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3,384 results on '"Lien, A."'

1. Cryptocurrency investment using the analytic hierarchy process

Author: Nguyen, Tran Le, Lien, Nguyen Thi Kim, Tai, Do Nhu, Nguyen, Tran Le, Lien, Nguyen Thi Kim, and Tai, Do Nhu
Abstract: Paired with digital currency, blockchain technology has gained immense popularity due to its transformative effects on traditional business processes. This research relies on secondary data from academic literature to identify influential factors in investors’ cryptocurrency decisions. Financial experts’ judgment employs descriptive analysis and a normative research approach. Addressing gaps, Analytic Hierarchy Process (AHP) model contributes to a comprehensive understanding of cryptocurrency indicators, combining fundamental and technical analyses. The outcome is an AHP model with a critical ranking of 15 criteria for multicriteria decision-making, encompassing five groups: crypto profile, economics, technical, social, and risk factors, all drawn from prior research. The paper finds that the technical analysis group is less important than other groups. Moreover, the indicator of market capital is the most significant to consider for cryptocurrency analysis before investment. This approach introduces a psychological dimension to investors’ choices, enhancing rational decisions in the digital currency realm and aiming to maximize investment profits.
Published: 2024

2. Electronic and optical properties of core–shell InAlN nanorods: a comparative study via LDA, LDA-1/2, mBJ, HSE06, G0W0 and BSE methods

Author: Pela, Ronaldo Rodrigues, Hsiao, Ching-Lien, Hultman, Lars, Birch, Jens, Gueorguiev, Gueorgui Kostov, Pela, Ronaldo Rodrigues, Hsiao, Ching-Lien, Hultman, Lars, Birch, Jens, and Gueorguiev, Gueorgui Kostov
Abstract: Currently, self-induced InAlN core-shell nanorods enjoy an advanced stage of accumulation of experimental data from their growth and characterization as well as a comprehensive understanding of their formation mechanism by the ab initio modeling based on Synthetic Growth Concept. However, their electronic and optical properties, on which most of their foreseen applications are expected to depend, have not been investigated comprehensively. GW and the Bethe-Salpeter equation (BSE) are regarded as the state-of-the-art ab initio methodologies to study these properties. However, one of the major drawbacks of these methods is the computational cost, much higher than density-functional theory (DFT). Therefore, in many applications, it is highly desirable to answer the question of how well approaches based on DFT, such as e.g. the local density approximation (LDA), LDA-1/2, the modified Becke-Johnson (mBJ) and the Heyd-Scuseria-Ernzerhof (HSE06) functionals, can be employed to calculate electronic and optical properties with reasonable accuracy. In the present paper, we address this question, investigating how effective the DFT-based methodologies LDA, LDA-1/2, mBJ and HSE06 can be used as approximate tools in studies of the electronic and optical properties of scaled down models of core-shell InAlN nanorods, thus, avoiding GW and BSE calculations., Funding Agencies|National Academic Infrastructure for Supercomputing in Sweden (NAISS) at the National Supercomputer Center (NSC) in Linkoeping - Swedish Research Council [NAISS 2023/5-116, NAISS 2023/23-161, 2018-05973]; Swedish Government Strategic Research Area in Materials Science on Advanced Functional Materials (AFM) at Linkoeping University [2009-00971]; Swedish Research Council [2018-04198]; Swedish Energy Agency [46658-1]
Published: 2024
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3. Interface-Engineered InAlN/Cu2O Photocathode with Accelerated Charge Separation for Boosting Photoelectrochemical Water Splitting

Author: Zeng, Hui, Chang, Jui-Che, Qu, Yuanju, Wang, Weimin, Birch, Jens, Hsiao, Ching-Lien, Sun, Jianwu, Zeng, Hui, Chang, Jui-Che, Qu, Yuanju, Wang, Weimin, Birch, Jens, Hsiao, Ching-Lien, and Sun, Jianwu
Abstract: Cu2O has emerged as a promising material for sustainable hydrogen production through photoelectrochemical (PEC) water splitting, while inefficient charge separation remains one of the main challenges hindering its development. In this work, a new architecture of InAlN/Cu2O heterojunction photocathode is demonstrated by combining n-type InAlN and p-type Cu2O to improve the charge separation efficiency, thus enhancing PEC water-splitting performance. The Pt/InAlN/Cu2O photoelectrode exhibits a photocurrent density of 2.54 mA cm(-2) at 0 V versus reversible hydrogen electrode (V-RHE), which is 3.21 times higher than that of Cu2O (0.79 mA cm(-2) at V-RHE). The enhanced PEC performance is explained by the larger built-in potential V-bi of 1.43 V formed at the InAlN/Cu2O p-n junction than that in the single Cu2O photocathode (V-bi < 0.77 V), which improves the separation of the photogenerated carriers and thus relieves the bottlenecks of charge-transfer kinetics at the electrode bulk and electrode/electrolyte interface. In this work, an avenue is opened for designing III-nitrides/Cu2O heterojunction toward solar energy conversion., Funding Agencies|Swedish Research Council (Vetenskapsradet) [2018-04670, 2020-04400, 2018-04198]; Swedish Foundation for International Cooperation in Research and Higher Education (STINT) [CH2016-6722]; Olle Engkvists Stiftelse [220-0222, 221-0259, 227-0244]; AForsk Foundation [23-489]; Carl Tryggers Stiftelse [CTS22-2190]; Swedish Research Council [2018-07152]; Swedish Governmental Agency for Innovation Systems [2018-04969]; Formas [2019-02496]
Published: 2024
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4. Study on different isolation technology on the performance of blue micro-LEDs array applications

Author: Lin, Shao-Hua, Lo, Yu-Yun, Hsu, Yu-Hsuan, Lin, Chien-Chung, Zan, Hsiao-Wen, Lin, Yi-Hsin, Wuu, Dong-Sing, Hsiao, Ching-Lien, Horng, Ray-Hua, Lin, Shao-Hua, Lo, Yu-Yun, Hsu, Yu-Hsuan, Lin, Chien-Chung, Zan, Hsiao-Wen, Lin, Yi-Hsin, Wuu, Dong-Sing, Hsiao, Ching-Lien, and Horng, Ray-Hua
Abstract: In this study, a 3 x 3 blue micro-LED array with a pixel size of 10 x 10 mu m2 and a pitch of 15 mu m was fabricated on an epilayer grown on a sapphire substrate using metalorganic chemical vapor deposition technology. The fabrication process involved photolithography, wet and dry etching, E-beam evaporation, and ion implantation technology. Arsenic multi-energy implantation was utilized to replace the mesa etching for electrical isolation, where the implantation depth increased with the average energy. Different ion depth profiles had varying effects on electrical properties, such as forward current and leakage currents, potentially causing damage to the n-GaN layer and increasing the series resistance of the LEDs. As the implantation depth increased, the light output power and peak external quantum efficiency of the LEDs also increased, improving from 5.33 to 9.82%. However, the efficiency droop also increased from 46.3 to 48.6%., Funding Agencies|National Science and Technoloy Concil, Taiwan
Published: 2024
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5. Density Functional Theory-Fed Phase Field Model for Semiconductor Nanostructures: The Case of Self-Induced Core-Shell InAlN Nanorods

Author: Machado Filho, Manoel Alves, Farmer, William, Hsiao, Ching-Lien, dos Santos, Renato Batista, Hultman, Lars, Birch, Jens, Ankit, Kumar, Gueorguiev, Gueorgui Kostov, Machado Filho, Manoel Alves, Farmer, William, Hsiao, Ching-Lien, dos Santos, Renato Batista, Hultman, Lars, Birch, Jens, Ankit, Kumar, and Gueorguiev, Gueorgui Kostov
Abstract: The self-induced formation of core-shell InAlN nanorods (NRs) is addressed at the mesoscopic scale by density functional theory (DFT)-resulting parameters to develop phase field modeling (PFM). Accounting for the structural, bonding, and electronic features of immiscible semiconductor systems at the nanometer scale, we advance DFT-based procedures for computation of the parameters necessary for PFM simulation runs, namely, interfacial energies and diffusion coefficients. The developed DFT procedures conform to experimental self-induced InAlN NRs' concerning phase-separation, core/shell interface, morphology, and composition. Finally, we infer the prospects for the transferability of the coupled DFT-PFM simulation approach to a wider range of nanostructured semiconductor materials., Funding Agencies|Swedish Government Strategic Research Area in Materials Science on Advanced Functional Materials (AFM) at Linkoping University [2009-00971]; Wallenberg Scholar Program Grant [KAW 2019.0290]; Swedish Research Council (Vetenskapsradet) [2018-04198]; Swedish Energy Agency (Energimyndigheten) [46658-1]; Brazilian Research agency CNPq; Brazilian Research agency CAPES; National Science Foundation (NSF) of the USA [CAREER-2145812]; Swedish Research Council [NAISS 2023/5-116, NAISS 2023/23-161]
Published: 2024
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6. Determination of effective Ga/N ratio to control GaN growth behavior in liquid-target reactive magnetron sputter epitaxy

Author: Lo, Yi-Ling, Prabaswara, Aditya, Chang, Jui-Che, Bairagi, Samiran, Zhirkov, Igor, Sandström, Per, Rosén, Johanna, Järrendahl, Kenneth, Hultman, Lars, Birch, Jens, Hsiao, Ching-Lien, Lo, Yi-Ling, Prabaswara, Aditya, Chang, Jui-Che, Bairagi, Samiran, Zhirkov, Igor, Sandström, Per, Rosén, Johanna, Järrendahl, Kenneth, Hultman, Lars, Birch, Jens, and Hsiao, Ching-Lien
Abstract: The optimization of magnetron sputter epitaxy (MSE) for the high -volume production of high -quality GaN films is increasingly important. This study concerns the influence of key MSE process parameters - including the partial pressure of process gas, target -to -substrate distance (TSD), and growth temperature (TG) - for the synthesis of GaN thin films using a liquid Ga target. It is observed that the effective Ga/N ratio on the substrate surface determines the film's growth behavior and affects material's composition and luminescence properties. A lower Ar/N2 partial pressure ratio substantially enhances the crystalline quality, evidenced by the reduction in peak width of x-ray rocking curves from approximately 1.25 degrees (N -rich regime) to 0.35 degrees (Ga-rich regime) and improved GaN bandgap emission. While target sputtered in a highly Ga-rich condition significantly reduces the GaN growth rate (R), primarily due to Ga desorption in nitrogen -limited condition at elevated TG. Ion mass spectrometry and rate monitor measurements demonstrate that the Ga/N ratio can be controlled by adjusting Ar/N2 pressure ratio in MSE process. A reduction in TSD from 9.3 cm to 7 cm resulted in an increased R from 541 nm/h to 731 nm/h, corroborated by Simulation of Metal Transport (SIMTRA) analysis. Temperature -dependent studies revealed that films grown above 900 degrees C exhibited flat surface with high crystalline quality., Funding Agencies|Energimyndigheten [466581]; Vetenskapsrdet [2018-04198]; Carl Tryggers Stiftelse [CTS 22:2029]; Stiftelsen Olle Engkvist Byggmastare [227-0244]; Linkoping University Library; Swedish Government Strategic Research Area in Materials Science on Functional Materials at Linkoping University [SFO-Mat-LiU 2009-00971]
Published: 2024
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7. Growth and Characterization of Sputtered InAlN Nanorods on Sapphire Substrates for Acetone Gas Sensing

Author: Horng, Ray-Hua, Cho, Po-Hsiang, Chang, Jui-Che, Singh, Anoop Kumar, Jhang, Sheng-Yuan, Liu, Po-Liang, Wuu, Dong-Sing, Bairagi, Samiran, Chen, Cheng-Hsu, Järrendahl, Kenneth, Hsiao, Ching-Lien, Horng, Ray-Hua, Cho, Po-Hsiang, Chang, Jui-Che, Singh, Anoop Kumar, Jhang, Sheng-Yuan, Liu, Po-Liang, Wuu, Dong-Sing, Bairagi, Samiran, Chen, Cheng-Hsu, Järrendahl, Kenneth, and Hsiao, Ching-Lien
Abstract: The demand for highly sensitive and selective gas sensors has been steadily increasing, driven by applications in various fields such as environmental monitoring, healthcare, and industrial safety. In this context, ternary alloy indium aluminum nitride (InAlN) semiconductors have emerged as a promising material for gas sensing due to their unique properties and tunable material characteristics. This work focuses on the fabrication and characterization of InAlN nanorods grown on sapphire substrates using an ultra-high vacuum magnetron sputter epitaxy with precise control over indium composition and explores their potential for acetone-gas-sensing applications. Various characterization techniques, including XRD, SEM, and TEM, demonstrate the structural and morphological insights of InAlN nanorods, making them suitable for gas-sensing applications. To evaluate the gas-sensing performance of the InAlN nanorods, acetone was chosen as a target analyte due to its relevance in medical diagnostics and industrial processes. The results reveal that the InAlN nanorods exhibit a remarkable sensor response of 2.33% at 600 ppm acetone gas concentration at an operating temperature of 350 degrees C, with a rapid response time of 18 s. Their high sensor response and rapid response make InAlN a viable candidate for use in medical diagnostics, industrial safety, and environmental monitoring., Funding Agencies|National Science and Technology Council of Taiwan
Published: 2024
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8. High growth rate magnetron sputter epitaxy of GaN using a solid Ga target

Author: Pingen, Katrin, Hinz, Alexander M., Sandström, Per, Wolff, Niklas, Kienle, Lorenz, Scipioni, Larry, Greer, James, von Hauff, Elizabeth, Hultman, Lars, Birch, Jens, Hsiao, Ching-Lien, Pingen, Katrin, Hinz, Alexander M., Sandström, Per, Wolff, Niklas, Kienle, Lorenz, Scipioni, Larry, Greer, James, von Hauff, Elizabeth, Hultman, Lars, Birch, Jens, and Hsiao, Ching-Lien
Abstract: Magnetron sputter epitaxy (MSE) is a promising processing route for group-III nitride semiconductors, with the potential to enable high-quality and low cost GaN growth for widespread use. However, fundamental techno-logical hurdles must be overcome to enable the adoption of MSE in industrial production. Here, we present a new UHV-compatible magnetron design with high-performance cooling, enabling high GaN growth rates at high growth temperatures using a solid Ga target. The magnetron is tested with a wide range of process parameters and a stable process is feasible while maintaining the solid state of the Ga target. High GaN growth rates of up to 5 mu m/h are achieved at room temperature and a growth rate of 4 mu m/h at high temperature, which is one order of magnitude higher compared to MSE with a liquid target. We grow GaN on c-plane sapphire substrates and show the impact of partial pressure ratio and target-to-substrate distance (TSD) on growth rate, film morphology and crystal quality of GaN films with scanning electron microscopy and X-ray diffraction. While the growth rate and film morphology are strongly impacted by the process parameter variation, the crystal quality is further impacted by the overall film thickness. For a 2 mu m thick GaN film a full width at half maximum of X-ray rocking curve (omega-FWHM) of GaN 10 1 1 reflection of 0.32 degrees is achieved. We demonstrate a process window for growth of dense and smooth GaN films with high crystal quality using low N2 flow rates and high TSD. By introducing a 20 nm AlN nucleation layer prior to the growth of 390 nm GaN, the omega-FWHM of GaN 0002 reflection of 0.19 degrees is achieved. The epitaxially grown crystalline structure is precisely examined by transmission electron microscopy.
Published: 2024
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9. Navigating Threats of Wildfires and Individual Rights to Adopt 100% Tobacco-Free Policy in Rural California Community Colleges.

Author: Lui, Camillia K, Lui, Camillia K, Trieu, Sang Leng, Gomes, Anne-Marie, Moose, Katie, Dao, Lien, Tehrani, Setareh Harsamizadeh, Tong, Elisa K, Mulia, Nina, Lui, Camillia K, Lui, Camillia K, Trieu, Sang Leng, Gomes, Anne-Marie, Moose, Katie, Dao, Lien, Tehrani, Setareh Harsamizadeh, Tong, Elisa K, and Mulia, Nina
Abstract: BACKGROUND: In California, all four-year public colleges have adopted 100% smoke-/tobacco-free policies (TFP) whereas community colleges (CCs), particularly rural CCs, are less likely to have tobacco-free environments. This raises concerns about health equity, particularly because smoking prevalence is higher in rural areas compared to urban. We examined policy adoption barriers and facilitators for rural California CCs with the aim of providing lessons learned to support TFP adoption by rural CCs and improve conditions for student health and well-being. METHODS: A multiple case study of four CCs in California with (n = 2) and without (n = 2) TFPs was conducted. Semi-structured interviews with 12 campus and community stakeholders, school administrative data, and policy-relevant documents were analyzed at the case level with comparison across cases to identify key barriers, facilitators and campus-specific experiences. RESULTS: All four CCs shared similar barriers to policy adoption including concerns about wildfires, individual rights, and fear of marginalizing people who smoke on campus. These CCs have experienced serious wildfires in the last ten years, have high community smoking prevalence, and fewer school resources for student health. For the two tobacco-free CCs, long-term wildfire mitigation efforts along with leadership support, campus/community partnerships and a collective approach involving diverse campus sectors were essential facilitators in successful TFP adoption. CONCLUSION: Study results underscore contextual pressures and campus dynamics that impact tobacco control efforts at colleges in rural communities. Strategies to advance college TFP adoption and implementation should recognize rural cultural and community priorities.
Published: 2024

10. Quasinormal Modes in Modified Gravity using Physics-Informed Neural Networks

Author: Luna, Raimon, Doneva, Daniela D., Font, José A., Lien, Jr-Hua, Yazadjiev, Stoytcho S., Luna, Raimon, Doneva, Daniela D., Font, José A., Lien, Jr-Hua, and Yazadjiev, Stoytcho S.
Abstract: In this paper, we apply a novel approach based on physics-informed neural networks to the computation of quasinormal modes of black hole solutions in modified gravity. In particular, we focus on the case of Einstein-scalar-Gauss-Bonnet theory, with several choices of the coupling function between the scalar field and the Gauss-Bonnet invariant. This type of calculation introduces a number of challenges with respect to the case of General Relativity, mainly due to the extra complexity of the perturbation equations and to the fact that the background solution is known only numerically. The solution of these perturbation equations typically requires sophisticated numerical techniques that are not easy to develop in computational codes. We show that physics-informed neural networks have an accuracy which is comparable to traditional numerical methods in the case of numerical backgrounds, while being very simple to implement. Additionally, the use of GPU parallelization is straightforward thanks to the use of standard machine learning environments., Comment: 13 pages, 9 figures
Published: 2024

11. Reporting on invasive lobular breast cancer in clinical trials: a systematic review

Author: Pathologie patiënten zorg, Pathologie Groep Derksen, Cancer, Van Baelen, Karen, Van Cauwenberge, Josephine, Maetens, Marion, Beck, Gabriela, Camden, Ann, Chase, Megan Claire, Fraser, Valerie, Freeney, Siobhan, Hutcheson, Laurie, Levine, Julia K., Lien, Tone, Terveer, Rian, Turner, Claire, Senkus, Elzbieta, Jankowitz, Rachel C., Vandecaveye, Vincent, Floris, Giuseppe, Neven, Patrick, Wildiers, Hans, Sawyer, Elinor, Vincent-Salomon, Anne, Derksen, Patrick W.B., Desmedt, Christine, Pathologie patiënten zorg, Pathologie Groep Derksen, Cancer, Van Baelen, Karen, Van Cauwenberge, Josephine, Maetens, Marion, Beck, Gabriela, Camden, Ann, Chase, Megan Claire, Fraser, Valerie, Freeney, Siobhan, Hutcheson, Laurie, Levine, Julia K., Lien, Tone, Terveer, Rian, Turner, Claire, Senkus, Elzbieta, Jankowitz, Rachel C., Vandecaveye, Vincent, Floris, Giuseppe, Neven, Patrick, Wildiers, Hans, Sawyer, Elinor, Vincent-Salomon, Anne, Derksen, Patrick W.B., and Desmedt, Christine
Published: 2024

12. Factors Influencing the Implementation of a Fall Prevention Exercise Program for Community-Dwelling Older Adults: A Qualitative Study Guided by the PRECEDE-PROCEED Model

Author: Ong,Rebecca Hui Shan, Nurjono,Milawaty, Oh,Hong Choon, Lien,Christopher, Jumala,Junisha, Teo,Raymond, Gan,Peiying, Kan,Karen Lai Ming, Rosle,Lina Farhana, Wee,Moi Kim, Low,Shou Lin, Ong,Rebecca Hui Shan, Nurjono,Milawaty, Oh,Hong Choon, Lien,Christopher, Jumala,Junisha, Teo,Raymond, Gan,Peiying, Kan,Karen Lai Ming, Rosle,Lina Farhana, Wee,Moi Kim, and Low,Shou Lin
Abstract: Rebecca Hui Shan Ong,1 Milawaty Nurjono,1 Hong Choon Oh,1â 3 Christopher Tsung Chien Lien,4 Junisha Jumala,5 Raymond Choon Chye Teo,6 Peiying Gan,7 Karen Lai Ming Kan,8 Lina Farhana Rosle,8 Moi Kim Wee,8 Shou Lin Low4 1Health Services Research, Changi General Hospital, Singapore; 2Centre for Population Health Research and Implementation, Singapore Health Services, Singapore; 3Health Services & Systems Research, Duke-NUS Medical School, Singapore; 4Geriatric Medicine, Changi General Hospital, Singapore; 5Rehabilitative Services, Changi General Hospital, Singapore; 6Singapore Sport & Exercise Medicine Centre, Changi General Hospital, Singapore; 7Community Nursing, Changi General Hospital, Singapore; 8Community and Mental Health, Changi General Hospital, SingaporeCorrespondence: Rebecca Hui Shan Ong, Health Services Research, Changi General Hospital, 2 Simei Street 3, 529889, Singapore, Tel +65 6788 8833, Fax +65 67826049, Email Rebecca.ong.h.s@singhealth.com.sgPurpose: Multiple falls preventions exercise programs have been rolled out globally, however, few studies have explored the factors necessary for their implementation. This study aimed to investigate the factors influencing the implementation of âSteady Feetâ (SF), a 12-week community fall prevention exercise intervention, for older adults living in Singapore.Material and Methods: This study utilized purposive sampling to recruit two participant groups: (i) older adults who declined or withdrew from the program and (ii) providers of the program (eg, instructors). We conducted 22 semi-structured interviews, recordings were transcribed and translated, followed by thematic analysis. Data collection and analysis were informed by the PRECEDE-PROCEED framework, focusing on predisposing, enabling, and reinforcing factors.Results: Findings revealed two predisposing, four enabling, and two reinforcing themes. Predisposing themes encompassed (i) knowledge, attitudes, and practices of older adults towards exe
Published: 2024

13. The Impact of Psychological Burdens and Vaccine Worries on Confidence and Adherence to Governmental Policies Against COVID-19 Among Patients with Substance Use Disorder: A Cross-Sectional Study in Taiwan

Author: Li,Dian-Jeng, Huang,Joh-Jong, Hsu,Su-Ting, Wu,Hui-Ching, Hsieh,Kuan-Ying, Lin,Guei-Ging, Wu,Pei-Jhen, Liu,Chin-Lien, Chou,Frank, Li,Dian-Jeng, Huang,Joh-Jong, Hsu,Su-Ting, Wu,Hui-Ching, Hsieh,Kuan-Ying, Lin,Guei-Ging, Wu,Pei-Jhen, Liu,Chin-Lien, and Chou,Frank
Abstract: Dian-Jeng Li,1,2,&ast; Joh-Jong Huang,3,&ast; Su-Ting Hsu,1 Hui-Ching Wu,4 Kuan-Ying Hsieh,1 Guei-Ging Lin,1 Pei-Jhen Wu,1 Chin-Lien Liu,1 Frank Huang-Chih Chou1 1Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung, Taiwan; 2Department of Nursing, Meiho University, Pingtung, Taiwan; 3Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan; 4Department of Social Work, Taiwan Social Resilience Center, National Taiwan University, Taipei, Taiwan&ast;These authors contributed equally to this workCorrespondence: Frank Huang-Chih Chou, Kaohsiung Municipal Kai-Syuan, Psychiatric Hospital, No. 130, Kaisyuan 2nd Road, Lingya District, Kaohsiung, 802211, Taiwan, Tel +886 7-751-3171 Ext. 2302, Fax +886 7-771-2494, Email f50911.tw@yahoo.com.tw Hui-Ching Wu, Department of Social Work, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei, 10617, Taiwan, Tel +886 2-3366-9483, Fax +886 2-2368-0532, Email hchingwu@ntu.edu.twIntroduction: The coronavirus disease 2019 (COVID-19) pandemic has had an impact on patients with substance use disorder (SUD). We aimed to investigate factors associated with confidence and adherence to governmental policies against COVID-19 (social desirability) among patients with SUD.Methods: This cross-sectional study was conducted during 2020 to 2021. Patients with SUD and healthy controls were recruited. The severity of sleep disturbance, social desirability, drug dependence, vaccine worries, other psychological burdens and demographic variables were collected through self-administrated questionnaires. Differences between the SUD and control groups were estimated. Hierarchical regression analysis was used to identify significant relationships between social desirability and other factors.Results: In total, 58 of patients with SUD and 47 healthy controls were recruited. The patients with SUD had a lower level of social desirability and more severe sleep disturbance than the control
Published: 2024

14. Navigating periviability:On the ethics of personalization at the limit of viability

Author: De Proost, Lien and De Proost, Lien
Published: 2024

15. Measurement of the radius dependence of charged-particle jet suppression in Pb–Pb collisions at √sNN = 5.02 TeV

Author: Acharya, Shreyasi, Adamová, Dagmar, Adler, Alexander, Aglieri Rinella, Gianluca, Agnello, Michelangelo, Agrawal, Neelima, Ahammed, Zubayer, Ahmad, Shakeel, Ahn, Sang Un, Ahuja, Ishaan, Akindinov, Alexander, Al-Turany, Mohammad, Aleksandrov, Dmitry, Alessandro, Bruno, Alfanda, Haidar Mas’ud, Alfaro Molina, Jose Ruben, Ali, Bushra, Alici, Andrea, Alizadehvandchali, Negin, Alkin, Anton, Alme, Johan, Alocco, Giacomo, Alt, Torsten, Altsybeev, Igor, Alvarado Garcia, Jesús Ricardo, Anaam, Mustafa Naji, Andrei, Cristian, Andronic, Anton, Anguelov, Venelin, Antinori, Federico, Antonioli, Pietro, Apadula, Nicole, Aphecetche, Laurent Bernard, Appelshäuser, Harald, Arata, Carolina, Arcelli, Silvia, Aresti, Mauro, Arnaldi, Roberta, Arneiro, Jhoao Gabriel Martins Campos Almeida, Arsene, Ionut Cristian, Arslandok, Mesut, Augustinus, Andre, Averbeck, Ralf Peter, Azmi, Mohd Danish, Badalà, Angela, Bae, Joonsuk, Baek, Yong Wook, Bai, Xiaozhi, Bailhache, Raphaëlle, Bailung, Yoshini, Balbino, Alessandro, Baldisseri, Alberto, Balis, Bartosz, Banerjee, Debjani, Banoo, Zarina, Barbera, Roberto, Barile, Francesco, Barioglio, Luca, Barlou, Maria, Barnaföldi, Gergely Gábor, Barnby, Lee Stuart, Ramillien Barret, Valerie, Barreto De Oliveira Campos, Leonardo, Bartels, Clara, Barth, Klaus, Bartsch, Esther, Bastid, Nicole, Basu, Sumit, Batigne, Guillaume, Battistini, Daniel, Batyunya, Boris, Bauri, Dibakar, Bazo Alba, José Luis, Bearden, Ian Gardner, Beattie, Caitlin, Becht, Pascal, Behera, Debadatta, Belikov, Iouri, Bell Hechavarria, Ailec de la Caridad, Bellini, Francesca, Bellwied, Rene, Belokurova, Svetlana, Belyaev, Vladimir, Bencédi, Gyula, Beolè, Stefania, Berdnikov, Yaroslav, Berdnikova, Anastasia, Bergmann, Luisa, Besoiu, Mihaela Gabriela, Betev, Latchezar, Bhaduri, Partha Pratim, Bhasin, Anju, Bhat, Mohammad Asif, Bhattacharjee, Buddhadeb, Bianchi, Livio, Bianchi, Nicola, Bielčík, Jaroslav, Bielčíková, Jana, Biernat, Jacek, Bigot, Alexandre Patrick, Bilandzic, Ante, Biro, Gabor, Biswas, Saikat, Bize, Nicolas Luc, Blair, Justin Thomas, Blau, Dmitry S., Blidaru, Mihail-Bogdan, Bluhme, Nora, Blume, Christoph, Boca, Gianluigi, Bock, Friederike, Bodova, Tea, Bogdanov, Alexey A., Boi, Stefano, Bok, Jeongsu, Boldizsar, Laszlo, Bombara, Marek, Bond, Peter Matthew, Bonomi, Germano, Borel, Herve, Borissov, Alexander, Borquez Carcamo, Andres Gerardo, Bossi, Hannah, Botta, Elena, El Mard Bouziani, Youssef, Bratrud, Lars, Braun-Munzinger, Peter, Bregant, Marco, Broz, Michal, Bruno, Giuseppe Eugenio, Buckland, Matthew Daniel, Budnikov, Dmitry, Büsching, Henner, Bufalino, Stefania, Bühler, Paul, Buthelezi, Edith Zinhle, Bylinkin, Alexander, Bysiak, Sebastian Adam, Cai, Mengke, Caines, Helen Louise, Caliva, Alberto, Calvo Villar, Ernesto, Mejia Camacho, Juan Manuel, Camerini, Paolo, Canedo, Fabio de Moraes Canedo, Weyhmiller, Sierra Lisa, Carabas, Mihai, Amatriain Carballo, Aitor, Carnesecchi, Francesca, Caron, Robin Albert Andre, Abranches De Carvalho, Leopoldo, Castillo Castellanos, Javier Ernesto, Catalano, Fabio, Ceballos Sanchez, Cesar, Chakaberia, Irakli, Chakraborty, Pritam, Chandra, Sinjini, Chapeland, Sylvain, Chartier, Marielle, Chattopadhyay, Subhasis, Chattopadhyay, Sukalyan, Cheng, Tiantian, Cheshkov, Cvetan Valeriev, Cheynis, Brigitte, Chibante Barroso, Vasco Miguel, Chinellato, David Dobrigkeit, Chizzali, Emma Sophia, Cho, Jaeyoon, Cho, Soyeon, Chochula, Peter, Christakoglou, Panagiotis, Christensen, Christian Holm, Christiansen, Peter L., Chujo, Tatsuya, Ciacco, Mario, Cicalò, Corrado, Cindolo, Federico, Ciupek, Michael Rudolf, Clai, Giulia, Colamaria, Fabio Filippo, Colburn, Jonathan Samuel, Colella, Domenico, Colocci, Manuel, Concas, Matteo, Conesa Balbastre, Gustavo, Conesa Del Valle, Zaida, Contin, Giacomo, Contreras Nuno, Jesus Guillermo, Coquet, Maurice Louis, Cormier, Thomas Michael, Cortese, Pietro, Cosentino, Mauro Rogerio, Costa, Filippo, Costanza, Susanna, Cot, Corentin, Crkovská, Jana, Crochet, Philippe, Cruz Torres, Reynier, Cui, Pengyao, Dainese, Andrea, Danisch, Meike Charlotte, Danu, Andrea, Das, Prottay, Das, Prottoy, Das, Supriya, Dash, Archita Rani, Dash, Sadhana, De Caro, Annalisa, De Cataldo, Giacinto, Cuveland, Jan de, De Falco, Alessandro, De Gruttola, Daniele, De Marco, Nora, De Martin, Chiara, De Pasquale, Salvatore, Deb, Rohaan, Deb, Suman, Debski, Roman Jan, Deja, Kamil Rafal, Del Grande, Raffaele, Dello Stritto, Luigi, Deng, Wenjing, Dhankher, Preeti, Di Bari, Domenico, Di Mauro, Antonio, Diab, Batoul, Arteche Diaz, Raul, Dietel, Thomas, Ding, Yanchun, Divià, Roberto, Dixit, Dhruv Utpalkumar, Djuvsland, Øystein, Dmitrieva, Uliana, Dobrin, Alexandru Florin, Donigus, Benjamin, Dubinski, Jan Michal, Dubla, Andrea, Dudi, Sandeep, Dupieux, Pascal, Durkac, Martin, Dzalaiova, Natalia, Eder, Tabea Maria, Ehlers, Raymond James, III, Eisenhut, Florian, Elia, Domenico, Erazmus, Barbara Ewa, Ercolessi, Francesca, Erhardt, Filip, Ersdal, Magnus Rentsch, Espagnon, Bruno, Eulisse, Giulio, Evans, David, Evdokimov, Sergey, Fabbietti, Laura, Faggin, Mattia, Faivre, Julien, Fan, Feng, Fan, Wenqing, Fantoni, Alessandra, Fasel, Markus, Fecchio, Pietro, Feliciello, Alessandro, Feofilov, Grigori A., Fernández Téllez, Arturo, Ferrandi De Oliveira, Lucas, Bertran Ferrer, Marta, Ferrero, Andrea, Ferrero, Chiara, Ferretti, Alessandro, Feuillard, Victor Jose Gaston, Filova, Vendulka, Finogeev, Dmitry, Fionda, Fiorella Maria Celeste, Flor, Fernando Antonio, Flores, Amanda Nicole, Foertsch, Siegfried Valentin, Fokin, Ilya, Fokin, Sergey, Fragiacomo, Enrico, Frajna, Eszter, Fuchs, Ulrich, Funicello, Nicola, Furget, Christophe, Furs, Artur, Fusayasu, Takahiro, Gaardhoeje, Jens Joergen, Gagliardi, Martino, Gago Medina, Alberto Martín, Duarte Galvan, Carlos, Gangadharan, Dhevan Raja, Ganoti, Paraskevi, Garabatos Cuadrado, Jose Maria, García Chávez, Tonatiuh, Garcia-Solis, Edmundo Javier, Gargiulo, Corrado, Demmich, Katharina, Gasik, Piotr, Gautam, Amrit, Ducati, Maria Beatriz de Leone Gay, Germain, Marie, Ghimouz, Abderrahmane, Ghosh, Chandrasekhar, Giacalone, Marco, Giubellino, Paolo, Giubilato, Piero, Glaenzer, Aude Marie Camille, Glässel, Peter, Glimos, Ewa, Goh, Daniel Jia Qin, Gonzalez Sebastian, Victor Luis, Gorgon, Marek Boguslaw, Gotovac, Sven, Grabski, Varlen, Graczykowski, Łukasz Kamil, Grecka, Ekaterina, Grelli, Alessandro, Grigoraș, Costin, Grigoryev, Vladislav, Grigoryan, Smbat, Grosa, Fabrizio, Große-Oetringhaus, Jan Fiete, Grosso, Raffaele, Grund, David, Garcia Guardiano, Gabriel, Guernane, Rachid, Guilbaud, Maxime Rene Joseph, Gulbrandsen, Kristjan Herlache, Gündem, Tuba, Gunji, Taku, Guo, Wenda, Gupta, Anik, Gupta, Ramni, Gupta, Rashi, Gwizdziel, Katarzyna, Gyulai, Laszlo, Haake, Rüdiger, Habib, Michael Karim, Hadjidakis, Cynthia Marie, Haider, Fakhar Ul, Hamagaki, Hideki, Hamdi, Abdennacer, Hamid, Mohammed, Han, Younghoon, Hannigan, Ryan, Hansen, Joachim, Haque, Md Rihan, Harris, John William, Harton, Austin Vincent, Hassan, Hadi, Hatzifotiadou, Despina, Hauer, Philip, Havener, Laura Brittany, Heckel, Stefan Thomas, Hellbär, Ernst, Helstrup, Håvard, Hemmer, Marvin, Herman, Tomáš, Herrera Corral, Gerardo Antonio, Herrmann, Florian, Herrmann, Sarah Nina Edwige, Hetland, Kristin Fanebust, Heybeck, Benedict, Hillemanns, Hartmut, Hippolyte, Boris, Hoffmann, Felix Willi, Hofman, Bas, Hohlweger, Bernhard, Hong, Geunhee, Horst, Maximilian, Horzyk, Adrian, Hou, Yongzhen, Hristov, Peter, Hughes, Charles, Huhn, Patrick, Huhta, Laura Maria, Humanic, Thomas J., Hutson, Alek, Hutter, Dirk, Ilkaev, Radiy, Ilyas, Hira, Inaba, Motoi, Innocenti, Gian Michele, Ippolitov, Mikhail, Isakov, Artem, Isidori, Tommaso, Islam, Md Samsul, Ivanov, Marian, Ivanov, Vladimir, Jablonski, Miroslaw, Jacak, Barbara, Jacazio, Nicolò, Jacobs, Peter Martin, Jadlovska, Slavka, Jadlovsky, Jan, Jaelani, Syaefudin, Jahnke, Cristiane, Jakubowska, Monika Joanna, Janik, Malgorzata Anna, Janson, Thomas, Jercic, Marko, Jia, Shihai, Paz Jimenez, Alom Antonio, Jonas, Florian, Jowett, John M., Jung, Jerome, Jung, Michael, Junique, Antoine Jean-Simon, Jusko, Anton, Karwowska, Maja Jadwiga, Kaewjai, Jetnipit, Kalinak, Peter, Kalteyer, Annalena Sophie, Kalweit, Alexander Philipp, Kaplin, Vladimir, Karasu Uysal, Ayben, Karatović, David, Karavichev, Oleg V., Karavicheva, Tatiana L., Karczmarczyk, Przemyslaw, Karpechev, Evgeny, Kebschull, Udo, Keidel, Ralf, Keijdener, Darius, Keil, Markus, Ketzer, Bernhard, Khade, Swapnesh Santosh, Khan, Ahsan Mehmood, Khan, Shaista, Khanzadeev, Alexei, Kharlov, Yury, Khatun, Anisa, Khuntia, Arvind, Kidson, Miles Brower, Kileng, Bjarte, Kim, Beomkyu, Kim, Chong, Kim, Dong Jo, Kim, Eun Joo, Kim, Jaehyun, Kim, Jinsook, Junlee, Kim, Kim, Minjung, Kim, Se Yong, Kim, Taejun, Kimura, Kento, Kirsch, Stefan, Kisel, Ivan, Kiselev, Sergej N., Kisiel, Adam Ryszard, Kitowski, Jacek Pawel, Klay, Jennifer Lynn, Klein, Jochen, Klein, Spencer Robert, Klein-Bösing, Christian, Kleiner, Matthias, Klemenz, Thomas, Kluge, Alexander, Knospe, Anders Garritt, Kobdaj, Chinorat, Kollegger, Thorsten, Kondratyev, Andrey, Kondratyeva, Natalia, Kondratyuk, Evgeny, König, Joshua Leon, Königstorfer, Stephan Alexander, Konopka, Piotr Jan, Kornakov Van, Georgui, Korwieser, Maximilian, Koryciak, Sebastian Dominik, Kotliarov, Artem, Kovalenko, Vladimir, Kowalski, Marek, Kozhuharov, Venelin Valeriev, Králik, Ivan, Kravčáková, Adela, Krcal, Lubos, Krivda, Marian, Krizek, Filip, Krizkova Gajdosova, Katarina, Kroesen, Martin, Krüger, Mario, Krupová, Diana Maria, Kryshen, Evgeny, Kucera, Vit, Kuhn, Christian Claude, Kuijer, Paulus Gerardus, Kumaoka, Takuya, Kumar, Deekshit, Kumar, Lokesh, Kumar, Navneet, Kumar, Shyam, Kundu, Sourav, Kurashvili, Podist, Kurepin, Alexander, Kurepin, Alexey B., Kuryakin, Alexey, Kushpil, Svetlana, Kvapil, Jakub, Kweon, Min Jung, Kwon, Jiyeon, Kwon, Youngil, La Pointe, Sarah Louise, La Rocca, Paola, Lakrathok, Anantachai, Lamanna, Massimo, Langoy, Rune, Larionov, Pavel, Laudi, Elisa, Lautner, Lukas, Lavicka, Roman, Lazareva, Tatiana V., Lea, Ramona, Lee, Hyungjun, Legrand, Iosif-charles, Legras, Gauthier, Lehrbach, Johannes, Lelek, Tomasz Marcin, Lemmon, Roy Crawford, Leon Monzon, Ildefonso, Lesch, Marcel Markus, Lesser, Ezra Douglas, Lévai, Peter, Li, Xiaomei, Li, Xing Long, Lien, Jørgen André, Lietava, Roman, Likmeta, Iris, Lim, Bong-Hwi, Lim, Sanghoon, Lindenstruth, Volker, Lindner, Amelia, Lippmann, Christian, Liu, Alwina Ruixin, Liu, Donghai, Liu, Jian, Mckibben Lofnes, Ingrid, Loizides, Constantinos, Lokos, Sandor, Lomker, Johanna, Lončar, Petra, López, Jorge Andres, Lopez, Xavier Bernard, López Torres, Ernesto, Lu, Pengzhong, Luhder, Jens Robert, Lunardon, Marcello, Luparello, Grazia, Ma, Yu-Gang, Maevskaya, Alla, Mager, Magnus, Maire, Antonin, Makariev, Martin Vasilev, Malaev, Mikhail, Malfattore, Giovanni, Malik, Nasir Mehdi, Malik, Qasim Waheed, Malik, Salman Khurshid, Malinina, Liudmila, Mal Kevich, Dmitry, Mallick, Dukhishyam, Mallick, Neelkamal, Mandaglio, Giuseppe, Mandal, Sushobhan Kumar, Manko, Vladislav, Manso, Franck, Manzari, Vito, Mao, Yaxian, Margagliotti, Giacomo Vito, Margotti, Anselmo, Marin, Ana Maria, Markert, Christina, Martinengo, Paolo, Martinez, Jacobb Lee, Martínez Hernández, Mario Iván, García Martínez, Ginés, Martins Palhares, Maria Paula, Masciocchi, Silvia, Masera, Massimo, Masoni, Alberto, Massacrier, Laure Marie, Mastroserio, Annalisa, Matonoha, Oliver, Matuoka, Paula Fernanda Toledo, Matyja, Adam Tomasz, Mayer, Christoph, Lafuente Mazuecos, Antonio, Mazzaschi, Francesco, Mazzilli, Marianna, Mdhluli, Joyful Elma, Mechler, Adrian Florin, Melikyan, Yury, Menchaca-rocha, Arturo Alejandro, Meninno, Elisa, Sasikumar Menon, Anjaly, Meres, Michal, Mhlanga, Sibaliso, Miake, Yasuo, Micheletti, Luca, Migliorin, Lucrezia Camilla, Mihaylov, Dimitar Lubomirov, Mikhaylov, Konstantin, Mishra, Aditya Nath, Czeslaw Miskowiec, Dariusz, Modak, Abhi, Mohanty, Auro Prasad, Mohanty, Bedangadas, Khan, Mohammed Mohisin, Molander, Mikael Andreas, Moravcova, Zuzana, Mordasini, Cindy, Moreira De Godoy Willems, Denise Aparecida, Morozov, Igor, Morsch, Andreas, Mrnjavac, Teo, Muccifora, Valeria, Muhuri, Sanjib, Mulligan, James Declan, Mulliri, Alice, Gameiro Munhoz, Marcelo, Munzer, Robert Helmut, Murakami, Hikari, Murray, Sean, Musa, Luciano, Musinsky, Jan, Myrcha, Julian Wojciech, Naik, Bharati, Nambrath, Anjali Ila, Nandi, Basanta Kumar, Nania, Rosario, Nappi, Eugenio, Nassirpour, Adrian Fereydon, Nath, Abhishek, Nattrass, Christine, Naydenov, Momchil Nikolaev, Neagu, Alexandra, Negru, Adrian-eduard, Nellen, Lukas, Nesbo, Simon Voigt, Nešković, Gvozden, Nesterov, Dmitrii, Nielsen, Borge Svane, Nielsen, Emil Gorm, Nikolaev, Sergey, Nikulin, Sergey, Nikulin, Vladimir, Noferini, Francesco, Noh, Seoyoung, Nomokonov, Petr V., Norman, Jaime, Novitzky, Norbert, Nowakowski, Piotr, Nyanin, Alexander, Nystrand, Joakim Ingemar, Ogino, Masanori, Ohlson, Alice, Okorokov, Vitaly A., Oleniacz, Janusz, Silva, Antonio Carlos Oliveira da, Oliver, Michael Henry, Önnerstad, Anna, Oppedisano, Chiara, Ortiz Velasquez, Antonio, Otwinowski, Jacek Tomasz, Oya, Motomi, Oyama, Ken, Pachmayer, Yvonne C., Padhan, Sonali, Pagano, Davide, Paic, Guy, Paisano Guzman, Sergio, Palasciano, Antonio, Panebianco, Stefano Matthias, Park, Hanseo, Park, Hyebin, Park, Jonghan, Parkkila, Jasper Elias, Patra, Rajendra Nath, Paul, Biswarup, Pei, Hua, Peitzmann, Thomas, Peng, Xinye, Pennisi, Michele, Pereira, Luis Gustavo, Peresunko, Dmitry Yurevich, Mesa Perez, Guillermo, Perrin, Sébastien, Pestov, Yury N., Petráček, Vojtech, Petrov, Vitalii, Petrovici, Mihai A., Pezzi, Rafael Peretti, Piano, Stefano, Pikna, Miroslav, Pillot, Philippe, Pinazza, Ombretta, Pinsky, Lawrence, Pinto, Chiara, Pisano, Silvia, Płoskoń, Mateusz, Planinic, Mirko, Pliquett, Fabian, Poghosyan, Martin G., Polishchuk, Boris, Politano, Stefano, Poljak, Nikola, Pop, Amalia, Porteboeuf, Sarah Julie, Pozdniakov, Valerii, Yoval Pozos, Irandheny, Pradhan, Kshitish Kumar, Prasad, Sidharth Kumar, Prasad, Suraj, Preghenella, Roberto, Prino, Francesco, Pruneau, Claude A., Pshenichnov, Igor A., Puccio, Maximiliano, Pucillo, Sara, Pugelova, Zuzana, Qiu, Shi, Quaglia, Luca, Quishpe Quishpe, Raquel Estefania, Ragoni, Simone, Rakotozafindrabe, Andry Malala, Ramello, Luciano, Rami, Fouad, Rancien, Thibaut Albert, Rasa, Marika, Räsänen, Sami Sakari, Rath, Rutuparna, Rauch, Max Philip, Ravasenga, Ivan, Read, Kenneth Francis, Reckziegel, Christian, Redelbach, Andreas Ralph, Redlich, Krzysztof, Reetz, Carolina Anna, Regules Medel, Hector David, Rehman, Attiq ur, Reidt, Felix, Reme-Ness, Haakon André, Jakubcinova, Zuzana, Reygers, Klaus, Riabov, Andrei, Riabov, Viktor, Ricci, Riccardo, Richter, Matthias Rudolph, Riedel, Anton Albert, Riegler, Werner, Ristea, Cătălin-Lucian, Rodrı́guez Cahuantzi, Mario, Rodríguez Ramírez, Saúl Aníbal, Røed, Ketil, Rogalev, Roman, Rogochaya, Elena, Rogoschinski, Tim Sebastian, Rohr, David, Röhrich, Dieter, Fierro Rojas, Pablo, Rojas Torres, Solangel, Rokita, Przemyslaw Stefan, Romanenko, Gleb, Ronchetti, Federico, Rosano, Antonina, Dominguez Rosas, Edgar, Rosłon, Krystian, Rossi, Andrea, Roy, Ankhi, Roy, Subhadeep, Rubini, Nicola, Ruggiano, Daniela, Rui, Rinaldo, Russek, Pawel Grzegorz, Russo, Roberto, Rustamov, Anar, Ryabinkin, Evgeny, Ryabov, Yury, Rybicki, Andrzej Krzysztof, Rytkönen, Heidi Maria, Rzęsa, Wioleta, Saarimäki, Oskari Antti Matti, Sadek, Rita, Sadhu, Samrangy, Sadovskiy, Sergey, Sætre, Jon-are, Šafařík, Karel, Saha, Pallabi, Saha, Sumit Kumar, Saha, Swati, Sahoo, Baidyanath, Sahoo, Bhagyarathi, Sahoo, Raghunath, Sahoo, Sarita, Sahu, Dushmanta, Sahu, Pradip Kumar, Saini, Jogender, Tropp, Klaudia, Sakai, Shingo, Panikkassery Salvan, Malavika, Sambyal, Sanjeev Singh, Sanna, Isabella, Saramela, Thiago Badaró, Sarkar, Debojit, Sarkar, Nachiketa, Sarma, Pranjal, Sarritzu, Valerio, Mantovani Sarti, Valentina, Sas, Mike Henry Petrus, Schambach, Johann Joachim, Scheid, Horst Sebastian, Schiaua, Claudiu Cornel, Schicker, Rainer, Schmah, Alexander, Schmidt, Christian Joachim, Schmidt, Hans Rudolf, Schmidt, Marten Ole, Schmidt, Martin, Schmidt, Nicolas, Schmier, Austin Robert, Schotter, Romain, Wilhelmi, Alexander, Schukraft, Jürgen, Schwarz, Kilian Eberhard, Schweda, Kai Oliver, Scioli, Gilda, Scomparin, Enrico, Seger, Janet Elizabeth, Sekiguchi, Yuko, Sekihata, Daiki, Selyuzhenkov, Ilya, Senyukov, Serhiy, Seo, Jin Joo, Serebryakov, Dmitry, Šerkšnytė, Laura, Sevcenco, Adrian, Shaba, Tebogo Joyce, Shabetai, Alexandre, Shahoyan, Ruben, Shangaraev, Artem, Sharma, Anjali, Sharma, Binti, Sharma, Deependra, Sharma, Himanshu, Sharma, Meenakshi, Sharma, Samarth, Sharma, Sheetal, Sharma, Upasana, Shatat, Afnan, Sheibani, Oveis, Shigaki, Kenta, Hachiya Shimomura, Maya, Shin, Jaehyuck, Shirinkin, Sergey, Shou, Qiye, Sibiryak, Yury, Siddhanta, Sabyasachi, Siemiarczuk, Teodor, Silva, Tiago Fiorini da, Silvermyr, David Olle Rickard, Simantathammakul, Tawanchat, Simeonov, Radoslav, Singh, Balwan, Singh, Bhawani, Singh, Ranbir, Singh, Randhir, Singh, Ravindra, Singh, Sweta, Singh, Vivek, Singhal, Vikas, Sarkar - Sinha, Tinku, Sitar, Branislav, Sitta, Mario, Skaali, Toralf Bernhard, Skorodumovs, Georgijs, Slupecki, Maciej, Smirnov, Nikolai, Snellings, Raimond, Haugland Solheim, Emilie, Song, Jihye, Songmoolnak, Arnon, Sonnabend, Christian, Soramel, Francesca, Soto-hernandez, Analyce Bella, Spijkers, Rik, Sputowska, Iwona Anna, Staa, Joey, Stachel, Johanna, Stan, Ionel, Steffanic, Patrick John, Stiefelmaier, Stephan, Stocco, Diego, Storehaug, Ida, Stratmann, Peter, Strazzi, Sofia, Pliatskas Stylianidis, Christos, Suaide, Alexandre Alarcon do Passo, Suire, Christophe Pierre, Sukhanov, Mikhail, Šuljić, Miljenko, Sultanov, Rishat, Sumberia, Vikash, Sumowidagdo, Suharyo, Swain, Sagarika, Szarka, Imrich, Szymkowski, Maciej, Taghavi, Seyed Farid, Taillepied, Guillaume, Takahashi, Jun, Tambave, Ganesh Jagannath, Tang, Siyu, Tang, Zebo, Tapia Takaki, Jesus Daniel, Tapus, Nicolae, Tarasovicova, Lucia Anna, Tarzila, Madalina-Gabriela, Tassielli, Giovanni Francesco, Tauro, Arturo, Tejeda Muñoz, Guillermo, Telesca, Adriana, Terlizzi, Livia, Terrevoli, Cristina, Thakur, Sanchari, Thomas, Deepa, Tikhonov, Anatoly, Timmins, Anthony Robert, Tkacik, Milan, Tkacik, Tomas, Toia, Alberica, Tokumoto, Ryoka, Topilskaya, Nataliya, Toppi, Marco, Torales Acosta, Fernando, Tork, Theraa M.A., Torres Ramos, Arianna Grisel, Trifiro, Antonio, Triolo, Andrea Sofia, Tripathy, Sushanta, Tripathy, Tulika, Trogolo, Stefano, Trubnikov, Victor, Trzaska, Wladyslaw Henryk, Trzcinski, Tomasz Piotr, Tumkin, Alexandr, Turrisi, Rosario, Tveter, Trine Spedstad, Ullaland, Kjetil, Ulukutlu, Berkin, Uras, Antonio, Urioni, Marta, Usai, Gianluca, Vala, Martin, Valle, Nicolò, Doremalen, Lennart Vincent Rogier van, Leeuwen, Marco van, Van Veen, Casper Arie, Weelden, Roelof Jan Gijs van, Vyvre, Pierre vande, Varga, Dezsö, Varga, Zoltán, Vasileiou, Maria, Vasiliev, Andrey, Vazquez Doce, Oton, Vazquez Rueda, Omar, Vechernin, Vladimir, Vercellin, Ermanno, Vergara Limon, Sergio, Vermunt, Lucas Anne, Vértesi, Róbert, Verweij, Marta, Vicković, Linda, Vilakazi, Zabulon, Villalobos Baillie, Orlando, Villani, Anna, Vino, Gioacchino, Vinogradov, Alexander, Virgili, Tiziano, Virta, Maxim Mikael Olavi, Vislavicius, Vytautas, Vodopyanov, Alexander, Völkel, Benedikt, Volkl, Martin Andreas, Voloshin, Kirill, Voloshin, Sergei, Volpe, Giacomo, Haller, Barthélémy von, Vorobyev, Ivan, Vozniuk, Nikita, Vrlakova, Janka, Wang, Chunzheng, Wang, Dongfang, Wang, Yuanzhe, Wegrzynek, Adam Tadeusz, Weiglhofer, Felix Thomas, Wenzel, Sandro Christian, Wessels, Johannes P., Wiechula, Jens, Wikne, Jon, Wilk, Grzegorz Andrzej, Wilkinson, Jeremy John, Willems, Guido Alexander, Windelband, Bernd Stefan, Winn, Michael, Wright, Josephina Rae, Wu, Wenya, Wu, Yitao, Xu, Ran, Yadav, Ankur, Yadav, Arun Kumar, Yalcin Kuzu, Serpil, Yamaguchi, Yorito, Yang, Shiming, Yano, Satoshi, Yin, Zhongbao, Yoo, In-Kwon, Yoon, Jin Hee, Yuan, Shiming, Yüncü, Alperen, Zaccolo, Valentina, Zampolli, Chiara, Zanone, Federica, Zardoshti, Nima, Zarochentsev, Andrey, Závada, Petr, Zavyalov, Nikolay, Zhalov, Mikhail, Zhang, Biao, Zhang, Liuyao, Zhang, Song, Zhang, Xiaoming, Zhang, Yifei, Zhang, Zhen, Zhao, Mingrui, Zherebchevskii, Vladimir, Yu, Zhi, Zhou, Daicui, Zhou, You, Zhu, Jianhui, Zhu, Ya, Zugravel, Stefan Cristi, Zurlo, Nicola, Acharya, Shreyasi, Adamová, Dagmar, Adler, Alexander, Aglieri Rinella, Gianluca, Agnello, Michelangelo, Agrawal, Neelima, Ahammed, Zubayer, Ahmad, Shakeel, Ahn, Sang Un, Ahuja, Ishaan, Akindinov, Alexander, Al-Turany, Mohammad, Aleksandrov, Dmitry, Alessandro, Bruno, Alfanda, Haidar Mas’ud, Alfaro Molina, Jose Ruben, Ali, Bushra, Alici, Andrea, Alizadehvandchali, Negin, Alkin, Anton, Alme, Johan, Alocco, Giacomo, Alt, Torsten, Altsybeev, Igor, Alvarado Garcia, Jesús Ricardo, Anaam, Mustafa Naji, Andrei, Cristian, Andronic, Anton, Anguelov, Venelin, Antinori, Federico, Antonioli, Pietro, Apadula, Nicole, Aphecetche, Laurent Bernard, Appelshäuser, Harald, Arata, Carolina, Arcelli, Silvia, Aresti, Mauro, Arnaldi, Roberta, Arneiro, Jhoao Gabriel Martins Campos Almeida, Arsene, Ionut Cristian, Arslandok, Mesut, Augustinus, Andre, Averbeck, Ralf Peter, Azmi, Mohd Danish, Badalà, Angela, Bae, Joonsuk, Baek, Yong Wook, Bai, Xiaozhi, Bailhache, Raphaëlle, Bailung, Yoshini, Balbino, Alessandro, Baldisseri, Alberto, Balis, Bartosz, Banerjee, Debjani, Banoo, Zarina, Barbera, Roberto, Barile, Francesco, Barioglio, Luca, Barlou, Maria, Barnaföldi, Gergely Gábor, Barnby, Lee Stuart, Ramillien Barret, Valerie, Barreto De Oliveira Campos, Leonardo, Bartels, Clara, Barth, Klaus, Bartsch, Esther, Bastid, Nicole, Basu, Sumit, Batigne, Guillaume, Battistini, Daniel, Batyunya, Boris, Bauri, Dibakar, Bazo Alba, José Luis, Bearden, Ian Gardner, Beattie, Caitlin, Becht, Pascal, Behera, Debadatta, Belikov, Iouri, Bell Hechavarria, Ailec de la Caridad, Bellini, Francesca, Bellwied, Rene, Belokurova, Svetlana, Belyaev, Vladimir, Bencédi, Gyula, Beolè, Stefania, Berdnikov, Yaroslav, Berdnikova, Anastasia, Bergmann, Luisa, Besoiu, Mihaela Gabriela, Betev, Latchezar, Bhaduri, Partha Pratim, Bhasin, Anju, Bhat, Mohammad Asif, Bhattacharjee, Buddhadeb, Bianchi, Livio, Bianchi, Nicola, Bielčík, Jaroslav, Bielčíková, Jana, Biernat, Jacek, Bigot, Alexandre Patrick, Bilandzic, Ante, Biro, Gabor, Biswas, Saikat, Bize, Nicolas Luc, Blair, Justin Thomas, Blau, Dmitry S., Blidaru, Mihail-Bogdan, Bluhme, Nora, Blume, Christoph, Boca, Gianluigi, Bock, Friederike, Bodova, Tea, Bogdanov, Alexey A., Boi, Stefano, Bok, Jeongsu, Boldizsar, Laszlo, Bombara, Marek, Bond, Peter Matthew, Bonomi, Germano, Borel, Herve, Borissov, Alexander, Borquez Carcamo, Andres Gerardo, Bossi, Hannah, Botta, Elena, El Mard Bouziani, Youssef, Bratrud, Lars, Braun-Munzinger, Peter, Bregant, Marco, Broz, Michal, Bruno, Giuseppe Eugenio, Buckland, Matthew Daniel, Budnikov, Dmitry, Büsching, Henner, Bufalino, Stefania, Bühler, Paul, Buthelezi, Edith Zinhle, Bylinkin, Alexander, Bysiak, Sebastian Adam, Cai, Mengke, Caines, Helen Louise, Caliva, Alberto, Calvo Villar, Ernesto, Mejia Camacho, Juan Manuel, Camerini, Paolo, Canedo, Fabio de Moraes Canedo, Weyhmiller, Sierra Lisa, Carabas, Mihai, Amatriain Carballo, Aitor, Carnesecchi, Francesca, Caron, Robin Albert Andre, Abranches De Carvalho, Leopoldo, Castillo Castellanos, Javier Ernesto, Catalano, Fabio, Ceballos Sanchez, Cesar, Chakaberia, Irakli, Chakraborty, Pritam, Chandra, Sinjini, Chapeland, Sylvain, Chartier, Marielle, Chattopadhyay, Subhasis, Chattopadhyay, Sukalyan, Cheng, Tiantian, Cheshkov, Cvetan Valeriev, Cheynis, Brigitte, Chibante Barroso, Vasco Miguel, Chinellato, David Dobrigkeit, Chizzali, Emma Sophia, Cho, Jaeyoon, Cho, Soyeon, Chochula, Peter, Christakoglou, Panagiotis, Christensen, Christian Holm, Christiansen, Peter L., Chujo, Tatsuya, Ciacco, Mario, Cicalò, Corrado, Cindolo, Federico, Ciupek, Michael Rudolf, Clai, Giulia, Colamaria, Fabio Filippo, Colburn, Jonathan Samuel, Colella, Domenico, Colocci, Manuel, Concas, Matteo, Conesa Balbastre, Gustavo, Conesa Del Valle, Zaida, Contin, Giacomo, Contreras Nuno, Jesus Guillermo, Coquet, Maurice Louis, Cormier, Thomas Michael, Cortese, Pietro, Cosentino, Mauro Rogerio, Costa, Filippo, Costanza, Susanna, Cot, Corentin, Crkovská, Jana, Crochet, Philippe, Cruz Torres, Reynier, Cui, Pengyao, Dainese, Andrea, Danisch, Meike Charlotte, Danu, Andrea, Das, Prottay, Das, Prottoy, Das, Supriya, Dash, Archita Rani, Dash, Sadhana, De Caro, Annalisa, De Cataldo, Giacinto, Cuveland, Jan de, De Falco, Alessandro, De Gruttola, Daniele, De Marco, Nora, De Martin, Chiara, De Pasquale, Salvatore, Deb, Rohaan, Deb, Suman, Debski, Roman Jan, Deja, Kamil Rafal, Del Grande, Raffaele, Dello Stritto, Luigi, Deng, Wenjing, Dhankher, Preeti, Di Bari, Domenico, Di Mauro, Antonio, Diab, Batoul, Arteche Diaz, Raul, Dietel, Thomas, Ding, Yanchun, Divià, Roberto, Dixit, Dhruv Utpalkumar, Djuvsland, Øystein, Dmitrieva, Uliana, Dobrin, Alexandru Florin, Donigus, Benjamin, Dubinski, Jan Michal, Dubla, Andrea, Dudi, Sandeep, Dupieux, Pascal, Durkac, Martin, Dzalaiova, Natalia, Eder, Tabea Maria, Ehlers, Raymond James, III, Eisenhut, Florian, Elia, Domenico, Erazmus, Barbara Ewa, Ercolessi, Francesca, Erhardt, Filip, Ersdal, Magnus Rentsch, Espagnon, Bruno, Eulisse, Giulio, Evans, David, Evdokimov, Sergey, Fabbietti, Laura, Faggin, Mattia, Faivre, Julien, Fan, Feng, Fan, Wenqing, Fantoni, Alessandra, Fasel, Markus, Fecchio, Pietro, Feliciello, Alessandro, Feofilov, Grigori A., Fernández Téllez, Arturo, Ferrandi De Oliveira, Lucas, Bertran Ferrer, Marta, Ferrero, Andrea, Ferrero, Chiara, Ferretti, Alessandro, Feuillard, Victor Jose Gaston, Filova, Vendulka, Finogeev, Dmitry, Fionda, Fiorella Maria Celeste, Flor, Fernando Antonio, Flores, Amanda Nicole, Foertsch, Siegfried Valentin, Fokin, Ilya, Fokin, Sergey, Fragiacomo, Enrico, Frajna, Eszter, Fuchs, Ulrich, Funicello, Nicola, Furget, Christophe, Furs, Artur, Fusayasu, Takahiro, Gaardhoeje, Jens Joergen, Gagliardi, Martino, Gago Medina, Alberto Martín, Duarte Galvan, Carlos, Gangadharan, Dhevan Raja, Ganoti, Paraskevi, Garabatos Cuadrado, Jose Maria, García Chávez, Tonatiuh, Garcia-Solis, Edmundo Javier, Gargiulo, Corrado, Demmich, Katharina, Gasik, Piotr, Gautam, Amrit, Ducati, Maria Beatriz de Leone Gay, Germain, Marie, Ghimouz, Abderrahmane, Ghosh, Chandrasekhar, Giacalone, Marco, Giubellino, Paolo, Giubilato, Piero, Glaenzer, Aude Marie Camille, Glässel, Peter, Glimos, Ewa, Goh, Daniel Jia Qin, Gonzalez Sebastian, Victor Luis, Gorgon, Marek Boguslaw, Gotovac, Sven, Grabski, Varlen, Graczykowski, Łukasz Kamil, Grecka, Ekaterina, Grelli, Alessandro, Grigoraș, Costin, Grigoryev, Vladislav, Grigoryan, Smbat, Grosa, Fabrizio, Große-Oetringhaus, Jan Fiete, Grosso, Raffaele, Grund, David, Garcia Guardiano, Gabriel, Guernane, Rachid, Guilbaud, Maxime Rene Joseph, Gulbrandsen, Kristjan Herlache, Gündem, Tuba, Gunji, Taku, Guo, Wenda, Gupta, Anik, Gupta, Ramni, Gupta, Rashi, Gwizdziel, Katarzyna, Gyulai, Laszlo, Haake, Rüdiger, Habib, Michael Karim, Hadjidakis, Cynthia Marie, Haider, Fakhar Ul, Hamagaki, Hideki, Hamdi, Abdennacer, Hamid, Mohammed, Han, Younghoon, Hannigan, Ryan, Hansen, Joachim, Haque, Md Rihan, Harris, John William, Harton, Austin Vincent, Hassan, Hadi, Hatzifotiadou, Despina, Hauer, Philip, Havener, Laura Brittany, Heckel, Stefan Thomas, Hellbär, Ernst, Helstrup, Håvard, Hemmer, Marvin, Herman, Tomáš, Herrera Corral, Gerardo Antonio, Herrmann, Florian, Herrmann, Sarah Nina Edwige, Hetland, Kristin Fanebust, Heybeck, Benedict, Hillemanns, Hartmut, Hippolyte, Boris, Hoffmann, Felix Willi, Hofman, Bas, Hohlweger, Bernhard, Hong, Geunhee, Horst, Maximilian, Horzyk, Adrian, Hou, Yongzhen, Hristov, Peter, Hughes, Charles, Huhn, Patrick, Huhta, Laura Maria, Humanic, Thomas J., Hutson, Alek, Hutter, Dirk, Ilkaev, Radiy, Ilyas, Hira, Inaba, Motoi, Innocenti, Gian Michele, Ippolitov, Mikhail, Isakov, Artem, Isidori, Tommaso, Islam, Md Samsul, Ivanov, Marian, Ivanov, Vladimir, Jablonski, Miroslaw, Jacak, Barbara, Jacazio, Nicolò, Jacobs, Peter Martin, Jadlovska, Slavka, Jadlovsky, Jan, Jaelani, Syaefudin, Jahnke, Cristiane, Jakubowska, Monika Joanna, Janik, Malgorzata Anna, Janson, Thomas, Jercic, Marko, Jia, Shihai, Paz Jimenez, Alom Antonio, Jonas, Florian, Jowett, John M., Jung, Jerome, Jung, Michael, Junique, Antoine Jean-Simon, Jusko, Anton, Karwowska, Maja Jadwiga, Kaewjai, Jetnipit, Kalinak, Peter, Kalteyer, Annalena Sophie, Kalweit, Alexander Philipp, Kaplin, Vladimir, Karasu Uysal, Ayben, Karatović, David, Karavichev, Oleg V., Karavicheva, Tatiana L., Karczmarczyk, Przemyslaw, Karpechev, Evgeny, Kebschull, Udo, Keidel, Ralf, Keijdener, Darius, Keil, Markus, Ketzer, Bernhard, Khade, Swapnesh Santosh, Khan, Ahsan Mehmood, Khan, Shaista, Khanzadeev, Alexei, Kharlov, Yury, Khatun, Anisa, Khuntia, Arvind, Kidson, Miles Brower, Kileng, Bjarte, Kim, Beomkyu, Kim, Chong, Kim, Dong Jo, Kim, Eun Joo, Kim, Jaehyun, Kim, Jinsook, Junlee, Kim, Kim, Minjung, Kim, Se Yong, Kim, Taejun, Kimura, Kento, Kirsch, Stefan, Kisel, Ivan, Kiselev, Sergej N., Kisiel, Adam Ryszard, Kitowski, Jacek Pawel, Klay, Jennifer Lynn, Klein, Jochen, Klein, Spencer Robert, Klein-Bösing, Christian, Kleiner, Matthias, Klemenz, Thomas, Kluge, Alexander, Knospe, Anders Garritt, Kobdaj, Chinorat, Kollegger, Thorsten, Kondratyev, Andrey, Kondratyeva, Natalia, Kondratyuk, Evgeny, König, Joshua Leon, Königstorfer, Stephan Alexander, Konopka, Piotr Jan, Kornakov Van, Georgui, Korwieser, Maximilian, Koryciak, Sebastian Dominik, Kotliarov, Artem, Kovalenko, Vladimir, Kowalski, Marek, Kozhuharov, Venelin Valeriev, Králik, Ivan, Kravčáková, Adela, Krcal, Lubos, Krivda, Marian, Krizek, Filip, Krizkova Gajdosova, Katarina, Kroesen, Martin, Krüger, Mario, Krupová, Diana Maria, Kryshen, Evgeny, Kucera, Vit, Kuhn, Christian Claude, Kuijer, Paulus Gerardus, Kumaoka, Takuya, Kumar, Deekshit, Kumar, Lokesh, Kumar, Navneet, Kumar, Shyam, Kundu, Sourav, Kurashvili, Podist, Kurepin, Alexander, Kurepin, Alexey B., Kuryakin, Alexey, Kushpil, Svetlana, Kvapil, Jakub, Kweon, Min Jung, Kwon, Jiyeon, Kwon, Youngil, La Pointe, Sarah Louise, La Rocca, Paola, Lakrathok, Anantachai, Lamanna, Massimo, Langoy, Rune, Larionov, Pavel, Laudi, Elisa, Lautner, Lukas, Lavicka, Roman, Lazareva, Tatiana V., Lea, Ramona, Lee, Hyungjun, Legrand, Iosif-charles, Legras, Gauthier, Lehrbach, Johannes, Lelek, Tomasz Marcin, Lemmon, Roy Crawford, Leon Monzon, Ildefonso, Lesch, Marcel Markus, Lesser, Ezra Douglas, Lévai, Peter, Li, Xiaomei, Li, Xing Long, Lien, Jørgen André, Lietava, Roman, Likmeta, Iris, Lim, Bong-Hwi, Lim, Sanghoon, Lindenstruth, Volker, Lindner, Amelia, Lippmann, Christian, Liu, Alwina Ruixin, Liu, Donghai, Liu, Jian, Mckibben Lofnes, Ingrid, Loizides, Constantinos, Lokos, Sandor, Lomker, Johanna, Lončar, Petra, López, Jorge Andres, Lopez, Xavier Bernard, López Torres, Ernesto, Lu, Pengzhong, Luhder, Jens Robert, Lunardon, Marcello, Luparello, Grazia, Ma, Yu-Gang, Maevskaya, Alla, Mager, Magnus, Maire, Antonin, Makariev, Martin Vasilev, Malaev, Mikhail, Malfattore, Giovanni, Malik, Nasir Mehdi, Malik, Qasim Waheed, Malik, Salman Khurshid, Malinina, Liudmila, Mal Kevich, Dmitry, Mallick, Dukhishyam, Mallick, Neelkamal, Mandaglio, Giuseppe, Mandal, Sushobhan Kumar, Manko, Vladislav, Manso, Franck, Manzari, Vito, Mao, Yaxian, Margagliotti, Giacomo Vito, Margotti, Anselmo, Marin, Ana Maria, Markert, Christina, Martinengo, Paolo, Martinez, Jacobb Lee, Martínez Hernández, Mario Iván, García Martínez, Ginés, Martins Palhares, Maria Paula, Masciocchi, Silvia, Masera, Massimo, Masoni, Alberto, Massacrier, Laure Marie, Mastroserio, Annalisa, Matonoha, Oliver, Matuoka, Paula Fernanda Toledo, Matyja, Adam Tomasz, Mayer, Christoph, Lafuente Mazuecos, Antonio, Mazzaschi, Francesco, Mazzilli, Marianna, Mdhluli, Joyful Elma, Mechler, Adrian Florin, Melikyan, Yury, Menchaca-rocha, Arturo Alejandro, Meninno, Elisa, Sasikumar Menon, Anjaly, Meres, Michal, Mhlanga, Sibaliso, Miake, Yasuo, Micheletti, Luca, Migliorin, Lucrezia Camilla, Mihaylov, Dimitar Lubomirov, Mikhaylov, Konstantin, Mishra, Aditya Nath, Czeslaw Miskowiec, Dariusz, Modak, Abhi, Mohanty, Auro Prasad, Mohanty, Bedangadas, Khan, Mohammed Mohisin, Molander, Mikael Andreas, Moravcova, Zuzana, Mordasini, Cindy, Moreira De Godoy Willems, Denise Aparecida, Morozov, Igor, Morsch, Andreas, Mrnjavac, Teo, Muccifora, Valeria, Muhuri, Sanjib, Mulligan, James Declan, Mulliri, Alice, Gameiro Munhoz, Marcelo, Munzer, Robert Helmut, Murakami, Hikari, Murray, Sean, Musa, Luciano, Musinsky, Jan, Myrcha, Julian Wojciech, Naik, Bharati, Nambrath, Anjali Ila, Nandi, Basanta Kumar, Nania, Rosario, Nappi, Eugenio, Nassirpour, Adrian Fereydon, Nath, Abhishek, Nattrass, Christine, Naydenov, Momchil Nikolaev, Neagu, Alexandra, Negru, Adrian-eduard, Nellen, Lukas, Nesbo, Simon Voigt, Nešković, Gvozden, Nesterov, Dmitrii, Nielsen, Borge Svane, Nielsen, Emil Gorm, Nikolaev, Sergey, Nikulin, Sergey, Nikulin, Vladimir, Noferini, Francesco, Noh, Seoyoung, Nomokonov, Petr V., Norman, Jaime, Novitzky, Norbert, Nowakowski, Piotr, Nyanin, Alexander, Nystrand, Joakim Ingemar, Ogino, Masanori, Ohlson, Alice, Okorokov, Vitaly A., Oleniacz, Janusz, Silva, Antonio Carlos Oliveira da, Oliver, Michael Henry, Önnerstad, Anna, Oppedisano, Chiara, Ortiz Velasquez, Antonio, Otwinowski, Jacek Tomasz, Oya, Motomi, Oyama, Ken, Pachmayer, Yvonne C., Padhan, Sonali, Pagano, Davide, Paic, Guy, Paisano Guzman, Sergio, Palasciano, Antonio, Panebianco, Stefano Matthias, Park, Hanseo, Park, Hyebin, Park, Jonghan, Parkkila, Jasper Elias, Patra, Rajendra Nath, Paul, Biswarup, Pei, Hua, Peitzmann, Thomas, Peng, Xinye, Pennisi, Michele, Pereira, Luis Gustavo, Peresunko, Dmitry Yurevich, Mesa Perez, Guillermo, Perrin, Sébastien, Pestov, Yury N., Petráček, Vojtech, Petrov, Vitalii, Petrovici, Mihai A., Pezzi, Rafael Peretti, Piano, Stefano, Pikna, Miroslav, Pillot, Philippe, Pinazza, Ombretta, Pinsky, Lawrence, Pinto, Chiara, Pisano, Silvia, Płoskoń, Mateusz, Planinic, Mirko, Pliquett, Fabian, Poghosyan, Martin G., Polishchuk, Boris, Politano, Stefano, Poljak, Nikola, Pop, Amalia, Porteboeuf, Sarah Julie, Pozdniakov, Valerii, Yoval Pozos, Irandheny, Pradhan, Kshitish Kumar, Prasad, Sidharth Kumar, Prasad, Suraj, Preghenella, Roberto, Prino, Francesco, Pruneau, Claude A., Pshenichnov, Igor A., Puccio, Maximiliano, Pucillo, Sara, Pugelova, Zuzana, Qiu, Shi, Quaglia, Luca, Quishpe Quishpe, Raquel Estefania, Ragoni, Simone, Rakotozafindrabe, Andry Malala, Ramello, Luciano, Rami, Fouad, Rancien, Thibaut Albert, Rasa, Marika, Räsänen, Sami Sakari, Rath, Rutuparna, Rauch, Max Philip, Ravasenga, Ivan, Read, Kenneth Francis, Reckziegel, Christian, Redelbach, Andreas Ralph, Redlich, Krzysztof, Reetz, Carolina Anna, Regules Medel, Hector David, Rehman, Attiq ur, Reidt, Felix, Reme-Ness, Haakon André, Jakubcinova, Zuzana, Reygers, Klaus, Riabov, Andrei, Riabov, Viktor, Ricci, Riccardo, Richter, Matthias Rudolph, Riedel, Anton Albert, Riegler, Werner, Ristea, Cătălin-Lucian, Rodrı́guez Cahuantzi, Mario, Rodríguez Ramírez, Saúl Aníbal, Røed, Ketil, Rogalev, Roman, Rogochaya, Elena, Rogoschinski, Tim Sebastian, Rohr, David, Röhrich, Dieter, Fierro Rojas, Pablo, Rojas Torres, Solangel, Rokita, Przemyslaw Stefan, Romanenko, Gleb, Ronchetti, Federico, Rosano, Antonina, Dominguez Rosas, Edgar, Rosłon, Krystian, Rossi, Andrea, Roy, Ankhi, Roy, Subhadeep, Rubini, Nicola, Ruggiano, Daniela, Rui, Rinaldo, Russek, Pawel Grzegorz, Russo, Roberto, Rustamov, Anar, Ryabinkin, Evgeny, Ryabov, Yury, Rybicki, Andrzej Krzysztof, Rytkönen, Heidi Maria, Rzęsa, Wioleta, Saarimäki, Oskari Antti Matti, Sadek, Rita, Sadhu, Samrangy, Sadovskiy, Sergey, Sætre, Jon-are, Šafařík, Karel, Saha, Pallabi, Saha, Sumit Kumar, Saha, Swati, Sahoo, Baidyanath, Sahoo, Bhagyarathi, Sahoo, Raghunath, Sahoo, Sarita, Sahu, Dushmanta, Sahu, Pradip Kumar, Saini, Jogender, Tropp, Klaudia, Sakai, Shingo, Panikkassery Salvan, Malavika, Sambyal, Sanjeev Singh, Sanna, Isabella, Saramela, Thiago Badaró, Sarkar, Debojit, Sarkar, Nachiketa, Sarma, Pranjal, Sarritzu, Valerio, Mantovani Sarti, Valentina, Sas, Mike Henry Petrus, Schambach, Johann Joachim, Scheid, Horst Sebastian, Schiaua, Claudiu Cornel, Schicker, Rainer, Schmah, Alexander, Schmidt, Christian Joachim, Schmidt, Hans Rudolf, Schmidt, Marten Ole, Schmidt, Martin, Schmidt, Nicolas, Schmier, Austin Robert, Schotter, Romain, Wilhelmi, Alexander, Schukraft, Jürgen, Schwarz, Kilian Eberhard, Schweda, Kai Oliver, Scioli, Gilda, Scomparin, Enrico, Seger, Janet Elizabeth, Sekiguchi, Yuko, Sekihata, Daiki, Selyuzhenkov, Ilya, Senyukov, Serhiy, Seo, Jin Joo, Serebryakov, Dmitry, Šerkšnytė, Laura, Sevcenco, Adrian, Shaba, Tebogo Joyce, Shabetai, Alexandre, Shahoyan, Ruben, Shangaraev, Artem, Sharma, Anjali, Sharma, Binti, Sharma, Deependra, Sharma, Himanshu, Sharma, Meenakshi, Sharma, Samarth, Sharma, Sheetal, Sharma, Upasana, Shatat, Afnan, Sheibani, Oveis, Shigaki, Kenta, Hachiya Shimomura, Maya, Shin, Jaehyuck, Shirinkin, Sergey, Shou, Qiye, Sibiryak, Yury, Siddhanta, Sabyasachi, Siemiarczuk, Teodor, Silva, Tiago Fiorini da, Silvermyr, David Olle Rickard, Simantathammakul, Tawanchat, Simeonov, Radoslav, Singh, Balwan, Singh, Bhawani, Singh, Ranbir, Singh, Randhir, Singh, Ravindra, Singh, Sweta, Singh, Vivek, Singhal, Vikas, Sarkar - Sinha, Tinku, Sitar, Branislav, Sitta, Mario, Skaali, Toralf Bernhard, Skorodumovs, Georgijs, Slupecki, Maciej, Smirnov, Nikolai, Snellings, Raimond, Haugland Solheim, Emilie, Song, Jihye, Songmoolnak, Arnon, Sonnabend, Christian, Soramel, Francesca, Soto-hernandez, Analyce Bella, Spijkers, Rik, Sputowska, Iwona Anna, Staa, Joey, Stachel, Johanna, Stan, Ionel, Steffanic, Patrick John, Stiefelmaier, Stephan, Stocco, Diego, Storehaug, Ida, Stratmann, Peter, Strazzi, Sofia, Pliatskas Stylianidis, Christos, Suaide, Alexandre Alarcon do Passo, Suire, Christophe Pierre, Sukhanov, Mikhail, Šuljić, Miljenko, Sultanov, Rishat, Sumberia, Vikash, Sumowidagdo, Suharyo, Swain, Sagarika, Szarka, Imrich, Szymkowski, Maciej, Taghavi, Seyed Farid, Taillepied, Guillaume, Takahashi, Jun, Tambave, Ganesh Jagannath, Tang, Siyu, Tang, Zebo, Tapia Takaki, Jesus Daniel, Tapus, Nicolae, Tarasovicova, Lucia Anna, Tarzila, Madalina-Gabriela, Tassielli, Giovanni Francesco, Tauro, Arturo, Tejeda Muñoz, Guillermo, Telesca, Adriana, Terlizzi, Livia, Terrevoli, Cristina, Thakur, Sanchari, Thomas, Deepa, Tikhonov, Anatoly, Timmins, Anthony Robert, Tkacik, Milan, Tkacik, Tomas, Toia, Alberica, Tokumoto, Ryoka, Topilskaya, Nataliya, Toppi, Marco, Torales Acosta, Fernando, Tork, Theraa M.A., Torres Ramos, Arianna Grisel, Trifiro, Antonio, Triolo, Andrea Sofia, Tripathy, Sushanta, Tripathy, Tulika, Trogolo, Stefano, Trubnikov, Victor, Trzaska, Wladyslaw Henryk, Trzcinski, Tomasz Piotr, Tumkin, Alexandr, Turrisi, Rosario, Tveter, Trine Spedstad, Ullaland, Kjetil, Ulukutlu, Berkin, Uras, Antonio, Urioni, Marta, Usai, Gianluca, Vala, Martin, Valle, Nicolò, Doremalen, Lennart Vincent Rogier van, Leeuwen, Marco van, Van Veen, Casper Arie, Weelden, Roelof Jan Gijs van, Vyvre, Pierre vande, Varga, Dezsö, Varga, Zoltán, Vasileiou, Maria, Vasiliev, Andrey, Vazquez Doce, Oton, Vazquez Rueda, Omar, Vechernin, Vladimir, Vercellin, Ermanno, Vergara Limon, Sergio, Vermunt, Lucas Anne, Vértesi, Róbert, Verweij, Marta, Vicković, Linda, Vilakazi, Zabulon, Villalobos Baillie, Orlando, Villani, Anna, Vino, Gioacchino, Vinogradov, Alexander, Virgili, Tiziano, Virta, Maxim Mikael Olavi, Vislavicius, Vytautas, Vodopyanov, Alexander, Völkel, Benedikt, Volkl, Martin Andreas, Voloshin, Kirill, Voloshin, Sergei, Volpe, Giacomo, Haller, Barthélémy von, Vorobyev, Ivan, Vozniuk, Nikita, Vrlakova, Janka, Wang, Chunzheng, Wang, Dongfang, Wang, Yuanzhe, Wegrzynek, Adam Tadeusz, Weiglhofer, Felix Thomas, Wenzel, Sandro Christian, Wessels, Johannes P., Wiechula, Jens, Wikne, Jon, Wilk, Grzegorz Andrzej, Wilkinson, Jeremy John, Willems, Guido Alexander, Windelband, Bernd Stefan, Winn, Michael, Wright, Josephina Rae, Wu, Wenya, Wu, Yitao, Xu, Ran, Yadav, Ankur, Yadav, Arun Kumar, Yalcin Kuzu, Serpil, Yamaguchi, Yorito, Yang, Shiming, Yano, Satoshi, Yin, Zhongbao, Yoo, In-Kwon, Yoon, Jin Hee, Yuan, Shiming, Yüncü, Alperen, Zaccolo, Valentina, Zampolli, Chiara, Zanone, Federica, Zardoshti, Nima, Zarochentsev, Andrey, Závada, Petr, Zavyalov, Nikolay, Zhalov, Mikhail, Zhang, Biao, Zhang, Liuyao, Zhang, Song, Zhang, Xiaoming, Zhang, Yifei, Zhang, Zhen, Zhao, Mingrui, Zherebchevskii, Vladimir, Yu, Zhi, Zhou, Daicui, Zhou, You, Zhu, Jianhui, Zhu, Ya, Zugravel, Stefan Cristi, and Zurlo, Nicola
Abstract: The ALICE Collaboration reports a differential measurement of inclusive jet suppression using pp and Pb−Pb collision data at a center-of-mass energy per nucleon-nucleon collision sNN−−−√=5.02 TeV. Charged-particle jets are reconstructed using the anti-kT algorithm with resolution parameters R= 0.2, 0.3, 0.4, 0.5, and 0.6 in pp collisions and R= 0.2, 0.4, 0.6 in central (0−10%), semi-central (30−50%), and peripheral (60−80%) Pb−Pb collisions. A novel approach based on machine learning is employed to mitigate the influence of jet background. This enables measurements of inclusive jet suppression in new regions of phase space, including down to the lowest jet pT≥40 GeV/c at R=0.6 in central Pb−Pb collisions. This is an important step for discriminating different models of jet quenching in the quark-gluon plasma. The transverse momentum spectra, nuclear modification factors, derived cross section, and nuclear modification factor ratios for different jet resolution parameters of charged-particle jets are presented and compared to model predictions. A mild dependence of the nuclear modification factor ratios on collision centrality and resolution parameter is observed. The results are compared to a variety of jet-quenching models with varying levels of agreement.
Published: 2024

16. Probing the Chiral Magnetic Wave with charge-dependent flow measurements in Pb-Pb collisions at the LHC

Author: Acharya, Shreyasi, Adamová, Dagmar, Aglieri Rinella, Gianluca, Agnello, Michelangelo, Agrawal, Neelima, Ahammed, Zubayer, Ahmad, Shakeel, Ahn, Sang Un, Ahuja, Ishaan, Akindinov, Alexander, Al-Turany, Mohammad, Aleksandrov, Dmitry, Alessandro, Bruno, Alfanda, Haidar Mas’ud, Alfaro Molina, Jose Ruben, Ali, Bushra, Alici, Andrea, Alizadehvandchali, Negin, Alkin, Anton, Alme, Johan, Alocco, Giacomo, Alt, Torsten, Altamura, Anna Rita, Altsybeev, Igor, Alvarado Garcia, Jesús Ricardo, Anaam, Mustafa Naji, Andrei, Cristian, Andreou, Nicodemos, Andronic, Anton, Anguelov, Venelin, Antinori, Federico, Antonioli, Pietro, Apadula, Nicole, Aphecetche, Laurent Bernard, Appelshäuser, Harald, Arata, Carolina, Arcelli, Silvia, Aresti, Mauro, Arnaldi, Roberta, Arneiro, Jhoao Gabriel Martins Campos Almeida, Arsene, Ionut Cristian, Arslandok, Mesut, Augustinus, Andre, Averbeck, Ralf Peter, Azmi, Mohd Danish, Baba, Hitoshi, Badalà, Angela, Bae, Joonsuk, Baek, Yong Wook, Bai, Xiaozhi, Bailhache, Raphaëlle, Bailung, Yoshini, Balbino, Alessandro, Baldisseri, Alberto, Balis, Bartosz, Banerjee, Debjani, Banoo, Zarina, Barbera, Roberto, Barile, Francesco, Barioglio, Luca, Barlou, Maria, Barman, Banajit, Barnaföldi, Gergely Gábor, Barnby, Lee Stuart, Ramillien Barret, Valerie, Barreto De Oliveira Campos, Leonardo, Bartels, Clara, Barth, Klaus, Bartsch, Esther, Bastid, Nicole, Basu, Sumit, Batigne, Guillaume, Battistini, Daniel, Batyunya, Boris, Bauri, Dibakar, Bazo Alba, José Luis, Bearden, Ian Gardner, Beattie, Caitlin, Becht, Pascal, Behera, Debadatta, Belikov, Iouri, Bell Hechavarria, Ailec de la Caridad, Bellini, Francesca, Bellwied, Rene, Belokurova, Svetlana, Vasquez Beltran, Yael Antonio, Bencédi, Gyula, Beolè, Stefania, Berdnikov, Yaroslav, Berdnikova, Anastasia, Bergmann, Luisa, Besoiu, Mihaela Gabriela, Betev, Latchezar, Bhaduri, Partha Pratim, Bhasin, Anju, Bhat, Mohammad Asif, Bhattacharjee, Buddhadeb, Bianchi, Livio, Bianchi, Nicola, Bielčík, Jaroslav, Bielčíková, Jana, Biernat, Jacek, Bigot, Alexandre Patrick, Bilandzic, Ante, Biro, Gabor, Biswas, Saikat, Bize, Nicolas Luc, Blair, Justin Thomas, Blau, Dmitry S., Blidaru, Mihail-Bogdan, Bluhme, Nora, Blume, Christoph, Boca, Gianluigi, Bock, Friederike, Bodova, Tea, Bogdanov, Alexey A., Boi, Stefano, Bok, Jeongsu, Boldizsar, Laszlo, Bombara, Marek, Bond, Peter Matthew, Bonomi, Germano, Borel, Herve, Borissov, Alexander, Borquez Carcamo, Andres Gerardo, Bossi, Hannah, Botta, Elena, El Mard Bouziani, Youssef, Bratrud, Lars, Braun-Munzinger, Peter, Bregant, Marco, Broz, Michal, Bruno, Giuseppe Eugenio, Buckland, Matthew Daniel, Budnikov, Dmitry, Büsching, Henner, Bufalino, Stefania, Bühler, Paul, Burmasov, Nazar, Buthelezi, Edith Zinhle, Bylinkin, Alexander, Bysiak, Sebastian Adam, Cai, Mengke, Caines, Helen Louise, Caliva, Alberto, Calvo Villar, Ernesto, Mejia Camacho, Juan Manuel, Camerini, Paolo, Canedo, Fabio de Moraes Canedo, Cantway, S.L., Ducati, Maria Beatriz de Leone Gay, Kabus, Maja Jadwiga, Polichtchouk, Boris, Porteboeuf-Houssais, Sarah Julie, Rescakova, Zuzana, Røed, Ketil, Sajdakova, K., Schroter, Alexander, Weyhmiller, Sierra Lisa, Carabas, Mihai, Amatriain Carballo, Aitor, Carnesecchi, Francesca, Caron, Robin Albert Andre, Abranches De Carvalho, Leopoldo, Castillo Castellanos, Javier Ernesto, Catalano, Fabio, Ceballos Sanchez, Cesar, Chakaberia, Irakli, Chakraborty, Pritam, Chandra, Sinjini, Chapeland, Sylvain, Chartier, Marielle, Chattopadhyay, Subhasis, Chattopadhyay, Sukalyan, Cheng, Tiantian, Cheshkov, Cvetan Valeriev, Cheynis, Brigitte, Chibante Barroso, Vasco Miguel, Chinellato, David Dobrigkeit, Chizzali, Emma Sophia, Cho, Jaeyoon, Cho, Soyeon, Chochula, Peter, Choudhury, Dhrubajyoti, Christakoglou, Panagiotis, Christensen, Christian Holm, Christiansen, Peter L., Chujo, Tatsuya, Ciacco, Mario, Cicalò, Corrado, Cindolo, Federico, Ciupek, Michael Rudolf, Clai, Giulia, Colamaria, Fabio Filippo, Colburn, Jonathan Samuel, Colella, Domenico, Colocci, Manuel, Concas, Matteo, Conesa Balbastre, Gustavo, Conesa Del Valle, Zaida, Contin, Giacomo, Contreras Nuno, Jesus Guillermo, Coquet, Maurice Louis, Cortese, Pietro, Cosentino, Mauro Rogerio, Costa, Filippo, Costanza, Susanna, Cot, Corentin, Crkovská, Jana, Crochet, Philippe, Cruz Torres, Reynier, Cui, Pengyao, Dainese, Andrea, Danisch, Meike Charlotte, Danu, Andrea, Das, Prottay, Das, Prottoy, Das, Supriya, Dash, Archita Rani, Dash, Sadhana, De Caro, Annalisa, De Cataldo, Giacinto, Cuveland, Jan de, De Falco, Alessandro, De Gruttola, Daniele, De Marco, Nora, De Martin, Chiara, De Pasquale, Salvatore, Deb, Rohaan, Del Grande, Raffaele, Dello Stritto, Luigi, Deng, Wenjing, Dhankher, Preeti, Di Bari, Domenico, Di Mauro, Antonio, Diab, Batoul, Arteche Diaz, Raul, Dietel, Thomas, Ding, Yanchun, Ditzel, Janik, Divià, Roberto, Dixit, Dhruv Utpalkumar, Djuvsland, Øystein, Dmitrieva, Uliana, Dobrin, Alexandru Florin, Donigus, Benjamin, Dubinski, Jan Michal, Dubla, Andrea, Dudi, Sandeep, Dupieux, Pascal, Durkac, Martin, Dzalaiova, Natalia, Eder, Tabea Maria, Ehlers, Raymond James, III, Eisenhut, Florian, Ejima, Ren, Elia, Domenico, Erazmus, Barbara Ewa, Ercolessi, Francesca, Espagnon, Bruno, Eulisse, Giulio, Evans, David, Evdokimov, Sergey, Fabbietti, Laura, Faggin, Mattia, Faivre, Julien, Fan, Feng, Fan, Wenqing, Fantoni, Alessandra, Fasel, Markus, Feliciello, Alessandro, Feofilov, Grigori A., Fernández Téllez, Arturo, Ferrandi De Oliveira, Lucas, Bertran Ferrer, Marta, Ferrero, Andrea, Ferrero, Chiara, Ferretti, Alessandro, Feuillard, Victor Jose Gaston, Filova, Vendulka, Finogeev, Dmitry, Fionda, Fiorella Maria Celeste, Flatland, Erlend, Flor, Fernando Antonio, Flores, Amanda Nicole, Foertsch, Siegfried Valentin, Fokin, Ilya, Fokin, Sergey, Fragiacomo, Enrico, Frajna, Eszter, Fuchs, Ulrich, Funicello, Nicola, Furget, Christophe, Furs, Artur, Fusayasu, Takahiro, Gaardhoeje, Jens Joergen, Gagliardi, Martino, Gago Medina, Alberto Martín, Gahlaut, Tanu, Duarte Galvan, Carlos, Gangadharan, Dhevan Raja, Ganoti, Paraskevi, Garabatos Cuadrado, Jose Maria, Tavira Garcia, Andrea, García Chávez, Tonatiuh, Garcia-Solis, Edmundo Javier, Gargiulo, Corrado, Gasik, Piotr, Gautam, Amrit, Germain, Marie, Ghimouz, Abderrahmane, Ghosh, Chandrasekhar, Giacalone, Marco, Gioachin, Giulia, Giubellino, Paolo, Giubilato, Piero, Glaenzer, Aude Marie Camille, Glässel, Peter, Glimos, Ewa, Goh, Daniel Jia Qin, Gonzalez Sebastian, Victor Luis, Gordeev, Pavel, Gorgon, Marek Boguslaw, Goswami, Kangkan, Gotovac, Sven, Grabski, Varlen, Graczykowski, Łukasz Kamil, Grecka, Ekaterina, Grelli, Alessandro, Grigoraș, Costin, Grigoryev, Vladislav, Grigoryan, Smbat, Grosa, Fabrizio, Große-Oetringhaus, Jan Fiete, Grosso, Raffaele, Grund, David, Grünwald, Nadine Alice, Garcia Guardiano, Gabriel, Guernane, Rachid, Guilbaud, Maxime Rene Joseph, Gulbrandsen, Kristjan Herlache, Gündem, Tuba, Gunji, Taku, Guo, Wenda, Gupta, Anik, Gupta, Ramni, Gupta, Rashi, Gwizdziel, Katarzyna, Gyulai, Laszlo, Hadjidakis, Cynthia Marie, Haider, Fakhar Ul, Haidlova, Sara, Hamagaki, Hideki, Hamdi, Abdennacer, Han, Younghoon, Hanley, Brian Gerald, Hannigan, Ryan, Hansen, Joachim, Haque, Md Rihan, Harris, John William, Harton, Austin Vincent, Hassan, Hadi, Hatzifotiadou, Despina, Hauer, Philip, Havener, Laura Brittany, Heckel, Stefan Thomas, Hellbär, Ernst, Helstrup, Håvard, Hemmer, Marvin, Herman, Tomáš, Herrera Corral, Gerardo Antonio, Herrmann, Florian, Herrmann, Sarah Nina Edwige, Hetland, Kristin Fanebust, Heybeck, Benedict, Hillemanns, Hartmut, Hippolyte, Boris, Hoffmann, Felix Willi, Hofman, Bas, Hong, Geunhee, Horst, Maximilian, Horzyk, Adrian, Hou, Yongzhen, Hristov, Peter, Hughes, Charles, Huhn, Patrick, Huhta, Laura Maria, Humanic, Thomas J., Hutson, Alek, Hutter, Dirk, Ilkaev, Radiy, Ilyas, Hira, Inaba, Motoi, Innocenti, Gian Michele, Ippolitov, Mikhail, Isakov, Artem, Isidori, Tommaso, Islam, Md Samsul, Ivanov, Marian, Ivanov, Vladimir, Iversen, Kaare Endrup, Jablonski, Miroslaw, Jacak, Barbara, Jacazio, Nicolò, Jacobs, Peter Martin, Jadlovska, Slavka, Jadlovsky, Jan, Jaelani, Syaefudin, Jahnke, Cristiane, Jakubowska, Monika Joanna, Janik, Malgorzata Anna, Janson, Thomas, Ji, Su-jeong, Jia, Shihai, Paz Jimenez, Alom Antonio, Jonas, Florian, Jones, Daniel Matthew, Jowett, John M., Jung, Jerome, Jung, Michael, Junique, Antoine Jean-Simon, Jusko, Anton, Karwowska, Maja Jadwiga, Kaewjai, Jetnipit, Kalinak, Peter, Kalteyer, Annalena Sophie, Kalweit, Alexander Philipp, Kaplin, Vladimir, Karasu Uysal, Ayben, Karatović, David, Karavichev, Oleg V., Karavicheva, Tatiana L., Karczmarczyk, Przemyslaw, Karpechev, Evgeny, Kebschull, Udo, Keidel, Ralf, Keijdener, D.L. D., Keil, Markus, Ketzer, Bernhard, Khade, Swapnesh Santosh, Khan, Ahsan Mehmood, Khan, Shaista, Khanzadeev, Alexei, Kharlov, Yury, Khatun, Anisa, Khuntia, Arvind, Kileng, Bjarte, Kim, Beomkyu, Kim, Chong, Kim, Dong Jo, Kim, Eun Joo, Kim, Jaehyun, Kim, Jinsook, Kim, Jiyoung, Kim, Junlee, Kim, Minjung, Kim, Se Yong, Kim, Taejun, Kimura, Kento, Kirsch, Stefan, Kisel, Ivan, Kiselev, Sergej N., Kisiel, Adam Ryszard, Kitowski, Jacek Pawel, Klay, Jennifer Lynn, Klein, Jochen, Klein, Spencer Robert, Klein-Bösing, Christian, Kleiner, Matthias, Klemenz, Thomas, Kluge, Alexander, Knospe, Anders Garritt, Kobdaj, Chinorat, Kollegger, Thorsten, Kondratyev, Andrey, Kondratyeva, Natalia, Kondratyuk, Evgeny, König, Joshua Leon, Königstorfer, Stephan Alexander, Konopka, Piotr Jan, Kornakov Van, Georgui, Korwieser, Maximilian, Koryciak, Sebastian Dominik, Kotliarov, Artem, Kovalenko, Vladimir, Kowalski, Marek, Kozhuharov, Venelin Valeriev, Králik, Ivan, Kravčáková, Adela, Krcal, Lubos, Krivda, Marian, Krizek, Filip, Krizkova Gajdosova, Katarina, Kroesen, Martin, Krüger, Mario, Krupova, Diana Maria, Kryshen, Evgeny, Kucera, Vit, Kuhn, Christian Claude, Kuijer, Paulus Gerardus, Kumaoka, Takuya, Kumar, Deekshit, Kumar, Lokesh, Kumar, Navneet, Kumar, Shyam, Kundu, Sourav, Kurashvili, Podist, Kurepin, Alexander, Kurepin, Alexey B., Kuryakin, Alexey, Kushpil, Svetlana, Kuskov, Vladislav, Kweon, Min Jung, Kwon, Youngil, La Pointe, Sarah Louise, La Rocca, Paola, Lakrathok, Anantachai, Lamanna, Massimo, Landou, Aimeric Robin, Langoy, Rune, Larionov, Pavel, Laudi, Elisa, Lautner, Lukas, Lavicka, Roman, Lea, Ramona, Lee, Hyungjun, Legrand, Iosif-charles, Legras, Gauthier, Lehrbach, Johannes, Lelek, Tomasz Marcin, Lemmon, Roy Crawford, Leon Monzon, Ildefonso, Lesch, Marcel Markus, Lesser, Ezra Douglas, Lévai, Peter, Li, Xiaomei, Lien, Jørgen André, Lietava, Roman, Likmeta, Iris, Lim, Bong-Hwi, Lim, Sanghoon, Lindenstruth, Volker, Lindner, Amelia, Lippmann, Christian, Liu, Donghai, Liu, Jian, Setoue Liveraro, Gianni Shigeru, Mckibben Lofnes, Ingrid, Loizides, Constantinos, Lokos, Sandor, Lomker, Johanna, Lončar, Petra, Lopez, Xavier Bernard, López Torres, Ernesto, Lu, Pengzhong, Lugo, Fabiola Viridiana, Luhder, Jens Robert, Lunardon, Marcello, Luparello, Grazia, Ma, Yu-Gang, Mager, Magnus, Maire, Antonin, Majerz, Emilia Maria, Makariev, Martin Vasilev, Malaev, Mikhail, Malfattore, Giovanni, Malik, Nasir Mehdi, Malik, Qasim Waheed, Malik, Salman Khurshid, Malinina, Liudmila, Mallick, Dukhishyam, Mallick, Neelkamal, Mandaglio, Giuseppe, Mandal, Sushobhan Kumar, Manko, Vladislav, Manso, Franck, Manzari, Vito, Mao, Yaxian, Marcjan, Robert Waclaw, Margagliotti, Giacomo Vito, Margotti, Anselmo, Marin, Ana Maria, Markert, Christina, Martinengo, Paolo, Martínez Hernández, Mario Iván, García Martínez, Ginés, Martins Palhares, Maria Paula, Masciocchi, Silvia, Masera, Massimo, Masoni, Alberto, Massacrier, Laure Marie, Massen, Olaf, Mastroserio, Annalisa, Matonoha, Oliver, Mattiazzo, Serena, Matyja, Adam Tomasz, Mayer, Christoph, Lafuente Mazuecos, Antonio, Mazzaschi, Francesco, Mazzilli, Marianna, Mdhluli, Joyful Elma, Melikyan, Yury, Menchaca-rocha, Arturo Alejandro, Munoz Mendez, Jesus Eduardo, Meninno, Elisa, Sasikumar Menon, Anjaly, Meres, Michal, Mhlanga, Sibaliso, Miake, Yasuo, Micheletti, Luca, Mihaylov, Dimitar Lubomirov, Mikhaylov, Konstantin, Mishra, Aditya Nath, Czeslaw Miskowiec, Dariusz, Modak, Abhi, Mohanty, Bedangadas, Khan, Mohammed Mohisin, Molander, Mikael Andreas, Monira, Shirajum, Mordasini, Cindy, Moreira De Godoy Willems, Denise Aparecida, Morozov, Igor, Morsch, Andreas, Mrnjavac, Teo, Muccifora, Valeria, Muhuri, Sanjib, Mulligan, James Declan, Mulliri, Alice, Gameiro Munhoz, Marcelo, Munzer, Robert Helmut, Murakami, Hikari, Murray, Sean, Musa, Luciano, Musinsky, Jan, Myrcha, Julian Wojciech, Naik, Bharati, Nambrath, Anjali Ila, Nandi, Basanta Kumar, Nania, Rosario, Nappi, Eugenio, Nassirpour, Adrian Fereydon, Nath, Abhishek, Nattrass, Christine, Naydenov, Momchil Nikolaev, Neagu, Alexandra, Negru, Adrian-eduard, Nekrasova, Evgeniia, Nellen, Lukas, Nepeivoda, Roman, Nese, Sigurd, Nešković, Gvozden, Nicassio, Nicola, Nielsen, Borge Svane, Nielsen, Emil Gorm, Nikolaev, Sergey, Nikulin, Sergey, Nikulin, Vladimir, Noferini, Francesco, Noh, Seoyoung, Nomokonov, Petr V., Norman, Jaime, Novitzky, Norbert, Nowakowski, Piotr, Nyanin, Alexander, Nystrand, Joakim Ingemar, Ogino, Masanori, Oh, Saehanseul, Ohlson, Alice, Okorokov, Vitaly A., Oleniacz, Janusz, Silva, Antonio Carlos Oliveira da, Önnerstad, Anna, Oppedisano, Chiara, Ortiz Velasquez, Antonio, Otwinowski, Jacek Tomasz, Oya, Motomi, Oyama, Ken, Pachmayer, Yvonne C., Padhan, Sonali, Pagano, Davide, Paic, Guy, Paisano Guzman, Sergio, Palasciano, Antonio, Panebianco, Stefano Matthias, Park, Hanseo, Park, Hyebin, Park, Jonghan, Parkkila, Jasper Elias, Patley, Yash, Patra, Rajendra Nath, Paul, Biswarup, Pei, Hua, Peitzmann, Thomas, Peng, Xinye, Pennisi, Michele, Perciballi, Stefania, Peresunko, Dmitry Yurevich, Mesa Perez, Guillermo, Pestov, Yury N., Petrov, Vitalii, Petrovici, Mihai A., Pezzi, Rafael Peretti, Piano, Stefano, Pikna, Miroslav, Pillot, Philippe, Pinazza, Ombretta, Pinsky, Lawrence, Pinto, Chiara, Pisano, Silvia, Płoskoń, Mateusz, Planinic, Mirko, Pliquett, Fabian, Poghosyan, Martin G., Polishchuk, Boris, Politano, Stefano, Poljak, Nikola, Pop, Amalia, Porteboeuf, Sarah Julie, Pozdniakov, Valerii, Yoval Pozos, Irandheny, Pradhan, Kshitish Kumar, Prasad, Sidharth Kumar, Prasad, Suraj, Preghenella, Roberto, Prino, Francesco, Pruneau, Claude A., Pshenichnov, Igor A., Puccio, Maximiliano, Pucillo, Sara, Pugelova, Zuzana, Qiu, Shi, Quaglia, Luca, Ragoni, Simone, Rai, Ananya, Rakotozafindrabe, Andry Malala, Ramello, Luciano, Rami, Fouad, Rancien, Thibaut Albert, Rasa, Marika, Räsänen, Sami Sakari, Rath, Rutuparna, Rauch, Max Philip, Ravasenga, Ivan, Read, Kenneth Francis, Reckziegel, Christian, Redelbach, Andreas Ralph, Redlich, Krzysztof, Reetz, Carolina Anna, Regules Medel, Hector David, Rehman, Attiq ur, Reidt, Felix, Reme-Ness, Haakon André, Jakubcinova, Zuzana, Reygers, Klaus, Riabov, Andrei, Riabov, Viktor, Ricci, Riccardo, Richter, Matthias Rudolph, Riedel, Anton Albert, Riegler, Werner, Riffero, Andrea Giovanni, Ristea, Cătălin-Lucian, Viqueira Rodriguez, Manuel, Rodrı́guez Cahuantzi, Mario, Rodríguez Ramírez, Saúl Aníbal, Rogalev, Roman, Rogochaya, Elena, Rogoschinski, Tim Sebastian, Rohr, David, Röhrich, Dieter, Fierro Rojas, Pablo, Rojas Torres, Solangel, Rokita, Przemyslaw Stefan, Romanenko, Gleb, Ronchetti, Federico, Rosano, Antonina, Dominguez Rosas, Edgar, Rosłon, Krystian, Rossi, Andrea, Roy, Ankhi, Roy, Subhadeep, Rubini, Nicola, Ruggiano, Daniela, Rui, Rinaldo, Russek, Pawel Grzegorz, Russo, Roberto, Rustamov, Anar, Ryabinkin, Evgeny, Ryabov, Yury, Rybicki, Andrzej Krzysztof, Rytkönen, Heidi Maria, Ryu, Jaehyeok, Rzęsa, Wioleta, Saarimäki, Oskari Antti Matti, Sadhu, Samrangy, Sadovskiy, Sergey, Sætre, Jon-are, Šafařík, Karel, Saha, Pallabi, Saha, Sumit Kumar, Saha, Swati, Sahoo, Baidyanath, Sahoo, Bhagyarathi, Sahoo, Raghunath, Sahoo, Sarita, Sahu, Dushmanta, Sahu, Pradip Kumar, Saini, Jogender, Tropp, Klaudia, Sakai, Shingo, Panikkassery Salvan, Malavika, Sambyal, Sanjeev Singh, Samitz, Daniel, Sanna, Isabella, Badaro Saramela, Thiago, Sarma, Pranjal, Sarritzu, Valerio, Mantovani Sarti, Valentina, Sas, Mike Henry Petrus, Sawan, Sawan, Schambach, Johann Joachim, Scheid, Horst Sebastian, Schiaua, Claudiu Cornel, Schicker, Rainer, Schlepper, Felix, Schmah, Alexander, Schmidt, Christian Joachim, Schmidt, Hans Rudolf, Schmidt, Marten Ole, Schmidt, Martin, Schmidt, Nicolas, Schmier, Austin Robert, Schotter, Romain, Wilhelmi, Alexander, Schukraft, Jürgen, Schweda, Kai, Scioli, Gilda, Scomparin, Enrico, Seger, Janet Elizabeth, Sekiguchi, Yuko, Sekihata, Daiki, Selina, Mariia, Selyuzhenkov, Ilya, Senyukov, Serhiy, Seo, Jin Joo, Serebryakov, Dmitry, Šerkšnytė, Laura, Sevcenco, Adrian, Shaba, Tebogo Joyce, Shabetai, Alexandre, Shahoyan, Ruben, Shangaraev, Artem, Sharma, Anjali, Sharma, Binti, Sharma, Deependra, Sharma, Himanshu, Sharma, Meenakshi, Sharma, Samarth, Sharma, Sheetal, Sharma, Upasana, Shatat, Afnan, Sheibani, Oveis, Shigaki, Kenta, Hachiya Shimomura, Maya, Shin, Jaehyuck, Shirinkin, Sergey, Shou, Qiye, Sibiryak, Yury, Siddhanta, Sabyasachi, Siemiarczuk, Teodor, Silva, Tiago Fiorini da, Silvermyr, David Olle Rickard, Simantathammakul, Tawanchat, Simeonov, Radoslav, Singh, Balwan, Singh, Bhawani, Singh, Kamaljeet, Singh, Ranbir, Singh, Randhir, Singh, Ravindra, Singh, Sweta, Singh, Vivek, Singhal, Vikas, Sarkar - Sinha, Tinku, Sitar, Branislav, Sitta, Mario, Skaali, Toralf Bernhard, Skorodumovs, Georgijs, Slupecki, Maciej, Smirnov, Nikolai, Snellings, Raimond, Haugland Solheim, Emilie, Song, Jihye, Sonnabend, Christian, Soramel, Francesca, Soto-hernandez, Analyce Bella, Spijkers, Rik, Sputowska, Iwona Anna, Staa, Joey, Stachel, Johanna, Stan, Ionel, Steffanic, Patrick John, Stiefelmaier, Stephan, Stocco, Diego, Storehaug, Ida, Stratmann, Peter, Strazzi, Sofia, Sturniolo, Alessandro, Pliatskas Stylianidis, Christos, Suaide, Alexandre Alarcon do Passo, Suire, Christophe Pierre, Sukhanov, Mikhail, Šuljić, Miljenko, Sultanov, Rishat, Sumberia, Vikash, Sumowidagdo, Suharyo, Swain, Sagarika, Szarka, Imrich, Szymkowski, Maciej, Taghavi, Seyed Farid, Taillepied, Guillaume, Takahashi, Jun, Tambave, Ganesh Jagannath, Tang, Siyu, Tang, Zebo, Tapia Takaki, Jesus Daniel, Tapus, Nicolae, Tarasovicova, Lucia Anna, Tarzila, Madalina-Gabriela, Tassielli, Giovanni Francesco, Tauro, Arturo, Tejeda Muñoz, Guillermo, Telesca, Adriana, Terlizzi, Livia, Terrevoli, Cristina, Thakur, Sanchari, Thomas, Deepa, Tikhonov, Anatoly, Tiltmann, Nicolas, Timmins, Anthony Robert, Tkacik, Milan, Tkacik, Tomas, Toia, Alberica, Tokumoto, Ryoka, Tomohiro, Keisuke, Topilskaya, Nataliya, Toppi, Marco, Tork, Theraa M.A., Vargas Torres, Paola, Valencia Torres, Victor, Torres Ramos, Arianna Grisel, Trifiro, Antonio, Triolo, Andrea Sofia, Tripathy, Sushanta, Tripathy, Tulika, Trogolo, Stefano, Trubnikov, Victor, Trzaska, Wladyslaw Henryk, Trzcinski, Tomasz Piotr, Tumkin, Alexandr, Turrisi, Rosario, Tveter, Trine Spedstad, Ullaland, Kjetil, Ulukutlu, Berkin, Uras, Antonio, Usai, Gianluca, Vala, Martin, Valle, Nicolò, Doremalen, Lennart Vincent Rogier van, Leeuwen, Marco van, Van Veen, Casper Arie, Weelden, Roelof Jan Gijs van, Vyvre, Pierre vande, Varga, Dezsö, Varga, Zoltán, Vasileiou, Maria, Vasiliev, Andrey, Vazquez Doce, Oton, Vazquez Rueda, Omar, Vechernin, Vladimir, Vercellin, Ermanno, Vergara Limon, Sergio, Verma, Rahul, Vermunt, Lucas Anne, Vértesi, Róbert, Verweij, Marta, Vicković, Linda, Vilakazi, Zabulon, Villalobos Baillie, Orlando, Villani, Anna, Vinogradov, Alexander, Virgili, Tiziano, Virta, Maxim Mikael Olavi, Vislavicius, Vytautas, Vodopyanov, Alexander, Voelkel, Benedikt, Volkl, Martin Andreas, Voloshin, Kirill, Voloshin, Sergei, Volpe, Giacomo, Haller, Barthélémy von, Vorobyev, Ivan, Vozniuk, Nikita, Vrlakova, Janka, Wan, Jie, Wang, Chunzheng, Wang, Dongfang, Wang, Yuanzhe, Wang, Yubiao, Wegrzynek, Adam Tadeusz, Weiglhofer, Felix Thomas, Wenzel, Sandro Christian, Wessels, Johannes P., Wiechula, Jens, Wikne, Jon, Wilk, Grzegorz Andrzej, Wilkinson, Jeremy John, Willems, Guido Alexander, Windelband, Bernd, Winn, Michael, Wright, Josephina Rae, Wu, Wenya, Wu, Yitao, Xu, Ran, Yadav, Ankur, Yadav, Arun Kumar, Yalcin Kuzu, Serpil, Yamaguchi, Yorito, Yang, Shiming, Yano, Satoshi, Yin, Zhongbao, Yoo, In-Kwon, Yoon, Jin Hee, Yu, Hyeonjin, Yuan, Shiming, Yüncü, Alperen, Zaccolo, Valentina, Zampolli, Chiara, Zanone, Federica, Zardoshti, Nima, Zarochentsev, Andrey, Závada, Petr, Zavyalov, Nikolay, Zhalov, Mikhail, Zhang, Biao, Zhang, Chi, Zhang, Liuyao, Zhang, Song, Zhang, Xiaoming, Zhang, Yifei, Zhang, Zhen, Zhao, Mingrui, Zherebchevskii, Vladimir, Yu, Zhi, Zhou, Daicui, Zhou, You, Zhu, Jianhui, Zhu, Ya, Zugravel, Stefan Cristi, Zurlo, Nicola, Acharya, Shreyasi, Adamová, Dagmar, Aglieri Rinella, Gianluca, Agnello, Michelangelo, Agrawal, Neelima, Ahammed, Zubayer, Ahmad, Shakeel, Ahn, Sang Un, Ahuja, Ishaan, Akindinov, Alexander, Al-Turany, Mohammad, Aleksandrov, Dmitry, Alessandro, Bruno, Alfanda, Haidar Mas’ud, Alfaro Molina, Jose Ruben, Ali, Bushra, Alici, Andrea, Alizadehvandchali, Negin, Alkin, Anton, Alme, Johan, Alocco, Giacomo, Alt, Torsten, Altamura, Anna Rita, Altsybeev, Igor, Alvarado Garcia, Jesús Ricardo, Anaam, Mustafa Naji, Andrei, Cristian, Andreou, Nicodemos, Andronic, Anton, Anguelov, Venelin, Antinori, Federico, Antonioli, Pietro, Apadula, Nicole, Aphecetche, Laurent Bernard, Appelshäuser, Harald, Arata, Carolina, Arcelli, Silvia, Aresti, Mauro, Arnaldi, Roberta, Arneiro, Jhoao Gabriel Martins Campos Almeida, Arsene, Ionut Cristian, Arslandok, Mesut, Augustinus, Andre, Averbeck, Ralf Peter, Azmi, Mohd Danish, Baba, Hitoshi, Badalà, Angela, Bae, Joonsuk, Baek, Yong Wook, Bai, Xiaozhi, Bailhache, Raphaëlle, Bailung, Yoshini, Balbino, Alessandro, Baldisseri, Alberto, Balis, Bartosz, Banerjee, Debjani, Banoo, Zarina, Barbera, Roberto, Barile, Francesco, Barioglio, Luca, Barlou, Maria, Barman, Banajit, Barnaföldi, Gergely Gábor, Barnby, Lee Stuart, Ramillien Barret, Valerie, Barreto De Oliveira Campos, Leonardo, Bartels, Clara, Barth, Klaus, Bartsch, Esther, Bastid, Nicole, Basu, Sumit, Batigne, Guillaume, Battistini, Daniel, Batyunya, Boris, Bauri, Dibakar, Bazo Alba, José Luis, Bearden, Ian Gardner, Beattie, Caitlin, Becht, Pascal, Behera, Debadatta, Belikov, Iouri, Bell Hechavarria, Ailec de la Caridad, Bellini, Francesca, Bellwied, Rene, Belokurova, Svetlana, Vasquez Beltran, Yael Antonio, Bencédi, Gyula, Beolè, Stefania, Berdnikov, Yaroslav, Berdnikova, Anastasia, Bergmann, Luisa, Besoiu, Mihaela Gabriela, Betev, Latchezar, Bhaduri, Partha Pratim, Bhasin, Anju, Bhat, Mohammad Asif, Bhattacharjee, Buddhadeb, Bianchi, Livio, Bianchi, Nicola, Bielčík, Jaroslav, Bielčíková, Jana, Biernat, Jacek, Bigot, Alexandre Patrick, Bilandzic, Ante, Biro, Gabor, Biswas, Saikat, Bize, Nicolas Luc, Blair, Justin Thomas, Blau, Dmitry S., Blidaru, Mihail-Bogdan, Bluhme, Nora, Blume, Christoph, Boca, Gianluigi, Bock, Friederike, Bodova, Tea, Bogdanov, Alexey A., Boi, Stefano, Bok, Jeongsu, Boldizsar, Laszlo, Bombara, Marek, Bond, Peter Matthew, Bonomi, Germano, Borel, Herve, Borissov, Alexander, Borquez Carcamo, Andres Gerardo, Bossi, Hannah, Botta, Elena, El Mard Bouziani, Youssef, Bratrud, Lars, Braun-Munzinger, Peter, Bregant, Marco, Broz, Michal, Bruno, Giuseppe Eugenio, Buckland, Matthew Daniel, Budnikov, Dmitry, Büsching, Henner, Bufalino, Stefania, Bühler, Paul, Burmasov, Nazar, Buthelezi, Edith Zinhle, Bylinkin, Alexander, Bysiak, Sebastian Adam, Cai, Mengke, Caines, Helen Louise, Caliva, Alberto, Calvo Villar, Ernesto, Mejia Camacho, Juan Manuel, Camerini, Paolo, Canedo, Fabio de Moraes Canedo, Cantway, S.L., Ducati, Maria Beatriz de Leone Gay, Kabus, Maja Jadwiga, Polichtchouk, Boris, Porteboeuf-Houssais, Sarah Julie, Rescakova, Zuzana, Røed, Ketil, Sajdakova, K., Schroter, Alexander, Weyhmiller, Sierra Lisa, Carabas, Mihai, Amatriain Carballo, Aitor, Carnesecchi, Francesca, Caron, Robin Albert Andre, Abranches De Carvalho, Leopoldo, Castillo Castellanos, Javier Ernesto, Catalano, Fabio, Ceballos Sanchez, Cesar, Chakaberia, Irakli, Chakraborty, Pritam, Chandra, Sinjini, Chapeland, Sylvain, Chartier, Marielle, Chattopadhyay, Subhasis, Chattopadhyay, Sukalyan, Cheng, Tiantian, Cheshkov, Cvetan Valeriev, Cheynis, Brigitte, Chibante Barroso, Vasco Miguel, Chinellato, David Dobrigkeit, Chizzali, Emma Sophia, Cho, Jaeyoon, Cho, Soyeon, Chochula, Peter, Choudhury, Dhrubajyoti, Christakoglou, Panagiotis, Christensen, Christian Holm, Christiansen, Peter L., Chujo, Tatsuya, Ciacco, Mario, Cicalò, Corrado, Cindolo, Federico, Ciupek, Michael Rudolf, Clai, Giulia, Colamaria, Fabio Filippo, Colburn, Jonathan Samuel, Colella, Domenico, Colocci, Manuel, Concas, Matteo, Conesa Balbastre, Gustavo, Conesa Del Valle, Zaida, Contin, Giacomo, Contreras Nuno, Jesus Guillermo, Coquet, Maurice Louis, Cortese, Pietro, Cosentino, Mauro Rogerio, Costa, Filippo, Costanza, Susanna, Cot, Corentin, Crkovská, Jana, Crochet, Philippe, Cruz Torres, Reynier, Cui, Pengyao, Dainese, Andrea, Danisch, Meike Charlotte, Danu, Andrea, Das, Prottay, Das, Prottoy, Das, Supriya, Dash, Archita Rani, Dash, Sadhana, De Caro, Annalisa, De Cataldo, Giacinto, Cuveland, Jan de, De Falco, Alessandro, De Gruttola, Daniele, De Marco, Nora, De Martin, Chiara, De Pasquale, Salvatore, Deb, Rohaan, Del Grande, Raffaele, Dello Stritto, Luigi, Deng, Wenjing, Dhankher, Preeti, Di Bari, Domenico, Di Mauro, Antonio, Diab, Batoul, Arteche Diaz, Raul, Dietel, Thomas, Ding, Yanchun, Ditzel, Janik, Divià, Roberto, Dixit, Dhruv Utpalkumar, Djuvsland, Øystein, Dmitrieva, Uliana, Dobrin, Alexandru Florin, Donigus, Benjamin, Dubinski, Jan Michal, Dubla, Andrea, Dudi, Sandeep, Dupieux, Pascal, Durkac, Martin, Dzalaiova, Natalia, Eder, Tabea Maria, Ehlers, Raymond James, III, Eisenhut, Florian, Ejima, Ren, Elia, Domenico, Erazmus, Barbara Ewa, Ercolessi, Francesca, Espagnon, Bruno, Eulisse, Giulio, Evans, David, Evdokimov, Sergey, Fabbietti, Laura, Faggin, Mattia, Faivre, Julien, Fan, Feng, Fan, Wenqing, Fantoni, Alessandra, Fasel, Markus, Feliciello, Alessandro, Feofilov, Grigori A., Fernández Téllez, Arturo, Ferrandi De Oliveira, Lucas, Bertran Ferrer, Marta, Ferrero, Andrea, Ferrero, Chiara, Ferretti, Alessandro, Feuillard, Victor Jose Gaston, Filova, Vendulka, Finogeev, Dmitry, Fionda, Fiorella Maria Celeste, Flatland, Erlend, Flor, Fernando Antonio, Flores, Amanda Nicole, Foertsch, Siegfried Valentin, Fokin, Ilya, Fokin, Sergey, Fragiacomo, Enrico, Frajna, Eszter, Fuchs, Ulrich, Funicello, Nicola, Furget, Christophe, Furs, Artur, Fusayasu, Takahiro, Gaardhoeje, Jens Joergen, Gagliardi, Martino, Gago Medina, Alberto Martín, Gahlaut, Tanu, Duarte Galvan, Carlos, Gangadharan, Dhevan Raja, Ganoti, Paraskevi, Garabatos Cuadrado, Jose Maria, Tavira Garcia, Andrea, García Chávez, Tonatiuh, Garcia-Solis, Edmundo Javier, Gargiulo, Corrado, Gasik, Piotr, Gautam, Amrit, Germain, Marie, Ghimouz, Abderrahmane, Ghosh, Chandrasekhar, Giacalone, Marco, Gioachin, Giulia, Giubellino, Paolo, Giubilato, Piero, Glaenzer, Aude Marie Camille, Glässel, Peter, Glimos, Ewa, Goh, Daniel Jia Qin, Gonzalez Sebastian, Victor Luis, Gordeev, Pavel, Gorgon, Marek Boguslaw, Goswami, Kangkan, Gotovac, Sven, Grabski, Varlen, Graczykowski, Łukasz Kamil, Grecka, Ekaterina, Grelli, Alessandro, Grigoraș, Costin, Grigoryev, Vladislav, Grigoryan, Smbat, Grosa, Fabrizio, Große-Oetringhaus, Jan Fiete, Grosso, Raffaele, Grund, David, Grünwald, Nadine Alice, Garcia Guardiano, Gabriel, Guernane, Rachid, Guilbaud, Maxime Rene Joseph, Gulbrandsen, Kristjan Herlache, Gündem, Tuba, Gunji, Taku, Guo, Wenda, Gupta, Anik, Gupta, Ramni, Gupta, Rashi, Gwizdziel, Katarzyna, Gyulai, Laszlo, Hadjidakis, Cynthia Marie, Haider, Fakhar Ul, Haidlova, Sara, Hamagaki, Hideki, Hamdi, Abdennacer, Han, Younghoon, Hanley, Brian Gerald, Hannigan, Ryan, Hansen, Joachim, Haque, Md Rihan, Harris, John William, Harton, Austin Vincent, Hassan, Hadi, Hatzifotiadou, Despina, Hauer, Philip, Havener, Laura Brittany, Heckel, Stefan Thomas, Hellbär, Ernst, Helstrup, Håvard, Hemmer, Marvin, Herman, Tomáš, Herrera Corral, Gerardo Antonio, Herrmann, Florian, Herrmann, Sarah Nina Edwige, Hetland, Kristin Fanebust, Heybeck, Benedict, Hillemanns, Hartmut, Hippolyte, Boris, Hoffmann, Felix Willi, Hofman, Bas, Hong, Geunhee, Horst, Maximilian, Horzyk, Adrian, Hou, Yongzhen, Hristov, Peter, Hughes, Charles, Huhn, Patrick, Huhta, Laura Maria, Humanic, Thomas J., Hutson, Alek, Hutter, Dirk, Ilkaev, Radiy, Ilyas, Hira, Inaba, Motoi, Innocenti, Gian Michele, Ippolitov, Mikhail, Isakov, Artem, Isidori, Tommaso, Islam, Md Samsul, Ivanov, Marian, Ivanov, Vladimir, Iversen, Kaare Endrup, Jablonski, Miroslaw, Jacak, Barbara, Jacazio, Nicolò, Jacobs, Peter Martin, Jadlovska, Slavka, Jadlovsky, Jan, Jaelani, Syaefudin, Jahnke, Cristiane, Jakubowska, Monika Joanna, Janik, Malgorzata Anna, Janson, Thomas, Ji, Su-jeong, Jia, Shihai, Paz Jimenez, Alom Antonio, Jonas, Florian, Jones, Daniel Matthew, Jowett, John M., Jung, Jerome, Jung, Michael, Junique, Antoine Jean-Simon, Jusko, Anton, Karwowska, Maja Jadwiga, Kaewjai, Jetnipit, Kalinak, Peter, Kalteyer, Annalena Sophie, Kalweit, Alexander Philipp, Kaplin, Vladimir, Karasu Uysal, Ayben, Karatović, David, Karavichev, Oleg V., Karavicheva, Tatiana L., Karczmarczyk, Przemyslaw, Karpechev, Evgeny, Kebschull, Udo, Keidel, Ralf, Keijdener, D.L. D., Keil, Markus, Ketzer, Bernhard, Khade, Swapnesh Santosh, Khan, Ahsan Mehmood, Khan, Shaista, Khanzadeev, Alexei, Kharlov, Yury, Khatun, Anisa, Khuntia, Arvind, Kileng, Bjarte, Kim, Beomkyu, Kim, Chong, Kim, Dong Jo, Kim, Eun Joo, Kim, Jaehyun, Kim, Jinsook, Kim, Jiyoung, Kim, Junlee, Kim, Minjung, Kim, Se Yong, Kim, Taejun, Kimura, Kento, Kirsch, Stefan, Kisel, Ivan, Kiselev, Sergej N., Kisiel, Adam Ryszard, Kitowski, Jacek Pawel, Klay, Jennifer Lynn, Klein, Jochen, Klein, Spencer Robert, Klein-Bösing, Christian, Kleiner, Matthias, Klemenz, Thomas, Kluge, Alexander, Knospe, Anders Garritt, Kobdaj, Chinorat, Kollegger, Thorsten, Kondratyev, Andrey, Kondratyeva, Natalia, Kondratyuk, Evgeny, König, Joshua Leon, Königstorfer, Stephan Alexander, Konopka, Piotr Jan, Kornakov Van, Georgui, Korwieser, Maximilian, Koryciak, Sebastian Dominik, Kotliarov, Artem, Kovalenko, Vladimir, Kowalski, Marek, Kozhuharov, Venelin Valeriev, Králik, Ivan, Kravčáková, Adela, Krcal, Lubos, Krivda, Marian, Krizek, Filip, Krizkova Gajdosova, Katarina, Kroesen, Martin, Krüger, Mario, Krupova, Diana Maria, Kryshen, Evgeny, Kucera, Vit, Kuhn, Christian Claude, Kuijer, Paulus Gerardus, Kumaoka, Takuya, Kumar, Deekshit, Kumar, Lokesh, Kumar, Navneet, Kumar, Shyam, Kundu, Sourav, Kurashvili, Podist, Kurepin, Alexander, Kurepin, Alexey B., Kuryakin, Alexey, Kushpil, Svetlana, Kuskov, Vladislav, Kweon, Min Jung, Kwon, Youngil, La Pointe, Sarah Louise, La Rocca, Paola, Lakrathok, Anantachai, Lamanna, Massimo, Landou, Aimeric Robin, Langoy, Rune, Larionov, Pavel, Laudi, Elisa, Lautner, Lukas, Lavicka, Roman, Lea, Ramona, Lee, Hyungjun, Legrand, Iosif-charles, Legras, Gauthier, Lehrbach, Johannes, Lelek, Tomasz Marcin, Lemmon, Roy Crawford, Leon Monzon, Ildefonso, Lesch, Marcel Markus, Lesser, Ezra Douglas, Lévai, Peter, Li, Xiaomei, Lien, Jørgen André, Lietava, Roman, Likmeta, Iris, Lim, Bong-Hwi, Lim, Sanghoon, Lindenstruth, Volker, Lindner, Amelia, Lippmann, Christian, Liu, Donghai, Liu, Jian, Setoue Liveraro, Gianni Shigeru, Mckibben Lofnes, Ingrid, Loizides, Constantinos, Lokos, Sandor, Lomker, Johanna, Lončar, Petra, Lopez, Xavier Bernard, López Torres, Ernesto, Lu, Pengzhong, Lugo, Fabiola Viridiana, Luhder, Jens Robert, Lunardon, Marcello, Luparello, Grazia, Ma, Yu-Gang, Mager, Magnus, Maire, Antonin, Majerz, Emilia Maria, Makariev, Martin Vasilev, Malaev, Mikhail, Malfattore, Giovanni, Malik, Nasir Mehdi, Malik, Qasim Waheed, Malik, Salman Khurshid, Malinina, Liudmila, Mallick, Dukhishyam, Mallick, Neelkamal, Mandaglio, Giuseppe, Mandal, Sushobhan Kumar, Manko, Vladislav, Manso, Franck, Manzari, Vito, Mao, Yaxian, Marcjan, Robert Waclaw, Margagliotti, Giacomo Vito, Margotti, Anselmo, Marin, Ana Maria, Markert, Christina, Martinengo, Paolo, Martínez Hernández, Mario Iván, García Martínez, Ginés, Martins Palhares, Maria Paula, Masciocchi, Silvia, Masera, Massimo, Masoni, Alberto, Massacrier, Laure Marie, Massen, Olaf, Mastroserio, Annalisa, Matonoha, Oliver, Mattiazzo, Serena, Matyja, Adam Tomasz, Mayer, Christoph, Lafuente Mazuecos, Antonio, Mazzaschi, Francesco, Mazzilli, Marianna, Mdhluli, Joyful Elma, Melikyan, Yury, Menchaca-rocha, Arturo Alejandro, Munoz Mendez, Jesus Eduardo, Meninno, Elisa, Sasikumar Menon, Anjaly, Meres, Michal, Mhlanga, Sibaliso, Miake, Yasuo, Micheletti, Luca, Mihaylov, Dimitar Lubomirov, Mikhaylov, Konstantin, Mishra, Aditya Nath, Czeslaw Miskowiec, Dariusz, Modak, Abhi, Mohanty, Bedangadas, Khan, Mohammed Mohisin, Molander, Mikael Andreas, Monira, Shirajum, Mordasini, Cindy, Moreira De Godoy Willems, Denise Aparecida, Morozov, Igor, Morsch, Andreas, Mrnjavac, Teo, Muccifora, Valeria, Muhuri, Sanjib, Mulligan, James Declan, Mulliri, Alice, Gameiro Munhoz, Marcelo, Munzer, Robert Helmut, Murakami, Hikari, Murray, Sean, Musa, Luciano, Musinsky, Jan, Myrcha, Julian Wojciech, Naik, Bharati, Nambrath, Anjali Ila, Nandi, Basanta Kumar, Nania, Rosario, Nappi, Eugenio, Nassirpour, Adrian Fereydon, Nath, Abhishek, Nattrass, Christine, Naydenov, Momchil Nikolaev, Neagu, Alexandra, Negru, Adrian-eduard, Nekrasova, Evgeniia, Nellen, Lukas, Nepeivoda, Roman, Nese, Sigurd, Nešković, Gvozden, Nicassio, Nicola, Nielsen, Borge Svane, Nielsen, Emil Gorm, Nikolaev, Sergey, Nikulin, Sergey, Nikulin, Vladimir, Noferini, Francesco, Noh, Seoyoung, Nomokonov, Petr V., Norman, Jaime, Novitzky, Norbert, Nowakowski, Piotr, Nyanin, Alexander, Nystrand, Joakim Ingemar, Ogino, Masanori, Oh, Saehanseul, Ohlson, Alice, Okorokov, Vitaly A., Oleniacz, Janusz, Silva, Antonio Carlos Oliveira da, Önnerstad, Anna, Oppedisano, Chiara, Ortiz Velasquez, Antonio, Otwinowski, Jacek Tomasz, Oya, Motomi, Oyama, Ken, Pachmayer, Yvonne C., Padhan, Sonali, Pagano, Davide, Paic, Guy, Paisano Guzman, Sergio, Palasciano, Antonio, Panebianco, Stefano Matthias, Park, Hanseo, Park, Hyebin, Park, Jonghan, Parkkila, Jasper Elias, Patley, Yash, Patra, Rajendra Nath, Paul, Biswarup, Pei, Hua, Peitzmann, Thomas, Peng, Xinye, Pennisi, Michele, Perciballi, Stefania, Peresunko, Dmitry Yurevich, Mesa Perez, Guillermo, Pestov, Yury N., Petrov, Vitalii, Petrovici, Mihai A., Pezzi, Rafael Peretti, Piano, Stefano, Pikna, Miroslav, Pillot, Philippe, Pinazza, Ombretta, Pinsky, Lawrence, Pinto, Chiara, Pisano, Silvia, Płoskoń, Mateusz, Planinic, Mirko, Pliquett, Fabian, Poghosyan, Martin G., Polishchuk, Boris, Politano, Stefano, Poljak, Nikola, Pop, Amalia, Porteboeuf, Sarah Julie, Pozdniakov, Valerii, Yoval Pozos, Irandheny, Pradhan, Kshitish Kumar, Prasad, Sidharth Kumar, Prasad, Suraj, Preghenella, Roberto, Prino, Francesco, Pruneau, Claude A., Pshenichnov, Igor A., Puccio, Maximiliano, Pucillo, Sara, Pugelova, Zuzana, Qiu, Shi, Quaglia, Luca, Ragoni, Simone, Rai, Ananya, Rakotozafindrabe, Andry Malala, Ramello, Luciano, Rami, Fouad, Rancien, Thibaut Albert, Rasa, Marika, Räsänen, Sami Sakari, Rath, Rutuparna, Rauch, Max Philip, Ravasenga, Ivan, Read, Kenneth Francis, Reckziegel, Christian, Redelbach, Andreas Ralph, Redlich, Krzysztof, Reetz, Carolina Anna, Regules Medel, Hector David, Rehman, Attiq ur, Reidt, Felix, Reme-Ness, Haakon André, Jakubcinova, Zuzana, Reygers, Klaus, Riabov, Andrei, Riabov, Viktor, Ricci, Riccardo, Richter, Matthias Rudolph, Riedel, Anton Albert, Riegler, Werner, Riffero, Andrea Giovanni, Ristea, Cătălin-Lucian, Viqueira Rodriguez, Manuel, Rodrı́guez Cahuantzi, Mario, Rodríguez Ramírez, Saúl Aníbal, Rogalev, Roman, Rogochaya, Elena, Rogoschinski, Tim Sebastian, Rohr, David, Röhrich, Dieter, Fierro Rojas, Pablo, Rojas Torres, Solangel, Rokita, Przemyslaw Stefan, Romanenko, Gleb, Ronchetti, Federico, Rosano, Antonina, Dominguez Rosas, Edgar, Rosłon, Krystian, Rossi, Andrea, Roy, Ankhi, Roy, Subhadeep, Rubini, Nicola, Ruggiano, Daniela, Rui, Rinaldo, Russek, Pawel Grzegorz, Russo, Roberto, Rustamov, Anar, Ryabinkin, Evgeny, Ryabov, Yury, Rybicki, Andrzej Krzysztof, Rytkönen, Heidi Maria, Ryu, Jaehyeok, Rzęsa, Wioleta, Saarimäki, Oskari Antti Matti, Sadhu, Samrangy, Sadovskiy, Sergey, Sætre, Jon-are, Šafařík, Karel, Saha, Pallabi, Saha, Sumit Kumar, Saha, Swati, Sahoo, Baidyanath, Sahoo, Bhagyarathi, Sahoo, Raghunath, Sahoo, Sarita, Sahu, Dushmanta, Sahu, Pradip Kumar, Saini, Jogender, Tropp, Klaudia, Sakai, Shingo, Panikkassery Salvan, Malavika, Sambyal, Sanjeev Singh, Samitz, Daniel, Sanna, Isabella, Badaro Saramela, Thiago, Sarma, Pranjal, Sarritzu, Valerio, Mantovani Sarti, Valentina, Sas, Mike Henry Petrus, Sawan, Sawan, Schambach, Johann Joachim, Scheid, Horst Sebastian, Schiaua, Claudiu Cornel, Schicker, Rainer, Schlepper, Felix, Schmah, Alexander, Schmidt, Christian Joachim, Schmidt, Hans Rudolf, Schmidt, Marten Ole, Schmidt, Martin, Schmidt, Nicolas, Schmier, Austin Robert, Schotter, Romain, Wilhelmi, Alexander, Schukraft, Jürgen, Schweda, Kai, Scioli, Gilda, Scomparin, Enrico, Seger, Janet Elizabeth, Sekiguchi, Yuko, Sekihata, Daiki, Selina, Mariia, Selyuzhenkov, Ilya, Senyukov, Serhiy, Seo, Jin Joo, Serebryakov, Dmitry, Šerkšnytė, Laura, Sevcenco, Adrian, Shaba, Tebogo Joyce, Shabetai, Alexandre, Shahoyan, Ruben, Shangaraev, Artem, Sharma, Anjali, Sharma, Binti, Sharma, Deependra, Sharma, Himanshu, Sharma, Meenakshi, Sharma, Samarth, Sharma, Sheetal, Sharma, Upasana, Shatat, Afnan, Sheibani, Oveis, Shigaki, Kenta, Hachiya Shimomura, Maya, Shin, Jaehyuck, Shirinkin, Sergey, Shou, Qiye, Sibiryak, Yury, Siddhanta, Sabyasachi, Siemiarczuk, Teodor, Silva, Tiago Fiorini da, Silvermyr, David Olle Rickard, Simantathammakul, Tawanchat, Simeonov, Radoslav, Singh, Balwan, Singh, Bhawani, Singh, Kamaljeet, Singh, Ranbir, Singh, Randhir, Singh, Ravindra, Singh, Sweta, Singh, Vivek, Singhal, Vikas, Sarkar - Sinha, Tinku, Sitar, Branislav, Sitta, Mario, Skaali, Toralf Bernhard, Skorodumovs, Georgijs, Slupecki, Maciej, Smirnov, Nikolai, Snellings, Raimond, Haugland Solheim, Emilie, Song, Jihye, Sonnabend, Christian, Soramel, Francesca, Soto-hernandez, Analyce Bella, Spijkers, Rik, Sputowska, Iwona Anna, Staa, Joey, Stachel, Johanna, Stan, Ionel, Steffanic, Patrick John, Stiefelmaier, Stephan, Stocco, Diego, Storehaug, Ida, Stratmann, Peter, Strazzi, Sofia, Sturniolo, Alessandro, Pliatskas Stylianidis, Christos, Suaide, Alexandre Alarcon do Passo, Suire, Christophe Pierre, Sukhanov, Mikhail, Šuljić, Miljenko, Sultanov, Rishat, Sumberia, Vikash, Sumowidagdo, Suharyo, Swain, Sagarika, Szarka, Imrich, Szymkowski, Maciej, Taghavi, Seyed Farid, Taillepied, Guillaume, Takahashi, Jun, Tambave, Ganesh Jagannath, Tang, Siyu, Tang, Zebo, Tapia Takaki, Jesus Daniel, Tapus, Nicolae, Tarasovicova, Lucia Anna, Tarzila, Madalina-Gabriela, Tassielli, Giovanni Francesco, Tauro, Arturo, Tejeda Muñoz, Guillermo, Telesca, Adriana, Terlizzi, Livia, Terrevoli, Cristina, Thakur, Sanchari, Thomas, Deepa, Tikhonov, Anatoly, Tiltmann, Nicolas, Timmins, Anthony Robert, Tkacik, Milan, Tkacik, Tomas, Toia, Alberica, Tokumoto, Ryoka, Tomohiro, Keisuke, Topilskaya, Nataliya, Toppi, Marco, Tork, Theraa M.A., Vargas Torres, Paola, Valencia Torres, Victor, Torres Ramos, Arianna Grisel, Trifiro, Antonio, Triolo, Andrea Sofia, Tripathy, Sushanta, Tripathy, Tulika, Trogolo, Stefano, Trubnikov, Victor, Trzaska, Wladyslaw Henryk, Trzcinski, Tomasz Piotr, Tumkin, Alexandr, Turrisi, Rosario, Tveter, Trine Spedstad, Ullaland, Kjetil, Ulukutlu, Berkin, Uras, Antonio, Usai, Gianluca, Vala, Martin, Valle, Nicolò, Doremalen, Lennart Vincent Rogier van, Leeuwen, Marco van, Van Veen, Casper Arie, Weelden, Roelof Jan Gijs van, Vyvre, Pierre vande, Varga, Dezsö, Varga, Zoltán, Vasileiou, Maria, Vasiliev, Andrey, Vazquez Doce, Oton, Vazquez Rueda, Omar, Vechernin, Vladimir, Vercellin, Ermanno, Vergara Limon, Sergio, Verma, Rahul, Vermunt, Lucas Anne, Vértesi, Róbert, Verweij, Marta, Vicković, Linda, Vilakazi, Zabulon, Villalobos Baillie, Orlando, Villani, Anna, Vinogradov, Alexander, Virgili, Tiziano, Virta, Maxim Mikael Olavi, Vislavicius, Vytautas, Vodopyanov, Alexander, Voelkel, Benedikt, Volkl, Martin Andreas, Voloshin, Kirill, Voloshin, Sergei, Volpe, Giacomo, Haller, Barthélémy von, Vorobyev, Ivan, Vozniuk, Nikita, Vrlakova, Janka, Wan, Jie, Wang, Chunzheng, Wang, Dongfang, Wang, Yuanzhe, Wang, Yubiao, Wegrzynek, Adam Tadeusz, Weiglhofer, Felix Thomas, Wenzel, Sandro Christian, Wessels, Johannes P., Wiechula, Jens, Wikne, Jon, Wilk, Grzegorz Andrzej, Wilkinson, Jeremy John, Willems, Guido Alexander, Windelband, Bernd, Winn, Michael, Wright, Josephina Rae, Wu, Wenya, Wu, Yitao, Xu, Ran, Yadav, Ankur, Yadav, Arun Kumar, Yalcin Kuzu, Serpil, Yamaguchi, Yorito, Yang, Shiming, Yano, Satoshi, Yin, Zhongbao, Yoo, In-Kwon, Yoon, Jin Hee, Yu, Hyeonjin, Yuan, Shiming, Yüncü, Alperen, Zaccolo, Valentina, Zampolli, Chiara, Zanone, Federica, Zardoshti, Nima, Zarochentsev, Andrey, Závada, Petr, Zavyalov, Nikolay, Zhalov, Mikhail, Zhang, Biao, Zhang, Chi, Zhang, Liuyao, Zhang, Song, Zhang, Xiaoming, Zhang, Yifei, Zhang, Zhen, Zhao, Mingrui, Zherebchevskii, Vladimir, Yu, Zhi, Zhou, Daicui, Zhou, You, Zhu, Jianhui, Zhu, Ya, Zugravel, Stefan Cristi, and Zurlo, Nicola
Abstract: The Chiral Magnetic Wave (CMW) phenomenon is essential to provide insights into the strong interaction in QCD, the properties of the quark-gluon plasma, and the topological characteristics of the early universe, offering a deeper understanding of fundamental physics in high-energy collisions. Measurements of the charge-dependent anisotropic flow coefficients are studied in Pb-Pb collisions at center-of-mass energy per nucleon-nucleon collision sNN−−−√= 5.02 TeV to probe the CMW. In particular, the slope of the normalized difference in elliptic (v2) and triangular (v3) flow coefficients of positively and negatively charged particles as a function of their event-wise normalized number difference, is reported for inclusive and identified particles. The slope rNorm3 is found to be larger than zero and to have a magnitude similar to rNorm2, thus pointing to a large background contribution for these measurements. Furthermore, rNorm2 can be described by a blast wave model calculation that incorporates local charge conservation. In addition, using the event shape engineering technique yields a fraction of CMW (fCMW) contribution to this measurement which is compatible with zero. This measurement provides the very first upper limit for fCMW, and in the 10-60% centrality interval it is found to be 26% (38%) at 95% (99.7%) confidence level.
Published: 2024

17. Extracting secondary data from citizen science images reveals host flower preferences of the Mexican grass‐carrying wasp Isodontia mexicana in its native and introduced ranges

Author: Pernat, Nadja, Memedemin, Daniyar, August, Tom, Preda, Cristina, Reyserhove, Lien, Schirmel, Jens, Groom, Quentin, Pernat, Nadja, Memedemin, Daniyar, August, Tom, Preda, Cristina, Reyserhove, Lien, Schirmel, Jens, and Groom, Quentin
Abstract: We investigated the plant-pollinator interactions of the Mexican grass-carrying wasp Isodontia mexicana—native to North America and introduced in Europe in the 1960s—through the use of secondary data from citizen science observations. We applied a novel data exchange workflow from two global citizen science platforms, iNaturalist and Pl@ntNet. Images from iNaturalist of the wasp were used to query the Pl@ntNet application to identify possible plant species present in the pictures. Simultaneously, botanists manually identified the plants at family, genus and species levels and additionally documented flower color and biotic interactions. The goals were to calibrate Pl@ntNet's accuracy in relation to this workflow, update the list of plant species that I. mexicana visits as well as its flower color preferences in its native and introduced ranges. In addition, we investigated the types and corresponding frequencies of other biotic interactions incidentally captured on the citizen scientists' images. Although the list of known host plants could be expanded, identifying the flora from images that predominantly show an insect proved difficult for both experts and the Pl@ntNet app. The workflow performs with a 75% probability of correct identification of the plant at the species level from a score of 0.8, and with over 90% chance of correct family and genus identification from a score of 0.5. Although the number of images above these scores may be limited due to the flower parts present on the pictures, our approach can help to get an overview into species interactions and generate more specific research questions. It could be used as a triaging method to select images for further investigation. Additionally, the manual analysis of the images has shown that the information they contain offers great potential for learning more about the ecology of an introduced species in its new range.
Published: 2024

18. ForTune: Running Offline Scenarios to Estimate Impact on Business Metrics

Author: Dupret, Georges, Sozinov, Konstantin, Gonzalez, Carmen Barcena, Zacks, Ziggy, Yuan, Amber, Carterette, Benjamin, Mai, Manuel, Bansal, Shubham, Liang, Gwo, Lien, Gatash, Andrey, Ojeda, Roberto Sanchis, Lalmas, Mounia, Dupret, Georges, Sozinov, Konstantin, Gonzalez, Carmen Barcena, Zacks, Ziggy, Yuan, Amber, Carterette, Benjamin, Mai, Manuel, Bansal, Shubham, Liang, Gwo, Lien, Gatash, Andrey, Ojeda, Roberto Sanchis, and Lalmas, Mounia
Abstract: Making ideal decisions as a product leader in a web-facing company is extremely difficult. In addition to navigating the ambiguity of customer satisfaction and achieving business goals, one must also pave a path forward for ones' products and services to remain relevant, desirable, and profitable. Data and experimentation to test product hypotheses are key to informing product decisions. Online controlled experiments by A/B testing may provide the best data to support such decisions with high confidence, but can be time-consuming and expensive, especially when one wants to understand impact to key business metrics such as retention or long-term value. Offline experimentation allows one to rapidly iterate and test, but often cannot provide the same level of confidence, and cannot easily shine a light on impact on business metrics. We introduce a novel, lightweight, and flexible approach to investigating hypotheses, called scenario analysis, that aims to support product leaders' decisions using data about users and estimates of business metrics. Its strengths are that it can provide guidance on trade-offs that are incurred by growing or shifting consumption, estimate trends in long-term outcomes like retention and other important business metrics, and can generate hypotheses about relationships between metrics at scale.
Published: 2024

19. A Linear Inverse Model for Colored-Gaussian Noise

Author: Lien, Justin, Kuo, Yan-Ning, Ando, Hiroyasu, Lien, Justin, Kuo, Yan-Ning, and Ando, Hiroyasu
Abstract: We propose a novel data-driven linear inverse model, called Colored-LIM, to extract the linear dynamics and diffusion matrix that define a linear stochastic process driven by an Ornstein-Uhlenbeck colored-noise. The Colored-LIM is a new variant of the classical linear inverse model (LIM) which relies on the white noise assumption. Similar to LIM, the Colored-LIM approximates the linear dynamics from a finite realization of a stochastic process and then solves the diffusion matrix based on, for instance, a generalized fluctuation-dissipation relation, which can be done by solving a system of linear equations. The main difficulty is that in practice, the colored-noise process can be hardly observed while it is correlated to the stochastic process of interest. Nevertheless, we show that the local behavior of the correlation function of the observable encodes the dynamics of the stochastic process and the diffusive behavior of the colored-noise. In this article, we review the classical LIM and develop Colored-LIM with a mathematical background and rigorous derivations. In the numerical experiments, we examine the performance of both LIM and Colored-LIM. Finally, we discuss some false attempts to build a linear inverse model for colored-noise driven processes, and investigate the potential misuse and its consequence of LIM in the appendices., Comment: 23 pages, 3 figures
Published: 2024

20. A Deep Learning Approach to Radar-based QPE

Author: Yo, Ting-Shuo, Su, Shih-Hao, Chu, Jung-Lien, Chang, Chiao-Wei, Kuo, Hung-Chi, Yo, Ting-Shuo, Su, Shih-Hao, Chu, Jung-Lien, Chang, Chiao-Wei, and Kuo, Hung-Chi
Abstract: In this study, we propose a volume-to-point framework for quantitative precipitation estimation (QPE) based on the Quantitative Precipitation Estimation and Segregation Using Multiple Sensor (QPESUMS) Mosaic Radar data set. With a data volume consisting of the time series of gridded radar reflectivities over the Taiwan area, we used machine learning algorithms to establish a statistical model for QPE in weather stations. The model extracts spatial and temporal features from the input data volume and then associates these features with the location-specific precipitations. In contrast to QPE methods based on the Z-R relation, we leverage the machine learning algorithms to automatically detect the evolution and movement of weather systems and associate these patterns to a location with specific topographic attributes. Specifically, we evaluated this framework with the hourly precipitation data of 45 weather stations in Taipei during 2013-2016. In comparison to the operational QPE scheme used by the Central Weather Bureau, the volume-to-point framework performed comparably well in general cases and excelled in detecting heavy-rainfall events. By using the current results as the reference benchmark, the proposed method can integrate the heterogeneous data sources and potentially improve the forecast in extreme precipitation scenarios., Comment: 22 pages, 11 figures. Published in Earth and Space Science
Published: 2024
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21. Discretization of fractional fully nonlinear equations by powers of discrete Laplacians

Author: Chowdhury, Indranil, Jakobsen, Espen Robstad, Lien, Robin Østern, Chowdhury, Indranil, Jakobsen, Espen Robstad, and Lien, Robin Østern
Abstract: We study discretizations of fractional fully nonlinear equations by powers of discrete Laplacians. Our problems are parabolic and of order $\sigma\in(0,2)$ since they involve fractional Laplace operators $(-\Delta)^{\sigma/2}$. They arise e.g.~in control and game theory as dynamic programming equations, and solutions are non-smooth in general and should be interpreted as viscosity solutions. Our approximations are realized as finite-difference quadrature approximations and are 2nd order accurate for all values of $\sigma$. The accuracy of previous approximations depend on $\sigma$ and are worse when $\sigma$ is close to $2$. We show that the schemes are monotone, consistent, $L^\infty$-stable, and convergent using a priori estimates, viscosity solutions theory, and the method of half-relaxed limits. We present several numerical examples., Comment: 19 pages, 5 figures, 1 table
Published: 2024

22. Distributed Monitoring for Data Distribution Shifts in Edge-ML Fraud Detection

Author: Karayanni, Nader, Shahla, Robert J., Hsiao, Chieh-Lien, Karayanni, Nader, Shahla, Robert J., and Hsiao, Chieh-Lien
Abstract: The digital era has seen a marked increase in financial fraud. edge ML emerged as a promising solution for smartphone payment services fraud detection, enabling the deployment of ML models directly on edge devices. This approach enables a more personalized real-time fraud detection. However, a significant gap in current research is the lack of a robust system for monitoring data distribution shifts in these distributed edge ML applications. Our work bridges this gap by introducing a novel open-source framework designed for continuous monitoring of data distribution shifts on a network of edge devices. Our system includes an innovative calculation of the Kolmogorov-Smirnov (KS) test over a distributed network of edge devices, enabling efficient and accurate monitoring of users behavior shifts. We comprehensively evaluate the proposed framework employing both real-world and synthetic financial transaction datasets and demonstrate the framework's effectiveness.
Published: 2024

23. Solving partial differential equations with sampled neural networks

Author: Datar, Chinmay, Kapoor, Taniya, Chandra, Abhishek, Sun, Qing, Burak, Iryna, Bolager, Erik Lien, Veselovska, Anna, Fornasier, Massimo, Dietrich, Felix, Datar, Chinmay, Kapoor, Taniya, Chandra, Abhishek, Sun, Qing, Burak, Iryna, Bolager, Erik Lien, Veselovska, Anna, Fornasier, Massimo, and Dietrich, Felix
Abstract: Approximation of solutions to partial differential equations (PDE) is an important problem in computational science and engineering. Using neural networks as an ansatz for the solution has proven a challenge in terms of training time and approximation accuracy. In this contribution, we discuss how sampling the hidden weights and biases of the ansatz network from data-agnostic and data-dependent probability distributions allows us to progress on both challenges. In most examples, the random sampling schemes outperform iterative, gradient-based optimization of physics-informed neural networks regarding training time and accuracy by several orders of magnitude. For time-dependent PDE, we construct neural basis functions only in the spatial domain and then solve the associated ordinary differential equation with classical methods from scientific computing over a long time horizon. This alleviates one of the greatest challenges for neural PDE solvers because it does not require us to parameterize the solution in time. For second-order elliptic PDE in Barron spaces, we prove the existence of sampled networks with $L^2$ convergence to the solution. We demonstrate our approach on several time-dependent and static PDEs. We also illustrate how sampled networks can effectively solve inverse problems in this setting. Benefits compared to common numerical schemes include spectral convergence and mesh-free construction of basis functions., Comment: 16 pages, 15 figures
Published: 2024

24. TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing

Author: Chen, Sherry X., Vaxman, Yaron, Baruch, Elad Ben, Asulin, David, Moreshet, Aviad, Lien, Kuo-Chin, Sra, Misha, Sen, Pradeep, Chen, Sherry X., Vaxman, Yaron, Baruch, Elad Ben, Asulin, David, Moreshet, Aviad, Lien, Kuo-Chin, Sra, Misha, and Sen, Pradeep
Abstract: Despite many attempts to leverage pre-trained text-to-image models (T2I) like Stable Diffusion (SD) for controllable image editing, producing good predictable results remains a challenge. Previous approaches have focused on either fine-tuning pre-trained T2I models on specific datasets to generate certain kinds of images (e.g., with a specific object or person), or on optimizing the weights, text prompts, and/or learning features for each input image in an attempt to coax the image generator to produce the desired result. However, these approaches all have shortcomings and fail to produce good results in a predictable and controllable manner. To address this problem, we present TiNO-Edit, an SD-based method that focuses on optimizing the noise patterns and diffusion timesteps during editing, something previously unexplored in the literature. With this simple change, we are able to generate results that both better align with the original images and reflect the desired result. Furthermore, we propose a set of new loss functions that operate in the latent domain of SD, greatly speeding up the optimization when compared to prior approaches, which operate in the pixel domain. Our method can be easily applied to variations of SD including Textual Inversion and DreamBooth that encode new concepts and incorporate them into the edited results. We present a host of image-editing capabilities enabled by our approach. Our code is publicly available at https://github.com/SherryXTChen/TiNO-Edit., Comment: Conference on Computer Vision and Pattern Recognition (CVPR) 2024
Published: 2024

25. Impact of Ultrasonography on Chest Compression Fraction and Survival in Patients with Out-of-hospital Cardiac Arrest

Author: Lien, Wan-Ching, Lien, Wan-Ching, Chong, Kah-Meng, Chang, Chih-Heng, Cheng, Su-Fen, Chang, Wei-Tien, Ma, Matthew Hwei-Ming, Chen, Wen-Jone, Lien, Wan-Ching, Lien, Wan-Ching, Chong, Kah-Meng, Chang, Chih-Heng, Cheng, Su-Fen, Chang, Wei-Tien, Ma, Matthew Hwei-Ming, and Chen, Wen-Jone
Abstract: Introduction: Whether ultrasonography (US) contributes to delays in chest compressions and hence a negative impact on survival is uncertain. In this study we aimed to investigate the impact of US on chest compression fraction (CCF) and patient survival. Methods: We retrospectively analyzed video recordings of the resuscitation process in a convenience sample of adult patients with non-traumatic, out-of-hospital cardiac arrest. Patients receiving US once or more during resuscitation were categorized as the US group, while the patients who did not receive US were categorized as the non-US group. The primary outcome was CCF, and the secondary outcomes were the rates of return of spontaneous circulation (ROSC), survival to admission and discharge, and survival to discharge with a favorable neurological outcome between the two groups. We also evaluated the individual pause duration and the percentage of prolonged pauses associated with US. Results: A total of 236 patients with 3,386 pauses were included. Of these patients, 190 received US and 284 pauses were related to US. Longer resuscitation duration was observed in the US group (median, 30.3 vs 9.7 minutes, P<.001). The US group had comparable CCF (93.0% vs 94.3%, P=0.29) with the non-US group. Although the non-US group had a better rate of ROSC (36% vs 52%, P=0.04), the rates of survival to admission (36% vs 48%, P=0.13), survival to discharge (11% vs 15%, P=0.37), and survival with favorable neurological outcome (5% vs 9%, P=0.23) did not differ between the two groups. The pause duration of pulse checks with US was longer than pulse checks alone (median, 8 vs 6 seconds, P=0.02). The percentage of prolonged pauses was similar between the two groups (16% vs 14%, P=0.49). Conclusion: When compared to the non-ultrasound group, patients receiving US had comparable chest compression fractions and rates of survival to admission and discharge, and survival to discharge with a favorable neurological outcome. The ind
Published: 2023

26. Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

Author: Matuozzo, D, Talouarn, E, Marchal, A, Zhang, P, Manry, J, Seeleuthner, Y, Zhang, Y, Bolze, A, Chaldebas, M, Milisavljevic, B, Gervais, A, Bastard, P, Asano, T, Bizien, L, Barzaghi, F, Abolhassani, H, Abou Tayoun, A, Aiuti, A, Alavi Darazam, I, Allende, L, Alonso-Arias, R, Arias, A, Aytekin, G, Bergman, P, Bondesan, S, Bryceson, Y, Bustos, I, Cabrera-Marante, O, Carcel, S, Carrera, P, Casari, G, Chaibi, K, Colobran, R, Condino-Neto, A, Covill, L, Delmonte, O, El Zein, L, Flores, C, Gregersen, P, Gut, M, Haerynck, F, Halwani, R, Hancerli, S, Hammarstrom, L, Hatipoglu, N, Karbuz, A, Keles, S, Kyheng, C, Leon-Lopez, R, Franco, J, Mansouri, D, Martinez-Picado, J, Metin Akcan, O, Migeotte, I, Morange, P, Morelle, G, Martin-Nalda, A, Novelli, G, Novelli, A, Palabiyik, F, Pan-Hammarstrom, Q, de Diego, R, Planas-Serra, L, Pleguezuelo, D, Prando, C, Pujol, A, Reyes, L, Riviere, J, Rodriguez-Gallego, C, Rojas, J, Rovere-Querini, P, Schluter, A, Shahrooei, M, Sobh, A, Soler-Palacin, P, Tandjaoui-Lambiotte, Y, Tipu, I, Tresoldi, C, Troya, J, van de Beek, D, Zatz, M, Zawadzki, P, Al-Muhsen, S, Alosaimi, M, Alsohime, F, Baris-Feldman, H, Butte, M, Constantinescu, S, Cooper, M, Dalgard, C, Fellay, J, Heath, J, Lau, Y, Lifton, R, Maniatis, T, Mogensen, T, von Bernuth, H, Lermine, A, Vidaud, M, Boland, A, Deleuze, J, Nussbaum, R, Kahn-Kirby, A, Mentre, F, Tubiana, S, Gorochov, G, Tubach, F, Hausfater, P, Al-Mulla, F, Anderson, M, Andreakos, E, Feldman, H, Belot, A, Biggs, C, Bogunovic, D, Bondarenko, A, Bousfiha, A, Brodin, P, Bustamante, C, Chakravorty, S, Christodoulou, J, Desai, M, Drolet, B, Baghdadi, J, Espinosa-Padilla, S, Froidure, A, Hagin, D, Henrickson, S, Hsieh, E, Husebye, E, Imai, K, Itan, Y, Jarvis, E, Karamitros, T, Kisand, K, Ku, C, Ling, Y, Lucas, C, Marodi, L, Milner, J, Mironska, K, Morio, T, Ng, L, O'Farrelly, C, Okada, S, Planas, A, Quintana-Murci, L, Renia, L, Resnick, I, Sancho-Shimizu, V, Sediva, A, Seppanen, M, Shcherbina, A, Slaby, O, Snow, A, Spaan, A, Tancevski, I, Tangye, S, Ramaswamy, S, Turvey, S, Uddin, F, Uddin, M, Vinh, D, Casanova, J, Vacher, Y, Gysembergh-Houal, A, Demerville, L, Chachoua, A, Abad, S, Abassi, R, Abdellaoui, A, Abdelmalek, A, Abdoul, H, Abergel, H, Abeud, F, Abgrall, S, Abisror, N, Adechian, M, Aderdour, N, Admane, H, Adnet, F, Afritt, S, Agostini, H, Aguilar, C, Agut, S, Aiello, T, Kaci, M, Oufella, H, Ajeenthiravasan, G, Alauzy, V, Alby-Laurent, F, Allard, L, Alyanakian, M, Borrero, B, Amam, S, Amrouche, L, Andronikof, M, Anglicheau, D, Anguel, N, Annane, D, Aounzou, M, Aparicio, C, Aratus, G, Arlet, J, Arzoine, J, Aslangul, E, Assefi, M, Aubry, A, Audiffred, L, Audureau, E, Auger, C, Auregan, J, Awotar, C, Milla, S, Azan, D, Azemar, L, Azzouguen, B, Elrufaai, M, Badsi, A, Bakouboula, P, Balcerowiak, C, Balde, F, Baldivia, E, Bangamingo, E, Baptiste, A, Baran-Marszak, F, Barau, C, Barget, N, Baronnet, F, Barthelemy, R, Baudel, J, Baudry, C, Baudry, E, Beaugerie, L, Belamri, A, Belaube, N, Belilita, R, Bellassen, P, Belmokhtar, R, Beltran, I, Benainous, R, Benallaoua, M, Benamouzig, R, Benbara, A, Benhida, J, Benkhelouf, A, Benlagha, J, Benmostafa, C, Benothmane, S, Bentifraouine, M, Berard, L, Bernier, Q, Berti, E, Bertier, A, Berton, L, Bessis, S, Beurton, A, Bianco, C, Bianquis, C, Bidar, F, Blanche, P, Blayau, C, Bleibtreu, A, Blin, E, Bloch-Queyrat, C, Boissier, M, Bollens, D, Bolzoni, M, Bompard, R, Bonnet, N, Bonnouvrier, J, Botha, S, Boucenna, W, Bouchama, F, Bouchaud, O, Bouchghoul, H, Boudjebla, T, Boudjema, N, Bouffard, C, Bougle, A, Bouguerra, M, Bouras, L, Bourcier, A, Durand, A, Bourrier, A, Bouscarat, F, Bouvry, D, Bouziri, N, Bouzrara, O, Bribier, S, Brugier, D, Brunel, M, Bui, E, Buisson, A, Bukreyeva, I, Bureau, C, Cadranel, J, Cailhol, J, Calin, R, Vega, C, Canavaggio, P, Cancella, M, Cantin, D, Cao, A, Carbillon, L, Carlier, N, Cassard, C, Castor, G, Cauchy, M, Cha, O, Chaigne, B, Challal, S, Champion, K, Chariot, P, Chas, J, Chauveau, S, Chauvin, A, Chauvin, C, Chavarot, N, Chebbout, K, Cherai, M, Cherubini, I, Chevalier, A, Chiarabini, T, Chinet, T, Chocron, R, Choinier, P, Chommeloux, J, Choquet, C, Choupeaux, L, Chousterman, B, Ciocan, D, Clarke, A, Clavere, G, Clavier, F, Clement, K, Clerc, S, Cohen, Y, Cohen, F, Cohen, A, Coilly, A, Colboc, H, Colin, P, Collet, M, Comarmond, C, Combacon, E, Combes, A, Comparon, C, Constantin, J, Cordel, H, Cordier, A, Costantini, A, Chalumeau, N, Couffignal, C, Coupeau, D, Creange, A, Lamarre, Y, Da Silveira, C, Kayani, S, De Castro, N, De Rycke, Y, Del Pozo, L, Delannoy, Q, Delay, M, Deleris, R, Delforge, J, Delphine, L, Demare, N, Demeret, S, Demoule, A, Deniau, A, Depret, F, Derolez, S, Derradji, O, Derridj, N, Descamps, V, Deschamps, L, Desconclois, C, Desnos, C, Desongins, K, Dhote, R, Diallo, B, Didier, M, Diemer, M, Diez, S, Djadi-Prat, J, Monnory, F, Djebara, S, Djebra, N, Djietcheu, M, Djillali, H, Djouadi, N, Donneger, S, Dos Santos, C, Dournon, N, Dres, M, Droctove, L, Drogrey, M, Dropy, M, Drouet, E, Dubosq, V, Dubreucq, E, Dubus, E, Duchemann, B, Duchenoy, T, Dudoignon, E, Dufau, R, Dumas, F, Duran, C, Duron, E, Durrbach, A, Duvivier, C, Ebstein, N, Khalifa, J, Elabbadi, A, Elie, C, Ernotte, G, Esling, A, Etienne, M, Eyer, X, Fartoukh, M, Fayali, T, Fermaut, M, Fiorentino, A, Fliss, S, Fournier, M, Fournier, B, Francois, H, Freynet, O, Frigout, Y, Fromont, I, Fuentes, A, Furet, T, Galand, J, Garnier, M, Gaubert, A, Gaudry, S, Gaugain, S, Gauthier, D, Gautier, M, Georgin-Lavialle, S, Geromin, D, Ghalayini, M, Ghaleh, B, Ghezal, M, Gibelin, A, Gimeno, L, Girard, B, Leprieur, B, Gomes, D, Gomes-Pires, E, Gouge, A, Gouja, A, Goulet, H, Goupil, S, De Bouille, J, Gras, J, Greffe, S, Grimaldi, L, Guedeney, P, Guidet, B, Guillo, M, Gulczynski, M, Hadjam, T, Haguenauer, D, Hammal, S, Hammoudi, N, Hanon, O, Harrois, A, Hautem, C, Hekimian, G, Heming, N, Hermine, O, Ho, S, Houllier, M, Huot, B, Huscenot, T, Saied, W, Ikherbane, G, Imarazene, M, Ingiliz, P, Iratni, L, Jaureguiberry, S, Jean-Marc, J, Jeyarajasingham, D, Jouany, P, Jouis, V, Jourdaine, C, Kafif, O, Kallala, R, Katsahian, S, Kelesyan, L, Keo, V, Ketz, F, Khamis, W, Khelili, E, Khellaf, M, Youkou, C, Kounis, I, Kpalma, G, Krause, J, Labbe, V, Lacombe, K, Lacorte, J, Lafont, A, Lafont, E, Lagha, L, Lamhaut, L, Lancelot, A, Landman, C, Lanternier, F, Larcheveque, C, Combe, C, Lassel, L, Laverdant, B, Lavergne, C, Lavillegrand, J, Lazureanu, P, Le Guennec, L, Leberre, L, Leblanc, C, Leboyer, M, Lecomte, F, Lecorre, M, Leenhardt, R, Lefebvre, M, Lefebvre, B, Legendre, P, Leger, A, Legros, L, Legrosse, J, Lehuunghia, S, Lemarec, J, Leporrier-Ext, J, Lesein, M, Lesur, H, Levy, V, Levy, A, Lopes, E, Lopes, A, Lopez, V, Lopinto, J, Lortholary, O, Louadah, B, Loze, B, Lucas, M, Lucasamichi, A, Luong, L, Magazimama-Ext, A, Maingret, D, Mameri, L, Manivet, P, Mansouri, C, Marcault, E, Marey, J, Marin, N, Marois, C, Martin, O, Martineau, L, Martinez-Lopez, C, Martyniuck, P, De Farcy, P, Marzouk, N, Masmoudi, R, Mebazaa, A, Mechai, F, Mecozzi, F, Mediouni, C, Megarbane, B, Meghadecha, M, Mejean, E, Mekinian, A, Abdelhadi, N, Mekni, R, Meliti, T, Lima, B, Meng, P, Merbah, S, Messani, F, Messaoudi, Y, Mewasing, B, Meziane, L, Michelot-Burger, C, Mignot, F, Minka, F, Miyara, M, Moine, P, Molina, J, Montegnies-Boulet, A, Monti, A, Montlahuc, C, Montout, A, Moores, A, Morbieu, C, Mortelette, H, Mouly, S, Muzaffar, R, Nacerddine, C, Nadal, M, Nadif, H, Nassarmadji, K, Natella, P, Ndingamondze, S, Neraal, S, Nguyen, C, N'Guyen, B, Larmurier, I, Nlomenyengue, L, Noel, N, Nunes, H, Omar, E, Ouazene, Z, Ouedraogo, E, Ouelaa, W, Oukhedouma, A, Amara, Y, Oya, H, Oziel, J, Padilla, T, Paillaud, E, Paiva, S, Parfait, B, Parize, P, Parizot, C, Parrot, A, Pavot, A, Peaudecerf, L, Pene, F, Pepin, M, Pernet, J, Pernin, C, Petit, M, Peyrony, O, Pietri, M, Pietri, O, De Chambrun, M, Pinson, M, Pintado, C, Pires, C, Planquette, B, Poirier, S, Pomel, A, Pons, S, Ponscarme, D, Pourcelot, A, Pourcher, V, Pouvaret, A, Prever, F, Previlon, M, Prevost, M, Provoost, M, Quemeneur, C, Rafat, C, Rami, A, Ranque, B, Raphael, M, Raphalen, J, Rastoin, A, Raux, M, Rebai, A, Reby, M, Regent, A, Regrag, A, Resche-Rigon, M, Ressaire, Q, Richard, C, Richard, M, Robert, M, Rohaut, B, Rolland-Debord, C, Ropers, J, Roque-Afonso, A, Rosso, C, Rousseaux, M, Rousseaux, N, Roux, S, Roux, L, Rouzaud, C, Rozes, A, Rubenstein, E, Sabate, J, Sabet, S, Sacleux, S, Kermanach, N, Saliba, F, Salmon, D, Savale, L, Savary, G, Sberro, R, Scemla, A, Schlemmer, F, Schwartz, M, Sedfi, S, Sefir-Kribel, S, Seksik, P, Sellier, P, Selves, A, Sembach, N, Semerano, L, Senat, M, Sene, D, Serris, A, Sese, L, Sghiouar, N, Sigaux, J, Siguier, M, Silvain, J, Simon, N, Simon, T, Skandri, L, Slimani, M, Snauwaert, A, Sokol, H, Soliman, H, Soltani, N, Soyer, B, Steg, G, Suarez, L, Szwebel, T, Taffame, K, Tantet, C, Tateo, M, Theodose, I, Thiebaud, P, Thomas, C, Tiercelet, K, Tisserand, J, Tomczak, C, Torelino, K, Touam-Ext, F, Toumi, L, Toury, G, Toy-Miou, M, Lien, O, Trandinh, A, Treluyer, J, Trinque, B, Truchot, J, Tunesi, S, Turpin, M, Turpin, A, Urbina, T, Narvaez, R, Uzunhan, Y, Vaittinadaayar, P, Valent, A, Valentian, M, Valin, N, Vallet, H, Vaz, M, Vazquezibarra, M, Vedie, B, Velly, L, Verstuyft, C, Viallette, C, Vicaut, E, Vignes, D, Vimpere, D, Virlouvet, M, Voiriot, G, Voisot, L, Weiss, E, Weiss, N, Winchenne, A, Yordanov, Y, Zafrani, L, Zaidan, M, Zaidi, W, Zak, C, Zarhrate-Ghoul, A, Zatout, O, Zeino, S, Zeitouni, M, Zemirli, N, Zerah, L, Zia, O, Ziol, M, Zolario, O, Zuber, J, Andrejak, C, Angoulvant, F, Bachelet, D, Bartoli, M, Basmaci, R, Behilill, S, Beluze, M, Benkerrou, D, Bhavsar, K, Bouadma, L, Bouchez, S, Bouscambert, M, Cervantes-Gonzalez, M, Chair, A, Coelho, A, D'Ortenzio, E, Debray, M, Deconinck, L, Deplanque, D, Descamps, D, Desvallee, M, Diallo, A, Diouf, A, Dorival, C, Dubos, F, Duval, X, Elharrar, B, Eloy, P, Enouf, V, Esperou, H, Esposito-Farese, M, Devouge, E, Gault, N, Gaymard, A, Ghosn, J, Gigante, T, Gilg, M, Guedj, J, Hoctin, A, Hoffmann, I, Houas, I, Hulot, J, Jaafoura, S, Kaguelidou, F, Kali, S, Khalil, A, Khan, C, Laouenan, C, Laribi, S, Le, M, Le Hingrat, Q, Le Mestre, S, Le Nagard, H, Lescure, F, Levy, Y, Lingas, G, Lucet, J, Malvy, D, Mambert, M, Meziane, A, Mouquet, H, Mullaert, J, Neant, N, Nguyen, D, Noret, M, Nseir, S, Papadopoulos, A, Paul, C, Peiffer-Smadja, N, Perpoint, T, Petrov-Sanchez, V, Peytavin, G, Pham, H, Picone, O, Puechal, O, Rabaud, C, Rosa-Calatrava, M, Rossignol, B, Rossignol, P, Roy, C, Schneider, M, Su, R, Tardivon, C, Tellier, M, Teoule, F, Terrier, O, Timsit, J, Tual, C, Van Der Werf, S, Vanel, N, Veislinger, A, Visseaux, B, Wiedemann, A, Yazdanpanah, Y, Alavoine, L, Behillil, S, Burdet, C, Charpentier, C, Dechanet, A, Ecobichon, J, Frezouls, W, Houhou, N, Lehacaut, J, Letrou, S, Lina, B, Manchon, P, Nouroudine, M, Piquard, V, Quintin, C, Thy, M, Vignali, V, Chahine, A, Waucquier, N, Migaud, M, Djossou, F, Mergeay-Fabre, M, Lucarelli, A, Demar, M, Bruneau, L, Gerardin, P, Maillot, A, Payet, C, Laviolle, B, Laine, F, Paris, C, Desille-Dugast, M, Fouchard, J, Pistone, T, Perreau, P, Gissot, V, Goas, C, Montagne, S, Richard, L, Chirouze, C, Bouiller, K, Desmarets, M, Meunier, A, Bourgeon, M, Lefevre, B, Jeulin, H, Legrand, K, Lomazzi, S, Tardy, B, Gagneux-Brunon, A, Bertholon, F, Botelho-Nevers, E, Christelle, K, Nicolas, L, Roufai, L, Amat, K, Couffin-Cadiergues, S, Hendou, S, Foti, G, Bellani, G, Citerio, G, Contro, E, Pesci, A, Valsecchi, M, Cazzaniga, M, Abad, J, Accordino, G, Achille, C, Aguilera-Albesa, S, Aguilo-Cucurull, A, Ozkan, E, Albisures, J, Aldave, J, Ramos, M, Khan, T, Aliberti, A, Nadji, S, Alkan, G, Alkhater, S, Allardet-Servent, J, Alshahrani, M, Alsina, L, Amoura, Z, Antoli, A, Arrestier, R, Aubart, M, Auguet, T, Avramenko, I, Azot, A, Bahram, S, Bajolle, F, Baldanti, F, Baldolli, A, Ballester, M, Barrou, B, Basso, S, Bayhan, G, Bezrodnik, L, Bilbao, A, Blanchard-Rohner, G, Blanco, I, Blandinieres, A, Blazquez-Gamero, D, Bloomfield, M, Bolivar-Prados, M, Borghesi, A, Borie, R, Botdhlo-Nevers, E, Bousquet, A, Boutolleau, D, Bouvattier, C, Boyarchuk, O, Bravais, J, Briones, M, Brunner, M, Bruno, R, Bueno, M, Bukhari, H, Bustamante, J, Agra, J, Capra, R, Carapito, R, Carrabba, M, Casasnovas, C, Caseris, M, Cassaniti, I, Castelle, M, Castelli, F, de Vera, M, Castro, M, Catherinot, E, Celik, J, Ceschi, A, Chalumeau, M, Charbit, B, Cheng, M, Clave, P, Clotet, B, Codina, A, Comoli, P, Corsico, A, Sozeri, B, Coskuner, T, Cvetkovski, A, Cyrus, C, Dalmau, D, Danion, F, Darley, D, Das, V, Dauby, N, Dauger, S, De Munter, P, de Pontual, L, Dehban, A, Delplancq, G, Desguerre, I, Di Sabatino, A, Diehl, J, Dobbelaere, S, Dominguez-Garrido, E, Dubost, C, Ekwall, O, Bozdemir, S, Elnagdy, M, Emiroglu, M, Endo, A, Erdeniz, E, Aytekin, S, Lasa, M, Euvrard, R, Fabio, G, Faivre, L, Falck, A, Faure, M, Arquero, M, Ferrer, R, Ferreres, J, Francois, B, Fumado, V, Fung, K, Fusco, F, Gagro, A, Solis, B, Garcon, P, Gaussem, P, Gayretli, Z, Gil-Herrera, J, Gilardin, L, Gatineau, A, Girona-Alarcon, M, Godinez, K, Goffard, J, Gonzales, N, Gonzalez-Granado, L, Gonzalez-Montelongo, R, Guerder, A, Gulhan, B, Gumucio, V, Hanitsch, L, Gunst, J, Hadjadj, J, Hariyan, T, Heppekcan, D, Hernandez-Brito, E, Ho, P, Holanda-Pena, M, Horcajada, J, Hraiech, S, Humbert, L, Hung, I, Iglesias, A, Inigo-Campos, A, Jamme, M, Arranz, M, Jimeno, M, Jordan, I, Yuksek, S, Kara, Y, Karahan, A, Yasar, K, Kasapcopur, O, Kashimada, K, Demirkol, Y, Kido, Y, Kizil, C, Kilic, A, Klocperk, A, Koutsoukou, A, Krol, Z, Ksouri, H, Kuentz, P, Kwan, A, Kwan, Y, Kwok, J, Lagier, J, Lam, D, Lampropoulou, V, Le Bourgeois, F, Leo, Y, Leung, D, Levin, M, Levy, M, Levy, R, Li, Z, Lilleri, D, Lima, E, Linglart, A, Lopez-Collazo, E, Lorenzo-Salazar, J, Louapre, C, Lubetzki, C, Lung, K, Luyt, C, Lye, D, Magnone, C, Marchioni, E, Marioli, C, Marjani, M, Marques, L, Pereira, J, Pueyo, D, Marzana, I, Mata-Martinez, C, Mathian, A, Matos, L, Matthews, G, Mayaux, J, McLaughlin-Garcia, R, Meersseman, P, Mege, J, Mekontso-Dessap, A, Melki, I, Meloni, F, Meritet, J, Merlani, P, Akcan, O, Mezidi, M, Millereux, M, Million, M, Mirault, T, Mircher, C, Mirsaeidi, M, Mizoguchi, Y, Modi, B, Mojoli, F, Moncomble, E, Melian, A, Martinez, A, Morandeira, F, Mordacq, C, Munoz-Barrera, A, Nafati, C, Nagashima, S, Nakagama, Y, Neven, B, Neves, J, Ng, Y, Nielly, H, Medina, Y, Cuadros, E, Ocejo-Vinyals, J, Okamoto, K, Oualha, M, Ouedrani, A, Ozcelik, T, Ozkaya-Parlakay, A, Pagani, M, Papadaki, M, Parola, P, Pascreau, T, Paul, S, Paz-Artal, E, Pedraza, S, Pellecer, N, Pellegrini, S, Perez-Fernandez, X, Philippe, A, Philippot, Q, Picod, A, Piralla, A, Ploin, D, Poissy, J, Poncelet, G, Poulakou, G, Pouletty, M, Pourshahnazari, P, Qiu-Chen, J, Quentric, P, Rambaud, T, Raoult, D, Raoult, V, Rebillat, A, Redin, C, Resmini, L, Ricart, P, Richard, J, Rigo-Bonnin, R, Rivet, N, Rocamora-Blanch, G, Rodero, M, Rodrigo, C, Rodriguez, L, Rodriguez-Palmero, A, Romero, C, Rothenbuhler, A, Roux, D, Rovina, N, Rozenberg, F, Ruch, Y, Ruiz, M, del Prado, M, Ruiz-Rodriguez, J, Sabater-Riera, J, Saks, K, Salagianni, M, Sanchez, O, Sanchez-Montalva, A, Sanchez-Ramon, S, Schidlowski, L, Schmidt, J, Schmidt, M, Schuetz, C, Schweitzer, C, Scolari, F, Seijo, L, Seminario, A, Seng, P, Senoglu, S, Llovich, A, Siguret, V, Siouti, E, Smadja, D, Smith, N, Solanich, X, Sole-Violan, J, Soler, C, Stella, G, Stepanovskiy, Y, Stoclin, A, Taccone, F, Taupin, J, Tavernier, S, Tello, L, Terrier, B, Thiery, G, Thorball, C, Thorn, K, Thumerelle, C, Tolstrup, M, Tomasoni, G, Toubiana, J, Alvarez, J, Triantafyllia, V, Trouillet-Assant, S, Tsang, O, Tserel, L, Tso, E, Tucci, A, Oz, S, Ursini, M, Utsumi, T, Vabres, P, Valencia-Ramos, J, Van Den Rym, A, Vandernoot, I, Velez-Santamaria, V, Veliz, S, Vidigal, M, Viel, S, Villain, C, Vilaire-Meunier, M, Villar-Garcia, J, Vincent, A, Volokha, A, Vuotto, F, Wauters, E, Wauters, J, Wu, A, Wu, T, Yahsi, A, Yesilbas, O, Yildiz, M, Young, B, Yukselmis, U, Zecca, M, Zuccaro, V, Van Praet, J, Lambrecht, B, Van Braeckel, E, Bosteels, C, Hoste, L, Hoste, E, Bauters, F, De Clercq, J, Heijmans, C, Slabbynck, H, Naesens, L, Florkin, B, Boulanger, C, Vanderlinden, D, Berkell, M, Carelli, V, Malhotra, S, Mattiaccio, A, Pippucci, T, Seri, M, Tacconelli, E, van Agtmael, M, Algera, A, Appelman, B, van Baarle, F, Bax, D, Beudel, M, Bogaard, H, Bomers, M, Bonta, P, Bos, L, Botta, M, de Brabander, J, de Bree, G, de Bruin, S, Buis, D, Bugiani, M, Bulle, E, Cloherty, O, Dijkstra, M, Dongelmans, D, Dujardin, R, Elbers, P, Fleuren, L, Geijtenbeek, S, Girbes, A, Goorhuis, B, Grobusch, M, Hafkamp, F, Hagens, L, Hamann, J, Harris, V, Hemke, R, Heunks, S, Hollmann, M, Horn, J, Hovius, J, de Jong, M, Koning, R, Lim, E, van Mourik, N, Nellen, J, Nossent, E, Paulus, F, Peters, E, Pina-Fuentes, D, van der Poll, T, Preckel, B, Prins, J, Raasveld, J, Reijnders, T, de Rotte, M, Schinkel, M, Schultz, M, Schrauwen, F, Schuurmans, A, Schuurmans, J, Sigaloff, K, Slim, M, Smeele, P, Smit, M, Stijnis, C, Stilma, W, Teunissen, C, Thoral, P, Tsonas, A, Tuinman, P, van der Valk, M, Veelo, D, Volleman, C, de Vries, H, Vught, L, van Vugt, M, Wouters, D, Zwinderman, A, Brouwer, M, Wiersinga, W, Vlaar, A, Tompkins, M, Alba, C, Hupalo, D, Rosenberger, J, Sukumar, G, Wilkerson, M, Zhang, X, Lack, J, Oler, A, Dobbs, K, Danielson, J, Biondi, A, Bettini, L, D'Angio', M, Beretta, I, Imberti, L, Sottini, A, Quaresima, V, Quiros-Roldan, E, Rossi, C, Meyts, I, Zhang, S, Puel, A, Notarangelo, L, Boisson-Dupuis, S, Su, H, Boisson, B, Jouanguy, E, Zhang, Q, Abel, L, Cobat, A, Matuozzo D., Talouarn E., Marchal A., Zhang P., Manry J., Seeleuthner Y., Zhang Y., Bolze A., Chaldebas M., Milisavljevic B., Gervais A., Bastard P., Asano T., Bizien L., Barzaghi F., Abolhassani H., Abou Tayoun A., Aiuti A., Alavi Darazam I., Allende L. M., Alonso-Arias R., Arias A. A., Aytekin G., Bergman P., Bondesan S., Bryceson Y. T., Bustos I. G., Cabrera-Marante O., Carcel S., Carrera P., Casari G., Chaibi K., Colobran R., Condino-Neto A., Covill L. E., Delmonte O. M., El Zein L., Flores C., Gregersen P. K., Gut M., Haerynck F., Halwani R., Hancerli S., Hammarstrom L., Hatipoglu N., Karbuz A., Keles S., Kyheng C., Leon-Lopez R., Franco J. L., Mansouri D., Martinez-Picado J., Metin Akcan O., Migeotte I., Morange P. -E., Morelle G., Martin-Nalda A., Novelli G., Novelli A., Palabiyik F., Pan-Hammarstrom Q., de Diego R. P., Planas-Serra L., Pleguezuelo D. E., Prando C., Pujol A., Reyes L. F., Riviere J. G., Rodriguez-Gallego C., Rojas J., Rovere-Querini P., Schluter A., Shahrooei M., Sobh A., Soler-Palacin P., Tandjaoui-Lambiotte Y., Tipu I., Tresoldi C., Troya J., van de Beek D., Zatz M., Zawadzki P., Al-Muhsen S. Z., Alosaimi M. F., Alsohime F. M., Baris-Feldman H., Butte M. J., Constantinescu S. N., Cooper M. A., Dalgard C. L., Fellay J., Heath J. R., Lau Y. -L., Lifton R. P., Maniatis T., Mogensen T. H., von Bernuth H., Lermine A., Vidaud M., Boland A., Deleuze J. -F., Nussbaum R., Kahn-Kirby A., Mentre F., Tubiana S., Gorochov G., Tubach F., Hausfater P., Al-Muhsen S., Al-Mulla F., Anderson M. S., Andreakos E., Feldman H. B., Belot A., Biggs C. M., Bogunovic D., Bondarenko A., Bousfiha A. A., Brodin P., Bustamante C. D., Chakravorty S., Christodoulou J., Desai M., Drolet B. A., Baghdadi J. E., Espinosa-Padilla S., Froidure A., Hagin D., Henrickson S. E., Hsieh E. W. Y., Husebye E., Imai K., Itan Y., Jarvis E. D., Karamitros T., Kisand K., Ku C. -L., Ling Y., Lucas C. L., Marodi L., Milner J. D., Mironska K., Morio T., Ng L. F. P., O'Farrelly C., Okada S., Planas A. M., Quintana-Murci L., Renia L., Resnick I., Sancho-Shimizu V., Sediva A., Seppanen M. R. J., Shcherbina A., Slaby O., Snow A. L., Spaan A. N., Tancevski I., Tangye S. G., Ramaswamy S., Turvey S. E., Uddin F., Uddin M. J., Vinh D. 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E., De Castro N., De Rycke Y., Del Pozo L., Delannoy Q., Delay M., Deleris R., Delforge J., Delphine L., Demare N., Demeret S., Demoule A., Deniau A., Depret F., Derolez S., Derradji O., Derridj N., Descamps V., Deschamps L., Desconclois C., Desnos C., Desongins K., Dhote R., Diallo B., Didier M., Diemer M., Diez S., Djadi-Prat J., Monnory F. -Z. D., Djebara S., Djebra N., Djietcheu M., Djillali H., Djouadi N., Donneger S., Dos Santos C., Dournon N., Dres M., Droctove L., Drogrey M., Dropy M., Drouet E., Dubosq V., Dubreucq E., Dubus E., Duchemann B., Duchenoy T., Dudoignon E., Dufau R., Dumas F., Duran C., Duron E., Durrbach A., Duvivier C., Ebstein N., Khalifa J. 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I., Ikherbane G., Imarazene M., Ingiliz P., Iratni L., Jaureguiberry S., Jean-Marc J. -F., Jeyarajasingham D., Jouany P., Jouis V., Jourdaine C., Kafif O., Kallala R., Katsahian S., Kelesyan L., Keo V., Ketz F., Khamis W., Khelili E., Khellaf M., Youkou C. G. K., Kounis I., Kpalma G., Krause J., Labbe V., Lacombe K., Lacorte J. -M., Lafont A. G., Lafont E., Lagha L., Lamhaut L., Lancelot A., Landman C., Lanternier F., Larcheveque C., Combe C. L., Lassel L., Laverdant B., Lavergne C., Lavillegrand J. -R., Lazureanu P., Le Guennec L., Leberre L., Leblanc C., Leboyer M., Lecomte F., Lecorre M., Leenhardt R., Lefebvre M., Lefebvre B., Legendre P., Leger A., Legros L., Legrosse J., Lehuunghia S., Lemarec J., Leporrier-Ext J., Lesein M., Lesur H., Levy V., Levy A., Lopes E., Lopes A., Lopez V., Lopinto J., Lortholary O., Louadah B., Loze B., Lucas M. -L., Lucasamichi A., Luong L. B., Magazimama-Ext A., Maingret D., Mameri L., Manivet P., Mansouri C., Marcault E., Marey J., Marin N., Marois C., Martin O., Martineau L., Martinez-Lopez C., Martyniuck P., De Farcy P. M., Marzouk N., Masmoudi R., Mebazaa A., Mechai F., Mecozzi F., Mediouni C., Megarbane B., Meghadecha M., Mejean E., Mekinian A., Abdelhadi N. M., Mekni R., Meliti T. S., Lima B. M., Meng P., Merbah S., Messani F., Messaoudi Y., Mewasing B. -I., Meziane L., Michelot-Burger C., Mignot F., Minka F. H., Miyara M., Moine P., Molina J. -M., Montegnies-Boulet A., Monti A., Montlahuc C., Montout A. -L., Moores A., Morbieu C., Mortelette H., Mouly S., Muzaffar R., Nacerddine C. I., Nadal M., Nadif H., Nassarmadji K., Natella P., Ndingamondze S., Neraal S., Nguyen C., N'Guyen B., Larmurier I. N., Nlomenyengue L., Noel N., Nunes H., Omar E., Ouazene Z., Ouedraogo E., Ouelaa W., Oukhedouma A., Amara Y. O., Oya H., Oziel J., Padilla T., Paillaud E., Paiva S., Parfait B., Parize P., Parizot C., Parrot A., Pavot A., Peaudecerf L., Pene F., Pepin M., Pernet J., Pernin C., Petit M., Peyrony O., Pietri M. -P., Pietri O., De Chambrun M. P., Pinson M., Pintado C., Pires C., Planquette B., Poirier S., Pomel A. -L., Pons S., Ponscarme D., Pourcelot A., Pourcher V., Pouvaret A., Prever F., Previlon M., Prevost M., Provoost M. -J., Quemeneur C., Rafat C., Rami A., Ranque B., Raphael M., Raphalen J. H., Rastoin A., Raux M., Rebai A., Reby M., Regent A., Regrag A., Resche-Rigon M., Ressaire Q., Richard C., Richard M., Robert M., Rohaut B., Rolland-Debord C., Ropers J., Roque-Afonso A. -M., Rosso C., Rousseaux M., Rousseaux N., Roux S., Roux L., Rouzaud C., Rozes A., Rubenstein E., Sabate J. -M., Sabet S., Sacleux S. -C., Kermanach N. S., Saliba F., Salmon D., Savale L., Savary G., Sberro R., Scemla A., Schlemmer F., Schwartz M., Sedfi S., Sefir-Kribel S., Seksik P., Sellier P., Selves A., Sembach N., Semerano L., Senat M. -V., Sene D., Serris A., Sese L., Sghiouar N., Sigaux J., Siguier M., Silvain J., Simon N., Simon T., Skandri L. I., Slimani M., Snauwaert A., Sokol H., Soliman H., Soltani N., Soyer B., Steg G., Suarez L., Szwebel T. -A., Taffame K., Tantet C., Tateo M., Theodose I., Thiebaud P., Thomas C., Tiercelet K., Tisserand J., Tomczak C., Torelino K., Touam-Ext F., Toumi L., Toury G., Toy-Miou M., Lien O. T. D. T., Trandinh A., Treluyer J. -M., Trinque B., Truchot J., Tunesi S., Turpin M., Turpin A., Urbina T., Narvaez R. U., Uzunhan Y., Vaittinadaayar P., Valent A., Valentian M., Valin N., Vallet H., Vaz M., Vazquezibarra M. -A., Vedie B., Velly L., Verstuyft C., Viallette C., Vicaut E., Vignes D., Vimpere D., Virlouvet M., Voiriot G., Voisot L., Weiss E., Weiss N., Winchenne A., Yordanov Y., Zafrani L., Zaidan M., Zaidi W., Zak C., Zarhrate-Ghoul A., Zatout O., Zeino S., Zeitouni M., Zemirli N., Zerah L., Zia O., Ziol M., Zolario O., Zuber J., Andrejak C., Angoulvant F., Bachelet D., Bartoli M., Basmaci R., Behilill S., Beluze M., Benkerrou D., Bhavsar K., Bouadma L., Bouchez S., Bouscambert M., Cervantes-Gonzalez M., Chair A., Coelho A., d'Ortenzio E., Debray M. -P., Deconinck L., Deplanque D., Descamps D., Desvallee M., Diallo A., Diouf A., Dorival C., Dubos F., Duval X., Elharrar B., Eloy P., Enouf V., Esperou H., Esposito-Farese M., Devouge E. F., Gault N., Gaymard A., Ghosn J., Gigante T., Gilg M., Guedj J., Hoctin A., Hoffmann I., Houas I., Hulot J. -S., Jaafoura S., Kaguelidou F., Kali S., Khalil A., Khan C., Laouenan C., Laribi S., Le M., Le Hingrat Q., Le Mestre S., Le Nagard H., Lescure F. -X., Levy Y., Lingas G., Lucet J. C., Malvy D., Mambert M., Meziane A., Mouquet H., Mullaert J., Neant N., Nguyen D., Noret M., Nseir S., Papadopoulos A., Paul C., Peiffer-Smadja N., Perpoint T., Petrov-Sanchez V., Peytavin G., Pham H., Picone O., Puechal O., Rabaud C., Rosa-Calatrava M., Rossignol B., Rossignol P., Roy C., Schneider M., Su R., Tardivon C., Tellier M. -C., Teoule F., Terrier O., Timsit J. -F., Tual C., Van Der Werf S., Vanel N., Veislinger A., Visseaux B., Wiedemann A., Yazdanpanah Y., Alavoine L., Behillil S., Burdet C., Charpentier C., Dechanet A., Ecobichon J. -L., Frezouls W., Houhou N., Lehacaut J., Letrou S., Lina B., Manchon P., Nouroudine M., Piquard V., Quintin C., Thy M., Vignali V., Chahine A., Waucquier N., Migaud M. -C., Djossou F., Mergeay-Fabre M., Lucarelli A., Demar M., Bruneau L., Gerardin P., Maillot A., Payet C., Laviolle B., Laine F., Paris C., Desille-Dugast M., Fouchard J., Pistone T., Perreau P., Gissot V., Goas C. L. E., Montagne S., Richard L., Chirouze C., Bouiller K., Desmarets M., Meunier A., Bourgeon M., Lefevre B., Jeulin H., Legrand K., Lomazzi S., Tardy B., Gagneux-Brunon A., Bertholon F., Botelho-Nevers E., Christelle K., Nicolas L., Roufai L., Amat K., Couffin-Cadiergues S., Hendou S., Foti G., Bellani G., Citerio G., Contro E., Pesci A., Valsecchi M. G., Cazzaniga M., Abad J., Accordino G., Achille C., Aguilera-Albesa S., Aguilo-Cucurull A., Ozkan E. A., Albisures J. A. R., Aldave J. C., Ramos M. A., Khan T. A., Aliberti A., Nadji S. A., Alkan G., AlKhater S. A., Allardet-Servent J., Alshahrani M. S., Alsina L., Amoura Z., Antoli A., Arrestier R., Aubart M., Auguet T., Avramenko I., Azot A., Bahram S., Bajolle F., Baldanti F., Baldolli A., Ballester M., Barrou B., Basso S., Bayhan G. I., Bezrodnik L., Bilbao A., Blanchard-Rohner G., Blanco I., Blandinieres A., Blazquez-Gamero D., Bloomfield M., Bolivar-Prados M., Borghesi A., Borie R., Botdhlo-Nevers E., Bousquet A., Boutolleau D., Bouvattier C., Boyarchuk O., Bravais J., Briones M. L., Brunner M. -E., Bruno R., Bueno M. R. P., Bukhari H., Bustamante J., Agra J. J. C., Capra R., Carapito R., Carrabba M., Casasnovas C., Caseris M., Cassaniti I., Castelle M., Castelli F., de Vera M. C., Castro M. V., Catherinot E., Celik J. B., Ceschi A., Chalumeau M., Charbit B., Cheng M. P., Clave P., Clotet B., Codina A., Comoli P., Corsico A. G., Sozeri B., Coskuner T., Cvetkovski A., Cyrus C., Dalmau D., Danion F., Darley D. R., Das V., Dauby N., Dauger S., De Munter P., de Pontual L., Dehban A., Delplancq G., Desguerre I., Di Sabatino A., Diehl J. -L., Dobbelaere S., Dominguez-Garrido E., Dubost C., Ekwall O., Bozdemir S. E., Elnagdy M. H., Emiroglu M., Endo A., Erdeniz E. H., Aytekin S. E., Lasa M. P. E., Euvrard R., Fabio G., Faivre L., Falck A., Faure M., Arquero M. F., Ferrer R., Ferreres J., Francois B., Fumado V., Fung K. S. C., Fusco F., Gagro A., Solis B. G., Garcon P., Gaussem P., Gayretli Z., Gil-Herrera J., Gilardin L., Gatineau A. G., Girona-Alarcon M., Godinez K. A. C., Goffard J. -C., Gonzales N., Gonzalez-Granado L. I., Gonzalez-Montelongo R., Guerder A., Gulhan B., Gumucio V. D., Hanitsch L. G., Gunst J., Hadjadj J., Hariyan T., Heppekcan D., Hernandez-Brito E., Ho P. -K., Holanda-Pena M. S., Horcajada J. P., Hraiech S., Humbert L., Hung I. F. N., Iglesias A. D., Inigo-Campos A., Jamme M., Arranz M. J., Jimeno M. -T., Jordan I., Yuksek S. K., Kara Y. B., Karahan A., Yasar K. K., Kasapcopur O., Kashimada K., Demirkol Y. K., Kido Y., Kizil C., Kilic A. O., Klocperk A., Koutsoukou A., Krol Z. J., Ksouri H., Kuentz P., Kwan A. M. C., Kwan Y. W. M., Kwok J. S. Y., Lagier J. -C., Lam D. S. Y., Lampropoulou V., Le Bourgeois F., Leo Y. -S., Leung D., Levin M., Levy M., Levy R., Li Z., Lilleri D., Lima E. J. A. B., Linglart A., Lopez-Collazo E., Lorenzo-Salazar J. M., Louapre C., Lubetzki C., Lung K. -C., Luyt C. -E., Lye D. C., Magnone C., Marchioni E., Marioli C., Marjani M., Marques L., Pereira J. M., Pueyo D. M., Marzana I., Mata-Martinez C., Mathian A., Matos L. R. B., Matthews G. V., Mayaux J., McLaughlin-Garcia R., Meersseman P., Mege J. -L., Mekontso-Dessap A., Melki I., Meloni F., Meritet J. -F., Merlani P., Akcan O. M., Mezidi M., Millereux M., Million M., Mirault T., Mircher C., Mirsaeidi M., Mizoguchi Y., Modi B. P., Mojoli F., Moncomble E., Melian A. M., Martinez A. M., Morandeira F., Mordacq C., Mouly S. J., Munoz-Barrera A., Nafati C., Nagashima S., Nakagama Y., Neven B., Neves J. F., Ng Y. -Y., Nielly H., Medina Y. N., Cuadros E. N., Ocejo-Vinyals J. G., Okamoto K., Oualha M., Ouedrani A., Ozcelik T., Ozkaya-Parlakay A., Pagani M., Papadaki M., Parola P., Pascreau T., Paul S., Paz-Artal E., Pedraza S., Pellecer N. C. G., Pellegrini S., Perez-Fernandez X. L., Philippe A., Philippot Q., Picod A., Piralla A., Ploin D., Poissy J., Poncelet G., Poulakou G., Pouletty M. S., Pourshahnazari P., Qiu-Chen J. L., Quentric P., Rambaud T., Raoult D., Raoult V., Rebillat A. -S., Redin C., Resmini L., Ricart P., Richard J. -C., Rigo-Bonnin R., rivet N., Rocamora-Blanch G., Rodero M. P., Rodrigo C., Rodriguez L. A., Rodriguez-Palmero A., Romero C. S., Rothenbuhler A., Roux D., Rovina N., Rozenberg F., Ruch Y., Ruiz M., del Prado M. Y. R., Ruiz-Rodriguez J. C., Sabater-Riera J., Saks K., Salagianni M., Sanchez O., Sanchez-Montalva A., Sanchez-Ramon S., Schidlowski L., Schmidt J., Schmidt M., Schuetz C., Schweitzer C. E., Scolari F., Seijo L., Seminario A. G., Seng P., Senoglu S., Seppanen M., Llovich A. S., Siguret V., Siouti E., Smadja D. M., Smith N., Solanich X., Sole-Violan J., Soler C., Stella G. M., Stepanovskiy Y., Stoclin A., Taccone F., Taupin J. -L., Tavernier S. J., Tello L. V., Terrier B., Thiery G., Thorball C., Thorn K., Thumerelle C., Tolstrup M., Tomasoni G., Toubiana J., Alvarez J. T., Triantafyllia V., Trouillet-Assant S., Tsang O. T. Y., Tserel L., Tso E. Y. K., Tucci A., Oz S. K. T., Ursini M. V., Utsumi T., Vabres P., Valencia-Ramos J., Van Den Rym A. M., Vandernoot I., Velez-Santamaria V., Veliz S. P. Z., Vidigal M. C., Viel S., Villain C., Vilaire-Meunier M. E., Villar-Garcia J., Vincent A., Volokha A., Vuotto F., Wauters E., Wauters J., Wu A. K. L., Wu T. -C., Yahsi A., Yesilbas O., Yildiz M., Young B. E., Yukselmis U., Zecca M., Zuccaro V., Van Praet J., Lambrecht B. N., Van Braeckel E., Bosteels C., Hoste L., Hoste E., Bauters F., De Clercq J., Heijmans C., Slabbynck H., Naesens L., Florkin B., Boulanger C., Vanderlinden D., Berkell M., Carelli V., Malhotra S., Mattiaccio A., Pippucci T., Seri M., Tacconelli E., van Agtmael M., Algera A. G., Appelman B., van Baarle F., Bax D., Beudel M., Bogaard H. J., Bomers M., Bonta P., Bos L., Botta M., de Brabander J., de Bree G., de Bruin S., Buis D. T. P., Bugiani M., Bulle E., Cloherty O. C. A., Dijkstra M., Dongelmans D. A., Dujardin R. W. G., Elbers P., Fleuren L., Geijtenbeek S. G. T., Girbes A., Goorhuis B., Grobusch M. P., Hafkamp F., Hagens L., Hamann J., Harris V., Hemke R., Heunks S. M. H. L., Hollmann M., Horn J., Hovius J. W., de Jong M. D., Koning R., Lim E. H. T., van Mourik N., Nellen J., Nossent E. J., Paulus F., Peters E., Pina-Fuentes D. A. I., van der Poll T., Preckel B., Prins J. M., Raasveld J., Reijnders T., de Rotte M. C. F. J., Schinkel M., Schultz M. J., Schrauwen F. A. P., Schuurmans A., Schuurmans J., Sigaloff K., Slim M. A., Smeele P., Smit M., Stijnis C. S., Stilma W., Teunissen C., Thoral P., Tsonas A. M., Tuinman P. R., van der Valk M., Veelo D., Volleman C., de Vries H., Vught L. A., van Vugt M., Wouters D., Zwinderman A. H., Brouwer M. C., Wiersinga W. J., Vlaar A. P. J., Tompkins M. F., Alba C., Hupalo D. N., Rosenberger J., Sukumar G., Wilkerson M. D., Zhang X., Lack J., Oler A. J., Dobbs K., Danielson J. J., Biondi A., Bettini L. R., D'Angio' M., Beretta I., Imberti L., Sottini A., Quaresima V., Quiros-Roldan E., Rossi C., Meyts I., Zhang S. -Y., Puel A., Notarangelo L. D., Boisson-Dupuis S., Su H. C., Boisson B., Jouanguy E., Zhang Q., Abel L., Cobat A., Matuozzo, D, Talouarn, E, Marchal, A, Zhang, P, Manry, J, Seeleuthner, Y, Zhang, Y, Bolze, A, Chaldebas, M, Milisavljevic, B, Gervais, A, Bastard, P, Asano, T, Bizien, L, Barzaghi, F, Abolhassani, H, Abou Tayoun, A, Aiuti, A, Alavi Darazam, I, Allende, L, Alonso-Arias, R, Arias, A, Aytekin, G, Bergman, P, Bondesan, S, Bryceson, Y, Bustos, I, Cabrera-Marante, O, Carcel, S, Carrera, P, Casari, G, Chaibi, K, Colobran, R, Condino-Neto, A, Covill, L, Delmonte, O, El Zein, L, Flores, C, Gregersen, P, Gut, M, Haerynck, F, Halwani, R, Hancerli, S, Hammarstrom, L, Hatipoglu, N, Karbuz, A, Keles, S, Kyheng, C, Leon-Lopez, R, Franco, J, Mansouri, D, Martinez-Picado, J, Metin Akcan, O, Migeotte, I, Morange, P, Morelle, G, Martin-Nalda, A, Novelli, G, Novelli, A, Palabiyik, F, Pan-Hammarstrom, Q, de Diego, R, Planas-Serra, L, Pleguezuelo, D, Prando, C, Pujol, A, Reyes, L, Riviere, J, Rodriguez-Gallego, C, Rojas, J, Rovere-Querini, P, Schluter, A, Shahrooei, M, Sobh, A, Soler-Palacin, P, Tandjaoui-Lambiotte, Y, Tipu, I, Tresoldi, C, Troya, J, van de Beek, D, Zatz, M, Zawadzki, P, Al-Muhsen, S, Alosaimi, M, Alsohime, F, Baris-Feldman, H, Butte, M, Constantinescu, S, Cooper, M, Dalgard, C, Fellay, J, Heath, J, Lau, Y, Lifton, R, Maniatis, T, Mogensen, T, von Bernuth, H, Lermine, A, Vidaud, M, Boland, A, Deleuze, J, Nussbaum, R, Kahn-Kirby, A, Mentre, F, Tubiana, S, Gorochov, G, Tubach, F, Hausfater, P, Al-Mulla, F, Anderson, M, Andreakos, E, Feldman, H, Belot, A, Biggs, C, Bogunovic, D, Bondarenko, A, Bousfiha, A, Brodin, P, Bustamante, C, Chakravorty, S, Christodoulou, J, Desai, M, Drolet, B, Baghdadi, J, Espinosa-Padilla, S, Froidure, A, Hagin, D, Henrickson, S, Hsieh, E, Husebye, E, Imai, K, Itan, Y, Jarvis, E, Karamitros, T, Kisand, K, Ku, C, Ling, Y, Lucas, C, Marodi, L, Milner, J, Mironska, K, Morio, T, Ng, L, O'Farrelly, C, Okada, S, Planas, A, Quintana-Murci, L, Renia, L, Resnick, I, Sancho-Shimizu, V, Sediva, A, Seppanen, M, Shcherbina, A, Slaby, O, Snow, A, Spaan, A, Tancevski, I, Tangye, S, Ramaswamy, S, Turvey, S, Uddin, F, Uddin, M, Vinh, D, Casanova, J, Vacher, Y, Gysembergh-Houal, A, Demerville, L, Chachoua, A, Abad, S, Abassi, R, Abdellaoui, A, Abdelmalek, A, Abdoul, H, Abergel, H, Abeud, F, Abgrall, S, Abisror, N, Adechian, M, Aderdour, N, Admane, H, Adnet, F, Afritt, S, Agostini, H, Aguilar, C, Agut, S, Aiello, T, Kaci, M, Oufella, H, Ajeenthiravasan, G, Alauzy, V, Alby-Laurent, F, Allard, L, Alyanakian, M, Borrero, B, Amam, S, Amrouche, L, Andronikof, M, Anglicheau, D, Anguel, N, Annane, D, Aounzou, M, Aparicio, C, Aratus, G, Arlet, J, Arzoine, J, Aslangul, E, Assefi, M, Aubry, A, Audiffred, L, Audureau, E, Auger, C, Auregan, J, Awotar, C, Milla, S, Azan, D, Azemar, L, Azzouguen, B, Elrufaai, M, Badsi, A, Bakouboula, P, Balcerowiak, C, Balde, F, Baldivia, E, Bangamingo, E, Baptiste, A, Baran-Marszak, F, Barau, C, Barget, N, Baronnet, F, Barthelemy, R, Baudel, J, Baudry, C, Baudry, E, Beaugerie, L, Belamri, A, Belaube, N, Belilita, R, Bellassen, P, Belmokhtar, R, Beltran, I, Benainous, R, Benallaoua, M, Benamouzig, R, Benbara, A, Benhida, J, Benkhelouf, A, Benlagha, J, Benmostafa, C, Benothmane, S, Bentifraouine, M, Berard, L, Bernier, Q, Berti, E, Bertier, A, Berton, L, Bessis, S, Beurton, A, Bianco, C, Bianquis, C, Bidar, F, Blanche, P, Blayau, C, Bleibtreu, A, Blin, E, Bloch-Queyrat, C, Boissier, M, Bollens, D, Bolzoni, M, Bompard, R, Bonnet, N, Bonnouvrier, J, Botha, S, Boucenna, W, Bouchama, F, Bouchaud, O, Bouchghoul, H, Boudjebla, T, Boudjema, N, Bouffard, C, Bougle, A, Bouguerra, M, Bouras, L, Bourcier, A, Durand, A, Bourrier, A, Bouscarat, F, Bouvry, D, Bouziri, N, Bouzrara, O, Bribier, S, Brugier, D, Brunel, M, Bui, E, Buisson, A, Bukreyeva, I, Bureau, C, Cadranel, J, Cailhol, J, Calin, R, Vega, C, Canavaggio, P, Cancella, M, Cantin, D, Cao, A, Carbillon, L, Carlier, N, Cassard, C, Castor, G, Cauchy, M, Cha, O, Chaigne, B, Challal, S, Champion, K, Chariot, P, Chas, J, Chauveau, S, Chauvin, A, Chauvin, C, Chavarot, N, Chebbout, K, Cherai, M, Cherubini, I, Chevalier, A, Chiarabini, T, Chinet, T, Chocron, R, Choinier, P, Chommeloux, J, Choquet, C, Choupeaux, L, Chousterman, B, Ciocan, D, Clarke, A, Clavere, G, Clavier, F, Clement, K, Clerc, S, Cohen, Y, Cohen, F, Cohen, A, Coilly, A, Colboc, H, Colin, P, Collet, M, Comarmond, C, Combacon, E, Combes, A, Comparon, C, Constantin, J, Cordel, H, Cordier, A, Costantini, A, Chalumeau, N, Couffignal, C, Coupeau, D, Creange, A, Lamarre, Y, Da Silveira, C, Kayani, S, De Castro, N, De Rycke, Y, Del Pozo, L, Delannoy, Q, Delay, M, Deleris, R, Delforge, J, Delphine, L, Demare, N, Demeret, S, Demoule, A, Deniau, A, Depret, F, Derolez, S, Derradji, O, Derridj, N, Descamps, V, Deschamps, L, Desconclois, C, Desnos, C, Desongins, K, Dhote, R, Diallo, B, Didier, M, Diemer, M, Diez, S, Djadi-Prat, J, Monnory, F, Djebara, S, Djebra, N, Djietcheu, M, Djillali, H, Djouadi, N, Donneger, S, Dos Santos, C, Dournon, N, Dres, M, Droctove, L, Drogrey, M, Dropy, M, Drouet, E, Dubosq, V, Dubreucq, E, Dubus, E, Duchemann, B, Duchenoy, T, Dudoignon, E, Dufau, R, Dumas, F, Duran, C, Duron, E, Durrbach, A, Duvivier, C, Ebstein, N, Khalifa, J, Elabbadi, A, Elie, C, Ernotte, G, Esling, A, Etienne, M, Eyer, X, Fartoukh, M, Fayali, T, Fermaut, M, Fiorentino, A, Fliss, S, Fournier, M, Fournier, B, Francois, H, Freynet, O, Frigout, Y, Fromont, I, Fuentes, A, Furet, T, Galand, J, Garnier, M, Gaubert, A, Gaudry, S, Gaugain, S, Gauthier, D, Gautier, M, Georgin-Lavialle, S, Geromin, D, Ghalayini, M, Ghaleh, B, Ghezal, M, Gibelin, A, Gimeno, L, Girard, B, Leprieur, B, Gomes, D, Gomes-Pires, E, Gouge, A, Gouja, A, Goulet, H, Goupil, S, De Bouille, J, Gras, J, Greffe, S, Grimaldi, L, Guedeney, P, Guidet, B, Guillo, M, Gulczynski, M, Hadjam, T, Haguenauer, D, Hammal, S, Hammoudi, N, Hanon, O, Harrois, A, Hautem, C, Hekimian, G, Heming, N, Hermine, O, Ho, S, Houllier, M, Huot, B, Huscenot, T, Saied, W, Ikherbane, G, Imarazene, M, Ingiliz, P, Iratni, L, Jaureguiberry, S, Jean-Marc, J, Jeyarajasingham, D, Jouany, P, Jouis, V, Jourdaine, C, Kafif, O, Kallala, R, Katsahian, S, Kelesyan, L, Keo, V, Ketz, F, Khamis, W, Khelili, E, Khellaf, M, Youkou, C, Kounis, I, Kpalma, G, Krause, J, Labbe, V, Lacombe, K, Lacorte, J, Lafont, A, Lafont, E, Lagha, L, Lamhaut, L, Lancelot, A, Landman, C, Lanternier, F, Larcheveque, C, Combe, C, Lassel, L, Laverdant, B, Lavergne, C, Lavillegrand, J, Lazureanu, P, Le Guennec, L, Leberre, L, Leblanc, C, Leboyer, M, Lecomte, F, Lecorre, M, Leenhardt, R, Lefebvre, M, Lefebvre, B, Legendre, P, Leger, A, Legros, L, Legrosse, J, Lehuunghia, S, Lemarec, J, Leporrier-Ext, J, Lesein, M, Lesur, H, Levy, V, Levy, A, Lopes, E, Lopes, A, Lopez, V, Lopinto, J, Lortholary, O, Louadah, B, Loze, B, Lucas, M, Lucasamichi, A, Luong, L, Magazimama-Ext, A, Maingret, D, Mameri, L, Manivet, P, Mansouri, C, Marcault, E, Marey, J, Marin, N, Marois, C, Martin, O, Martineau, L, Martinez-Lopez, C, Martyniuck, P, De Farcy, P, Marzouk, N, Masmoudi, R, Mebazaa, A, Mechai, F, Mecozzi, F, Mediouni, C, Megarbane, B, Meghadecha, M, Mejean, E, Mekinian, A, Abdelhadi, N, Mekni, R, Meliti, T, Lima, B, Meng, P, Merbah, S, Messani, F, Messaoudi, Y, Mewasing, B, Meziane, L, Michelot-Burger, C, Mignot, F, Minka, F, Miyara, M, Moine, P, Molina, J, Montegnies-Boulet, A, Monti, A, Montlahuc, C, Montout, A, Moores, A, Morbieu, C, Mortelette, H, Mouly, S, Muzaffar, R, Nacerddine, C, Nadal, M, Nadif, H, Nassarmadji, K, Natella, P, Ndingamondze, S, Neraal, S, Nguyen, C, N'Guyen, B, Larmurier, I, Nlomenyengue, L, Noel, N, Nunes, H, Omar, E, Ouazene, Z, Ouedraogo, E, Ouelaa, W, Oukhedouma, A, Amara, Y, Oya, H, Oziel, J, Padilla, T, Paillaud, E, Paiva, S, Parfait, B, Parize, P, Parizot, C, Parrot, A, Pavot, A, Peaudecerf, L, Pene, F, Pepin, M, Pernet, J, Pernin, C, Petit, M, Peyrony, O, Pietri, M, Pietri, O, De Chambrun, M, Pinson, M, Pintado, C, Pires, C, Planquette, B, Poirier, S, Pomel, A, Pons, S, Ponscarme, D, Pourcelot, A, Pourcher, V, Pouvaret, A, Prever, F, Previlon, M, Prevost, M, Provoost, M, Quemeneur, C, Rafat, C, Rami, A, Ranque, B, Raphael, M, Raphalen, J, Rastoin, A, Raux, M, Rebai, A, Reby, M, Regent, A, Regrag, A, Resche-Rigon, M, Ressaire, Q, Richard, C, Richard, M, Robert, M, Rohaut, B, Rolland-Debord, C, Ropers, J, Roque-Afonso, A, Rosso, C, Rousseaux, M, Rousseaux, N, Roux, S, Roux, L, Rouzaud, C, Rozes, A, Rubenstein, E, Sabate, J, Sabet, S, Sacleux, S, Kermanach, N, Saliba, F, Salmon, D, Savale, L, Savary, G, Sberro, R, Scemla, A, Schlemmer, F, Schwartz, M, Sedfi, S, Sefir-Kribel, S, Seksik, P, Sellier, P, Selves, A, Sembach, N, Semerano, L, Senat, M, Sene, D, Serris, A, Sese, L, Sghiouar, N, Sigaux, J, Siguier, M, Silvain, J, Simon, N, Simon, T, Skandri, L, Slimani, M, Snauwaert, A, Sokol, H, Soliman, H, Soltani, N, Soyer, B, Steg, G, Suarez, L, Szwebel, T, Taffame, K, Tantet, C, Tateo, M, Theodose, I, Thiebaud, P, Thomas, C, Tiercelet, K, Tisserand, J, Tomczak, C, Torelino, K, Touam-Ext, F, Toumi, L, Toury, G, Toy-Miou, M, Lien, O, Trandinh, A, Treluyer, J, Trinque, B, Truchot, J, Tunesi, S, Turpin, M, Turpin, A, Urbina, T, Narvaez, R, Uzunhan, Y, Vaittinadaayar, P, Valent, A, Valentian, M, Valin, N, Vallet, H, Vaz, M, Vazquezibarra, M, Vedie, B, Velly, L, Verstuyft, C, Viallette, C, Vicaut, E, Vignes, D, Vimpere, D, Virlouvet, M, Voiriot, G, Voisot, L, Weiss, E, Weiss, N, Winchenne, A, Yordanov, Y, Zafrani, L, Zaidan, M, Zaidi, W, Zak, C, Zarhrate-Ghoul, A, Zatout, O, Zeino, S, Zeitouni, M, Zemirli, N, Zerah, L, Zia, O, Ziol, M, Zolario, O, Zuber, J, Andrejak, C, Angoulvant, F, Bachelet, D, Bartoli, M, Basmaci, R, Behilill, S, Beluze, M, Benkerrou, D, Bhavsar, K, Bouadma, L, Bouchez, S, Bouscambert, M, Cervantes-Gonzalez, M, Chair, A, Coelho, A, D'Ortenzio, E, Debray, M, Deconinck, L, Deplanque, D, Descamps, D, Desvallee, M, Diallo, A, Diouf, A, Dorival, C, Dubos, F, Duval, X, Elharrar, B, Eloy, P, Enouf, V, Esperou, H, Esposito-Farese, M, Devouge, E, Gault, N, Gaymard, A, Ghosn, J, Gigante, T, Gilg, M, Guedj, J, Hoctin, A, Hoffmann, I, Houas, I, Hulot, J, Jaafoura, S, Kaguelidou, F, Kali, S, Khalil, A, Khan, C, Laouenan, C, Laribi, S, Le, M, Le Hingrat, Q, Le Mestre, S, Le Nagard, H, Lescure, F, Levy, Y, Lingas, G, Lucet, J, Malvy, D, Mambert, M, Meziane, A, Mouquet, H, Mullaert, J, Neant, N, Nguyen, D, Noret, M, Nseir, S, Papadopoulos, A, Paul, C, Peiffer-Smadja, N, Perpoint, T, Petrov-Sanchez, V, Peytavin, G, Pham, H, Picone, O, Puechal, O, Rabaud, C, Rosa-Calatrava, M, Rossignol, B, Rossignol, P, Roy, C, Schneider, M, Su, R, Tardivon, C, Tellier, M, Teoule, F, Terrier, O, Timsit, J, Tual, C, Van Der Werf, S, Vanel, N, Veislinger, A, Visseaux, B, Wiedemann, A, Yazdanpanah, Y, Alavoine, L, Behillil, S, Burdet, C, Charpentier, C, Dechanet, A, Ecobichon, J, Frezouls, W, Houhou, N, Lehacaut, J, Letrou, S, Lina, B, Manchon, P, Nouroudine, M, Piquard, V, Quintin, C, Thy, M, Vignali, V, Chahine, A, Waucquier, N, Migaud, M, Djossou, F, Mergeay-Fabre, M, Lucarelli, A, Demar, M, Bruneau, L, Gerardin, P, Maillot, A, Payet, C, Laviolle, B, Laine, F, Paris, C, Desille-Dugast, M, Fouchard, J, Pistone, T, Perreau, P, Gissot, V, Goas, C, Montagne, S, Richard, L, Chirouze, C, Bouiller, K, Desmarets, M, Meunier, A, Bourgeon, M, Lefevre, B, Jeulin, H, Legrand, K, Lomazzi, S, Tardy, B, Gagneux-Brunon, A, Bertholon, F, Botelho-Nevers, E, Christelle, K, Nicolas, L, Roufai, L, Amat, K, Couffin-Cadiergues, S, Hendou, S, Foti, G, Bellani, G, Citerio, G, Contro, E, Pesci, A, Valsecchi, M, Cazzaniga, M, Abad, J, Accordino, G, Achille, C, Aguilera-Albesa, S, Aguilo-Cucurull, A, Ozkan, E, Albisures, J, Aldave, J, Ramos, M, Khan, T, Aliberti, A, Nadji, S, Alkan, G, Alkhater, S, Allardet-Servent, J, Alshahrani, M, Alsina, L, Amoura, Z, Antoli, A, Arrestier, R, Aubart, M, Auguet, T, Avramenko, I, Azot, A, Bahram, S, Bajolle, F, Baldanti, F, Baldolli, A, Ballester, M, Barrou, B, Basso, S, Bayhan, G, Bezrodnik, L, Bilbao, A, Blanchard-Rohner, G, Blanco, I, Blandinieres, A, Blazquez-Gamero, D, Bloomfield, M, Bolivar-Prados, M, Borghesi, A, Borie, R, Botdhlo-Nevers, E, Bousquet, A, Boutolleau, D, Bouvattier, C, Boyarchuk, O, Bravais, J, Briones, M, Brunner, M, Bruno, R, Bueno, M, Bukhari, H, Bustamante, J, Agra, J, Capra, R, Carapito, R, Carrabba, M, Casasnovas, C, Caseris, M, Cassaniti, I, Castelle, M, Castelli, F, de Vera, M, Castro, M, Catherinot, E, Celik, J, Ceschi, A, Chalumeau, M, Charbit, B, Cheng, M, Clave, P, Clotet, B, Codina, A, Comoli, P, Corsico, A, Sozeri, B, Coskuner, T, Cvetkovski, A, Cyrus, C, Dalmau, D, Danion, F, Darley, D, Das, V, Dauby, N, Dauger, S, De Munter, P, de Pontual, L, Dehban, A, Delplancq, G, Desguerre, I, Di Sabatino, A, Diehl, J, Dobbelaere, S, Dominguez-Garrido, E, Dubost, C, Ekwall, O, Bozdemir, S, Elnagdy, M, Emiroglu, M, Endo, A, Erdeniz, E, Aytekin, S, Lasa, M, Euvrard, R, Fabio, G, Faivre, L, Falck, A, Faure, M, Arquero, M, Ferrer, R, Ferreres, J, Francois, B, Fumado, V, Fung, K, Fusco, F, Gagro, A, Solis, B, Garcon, P, Gaussem, P, Gayretli, Z, Gil-Herrera, J, Gilardin, L, Gatineau, A, Girona-Alarcon, M, Godinez, K, Goffard, J, Gonzales, N, Gonzalez-Granado, L, Gonzalez-Montelongo, R, Guerder, A, Gulhan, B, Gumucio, V, Hanitsch, L, Gunst, J, Hadjadj, J, Hariyan, T, Heppekcan, D, Hernandez-Brito, E, Ho, P, Holanda-Pena, M, Horcajada, J, Hraiech, S, Humbert, L, Hung, I, Iglesias, A, Inigo-Campos, A, Jamme, M, Arranz, M, Jimeno, M, Jordan, I, Yuksek, S, Kara, Y, Karahan, A, Yasar, K, Kasapcopur, O, Kashimada, K, Demirkol, Y, Kido, Y, Kizil, C, Kilic, A, Klocperk, A, Koutsoukou, A, Krol, Z, Ksouri, H, Kuentz, P, Kwan, A, Kwan, Y, Kwok, J, Lagier, J, Lam, D, Lampropoulou, V, Le Bourgeois, F, Leo, Y, Leung, D, Levin, M, Levy, M, Levy, R, Li, Z, Lilleri, D, Lima, E, Linglart, A, Lopez-Collazo, E, Lorenzo-Salazar, J, Louapre, C, Lubetzki, C, Lung, K, Luyt, C, Lye, D, Magnone, C, Marchioni, E, Marioli, C, Marjani, M, Marques, L, Pereira, J, Pueyo, D, Marzana, I, Mata-Martinez, C, Mathian, A, Matos, L, Matthews, G, Mayaux, J, McLaughlin-Garcia, R, Meersseman, P, Mege, J, Mekontso-Dessap, A, Melki, I, Meloni, F, Meritet, J, Merlani, P, Akcan, O, Mezidi, M, Millereux, M, Million, M, Mirault, T, Mircher, C, Mirsaeidi, M, Mizoguchi, Y, Modi, B, Mojoli, F, Moncomble, E, Melian, A, Martinez, A, Morandeira, F, Mordacq, C, Munoz-Barrera, A, Nafati, C, Nagashima, S, Nakagama, Y, Neven, B, Neves, J, Ng, Y, Nielly, H, Medina, Y, Cuadros, E, Ocejo-Vinyals, J, Okamoto, K, Oualha, M, Ouedrani, A, Ozcelik, T, Ozkaya-Parlakay, A, Pagani, M, Papadaki, M, Parola, P, Pascreau, T, Paul, S, Paz-Artal, E, Pedraza, S, Pellecer, N, Pellegrini, S, Perez-Fernandez, X, Philippe, A, Philippot, Q, Picod, A, Piralla, A, Ploin, D, Poissy, J, Poncelet, G, Poulakou, G, Pouletty, M, Pourshahnazari, P, Qiu-Chen, J, Quentric, P, Rambaud, T, Raoult, D, Raoult, V, Rebillat, A, Redin, C, Resmini, L, Ricart, P, Richard, J, Rigo-Bonnin, R, Rivet, N, Rocamora-Blanch, G, Rodero, M, Rodrigo, C, Rodriguez, L, Rodriguez-Palmero, A, Romero, C, Rothenbuhler, A, Roux, D, Rovina, N, Rozenberg, F, Ruch, Y, Ruiz, M, del Prado, M, Ruiz-Rodriguez, J, Sabater-Riera, J, Saks, K, Salagianni, M, Sanchez, O, Sanchez-Montalva, A, Sanchez-Ramon, S, Schidlowski, L, Schmidt, J, Schmidt, M, Schuetz, C, Schweitzer, C, Scolari, F, Seijo, L, Seminario, A, Seng, P, Senoglu, S, Llovich, A, Siguret, V, Siouti, E, Smadja, D, Smith, N, Solanich, X, Sole-Violan, J, Soler, C, Stella, G, Stepanovskiy, Y, Stoclin, A, Taccone, F, Taupin, J, Tavernier, S, Tello, L, Terrier, B, Thiery, G, Thorball, C, Thorn, K, Thumerelle, C, Tolstrup, M, Tomasoni, G, Toubiana, J, Alvarez, J, Triantafyllia, V, Trouillet-Assant, S, Tsang, O, Tserel, L, Tso, E, Tucci, A, Oz, S, Ursini, M, Utsumi, T, Vabres, P, Valencia-Ramos, J, Van Den Rym, A, Vandernoot, I, Velez-Santamaria, V, Veliz, S, Vidigal, M, Viel, S, Villain, C, Vilaire-Meunier, M, Villar-Garcia, J, Vincent, A, Volokha, A, Vuotto, F, Wauters, E, Wauters, J, Wu, A, Wu, T, Yahsi, A, Yesilbas, O, Yildiz, M, Young, B, Yukselmis, U, Zecca, M, Zuccaro, V, Van Praet, J, Lambrecht, B, Van Braeckel, E, Bosteels, C, Hoste, L, Hoste, E, Bauters, F, De Clercq, J, Heijmans, C, Slabbynck, H, Naesens, L, Florkin, B, Boulanger, C, Vanderlinden, D, Berkell, M, Carelli, V, Malhotra, S, Mattiaccio, A, Pippucci, T, Seri, M, Tacconelli, E, van Agtmael, M, Algera, A, Appelman, B, van Baarle, F, Bax, D, Beudel, M, Bogaard, H, Bomers, M, Bonta, P, Bos, L, Botta, M, de Brabander, J, de Bree, G, de Bruin, S, Buis, D, Bugiani, M, Bulle, E, Cloherty, O, Dijkstra, M, Dongelmans, D, Dujardin, R, Elbers, P, Fleuren, L, Geijtenbeek, S, Girbes, A, Goorhuis, B, Grobusch, M, Hafkamp, F, Hagens, L, Hamann, J, Harris, V, Hemke, R, Heunks, S, Hollmann, M, Horn, J, Hovius, J, de Jong, M, Koning, R, Lim, E, van Mourik, N, Nellen, J, Nossent, E, Paulus, F, Peters, E, Pina-Fuentes, D, van der Poll, T, Preckel, B, Prins, J, Raasveld, J, Reijnders, T, de Rotte, M, Schinkel, M, Schultz, M, Schrauwen, F, Schuurmans, A, Schuurmans, J, Sigaloff, K, Slim, M, Smeele, P, Smit, M, Stijnis, C, Stilma, W, Teunissen, C, Thoral, P, Tsonas, A, Tuinman, P, van der Valk, M, Veelo, D, Volleman, C, de Vries, H, Vught, L, van Vugt, M, Wouters, D, Zwinderman, A, Brouwer, M, Wiersinga, W, Vlaar, A, Tompkins, M, Alba, C, Hupalo, D, Rosenberger, J, Sukumar, G, Wilkerson, M, Zhang, X, Lack, J, Oler, A, Dobbs, K, Danielson, J, Biondi, A, Bettini, L, D'Angio', M, Beretta, I, Imberti, L, Sottini, A, Quaresima, V, Quiros-Roldan, E, Rossi, C, Meyts, I, Zhang, S, Puel, A, Notarangelo, L, Boisson-Dupuis, S, Su, H, Boisson, B, Jouanguy, E, Zhang, Q, Abel, L, Cobat, A, Matuozzo D., Talouarn E., Marchal A., Zhang P., Manry J., Seeleuthner Y., Zhang Y., Bolze A., Chaldebas M., Milisavljevic B., Gervais A., Bastard P., Asano T., Bizien L., Barzaghi F., Abolhassani H., Abou Tayoun A., Aiuti A., Alavi Darazam I., Allende L. M., Alonso-Arias R., Arias A. A., Aytekin G., Bergman P., Bondesan S., Bryceson Y. T., Bustos I. G., Cabrera-Marante O., Carcel S., Carrera P., Casari G., Chaibi K., Colobran R., Condino-Neto A., Covill L. E., Delmonte O. M., El Zein L., Flores C., Gregersen P. K., Gut M., Haerynck F., Halwani R., Hancerli S., Hammarstrom L., Hatipoglu N., Karbuz A., Keles S., Kyheng C., Leon-Lopez R., Franco J. L., Mansouri D., Martinez-Picado J., Metin Akcan O., Migeotte I., Morange P. -E., Morelle G., Martin-Nalda A., Novelli G., Novelli A., Palabiyik F., Pan-Hammarstrom Q., de Diego R. P., Planas-Serra L., Pleguezuelo D. E., Prando C., Pujol A., Reyes L. F., Riviere J. G., Rodriguez-Gallego C., Rojas J., Rovere-Querini P., Schluter A., Shahrooei M., Sobh A., Soler-Palacin P., Tandjaoui-Lambiotte Y., Tipu I., Tresoldi C., Troya J., van de Beek D., Zatz M., Zawadzki P., Al-Muhsen S. Z., Alosaimi M. F., Alsohime F. M., Baris-Feldman H., Butte M. J., Constantinescu S. N., Cooper M. A., Dalgard C. L., Fellay J., Heath J. R., Lau Y. -L., Lifton R. P., Maniatis T., Mogensen T. H., von Bernuth H., Lermine A., Vidaud M., Boland A., Deleuze J. -F., Nussbaum R., Kahn-Kirby A., Mentre F., Tubiana S., Gorochov G., Tubach F., Hausfater P., Al-Muhsen S., Al-Mulla F., Anderson M. S., Andreakos E., Feldman H. B., Belot A., Biggs C. M., Bogunovic D., Bondarenko A., Bousfiha A. A., Brodin P., Bustamante C. D., Chakravorty S., Christodoulou J., Desai M., Drolet B. A., Baghdadi J. E., Espinosa-Padilla S., Froidure A., Hagin D., Henrickson S. E., Hsieh E. W. Y., Husebye E., Imai K., Itan Y., Jarvis E. D., Karamitros T., Kisand K., Ku C. -L., Ling Y., Lucas C. L., Marodi L., Milner J. D., Mironska K., Morio T., Ng L. F. P., O'Farrelly C., Okada S., Planas A. M., Quintana-Murci L., Renia L., Resnick I., Sancho-Shimizu V., Sediva A., Seppanen M. R. J., Shcherbina A., Slaby O., Snow A. L., Spaan A. N., Tancevski I., Tangye S. G., Ramaswamy S., Turvey S. E., Uddin F., Uddin M. J., Vinh D. C., Casanova J. -L., Vacher Y., Gysembergh-Houal A., Demerville L., Chachoua A., Abad S., Abassi R., Abdellaoui A., Abdelmalek A., Abdoul H., Abergel H., Abeud F., Abgrall S., Abisror N., Adechian M., Aderdour N., Admane H. F., Adnet F., Afritt S., Agostini H., Aguilar C., Agut S., Aiello T. F., Kaci M. A., Oufella H. A., Ajeenthiravasan G., Alauzy V., Alby-Laurent F., Allard L., Alyanakian M. -A., Borrero B. A., Amam S., Amrouche L., Andronikof M., Anglicheau D., Anguel N., Annane D., Aounzou M., Aparicio C., Aratus G., Arlet J. -B., Arzoine J., Aslangul E., Assefi M., Aubry A., Audiffred L., Audureau E., Auger C. N., Auregan J. -C., Awotar C., Milla S. A., Azan D., Azemar L., Azzouguen B., Elrufaai M. B., Badsi A., Bakouboula P., Balcerowiak C., Balde F., Baldivia E., Bangamingo E. -F., Baptiste A., Baran-Marszak F., Barau C., Barget N., Baronnet F., Barthelemy R., Baudel J. -L., Baudry C., Baudry E., Beaugerie L., Belamri A., Belaube N., Belilita R., Bellassen P., Belmokhtar R., Beltran I., Benainous R., Benallaoua M., Benamouzig R., Benbara A., Benhida J., Benkhelouf A., Benlagha J., Benmostafa C., Benothmane S., Bentifraouine M., Berard L., Bernier Q., Berti E., Bertier A., Berton L., Bessis S., Beurton A., Bianco C., Bianquis C., Bidar F., Blanche P., Blayau C., Bleibtreu A., Blin E., Bloch-Queyrat C., Boissier M. -C., Bollens D., Bolzoni M., Bompard R., Bonnet N., Bonnouvrier J., Botha S., Boucenna W., Bouchama F., Bouchaud O., Bouchghoul H., Boudjebla T., Boudjema N., Bouffard C., Bougle A., Bouguerra M., Bouras L., Bourcier A., Durand A. B., Bourrier A., Bouscarat F., Bouvry D., Bouziri N., Bouzrara O., Bribier S., Brugier D., Brunel M., Bui E., Buisson A., Bukreyeva I., Bureau C., Cadranel J., Cailhol J., Calin R., Vega C. C., Canavaggio P., Cancella M., Cantin D., Cao A., Carbillon L., Carlier N., Cassard C., Castor G., Cauchy M., Cha O., Chaigne B., Challal S., Champion K., Chariot P., Chas J., Chauveau S., Chauvin A., Chauvin C., Chavarot N., Chebbout K., Cherai M., Cherubini I., Chevalier A., Chiarabini T., Chinet T., Chocron R., Choinier P., Chommeloux J., Choquet C., Choupeaux L., Chousterman B., Ciocan D., Clarke A., Clavere G., Clavier F., Clement K., Clerc S., Cohen Y., Cohen F., Cohen A., Coilly A., Colboc H., Colin P., Collet M., Comarmond C., Combacon E., Combes A., Comparon C., Constantin J. -M., Cordel H., Cordier A. -G., Costantini A., Chalumeau N. C., Couffignal C., Coupeau D., Creange A., Lamarre Y. C., Da Silveira C., Kayani S. D. G. E., De Castro N., De Rycke Y., Del Pozo L., Delannoy Q., Delay M., Deleris R., Delforge J., Delphine L., Demare N., Demeret S., Demoule A., Deniau A., Depret F., Derolez S., Derradji O., Derridj N., Descamps V., Deschamps L., Desconclois C., Desnos C., Desongins K., Dhote R., Diallo B., Didier M., Diemer M., Diez S., Djadi-Prat J., Monnory F. -Z. D., Djebara S., Djebra N., Djietcheu M., Djillali H., Djouadi N., Donneger S., Dos Santos C., Dournon N., Dres M., Droctove L., Drogrey M., Dropy M., Drouet E., Dubosq V., Dubreucq E., Dubus E., Duchemann B., Duchenoy T., Dudoignon E., Dufau R., Dumas F., Duran C., Duron E., Durrbach A., Duvivier C., Ebstein N., Khalifa J. E., Elabbadi A., Elie C., Ernotte G., Esling A., Etienne M., Eyer X., Fartoukh M., Fayali T., Fermaut M., Fiorentino A., Fliss S., Fournier M. -C., Fournier B., Francois H., Freynet O., Frigout Y., Fromont I., Fuentes A., Furet T., Galand J., Garnier M., Gaubert A., Gaudry S., Gaugain S., Gauthier D., Gautier M., Georgin-Lavialle S., Geromin D., Ghalayini M., Ghaleh B., Ghezal M., Gibelin A., Gimeno L., Girard B., Leprieur B. G., Gomes D., Gomes-Pires E., Gouge A., Gouja A., Goulet H., Goupil S., De Bouille J. G., Gras J., Greffe S., Grimaldi L., Guedeney P., Guidet B., Guillo M., Gulczynski M., Hadjam T., Haguenauer D., Hammal S., Hammoudi N., Hanon O., Harrois A., Hautem C., Hekimian G., Heming N., Hermine O., Ho S., Houllier M., Huot B., Huscenot T., Saied W. I., Ikherbane G., Imarazene M., Ingiliz P., Iratni L., Jaureguiberry S., Jean-Marc J. -F., Jeyarajasingham D., Jouany P., Jouis V., Jourdaine C., Kafif O., Kallala R., Katsahian S., Kelesyan L., Keo V., Ketz F., Khamis W., Khelili E., Khellaf M., Youkou C. G. K., Kounis I., Kpalma G., Krause J., Labbe V., Lacombe K., Lacorte J. -M., Lafont A. G., Lafont E., Lagha L., Lamhaut L., Lancelot A., Landman C., Lanternier F., Larcheveque C., Combe C. L., Lassel L., Laverdant B., Lavergne C., Lavillegrand J. -R., Lazureanu P., Le Guennec L., Leberre L., Leblanc C., Leboyer M., Lecomte F., Lecorre M., Leenhardt R., Lefebvre M., Lefebvre B., Legendre P., Leger A., Legros L., Legrosse J., Lehuunghia S., Lemarec J., Leporrier-Ext J., Lesein M., Lesur H., Levy V., Levy A., Lopes E., Lopes A., Lopez V., Lopinto J., Lortholary O., Louadah B., Loze B., Lucas M. -L., Lucasamichi A., Luong L. B., Magazimama-Ext A., Maingret D., Mameri L., Manivet P., Mansouri C., Marcault E., Marey J., Marin N., Marois C., Martin O., Martineau L., Martinez-Lopez C., Martyniuck P., De Farcy P. M., Marzouk N., Masmoudi R., Mebazaa A., Mechai F., Mecozzi F., Mediouni C., Megarbane B., Meghadecha M., Mejean E., Mekinian A., Abdelhadi N. M., Mekni R., Meliti T. S., Lima B. M., Meng P., Merbah S., Messani F., Messaoudi Y., Mewasing B. -I., Meziane L., Michelot-Burger C., Mignot F., Minka F. H., Miyara M., Moine P., Molina J. -M., Montegnies-Boulet A., Monti A., Montlahuc C., Montout A. -L., Moores A., Morbieu C., Mortelette H., Mouly S., Muzaffar R., Nacerddine C. I., Nadal M., Nadif H., Nassarmadji K., Natella P., Ndingamondze S., Neraal S., Nguyen C., N'Guyen B., Larmurier I. N., Nlomenyengue L., Noel N., Nunes H., Omar E., Ouazene Z., Ouedraogo E., Ouelaa W., Oukhedouma A., Amara Y. O., Oya H., Oziel J., Padilla T., Paillaud E., Paiva S., Parfait B., Parize P., Parizot C., Parrot A., Pavot A., Peaudecerf L., Pene F., Pepin M., Pernet J., Pernin C., Petit M., Peyrony O., Pietri M. -P., Pietri O., De Chambrun M. P., Pinson M., Pintado C., Pires C., Planquette B., Poirier S., Pomel A. -L., Pons S., Ponscarme D., Pourcelot A., Pourcher V., Pouvaret A., Prever F., Previlon M., Prevost M., Provoost M. -J., Quemeneur C., Rafat C., Rami A., Ranque B., Raphael M., Raphalen J. H., Rastoin A., Raux M., Rebai A., Reby M., Regent A., Regrag A., Resche-Rigon M., Ressaire Q., Richard C., Richard M., Robert M., Rohaut B., Rolland-Debord C., Ropers J., Roque-Afonso A. -M., Rosso C., Rousseaux M., Rousseaux N., Roux S., Roux L., Rouzaud C., Rozes A., Rubenstein E., Sabate J. -M., Sabet S., Sacleux S. -C., Kermanach N. S., Saliba F., Salmon D., Savale L., Savary G., Sberro R., Scemla A., Schlemmer F., Schwartz M., Sedfi S., Sefir-Kribel S., Seksik P., Sellier P., Selves A., Sembach N., Semerano L., Senat M. -V., Sene D., Serris A., Sese L., Sghiouar N., Sigaux J., Siguier M., Silvain J., Simon N., Simon T., Skandri L. I., Slimani M., Snauwaert A., Sokol H., Soliman H., Soltani N., Soyer B., Steg G., Suarez L., Szwebel T. -A., Taffame K., Tantet C., Tateo M., Theodose I., Thiebaud P., Thomas C., Tiercelet K., Tisserand J., Tomczak C., Torelino K., Touam-Ext F., Toumi L., Toury G., Toy-Miou M., Lien O. T. D. T., Trandinh A., Treluyer J. -M., Trinque B., Truchot J., Tunesi S., Turpin M., Turpin A., Urbina T., Narvaez R. U., Uzunhan Y., Vaittinadaayar P., Valent A., Valentian M., Valin N., Vallet H., Vaz M., Vazquezibarra M. -A., Vedie B., Velly L., Verstuyft C., Viallette C., Vicaut E., Vignes D., Vimpere D., Virlouvet M., Voiriot G., Voisot L., Weiss E., Weiss N., Winchenne A., Yordanov Y., Zafrani L., Zaidan M., Zaidi W., Zak C., Zarhrate-Ghoul A., Zatout O., Zeino S., Zeitouni M., Zemirli N., Zerah L., Zia O., Ziol M., Zolario O., Zuber J., Andrejak C., Angoulvant F., Bachelet D., Bartoli M., Basmaci R., Behilill S., Beluze M., Benkerrou D., Bhavsar K., Bouadma L., Bouchez S., Bouscambert M., Cervantes-Gonzalez M., Chair A., Coelho A., d'Ortenzio E., Debray M. -P., Deconinck L., Deplanque D., Descamps D., Desvallee M., Diallo A., Diouf A., Dorival C., Dubos F., Duval X., Elharrar B., Eloy P., Enouf V., Esperou H., Esposito-Farese M., Devouge E. F., Gault N., Gaymard A., Ghosn J., Gigante T., Gilg M., Guedj J., Hoctin A., Hoffmann I., Houas I., Hulot J. -S., Jaafoura S., Kaguelidou F., Kali S., Khalil A., Khan C., Laouenan C., Laribi S., Le M., Le Hingrat Q., Le Mestre S., Le Nagard H., Lescure F. -X., Levy Y., Lingas G., Lucet J. C., Malvy D., Mambert M., Meziane A., Mouquet H., Mullaert J., Neant N., Nguyen D., Noret M., Nseir S., Papadopoulos A., Paul C., Peiffer-Smadja N., Perpoint T., Petrov-Sanchez V., Peytavin G., Pham H., Picone O., Puechal O., Rabaud C., Rosa-Calatrava M., Rossignol B., Rossignol P., Roy C., Schneider M., Su R., Tardivon C., Tellier M. -C., Teoule F., Terrier O., Timsit J. -F., Tual C., Van Der Werf S., Vanel N., Veislinger A., Visseaux B., Wiedemann A., Yazdanpanah Y., Alavoine L., Behillil S., Burdet C., Charpentier C., Dechanet A., Ecobichon J. -L., Frezouls W., Houhou N., Lehacaut J., Letrou S., Lina B., Manchon P., Nouroudine M., Piquard V., Quintin C., Thy M., Vignali V., Chahine A., Waucquier N., Migaud M. -C., Djossou F., Mergeay-Fabre M., Lucarelli A., Demar M., Bruneau L., Gerardin P., Maillot A., Payet C., Laviolle B., Laine F., Paris C., Desille-Dugast M., Fouchard J., Pistone T., Perreau P., Gissot V., Goas C. L. E., Montagne S., Richard L., Chirouze C., Bouiller K., Desmarets M., Meunier A., Bourgeon M., Lefevre B., Jeulin H., Legrand K., Lomazzi S., Tardy B., Gagneux-Brunon A., Bertholon F., Botelho-Nevers E., Christelle K., Nicolas L., Roufai L., Amat K., Couffin-Cadiergues S., Hendou S., Foti G., Bellani G., Citerio G., Contro E., Pesci A., Valsecchi M. G., Cazzaniga M., Abad J., Accordino G., Achille C., Aguilera-Albesa S., Aguilo-Cucurull A., Ozkan E. A., Albisures J. A. R., Aldave J. C., Ramos M. A., Khan T. A., Aliberti A., Nadji S. A., Alkan G., AlKhater S. A., Allardet-Servent J., Alshahrani M. S., Alsina L., Amoura Z., Antoli A., Arrestier R., Aubart M., Auguet T., Avramenko I., Azot A., Bahram S., Bajolle F., Baldanti F., Baldolli A., Ballester M., Barrou B., Basso S., Bayhan G. I., Bezrodnik L., Bilbao A., Blanchard-Rohner G., Blanco I., Blandinieres A., Blazquez-Gamero D., Bloomfield M., Bolivar-Prados M., Borghesi A., Borie R., Botdhlo-Nevers E., Bousquet A., Boutolleau D., Bouvattier C., Boyarchuk O., Bravais J., Briones M. L., Brunner M. -E., Bruno R., Bueno M. R. P., Bukhari H., Bustamante J., Agra J. J. C., Capra R., Carapito R., Carrabba M., Casasnovas C., Caseris M., Cassaniti I., Castelle M., Castelli F., de Vera M. C., Castro M. V., Catherinot E., Celik J. B., Ceschi A., Chalumeau M., Charbit B., Cheng M. P., Clave P., Clotet B., Codina A., Comoli P., Corsico A. G., Sozeri B., Coskuner T., Cvetkovski A., Cyrus C., Dalmau D., Danion F., Darley D. R., Das V., Dauby N., Dauger S., De Munter P., de Pontual L., Dehban A., Delplancq G., Desguerre I., Di Sabatino A., Diehl J. -L., Dobbelaere S., Dominguez-Garrido E., Dubost C., Ekwall O., Bozdemir S. E., Elnagdy M. H., Emiroglu M., Endo A., Erdeniz E. H., Aytekin S. E., Lasa M. P. E., Euvrard R., Fabio G., Faivre L., Falck A., Faure M., Arquero M. F., Ferrer R., Ferreres J., Francois B., Fumado V., Fung K. S. C., Fusco F., Gagro A., Solis B. G., Garcon P., Gaussem P., Gayretli Z., Gil-Herrera J., Gilardin L., Gatineau A. G., Girona-Alarcon M., Godinez K. A. C., Goffard J. -C., Gonzales N., Gonzalez-Granado L. I., Gonzalez-Montelongo R., Guerder A., Gulhan B., Gumucio V. D., Hanitsch L. G., Gunst J., Hadjadj J., Hariyan T., Heppekcan D., Hernandez-Brito E., Ho P. -K., Holanda-Pena M. S., Horcajada J. P., Hraiech S., Humbert L., Hung I. F. N., Iglesias A. D., Inigo-Campos A., Jamme M., Arranz M. J., Jimeno M. -T., Jordan I., Yuksek S. K., Kara Y. B., Karahan A., Yasar K. K., Kasapcopur O., Kashimada K., Demirkol Y. K., Kido Y., Kizil C., Kilic A. O., Klocperk A., Koutsoukou A., Krol Z. J., Ksouri H., Kuentz P., Kwan A. M. C., Kwan Y. W. M., Kwok J. S. Y., Lagier J. -C., Lam D. S. Y., Lampropoulou V., Le Bourgeois F., Leo Y. -S., Leung D., Levin M., Levy M., Levy R., Li Z., Lilleri D., Lima E. J. A. B., Linglart A., Lopez-Collazo E., Lorenzo-Salazar J. M., Louapre C., Lubetzki C., Lung K. -C., Luyt C. -E., Lye D. C., Magnone C., Marchioni E., Marioli C., Marjani M., Marques L., Pereira J. M., Pueyo D. M., Marzana I., Mata-Martinez C., Mathian A., Matos L. R. B., Matthews G. V., Mayaux J., McLaughlin-Garcia R., Meersseman P., Mege J. -L., Mekontso-Dessap A., Melki I., Meloni F., Meritet J. -F., Merlani P., Akcan O. M., Mezidi M., Millereux M., Million M., Mirault T., Mircher C., Mirsaeidi M., Mizoguchi Y., Modi B. P., Mojoli F., Moncomble E., Melian A. M., Martinez A. M., Morandeira F., Mordacq C., Mouly S. J., Munoz-Barrera A., Nafati C., Nagashima S., Nakagama Y., Neven B., Neves J. F., Ng Y. -Y., Nielly H., Medina Y. N., Cuadros E. N., Ocejo-Vinyals J. G., Okamoto K., Oualha M., Ouedrani A., Ozcelik T., Ozkaya-Parlakay A., Pagani M., Papadaki M., Parola P., Pascreau T., Paul S., Paz-Artal E., Pedraza S., Pellecer N. C. G., Pellegrini S., Perez-Fernandez X. L., Philippe A., Philippot Q., Picod A., Piralla A., Ploin D., Poissy J., Poncelet G., Poulakou G., Pouletty M. S., Pourshahnazari P., Qiu-Chen J. L., Quentric P., Rambaud T., Raoult D., Raoult V., Rebillat A. -S., Redin C., Resmini L., Ricart P., Richard J. -C., Rigo-Bonnin R., rivet N., Rocamora-Blanch G., Rodero M. P., Rodrigo C., Rodriguez L. A., Rodriguez-Palmero A., Romero C. S., Rothenbuhler A., Roux D., Rovina N., Rozenberg F., Ruch Y., Ruiz M., del Prado M. Y. R., Ruiz-Rodriguez J. C., Sabater-Riera J., Saks K., Salagianni M., Sanchez O., Sanchez-Montalva A., Sanchez-Ramon S., Schidlowski L., Schmidt J., Schmidt M., Schuetz C., Schweitzer C. E., Scolari F., Seijo L., Seminario A. G., Seng P., Senoglu S., Seppanen M., Llovich A. S., Siguret V., Siouti E., Smadja D. M., Smith N., Solanich X., Sole-Violan J., Soler C., Stella G. M., Stepanovskiy Y., Stoclin A., Taccone F., Taupin J. -L., Tavernier S. J., Tello L. V., Terrier B., Thiery G., Thorball C., Thorn K., Thumerelle C., Tolstrup M., Tomasoni G., Toubiana J., Alvarez J. T., Triantafyllia V., Trouillet-Assant S., Tsang O. T. Y., Tserel L., Tso E. Y. K., Tucci A., Oz S. K. T., Ursini M. V., Utsumi T., Vabres P., Valencia-Ramos J., Van Den Rym A. M., Vandernoot I., Velez-Santamaria V., Veliz S. P. Z., Vidigal M. C., Viel S., Villain C., Vilaire-Meunier M. E., Villar-Garcia J., Vincent A., Volokha A., Vuotto F., Wauters E., Wauters J., Wu A. K. L., Wu T. -C., Yahsi A., Yesilbas O., Yildiz M., Young B. E., Yukselmis U., Zecca M., Zuccaro V., Van Praet J., Lambrecht B. N., Van Braeckel E., Bosteels C., Hoste L., Hoste E., Bauters F., De Clercq J., Heijmans C., Slabbynck H., Naesens L., Florkin B., Boulanger C., Vanderlinden D., Berkell M., Carelli V., Malhotra S., Mattiaccio A., Pippucci T., Seri M., Tacconelli E., van Agtmael M., Algera A. G., Appelman B., van Baarle F., Bax D., Beudel M., Bogaard H. J., Bomers M., Bonta P., Bos L., Botta M., de Brabander J., de Bree G., de Bruin S., Buis D. T. P., Bugiani M., Bulle E., Cloherty O. C. A., Dijkstra M., Dongelmans D. A., Dujardin R. W. G., Elbers P., Fleuren L., Geijtenbeek S. G. T., Girbes A., Goorhuis B., Grobusch M. P., Hafkamp F., Hagens L., Hamann J., Harris V., Hemke R., Heunks S. M. H. L., Hollmann M., Horn J., Hovius J. W., de Jong M. D., Koning R., Lim E. H. T., van Mourik N., Nellen J., Nossent E. J., Paulus F., Peters E., Pina-Fuentes D. A. I., van der Poll T., Preckel B., Prins J. M., Raasveld J., Reijnders T., de Rotte M. C. F. J., Schinkel M., Schultz M. J., Schrauwen F. A. P., Schuurmans A., Schuurmans J., Sigaloff K., Slim M. A., Smeele P., Smit M., Stijnis C. S., Stilma W., Teunissen C., Thoral P., Tsonas A. M., Tuinman P. R., van der Valk M., Veelo D., Volleman C., de Vries H., Vught L. A., van Vugt M., Wouters D., Zwinderman A. H., Brouwer M. C., Wiersinga W. J., Vlaar A. P. J., Tompkins M. F., Alba C., Hupalo D. N., Rosenberger J., Sukumar G., Wilkerson M. D., Zhang X., Lack J., Oler A. J., Dobbs K., Danielson J. J., Biondi A., Bettini L. R., D'Angio' M., Beretta I., Imberti L., Sottini A., Quaresima V., Quiros-Roldan E., Rossi C., Meyts I., Zhang S. -Y., Puel A., Notarangelo L. D., Boisson-Dupuis S., Su H. C., Boisson B., Jouanguy E., Zhang Q., Abel L., and Cobat A.
Abstract: Background: We previously reported that impaired type I IFN activity, due to inborn errors of TLR3- and TLR7-dependent type I interferon (IFN) immunity or to autoantibodies against type I IFN, account for 15–20% of cases of life-threatening COVID-19 in unvaccinated patients. Therefore, the determinants of life-threatening COVID-19 remain to be identified in ~ 80% of cases. Methods: We report here a genome-wide rare variant burden association analysis in 3269 unvaccinated patients with life-threatening COVID-19, and 1373 unvaccinated SARS-CoV-2-infected individuals without pneumonia. Among the 928 patients tested for autoantibodies against type I IFN, a quarter (234) were positive and were excluded. Results: No gene reached genome-wide significance. Under a recessive model, the most significant gene with at-risk variants was TLR7, with an OR of 27.68 (95%CI 1.5–528.7, P = 1.1 × 10−4) for biochemically loss-of-function (bLOF) variants. We replicated the enrichment in rare predicted LOF (pLOF) variants at 13 influenza susceptibility loci involved in TLR3-dependent type I IFN immunity (OR = 3.70[95%CI 1.3–8.2], P = 2.1 × 10−4). This enrichment was further strengthened by (1) adding the recently reported TYK2 and TLR7 COVID-19 loci, particularly under a recessive model (OR = 19.65[95%CI 2.1–2635.4], P = 3.4 × 10−3), and (2) considering as pLOF branchpoint variants with potentially strong impacts on splicing among the 15 loci (OR = 4.40[9%CI 2.3–8.4], P = 7.7 × 10−8). Finally, the patients with pLOF/bLOF variants at these 15 loci were significantly younger (mean age [SD] = 43.3 [20.3] years) than the other patients (56.0 [17.3] years; P = 1.68 × 10−5). Conclusions: Rare variants of TLR3- and TLR7-dependent type I IFN immunity genes can underlie life-threatening COVID-19, particularly with recessive inheritance, in patients under 60 years old.
Published: 2023

27. Structural basis for impaired 5' processing of a mutant tRNA associated with defects in neuronal homeostasis.

Author: Lai, Lien B, Lai, Lien B, Lai, Stella M, Szymanski, Eric S, Kapur, Mridu, Choi, Edric K, Al-Hashimi, Hashim M, Ackerman, Susan L, Gopalan, Venkat, Lai, Lien B, Lai, Lien B, Lai, Stella M, Szymanski, Eric S, Kapur, Mridu, Choi, Edric K, Al-Hashimi, Hashim M, Ackerman, Susan L, and Gopalan, Venkat
Abstract: SignificanceUnderstanding and treating neurological disorders are global priorities. Some of these diseases are engendered by mutations that cause defects in the cellular synthesis of transfer RNAs (tRNAs), which function as adapter molecules that translate messenger RNAs into proteins. During tRNA biogenesis, ribonuclease P catalyzes removal of the transcribed sequence upstream of the mature tRNA. Here, we focus on a cytoplasmic tRNAArgUCU that is expressed specifically in neurons and, when harboring a particular point mutation, contributes to neurodegeneration in mice. Our results suggest that this mutation favors stable alternative structures that are not cleaved by mouse ribonuclease P and motivate a paradigm that may help to understand the molecular basis for disease-associated mutations in other tRNAs.
Published: 2022

28. Lin Tianmiao's Threads and the Art of Ambivalence

Author: Zhang, Natalie Lien, Lee, Hui-shu1, Zhang, Natalie Lien, Zhang, Natalie Lien, Lee, Hui-shu1, and Zhang, Natalie Lien
Abstract: This thesis examines Chinese artist Lin Tianmiao’s (1961-) usage of white cotton thread in the multimedia installations The Proliferation of Threadwinding (1995), Bound and Unbound (1997), and Braiding (1998). A socially feminized material, thread and its centrality in Lin’s installations has engendered numerous interpretations circumscribed within problematic, essentializing lenses of feminism and dissidence. Conversely, this paper argues that Lin not only uses thread to meditate on the tangled relationship between labor and gender identity, but also to enunciate ambivalent feelings towards her own experiences of womanhood—experiences especially complex as they were molded by the discordant gender ideologies of the Great Proletarian Cultural Revolution (1966-1976). Epitomizing contradictory meanings and histories, thread, an ambivalent material in its own right, complements Lin’s endeavor to visualize her attachments and repulsions toward being woman.
Published: 2022

29. Structural basis for impaired 5' processing of a mutant tRNA associated with defects in neuronal homeostasis.

Author: Lai, Lien B, Lai, Lien B, Lai, Stella M, Szymanski, Eric S, Kapur, Mridu, Choi, Edric K, Al-Hashimi, Hashim M, Ackerman, Susan L, Gopalan, Venkat, Lai, Lien B, Lai, Lien B, Lai, Stella M, Szymanski, Eric S, Kapur, Mridu, Choi, Edric K, Al-Hashimi, Hashim M, Ackerman, Susan L, and Gopalan, Venkat
Abstract: SignificanceUnderstanding and treating neurological disorders are global priorities. Some of these diseases are engendered by mutations that cause defects in the cellular synthesis of transfer RNAs (tRNAs), which function as adapter molecules that translate messenger RNAs into proteins. During tRNA biogenesis, ribonuclease P catalyzes removal of the transcribed sequence upstream of the mature tRNA. Here, we focus on a cytoplasmic tRNAArgUCU that is expressed specifically in neurons and, when harboring a particular point mutation, contributes to neurodegeneration in mice. Our results suggest that this mutation favors stable alternative structures that are not cleaved by mouse ribonuclease P and motivate a paradigm that may help to understand the molecular basis for disease-associated mutations in other tRNAs.
Published: 2022

30. Poor Not Guilty: An Experiential Street Law Education on the Criminalization of Poverty through Perspective-Taking

Author: Tran, Lien, Tran, Lien, Ezer, Tamar, Fontenot, Lily Frances, Stuzin, David, Tran, Lien, Tran, Lien, Ezer, Tamar, Fontenot, Lily Frances, and Stuzin, David
Abstract: Cities and states throughout the United States impose fines for minor offenses at every stage of the criminal justice system, trapping individuals in cycles of poverty and punishment. At the same time, almost every city has laws that punish and fine people experiencing homelessness for engaging in necessary activities, such as sleeping in public. These laws are not only cruel and a violation of basic rights but also counterproductive. Two major roadblocks to ending the criminalization of poverty are a lack of awareness and empathy. A team of designers and legal experts engaged in tandem transformational game design to create Poor Not Guilty: Fines and Fees Challenges, in which players perspective-take as someone impacted by the criminalization of such petty offenses. The challenges employ storytelling and seek to generate awareness and empathy of the systemic nature of this criminalization, as part of Street Law curriculum and advocacy supporting policy change.
Published: 2022

31. Poor Not Guilty: Fines and Fees Challenges - Advocating Against the Criminalization of Poverty through Perspective-Taking

Author: Tran, Lien, Tran, Lien, Reed, Jess, Tran, Lien, Tran, Lien, and Reed, Jess
Abstract: Cities and states throughout the United States impose fines for minor offenses at every stage of the criminal justice system. Without any means of escape from a system designed to punish poverty, millions of Americans lose their jobs, homes, and even their children. Two of the major roadblocks to change on addressing the criminalization of poverty are a lack of awareness and a lack of empathy. In order to educate audiences who are less likely to be exposed to or directly impacted by such unfair practices, a team of game designers and legal experts collaborated on Poor Not Guilty: Fines and Fees Challenges, in which players perspective-take with the goal to increase their awareness of unjust monetary penalties and reduce bias towards those who are living in poverty by experiencing the detrimental impact of criminalizing petty offenses.
Published: 2022

32. Dwell™: A Tabletop Simulation to Experientially Learn Poverty-Related Struggles

Author: Tran, Lien B., Tran, Lien B., Sanko, Jill, Salani, Deborah, Tran, Lien B., Tran, Lien B., Sanko, Jill, and Salani, Deborah
Abstract: Poverty impacts the daily lives of hundreds of thousands of individuals. It is certain that health care providers will encounter patients navigating an impoverished reality; however, few have the necessary skills to fully assist these individuals. Dwell™, a tabletop poverty simulation experience, was created with the goal of fostering players’ development of empathic service and care skills. In the game, players take on a character and household and have to stay afloat for a simulated 4-week in-game period. By engaging in perspective-taking as part of a facilitated experiential learning tool with compulsory debrief, health care students learn important lessons that can drastically improve their interactions with economically disadvantaged patients and thus enhancing patient care and professional success. The game has been evaluated with positive outcomes including when compared against other simulation-based tools addressing poverty.
Published: 2022

33. Galactic cosmic radiation exposure causes multifaceted neurocognitive impairments.

Author: Alaghband, Yasaman, Alaghband, Yasaman, Klein, Peter M, Kramár, Eniko A, Cranston, Michael N, Perry, Bayley C, Shelerud, Lukas M, Kane, Alice E, Doan, Ngoc-Lien, Ru, Ning, Acharya, Munjal M, Wood, Marcelo A, Sinclair, David A, Dickstein, Dara L, Soltesz, Ivan, Limoli, Charles L, Baulch, Janet E, Alaghband, Yasaman, Alaghband, Yasaman, Klein, Peter M, Kramár, Eniko A, Cranston, Michael N, Perry, Bayley C, Shelerud, Lukas M, Kane, Alice E, Doan, Ngoc-Lien, Ru, Ning, Acharya, Munjal M, Wood, Marcelo A, Sinclair, David A, Dickstein, Dara L, Soltesz, Ivan, Limoli, Charles L, and Baulch, Janet E
Abstract: Technological advancements have facilitated the implementation of realistic, terrestrial-based complex 33-beam galactic cosmic radiation simulations (GCR Sim) to now probe central nervous system functionality. This work expands considerably on prior, simplified GCR simulations, yielding new insights into responses of male and female mice exposed to 40-50 cGy acute or chronic radiations relevant to deep space travel. Results of the object in updated location task suggested that exposure to acute or chronic GCR Sim induced persistent impairments in hippocampus-dependent memory formation and reconsolidation in female mice that did not manifest robustly in irradiated male mice. Interestingly, irradiated male mice, but not females, were impaired in novel object recognition and chronically irradiated males exhibited increased aggressive behavior on the tube dominance test. Electrophysiology studies used to evaluate synaptic plasticity in the hippocampal CA1 region revealed significant reductions in long-term potentiation after each irradiation paradigm in both sexes. Interestingly, network-level disruptions did not translate to altered intrinsic electrophysiological properties of CA1 pyramidal cells, whereas acute exposures caused modest drops in excitatory synaptic signaling in males. Ultrastructural analyses of CA1 synapses found smaller postsynaptic densities in larger spines of chronically exposed mice compared to controls and acutely exposed mice. Myelination was also affected by GCR Sim with acutely exposed mice exhibiting an increase in the percent of myelinated axons; however, the myelin sheathes on small calibur (< 0.3 mm) and larger (> 0.5 mm) axons were thinner when compared to controls. Present findings might have been predicted based on previous studies using single and mixed beam exposures and provide further evidence that space-relevant radiation exposures disrupt critical cognitive processes and underlying neuronal network-level plasti
Published: 2023

34. Statistical analysis of the impact of class imbalance on model performance

Author: Nguyen, L. (Lien) and Nguyen, L. (Lien)
Abstract: This work studies the impact of class imbalance in data distribution on models and performance metrics. With the increasing amount of data available, new challenges arise, and one of them is unbalanced data. This problem occurs when one class in a dataset is underrepresented compared to others. The under-represented class is called the minority, while the dominant class is called the majority. In an unbalanced data problem, the number of instances in the minority class is much fewer than that in the majority class, with a ratio such as 1:99. The thesis begins with a comprehensive overview of the challenges and solutions associated with unbalanced data in machine learning. Different types of class imbalances have been defined and discussion of challenges from this issue. Next the thesis discusses various techniques for dealing with unbalanced data, including resampling and more complex algorithms such as XGboost. The thesis also presents an empirical study and results on the Caravan insurance dataset. This dataset was provided in the Coil Challenge in 2000, where participants competed to develop the best model to predict whether a customer would buy insurance for their caravan. The Caravan dataset shows that only around six percent of customers will buy insurance, making it heavily unbalanced. With this distribution, the dataset is a good candidate to study the impact of imbalance on model performance and performance metrics. Unbalanced data can cause problems in various industries, from fraud detection to credit risk management. Therefore, understanding how to deal with this issue is crucial for developing accurate machine learning models that can be used effectively across different domains. This work provides valuable insights into how to address this challenge by presenting empirical evidence and discussing commonly applied solutions. It is a helpful resource for anyone interested in machine learning and data science. Using a real business data set for
Published: 2023

35. Pre-clinical evaluation of the hypomethylating agent decitabine for the treatment of t-cell lymphoblastic lymphoma

Author: Provez, Lien, Putteman, Tom, Landfors, Mattias, Roels, Juliette, Reunes, Lindy, T’Sas, Sara, Van Loocke, Wouter, Lintermans, Béatrice, De Coninck, Stien, Thenoz, Morgan, Sleeckx, Wouter, Maćkowska-Maślak, Natalia, Taghon, Tom, Mansour, Marc R., Farah, Nadine, Norga, Koen, Vandenberghe, Peter, Kotecha, Rishi S., Goossens, Steven, Degerman, Sofie, De Smedt, Renate, Van Vlierberghe, Pieter, Provez, Lien, Putteman, Tom, Landfors, Mattias, Roels, Juliette, Reunes, Lindy, T’Sas, Sara, Van Loocke, Wouter, Lintermans, Béatrice, De Coninck, Stien, Thenoz, Morgan, Sleeckx, Wouter, Maćkowska-Maślak, Natalia, Taghon, Tom, Mansour, Marc R., Farah, Nadine, Norga, Koen, Vandenberghe, Peter, Kotecha, Rishi S., Goossens, Steven, Degerman, Sofie, De Smedt, Renate, and Van Vlierberghe, Pieter
Abstract: T-cell lymphoblastic lymphoma (T-LBL) is a rare and aggressive lymphatic cancer, often diagnosed at a young age. Patients are treated with intensive chemotherapy, potentially followed by a hematopoietic stem cell transplantation. Although prognosis of T-LBL has improved with intensified treatment protocols, they are associated with side effects and 10–20% of patients still die from relapsed or refractory disease. Given this, the search toward less toxic anti-lymphoma therapies is ongoing. Here, we targeted the recently described DNA hypermethylated profile in T-LBL with the DNA hypomethylating agent decitabine. We evaluated the anti-lymphoma properties and downstream effects of decitabine, using patient derived xenograft (PDX) models. Decitabine treatment resulted in prolonged lymphoma-free survival in all T-LBL PDX models, which was associated with downregulation of the oncogenic MYC pathway. However, some PDX models showed more benefit of decitabine treatment compared to others. In more sensitive models, differentially methylated CpG regions resulted in more differentially expressed genes in open chromatin regions. This resulted in stronger downregulation of cell cycle genes and upregulation of immune response activating transcripts. Finally, we suggest a gene signature for high decitabine sensitivity in T-LBL. Altogether, we here delivered pre-clinical proof of the potential use of decitabine as a new therapeutic agent in T-LBL.
Published: 2023
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36. Pre-clinical evaluation of the hypomethylating agent decitabine for the treatment of t-cell lymphoblastic lymphoma

Author: Provez, Lien, Putteman, Tom, Landfors, Mattias, Roels, Juliette, Reunes, Lindy, T’Sas, Sara, Van Loocke, Wouter, Lintermans, Béatrice, De Coninck, Stien, Thenoz, Morgan, Sleeckx, Wouter, Maćkowska-Maślak, Natalia, Taghon, Tom, Mansour, Marc R., Farah, Nadine, Norga, Koen, Vandenberghe, Peter, Kotecha, Rishi S., Goossens, Steven, Degerman, Sofie, De Smedt, Renate, Van Vlierberghe, Pieter, Provez, Lien, Putteman, Tom, Landfors, Mattias, Roels, Juliette, Reunes, Lindy, T’Sas, Sara, Van Loocke, Wouter, Lintermans, Béatrice, De Coninck, Stien, Thenoz, Morgan, Sleeckx, Wouter, Maćkowska-Maślak, Natalia, Taghon, Tom, Mansour, Marc R., Farah, Nadine, Norga, Koen, Vandenberghe, Peter, Kotecha, Rishi S., Goossens, Steven, Degerman, Sofie, De Smedt, Renate, and Van Vlierberghe, Pieter
Abstract: T-cell lymphoblastic lymphoma (T-LBL) is a rare and aggressive lymphatic cancer, often diagnosed at a young age. Patients are treated with intensive chemotherapy, potentially followed by a hematopoietic stem cell transplantation. Although prognosis of T-LBL has improved with intensified treatment protocols, they are associated with side effects and 10–20% of patients still die from relapsed or refractory disease. Given this, the search toward less toxic anti-lymphoma therapies is ongoing. Here, we targeted the recently described DNA hypermethylated profile in T-LBL with the DNA hypomethylating agent decitabine. We evaluated the anti-lymphoma properties and downstream effects of decitabine, using patient derived xenograft (PDX) models. Decitabine treatment resulted in prolonged lymphoma-free survival in all T-LBL PDX models, which was associated with downregulation of the oncogenic MYC pathway. However, some PDX models showed more benefit of decitabine treatment compared to others. In more sensitive models, differentially methylated CpG regions resulted in more differentially expressed genes in open chromatin regions. This resulted in stronger downregulation of cell cycle genes and upregulation of immune response activating transcripts. Finally, we suggest a gene signature for high decitabine sensitivity in T-LBL. Altogether, we here delivered pre-clinical proof of the potential use of decitabine as a new therapeutic agent in T-LBL.
Published: 2023
Full Text: View/download PDF

37. Pre-clinical evaluation of the hypomethylating agent decitabine for the treatment of t-cell lymphoblastic lymphoma

Author: Provez, Lien, Putteman, Tom, Landfors, Mattias, Roels, Juliette, Reunes, Lindy, T’Sas, Sara, Van Loocke, Wouter, Lintermans, Béatrice, De Coninck, Stien, Thenoz, Morgan, Sleeckx, Wouter, Maćkowska-Maślak, Natalia, Taghon, Tom, Mansour, Marc R., Farah, Nadine, Norga, Koen, Vandenberghe, Peter, Kotecha, Rishi S., Goossens, Steven, Degerman, Sofie, De Smedt, Renate, Van Vlierberghe, Pieter, Provez, Lien, Putteman, Tom, Landfors, Mattias, Roels, Juliette, Reunes, Lindy, T’Sas, Sara, Van Loocke, Wouter, Lintermans, Béatrice, De Coninck, Stien, Thenoz, Morgan, Sleeckx, Wouter, Maćkowska-Maślak, Natalia, Taghon, Tom, Mansour, Marc R., Farah, Nadine, Norga, Koen, Vandenberghe, Peter, Kotecha, Rishi S., Goossens, Steven, Degerman, Sofie, De Smedt, Renate, and Van Vlierberghe, Pieter
Abstract: T-cell lymphoblastic lymphoma (T-LBL) is a rare and aggressive lymphatic cancer, often diagnosed at a young age. Patients are treated with intensive chemotherapy, potentially followed by a hematopoietic stem cell transplantation. Although prognosis of T-LBL has improved with intensified treatment protocols, they are associated with side effects and 10–20% of patients still die from relapsed or refractory disease. Given this, the search toward less toxic anti-lymphoma therapies is ongoing. Here, we targeted the recently described DNA hypermethylated profile in T-LBL with the DNA hypomethylating agent decitabine. We evaluated the anti-lymphoma properties and downstream effects of decitabine, using patient derived xenograft (PDX) models. Decitabine treatment resulted in prolonged lymphoma-free survival in all T-LBL PDX models, which was associated with downregulation of the oncogenic MYC pathway. However, some PDX models showed more benefit of decitabine treatment compared to others. In more sensitive models, differentially methylated CpG regions resulted in more differentially expressed genes in open chromatin regions. This resulted in stronger downregulation of cell cycle genes and upregulation of immune response activating transcripts. Finally, we suggest a gene signature for high decitabine sensitivity in T-LBL. Altogether, we here delivered pre-clinical proof of the potential use of decitabine as a new therapeutic agent in T-LBL.
Published: 2023
Full Text: View/download PDF

38. Do the perception of gender issues and perception of internal stakeholder pressure among managers have an impact on strategic renewal? The moderation effect of external stakeholder pressure

Author: Torp, Sofie, Lien, Raina, Torp, Sofie, and Lien, Raina
Abstract: The purpose of this study was to examine any potential relationship between management’s perception of gender issues and strategic renewal, internal stakeholder pressure and strategic renewal, as well as the potential moderating influence of external stakeholder pressure on both relationships. Gender and stakeholder theory, as well as strategic renewal, are important themes in business research, although their intersection has not previously been studied to this degree. This research follows a positivist methodology and utilizes data collected from an online survey given to several hundred corporate employees, the vast majority of whom are managers. The findings show a positive correlation between managers perception of gender issues and strategic renewal, as well as internal stakeholder pressure felt by managers and strategic renewal. External stakeholder pressure was found to significantly moderate the relationship between internal stakeholder pressure and strategic renewal, but was not found to be significant in the relationship between the perception of gender issues and strategic renewal.
Published: 2023

39. HiPIMS-grown AlN buffer for threading dislocation reduction in DC-magnetron sputtered GaN epifilm on sapphire substrate

Author: Chang, Jui-Che, Tseng, Eric Nestor, Lo, Yi-Ling, Nayak, Sanjay Kumar, Lundin, Daniel, Persson, Per, Horng, Ray-Hua, Hultman, Lars, Birch, Jens, Hsiao, Ching-Lien, Chang, Jui-Che, Tseng, Eric Nestor, Lo, Yi-Ling, Nayak, Sanjay Kumar, Lundin, Daniel, Persson, Per, Horng, Ray-Hua, Hultman, Lars, Birch, Jens, and Hsiao, Ching-Lien
Abstract: Gallium nitride (GaN) epitaxial films on sapphire (Al2O3) substrates have been grown using reactive magnetron sputter epitaxy with a liquid Ga target. Threading dislocations density (TDD) of sputtered GaN films was reduced by using an inserted high-quality aluminum nitride (AlN) buffer layer grown by reactive high power impulse magnetron sputtering (R-HiPIMS) in a gas mixture of Ar and N2. After optimizing the Ar/N2 pressure ratio and deposition power, a high-quality AlN film exhibiting a narrow full-width at half-maximum (FWHM) value of the double-crystal x-ray rocking curve (DCXRC) of the AlN(0002) peak of 0.086° was obtained by R-HiPIMS. The mechanism giving rise the observed quality improvement is attributed to the enhancement of kinetic energy of the adatoms in the deposition process when operated in a transition mode. With the inserted HiPIMS-AlN as a buffer layer for direct current magnetron sputtering (DCMS) GaN growth, the FWHM values of GaN(0002) and (10 1‾ 1) XRC decrease from 0.321° to 0.087° and from 0.596° to 0.562°, compared to the direct growth of GaN on sapphire, respectively. An order of magnitude reduction from 2.7 × 109 cm−2 to 2.0 × 108 cm−2 of screw-type TDD calculated from the FWHM of the XRC data using the inserted HiPIMS-AlN buffer layer demonstrates the improvement of crystal quality of GaN. The result of TDD reduction using the HiPIMS-AlN buffer was also verified by weak beam dark-field (WBDF) cross-sectional transmission electron microscopy (TEM)., Funding agencies: This research was funded by Vetenskapsrådet (grant number 2018-04198), Energimyndigheten (grant number 46658-1), Carl Tryggers Stiftelse (grant number CTS 22:2029) and Stiftelsen Olle Engkvist Byggmästare (grant number 197-0210). The Swedish Government Strategic Research Area in Materials Science on Functional Materials at Linköping University (Faculty Grant SFO-Mat-LiU 2009-00971) is acknowledged for financial support. We acknowledge STINT foundation, Sweden, for supporting this international collaboration (grant number: MG2019-8485).
Published: 2023
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40. Self-Induced Core–Shell InAlN Nanorods: Formation and Stability Unraveled by Ab Initio Simulations

Author: Alves Machado Filho, Manoel, Hsiao, Ching-Lien, dos Santos, Renato Batista, Hultman, Lars, Birch, Jens, Kostov Gueorguiev, Gueorgui, Alves Machado Filho, Manoel, Hsiao, Ching-Lien, dos Santos, Renato Batista, Hultman, Lars, Birch, Jens, and Kostov Gueorguiev, Gueorgui
Abstract: By addressing precursor prevalence and energetics using the DFT-based synthetic growth concept (SGC), the formation mechanism of self-induced InAlN core–shell nanorods (NRs) synthesized by reactive magnetron sputter epitaxy (MSE) is explored. The characteristics of In- and Al-containing precursor species are evaluated considering the thermal conditions at a typical NR growth temperature of around 700 °C. The cohesive and dissociation energies of In-containing precursors are consistently lower than those of their Al-containing counterparts, indicating that In-containing precursors are more weakly bonded and more prone to dissociation. Therefore, In-containing species are expected to exhibit lower abundance in the NR growth environment. At increased growth temperatures, the depletion of In-based precursors is even more pronounced. A distinctive imbalance in the incorporation of Al- and In-containing precursor species (namely, AlN/AlN+, AlN2/AlN2+, Al2N2/Al2N2+, and Al2/Al2+ vs InN/InN+, InN2/InN2+, In2N2/In2N2+, and In2/In2+) is found at the growing edge of the NR side surfaces, which correlates well with the experimentally obtained core–shell structure as well as with the distinctive In-rich core and vice versa for the Al-rich shell. The performed modeling indicates that the formation of the core–shell structure is substantially driven by the precursors’ abundance and their preferential bonding onto the growing edge of the nanoclusters/islands initiated by phase separation from the beginning of the NR growth. The cohesive energies and the band gaps of the NRs show decreasing trends with an increment in the In concentration of the NRs’ core and with an increment in the overall thickness (diameter) of the NRs. These results reveal the energy and electronic reasons behind the limited growth (up to ∼25% of In atoms of all metal atoms, i.e., InxAl1–xN, x ∼ 0.25) in the NR core and may be qualitatively perceived as a limiting factor for the thickness of the grown NRs (typi
Published: 2023
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41. A facilitated social innovation : stakeholder groups using Plan-Do-Study-Act cycles for perinatal health across levels of the health system in Cao Bang province, Vietnam

Author: Bergström, Anna, Hoa, Dinh Phuong, Nga, Nguyen Thu, Hoa, Trieu, Tu, Tran Thanh, Lien, Pham Thi Lan, Trang, Tran, Wallin, Lars, Persson, Lars-Åke, Eriksson, Leif, Bergström, Anna, Hoa, Dinh Phuong, Nga, Nguyen Thu, Hoa, Trieu, Tu, Tran Thanh, Lien, Pham Thi Lan, Trang, Tran, Wallin, Lars, Persson, Lars-Åke, and Eriksson, Leif
Abstract: BACKGROUND: Universal coverage of evidence-based interventions for perinatal health, often part of evidence-based guidelines, could prevent most perinatal deaths, particularly if entire communities were engaged in the implementation. Social innovations may provide creative solutions to the implementation of evidence-based guidelines, but successful use of social innovations relies on the engagement of communities and health system actors. This proof-of-concept study aimed to assess whether an earlier successful social innovation for improved neonatal survival that employed regular facilitated Plan-Do-Study-Act meetings on the commune level was feasible and acceptable when implemented on multiple levels of the health system (52 health units) and resulted in actions with plausibly favourable effects on perinatal health and survival in Cao Bang province, northern Vietnam. METHODS: The Integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework guided the implementation and evaluation of the Perinatal Knowledge-Into-Practice (PeriKIP) project. Data collection included facilitators' diaries, health workers' knowledge on perinatal care, structured observations of antenatal care, focus group discussions with facilitators, their mentors and representatives of different actors of the initiated stakeholder groups and an individual interview with the Reproductive Health Centre director. Clinical experts assessed the relevance of the identified problems and actions taken based on facilitators' diaries. Descriptive statistics included proportions, means, and t-tests for the knowledge assessment and observations. Qualitative data were analysed by content analysis. RESULTS: The social innovation resulted in the identification of about 500 relevant problems. Also, 75% of planned actions to overcome prioritised problems were undertaken, results presented and a plan for new actions to achieve the group's goals to enhance perinatal health. The facili
Published: 2023
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42. Uncovering the Protective Neurologic Mechanisms of Hypofractionated FLASH Radiotherapy.

Author: Alaghband, Yasaman, Alaghband, Yasaman, Allen, Barrett, Kramár, Eniko, Zhang, Richard, Drayson, Olivia, Ru, Ning, Petit, Benoit, Almeida, Aymeric, Doan, Ngoc-Lien, Ballesteros-Zebadua, Paola, Vozenin, Marie-Catherine, Limoli, Charles, Wood, Marcelo, Baulch, Janet, Alaghband, Yasaman, Alaghband, Yasaman, Allen, Barrett, Kramár, Eniko, Zhang, Richard, Drayson, Olivia, Ru, Ning, Petit, Benoit, Almeida, Aymeric, Doan, Ngoc-Lien, Ballesteros-Zebadua, Paola, Vozenin, Marie-Catherine, Limoli, Charles, Wood, Marcelo, and Baulch, Janet
Abstract: UNLABELLED: Implementation of ultra-high dose-rate FLASH radiotherapy (FLASH-RT) is rapidly gaining traction as a unique cancer treatment modality able to dramatically minimize normal tissue toxicity while maintaining antitumor efficacy compared with standard-of-care radiotherapy at conventional dose rate (CONV-RT). The resultant improvements in the therapeutic index have sparked intense investigations in pursuit of the underlying mechanisms. As a preamble to clinical translation, we exposed non-tumor-bearing male and female mice to hypofractionated (3 × 10 Gy) whole brain FLASH- and CONV-RT to evaluate differential neurologic responses using a comprehensive panel of functional and molecular outcomes over a 6-month follow-up. In each instance, extensive and rigorous behavioral testing showed FLASH-RT to preserve cognitive indices of learning and memory that corresponded to a similar protection of synaptic plasticity as measured by long-term potentiation (LTP). These beneficial functional outcomes were not found after CONV-RT and were linked to a preservation of synaptic integrity at the molecular (synaptophysin) level and to reductions in neuroinflammation (CD68+ microglia) throughout specific brain regions known to be engaged by our selected cognitive tasks (hippocampus, medial prefrontal cortex). Ultrastructural changes in presynaptic/postsynaptic bouton (Bassoon/Homer-1 puncta) within these same regions of the brain were not found to differ in response to dose rate. With this clinically relevant dosing regimen, we provide a mechanistic blueprint from synapse to cognition detailing how FLASH-RT reduces normal tissue complications in the irradiated brain. SIGNIFICANCE: Functional preservation of cognition and LTP after hypofractionated FLASH-RT are linked to a protection of synaptic integrity and a reduction in neuroinflammation over protracted after irradiation times.
Published: 2023

43. Severe Acute Respiratory Syndrome Associated Infections.

Author: Luu, Brent, Luu, Brent, McCoy-Hass, Virginia, Kadiu, Teuta, Ngo, Victoria, Kadiu, Sara, Lien, Jeffrey, Luu, Brent, Luu, Brent, McCoy-Hass, Virginia, Kadiu, Teuta, Ngo, Victoria, Kadiu, Sara, and Lien, Jeffrey
Abstract: Viral infections are some of the most common sources of respiratory illness in pediatric and adult populations worldwide. Influenza and coronaviruses are viral pathogens that could lead to severe respiratory illness and death. More recently, respiratory illness from coronaviruses, accounts for more than 1 million deaths in the United States alone. This article will explore the epidemiology, pathogenesis, diagnosis, treatment, and prevention of severe acute respiratory syndrome caused by coronavirus-2, and Middle Eastern respiratory syndrome.
Published: 2023

44. Delivered complementation in planta (DCIP) enables measurement of peptide-mediated protein delivery efficiency in plants.

Author: Wang, Jeffrey, Wang, Jeffrey, Squire, Henry, Goh, Natalie, Ni, Heyuan, Lien, Edward, Wong, Cerise, González-Grandío, Eduardo, Landry, Markita, Wang, Jeffrey, Wang, Jeffrey, Squire, Henry, Goh, Natalie, Ni, Heyuan, Lien, Edward, Wong, Cerise, González-Grandío, Eduardo, and Landry, Markita
Abstract: Using a fluorescence complementation assay, Delivered Complementation in Planta (DCIP), we demonstrate cell-penetrating peptide-mediated cytosolic delivery of peptides and recombinant proteins in Nicotiana benthamiana. We show that DCIP enables quantitative measurement of protein delivery efficiency and enables functional screening of cell-penetrating peptides for in-planta protein delivery. Finally, we demonstrate that DCIP detects cell-penetrating peptide-mediated delivery of recombinantly expressed proteins such as mCherry and Lifeact into intact leaves. We also demonstrate delivery of a recombinant plant transcription factor, WUSCHEL (AtWUS), into N. benthamiana. RT-qPCR analysis of AtWUS delivery in Arabidopsis seedlings also suggests delivered WUS can recapitulate transcriptional changes induced by overexpression of AtWUS. Taken together, our findings demonstrate that DCIP offers a new and powerful tool for interrogating cytosolic delivery of proteins in plants and highlights future avenues for engineering plant physiology.
Published: 2023

45. Genome assembly and association tests identify interacting loci associated with vigor, precocity, and sex in interspecific pistachio rootstocks.

Author: Palmer, William, Pearce, S1, Palmer, William, Jacygrad, Ewelina, Sagayaradj, Sagayamary, Cavanaugh, Keri, Han, Rongkui, Bertier, Lien, Beede, Bob, Kafkas, Salih, Golino, Deborah, Preece, John, Michelmore, Richard, Palmer, William, Pearce, S1, Palmer, William, Jacygrad, Ewelina, Sagayaradj, Sagayamary, Cavanaugh, Keri, Han, Rongkui, Bertier, Lien, Beede, Bob, Kafkas, Salih, Golino, Deborah, Preece, John, and Michelmore, Richard
Abstract: Understanding the basis of hybrid vigor remains a key question in crop breeding and improvement, especially for rootstock development where F1 hybrids are extensively utilized. Full-sibling UCB-1 F1 seedling rootstocks are widely planted in commercial pistachio orchards that are generated by crossing 2 highly heterozygous outbreeding parental trees of Pistacia atlantica (female) and P. integerrima (male). This results in extensive phenotypic variability, prompting costly removal of low-yielding small trees. To identify the genetic basis of this variability, we assembled chromosome-scale genome assemblies of the parental trees of UCB-1. We genotyped 960 UCB-1 trees in an experimental orchard for which we also collected multiyear phenotypes. We genotyped an additional 1,358 rootstocks in 6 commercial pistachio orchards and collected single-year tree-size data. Genome-wide single marker association tests identified loci associated with tree size and shape, sex, and precocity. In the experimental orchard, we identified multiple trait-associated loci and a strong candidate for ZZ/ZW sex chromosomes. We found significant marker associations unique to different traits and to early vs late phenotypic measures of the same trait. We detected 2 loci strongly associated with rootstock size in commercial orchards. Pseudo-testcross classification of markers demonstrated that the trait-associated alleles for each locus were segregating in the gametes of opposite parents. These 2 loci interact epistatically to generate the bimodal distribution of tree size with undesirable small trees observed by growers. We identified candidate genes within these regions. These findings provide a foundational resource for marker development and genetic selection of vigorous pistachio UCB-1 rootstock.
Published: 2023

46. GRF-GIF chimeric proteins enhance in vitro regeneration and Agrobacterium-mediated transformation efficiencies of lettuce (Lactuca spp.).

Author: Bull, Tawni, Bull, Tawni, Debernardi, Juan, Reeves, Megan, Hill, Theresa, Bertier, Lien, Van Deynze, Allen, Michelmore, Richard, Bull, Tawni, Bull, Tawni, Debernardi, Juan, Reeves, Megan, Hill, Theresa, Bertier, Lien, Van Deynze, Allen, and Michelmore, Richard
Abstract: Key messageGRF-GIF chimeric proteins from multiple source species enhance in vitro regeneration in both wild and cultivated lettuce. In addition, they enhance regeneration in multiple types of lettuce including butterheads, romaines, and crispheads. The ability of plants to regenerate in vitro has been exploited for use in tissue culture systems for plant propagation, plant transformation, and genome editing. The success of in vitro regeneration is often genotype dependent and continues to be a bottleneck for Agrobacterium-mediated transformation and its deployment for improvement of some crop species. Manipulation of transcription factors that play key roles in plant development such as BABY BOOM, WUSCHEL, and GROWTH-REGULATING FACTORs (GRFs) has improved regeneration and transformation efficiencies in several plant species. Here, we compare the efficacy of GRF-GIF gene fusions from multiple species to boost regeneration efficiency and shooting frequency in four genotypes of wild and cultivated lettuce (Lactuca spp. L.). In addition, we show that GRF-GIFs with mutated miRNA 396 binding sites increase regeneration efficiency and shooting frequency when compared to controls. We also present a co-transformation strategy for increased transformation efficiency and recovery of transgenic plants harboring a gene of interest. This strategy will enhance the recovery of transgenic plants of other lettuce genotypes and likely other crops in the Compositae family.
Published: 2023

47. Associations of the COVID-19 pandemic with quality of life: A cross-sectional study of older-age people with and without HIV in rural Uganda.

Author: Olivieri-Mui, Brianne, Olivieri-Mui, Brianne, Hoeppner, Susanne S, Tong, Yao, Kohrt, Emma, Quach, Lien T, Saylor, Deanna, Seeley, Janet, Tsai, Alexander C, Reynolds, Zahra, Okello, Samson, Asiimwe, Stephen, Flavia, Atwiine, Sentongo, Ruth, Tindimwebwa, Edna, Meyer, Ana-Claire, Nakasujja, Noeline, Paul, Robert, Ritchie, Christine, Greene, Meredith, Siedner, Mark J, Olivieri-Mui, Brianne, Olivieri-Mui, Brianne, Hoeppner, Susanne S, Tong, Yao, Kohrt, Emma, Quach, Lien T, Saylor, Deanna, Seeley, Janet, Tsai, Alexander C, Reynolds, Zahra, Okello, Samson, Asiimwe, Stephen, Flavia, Atwiine, Sentongo, Ruth, Tindimwebwa, Edna, Meyer, Ana-Claire, Nakasujja, Noeline, Paul, Robert, Ritchie, Christine, Greene, Meredith, and Siedner, Mark J
Abstract: BackgroundCOVID-19-related lockdowns and other public health measures may have differentially affected the quality of life (QOL) of older people with and without human immunodeficiency virus (HIV) in rural Uganda.MethodsThe Quality of Life and Aging with HIV in Rural Uganda study enrolled people with and without HIV aged over 49 from October 2020 to October 2021. We collected data on COVID-19-related stressors (behavior changes, concerns, interruptions in health care, income, and food) and the participants' QOL. We used linear regression to estimate the associations between COVID-19-related stressors and QOL, adjusting for demographic characteristics, mental and physical health, and time before vs after the lockdown during the second COVID-19 wave in Uganda. Interaction between HIV and COVID-19-related stressors evaluated effect modification.ResultsWe analyzed complete data from 562 participants. Mean age was 58 (standard deviation (SD) = 7); 265 (47%) participants were female, 386 (69%) were married, 279 (50%) had HIV, and 400 (71%) were farmers. Those making ≥5 COVID-19-related behavior changes compared to those making ≤2 had worse general QOL (estimated linear regression coefficient (b) = - 4.77; 95% confidence interval (CI) = -6.61, -2.94) and health-related QOL (b = -4.60; 95% CI = -8.69, -0.51). Having access to sufficient food after the start of the COVID-19 pandemic (b = 3.10, 95% CI = 1.54, 4.66) and being interviewed after the start of the second lockdown (b = 2.79, 95% CI = 1.30, 4.28) were associated with better general QOL. Having HIV was associated with better health-related QOL (b = 5.67, 95% CI = 2.91,8.42). HIV was not associated with, nor did it modify the association of COVID-19-related stressors with general QOL.ConclusionsIn the context of the COVID-19 pandemic in an HIV-endemic, low-resource setting, there was reduced QOL among older Ugandans making multiple COVID-19 related behavioral changes. Nonetheless, good QOL during the second COVID-19 w
Published: 2023

48. An intervention pilot to facilitate harm reduction service decentralization in Vietnam.

Author: Lin, Chunqing, Lin, Chunqing, Li, Li, Le, Anh Tuan, Tran, Hoang My Lien, Pham, Thanh Duyen, Nguyen, Anh Tuan, Lin, Chunqing, Lin, Chunqing, Li, Li, Le, Anh Tuan, Tran, Hoang My Lien, Pham, Thanh Duyen, and Nguyen, Anh Tuan
Abstract: IntroductionHarm reduction services, including methadone maintenance therapy (MMT), have been decentralized to Vietnam's community health care settings. This study aims to pilot test an intervention to facilitate decentralized harm reduction service delivery in Vietnam.MethodsThe research team conducted an intervention pilot between August 2020 and May 2021 with six community MMT distribution sites in Thai Nguyen Province of Vietnam. We recruited five commune health workers (CHW) from each center (N = 30). In-person intervention training included content to correct misconceptions about harm reduction and reduce stigmatizing attitudes toward patients who use drugs and teach CHWs to self-examine and improve their service provision process. The study team developed a web-based platform to streamline CHW's patient monitoring and referral efforts. The team assessed intervention outcomes at baseline, 3-, and 6-months. CHWs in the intervention group provided acceptability ratings and feedback on the intervention at 6-months.ResultsCHWs in both intervention and control groups had similar background characteristics and outcome measures at baseline. CHWs in the intervention group, compared to those in the control group, showed a significantly higher level of improvement in adherence to service delivery protocol at 3-months. CHW in the intervention group had a significantly lower level of management-related stress compared to the control group at 6-months, although the intervention effect measured by the difference in change from baseline was not statistically significant. CHWs who participated in the final focus group reported high acceptability of the intervention.ConclusionThis intervention pilot demonstrated acceptability and promising outcomes on community-based harm reduction service delivery. Similar intervention strategies can be applied to enhance the decentralization of other chronic disease treatment services.
Published: 2023

49. HiPIMS-grown AlN buffer for threading dislocation reduction in DC-magnetron sputtered GaN epifilm on sapphire substrate

Author: Chang, Jui-Che, Tseng, Eric Nestor, Lo, Yi-Ling, Nayak, Sanjay Kumar, Lundin, Daniel, Persson, Per, Horng, Ray-Hua, Hultman, Lars, Birch, Jens, Hsiao, Ching-Lien, Chang, Jui-Che, Tseng, Eric Nestor, Lo, Yi-Ling, Nayak, Sanjay Kumar, Lundin, Daniel, Persson, Per, Horng, Ray-Hua, Hultman, Lars, Birch, Jens, and Hsiao, Ching-Lien
Abstract: Gallium nitride (GaN) epitaxial films on sapphire (Al2O3) substrates have been grown using reactive magnetron sputter epitaxy with a liquid Ga target. Threading dislocations density (TDD) of sputtered GaN films was reduced by using an inserted high-quality aluminum nitride (AlN) buffer layer grown by reactive high power impulse magnetron sputtering (R-HiPIMS) in a gas mixture of Ar and N2. After optimizing the Ar/N2 pressure ratio and deposition power, a high-quality AlN film exhibiting a narrow full-width at half-maximum (FWHM) value of the double-crystal x-ray rocking curve (DCXRC) of the AlN(0002) peak of 0.086° was obtained by R-HiPIMS. The mechanism giving rise the observed quality improvement is attributed to the enhancement of kinetic energy of the adatoms in the deposition process when operated in a transition mode. With the inserted HiPIMS-AlN as a buffer layer for direct current magnetron sputtering (DCMS) GaN growth, the FWHM values of GaN(0002) and (10 1‾ 1) XRC decrease from 0.321° to 0.087° and from 0.596° to 0.562°, compared to the direct growth of GaN on sapphire, respectively. An order of magnitude reduction from 2.7 × 109 cm−2 to 2.0 × 108 cm−2 of screw-type TDD calculated from the FWHM of the XRC data using the inserted HiPIMS-AlN buffer layer demonstrates the improvement of crystal quality of GaN. The result of TDD reduction using the HiPIMS-AlN buffer was also verified by weak beam dark-field (WBDF) cross-sectional transmission electron microscopy (TEM)., Funding agencies: This research was funded by Vetenskapsrådet (grant number 2018-04198), Energimyndigheten (grant number 46658-1), Carl Tryggers Stiftelse (grant number CTS 22:2029) and Stiftelsen Olle Engkvist Byggmästare (grant number 197-0210). The Swedish Government Strategic Research Area in Materials Science on Functional Materials at Linköping University (Faculty Grant SFO-Mat-LiU 2009-00971) is acknowledged for financial support. We acknowledge STINT foundation, Sweden, for supporting this international collaboration (grant number: MG2019-8485).
Published: 2023
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50. Self-Induced Core–Shell InAlN Nanorods: Formation and Stability Unraveled by Ab Initio Simulations

Author: Alves Machado Filho, Manoel, Hsiao, Ching-Lien, dos Santos, Renato Batista, Hultman, Lars, Birch, Jens, Kostov Gueorguiev, Gueorgui, Alves Machado Filho, Manoel, Hsiao, Ching-Lien, dos Santos, Renato Batista, Hultman, Lars, Birch, Jens, and Kostov Gueorguiev, Gueorgui
Abstract: By addressing precursor prevalence and energetics using the DFT-based synthetic growth concept (SGC), the formation mechanism of self-induced InAlN core–shell nanorods (NRs) synthesized by reactive magnetron sputter epitaxy (MSE) is explored. The characteristics of In- and Al-containing precursor species are evaluated considering the thermal conditions at a typical NR growth temperature of around 700 °C. The cohesive and dissociation energies of In-containing precursors are consistently lower than those of their Al-containing counterparts, indicating that In-containing precursors are more weakly bonded and more prone to dissociation. Therefore, In-containing species are expected to exhibit lower abundance in the NR growth environment. At increased growth temperatures, the depletion of In-based precursors is even more pronounced. A distinctive imbalance in the incorporation of Al- and In-containing precursor species (namely, AlN/AlN+, AlN2/AlN2+, Al2N2/Al2N2+, and Al2/Al2+ vs InN/InN+, InN2/InN2+, In2N2/In2N2+, and In2/In2+) is found at the growing edge of the NR side surfaces, which correlates well with the experimentally obtained core–shell structure as well as with the distinctive In-rich core and vice versa for the Al-rich shell. The performed modeling indicates that the formation of the core–shell structure is substantially driven by the precursors’ abundance and their preferential bonding onto the growing edge of the nanoclusters/islands initiated by phase separation from the beginning of the NR growth. The cohesive energies and the band gaps of the NRs show decreasing trends with an increment in the In concentration of the NRs’ core and with an increment in the overall thickness (diameter) of the NRs. These results reveal the energy and electronic reasons behind the limited growth (up to ∼25% of In atoms of all metal atoms, i.e., InxAl1–xN, x ∼ 0.25) in the NR core and may be qualitatively perceived as a limiting factor for the thickness of the grown NRs (typi
Published: 2023
Full Text: View/download PDF

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