Author: "Lloret A" / Publisher: springer nature - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Lloret A"' showing total 617 results

Start Over Author "Lloret A" Publisher springer nature

617 results on '"Lloret A"'

1. LEA-RPL: lightweight energy-aware RPL protocol for internet of things based on particle swarm optimization.

Author: Mokrani, Sabrina, Belkadi, Malika, Sadoun, Tassadit, Lloret, Jaime, and Aoudjit, Rachida
Abstract: This paper addresses the issue of quality of service routing optimization within the Internet of Things networks. We particularly focus on the energy-aware and the lightweight aspects. By recognizing the relationship between lightweight and energy-aware routing, we set out to study their combined benefits. This study aims to enhance the Routing Protocol for Low Power and Lossy Networks by integrating energy-awareness and lightweight characteristics based on the Particle Swarm Optimization algorithm. Our approach addresses energy consumption, routing overhead and decision complexity in route establishment. The principal contributions include the introduction of an objective function that considers Expected Life Time, Delay and a new proposed metric Energy Aware-Expected Transmission Count. The improvement of the Long Short Term Memory predicting inertia weight based PSO with Online Gradient Descent that is used to optimize both the parent selection process and Trickle Timer mechanism. The controlled parent switching process to solve unnecessary and frequent changes. Our approach is validated through simulations in Contiki COOJA, with thorough comparisons with some existing protocols based on packet delivery ratio, average energy consumption, convergence time, control overhead, average end-to-end delay and average parent switching as performance metrics. The results reveal that our approach performs better. Depending on the protocol used for comparison, our approach reduced parent switching by 42.59–61.73%, convergence time by 20.31–66.06%, control overhead by 14.4–23.64%, energy consumption by 29.86–49.6%, end-to-end delay by 7.66–40.81% and increased packet delivery ratio by 2–42.92%. [ABSTRACT FROM AUTHOR]
Published: 2025
Full Text: View/download PDF

2. The replicative helicase CMG is required for the divergence of cell fates during asymmetric cell division in vivo.

Author: Memar, Nadin, Sherrard, Ryan, Sethi, Aditya, Fernandez, Carla Lloret, Schmidt, Henning, Lambie, Eric J., Poole, Richard J., Schnabel, Ralf, and Conradt, Barbara
Subjects: CHROMOSOME replication, DNA denaturation, CELL division, CAENORHABDITIS elegans, STEM cells
Abstract: We report that the eukaryotic replicative helicase CMG (Cdc45-MCM-GINS) is required for differential gene expression in cells produced by asymmetric cell divisions in C. elegans. We found that the C. elegans CMG component, PSF-2 GINS2, is necessary for transcriptional upregulation of the pro-apoptotic gene egl-1 BH3-only that occurs in cells programmed to die after they are produced through asymmetric cell divisions. We propose that CMG's histone chaperone activity causes epigenetic changes at the egl-1 locus during replication in mother cells, and that these changes are required for egl-1 upregulation in cells programmed to die. We find that PSF-2 is also required for the divergence of other cell fates during C. elegans development, suggesting that this function is not unique to egl-1 expression. Our work uncovers an unexpected role of CMG in cell fate decisions and an intrinsic mechanism for gene expression plasticity in the context of asymmetric cell division. Cell fate choices, including developmental cell death, are often driven by asymmetric cell division, though what determinants drive these choices remain unclear. Here they show that the evolutionarily conserved CMG complex, best known for its role in unwinding DNA during chromosome replication, is also required for cell fate divergence during asymmetric cell divisions in C. elegans development. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

3. An efficient model for vehicular ad hoc networks using machine learning and high-performance computing.

Author: Tripathi, Animesh, Prakash, Shiv, Tiwari, Pradeep Kumar, Lloret, Jaime, and Shukla, Narendra Kumar
Subjects: MACHINE learning, ERROR rates, ROAD safety measures, VEHICULAR ad hoc networks, TREES
Abstract: Vehicular ad hoc networks (VANETs) are recent advancements that permit vehicles to communicate with infrastructure and other vehicles, improving road safety and traffic efficiency. One of the difficulties in constructing and maintaining VANETs deals with the consequences of blockage, it may occur when buildings, trees, or other obstructions block radio signals between vehicles. However, the presence of vehicles as obstacles can severely impact the performance of VANETs. In this paper, an efficient machine learning (ML) model is developed to identify the impact of vehicle obstacles in VANETs. The proposed optimizable tree ML model showed better results in comparison to the other existing models. The results of the proposed model are superior as compared with other existing models in terms of nine performance measures namely, recall, specificity, balanced accuracy, accuracy, error rate, precision, F1 score, FNR and FPR. The values of these nine performance matrices for the proposed optimizable tree ML model are 0.99, 0.99, 0.99, 0.99, 0.01, 0.99, 0.99, 0.01, and 0.01 respectively. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

4. ORF, an operational framework to measure resilience in social–ecological systems: the forest case study.

Author: Lloret, Francisco, Hurtado, Pilar, Espelta, Josep Maria, Jaime, Luciana, Nikinmaa, Laura, Lindner, Marcus, and Martínez-Vilalta, Jordi
Subjects: FOREST resilience, EMPIRICAL research, TERMS & phrases
Abstract: Resilience is commonly addressed when dealing with the sustainable planning and management of social–ecological systems, but we lack a unified framework for its quantitative assessment and application. We present an operational resilience framework (ORF) based on recognizing and relating several elements: system variables (e.g., ecosystem services), disturbances and stressors acting at given spatiotemporal scales, a reference state, and metrics comparing the observed system variables to the reference state. These elements fit into a rationale aimed at identifying resilience predictors suitable to be managed and co-drivers which describe non-manageable context, reflecting the mechanisms involved in resilience. By a systematic search of the presence of the ORF concepts in 453 empirical studies assessing resilience, we corroborate that ORF can be applied to studies on forest social–ecological systems. This literature survey shows that ORF elements are commonly recognized, although the logical narrative relating them is not always explicit, particularly in socioeconomic-focused studies. We advocate that the proposed ORF allows to standardize the terminology and to frame and measure resilience, allowing sounder comparisons and better-supported recommendations for the improvement of resilience in social–ecological systems, particularly in forest systems. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

5. Inter-reader agreement of pancreatic adenocarcinoma resectability assessment with photon counting versus energy integrating detector CT.

Author: Kim, Jesi, Mabud, Tarub, Huang, Chenchan, Lloret del Hoyo, Juan, Petrocelli, Robert, Vij, Abhinav, and Dane, Bari
Subjects: MESENTERIC veins, CELIAC artery, HEPATIC artery, PHOTON counting, PORTAL vein, MESENTERIC artery
Abstract: Purpose: To compare the inter-reader agreement of pancreatic adenocarcinoma resectability assessment at pancreatic protocol photon-counting CT (PCCT) with conventional energy-integrating detector CT (EID-CT). Methods: A retrospective single institution database search identified all contrast-enhanced pancreatic mass protocol abdominal CT performed at an outpatient facility with both a PCCT and EID-CT from 4/11/2022 to 10/30/2022. Patients without pancreatic adenocarcinoma were excluded. Four fellowship-trained abdominal radiologists, blinded to CT type, independently assessed vascular tumor involvement (uninvolved, abuts ≤ 180°, encases > 180°; celiac, superior mesenteric artery (SMA), common hepatic artery (CHA), superior mesenteric vein (SMV), main portal vein), the presence/absence of metastases, overall tumor resectability (resectable, borderline resectable, locally advanced, metastatic), and diagnostic confidence. Fleiss's kappa was used to calculate inter-reader agreement. CTDIvol was recorded. Radiation dose metrics were compared with a two-sample t-test. A p <.05 indicated statistical significance. Results: 145 patients (71 men, mean[SD] age: 66[9] years) were included. There was substantial inter-reader agreement, for celiac artery, SMA, and SMV involvement at PCCT (kappa = 0.61–0.69) versus moderate agreement at EID-CT (kappa = 0.56–0.59). CHA had substantial inter-reader agreement at both PCCT (kappa = 0.67) and EIDCT (kappa = 0.70). For metastasis identification, radiologists had substantial inter-reader agreement at PCCT (kappa = 0.78) versus moderate agreement at EID-CT (kappa = 0.56). CTDIvol for PCCT and EID-CT were 16.9[7.4]mGy and 29.8[26.6]mGy, respectively (p <.001). Conclusion: There was substantial inter-reader agreement for involvement of 4/5 major peripancreatic vessels (celiac artery, SMA, CHA, and SMV) at PCCT compared with 2/5 for EID-CT. PCCT also afforded substantial inter-reader agreement for metastasis detection versus moderate agreement at EID-CT with statistically significant radiation dose reduction. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

6. Shaping and enhancing resilient forests for a resilient society.

Author: Cantarello, Elena, Jacobsen, Jette Bredahl, Lloret, Francisco, and Lindner, Marcus
Subjects: SCIENTIFIC literature, FOREST resilience, FOREST policy, LITERATURE reviews, CLIMATE change, ECOSYSTEM services
Abstract: The world is currently facing uncertainty caused by environmental, social, and economic changes and by political shocks. Fostering social-ecological resilience by enhancing forests' ability to provide a range of ecosystem services, including carbon sequestration, habitat provision, and sustainable livelihoods, is key to addressing such uncertainty. However, policy makers and managers currently lack a clear understanding of how to operationalise the shaping of resilience through the combined challenges of climate change, the biodiversity crisis, and changes in societal demand. Based on a scientific literature review, we identified a set of actions related to ecosystem services, biodiversity conservation, and disturbance and pressure impacts that forest managers and policy makers should attend to enhance the resilience of European forest systems. We conclude that the resilience shaping of forests should (1) adopt an operational approach, which is currently lacking, (2) identify and address existing and future trade-offs while reinforcing win–wins and (3) attend to local particularities through an adaptive management approach. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

7. UBE2D3 Facilitates NHEJ by Orchestrating ATM Signalling through Multi-level Control of RNF168

Author: Universidad de Sevilla. Departamento de Biología Celular, Yalçin, Zeliha, Lam, Shiu Yeung, Peuscher, Marieke H., van der Torre, Jaco, Zhu, Sha, Iyengar, Prasanna V., Salas Lloret, Daniel, de Krijger, Inge, Moatti, Nathalie, van der Lugt, Ruben, González Prieto, Román, Jacobs, Jacqueline J.L., Universidad de Sevilla. Departamento de Biología Celular, Yalçin, Zeliha, Lam, Shiu Yeung, Peuscher, Marieke H., van der Torre, Jaco, Zhu, Sha, Iyengar, Prasanna V., Salas Lloret, Daniel, de Krijger, Inge, Moatti, Nathalie, van der Lugt, Ruben, González Prieto, Román, and Jacobs, Jacqueline J.L.
Abstract: Maintenance of genome integrity requires tight control of DNA damage response (DDR) signalling and repair, with phosphorylation and ubiquitination representing key elements. How these events are coordinated to achieve productive DNA repair remains elusive. Here we identify the ubiquitin-conjugating enzyme UBE2D3 as a regulator of ATM kinase-induced DDR that promotes non-homologous end-joining (NHEJ) at telomeres. UBE2D3 contributes to DDR-induced chromatin ubiquitination and recruitment of the NHEJ-promoting factor 53BP1, both mediated by RNF168 upon ATM activation. Additionally, UBE2D3 promotes NHEJ by limiting RNF168 accumulation and facilitating ATM-mediated phosphorylation of KAP1-S824. Mechanistically, defective KAP1-S824 phosphorylation and telomeric NHEJ upon UBE2D3-deficiency are linked to RNF168 hyperaccumulation and aberrant PP2A phosphatase activity. Together, our results identify UBE2D3 as a multi-level regulator of NHEJ that orchestrates ATM and RNF168 activities. Moreover, they reveal a negative regulatory circuit in the DDR that is constrained by UBE2D3 and consists of RNF168- and phosphatase-mediated restriction of KAP1 phosphorylation.
Published: 2024

8. An optimal secure and reliable certificateless proxy signature for industrial internet of things.

Author: Ullah, Rafiq, Mehmood, Amjad, Khan, Muhammad Altaf, Maple, Carsten, and Lloret, Jaime
Subjects: INTERNET of things, ELLIPTIC curves, PROCESS capability, PUBLIC key cryptography, SMART devices, FORGERY
Abstract: Certificateless Proxy Signature (CLPS) offers a comprehensive authentication mechanism to ensure the optimal solutions from modern forgery attacks in Industrial Internet of Things (IIoTs) environment. CLPS is part of certificateless public key cryptography (CL-PKC) and has the benefits of eradicating many issues like key distribution problem. Although costly computational processing capabilities are consumed by smart devices during authentication process. This article proposed an authentication scheme for CLPS by using the mathematical cryptographic curve concepts of Hyper Elliptic Curve (HEC) to provide a secure and optimized communication approach in IIoTs environment. The arises key distribution problem in CLPS is also fixed. The scrutinized security analysis of proxy signature and delegation signature were performed to tackle different attacks like Machine-in-the-middle Attack (MiTM), Replay Attack, Key Replacement Attack, Impersonation Attack, and Chosen Message Attack. Due to HEC-DLP the forgery attack cannot succeeded. Finally, the proposed work is formally verified through the AVISPA tool. The comprehensive performance evaluation shows that the total computational cost is reduced to 49.48% and the communication overhead size is reduced to 49.57% with a comparative analysis of existing schemes. Thus, the proposed approach eradicates key distribution problems with an equal security level of RSA and ECC. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

9. Deconstructing neutrophil to lymphocyte ratio (NLR) in early breast cancer: lack of prognostic utility and biological correlates across tumor subtypes.

Author: Garcia-Torralba, Esmeralda, Pérez Ramos, Miguel, Ivars Rubio, Alejandra, Navarro Manzano, Esther, Blaya Boluda, Noel, Lloret Gil, Miguel, Aller, Alberto, de la Morena Barrio, Pilar, García Garre, Elisa, Martínez Díaz, Francisco, García Molina, Francisco, Chaves Benito, Asunción, García-Martínez, Elena, and Ayala de la Peña, Francisco
Abstract: Purpose: The prognostic utility and biological correlates of neutrophil to lymphocyte ratio (NLR), a potential biomarker of the balance between immune response and the inflammatory status, are still uncertain in breast cancer (BC). Methods: We analysed a cohort of 959 women with early breast cancer, mostly treated with neoadjuvant or adjuvant chemotherapy. Clinical and pathological data, survival, NLR (continuous and categorical) and stromal tumor infiltrating lymphocytes (sTIL) were evaluated. Results: NLR was only weakly associated with Ki67, while no association was found for grade, histology, immunohistochemical subtype or stage. Lymphocyte infiltration of the tumor did not correlate with NLR (Rho: 0.05, p = 0.30). These results were similar in the whole group and across the different BC subtypes, with no differences in triple negative BC. Relapse free interval (RFI), breast cancer specific survival (BCSS) and overall survival (OS) changed according to pre-treatment NLR neither in the univariate nor in the multivariate Cox models (RFI: HR 0.948, p = 0.61; BCSS: HR 0.920, p = 0.57; OS: HR 0.96, p = 0.59). Conclusion: These results question the utility of NLR as a prognostic biomarker in early breast cancer and suggest the lack of correlation of NLR with tumor microenvironment immune response. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

10. UBE2D3 facilitates NHEJ by orchestrating ATM signalling through multi-level control of RNF168.

Author: Yalçin, Zeliha, Lam, Shiu Yeung, Peuscher, Marieke H., van der Torre, Jaco, Zhu, Sha, Iyengar, Prasanna V., Salas-Lloret, Daniel, de Krijger, Inge, Moatti, Nathalie, van der Lugt, Ruben, Falcone, Mattia, Cerutti, Aurora, Bleijerveld, Onno B., Hoekman, Liesbeth, González-Prieto, Román, and Jacobs, Jacqueline J. L.
Subjects: DNA repair, UBIQUITIN-conjugating enzymes, AUTOMATED teller machines, GENETIC testing
Abstract: Maintenance of genome integrity requires tight control of DNA damage response (DDR) signalling and repair, with phosphorylation and ubiquitination representing key elements. How these events are coordinated to achieve productive DNA repair remains elusive. Here we identify the ubiquitin-conjugating enzyme UBE2D3 as a regulator of ATM kinase-induced DDR that promotes non-homologous end-joining (NHEJ) at telomeres. UBE2D3 contributes to DDR-induced chromatin ubiquitination and recruitment of the NHEJ-promoting factor 53BP1, both mediated by RNF168 upon ATM activation. Additionally, UBE2D3 promotes NHEJ by limiting RNF168 accumulation and facilitating ATM-mediated phosphorylation of KAP1-S824. Mechanistically, defective KAP1-S824 phosphorylation and telomeric NHEJ upon UBE2D3-deficiency are linked to RNF168 hyperaccumulation and aberrant PP2A phosphatase activity. Together, our results identify UBE2D3 as a multi-level regulator of NHEJ that orchestrates ATM and RNF168 activities. Moreover, they reveal a negative regulatory circuit in the DDR that is constrained by UBE2D3 and consists of RNF168- and phosphatase-mediated restriction of KAP1 phosphorylation. Ubiquitin system factors are critical regulators of DNA repair pathways. Through a functional genetic screen, the authors identify a novel role of ubiquitin-conjugating enzyme UBE2D3 in promoting DNA repair at deprotected telomeres by limiting the accumulation of RNF168 and promoting ample ATM-dependent phosphorylation of KAP1. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

11. Spatiotemporal organization of ant foraging from a complex systems perspective.

Author: Cristín, Javier, Fernández-López, Pol, Lloret-Cabot, Roger, Genovart, Meritxell, Méndez, Viçenc, Bartumeus, Frederic, and Campos, Daniel
Subjects: ANT colonies, MACHINE learning, ANTS, INFORMATION theory, SYSTEMS theory
Abstract: We use complex systems science to explore the emergent behavioral patterns that typify eusocial species, using collective ant foraging as a paradigmatic example. Our particular aim is to provide a methodology to quantify how the collective orchestration of foraging provides functional advantages to ant colonies. For this, we combine (i) a purpose-built experimental arena replicating ant foraging across realistic spatial and temporal scales, and (ii) a set of analytical tools, grounded in information theory and spin-glass approaches, to explore the resulting data. This combined approach yields computational replicas of the colonies; these are high-dimensional models that store the experimental foraging patterns through a training process, and are then able to generate statistically similar patterns, in an analogous way to machine learning tools. These in silico models are then used to explore the colony performance under different resource availability scenarios. Our findings highlight how replicas of the colonies trained under constant and predictable experimental food conditions exhibit heightened foraging efficiencies, manifested in reduced times for food discovery and gathering, and accelerated transmission of information under similar conditions. However, these same replicas demonstrate a lack of resilience when faced with new foraging conditions. Conversely, replicas of colonies trained under fluctuating and uncertain food conditions reveal lower efficiencies at specific environments but increased resilience to shifts in food location. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

12. Upscaling earth formworks: 3D printing strategies for material optimised reinforced concrete structures.

Author: Cutajar, Sacha, Dielemans, Gido, Krakovska, Ema, Dorresteijn, Evelien, Mai, Inka, Lowke, Dirk, Doerfler, Kathrin, and Lloret-Fritschi, Ena
Published: 2024
Full Text: View/download PDF

13. BRCA1/BARD1 ubiquitinates PCNA in unperturbed conditions to promote continuous DNA synthesis.

Author: Salas-Lloret, Daniel, García-Rodríguez, Néstor, Soto-Hidalgo, Emily, González-Vinceiro, Lourdes, Espejo-Serrano, Carmen, Giebel, Lisanne, Mateos-Martín, María Luisa, de Ru, Arnoud H., van Veelen, Peter A., Huertas, Pablo, Vertegaal, Alfred C. O., and González-Prieto, Román
Abstract: Deficiencies in the BRCA1 tumor suppressor gene are the main cause of hereditary breast and ovarian cancer. BRCA1 is involved in the Homologous Recombination DNA repair pathway and, together with BARD1, forms a heterodimer with ubiquitin E3 activity. The relevance of the BRCA1/BARD1 ubiquitin E3 activity for tumor suppression and DNA repair remains controversial. Here, we observe that the BRCA1/BARD1 ubiquitin E3 activity is not required for Homologous Recombination or resistance to Olaparib. Using TULIP2 methodology, which enables the direct identification of E3-specific ubiquitination substrates, we identify substrates for BRCA1/BARD1. We find that PCNA is ubiquitinated by BRCA1/BARD1 in unperturbed conditions independently of RAD18. PCNA ubiquitination by BRCA1/BARD1 avoids the formation of ssDNA gaps during DNA replication and promotes continuous DNA synthesis. These results provide additional insight about the importance of BRCA1/BARD1 E3 activity in Homologous Recombination. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

14. Load based dynamic channel allocation model to enhance the performance of device-to-device communication in WPAN.

Author: Logeshwaran, J., Shanmugasundaram, R. N., and Lloret, Jaime
Subjects: WIRELESS personal area networks, DYNAMIC loads, COMPUTER network traffic, WIRELESS mesh networks
Abstract: The modern communication network has advanced to such an extent that it is now possible for devices within a wireless personal area network (WPAN) to communicate among themselves directly. However, the limited shared radio resources of a WPAN lead to numerous issues, such as cross-layer interference and data collisions, which wind up affecting the quality of communication. A load based dynamic channel allocation (LB-DCA) model has been proposed to enhance the performance of device-to-device communication in WPAN. This model uses several control schemes in collaboration with interference estimation and channel load balancing mechanisms to allocate and manage the radio resources efficiently. The objective of this model is to achieve high throughput, low interference and low energy consumption. The control schemes implemented are based on distributed coordination and a cell-splitting approach. These schemes are utilized to estimate the channel usage and number of active nodes in a network. The interference estimation is done by using a new efficiency formula. Further, channel load balancing takes into account the hops and load factor values. The proposed model obtained 98.58% CSI, 95.86% MCC, 96.35% delta-P, 97.96% FMI, 99.83% BMI, 21.52% enhanced spectrum efficiency, 16.38% enhanced scalability, 18.79% enhanced signal quality, 18.64% enhanced power control and 18.89% enhanced energy efficiency. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

15. Are School-Based Interventions Effective in Preventing Internet Misuse? A Systematic Review.

Author: Martínez-Hernández, Nieves and Lloret-Irles, Daniel
Abstract: Problems related to the use of the internet have triggered the appearance of internet addiction. With this problem comes the need for prevention. The objective of this study is to update the knowledge about the effectiveness of internet addiction prevention programs in schools. The specific aims are: (1) to identify the objectives of school's prevention programs, (2) to analyse the components and instruments used, (3) to evaluate the quality of the relevant studies and (4) to compare the results of the publications. A search with the terms "Internet", "Internet Use Disorder", "addiction", "prevention", "school", "effectiveness", and "prevention program" was carried out in 10 bibliographic databases in August 2021. For the selection of articles, the 25 quality criteria of the CONSORT 2010 list were used. Only articles that evaluated school prevention programs and had a quality score greater than 10 were selected. The results are shown in three tables. Eleven publications that met the inclusion criteria were identified. The measurement scales used are very heterogeneous. Ten of the 11 programs were effective in preventing adolescent internet misuse, abuse, or addiction. Increasing students' self-control reduces the problem of internet abuse. The validity of the results is discussed considering the methodological quality of the studies. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

16. Physical and 3D numerical modelling of reinforcements pullout test.

Author: Damians, Ivan P., Moncada, Aníbal, Olivella, Sebastià, Lloret, Antonio, and Josa, Alejandro
Subjects: REINFORCED soils
Abstract: This paper reports results of laboratory and 3D numerical modeled pull-out tests with steel ladders and polymeric strip reinforcements. These types of reinforcement are commonly used in reinforced soil walls constructed with concrete facing elements. Laboratory pull-out tests are required to determine accurate and realistic pull-out strength values considering the interaction of specific reinforcement and backfill materials under different confining pressures (i.e., trying to simulate the different reinforcement layer arrangements and load conditions in actual reinforced soil walls). International design Codes for reinforced soil walls provide default values for pull-out strength. However, in many cases, default values are too conservative and/or are not strictly specified for particular reinforcement types. Pull-out tests can be difficult and expensive to perform, thus not being common nor worth for the vast majority of reinforced soil wall projects. Consequently, calibrated numerical models can be useful to predict pull-out response under site-specific conditions, and provide further understanding of the mechanisms involved in the soil-reinforcement interaction. Details of the numerical approach, including relevant aspects of the soil-reinforcement interfaces, are described. Examples of calibrated numerical predictions for pull-out loads, displacements, and soil-dilatancy effects are presented. The influence of reinforcement, soil and interface stiffnesses is shown. Numerical results provide useful insight for future modelling works of the complex interaction between type-specific backfill materials and reinforcement element, relevant for investigation and/or practical design of reinforced soil walls. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

17. Oral manifestations in women using hormonal contraceptive methods: a systematic review.

Author: Rojo, Marta García, Lloret, Miguel Ramón Pecci, and Gironés, Julia Guerrero
Abstract: Objectives: To investigate the oral manifestations in women of reproductive age using hormonal contraceptive methods. Materials and methods: This review is based on the PRISMA statement. A literature search incorporated observational studies from the last 21 years. An investigative question was formulated using the PICO model, studies were selected, and a quality analysis was performed using the modified STROBE guidelines. A bibliometric analysis was performed, and the data were examined. Results: Thirteen articles were included, with the majority evaluating periodontal status. Others analyzed factors such as the presence of alveolar osteitis, oral candidiasis, and salivary microbiome dysbiosis. Ten articles were deemed to have a low risk of bias. Conclusions: Hormonal contraceptives may increase the risk of alveolar osteitis following tooth extraction and increase the presence of the Candida species in the oral cavity. They also affect the periodontium, such as the frequent development of gingivitis, but do not lead to changes in the salivary microbiome. Clinical relevance: The increasing number of women using hormonal contraceptives and the knowledge that these contraceptives can produce oral cavity alterations underscore the need to evaluate the oral manifestations found in these women. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

18. Molecular quantitative trait loci in reproductive tissues impact male fertility in cattle.

Author: Mapel, Xena Marie, Kadri, Naveen Kumar, Leonard, Alexander S., He, Qiongyu, Lloret-Villas, Audald, Bhati, Meenu, Hiltpold, Maya, and Pausch, Hubert
Subjects: LOCUS (Genetics), MALE reproductive organs, SEMEN, VAS deferens, SEMEN analysis, GENETIC engineering, CATTLE fertility, MALE infertility, GENE expression
Abstract: Breeding bulls are well suited to investigate inherited variation in male fertility because they are genotyped and their reproductive success is monitored through semen analyses and thousands of artificial inseminations. However, functional data from relevant tissues are lacking in cattle, which prevents fine-mapping fertility-associated genomic regions. Here, we characterize gene expression and splicing variation in testis, epididymis, and vas deferens transcriptomes of 118 mature bulls and conduct association tests between 414,667 molecular phenotypes and 21,501,032 genome-wide variants to identify 41,156 regulatory loci. We show broad consensus in tissue-specific and tissue-enriched gene expression between the three bovine tissues and their human and murine counterparts. Expression- and splicing-mediating variants are more than three times as frequent in testis than epididymis and vas deferens, highlighting the transcriptional complexity of testis. Finally, we identify genes (WDR19, SPATA16, KCTD19, ZDHHC1) and molecular phenotypes that are associated with quantitative variation in male fertility through transcriptome-wide association and colocalization analyses. Investigating the genetics of male fertility requires comprehensive genotype and phenotype data. Here, the authors characterize the transcriptional complexity of bovine male reproductive tissues to identify loci associated with male fertility. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

19. Lateral-type posterior fossa ependymomas in pediatric patients: a national collaborative study.

Author: Miranda-Lloret, Pablo, Plaza-Ramírez, Estela, López-Guerrero, Antonio, López-Bermeo, Diego, García-Campos, Teresa, Vázquez-Sufuentes, Silvia, Munárriz, Pablo M., López-García, Elena, Londoño-Quiroz, Alejandra, Ferreras-García, Cristina, García-Conde, Mario, Saceda-Gutiérrez, Javier, Giménez-Pando, Jorge, Pancucci, Giovanni, and Iglesias-Moroño, Sara
Subjects: *CHILD patients, *EPENDYMOMA, *INFRATENTORIAL brain tumors, *PROGRESSION-free survival, *LOG-rank test, *CRANIAL nerves, *MULTIVARIATE analysis
Abstract: Purpose: To review a multicentric series of lateral-type posterior fossa ependymomas operated in the last ten years and to analyze the factors related to clinical evolution and tumor survival. Methods: Descriptive, retrospective study. Active members of the Spanish Society of Pediatric Neurosurgery were invited to participate in this multicentric study. Clinical and radiological data were incorporated to an open database. The role of histologic grade, grade of resection, postoperative morbidities, and clinical follow-up was evaluated through bivariate associations (chi-square), Kaplan–Meier's curves (log-rank test), and multivariate analysis (binary logistic regression). Results: Fourteen centers entered the study, and 25 cases with a minimum follow-up of 6 months were included. There were 13 boys and 12 girls with a mean age close to 3 years. Mean tumor volume at diagnosis was over 60 cc. A complete resection was achieved in 8 patients and a near-total resection in 5 cases. Fifteen tumors were diagnosed as ependymoma grade 2 and ten as ependymoma grade 3. Major morbidity occurred postoperatively in 14 patients but was resolved in twelve within 6 months. There were six cases of death and 11 cases of tumor progression along the observation period. Mean follow-up was 44.8 months. Major morbidity was significantly associated with histologic grade but not with the degree of resection. Overall and progression-free survival were significantly associated with complete surgical resection. At the last follow-up, 16 patients carried a normal life, and three displayed a mild restriction according to Lansky's scale. Conclusions: Lateral-type posterior fossa ependymomas constitute a specific pathologic and clinical tumor subtype with bad prognosis. Gross total resection is the goal of surgical treatment, for it significantly improves prognosis with no additional morbidity. Neurological deficits associated to lower cranial nerve dysfunction are common, but most are transient. Deeper genetic characterization of these tumors may identify risk factors that guide new treatments and stratification of adjuvant therapies. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

20. Bark beetle outbreaks in coniferous forests: a review of climate change effects.

Author: Jaime, Luciana, Batllori, Enric, and Lloret, Francisco
Subjects: BARK beetles, CONIFEROUS forests, FOREST microclimatology, EFFECT of human beings on climate change, EXTREME weather, CLIMATE change
Abstract: Extreme weather episodes related to anthropogenic climate change have enhanced the frequency and magnitude of bark beetle disturbance, causing worldwide mortality of forests in the last decades. Changes in temperature and precipitation regimes are altering the relationships between host tree populations and associated bark beetle species, as these insect-host systems are highly sensitive to climate extremes. However, it is not fully understood how climate interacts with the different components of bark beetle-host systems, and thus, the existing knowledge is still insufficient to face the challenges of understanding the system response to changing environmental conditions. Here, we review the most important findings of the influence of climatic factors on the dynamics of bark beetle and host tree populations at different spatiotemporal scales. Future research should integrate how the effects of climate on individual tree responses to beetle attack scale up to outbreak patterns at regional scale. Recent advances in plant physiology, disturbance ecology, ecological niche modelling, and remote sensing can further our understanding of the risks of bark beetle disturbance in forest ecosystems under changing climate. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

21. Effects of Gestational Intermittent Hypoxia on Placental Morphology and Fetal Development in a Murine Model of Sleep Apnea

Author: Universidad de Valladolid, Valverde-Pérez, Esther, Prieto-Lloret, Jesús, Gonzalez-Obeso, Elvira, Cabero, M. I., Nieto, María Luisa, Pablos, Marta, Obeso, Ana, Gómez-Niño, A., Cárdaba-García, Rosa M., Rocher, Asunción, Olea, Elena, Universidad de Valladolid, Valverde-Pérez, Esther, Prieto-Lloret, Jesús, Gonzalez-Obeso, Elvira, Cabero, M. I., Nieto, María Luisa, Pablos, Marta, Obeso, Ana, Gómez-Niño, A., Cárdaba-García, Rosa M., Rocher, Asunción, and Olea, Elena
Abstract: Obstructive sleep apnea (OSA) during pregnancy is characterized by episodes of intermittent hypoxia (IH) during sleep, resulting in adverse health outcomes for mother and offspring. Despite a prevalence of 8-20% in pregnant women, this disorder is often underdiagnosed.We have developed a murine model of gestational OSA to study IH effects on pregnant mothers, placentas, fetuses, and offspring. One group of pregnant rats was exposed to IH during the last 2 weeks of gestation (GIH). One day before the delivery date, a cesarean section was performed. Other group of pregnant rats was allowed to give birth at term to study offspring's evolution.Preliminary results showed no significant weight differences in mothers and fetuses. However, the weight of GIH male offspring was significantly lower than the controls at 14 days (p < 0.01). The morphological study of the placentas showed an increase in fetal capillary branching, expansion of maternal blood spaces, and number of cells of the external trophectoderm in the tissues from GIH-exposed mothers. Additionally, the placentas from the experimental males were enlarged (p < 0.05). Further studies are needed to follow the long-term evolution of these changes to relate the histological findings of the placentas with functional development of the offspring in adulthood.
Published: 2023

22. Intermittent Hypoxia and Diet-Induced Obesity on the Intestinal Wall Morphology in a Murine Model of Sleep Apnea

Author: Valverde-Pérez, Esther, Olea, Elena, Obeso, Ana, Prieto-Lloret, Jesús, Rocher, Asunción, Gonzalez-Obeso, Elvira, Valverde-Pérez, Esther, Olea, Elena, Obeso, Ana, Prieto-Lloret, Jesús, Rocher, Asunción, and Gonzalez-Obeso, Elvira
Abstract: This work analyzes the impact of two conditions, intermittent hypoxia exposure and high-fat diet in rats as models of sleep apnea. We studied the autonomic activity and histological structure of the rat jejunum and whether the overlapping of both conditions, as often observed in patients, induces more deleterious effects on the intestinal barrier. We found alterations in jejunum wall histology, predominantly in HF rats, based on increased crypt depth and submucosal thickness, as well as decreased muscularis propria thickness. These alterations were maintained with the IH and HF overlap. An increase in the number and size of goblet cells in the villi and crypts and the infiltration of eosinophils and lymphocytes in the lamina propria suggest an inflammatory status, confirmed by the increase in plasma CRP levels in all experimental groups. Regarding the CAs analysis, IH, alone or combined with HF, causes a preferential accumulation of NE in the catecholaminergic nerve fibers of the jejunum. In contrast, serotonin increases in all three experimental conditions, with the highest level in the HF group. It remains to be elucidated whether the alterations found in the present work could affect the permeability of the intestinal barrier, promoting sleep apnea-induced morbidities.
Published: 2023

23. Chronic Metformin Administration Does Not Alter Carotid Sinus Nerve Activity in Control Rats

Author: Fundação para a Ciência e a Tecnologia (Portugal), Sacramento, Joana F., Melo, Bernardete F., Prieto-Lloret, Jesús, Conde, Silvia V., Fundação para a Ciência e a Tecnologia (Portugal), Sacramento, Joana F., Melo, Bernardete F., Prieto-Lloret, Jesús, and Conde, Silvia V.
Abstract: Metformin is a glucose-lowering, insulin-sensitizing drug that is commonly used in the treatment of type 2 diabetes (T2D). In the last decade, the carotid body (CB) has been described as a metabolic sensor implicated in the regulation of glucose homeostasis, being CB dysfunction crucial for the development of metabolic diseases, such as T2D. Knowing that metformin could activate AMP-activated protein kinase (AMPK) and that AMPK has been described to have an important role in CB hypoxic chemotransduction, herein we have investigated the effect of chronic metformin administration on carotid sinus nerve (CSN) chemosensory activity in basal and hypoxic and hypercapnic conditions in control animals. Experiments were performed in male Wistar rats subjected to 3 weeks of metformin (200 mg/kg) administration in the drinking water. The effect of chronic metformin administration was tested in spontaneous and hypoxic (0% and 5% O2) and hypercapnic (10% CO2) evoked CSN chemosensory activity. Metformin administration for 3 weeks did not modify the basal CSN chemosensory activity in control animals. Moreover, the CSN chemosensory response to intense and moderate hypoxia and hypercapnia was not altered by the chronic metformin administration. In conclusion, chronic metformin administration did not modify chemosensory activity in control animals.
Published: 2023

24. Enhancing radiomics and Deep Learning systems through the standardization of medical imaging workflows

Author: Ministerio de Educación (España), European Commission, Cobo Cano, Miriam, Menéndez Fernández-Miranda, Pablo, Bastarrika, Gorka, Lloret Iglesias, Lara, Ministerio de Educación (España), European Commission, Cobo Cano, Miriam, Menéndez Fernández-Miranda, Pablo, Bastarrika, Gorka, and Lloret Iglesias, Lara
Abstract: Recent advances in computer-aided diagnosis, treatment response and prognosis in radiomics and deep learning challenge radiology with requirements for world-wide methodological standards for labeling, preprocessing and image acquisition protocols. The adoption of these standards in the clinical workflows is a necessary step towards generalization and interoperability of radiomics and artificial intelligence algorithms in medical imaging.
Published: 2023

25. Novel deep learning method for coronary artery tortuosity detection through coronary angiography

Author: Consejo Superior de Investigaciones Científicas (España), European Commission, Gobierno de Cantabria, Universidad de Cantabria, Cobo Cano, Miriam, Pérez-Rojas, Francisco, Gutiérrez-Rodríguez, Constanza, Heredia, Ignacio, Maragaño-Lizama, Patricio, Yung-Manriquez, Francisca, Lloret Iglesias, Lara, Vega, Jose Antonio, Consejo Superior de Investigaciones Científicas (España), European Commission, Gobierno de Cantabria, Universidad de Cantabria, Cobo Cano, Miriam, Pérez-Rojas, Francisco, Gutiérrez-Rodríguez, Constanza, Heredia, Ignacio, Maragaño-Lizama, Patricio, Yung-Manriquez, Francisca, Lloret Iglesias, Lara, and Vega, Jose Antonio
Abstract: Coronary artery tortuosity is usually an undetected condition in patients undergoing coronary angiography. This condition requires a longer examination by the specialist to be detected. Yet, detailed knowledge of the morphology of coronary arteries is essential for planning any interventional treatment, such as stenting. We aimed to analyze coronary artery tortuosity in coronary angiography with artificial intelligence techniques to develop an algorithm capable of automatically detecting this condition in patients. This work uses deep learning techniques, in particular, convolutional neural networks, to classify patients into tortuous or non-tortuous based on their coronary angiography. The developed model was trained both on left (Spider) and right (45°/0°) coronary angiographies following a fivefold cross-validation procedure. A total of 658 coronary angiographies were included. Experimental results demonstrated satisfactory performance of our image-based tortuosity detection system, with a test accuracy of (87 ± 6)%. The deep learning model had a mean area under the curve of 0.96 ± 0.03 over the test sets. The sensitivity, specificity, positive predictive values, and negative predictive values of the model for detecting coronary artery tortuosity were (87 ± 10)%, (88 ± 10)%, (89 ± 8)%, and (88 ± 9)%, respectively. Deep learning convolutional neural networks were found to have comparable sensitivity and specificity with independent experts’ radiological visual examination for detecting coronary artery tortuosity for a conservative threshold of 0.5. These findings have promising applications in the field of cardiology and medical imaging.
Published: 2023

26. Brain areas lipidomics in female transgenic mouse model of Alzheimer's disease.

Author: Ferré-González, Laura, Balaguer, Ángel, Roca, Marta, Ftara, Artemis, Lloret, Ana, and Cháfer-Pericás, Consuelo
Subjects: ALZHEIMER'S disease, TRANSGENIC mice, LIPIDOMICS, LABORATORY mice, AMYGDALOID body, ANIMAL disease models
Abstract: Lipids are the major component of the brain with important structural and functional properties. Lipid disruption could play a relevant role in Alzheimer's disease (AD). Some brain lipidomic studies showed significant differences compared to controls, but few studies have focused on different brain areas related to AD. Furthermore, AD is more prevalent in females, but there is a lack of studies focusing on this sex. This work aims to perform a lipidomic study in selected brain areas (cerebellum, amygdala, hippocampus, entire cortex) from wild-type (WT, n = 10) and APPswe/PS1dE9 transgenic (TG, n = 10) female mice of 5 months of age, as a model of early AD, to identify alterations in lipid composition. A lipidomic mass spectrometry-based method was optimized and applied to brain tissue. As result, some lipids showed statistically significant differences between mice groups in cerebellum (n = 68), amygdala (n = 49), hippocampus (n = 48), and the cortex (n = 22). In addition, some lipids (n = 15) from the glycerolipid, phospholipid, and sphingolipid families were statistically significant in several brain areas simultaneously between WT and TG. A selection of lipid variables was made to develop a multivariate approach to assess their discriminant potential, showing high diagnostic indexes, especially in cerebellum and amygdala (sensitivity 70–100%, sensibility 80–100%). [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

27. CSF leak after pediatric endoscopic endonasal expanded approaches: a series review.

Author: Miranda-Lloret, Pablo, Simal-Julian, Juan Antonio, de San Román-Mena, Laila Pérez, Ramírez, Estela Plaza, Pancucci, Giovanni, and Asunción, Carlos Botella
Subjects: *CEREBROSPINAL fluid leak, *CHILD patients, *SPHENOID sinus, *REOPERATION, *CEREBROSPINAL fluid, *DACRYOCYSTORHINOSTOMY, *CEREBROSPINAL fluid shunts
Abstract: Purpose: Endoscopic endonasal approaches in the pediatric population pose specific challenges. Management of postoperative cerebrospinal fluid [CSF] leak is probably the major concern. The purpose of the present investigation is to describe and analyze the incidence of postoperative CSF leaks in our pediatric series of endoscopic endonasal approaches. Methods: This is a retrospective analysis, case review of our institutional series. Descriptive statistical parameters and bivariate correlations are analyzed. Results: Twenty-one patients have been operated through endoscopic approaches in our series. Four patients showed a postoperative CSF leak needing a revision surgery; these cases are described in further detail. Approaches expanded beyond the sellar area and non-sellar pneumatization of the sphenoid sinus were significantly associated with a higher risk of postoperative CSF leak. Conclusions: CSF leak incidence after endoscopic endonasal approaches is higher in pediatric patients than in adult series. Anatomic and pathologic factors add complexity to these approaches in children. Multilayer closure is advisable to prevent and treat this complication. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

28. Development and Validation of the EFFAM Scale (Family Functioning Scale-Madrid).

Author: Cabrera-Perona, Víctor, Moriano, Juan A., Lloret-Irles, Daniel, González-Galnares, Inés, and Ordoñez, Ana
Subjects: EXPERIMENTAL design, STRUCTURAL equation modeling, FAMILY psychotherapy, COUNSELING, RESEARCH methodology, RESEARCH methodology evaluation, FAMILIES, MEDICAL care, PSYCHOMETRICS, FAMILY attitudes, BEHAVIOR disorders, FACTOR analysis, TEENAGERS' conduct of life, RESEARCH funding, FAMILY relations, SOCIAL disabilities
Abstract: Most models that analyse risk and protective factors during adolescence include the family system and family functionality as key elements. For this reason, Family Counselling Services play an important role in addressing adolescent problems. These services require quick and easy-to-apply assessment tools that integrate different dimensions of family functioning. To develop and validate a brief scale for use in Family Counselling Services, exploring and confirming its factorial structure and testing its psychometric properties. Confirmatory Factor Analysis using structural equation modeling. 441 family members in seven units. Results: A 5-factor structure was confirmed, with a good fit. All the Average Variance Extracted values were higher than the Maximum Shared Squared Variance values. The results confirm the structure of the Family Functioning Scale-Madrid. In addition, the scale demonstrates adequate psychometric properties and stable structure during two evaluation periods with different samples. The instrument is considered reliable and consistent for of assessing family intervention carried out in Family Counselling Services. Highlights: What is known so far? Family system and functionality has a relevant role as a risk and/or protective factor with respect to maladaptive behaviours. One common demand of Family Counselling Services is to be able to count on assessment protocols and instruments adapted to their target population. Available evidence provides few instruments that assess family functioning in an agile way. What does this article contribute? This study provides a brief, reliable instrument with optimal psychometric properties. Family Functioning Scale-Madrid assesses specific dimensions of family change in counseling. Theoretical structure of Family Functioning Scale-Madrid aligns with the Circumplex and Family Stress models. [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

29. A smart IoT-based irrigation system design using AI and prediction model.

Author: Behzadipour, Faeze, Ghasemi Nezhad Raeini, Mahmod, Abdanan Mehdizadeh, Saman, Taki, Morteza, Khalil Moghadam, Bijan, Zare Bavani, Mohammad Reza, and Lloret, Jaime
Subjects: SYSTEMS design, IRRIGATION, COLOR of plants, PREDICTION models, SOIL temperature, GENETIC programming
Abstract: Implementing intelligent irrigation and adjusting the irrigation system is essential in today's agricultural system to control the amount of water required for the plant. This study focuses on data obtained from sensors measuring (soil temperature and humidity, temperature and humidity of ambient and light) and image processing of plant leaves. To analyze the data, two models were implemented including a regression model in SPSS software and another model by genetic programming in MATLAB 2018 software. The optimal model was a combined model of sensors and images in genetic programming with higher R2 and lower standard error of 0.88 and 0.03, respectively. This model was superior to the regression model which had an R2 and standard error of 0.86 and 0.21, respectively, so this optimal model was selected to adjust the microcontroller for the intelligent irrigation system. The following year by replanting the crop, the intelligent irrigation system was presented as the superior system with 11% water saving compared to the previous year (irrigation by the user). Also, no changes were observed in the yield and color indicators of the plant at the level of 5%, which indicates the superiority of the intelligent irrigation system and its high accuracy of this system. [ABSTRACT FROM AUTHOR]
Published: 2023
Full Text: View/download PDF

30. A global review of marine recreational spearfishing.

Author: Sbragaglia, Valerio, Arlinghaus, Robert, Blumstein, Daniel T., Diogo, Hugo, Giglio, Vinicius J., Gordoa, Ana, Januchowski-Hartley, Fraser Andrew, Laporta, Martín, Lindfield, Steven J., Lloret, Josep, Mann, Bruce, McPhee, Daryl, Nunes, José A. C. C., Pita, Pablo, Rangel, Mafalda, Rhoades, O. Kennedy, Venerus, Leonardo A., and Villasante, Sebastián
Subjects: MARINE parks & reserves, LITERATURE reviews, SCIENTIFIC literature, FISHING, EVIDENCE gaps, ECOLOGICAL impact
Abstract: Recreational spearfishing is a fishing method that occurs globally, yet receives considerably less attention in the scientific literature relative to other recreational fishing methods, such as angling. Lack of scientific information on spearfishing may negatively affect the development and management of marine recreational fisheries. We conducted a systematic review of 102 peer-reviewed papers published between 1967 and 2022 pertaining to marine recreational spearfishing. Based on this literature review, we provide an overview of key insights across social, economic, and ecological dimensions of marine recreational spearfishing. While spearfishers represent less than 5% of marine recreational fishers, the participants are younger and may differ from recreational anglers in their motivations, with suggestions of increased well-being generated from a close connection with the sea during underwater fishing. Recreational spearfishers mostly target species of moderate to high levels of vulnerability that are mid to high trophic level carnivores. Though spearfishers can deliberately target larger individuals of exploited populations, this is not a generalizable pattern. Despite a growing body of research on the ecological impacts of marine recreational spearfishing, there is limited knowledge of these effects and their mechanisms across biological levels of organization (e.g., individual, population, community and ecosystem) compared with those of other fishing methods. Recreational spearfishers can contribute to advances in marine ecological knowledge, and inclusive participatory management could represent a key step towards transformative sustainable development of marine recreational spearfishing. Throughout the review, we identify gaps in the research and areas where future research is needed to better inform the socio-economic importance, ecosystem impacts and future management of marine recreational spearfishing. [ABSTRACT FROM AUTHOR]
Published: 2023
Full Text: View/download PDF

31. Magnetic resonance elastography for noninvasive detection of liver fibrosis: is there an added value of 3D acquisition?

Author: Bhuiyan, Enamul H., Ozkaya, Efe, Kennedy, Paul, Del Hoyo, Juan Lloret, Achkar, Bassam El, Thung, Swan, Lewis, Sara, Bane, Octavia, and Taouli, Bachir
Subjects: HEPATIC fibrosis, MAGNETIC resonance, ELASTOGRAPHY, MANN Whitney U Test, LIVER diseases, LIVER, ASCITIC fluids
Abstract: Purpose: (1) Assess the diagnostic performance of liver 3D magnetic resonance elastography (MRE) parameters (including stiffness, storage/loss modulus and damping ratio) compared to liver stiffness measured with 2D MRE for noninvasive detection of advanced liver fibrosis (F3-F4) and cirrhosis (F4) in patients with chronic liver disease. (2) Assess the value of serum markers (FIB-4) in detecting advanced liver fibrosis and cirrhosis in the same patients. Methods: This was a single center, prospective IRB-approved cross-sectional study that included 49 patients (M/F: 23/26, mean age 50.8 y) with chronic liver disease and concomitant liver biopsy. MRE was acquired at 1.5T using a spin echo-EPI sequence. The following parameters were measured: liver stiffness using 2D MRE (LS-2D) and 3D MRE parameters (LS-3D, liver storage, loss modulus and damping ratio). The Mann-Whitney U test, ROC curve analysis, Spearman correlation and logistic regression were performed to evaluate diagnostic performance of MRE parameters and FIB-4. Results: LS-2D and LS-3D had similar diagnostic performance for diagnosis of F3-F4, with AUCs of 0.87 and 0.88, sensitivity of 0.71 and 0.81, specificity of 0.89 for both. For diagnosis of F4, LS-2D and LS-3D had similar performance with AUCs of 0.81 for both, sensitivity of 0.75 and 0.83, and specificity of 0.84 and 0.73, respectively. Additional 3D parameters (storage modulus, loss modulus, damping ratio) had variable performance, with AUC range of 0.59-0.78 for F3-F4; and 0.52-0.70 for F4. FIB-4 had lower diagnostic performance, with AUCs of 0.66 for F3-F4, and 0.68 for F4. Conclusion: Our study shows no added value of 3D MRE compared to 2D MRE for detection of advanced fibrosis and cirrhosis, while FIB-4 had lower diagnostic performance. [ABSTRACT FROM AUTHOR]
Published: 2023
Full Text: View/download PDF

32. Sustainable Bio-Based Materials from Minimally Processed Red Seaweeds: Effect of Composition and Cell Wall Structure

Author: Vera Cebrián-Lloret, Antonio Martínez-Abad, Amparo López-Rubio, and Marta Martínez-Sanz
Subjects: Agar, Environmental Engineering, Biopolymers, Polymers and Plastics, Macroalgae, Materials Chemistry, Cellulose, Films
Abstract: This study reports on the use of whole seaweed biomass to obtain bio-based films for food packaging applications. Specifically, four different species of agarophytes (Gelidium corneum, Gracilaria chilensis, Gracilaria tenuistipitata and Gracilariopsis longissima) were minimally processed by melt blending and compression molding, and the effect of their composition and cell wall structure on the final performance of the films was investigated. The seaweed biomass was mainly composed of carbohydrates (35–50%), but significant amounts of proteins and ashes were also detected. Temperature-resolved SAXS experiments and microscopy analyses evidenced that a higher temperature of 130 ℃ is required to promote the release of agar from the tougher cell walls from G. corneum and G. tenuistipitata. The higher cellulose content of G. corneum (ca. 15%) resulted in films with higher mechanical resistance and water vapor barrier capacity, while the higher agar content of G. chilensis improved the elongation capacity of the films. The results from this work evidence the potential of red seaweed biomass to generate food packaging materials in a cost-effective and environmentally friendly way., Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work was financially supported by Hispanagar. Synchrotron experiments were performed at NCD beamline at ALBA Synchrotron with the collaboration of ALBA staff (2020024090 project).
Published: 2022

33. Enhancing radiomics and Deep Learning systems through the standardization of medical imaging workflows.

Author: Cobo, Miriam, Menéndez Fernández-Miranda, Pablo, Bastarrika, Gorka, and Lloret Iglesias, Lara
Subjects: COMPUTER-assisted image analysis (Medicine), RADIOMICS, DEEP learning, DIAGNOSTIC imaging, COMPUTER-aided diagnosis, STANDARDIZATION, WORKFLOW
Abstract: Recent advances in computer-aided diagnosis, treatment response and prognosis in radiomics and deep learning challenge radiology with requirements for world-wide methodological standards for labeling, preprocessing and image acquisition protocols. The adoption of these standards in the clinical workflows is a necessary step towards generalization and interoperability of radiomics and artificial intelligence algorithms in medical imaging. [ABSTRACT FROM AUTHOR]
Published: 2023
Full Text: View/download PDF

34. A Review of Potential Innovation Pathways to Enhance Resilience in Wood-Based Value Chains.

Author: Hoeben, Annechien Dirkje, Stern, Tobias, and Lloret, Francisco
Published: 2023
Full Text: View/download PDF

35. Challenges of legal structure and judicial principles governing the Statutes of the Iranian Football Federation.

Author: Ghodsirad, Vahidreza, Hosseiney, Raheleh Sadat, and Lloret, Jose Domingo Valls
Published: 2023
Full Text: View/download PDF

36. Improving prediction of COVID-19 mortality using machine learning in the Spanish SEMI-COVID-19 registry.

Author: Casas-Rojo, José-Manuel, Ventura, Paula Sol, Antón Santos, Juan Miguel, de Latierro, Aitor Ortiz, Arévalo-Lorido, José Carlos, Mauri, Marc, Rubio-Rivas, Manuel, González-Vega, Rocío, Giner-Galvañ, Vicente, Otero Perpiñá, Bárbara, Fonseca-Aizpuru, Eva, Muiño, Antonio, Del Corral-Beamonte, Esther, Gómez-Huelgas, Ricardo, Arnalich-Fernández, Francisco, Llorente Barrio, Mónica, Sancha-Lloret, Aresio, Rábago Lorite, Isabel, Loureiro-Amigo, José, and Pintos-Martínez, Santiago
Abstract: COVID-19 is responsible for high mortality, but robust machine learning-based predictors of mortality are lacking. To generate a model for predicting mortality in patients hospitalized with COVID-19 using Gradient Boosting Decision Trees (GBDT). The Spanish SEMI-COVID-19 registry includes 24,514 pseudo-anonymized cases of patients hospitalized with COVID-19 from 1 February 2020 to 5 December 2021. This registry was used as a GBDT machine learning model, employing the CatBoost and BorutaShap classifier to select the most relevant indicators and generate a mortality prediction model by risk level, ranging from 0 to 1. The model was validated by separating patients according to admission date, using the period 1 February to 31 December 2020 (first and second waves, pre-vaccination period) for training, and 1 January to 30 November 2021 (vaccination period) for the test group. An ensemble of ten models with different random seeds was constructed, separating 80% of the patients for training and 20% from the end of the training period for cross-validation. The area under the receiver operating characteristics curve (AUC) was used as a performance metric. Clinical and laboratory data from 23,983 patients were analyzed. CatBoost mortality prediction models achieved an AUC performance of 84.76 (standard deviation 0.45) for patients in the test group (potentially vaccinated patients not included in model training) using 16 features. The performance of the 16-parameter GBDT model for predicting COVID-19 hospital mortality, although requiring a relatively large number of predictors, shows a high predictive capacity. [ABSTRACT FROM AUTHOR]
Published: 2023
Full Text: View/download PDF

37. Biological properties of Ceraputty as a retrograde filling material: an in vitro study on hPDLSCs.

Author: López-García, Sergio, Rodríguez-Lozano, Francisco J., Sanz, José Luis, Forner, Leopoldo, Pecci-Lloret, María Pilar, Lozano, Adrián, Murcia, Laura, Sánchez-Bautista, Sonia, and Oñate-Sánchez, Ricardo E.
Subjects: FILLER materials, PERIODONTAL ligament, TWO-way analysis of variance, THIRD molars, IN vitro studies
Abstract: Objectives: To assess the cytocompatibility and bioactive potential of the new calcium silicate-based cement Ceraputty on human periodontal ligament stem cells (hPDLSCs) compared to Biodentine and Endosequence BC root repair material (ERRM). Materials and methods: hPDLSCs were isolated from extracted third molars from healthy donors. Standardized sample discs and 1:1, 1:2, and 1:4 eluates of the tested materials were prepared. The following assays were performed: surface element distribution via SEM–EDX, cell attachment and morphology via SEM, cell viability via a MTT assay, osteo/cemento/odontogenic marker expression via RT-qPCR, and cell calcified nodule formation via Alizarin Red S staining. hPDLSCs cultured in unconditioned or osteogenic media were used as negative and positive control groups, respectively. Statistical analysis was performed using one-way ANOVA or two-way ANOVA and Tukey's post hoc test. Statistical significance was established at p < 0.05. Results: The highest Ca2+ peak was detected from Biodentine samples, followed by ERRM and Ceraputty. hPDLSC viability was significantly reduced in Ceraputty samples (p < 0.001), while 1:2 and 1:4 Biodentine and ERRM samples similar results to that of the negative control (p > 0.05). Biodentine and ERRM exhibited an upregulation of at least one cemento/odonto/osteogenic marker compared to the negative and positive control groups. Cells cultured with Biodentine produced a significantly higher calcified nodule formation than ERRM and Ceraputty (p < 0.001), which were also higher than the control groups (p < 0.001). Conclusion: Ceraputty evidenced a reduced cytocompatibility towards hPDLSCs on its lowest dilutions compared to the other tested cements and the control group. Biodentine and ERRM promoted a significantly higher mineralization and osteo/cementogenic marker expression on hPDLSCs compared with Ceraputty. Further studies are necessary to verify the biological properties of this new material and its adequacy as a retrograde filling material. Clinical relevance: This is the first study to elucidate the adequate biological properties of Ceraputty for its use as a retrograde filling material. [ABSTRACT FROM AUTHOR]
Published: 2023
Full Text: View/download PDF

38. Whole Exome Sequencing Reveals Pathogenic Variants in ADA2 and FAS Causing DADA2 and ALPS.

Author: Ahn, Terrie S., Boston Children's DADA2 Consortium, Lee, Pui Y., Chen, Liang, UCLA DADA2 Consortium, Nazzar-Romero, Samira, Stephens, Alexis V., McCurdy, Deborah K., Garcia-Lloret, Maria I., and Kohn, Lisa A.
Subjects: PANCYTOPENIA, POLYARTERITIS nodosa, RED blood cell transfusion
Abstract: Our patients' phenotypes are a mix of features found in both DADA2 and ALPS. It has been reported that patients with pathogenic variants in I FAS i will have 100% cellular and laboratory penetrance; however, only 25-45% of patients will express a clinical phenotype highlighting the variable expressivity seen in ALPS [[2]]. 1Hematologic, immunologic, and genetic findings in patients with variants in ADA2 and FAS causing DADA2 and ALPS. [Extracted from the article]
Published: 2023
Full Text: View/download PDF

39. Developing a training web application for improving the COVID-19 diagnostic accuracy on chest x-ray

Author: Menéndez Fernández-Miranda, Pablo [0000-0003-4742-8955], Sanz Bellón, Pablo [0000-0001-6237-0611], Pérez del Barrio, Amaia [0000-0003-1613-6159], Lloret Iglesias, Lara [0000-0002-0157-4765], Rodríguez, David [0000-0002-9160-5106], Vega, Jose Antonio [0000-0003-1276-0018], Menéndez Fernández-Miranda, Pablo, Sanz Bellón, Pablo, Pérez del Barrio, Amaia, Lloret Iglesias, Lara, Solís García, P., Aguilar, Fernando, Rodríguez, David, Vega, Jose Antonio, Menéndez Fernández-Miranda, Pablo [0000-0003-4742-8955], Sanz Bellón, Pablo [0000-0001-6237-0611], Pérez del Barrio, Amaia [0000-0003-1613-6159], Lloret Iglesias, Lara [0000-0002-0157-4765], Rodríguez, David [0000-0002-9160-5106], Vega, Jose Antonio [0000-0003-1276-0018], Menéndez Fernández-Miranda, Pablo, Sanz Bellón, Pablo, Pérez del Barrio, Amaia, Lloret Iglesias, Lara, Solís García, P., Aguilar, Fernando, Rodríguez, David, and Vega, Jose Antonio
Abstract: In December 2019, a new coronavirus known as 2019-nCoV emerged in Wuhan, China. The virus has spread globally and the infection was declared pandemic in March 2020. Although most cases of coronavirus disease 2019 (COVID-19) are mild, some of them rapidly develop acute respiratory distress syndrome. In the clinical management, chest X-rays (CXR) are essential, but the evaluation of COVID-19 CXR could be a challenge. In this context, we developed COVID-19 TRAINING, a free Web application for training on the evaluation of COVID-19 CXR. The application included 196 CXR belonging to three categories: non-pathological, pathological compatible with COVID-19, and pathological non-compatible with COVID-19. On the training screen, images were shown to the users and they chose a diagnosis among those three possibilities. At any time, users could finish the training session and be evaluated through the estimation of their diagnostic accuracy values: sensitivity, specificity, predictive values, and global accuracy. Images were hand-labeled by four thoracic radiologists. Average values for sensitivity, specificity, and global accuracy were .72, .64, and .68. Users who achieved better sensitivity registered less specificity (p < .0001) and those with higher specificity decreased their sensitivity (p < .0001). Users who sent more answers achieved better accuracy (p = .0002). The application COVID-19 TRAINING provides a revolutionary tool to learn the necessary skills to evaluate COVID-19 on CXR. Diagnosis training applications could provide a new original manner of evaluation for medical professionals based on their diagnostic accuracy values, and an efficient method to collect valuable data for research purposes.
Published: 2021

40. Novel deep learning method for coronary artery tortuosity detection through coronary angiography.

Author: Cobo, Miriam, Pérez-Rojas, Francisco, Gutiérrez-Rodríguez, Constanza, Heredia, Ignacio, Maragaño-Lizama, Patricio, Yung-Manriquez, Francisca, Lloret Iglesias, Lara, and Vega, José A.
Subjects: DEEP learning, CORONARY angiography, CORONARY arteries, TORTUOSITY, CONVOLUTIONAL neural networks, ARTIFICIAL intelligence
Abstract: Coronary artery tortuosity is usually an undetected condition in patients undergoing coronary angiography. This condition requires a longer examination by the specialist to be detected. Yet, detailed knowledge of the morphology of coronary arteries is essential for planning any interventional treatment, such as stenting. We aimed to analyze coronary artery tortuosity in coronary angiography with artificial intelligence techniques to develop an algorithm capable of automatically detecting this condition in patients. This work uses deep learning techniques, in particular, convolutional neural networks, to classify patients into tortuous or non-tortuous based on their coronary angiography. The developed model was trained both on left (Spider) and right (45°/0°) coronary angiographies following a fivefold cross-validation procedure. A total of 658 coronary angiographies were included. Experimental results demonstrated satisfactory performance of our image-based tortuosity detection system, with a test accuracy of (87 ± 6)%. The deep learning model had a mean area under the curve of 0.96 ± 0.03 over the test sets. The sensitivity, specificity, positive predictive values, and negative predictive values of the model for detecting coronary artery tortuosity were (87 ± 10)%, (88 ± 10)%, (89 ± 8)%, and (88 ± 9)%, respectively. Deep learning convolutional neural networks were found to have comparable sensitivity and specificity with independent experts' radiological visual examination for detecting coronary artery tortuosity for a conservative threshold of 0.5. These findings have promising applications in the field of cardiology and medical imaging. [ABSTRACT FROM AUTHOR]
Published: 2023
Full Text: View/download PDF

41. Eggshell Pavilion: a reinforced concrete structure fabricated using robotically 3D printed formwork.

Author: Burger, Joris, Aejmelaeus-Lindström, Petrus, Gürel, Seyma, Niketić, Filip, Lloret-Fritschi, Ena, Flatt, Robert J., Gramazio, Fabio, and Kohler, Matthias
Published: 2023
Full Text: View/download PDF

42. Sustainable Bio-Based Materials from Minimally Processed Red Seaweeds: Effect of Composition and Cell Wall Structure

Author: 0000-0001-7168-5287, Cebrián Lloret, Vera, Martínez-Abad, Antonio, López-Rubio, Amparo, Martínez Sanz, Marta, 0000-0001-7168-5287, Cebrián Lloret, Vera, Martínez-Abad, Antonio, López-Rubio, Amparo, and Martínez Sanz, Marta
Abstract: This study reports on the use of whole seaweed biomass to obtain bio-based films for food packaging applications. Specifically, four different species of agarophytes (Gelidium corneum, Gracilaria chilensis, Gracilaria tenuistipitata and Gracilariopsis longissima) were minimally processed by melt blending and compression molding, and the effect of their composition and cell wall structure on the final performance of the films was investigated. The seaweed biomass was mainly composed of carbohydrates (35–50%), but significant amounts of proteins and ashes were also detected. Temperature-resolved SAXS experiments and microscopy analyses evidenced that a higher temperature of 130 ℃ is required to promote the release of agar from the tougher cell walls from G. corneum and G. tenuistipitata. The higher cellulose content of G. corneum (ca. 15%) resulted in films with higher mechanical resistance and water vapor barrier capacity, while the higher agar content of G. chilensis improved the elongation capacity of the films. The results from this work evidence the potential of red seaweed biomass to generate food packaging materials in a cost-effective and environmentally friendly way.
Published: 2022

43. Evolutionary origin and functional specialization of Dormancy‑Associated MADS box (DAM) proteins in perennial crops

Author: Carles Quesada-Traver, Alba Lloret, Lorenzo Carretero-Paulet, María Luisa Badenes, and Gabino Ríos
Subjects: Plant phenology, Arabidopsis, MADS Domain Proteins, Flowers, Plant Science, F60 Plant physiology and biochemistry, SVP (gene family) evolution, Eriobotrya, Gene Expression Regulation, Plant, Loquats, U30 Research methods, Bud development, Amino Acids, Winter dormancy, F40 Plant ecology, Phylogeny, Plant Proteins, F30 Plant genetics and breeding
Abstract: Background Bud dormancy is a phenological adaptation of temperate perennials that ensures survival under winter temperature conditions by ceasing growth and increasing cold hardiness. SHORT VEGETATIVE PHASE (SVP)-like factors, and particularly a subset of them named DORMANCY-ASSOCIATED MADS-BOX (DAM), are master regulators of bud dormancy in perennials, prominently Rosaceae crops widely adapted to varying environmental conditions. Results SVP-like proteins from recently sequenced Rosaceae genomes were identified and characterized using sequence, phylogenetic and synteny analysis tools. SVP-like proteins clustered in three clades (SVP1–3), with known DAM proteins located within SVP2 clade, which also included Arabidopsis AGAMOUS-LIKE 24 (AthAGL24). A more detailed study on these protein sequences led to the identification of a 15-amino acid long motif specific to DAM proteins, which affected protein heteromerization properties by yeast two-hybrid system in peach PpeDAM6, and the unexpected finding of predicted DAM-like genes in loquat, an evergreen species lacking winter dormancy. DAM gene expression in loquat trees was studied by quantitative PCR, associating with inflorescence development and growth in varieties with contrasting flowering behaviour. Conclusions Phylogenetic, synteny analyses and heterologous overexpression in the model plant Arabidopsis thaliana supported three major conclusions: 1) DAM proteins might have emerged from the SVP2 clade in the Amygdaloideae subfamily of Rosaceae; 2) a short DAM-specific motif affects protein heteromerization, with a likely effect on DAM transcriptional targets and other functional features, providing a sequence signature for the DAM group of dormancy factors; 3) in agreement with other recent studies, DAM associates with inflorescence development and growth, independently of the dormancy habit.
Published: 2022

44. Erratum to: Measurement of the top quark mass with lepton+jets final states using pp collisions at √s=13TeV

Author: Sirunyan, Albert M, Tumasyan, Armen, Escalante Del Valle, Alberto, Caputo, Claudio, Radburn-Smith, Benjamin Charles, Seo, Seon-hee, Yang, Unki, Yoo, Hwi Dong, Yu, Geum Bong, Kim, Hyunyong, Kim, Ji Hyun, Lee, Jason Sang Hun, Park, Inkyu, Choi, Young-Il, Caudron, Adrien, Hwang, Chanwook, Lee, Jongseok, Yu, Intae, Dudenas, Vytautas, Juodagalvis, Andrius, Vaitkus, Juozas, Ahmed, Ijaz, Ibrahim, Zainol Abidin, Md Ali, Mohd Adli Bin, Mohamad Idris, Faridah, David, Pieter, Wan Abdullah, Wan Ahmad Tajuddin, Yusli, Mohd Nizam, Zolkapli, Zukhaimira, Duran-Osuna, Cecilia, Castilla-Valdez, Heriberto, De La Cruz-Burelo, Eduard, Ramirez-Sanchez, Gabriel, Heredia-De La Cruz, Ivan, Rabadán-Trejo, Raúl Iraq, Lopez-Fernandez, Ricardo, De Visscher, Simon, Mejia Guisao, Jhovanny, Reyes-Almanza, Rogelio, Sánchez Hernández, Alberto, Carrillo Moreno, Salvador, Oropeza Barrera, Cristina, Vazquez Valencia, Fabiola, Eysermans, Jan, Pedraza, Isabel, Salazar Ibarguen, Humberto Antonio, Uribe Estrada, Cecilia, Delaere, Christophe, Morelos Pineda, Antonio, Krofcheck, David, Bheesette, Srinidhi, Butler, Philip H, Ahmad, Ashfaq, Ahmad, Muhammad, Hassan, Qamar, Hoorani, Hafeez R, Saddique, Asif, Shah, Mehar Ali, Delcourt, Martin, Shoaib, Muhammad, Waqas, Muhammad, Bialkowska, Helena, Bluj, Michal, Boimska, Bozena, Frueboes, Tomasz, Górski, Maciej, Kazana, Malgorzata, Nawrocki, Krzysztof, Szleper, Michal, Francois, Brieuc, Traczyk, Piotr, Zalewski, Piotr, Bunkowski, Karol, Byszuk, Adrian, Doroba, Krzysztof, Kalinowski, Artur, Konecki, Marcin, Krolikowski, Jan, Misiura, Maciej, Olszewski, Michal, Giammanco, Andrea, Pyskir, Andrzej, Walczak, Marek, Bargassa, Pedrame, Beirão Da Cruz E Silva, Cristóvão, Di Francesco, Agostino, Faccioli, Pietro, Galinhas, Bruno, Gallinaro, Michele, Hollar, Jonathan, Leonardo, Nuno, Krintiras, Georgios, Lloret Iglesias, Lara, Nemallapudi, Mythra Varun, Seixas, Joao, Strong, Giles, Toldaiev, Oleksii, Vadruccio, Daniele, Varela, Joao, Baginyan, Andrey, Golutvin, Igor, Kamenev, Alexey, Lemaitre, Vincent, Karjavine, Vladimir, Korenkov, Vladimir, Kozlov, Guennady, Lanev, Alexander, Malakhov, Alexander, Matveev, Viktor, Mitsyn, Valeri Valentinovitch, Moisenz, Petr, Palichik, Vladimir, Perelygin, Victor, Flechl, Martin, Magitteri, Alessio, Shmatov, Sergey, Smirnov, Vitaly, Trofimov, Vladimir, Yuldashev, Bekhzod S, Zarubin, Anatoli, Zhiltsov, Victor, Ivanov, Yury, Kim, Victor, Kuznetsova, Ekaterina, Levchenko, Petr, Mertens, Alexandre, Murzin, Victor, Oreshkin, Vadim, Smirnov, Igor, Sosnov, Dmitry, Sulimov, Valentin, Uvarov, Lev, Vavilov, Sergey, Vorobyev, Alexey, Andreev, Yuri, Dermenev, Alexander, Musich, Marco, Gninenko, Sergei, Golubev, Nikolai, Karneyeu, Anton, Kirsanov, Mikhail, Krasnikov, Nikolai, Pashenkov, Anatoli, Tlisov, Danila, Toropin, Alexander, Epshteyn, Vladimir, Gavrilov, Vladimir, Piotrzkowski, Krzysztof, Lychkovskaya, Natalia, Popov, Vladimir, Pozdnyakov, Ivan, Safronov, Grigory, Spiridonov, Alexander, Stepennov, Anton, Stolin, Viatcheslav, Toms, Maria, Vlasov, Evgueni, Zhokin, Alexander, Quertenmont, Loic, Aushev, Tagir, Bylinkin, Alexander, Chadeeva, Marina, Parygin, Pavel, Philippov, Dmitry, Polikarpov, Sergey, Popova, Elena, Rusinov, Vladimir, Andreev, Vladimir, Azarkin, Maksim, Saggio, Alessia, Dremin, Igor, Kirakosyan, Martin, Rusakov, Sergey V, Terkulov, Adel, Baskakov, Alexey, Belyaev, Andrey, Boos, Edouard, Bunichev, Viacheslav, Dubinin, Mikhail, Dudko, Lev, Vidal Marono, Miguel, Klyukhin, Vyacheslav, Korneeva, Natalia, Lokhtin, Igor, Miagkov, Igor, Obraztsov, Stepan, Perfilov, Maxim, Petrushanko, Sergey, Savrin, Viktor, Snigirev, Alexander, Blinov, Vladimir, Wertz, Sébastien, Shtol, Dmitry, Skovpen, Yuri, Azhgirey, Igor, Bayshev, Igor, Bitioukov, Sergei, Elumakhov, Dmitry, Godizov, Anton, Kachanov, Vassili, Kalinin, Alexey, Konstantinov, Dmitri, Zobec, Joze, Mandrik, Petr, Petrov, Vladimir, Ryutin, Roman, Sobol, Andrei, Troshin, Sergey, Tyurin, Nikolay, Uzunian, Andrey, Volkov, Alexey, Babaev, Anton, Adzic, Petar, Aldá Júnior, Walter Luiz, Cirkovic, Predrag, Devetak, Damir, Dordevic, Milos, Milosevic, Jovan, Alcaraz Maestre, Juan, Álvarez Fernández, Adrian, Bachiller, Irene, Barrio Luna, Mar, Cerrada, Marcos, Colino, Nicanor, Friedl, Markus, Alves, Fábio Lúcio, De La Cruz, Begona, Delgado Peris, Antonio, Fernandez Bedoya, Cristina, Fernández Ramos, Juan Pablo, Flix, Jose, Fouz, Maria Cruz, Gonzalez Lopez, Oscar, Goy Lopez, Silvia, Hernandez, Jose M, Josa, Maria Isabel, Alves, Gilvan, Moran, Dermot, Pérez-Calero Yzquierdo, Antonio María, Puerta Pelayo, Jesus, Redondo, Ignacio, Romero, Luciano, Senghi Soares, Mara, Triossi, Andrea, Albajar, Carmen, de Trocóniz, Jorge F, Cuevas, Javier, Brito, Lucas, Erice, Carlos, Fernandez Menendez, Javier, Folgueras, Santiago, Gonzalez Caballero, Isidro, González Fernández, Juan Rodrigo, Palencia Cortezon, Enrique, Sanchez Cruz, Sergio, Vischia, Pietro, Vizan Garcia, Jesus Manuel, Cabrillo, Iban Jose, Correia Silva, Gilson, Calderon, Alicia, Chazin Quero, Barbara, Duarte Campderros, Jordi, Fernandez, Marcos, Fernández Manteca, Pedro José, García Alonso, Andrea, Garcia-Ferrero, Juan, Gomez, Gervasio, Lopez Virto, Amparo, Marco, Jesus, Hensel, Carsten, Martinez Rivero, Celso, Martinez Ruiz del Arbol, Pablo, Matorras, Francisco, Piedra Gomez, Jonatan, Prieels, Cédric, Rodrigo, Teresa, Ruiz-Jimeno, Alberto, Scodellaro, Luca, Trevisani, Nicolò, Vila, Ivan, Moraes, Arthur, Vilar Cortabitarte, Rocio, Abbaneo, Duccio, Akgun, Bora, Auffray, Etiennette, Baillon, Paul, Ball, Austin, Barney, David, Bendavid, Joshua, Bianco, Michele, Bocci, Andrea, Pol, Maria Elena, Botta, Cristina, Camporesi, Tiziano, Cepeda, Maria, Cerminara, Gianluca, Chapon, Emilien, Chen, Yi, D'Enterria, David, Dabrowski, Anne, Daponte, Vincenzo, David Tinoco Mendes, Andre, Rebello Teles, Patricia, De Gruttola, Michele, De Roeck, Albert, Deelen, Nikkie, Dobson, Marc, Du Pree, Tristan, Dünser, Marc, Dupont, Niels, Elliott-Peisert, Anna, Everaerts, Pieter, Fallavollita, Francesco, Belchior Batista Das Chagas, Ewerton, Franzoni, Giovanni, Fulcher, Jonathan, Funk, Wolfgang, Gigi, Dominique, Gilbert, Andrew, Gill, Karl, Glege, Frank, Gulhan, Doga, Hegeman, Jeroen, Innocente, Vincenzo, Carvalho, Wagner, Jafari, Abideh, Janot, Patrick, Karacheban, Olena, Kieseler, Jan, Knünz, Valentin, Kornmayer, Andreas, Krammer, Manfred, Lange, Clemens, Lecoq, Paul, Lourenco, Carlos, Fruehwirth, Rudolf, Chinellato, Jose, Lucchini, Marco Toliman, Malgeri, Luca, Mannelli, Marcello, Martelli, Arabella, Meijers, Frans, Merlin, Jeremie Alexandre, Mersi, Stefano, Meschi, Emilio, Milenovic, Predrag, Moortgat, Filip, Coelho, Eduardo, Mulders, Martijn, Neugebauer, Hannes, Ngadiuba, Jennifer, Orfanelli, Styliani, Orsini, Luciano, Pantaleo, Felice, Pape, Luc, Perez, Emmanuel, Peruzzi, Marco, Petrilli, Achille, Melo Da Costa, Eliza, Petrucciani, Giovanni, Pfeiffer, Andreas, Pierini, Maurizio, Pitters, Florian Michael, Rabady, Dinyar, Racz, Attila, Reis, Thomas, Rolandi, Gigi, Rovere, Marco, Sakulin, Hannes, Da Silveira, Gustavo Gil, Schäfer, Christoph, Schwick, Christoph, Seidel, Markus, Selvaggi, Michele, Sharma, Archana, Silva, Pedro, Sphicas, Paraskevas, Stakia, Anna, Steggemann, Jan, Stoye, Markus, De Jesus Damiao, Dilson, Tosi, Mia, Treille, Daniel, Tsirou, Andromachi, Veckalns, Viesturs, Verweij, Marta, Zeuner, Wolfram Dietrich, Bertl, Willi, Caminada, Lea, Deiters, Konrad, Erdmann, Wolfram, Fonseca De Souza, Sandro, Horisberger, Roland, Ingram, Quentin, Kaestli, Hans-Christian, Kotlinski, Danek, Langenegger, Urs, Rohe, Tilman, Wiederkehr, Stephan Albert, Backhaus, Malte, Bäni, Lukas, Berger, Pirmin, Malbouisson, Helena, Casal, Bruno, Chernyavskaya, Nadezda, Dissertori, Günther, Dittmar, Michael, Donegà, Mauro, Dorfer, Christian, Grab, Christoph, Heidegger, Constantin, Hits, Dmitry, Hoss, Jan, Medina Jaime, Miguel, Klijnsma, Thomas, Lustermann, Werner, Marionneau, Matthieu, Meinhard, Maren Tabea, Meister, Daniel, Micheli, Francesco, Musella, Pasquale, Nessi-Tedaldi, Francesca, Pata, Joosep, Pauss, Felicitas, Melo De Almeida, Miqueias, Perrin, Gaël, Perrozzi, Luca, Quittnat, Milena, Reichmann, Michael, Ruini, Daniele, Sanz Becerra, Diego Alejandro, Schönenberger, Myriam, Shchutska, Lesya, Tavolaro, Vittorio Raoul, Theofilatos, Konstantinos, Mora Herrera, Clemencia, Vesterbacka Olsson, Minna Leonora, Wallny, Rainer, Zhu, De Hua, Aarrestad, Thea Klaeboe, Amsler, Claude, Brzhechko, Danyyl, Canelli, Maria Florencia, De Cosa, Annapaola, Del Burgo, Riccardo, Donato, Silvio, Ghete, Vasile Mihai, Mundim, Luiz, Galloni, Camilla, Hreus, Tomas, Kilminster, Benjamin, Neutelings, Izaak, Pinna, Deborah, Rauco, Giorgia, Robmann, Peter, Salerno, Daniel, Schweiger, Korbinian, Seitz, Claudia, Nogima, Helio, Takahashi, Yuta, Zucchetta, Alberto, Chang, Yu-Hsiang, Cheng, Kai-yu, Doan, Thi Hien, Jain, Shilpi, Khurana, Raman, Kuo, Chia-Ming, Lin, Willis, Pozdnyakov, Andrey, Sanchez Rosas, Luis Junior, Yu, Shin-Shan, Chang, Paoti, Chao, Yuan, Chen, Kai-Feng, Chen, Po-Hsun, Fiori, Francesco, Hou, George Wei-Shu, Hsiung, Yee, Kumar, Arun, Liu, Yueh-Feng, Santoro, Alberto, Lu, Rong-Shyang, Paganis, Efstathios, Psallidas, Andreas, Steen, Arnaud, Tsai, Jui-fa, Asavapibhop, Burin, Kovitanggoon, Kittikul, Singh, Gurpreet, Srimanobhas, Norraphat, Bat, Ayse, Sznajder, Andre, Boran, Fatma, Cerci, Salim, Damarseckin, Serdal, Demiroglu, Zuhal Seyma, Dozen, Candan, Dumanoglu, Isa, Girgis, Semiray, Gokbulut, Gul, Guler, Yalcin, Hos, Ilknur, Thiel, Mauricio, Kangal, Evrim Ersin, Kara, Ozgun, Kayis Topaksu, Aysel, Kiminsu, Ugur, Oglakci, Mehmet, Onengut, Gulsen, Ozdemir, Kadri, Sunar Cerci, Deniz, Tali, Bayram, Tok, Ufuk Guney, Tonelli Manganote, Edmilson José, Turkcapar, Semra, Zorbakir, Ibrahim Soner, Zorbilmez, Caglar, Karapinar, Guler, Ocalan, Kadir, Yalvac, Metin, Zeyrek, Mehmet, Atakisi, Ismail Okan, Gülmez, Erhan, Kaya, Mithat, Torres Da Silva De Araujo, Felipe, Kaya, Ozlem, Tekten, Sevgi, Yetkin, Elif Asli, Agaras, Merve Nazlim, Atay, Serhat, Cakir, Altan, Cankocak, Kerem, Komurcu, Yildiray, Grynyov, Boris, Levchuk, Leonid, Vilela Pereira, Antonio, Ball, Fionn, Beck, Lana, Brooke, James John, Burns, Douglas, Clement, Emyr, Cussans, David, Davignon, Olivier, Flacher, Henning, Goldstein, Joel, Heath, Greg P, Ahuja, Sudha, Heath, Helen F, Kreczko, Lukasz, Newbold, Dave M, Paramesvaran, Sudarshan, Sakuma, Tai, Seif El Nasr-storey, Sarah, Smith, Dominic, Smith, Vincent J, Bell, Ken W, Belyaev, Alexander, Hrubec, Josef, Bernardes, Cesar Augusto, Brew, Christopher, Brown, Robert M, Cieri, Davide, Cockerill, David JA, Coughlan, John A, Harder, Kristian, Harper, Sam, Linacre, Jacob, Olaiya, Emmanuel, Petyt, David, Calligaris, Luigi, Shepherd-Themistocleous, Claire, Thea, Alessandro, Tomalin, Ian R, Williams, Thomas, Womersley, William John, Auzinger, Georg, Bainbridge, Robert, Bloch, Philippe, Borg, Johan, Breeze, Shane, Tomei, Thiago, Buchmuller, Oliver, Bundock, Aaron, Casasso, Stefano, Colling, David, Corpe, Louie, Dauncey, Paul, Davies, Gavin, Della Negra, Michel, Di Maria, Riccardo, Haddad, Yacine, De Moraes Gregores, Eduardo, Hall, Geoffrey, Iles, Gregory, James, Thomas, Komm, Matthias, Lane, Rebecca, Laner, Christian, Lyons, Louis, Magnan, Anne-Marie, Malik, Sarah, Mastrolorenzo, Luca, Mercadante, Pedro G, Matsushita, Takashi, Nash, Jordan, Nikitenko, Alexander, Palladino, Vito, Pesaresi, Mark, Richards, Alexander, Rose, Andrew, Scott, Edward, Seez, Christopher, Shtipliyski, Antoni, Novaes, Sergio F, Strebler, Thomas, Summers, Sioni, Tapper, Alexander, Uchida, Kirika, Vazquez Acosta, Monica, Virdee, Tejinder, Wardle, Nicholas, Winterbottom, Daniel, Wright, Jack, Zenz, Seth Conrad, Padula, Sandra, Cole, Joanne, Hobson, Peter R, Khan, Akram, Kyberd, Paul, Morton, Alexander, Reid, Ivan, Teodorescu, Liliana, Zahid, Sema, Borzou, Ahmad, Call, Kenneth, Romero Abad, David, Dittmann, Jay, Hatakeyama, Kenichi, Liu, Hongxuan, Pastika, Nathaniel, Smith, Caleb, Bartek, Rachel, Dominguez, Aaron, Buccilli, Andrew, Cooper, Seth, Henderson, Conor, Ruiz Vargas, José Cupertino, Rumerio, Paolo, West, Christopher, Arcaro, Daniel, Avetisyan, Aram, Bose, Tulika, Gastler, Daniel, Rankin, Dylan, Richardson, Clint, Rohlf, James, Sulak, Lawrence, Aleksandrov, Aleksandar, Zou, David, Benelli, Gabriele, Cutts, David, Hadley, Mary, Hakala, John, Heintz, Ulrich, Hogan, Julie Managan, Kwok, Ka Hei Martin, Laird, Edward, Landsberg, Greg, Jeitler, Manfred, Hadjiiska, Roumyana, Lee, Jangbae, Mao, Zaixing, Narain, Meenakshi, Pazzini, Jacopo, Piperov, Stefan, Sagir, Sinan, Syarif, Rizki, Yu, David, Band, Reyer, Brainerd, Christopher, Iaydjiev, Plamen, Breedon, Richard, Burns, Dustin, Calderon De La Barca Sanchez, Manuel, Chertok, Maxwell, Conway, John, Conway, Rylan, Cox, Peter Timothy, Erbacher, Robin, Flores, Chad, Funk, Garrett, Marinov, Andrey, Ko, Winston, Lander, Richard, Mclean, Christine, Mulhearn, Michael, Pellett, Dave, Pilot, Justin, Shalhout, Shalhout, Shi, Mengyao, Smith, John, Stolp, Dustin, Misheva, Milena, Taylor, Devin, Tos, Kyle, Tripathi, Mani, Wang, Zhangqier, Zhang, Fengwangdong, Bachtis, Michail, Bravo, Cameron, Cousins, Robert, Dasgupta, Abhigyan, Florent, Alice, Rodozov, Mircho, Hauser, Jay, Ignatenko, Mikhail, Mccoll, Nickolas, Regnard, Simon, Saltzberg, David, Schnaible, Christian, Valuev, Vyacheslav, Bouvier, Elvire, Burt, Kira, Clare, Robert, Shopova, Mariana, Ellison, John Anthony, Gary, J William, Ghiasi Shirazi, Seyyed Mohammad Amin, Hanson, Gail, Karapostoli, Georgia, Kennedy, Elizabeth, Lacroix, Florent, Long, Owen Rosser, Olmedo Negrete, Manuel, Paneva, Mirena Ivova, Sultanov, Georgi, Si, Weinan, Wang, Long, Wei, Hua, Wimpenny, Stephen, Yates, Brent, Branson, James G, Cittolin, Sergio, Derdzinski, Mark, Gerosa, Raffaele, Gilbert, Dylan, Dimitrov, Anton, Hashemi, Bobak, Holzner, André, Klein, Daniel, Kole, Gouranga, Krutelyov, Vyacheslav, Letts, James, Masciovecchio, Mario, Olivito, Dominick, Padhi, Sanjay, Pieri, Marco, Litov, Leander, Sani, Matteo, Sharma, Vivek, Simon, Sean, Tadel, Matevz, Vartak, Adish, Wasserbaech, Steven, Wood, John, Würthwein, Frank, Yagil, Avraham, Zevi Della Porta, Giovanni, Pavlov, Borislav, Amin, Nick, Bhandari, Rohan, Bradmiller-Feld, John, Campagnari, Claudio, Citron, Matthew, Dishaw, Adam, Dutta, Valentina, Franco Sevilla, Manuel, Gouskos, Loukas, Heller, Ryan, Krammer, Natascha, Petkov, Peicho, Incandela, Joe, Ovcharova, Ana, Qu, Huilin, Richman, Jeffrey, Stuart, David, Suarez, Indara, Yoo, Jaehyeok, Anderson, Dustin, Bornheim, Adolf, Bunn, Julian, Fang, Wenxing, Lawhorn, Jay Mathew, Newman, Harvey B, Nguyen, Thong, Pena, Cristian, Spiropulu, Maria, Vlimant, Jean-Roch, Wilkinson, Richard, Xie, Si, Zhang, Zhicai, Zhu, Ren-Yuan, Gao, Xuyang, Andrews, Michael Benjamin, Ferguson, Thomas, Mudholkar, Tanmay, Paulini, Manfred, Russ, James, Sun, Menglei, Vogel, Helmut, Vorobiev, Igor, Weinberg, Marc, Cumalat, John Perry, Yuan, Li, Ford, William T, Jensen, Frank, Johnson, Andrew, Krohn, Michael, Leontsinis, Stefanos, MacDonald, Emily, Mulholland, Troy, Stenson, Kevin, Ulmer, Keith, Wagner, Stephen Robert, Alexander, James, Chaves, Jorge, Cheng, Yangyang, Chu, Jennifer, Datta, Abhisek, Mcdermott, Kevin, Mirman, Nathan, Patterson, Juliet Ritchie, Quach, Dan, Rinkevicius, Aurelijus, Bian, Jian-Guo, Ryd, Anders, Skinnari, Louise, Soffi, Livia, Tan, Shao Min, Tao, Zhengcheng, Thom, Julia, Tucker, Jordan, Wittich, Peter, Zientek, Margaret, Abdullin, Salavat, Chen, Guo-Ming, Albrow, Michael, Alyari, Maral, Apollinari, Giorgio, Apresyan, Artur, Apyan, Aram, Banerjee, Sunanda, Bauerdick, Lothar AT, Beretvas, Andrew, Berryhill, Jeffrey, Bhat, Pushpalatha C, Chen, He-Sheng, Bolla, Gino, Burkett, Kevin, Butler, Joel Nathan, Canepa, Anadi, Cerati, Giuseppe Benedetto, Cheung, Harry, Chlebana, Frank, Cremonesi, Matteo, Duarte, Javier, Elvira, Victor Daniel, Chen, Mingshui, Freeman, Jim, Gecse, Zoltan, Gottschalk, Erik, Gray, Lindsey, Green, Dan, Grünendahl, Stefan, Gutsche, Oliver, Hanlon, Jim, Harris, Robert M, Hasegawa, Satoshi, Chen, Ye, Hirschauer, James, Hu, Zhen, Jayatilaka, Bodhitha, Jindariani, Sergo, Johnson, Marvin, Joshi, Umesh, Klima, Boaz, Kortelainen, Matti J, Kreis, Benjamin, Lammel, Stephan, Krätschmer, Ilse, Jiang, Chun-Hua, Lincoln, Don, Lipton, Ron, Liu, Miaoyuan, Liu, Tiehui, Lopes De Sá, Rafael, Lykken, Joseph, Maeshima, Kaori, Magini, Nicolo, Marraffino, John Michael, Mason, David, Leggat, Duncan, McBride, Patricia, Merkel, Petra, Mrenna, Stephen, Nahn, Steve, O'Dell, Vivian, Pedro, Kevin, Prokofyev, Oleg, Rakness, Gregory, Ristori, Luciano, Savoy-Navarro, Aurore, Liao, Hongbo, Schneider, Basil, Sexton-Kennedy, Elizabeth, Soha, Aron, Spalding, William J, Spiegel, Leonard, Stoynev, Stoyan, Strait, James, Strobbe, Nadja, Taylor, Lucas, Tkaczyk, Slawek, Liu, Zhenan, Tran, Nhan Viet, Uplegger, Lorenzo, Vaandering, Eric Wayne, Vernieri, Caterina, Verzocchi, Marco, Vidal, Richard, Wang, Michael, Weber, Hannsjoerg Artur, Whitbeck, Andrew, Wu, Weimin, Romeo, Francesco, Acosta, Darin, Avery, Paul, Bortignon, Pierluigi, Bourilkov, Dimitri, Brinkerhoff, Andrew, Carnes, Andrew, Carver, Matthew, Curry, David, Field, Richard D, Furic, Ivan-Kresimir, Shaheen, Sarmad Masood, Gleyzer, Sergei V, Joshi, Bhargav Madhusudan, Konigsberg, Jacobo, Korytov, Andrey, Kotov, Khristian, Ma, Peisen, Matchev, Konstantin, Mei, Hualin, Mitselmakher, Guenakh, Shi, Kun, Spiezia, Aniello, Sperka, David, Terentyev, Nikolay, Thomas, Laurent, Wang, Jian, Wang, Sean-Jiun, Yelton, John, Joshi, Yagya Raj, Linn, Stephan, Markowitz, Pete, Rodriguez, Jorge Luis, Tao, Junquan, Ackert, Andrew, Adams, Todd, Askew, Andrew, Hagopian, Sharon, Hagopian, Vasken, Johnson, Kurtis F, Kolberg, Ted, Martinez, German, Perry, Thomas, Prosper, Harrison, Wang, Chunjie, Saha, Anirban, Santra, Arka, Sharma, Varun, Yohay, Rachel, Baarmand, Marc M, Bhopatkar, Vallary, Colafranceschi, Stefano, Hohlmann, Marcus, Noonan, Daniel, Roy, Titas, Wang, Zheng, Yumiceva, Francisco, Adams, Mark Raymond, Apanasevich, Leonard, Berry, Douglas, Betts, Russell Richard, Cavanaugh, Richard, Chen, Xuan, Dittmer, Susan, Evdokimov, Olga, Gerber, Cecilia Elena, Liko, Dietrich, Yazgan, Efe, Hangal, Dhanush Anil, Hofman, David Jonathan, Jung, Kurt, Kamin, Jason, Sandoval Gonzalez, Irving Daniel, Tonjes, Marguerite, Varelas, Nikos, Wang, Hui, Wu, Zhenbin, Zhang, Jingyu, Zhang, Huaqiao, Bilki, Burak, Clarida, Warren, Dilsiz, Kamuran, Durgut, Süleyman, Gandrajula, Reddy Pratap, Haytmyradov, Maksat, Khristenko, Viktor, Merlo, Jean-Pierre, Mermerkaya, Hamit, Mestvirishvili, Alexi, Zhao, Jingzhou, Moeller, Anthony, Nachtman, Jane, Ogul, Hasan, Onel, Yasar, Ozok, Ferhat, Penzo, Aldo, Snyder, Christina, Tiras, Emrah, Wetzel, James, Yi, Kai, Ban, Yong, Blumenfeld, Barry, Cocoros, Alice, Eminizer, Nicholas, Fehling, David, Feng, Lei, Gritsan, Andrei, Hung, Wai Ting, Maksimovic, Petar, Roskes, Jeffrey, Sarica, Ulascan, Chen, Geng, Swartz, Morris, Xiao, Meng, You, Can, Al-bataineh, Ayman, Baringer, Philip, Bean, Alice, Benitez, Jose F, Boren, Samuel, Bowen, James, Castle, James, Li, Jing, Khalil, Sadia, Kropivnitskaya, Anna, Majumder, Devdatta, Mcbrayer, William, Murray, Michael, Rogan, Christopher, Royon, Christophe, Sanders, Stephen, Schmitz, Erich, Tapia Takaki, Daniel, Li, Qiang, Wang, Quan, Ivanov, Andrew, Kaadze, Ketino, Maravin, Yurii, Modak, Atanu, Mohammadi, Abdollah, Saini, Lovedeep Kaur, Skhirtladze, Nikoloz, Rebassoo, Finn, Wright, Douglas, Liu, Shuai, Baden, Drew, Baron, Owen, Belloni, Alberto, Eno, Sarah Catherine, Feng, Yongbin, Ferraioli, Charles, Hadley, Nicholas John, Jabeen, Shabnam, Jeng, Geng-Yuan, Kellogg, Richard G, Mao, Yajun, Kunkle, Joshua, Mignerey, Alice, Ricci-Tam, Francesca, Shin, Young Ho, Skuja, Andris, Tonwar, Suresh C, Abercrombie, Daniel, Allen, Brandon, Azzolini, Virginia, Barbieri, Richard, Qian, Si-Jin, Baty, Austin, Bauer, Gerry, Bi, Ran, Brandt, Stephanie, Busza, Wit, Cali, Ivan Amos, D'Alfonso, Mariarosaria, Demiragli, Zeynep, Gomez Ceballos, Guillelmo, Goncharov, Maxim, Adam, Wolfgang, Madlener, Thomas, Wang, Dayong, Harris, Philip, Hsu, Dylan, Hu, Miao, Iiyama, Yutaro, Innocenti, Gian Michele, Klute, Markus, Kovalskyi, Dmytro, Lee, Yen-Jie, Levin, Andrew, Luckey, Paul David, Xu, Zijun, Maier, Benedikt, Marini, Andrea Carlo, Mcginn, Christopher, Mironov, Camelia, Narayanan, Siddharth, Niu, Xinmei, Paus, Christoph, Roland, Christof, Roland, Gunther, Stephans, George, Wang, Yi, Sumorok, Konstanty, Tatar, Kaya, Velicanu, Dragos, Wang, Jing, Wang, Ta-Wei, Wyslouch, Bolek, Zhaozhong, Shi, Benvenuti, Alberto, Chatterjee, Rajdeep Mohan, Evans, Andrew, Avila, Carlos, Hansen, Peter, Kalafut, Sean, Kubota, Yuichi, Lesko, Zachary, Mans, Jeremy, Nourbakhsh, Shervin, Ruckstuhl, Nicole, Rusack, Roger, Turkewitz, Jared, Wadud, Mohammad Abrar, Cabrera, Andrés, Acosta, John Gabriel, Oliveros, Sandra, Avdeeva, Ekaterina, Bloom, Kenneth, Claes, Daniel R, Fangmeier, Caleb, Golf, Frank, Gonzalez Suarez, Rebeca, Kamalieddin, Rami, Kravchenko, Ilya, Carrillo Montoya, Camilo Andres, Monroy, Jose, Siado, Joaquin Emilo, Snow, Gregory R, Stieger, Benjamin, Godshalk, Andrew, Harrington, Charles, Iashvili, Ia, Nguyen, Duong, Parker, Ashley, Rappoccio, Salvatore, Chaparro Sierra, Luisa Fernanda, Roozbahani, Bahareh, Alverson, George, Barberis, Emanuela, Freer, Chad, Hortiangtham, Apichart, Massironi, Andrea, Morse, David Michael, Orimoto, Toyoko, Teixeira De Lima, Rafael, Wamorkar, Tanvi, Florez, Carlos, Wang, Bingran, Wisecarver, Andrew, Wood, Darien, Bhattacharya, Saptaparna, Charaf, Otman, Hahn, Kristan Allan, Mucia, Nicholas, Odell, Nathaniel, Schmitt, Michael Henry, Sung, Kevin, González Hernández, Carlos Felipe, Trovato, Marco, Velasco, Mayda, Bucci, Rachael, Dev, Nabarun, Hildreth, Michael, Hurtado Anampa, Kenyi, Jessop, Colin, Karmgard, Daniel John, Kellams, Nathan, Lannon, Kevin, Segura Delgado, Manuel Alejandro, Li, Wenzhao, Loukas, Nikitas, Marinelli, Nancy, Meng, Fanbo, Mueller, Charles, Musienko, Yuri, Planer, Michael, Reinsvold, Allison, Ruchti, Randy, Siddireddy, Prasanna, Mikulec, Ivan, Courbon, Benoit, Smith, Geoffrey, Taroni, Silvia, Wayne, Mitchell, Wightman, Andrew, Wolf, Matthias, Woodard, Anna, Alimena, Juliette, Antonelli, Louis, Bylsma, Ben, Durkin, Lloyd Stanley, Godinovic, Nikola, Flowers, Sean, Francis, Brian, Hart, Andrew, Hill, Christopher, Ji, Weifeng, Ling, Ta-Yung, Luo, Wuming, Winer, Brian L, Wulsin, Howard Wells, Cooperstein, Stephane, Lelas, Damir, Driga, Olga, Elmer, Peter, Hardenbrook, Joshua, Hebda, Philip, Higginbotham, Samuel, Kalogeropoulos, Alexis, Lange, David, Luo, Jingyu, Marlow, Daniel, Mei, Kelvin, Puljak, Ivica, Ojalvo, Isabel, Olsen, James, Palmer, Christopher, Piroué, Pierre, Salfeld-Nebgen, Jakob, Stickland, David, Tully, Christopher, Malik, Sudhir, Norberg, Scarlet, Barker, Anthony, Sculac, Toni, Barnes, Virgil E, Das, Souvik, Gutay, Laszlo, Jones, Matthew, Jung, Andreas Werner, Khatiwada, Ajeeta, Miller, David Harry, Neumeister, Norbert, Peng, Cheng-Chieh, Qiu, Hao, Antunovic, Zeljko, Schulte, Jan-Frederik, Sun, Jian, Wang, Fuqiang, Xiao, Rui, Xie, Wei, Cheng, Tongguang, Dolen, James, Parashar, Neeti, Chen, Zhenyu, Ecklund, Karl Matthew, Kovac, Marko, Freed, Sarah, Geurts, Frank JM, Guilbaud, Maxime, Kilpatrick, Matthew, Li, Wei, Michlin, Benjamin, Padley, Brian Paul, Roberts, Jay, Rorie, Jamal, Shi, Wei, Brigljevic, Vuko, Tu, Zhoudunming, Zabel, James, Zhang, Aobo, Bodek, Arie, de Barbaro, Pawel, Demina, Regina, Duh, Yi-ting, Ferbel, Thomas, Galanti, Mario, Garcia-Bellido, Aran, Ferencek, Dinko, Han, Jiyeon, Hindrichs, Otto, Khukhunaishvili, Aleko, Lo, Kin Ho, Tan, Ping, Verzetti, Mauro, Ciesielski, Robert, Goulianos, Konstantin, Mesropian, Christina, Agapitos, Antonis, Kadija, Kreso, Chou, John Paul, Gershtein, Yuri, Gómez Espinosa, Tirso Alejandro, Halkiadakis, Eva, Heindl, Maximilian, Hughes, Elliot, Kaplan, Steven, Kunnawalkam Elayavalli, Raghav, Kyriacou, Savvas, Lath, Amitabh, Rad, Navid, Mesic, Benjamin, Montalvo, Roy, Nash, Kevin, Osherson, Marc, Saka, Halil, Salur, Sevil, Schnetzer, Steve, Sheffield, David, Somalwar, Sunil, Stone, Robert, Thomas, Scott, Starodumov, Andrei, Thomassen, Peter, Walker, Matthew, Delannoy, Andrés G, Heideman, Joseph, Riley, Grant, Rose, Keith, Spanier, Stefan, Thapa, Krishna, Bouhali, Othmane, Castaneda Hernandez, Alfredo, Susa, Tatjana, Celik, Ali, Dalchenko, Mykhailo, De Mattia, Marco, Delgado, Andrea, Dildick, Sven, Eusebi, Ricardo, Gilmore, Jason, Huang, Tao, Kamon, Teruki, Mueller, Ryan, Ather, Mohsan Waseem, Pakhotin, Yuriy, Patel, Rishi, Perloff, Alexx, Perniè, Luca, Rathjens, Denis, Safonov, Alexei, Tatarinov, Aysen, Akchurin, Nural, Damgov, Jordan, De Guio, Federico, Attikis, Alexandros, Dudero, Phillip Russell, Faulkner, James, Gurpinar, Emine, Kunori, Shuichi, Lamichhane, Kamal, Lee, Sung Won, Mengke, Tielige, Muthumuni, Samila, Peltola, Timo, Undleeb, Sonaina, Mavromanolakis, Georgios, Volobouev, Igor, Wang, Zhixing, Greene, Senta, Gurrola, Alfredo, Janjam, Ravi, Johns, Willard, Maguire, Charles, Melo, Andrew, Ni, Hong, Padeken, Klaas, Mousa, Jehad, Ruiz Alvarez, José David, Sheldon, Paul, Tuo, Shengquan, Velkovska, Julia, Xu, Qiao, Arenton, Michael Wayne, Barria, Patrizia, Cox, Bradley, Hirosky, Robert, Joyce, Matthew, Nicolaou, Charalambos, Ledovskoy, Alexander, Li, Hengne, Neu, Christopher, Sinthuprasith, Tutanon, Wang, Yanchu, Wolfe, Evan, Xia, Fan, Harr, Robert, Karchin, Paul Edmund, Poudyal, Nabin, Ptochos, Fotios, Sturdy, Jared, Thapa, Prakash, Zaleski, Shawn, Brodski, Michael, Buchanan, James, Caillol, Cécile, Carlsmith, Duncan, Dasu, Sridhara, Dodd, Laura, Duric, Senka, Razis, Panos A, Gomber, Bhawna, Grothe, Monika, Herndon, Matthew, Hervé, Alain, Hussain, Usama, Klabbers, Pamela, Lanaro, Armando, Levine, Aaron, Long, Kenneth, Loveless, Richard, Rohringer, Herbert, Rykaczewski, Hans, Rekovic, Vladimir, Ruggles, Tyler, Savin, Alexander, Smith, Nicholas, Smith, Wesley H, Woods, Nathaniel, CMS Collaboration, Finger, Miroslav, Finger Jr, Michael, Carrera Jarrin, Edgar, Mahmoud, Mohammed, Mohamed, Amr, Salama, Elsayed, Bhowmik, Sandeep, Dewanjee, Ram Krishna, Kadastik, Mario, Schieck, Jochen, Perrini, Lucia, Raidal, Martti, Veelken, Christian, Eerola, Paula, Kirschenmann, Henning, Pekkanen, Juska, Voutilainen, Mikko, Havukainen, Joona, Heikkilä, Jaana Kristiina, Jarvinen, Terhi, Schöfbeck, Robert, Karimäki, Veikko, Kinnunen, Ritva, Lampén, Tapio, Lassila-Perini, Kati, Laurila, Santeri, Lehti, Sami, Lindén, Tomas, Luukka, Panja-Riina, Mäenpää, Teppo, Siikonen, Hannu, Spanring, Markus, Tuominen, Eija, Tuominiemi, Jorma, Tuuva, Tuure, Besancon, Marc, Couderc, Fabrice, Dejardin, Marc, Denegri, Daniel, Faure, Jean-Louis, Ferri, Federico, Ganjour, Serguei, Spitzbart, Daniel, Ghosh, Saranya, Givernaud, Alain, Gras, Philippe, Hamel de Monchenault, Gautier, Jarry, Patrick, Leloup, Clément, Locci, Elizabeth, Machet, Martina, Malcles, Julie, Negro, Giulia, Taurok, Anton, Rander, John, Rosowsky, André, Sahin, Mehmet Özgür, Titov, Maksym, Abdulsalam, Abdulla, Amendola, Chiara, Antropov, Iurii, Baffioni, Stephanie, Beaudette, Florian, Busson, Philippe, Waltenberger, Wolfgang, Cadamuro, Luca, Charlot, Claude, Granier de Cassagnac, Raphael, Jo, Mihee, Kucher, Inna, Lisniak, Stanislav, Lobanov, Artur, Martin Blanco, Javier, Nguyen, Matthew, Ochando, Christophe, Ambrogi, Federico, Wittmann, Johannes, Ortona, Giacomo, Paganini, Pascal, Pigard, Philipp, Salerno, Roberto, Sauvan, Jean-Baptiste, Sirois, Yves, Stahl Leiton, Andre Govinda, Yilmaz, Yetkin, Zabi, Alexandre, Zghiche, Amina, Wulz, Claudia-Elisabeth, Agram, Jean-Laurent, Andrea, Jeremy, Bloch, Daniel, Brom, Jean-Marie, Chabert, Eric Christian, Collard, Caroline, Conte, Eric, Coubez, Xavier, Drouhin, Frédéric, Fontaine, Jean-Charles, Zarucki, Mateusz, Gelé, Denis, Goerlach, Ulrich, Jansová, Markéta, Juillot, Pierre, Le Bihan, Anne-Catherine, Tonon, Nicolas, Van Hove, Pierre, Gadrat, Sébastien, Beauceron, Stephanie, Bernet, Colin, Chekhovsky, Vladimir, Boudoul, Gaelle, Chanon, Nicolas, Chierici, Roberto, Contardo, Didier, Depasse, Pierre, El Mamouni, Houmani, Fay, Jean, Finco, Linda, Gascon, Susan, Gouzevitch, Maxime, Mossolov, Vladimir, Grenier, Gérald, Ille, Bernard, Lagarde, Francois, Laktineh, Imad Baptiste, Lattaud, Hugues, Lethuillier, Morgan, Mirabito, Laurent, Pequegnot, Anne-Laure, Perries, Stephane, Popov, Andrey, Suarez Gonzalez, Juan, Sordini, Viola, Vander Donckt, Muriel, Viret, Sébastien, Zhang, Sijing, Toriashvili, Tengizi, Tsamalaidze, Zviad, Autermann, Christian, Feld, Lutz, Kiesel, Maximilian Knut, Klein, Katja, De Wolf, Eddi A, Lipinski, Martin, Preuten, Marius, Rauch, Max Philip, Schomakers, Christian, Schulz, Johannes, Teroerde, Marius, Wittmer, Bruno, Zhukov, Valery, Albert, Andreas, Duchardt, Deborah, Di Croce, Davide, Endres, Matthias, Erdmann, Martin, Erdweg, Sören, Esch, Thomas, Fischer, Robert, Güth, Andreas, Hebbeker, Thomas, Heidemann, Carsten, Hoepfner, Kerstin, Knutzen, Simon, Janssen, Xavier, Merschmeyer, Markus, Meyer, Arnd, Millet, Philipp, Mukherjee, Swagata, Pook, Tobias, Radziej, Markus, Reithler, Hans, Rieger, Marcel, Scheuch, Florian, Teyssier, Daniel, Lauwers, Jasper, Thüer, Sebastian, Flügge, Günter, Kargoll, Bastian, Kress, Thomas, Künsken, Andreas, Müller, Thomas, Nehrkorn, Alexander, Nowack, Andreas, Pistone, Claudia, Pooth, Oliver, Asilar, Ece, Pieters, Maxim, Stahl, Achim, Aldaya Martin, Maria, Arndt, Till, Asawatangtrakuldee, Chayanit, Babounikau, Illia, Beernaert, Kelly, Behnke, Olaf, Behrens, Ulf, Bermúdez Martínez, Armando, Bertsche, David, Van De Klundert, Merijn, Bin Anuar, Afiq Aizuddin, Borras, Kerstin, Botta, Valeria, Campbell, Alan, Connor, Patrick, Contreras-Campana, Christian, Costanza, Francesco, Danilov, Vladyslav, De Wit, Adinda, Diez Pardos, Carmen, Van Haevermaet, Hans, Domínguez Damiani, Daniela, Eckerlin, Guenter, Eckstein, Doris, Eichhorn, Thomas, Elwood, Adam, Eren, Engin, Gallo, Elisabetta, Garay Garcia, Jasone, Geiser, Achim, Grados Luyando, Juan Manuel, Van Mechelen, Pierre, Grohsjean, Alexander, Gunnellini, Paolo, Guthoff, Moritz, Harb, Ali, Hauk, Johannes, Jung, Hannes, Kasemann, Matthias, Keaveney, James, Kleinwort, Claus, Knolle, Joscha, Van Remortel, Nick, Korol, Ievgen, Krücker, Dirk, Lange, Wolfgang, Lelek, Aleksandra, Lenz, Teresa, Lipka, Katerina, Lohmann, Wolfgang, Mankel, Rainer, Melzer-Pellmann, Isabell-Alissandra, Meyer, Andreas Bernhard, Abu Zeid, Shimaa, Meyer, Mareike, Missiroli, Marino, Mittag, Gregor, Mnich, Joachim, Mussgiller, Andreas, Pflitsch, Svenja Karen, Pitzl, Daniel, Raspereza, Alexei, Savitskyi, Mykola, Saxena, Pooja, Blekman, Freya, Schwanenberger, Christian, Shevchenko, Rostyslav, Singh, Akshansh, Stefaniuk, Nazar, Tholen, Heiner, Van Onsem, Gerrit Patrick, Walsh, Roberval, Wen, Yiwen, Wichmann, Katarzyna, Wissing, Christoph, D'Hondt, Jorgen, Zenaiev, Oleksandr, Aggleton, Robin, Bein, Samuel, Blobel, Volker, Centis Vignali, Matteo, Dreyer, Torben, Garbers, Christoph, Garutti, Erika, Gonzalez, Daniel, Haller, Johannes, De Bruyn, Isabelle, Hinzmann, Andreas, Hoffmann, Malte, Karavdina, Anastasia, Kasieczka, Gregor, Klanner, Robert, Kogler, Roman, Kovalchuk, Nataliia, Kurz, Simon, Kutzner, Viktor, Lange, Johannes, De Clercq, Jarne, Marconi, Daniele, Multhaup, Jens, Niedziela, Marek, Nowatschin, Dominik, Peiffer, Thomas, Perieanu, Adrian, Reimers, Arne, Scharf, Christian, Schleper, Peter, Schmidt, Alexander, Bergauer, Thomas, Deroover, Kevin, Schumann, Svenja, Schwandt, Joern, Sonneveld, Jory, Stadie, Hartmut, Steinbrück, Georg, Stober, Fred-Markus Helmut, Stöver, Marc, Troendle, Daniel, Usai, Emanuele, Vanhoefer, Annika, Flouris, Giannis, Vormwald, Benedikt, Akbiyik, Melike, Barth, Christian, Baselga, Marta, Baur, Sebastian, Butz, Erik, Caspart, René, Chwalek, Thorsten, Colombo, Fabio, De Boer, Wim, Lontkovskyi, Denys, Dierlamm, Alexander, Faltermann, Nils, Freund, Benedikt, Friese, Raphael, Giffels, Manuel, Harrendorf, Marco Alexander, Hartmann, Frank, Heindl, Stefan Michael, Husemann, Ulrich, Kassel, Florian, Lowette, Steven, Kudella, Simon, Mildner, Hannes, Mozer, Matthias Ulrich, Plagge, Michael, Quast, Gunter, Rabbertz, Klaus, Schröder, Matthias, Shvetsov, Ivan, Sieber, Georg, Marchesini, Ivan, Simonis, Hans-Jürgen, Ulrich, Ralf, Wayand, Stefan, Weber, Marc, Weiler, Thomas, Williamson, Shawn, Wöhrmann, Clemens, Wolf, Roger, Anagnostou, Georgios, Daskalakis, Georgios, Moortgat, Seth, Geralis, Theodoros, Kyriakis, Aristotelis, Loukas, Demetrios, Topsis-Giotis, Iasonas, Karathanasis, George, Kesisoglou, Stilianos, Panagiotou, Apostolos, Saoulidou, Niki, Tziaferi, Eirini, Kousouris, Konstantinos, Moreels, Lieselotte, Papakrivopoulos, Ioannis, Evangelou, Ioannis, Foudas, Costas, Gianneios, Paraskevas, Katsoulis, Panagiotis, Kokkas, Panagiotis, Mallios, Stavros, Manthos, Nikolaos, Papadopoulos, Ioannis, Paradas, Evangelos, Python, Quentin, Strologas, John, Triantis, Frixos A, Tsitsonis, Dimitrios, Csanad, Mate, Filipovic, Nicolas, Pasztor, Gabriella, Surányi, Olivér, Veres, Gabor Istvan, Bencze, Gyorgy, Hajdu, Csaba, Skovpen, Kirill, Horvath, Dezso, Hunyadi, Ádám, Sikler, Ferenc, Vámi, Tamás Álmos, Veszpremi, Viktor, Vesztergombi, Gyorgy, Beni, Noemi, Czellar, Sandor, Karancsi, János, Makovec, Alajos, Tavernier, Stefaan, Molnar, Jozsef, Szillasi, Zoltan, Bartók, Márton, Raics, Peter, Trocsanyi, Zoltan Laszlo, Ujvari, Balazs, Choudhury, Somnath, Komaragiri, Jyothsna Rani, Bahinipati, Seema, Mal, Prolay, Brandstetter, Johannes, Van Doninck, Walter, Mandal, Koushik, Nayak, Aruna, Sahoo, Deepak Kumar, Swain, Sanjay Kumar, Bansal, Sunil, Beri, Suman Bala, Bhatnagar, Vipin, Chauhan, Sushil, Chawla, Ridhi, Dhingra, Nitish, Van Mulders, Petra, Gupta, Rajat, Kaur, Anterpreet, Kaur, Manjit, Kaur, Sandeep, Kumar, Ramandeep, Kumari, Priyanka, Lohan, Manisha, Mehta, Ankita, Sharma, Sandeep, Singh, Jasbir, Van Parijs, Isis, Walia, Genius, Bhardwaj, Ashutosh, Choudhary, Brajesh C, Garg, Rocky Bala, Keshri, Sumit, Kumar, Ajay, Kumar, Ashok, Malhotra, Shivali, Naimuddin, Md, Ranjan, Kirti, Beghin, Diego, Shah, Aashaq, Sharma, Ramkrishna, Bhardwaj, Rishika, Bhattacharya, Rajarshi, Bhattacharya, Satyaki, Bhawandeep, Bhawandeep, Bhowmik, Debabrata, Dey, Sourav, Dutt, Suneel, Dutta, Suchandra, Bilin, Bugra, Ghosh, Shamik, Majumdar, Nayana, Mondal, Kuntal, Mukhopadhyay, Supratik, Nandan, Saswati, Purohit, Arnab, Rout, Prasant Kumar, Roy, Ashim, Roy Chowdhury, Suvankar, Sarkar, Subir, Brun, Hugues, Sharan, Manoj, Singh, Bipen, Thakur, Shalini, Behera, Prafulla Kumar, Chudasama, Ruchi, Dutta, Dipanwita, Jha, Vishwajeet, Kumar, Vineet, Mohanty, Ajit Kumar, Netrakanti, Pawan Kumar, Clerbaux, Barbara, Pant, Lalit Mohan, Shukla, Prashant, Topkar, Anita, Aziz, Tariq, Dugad, Shashikant, Mahakud, Bibhuprasad, Mitra, Soureek, Mohanty, Gagan Bihari, Sur, Nairit, Sutar, Bajrang, De Lentdecker, Gilles, Banerjee, Sudeshna, Bhattacharya, Soham, Chatterjee, Suman, Das, Pallabi, Guchait, Monoranjan, Jain, Sandhya, Kumar, Sanjeev, Maity, Manas, Majumder, Gobinda, Mazumdar, Kajari, Delannoy, Hugo, Sahoo, Niladribihari, Sarkar, Tanmay, Wickramage, Nadeesha, Chauhan, Shubhanshu, Dube, Sourabh, Hegde, Vinay, Kapoor, Anshul, Kothekar, Kunal, Pandey, Shubham, Rane, Aditee, Dorney, Brian, Sharma, Seema, Chenarani, Shirin, Eskandari Tadavani, Esmaeel, Etesami, Seyed Mohsen, Khakzad, Mohsen, Mohammadi Najafabadi, Mojtaba, Naseri, Mohsen, Paktinat Mehdiabadi, Saeid, Rezaei Hosseinabadi, Ferdos, Safarzadeh, Batool, Brondolin, Erica, Fasanella, Giuseppe, Zeinali, Maryam, Felcini, Marta, Grunewald, Martin, Abbrescia, Marcello, Calabria, Cesare, Colaleo, Anna, Creanza, Donato, Cristella, Leonardo, De Filippis, Nicola, De Palma, Mauro, Favart, Laurent, Di Florio, Adriano, Errico, Filippo, Fiore, Luigi, Gelmi, Andrea, Iaselli, Giuseppe, Lezki, Samet, Maggi, Giorgio, Maggi, Marcello, Marangelli, Bartolomeo, Miniello, Giorgia, Goldouzian, Reza, My, Salvatore, Nuzzo, Salvatore, Pompili, Alexis, Pugliese, Gabriella, Radogna, Raffaella, Ranieri, Antonio, Selvaggi, Giovanna, Silvestris, Lucia, Venditti, Rosamaria, Grebenyuk, Anastasia, Verwilligen, Piet, Zito, Giuseppe, Abbiendi, Giovanni, Battilana, Carlo, Bonacorsi, Daniele, Borgonovi, Lisa, Braibant-Giacomelli, Sylvie, Brigliadori, Luca, Campanini, Renato, Capiluppi, Paolo, Kalsi, Amandeep Kaur, Castro, Andrea, Cavallo, Francesca Romana, Chhibra, Simranjit Singh, Codispoti, Giuseppe, Cuffiani, Marco, Dallavalle, Gaetano-Marco, Fabbri, Fabrizio, Fanfani, Alessandra, Fasanella, Daniele, Giacomelli, Paolo, Lenzi, Thomas, Grandi, Claudio, Guiducci, Luigi, Iemmi, Fabio, Marcellini, Stefano, Masetti, Gianni, Montanari, Alessandro, Navarria, Francesco, Perrotta, Andrea, Rovelli, Tiziano, Siroli, Gian Piero, Luetic, Jelena, Tosi, Nicolò, Albergo, Sebastiano, Costa, Salvatore, Di Mattia, Alessandro, Giordano, Ferdinando, Potenza, Renato, Tricomi, Alessia, Tuve, Cristina, Barbagli, Giuseppe, Chatterjee, Kalyanmoy, Seva, Tomislav, Ciulli, Vitaliano, Civinini, Carlo, D'Alessandro, Raffaello, Focardi, Ettore, Latino, Giuseppe, Lenzi, Piergiulio, Meschini, Marco, Paoletti, Simone, Russo, Lorenzo, Sguazzoni, Giacomo, Starling, Elizabeth, Strom, Derek, Viliani, Lorenzo, Benussi, Luigi, Bianco, Stefano, Fabbri, Franco, Piccolo, Davide, Primavera, Federica, Calvelli, Valerio, Ferro, Fabrizio, Ravera, Fabio, Vander Velde, Catherine, Robutti, Enrico, Tosi, Silvano, Benaglia, Andrea, Beschi, Andrea, Brianza, Luca, Brivio, Francesco, Ciriolo, Vincenzo, Dinardo, Mauro Emanuele, Fiorendi, Sara, Gennai, Simone, Dragicevic, Marko, Vanlaer, Pascal, Ghezzi, Alessio, Govoni, Pietro, Malberti, Martina, Malvezzi, Sandra, Manzoni, Riccardo Andrea, Menasce, Dario, Moroni, Luigi, Paganoni, Marco, Pauwels, Kristof, Pedrini, Daniele, Vannerom, David, Pigazzini, Simone, Ragazzi, Stefano, Tabarelli de Fatis, Tommaso, Buontempo, Salvatore, Cavallo, Nicola, Di Guida, Salvatore, Fabozzi, Francesco, Fienga, Francesco, Galati, Giuliana, Iorio, Alberto Orso Maria, Yonamine, Ryo, Khan, Wajid Ali, Lista, Luca, Meola, Sabino, Paolucci, Pierluigi, Sciacca, Crisostomo, Thyssen, Filip, Voevodina, Elena, Azzi, Patrizia, Bacchetta, Nicola, Benato, Lisa, Cornelis, Tom, Bisello, Dario, Boletti, Alessio, Carlin, Roberto, Checchia, Paolo, Dall'Osso, Martino, De Castro Manzano, Pablo, Dorigo, Tommaso, Dosselli, Umberto, Gasparini, Fabrizio, Gasparini, Ugo, Dobur, Didar, Gozzelino, Andrea, Lacaprara, Stefano, Lujan, Paul, Margoni, Martino, Meneguzzo, Anna Teresa, Pozzobon, Nicola, Ronchese, Paolo, Rossin, Roberto, Simonetto, Franco, Tiko, Andres, Fagot, Alexis, Torassa, Ezio, Ventura, Sandro, Zanetti, Marco, Zotto, Pierluigi, Braghieri, Alessandro, Magnani, Alice, Montagna, Paolo, Ratti, Sergio P, Re, Valerio, Ressegotti, Martina, Gul, Muhammad, Riccardi, Cristina, Salvini, Paola, Vai, Ilaria, Vitulo, Paolo, Alunni Solestizi, Luisa, Biasini, Maurizio, Bilei, Gian Mario, Cecchi, Claudia, Ciangottini, Diego, Fanò, Livio, Khvastunov, Illia, Lariccia, Paolo, Leonardi, Roberto, Manoni, Elisa, Mantovani, Giancarlo, Mariani, Valentina, Menichelli, Mauro, Rossi, Alessandro, Santocchia, Attilio, Spiga, Daniele, Androsov, Konstantin, Poyraz, Deniz, Azzurri, Paolo, Bagliesi, Giuseppe, Bianchini, Lorenzo, Boccali, Tommaso, Borrello, Laura, Castaldi, Rino, Ciocci, Maria Agnese, Dell'Orso, Roberto, Fedi, Giacomo, Giannini, Leonardo, Roskas, Christos, Giassi, Alessandro, Grippo, Maria Teresa, Ligabue, Franco, Lomtadze, Teimuraz, Manca, Elisabetta, Mandorli, Giulio, Messineo, Alberto, Palla, Fabrizio, Rizzi, Andrea, Spagnolo, Paolo, Erö, Janos, Trocino, Daniele, Tenchini, Roberto, Tonelli, Guido, Venturi, Andrea, Verdini, Piero Giorgio, Barone, Luciano, Cavallari, Francesca, Cipriani, Marco, Daci, Nadir, Del Re, Daniele, Di Marco, Emanuele, Tytgat, Michael, Diemoz, Marcella, Gelli, Simone, Longo, Egidio, Marzocchi, Badder, Meridiani, Paolo, Organtini, Giovanni, Pandolfi, Francesco, Paramatti, Riccardo, Preiato, Federico, Rahatlou, Shahram, Verbeke, Willem, Rovelli, Chiara, Santanastasio, Francesco, Amapane, Nicola, Arcidiacono, Roberta, Argiro, Stefano, Arneodo, Michele, Bartosik, Nazar, Bellan, Riccardo, Biino, Cristina, Cartiglia, Nicolo, Vermassen, Basile, Castello, Roberto, Cenna, Francesca, Costa, Marco, Covarelli, Roberto, Degano, Alessandro, Demaria, Natale, Kiani, Bilal, Mariotti, Chiara, Maselli, Silvia, Migliore, Ernesto, Vit, Martina, Monaco, Vincenzo, Monteil, Ennio, Monteno, Marco, Obertino, Maria Margherita, Pacher, Luca, Pastrone, Nadia, Pelliccioni, Mario, Pinna Angioni, Gian Luca, Romero, Alessandra, Ruspa, Marta, Zaganidis, Nicolas, Sacchi, Roberto, Shchelina, Ksenia, Sola, Valentina, Solano, Ada, Staiano, Amedeo, Belforte, Stefano, Candelise, Vieri, Casarsa, Massimo, Cossutti, Fabio, Della Ricca, Giuseppe, Bakhshiansohi, Hamed, Vazzoler, Federico, Zanetti, Anna, Kim, Dong Hee, Kim, Gui Nyun, Kim, Min Suk, Lee, Jeongeun, Lee, Sangeun, Lee, Seh Wook, Moon, Chang-Seong, Oh, Young Do, Bondu, Olivier, Sekmen, Sezen, Son, Dong-Chul, Yang, Yu Chul, Kim, Hyunchul, Moon, Dong Ho, Oh, Geonhee, Brochero Cifuentes, Javier Andres, Goh, Junghwan, Kim, Tae Jeong, Cho, Sungwoong, Brochet, Sébastien, Choi, Suyong, Go, Yeonju, Gyun, Dooyeon, Ha, Seungkyu, Hong, Byung-Sik, Jo, Youngkwon, Kim, Yongsun, Lee, Kisoo, Lee, Kyong Sei, Lee, Songkyo, Bruno, Giacomo, Lim, Jaehoon, Park, Sung Keun, Roh, Youn, Almond, John, Kim, Junho, Kim, Jae Sung, Lee, Haneol, Lee, Kyeongpil, Nam, Kyungwook, Oh, Sung Bin, SCOAP, Sirunyan, AM, Tumasyan, A, Adam, W, Ambrogi, F, Asilar, E, Bergauer, T, Brandstetter, J, Brondolin, E, Dragicevic, M, Ero, J, Del Valle, AE, Flechl, M, Friedl, M, Fruhwirth, R, Ghete, VM, Hrubec, J, Jeitler, M, Krammer, N, Kratschmer, I, Liko, D, Madlener, T, Mikulec, I, Rad, N, Rohringer, H, Schieck, J, Schofbeck, R, Spanring, M, Spitzbart, D, Taurok, A, Waltenberger, W, Wittmann, J, Wulz, CE, Zarucki, M, Chekhovsky, V, Mossolov, V, Gonzalez, JS, De Wolf, EA, Di Croce, D, Janssen, X, Lauwers, J, Pieters, M, Van De Klundert, M, Van Haevermaet, H, Van Mechelen, P, Van Remortel, N, Abu Zeid, S, Blekman, F, D'Hondt, J, De Bruyn, I, De Clercq, J, Deroover, K, Flouris, G, Lontkovskyi, D, Lowette, S, Marchesini, I, Moortgat, S, Moreels, L, Python, Q, Skovpen, K, Tavernier, S, Van Doninck, W, Van Mulders, P, Van Parijs, I, Beghin, D, Bilin, B, Brun, H, Clerbaux, B, De Lentdecker, G, Delannoy, H, Dorney, B, Fasanella, G, Favart, L, Goldouzian, R, Grebenyuk, A, Kalsi, AK, Lenzi, T, Luetic, J, Seva, T, Starling, E, Vander Velde, C, Vanlaer, P, Vannerom, D, Yonamine, R, Cornelis, T, Dobur, D, Fagot, A, Gul, M, Khvastunov, I, Poyraz, D, Roskas, C, Trocino, D, Tytgat, M, Verbeke, W, Vermassen, B, Vit, M, Zaganidis, N, Bakhshiansohi, H, Bondu, O, Brochet, S, Bruno, G, Caputo, C, Caudron, A, David, P, De Visscher, S, Delaere, C, Delcourt, M, Francois, B, Giammanco, A, Krintiras, G, Lemaitre, V, Magitteri, A, Mertens, A, Musich, M, Piotrzkowski, K, Quertenmont, L, Saggio, A, Marono, MV, Wertz, S, Zobec, J, Alda, WL, Alves, FL, Alves, GA, Brito, L, Silva, GC, Hensel, C, Moraes, A, Pol, ME, Teles, PR, Das Chagas, EBB, Carvalho, W, Chinellato, J, Coelho, E, Da Costa, EM, Da Silveira, GG, Damiao, DD, De Souza, SF, Malbouisson, H, Jaime, MM, De Almeida, MM, Herrera, CM, Mundim, L, Nogima, H, Rosas, LJS, Santoro, A, Sznajder, A, Thiel, M, Manganote, EJT, De Araujo, FTD, Pereira, AV, Ahuja, S, Bernardes, CA, Calligaris, L, Tomei, TRFP, Gregores, EM, Mercadante, PG, Novaes, SF, Padula, SS, Abad, DR, Vargas, JCR, Aleksandrov, A, Hadjiiska, R, Iaydjiev, P, Marinov, A, Misheva, M, Rodozov, M, Shopova, M, Sultanov, G, Dimitrov, A, Litov, L, Pavlov, B, Petkov, P, Fang, W, Gao, X, Yuan, L, Ahmad, M, Bian, JG, Chen, GM, Chen, HS, Chen, M, Chen, Y, Jiang, CH, Leggat, D, Liao, H, Liu, Z, Romeo, F, Shaheen, SM, Spiezia, A, Tao, J, Wang, C, Wang, Z, Yazgan, E, Zhang, H, Zhao, J, Ban, Y, Chen, G, Li, J, Li, Q, Liu, S, Mao, Y, Qian, SJ, Wang, D, Xu, Z, Wang, Y, Avila, C, Cabrera, A, Montoya, CAC, Sierra, LFC, Florez, C, Hernandez, CFG, Delgado, MAS, Courbon, B, Godinovic, N, Lelas, D, Puljak, I, Sculac, T, Antunovic, Z, Kovac, M, Brigljevic, V, Ferencek, D, Kadija, K, Mesic, B, Starodumov, A, Susa, T, Ather, MW, Attikis, A, Mavromanolakis, G, Mousa, J, Nicolaou, C, Ptochos, F, Razis, PA, Rykaczewski, H, Finger, M, Jarrin, EC, Mahmoud, MA, Mohamed, EA, Salama, E, Bhowmik, S, Dewanjee, RK, Kadastik, M, Perrini, L, Raidal, M, Veelken, C, Eerola, P, Kirschenmann, H, Pekkanen, J, Voutilainen, M, Havukainen, J, Heikkila, JK, Jarvinen, T, Karimaki, V, Kinnunen, R, Lampen, T, Lassila-Perini, K, Laurila, S, Lehti, S, Linden, T, Luukka, P, Maenpaa, T, Siikonen, H, Tuominen, E, Tuominiemi, J, Tuuva, T, Besancon, M, Couderc, F, Dejardin, M, Denegri, D, Faure, JL, Ferri, F, Ganjour, S, Ghosh, S, Givernaud, A, Gras, P, de Monchenault, GH, Jarry, P, Leloup, C, Locci, E, Machet, M, Malcles, J, Negro, G, Rander, J, Rosowsky, A, Sahin, MO, Titov, M, Abdulsalam, A, Amendola, C, Antropov, I, Baffioni, S, Beaudette, F, Busson, P, Cadamuro, L, Charlot, C, de Cassagnac, RG, Jo, M, Kucher, I, Lisniak, S, Lobanov, A, Blanco, JM, Nguyen, M, Ochando, C, Ortona, G, Paganini, P, Pigard, P, Salerno, R, Sauvan, JB, Sirois, Y, Leiton, AGS, Yilmaz, Y, Zabi, A, Zghiche, A, Agram, JL, Andrea, J, Bloch, D, Brom, JM, Chabert, EC, Collard, C, Conte, E, Coubez, X, Drouhin, F, Fontaine, JC, Gele, D, Goerlach, U, Jansova, M, Juillot, P, Le Bihan, AC, Tonon, N, Van Hove, P, Gadrat, S, Beauceron, S, Bernet, C, Boudoul, G, Chanon, N, Chierici, R, Contardo, D, Depasse, P, El Mamouni, H, Fay, J, Finco, L, Gascon, S, Gouzevitch, M, Grenier, G, Ille, B, Lagarde, F, Laktineh, IB, Lattaud, H, Lethuillier, M, Mirabito, L, Pequegnot, AL, Perries, S, Popov, A, Sordini, V, Vander Donckt, M, Viret, S, Zhang, S, Toriashvili, T, Tsamalaidze, Z, Autermann, C, Feld, L, Kiesel, MK, Klein, K, Lipinski, M, Preuten, M, Rauch, MP, Schomakers, C, Schulz, J, Teroerde, M, Wittmer, B, Zhukov, V, Albert, A, Duchardt, D, Endres, M, Erdmann, M, Erdweg, S, Esch, T, Fischer, R, Guth, A, Hebbeker, T, Heidemann, C, Hoepfner, K, Knutzen, S, Merschmeyer, M, Meyer, A, Millet, P, Mukherjee, S, Pook, T, Radziej, M, Reithler, H, Rieger, M, Scheuch, F, Teyssier, D, Thuer, S, Flugge, G, Kargoll, B, Kress, T, Kunsken, A, Muller, T, Nehrkorn, A, Nowack, A, Pistone, C, Pooth, O, Stahl, A, Martin, MA, Arndt, T, Asawatangtrakuldee, C, Babounikau, I, Beernaert, K, Behnke, O, Behrens, U, Martinez, AB, Bertsche, D, Bin Anuar, AA, Borras, K, Botta, V, Campbell, A, Connor, P, Contreras-Campana, C, Costanza, F, Danilov, V, De Wit, A, Pardos, CD, Damiani, DD, Eckerlin, G, Eckstein, D, Eichhorn, T, Elwood, A, Eren, E, Gallo, E, Garcia, JG, Geiser, A, Luyando, JMG, Grohsjean, A, Gunnellini, P, Guthoff, M, Harb, A, Hauk, J, Jung, H, Kasemann, M, Keaveney, J, Kleinwort, C, Knolle, J, Korol, I, Krucker, D, Lange, W, Lelek, A, Lenz, T, Lipka, K, Lohmann, W, Mankel, R, Melzer-Pellmann, IA, Meyer, AB, Meyer, M, Missiroli, M, Mittag, G, Mnich, J, Mussgiller, A, Pflitsch, SK, Pitzl, D, Raspereza, A, Savitskyi, M, Saxena, P, Schwanenberger, C, Shevchenko, R, Singh, A, Stefaniuk, N, Tholen, H, Van Onsem, GP, Walsh, R, Wen, Y, Wichmann, K, Wissing, C, Zenaiev, O, Aggleton, R, Bein, S, Blobel, V, Vignali, MC, Dreyer, T, Garbers, C, Garutti, E, Gonzalez, D, Haller, J, Hinzmann, A, Hoffmann, M, Karavdina, A, Kasieczka, G, Klanner, R, Kogler, R, Kovalchuk, N, Kurz, S, Kutzner, V, Lange, J, Marconi, D, Multhaup, J, Niedziela, M, Nowatschin, D, Peiffer, T, Perieanu, A, Reimers, A, Scharf, C, Schleper, P, Schmidt, A, Schumann, S, Schwandt, J, Sonneveld, J, Stadie, H, Steinbruck, G, Stober, FM, Stover, M, Troendle, D, Usai, E, Vanhoefer, A, Vormwald, B, Akbiyik, M, Barth, C, Baselga, M, Baur, S, Butz, E, Caspart, R, Chwalek, T, Colombo, F, De Boer, W, Dierlamm, A, Faltermann, N, Freund, B, Friese, R, Giffels, M, Harrendorf, MA, Hartmann, F, Heindl, SM, Husemann, U, Kassel, F, Kudella, S, Mildner, H, Mozer, MU, Plagge, M, Quast, G, Rabbertz, K, Schroder, M, Shvetsov, I, Sieber, G, Simonis, HJ, Ulrich, R, Wayand, S, Weber, M, Weiler, T, Williamson, S, Wohrmann, C, Wolf, R, Anagnostou, G, Daskalakis, G, Geralis, T, Kyriakis, A, Loukas, D, Topsis-Giotis, I, Karathanasis, G, Kesisoglou, S, Panagiotou, A, Saoulidou, N, Tziaferi, E, Kousouris, K, Papakrivopoulos, I, Evangelou, I, Foudas, C, Gianneios, P, Katsoulis, P, Kokkas, P, Mallios, S, Manthos, N, Papadopoulos, I, Paradas, E, Strologas, J, Triantis, FA, Tsitsonis, D, Csanad, M, Filipovic, N, Pasztor, G, Suranyi, O, Veres, GI, Bencze, G, Hajdu, C, Horvath, D, Hunyadi, A, Sikler, F, Vami, TA, Veszpremi, V, Vesztergombi, G, Beni, N, Czellar, S, Karancsi, J, Makovec, A, Molnar, J, Szillasi, Z, Bartok, M, Raics, P, Trocsanyi, ZL, Ujvari, B, Choudhury, S, Komaragiri, JR, Bahinipati, S, Mal, P, Mandal, K, Nayak, A, Sahoo, DK, Swain, SK, Bansal, S, Beri, SB, Bhatnagar, V, Chauhan, S, Chawla, R, Dhingra, N, Gupta, R, Kaur, A, Kaur, M, Kaur, S, Kumar, R, Kumari, P, Lohan, M, Mehta, A, Sharma, S, Singh, JB, Walia, G, Bhardwaj, A, Choudhary, BC, Garg, RB, Keshri, S, Kumar, A, Malhotra, S, Naimuddin, M, Ranjan, K, Shah, AS, Sharma, R, Bhardwaj, R, Bhattacharya, R, Bhattacharya, S, Bhawandeep, U, Bhowmik, D, Dey, S, Dutt, S, Dutta, S, Majumdar, N, Mondal, K, Mukhopadhyay, S, Nandan, S, Purohit, A, Rout, PK, Roy, A, Chowdhury, SR, Sarkar, S, Sharan, M, Singh, B, Thakur, S, Behera, PK, Chudasama, R, Dutta, D, Jha, V, Kumar, V, Mohanty, AK, Netrakanti, PK, Pant, LM, Shukla, P, Topkar, A, Aziz, T, Dugad, S, Mahakud, B, Mitra, S, Mohanty, GB, Sur, N, Sutar, B, Banerjee, S, Chatterjee, S, Das, P, Guchait, M, Jain, S, Kumar, S, Maity, M, Majumder, G, Mazumdar, K, Sahoo, N, Sarkar, T, Wickramage, N, Dube, S, Hegde, V, Kapoor, A, Kothekar, K, Pandey, S, Rane, A, Chenarani, S, Tadavani, EE, Etesami, SM, Khakzad, M, Najafabadi, MM, Naseri, M, Mehdiabadi, SP, Hosseinabadi, FR, Safarzadeh, B, Zeinali, M, Felcini, M, Grunewald, M, Abbrescia, M, Calabria, C, Colaleo, A, Creanza, D, Cristella, L, De Filippis, N, De Palma, M, Di Florio, A, Errico, F, Fiore, L, Gelmi, A, Iaselli, G, Lezki, S, Maggi, G, Maggi, M, Marangelli, B, Miniello, G, My, S, Nuzzo, S, Pompili, A, Pugliese, G, Radogna, R, Ranieri, A, Selvaggi, G, Sharma, A, Silvestris, L, Venditti, R, Verwilligen, P, Zito, G, Abbiendi, G, Battilana, C, Bonacorsi, D, Borgonovi, L, Braibant-Giacomelli, S, Brigliadori, L, Campanini, R, Capiluppi, P, Castro, A, Cavallo, FR, Chhibra, SS, Codispoti, G, Cuffiani, M, Dallavalle, GM, Fabbri, F, Fanfani, A, Fasanella, D, Giacomelli, P, Grandi, C, Guiducci, L, Iemmi, F, Marcellini, S, Masetti, G, Montanari, A, Navarria, FL, Perrotta, A, Rovelli, T, Siroli, GP, Tosi, N, Albergo, S, Costa, S, Di Mattia, A, Giordano, F, Potenza, R, Tricomi, A, Tuve, C, Barbagli, G, Chatterjee, K, Ciulli, V, Civinini, C, D'Alessandro, R, Focardi, E, Latino, G, Lenzi, P, Meschini, M, Paoletti, S, Russo, L, Sguazzoni, G, Strom, D, Viliani, L, Benussi, L, Bianco, S, Piccolo, D, Primavera, F, Calvelli, V, Ferro, F, Ravera, F, Robutti, E, Tosi, S, Benaglia, A, Beschi, A, Brianza, L, Brivio, F, Ciriolo, V, Dinardo, ME, Fiorendi, S, Gennai, S, Ghezzi, A, Govoni, P, Malberti, M, Malvezzi, S, Manzoni, RA, Menasce, D, Moroni, L, Paganoni, M, Pauwels, K, Pedrini, D, Pigazzini, S, Ragazzi, S, de Fatis, TT, Buontempo, S, Cavallo, N, Di Guida, S, Fabozzi, F, Fienga, F, Galati, G, Iorio, AOM, Khan, WA, Lista, L, Meola, S, Paolucci, P, Sciacca, C, Thyssen, F, Voevodina, E, Azzi, P, Bacchetta, N, Benato, L, Bisello, D, Boletti, A, Carlin, R, Checchia, P, Dall'Osso, M, Manzano, PD, Dorigo, T, Dosselli, U, Gasparini, F, Gasparini, U, Gozzelino, A, Lacaprara, S, Lujan, P, Margoni, M, Meneguzzo, AT, Pozzobon, N, Ronchese, P, Rossin, R, Simonetto, F, Tiko, A, Torassa, E, Ventura, S, Zanetti, M, Zotto, P, Braghieri, A, Magnani, A, Montagna, P, Ratti, SP, Re, V, Ressegotti, M, Riccardi, C, Salvini, P, Vai, I, Vitulo, P, Solestizi, LA, Biasini, M, Bilei, GM, Cecchi, C, Ciangottini, D, Fano, L, Lariccia, P, Leonardi, R, Manoni, E, Mantovani, G, Mariani, V, Menichelli, M, Rossi, A, Santocchia, A, Spiga, D, Androsov, K, Azzurri, P, Bagliesi, G, Bianchini, L, Boccali, T, Borrello, L, Castaldi, R, Ciocci, MA, Dell'Orso, R, Fedi, G, Giannini, L, Giassi, A, Grippo, MT, Ligabue, F, Lomtadze, T, Manca, E, Mandorli, G, Messineo, A, Palla, F, Rizzi, A, Spagnolo, P, Tenchini, R, Tonelli, G, Venturi, A, Verdini, PG, Barone, L, Cavallari, F, Cipriani, M, Daci, N, Del Re, D, Di Marco, E, Diemoz, M, Gelli, S, Longo, E, Marzocchi, B, Meridiani, P, Organtini, G, Pandolfi, F, Paramatti, R, Preiato, F, Rahatlou, S, Rovelli, C, Santanastasio, F, Amapane, N, Arcidiacono, R, Argiro, S, Arneodo, M, Bartosik, N, Bellan, R, Biino, C, Cartiglia, N, Castello, R, Cenna, F, Costa, M, Covarelli, R, Degano, A, Demaria, N, Kiani, B, Mariotti, C, Maselli, S, Migliore, E, Monaco, V, Monteil, E, Monteno, M, Obertino, MM, Pacher, L, Pastrone, N, Pelliccioni, M, Angioni, GLP, Romero, A, Ruspa, M, Sacchi, R, Shchelina, K, Sola, V, Solano, A, Staiano, A, Belforte, S, Candelise, V, Casarsa, M, Cossutti, F, Della Ricca, G, Vazzoler, F, Zanetti, A, Kim, DH, Kim, GN, Kim, MS, Lee, J, Lee, S, Lee, SW, Moon, CS, Oh, YD, Sekmen, S, Son, DC, Yang, YC, Kim, H, Moon, DH, Oh, G, Cifuentes, JAB, Goh, J, Kim, TJ, Cho, S, Choi, S, Go, Y, Gyun, D, Ha, S, Hong, B, Jo, Y, Kim, Y, Lee, K, Lee, KS, Lim, J, Park, SK, Roh, Y, Almond, J, Kim, J, Kim, JS, Lee, H, Nam, K, Oh, SB, Radburn-Smith, BC, Seo, SH, Yang, UK, Yoo, HD, Yu, GB, Kim, JH, Lee, JSH, Park, IC, Choi, Y, Hwang, C, Yu, I, Dudenas, V, Juodagalvis, A, Vaitkus, J, Ahmed, I, Ibrahim, ZA, Ali, MABM, Idris, FM, Abdullah, WATW, Yusli, MN, Zolkapli, Z, Duran-Osuna, MC, Castilla-Valdez, H, De La Cruz-burelo, E, Ramirez-Sanchez, G, Heredia-De La Cruz, I, Rabadan-Trejo, RI, Lopez-Fernandez, R, Guisao, JM, RAR, Sanchez-Hernandez, A, Moreno, SC, Barrera, CO, Valencia, FV, Eysermans, J, Pedraza, I, Ibarguen, HAS, Estrada, CU, Pineda, AM, Krofcheck, D, Bheesette, S, Butler, PH, Ahmad, A, Hassan, Q, Hoorani, HR, Saddique, A, Shah, MA, Shoaib, M, Waqas, M, Bialkowska, H, Bluj, M, Boimska, B, Frueboes, T, Gorski, M, Kazana, M, Nawrocki, K, Szleper, M, Traczyk, P, Zalewski, P, Bunkowski, K, Byszuk, A, Doroba, K, Kalinowski, A, Konecki, M, Krolikowski, J, Misiura, M, Olszewski, M, Pyskir, A, Walczak, M, Bargassa, P, Silva, CBDE, Di Francesco, A, Faccioli, P, Galinhas, B, Gallinaro, M, Hollar, J, Leonardo, N, Iglesias, LL, Nemallapudi, MV, Seixas, J, Strong, G, Toldaiev, O, Vadruccio, D, Varela, J, Baginyan, A, Golutvin, I, Kamenev, A, Karjavin, V, Korenkov, V, Kozlov, G, Lanev, A, Malakhov, A, Matveev, V, Mitsyn, VV, Moisenz, P, Palichik, V, Perelygin, V, Shmatov, S, Smirnov, V, Trofimov, V, Yuldashev, BS, Zarubin, A, Zhiltsov, V, Ivanov, Y, Kim, V, Kuznetsova, E, Levchenko, P, Murzin, V, Oreshkin, V, Smirnov, I, Sosnov, D, Sulimov, V, Uvarov, L, Vavilov, S, Vorobyev, A, Andreev, Y, Dermenev, A, Gninenko, S, Golubev, N, Karneyeu, A, Kirsanov, M, Krasnikov, N, Pashenkov, A, Tlisov, D, Toropin, A, Epshteyn, V, Gavrilov, V, Lychkovskaya, N, Popov, V, Pozdnyakov, I, Safronov, G, Spiridonov, A, Stepennov, A, Stolin, V, Toms, M, Vlasov, E, Zhokin, A, Aushev, T, Bylinkin, A, Chadeeva, M, Parygin, P, Philippov, D, Polikarpov, S, Popova, E, Rusinov, V, Andreev, V, Azarkin, M, Dremin, I, Kirakosyan, M, Rusakov, SV, Terkulov, A, Baskakov, A, Belyaev, A, Boos, E, Bunichev, V, Dubinin, M, Dudko, L, Klyukhin, V, Korneeva, N, Lokhtin, I, Miagkov, I, Obraztsov, S, Perfilov, M, Petrushanko, S, Savrin, V, Snigirev, A, Blinov, V, Shtol, D, Skovpen, Y, Azhgirey, I, Bayshev, I, Bitioukov, S, Elumakhov, D, Godizov, A, Kachanov, V, Kalinin, A, Konstantinov, D, Mandrik, P, Petrov, V, Ryutin, R, Sobol, A, Troshin, S, Tyurin, N, Uzunian, A, Volkov, A, Babaev, A, Adzic, P, Cirkovic, P, Devetak, D, Dordevic, M, Milosevic, J, Maestre, JA, Fernandez, AA, Bachiller, I, Luna, MB, Cerrada, M, Colino, N, De La Cruz, B, Peris, AD, Bedoya, CF, Ramos, JPF, Flix, J, Fouz, MC, Lopez, OG, Lopez, SG, Hernandez, JM, Josa, MI, Moran, D, Yzquierdo, APC, Pelayo, JP, Redondo, I, Romero, L, Soares, MS, Triossi, A, Albajar, C, de Troconiz, JF, Cuevas, J, Erice, C, Menendez, JF, Folgueras, S, Caballero, IG, Fernandez, JRG, Cortezon, EP, Cruz, SS, Vischia, P, Garcia, JMV, Cabrillo, IJ, Calderon, A, Quero, BC, Campderros, JD, Fernandez, M, Manteca, PJF, Alonso, AG, Garcia-Ferrero, J, Gomez, G, Virto, AL, Marco, J, Rivero, CM, del Arbol, PMR, Matorras, F, Gomez, JP, Prieels, C, Rodrigo, T, Ruiz-Jimeno, A, Scodellaro, L, Trevisani, N, Vila, I, Cortabitarte, RV, Abbaneo, D, Akgun, B, Auffray, E, Baillon, P, Ball, AH, Barney, D, Bendavid, J, Bianco, M, Bocci, A, Botta, C, Camporesi, T, Cepeda, M, Cerminara, G, Chapon, E, d'Enterria, D, Dabrowski, A, Daponte, V, David, A, De Gruttola, M, De Roeck, A, Deelen, N, Dobson, M, du Pree, T, Dunser, M, Dupont, N, Elliott-Peisert, A, Everaerts, P, Fallavollita, F, Franzoni, G, Fulcher, J, Funk, W, Gigi, D, Gilbert, A, Gill, K, Glege, F, Gulhan, D, Hegeman, J, Innocente, V, Jafari, A, Janot, P, Karacheban, O, Kieseler, J, Knunz, V, Kornmayer, A, Krammer, M, Lange, C, Lecoq, P, Lourenco, C, Lucchini, MT, Malgeri, L, Mannelli, M, Martelli, A, Meijers, F, Merlin, JA, Mersi, S, Meschi, E, Milenovic, P, Moortgat, F, Mulders, M, Neugebauer, H, Ngadiuba, J, Orfanelli, S, Orsini, L, Pantaleo, F, Pape, L, Perez, E, Peruzzi, M, Petrilli, A, Petrucciani, G, Pfeiffer, A, Pierini, M, Pitters, FM, Rabady, D, Racz, A, Reis, T, Rolandi, G, Rovere, M, Sakulin, H, Schafer, C, Schwick, C, Seidel, M, Selvaggi, M, Silva, P, Sphicas, P, Stakia, A, Steggemann, J, Stoye, M, Tosi, M, Treille, D, Tsirou, A, Veckalns, V, Verweij, M, Zeuner, WD, Bertl, W, Caminada, L, Deiters, K, Erdmann, W, Horisberger, R, Ingram, Q, Kaestli, HC, Kotlinski, D, Langenegger, U, Rohe, T, Wiederkehr, SA, Backhaus, M, Bani, L, Berger, P, Casal, B, Chernyavskaya, N, Dissertori, G, Dittmar, M, Donega, M, Dorfer, C, Grab, C, Heidegger, C, Hits, D, Hoss, J, Klijnsma, T, Lustermann, W, Marionneau, M, Meinhard, MT, Meister, D, Micheli, F, Musella, P, Nessi-Tedaldi, F, Pata, J, Pauss, F, Perrin, G, Perrozzi, L, Quittnat, M, Reichmann, M, Ruini, D, Becerra, DAS, Schonenberger, M, Shchutska, L, Tavolaro, VR, Theofilatos, K, Olsson, MLV, Wallny, R, Zhu, DH, Aarrestad, TK, Amsler, C, Brzhechko, D, Canelli, MF, De Cosa, A, Burgo, RD, Donato, S, Galloni, C, Hreus, T, Kilminster, B, Neutelings, I, Pinna, D, Rauco, G, Robmann, P, Salerno, D, Schweiger, K, Seitz, C, Takahashi, Y, Zucchetta, A, Chang, YH, Cheng, KY, Doan, TH, Khurana, R, Kuo, CM, Lin, W, Pozdnyakov, A, Yu, SS, Chang, P, Chao, Y, Chen, KF, Chen, PH, Fiori, F, Hou, WS, Hsiung, Y, Liu, YF, Lu, RS, Paganis, E, Psallidas, A, Steen, A, Tsai, JF, Asavapibhop, B, Kovitanggoon, K, Singh, G, Srimanobhas, N, Bat, A, Boran, F, Cerci, S, Damarseckin, S, Demiroglu, ZS, Dozen, C, Dumanoglu, I, Girgis, S, Gokbulut, G, Guler, Y, Hos, I, Kangal, EE, Kara, O, Topaksu, AK, Kiminsu, U, Oglakci, M, Onengut, G, Ozdemir, K, Cerci, DS, Tali, B, Tok, UG, Turkcapar, S, Zorbakir, IS, Zorbilmez, C, Karapinar, G, Ocalan, K, Yalvac, M, Zeyrek, M, Atakisi, IO, Gulmez, E, Kaya, M, Kaya, O, Tekten, S, Yetkin, EA, Agaras, MN, Atay, S, Cakir, A, Cankocak, K, Komurcu, Y, Grynyov, B, Levchuk, L, Ball, F, Beck, L, Brooke, JJ, Burns, D, Clement, E, Cussans, D, Davignon, O, Flacher, H, Goldstein, J, Heath, GP, Heath, HF, Kreczko, L, Newbold, DM, Paramesvaran, S, Sakuma, T, Nasr-storey, SSE, Smith, D, Smith, VJ, Bell, KW, Brew, C, Brown, RM, Cieri, D, Cockerill, DJA, Coughlan, JA, Harder, K, Harper, S, Linacre, J, Olaiya, E, Petyt, D, Shepherd-Themistocleous, CH, Thea, A, Tomalin, IR, Williams, T, Womersley, WJ, Auzinger, G, Bainbridge, R, Bloch, P, Borg, J, Breeze, S, Buchmuller, O, Bundock, A, Casasso, S, Colling, D, Corpe, L, Dauncey, P, Davies, G, Della Negra, M, Di Maria, R, Haddad, Y, Hall, G, Iles, G, James, T, Komm, M, Lane, R, Laner, C, Lyons, L, Magnan, AM, Malik, S, Mastrolorenzo, L, Matsushita, T, Nash, J, Nikitenko, A, Palladino, V, Pesaresi, M, Richards, A, Rose, A, Scott, E, Seez, C, Shtipliyski, A, Strebler, T, Summers, S, Tapper, A, Uchida, K, Acosta, MV, Virdee, T, Wardle, N, Winterbottom, D, Wright, J, Zenz, SC, Cole, JE, Hobson, PR, Khan, A, Kyberd, P, Morton, A, Reid, ID, Teodorescu, L, Zahid, S, Borzou, A, Call, K, Dittmann, J, Hatakeyama, K, Liu, H, Pastika, N, Smith, C, Bartek, R, Dominguez, A, Buccilli, A, Cooper, SI, Henderson, C, Rumerio, P, West, C, Arcaro, D, Avetisyan, A, Bose, T, Gastler, D, Rankin, D, Richardson, C, Rohlf, J, Sulak, L, Zou, D, Benelli, G, Cutts, D, Hadley, M, Hakala, J, Heintz, U, Hogan, JM, Kwok, KHM, Laird, E, Landsberg, G, Mao, Z, Narain, M, Pazzini, J, Piperov, S, Sagir, S, Syarif, R, Yu, D, Band, R, Brainerd, C, Breedon, R, Sanchez, MCD, Chertok, M, Conway, J, Conway, R, Cox, PT, Erbacher, R, Flores, C, Funk, G, Ko, W, Lander, R, Mclean, C, Mulhearn, M, Pellett, D, Pilot, J, Shalhout, S, Shi, M, Smith, J, Stolp, D, Taylor, D, Tos, K, Tripathi, M, Zhang, F, Bachtis, M, Bravo, C, Cousins, R, Dasgupta, A, Florent, A, Hauser, J, Ignatenko, M, Mccoll, N, Regnard, S, Saltzberg, D, Schnaible, C, Valuev, V, Bouvier, E, Burt, K, Clare, R, Ellison, J, Gary, JW, Shirazi, SMAG, Hanson, G, Karapostoli, G, Kennedy, E, Lacroix, F, Long, OR, Negrete, MO, Paneva, MI, Si, W, Wang, L, Wei, H, Wimpenny, S, Yates, BR, Branson, JG, Cittolin, S, Derdzinski, M, Gerosa, R, Gilbert, D, Hashemi, B, Holzner, A, Klein, D, Kole, G, Krutelyov, V, Letts, J, Masciovecchio, M, Olivito, D, Padhi, S, Pieri, M, Sani, M, Sharma, V, Simon, S, Tadel, M, Vartak, A, Wasserbaech, S, Wood, J, Wurthwein, F, Yagil, A, Della Porta, GZ, Amin, N, Bhandari, R, Bradmiller-Feld, J, Campagnari, C, Citron, M, Dishaw, A, Dutta, V, Sevilla, MF, Gouskos, L, Heller, R, Incandela, J, Ovcharova, A, Qu, H, Richman, J, Stuart, D, Suarez, I, Yoo, J, Anderson, D, Bornheim, A, Bunn, J, Lawhorn, JM, Newman, HB, Nguyen, TQ, Pena, C, Spiropulu, M, Vlimant, JR, Wilkinson, R, Xie, S, Zhang, Z, Zhu, RY, Andrews, MB, Ferguson, T, Mudholkar, T, Paulini, M, Russ, J, Sun, M, Vogel, H, Vorobiev, I, Weinberg, M, Cumalat, JP, Ford, WT, Jensen, F, Johnson, A, Krohn, M, Leontsinis, S, MacDonald, E, Mulholland, T, Stenson, K, Ulmer, KA, Wagner, SR, Alexander, J, Chaves, J, Cheng, Y, Chu, J, Datta, A, Mcdermott, K, Mirman, N, Patterson, JR, Quach, D, Rinkevicius, A, Ryd, A, Skinnari, L, Soffi, L, Tan, SM, Tao, Z, Thom, J, Tucker, J, Wittich, P, Zientek, M, Abdullin, S, Albrow, M, Alyari, M, Apollinari, G, Apresyan, A, Apyan, A, Bauerdick, LAT, Beretvas, A, Berryhill, J, Bhat, PC, Bolla, G, Burkett, K, Butler, JN, Canepa, A, Cerati, GB, Cheung, HWK, Chlebana, F, Cremonesi, M, Duarte, J, Elvira, VD, Freeman, J, Gecse, Z, Gottschalk, E, Gray, L, Green, D, Grunendahl, S, Gutsche, O, Hanlon, J, Harris, RM, Hasegawa, S, Hirschauer, J, Hu, Z, Jayatilaka, B, Jindariani, S, Johnson, M, Joshi, U, Klima, B, Kortelainen, MJ, Kreis, B, Lammel, S, Lincoln, D, Lipton, R, Liu, M, Liu, T, De Sa, RL, Lykken, J, Maeshima, K, Magini, N, Marraffino, JM, Mason, D, McBride, P, Merkel, P, Mrenna, S, Nahn, S, O'Dell, V, Pedro, K, Prokofyev, O, Rakness, G, Ristori, L, Savoy-Navarro, A, Schneider, B, Sexton-Kennedy, E, Soha, A, Spalding, WJ, Spiegel, L, Stoynev, S, Strait, J, Strobbe, N, Taylor, L, Tkaczyk, S, Tran, NV, Uplegger, L, Vaandering, EW, Vernieri, C, Verzocchi, M, Vidal, R, Wang, M, Weber, HA, Whitbeck, A, Wu, W, Acosta, D, Avery, P, Bortignon, P, Bourilkov, D, Brinkerhoff, A, Carnes, A, Carver, M, Curry, D, Field, RD, Furic, IK, Gleyzer, SV, Joshi, BM, Konigsberg, J, Korytov, A, Kotov, K, Ma, P, Matchev, K, Mei, H, Mitselmakher, G, Shi, K, Sperka, D, Terentyev, N, Thomas, L, Wang, J, Wang, S, Yelton, J, Joshi, YR, Linn, S, Markowitz, P, Rodriguez, JL, Ackert, A, Adams, T, Askew, A, Hagopian, S, Hagopian, V, Johnson, KF, Kolberg, T, Martinez, G, Perry, T, Prosper, H, Saha, A, Santra, A, Yohay, R, Baarmand, MM, Bhopatkar, V, Colafranceschi, S, Hohlmann, M, Noonan, D, Roy, T, Yumiceva, F, Adams, MR, Apanasevich, L, Berry, D, Betts, RR, Cavanaugh, R, Chen, X, Dittmer, S, Evdokimov, O, Gerber, CE, Hangal, DA, Hofman, DJ, Jung, K, Kamin, J, Gonzalez, IDS, Tonjes, MB, Varelas, N, Wang, H, Wu, Z, Zhang, J, Bilki, B, Clarida, W, Dilsiz, K, Durgut, S, Gandrajula, RP, Haytmyradov, M, Khristenko, V, Merlo, JP, Mermerkaya, H, Mestvirishvili, A, Moeller, A, Nachtman, J, Ogul, H, Onel, Y, Ozok, F, Penzo, A, Snyder, C, Tiras, E, Wetzel, J, Yi, K, Blumenfeld, B, Cocoros, A, Eminizer, N, Fehling, D, Feng, L, Gritsan, AV, Hung, WT, Maksimovic, P, Roskes, J, Sarica, U, Swartz, M, Xiao, M, You, C, Al-bataineh, A, Baringer, P, Bean, A, Benitez, JF, Boren, S, Bowen, J, Castle, J, Khalil, S, Kropivnitskaya, A, Majumder, D, Mcbrayer, W, Murray, M, Rogan, C, Royon, C, Sanders, S, Schmitz, E, Takaki, JDT, Wang, Q, Ivanov, A, Kaadze, K, Maravin, Y, Modak, A, Mohammadi, A, Saini, LK, Skhirtladze, N, Rebassoo, F, Wright, D, Baden, A, Baron, O, Belloni, A, Eno, SC, Feng, Y, Ferraioli, C, Hadley, NJ, Jabeen, S, Jeng, GY, Kellogg, RG, Kunkle, J, Mignerey, AC, Ricci-Tam, F, Shin, YH, Skuja, A, Tonwar, SC, Abercrombie, D, Allen, B, Azzolini, V, Barbieri, R, Baty, A, Bauer, G, Bi, R, Brandt, S, Busza, W, Cali, IA, D'Alfonso, M, Demiragli, Z, Ceballos, GG, Goncharov, M, Harris, P, Hsu, D, Hu, M, Iiyama, Y, Innocenti, GM, Klute, M, Kovalskyi, D, Lee, YJ, Levin, A, Luckey, PD, Maier, B, Marini, AC, Mcginn, C, Mironov, C, Narayanan, S, Niu, X, Paus, C, Roland, C, Roland, G, Stephans, GSF, Sumorok, K, Tatar, K, Velicanu, D, Wang, TW, Wyslouch, B, Zhaozhong, S, Benvenuti, AC, Chatterjee, RM, Evans, A, Hansen, P, Kalafut, S, Kubota, Y, Lesko, Z, Mans, J, Nourbakhsh, S, Ruckstuhl, N, Rusack, R, Turkewitz, J, Wadud, MA, Acosta, JG, Oliveros, S, Avdeeva, E, Bloom, K, Claes, DR, Fangmeier, C, Golf, F, Suarez, RG, Kamalieddin, R, Kravchenko, I, Monroy, J, Siado, JE, Snow, GR, Stieger, B, Godshalk, A, Harrington, C, Iashvili, I, Nguyen, D, Parker, A, Rappoccio, S, Roozbahani, B, Alverson, G, Barberis, E, Freer, C, Hortiangtham, A, Massironi, A, Morse, DM, Orimoto, T, De Lima, RT, Wamorkar, T, Wang, B, Wisecarver, A, Wood, D, Charaf, O, Hahn, KA, Mucia, N, Odell, N, Schmitt, MH, Sung, K, Trovato, M, Velasco, M, Bucci, R, Dev, N, Hildreth, M, Anampa, KH, Jessop, C, Karmgard, DJ, Kellams, N, Lannon, K, Li, W, Loukas, N, Marinelli, N, Meng, F, Mueller, C, Musienko, Y, Planer, M, Reinsvold, A, Ruchti, R, Siddireddy, P, Smith, G, Taroni, S, Wayne, M, Wightman, A, Wolf, M, Woodard, A, Alimena, J, Antonelli, L, Bylsma, B, Durkin, LS, Flowers, S, Francis, B, Hart, A, Hill, C, Ji, W, Ling, TY, Luo, W, Winer, BL, Wulsin, HW, Cooperstein, S, Driga, O, Elmer, P, Hardenbrook, J, Hebda, P, Higginbotham, S, Kalogeropoulos, A, Lange, D, Luo, J, Marlow, D, Mei, K, Ojalvo, I, Olsen, J, Palmer, C, Piroue, P, Salfeld-Nebgen, J, Stickland, D, Tully, C, Norberg, S, Barker, A, Barnes, VE, Das, S, Gutay, L, Jones, M, Jung, AW, Khatiwada, A, Miller, DH, Neumeister, N, Peng, CC, Qiu, H, Schulte, JF, Sun, J, Wang, F, Xiao, R, Xie, W, Cheng, T, Dolen, J, Parashar, N, Chen, Z, Ecklund, KM, Freed, S, Geurts, FJM, Guilbaud, M, Kilpatrick, M, Michlin, B, Padley, BP, Roberts, J, Rorie, J, Shi, W, Tu, Z, Zabel, J, Zhang, A, Bodek, A, de Barbaro, P, Demina, R, Duh, YT, Ferbel, T, Galanti, M, Garcia-Bellido, A, Han, J, Hindrichs, O, Khukhunaishvili, A, Lo, KH, Tan, P, Verzetti, M, Ciesielski, R, Goulianos, K, Mesropian, C, Agapitos, A, Chou, JP, Gershtein, Y, Espinosa, TAG, Halkiadakis, E, Heindl, M, Hughes, E, Kaplan, S, Elayavalli, RK, Kyriacou, S, Lath, A, Montalvo, R, Nash, K, Osherson, M, Saka, H, Salur, S, Schnetzer, S, Sheffield, D, Somalwar, S, Stone, R, Thomas, S, Thomassen, P, Walker, M, Delannoy, AG, Heideman, J, Riley, G, Rose, K, Spanier, S, Thapa, K, Bouhali, O, Hernandez, AC, Celik, A, Dalchenko, M, De Mattia, M, Delgado, A, Dildick, S, Eusebi, R, Gilmore, J, Huang, T, Kamon, T, Mueller, R, Pakhotin, Y, Patel, R, Perloff, A, Pernie, L, Rathjens, D, Safonov, A, Tatarinov, A, Akchurin, N, Damgov, J, De Guio, F, Dudero, PR, Faulkner, J, Gurpinar, E, Kunori, S, Lamichhane, K, Mengke, T, Muthumuni, S, Peltola, T, Undleeb, S, Volobouev, I, Greene, S, Gurrola, A, Janjam, R, Johns, W, Maguire, C, Melo, A, Ni, H, Padeken, K, Alvarez, JDR, Sheldon, P, Tuo, S, Velkovska, J, Xu, Q, Arenton, MW, Barria, P, Cox, B, Hirosky, R, Joyce, M, Ledovskoy, A, Li, H, Neu, C, Sinthuprasith, T, Wolfe, E, Xia, F, Harr, R, Karchin, PE, Poudyal, N, Sturdy, J, Thapa, P, Zaleski, S, Brodski, M, Buchanan, J, Caillol, C, Carlsmith, D, Dasu, S, Dodd, L, Duric, S, Gomber, B, Grothe, M, Herndon, M, Herve, A, Hussain, U, Klabbers, P, Lanaro, A, Levine, A, Long, K, Loveless, R, Rekovic, V, Ruggles, T, Savin, A, Smith, N, Smith, WH, and Woods, N
Subjects: perturbation theory [quantum chromodynamics], p p: scattering, Q007TP, CERN Lab, Physics and Astronomy (miscellaneous), showers [parton], top: mass: measured, 13000 GeV-cms, final state: ((n)jet lepton), 0 [higher-order], pair production [top], parton: showers, scattering [p p], ddc:530, quantum chromodynamics: perturbation theory, Engineering (miscellaneous), hadronic decay [W], W: hadronic decay, higher-order: 0, CMS, Physics, perturbation theory: higher-order, higher-order: 1, calibration, higher-order [perturbation theory], mass [W], CERN LHC Coll, kinematics, W: mass, semileptonic decay [top], mass: measured [top], Erratum, colliding beams [p p], top: pair production, p p: colliding beams, 1 [higher-order], top: semileptonic decay, ((n)jet lepton) [final state], experimental results
Abstract: The European physical journal / C 82(4), 323 (2022). doi:10.1140/epjc/s10052-022-10277-1, In this article the author name Luigi Calligaris was incorrectly written as A. Calligaris. The original article has been corrected., Published by Springer, Heidelberg
Published: 2022
Full Text: View/download PDF

45. A systematic review and meta-analysis on the association between orthostatic hypotension and mild cognitive impairment and dementia in Parkinson's disease.

Author: Loureiro, Débora, Bilbao, Rodrigo, Bordet, Sofía, Grasso, Lina, Otero-Losada, Matilde, Capani, Francisco, Ponzo, Osvaldo J., and Perez-Lloret, Santiago
Subjects: MILD cognitive impairment, ORTHOSTATIC hypotension, PARKINSON'S disease, DEMENTIA, COGNITION disorders
Abstract: Background: Cognitive impairment is a frequent disabling feature of Parkinson's disease (PD). Orthostatic hypotension (OH) is treatable and may be a risk factor for cognitive impairment. Objective: We conducted a systematic review and meta-analysis to examine the relationship between OH with PD-associated minimal cognitive impairment (PD-MCI) and dementia (PDD) and assess the mitigating effects of potential confounding factors. Methods: Observational studies published in English, Spanish, French, or Portuguese up to January 2022 were searched for in PubMed, EBSCO, and SciELO databases. The primary aim of this study was to revise the association between OH with PD-MCI and PDD. Alongside, we assessed OH as related to cognitive rating scales. Fixed and random models were fitted. Meta-regression was used to assess the mitigating effects of confounding variables. Results: We identified 18 studies that reported OH association with PDD or PD-MCI, 15 of them reporting OH association with cognitive rating scales. OH was significantly associated with PDD/PD-MCI (OR, 95% CI: 3.31, 2.16–5.08; k = 18, n = 2251; p < 0.01). OH association with PDD (4.64, 2.68–8.02; k = 13, n = 1194; p < 0.01) was stronger than with PD-MCI (1.82, 0.92–3.58; k = 5, n = 1056; p = NS). The association between OH and PD-MCI/PDD was stronger in studies with a higher proportion of women and in those with a lower frequency of supine hypertension. Global cognition rating scale scores were lower in patients with OH (SMD, 95% CI: − 0.55, − 0.83/ − 0.26; k = 12, n = 1427; p < 0.01). Conclusions: Orthostatic hypotension shows as a significant risk factor for cognitive impairment in PD, especially in women and patients not suffering from hypertension. [ABSTRACT FROM AUTHOR]
Published: 2023
Full Text: View/download PDF

46. Sustainable Bio-Based Materials from Minimally Processed Red Seaweeds: Effect of Composition and Cell Wall Structure.

Author: Cebrián-Lloret, Vera, Martínez-Abad, Antonio, López-Rubio, Amparo, and Martínez-Sanz, Marta
Subjects: RED algae, CELL anatomy, COMPRESSION molding, FOOD packaging, VAPOR barriers, GRACILARIA, AGAR
Abstract: This study reports on the use of whole seaweed biomass to obtain bio-based films for food packaging applications. Specifically, four different species of agarophytes (Gelidium corneum, Gracilaria chilensis, Gracilaria tenuistipitata and Gracilariopsis longissima) were minimally processed by melt blending and compression molding, and the effect of their composition and cell wall structure on the final performance of the films was investigated. The seaweed biomass was mainly composed of carbohydrates (35–50%), but significant amounts of proteins and ashes were also detected. Temperature-resolved SAXS experiments and microscopy analyses evidenced that a higher temperature of 130 ℃ is required to promote the release of agar from the tougher cell walls from G. corneum and G. tenuistipitata. The higher cellulose content of G. corneum (ca. 15%) resulted in films with higher mechanical resistance and water vapor barrier capacity, while the higher agar content of G. chilensis improved the elongation capacity of the films. The results from this work evidence the potential of red seaweed biomass to generate food packaging materials in a cost-effective and environmentally friendly way. [ABSTRACT FROM AUTHOR]
Published: 2023
Full Text: View/download PDF

47. LoRa-based Network for Water Quality Monitoring in Coastal Areas.

Author: Sendra, Sandra, Parra, Lorena, Jimenez, Jose M., Garcia, Laura, and Lloret, Jaime
Subjects: WATER quality monitoring, WIRELESS sensor nodes, WIRELESS sensor networks, SENSOR networks, CHEMICAL spills, WATER quality, AGRICULTURAL technology
Abstract: Agriculture Farming activity near to rivers and coastal areas sometimes imply spills of chemical and fertilizers products in aquifers and rivers. These spill highly affect the water quality in rivers' mouths and beaches close to those rivers. The presence of these elements can worse the quality for its normal use, even for its enjoying. When this polluted water reaches the sea can also have problematic consequences for fauna and flora. For this reason, it is important to rapidly detect where these spills are taking place and where the water does not have the minimum of quality to be used. In this article we propose the design and implementation of a LoRa (Long Range) based wireless sensor network for monitoring the quality of water in coastal areas, rivers and ditches with the aim to generate an observatory of water quality of the monitored areas. This network is composed by several wireless sensor nodes endowed with several sensors to physically measure parameters of water quality, such as turbidity, temperature, etc., and weather conditions such as temperature and relative humidity. The data collected by the sensors is sent to a gateway that forwards them to our storage database. The database is used to create an observatory that will permit the monitoring of the environment where the network is deployed. We test different devices to select the one that presents the best performance. Finally, the final solution is tested in a real environment for checking its correct operation. Two different tests will be carried out. The first test checks the correct operation of sensors and the network architecture while the second test show us the devices performance in terms of coverage. [ABSTRACT FROM AUTHOR]
Published: 2023
Full Text: View/download PDF

48. Monitoring the role of soil hydrologic conditions and rainfall for the triggering of torrential flows in the Rebaixader catchment (Central Pyrenees, Spain): Role of soil hydrologic conditions and rainfall for torrential flows in the Rebaixader catchment.

Author: Oorthuis, Raül, Hürlimann, Marcel, Vaunat, Jean, Moya, José, and Lloret, Antonio
Subjects: RAINFALL, SOIL moisture, WATERSHEDS, DEBRIS avalanches, SOILS
Abstract: Torrential flows (debris flows and debris floods) are mainly triggered by precipitation and soil hydrological processes. Most early warning systems in torrential catchments are rainfall-based. However, this approach can result in frequent false positives, due to its pure black-box nature, in which soil water conditions are neglected. We aim to contribute to the understanding of the conditions required for triggering torrential flows by considering also in situ measurements of soil water content. Herein, monitoring data of 12 years of rainfall and torrential flow occurrence (2009–2020) and 8 years of soil hydrologic conditions (2013–2020) in the Rebaixader catchment (Central Pyrenees, Spain) are analyzed. The dataset includes more than 1000 rainfall events and 37 torrential flows. First, rainfall thresholds using maximum rainfall intensity (Imax) and mean intensity (Imean) are defined. For the 2013–2020 dataset, which includes 15 torrential events, the Imean threshold predicted 2 false negatives and 73 false positives (positive predictive value, PPV, of 15.1%) and the best Imax threshold predicted also 2 false negatives but only 11 false positives (PPV of 54.2%). However, our observations confirmed quantitatively that the lower is the soil moisture the higher is the rainfall intensity to trigger torrential flows. Then, we combined Imax and volumetric water content at 15 and 30 cm depth to define a hydro-meteorological threshold. This latter threshold reduced false negatives to 1 and false positives to 8 and increased the PPV to 63.6%. These results confirm that soil hydrological conditions are key factors for torrential flow triggering and may improve early-warning predictions. [ABSTRACT FROM AUTHOR]
Published: 2023
Full Text: View/download PDF

49. IgG antibody response to pneumococcal-conjugated vaccine (Prevenar®13) in children with immunodeficiency disorders.

Author: Garrido-Jareño, Marta, Sahuquillo-Arce, José Miguel, Rodríguez-Vega, Héctor, Lloret-Sos, Carmen, Gil-Brusola, Ana, López-Hontangas, José Luis, Nuñez-Beltran, María, Tortosa-Carreres, Jordi, García-García, José Ángel, Cordón, Lourdes, Puchades-Carrasco, Leonor, de Santivañes, Carmen Carreras-Gil, Pineda-Lucena, Antonio, and Pemán-García, Javier
Subjects: ANTIBODY formation, IMMUNOGLOBULINS, VACCINE effectiveness, IMMUNOGLOBULIN G, IMMUNODEFICIENCY, BONE marrow transplantation
Abstract: Measurement of anti-pneumococcal capsular polysaccharides (anti-PnPs) IgG titers is an important tool in the immunologic assessment of patients with suspected immunodeficiency disorders (ID) to reduce the morbi-mortality and minimize severe infections. Retrospectively, we studied the relationship among anti-PnPs IgG response to 3 doses of Prevenar®13, levels of immune system components, leukocyte populations, and clinical data in children with ID. Serum samples were collected at least 4 weeks post vaccination. Subsequently, multi-serotype enzyme-linked immunosorbent assay (ELISA) was performed. Eighty-seven children (under 12 years) were enrolled. Primary immunodeficiency disorder (PID) was the most common disorder (45) followed by possible immunodeficiency disorder (POID) (19), secondary immunodeficiency disorder (SID) (15), and mixed immunodeficiency disorder (MID) (8). The median age was 3 (1.50–5.33) years, 65% of patients were male. Deficient production of anti-PnPs IgG (titer ≤ 50 mg/L) was detected in 47 patients (54%), especially in the MID group, all of them under immunosuppressive therapy. In PCV13 responders, the mean of leukocyte population levels was higher with statistically significance differences in CD4 + /CD8 + T lymphocytes (p = 0.372, p = 0.014) and CD56 + /CD16 + NK (p = 0.016). Patients with previous bone marrow transplantation were the worst PCV13 responders. Pneumococcal IgG antibody titers (post-vaccination) along with clinical and analytical markers represented. [ABSTRACT FROM AUTHOR]
Published: 2023
Full Text: View/download PDF

50. The tongue biofilm metatranscriptome identifies metabolic pathways associated with the presence or absence of halitosis.

Author: Carda-Diéguez, M., Rosier, B.T., Lloret, S., Llena, C., and Mira, A.
Published: 2022
Full Text: View/download PDF

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Region

Database

Publisher

617 results on '"Lloret A"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources