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3,195 results on '"MARTIN, G."'

1. Innovating for survival in a convergent newsroom environment

Author: Hamer, Martin G.
Subjects: 700
Abstract: The beginning of the twenty-first century can be viewed as a critical period for the UK's local and regional press. Many newspapers, faced with falling circulations and increasing competition due to the emergence of the internet, began converging their print and digital news operations in an attempt to halt the long-term decline by exploring new ways of growing their readership and attracting more income. This thesis examines the Published Outputs of a senior journalist who played a leading role in managing the transition to a convergent newsroom at the Lancashire Evening Post, a regional newspaper in Lancashire. The innovative content produced by the author, and the new editorial processes which he and fellow managers implemented, are critically analysed through the application of key insights from academic literature on media management and multimedia. It is argued that editorial innovation can help boost website traffic and increase audience engagement, while not necessarily damaging newspaper circulation figures; in fact, there is evidence to suggest they can even slow down the fall in sales. However, this research also demonstrates that these alone are unlikely to generate sufficient digital advertising revenue to help reverse the steep decline being experienced by the industry.
Published: 2019

2. NK2R control of energy expenditure and feeding to treat metabolic diseases

Author: Sass, Frederike, Ma, Tao, Ekberg, Jeppe H., Kirigiti, Melissa, Ureña, Mario G., Dollet, Lucile, Brown, Jenny M., Basse, Astrid L., Yacawych, Warren T., Burm, Hayley B., Andersen, Mette K., Nielsen, Thomas S., Tomlinson, Abigail J., Dmytiyeva, Oksana, Christensen, Dan P., Bader, Lindsay, Vo, Camilla T., Wang, Yaxu, Rausch, Dylan M., Kristensen, Cecilie K., Gestal-Mato, María, In het Panhuis, Wietse, Sjøberg, Kim A., Kernodle, Stace, Petersen, Jacob E., Pavlovskyi, Artem, Sandhu, Manbir, Moltke, Ida, Jørgensen, Marit E., Albrechtsen, Anders, Grarup, Niels, Babu, M. Madan, Rensen, Patrick C.N., Kooijman, Sander, Seeley, Randy J., Worthmann, Anna, Heeren, Joerg, Pers, Tune H., Hansen, Torben, Gustafsson, Magnus B.F., Tang-Christensen, Mads, Kilpeläinen, Tuomas O., Myers, Martin G., Kievit, Paul, Schwartz, Thue W., Hansen, Jakob B., Gerhart-Hines, Zachary, Sass, Frederike, Ma, Tao, Ekberg, Jeppe H., Kirigiti, Melissa, Ureña, Mario G., Dollet, Lucile, Brown, Jenny M., Basse, Astrid L., Yacawych, Warren T., Burm, Hayley B., Andersen, Mette K., Nielsen, Thomas S., Tomlinson, Abigail J., Dmytiyeva, Oksana, Christensen, Dan P., Bader, Lindsay, Vo, Camilla T., Wang, Yaxu, Rausch, Dylan M., Kristensen, Cecilie K., Gestal-Mato, María, In het Panhuis, Wietse, Sjøberg, Kim A., Kernodle, Stace, Petersen, Jacob E., Pavlovskyi, Artem, Sandhu, Manbir, Moltke, Ida, Jørgensen, Marit E., Albrechtsen, Anders, Grarup, Niels, Babu, M. Madan, Rensen, Patrick C.N., Kooijman, Sander, Seeley, Randy J., Worthmann, Anna, Heeren, Joerg, Pers, Tune H., Hansen, Torben, Gustafsson, Magnus B.F., Tang-Christensen, Mads, Kilpeläinen, Tuomas O., Myers, Martin G., Kievit, Paul, Schwartz, Thue W., Hansen, Jakob B., and Gerhart-Hines, Zachary
Abstract: The combination of decreasing food intake and increasing energy expenditure represents a powerful strategy for counteracting cardiometabolic diseases such as obesity and type 2 diabetes1. Yet current pharmacological approaches require conjugation of multiple receptor agonists to achieve both effects2–4, and so far, no safe energy-expending option has reached the clinic. Here we show that activation of neurokinin 2 receptor (NK2R) is sufficient to suppress appetite centrally and increase energy expenditure peripherally. We focused on NK2R after revealing its genetic links to obesity and glucose control. However, therapeutically exploiting NK2R signalling has previously been unattainable because its endogenous ligand, neurokinin A, is short-lived and lacks receptor specificity5,6. Therefore, we developed selective, long-acting NK2R agonists with potential for once-weekly administration in humans. In mice, these agonists elicit weight loss by inducing energy expenditure and non-aversive appetite suppression that circumvents canonical leptin signalling. Additionally, a hyperinsulinaemic–euglycaemic clamp reveals that NK2R agonism acutely enhances insulin sensitization. In diabetic, obese macaques, NK2R activation significantly decreases body weight, blood glucose, triglycerides and cholesterol, and ameliorates insulin resistance. These findings identify a single receptor target that leverages both energy-expending and appetite-suppressing programmes to improve energy homeostasis and reverse cardiometabolic dysfunction across species.
Published: 2024

3. Shortcut Learning in Medical Image Segmentation

Author: Linguraru, Marius George, Dou, Qi, Feragen, Aasa, Giannarou, Stamatia, Glocker, Ben, Lekadir, Karim, Schnabel, Julia A., Lin, Manxi, Weng, Nina, Mikolaj, Kamil, Bashir, Zahra, Svendsen, Morten B.S., Tolsgaard, Martin G., Christensen, Anders N., Linguraru, Marius George, Dou, Qi, Feragen, Aasa, Giannarou, Stamatia, Glocker, Ben, Lekadir, Karim, Schnabel, Julia A., Lin, Manxi, Weng, Nina, Mikolaj, Kamil, Bashir, Zahra, Svendsen, Morten B.S., Tolsgaard, Martin G., and Christensen, Anders N.
Abstract: Shortcut learning is a phenomenon where machine learning models prioritize learning simple, potentially misleading cues from data that do not generalize well beyond the training set. While existing research primarily investigates this in the realm of image classification, this study extends the exploration of shortcut learning into medical image segmentation. We demonstrate that clinical annotations such as calipers, and the combination of zero-padded convolutions and center-cropped training sets in the dataset can inadvertently serve as shortcuts, impacting segmentation accuracy. We identify and evaluate the shortcut learning on two different but common medical image segmentation tasks. In addition, we suggest strategies to mitigate the influence of shortcut learning and improve the generalizability of the segmentation models. By uncovering the presence and implications of shortcuts in medical image segmentation, we provide insights and methodologies for evaluating and overcoming this pervasive challenge and call for attention in the community for shortcuts in segmentation. Our code is public at https://github.com/nina-weng/shortcut_skinseg.
Published: 2024

4. Automated performance metrics and surgical gestures:two methods for assessment of technical skills in robotic surgery

Author: Olsen, Rikke Groth, Svendsen, Morten Bo Søndergaard, Tolsgaard, Martin G., Konge, Lars, Røder, Andreas, Bjerrum, Flemming, Olsen, Rikke Groth, Svendsen, Morten Bo Søndergaard, Tolsgaard, Martin G., Konge, Lars, Røder, Andreas, and Bjerrum, Flemming
Abstract: The objective of this study is to compare automated performance metrics (APM) and surgical gestures for technical skills assessment during simulated robot-assisted radical prostatectomy (RARP). Ten novices and six experienced RARP surgeons performed simulated RARPs on the RobotiX Mentor (Surgical Science, Sweden). Simulator APM were automatically recorded, and surgical videos were manually annotated with five types of surgical gestures. The consequences of the pass/fail levels, which were based on contrasting groups’ methods, were compared for APM and surgical gestures. Intra-class correlation coefficient (ICC) analysis and a Bland–Altman plot were used to explore the correlation between APM and surgical gestures. Pass/fail levels for both APM and surgical gesture could fully distinguish between the skill levels of the surgeons with a specificity and sensitivity of 100%. The overall ICC (one-way, random) was 0.70 (95% CI: 0.34–0.88), showing moderate agreement between the methods. The Bland–Altman plot showed a high agreement between the two methods for assessing experienced surgeons but disagreed on the novice surgeons’ skill level. APM and surgical gestures could both fully distinguish between novices and experienced surgeons in a simulated setting. Both methods of analyzing technical skills have their advantages and disadvantages and, as of now, those are only to a limited extent available in the clinical setting. The development of assessment methods in a simulated setting enables testing before implementing it in a clinical setting.
Published: 2024

5. Surgical gestures can be used to assess surgical competence in robot-assisted surgery:A validity investigating study of simulated RARP

Author: Olsen, Rikke Groth, Svendsen, Morten Bo Søndergaard, Tolsgaard, Martin G., Konge, Lars, Røder, Andreas, Bjerrum, Flemming, Olsen, Rikke Groth, Svendsen, Morten Bo Søndergaard, Tolsgaard, Martin G., Konge, Lars, Røder, Andreas, and Bjerrum, Flemming
Abstract: To collect validity evidence for the assessment of surgical competence through the classification of general surgical gestures for a simulated robot-assisted radical prostatectomy (RARP). We used 165 video recordings of novice and experienced RARP surgeons performing three parts of the RARP procedure on the RobotiX Mentor. We annotated the surgical tasks with different surgical gestures: dissection, hemostatic control, application of clips, needle handling, and suturing. The gestures were analyzed using idle time (periods with minimal instrument movements) and active time (whenever a surgical gesture was annotated). The distribution of surgical gestures was described using a one-dimensional heat map, snail tracks. All surgeons had a similar percentage of idle time but novices had longer phases of idle time (mean time: 21 vs. 15 s, p < 0.001). Novices used a higher total number of surgical gestures (number of phases: 45 vs. 35, p < 0.001) and each phase was longer compared with those of the experienced surgeons (mean time: 10 vs. 8 s, p < 0.001). There was a different pattern of gestures between novices and experienced surgeons as seen by a different distribution of the phases. General surgical gestures can be used to assess surgical competence in simulated RARP and can be displayed as a visual tool to show how performance is improving. The established pass/fail level may be used to ensure the competence of the residents before proceeding with supervised real-life surgery. The next step is to investigate if the developed tool can optimize automated feedback during simulator training.
Published: 2024

6. Galaxy merger challenge : A comparison study between machine learning-based detection methods

Author: Margalef-Bentabol, B., Wang, L., La Marca, A., Blanco-Prieto, C., Chudy, D., Domínguez-Sánchez, H., Goulding, A.D., Guzmán-Ortega, A., Huertas-Company, M., Martin, G., Pearson, W.J., Rodriguez-Gomez, V., Walmsley, M., Bickley, R.W., Bottrell, C., Conselice, C., O'Ryan, D., Margalef-Bentabol, B., Wang, L., La Marca, A., Blanco-Prieto, C., Chudy, D., Domínguez-Sánchez, H., Goulding, A.D., Guzmán-Ortega, A., Huertas-Company, M., Martin, G., Pearson, W.J., Rodriguez-Gomez, V., Walmsley, M., Bickley, R.W., Bottrell, C., Conselice, C., and O'Ryan, D.
Abstract: Aims. Various galaxy merger detection methods have been applied to diverse datasets. However, it is difficult to understand how they compare. Our aim is to benchmark the relative performance of merger detection methods based on machine learning (ML). Methods. We explore six leading ML methods using three main datasets. The first dataset consists of mock observations from the IllustrisTNG simulations, which acts as the training data and allows us to quantify the performance metrics of the detection methods. The second dataset consists of mock observations from the Horizon-AGN simulations, introduced to evaluate the performance of classifiers trained on different, but comparable data to those employed for training. The third dataset is composed of real observations from the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) survey. We also compare mergers and non-mergers detected by the different methods with a subset of HSC-SSP visually identified galaxies. Results. For the simplest binary classification task (i.e. mergers vs. non-mergers), all six methods perform reasonably well in the domain of the training data. At the lowest redshift explored 0.1 < z < 0.3, precision and recall generally range between ∼70% and 80%, both of which decrease with increasing z as expected (by ∼5% for precision and ∼10% for recall at the highest z explored 0.76 < z < 1.0). When transferred to a different domain, the precision of all classifiers is only slightly reduced, but the recall is significantly worse (by ∼20-40% depending on the method). Zoobot offers the best overall performance in terms of precision and F1 score. When applied to real HSC observations, different methods agree well with visual labels of clear mergers, but can differ by more than an order of magnitude in predicting the overall fraction of major mergers. For the more challenging multi-class classification task to distinguish between pre-mergers, ongoing-mergers, and post-mergers, none of the methods in their cur
Published: 2024

7. A review of global long-term changes in the mesosphere, thermosphere and ionosphere: a starting point for inclusion in (semi-)empirical models

Author: Cnossen, Ingrid, Emmert, John T., Garcia, Rolando R., Elias, Ana G., Mlynczak, Martin G., Zhang, Shun-Rong, Cnossen, Ingrid, Emmert, John T., Garcia, Rolando R., Elias, Ana G., Mlynczak, Martin G., and Zhang, Shun-Rong
Abstract: The climate of the upper atmosphere, including the mesosphere, thermosphere and ionosphere, is changing. As data records are much more limited than in the lower atmosphere and solar variability becomes increasingly dominant at higher altitudes, accurate trend detection and attribution is not straightforward. Nonetheless, observations reliably indicate that, on average, the mesosphere has been cooling, the density in the thermosphere has been decreasing, and ionospheric layers have been shifting down. These global mean changes can be largely attributed to the increase in CO2 concentration, which causes cooling and thermal contraction in the middle and upper atmosphere. The decline in thermosphere density is particularly relevant from a practical viewpoint, as this reduces atmospheric drag and thereby increases orbital lifetimes and the build-up of space debris. Long-term changes in the ionosphere can have further practical implications and are not only driven by the increase in CO2 concentration, but also by changes in the Earth’s magnetic field. The empirical models that are mostly used to inform applications in industry on the state of the upper atmosphere, as well as being widely used in science, do not yet properly account for long-term trends in the mesosphere, thermosphere and ionosphere. This is problematic when long-term future projections are needed or models rely strongly on older data. This review provides an overview of the main evidence of long-term trends observed in the mesosphere, thermosphere and ionosphere, together with the latest insights on what causes these trends. It is hoped that this may serve as a starting point to include long-term trends in (semi-) empirical models to benefit all users of these models. We also offer some thoughts on how this could be approached.
Published: 2024

8. The Importance of Copy Number Variant Analysis in Patients with Monogenic Kidney Disease

Author: Cancer, Genetica Oper.Mang. Clinical Genetics, Genetica Medische Informatica, Child Health, Genetica Sectie Genoomdiagnostiek, Genetica Klinische Genetica, Claus, Laura R., Ernst, Robert F., Elferink, Martin G., van Deutekom, Hanneke W.M., van der Zwaag, Bert, van Eerde, Albertien M., Cancer, Genetica Oper.Mang. Clinical Genetics, Genetica Medische Informatica, Child Health, Genetica Sectie Genoomdiagnostiek, Genetica Klinische Genetica, Claus, Laura R., Ernst, Robert F., Elferink, Martin G., van Deutekom, Hanneke W.M., van der Zwaag, Bert, and van Eerde, Albertien M.
Published: 2024

9. Expression quantitative trait locus mapping of extracellular microRNAs in human plasma

Author: Huan, Tianxiao, Joehanes, Roby, Rong, Jian, Chen, Ming Huei, Mustafa, Rima, Dehghan, Abbas, Ghanbari, Mohsen, Karlin, Hannah, Hwang, Shih Jen, Courchesne, Paul, Larson, Martin G., Johnson, Andrew D., Freedman, Jane E., Levy, Daniel, Huan, Tianxiao, Joehanes, Roby, Rong, Jian, Chen, Ming Huei, Mustafa, Rima, Dehghan, Abbas, Ghanbari, Mohsen, Karlin, Hannah, Hwang, Shih Jen, Courchesne, Paul, Larson, Martin G., Johnson, Andrew D., Freedman, Jane E., and Levy, Daniel
Abstract: MicroRNAs, crucial in regulating protein-coding gene expression, are implicated in various diseases. We performed a genome-wide association study of plasma miRNAs (ex-miRNAs) in 3,743 Framingham Heart Study (FHS) participants and identified 1,027 cis-ex-miRNA-eQTLs (cis-exQTLs) for 37 ex-miRNAs, with 55% replication in an independent study. Colocalization analyses suggested potential genetic coregulation of ex-miRNAs with whole blood mRNAs. Mendelian randomization indicated 29 ex-miRNAs potentially influencing 35 traits. Notably, the chromosome 14q23 and 14q32 miRNA clusters emerged as the top signal, contributing over 50% of the significant cis-exQTL results, and were associated with a diverse range of traits including platelet count. Correlations of 10 ex-miRNAs (such as miR-376c-3p) in 14q32 with platelet count and volume were confirmed in FHS participants. These findings shed light on the genetic basis of ex-miRNA expression and their involvement in complex traits.
Published: 2024

10. Lifestyle management of hypertension : International Society of Hypertension position paper endorsed by the World Hypertension League and European Society of Hypertension

Author: Charchar, Fadi J., Prestes, Priscilla R., Mills, Charlotte, Ching, Siew Mooi, Neupane, Dinesh, Marques, Francine Z., Sharman, James E., Vogt, Liffert, Burrell, Louise M., Korostovtseva, Lyudmila, Zec, Manja, Patil, Mansi, Schultz, Martin G., Wallen, Matthew P., Renna, Nicolás F, Islam, Sheikh Mohammed Shariful, Hiremath, Swapnil, Gyeltshen, Tshewang, Chia, Yook-Chin, Gupta, Abhinav, Schutte, Aletta E., Klein, Britt, Borghi, Claudio, Browning, Colette J., Czesnikiewicz-Guzik, Marta, Lee, Hae-Young, Itoh, Hiroshi, Miura, Katsuyuki, Brunström, Mattias, Campbell, Norm R. C., Akinnibossun, Olutope Arinola, Veerabhadrappa, Praveen, Wainford, Richard D., Kruger, Ruan, Thomas, Shane A., Komori, Takahiro, Ralapanawa, Udaya, Cornelissen, Véronique A., Kapil, Vikas, Li, Yan, Zhang, Yuqing, Jafar, Tazeen H., Khan, Nadia, Williams, Bryan, Stergiou, George, Tomaszewski, Maciej, Charchar, Fadi J., Prestes, Priscilla R., Mills, Charlotte, Ching, Siew Mooi, Neupane, Dinesh, Marques, Francine Z., Sharman, James E., Vogt, Liffert, Burrell, Louise M., Korostovtseva, Lyudmila, Zec, Manja, Patil, Mansi, Schultz, Martin G., Wallen, Matthew P., Renna, Nicolás F, Islam, Sheikh Mohammed Shariful, Hiremath, Swapnil, Gyeltshen, Tshewang, Chia, Yook-Chin, Gupta, Abhinav, Schutte, Aletta E., Klein, Britt, Borghi, Claudio, Browning, Colette J., Czesnikiewicz-Guzik, Marta, Lee, Hae-Young, Itoh, Hiroshi, Miura, Katsuyuki, Brunström, Mattias, Campbell, Norm R. C., Akinnibossun, Olutope Arinola, Veerabhadrappa, Praveen, Wainford, Richard D., Kruger, Ruan, Thomas, Shane A., Komori, Takahiro, Ralapanawa, Udaya, Cornelissen, Véronique A., Kapil, Vikas, Li, Yan, Zhang, Yuqing, Jafar, Tazeen H., Khan, Nadia, Williams, Bryan, Stergiou, George, and Tomaszewski, Maciej
Abstract: Hypertension, defined as persistently elevated systolic blood pressure (SBP) >140 mmHg and/or diastolic blood pressure (DBP) at least 90 mmHg (International Society of Hypertension guidelines), affects over 1.5 billion people worldwide. Hypertension is associated with increased risk of cardiovascular disease (CVD) events (e.g. coronary heart disease, heart failure and stroke) and death. An international panel of experts convened by the International Society of Hypertension College of Experts compiled lifestyle management recommendations as first-line strategy to prevent and control hypertension in adulthood. We also recommend that lifestyle changes be continued even when blood pressure-lowering medications are prescribed. Specific recommendations based on literature evidence are summarized with advice to start these measures early in life, including maintaining a healthy body weight, increased levels of different types of physical activity, healthy eating and drinking, avoidance and cessation of smoking and alcohol use, management of stress and sleep levels. We also discuss the relevance of specific approaches including consumption of sodium, potassium, sugar, fibre, coffee, tea, intermittent fasting as well as integrated strategies to implement these recommendations using, for example, behaviour change-related technologies and digital tools.
Published: 2024
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11. Porzine Glaskörperkultur als Modell der proliferativen Vitreoretinopathie

Author: Boneva, S, Jauch, J, Martius, N, Sushich, A, Prinz, G, Martin, G, Agostini, H, Lange, C, Schlunck, G, Boneva, S, Jauch, J, Martius, N, Sushich, A, Prinz, G, Martin, G, Agostini, H, Lange, C, and Schlunck, G
Published: 2024

12. Biological Sample Collection to Advance Research and Treatment: A Fight Osteosarcoma Through European Research and Euro Ewing Consortium Statement

Author: Onderzoek Beeld, Green, Darrell, van Ewijk, Roelof, Tirtei, Elisa, Andreou, Dimosthenis, Baecklund, Fredrik, Baumhoer, Daniel, Bielack, Stefan S., Botchu, Rajesh, Boye, Kjetil, Brennan, Bernadette, Capra, Michael, Cottone, Lucia, Dirksen, Uta, Fagioli, Franca, Fernandez, Natalia, Flanagan, Adrienne M., Gambarotti, Marco, Gaspar, Nathalie, Gelderblom, Hans, Gerrand, Craig, Gomez-Mascard, Anne, Hardes, Jendrik, Hecker-Nolting, Stefanie, Kabickova, Edita, Kager, Leo, Kanerva, Jukka, Kester, Lennart A., Kuijjer, Marieke L., Laurence, Valérie, Lervat, Cyril, Marchais, Antonin, Marec-Berard, Perrine, Mendes, Cristina, Merks, Johannes H.M., Ory, Benjamin, Palmerini, Emanuela, Pantziarka, Pan, Papakonstantinou, Evgenia, Piperno-Neumann, Sophie, Raciborska, Anna, Roundhill, Elizabeth A., Rutkauskaite, Vilma, Safwat, Akmal, Scotlandi, Katia, Staals, Eric L., Strauss, Sandra J., Surdez, Didier, Sys, Gwen M.L., Tabone, Marie Dominique, Toulmonde, Maud, Valverde, Claudia, van de Sande, Michiel A.J., Wörtler, Klaus, Campbell-Hewson, Quentin, McCabe, Martin G., Nathrath, Michaela, Onderzoek Beeld, Green, Darrell, van Ewijk, Roelof, Tirtei, Elisa, Andreou, Dimosthenis, Baecklund, Fredrik, Baumhoer, Daniel, Bielack, Stefan S., Botchu, Rajesh, Boye, Kjetil, Brennan, Bernadette, Capra, Michael, Cottone, Lucia, Dirksen, Uta, Fagioli, Franca, Fernandez, Natalia, Flanagan, Adrienne M., Gambarotti, Marco, Gaspar, Nathalie, Gelderblom, Hans, Gerrand, Craig, Gomez-Mascard, Anne, Hardes, Jendrik, Hecker-Nolting, Stefanie, Kabickova, Edita, Kager, Leo, Kanerva, Jukka, Kester, Lennart A., Kuijjer, Marieke L., Laurence, Valérie, Lervat, Cyril, Marchais, Antonin, Marec-Berard, Perrine, Mendes, Cristina, Merks, Johannes H.M., Ory, Benjamin, Palmerini, Emanuela, Pantziarka, Pan, Papakonstantinou, Evgenia, Piperno-Neumann, Sophie, Raciborska, Anna, Roundhill, Elizabeth A., Rutkauskaite, Vilma, Safwat, Akmal, Scotlandi, Katia, Staals, Eric L., Strauss, Sandra J., Surdez, Didier, Sys, Gwen M.L., Tabone, Marie Dominique, Toulmonde, Maud, Valverde, Claudia, van de Sande, Michiel A.J., Wörtler, Klaus, Campbell-Hewson, Quentin, McCabe, Martin G., and Nathrath, Michaela
Published: 2024

13. In situ short-term responses of Amazonian understory plants to elevated CO2

Author: Damasceno, Amanda Rayane, Garcia, Sabrina, Aleixo, Izabela Fonseca, Menezes, Juliane Cristina Gomes, Pereira, Iokanam Sales, De Kauwe, Martin G., Ferrer, Vanessa Rodrigues, Fleischer, Katrin, Grams, Thorsten E.E., Guedes, Alacimar V., Hartley, Iain Paul, Kruijt, Bart, Lugli, Laynara Figueiredo, Martins, Nathielly Pires, Norby, Richard J., Pires-Santos, Julyane Stephanie, Portela, Bruno Takeshi Tanaka, Rammig, Anja, de Oliveira, Leonardo Ramos, Santana, Flávia Delgado, Santos, Yago Rodrigues, de Souza, Crisvaldo Cássio Silva, Ushida, Gabriela, Lapola, David Montenegro, Quesada, Carlos Alberto Nobre, Domingues, Tomas Ferreira, Damasceno, Amanda Rayane, Garcia, Sabrina, Aleixo, Izabela Fonseca, Menezes, Juliane Cristina Gomes, Pereira, Iokanam Sales, De Kauwe, Martin G., Ferrer, Vanessa Rodrigues, Fleischer, Katrin, Grams, Thorsten E.E., Guedes, Alacimar V., Hartley, Iain Paul, Kruijt, Bart, Lugli, Laynara Figueiredo, Martins, Nathielly Pires, Norby, Richard J., Pires-Santos, Julyane Stephanie, Portela, Bruno Takeshi Tanaka, Rammig, Anja, de Oliveira, Leonardo Ramos, Santana, Flávia Delgado, Santos, Yago Rodrigues, de Souza, Crisvaldo Cássio Silva, Ushida, Gabriela, Lapola, David Montenegro, Quesada, Carlos Alberto Nobre, and Domingues, Tomas Ferreira
Abstract: The response of plants to increasing atmospheric CO2 depends on the ecological context where the plants are found. Several experiments with elevated CO2 (eCO2) have been done worldwide, but the Amazonian forest understory has been neglected. As the central Amazon is limited by light and phosphorus, understanding how understory responds to eCO2 is important for foreseeing how the forest will function in the future. In the understory of a natural forest in the Central Amazon, we installed four open-top chambers as control replicates and another four under eCO2 (+250 ppm above ambient levels). Under eCO2, we observed increases in carbon assimilation rate (67%), maximum electron transport rate (19%), quantum yield (56%), and water use efficiency (78%). We also detected an increase in leaf area (51%) and stem diameter increment (65%). Central Amazon understory responded positively to eCO2 by increasing their ability to capture and use light and the extra primary productivity was allocated to supporting more leaf and conducting tissues. The increment in leaf area while maintaining transpiration rates suggests that the understory will increase its contribution to evapotranspiration. Therefore, this forest might be less resistant in the future to extreme drought, as no reduction in transpiration rates were detected.
Published: 2024

14. Uptake of self-management education programmes for people with type 2 diabetes in primary care through the embedding package: a cluster randomised control trial and ethnographic study

Author: Davies, MJ, Bodicoat, DH, Brennan, A, Dixon, S, Eborall, H, Glab, A, Gray, LJ, Hadjiconstantinou, M, Huddlestone, L, Hudson, N, Keetharuth, A, Khunti, K, Martin, G, Northern, A, Pritchard, R, Schreder, S, Speight, J, Sturt, J, Turner, J, Davies, MJ, Bodicoat, DH, Brennan, A, Dixon, S, Eborall, H, Glab, A, Gray, LJ, Hadjiconstantinou, M, Huddlestone, L, Hudson, N, Keetharuth, A, Khunti, K, Martin, G, Northern, A, Pritchard, R, Schreder, S, Speight, J, Sturt, J, and Turner, J
Abstract: BACKGROUND: Self-management education programmes are cost-effective in helping people with type 2 diabetes manage their diabetes, but referral and attendance rates are low. This study reports on the effectiveness of the Embedding Package, a programme designed to increase type 2 diabetes self-management programme attendance in primary care. METHODS: Using a cluster randomised design, 66 practices were randomised to: (1) a wait-list group that provided usual care for nine months before receiving the Embedding Package for nine months, or (2) an immediate group that received the Embedding Package for 18 months. 'Embedders' supported practices and self-management programme providers to embed programme referral into routine practice, and an online 'toolkit' contained embedding support resources. Patient-level HbA1c (primary outcome), programme referral and attendance data, and clinical data from 92,977 patients with type 2 diabetes were collected at baseline (months - 3-0), step one (months 1-9), step 2 (months 10-18), and 12 months post-intervention. An integrated ethnographic study including observations, interviews, and document analysis was conducted using interpretive thematic analysis and Normalisation Process Theory. RESULTS: No significant difference was found in HbA1c between intervention and control conditions (adjusted mean difference [95% confidence interval]: -0.10 [-0.38, 0.18] mmol/mol; -0.01 [-0.03, 0.02] %). Statistically but not clinically significantly lower levels of HbA1c were found in people of ethnic minority groups compared with non-ethnic minority groups during the intervention condition (-0.64 [-1.08, -0.20] mmol/mol; -0.06% [-0.10, -0.02], p = 0.004), but not greater self-management programme attendance. Twelve months post-intervention data showed statistically but not clinically significantly lower HbA1c (-0.56 [95% confidence interval: -0.71, -0.42] mmol/mol; -0.05 [-0.06, -0.04] %; p < 0.001), and higher self-management programme attendance (
Published: 2024

15. AI supported fetal echocardiography with quality assessment

Author: Taksoee-Vester, Caroline A., Mikolaj, Kamil, Bashir, Zahra, Christensen, Anders N., Petersen, Olav B., Sundberg, Karin, Feragen, Aasa, Svendsen, Morten B. S., Nielsen, Mads, Tolsgaard, Martin G., Taksoee-Vester, Caroline A., Mikolaj, Kamil, Bashir, Zahra, Christensen, Anders N., Petersen, Olav B., Sundberg, Karin, Feragen, Aasa, Svendsen, Morten B. S., Nielsen, Mads, and Tolsgaard, Martin G.
Abstract: This study aimed to develop a deep learning model to assess the quality of fetal echocardiography and to perform prospective clinical validation. The model was trained on data from the 18-22-week anomaly scan conducted in seven hospitals from 2008 to 2018. Prospective validation involved 100 patients from two hospitals. A total of 5363 images from 2551 pregnancies were used for training and validation. The model's segmentation accuracy depended on image quality measured by a quality score (QS). It achieved an overall average accuracy of 0.91 (SD 0.09) across the test set, with images having above-average QS scoring 0.97 (SD 0.03). During prospective validation of 192 images, clinicians rated 44.8% (SD 9.8) of images as equal in quality, 18.69% (SD 5.7) favoring auto-captured images and 36.51% (SD 9.0) preferring manually captured ones. Images with above average QS showed better agreement on segmentations (p
Published: 2024

16. Protocol for the development of a Core Outcome Set (COS) for Adolescents and Young Adults (AYAs) with cancer

Author: Husson, Olga, Janssen, Silvie H.M., Reeve, Bryce B., Sodergren, Samantha C., Cheung, Christabel K., McCabe, Martin G., Salsman, John M., van der Graaf, Winette T.A., Darlington, Anne Sophie, Husson, Olga, Janssen, Silvie H.M., Reeve, Bryce B., Sodergren, Samantha C., Cheung, Christabel K., McCabe, Martin G., Salsman, John M., van der Graaf, Winette T.A., and Darlington, Anne Sophie
Abstract: Background: Adolescents and young adults (AYAs) with cancer, defined as individuals aged 15–39 years at initial cancer diagnosis, form a unique population; they face age-specific issues as they transition to adulthood. This paper presents the protocol for the development of a core outcome set (COS) for AYAs with cancer. Methods: The methodological standards from the Core Outcome Measures in Effectiveness Trials (COMET) and the International Consortium for Health Outcomes Measurement (ICHOM) for COS development will guide the development of the COS for AYAs with cancer. The project will consist of the following phases: (1) define the scope of the COS; (2) establish the need for a COS in this field (3) assemble an international, multi-stakeholder working group; (4) develop a detailed protocol; (5) determine “what to measure” (i.e., outcomes); (6) determine “how to measure” (i.e., measures); and (7) determine “case-mix” variables. Conclusions: The development of a COS for AYAs with cancer will facilitate the implementation of efficient and relevant standards for data collection, both for clinical trials and in routine healthcare, thereby increasing the usefulness of these data to improve the value of the care given to these underserved young cancer patients.
Published: 2024

17. Evaluation of 30 urban land surface models in the Urban-PLUMBER project : Phase 1 results

Author: Lipson, Mathew J., Grimmond, Sue, Best, Martin, Abramowitz, Gab, Coutts, Andrew, Tapper, Nigel, Baik, Jong Jin, Beyers, Meiring, Blunn, Lewis, Boussetta, Souhail, Bou-Zeid, Elie, De Kauwe, Martin G., de Munck, Cécile, Demuzere, Matthias, Fatichi, Simone, Fortuniak, Krzysztof, Han, Beom Soon, Hendry, Margaret A., Kikegawa, Yukihiro, Kondo, Hiroaki, Lee, Doo Il, Lee, Sang Hyun, Lemonsu, Aude, Machado, Tiago, Manoli, Gabriele, Martilli, Alberto, Masson, Valéry, McNorton, Joe, Meili, Naika, Meyer, David, Nice, Kerry A., Oleson, Keith W., Park, Seung Bu, Roth, Michael, Schoetter, Robert, Simón-Moral, Andrés, Steeneveld, Gert Jan, Sun, Ting, Takane, Yuya, Thatcher, Marcus, Tsiringakis, Aristofanis, Varentsov, Mikhail, Wang, Chenghao, Wang, Zhi Hua, Pitman, Andy J., Lipson, Mathew J., Grimmond, Sue, Best, Martin, Abramowitz, Gab, Coutts, Andrew, Tapper, Nigel, Baik, Jong Jin, Beyers, Meiring, Blunn, Lewis, Boussetta, Souhail, Bou-Zeid, Elie, De Kauwe, Martin G., de Munck, Cécile, Demuzere, Matthias, Fatichi, Simone, Fortuniak, Krzysztof, Han, Beom Soon, Hendry, Margaret A., Kikegawa, Yukihiro, Kondo, Hiroaki, Lee, Doo Il, Lee, Sang Hyun, Lemonsu, Aude, Machado, Tiago, Manoli, Gabriele, Martilli, Alberto, Masson, Valéry, McNorton, Joe, Meili, Naika, Meyer, David, Nice, Kerry A., Oleson, Keith W., Park, Seung Bu, Roth, Michael, Schoetter, Robert, Simón-Moral, Andrés, Steeneveld, Gert Jan, Sun, Ting, Takane, Yuya, Thatcher, Marcus, Tsiringakis, Aristofanis, Varentsov, Mikhail, Wang, Chenghao, Wang, Zhi Hua, and Pitman, Andy J.
Abstract: Accurately predicting weather and climate in cities is critical for safeguarding human health and strengthening urban resilience. Multimodel evaluations can lead to model improvements; however, there have been no major intercomparisons of urban-focussed land surface models in over a decade. Here, in Phase 1 of the Urban-PLUMBER project, we evaluate the ability of 30 land surface models to simulate surface energy fluxes critical to atmospheric meteorological and air quality simulations. We establish minimum and upper performance expectations for participating models using simple information-limited models as benchmarks. Compared with the last major model intercomparison at the same site, we find broad improvement in the current cohort's predictions of short-wave radiation, sensible and latent heat fluxes, but little or no improvement in long-wave radiation and momentum fluxes. Models with a simple urban representation (e.g., ‘slab’ schemes) generally perform well, particularly when combined with sophisticated hydrological/vegetation models. Some mid-complexity models (e.g., ‘canyon’ schemes) also perform well, indicating efforts to integrate vegetation and hydrology processes have paid dividends. The most complex models that resolve three-dimensional interactions between buildings in general did not perform as well as other categories. However, these models also tended to have the simplest representations of hydrology and vegetation. Models without any urban representation (i.e., vegetation-only land surface models) performed poorly for latent heat fluxes, and reasonably for other energy fluxes at this suburban site. Our analysis identified widespread human errors in initial submissions that substantially affected model performances. Although significant efforts are applied to correct these errors, we conclude that human factors are likely to influence results in this (or any) model intercomparison, particularly where participating scientists have varying experience
Published: 2024

18. Cross-game learning and cognitive ability in auctions

Author: Giebe, Thomas, Ivanova-Stenzel, Radosveta, Kocher, Martin G., Schudy, Simeon, Giebe, Thomas, Ivanova-Stenzel, Radosveta, Kocher, Martin G., and Schudy, Simeon
Abstract: Overbidding in sealed-bid second-price auctions (SPAs) has been shown to be persistent and associated with cognitive ability. We study experimentally to what extent cross-game learning can reduce overbidding in SPAs, taking into account cognitive skills. Employing an order-balanced design, we use first-price auctions (FPAs) to expose participants to an auction format in which losses from high bids are more salient than in SPAs. Experience in FPAs causes substantial cross-game learning for cognitively less able participants but does not affect overbidding for the cognitively more able. Vice versa, experiencing SPAs before bidding in an FPA does not substantially affect bidding behavior by the cognitively less able but, somewhat surprisingly, reduces bid shading by cognitively more able participants, resulting in lower profits in FPAs. Thus, ‘cross-game learning’ may rather be understood as ‘cross-game transfer’, as it has the potential to benefit bidders with lower cognitive ability whereas it has little or even adverse effects for higher-ability bidders.
Published: 2024
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19. Stacking-configuration-preserved graphene quantum dots electrochemically obtained from CVD graphene

Author: Universidad Nacional de La Plata, Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina), European Commission, Universidad de Zaragoza, Barrionuevo, Santiago D., Fioravanti, Federico, Nuñez, Jorge M., Muñeton Arboleda, David, Lacconi, Gabriela I., Bellino, Martin G., Aguirre, Myriam H., Ibañez, Francisco J., Universidad Nacional de La Plata, Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina), European Commission, Universidad de Zaragoza, Barrionuevo, Santiago D., Fioravanti, Federico, Nuñez, Jorge M., Muñeton Arboleda, David, Lacconi, Gabriela I., Bellino, Martin G., Aguirre, Myriam H., and Ibañez, Francisco J.
Abstract: The layer stacking morphology in nanocarbons is paramount for achieving new properties and outperforming applications. Here, we demonstrate that graphene quantum dots (GQDs) retain crystallinity and a stacking structure from CVD graphene grown on Ni foam. Our results reveal that GQD subdomains comprise a few-layer graphene structure in the AB···AB and ABC···ABC stacking configuration. HR-TEM images along with a multiple-approach characterization (XRD, XPS, UV–vis, AFM, and ATR-IR) exhibit ∼3.0 to ∼8.0 nm crystalline GQDs with 2–6 graphene layers thick indicating a disk-shape structure. The UV–vis profiles show changes in color of the dispersion (from colorless to red) during and after the electrochemistry, suggesting a systematic electrooxidation of graphene into smaller, highly crystalline, and more complex sp2/sp3 structures. Importantly, a control experiment performed under the same conditions but with a graphitic rod exhibited large, polydisperse, and multilayer carbon structures. This work demonstrates a relatively easy electrochemical synthesis to obtain GQDs which retain the pristine and, in turn, distinctive structure of graphene grown on Ni foam.
Published: 2024

20. Movements and spatial distribution of an endangered fish (Sciaena umbra) within a marine protected area

Author: Université de Perpignan Via Domitia, Aspillaga, Eneko [0000-0002-8888-8731], Marques, R., Brazo, A., Aspillaga, Eneko, Zimmermann, Martin G., Hereu, Bernat, Saragoni, Gilles, Mercière, A., Crec’Hriou, Romain, Mercader, M., Verdoit-Jarraya, M., Cadène, F., Lenfant, Philippe, Université de Perpignan Via Domitia, Aspillaga, Eneko [0000-0002-8888-8731], Marques, R., Brazo, A., Aspillaga, Eneko, Zimmermann, Martin G., Hereu, Bernat, Saragoni, Gilles, Mercière, A., Crec’Hriou, Romain, Mercader, M., Verdoit-Jarraya, M., Cadène, F., and Lenfant, Philippe
Abstract: The brown meagre (Sciaena umbra) is an endangered species, which requires specific protection measures to ensure its conservation. These measures need to be informed by high-quality scientific knowledge on their space use patterns. Here, we used acoustic telemetry to assess its seasonal movement patterns and habitat use within a marine protected area (MPA). Our results suggested that S. umbra is a highly sedentary species (home range < 1.0 km2) and, therefore, the MPA is extensive enough to protect the local population. Their population was discretely distributed in two main areas within the MPA, which was likely a result of habitat segregation and density-dependent movements. The temporal variability of their movements further uncovered when and where spawning occurs (mainly, but probably not only, in the fully protected area in June) and indicated that spillover of this species is limited but still possible. Overall, we highlight the importance of MPAs in the recovery of S. umbra, we advocate the need to perpetuate the current national fishing bans and extend it to other countries in the Mediterranean region, and we emphasize that considering the fine-scale movements of S. umbra in future management actions is key to achieving a successful recovery of their populations.
Published: 2024

21. Supporting Information: Stacking-configuration-preserved graphene quantum dots electrochemically obtained from CVD graphene

Author: Barrionuevo, Santiago D., Fioravanti, Federico, Nuñez, Jorge M., Muñeton Arboleda, David, Lacconi, Gabriela I., Bellino, Martin G., Aguirre, Myriam H., Ibañez, Francisco J., Barrionuevo, Santiago D., Fioravanti, Federico, Nuñez, Jorge M., Muñeton Arboleda, David, Lacconi, Gabriela I., Bellino, Martin G., Aguirre, Myriam H., and Ibañez, Francisco J.
Published: 2024

22. Late-end reionization with ATON-HE: towards constraints from Lyman-$\alpha$ emitters observed with JWST

Author: Asthana, Shikhar, Haehnelt, Martin G., Kulkarni, Girish, Aubert, Dominique, Bolton, James S., Keating, Laura C., Asthana, Shikhar, Haehnelt, Martin G., Kulkarni, Girish, Aubert, Dominique, Bolton, James S., and Keating, Laura C.
Abstract: We present a new suite of late-end reionization simulations performed with ATON-HE, a revised version of the GPU-based radiative transfer code ATON that includes helium. The simulations are able to reproduce the Ly$\alpha$ flux distribution of the E-XQR-30 sample of QSO absorption spectra at $5 \lesssim z \lesssim 6.2$, and show that a large variety of reionization models are consistent with these data. We explore a range of variations in source models and in the early-stage evolution of reionization. Our fiducial reionization history has a midpoint of reionization at $z = 6.5$, but we also explore an `Early' reionization history with a midpoint at $z = 7.5$ and an `Extremely Early' reionization history with a midpoint at $z = 9.5$. Haloes massive enough to host observed Ly$\alpha$ emitters are highly biased. The fraction of such haloes embedded in ionized bubbles that are large enough to allow high Ly$\alpha$ transmission becomes close to unity much before the volume filling factor of ionized regions. For our fiducial reionization history this happens at $z = 8$, probably too late to be consistent with the detection by JWST of abundant Ly$\alpha$ emission out to $z = 11$. A reionization history in our `Early' model or perhaps even our `Extremely Early' model may be required, suggesting a Thomson scattering optical depth in tension with that reported by Planck, but consistent with recent suggestions of a significantly higher value., Comment: 25 pages, 15 figures
Published: 2024

23. E-XQR-30: The evolution of MgII, CII and OI across 2<z<6

Author: Sebastian, Alma Maria, Ryan-Weber, Emma, Davies, Rebecca L., Becker, George D., Keating, Laura C., D'Odorico, Valentina, Meyer, Romain A., Bosman, Sarah E. I., Cupani, Guido, Kulkarni, Girish, Haehnelt, Martin G., Lai, Samuel, Eilers, Anna-Christina, Bischetti, Manuela, Gallerani, Simona, Sebastian, Alma Maria, Ryan-Weber, Emma, Davies, Rebecca L., Becker, George D., Keating, Laura C., D'Odorico, Valentina, Meyer, Romain A., Bosman, Sarah E. I., Cupani, Guido, Kulkarni, Girish, Haehnelt, Martin G., Lai, Samuel, Eilers, Anna-Christina, Bischetti, Manuela, and Gallerani, Simona
Abstract: Intervening metal absorbers in quasar spectra at $z > 6$ can be used as probes to study the chemical enrichment of the Universe during the Epoch of Reionization (EoR). This work presents the comoving line densities ($dn/dX$) of low ionisation absorbers, namely, Mg II (2796\r{A}), C II (1334\r{A}) and O I (1302\r{A}) across $2 0.03$\r{A}. For the first time, we present the comoving line densities of 131 weak ($W < 0.3$\r{A}) intervening Mg II absorbers at $1.9 < z < 6.4$ which exhibit constant evolution with redshift similar to medium ($0.3 < W < 1.0$\r{A}) absorbers. However, the cosmic mass density of Mg II - dominated by strong Mg II systems - traces the evolution of global star formation history from redshift 1.9 to 5.5. E-XQR-30 also increases the absorption path length by a factor of 50% for C II and O I whose line densities show a rising trend towards $z > 5$, in agreement with previous works. In the context of a decline in metal enrichment of the Universe at $z > 5$, the overall evolution in the incidence rates of absorption systems can be explained by a weak - possibly soft fluctuating - UV background. Our results, thereby, provide evidence for a late reionization continuing to occur in metal-enriched and therefore, biased regions in the Universe., Comment: 20 pages, 21 figures
Published: 2024

24. Probing AGN jet precession with LISA

Author: Steinle, Nathan, Gerosa, Davide, Krause, Martin G. H., Steinle, Nathan, Gerosa, Davide, and Krause, Martin G. H.
Abstract: The precession of astrophysical jets produced by active-galactic nuclei is likely related to the dynamics of the accretion disks surrounding the central supermassive black holes (BHs) from which jets are launched. The two main mechanisms that can drive jet precession arise from Lense-Thirring precession and tidal torquing. These can explain direct and indirect observations of precessing jets; however, such explanations often utilize crude approximations of the disk evolution and observing jet precession can be challenging with electromagnetic facilities. Simultaneously, the Laser Interferometer Space Antenna (LISA) is expected to measure gravitational waves from the mergers of massive binary BHs with high accuracy and probe their progenitor evolution. In this paper, we connect the LISA detectability of binary BH mergers to the possible jet precession during their progenitor evolution. We make use of a semi-analytic model that self-consistently treats disk-driven BH alignment and binary inspiral and includes the possibility of disk breaking. We find that tidal torquing of the accretion disk provides a wide range of jet precession timescales depending on the binary separation and the spin direction of the BH from which the jet is launched. Efficient disk-driven BH alignment results in shorter timescales of $\sim 1$ yr which are correlated with higher LISA signal-to-noise ratios. Disk breaking results in the longest possible times of $\sim 10^7$ yrs, suggesting a deep interplay between the disk critical obliquity (i.e. where the disk breaks) and jet precession. Studies such as ours will help to reveal the cosmic population of precessing jets that are detectable with gravitational waves.
Published: 2024

25. Searching for X-ray counterparts of unassociated Fermi-LAT sources and rotation-powered pulsars with SRG/eROSITA

Author: Mayer, Martin G. F., Becker, Werner, Mayer, Martin G. F., and Becker, Werner
Abstract: The latest source catalog of the Fermi-LAT telescope contains more than 7000 $\gamma$-ray sources at GeV energies, with the two dominant source classes thought to be blazars and rotation-powered pulsars. Our target is the identification of possible (young and recycled) pulsar candidates in the sample of 2600 unassociated $\gamma$-ray sources, via their characteristic X-ray and $\gamma$-ray emission. To achieve this, we cross-match the Fermi-LAT catalog with the catalog of X-ray sources in the western Galactic hemisphere from the first four all-sky surveys of SRG/eROSITA. We complement this by identifying X-ray counterparts of known pulsars detected at $\gamma$-ray and radio energies in the eROSITA data. We use a Bayesian cross-matching scheme to construct a probabilistic catalog of possible pulsar-type X-ray counterparts to Fermi-LAT sources. Our method combines the overlap of X-ray and $\gamma$-ray source positions with a probabilistic classification (into pulsar and blazar candidates) of each source based on its $\gamma$-ray properties and a prediction on the X-ray flux of pulsar- or blazar-type counterparts. We provide a catalog of our prior $\gamma$-ray-based classifications of all 2600 unassociated sources in the Fermi-LAT catalog, with around equal numbers of pulsar and blazar candidates. Our final list of candidate X-ray pulsar counterparts, cleaned for spurious detections and sources with obvious non-pulsar counterparts, contains around 900 X-ray sources. We predict between 30 and 40 new pulsars among our top 200 candidates, with around equal expected numbers of young and recycled pulsars. This candidate list may serve as input to future follow-up campaigns, looking directly for pulsations or for the orbital modulation of possible binary companions. We furthermore detect the X-ray counterparts of 15 known rotation-powered pulsars, which were not seen in X-rays before., Comment: 16+5 pages, 11+3 figures, 4+4 tables; Abstract abridged; Accepted for publication in A&A; Part of the SRG/eROSITA DR1 paper splash
Published: 2024

26. Chronicling the reionization history at $6\lesssim z \lesssim 7$ with emergent quasar damping wings

Author: Ďurovčíková, Dominika, Eilers, Anna-Christina, Chen, Huanqing, Satyavolu, Sindhu, Kulkarni, Girish, Simcoe, Robert A., Keating, Laura C., Haehnelt, Martin G., Bañados, Eduardo, Ďurovčíková, Dominika, Eilers, Anna-Christina, Chen, Huanqing, Satyavolu, Sindhu, Kulkarni, Girish, Simcoe, Robert A., Keating, Laura C., Haehnelt, Martin G., and Bañados, Eduardo
Abstract: The spectra of high-redshift ($z\gtrsim 6$) quasars contain valuable information on the progression of the Epoch of Reionization (EoR). At redshifts $z<6$, the observed Lyman-series forest shows that the intergalactic medium (IGM) is nearly ionized, while at $z>7$ the observed quasar damping wings indicate high neutral gas fractions. However, there remains a gap in neutral gas fraction constraints at $6\lesssim z \lesssim 7$ where the Lyman series forest becomes saturated but damping wings have yet to fully emerge. In this work, we use a sample of 18 quasar spectra at redshifts $6.0
Published: 2024

27. Ly$\alpha$ emission as a sensitive probe of feedback-regulated LyC escape from dwarf galaxies

Author: Yuan, Yuxuan, Martin-Alvarez, Sergio, Haehnelt, Martin G., Garel, Thibault, Sijacki, Debora, Yuan, Yuxuan, Martin-Alvarez, Sergio, Haehnelt, Martin G., Garel, Thibault, and Sijacki, Debora
Abstract: Ly$\alpha$ emission is an exceptionally informative tracer of the life cycle of evolving galaxies and the escape of ionising photons. However, theoretical studies of Ly$\alpha$ emission are often limited by insufficient numerical resolution, incomplete sets of physical models, and poor line-of-sight (LOS) statistics. To overcome such limitations, we utilize here the novel PANDORA suite of high-resolution dwarf galaxy simulations that include a comprehensive set of state-of-the-art physical models for ionizing radiation, magnetic fields, supernova feedback and cosmic rays. We post-process the simulations with the radiative transfer code \textsc{RASCAS} to generate synthetic observations and compare to observed properties of Ly$\alpha$ emitters. Our simulated Ly$\alpha$ haloes are more extended than the spatial region from which the intrinsic emission emanates and our spatially resolved maps of spectral parameters of the Ly$\alpha$ emission are very sensitive to the underlying spatial distribution and kinematics of neutral hydrogen. Ly$\alpha$ and LyC emission display strongly varying signatures along different LOS depending on how each LOS intersects low-density channels generated by stellar feedback. Comparing galaxies simulated with different physics, we find the Ly$\alpha$ signatures to exhibit systematic offsets determined by the different levels of feedback strength and the clumpiness of the neutral gas. Despite this variance, and regardless of the different physics included in each model, we find universal correlations between Ly$\alpha$ observables and LyC escape fraction, demonstrating a robust connection between Ly$\alpha$ and LyC emission. Ly$\alpha$ observations from a large sample of dwarf galaxies should thus give strong constraints on their stellar feedback-regulated LyC escape and confirm their important role for the reionization of the Universe.
Published: 2024

28. The role of cellular senescence in profibrillatory atrial remodelling associated with cardiac pathology

Author: Mehdizadeh, Mozhdeh, Naud, Patrice, Abu-Taha, Issam H., Hiram, Roddy, Xiong, Feng, Xiao, Jiening, Saljic, Arnela, Kamler, Markus, Vuong-Robillard, Nhung, Thorin, Eric, Ferbeyre, Gerardo, Tardif, Jean Claude, Sirois, Martin G., Tanguay, Jean Francois, Dobrev, Dobromir, Nattel, Stanley, Mehdizadeh, Mozhdeh, Naud, Patrice, Abu-Taha, Issam H., Hiram, Roddy, Xiong, Feng, Xiao, Jiening, Saljic, Arnela, Kamler, Markus, Vuong-Robillard, Nhung, Thorin, Eric, Ferbeyre, Gerardo, Tardif, Jean Claude, Sirois, Martin G., Tanguay, Jean Francois, Dobrev, Dobromir, and Nattel, Stanley
Abstract: AIMS: Cellular senescence is a stress-related or aging response believed to contribute to many cardiac conditions; however, its role in atrial fibrillation (AF) is unknown. Age is the single most important determinant of the risk of AF. The present study was designed to (i) evaluate AF susceptibility and senescence marker expression in rat models of aging and myocardial infarction (MI), (ii) study the effect of reducing senescent-cell burden with senolytic therapy on the atrial substrate in MI rats, and (iii) assess senescence markers in human atrial tissue as a function of age and the presence of AF. METHODS AND RESULTS: AF susceptibility was studied with programmed electrical stimulation. Gene and protein expression was evaluated by immunoblot or immunofluorescence (protein) and digital polymerase chain reaction (PCR) or reverse transcriptase quantitative PCR (messenger RNA). A previously validated senolytic combination, dasatinib and quercetin, (D+Q; or corresponding vehicle) was administered from the time of sham or MI surgery through 28 days later. Experiments were performed blinded to treatment assignment. Burst pacing-induced AF was seen in 100% of aged (18-month old) rats, 87.5% of young MI rats, and 10% of young control (3-month old) rats (P ≤ 0.001 vs. each). Conduction velocity was slower in aged [both left atrium (LA) and right atrium (RA)] and young MI (LA) rats vs. young control rats (P ≤ 0.001 vs. each). Atrial fibrosis was greater in aged (LA and RA) and young MI (LA) vs. young control rats (P < 0.05 for each). Senolytic therapy reduced AF inducibility in MI rats (from 8/9 rats, 89% in MI vehicle, to 0/9 rats, 0% in MI D + Q, P < 0.001) and attenuated LA fibrosis. Double staining suggested that D + Q acts by clearing senescent myofibroblasts and endothelial cells. In human atria, senescence markers were upregulated in older (≥70 years) and long-standing AF patients vs. individuals ≤60 and sinus rhythm controls, respectively. CONCLUSION: Our
Published: 2024

29. An inflammation resolution–promoting intervention prevents atrial fibrillation caused by left ventricular dysfunction

Author: Hiram, Roddy, Xiong, Feng, Naud, Patrice, Xiao, Jiening, Sosnowski, Deanna K., Le Quilliec, Ewen, Saljic, Arnela, Abu-Taha, Issam H., Kamler, Markus, LeBlanc, Charles Alexandre, Al-UDatt, Doaa G.F., Sirois, Martin G., Hebert, Terence E., Tanguay, Jean François, Tardif, Jean Claude, Dobrev, Dobromir, Nattel, Stanley, Hiram, Roddy, Xiong, Feng, Naud, Patrice, Xiao, Jiening, Sosnowski, Deanna K., Le Quilliec, Ewen, Saljic, Arnela, Abu-Taha, Issam H., Kamler, Markus, LeBlanc, Charles Alexandre, Al-UDatt, Doaa G.F., Sirois, Martin G., Hebert, Terence E., Tanguay, Jean François, Tardif, Jean Claude, Dobrev, Dobromir, and Nattel, Stanley
Abstract: Aims Recent studies suggest that bioactive mediators called resolvins promote an active resolution of inflammation. Inflammatory signalling is involved in the development of the substrate for atrial fibrillation (AF). The aim of this study is to evaluate the effects of resolvin-D1 on atrial arrhythmogenic remodelling resulting from left ventricular (LV) dysfunction induced by myocardial infarction (MI) in rats. ......................................................................................................................................................................................................Methods MI was produced by left anterior descending coronary artery ligation. Intervention groups received daily intraperitoneal resolvin- and results D1, beginning before MI surgery (early-RvD1) or Day 7 post-MI (late-RvD1) and continued until Day 21 post-MI. AF vulnerability was evaluated by performing an electrophysiological study. Atrial conduction was analysed by using optical mapping. Fibrosis was quantified by Masson’s trichrome staining and gene expression by quantitative polymerase chain reaction and RNA sequencing. Investigators were blinded to group identity. Early-RvD1 significantly reduced MI size (17 ± 6%, vs. 39 ± 6% in vehicle-MI) and preserved LV ejection fraction; these were unaffected by late-RvD1. Transoesophageal pacing induced atrial tachyarrhythmia in 2/18 (11%) sham-operated rats, vs. 18/18 (100%) MI-only rats, in 5/18 (28%, P < 0.001 vs. MI) early-RvD1 MI rats, and in 7/12 (58%, P < 0.01) late-RvD1 MI rats. Atrial conduction velocity significantly decreased post-MI, an effect suppressed by RvD1 treatment. Both early-RvD1 and late-RvD1 limited MI-induced atrial fibrosis and prevented MI-induced increases in the atrial expression of inflammation-related and fibrosis-related biomarkers and pathways. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Published: 2024

30. Technical Skills Curriculum in Neonatology:A Modified European Delphi Study

Author: Bay, Emma Therese, Breindahl, Niklas, Nielsen, Mathilde M., Roehr, Charles C., Szczapa, Tomasz, Gagliardi, Luigi, Vento, Maximo, Visser, Douwe H., Stoen, Ragnhild, Klotz, Daniel, Rakow, Alexander, Breindahl, Morten, Tolsgaard, Martin G, Aunsholt, Lise, Bay, Emma Therese, Breindahl, Niklas, Nielsen, Mathilde M., Roehr, Charles C., Szczapa, Tomasz, Gagliardi, Luigi, Vento, Maximo, Visser, Douwe H., Stoen, Ragnhild, Klotz, Daniel, Rakow, Alexander, Breindahl, Morten, Tolsgaard, Martin G, and Aunsholt, Lise
Abstract: Introduction: Simulation-based training (SBT) aids healthcare providers in acquiring the technical skills necessary to improve patient outcomes and safety. However, since SBT may require significant resources, training all skills to a comparable extent is impractical. Hence, a strategic prioritization of technical skills is necessary. While the European Training Requirements in Neonatology provide guidance on necessary skills, they lack prioritization. We aimed to identify and prioritize technical skills for a SBT curriculum in neonatology. Methods: A three-round modified Delphi process of expert neonatologists and neonatal trainees was performed. In round one, the participants listed all the technical skills newly trained neonatologists should master. The content analysis excluded duplicates and non-technical skills. In round two, the Copenhagen Academy for Medical Education and Simulation Needs Assessment Formula (CAMES-NAF) was used to preliminarily prioritize the technical skills according to frequency, importance of competency, SBT impact on patient safety, and feasibility for SBT. In round three, the participants further refined and reprioritized the technical skills. Items achieving consensus (agreement of ≥75%) were included. Results: We included 168 participants from 10 European countries. The response rates in rounds two and three were 80% (135/168) and 87% (117/135), respectively. In round one, the participants suggested 1964 different items. Content analysis revealed 81 unique technical skills prioritized in round two. In round three, 39 technical skills achieved consensus and were included. Conclusion: We reached a European consensus on a prioritized list of 39 technical skills to be included in a SBT curriculum in neonatology., INTRODUCTION: Simulation-based training (SBT) aids healthcare providers in acquiring the technical skills necessary to improve patient outcomes and safety. However, since SBT may require significant resources, training all skills to a comparable extent is impractical. Hence, a strategic prioritization of technical skills is necessary. While the European Training Requirements in Neonatology provide guidance on necessary skills, they lack prioritization. We aimed to identify and prioritize technical skills for a SBT curriculum in neonatology.METHODS: A three-round modified Delphi process of expert neonatologists and neonatal trainees was performed. In round one, the participants listed all the technical skills newly trained neonatologists should master. The content analysis excluded duplicates and non-technical skills. In round two, the Copenhagen Academy for Medical Education and Simulation Needs Assessment Formula (CAMES-NAF) was used to preliminarily prioritize the technical skills according to frequency, importance of competency, SBT impact on patient safety, and feasibility for SBT. In round three, the participants further refined and reprioritized the technical skills. Items achieving consensus (agreement of ≥75%) were included.RESULTS: We included 168 participants from 10 European countries. The response rates in rounds two and three were 80% (135/168) and 87% (117/135), respectively. In round one, the participants suggested 1964 different items. Content analysis revealed 81 unique technical skills prioritized in round two. In round three, 39 technical skills achieved consensus and were included.CONCLUSION: We reached a European consensus on a prioritized list of 39 technical skills to be included in a SBT curriculum in neonatology.
Published: 2024

31. The De Morton Mobility Index (DEMMI) in hospitalized geriatric patients is associated with risk of readmission, mortality, and discharge to a post-acute care facility:A nationwide register-based cohort study

Author: Thorsted, Anne B., Thygesen, Lau C., Jezek, Andrea H., Pedersen, Mette M., Jorgensen, Martin G., Vinding, Kirsten, Kannegaard, Pia N., Pedersen, Solvejg G.H., Thorsted, Anne B., Thygesen, Lau C., Jezek, Andrea H., Pedersen, Mette M., Jorgensen, Martin G., Vinding, Kirsten, Kannegaard, Pia N., and Pedersen, Solvejg G.H.
Abstract: Objective To examine the association between the de Morton Mobility Index (DEMMI) score on admission in geriatric patients and readmission and mortality within 30, 180, and 365 days after discharge, and discharge to a post-acute care facility. Methods A nationwide register-based cohort study including 23,941 geriatric in-patients aged ≥65 years admitted to a geriatric ward between 2014 and 2017 and included in the Danish National Database for Geriatrics. The DEMMI score was categorized into four subcategories: very low mobility (DEMMI=0–24), low mobility (DEMMI=27–39), moderately reduced mobility (DEMMI=41–57), and independent mobility (DEMMI=62–100). Patients were followed 30, 180 and 365 days after discharge for readmission and mortality. Their risk of being discharged to a post-acute care facility was examined. Adjusted hazard ratios (HRs) and odds ratios (ORs) with 95 % confidence intervals (CIs) were calculated. Results HRs for readmission within 30-days were 1.36 (1.24–1.48) for very low mobility, 1.30 (1.20–1.42) for low mobility and 1.17 (1.08–1.28) for moderately reduced compared with independent mobility. Similar results were seen for readmission within 180- and 365-days. For mortality, HR for 30-day mortality ranged from1.93 and 5.66, 180-day mortality between 1.62 and 3.19, and 365-day mortality between 1.54 and 2.81 compared with patients with independent mobility. OR for discharge to a post-acute care facility was 8.76 (7.29–10.53) for lowest compared with the highest DEMMI mobility subcategory. Conclusion In geriatric in-patients, lower DEMMI scores on hospital admission are associated with increased rates of discharge to a post-acute care facility, and for readmission, and mortality within one year., Objective: To examine the association between the de Morton Mobility Index (DEMMI) score on admission in geriatric patients and readmission and mortality within 30, 180, and 365 days after discharge, and discharge to a post-acute care facility. Methods: A nationwide register-based cohort study including 23,941 geriatric in-patients aged ≥65 years admitted to a geriatric ward between 2014 and 2017 and included in the Danish National Database for Geriatrics. The DEMMI score was categorized into four subcategories: very low mobility (DEMMI=0–24), low mobility (DEMMI=27–39), moderately reduced mobility (DEMMI=41–57), and independent mobility (DEMMI=62–100). Patients were followed 30, 180 and 365 days after discharge for readmission and mortality. Their risk of being discharged to a post-acute care facility was examined. Adjusted hazard ratios (HRs) and odds ratios (ORs) with 95 % confidence intervals (CIs) were calculated. Results: HRs for readmission within 30-days were 1.36 (1.24–1.48) for very low mobility, 1.30 (1.20–1.42) for low mobility and 1.17 (1.08–1.28) for moderately reduced compared with independent mobility. Similar results were seen for readmission within 180- and 365-days. For mortality, HR for 30-day mortality ranged from1.93 and 5.66, 180-day mortality between 1.62 and 3.19, and 365-day mortality between 1.54 and 2.81 compared with patients with independent mobility. OR for discharge to a post-acute care facility was 8.76 (7.29–10.53) for lowest compared with the highest DEMMI mobility subcategory. Conclusion: In geriatric in-patients, lower DEMMI scores on hospital admission are associated with increased rates of discharge to a post-acute care facility, and for readmission, and mortality within one year.
Published: 2024

32. Validity evidence supporting clinical skills assessment by artificial intelligence compared with trained clinician raters

Author: Johnsson, Vilma, Søndergaard, Morten Bo, Kulasegaram, Kulamakan, Sundberg, Karin, Tiblad, Eleonor, Herling, Lotta, Petersen, Olav Bjørn, Tolsgaard, Martin G., Johnsson, Vilma, Søndergaard, Morten Bo, Kulasegaram, Kulamakan, Sundberg, Karin, Tiblad, Eleonor, Herling, Lotta, Petersen, Olav Bjørn, and Tolsgaard, Martin G.
Abstract: Background: Artificial intelligence (AI) is becoming increasingly used in medical education, but our understanding of the validity of AI-based assessments (AIBA) as compared with traditional clinical expert-based assessments (EBA) is limited. In this study, the authors aimed to compare and contrast the validity evidence for the assessment of a complex clinical skill based on scores generated from an AI and trained clinical experts, respectively. Methods: The study was conducted between September 2020 to October 2022. The authors used Kane's validity framework to prioritise and organise their evidence according to the four inferences: scoring, generalisation, extrapolation and implications. The context of the study was chorionic villus sampling performed within the simulated setting. AIBA and EBA were used to evaluate performances of experts, intermediates and novice based on video recordings. The clinical experts used a scoring instrument developed in a previous international consensus study. The AI used convolutional neural networks for capturing features on video recordings, motion tracking and eye movements to arrive at a final composite score. Results: A total of 45 individuals participated in the study (22 novices, 12 intermediates and 11 experts). The authors demonstrated validity evidence for scoring, generalisation, extrapolation and implications for both EBA and AIBA. The plausibility of assumptions related to scoring, evidence of reproducibility and relation to different training levels was examined. Issues relating to construct underrepresentation, lack of explainability, and threats to robustness were identified as potential weak links in the AIBA validity argument compared with the EBA validity argument. Conclusion: There were weak links in the use of AIBA compared with EBA, mainly in their representation of the underlying construct but also regarding their explainability and ability to transfer to other datasets. However, combining AI and clinical e
Published: 2024

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

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

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

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

35. PKG API: A Tool for Personal Knowledge Graph Management

Author: Bernard, Nolwenn, Kostric, Ivica, Łajewska, Weronika, Balog, Krisztian, Galuščáková, Petra, Setty, Vinay, Skjæveland, Martin G., Bernard, Nolwenn, Kostric, Ivica, Łajewska, Weronika, Balog, Krisztian, Galuščáková, Petra, Setty, Vinay, and Skjæveland, Martin G.
Abstract: Personal knowledge graphs (PKGs) offer individuals a way to store and consolidate their fragmented personal data in a central place, improving service personalization while maintaining full user control. Despite their potential, practical PKG implementations with user-friendly interfaces remain scarce. This work addresses this gap by proposing a complete solution to represent, manage, and interface with PKGs. Our approach includes (1) a user-facing PKG Client, enabling end-users to administer their personal data easily via natural language statements, and (2) a service-oriented PKG API. To tackle the complexity of representing these statements within a PKG, we present an RDF-based PKG vocabulary that supports this, along with properties for access rights and provenance.
Published: 2024

36. Development of an orally relevant biofilm disinfection model

Author: Martin, G. C.
Subjects: 617.6
Abstract: This thesis describes the development and use of a novel microtitre plate biofilm system for testing the antimicrobial activity of test materials. The developed model is capable of high-throughput screening and furthermore the system has been shown to be stable and reproducible. The search for new antimicrobial agents for improved plaque control requires appropriate screening models. Key criteria for these models include; predictive of clinical data, orally relevant organisms (mixed species, bacteria present in biofilms), short contact time, rapid, reproducible and high throughput. The most widely used biofilm system for evaluating oral antimicrobials are the Constant Depth Film Fermentor (CDFF) and the Minimum Biofilm Eradication Concentration (MBEC) model systems. Each system has advantages for specific investingations; however neither and no other single system fulfils all of the criteria listed above. The CDFF is an orally relevant model that mimics biofilm development under constant salivary flow; typically the inoculum is derived from human dental plaque. Microbial analyses of in vitro growth show populations that are representative of in vivo plaque. However, the system is prone to contamination, is labour intensive and has limited capacity for testing multiple agents. The MBEC model investigates the antibacterial susceptibility of attached bacteria to the 96-pegs on the lid of a microtitre plate based system. Unfortunately, this model was not originally designed for use with oral bacteria; therefore, concerns exist for the use of the MBEC with oral bacteria including the development of oral biofilms on non-orally relevant surfaces such as polystyrene, as found in the MBEC pegs. The aim of this project was to develop a microtitre plate based biofilm assay that could assess the effects of antimicrobials against orally relevant biofilms grown on a relevant surface and compare it to recognised standard model systems. Biofilms derived from a defined inoculum were grown on hydroxyapatite-coated microtitre plate wells. Biofilm characteristics were assessed and were shown to be reproducible and allow for high-throughput screening. Antimicrobial testing showed a dose response and known actives were able to be 'ranked' in the same order as seen in clinical trials. This research has culminated in the development of a simple, high-throughput, reproducible 'off-the-shelf' method for the rapid screening of antimicrobial compounds against an orally relevant biofilm.
Published: 2012

37. Shaping popular culture : radio broadcasting, mass entertainment and the work of the BBC Variety Department, 1933-1967

Author: Dibbs, Martin G. R. and Nott, James J.
Subjects: 384.540941, Radio comedy, popular music, jazz, Popular culture, Anti-Americanism in the media, Media censorship, BBC, Popular entertainment
Abstract: This thesis examines the extent to which the BBC was able to shape the output of popular culture on radio in Britain, according to its own system of beliefs, between the years 1933 and 1967. This research will show that from the outset, the BBC was an institution with a mission to inform, educate and entertain the nation. While it was not opposed to entertainment, its focus was didactic and supported a mission to improve its audience both culturally and intellectually. This policy was not always welcomed by the audience but, with the exception of the war years, persisted into mid 1950s. The Variety Department was formed in 1933 to produce all forms of light entertainment and this research will examine how its policies shaped the production of popular culture over the period concerned. This study looks not only at the workings of the Variety Department but also the topics of Americanisation and vulgarity, the two areas in which the BBC had particular sensitivities. It analyses the BBC's strategies to counteract the American effect on popular music and spoken-word programmes and how it provided its own particularly British form of entertainment in order to produce programmes it considered suitable for British audiences. It also investigates programme censorship imposed by the BBC to mitigate vulgarity in programmes, so as to produce those it considered suitable for its audiences. This thesis will contend that for over 40 years the BBC Variety Department produced popular entertainment programmes on radio which became an integral part of people's daily lives until, within a few years radio was superseded by television as the nation's principal provider of domestic entertainment. There has been no discrete study of the BBC Variety Department and it is intended that this research will add to the existing scholarship in BBC history and contribute to the analysis of radio's place in domestic popular culture in the period examined.
Published: 2012

38. Early Detection of Emotional Disorders in South Australia: The First Two Years.

Author: Southern Child and Adolescent Mental Health Service, Bedford Park (South Australia)., Martin, G., Roeger, L., Dadds, V., and Allison, S.
Abstract: Each year about 30 young South Australians die from suicide. Schools have a responsibility to help address the mental health concerns of students to ensure the development of mature and productive citizens for the future. The program outlined in this booklet is designed to help reduce the suicidal behaviors in young people. The report summarizes the results from the first 2 years of the Early Detection of Emotional Disorders Program implemented in 17 high schools in Australia. Contents include: (1) "Introduction"; (2) "Program Design and Implementation"; (3) "Student Profile"; (4) "Families and Parenting"; (5) "Mental Health"; (6) "Delinquent Behaviour"; (7) "Suicidality"; (8) "Vulnerable Students"; and (9) "Concluding Remarks". (Contains a glossary of terms and 91 references.) (JDM)
Published: 1997

39. Factors affecting the dynamic response of the body and the vibration transmitted through seats

Author: Toward, Martin G. R. and Griffin, Michael
Subjects: 612, QP Physiology, T Technology (General)
Abstract: The vibration transmitted through a seat is influenced by the dynamics of the seat and the dynamics of the occupant. The principal objective of this thesis is to understand how the dynamics of the body and factors affecting the dynamics of the body influence the vibration transmitted through seats. Previous studies have shown that the apparent mass of the body and seat transmissibility are affected by the seating environment (e.g. vibration input spectra, backrest, hands position, foot position) and variability between people (i.e. physical characteristics), but these effects have not previously been systematically explored for realistic seating conditions. The apparent masses of 12 subjects were measured during exposure to random vertical vibration (from 0.125 to 40 Hz) to investigate the effects of the seat backrest, the footrest and steering wheel, and input spectra. In a rigid seat with no backrest, there were resonances in the apparent mass of the body around 5 and 10 Hz (with 1.0 ms-2 r.m.s broadband vibration). In the same seat with a rigid backrest, the median resonance frequency in the apparent mass increased from 5.47 to 6.35 Hz as the backrest was reclined to 30 degrees in 5 degrees increments; with a 100-mm foam backrest, the median resonance frequency decreased from 5.18 to 4.49 Hz as the backrest was reclined to 30 degrees. When subjects held a steering wheel, the mass supported on the seat surface decreased and there was an additional resonance at 4 Hz in the apparent mass. Moving the steering wheel away from the body reduced the apparent mass at resonance and increased the apparent mass around the 4 Hz resonance. As the feet moved forward, the mass supported on the seat surface increased, indicating that the backrest and footrest supported a lesser proportion of the subject weight. Applying force (0, 50, 100, 150, 200 N) to either the steering wheel or the footrest reduced the apparent mass at resonance and decreased the mass supported on the seat surface. Narrowband inputs at ½-octave intervals (from 1 to 16 Hz) presented at five magnitudes (0.25, 0.4, 0.63, 1.0 and 1.6 ms-2 r.m.s.) showed that the extent of nonlinearity previously observed with broadband vibration was frequency-dependent: the magnitude of vibration at frequencies less than 4 Hz had the greatest effect on the apparent mass at resonance, while vibration at frequencies less than 8 Hz had the greatest effect on the resonance frequency. A simple lumped parameter model was used to demonstrate that changes in the apparent mass with backrest contact, backrest inclination, hand position, foot position and vibration magnitude could be closely represented by changing the parameters in the model. Trends in model parameters, the damping ratios, and the damped natural frequencies were identified as a function of the model variables. A study was designed to determine how the physical characteristics of 80 seated adults (41 males and 39 females aged 18 to 65) affected their apparent mass and the transmission of vibration through a seat. Multiple regression models showed that while the strongest predictor of the vertical apparent mass at 0.6 Hz, at resonance, and at 12 Hz was bodyweight, weight was not strongly associated with seat transmissibility. A lumped parameter seat-person model was used to show that the dynamic stiffness of the seat increased with increased loading so as to compensate for increases in apparent mass associated with increased sitting weight. As age increased from 18 to 65 years, the apparent mass resonance frequency increased by up to 1.7 Hz. This change was greater than the 0.9-Hz increase in resonance frequency between sitting without a backrest and sitting with a backrest reclined to 15° and greater than the 1.0-Hz reduction in resonance frequency when the magnitude of vibration increased from 0.5 to 1.5 ms-2 r.m.s. Subject age was much the strongest predictor of the seat transmissibility resonance frequency and the transmissibility at resonance. The model was used to show that changes in the seat transmissibility with age could be predicted from changes in the apparent mass with age.
Published: 2010

40. 'The distinction' and 'the relation' : creation and the creator in Burrell and Schillebeeckx

Author: Poulsom, Martin G.
Subjects: 231.7
Abstract: This treatise investigates the philosophical components of Christian creation-faith, considering their character and the connections between them, developing a particular expression of the distinction and relation between creation and its Creator. The work of David Burrell and Edward Schillebeeckx furnishes tools for that development, in two ways: firstly, by supplying a terminology of distinction and relation that shapes the discourse; consequently, by facilitating the study of the interaction between 'the distinction' and 'the relation' of creation, which, in both authors' work, is dialectical in character. The study assesses whether Burrell and Schillebeeckx each stress one of these concepts at the expense of the other, finding the evidence suggestive but not compelling. It examines dialectic more closely, describing Burrell's dialectic as polar and Schillebeeckx's as relational. The polar nature of Burrell's dialectic generates a tension between the relata, tending to pull them apart. Schillebeeckx's relational dialectic results, rather, in a mutual interaction in which the relata support and enrich one another. A preference is voiced for Schillebeeckx's relational dialectic, an organizing principle not only of his account of creation, but of his philosophical theology more generally. His method of correlation is examined, concentrating on the way it directs his accounts of praxis and of humanism. Relational dialectic then serves as the basis for the articulation of a Schillebeeckian philosophical theology, following in his footsteps without imitating him exactly. This gives rise retrospectively to a novel reading of Aquinas on analogical language about God. It offers the prospect of a seamless philosophical theology, drawing on the idea of participation to speak of the humanization and divinization of men and women. Relational dialectic also facilitates the expression of a mutual interaction between God's free commitment to creation and humanity's free commitment to a better future for the world.
Published: 2006

41. Barriers to participation in learning for mid-career managers in the Scottish life assurance industry

Author: McCracken, Martin G.
Subjects: 658, LC5201 Education extension. Adult education. Continuing education, HD28 Management. Industrial Management
Abstract: The Life Assurance industry has been through a period of rapid change as a consequence of increased competition, which is resulting in the need for structural re-organisation. The mid-career manager is arguably the most affected by these changes as the flattening structures and the need for obtaining new skills are leading to a re-appraisal of their role, while also diminishing their chances of the vertical progression that was traditionally on offer. It is against this background that an analysis of the barriers to participation in learning was undertaken through in-depth interviews with 61 managers from five of the largest Scottish Life Assurance institutions. A grounded model was developed to identify the prevalence of both intrinsic and extrinsic factors affecting participation levels. The model identified five intrinsic variables (Perceptual, Emotional, Motivational, Cognitive (General) and Cognitive (Vocational)) and three extrinsic factors (Culture, Management Development Culture and Physical Resources) and the managers were categorised against these variables according to their propensity to participate in learning initiatives. While the intrinsic barriers relating to managers perceived need for learning and emotional insecurities were important, the managers appeared to primarily attribute their levels of participation to the presence or otherwise of extrinsic variables. In particular, the organisational culture was seen to be crucial in influencing participation levels, as there were high levels of negativity surrounding the support and guidance structures for learning. The ambiguity of reward strategies was also seen to be an inhibitor, as were time pressures. Organisations need to address the issue of balancing participation in learning activities with the pressures originating from both mid-career managers private and professional lives as a potential solution to these external pressures. It was suggested that barriers to learning could be alleviated through better support and guidance and the development of a learning culture, encompassing top management involvement.
Published: 2002

42. Tests of Lepton Universality Using B0 ? KS0 â„“+â„“- and B+ ?k*+â„“+â„“- Decays

Author: Aaij, R, Abdelmotteleb, A, Beteta, A, Abudinen, F, Ackernley, T, Adeva, B, Adinolfi, M, Afsharnia, H, Agapopoulou, C, Aidala, C, Aiola, S, Ajaltouni, Z, Akar, S, Albrecht, J, Alessio, F, Alexander, M, Alfonso Albero, A, Aliouche, Z, Alkhazov, G, Cartelle, A, Amato, S, Amey, J, Amhis, Y, An, L, Anderlini, L, Andersson, N, Andreianov, A, Andreotti, M, Archilli, F, Artamonov, A, Artuso, M, Arzymatov, K, Aslanides, E, Atzeni, M, Audurier, B, Bachmann, S, Bachmayer, M, Back, J, Rodriguez, B, Balagura, V, Baldini, W, Leite, B, Barbetti, M, Barlow, R, Barsuk, S, Barter, W, Bartolini, M, Baryshnikov, F, Basels, J, Bashir, S, Bassi, G, Batsukh, B, Battig, A, Bay, A, Beck, A, Becker, M, Bedeschi, F, Bediaga, I, Beiter, A, Belavin, V, Belin, S, Bellee, V, Belous, K, Belov, I, Belyaev, I, Bencivenni, G, Ben-Haim, E, Berezhnoy, A, Bernet, R, Berninghoff, D, Bernstein, H, Bertella, C, Bertolin, A, Betancourt, C, Betti, F, Bezshyiko, I, Bhasin, S, Bhom, J, Bian, L, Bieker, M, Biesuz, N, Bifani, S, Billoir, P, Biolchini, A, Birch, M, Bishop, F, Bitadze, A, Bizzeti, A, Bjorn, M, Blago, M, Blake, T, Blanc, F, Blusk, S, Bobulska, D, Boelhauve, J, Boente Garcia, O, Boettcher, T, Boldyrev, A, Bondar, A, Bondar, N, Borghi, S, Borisyak, M, Borsato, M, Borsuk, J, Bouchiba, S, Bowcock, T, Boyer, A, Bozzi, C, Bradley, M, Braun, S, Brodzicka, J, Gonzalo, B, Brundu, D, Buonaura, A, Buonincontri, L, Burke, A, Burr, C, Bursche, A, Butkevich, A, Butter, J, Buytaert, J, Byczynski, W, Cadeddu, S, Cai, H, Calabrese, R, Calefice, L, Cali, S, Calladine, R, Calvi, M, Gomez, C, Magalhaes, C, Campana, P, Quezada, C, Capelli, S, Capriotti, L, Carbone, A, Carboni, G, Cardinale, R, Cardini, A, Carli, I, Carniti, P, Carus, L, Akiba, C, Vidal, C, Caspary, R, Casse, G, Cattaneo, M, Cavallero, G, Celani, S, Cerasoli, J, Cervenkov, D, Chadwick, A, Chapman, M, Charles, M, Charpentier, P, Chatzikonstantinidis, G, Barajas, C, Chefdeville, M, Chen, C, Chen, S, Chernov, A, Chobanova, V, Cholak, S, Chrzaszcz, M, Chubykin, A, Chulikov, V, Ciambrone, P, Cicala, M, Cid Vidal, X, Ciezarek, G, Clarke, P, Clemencic, M, Cliff, H, Closier, J, Cobbledick, J, Coco, V, Coelho, J, Cogan, J, Cogneras, E, Cojocariu, L, Collins, P, Colombo, T, Congedo, L, Contu, A, Cooke, N, Coombs, G, Corredoira, I, Corti, G, Sobral, C, Couturier, B, Craik, D, Crkovska, J, Torres, C, Currie, R, Da Silva, C, Dadabaev, S, Dai, L, Dall'Occo, E, Dalseno, J, D'Ambrosio, C, Danilina, A, D'Argent, P, Dashkina, A, Davies, J, Davis, A, De Aguiar Francisco, O, De Bruyn, K, De Capua, S, De Cian, M, De Lucia, E, De Miranda, J, De Paula, L, De Serio, M, De Simone, D, De Simone, P, De Vellis, F, De Vries, J, Dean, C, Debernardis, F, Decamp, D, Dedu, V, Del Buono, L, Delaney, B, Dembinski, H, Dendek, A, Denysenko, V, Derkach, D, Deschamps, O, Desse, F, Dettori, F, Dey, B, Di Cicco, A, Di Nezza, P, Didenko, S, Maronas, D, Dijkstra, H, Dobishuk, V, Dong, C, Donohoe, A, Dordei, F, Dos Reis, A, Douglas, L, Dovbnya, A, Downes, A, Dudek, M, Dufour, L, Duk, V, Durante, P, Durham, J, Dutta, D, Dziurda, A, Dzyuba, A, Easo, S, Egede, U, Egorychev, V, Eidelman, S, Eisenhardt, S, Ek-In, S, Eklund, L, Ely, S, Ene, A, Epple, E, Escher, S, Eschle, J, Esen, S, Evans, T, Falcao, L, Fan, Y, Fang, B, Farry, S, Fazzini, D, Feo, M, Prieto, F, Fernez, A, Ferrari, F, Lopes, L, Rodrigues, F, Sole, S, Ferrillo, M, Ferro-Luzzi, M, Filippov, S, Fini, R, Fiorini, M, Firlej, M, Fischer, K, Fitzgerald, D, Fitzpatrick, C, Fiutowski, T, Fkiaras, A, Fleuret, F, Fontana, M, Fontanelli, F, Forty, R, Foulds-Holt, D, Lima, F, Sevilla, F, Frank, M, Franzoso, E, Frau, G, Frei, C, Friday, D, Fu, J, Fuehring, Q, Gabriel, E, Galati, G, Torreira, G, Galli, D, Gambetta, S, Gan, Y, Gandelman, M, Gandini, P, Gao, Y, Garau, M, Martin, G, Oreno, G, Pardinas, G, Plana, G, Rosales, G, Garrido, L, Gaspar, C, Geertsema, R, Gerick, D, Gerken, L, Gersabeck, E, Gersabeck, M, Gershon, T, Gerstel, D, Giambastiani, L, Gibson, V, Giemza, H, Gilman, A, Giovannetti, M, Gioventu, A, Gironell, G, Giugliano, C, Gizdov, K, Gkougkousis, E, Gligorov, V, Gobel, C, Golobardes, E, Golubkov, D, Golutvin, A, Gomes, A, Fernandez, G, Abrantes, G, Goncerz, M, Gong, G, Gorbounov, P, Gorelov, I, Gotti, C, Govorkova, E, Grabowski, J, Grammatico, T, Cardoso, G, Grauges, E, Graverini, E, Graziani, G, Grecu, A, Greeven, L, Grieser, N, Grillo, L, Gromov, S, Cazon, G, Gu, C, Guarise, M, Guittiere, M, Gunther, P, Gushchin, E, Guth, A, Guz, Y, Gys, T, Hadavizadeh, T, Haefeli, G, Haen, C, Haimberger, J, Halewood-Leagas, T, Hamilton, P, Hammerich, J, Han, Q, Han, X, Hancock, T, Hansen, E, Hansmann-Menzemer, S, Harnew, N, Harrison, T, Hasse, C, Hatch, M, He, J, Hecker, M, Heijhoff, K, Heinicke, K, Henderson, R, Hennequin, A, Hennessy, K, Henry, L, Heuel, J, Hicheur, A, Hill, D, Hilton, M, Hollitt, S, Hou, R, Hou, Y, Hu, J, Hu, W, Hu, X, Huang, W, Huang, X, Hulsbergen, W, Hunter, R, Hushchyn, M, Hutchcroft, D, Hynds, D, Ibis, P, Idzik, M, Ilin, D, Ilten, P, Inglessi, A, Ishteev, A, Ivshin, K, Jacobsson, R, Jage, H, Jakobsen, S, Jans, E, Jashal, B, Jawahery, A, Jevtic, V, Jiang, X, John, M, Johnson, D, Jones, C, Jones, T, Jost, B, Jurik, N, Kadavath, K, Kandybei, S, Kang, Y, Karacson, M, Karpov, M, Kautz, J, Keizer, F, Keller, D, Kenzie, M, Ketel, T, Khanji, B, Kharisova, A, Kholodenko, S, Kirn, T, Kirsebom, V, Kitouni, O, Klaver, S, Kleijne, N, Klimaszewski, K, Kmiec, M, Koliiev, S, Kondybayeva, A, Konoplyannikov, A, Kopciewicz, P, Kopecna, R, Koppenburg, P, Korolev, M, Kostiuk, I, Kot, O, Kotriakhova, S, Kravchenko, P, Kravchuk, L, Krawczyk, R, Kreps, M, Kress, F, Kretzschmar, S, Krokovny, P, Krupa, W, Krzemien, W, Kubat, J, Kucharczyk, M, Kudryavtsev, V, Kuindersma, H, Kunde, G, Kvaratskheliya, T, Lacarrere, D, Lafferty, G, Lai, A, Lampis, A, Lancierini, D, Lane, J, Lane, R, Lanfranchi, G, Langenbruch, C, Langer, J, Lantwin, O, Latham, T, Lazzari, F, Le Gac, R, Lee, S, Lefevre, R, Leflat, A, Legotin, S, Leroy, O, Lesiak, T, Leverington, B, Li, H, Li, P, Li, S, Li, Y, Li, Z, Liang, X, Lin, T, Lindner, R, Lisovskyi, V, Litvinov, R, Liu, G, Liu, H, Liu, Q, Liu, S, Salvia, L, Loi, A, Castro, L, Longstaff, I, Lopes, J, Solino, L, Lovell, G, Lu, Y, Lucarelli, C, Lucchesi, D, Luchuk, S, Martinez, L, Lukashenko, V, Luo, Y, Lupato, A, Luppi, E, Lupton, O, Lusiani, A, Lyu, X, Ma, L, Ma, R, Maccolini, S, Machefert, F, Maciuc, F, Macko, V, Mackowiak, P, Maddrell-Mander, S, Madejczyk, O, Mohan, M, Maev, O, Maevskiy, A, Majewski, M, Malczewski, J, Malde, S, Malecki, B, Malinin, A, Maltsev, T, Malygina, H, Manca, G, Mancinelli, G, Manuzzi, D, Marangotto, D, Maratas, J, Marchand, J, Marconi, U, Mariani, S, Benito, M, Marinangeli, M, Marks, J, Marshall, A, Marshall, P, Martelli, G, Martellotti, G, Martinazzoli, L, Martinelli, M, Santos, M, Vidal, M, Massafferri, A, Materok, M, Matev, R, Mathad, A, Matiunin, V, Matteuzzi, C, Mattioli, K, Mauri, A, Maurice, E, Mauricio, J, Mazurek, M, Mccann, M, Mcconnell, L, Mcgrath, T, Mchugh, N, Mcnab, A, Mcnulty, R, Mead, J, Meadows, B, Meier, G, Melnychuk, D, Meloni, S, Merk, M, Merli, A, Garcia, M, Mikhasenko, M, Milanes, D, Millard, E, Milovanovic, M, Minard, M, Minotti, A, Minzoni, L, Mitchell, S, Mitreska, B, Mitzel, D, Modden, A, Mohammed, R, Moise, R, Mokhnenko, S, Mombacher, T, Monroy, I, Monteil, S, Morandin, M, Morello, G, Morello, M, Moron, J, Morris, A, Mountain, R, Mu, H, Muheim, F, Mulder, M, Muller, D, Muller, K, Murphy, C, Murray, D, Murta, R, Muzzetto, P, Naik, P, Nakada, T, Nandakumar, R, Nanut, T, Nasteva, I, Needham, M, Neri, N, Neubert, S, Neufeld, N, Newcombe, R, Niel, E, Nieswand, S, Nikitin, N, Nolte, N, Normand, C, Nunez, C, Oblakowska-Mucha, A, Obraztsov, V, Oeser, T, O'Hanlon, D, Okamura, S, Oldeman, R, Oliva, F, Olivares, M, Onderwater, C, O'Neil, R, Goicochea, O, Ovsiannikova, T, Owen, P, Oyanguren, A, Padeken, K, Pagare, B, Pais, P, Pajero, T, Palano, A, Palutan, M, Pan, Y, Panshin, G, Papanestis, A, Pappagallo, M, Pappalardo, L, Pappenheimer, C, Parker, W, Parkes, C, Passalacqua, B, Passaleva, G, Pastore, A, Patel, M, Patrignani, C, Pawley, C, Pearce, A, Pellegrino, A, Altarelli, P, Perazzini, S, Pereima, D, Castro, P, Perret, P, Petric, M, Petridis, K, Petrolini, A, Petrov, A, Petrucci, S, Petruzzo, M, Pham, T, Philippov, A, Piandani, R, Pica, L, Piccini, M, Pietrzyk, B, Pietrzyk, G, Pili, M, Pinci, D, Pisani, F, Pizzichemi, M, Resmi, P, Placinta, V, Plews, J, Casasus, P, Polci, F, Lener, P, Poliakova, M, Poluektov, A, Polukhina, N, Polyakov, I, Polycarpo, E, Ponce, S, Popov, D, Popov, S, Poslavskii, S, Prasanth, K, Promberger, L, Prouve, C, Pugatch, V, Puill, V, Punzi, G, Qi, H, Qian, W, Qin, N, Quagliani, R, Raab, N, Trejo, R, Rachwal, B, Rademacker, J, Rama, M, Pernas, R, Rangel, M, Ratnikov, F, Raven, G, Reboud, M, Redi, F, Reiss, F, Alepuz, R, Ren, Z, Renaudin, V, Ribatti, R, Ricci, A, Ricciardi, S, Rinnert, K, Robbe, P, Robertson, G, Rodrigues, A, Rodrigues, E, Lopez, R, Rodriguez, R, Rollings, A, Roloff, P, Romanovskiy, V, Romero Lamas, M, Romero Vidal, A, Roth, J, Rotondo, M, Rudolph, M, Ruf, T, Fernandez, R, Vidal, R, Ryzhikov, A, Ryzka, J, Silva, S, Sagidova, N, Sahoo, N, Saitta, B, Salomoni, M, Gras, S, Santacesaria, R, Rios, S, Santimaria, M, Santovetti, E, Saranin, D, Sarpis, G, Sarpis, M, Sarti, A, Satriano, C, Satta, A, Saur, M, Savrina, D, Sazak, H, Smead, S, Scarabotto, A, Schael, S, Scherl, S, Schiller, M, Schindler, H, Schmelling, M, Schmidt, B, Schmitt, S, Schneider, O, Schopper, A, Schubiger, M, Schulte, S, Schune, M, Schwemmer, R, Sciascia, B, Sellam, S, Semennikov, A, Senghi Soares, M, Sergi, A, Serra, N, Sestini, L, Seuthe, A, Shang, Y, Shangase, D, Shapkin, M, Shchemerov, I, Shchutska, L, Shears, T, Shekhtman, L, Shen, Z, Sheng, S, Shevchenko, V, Shields, E, Shimizu, Y, Shmanin, E, Shupperd, J, Siddi, B, Coutinho, S, Simi, G, Simone, S, Skidmore, N, Skwarnicki, T, Slater, M, Slazyk, I, Smallwood, J, Smeaton, J, Smetkina, A, Smith, E, Smith, M, Snoch, A, Lavra, S, Sokoloff, M, Soler, F, Solovev, A, Solovyev, I, De Almeida, S, De Paula, S, Spaan, B, Norella, S, Spradlin, P, Stagni, F, Stahl, M, Stahl, S, Stanislaus, S, Steinkamp, O, Stenyakin, O, Stevens, H, Stone, S, Strekalina, D, Suljik, F, Sun, J, Sun, L, Sun, Y, Svihra, P, Swallow, P, Swientek, K, Szabelski, A, Szumlak, T, Szymanski, M, Taneja, S, Tanner, A, Tat, M, Terentev, A, Teubert, F, Thomas, E, Thompson, D, Thomson, K, Tilquin, H, Tisserand, V, T'Jampens, S, Tobin, M, Tomassetti, L, Tong, X, Machado, T, Tou, D, Trifonova, E, Trilov, S, Trippl, C, Tuci, G, Tully, A, Tuning, N, Ukleja, A, Unverzagt, D, Ursov, E, Usachov, A, Ustyuzhanin, A, Uwer, U, Vagner, A, Vagnoni, V, Valassi, A, Valenti, G, Canudas, V, Beuzekom, V, Dijk, V, Hecke, V, Herwijnen, V, Veghel, V, Vazquez Gomez, R, Regueiro, V, Sierra, V, Vecchi, S, Velthuis, J, Veltri, M, Venkateswaran, A, Veronesi, M, Vesterinen, M, Vieira, D, Vieites Diaz, M, Viemann, H, Vilasis-Cardona, X, Vilella Figueras, E, Villa, A, Vincent, P, Volle, F, Bruch, V, Vorobyev, A, Vorobyev, V, Voropaev, N, Vos, K, Waldi, R, Walsh, J, Wang, C, Wang, J, Wang, M, Wang, R, Wang, Y, Wang, Z, Ward, J, Watson, N, Weber, S, Websdale, D, Weisser, C, Westhenry, B, White, D, Whitehead, M, Wiederhold, A, Wiedner, D, Wilkinson, G, Wilkinson, M, Williams, I, Williams, M, Wilson, F, Wislicki, W, Witek, M, Witola, L, Wormser, G, Wotton, S, Wu, H, Wyllie, K, Xiang, Z, Xiao, D, Xie, Y, Xu, A, Xu, J, Xu, L, Xu, M, Xu, Q, Xu, Z, Yang, D, Yang, S, Yang, Y, Yang, Z, Yao, Y, Yeomans, L, Yin, H, Yu, J, Yuan, X, Yushchenko, O, Zaffaroni, E, Zavertyaev, M, Zdybal, M, Zenaiev, O, Zeng, M, Zhang, D, Zhang, L, Zhang, S, Zhang, Y, Zharkova, A, Zhelezov, A, Zheng, Y, Zhou, T, Zhou, X, Zhou, Y, Zhovkovska, V, Zhu, X, Zhu, Z, Zhukov, V, Zonneveld, J, Zou, Q, Zucchelli, S, Zuliani, D, Zunica, G, Aaij R., Abdelmotteleb A. S. W., Beteta A. C., Abudinen F., Ackernley T., Adeva B., Adinolfi M., Afsharnia H., Agapopoulou C., Aidala C. A., Aiola S., Ajaltouni Z., Akar S., Albrecht J., Alessio F., Alexander M., Alfonso Albero A., Aliouche Z., Alkhazov G., Cartelle A. P., Amato S., Amey J. L., Amhis Y., An L., Anderlini L., Andersson N., Andreianov A., Andreotti M., Archilli F., Artamonov A., Artuso M., Arzymatov K., Aslanides E., Atzeni M., Audurier B., Bachmann S., Bachmayer M., Back J. J., Rodriguez B. P., Balagura V., Baldini W., Leite B. J., Barbetti M., Barlow R. J., Barsuk S., Barter W., Bartolini M., Baryshnikov F., Basels J. M., Bashir S., Bassi G., Batsukh B., Battig A., Bay A., Beck A., Becker M., Bedeschi F., Bediaga I., Beiter A., Belavin V., Belin S., Bellee V., Belous K., Belov I., Belyaev I., Bencivenni G., Ben-Haim E., Berezhnoy A., Bernet R., Berninghoff D., Bernstein H. C., Bertella C., Bertolin A., Betancourt C., Betti F., Bezshyiko I., Bhasin S., Bhom J., Bian L., Bieker M. S., Biesuz N. V., Bifani S., Billoir P., Biolchini A., Birch M., Bishop F. C. R., Bitadze A., Bizzeti A., Bjorn M., Blago M. P., Blake T., Blanc F., Blusk S., Bobulska D., Boelhauve J. A., Boente Garcia O., Boettcher T., Boldyrev A., Bondar A., Bondar N., Borghi S., Borisyak M., Borsato M., Borsuk J. T., Bouchiba S. A., Bowcock T. J. V., Boyer A., Bozzi C., Bradley M. J., Braun S., Rodriguez B. A., Brodzicka J., Gonzalo B. A., Brundu D., Buonaura A., Buonincontri L., Burke A. T., Burr C., Bursche A., Butkevich A., Butter J. S., Buytaert J., Byczynski W., Cadeddu S., Cai H., Calabrese R., Calefice L., Cali S., Calladine R., Calvi M., Gomez C. M., Magalhaes C. P., Campana P., Quezada C. A. F., Capelli S., Capriotti L., Carbone A., Carboni G., Cardinale R., Cardini A., Carli I., Carniti P., Carus L., Akiba C. K., Vidal C. A., Caspary R., Casse G., Cattaneo M., Cavallero G., Celani S., Cerasoli J., Cervenkov D., Chadwick A. J., Chapman M. G., Charles M., Charpentier P., Chatzikonstantinidis G., Barajas C. C. A., Chefdeville M., Chen C., Chen S., Chernov A., Chobanova V., Cholak S., Chrzaszcz M., Chubykin A., Chulikov V., Ciambrone P., Cicala M. F., Cid Vidal X., Ciezarek G., Clarke P. E. L., Clemencic M., Cliff H. V., Closier J., Cobbledick J. L., Coco V., Coelho J. A. B., Cogan J., Cogneras E., Cojocariu L., Collins P., Colombo T., Congedo L., Contu A., Cooke N., Coombs G., Corredoira I., Corti G., Sobral C. C. M., Couturier B., Craik D. C., Crkovska J., Torres C. M., Currie R., Da Silva C. L., Dadabaev S., Dai L., Dall'Occo E., Dalseno J., D'Ambrosio C., Danilina A., D'Argent P., Dashkina A., Davies J. E., Davis A., De Aguiar Francisco O., De Bruyn K., De Capua S., De Cian M., De Lucia E., De Miranda J. M., De Paula L., De Serio M., De Simone D., De Simone P., De Vellis F., De Vries J. A., Dean C. T., Debernardis F., Decamp D., Dedu V., Del Buono L., Delaney B., Dembinski H. -P., Dendek A., Denysenko V., Derkach D., Deschamps O., Desse F., Dettori F., Dey B., Di Cicco A., Di Nezza P., Didenko S., Maronas D. L., Dijkstra H., Dobishuk V., Dong C., Donohoe A. M., Dordei F., Dos Reis A. C., Douglas L., Dovbnya A., Downes A. G., Dudek M. W., Dufour L., Duk V., Durante P., Durham J. M., Dutta D., Dziurda A., Dzyuba A., Easo S., Egede U., Egorychev V., Eidelman S., Eisenhardt S., Ek-In S., Eklund L., Ely S., Ene A., Epple E., Escher S., Eschle J., Esen S., Evans T., Falcao L. N., Fan Y., Fang B., Farry S., Fazzini D., Feo M., Prieto F. A., Fernez A. D., Ferrari F., Lopes L., Rodrigues F. F., Sole S., Ferrillo M., Ferro-Luzzi M., Filippov S., Fini R. A., Fiorini M., Firlej M., Fischer K. M., Fitzgerald D. S., Fitzpatrick C., Fiutowski T., Fkiaras A., Fleuret F., Fontana M., Fontanelli F., Forty R., Foulds-Holt D., Lima F. V., Sevilla F. M., Frank M., Franzoso E., Frau G., Frei C., Friday D. A., Fu J., Fuehring Q., Gabriel E., Galati G., Torreira G. A., Galli D., Gambetta S., Gan Y., Gandelman M., Gandini P., Gao Y., Garau M., Martin G. L. M., Oreno G. P., Pardinas G. J., Plana G. B., Rosales G. F. A., Garrido L., Gaspar C., Geertsema R. E., Gerick D., Gerken L. L., Gersabeck E., Gersabeck M., Gershon T., Gerstel D., Giambastiani L., Gibson V., Giemza H. K., Gilman A. L., Giovannetti M., Gioventu A., Gironell G. P., Giugliano C., Gizdov K., Gkougkousis E. L., Gligorov V. V., Gobel C., Golobardes E., Golubkov D., Golutvin A., Gomes A., Fernandez G. S., Abrantes G. F., Goncerz M., Gong G., Gorbounov P., Gorelov I. V., Gotti C., Govorkova E., Grabowski J. P., Grammatico T., Cardoso G. L. A., Grauges E., Graverini E., Graziani G., Grecu A., Greeven L. M., Grieser N. A., Grillo L., Gromov S., Cazon G. B. R., Gu C., Guarise M., Guittiere M., Gunther P. A., Gushchin E., Guth A., Guz Y., Gys T., Hadavizadeh T., Haefeli G., Haen C., Haimberger J., Halewood-Leagas T., Hamilton P. M., Hammerich J. P., Han Q., Han X., Hancock T. H., Hansen E. B., Hansmann-Menzemer S., Harnew N., Harrison T., Hasse C., Hatch M., He J., Hecker M., Heijhoff K., Heinicke K., Henderson R. D. L., Hennequin A. M., Hennessy K., Henry L., Heuel J., Hicheur A., Hill D., Hilton M., Hollitt S. E., Hou R., Hou Y., Hu J., Hu W., Hu X., Huang W., Huang X., Hulsbergen W., Hunter R. J., Hushchyn M., Hutchcroft D., Hynds D., Ibis P., Idzik M., Ilin D., Ilten P., Inglessi A., Ishteev A., Ivshin K., Jacobsson R., Jage H., Jakobsen S., Jans E., Jashal B. K., Jawahery A., Jevtic V., Jiang X., John M., Johnson D., Jones C. R., Jones T. P., Jost B., Jurik N., Kadavath K. S. H., Kandybei S., Kang Y., Karacson M., Karpov M., Kautz J. W., Keizer F., Keller D. M., Kenzie M., Ketel T., Khanji B., Kharisova A., Kholodenko S., Kirn T., Kirsebom V. S., Kitouni O., Klaver S., Kleijne N., Klimaszewski K., Kmiec M. R., Koliiev S., Kondybayeva A., Konoplyannikov A., Kopciewicz P., Kopecna R., Koppenburg P., Korolev M., Kostiuk I., Kot O., Kotriakhova S., Kravchenko P., Kravchuk L., Krawczyk R. D., Kreps M., Kress F., Kretzschmar S., Krokovny P., Krupa W., Krzemien W., Kubat J., Kucharczyk M., Kudryavtsev V., Kuindersma H. S., Kunde G. J., Kvaratskheliya T., Lacarrere D., Lafferty G., Lai A., Lampis A., Lancierini D., Lane J. J., Lane R., Lanfranchi G., Langenbruch C., Langer J., Lantwin O., Latham T., Lazzari F., Le Gac R., Lee S. H., Lefevre R., Leflat A., Legotin S., Leroy O., Lesiak T., Leverington B., Li H., Li P., Li S., Li Y., Li Z., Liang X., Lin T., Lindner R., Lisovskyi V., Litvinov R., Liu G., Liu H., Liu Q., Liu S., Salvia L. A., Loi A., Castro L. J., Longstaff I., Lopes J. H., Solino L. S., Lovell G. H., Lu Y., Lucarelli C., Lucchesi D., Luchuk S., Martinez L. M., Lukashenko V., Luo Y., Lupato A., Luppi E., Lupton O., Lusiani A., Lyu X., Ma L., Ma R., Maccolini S., Machefert F., Maciuc F., Macko V., Mackowiak P., Maddrell-Mander S., Madejczyk O., Mohan M. L. R., Maev O., Maevskiy A., Majewski M. W., Malczewski J. J., Malde S., Malecki B., Malinin A., Maltsev T., Malygina H., Manca G., Mancinelli G., Manuzzi D., Marangotto D., Maratas J., Marchand J. F., Marconi U., Mariani S., Benito M. C., Marinangeli M., Marks J., Marshall A. M., Marshall P. J., Martelli G., Martellotti G., Martinazzoli L., Martinelli M., Santos M. D., Vidal M. F., Massafferri A., Materok M., Matev R., Mathad A., Matiunin V., Matteuzzi C., Mattioli K. R., Mauri A., Maurice E., Mauricio J., Mazurek M., McCann M., McConnell L., McGrath T. H., McHugh N. T., McNab A., McNulty R., Mead J. V., Meadows B., Meier G., Melnychuk D., Meloni S., Merk M., Merli A., Garcia M. L., Mikhasenko M., Milanes D. A., Millard E., Milovanovic M., Minard M. -N., Minotti A., Minzoni L., Mitchell S. E., Mitreska B., Mitzel D. S., Modden A., Mohammed R. A., Moise R. D., Mokhnenko S., Mombacher T., Monroy I. A., Monteil S., Morandin M., Morello G., Morello M. J., Moron J., Morris A. B., Morris A. G., Mountain R., Mu H., Muheim F., Mulder M., Muller D., Muller K., Murphy C. H., Murray D., Murta R., Muzzetto P., Naik P., Nakada T., Nandakumar R., Nanut T., Nasteva I., Needham M., Neri N., Neubert S., Neufeld N., Newcombe R., Niel E. M., Nieswand S., Nikitin N., Nolte N. S., Normand C., Nunez C., Oblakowska-Mucha A., Obraztsov V., Oeser T., O'Hanlon D. P., Okamura S., Oldeman R., Oliva F., Olivares M. E., Onderwater C. J. G., O'Neil R. H., Goicochea O. J. M., Ovsiannikova T., Owen P., Oyanguren A., Padeken K. O., Pagare B., Pais P. R., Pajero T., Palano A., Palutan M., Pan Y., Panshin G., Papanestis A., Pappagallo M., Pappalardo L. 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R., Simi G., Simone S., Skidmore N., Skwarnicki T., Slater M. W., Slazyk I., Smallwood J. C., Smeaton J. G., Smetkina A., Smith E., Smith M., Snoch A., Lavra S. L., Sokoloff M. D., Soler F. J. P., Solovev A., Solovyev I., De Almeida S. F. L., De Paula S. B., Spaan B., Norella S. E., Spradlin P., Stagni F., Stahl M., Stahl S., Stanislaus S., Steinkamp O., Stenyakin O., Stevens H., Stone S., Strekalina D., Suljik F., Sun J., Sun L., Sun Y., Svihra P., Swallow P. N., Swientek K., Szabelski A., Szumlak T., Szymanski M., Taneja S., Tanner A. R., Tat M. D., Terentev A., Teubert F., Thomas E., Thompson D. J. D., Thomson K. A., Tilquin H., Tisserand V., T'Jampens S., Tobin M., Tomassetti L., Tong X., Machado T. D., Tou D. Y., Trifonova E., Trilov S. M., Trippl C., Tuci G., Tully A., Tuning N., Ukleja A., Unverzagt D. J., Ursov E., Usachov A., Ustyuzhanin A., Uwer U., Vagner A., Vagnoni V., Valassi A., Valenti G., Canudas V. N., Beuzekom V. M., Dijk V. M., Hecke V. H., Herwijnen V. 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R., Simi G., Simone S., Skidmore N., Skwarnicki T., Slater M. W., Slazyk I., Smallwood J. C., Smeaton J. G., Smetkina A., Smith E., Smith M., Snoch A., Lavra S. L., Sokoloff M. D., Soler F. J. P., Solovev A., Solovyev I., De Almeida S. F. L., De Paula S. B., Spaan B., Norella S. E., Spradlin P., Stagni F., Stahl M., Stahl S., Stanislaus S., Steinkamp O., Stenyakin O., Stevens H., Stone S., Strekalina D., Suljik F., Sun J., Sun L., Sun Y., Svihra P., Swallow P. N., Swientek K., Szabelski A., Szumlak T., Szymanski M., Taneja S., Tanner A. R., Tat M. D., Terentev A., Teubert F., Thomas E., Thompson D. J. D., Thomson K. A., Tilquin H., Tisserand V., T'Jampens S., Tobin M., Tomassetti L., Tong X., Machado T. D., Tou D. Y., Trifonova E., Trilov S. M., Trippl C., Tuci G., Tully A., Tuning N., Ukleja A., Unverzagt D. J., Ursov E., Usachov A., Ustyuzhanin A., Uwer U., Vagner A., Vagnoni V., Valassi A., Valenti G., Canudas V. N., Beuzekom V. M., Dijk V. M., Hecke V. H., Herwijnen V. E., Veghel V. M., Vazquez Gomez R., Regueiro V. P., Sierra V. C., Vecchi S., Velthuis J. J., Veltri M., Venkateswaran A., Veronesi M., Vesterinen M., Vieira D., Vieites Diaz M., Viemann H., Vilasis-Cardona X., Vilella Figueras E., Villa A., Vincent P., Volle F. C., Bruch V. D., Vorobyev A., Vorobyev V., Voropaev N., Vos K., Waldi R., Walsh J., Wang C., Wang J., Wang M., Wang R., Wang Y., Wang Z., Ward J. A., Watson N. K., Weber S. G., Websdale D., Weisser C., Westhenry B. D. C., White D. J., Whitehead M., Wiederhold A. R., Wiedner D., Wilkinson G., Wilkinson M., Williams I., Williams M., Williams M. R. J., Wilson F. F., Wislicki W., Witek M., Witola L., Wormser G., Wotton S. A., Wu H., Wyllie K., Xiang Z., Xiao D., Xie Y., Xu A., Xu J., Xu L., Xu M., Xu Q., Xu Z., Yang D., Yang S., Yang Y., Yang Z., Yao Y., Yeomans L. E., Yin H., Yu J., Yuan X., Yushchenko O., Zaffaroni E., Zavertyaev M., Zdybal M., Zenaiev O., Zeng M., Zhang D., Zhang L., Zhang S., Zhang Y., Zharkova A., Zhelezov A., Zheng Y., Zhou T., Zhou X., Zhou Y., Zhovkovska V., Zhu X., Zhu Z., Zhukov V., Zonneveld J. B., Zou Q., Zucchelli S., Zuliani D., and Zunica G.
Abstract: Tests of lepton universality in B0?KS0„“+“- and B+?K*+“+“- decays where“ is either an electron or a muon are presented. The differential branching fractions of B0?KS0e+e- and B+?K*+e+e- decays are measured in intervals of the dilepton invariant mass squared. The measurements are performed using proton-proton collision data recorded by the LHCb experiment, corresponding to an integrated luminosity of 9 fb-1. The results are consistent with the standard model and previous tests of lepton universality in related decay modes. The first observation of B0?KS0e+e- and B+?K*+e+e- decays is reported.
Published: 2022

43. Evolving Trends in the Management of Acute Appendicitis During COVID-19 Waves: The ACIE Appy II Study

Author: Pata, F, Di Martino, M, Podda, M, Di Saverio, S, Ielpo, B, Pellino, G, Julio, A, Alshamrani, A, Alturkistani, A, Alghamdi, A, Almalki, A, Orengia, A, Kuvvetli, A, Pisanu, A, Smith, A, Trevino Figueroa, A, Nacion, A, Alhazmi, A, Bouhuwaish, A, Khalid, A, Alsufyani, A, Rubio, A, Bavikatte, A, Kumar, A, Jamiri, A, de San Ildefonso Pereira, A, Porcu, A, Sartori, A, Rocca, A, Sretenovic, A, Anselmo, A, De Luca, A, Charalabopoulos, A, Tzivanakis, A, Bandin, A, Najar, A, Frontali, A, Faisal, A, Roldan, A, Hamid, A, Andre, A, Minaya-Bravo, A, Das, A, Bondurri, A, Costanzi, A, Lucchi, A, Mihailescu, A, Police, A, Zuchini, A, Romano, A, Iossa, A, Chessa, A, Tromba, A, Castaldi, A, Brillantino, A, Ferronetti, A, Giuliani, A, Ramos-De la Medina, A, Tarasconi, A, Picciariello, A, Ioannidis, A, Leppaniemi, A, Rashid, A, Mitul, A, Mehraj, A, Laharwal, A, Iqbal, A, Liarakos, A, Marinis, A, de Andres-Asenjo, B, Matias-Garcia, B, De Simone, B, Creavin, B, Stubbs, B, Goh, B, Jovanovic, B, Sensi, B, Gazia, C, Cerdan, C, Diaz, C, Chacon, C, Yanez, C, Faro, C, Reinke, C, Dominguez, C, Paranjape, C, Thomas, C, Fung, C, De Lucia, C, Jennifer, C, Ovalle-Chao, C, Guerci, C, Kenington, C, Gica, C, Folliero, C, Varela, C, Popowich, D, Delogu, D, Zigiotto, D, Vinci, D, D'Antonio, D, Merlini, D, Moro-Valdezate, D, Keller, D, Nicolaescu, D, Sasia, D, Rodas, E, Linardoutsos, D, Russello, D, Najar-Castaneda, P, Stavrou, H, Rosso, E, Saladino, E, Ricciardi, E, Smith-Singares, E, Baili, E, Douka, E, Guaitoli, E, Francone, E, Vaterlini, E, Pierobon, E, Morales, E, Ros, E, Benzoni, E, Erdas, E, Pinotti, E, Colas-Ruiz, E, Laterza, E, Foianini, E, Cardamone, E, Licardie, E, Marino, F, Alsofyani, F, Qahtani, F, Khan, F, Maraska, F, Saliu, F, Madrid, F, Rosa, F, Luvisetto, F, Alconchel, F, Pareja-Ciuro, F, Neves, F, Agresta, F, Cordera, F, Pardo, F, Mendoza-Moreno, F, Munoz-Flores, F, Silvestri, F, Tropeano, F, Pecchini, F, Serio, F, Colombo, F, Di Marzo, F, Ferrara, F, Lancellotti, F, Litta, F, Martini, F, Roscio, F, Blanco-Antona, F, Barcenas, F, Schlottmann, F, Herrera-Almario, G, van Ramshorst, G, Gallo, G, Luglio, G, Kampouroglou, G, Papadopoulos, G, Arredondo, G, Calini, G, Formisano, G, Galiffa, G, Palini, G, Colucci, G, Pagano, G, Vanni, G, Pattacini, G, Gravante, G, Lisi, G, Bellanova, G, De Nobili, G, Necchi, G, Sinibaldi, G, Bacchiocchi, G, Bagaglini, G, Maggi, G, Izzo, G, Argenio, G, Brisinda, G, Esposito, G, Frazzetta, G, De Luca, G, Nigri, G, Sica, G, Martin-Martin, G, Ugon, G, Martinez-Mier, G, Machain Vega, G, Nari, G, Nikaj, H, Neri, I, San Roman, I, Fidoshev, I, Martinez, I, Negoi, I, Ortega, I, Vicente Rodriguez, I, Cornejo, I, Mora-Guzman, I, al-Najami, I, Romic, I, Balciscueta, I, Olivier, J, Lammel-Lindemann, J, Dziakova, J, Salinas, J, Jovanovic, J, Reyes, J, Salas, J, Diaz-Elizondo, J, Parreira, J, Bellido, J, Salamea, J, Martin del Olmo, J, Ordonez, J, Junaid, S, Davies, J, Sahnan, K, Bekele, K, Voon, K, Siragusa, L, Petagna, L, Ferrario, L, Giordano, L, Nespoli, L, Pio, L, Moletta, L, Curella, L, Taglietti, L, Bonavina, L, Conti, L, Perez-Sanchez, L, Cabrera Vargas, L, Sanchez-Guillen, L, Tallon-Aguilar, L, Khan, M, Spampinato, M, Viola, M, Malet, M, Angrisani, M, Calussi, M, Catarci, M, Giordano, M, Materazzo, M, Milone, M, Pellicciaro, M, Marino, M, Moreno Villamizar, M, Lolli, M, Bellini, M, Lemma, M, Chiarello, M, Montes-Manrique, M, Rodriguez-Lopez, M, Serradilla-Martin, M, Peter, M, Paniagua-Garcia-Senorans, M, Rutegard, M, Salo, M, Silveri, M, Veroux, M, Nardi, M, Rottoli, M, Tolonen, M, Pedraza Ciro, M, Zuluaga, M, Iacobone, M, Montuori, M, Ali, M, Garcia Dominguez, M, Paola, M, Piccoli, M, Campanelli, M, De Rosa, M, Manigrasso, M, Maruccia, M, Torre, M, Zuolo, M, Pera, M, Weerasekera, M, Prieto, M, Thway, M, Shaat, M, Azfar, M, Shalaby, M, Raza, M, Younis, M, Elhadi, M, Althomali, M, Al Amri, N, Dudi-Venkata, N, Alselaim, N, Smart, N, Trelles, N, Falco, N, Petrucciani, N, Antonacci, N, Cillara, N, Gica, N, Pecorelli, N, Tamini, N, Machairas, N, Feituri, N, Ortega Torrecilla, N, Avila Mercado, O, Alaamer, O, Irkorucu, O, Alsherif, O, Buonomi, O, Valles-Guerra, O, Ioannidis, O, Hernandez Palmas, O, Sanz Guadarrama, O, Bozbiyik, O, Rodrigues, P, Milito, P, Panaccio, P, Dorovinis, P, Prieto, P, Baroffio, P, Marsanic, P, Ajawin, P, Koh, P, Anoldo, P, Major, P, Alharthi, Q, Lui, R, Caruso, R, Brady, R, Rattan, R, Singhal, R, Angelico, R, Isernia, R, Tutino, R, Peltrini, R, Tejos, R, Fajardo, R, Elia, R, Morales-Conde, S, Benli, S, Fuentes, S, de las Casas, S, de Guzman Aragon, S, Vertaldi, S, Awad, S, Gentilli, S, Weckmann Lujan, S, Tayar, S, Althobaiti, S, Di Giovanni, S, Ghedan, S, Perez-Bertolez, S, Chiappetta, S, Delis, S, Scaringi, S, Cetinkunar, S, Kykalos, S, Muhammad Ali, S, Krivan, S, Fung, T, Delko, T, Nicolas Lopez, T, De Campos, T, Calderon Duque, T, Perra, T, Liakakos, T, Daskalakis, T, Koeter, T, Zalla, T, Gonzalez, T, Campagnaro, T, Oumar, T, Grossi, U, Sosa, V, Testa, V, Tomajer, V, Andriola, V, Tonini, V, Celentano, V, Voglino, V, Katta, V, Garcia Orozco, V, Turrado-Rodriguez, V, Visag-Castillo, V, Graham, V, Rachkov, V, Papagni, V, Vigorita, V, Jimenez Carneros, V, Bellato, V, Bechstein, W, Altinel, Y, Balciscueta, Z, Pata F., Di Martino M., Podda M., Di Saverio S., Ielpo B., Pellino G., Julio A., Alshamrani A., Alturkistani A., Alghamdi A., Almalki A., Orengia A., Kuvvetli A., Pisanu A., Smith A., Trevino Figueroa A. M., Nacion A. J., Alhazmi A., Bouhuwaish A., Khalid A., Alsufyani A., Rubio A. V., Bavikatte A., Kumar A., Jamiri A. -R., de San Ildefonso Pereira A., Porcu A., Sartori A., Rocca A., Sretenovic A., Anselmo A., De Luca A., Charalabopoulos A., Tzivanakis A., Bandin A., Najar A., Frontali A., Faisal A., Roldan A. M., Hamid A., Andre A., Minaya-Bravo A., Das A., Bondurri A., Costanzi A., Lucchi A., Mihailescu A., Police A., Zuchini A. M., Romano A., Iossa A., Chessa A., Tromba A., Castaldi A., Brillantino A., Ferronetti A., Giuliani A., Ramos-De la Medina A., Tarasconi A., Picciariello A., Ioannidis A., Leppaniemi A., Rashid A., Mitul A. R., Mehraj A., laharwal A., Iqbal A., Liarakos A., Marinis A., de Andres-Asenjo B., Matias-Garcia B., De Simone B., Creavin B., Stubbs B., Goh B., Jovanovic B., Sensi B., Gazia C., Cerdan C., Diaz C. J. G., Chacon C. P., Yanez C., Faro C. L., Reinke C., Dominguez C., Paranjape C., Thomas C., Fung C. C., De Lucia C., Jennifer C. H. F., Ovalle-Chao C., Guerci C., Kenington C., Gica C., Folliero C., Varela C., Popowich D., Delogu D., Zigiotto D., Vinci D., D'Antonio D., Merlini D. A., Merlini D., Moro-Valdezate D., Keller D., Nicolaescu D. C., Sasia D., Rodas E., Linardoutsos D., Russello D., Najar-Castaneda P. A., Stavrou H. G., Rosso E., Saladino E., Ricciardi E., Smith-Singares E., Baili E., Douka E., Guaitoli E., Francone E., Vaterlini E. M., Pierobon E. S., Morales E., Ros E. P., Benzoni E., Erdas E., Pinotti E., Colas-Ruiz E., Laterza E., Foianini E., Cardamone E., Licardie E., Marino F., Alsofyani F., Qahtani F., Khan F., Maraska F., Saliu F., Madrid F., Rosa F., Luvisetto F., Alconchel F., Pareja-Ciuro F., Neves F., Agresta F., Cordera F., Pardo F., Mendoza-Moreno F., Munoz-Flores F., Silvestri F. M., Tropeano F. P., Pecchini F., Serio F., Colombo F., Di Marzo F., Ferrara F., Lancellotti F., Litta F., Martini F., Roscio F., Blanco-Antona F., Barcenas F. J. Q., Schlottmann F., Herrera-Almario G., van Ramshorst G., Gallo G., Luglio G., Kampouroglou G., Papadopoulos G., Arredondo G., Calini G., Formisano G., Galiffa G., Palini G. M., Colucci G., Pagano G., Vanni G., Pattacini G. C., Gravante G., Lisi G., Bellanova G., De Nobili G., Necchi G. S., Sinibaldi G., Bacchiocchi G., Bagaglini G., Maggi G., Izzo G., Argenio G., Brisinda G., Esposito G., Frazzetta G., De Luca G. M., Nigri G., Sica G., Martin-Martin G., Ugon G. A., Martinez-Mier G., Machain Vega G. M., Nari G., Nikaj H., Neri I., San Roman I. A., Fidoshev I., Martinez I., Negoi I., Ortega I., Vicente Rodriguez I., Cornejo I., Mora-Guzman I., al-Najami I., Romic I., Balciscueta I., Olivier J., Lammel-Lindemann J., Dziakova J., Salinas J., Jovanovic J. P., Reyes J. A. S., Salas J., Diaz-Elizondo J. A., Parreira J. G., Bellido J., Salamea J., Martin del Olmo J. C., Ordonez J. M., Junaid S., Davies J., Sahnan K., Bekele K., Voon K., Siragusa L., Petagna L., Ferrario L., Giordano L., Nespoli L., Pio L., Moletta L., Curella L., Taglietti L., Bonavina L., Conti L., Perez-Sanchez L. E., Cabrera Vargas L. F., Sanchez-Guillen L., Tallon-Aguilar L., Khan M., Spampinato M. G., Viola M., Malet M. V., Angrisani M., Calussi M., Catarci M., Giordano M., Materazzo M., Milone M., Pellicciaro M., Marino M. V., Moreno Villamizar M. D., Lolli M. G., Bellini M. I., Lemma M., Chiarello M. M., Montes-Manrique M., Rodriguez-Lopez M., Serradilla-Martin M., Peter M., Paniagua-Garcia-Senorans M., Rutegard M., Salo M., Silveri M., Veroux M., Nardi M., Rottoli M., Tolonen M., Pedraza Ciro M., Zuluaga M., Iacobone M., Montuori M., Ali M., Garcia Dominguez M., Paola M. M., Piccoli M., Campanelli M., De Rosa M., Manigrasso M., Maruccia M., Torre M., Zuolo M., Pera M., Weerasekera M., Prieto M., Thway M. M., Shaat M., Azfar M., Shalaby M., Raza M. A., Younis M. U., Elhadi M., AlThomali M., Al Amri N., Dudi-Venkata N., Alselaim N., Smart N., Trelles N., Falco N., Petrucciani N., Antonacci N., Cillara N., Gica N., Pecorelli N., Tamini N., Machairas N., Feituri N., Ortega Torrecilla N., Avila Mercado O., AlAamer O., Irkorucu O., Alsherif O., Buonomi O. C., Valles-Guerra O., Ioannidis O., Hernandez Palmas O. I., Sanz Guadarrama O., Bozbiyik O., Rodrigues P., Milito P., Panaccio P., Dorovinis P., Prieto P., Baroffio P., Marsanic P., Ajawin P., Koh P. S., Anoldo P., Major P., Alharthi Q., Lui R., Caruso R., Brady R., Rattan R., Singhal R., Angelico R., Isernia R. M., Tutino R., Peltrini R., Tejos R., Fajardo R., Elia R., Morales-Conde S., Benli S., Fuentes S., de las Casas S. G., de Guzman Aragon S. O., Vertaldi S., Awad S., Gentilli S., Weckmann Lujan S. A., Tayar S., Althobaiti S., Di Giovanni S., Ghedan S., Perez-Bertolez S., Chiappetta S., Delis S., Scaringi S., Cetinkunar S., Kykalos S., Muhammad Ali S., Krivan S., Fung T. L. D., Delko T., Nicolas Lopez T., De Campos T., Calderon Duque T., Perra T., Liakakos T., Daskalakis T., Koeter T., Zalla T., Gonzalez T. E., Campagnaro T., Oumar T. A., Grossi U., Sosa V., Testa V., Tomajer V., Andriola V., Tonini V., Celentano V., Voglino V., Katta V. R., Garcia Orozco V. H., Turrado-Rodriguez V., Visag-Castillo V., Graham V., Rachkov V., Papagni V., Vigorita V., Jimenez Carneros V., Bellato V., Bechstein W., Altinel Y., Balciscueta Z., Pata, F, Di Martino, M, Podda, M, Di Saverio, S, Ielpo, B, Pellino, G, Julio, A, Alshamrani, A, Alturkistani, A, Alghamdi, A, Almalki, A, Orengia, A, Kuvvetli, A, Pisanu, A, Smith, A, Trevino Figueroa, A, Nacion, A, Alhazmi, A, Bouhuwaish, A, Khalid, A, Alsufyani, A, Rubio, A, Bavikatte, A, Kumar, A, Jamiri, A, de San Ildefonso Pereira, A, Porcu, A, Sartori, A, Rocca, A, Sretenovic, A, Anselmo, A, De Luca, A, Charalabopoulos, A, Tzivanakis, A, Bandin, A, Najar, A, Frontali, A, Faisal, A, Roldan, A, Hamid, A, Andre, A, Minaya-Bravo, A, Das, A, Bondurri, A, Costanzi, A, Lucchi, A, Mihailescu, A, Police, A, Zuchini, A, Romano, A, Iossa, A, Chessa, A, Tromba, A, Castaldi, A, Brillantino, A, Ferronetti, A, Giuliani, A, Ramos-De la Medina, A, Tarasconi, A, Picciariello, A, Ioannidis, A, Leppaniemi, A, Rashid, A, Mitul, A, Mehraj, A, Laharwal, A, Iqbal, A, Liarakos, A, Marinis, A, de Andres-Asenjo, B, Matias-Garcia, B, De Simone, B, Creavin, B, Stubbs, B, Goh, B, Jovanovic, B, Sensi, B, Gazia, C, Cerdan, C, Diaz, C, Chacon, C, Yanez, C, Faro, C, Reinke, C, Dominguez, C, Paranjape, C, Thomas, C, Fung, C, De Lucia, C, Jennifer, C, Ovalle-Chao, C, Guerci, C, Kenington, C, Gica, C, Folliero, C, Varela, C, Popowich, D, Delogu, D, Zigiotto, D, Vinci, D, D'Antonio, D, Merlini, D, Moro-Valdezate, D, Keller, D, Nicolaescu, D, Sasia, D, Rodas, E, Linardoutsos, D, Russello, D, Najar-Castaneda, P, Stavrou, H, Rosso, E, Saladino, E, Ricciardi, E, Smith-Singares, E, Baili, E, Douka, E, Guaitoli, E, Francone, E, Vaterlini, E, Pierobon, E, Morales, E, Ros, E, Benzoni, E, Erdas, E, Pinotti, E, Colas-Ruiz, E, Laterza, E, Foianini, E, Cardamone, E, Licardie, E, Marino, F, Alsofyani, F, Qahtani, F, Khan, F, Maraska, F, Saliu, F, Madrid, F, Rosa, F, Luvisetto, F, Alconchel, F, Pareja-Ciuro, F, Neves, F, Agresta, F, Cordera, F, Pardo, F, Mendoza-Moreno, F, Munoz-Flores, F, Silvestri, F, Tropeano, F, Pecchini, F, Serio, F, Colombo, F, Di Marzo, F, Ferrara, F, Lancellotti, F, Litta, F, Martini, F, Roscio, F, Blanco-Antona, F, Barcenas, F, Schlottmann, F, Herrera-Almario, G, van Ramshorst, G, Gallo, G, Luglio, G, Kampouroglou, G, Papadopoulos, G, Arredondo, G, Calini, G, Formisano, G, Galiffa, G, Palini, G, Colucci, G, Pagano, G, Vanni, G, Pattacini, G, Gravante, G, Lisi, G, Bellanova, G, De Nobili, G, Necchi, G, Sinibaldi, G, Bacchiocchi, G, Bagaglini, G, Maggi, G, Izzo, G, Argenio, G, Brisinda, G, Esposito, G, Frazzetta, G, De Luca, G, Nigri, G, Sica, G, Martin-Martin, G, Ugon, G, Martinez-Mier, G, Machain Vega, G, Nari, G, Nikaj, H, Neri, I, San Roman, I, Fidoshev, I, Martinez, I, Negoi, I, Ortega, I, Vicente Rodriguez, I, Cornejo, I, Mora-Guzman, I, al-Najami, I, Romic, I, Balciscueta, I, Olivier, J, Lammel-Lindemann, J, Dziakova, J, Salinas, J, Jovanovic, J, Reyes, J, Salas, J, Diaz-Elizondo, J, Parreira, J, Bellido, J, Salamea, J, Martin del Olmo, J, Ordonez, J, Junaid, S, Davies, J, Sahnan, K, Bekele, K, Voon, K, Siragusa, L, Petagna, L, Ferrario, L, Giordano, L, Nespoli, L, Pio, L, Moletta, L, Curella, L, Taglietti, L, Bonavina, L, Conti, L, Perez-Sanchez, L, Cabrera Vargas, L, Sanchez-Guillen, L, Tallon-Aguilar, L, Khan, M, Spampinato, M, Viola, M, Malet, M, Angrisani, M, Calussi, M, Catarci, M, Giordano, M, Materazzo, M, Milone, M, Pellicciaro, M, Marino, M, Moreno Villamizar, M, Lolli, M, Bellini, M, Lemma, M, Chiarello, M, Montes-Manrique, M, Rodriguez-Lopez, M, Serradilla-Martin, M, Peter, M, Paniagua-Garcia-Senorans, M, Rutegard, M, Salo, M, Silveri, M, Veroux, M, Nardi, M, Rottoli, M, Tolonen, M, Pedraza Ciro, M, Zuluaga, M, Iacobone, M, Montuori, M, Ali, M, Garcia Dominguez, M, Paola, M, Piccoli, M, Campanelli, M, De Rosa, M, Manigrasso, M, Maruccia, M, Torre, M, Zuolo, M, Pera, M, Weerasekera, M, Prieto, M, Thway, M, Shaat, M, Azfar, M, Shalaby, M, Raza, M, Younis, M, Elhadi, M, Althomali, M, Al Amri, N, Dudi-Venkata, N, Alselaim, N, Smart, N, Trelles, N, Falco, N, Petrucciani, N, Antonacci, N, Cillara, N, Gica, N, Pecorelli, N, Tamini, N, Machairas, N, Feituri, N, Ortega Torrecilla, N, Avila Mercado, O, Alaamer, O, Irkorucu, O, Alsherif, O, Buonomi, O, Valles-Guerra, O, Ioannidis, O, Hernandez Palmas, O, Sanz Guadarrama, O, Bozbiyik, O, Rodrigues, P, Milito, P, Panaccio, P, Dorovinis, P, Prieto, P, Baroffio, P, Marsanic, P, Ajawin, P, Koh, P, Anoldo, P, Major, P, Alharthi, Q, Lui, R, Caruso, R, Brady, R, Rattan, R, Singhal, R, Angelico, R, Isernia, R, Tutino, R, Peltrini, R, Tejos, R, Fajardo, R, Elia, R, Morales-Conde, S, Benli, S, Fuentes, S, de las Casas, S, de Guzman Aragon, S, Vertaldi, S, Awad, S, Gentilli, S, Weckmann Lujan, S, Tayar, S, Althobaiti, S, Di Giovanni, S, Ghedan, S, Perez-Bertolez, S, Chiappetta, S, Delis, S, Scaringi, S, Cetinkunar, S, Kykalos, S, Muhammad Ali, S, Krivan, S, Fung, T, Delko, T, Nicolas Lopez, T, De Campos, T, Calderon Duque, T, Perra, T, Liakakos, T, Daskalakis, T, Koeter, T, Zalla, T, Gonzalez, T, Campagnaro, T, Oumar, T, Grossi, U, Sosa, V, Testa, V, Tomajer, V, Andriola, V, Tonini, V, Celentano, V, Voglino, V, Katta, V, Garcia Orozco, V, Turrado-Rodriguez, V, Visag-Castillo, V, Graham, V, Rachkov, V, Papagni, V, Vigorita, V, Jimenez Carneros, V, Bellato, V, Bechstein, W, Altinel, Y, Balciscueta, Z, Pata F., Di Martino M., Podda M., Di Saverio S., Ielpo B., Pellino G., Julio A., Alshamrani A., Alturkistani A., Alghamdi A., Almalki A., Orengia A., Kuvvetli A., Pisanu A., Smith A., Trevino Figueroa A. M., Nacion A. J., Alhazmi A., Bouhuwaish A., Khalid A., Alsufyani A., Rubio A. V., Bavikatte A., Kumar A., Jamiri A. -R., de San Ildefonso Pereira A., Porcu A., Sartori A., Rocca A., Sretenovic A., Anselmo A., De Luca A., Charalabopoulos A., Tzivanakis A., Bandin A., Najar A., Frontali A., Faisal A., Roldan A. M., Hamid A., Andre A., Minaya-Bravo A., Das A., Bondurri A., Costanzi A., Lucchi A., Mihailescu A., Police A., Zuchini A. M., Romano A., Iossa A., Chessa A., Tromba A., Castaldi A., Brillantino A., Ferronetti A., Giuliani A., Ramos-De la Medina A., Tarasconi A., Picciariello A., Ioannidis A., Leppaniemi A., Rashid A., Mitul A. R., Mehraj A., laharwal A., Iqbal A., Liarakos A., Marinis A., de Andres-Asenjo B., Matias-Garcia B., De Simone B., Creavin B., Stubbs B., Goh B., Jovanovic B., Sensi B., Gazia C., Cerdan C., Diaz C. J. G., Chacon C. P., Yanez C., Faro C. L., Reinke C., Dominguez C., Paranjape C., Thomas C., Fung C. C., De Lucia C., Jennifer C. H. F., Ovalle-Chao C., Guerci C., Kenington C., Gica C., Folliero C., Varela C., Popowich D., Delogu D., Zigiotto D., Vinci D., D'Antonio D., Merlini D. A., Merlini D., Moro-Valdezate D., Keller D., Nicolaescu D. C., Sasia D., Rodas E., Linardoutsos D., Russello D., Najar-Castaneda P. A., Stavrou H. G., Rosso E., Saladino E., Ricciardi E., Smith-Singares E., Baili E., Douka E., Guaitoli E., Francone E., Vaterlini E. M., Pierobon E. S., Morales E., Ros E. P., Benzoni E., Erdas E., Pinotti E., Colas-Ruiz E., Laterza E., Foianini E., Cardamone E., Licardie E., Marino F., Alsofyani F., Qahtani F., Khan F., Maraska F., Saliu F., Madrid F., Rosa F., Luvisetto F., Alconchel F., Pareja-Ciuro F., Neves F., Agresta F., Cordera F., Pardo F., Mendoza-Moreno F., Munoz-Flores F., Silvestri F. M., Tropeano F. P., Pecchini F., Serio F., Colombo F., Di Marzo F., Ferrara F., Lancellotti F., Litta F., Martini F., Roscio F., Blanco-Antona F., Barcenas F. J. Q., Schlottmann F., Herrera-Almario G., van Ramshorst G., Gallo G., Luglio G., Kampouroglou G., Papadopoulos G., Arredondo G., Calini G., Formisano G., Galiffa G., Palini G. M., Colucci G., Pagano G., Vanni G., Pattacini G. C., Gravante G., Lisi G., Bellanova G., De Nobili G., Necchi G. S., Sinibaldi G., Bacchiocchi G., Bagaglini G., Maggi G., Izzo G., Argenio G., Brisinda G., Esposito G., Frazzetta G., De Luca G. M., Nigri G., Sica G., Martin-Martin G., Ugon G. A., Martinez-Mier G., Machain Vega G. M., Nari G., Nikaj H., Neri I., San Roman I. A., Fidoshev I., Martinez I., Negoi I., Ortega I., Vicente Rodriguez I., Cornejo I., Mora-Guzman I., al-Najami I., Romic I., Balciscueta I., Olivier J., Lammel-Lindemann J., Dziakova J., Salinas J., Jovanovic J. P., Reyes J. A. S., Salas J., Diaz-Elizondo J. A., Parreira J. G., Bellido J., Salamea J., Martin del Olmo J. C., Ordonez J. M., Junaid S., Davies J., Sahnan K., Bekele K., Voon K., Siragusa L., Petagna L., Ferrario L., Giordano L., Nespoli L., Pio L., Moletta L., Curella L., Taglietti L., Bonavina L., Conti L., Perez-Sanchez L. E., Cabrera Vargas L. F., Sanchez-Guillen L., Tallon-Aguilar L., Khan M., Spampinato M. G., Viola M., Malet M. V., Angrisani M., Calussi M., Catarci M., Giordano M., Materazzo M., Milone M., Pellicciaro M., Marino M. V., Moreno Villamizar M. D., Lolli M. G., Bellini M. I., Lemma M., Chiarello M. M., Montes-Manrique M., Rodriguez-Lopez M., Serradilla-Martin M., Peter M., Paniagua-Garcia-Senorans M., Rutegard M., Salo M., Silveri M., Veroux M., Nardi M., Rottoli M., Tolonen M., Pedraza Ciro M., Zuluaga M., Iacobone M., Montuori M., Ali M., Garcia Dominguez M., Paola M. M., Piccoli M., Campanelli M., De Rosa M., Manigrasso M., Maruccia M., Torre M., Zuolo M., Pera M., Weerasekera M., Prieto M., Thway M. M., Shaat M., Azfar M., Shalaby M., Raza M. A., Younis M. U., Elhadi M., AlThomali M., Al Amri N., Dudi-Venkata N., Alselaim N., Smart N., Trelles N., Falco N., Petrucciani N., Antonacci N., Cillara N., Gica N., Pecorelli N., Tamini N., Machairas N., Feituri N., Ortega Torrecilla N., Avila Mercado O., AlAamer O., Irkorucu O., Alsherif O., Buonomi O. C., Valles-Guerra O., Ioannidis O., Hernandez Palmas O. I., Sanz Guadarrama O., Bozbiyik O., Rodrigues P., Milito P., Panaccio P., Dorovinis P., Prieto P., Baroffio P., Marsanic P., Ajawin P., Koh P. S., Anoldo P., Major P., Alharthi Q., Lui R., Caruso R., Brady R., Rattan R., Singhal R., Angelico R., Isernia R. M., Tutino R., Peltrini R., Tejos R., Fajardo R., Elia R., Morales-Conde S., Benli S., Fuentes S., de las Casas S. G., de Guzman Aragon S. O., Vertaldi S., Awad S., Gentilli S., Weckmann Lujan S. A., Tayar S., Althobaiti S., Di Giovanni S., Ghedan S., Perez-Bertolez S., Chiappetta S., Delis S., Scaringi S., Cetinkunar S., Kykalos S., Muhammad Ali S., Krivan S., Fung T. L. D., Delko T., Nicolas Lopez T., De Campos T., Calderon Duque T., Perra T., Liakakos T., Daskalakis T., Koeter T., Zalla T., Gonzalez T. E., Campagnaro T., Oumar T. A., Grossi U., Sosa V., Testa V., Tomajer V., Andriola V., Tonini V., Celentano V., Voglino V., Katta V. R., Garcia Orozco V. H., Turrado-Rodriguez V., Visag-Castillo V., Graham V., Rachkov V., Papagni V., Vigorita V., Jimenez Carneros V., Bellato V., Bechstein W., Altinel Y., and Balciscueta Z.
Abstract: Background: In 2020, ACIE Appy study showed that COVID-19 pandemic heavily affected the management of patients with acute appendicitis (AA) worldwide, with an increased rate of non-operative management (NOM) strategies and a trend toward open surgery due to concern of virus transmission by laparoscopy and controversial recommendations on this issue. The aim of this study was to survey again the same group of surgeons to assess if any difference in management attitudes of AA had occurred in the later stages of the outbreak. Methods: From August 15 to September 30, 2021, an online questionnaire was sent to all 709 participants of the ACIE Appy study. The questionnaire included questions on personal protective equipment (PPE), local policies and screening for SARS-CoV-2 infection, NOM, surgical approach and disease presentations in 2021. The results were compared with the results from the previous study. Results: A total of 476 answers were collected (response rate 67.1%). Screening policies were significatively improved with most patients screened regardless of symptoms (89.5% vs. 37.4%) with PCR and antigenic test as the preferred test (74.1% vs. 26.3%). More patients tested positive before surgery and commercial systems were the preferred ones to filter smoke plumes during laparoscopy. Laparoscopic appendicectomy was the first option in the treatment of AA, with a declined use of NOM. Conclusion: Management of AA has improved in the last waves of pandemic. Increased evidence regarding SARS-COV-2 infection along with a timely healthcare systems response has been translated into tailored attitudes and a better care for patients with AA worldwide.
Published: 2022

44. Correction: Evolving Trends in the Management of Acute Appendicitis During COVID-19 Waves: The ACIE Appy II Study (World Journal of Surgery, (2022), 46, 9, (2021-2035), 10.1007/s00268-022-06649-z)

Author: Pata F., Pata, F, Di Martino, M, Podda, M, Di Saverio, S, Ielpo, B, Pellino, G, Julio, A, Alshamrani, A, Alturkistani, A, Alghamdi, A, Almalki, A, Orengia, A, Kuvvetli, A, Pisanu, A, Smith, A, Trevino Figueroa, A, Nacion, A, Alhazmi, A, Bouhuwaish, A, Khalid, A, Alsufyani, A, Rubio, A, Bavikatte, A, Kumar, A, Jamiri, A, de San Ildefonso Pereira, A, Porcu, A, Sartori, A, Rocca, A, Sretenovic, A, Anselmo, A, De Luca, A, Charalabopoulos, A, Tzivanakis, A, Bandin, A, Najar, A, Frontali, A, Faisal, A, Roldan, A, Hamid, A, Andre, A, Minaya-Bravo, A, Das, A, Bondurri, A, Costanzi, A, Lucchi, A, Mihailescu, A, Police, A, Zuchini, A, Romano, A, Iossa, A, Chessa, A, Tromba, A, Castaldi, A, Brillantino, A, Ferronetti, A, Giuliani, A, Ramos-De la Medina, A, Tarasconi, A, Picciariello, A, Ioannidis, A, Leppaniemi, A, Rashid, A, Mitul, A, Mehraj, A, Laharwal, A, Iqbal, A, Liarakos, A, Marinis, A, de Andres-Asenjo, B, Matias-Garcia, B, De Simone, B, Creavin, B, Stubbs, B, Goh, B, Jovanovic, B, Sensi, B, Gazia, C, Cerdan, C, Diaz, C, Chacon, C, Yanez, C, Faro, C, Reinke, C, Dominguez, C, Paranjape, C, Thomas, C, Fung, C, De Lucia, C, Jennifer, C, Ovalle-Chao, C, Guerci, C, Kenington, C, Gica, C, Folliero, C, Varela, C, Popowich, D, Delogu, D, Zigiotto, D, Vinci, D, D'Antonio, D, Merlini, D, Moro-Valdezate, D, Keller, D, Nicolaescu, D, Sasia, D, Rodas, E, Linardoutsos, D, Russello, D, Najar-Castaneda, P, Stavrou, H, Rosso, E, Saladino, E, Ricciardi, E, Smith-Singares, E, Baili, E, Douka, E, Guaitoli, E, Francone, E, Vaterlini, E, Pierobon, E, Morales, E, Ros, E, Benzoni, E, Erdas, E, Pinotti, E, Colas-Ruiz, E, Laterza, E, Foianini, E, Cardamone, E, Licardie, E, Marino, F, Alsofyani, F, Qahtani, F, Khan, F, Maraska, F, Saliu, F, Madrid, F, Rosa, F, Luvisetto, F, Alconchel, F, Pareja-Ciuro, F, Neves, F, Agresta, F, Cordera, F, Pardo, F, Mendoza-Moreno, F, Munoz-Flores, F, Silvestri, F, Tropeano, F, Pecchini, F, Serio, F, Colombo, F, Di Marzo, F, Ferrara, F, Lancellotti, F, Litta, F, Martini, F, Roscio, F, Blanco-Antona, F, Barcenas, F, Schlottmann, F, Herrera-Almario, G, van Ramshorst, G, Gallo, G, Luglio, G, Kampouroglou, G, Papadopoulos, G, Arredondo, G, Calini, G, Formisano, G, Galiffa, G, Palini, G, Colucci, G, Pagano, G, Vanni, G, Pattacini, G, Gravante, G, Lisi, G, Bellanova, G, De Nobili, G, Necchi, G, Sinibaldi, G, Bacchiocchi, G, Bagaglini, G, Maggi, G, Izzo, G, Argenio, G, Brisinda, G, Esposito, G, Frazzetta, G, De Luca, G, Nigri, G, Sica, G, Martin-Martin, G, Ugon, G, Martinez-Mier, G, Machain Vega, G, Nari, G, Nikaj, H, Neri, I, San Roman, I, Fidoshev, I, Martinez, I, Negoi, I, Ortega, I, Vicente Rodriguez, I, Cornejo, I, Mora-Guzman, I, al-Najami, I, Romic, I, Balciscueta, I, Olivier, J, Lammel-Lindemann, J, Dziakova, J, Salinas, J, Jovanovic, J, Reyes, J, Salas, J, Diaz-Elizondo, J, Parreira, J, Bellido, J, Salamea, J, Martin del Olmo, J, Ordonez, J, Junaid, S, Davies, J, Sahnan, K, Bekele, K, Voon, K, Siragusa, L, Petagna, L, Ferrario, L, Giordano, L, Nespoli, L, Pio, L, Moletta, L, Curella, L, Taglietti, L, Bonavina, L, Conti, L, Perez-Sanchez, L, Cabrera Vargas, L, Sanchez-Guillen, L, Tallon-Aguilar, L, Khan, M, Spampinato, M, Viola, M, Malet, M, Angrisani, M, Calussi, M, Catarci, M, Giordano, M, Materazzo, M, Milone, M, Pellicciaro, M, Marino, M, Moreno Villamizar, M, Lolli, M, Bellini, M, Lemma, M, Chiarello, M, Montes-Manrique, M, Rodriguez-Lopez, M, Serradilla-Martin, M, Peter, M, Paniagua-Garcia-Senorans, M, Rutegard, M, Salo, M, Silveri, M, Veroux, M, Nardi, M, Rottoli, M, Tolonen, M, Pedraza Ciro, M, Zuluaga, M, Iacobone, M, Montuori, M, Ali, M, Garcia Dominguez, M, Paola, M, Piccoli, M, Campanelli, M, De Rosa, M, Manigrasso, M, Maruccia, M, Torre, M, Zuolo, M, Pera, M, Weerasekera, M, Prieto, M, Thway, M, Shaat, M, Azfar, M, Shalaby, M, Raza, M, Younis, M, Elhadi, M, Althomali, M, Al Amri, N, Dudi-Venkata, N, Alselaim, N, Smart, N, Trelles, N, Falco, N, Petrucciani, N, Antonacci, N, Cillara, N, Gica, N, Pecorelli, N, Tamini, N, Machairas, N, Feituri, N, Ortega Torrecilla, N, Avila Mercado, O, Alaamer, O, Irkorucu, O, Alsherif, O, Buonomo, O, Valles-Guerra, O, Ioannidis, O, Hernandez Palmas, O, Sanz Guadarrama, O, Bozbiyik, O, Rodrigues, P, Milito, P, Panaccio, P, Dorovinis, P, Prieto, P, Baroffio, P, Marsanic, P, Ajawin, P, Koh, P, Anoldo, P, Major, P, Alharthi, Q, Lui, R, Caruso, R, Brady, R, Rattan, R, Singhal, R, Angelico, R, Isernia, R, Tutino, R, Peltrini, R, Tejos, R, Fajardo, R, Elia, R, Morales-Conde, S, Benli, S, Fuentes, S, de las Casas, S, de Guzman Aragon, S, Vertaldi, S, Awad, S, Gentilli, S, Weckmann Lujan, S, Tayar, S, Althobaiti, S, Di Giovanni, S, Ghedan, S, Perez-Bertolez, S, Chiappetta, S, Delis, S, Scaringi, S, Cetinkunar, S, Kykalos, S, Muhammad Ali, S, Krivan, S, Fung, T, Delko, T, Nicolas Lopez, T, De Campos, T, Calderon Duque, T, Perra, T, Liakakos, T, Daskalakis, T, Koeter, T, Zalla, T, Gonzalez, T, Campagnaro, T, Oumar, T, Grossi, U, Sosa, V, Testa, V, Tomajer, V, Andriola, V, Tonini, V, Celentano, V, Voglino, V, Katta, V, Garcia Orozco, V, Turrado-Rodriguez, V, Visag-Castillo, V, Graham, V, Rachkov, V, Papagni, V, Vigorita, V, Jimenez Carneros, V, Bellato, V, Bechstein, W, Altinel, Y, Balciscueta, Z, Pata F., Di Martino M., Podda M., Di Saverio S., Ielpo B., Pellino G., Julio A., Alshamrani A., Alturkistani A., Alghamdi A., Almalki A., Orengia A., Kuvvetli A., Pisanu A., Smith A., Trevino Figueroa A. M., Nacion A. J., Alhazmi A., Bouhuwaish A., Khalid A., Alsufyani A., Rubio A. V., Bavikatte A., Kumar A., Jamiri A. -R., de San Ildefonso Pereira A., Porcu A., Sartori A., Rocca A., Sretenovic A., Anselmo A., De Luca A., Charalabopoulos A., Tzivanakis A., Bandin A., Najar A., Frontali A., Faisal A., Roldan A. M., Hamid A., Andre A., Minaya-Bravo A., Das A., Bondurri A., Costanzi A., Lucchi A., Mihailescu A., Police A., Zuchini A. M., Romano A., Iossa A., Chessa A., Tromba A., Castaldi A., Brillantino A., Ferronetti A., Giuliani A., Ramos-De la Medina A., Tarasconi A., Picciariello A., Ioannidis A., Leppaniemi A., Rashid A., Mitul A. R., Mehraj A., laharwal A., Iqbal A., Liarakos A., Marinis A., de Andres-Asenjo B., Matias-Garcia B., De Simone B., Creavin B., Stubbs B., Goh B., Jovanovic B., Sensi B., Gazia C., Cerdan C., Diaz C. J. G., Chacon C. P., Yanez C., Faro C. L., Reinke C., Dominguez C., Paranjape C., Thomas C., Fung C. C., De Lucia C., Jennifer C. H. F., Ovalle-Chao C., Guerci C., Kenington C., Gica C., Folliero C., Varela C., Popowich D., Delogu D., Zigiotto D., Vinci D., D'Antonio D., Merlini D. A., Merlini D., Moro-Valdezate D., Keller D., Nicolaescu D. C., Sasia D., Rodas E., Linardoutsos D., Russello D., Najar-Castaneda P. A., Stavrou H. G., Rosso E., Saladino E., Ricciardi E., Smith-Singares E., Baili E., Douka E., Guaitoli E., Francone E., Vaterlini E. M., Pierobon E. S., Morales E., Ros E. P., Benzoni E., Erdas E., Pinotti E., Colas-Ruiz E., Laterza E., Foianini E., Cardamone E., Licardie E., Marino F., Alsofyani F., Qahtani F., Khan F., Maraska F., Saliu F., Madrid F., Rosa F., Luvisetto F., Alconchel F., Pareja-Ciuro F., Neves F., Agresta F., Cordera F., Pardo F., Mendoza-Moreno F., Munoz-Flores F., Silvestri F. M., Tropeano F. P., Pecchini F., Serio F., Colombo F., Di Marzo F., Ferrara F., Lancellotti F., Litta F., Martini F., Roscio F., Blanco-Antona F., Barcenas F. J. Q., Schlottmann F., Herrera-Almario G., van Ramshorst G., Gallo G., Luglio G., Kampouroglou G., Papadopoulos G., Arredondo G., Calini G., Formisano G., Galiffa G., Palini G. M., Colucci G., Pagano G., Vanni G., Pattacini G. C., Gravante G., Lisi G., Bellanova G., De Nobili G., Necchi G. S., Sinibaldi G., Bacchiocchi G., Bagaglini G., Maggi G., Izzo G., Argenio G., Brisinda G., Esposito G., Frazzetta G., De Luca G. M., Nigri G., Sica G., Martin-Martin G., Ugon G. A., Martinez-Mier G., Machain Vega G. M., Nari G., Nikaj H., Neri I., San Roman I. A., Fidoshev I., Martinez I., Negoi I., Ortega I., Vicente Rodriguez I., Cornejo I., Mora-Guzman I., al-Najami I., Romic I., Balciscueta I., Olivier J., Lammel-Lindemann J., Dziakova J., Salinas J., Jovanovic J. P., Reyes J. A. S., Salas J., Diaz-Elizondo J. A., Parreira J. G., Bellido J., Salamea J., Martin del Olmo J. C., Ordonez J. M., Junaid S., Davies J., Sahnan K., Bekele K., Voon K., Siragusa L., Petagna L., Ferrario L., Giordano L., Nespoli L., Pio L., Moletta L., Curella L., Taglietti L., Bonavina L., Conti L., Perez-Sanchez L. E., Cabrera Vargas L. F., Sanchez-Guillen L., Tallon-Aguilar L., Khan M., Spampinato M. G., Viola M., Malet M. V., Angrisani M., Calussi M., Catarci M., Giordano M., Materazzo M., Milone M., Pellicciaro M., Marino M. V., Moreno Villamizar M. D., Lolli M. G., Bellini M. I., Lemma M., Chiarello M. M., Montes-Manrique M., Rodriguez-Lopez M., Serradilla-Martin M., Peter M., Paniagua-Garcia-Senorans M., Rutegard M., Salo M., Silveri M., Veroux M., Nardi M., Rottoli M., Tolonen M., Pedraza Ciro M., Zuluaga M., Iacobone M., Montuori M., Ali M., Garcia Dominguez M., Paola M. M., Piccoli M., Campanelli M., De Rosa M., Manigrasso M., Maruccia M., Torre M., Zuolo M., Pera M., Weerasekera M., Prieto M., Thway M. M., Shaat M., Azfar M., Shalaby M., Raza M. A., Younis M. U., Elhadi M., AlThomali M., Al Amri N., Dudi-Venkata N., Alselaim N., Smart N., Trelles N., Falco N., Petrucciani N., Antonacci N., Cillara N., Gica N., Pecorelli N., Tamini N., Machairas N., Feituri N., Ortega Torrecilla N., Avila Mercado O., AlAamer O., Irkorucu O., Alsherif O., Buonomo O. C., Valles-Guerra O., Ioannidis O., Hernandez Palmas O. I., Sanz Guadarrama O., Bozbiyik O., Rodrigues P., Milito P., Panaccio P., Dorovinis P., Prieto P., Baroffio P., Marsanic P., Ajawin P., Koh P. S., Anoldo P., Major P., Alharthi Q., Lui R., Caruso R., Brady R., Rattan R., Singhal R., Angelico R., Isernia R. M., Tutino R., Peltrini R., Tejos R., Fajardo R., Elia R., Morales-Conde S., Benli S., Fuentes S., de las Casas S. G., de Guzman Aragon S. O., Vertaldi S., Awad S., Gentilli S., Weckmann Lujan S. A., Tayar S., Althobaiti S., Di Giovanni S., Ghedan S., Perez-Bertolez S., Chiappetta S., Delis S., Scaringi S., Cetinkunar S., Kykalos S., Muhammad Ali S., Krivan S., Fung T. L. D., Delko T., Nicolas Lopez T., De Campos T., Calderon Duque T., Perra T., Liakakos T., Daskalakis T., Koeter T., Zalla T., Gonzalez T. E., Campagnaro T., Oumar T. A., Grossi U., Sosa V., Testa V., Tomajer V., Andriola V., Tonini V., Celentano V., Voglino V., Katta V. R., Garcia Orozco V. H., Turrado-Rodriguez V., Visag-Castillo V., Graham V., Rachkov V., Papagni V., Vigorita V., Jimenez Carneros V., Bellato V., Bechstein W., Altinel Y., Balciscueta Z., Pata F., Pata, F, Di Martino, M, Podda, M, Di Saverio, S, Ielpo, B, Pellino, G, Julio, A, Alshamrani, A, Alturkistani, A, Alghamdi, A, Almalki, A, Orengia, A, Kuvvetli, A, Pisanu, A, Smith, A, Trevino Figueroa, A, Nacion, A, Alhazmi, A, Bouhuwaish, A, Khalid, A, Alsufyani, A, Rubio, A, Bavikatte, A, Kumar, A, Jamiri, A, de San Ildefonso Pereira, A, Porcu, A, Sartori, A, Rocca, A, Sretenovic, A, Anselmo, A, De Luca, A, Charalabopoulos, A, Tzivanakis, A, Bandin, A, Najar, A, Frontali, A, Faisal, A, Roldan, A, Hamid, A, Andre, A, Minaya-Bravo, A, Das, A, Bondurri, A, Costanzi, A, Lucchi, A, Mihailescu, A, Police, A, Zuchini, A, Romano, A, Iossa, A, Chessa, A, Tromba, A, Castaldi, A, Brillantino, A, Ferronetti, A, Giuliani, A, Ramos-De la Medina, A, Tarasconi, A, Picciariello, A, Ioannidis, A, Leppaniemi, A, Rashid, A, Mitul, A, Mehraj, A, Laharwal, A, Iqbal, A, Liarakos, A, Marinis, A, de Andres-Asenjo, B, Matias-Garcia, B, De Simone, B, Creavin, B, Stubbs, B, Goh, B, Jovanovic, B, Sensi, B, Gazia, C, Cerdan, C, Diaz, C, Chacon, C, Yanez, C, Faro, C, Reinke, C, Dominguez, C, Paranjape, C, Thomas, C, Fung, C, De Lucia, C, Jennifer, C, Ovalle-Chao, C, Guerci, C, Kenington, C, Gica, C, Folliero, C, Varela, C, Popowich, D, Delogu, D, Zigiotto, D, Vinci, D, D'Antonio, D, Merlini, D, Moro-Valdezate, D, Keller, D, Nicolaescu, D, Sasia, D, Rodas, E, Linardoutsos, D, Russello, D, Najar-Castaneda, P, Stavrou, H, Rosso, E, Saladino, E, Ricciardi, E, Smith-Singares, E, Baili, E, Douka, E, Guaitoli, E, Francone, E, Vaterlini, E, Pierobon, E, Morales, E, Ros, E, Benzoni, E, Erdas, E, Pinotti, E, Colas-Ruiz, E, Laterza, E, Foianini, E, Cardamone, E, Licardie, E, Marino, F, Alsofyani, F, Qahtani, F, Khan, F, Maraska, F, Saliu, F, Madrid, F, Rosa, F, Luvisetto, F, Alconchel, F, Pareja-Ciuro, F, Neves, F, Agresta, F, Cordera, F, Pardo, F, Mendoza-Moreno, F, Munoz-Flores, F, Silvestri, F, Tropeano, F, Pecchini, F, Serio, F, Colombo, F, Di Marzo, F, Ferrara, F, Lancellotti, F, Litta, F, Martini, F, Roscio, F, Blanco-Antona, F, Barcenas, F, Schlottmann, F, Herrera-Almario, G, van Ramshorst, G, Gallo, G, Luglio, G, Kampouroglou, G, Papadopoulos, G, Arredondo, G, Calini, G, Formisano, G, Galiffa, G, Palini, G, Colucci, G, Pagano, G, Vanni, G, Pattacini, G, Gravante, G, Lisi, G, Bellanova, G, De Nobili, G, Necchi, G, Sinibaldi, G, Bacchiocchi, G, Bagaglini, G, Maggi, G, Izzo, G, Argenio, G, Brisinda, G, Esposito, G, Frazzetta, G, De Luca, G, Nigri, G, Sica, G, Martin-Martin, G, Ugon, G, Martinez-Mier, G, Machain Vega, G, Nari, G, Nikaj, H, Neri, I, San Roman, I, Fidoshev, I, Martinez, I, Negoi, I, Ortega, I, Vicente Rodriguez, I, Cornejo, I, Mora-Guzman, I, al-Najami, I, Romic, I, Balciscueta, I, Olivier, J, Lammel-Lindemann, J, Dziakova, J, Salinas, J, Jovanovic, J, Reyes, J, Salas, J, Diaz-Elizondo, J, Parreira, J, Bellido, J, Salamea, J, Martin del Olmo, J, Ordonez, J, Junaid, S, Davies, J, Sahnan, K, Bekele, K, Voon, K, Siragusa, L, Petagna, L, Ferrario, L, Giordano, L, Nespoli, L, Pio, L, Moletta, L, Curella, L, Taglietti, L, Bonavina, L, Conti, L, Perez-Sanchez, L, Cabrera Vargas, L, Sanchez-Guillen, L, Tallon-Aguilar, L, Khan, M, Spampinato, M, Viola, M, Malet, M, Angrisani, M, Calussi, M, Catarci, M, Giordano, M, Materazzo, M, Milone, M, Pellicciaro, M, Marino, M, Moreno Villamizar, M, Lolli, M, Bellini, M, Lemma, M, Chiarello, M, Montes-Manrique, M, Rodriguez-Lopez, M, Serradilla-Martin, M, Peter, M, Paniagua-Garcia-Senorans, M, Rutegard, M, Salo, M, Silveri, M, Veroux, M, Nardi, M, Rottoli, M, Tolonen, M, Pedraza Ciro, M, Zuluaga, M, Iacobone, M, Montuori, M, Ali, M, Garcia Dominguez, M, Paola, M, Piccoli, M, Campanelli, M, De Rosa, M, Manigrasso, M, Maruccia, M, Torre, M, Zuolo, M, Pera, M, Weerasekera, M, Prieto, M, Thway, M, Shaat, M, Azfar, M, Shalaby, M, Raza, M, Younis, M, Elhadi, M, Althomali, M, Al Amri, N, Dudi-Venkata, N, Alselaim, N, Smart, N, Trelles, N, Falco, N, Petrucciani, N, Antonacci, N, Cillara, N, Gica, N, Pecorelli, N, Tamini, N, Machairas, N, Feituri, N, Ortega Torrecilla, N, Avila Mercado, O, Alaamer, O, Irkorucu, O, Alsherif, O, Buonomo, O, Valles-Guerra, O, Ioannidis, O, Hernandez Palmas, O, Sanz Guadarrama, O, Bozbiyik, O, Rodrigues, P, Milito, P, Panaccio, P, Dorovinis, P, Prieto, P, Baroffio, P, Marsanic, P, Ajawin, P, Koh, P, Anoldo, P, Major, P, Alharthi, Q, Lui, R, Caruso, R, Brady, R, Rattan, R, Singhal, R, Angelico, R, Isernia, R, Tutino, R, Peltrini, R, Tejos, R, Fajardo, R, Elia, R, Morales-Conde, S, Benli, S, Fuentes, S, de las Casas, S, de Guzman Aragon, S, Vertaldi, S, Awad, S, Gentilli, S, Weckmann Lujan, S, Tayar, S, Althobaiti, S, Di Giovanni, S, Ghedan, S, Perez-Bertolez, S, Chiappetta, S, Delis, S, Scaringi, S, Cetinkunar, S, Kykalos, S, Muhammad Ali, S, Krivan, S, Fung, T, Delko, T, Nicolas Lopez, T, De Campos, T, Calderon Duque, T, Perra, T, Liakakos, T, Daskalakis, T, Koeter, T, Zalla, T, Gonzalez, T, Campagnaro, T, Oumar, T, Grossi, U, Sosa, V, Testa, V, Tomajer, V, Andriola, V, Tonini, V, Celentano, V, Voglino, V, Katta, V, Garcia Orozco, V, Turrado-Rodriguez, V, Visag-Castillo, V, Graham, V, Rachkov, V, Papagni, V, Vigorita, V, Jimenez Carneros, V, Bellato, V, Bechstein, W, Altinel, Y, Balciscueta, Z, Pata F., Di Martino M., Podda M., Di Saverio S., Ielpo B., Pellino G., Julio A., Alshamrani A., Alturkistani A., Alghamdi A., Almalki A., Orengia A., Kuvvetli A., Pisanu A., Smith A., Trevino Figueroa A. M., Nacion A. J., Alhazmi A., Bouhuwaish A., Khalid A., Alsufyani A., Rubio A. V., Bavikatte A., Kumar A., Jamiri A. -R., de San Ildefonso Pereira A., Porcu A., Sartori A., Rocca A., Sretenovic A., Anselmo A., De Luca A., Charalabopoulos A., Tzivanakis A., Bandin A., Najar A., Frontali A., Faisal A., Roldan A. M., Hamid A., Andre A., Minaya-Bravo A., Das A., Bondurri A., Costanzi A., Lucchi A., Mihailescu A., Police A., Zuchini A. M., Romano A., Iossa A., Chessa A., Tromba A., Castaldi A., Brillantino A., Ferronetti A., Giuliani A., Ramos-De la Medina A., Tarasconi A., Picciariello A., Ioannidis A., Leppaniemi A., Rashid A., Mitul A. R., Mehraj A., laharwal A., Iqbal A., Liarakos A., Marinis A., de Andres-Asenjo B., Matias-Garcia B., De Simone B., Creavin B., Stubbs B., Goh B., Jovanovic B., Sensi B., Gazia C., Cerdan C., Diaz C. J. G., Chacon C. P., Yanez C., Faro C. L., Reinke C., Dominguez C., Paranjape C., Thomas C., Fung C. C., De Lucia C., Jennifer C. H. F., Ovalle-Chao C., Guerci C., Kenington C., Gica C., Folliero C., Varela C., Popowich D., Delogu D., Zigiotto D., Vinci D., D'Antonio D., Merlini D. A., Merlini D., Moro-Valdezate D., Keller D., Nicolaescu D. C., Sasia D., Rodas E., Linardoutsos D., Russello D., Najar-Castaneda P. A., Stavrou H. G., Rosso E., Saladino E., Ricciardi E., Smith-Singares E., Baili E., Douka E., Guaitoli E., Francone E., Vaterlini E. M., Pierobon E. S., Morales E., Ros E. P., Benzoni E., Erdas E., Pinotti E., Colas-Ruiz E., Laterza E., Foianini E., Cardamone E., Licardie E., Marino F., Alsofyani F., Qahtani F., Khan F., Maraska F., Saliu F., Madrid F., Rosa F., Luvisetto F., Alconchel F., Pareja-Ciuro F., Neves F., Agresta F., Cordera F., Pardo F., Mendoza-Moreno F., Munoz-Flores F., Silvestri F. M., Tropeano F. P., Pecchini F., Serio F., Colombo F., Di Marzo F., Ferrara F., Lancellotti F., Litta F., Martini F., Roscio F., Blanco-Antona F., Barcenas F. J. Q., Schlottmann F., Herrera-Almario G., van Ramshorst G., Gallo G., Luglio G., Kampouroglou G., Papadopoulos G., Arredondo G., Calini G., Formisano G., Galiffa G., Palini G. M., Colucci G., Pagano G., Vanni G., Pattacini G. C., Gravante G., Lisi G., Bellanova G., De Nobili G., Necchi G. S., Sinibaldi G., Bacchiocchi G., Bagaglini G., Maggi G., Izzo G., Argenio G., Brisinda G., Esposito G., Frazzetta G., De Luca G. M., Nigri G., Sica G., Martin-Martin G., Ugon G. A., Martinez-Mier G., Machain Vega G. M., Nari G., Nikaj H., Neri I., San Roman I. A., Fidoshev I., Martinez I., Negoi I., Ortega I., Vicente Rodriguez I., Cornejo I., Mora-Guzman I., al-Najami I., Romic I., Balciscueta I., Olivier J., Lammel-Lindemann J., Dziakova J., Salinas J., Jovanovic J. P., Reyes J. A. S., Salas J., Diaz-Elizondo J. A., Parreira J. G., Bellido J., Salamea J., Martin del Olmo J. C., Ordonez J. M., Junaid S., Davies J., Sahnan K., Bekele K., Voon K., Siragusa L., Petagna L., Ferrario L., Giordano L., Nespoli L., Pio L., Moletta L., Curella L., Taglietti L., Bonavina L., Conti L., Perez-Sanchez L. E., Cabrera Vargas L. F., Sanchez-Guillen L., Tallon-Aguilar L., Khan M., Spampinato M. G., Viola M., Malet M. V., Angrisani M., Calussi M., Catarci M., Giordano M., Materazzo M., Milone M., Pellicciaro M., Marino M. V., Moreno Villamizar M. D., Lolli M. G., Bellini M. I., Lemma M., Chiarello M. M., Montes-Manrique M., Rodriguez-Lopez M., Serradilla-Martin M., Peter M., Paniagua-Garcia-Senorans M., Rutegard M., Salo M., Silveri M., Veroux M., Nardi M., Rottoli M., Tolonen M., Pedraza Ciro M., Zuluaga M., Iacobone M., Montuori M., Ali M., Garcia Dominguez M., Paola M. M., Piccoli M., Campanelli M., De Rosa M., Manigrasso M., Maruccia M., Torre M., Zuolo M., Pera M., Weerasekera M., Prieto M., Thway M. M., Shaat M., Azfar M., Shalaby M., Raza M. A., Younis M. U., Elhadi M., AlThomali M., Al Amri N., Dudi-Venkata N., Alselaim N., Smart N., Trelles N., Falco N., Petrucciani N., Antonacci N., Cillara N., Gica N., Pecorelli N., Tamini N., Machairas N., Feituri N., Ortega Torrecilla N., Avila Mercado O., AlAamer O., Irkorucu O., Alsherif O., Buonomo O. C., Valles-Guerra O., Ioannidis O., Hernandez Palmas O. I., Sanz Guadarrama O., Bozbiyik O., Rodrigues P., Milito P., Panaccio P., Dorovinis P., Prieto P., Baroffio P., Marsanic P., Ajawin P., Koh P. S., Anoldo P., Major P., Alharthi Q., Lui R., Caruso R., Brady R., Rattan R., Singhal R., Angelico R., Isernia R. M., Tutino R., Peltrini R., Tejos R., Fajardo R., Elia R., Morales-Conde S., Benli S., Fuentes S., de las Casas S. G., de Guzman Aragon S. O., Vertaldi S., Awad S., Gentilli S., Weckmann Lujan S. A., Tayar S., Althobaiti S., Di Giovanni S., Ghedan S., Perez-Bertolez S., Chiappetta S., Delis S., Scaringi S., Cetinkunar S., Kykalos S., Muhammad Ali S., Krivan S., Fung T. L. D., Delko T., Nicolas Lopez T., De Campos T., Calderon Duque T., Perra T., Liakakos T., Daskalakis T., Koeter T., Zalla T., Gonzalez T. E., Campagnaro T., Oumar T. A., Grossi U., Sosa V., Testa V., Tomajer V., Andriola V., Tonini V., Celentano V., Voglino V., Katta V. R., Garcia Orozco V. H., Turrado-Rodriguez V., Visag-Castillo V., Graham V., Rachkov V., Papagni V., Vigorita V., Jimenez Carneros V., Bellato V., Bechstein W., Altinel Y., and Balciscueta Z.
Abstract: In the original online version of this article Oreste Claudio Buonomo’s family name was misspelled. The original article was corrected.
Published: 2022

45. Finite element analysis of masonry with application to arch bridges

Author: Baker, Martin G.
Subjects: 624, Civil engineering
Published: 1996

46. Pre- and post-prandial human scalp-EEG response to olfactory stimulation, using the brain electrical activity mapping technique

Author: Martin, G. Neil
Subjects: 150, BF Psychology
Abstract: Recent psychophysiological evidence indicates that Central Nervous System activity may be directly affected by olfactory stimulation. The present thesis sought to examine the relationship between the CNS and olfactory perception in a series of three EEG experiments employing food odours as stimuli. Further aims were to explore the effect of food ingestion on psychophysiological behaviour and on the hedonic rating of odours, and to investigate the relationship between odour's affective valence and EEG asymmetry. The areas relating to olfactory psychology are reviewed in detail. Experiment 1 investigated the effects of the ingestion of a lunchtime meal and ambient food odour on the auditory oddball evoked potential. Marked P2(K) amplitude changes were associated with exposure to odour. In most cases, decreases in amplitude were obtained depending on the nature of the stimulus. Effects of meal ingestion were also found for P2(X) with the lunch group showing greater amplitude during the second (post-prandial) session than the unfed control group. A three-way interaction was obtained with the controls showing a significant decrease in P2(X) amplitude during the presentation of the odour of vegetable in the second session in comparison to the lunch group. No effect of odour on P300 amplitude was found. Experiments 2 and 3 examined EEG response to a variety of different actual and synthetic food odorants. Both experiments showed alterations in the theta frequency (in experiment 2, exclusively so). The effect of meal ingestion was variable with controls showing greater alpha activity than the lunch group during the second session in one experiment, but the opposite effect in the other. No alpha-related EEG asymmetry for pleasant or unpleasant odours was found in experiment 2 although asymmetries were obtained for the theta frequency. In experiment 3, however, intra-hemispheric alpha asymmetry was obtained for the most pleasant odour. No effect of lunch was found for the postprandial psychometric rating of food odour suggesting that negative olfactory alliesthesia may not be as robust a phenomenon as gustatory alliesthesia. The hypothesis is put forward that the dominant EEG frequency for the processing of olfactory information is the theta frequency. It is suggested, however, that the effects found in this waveband may be related to the psychometric properties of the odour such as distractability and not due to the odour per se.
Published: 1994

47. Psychological aspects of recurrent abdominal pain of childhood

Author: Tighe, Martin G.
Subjects: 150, Psychology
Abstract: This study investigated the psychological factors associated with Recurrent Abdominal Pain of Childhood (R.A.P.). Eighty-three children, 48 with R.A.P. and 35 with appendicitis were tested. Four hypotheses ’clusters’, current in the psychosomatic literature, were examined: (a) Social maturity, adjustment, and individuation, which were measured by the Vineland Social Maturity Scale, the Bristol Social Adjustment Guide, and the Self-Identification Form of the Role Repertory Technique; (b) ’Cognitive Factors’, namely General Mental Ability, Field-Dependence, and Alexithymia. These were measured using the Raven’s Standard Progressive Matrices. The Children’s Embedded Figures Test. The Rod and Frame Test, the Self-Identification Form of the Role Repertory Technique and the Family Relations Test: (c) The presence of personality ’dimensions’ related to ’preferential conditioning’, in line with the Eysenckian explanation for psychosomatic disorders, was tested using The Junior Eysenck Personality Questionnaire; and (d) Family Dynamics, particularly the functioning of Minuchin et al.’s (1978) ’psychosomatic family’. This was examined using the Family Relations Test, and also a combination of present test results which it is suggested measure ’enmeshment’. It was expected: (i) that children with R.A.P. would be less socially mature, adjusted and ’individuated’ than controls; (ii) children with R.A.P. would be more ’field-dependent’ and ’alexithymie’ than controls; (iii) there would be no difference between the two groups on Junior Eysenck Personality Questionnaire performance; and, (iv) children with R.A.P., would belong to ’psychosomatic’ families. Using discriminant function analysis, only the combined measures of ’enmeshment’ were found to discriminate significantly between the groups, children with R.A.P. being more ’enmeshed’. Results are discussed in terms of Minuchin et al.’s model, and suggestions made for further research and intervention.
Published: 1994

48. Amplification of the PLAG-family genes—PLAGL1 and PLAGL2—is a key feature of the novel tumor type CNS embryonal tumor with PLAGL amplification

Author: Keck, Michaela Kristina, Sill, Martin, Wittmann, Andrea, Joshi, Piyush, Stichel, Damian, Beck, Pengbo, Okonechnikow, Konstantin, Sievers, Philipp, Wefers, Annika K., Roncaroli, Federico, Avula, Shivaram, McCabe, Martin G., Hayden, James T., Wesseling, Pieter, Øra, Ingrid, Nistér, Monica, Kranendonk, Mariëtte E.G., Tops, Bastiaan B.J., Zapotocky, Michal, Zamecnik, Josef, Vasiljevic, Alexandre, Fenouil, Tanguy, Meyronet, David, von Hoff, Katja, Schüller, Ulrich, Loiseau, Hugues, Figarella-Branger, Dominique, Kramm, Christof M., Sturm, Dominik, Scheie, David, Rauramaa, Tuomas, Pesola, Jouni, Gojo, Johannes, Haberler, Christine, Brandner, Sebastian, Jacques, Tom, Sexton Oates, Alexandra, Saffery, Richard, Koscielniak, Ewa, Baker, Suzanne J., Yip, Stephen, Snuderl, Matija, Ud Din, Nasir, Samuel, David, Schramm, Kathrin, Blattner-Johnson, Mirjam, Selt, Florian, Ecker, Jonas, Milde, Till, von Deimling, Andreas, Korshunov, Andrey, Perry, Arie, Pfister, Stefan M., Sahm, Felix, Solomon, David A., Jones, David T.W., Keck, Michaela Kristina, Sill, Martin, Wittmann, Andrea, Joshi, Piyush, Stichel, Damian, Beck, Pengbo, Okonechnikow, Konstantin, Sievers, Philipp, Wefers, Annika K., Roncaroli, Federico, Avula, Shivaram, McCabe, Martin G., Hayden, James T., Wesseling, Pieter, Øra, Ingrid, Nistér, Monica, Kranendonk, Mariëtte E.G., Tops, Bastiaan B.J., Zapotocky, Michal, Zamecnik, Josef, Vasiljevic, Alexandre, Fenouil, Tanguy, Meyronet, David, von Hoff, Katja, Schüller, Ulrich, Loiseau, Hugues, Figarella-Branger, Dominique, Kramm, Christof M., Sturm, Dominik, Scheie, David, Rauramaa, Tuomas, Pesola, Jouni, Gojo, Johannes, Haberler, Christine, Brandner, Sebastian, Jacques, Tom, Sexton Oates, Alexandra, Saffery, Richard, Koscielniak, Ewa, Baker, Suzanne J., Yip, Stephen, Snuderl, Matija, Ud Din, Nasir, Samuel, David, Schramm, Kathrin, Blattner-Johnson, Mirjam, Selt, Florian, Ecker, Jonas, Milde, Till, von Deimling, Andreas, Korshunov, Andrey, Perry, Arie, Pfister, Stefan M., Sahm, Felix, Solomon, David A., and Jones, David T.W.
Published: 2023

49. Supermassive black holes in merger-free galaxies have higher spins which are preferentially aligned with their host galaxy

Author: Beckmann, R S, Smethurst, R J, Simmons, B D, Coil, A, Dubois, Y, Garland, I L, Lintott, C J, Martin, G, Peirani, S, Pichon, C, Beckmann, R S, Smethurst, R J, Simmons, B D, Coil, A, Dubois, Y, Garland, I L, Lintott, C J, Martin, G, Peirani, S, and Pichon, C
Published: 2023

50. Terrestrial Very-Long-Baseline Atom Interferometry: Workshop Summary

Author: Abend, Sven, Allard, Baptiste, Alonso, Iván, Antoniadis, John, Araujo, Henrique, Arduini, Gianluigi, Arnold, Aidan, Aßmann, Tobias, Augst, Nadja, Badurina, Leonardo, Balaz, Antun, Banks, Hannah, Barone, Michele, Barsanti, Michele, Bassi, Angelo, Battelier, Baptiste, Baynham, Charles, Quentin, Beaufils, Belic, Aleksandar, Beniwal, Ankit, Bernabeu, Jose, Bertinelli, Francesco, Bertoldi, Andrea, Biswas, Ikbal Ahamed, Blas, Diego, Boegel, Patrick, Bogojevic, Aleksandar, Böhm, Jonas, Böhringer, Samuel, Bongs, Kai, Bouyer, Philippe, Brand, Christian, Brimis, Apostolos, Buchmueller, Oliver, Cacciapuoti, Luigi, Calatroni, Sergio, Canuel, Benjamin, Caprini, Chiara, Caramete, Ana, Caramete, Laurentiu, Carlesso, Matteo, Carlton, John, Casariego, Mateo, Charmandaris, Vassilis, Chen, Yu-Ao, Chiofalo, Maria Luisa, Cimbri, Alessia, Coleman, Jonathon, Constantin, Florin Lucian, Contaldi, Carlo, Cui, Yanou, Da Ros, Elisa, Davies, Gavin, Rosendo, Esther del Pino, Deppner, Christian, Derevianko, Andrei, de Rham, Claudia, De Roeck, Albert, Derr, Daniel, Di Pumpo, Fabio, Djordjevic, Goran, Dobrich, Babette, Domokos, Peter, Dornan, Peter, Doser, Michael, Drougakis, Giannis, Dunningham, Jacob, Duspayev, Alisher, Easo, Sajan, Eby, Joshua, Efremov, Maxim, Ekelof, Tord, Elertas, Gedminas, Ellis, John, Evans, David, Fadeev, Pavel, Fanì, Mattia, Fassi, Farida, Fattori, Marco, Fayet, Pierre, Felea, Daniel, Feng, Jie, Friedrich, Alexander, Fuchs, Elina, Gaaloul, Naceur, Gao, Dongfeng, Gardner, Susan, Garraway, Barry, Gauguet, Alexandre, Gerlach, Sandra, Gersemann, Matthias, Gibson, Valerie, Giese, Enno, Giudice, Gian Francesco, Glasbrenner, Eric, Gündogan, Mustafa, Haehnelt, Martin G., Hakulinen, Timo, Hammerer, Klemens, Hanımeli, Ekim Taylan, Harte, Tiffany, Hawkins, Leonie, Hees, Aurelien, Heise, Jaret, Henderson, Victoria, Herrmann, Sven, Hird, Thomas, Hogan, Jason, Holst, Bodil, Holynski, Michael, Hussain, Kamran, Janson, Gregor, Jeglič, Peter, Jelezko, Fedor, Kagan, Michael, Kalliokoski, Matti, Kasevich, Mark, Kehagias, Alex, Kilian, Eva, Koley, Soumen, Konrad, Bernd, Kopp, Joachim, Kornakov, Georgy, Kovachy, Tim, Krutzik, Markus, Kumar, Mukesh, Kumar, Pradeep, Laemmerzahl, Claus, Landsberg, Greg, Langlois, Mehdi, Lanigan, Bryony, Lellouch, Samuel, Leone, Bruno, Lafitte, Christophe Le Poncin, Lewicki, Marek, Leykauf, Bastian, Lezeik, Ali, Lombriser, Lucas, López, Luis, Asamar, Elias López, Monjaraz, Cristian López, Luciano, Gaetano, Mohammed, Mohammed Mahmoud, Maleknejad, Azadeh, Markus, Krutzik, Marteau, Jacques, Massonnet, Didier, Mazumdar, Anupam, McCabe, Christopher, Meister, Matthias, Menu, Jonathan, Messineo, Giuseppe, Micalizio, Salvatore, Millington, Peter, Milosevic, Milan, Mitchell, Jeremiah, Montero, Mario, Morley, Gavin, Müller, Jürgen, Müstecaplıoğlu, Özgür, Ni, Wei-Tou, Noller, Johannes, Odžak, Senad, Oi, Daniel, Omar, Yasser, Pahl, Julia, Paling, Sean, Pandey, Saurabh, Pappas, George, Pareek, Vinay, Pasatembou, Elizabeth, Pelucchi, Emanuele, Santos, Franck Pereira dos, Piest, Baptist, Pikovski, Igor, Pilaftsis, Apostolos, Plunkett, Robert, Poggiani, Rosa, Prevedelli, Marco, Puputti, Julia, Veettil, Vishnupriya Puthiya, Quenby, John, Rafelski, Johann, Rajendran, Surjeet, Rasel, Ernst Maria, Sfar, Haifa Rejeb, Reynaud, Serge, Richaud, Andrea, Rodzinka, Tangui, Roura, Albert, Rudolph, Jan, Sabulsky, Dylan, Safronova, Marianna, Santamaria, Luigi, Schilling, Manuel, Schkolnik, Vladimir, Schleich, Wolfgang, Schlippert, Dennis, Schneider, Ulrich, Schreck, Florian, Schubert, Christian, Schwersenz, Nico, Semakin, Aleksei, Sergijenko, Olga, Shao, Lijing, Shipsey, Ian, Singh, Rajeev, Smerzi, Augusto, Sopuerta, Carlos F., Spallicci, Alessandro, Stefanescu, Petruta, Stergioulas, Nikolaos, Ströhle, Jannik, Struckmann, Christian, Tentindo, Silvia, Throssell, Henry, Tino, Guglielmo M., Tinsley, Jonathan, Mircea, Ovidiu Tintareanu, Tkalčec, Kimberly, Tolley, Andrew, Tornatore, Vincenza, Torres-Orjuela, Alejandro, Treutlein, Philipp, Trombettoni, Andrea, Tsai, Yu-Dai, Ufrecht, Christian, Ulmer, Stefan, Valuch, Daniel, Vaskonen, Ville, Aceves, Veronica Vazquez, Vitanov, Nikolay, Vogt, Christian, von Klitzing, Wolf, Vukics, András, Walser, Reinhold, Wang, Jin, Warburton, Niels, Webber-Date, Alexander, Wenzlawski, André, Werner, Michael, Williams, Jason, Windapssinger, Patrcik, Wolf, Peter, Wörner, Lisa, Xuereb, André, Yahia, Mohamed, Cruzeiro, Emmanuel Zambrini, Zarei, Moslem, Zhan, Mingsheng, Zhou, Lin, Zupan, Jure, Zupanič, Erik, Abend, Sven, Allard, Baptiste, Alonso, Iván, Antoniadis, John, Araujo, Henrique, Arduini, Gianluigi, Arnold, Aidan, Aßmann, Tobias, Augst, Nadja, Badurina, Leonardo, Balaz, Antun, Banks, Hannah, Barone, Michele, Barsanti, Michele, Bassi, Angelo, Battelier, Baptiste, Baynham, Charles, Quentin, Beaufils, Belic, Aleksandar, Beniwal, Ankit, Bernabeu, Jose, Bertinelli, Francesco, Bertoldi, Andrea, Biswas, Ikbal Ahamed, Blas, Diego, Boegel, Patrick, Bogojevic, Aleksandar, Böhm, Jonas, Böhringer, Samuel, Bongs, Kai, Bouyer, Philippe, Brand, Christian, Brimis, Apostolos, Buchmueller, Oliver, Cacciapuoti, Luigi, Calatroni, Sergio, Canuel, Benjamin, Caprini, Chiara, Caramete, Ana, Caramete, Laurentiu, Carlesso, Matteo, Carlton, John, Casariego, Mateo, Charmandaris, Vassilis, Chen, Yu-Ao, Chiofalo, Maria Luisa, Cimbri, Alessia, Coleman, Jonathon, Constantin, Florin Lucian, Contaldi, Carlo, Cui, Yanou, Da Ros, Elisa, Davies, Gavin, Rosendo, Esther del Pino, Deppner, Christian, Derevianko, Andrei, de Rham, Claudia, De Roeck, Albert, Derr, Daniel, Di Pumpo, Fabio, Djordjevic, Goran, Dobrich, Babette, Domokos, Peter, Dornan, Peter, Doser, Michael, Drougakis, Giannis, Dunningham, Jacob, Duspayev, Alisher, Easo, Sajan, Eby, Joshua, Efremov, Maxim, Ekelof, Tord, Elertas, Gedminas, Ellis, John, Evans, David, Fadeev, Pavel, Fanì, Mattia, Fassi, Farida, Fattori, Marco, Fayet, Pierre, Felea, Daniel, Feng, Jie, Friedrich, Alexander, Fuchs, Elina, Gaaloul, Naceur, Gao, Dongfeng, Gardner, Susan, Garraway, Barry, Gauguet, Alexandre, Gerlach, Sandra, Gersemann, Matthias, Gibson, Valerie, Giese, Enno, Giudice, Gian Francesco, Glasbrenner, Eric, Gündogan, Mustafa, Haehnelt, Martin G., Hakulinen, Timo, Hammerer, Klemens, Hanımeli, Ekim Taylan, Harte, Tiffany, Hawkins, Leonie, Hees, Aurelien, Heise, Jaret, Henderson, Victoria, Herrmann, Sven, Hird, Thomas, Hogan, Jason, Holst, Bodil, Holynski, Michael, Hussain, Kamran, Janson, Gregor, Jeglič, Peter, Jelezko, Fedor, Kagan, Michael, Kalliokoski, Matti, Kasevich, Mark, Kehagias, Alex, Kilian, Eva, Koley, Soumen, Konrad, Bernd, Kopp, Joachim, Kornakov, Georgy, Kovachy, Tim, Krutzik, Markus, Kumar, Mukesh, Kumar, Pradeep, Laemmerzahl, Claus, Landsberg, Greg, Langlois, Mehdi, Lanigan, Bryony, Lellouch, Samuel, Leone, Bruno, Lafitte, Christophe Le Poncin, Lewicki, Marek, Leykauf, Bastian, Lezeik, Ali, Lombriser, Lucas, López, Luis, Asamar, Elias López, Monjaraz, Cristian López, Luciano, Gaetano, Mohammed, Mohammed Mahmoud, Maleknejad, Azadeh, Markus, Krutzik, Marteau, Jacques, Massonnet, Didier, Mazumdar, Anupam, McCabe, Christopher, Meister, Matthias, Menu, Jonathan, Messineo, Giuseppe, Micalizio, Salvatore, Millington, Peter, Milosevic, Milan, Mitchell, Jeremiah, Montero, Mario, Morley, Gavin, Müller, Jürgen, Müstecaplıoğlu, Özgür, Ni, Wei-Tou, Noller, Johannes, Odžak, Senad, Oi, Daniel, Omar, Yasser, Pahl, Julia, Paling, Sean, Pandey, Saurabh, Pappas, George, Pareek, Vinay, Pasatembou, Elizabeth, Pelucchi, Emanuele, Santos, Franck Pereira dos, Piest, Baptist, Pikovski, Igor, Pilaftsis, Apostolos, Plunkett, Robert, Poggiani, Rosa, Prevedelli, Marco, Puputti, Julia, Veettil, Vishnupriya Puthiya, Quenby, John, Rafelski, Johann, Rajendran, Surjeet, Rasel, Ernst Maria, Sfar, Haifa Rejeb, Reynaud, Serge, Richaud, Andrea, Rodzinka, Tangui, Roura, Albert, Rudolph, Jan, Sabulsky, Dylan, Safronova, Marianna, Santamaria, Luigi, Schilling, Manuel, Schkolnik, Vladimir, Schleich, Wolfgang, Schlippert, Dennis, Schneider, Ulrich, Schreck, Florian, Schubert, Christian, Schwersenz, Nico, Semakin, Aleksei, Sergijenko, Olga, Shao, Lijing, Shipsey, Ian, Singh, Rajeev, Smerzi, Augusto, Sopuerta, Carlos F., Spallicci, Alessandro, Stefanescu, Petruta, Stergioulas, Nikolaos, Ströhle, Jannik, Struckmann, Christian, Tentindo, Silvia, Throssell, Henry, Tino, Guglielmo M., Tinsley, Jonathan, Mircea, Ovidiu Tintareanu, Tkalčec, Kimberly, Tolley, Andrew, Tornatore, Vincenza, Torres-Orjuela, Alejandro, Treutlein, Philipp, Trombettoni, Andrea, Tsai, Yu-Dai, Ufrecht, Christian, Ulmer, Stefan, Valuch, Daniel, Vaskonen, Ville, Aceves, Veronica Vazquez, Vitanov, Nikolay, Vogt, Christian, von Klitzing, Wolf, Vukics, András, Walser, Reinhold, Wang, Jin, Warburton, Niels, Webber-Date, Alexander, Wenzlawski, André, Werner, Michael, Williams, Jason, Windapssinger, Patrcik, Wolf, Peter, Wörner, Lisa, Xuereb, André, Yahia, Mohamed, Cruzeiro, Emmanuel Zambrini, Zarei, Moslem, Zhan, Mingsheng, Zhou, Lin, Zupan, Jure, and Zupanič, Erik
Abstract: This document presents a summary of the 2023 Terrestrial Very-Long-Baseline Atom Interferometry Workshop hosted by CERN. The workshop brought together experts from around the world to discuss the exciting developments in large-scale atom interferometer (AI) prototypes and their potential for detecting ultralight dark matter and gravitational waves. The primary objective of the workshop was to lay the groundwork for an international TVLBAI proto-collaboration. This collaboration aims to unite researchers from different institutions to strategize and secure funding for terrestrial large-scale AI projects. The ultimate goal is to create a roadmap detailing the design and technology choices for one or more km-scale detectors, which will be operational in the mid-2030s. The key sections of this report present the physics case and technical challenges, together with a comprehensive overview of the discussions at the workshop together with the main conclusions., Comment: Summary of the Terrestrial Very-Long-Baseline Atom Interferometry Workshop held at CERN: https://indico.cern.ch/event/1208783
Published: 2023

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