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1. Higher burden of cardiometabolic and socioeconomic risk factors in women with type 2 diabetes: an analysis of the Glycemic Reduction Approaches in Diabetes (GRADE) baseline cohort

Author: C Wright, C Sanders, C Wilson, L Tucker, S Jones, S Douglass, C Patel, A Kumar, S Smith, A Ghosh, C Adams, R Hill, D Martin, J Hu, M Lee, N Patel, O Smith, J Cook, J Day, M Jackson, G Riera, P McGee, J Park, J Jiménez, S Yang, A Carlson, C Martin, H Liu, Y Li, A Krol, K Wright, S Golden, A Sood, J Martinez, D Sanchez, K Burton, Y Gao, S Martin, O Sanchez, C DeSouza, M Johnson, L Estrada, A Jackson, J Higgins, K Martin, J Craig, A Kuhn, L Ngo, Deborah J Wexler, R Chatterjee, E Walker, J Kerr, W Taylor, J Lim, M Perez, R Henry, Vanita R Aroda, R Fraser, Cyrus Desouza, E King, C Campbell, J González, E Diaz, P Zhang, J Marks, S Abraham, A Ross, M Khalid, T Young, J Myers, J Barzilay, B Chambers, G Montes, C Jensen, J McConnell, R Nelson, L Prosser, S Morton, M Curtis, P Wilson, L Young, M Fürst, S Warren, C Newman, S Kuo, N Rasouli, A Werner, L Morton, A Ghazi, M Salam, F Ismail-Beigi, P Kringas, C Baker, E Ellis, A Cherian, L Holloway, M Madden, B Hollis, G Fuller, B Steiner, K Stokes, R Ayala, T Lowe, K Chu, S Durán, D Dyer, A Alfred, J Leger, Nicole M Butera, T Hamilton, J Costello, E Burgess, R Garg, A Maxwell, C Stevens, W Ye, T Tran, L Fischer, M Hurtado, H Schneier, C Lund, R Lorch, M Mullen, J Bantle, K Arnold, D Wexler, A TURCHIN, MS Lee, D Howard, J Tejada, S Hernandez, Tasma Harindhanavudhi, E Schroeder, K Pham, S Kunkel, A Fagan, G Lord, H CHONG, A Smiley, E Debnam, H Petrovitch, M Bäckman, B Kauffman, V Jenkins, B Cramer, JP Crandall, MD McKee, S Behringer-Massera, J Brown-Friday, E Xhori, K Ballentine-Cargill, H Estrella, S Gonzalez de la torre, J Lukin, LS Phillips, D Olson, M Rhee, TS Raines, J Boers, C Gullett, M Maher-Albertelli, R Mungara, L Savoye, CA White, F Morehead, S Person, M Sibymon, S Tanukonda, A Balasubramanyam, R Gaba, P Hollander, E Roe, P Burt, K Chionh, C Falck-Ytter, L Sayyed Kassem, M Tiktin, T Kulow, KA Stancil, J Iacoboni, MV Kononets, L Colosimo, R Goland, J Pring, L Alfano, C Hausheer, K Gumpel, A Kirpitch, JB Green, H AbouAssi, MN Feinglos, J English Jones, RP Zimmer, BM Satterwhite, K Evans Kreider, CR Thacker, CN Mariash, KJ Mather, A Lteif, V Pirics, D Aguillar, S Hurt, R Bergenstal, T Martens, J Hyatt, H Willis, W Konerza, K Kleeberger, R Passi, S Fortmann, M Herson, K Mularski, H Glauber, J Prihoda, B Ash, C Carlson, PA Ramey, E Schield, B Torgrimson-Ojerio, E Panos, S Sahnow, K Bays, K Berame, D Ghioni, J Gluth, K Schell, J Criscola, C Friason, S Nazarov, N Rassouli, R Puttnam, B Ojoawo, C Sanders-Jones, Z El-Haqq, A Kolli, J Meigs, A Dushkin, G Rocchio, M Yepes, H Dulin, M Cayford, A DeManbey, M Hillard, N Thangthaeng, L Gurry, R Kochis, E Raymond, V Ripley, V Aroda, A Loveland, M Hamm, HJ Florez, WM Valencia, S Casula, L Oropesa-Gonzalez, L Hue, AK Riccio Veliz, R Nieto-Martinez, M Gutt, A Ahmann, D Aby-Daniel, F Joarder, V Morimoto, C Sprague, D Yamashita, N Cady, N Rivera-Eschright, P Kirchhoff, B Morales Gomez, J Adducci, A Goncharova, SH Hox, M Matwichyna, NO Bermudez, L Broadwater, RR Ishii, DS Hsia, WT Cefalu, FL Greenway, C Waguespack, N Haynes, A Thomassie, B Bourgeois, C Hazlett, S Mudaliar, S Boeder, J Pettus, D Garcia-Acosta, S Maggs, C DeLue, E Castro, J Krakoff, JM Curtis, T Killean, E Joshevama, K Tsingine, T Karshner, J Albu, FX Pi-Sunyer, S Frances, C Maggio, J Bastawrose, X Gong, MA Banerji, D Lorber, NM Brown, DH Josephson, LL Thomas, M Tsovian, MH Jacobson, MM Mishko, MS Kirkman, JB Buse, J Dostou, K Bergamo, A Goley, JF Largay, S Guarda, J Cuffee, D Culmer, H Almeida, S Coffer, L Kiker, K Josey, WT Garvey, A Agne, S McCullars, RM Cohen, MC Rogge, K Kersey, S Lipp, MB Vonder Meulen, C Underkofler, S Steiner, E Cline, WH Herman, R Pop-Busui, MH Tan, A Waltje, A Katona, L Goodhall, R Eggleston, K Whitley, S Bule, N Kessler, E LaSalle, ER Seaquist, A Bantle, T Harindhanavudhi, B Redmon, M Coe, M Mech, A Taddese, L Lesne, L Kuechenmeister, V Shivaswamy, AL Morales, K Seipel, J Eggert, R Tillson, DS Schade, A Adolphe, M Burge, E Duran-Valdez, P August, MG Rodriguez, O Griffith, A Naik, Barbara I Gulanski, Heidi Krause-Steinrauf, Judith H Lichtman, Jennifer B Green, Colleen E Suratt, Hiba AbouAssi, Andrew J Ahmann, E Gonzalez Hattery, A Ideozu, G McPhee, SA Khan, JB Kimpel, HM Ismail, ME Larkin, M Magee, A Ressing, L Manandhar, F Mwicigi, V Lagari-Libhaber, A Cuadot, YJ Kendal, B Veciana, G Fry, A Dragg, B Gildersleeve, J Arceneaux, M Pavlionis, A Stallings, S Machineni, AL Cherrington, MCR Lawson, C Adkins, T Onadeko, M Razzaghi, C Lyon, R Penaloza, WI Sivitz, LK Knosp, S Bojescu, S Burbach, A Bancroft, FA Jamaleddin Ahmad, D Hernandez McGinnis, B Pucchetti, E Scripsick, A Zamorano, RA DeFronzo, E Cersosimo, M Abdul-Ghani, C Triplitt, D Juarez, RI Garza, H Verastiqui, C Puckett, P Raskin, C Rhee, LF Jordan, S Sao, L Osornio Walker, L Schnurr-Breen, RB Kreymer, D Sturgess, KM Utzschneider, SE Kahn, L Alarcon-Casas Wright, EJ Boyko, EC Tsai, DL Trence, S Trikudanathan, BN Fattaleh, BK Montgomery, KM Atkinson, A Kozedub, T Concepcion, C Moak, N Prikhodko, S Rhothisen, TA Elasy, L Shackelford, R Goidel, N Hinkle, C Lovell, J Lipps Hogan, JB McGill, T Schweiger, S Kissel, C Recklein, MJ Clifton, W Tamborlane, A Camp, B Gulanski, SE Inzucchi, M Alguard, P Gatcomb, K Lessard, L Iannone, A Montosa, E Magenheimer, J Fradkin, HB Burch, AA Bremer, DM Nathan, JM Lachin, H Krause-Steinrauf, N Younes, I Bebu, N Butera, CJ Buys, MR Gramzinski, SD Hall, E Kazemi, E Legowski, C Suratt, M Tripputi, A Arey, J Bethepu, P Mangat Dhaliwal, E Mesimer, M Steffes, J Seegmiller, A Saenger, V Arends, D Gabrielson, T Conner, J Huminik, A Scrymgeour, EZ Soliman, Y Pokharel, ZM Zhang, L Keasler, S Hensley, R Mihalcea, DJ Min, V Perez-Rosas, K Resnicow, H Shao, J Luchsinger, S Assuras, E Groessl, F Sakha, N Hillery, BM Everett, I Abdouch, G Bahtiyar, P Brantley, FE Broyles, G Canaris, P Copeland, JJ Craine, WL Fein, A Gliwa, L Hope, R Meiners, V Meiners, H O’Neal, JE Park, A Sacerdote, E Sledge, L Soni, J Steppel-Reznik, B Brooks-Worrell, CS Hampe, JP Palmer, A Shojaie, L Doner Lotenberg, JM Gallivan, and DM Tuncer
Subjects: Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract: Introduction Type 2 diabetes mellitus (T2DM) is a powerful risk factor for cardiovascular disease (CVD), conferring a greater relative risk in women than men. We sought to examine sex differences in cardiometabolic risk factors and management in the contemporary cohort represented by the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE).Research design and methods GRADE enrolled 5047 participants (1837 women, 3210 men) with T2DM on metformin monotherapy at baseline. The current report is a cross-sectional analysis of baseline data collected July 2013 to August 2017.Results Compared with men, women had a higher mean body mass index (BMI), greater prevalence of severe obesity (BMI≥40 kg/m2), higher mean LDL cholesterol, greater prevalence of low HDL cholesterol, and were less likely to receive statin treatment and achieve target LDL, with a generally greater prevalence of these risk factors in younger women. Women with hypertension were equally likely to achieve blood pressure targets as men; however, women were less likely to receive ACE inhibitors or angiotensin receptor blockers. Women were more likely to be divorced, separated or widowed, and had fewer years of education and lower incomes.Conclusions This contemporary cohort demonstrates that women with T2DM continue to have a greater burden of cardiometabolic and socioeconomic risk factors than men, particularly younger women. Attention to these persisting disparities is needed to reduce the burden of CVD in women.Trial registration number ClinicalTrials.gov (NCT01794143)
Published: 2023
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2. WordVIS: A Color Worth A Thousand Words

Author: Khan, Umar, Saifullah, Agne, Stefan, Dengel, Andreas, and Ahmed, Sheraz
Subjects: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract: Document classification is considered a critical element in automated document processing systems. In recent years multi-modal approaches have become increasingly popular for document classification. Despite their improvements, these approaches are underutilized in the industry due to their requirement for a tremendous volume of training data and extensive computational power. In this paper, we attempt to address these issues by embedding textual features directly into the visual space, allowing lightweight image-based classifiers to achieve state-of-the-art results using small-scale datasets in document classification. To evaluate the efficacy of the visual features generated from our approach on limited data, we tested on the standard dataset Tobacco-3482. Our experiments show a tremendous improvement in image-based classifiers, achieving an improvement of 4.64% using ResNet50 with no document pre-training. It also sets a new record for the best accuracy of the Tobacco-3482 dataset with a score of 91.14% using the image-based DocXClassifier with no document pre-training. The simplicity of the approach, its resource requirements, and subsequent results provide a good prospect for its use in industrial use cases.
Published: 2024

3. Towards Measuring Sell Side Outcomes in Buy Side Marketplace Experiments using In-Experiment Bipartite Graph

Author: Pilkauskaitė, Vaiva, Gamper, Jevgenij, Giniūnaitė, Rasa, and Reklaitė, Agne
Subjects: Computer Science - Machine Learning, Statistics - Applications
Abstract: In this study, we evaluate causal inference estimators for online controlled bipartite graph experiments in a real marketplace setting. Our novel contribution is constructing a bipartite graph using in-experiment data, rather than relying on prior knowledge or historical data, the common approach in the literature published to date. We build the bipartite graph from various interactions between buyers and sellers in the marketplace, establishing a novel research direction at the intersection of bipartite experiments and mediation analysis. This approach is crucial for modern marketplaces aiming to evaluate seller-side causal effects in buyer-side experiments, or vice versa. We demonstrate our method using historical buyer-side experiments conducted at Vinted, the largest second-hand marketplace in Europe with over 80M users., Comment: 5 pages, 3 figures, this work was presented at the KDD 2024 Conference Undergraduate Consortium
Published: 2024

4. Latent Diffusion for Guided Document Table Generation

Author: Hamdani, Syed Jawwad Haider, Saifullah, Saifullah, Agne, Stefan, Dengel, Andreas, and Ahmed, Sheraz
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: Obtaining annotated table structure data for complex tables is a challenging task due to the inherent diversity and complexity of real-world document layouts. The scarcity of publicly available datasets with comprehensive annotations for intricate table structures hinders the development and evaluation of models designed for such scenarios. This research paper introduces a novel approach for generating annotated images for table structure by leveraging conditioned mask images of rows and columns through the application of latent diffusion models. The proposed method aims to enhance the quality of synthetic data used for training object detection models. Specifically, the study employs a conditioning mechanism to guide the generation of complex document table images, ensuring a realistic representation of table layouts. To evaluate the effectiveness of the generated data, we employ the popular YOLOv5 object detection model for training. The generated table images serve as valuable training samples, enriching the dataset with diverse table structures. The model is subsequently tested on the challenging pubtables-1m testset, a benchmark for table structure recognition in complex document layouts. Experimental results demonstrate that the introduced approach significantly improves the quality of synthetic data for training, leading to YOLOv5 models with enhanced performance. The mean Average Precision (mAP) values obtained on the pubtables-1m testset showcase results closely aligned with state-of-the-art methods. Furthermore, low FID results obtained on the synthetic data further validate the efficacy of the proposed methodology in generating annotated images for table structure., Comment: Accepted in ICDAR 2024
Published: 2024

5. StylusAI: Stylistic Adaptation for Robust German Handwritten Text Generation

Author: Riaz, Nauman, Saifullah, Saifullah, Agne, Stefan, Dengel, Andreas, and Ahmed, Sheraz
Subjects: Computer Science - Computation and Language
Abstract: In this study, we introduce StylusAI, a novel architecture leveraging diffusion models in the domain of handwriting style generation. StylusAI is specifically designed to adapt and integrate the stylistic nuances of one language's handwriting into another, particularly focusing on blending English handwriting styles into the context of the German writing system. This approach enables the generation of German text in English handwriting styles and German handwriting styles into English, enriching machine-generated handwriting diversity while ensuring that the generated text remains legible across both languages. To support the development and evaluation of StylusAI, we present the \lq{Deutscher Handschriften-Datensatz}\rq~(DHSD), a comprehensive dataset encompassing 37 distinct handwriting styles within the German language. This dataset provides a fundamental resource for training and benchmarking in the realm of handwritten text generation. Our results demonstrate that StylusAI not only introduces a new method for style adaptation in handwritten text generation but also surpasses existing models in generating handwriting samples that improve both text quality and stylistic fidelity, evidenced by its performance on the IAM database and our newly proposed DHSD. Thus, StylusAI represents a significant advancement in the field of handwriting style generation, offering promising avenues for future research and applications in cross-linguistic style adaptation for languages with similar scripts., Comment: Accepted in ICDAR 2024
Published: 2024

6. Asymptotic Analysis of Boundary Layers for Stokes Systems in Periodic Homogenization

Author: Agne, Moustapha
Subjects: Mathematics - Analysis of PDEs
Abstract: We investigate the asymptotics of boundary layers in periodic homogenization. The analysis is focused on a Stokes system with periodic coefficients and periodic Dirichlet data posed in the half-space $\{y\in \mathbb{R}^d: y\cdot n -s>0\}$. In particular, we establish the convergence of the velocity as $y\cdot n \rightarrow \infty$. We obtain this convergence for arbitrary normals $n\in \mathbb{S}^{d-1}$. Moreover, we build an asymptotic expansion of Poisson's kernel for the periodically oscillating Stokes operator in the half-space. The presence of the pressure and the incompressibility condition impose certain innovations. In particular, we provide a framework for the analysis of the boundary layers in homogenization that relies only on physical space techniques and not on techniques that rely on the quasiperiodic structure of the problem.
Published: 2024

7. DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification

Author: Saifullah, Saifullah, Agne, Stefan, Dengel, Andreas, and Ahmed, Sheraz
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: Deep learning (DL) has revolutionized the field of document image analysis, showcasing superhuman performance across a diverse set of tasks. However, the inherent black-box nature of deep learning models still presents a significant challenge to their safe and robust deployment in industry. Regrettably, while a plethora of research has been dedicated in recent years to the development of DL-powered document analysis systems, research addressing their transparency aspects has been relatively scarce. In this paper, we aim to bridge this research gap by introducing DocXplain, a novel model-agnostic explainability method specifically designed for generating high interpretability feature attribution maps for the task of document image classification. In particular, our approach involves independently segmenting the foreground and background features of the documents into different document elements and then ablating these elements to assign feature importance. We extensively evaluate our proposed approach in the context of document image classification, utilizing 4 different evaluation metrics, 2 widely recognized document benchmark datasets, and 10 state-of-the-art document image classification models. By conducting a thorough quantitative and qualitative analysis against 9 existing state-of-the-art attribution methods, we demonstrate the superiority of our approach in terms of both faithfulness and interpretability. To the best of the authors' knowledge, this work presents the first model-agnostic attribution-based explainability method specifically tailored for document images. We anticipate that our work will significantly contribute to advancing research on transparency, fairness, and robustness of document image classification models., Comment: Accepted in ICDAR 2024
Published: 2024

8. Is Less More? Quality, Quantity and Context in Idiom Processing with Natural Language Models

Author: Knietaite, Agne, Allsebrook, Adam, Minkov, Anton, Tomaszewski, Adam, Slinko, Norbert, Johnson, Richard, Pickard, Thomas, Phelps, Dylan, and Villavicencio, Aline
Subjects: Computer Science - Computation and Language, I.2.7
Abstract: Compositionality in language models presents a problem when processing idiomatic expressions, as their meaning often cannot be directly derived from their individual parts. Although fine-tuning and other optimization strategies can be used to improve representations of idiomatic expressions, this depends on the availability of relevant data. We present the Noun Compound Synonym Substitution in Books - NCSSB - datasets, which are created by substitution of synonyms of potentially idiomatic English noun compounds in public domain book texts. We explore the trade-off between data quantity and quality when training models for idiomaticity detection, in conjunction with contextual information obtained locally (from the surrounding sentences) or externally (through language resources). Performance on an idiomaticity detection task indicates that dataset quality is a stronger factor for context-enriched models, but that quantity also plays a role in models without context inclusion strategies., Comment: 14 pages, 10 figures. Presented at the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD 2024) https://multiword.org/mweud2024/
Published: 2024

9. Demagnetization dynamics after noncollinear dual optical excitation

Author: Parchenko, Sergii, Riepp, Matthias, Marotzke, Simon, Larsson, Agne Åberg, Kapaklis, Vassilios, Oppeneer, Peter M., and Scherz, Andreas
Subjects: Physics - Optics, Condensed Matter - Materials Science
Abstract: We explore the impact of optical excitation using two interfering ultrashort optical pulses on ultrafast magnetization dynamics. Our investigation focuses on Pt/Co/Pt multilayers and TbCo alloy samples, employing a dual pump approach. We observe significant variations in the dynamics of magnetization suppression and subsequent recovery when triggered with two optical pulses of the same polarization-essentially meeting conditions for interference. Conversely, dynamics triggered with cross-polarized pump beams exhibit expected similarity to that triggered with a single pulse. Delving into the underlying physical processes contributing to laser-induced demagnetization and recovery dynamics, we find that our current understanding cannot elucidate the observed trends. Consequently, we propose that optical excitation with interfering light possesses not previously acknowledged capacity to induce long-lasting alterations in the dynamics of angular momentum.
Published: 2024

10. Shape of the OGTT glucose response curve: relationship with β-cell function and differences by sex, race, and BMI in adults with early type 2 diabetes treated with metformin

Author: C Wright, C Wilson, L Tucker, S Jones, S Douglass, C Patel, A Kumar, S Smith, C Adams, R Hill, D Martin, M Lee, N Patel, J Cook, M Jackson, G Riera, E González, J Park, S Yang, A Carlson, C Martin, A Krol, A Sood, J Martinez, C DeSouza, M Johnson, L Estrada, A Jackson, K Martin, SA Khan, J Craig, A Kuhn, Deborah J Wexler, R Chatterjee, J Kerr, W Taylor, R Henry, R Fraser, Kieren J Mather, M Larkin, E King, E Diaz, J Marks, A Ross, M Khalid, J Barzilay, B Chambers, G Montes, C Jensen, J McConnell, R Nelson, S Morton, M Curtis, P Wilson, L Young, M Fürst, C Newman, S Kuo, N Rasouli, A Werner, A Ghazi, F Ismail-Beigi, P Kringas, C Baker, E Ellis, Philip Raskin, A Cherian, L Holloway, M Madden, B Hollis, G Fuller, B Steiner, K Stokes, T Lowe, K Chu, S Durán, A Alfred, John M Lachin, T Hamilton, J Costello, E Burgess, R Garg, C Stevens, T Tran, M Hurtado, H Schneier, R Lorch, M Mullen, J Bantle, K Arnold, D Wexler, Neda Rasouli, D Howard, J Tejada, S Hernandez, E Schroeder, S Kunkel, G Lord, A Smiley, E Debnam, H Petrovitch, B Kauffman, V Jenkins, B Cramer, Kristina M Utzschneider, Naji Younes, Joshua I Barzilay, Mary Ann Banerji, Robert M Cohen, Erica V Gonzalez, Faramarz Ismail-Beigi, Steven E Kahn, JP Crandall, MD McKee, S Behringer-Massera, J Brown-Friday, E Xhori, K Ballentine-Cargill, H Estrella, S Gonzalez de la torre, J Lukin, LS Phillips, D Olson, M Rhee, TS Raines, J Boers, C Gullett, M Maher-Albertelli, R Mungara, L Savoye, CA White, F Morehead, S Person, M Sibymon, S Tanukonda, A Balasubramanyam, R Gaba, P Hollander, E Roe, P Burt, K Chionh, C Falck-Ytter, L Sayyed Kassem, M Tiktin, T Kulow, KA Stancil, J Iacoboni, MV Kononets, G McPhee AMaxwell, L Colosimo, R Goland, J Pring, L Alfano, C Hausheer, K Gumpel, A Kirpitch, JB Green, H AbouAssi, MN Feinglos, J English Jones, RP Zimmer, BM Satterwhite, K Evans Kreider, CR Thacker, CN Mariash, KJ Mather, A Lteif, V Pirics, D Aguillar, S Hurt, R Bergenstal, T Martens, J Hyatt, H Willis, W Konerza, K Kleeberger, R Passi, S Fortmann, M Herson, K Mularski, H Glauber, J Prihoda, B Ash, C Carlson, PA Ramey, E Schield, B Torgrimson-Ojerio, E Panos, S Sahnow, K Bays, K Berame, D Ghioni, J Gluth, K Schell, J Criscola, C Friason, S Nazarov, N Rassouli, R Puttnam, B Ojoawo, C Sanders-Jones, Z El-Haqq, A Kolli, J Meigs, A Dushkin, G Rocchio, M Yepes, H Dulin, M Cayford, A DeManbey, M Hillard, N Thangthaeng, L Gurry, R Kochis, E Raymond, V Ripley, V Aroda, Ann Ressing, A Loveland, M Hamm, F Mofor, HJ Florez, WM Valencia, S Casula, L Oropesa-Gonzalez, L Hue, AK Riccio Veliz, R Nieto-Martinez, M Gutt, A Ahmann, D Aby-Daniel, F Joarder, V Morimoto, C Sprague, D Yamashita, N Cady, N Rivera-Eschright, P Kirchhoff, B Morales Gomez, J Adducci, A Goncharova, SH Hox, M Matwichyna, NO Bermudez, L Broadwater, RR Ishii, DS Hsia, WT Cefalu, FL Greenway, C Waguespack, N Haynes, A Thomassie, B Bourgeois, C Hazlett, S Mudaliar, S Boeder, J Pettus, D Garcia-Acosta, S Maggs, C DeLue, E Castro, J Krakoff, JM Curtis, T Killean, E Joshevama, K Tsingine, T Karshner, J Albu, FX Pi-Sunyer, S Frances, C Maggio, J Bastawrose, X Gong, MA Banerji, D Lorber, NM Brown, DH Josephson, LL Thomas, M Tsovian, MH Jacobson, MM Mishko, MS Kirkman, JB Buse, J Dostou, K Bergamo, A Goley, JF Largay, S Guarda, J Cuffee, D Culmer, H Almeida, S Coffer, L Kiker, K Josey, WT Garvey, A Cherrington, D Golson, MC Robertson, A Agne, S McCullars, RM Cohen, MC Rogge, K Kersey, S Lipp, MB Vonder Meulen, C Underkofler, S Steiner, W Sivitz, E Cline, L Knosp, WH Herman, R Pop-Busui, MH Tan, A Waltje, A Katona, L Goodhall, R Eggleston, K Whitley, S Bule, N Kessler, E LaSalle, ER Seaquist, A Bantle, T Harindhanavudhi, B Redmon, M Coe, M Mech, A Taddese, L Lesne, L Kuechenmeister, V Shivaswamy, AL Morales, K Seipel, J Eggert, R Tillson, DS Schade, A Adolphe, M Burge, E Duran-Valdez, P August, MG Rodriguez, JB Kimpel, and O Griffith
Subjects: Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract: Introduction The shape of the glucose curve during an oral glucose tolerance test (OGTT) reflects β-cell function in populations without diabetes but has not been as well studied in those with diabetes. A monophasic shape has been associated with higher risk of diabetes, while a biphasic pattern has been associated with lower risk. We sought to determine if phenotypic or metabolic characteristics were associated with glucose response curve shape in adults with type 2 diabetes treated with metformin alone.Research design and methods This is a cross-sectional analysis of 3108 metformin-treated adults with type 2 diabetes diagnosed
Published: 2021
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11. Effectiveness of ex ante honesty oaths in reducing dishonesty depends on content

Author: Zickfeld, Janis H., Ścigała, Karolina A., Elbæk, Christian T., Michael, John, Tønnesen, Mathilde H., Levy, Gabriel, Ayal, Shahar, Thielmann, Isabel, Nockur, Laila, Peer, Eyal, Capraro, Valerio, Barkan, Rachel, Bø, Simen, Bahník, Štěpán, Nosenzo, Daniele, Hertwig, Ralph, Mazar, Nina, Weiss, Alexa, Koessler, Ann-Kathrin, Montal-Rosenberg, Ronit, Hafenbrädl, Sebastian, Nielsen, Yngwie Asbjørn, Kanngiesser, Patricia, Schindler, Simon, Gerlach, Philipp, Köbis, Nils, Jacquemet, Nicolas, Vranka, Marek, Ariely, Dan, Martuza, Jareef Bin, Feldman, Yuval, Białek, Michał, Woike, Jan K., Rahwan, Zoe, Seidl, Alicia, Chou, Eileen, Kajackaite, Agne, Schudy, Simeon, Glogowsky, Ulrich, Czarna, Anna Z., Pfattheicher, Stefan, and Mitkidis, Panagiotis
Published: 2024
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12. A metric embedding kernel for live cell microscopy signaling patterns

Author: Aho, Layton, Winter, Mark, DeCarlo, Marc, Frismantiene, Agne, Blum, Yannick, Gagliardi, Paolo Armando, Pertz, Olivier, and Cohen, Andrew R.
Subjects: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract: Live cell microscopy captures 5-D $(x,y,z,channel,time)$ movies that display patterns of cellular motion and signaling dynamics. We present here a metric kernel function for spatiotemporal patterns of cell signaling dynamics in 5-D live cell microscopy movies unique in requiring no a priori knowledge of expected pattern dynamics, and no training data. The approach uses Kolmogorov complexity theory to compute a metric distance between movies and to measure the meaningful information among subsets of movies. Cell signaling kymographs store at each spatiotemporal cell centroid the cell signaling state, or a functional output such as velocity. Patterns of similarity are identified via the metric normalized compression distance (NCD). The NCD is a reproducing kernel for a Hilbert space that represents the input cell signaling kymographs as points in a low dimensional embedding that optimally captures the pattern similarity identified by the NCD throughout the space. The only parameter is the expected cell radii ($\mu m$). A new formulation of the cluster structure function optimally estimates the meaningful information captured by the embedding. Also presented is the cell signaling structure function (SSF), a Kolmogorov structure function that optimally measures cell signaling state as nuclear intensity w.r.t. surrounding cytoplasm, a significant improvement compared to the current state-of-the-art cytonuclear ratio. Results are presented quantifying the impact of ERK and AKT signaling between different oncogenic mutations, and by the relation between ERK signaling and cellular velocity patterns for movies of 2-D monolayers of human breast epithelial (MCF10A) cells, 3-D MCF10A spheroids under optogenetic manipulation of ERK, and human induced pluripotent stem cells.
Published: 2024

13. DocXclassifier: towards a robust and interpretable deep neural network for document image classification

Author: Saifullah, Saifullah, Agne, Stefan, Dengel, Andreas, and Ahmed, Sheraz
Published: 2024
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14. Towards privacy preserved document image classification: a comprehensive benchmark

Author: Saifullah, Saifullah, Mercier, Dominique, Agne, Stefan, Dengel, Andreas, and Ahmed, Sheraz
Published: 2024
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15. Optically Induced Ferromagnetic Order in a Ferrimagnet

Author: Parchenko, Sergii, Larsson, Agne Åberg, Kapaklis, Vassilios, Sharma, Sangeeta, and Scherz, Andreas
Subjects: Condensed Matter - Materials Science, Physics - Classical Physics
Abstract: The parallel or antiparallel arrangement of electron spins plays a pivotal role in determining the properties of a physical system. To meet the demands for innovative technological solutions, extensive efforts have been dedicated to exploring effective methods for controlling and manipulating this arrangement [1]. Among various techniques, ultrashort laser pulses have emerged as an exceptionally efficient tool to influence magnetic order. Ultrafast suppression of the magnetic order [2,3], all-optical magnetization switching [4, 5, 6, 7], and light-induced magnetic phase transitions [8] are just a few notable examples. However, the transient nature of light-induced changes in the magnetic state has been a significant limitation, hindering their practical implementation. In this study, we demonstrate that infrared ultrashort laser pulses can induce a ferromagnetic arrangement of magnetic moments in an amorphous TbCo alloy, a material that exhibits ferrimagnetism under equilibrium conditions. Strikingly, the observed changes in the magnetic properties persist for significantly longer durations than any previously reported findings. Our results reveal that ultrashort optical pulses can generate materials with identical chemical composition and structural state but entirely distinct magnetic arrangements, leading to unique magnetic properties. This breakthrough discovery marks a new era in light-driven control of matter, offering the exciting potential to create materials with properties that were once considered unattainable.
Published: 2023

16. PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction

Author: Saifullah, Saifullah, Agne, Stefan, Dengel, Andreas, and Ahmed, Sheraz
Subjects: Computer Science - Computation and Language
Abstract: In this paper, we introduce strategies for developing private Key Information Extraction (KIE) systems by leveraging large pretrained document foundation models in conjunction with differential privacy (DP), federated learning (FL), and Differentially Private Federated Learning (DP-FL). Through extensive experimentation on six benchmark datasets (FUNSD, CORD, SROIE, WildReceipts, XFUND, and DOCILE), we demonstrate that large document foundation models can be effectively fine-tuned for the KIE task under private settings to achieve adequate performance while maintaining strong privacy guarantees. Moreover, by thoroughly analyzing the impact of various training and model parameters on model performance, we propose simple yet effective guidelines for achieving an optimal privacy-utility trade-off for the KIE task under global DP. Finally, we introduce FeAm-DP, a novel DP-FL algorithm that enables efficiently upscaling global DP from a standalone context to a multi-client federated environment. We conduct a comprehensive evaluation of the algorithm across various client and privacy settings, and demonstrate its capability to achieve comparable performance and privacy guarantees to standalone DP, even when accommodating an increasing number of participating clients. Overall, our study offers valuable insights into the development of private KIE systems, and highlights the potential of document foundation models for privacy-preserved Document AI applications. To the best of authors' knowledge, this is the first work that explores privacy preserved document KIE using document foundation models.
Published: 2023

17. Why models underestimate West African tropical forest primary productivity

Author: Zhang-Zheng, Huanyuan, Deng, Xiongjie, Aguirre-Gutiérrez, Jesús, Stocker, Benjamin D., Thomson, Eleanor, Ding, Ruijie, Adu-Bredu, Stephen, Duah-Gyamfi, Akwasi, Gvozdevaite, Agne, Moore, Sam, Oliveras Menor, Imma, Prentice, I. Colin, and Malhi, Yadvinder
Published: 2024
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18. In-depth analysis of transcriptomes in ovarian cortical follicles from children and adults reveals interfollicular heterogeneity

Author: Rooda, Ilmatar, Hassan, Jasmin, Hao, Jie, Wagner, Magdalena, Moussaud-Lamodière, Elisabeth, Jääger, Kersti, Otala, Marjut, Knuus, Katri, Lindskog, Cecilia, Papaikonomou, Kiriaki, Gidlöf, Sebastian, Langenskiöld, Cecilia, Vogt, Hartmut, Frisk, Per, Malmros, Johan, Tuuri, Timo, Salumets, Andres, Jahnukainen, Kirsi, Velthut-Meikas, Agne, and Damdimopoulou, Pauliina
Published: 2024
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19. The profile of steroid hormones in human fetal and adult ovaries

Author: Vazakidou, Paraskevi, Evangelista, Sara, Li, Tianyi, Lecante, Laetitia L., Rosenberg, Kristine, Koekkoek, Jacco, Salumets, Andres, Velthut-Meikas, Agne, Damdimopoulou, Pauliina, Mazaud-Guittot, Séverine, Fowler, Paul A., Leonards, Pim E.G., and van Duursen, Majorie B.M.
Published: 2024
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20. Contrasting carbon cycle along tropical forest aridity gradients in West Africa and Amazonia

Author: Zhang-Zheng, Huanyuan, Adu-Bredu, Stephen, Duah-Gyamfi, Akwasi, Moore, Sam, Addo-Danso, Shalom D., Amissah, Lucy, Valentini, Riccardo, Djagbletey, Gloria, Anim-Adjei, Kelvin, Quansah, John, Sarpong, Bernice, Owusu-Afriyie, Kennedy, Gvozdevaite, Agne, Tang, Minxue, Ruiz-Jaen, Maria C., Ibrahim, Forzia, Girardin, Cécile A. J., Rifai, Sami, Dahlsjö, Cecilia A. L., Riutta, Terhi, Deng, Xiongjie, Sun, Yuheng, Prentice, Iain Colin, Oliveras Menor, Imma, and Malhi, Yadvinder
Published: 2024
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21. The association of E2F1 and E2F2 single nucleotide polymorphisms with laryngeal squamous cell carcinoma pathomorphological features

Author: Jakstas, Tomas, Bartnykaite, Agne, Padervinskis, Evaldas, Vegiene, Aurelija, Juozaityte, Elona, Uloza, Virgilijus, and Ugenskiene, Rasa
Published: 2024
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22. Wide-spread dispersal in a deep-sea brooding polychaete: the role of natural history collections in assessing the distribution in quill worms (Onuphidae, Annelida)

Author: Budaeva, Nataliya, Agne, Stefanie, Ribeiro, Pedro A., Straube, Nicolas, Preick, Michaela, and Hofreiter, Michael
Published: 2024
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23. Impact of the COVID-19 Pandemic on an Aviation Company: Change Management Approach

Author: Ilona Skackauskiene, Virginija Leonaviciute, and Agne Sakalauske
Abstract: Aviation is one of the most severely affected global industries by the COVID-19 pandemic, including passenger traffic, airport workforce, and operational processes: the total number of seats offered by airlines in 2020 decreased by about 50%, the number of passengers fell by about 60%, and this resulted in an estimated 371 billion USD loss in 2020 and 324 billion USD loss in 2021. Aviation industry organisations, including Lithuanian Airports, had to urgently adapt their operations and use the new opportunities to overcome the COVID-19 crisis and maintain a competitive advantage. In order to find out what measures have been taken to stabilise the situation, the empirical evaluation was conducted using methods of case study, statistical data analysis, content analysis and semi-structured interviews. The research results suggest that many obstacles to successful change and adaptation in the aviation sector can be overcome by the ability to respond quickly to changes in the external environment: several recovery scenarios, based on business best practices and examples, prepared in advance, enabled Lithuanian Airports to restore business operations.
Published: 2024
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24. Plasmon-enhanced optical control of magnetism at the nanoscale via the inverse Faraday effect

Author: Parchenko, Sergii, Hofhuis, Kevin, Ciuciulkaite, Agne, Kapaklis, Vassilios, Scagnoli, Valerio, Heyderman, Laura, and Kleibert, Armin
Subjects: Physics - Optics, Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
Abstract: The relationship between magnetization and light has been the subject of intensive research for the past century, focusing on the impact of magnetic moments on light polarization. Conversely, the manipulation of magnetism through polarized light is being investigated to achieve all-optical control of magnetism in spintronics. While remarkable discoveries such as single pulse all-optical switching of the magnetization in thin films and sub-micrometer structures have been reported, the demonstration of local optical control of magnetism at the nanoscale has remained elusive. Here, we show that exciting gold nanodiscs with circularly polarized femtosecond laser pulses leads to the generation of sizeable local magnetic fields that enable ultrafast local control of the magnetization of an adjacent magnetic film. In addition, we find that the highest magnetic fields are generated when exciting the sample at a wavelength larger than that of the actual plasmonic resonance of the gold nanodiscs, so avoiding undesired heating effects due to absorption. Our study paves the way for light-driven control in nanoscale spintronic devices and provides important insights into the generation of magnetic fields in plasmonic nanostructures.
Published: 2023
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25. Investigating the impact of vitrification on bovine ovarian tissue morphology, follicle survival, and transcriptomic signature

Author: Deligiannis, Spyridon P., Kask, Keiu, Modhukur, Vijayachitra, Boskovic, Nina, Ivask, Marilin, Jaakma, Ülle, Damdimopoulou, Pauliina, Tuuri, Timo, Velthut-Meikas, Agne, and Salumets, Andres
Published: 2024
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26. Relationship Between Severity of Ischemia and Coronary Artery Disease for Different Stress Test Modalities in the ISCHEMIA Trial

Author: Reynolds, Harmony R., Page, Courtney B., Shaw, Leslee J., Berman, Daniel S., Chaitman, Bernard R., Picard, Michael H., Kwong, Raymond Y., Min, James K., Leipsic, Jonathon, Mancini, G.B. John, Budoff, Matthew J., Hague, Cameron J., Senior, Roxy, Szwed, Hanna, Bhargava, Balram, Celutkiene, Jelena, Gadkari, Milind, Bainey, Kevin R., Doerr, Rolf, Ramos, Ruben B., Ong, Peter, Naik, Sudhir R., Steg, Philippe Gabriel, Goetschalckx, Kaatje, Chow, Benjamin J.W., Scherrer-Crosbie, Marielle, Phillips, Lawrence, Mark, Daniel B., Spertus, John A., Alexander, Karen P., O’Brien, Sean M., Boden, William E., Bangalore, Sripal, Stone, Gregg W., Maron, David J., Hochman, Judith S., Mavromatis, Kreton, Linefsky, Jason, Miller, Todd, Banerjee, Subhash, Newman, Jonathan D., Donnino, Robert M., Saric, Muhamed, Abdul-Nour, Khaled, Stone, Peter H., Jang, James J., Yee, Gennie, Weitz, Steven, Arnold, Suzanne, James Henry, O’Keefe, Jr, Shapiro, Michael D., Fein, Steven A., Torosoff, Mikhail T., Lyubarova, Radmila, Mookherjee, Sulagna, Drzymalski, Krzysztof, McFalls, Edward O., Garcia, Santiago A., Bertog, Stefan C., Siddiqui, Rizwan A., Ishani, Areef, Hansen, Ronnell A., Georges Khouri, Michel, Goldberg, Jonathan L., Goldweit, Richard, Cohen, Ronny A., Mirrer, Brooks, Navarro, Victor, Winchester, David E., Kronenberg, Marvin, McFarren, Christopher, Heitner, John F., Dauber, Ira M., Cannan, Charles, Sudarshan, Sriram, Mehta, Puja K., McDaniel, Michael, Lerakis, Stamatios, Quyyumi, Arshed, Wenger, Nanette K., Hedgepeth, Chester M., Hurlburt, Heather, Rosen, Alan, Sahul, Zakir, Leung, Steve, Reda, Hassan, Ziada, Khaled, Setty, Sampoornima, Barua, Rajat S., Hage, Fadi, Davies, James E., Leesar, Massoud, Heo, Jaekyeong, Iskandrian, Amy, Al Solaiman, Firas, Singh, Satinder, Dajani, Khaled, El-Hajjar, Mohammad, Der Mesropian, Paul, Sacco, Joseph, McCandless, Brian, Orgera, Marisa, Sidhu, Mandeep S., Arif, Imran, Kerr, Hanan, Trejo (Gutierrez), Jorge F., Fletcher, Gerald, Lane, Gary E., Neeson, Lynn M., Parikh, Pragnesh P., Pollak, Peter M., Shapiro, Brian P., Landolfo, Kevin, Gemignani, Anthony, OʼRourke, Daniel, Meadows, Judith L., Call, Jason T., Hannan, Joseph, Bojar, Robert, Kumar, Deepti, Mukai, John, Martin, Edward T., Vorobiof, Gabriel, Moorman, Alec, Kinlay, Scott, Hamburger, Robert J., Rocco, Thomas P., Bhatt, Deepak L., Croce, Kevin, Quin, Jacquelyn A., Anumpa, Jati, Zenati, Marco, Faxon, David P., Rayos, Glenn, Seedhom, Ashraf, Sullenberger, Lance, Kumkumian, Gregory, Sedlis, Steven P., Donnino, Robert M., Lorin, Jeffrey, Tamis-Holland, Jacqueline E., Kornberg, Robert, Leber, Robert, Saba, Souheil, Lee, Michael W., Small, Delano R., Nona, Wassim, Alexander, Patrick B., Rehman, Iram, Badami, Umesh, Marzo, Kevin, Robbins, Inga H., Levite, Howard A., Shetty, Sanjay, Patel, Mayuri, Hamroff, Glenn S., Little, Raymond W., Zimbelman, Brandi D., Lui, Charles Y., Smith, Brigham R., Vezina, Daniel P., Khor, Lillian L., Abraham, Josephine D., Bull, David A., McKellar, Stephen H., Booth, David, Kotter, John, Abdel-Latif, Ahmed, Hu, Bob, Labovitz, Arthur J., Berlowitz, Michael, Rogal, Philip, Matar, Fadi, Caldeira, Christiano, Rodriguez, Fatima, Schnittger, Ingela, Fearon, William F., Deedwania, Prakash, Reddy, Kiran, Sweeny, Joseph, Spizzieri, Christopher, Hochberg, Claudia P., Salerno, William D., Wyman, Ray, Zarka, Amer, Shah, Anil V., Haldis, Thomas, Kohn, Jeffrey A., Girotra, Saket, Almousalli, Omar, Krishnam, Mayil S., Milliken, Jeffrey C., Patel, Pranav M., Seto, Arnold H., Harley, Kevin T., Gibson, Michael A., Allen, Byron J., Coram, Rita, Thomas, Sabu, Schwartz, Ronald G., Chen, Wei, El Shahawy, Mahfouz, Stafford, James, Abernethy, William B., Zurick, Andrew, Meyer, Thomas M., Morford, Ronald G., Rutkin, Bruce, Bokhari, Sabahat, Sokol, Seth I., Meisner, Jay, Hamzeh, Ihab, Misra, Arunima, Matthew, Wall, Jr, De Rosen, Veronica Lenges, Alam, Mahboob, Turner, Michael C., Mulhearn, Thomas J., Good, Arnold P., Shammas, Nicolas W., Chilton, Robert, Nguyen, Patricia K., Jezior, Matthew, Gordon, Paul C., Crain, Thomas, Stenberg, Robert, Pedalino, Ronald P., Wiesel, Joseph, Juang, George J., Al-Amoodi, Mohammed, Wohns, David, Lader, Ellis W., Mumma, Michael, Dharmarajan, Lekshmi, Joseph F.X., McGarvey, Jr, Downes, Thomas R., Luckasen, Gary J., Cheong, Benjamin, Potluri, Srinivasa, Mastouri, Ronald A., Breall, Jeffery A., Revtyak, George E., Bazeley, Jonathan W., Li, Dayuan, Giedd, Kenneth, Old, Wayne, Burt, Francis, Sokhon, Kozhaya, Gopal, Deepika, Valeti, Uma S., Kobashigawa, Jon, Chakanalil Govindan, Sajeev, Gopalan Nair, Rajesh, Nanjappa Manjunath, Cholenahally, Moorthy, Nagaraja, Cholenahally Manjunath, Satvic, Narayanappa, Suryaprakash, Pandit, Neeraj, Kumar Nath, Ranjit, Dwivedi, S.K., Narain, V.S., Chandra, Sharad, Wander, Gurpreet S., Tandon, Rohit, Ralhan, Sarju, Aslam, Naved, Goyal, Abhishek, Karthikeyan, G., Ramakrishnan, S., Seth, Sandeep, Yadav, Rakesh, Singh, Sandeep, Roy, Ambuj, Parakh, Neeraj, Kumar Verma, Sunil, Narang, Rajiv, Mishra, Sundeep, Naik, Nitish, Sharma, Gautam, Kumar Choudhary, Shiv, Patel, Chetan, Gulati, Gurpreet, Sharma, Sanjeev, Bahl, V.K., Mathew, Anoop, Punnoose, Eapen, Gadage, Siddharth, Umesh Pillay, Tapan, Satheesh, Santhosh, Mathur, Atul, Christopher, Johann, Menon, Rajeev, Kumar, Nirmal, Oomman, Abraham, Mao, Robert, Solomon, Hilda, Parveen Khan, Sajeeda, Grant, Purvez, Kachru, Ranjan, VK, Ajit Kumar, Ganapathi, Sanjay, K., Jayakumar, Sivadasanpillai, Harikrishnan, Sasidharan, Bijulal, T.R., Kapilamoorthy, Polamuri, Praneeth, Kaul, Upendra, Fox, Keith A.A., Carruthers, Kathryn, Elghamaz, Ahmed, Gurunathan, Sothinathan, Karogiannis, Nikolaos, Shah, Benoy N., Trimlett, Richard H.J., Rubens, Michael B., Nicol, Edward D., Mittal, Tarun K., Hampson, Reinette, Andreas Gamma, Reto, de Belder, Mark A., Thambyrajah, Jeet, Nageh, Thuraia, Davies, John R., Lindsay, Steven J., Kurian, John, Jamil, Haqeel, Raheem, Osama, Hoye, Angela, Donnelly, Patrick, Valec ka, Bernardas, Chauhan, Anoop, Barr, Craig, Alfakih, Khaled, Byrne, Jonathan, Webb, Ian, Henriksen, Peter, O. Kane, Peter, de Silva, Ramesh, Conway, Dwayne S.G., Sirker, Alexander A., Hoole, Stephen P., Witherow, Fraser N., Johnston, Nicola, Harbinson, Mark, Walsh, Simon, Douglas, Hanna, Luckie, Matthew, Sobolewska, Jolanta, Jeetley, Paramjit, Patel, Niket, Kotecha, Tushar, Travill, Christopher, Karimullah, Iqbal, Al-Bustami, Mahmud, Braganza, Denise, Henderson, Robert, Pointon, Kate, Naik, Surendra, Mathew, Thomas, Berry, Colin, Collison, Damien, Roditi, Giles, Moriarty, Andrew J., Glover, Jason D., Pradhan, Jiwan, Ghada, Mikhail, Francis, Darrel P., Dzavik, Vladimir, Diaz, Ariel, Rheault, Philippe, Barrero, Miguel, Gagné, Carl-Éric, Pépin-Dubois, Yanek, Costa, Ricardo, Tung Sia, Ying, Lemay, Catherine, Gisbert, Alejandro, Gervais, Pierre, Rheault, Alain, Carl Phaneuf, Denis, Gosselin, Gilbert, Garg, Pallav, Hessian, Renee C., Beanlands, Rob S., Davies, Richard F., Cheema, Asim N., Bagai, Akshay, Wald, Ron, Goodman, Shaun, Graham, John Joseph, Peterson, Mark, Chow, Chi-Ming, Abramson, Beth, Nazir Cheema, Asim, Tariq Vakani, Mohammad, Cha, James, Howarth, Andrew G., Wong, Graham, Uxa, Amar, Galiwango, Paul, Kassam, Saleem, Mukherjee, Ashok, Joseph Ricci, A., Lam, Andy, Me, Shamir, Udell, Jacob, Généreux, Philippe, Hameed, Adnan, Daba, Ledjalem, Hueb, Whady, Cury Rezende, Paulo, Ciappina Hueb, Alexandre, Emanuela, Paola, Smanio, Poggio, Schaan de Quadros, Alexandre, Abdala, Renato, Kalil, Karam, da Costa Vieira, José Luiz, Grossmann, Gabriel, Píccaro de Oliveira, Pedro, Bridi, Leonardo, Savaris, Simone, Vitola, João V., Cerci, Rodrigo J., Farias, Fabio R., Fernandes, Miguel M., Antonio Marin-Neto, José, Schmidt, André, de Oliveira Lima Filho, Moysés, Mendes Oliveira, Ricardo, Reynaldo, João, Chierice, Abbud, Polanczyk, Carísi A., Furtado, Mariana V., Smidt, Luis F., Carlos Carvalho, Antonio, Pucci, Gustavo, Lyra, Flavio, Rabelo, Alvaro, Junior, Alves, Dracoulakis, Marianna D.A., Lima, Rodolfo G.S.D., Figueiredo, Estevao, Ricardo Caramori, Paulo, Tumelero, Rogerio, Dall’Orto, Frederico, Mesquita, Claudio T., Colafranseschi, Alexandre S., Amarino C., Oliveira, Jr, Carvalho, Luiz A., Palazzo, Isabella C., Sousa, Andre S., da Silva, Expedito Eustáquio Ribeiro, Gabriel, Pedro, de Barros e Silva, Melo, de Pádua Silva Baptista, Luciana, Jamus Rodrigues, Marcelo, de Resende, Marcos Valério Coimbra, Francisco Saraiva, Jose, Costantini, Costantino, Ruzyllo, Witold, Demkow, Marcin, Pracon, Radoslaw, Kepka, Cezary, Teresinska, Anna, Kryczka, Karolina, Henzel, Jan, Solecki, Mateusz, Kaczmarska, Edyta, Mazurek, Tomasz, Drozdz, Jaroslaw, Czarniak, Bartosz, Frach, Malgorzata, Szymczyk, Konrad, Niedzwiecka, Iwona, Sobczak, Sebastian, Ciurus, Tomasz, Jakubowski, Piotr, Misztal-Teodorczyk, Magdalena, Teodorczyk, Dawid, Fratczak, Aleksandra, Szkopiak, Marcin, Lebioda, Patrycja, Wlodarczyk, Michal, Plachcinska, Anna, Kusmierek, Jacek, Miller, Magdalena, Marciniak, Halina, Wojtczak-Soska, Karolina, Łuczak, Katarzyna, Tarchalski, Tomasz, Cichocka-Radwan, Anna, Anna Szulczyk, Grazyna, Witkowski, Adam, Kukuła, Krzysztof, Celińska-Spodar, Małgorzta, Zalewska, Joanna, Gajos, Grzegorz, Bury, Krzysztof, Pruszczyk, Piotr, Roik, Marek, Łoboz-Grudzień, Krystyna, Sokalski, Leszek, Brzezińska, Barbara, Lesiak, Maciej, Łanocha, Magdalena, Reczuch, Krzysztof W., Kalarus, Zbigniew, Swiatkowski, Andrzej, Szulik, Mariola, Musial, Wlodzimierz J., Bockeria, Leo, Petrosyan, Karen, Trifonova, Tatiana, Chernyavskiy, Alexander M., Kretov, Evgeniy I., Grazhdankin, Igor O., Bershtein, Leonid L., Sayganov, Sergey A., Kuzmina-Krutetskaya, Anastasia M., Zbyshevskaya, Elizaveta V., Katamadze, Nana O., Demchenko, Elena A., Kozlov, Pavel S., Kozulin, Vikentiy Y., Lubinskaya, Ekaterina I., Lopez-Sendon, Jose, Castro, Almudena, Refoyo Salicio, Elena, Guzman, Gabriela, Galeote, Gabriel, Valbuena, Silvia, Peteiro, Jesús, Dolores Martínez-Ruíz, María, Pérez-Fernández, Ruth, Cuenca-Castillo, José J., Flores-Ríos, Xacobe, Prada-Delgado, Óscar, Barge-Caballero, Gonzalo, Ramon Gonzalez Juanatey, Jose, Souto Bayarri, Miguel, Pubull Nuñez, Virginia, Ocaranza Sanchez, Raymundo, Cid Alvarez, Belen, Peña Gil, Carlos, Martinez Monzonis, Amparo, Sionis, Alessandro, Vila Perales, Montserrat, Maria Padró, Josep, Serra Peñaranda, Antonio, García Picart, Joan, Ginel Iglesias, Antonino, Garcia-Moll Marimon, Xavier, Pons Lladó, Guillem, Carreras Costa, Francesc, Miro, Vicente, Diez, Jose L., Calvillo, Pilar, Marin Ortuño, F., Valdés Chávarri, M., Tello Montolliu, A., Pinar Bermudez, E., De La Morena, G., Gracida Blancas, Montserrat, Enrique Castillo Luena, Jose, Fernandez-Aviles, Francisco, Chen, Jiyan, Wu, Yongjian, Ma, Yitong, Yang, Yining, Ji, Zheng, Yang, Xinchun, Lin, Wenhua, Zeng, Hesong, Fu, Xin, Wang, Songtao, Cheng, Gong, Zhao, Yulan, Fang, Xuehua, Zeng, Qiutang, Su, Xi, Li, Qingxian, Nie, Shao-Ping, Yu, Qin, Wang, Jianʼan, Zhang, Shuyang, Liu, Zhenyu, Maggioni, Aldo P., Piero Perna, Gian, Marini, Marco, Gabrielli, Gabriele, Provasoli, Stefano, Verna, Edoardo, Monti, Lorenzo, Nardi, Barbara, Di Chiara, Antonio, Mortara, Andrea, Galvani, Marcello, Ottani, Filippo, Sicuro, Marco, Calabro, Paolo, Formisano, Tiziana, Tarantini, Giuseppe, Cucchini, Umberto, Luigi Andres, Anto, Racca, Emanuela, Briguori, Carlo, Amati, Roberto, Vergoni, William, Russo, Aldo, Fanelli, Raffaele, Poh, Kian-Keong, Chai, Ping, Lau, Titus, Loh, Joshua P., Tay, Edgar L., Teoh, Kristine, Teo, Lynette L., Ong, Ching-Ching, Wong, Raymond C., Loh, Poay-Huan, Kofidis, Theodoros, Xian Chan, Wan, Hui Chan, Koo, Foo, David, Loh Kwok Kong, Jason, Ching, Min, Er, Haider Jafary, Fahim, Chua, Terrance, Stumpf, Juergen, Matschke, Klaus, Simonis, Gregor, Kadalie, Clemens T., Sechtem, Udo, Christian Schulze, P., Goebel, Bjoern, Lenk, Karsten, Nickenig, Georg, Schuchlenz, Herwig, Weikl, Stefan, Marthe Lang, Kurt Huber, Irene, Jakl-Kotauschek, Gabriele, Vertes, Matyas Keltai Andras, Varga, Albert, Fontos, Geza, Merkely, Bela, Kerecsen, Gabor, Hinic, Sasa, Zdravkovic, Marija, Mudrenovic, Vladan, Crnokrak, Bogdan, Beleslin, Branko D., Boskovic, Nikola N., Petrovic, Marija T., Dobric, Milan R., Markovic, Zeljko Z., Mladenovic, Ana S., Cemerlic-Adjic, Nada, Davidović, Goran, Vučić, Rada, Nikola Dekleva, Milica, Stankovic, Goran, Apostolovic, Svetlana, Escobedo, Jorge, Baleón-Espinosa, Rubén, Campos-Santaolalla, Arturo S., Durán-Cortés, Elihú, Flores-Palacios, José M., García-Rincón, Andrés, Jiménez-Santos, Moisés, Peñafiel, Joaquín V., Ortega-Ramírez, José A., Valdespino-Estrada, Aquiles, Alexánderson Rosas, Erick, Murphy, Deirdre, Selvanayagam, Joseph B., Joseph, Majo X., Thambar, Suku T., Rankin, Jamie, Beltrame, John F., Hillis, Graham S., Thuaire, Christophe, Dutoiu, Téodora, Juliard, Jean-Michel, Slama, Michel S., El Mahmoud, Rami, Nicollet, Eric, Goube, Pascal, Barone-Rochette, Gilles, Furber, Alain, Bière, Loïc, Laucevicius, Elvin Kedhi, Aleksandras, Timmer, MD Jorik, Hermanides, Rik, Kaplan, Eliza, Riezebos, Robert K., Samadi, Pouneh, van Dongen, Elise, Niehe, Sander R., Suryapranata, Harry, van Vugt, Stijn, Cacela, Duarte, Santana, Ana, Fiarresga, Antonio, Sousa, Lidia, Marques, Hugo, Patricio, Lino, Bernanrdes, Luis, Rio, Pedro, Carvalho, Ramiro, Ferreira, Rui, Silva, Tiago, Rodrigues, Ines, Modas, Pedro, Portugal, Guilherme, Fragata, Jose, Pinto, Fausto J., Nobre Menezes, Miguel, Cantinho Lopes, Guilhermina, Gomes Almeida, Ana, Canas Silva, Pedro, Nobre, Angelo, Rita Francisco, Ana, Ferreira, Nuno, Lopes, Ricardo L., Diaz, Rafael, Guzman, Luis, César Figal, Julio, Méndiz, Oscar, Cortés, Claudia, René Favaloro, Roberto, Alvarez, Carlos, Courtis, Javier, Zeballos, Gabriela, Schiavi, Lilia, Rubio, Mariano, Alsweiler, Caroline, Patrick Devlin, Gerard, Fisher, Raewyn, Alan Huston Stewart, Ralph, Douglas White, Harvey, Benatar, Jocelyne, Kedev, Sasko, Peovska Mitevska, Irena, Srbinovska Kostovska, Elizabeta, Pejkov, Hristo, Held, Claes, Eggers, Kai, Frostfelt, Gunnar, Johnston, Nina, Olsowka, Maciej, Åkerblom, Axel, Soveri, Inga, Aspberg, Johannes, Beyar, Rafael, Nikolsky, Eugenia, Sharir, Tali, Elian, Dan, Kerner, Arthur, Massalha, Samia, Fukuda, Keiichi, Kohsaka, Shun, Yasuda, Satoshi, Nishimura, Shigeyuki, Van de Werf, Frans, Claes, Kathleen, Hung, Chung-Lieh, Yun, Chun-Ho, Jia-Yin Hou, Charles, Kuo, Jen-Yuan, Yeh, Hung-I, Hung, Ta-Chuan, Li, Jiun-Yi, Chien, Chen-Yen, Tsai, Cheng-Ting, Liu, Chun-Chieh, Yu, Fa-Chang, Lin, Yueh-Hung, Lan, Wei-Ren, Yen, Chih-Hsuan, Tsai, Jui-Peng, Sung, Kuo-Tzu, Ntsekhe, Mpiko, Pandie, Shaheen, Viljoen, Charle A., De Andrade, Marianne, Moccetti, Tiziano, Grazia Rossi, M., Abdelhamid, Magdy, Adel, Ahmed, Kamal, Ahmed, Mahrous, Hossam, El Kaffas, Sameh, El Fishawy, Hussien, Pop, Calin, Claudia, Matei, Popescu, Bogdan A., Ginghina, Carmen, Deleanu, Dan, Iliescu, Vlad A., Al-Mallah, Mouaz H., Aljzeeri, Ahmed, Najm, Hani, Alghamdi, Ali, Ramos, Walter Enrique Mogrovejo, Kuanprasert, Srun, Prommintikul, Arintaya, Nawarawong, Weerachai, Woragidpoonpol, Surin, Tepsuwan, Thitipong, Taksaudom, 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Anne, Knightonc, Abigail, Martin, Katherine, Flint, Laura, Harrison, James, Lakeman, Nicki, Ljubez, Anja, Wright, Judith, Exley, Donna, Andiapen, Mervyn, Richards, Amy J., Wong, Lisa, Munro, Melanie J., McEvoy, Michelle, Brown, Caroline, Charles, Thabitha, Kolakaluri, Laurel, Phillips, Hannah, Morby, Louise, Hallett, Karen, Corbett, Carolyn, Winstanley, Lynne, Smit, Angelique, Gent, Susan, Hussain, Nafisa, Haines, Fiona, Taaffe, Joanne, Burton, Jane, Colton, Maria, King, Rachel, Brown, Ammani, Docherty, Andrew, McCloy, Lisa, Robb, Kate, Paterson, Craig, Crawford, Wenda, Kelly, Joanne, McGregor, Lorraine, Mackin, Anne, Knight, Janet P., Bose, Tuhina, Proietti, Anna, Brousseau, Myriam, Corfias, Magalie, Blaise, Patricia, Harvey, Luc, Alarie, Patricia, Arcand, Linda, Roy, Isabelle, Montpetit, Estelle, Drouin, Katia, Bergeron, Christine, Shelley, Christine, Masson, Christine, Carr, Sandy, Bone, Catherine, Moga, Ermina, Kourzenkova, Janetta, Walter, Olga, Hogg, Norma, Welsh, Suzanne, Hussain, Mohammed, Bello, Olugbenga, Syed, Ishba, Kushniriuk, Khrystyna, Otis, Judy, Otis, Rebecca, Seib, Michelle M., Rivest, Sandra M., Sandonato, Rosa, Chow, Jackie, Starovoytov, Andrew, Uchida, Naomi, Meadows, Ngaire, Asif, Nadia, Tavares, Suzana, Bozek, Bev, Shier, Maria, Larmand, Lori-Ann, Janmohamed, Amir, Hart, Brenda, Marucci, Jane, Tai, Sharon, Brons, Sonya, Beck, Chris, Wong, Glenda, Etherington, Krystal, Arumairajah, Thippeekaa, Aprile, Maria, Karlsson, Sara, Webber, Susan, Mercure, Chantale, Aedy, Nancy, Farquharson, Fran, Siddiqui, Anam, Emy Takiuti, Myrthes, Pizzol Caetano, Leonardo, Peixoto Deiro, Aline, Manica Muller, Alice, de Moraes, Maria Antonieta Pereira, Maria Ascoli, Bruna, Zottis Poletti, Sílvia, Zier, Sandra S., Veiga, Vilmar, Franca da Cunha, Diego, Rucatti, Guilherme G., Igansi, Fernanda, Haeffner, Mauren P., Almeida, Viviane, Sanchez de Souza, Gabriela, Almeida, Mayana, dos Santos, Viviane, Oliveira, Natalia S., Edilena Paulino Azevedo, Bruna, Bizzaro Santos, Marco, Germann, Amanda, Gomes, Vitor, Homem, Rosa, Magedanz, Ellen, Laimer, Rosane, Tognon, Alexandre, Santos, Roberta P., Yumi Okada, Mariana, Paula Batista, Ana, Nogueira Rabaça, Aline, Miranda Trama, Larissa, Silva, Talita, de Souza Ormundo, Camila Thais, Vicente, Carla, Pinheiro, Caroline, Komar, Daniele, Walesiak, Olga, Malinowska, Katarzyna, Maksym, Jakub, Wojtera, Karolina, Fojt, Anna, Szczerba, Ewa, Swiderek, Marta, Wojtala, Ewelina, Karwowski, Jaroslaw, Łabyk, Andrzej, Szramowska, Agnieszka, Zdończyk, Olga, Jaroch, Joanna, Kolodziej, Adam, Marcinkiewicz-Siemion, Marta, Bockeria, Olga, Kudzoeva, Zalina, Aripova, Nodira, Naryshkin, Ivan A., Kuleshova, Alena, Malaev, Dastan, Subbotina, Irina, Gumerova, Victoria, Nikolaeva, Olga B., Fernández-Figares, Pharm, Virginia, Alonso-Álvarez, Moisés Blanco-Calvo Encarnación, García-González, Paula, Seijas Amigo, Jose, Fernández Martínez, Begoña Igual, Ana, Romero Aniorte, M. Quintana Giner A.I., Rivera Caravaca, J.M., Cañavate, Olga, Guerrero, Sonia, Riera, Silvia, Lasala, Maria, Lorenzo, Maria, Sobrino, Olga, Vazquez, Alexandra, Dong, Haojian, He, Peiyu, Xia, Chunli, Yang, Junqing, Zhong, Qi, Tian, Yanmeng, Li, Dongze, Li, Xiaomei, Ma, Xiang, Yu, Zixiang, Zhao, Qian, Li, Chunguang, Zhang, Lei, Zhao, Yu, Zhu, Bolin, Chen, Mulei, Chi, Hongjie, Wang, Yang, Zhang, Jing, Jing, Rui, Liu, Jingjing, Zhou, Qiang, Xu, Chang, Li, Zhuxi, Li, Junhua, Xiong, Luyang, Gao, Dan, Jiang, Dengke, Leng, Ran, Wang, Xutong, Yuan, Qianqian, Zhang, Lili, Bai, Ziliang, Li, Jianhua, Qi, Jie, Wang, Fei, Wang, Haitao, Yang, Bin, Yue, Zhou, Zhang, Zhulin, Dong, Yumei, Mao, Jiajia, Zhang, Bin, Li, Xiuhong, Yao, Xiaowei, Zhong, Nier, Zhou, Ning, Huang, Yaping, Zhou, Wei, Panpan, Peng, Yu Kunwu Yudong, Su, Xin, Wang, Chen, Zhao, Yunhai, Geng, Yaming, Wang, Yanfu, Fan, Jing-Yao, Feng, Si-Ting, Wang, Xiao, Yan, Yan, Zhang, Hui-Min, Chi, Lingping, Liu, Fang, Chen, Han, Jiang, Jun, Li, Huajun, Han, Yechen, Xu, Lihong, Chen, Gang, Hu, Rongrong, Pietrucci, Francesca, Di Donato, Anna, Pezzetta, Francesca, Casali, Valentina, Attanasio, Chiara, Leone, Gianpiero, Pisano, Francesco, Bare, Cristina, Fimiani, Fabio, Barioli, Alberto, Ramani, Federica, Rolfo, Fabrizio, Goletto, Cecilia, De Micco, Francesca, Di Marco, Stefano, Tricoli, Martina, Villella, Massimo, Tan, Sik-Yin V., Sia, Winnie C., Leong, Audrey W., Hai Yan, Li, Ismail, Nasrul, Tun Kyaw, Min, Yip, Deborah, Grahl, Dorit, Guenther, Franziska, Bonin, Kerstin, Wenzelburger, Ina, Gruensfelder, Susanne, Sinning, Jan-Malte, Weber, Marcel, Werner, Nikos, Steinmaurer, Gudrun, Winter, Tijana, Andric, Max-Paul, Tscharre, Claudia, Maximilian, Bernhard, Jäger, Wegmayrc, Egger, Floria, Davidovits, Judit Sebo Zoltan, Matics, Laszlone, Ágoston, Gergely, Dekany, Gabor, Bartykowszki, Andrea, Jakal, Agnes, Djokic, Jelena, Djordjevic-Dikic, Ana D., Giga, Vojislav L., Stepanovic, Jelena J., Velicki, Lazar, Pupic, Ljiljana, Simović, Stefan M., Stevo Martinovic, Miroslav, Stevanovic, Gordana, Dobric, Milan, Salinger Martinovic, Sonja, Stanojevic, Dragana, de Jesús-Pérez, Ramon, Brassetti, María Fernanda Canales, Adrián Vences Anaya, Diego, Pérez García, María, Estela Carvajal Juarez, Isabel, Madero Rovalo, Magdalena, Lee, Sau, Thomas, Prince, Chaplin, Melissa D., Stansborough, Jeanette K., Black, Marilyn, Bonner, Michelle M., Ireland, Kim F., Venn-Edmonds, Clare, Thobois, Corine, Tachot, Emilie, Laure, Christophe, Vassaliere, Christel, Abergel, Helene, Fuentes, Axelle, Eliahou, Ludivine, Dubourg, Olivier, Michaud, Pierre, Hadjih, Sarah, Brito, Patricia, Cornet, Charles, Rautureau, Jeremy, Juceviciene, Agne, Kalibataite-Rutkauskiene, Irma, Keinaite, Laura, Laukyte, Monika, Mikolaitiene, Gelmina, Smigelskaite, Akvile, Tamasauskiene, Ilona, Urboniene, Agne, Bouwhuis, Ilse, Nijmeijer, Jeannette, Lia, Elisabeth, J.M. Schoep, Ahoud, M. Janzen Sandra, Selas, Mafalda, Silva, Filipa, Freixo, Cláudia, Zimbarra Cabrita, Inês, Rocha, Andreia, Patuleia Figueiras, Francisca, Coelho, Andreia, Capinha, Marta, Inês Caetano, Maria, Silva, Susana, Tinnirello, Veronica, Nicolás Mungo, Matías, Garcia, Marina, Godoy, Valeria, Victoria Actis, Maria, Scaro, Graciela, Low, Liz, Scales, Jayne, Abercrombie, Kirsty, Howell, Leah, Patten, Cathrine, Björklund, Christina, Andreasson, Maria, Essermark, Marie, Persson, Liselotte, Harel, Or, Bentzvi, Margalit, Helmer, Ludmila, Ueda, Ikuko, Fujita, Jun, Furukawa, Akemi, Hirase, Kanae, Nagai, Toshiyuki, Otsuka, Fumiyuki, Nakano, Shintaro, Robesyn, Valerie, Yang, Yi-Hsuan, Mtana, Noloyiso, Anesini, Adriana, Maspoli, Simona, Mombelli, Manuela, Talaat, Ahmed, Rosca, Monica, Beladan, Carmen C., Zahrani, Sarah, Antonio Monsalve Davila, Marco, Khwakhong, Supatchara, Chaiyasri, Anong, Mekara, Warangkana, Kulthawong, Supap, Amaritakomol, Anong, Panpunuan, Pachara, Syamira Mokhtar, Noor, Asiah Basri, Nor, Yusnida, Irni, Hashim, Humayrah, Berger, Jeffrey, Williams, David, Harrington, Robert, Jiang, Lixin, Lopes, Renato D., Noel Bairey Merz, C., Weintraub, William, Donato Morales Rodríguez, Erick, Maurovich-Horvat, Pal, Sonawane, Poonam, Francis, Ramakrishnan, Rajesh, Nayak, T. Soundarya, Boer, Stephanie C., Rosenberg, Yves, Hamm, Christian, Helm, Malte, Peterson, Eric, Ballantyne, Christie, Calfas, Karen, Ann Champagne, Mary, Fleg, Jerome, McCullough, Peter A., Menasche, Philippe, Davidson, Michael, Fremes, Stephen, Guyton, Robert, Mack, Michael, Mohr, Fred, Rao, Anupama, Sabik, Joe, Shapira, Oz, Taggart, David, Tatoulis, James, Blankenship, Jim, Brener, Sorin, Buller, Chris, Colombo, Antonio, de Bruyne, Bernard, Kereiakes, Dean, Lefevre, Thierry, Moses, Jeffrey, Mahaffey, Ken, Cruz-Flores, Salvador, Danchin, Nicholas, Feen, Eli, Garcia, Mario J., Hauptman, Paul, Laddu, Abhay A., Passamani, Eugene, Pina, Ileana L., Simoons, Maarten, Skali, Hicham, Thygesen, Kristian, Waters, David, Endsley, Patricia, Esposito, Gerard, Kanters, Jeffrey, Pownall, John, Stournaras, Dimitrios, Friedrich, Matthias, Hachamovitch, Rory, Oliver, Dana, Harrel, Frank, Blume, Jeffrey, Lee, Kerry, Kullo, Iftikhar, McManus, Bruce, Newby, Kristin, Cohen, David, Bugiardini, Raffaele, Mattina, Deirdre, Ali, Ziad, Mathew, Roy, Friedman, Lawrence, Anderson, Jeffrey, Berg, Jessica, DeMets, David, Michael Gibson, C., Lamas, Gervasio, Deming, Nicole, Himmelfarb, Jonathan, Ouyang, Pamela, Woodard, Pamela, Nwosu, Samuel, Kirby, Ruth, Jeffries, Neal, Denaro, Jean E., Boumakis, Stephanie, Chan, Kevin, Cobb, Gia, Contreras, Aira, Cukali, Diana, Ferket, Stephanie, Gabriel, Andre, Hansen, Antonietta, Roberts, Arline, Chang, Michelle, Islam, Sharder, Wayser, Graceanne, Yakubov, Solomon, Yee, Michelle, Callison, Caroline, Hogan, Isabelle, Qelaj, Albertina, Pirro, Charlotte, Van Loo, Kerrie, Wisniewski, Brianna, Gilsenan, Margaret, Lang, Bevin, Mohamed, Samaa, Esquenazi-Karonika, Shari, Mathews, Patenne D., Naumova, Anna, Lyo, Jihyun, Setang, Vincent, Xavier, Mark, Anstrom, Kevin, Baloch, Khaula, Blount, Janet, Cowper, Patricia, Davidson-Ray, Linda, Drew, Laura, Harding, Tina, David Knight, J., Minshall Liu, Diane, O’Neal, Betsy, Redick, Thomas, Jones, Philip, Nugent, Karen, Jingyan Wang, Grace, Goyal, Abhinav, Hetrick, Holly, Hayes, Sean W., Friedman, John D., Mark Hyun, R. James Gerlach, Miranda-Peats, Romalisa, Slomka, Piotr, Thomson, Louise, Pierre Mongeon, Francois, Michael, Steven, Hung, Judy, Zeng, Xin, Eckstein, Jane, Guruge, Bandula, Streif, Mary, Alfonso, Maria A., Corral, Maria P., Garcia, Javier J., Horst, Jennifer, Jankovic, Ivana, Konigstein, Maayan, Lustre, Mitchel B., Peralta, Yolayfi, Sanchez, Raquel, Arsanjani, Reza, Elmor, Kimberly, Gomez, Millie, Hindoyan, Niree, Nakanishi, Rine, Barbara Srichai-Parsia, M., Yeoh, Eunice, Youn, Tricia, Bianchini, Francesca, Ceseri, Martina, Lorimer, Andrea, Magnoni, Marco, Orso, Francesco, Sarti, Laura, Mazza Barbosa, Lilian, Bello Duarte, Tauane, Colaiácovo Soares, Tamara, de Aveiro Morata, Julia, Carvalho, Pedro, de Carvalho Maffei, Natalia, Egydio, Flávia, Kawak, Anelise, Oliveira, Janaina, Restelli Piloto, Elissa, Pozzibon, Jaqueline, Camara, Diane, Mowafy, Neamat, Spindler, Caroline, Dai, Hao, Feng, Fang, Li, Jia, Li, Li, Liu, Jiamin, Xie, Qiulan, Zhang, Haibo, Zhang, Jianxin, Zhang, Lihua, Zhang, Liping, Zhang, Ning, Zhong, Hui, Escobar, Claudia, Eugenia Martin, Maria, Pascual, Andrea, Moraga, Paloma, Hernandez, Victoria, Posada, Maria, Fernandez, Sara, Luis Narro Villanueva, José, Selgas, Rafael, Luyten, Ann, Garcevic, Nevena, Stojkovic, Jelena, Ahmed, Asker, Bhatt, Richa, Chadha, Nitika, Kumar, Vijay, Lubna, Sadath, Naik, Pushpa, Pandey, Shruti, Ramasamy, Karthik, Saleem, Mohammed, Sharma, Pratiksha, and Siddaram, Hemalata
Published: 2024
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27. DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification.

Author: Saifullah Saifullah, Stefan Agne, Andreas Dengel 0001, and Sheraz Ahmed
Published: 2024
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28. Latent Diffusion for Guided Document Table Generation.

Author: Syed Jawwad Haider Hamdani, Saifullah Saifullah, Stefan Agne, Andreas Dengel 0001, and Sheraz Ahmed
Published: 2024
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29. StylusAI: Stylistic Adaptation for Robust German Handwritten Text Generation.

Author: Nauman Riaz, Saifullah Saifullah, Stefan Agne, Andreas Dengel 0001, and Sheraz Ahmed
Published: 2024
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30. Beyond $\Lambda$CDM constraints from the full shape clustering measurements from BOSS and eBOSS

Author: Semenaite, Agne, Sánchez, Ariel G., Pezzotta, Andrea, Hou, Jiamin, Eggemeier, Alexander, Crocce, Martin, Zhao, Cheng, Brownstein, Joel R., Rossi, Graziano, and Schneider, Donald P.
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We analyse the full shape of anisotropic clustering measurements from the extended Baryon Oscillation Spectroscopic survey (eBOSS) quasar sample together with the combined galaxy sample from the Baryon Oscillation Spectroscopic Survey (BOSS). We obtain constraints on the cosmological parameters independent of the Hubble parameter $h$ for the extensions of the $\Lambda$CDM models, focusing on cosmologies with free dark energy equation of state parameter $w$. We combine the clustering constraints with those from the latest CMB data from Planck to obtain joint constraints for these cosmologies for $w$ and the additional extension parameters - its time evolution $w_{\rm{a}}$, the physical curvature density $\omega_{K}$ and the neutrino mass sum $\sum m_{\nu}$. Our joint constraints are consistent with flat $\Lambda$CDM cosmological model within 68\% confidence limits. We demonstrate that the Planck data are able to place tight constraints on the clustering amplitude today, $\sigma_{12}$, in cosmologies with varying $w$ and present the first constraints for the clustering amplitude for such cosmologies, which is found to be slightly higher than the $\Lambda$CDM value. Additionally, we show that when we vary $w$ and allow for non-flat cosmologies and the physical curvature density is used, Planck prefers a curved universe at $4\sigma$ significance, which is $\sim2\sigma$ higher than when using the relative curvature density $\Omega_{\rm{K}}$. Finally, when $w$ is varied freely, clustering provides only a modest improvement (of 0.021 eV) on the upper limit of $\sum m_{\nu}$., Comment: 12 pages, 6 figures, submitted to MNRAS
Published: 2022
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31. Faces of War

Author: Limante, Agne, primary
Published: 2024
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32. HISTÓRIA DO ENSINO DE MATEMÁTICA NO BRASIL E CONCEPÇÕES DOS PROFESSORES

Author: Agne, Luciano Sant'ana, primary
Published: 2024
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33. Contributors

Author: Agabiti-Rosei, Claudia, primary, Agabiti-Rosei, Enrico, additional, Agnoletti, Davide, additional, Alastruey, Jordi, additional, AlGhatrif, Majd, additional, Almada, Horacio, additional, Ángela, Sardella, additional, Argyris, Antonios, additional, Aristizabal, Dagnovar, additional, Armeni, Eleni, additional, Avolio, Alberto, additional, Badariene, Jolita, additional, Badhwar, Smriti, additional, Barbosa, Eduardo Costa Duarte, additional, Barroso, Weimar Kunz Sebba, additional, Bascetin, Rümeyza, additional, Baynard, Tracy, additional, Becerra, Carlos Ramos, additional, Bennett, Nadia, additional, Bianchini, Elisabetta, additional, Bohn, Lucimere, additional, Borghi, Claudio, additional, Bortolotto, Luiz Aparecido, additional, Boutouyrie, Pierre, additional, Bruno, Rosa Maria, additional, Burnier, Michel, additional, Butlin, Mark, additional, Calabria, Fabiana, additional, Camafort, Miguel, additional, Cavero-Redondo, Iván, additional, Challande, Pascal, additional, Chirinos, Julio A., additional, Climie, Rachel Emma, additional, Cockcroft, John, additional, Cotter, Jorge, additional, Cruickshank, J. Kennedy, additional, Cunha, Pedro Guimarães, additional, Damianaki, Aikaterini, additional, De Backer, Tine, additional, De Buyzere, Marc L., additional, De Caterina, Raffaele, additional, De Ciuceis, Carolina, additional, Debette, Stephanie, additional, Edsfeldt, Andreas, additional, Fernhall, Bo, additional, Ferreira, Isabel, additional, Fisher, Simon, additional, Forcada, Pedro, additional, S. Franklin, Stanley, additional, Garcia, Ricardo, additional, Georgiopoulos, Georgios, additional, Ghiadoni, Lorenzo, additional, Goncalves, Isabel, additional, Gottsäter, Mikael, additional, Graham, Delyth, additional, Greene, Katherine, additional, Guala, Andrea, additional, Hametner, Bernhard, additional, Hashimoto, Junichiro, additional, Hering, Dagmara, additional, Hibner, Brooks A., additional, Højlund, Kurt, additional, Hughes, Alun, additional, Ikonomidis, Ignatios, additional, Johansson, Madeleine, additional, Jordan, Jens, additional, Kario, Kazuomi, additional, Kotsis, Vasilios, additional, Kozakova, Michaela, additional, Lacolley, Patrick, additional, Lagrange, Jérémy, additional, Lakatta, Edward G., additional, Lambrinoudaki, Irene, additional, Laucyte-Cibulskiene, Agne, additional, Laurent, Stéphane, additional, Lopes, Wendell Arthur, additional, Lopez-Jaramillo, Patricio, additional, Magalhaes, Lucélia Batista Neves Cunha, additional, Magnussen, Costan G., additional, Mavraganis, Georgios, additional, Mayer, Christopher Clemens, additional, Maynard, Hannah, additional, McBride, Martin W., additional, McDonnell, Barry J., additional, McEniery, Carmel M., additional, Mota, Jorge, additional, Motl, Robert W., additional, Mozos, Ioana, additional, Muiesan, Maria Lorenza, additional, Muñoz, Ernesto Cardona, additional, Narkiewicz, Krzysztof, additional, Nemcsik, János, additional, Neves, Mario Fritsch, additional, Nilsson, Jan, additional, Nilsson, Peter M., additional, Oberhoffer-Fritz, Renate, additional, Ochoa, Juan Eugenio, additional, Okawa, Jaqueline Lyrio Bermudes, additional, Okawa, Rogério Toshiro Passos, additional, Olesen, Thomas Bastholm, additional, Oliveira, José, additional, Oliveras, Anna, additional, Hecht Olsen, Michael, additional, Ortiz, Luis Garcia, additional, Pahkala, Katja, additional, Paini, Anna, additional, Palombo, Carlo, additional, Parati, Gianfranco, additional, Park, Chloe, additional, Pavlidis, George, additional, Piani, Federica, additional, Pierce, Gary L., additional, Pizzala, Pablo G., additional, Protogerou, Athanase D., additional, Pucci, Giacomo, additional, Pupi, Luis María, additional, Pupi, Pablo María, additional, Raitakari, Olli T., additional, Rajkumar, C., additional, Ramirez, Agustín, additional, Raso, Francesco Mattace, additional, Recchia, Fabio Anastasio, additional, Regnault, Veronique, additional, Rietzschel, Ernst, additional, Rizzoni, Damiano, additional, Rodilla, Enrique, additional, Rovio, Suvi P., additional, Ryliskyte, Ligita, additional, Salvi, Paolo, additional, Sanchez, Ramiro, additional, Sáry, Javier Osvaldo, additional, Schillaci, Giuseppe, additional, Schmidt-Trucksäss, Arno, additional, Scuteri, Angelo, additional, Segers, Patrick, additional, Sharman, James, additional, Sierra, Cristina, additional, Stamatelopoulos, Kimon, additional, Steckelings, Ulrike M., additional, Stehouwer, Coen D.A., additional, Stoner, Lee, additional, Taddei, Stefano, additional, Terentes-Printzios, Dimitrios, additional, Tomiyama, Hirofumi, additional, Trivett, Cara, additional, Tsioufis, Costas, additional, Turroni, Silvia, additional, Urbina, Elaine M., additional, Van Bortel, L., additional, van de Laar, Roel J., additional, van der Heide, Frank C.T., additional, Vázquez, Susana, additional, Vishram-Nielsen, Julie, additional, Vlachopoulos, Charalambos, additional, Vlastos, Dimitrios, additional, Walker, Ashley, additional, Wang, Mingyi, additional, Weber, Thomas, additional, Xaplanteris, Panagiotis, additional, Zanoli, Luca, additional, and Zhou, Manshi, additional
Published: 2024
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34. Simulation of Multispectral and Hyperspectral EO Products for Onboard Machine Learning Application.

Author: Nicolas Longépé, Isabella Petrelli, Nika Oman Kadunc, Devis Peressutti, Roberto Del Prete, Mauro Casaburi, Irina Babkina, Nathan Vercruyssen, Elisa Callejo Luis, álvaro Morón Elorza, Valentina Marchese, Agne Paskeviciute Kidron, and Nicola Melega
Published: 2024
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35. Breaking bad: Malfunctioning control institutions erode good behavior in a cheating game.

Author: Rustamdjan Hakimov and Agne Kajackaite
Published: 2024
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36. The Reality of High Performing Deep Learning Models: A Case Study on Document Image Classification.

Author: Saifullah Saifullah, Stefan Agne, Andreas Dengel 0001, and Sheraz Ahmed
Published: 2024
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37. Probabilistic Model for Assessing the Effects of the Disruptive Events on the Viability of the Agri-Food Supply Chains: The Case of Lithuania.

Author: Tomas Balezentis, Agne Zickiene, Artiom Volkov, Dalia Streimikiene, Mangirdas Morkunas, Vida Dabkiene, and Erika Ribasauskiene
Published: 2024
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38. SGLT2-Inhibition in Patients With Alport Syndrome

Author: Boeckhaus, Jan, Gale, Daniel P., Simon, James, Ding, Jie, Zhang, Yanqin, Bergmann, Carsten, Turner, A. Neil, Hall, Matthew, Sayer, John A., Srivastava, Shalabh, Kang, Hee Gyung, Cerkauskaite-Kerpauskiene, Agne, Gillion, Valentine, Claes, Kathleen J., Krueger, Bastian, de Fallois, Jonathan, Walden, Ulrike, Choi, Mira, Schueler, Markus, Mueller, Roman-Ulrich, Todorova, Polina, Hohenstein, Bernd, Zeisberg, Michael, Friede, Tim, Knebelmann, Bertrand, Halbritter, Jan, and Gross, Oliver
Published: 2024
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39. Promotion of hMDSC differentiation by combined action of scaffold material and TGF-β superfamily growth factors

Author: Mazetyte-Godiene, Airina, Vailionyte, Agne, Jelinskas, Tadas, Denkovskij, Jaroslav, and Usas, Arvydas
Published: 2024
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40. Impact of stacking sequence on burst pressure in glass/epoxy Type IV composite overwrapped pressure vessels for CNG storage

Author: Agne, Lucas L., Almeida Jr, José Humberto S., Amico, Sandro C., and Tonatto, Maikson L.P.
Published: 2024
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41. Risk-adjusted Screening for Prostate Cancer—Defining the Low-risk Group by Data from the PROBASE Trial

Author: Krilaviciute, Agne, Kaaks, Rudolf, Seibold, Petra, de Vrieze, Maxime, Lakes, Jale, Radtke, Jan Philipp, Kuczyk, Markus, Harke, Nina N., Debus, Jürgen, Fink, Christoph A., Herkommer, Kathleen, Gschwend, Jürgen E., Meissner, Valentin H., Benner, Axel, Kristiansen, Glen, Hadaschik, Boris, Arsov, Christian, Schimmöller, Lars, Antoch, Gerald, Giesel, Frederik L., Makowski, Marcus, Wacker, Frank, Schlemmer, Heinz-Peter, Becker, Nikolaus, and Albers, Peter
Published: 2024
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42. Features and outcomes of female and male patients requiring postcardiotomy extracorporeal life support

Author: Heuts, Samuel, Conci, Luca, Szalkiewicz, Philipp, Lehmann, Sven, Khalil, Jawad, Obadia, Jean-Francois, Kalampokas, Nikolaos, Jankuviene, Agne, Flecher, Erwan, Reis Miranda, Dinis Dos, Sriranjan, Kogulan, Herr, Daniel, Vedadi, Nazli, Di Eusanio, Marco, MacLaren, Graeme, Ramanathan, Kollengode, Costetti, Alessandro, Schmid, Chistof, Castillo, Roberto, Grus, Tomas, Mikulenka, Vladimir, Solinas, Marco, Mariani, Silvia, Ravaux, Justine Mafalda, van Bussel, Bas C.T., De Piero, Maria Elena, van Kruijk, Sander M.J., Schaefer, Anne-Kristin, Wiedemann, Dominik, Saeed, Diyar, Pozzi, Matteo, Loforte, Antonio, Boeken, Udo, Samalavicius, Robertas, Bounader, Karl, Hou, Xiaotong, Bunge, Jeroen J.H., Buscher, Hergen, Salazar, Leonardo, Meyns, Bart, Mazzeffi, Michael A., Matteucci, Sacha, Sponga, Sandro, Sorokin, Vitaly, Russo, Claudio, Formica, Francesco, Sakiyalak, Pranya, Fiore, Antonio, Camboni, Daniele, Raffa, Giuseppe Maria, Diaz, Rodrigo, Wang, I-wen, Jung, Jae-Seung, Belohlavek, Jan, Pellegrino, Vin, Bianchi, Giacomo, Pettinari, Matteo, Barbone, Alessandro, Garcia, José P., Shekar, Kiran, Whitman, Glenn J.R., and Lorusso, Roberto
Published: 2024
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43. Breaking bad: Malfunctioning control institutions erode good behavior in a cheating game

Author: Hakimov, Rustamdjan and Kajackaite, Agne
Published: 2024
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44. Synthesis of praseodymium doped lutetium and gadolinium aluminum garnets modified by scandium and boron to improve luminescence properties

Author: Inkrataite, Greta, Keil, Jan-Niklas, Kizalaite, Agne, Jüstel, Thomas, and Skaudzius, Ramunas
Published: 2024
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45. Effects of cooperative and uncooperative narratives on trust during the COVID-19 pandemic: Experimental evidence

Author: Galdikiene, Laura, Jaraite, Jurate, and Kajackaite, Agne
Published: 2024
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46. Concepts for the Development of Person-Centered, Digitally Enabled, Artificial Intelligence–Assisted ARIA Care Pathways (ARIA 2024)

Author: Bousquet, Jean, Schünemann, Holger J., Sousa-Pinto, Bernardo, Zuberbier, Torsten, Togias, Alkis, Samolinski, Boleslaw, Bedbrook, Anna, Czarlewski, Wienczyslawa, Hofmann-Apitius, Martin, Litynska, Justyna, Vieira, Rafael José, Anto, Josep M., Fonseca, Joao A., Brozek, Jan, Bognanni, Antonio, Brussino, Luisa, Canonica, G. Walter, Cherrez-Ojeda, Ivan, Cruz, Alvaro A., Vecillas, Leticia de las, Dykewicz, Mark, Gemicioglu, Bilun, Giovannini, Mattia, Haahtela, Tari, Jacobs, Marc, Jacomelli, Cristina, Klimek, Ludger, Kvedariene, Violeta, Larenas-Linnemann, Desiree E., Louis, Gilles, Lourenço, Olga, Leemann, Lucas, Morais-Almeida, Mario, Neves, Ana Luisa, Nadeau, Kari C., Nowak, Artur, Palamarchuk, Yuliia, Palkonen, Susanna, Papadopoulos, Nikolaos G., Parmelli, Elena, Pereira, Ana Margarida, Pfaar, Oliver, Regateiro, Frederico S., Savouré, Marine, Taborda-Barata, Luis, Toppila-Salmi, Sanna K., Torres, Maria J., Valiulis, Arunas, Ventura, Maria Teresa, Williams, Sian, Yepes-Nuñez, Juan J., Yorgancioglu, Arzu, Zhang, Luo, Zuberbier, Jaron, Abdul Latiff, Amir Hamzah, Abdullah, Baharudin, Agache, Ioana, Al-Ahmad, Mona, Al-Nesf, Maryam Ali, Al Shaikh, Nada A., Amaral, Rita, Ansotegui, Ignacio J., Asllani, Julijana, Balotro-Torres, Maria Cristina, Bergmann, Karl-Christian, Bernstein, Jonathan A., Bindslev-Jensen, Carsten, Blaiss, Michael S., Bonaglia, Cristina, Bonini, Matteo, Bossé, Isabelle, Braido, Fulvio, Caballero-Fonseca, Fernan, Camargos, Paulo, Carreiro-Martins, Pedro, Casale, Thomas, Castillo-Vizuete, José-Antonio, Cecchi, Lorenzo, Teixeira, Maria do Ceu, Chang, Yoon-Seok, Loureiro, Claudia Chaves, Christoff, George, Ciprandi, Giorgio, Cirule, Ieva, Correia-de-Sousa, Jaime, Costa, Elisio M., Cvetkovski, Biljana, de Vries, Govert, Del Giacco, Stefano, Devillier, Philippe, Dokic, Dejan, Douagui, Habib, Durham, Stephen R., Enecilla, Maria Lourdes, Fiocchi, Alessandro, Fokkens, Wytske J., Fontaine, Jean-François, Gawlik, Radoslaw, Gereda, Jose E., Gil-Mata, Sara, Giuliano, Antonio F.M., Gotua, Maia, Gradauskiene, Brigita, Guzman, Maria Antonieta, Hossny, Elham, Hrubiško, Martin, Iinuma, Tomohisa, Irani, Carla, Ispayeva, Zhanat, Ivancevich, Juan Carlos, Jartti, Tuomas, Jeseňák, Miloš, Julge, Kaja, Jutel, Marek, Kaidashev, Igor, Bennoor, Kazi S., Khaltaev, Nicolai, Kirenga, Bruce, Kraxner, Helga, Kull, Inger, Kulus, Marek, Kuna, Piotr, Kupczyk, Maciej, Kurchenko, Andriy, La Grutta, Stefania, Lane, Stephen, Miculinic, Neven, Lee, Sang Min, Le Thi Tuyet, Lan, Lkhagvaa, Battur, Louis, Renaud, Mahboub, Bassam, Makela, Mika, Makris, Michael, Maurer, Marcus, Melén, Eric, Milenkovic, Branislava, Mohammad, Yousser, Moniuszko, Marcin, Montefort, Stephen, Moreira, Andre, Moreno, Pablo, Mullol, Joaquim, Nadif, Rachel, Nakonechna, Alla, Navarro-Locsin, Cecilia Gretchen, Neffen, Hugo E., Nekam, Kristof, Niedoszytko, Marek, Nunes, Elizabete, Nyembue, Dieudonné, O’Hehir, Robyn, Ollert, Markus, Ohta, Ken, Okamoto, Yoshitaka, Okubo, Kimihiro, Olze, Heidi, Padukudru, Mahesh Anand, Palomares, Oscar, Pali-Schöll, Isabella, Panzner, Petr, Palosuo, Kati, Park, Hae S., Passalacqua, Giovanni, Patella, Vincenzo, Pawankar, Ruby, Pétré, Benoît, Pitsios, Constantinos, Plavec, Davor, Popov, Todor A., Puggioni, Francesca, Quirce, Santiago, Raciborski, Filip, Ramonaité, Agné, Recto, Marysia, Repka-Ramirez, Susana, Roberts, Graham, Robles-Velasco, Karla, Roche, Nicolas, Rodriguez-Gonzalez, Monica, Romualdez, Joel A., Rottem, Menachem, Rouadi, Philip W., Salapatas, Marianella, Sastre, Joaquin, Serpa, Faradiba S., Sayah, Zineb, Scichilone, Nicola, Senna, Gianenrico, Sisul, Juan Carlos, Solé, Dirceu, Soto-Martinez, Manuel E., Sova, Milan, Sozinova, Olga, Stevanovic, Katarina, Ulrik, Charlotte Suppli, Szylling, Anna, Tan, Frances M., Tantilipikorn, Pongsakorn, Todo-Bom, Ana, Tomic-Spiric, Vesna, Tsaryk, Vladyslav, Tsiligianni, Ioanna, Urrutia-Pereira, Marilyn, Rostan, Marylin Valentin, Sofiev, Mikhail, Valovirta, Erkka, Van Eerd, Michiel, Van Ganse, Eric, Vasankari, Tuula, Vichyanond, Pakit, Viegi, Giovanni, Wallace, Dana, Wang, De Yun, Waserman, Susan, Wong, Gary, Worm, Margitta, Yusuf, Osman M., Zaitoun, Fares, and Zidarn, Mihaela
Published: 2024
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47. Scopolamine animal model of memory impairment

Author: Poceviciute, Ieva, Brazaityte, Agne, Buisas, Rokas, and Vengeliene, Valentina
Published: 2025
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48. Pre-clinical training, technical adjustment and human case experience of transoral robotic surgery using Versius System

Author: Agne, Guilherme Reimann, Bento, Gustavo Nunes, Belli, Marcelo, Pereira, Gustavo Becker, Lira, Renan Bezerra, Matos, Leandro Luongo, and Kowalski, Luiz Paulo
Published: 2025
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49. Combined full shape analysis of BOSS galaxies and eBOSS quasars using an iterative emulator

Author: Neveux, Richard, Burtin, Etienne, Ruhlmann-Kleider, Vanina, de Mattia, Arnaud, Semenaite, Agne, Dawson, Kyle S., de la Macorra, Axel, Percival, Will J., Rossi, Graziano, Schneider, Donald P., and Zhao, Gong-Bo
Subjects: Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Standard full-shape clustering analyses in Fourier space rely on a fixed power spectrum template, defined at the fiducial cosmology used to convert redshifts into distances, and compress the cosmological information into the Alcock-Paczynski parameters and the linear growth rate of structure. In this paper, we propose an analysis method that operates directly in the cosmology parameter space and varies the power spectrum template accordingly at each tested point. Predictions for the power spectrum multipoles from the TNS model are computed at different cosmologies in the framework of $\Lambda \rm{CDM}$. Applied to the final eBOSS QSO and LRG samples together with the low-z DR12 BOSS galaxy sample, our analysis results in a set of constraints on the cosmological parameters $\Omega_{\rm cdm}$, $H_0$, $\sigma_8$, $\Omega_{\rm b}$ and $n_s$. To reduce the number of computed models, we construct an iterative process to sample the likelihood surface, where each iteration consists of a Gaussian process regression. This method is validated with mocks from N-body simulations. From the combined analysis of the (e)BOSS data, we obtain the following constraints: $\sigma_8=0.877\pm 0.049$ and $\Omega_{\rm m}=0.304^{+0.016}_{-0.010}$ without any external prior. The eBOSS quasar sample alone shows a $3.1\sigma$ discrepancy compared to the Planck prediction., Comment: 13 pages, 7 figures
Published: 2022
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50. Konsensusempfehlungen zur regionalen fächerübergreifenden Standardisierung der MRT-Diagnostik bei Multipler Sklerose im Großraum Essen

Author: Stettner, Mark, Wattjes, Mike P., Krüger, Karlgeorg, Pul, Refik, Fleischer, Michael, Achnitz, Ute, Agne, Heike, Bach, Kathlen, Berkenfeld, Ralf, Bongartz, Ulrike, Brüggemann, Anja, Burgsmüller, Lars, Cohnen, Joseph, Deuschl, Cornelius, Friedrich, Anke, Graziano, Patrizia, Hackert, Jana, Hapig, Beate, Henkel, Andrea, Henrich, Heike, Hükelheim-Görden, Mechthild, Kratsch, Luder, Kytzia, Danuta, Lanzman, Rotem, Heusch, Philipp, Laufenburg, Claus, Merguet, Susanne, Metz, Uwe, Montag, Michael, Obeid, Michel, Ornek, Ahmet, Peters, Sören, Plajer, Theo, Plassmann, Jürgen, Pump, Heiko, Rauchfuss-Hartych, Birgit, Reinboldt, Marcus Paul, Seng, Katja, Stauder, Michael, Wettig, Anna-Katharina, Wolters, Anna, Yilmam, Sedat, and Kleinschnitz, Christoph
Published: 2023
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