Extrinsic mortality and senescence: a guide for the perplexed by de Vries, Charlotte, Galipaud, Matthias, Kokko, Hanna

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Original vegetation condition and precipitation growth rate bifurcate sediment flux trend on the Qinghai-Tibet Plateau by Jinhao Guo, Yao Yue, Wenxin Huai, Xia Yan, Alistair G. L. Borthwick, Yuanfang Chai, Shuolin Li, Zhiwei Li, Yichu Wang, Chiyuan Miao, Zhonghua Yang

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Non-local piezoelasticity to incorporate the influence of small-scale factors on the resonance behavior of the Mindlin piezoelectric polymeric nanoplates by Narinderjit Singh Sawaran Singh, Waqed H. Hassan, Zainab Mоhammed Ameen Ahmed, Younis Mohamed Atiah Al-zahy, Soheil Salahshour, Mostafa Pirmoradian

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MBI-KG: A knowledge graph of structured and linked economic research data extracted from the 1937 book “Die Maschinen-Industrie im Deutschen Reich”MADATA by Renat Shigapov, Thomas Schmidt, Jan Kamlah, Irene Schumm, Jochen Streb, Sibylle Lehmann-Hasemeyer

“…Each entity in the knowledge graph can be exported in multiple formats, such as CSV, RDF (ttl), JSON, and NDJSON, ensuring compatibility with diverse research tools and platforms.This dataset can be reused in various research domains, including economic history, data science, and digital humanities. By providing machine-readable, structured data from a crucial historical period, the MBI-KG facilitates novel analyses and insights into the economic and industrial landscape of early 20th-century Germany. …”
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Common protocol for validation of the QCOVID algorithm across the four UK nations by Ronan A Lyons, Aziz Sheikh, Vahe Nafilyan, Frank Kee, Carol Coupland, Julia Hippisley-Cox, Chris Robertson, Ben Humberstone, Jane Lyons, Christopher R Cardwell, Steven Kerr

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Spi-VSTL: Image data collection platform using off-the shelf hardware for vertically supported crops in state-of-the-art glasshouses by Namal Jayasuriya, Malith Weerasekara, Oula Ghannoum, Yi Guo, Wen Hu

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Enhanced Optical Properties of ZnO-TiO₂ Films Through Co-Sensitization with Multiple Natural Dyes by Musyarofah Musyarofah, Inas Nuraini, Budi Prayitno, Lusi Ernawati, Andi Idhil Ismail, Triwikantoro Triwikantoro

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Relationship between parent-adolescent discrepancies in educational expectations and academic burnout: A response surface analysis by Xuanye Bai, Youzhi Song, Minlian Liang, Jia Peng, Tingting Ruan, Heping Xie

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Rapid Identification of Potassium Nutrition Stress in Rice Based on Machine Vision and Object-Oriented Segmentation by Lisu Chen, Shihan Huang, Yuanyuan Sun, Enyan Zhu, Ke Wang

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New rectum dose surface mapping methodology to identify rectal subregions associated with toxicities following prostate cancer radiotherapy by Artemis Bouzaki, Dylan Green, Marcel van Herk, Jane Shortall, Tanuj Puri, Sarah Kerns, David Azria, Marrie-Pierre Farcy-Jacquet, Jenny Chang-Claude, Ananya Choudhury, Alison Dunning, Maarten Lambrecht, Barbara Avuzzi, Dirk De Ruysscher, Petra Seibold, Elena Sperk, Christopher Talbot, Ana Vega, Liv Veldeman, Adam Webb, Barry Rosenstein, Catharine M. West, Eliana Gioscio, Tiziana Rancati, Eliana Vasquez Osorio, Alan McWilliam

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Identification of maize kernel varieties based on interpretable ensemble algorithms by Chunguang Bi, Chunguang Bi, Xinhua Bi, Jinjing Liu, Hao Xie, Shuo Zhang, He Chen, Mohan Wang, Lei Shi, Lei Shi, Shaozhong Song

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Relationship between network topology and negative electrode properties in Wadsley–Roth phase TiNb2O7 by Naoto Kitamura, Hikari Matsubara, Koji Kimura, Ippei Obayashi, Yohei Onodera, Ken Nakashima, Hidetoshi Morita, Motoki Shiga, Yasuhiro Harada, Chiaki Ishibashi, Yasushi Idemoto, Koichi Hayashi

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A Mobile Image-Driven PM2.5 Estimation Framework Using Deep Learning Techniques by Anupam Kamble, Somrawee Aramkul, Paskorn Champrasert

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Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation by Mayr W, Triantafyllopoulos A, Batliner A, Schuller BW, Berghaus TM

“…Wolfgang Mayr,1,* Andreas Triantafyllopoulos,2,3,* Anton Batliner,2,3 Björn W Schuller,2– 5 Thomas M Berghaus1,6 1Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany; 2Chair of Health Informatics (CHI), Department of Clinical Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany; 3Munich Center for Machine Learning (MCML), Munich, Germany; 4Group on Language Audio, & Music (GLAM), Imperial College, London, UK; 5Munich Data Science Institute (MDSI), Munich, Germany; 6Medical Faculty, Ludwig Maximilians University of Munich, Munich, Germany*These authors contributed equally to this workCorrespondence: Wolfgang Mayr, Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Stenglinstrasse 2, Augsburg, D-86156, Germany, Email wolfgang.mayr@uk-augsburg.de Andreas Triantafyllopoulos, Chair of Health Informatics, Department of Clinical Medicine, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Straße 22, Munich, 81675, Germany, Email andreas.triantafyllopoulos@tum.deBackground: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. …”
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A Deep Learning Approach to Classify Fabry Cardiomyopathy from Hypertrophic Cardiomyopathy Using Cine Imaging on Cardiac Magnetic Resonance by Wei-Wen Chen, Ling Kuo, Yi-Xun Lin, Wen-Chung Yu, Chien-Chao Tseng, Yenn-Jiang Lin, Ching-Chun Huang, Shih-Lin Chang, Jacky Chung-Hao Wu, Chun-Ku Chen, Ching-Yao Weng, Siwa Chan, Wei-Wen Lin, Yu-Cheng Hsieh, Ming-Chih Lin, Yun-Ching Fu, Tsung Chen, Shih-Ann Chen, Henry Horng-Shing Lu

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Influence of Support Vector Regression (SVR) on Cryogenic Face Milling by Rao M. C. Karthik, Rashmi L. Malghan, Fuat Kara, Arunkumar Shettigar, Shrikantha S. Rao, Mervin A. Herbert

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What Time Is It? Finding Which Temporal Features is More Useful for Next Activity Prediction by Lerina Aversano, Martina Iammarino, Antonella Madau, Giuseppe Pirlo, Gianfranco Semeraro

“…Process Mining merges data science and process science that allows for the analysis of recorded process data by capturing activities within event-logs. …”
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Trends in Glycemia between 2002 and 2016 among Incident Youth Cohorts Early in the Course of Type 1 Diabetes: The SEARCH for Diabetes in Youth Study by Daria Igudesman, Beth A. Reboussin, Katherine J. Souris, Catherine Pihoker, Lawrence Dolan, Jean M. Lawrence, Sharon Saydah, Dana Dabelea, Santica Marcovina, Noémie Clouet-Foraison, Faisal S. Malik, Elizabeth J. Mayer-Davis

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An Electronic Frailty Index Based on Deficit Accumulation May Predict Glaucomatous Visual Field Progression by Duy W, Pajewski N, Williamson JD, Thompson AC

“…Walter Duy,1,* Nicholas Pajewski,2 Jeff D Williamson,3 Atalie C Thompson3,4,* 1Wake Forest University School of Medicine, Winston-Salem, NC, USA; 2Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA; 3Department of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA; 4Department of Surgical Ophthalmology, Wake Forest University School of Medicine, Winston-Salem, NC, USA*These authors contributed equally to this workCorrespondence: Atalie C Thompson, Department of Surgical Ophthalmology, Atrium Health Wake Forest Baptist Health, Janeway Tower 6th Floor, Winston-Salem, NC, USA, Tel +1 (336) 716-4091, Fax +1 (336) 716-7994, Email atathomp@wakehealth.eduPurpose: To investigate whether an electronic frailty index (eFI) is associated with visual field loss in glaucoma.Patients and Methods: We identified 1163 subjects ≥ 65 years old with glaucoma (1082 right eyes and 1042 left eyes) who had a calculable baseline eFI, and who had reliable visual fields at baseline and final follow-up. …”
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Research on Business Environment Risk Governance Based on Occupational Claims: 1784 Cases of Food Safety Disputes by Jiangjie Sun, Yufei Gao, Xueli Jiang, Yan Li, Mengyao Yang, Ziyan Zhao, Hangzhou Yang, Jinliang You

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