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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Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart Study by Paul Rogers, Thomas McCall, Ying Zhang, Jessica Reese, Dong Wang, Weida Tong

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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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Carbon balance dynamic evolution and simulation coupling economic development and ecological protection: a case study of Jiangxi Province at county scale from 2000–2030 by Yuliang Deng, Min Huang, Daohong Gong, Yong Ge, Hui Lin, Daoye Zhu, Yong Chen, Orhan Altan

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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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Analysis and Identification of Factors Influencing the Survival of Burn Injury Patients with an Artificial Intelligence Approach by Sara Hashemi, Shahla Faramarzi, Laya Rahmani Pirouz, Azita Yazdani

“…The results obtained from identified influential factors can assist data science researchers in the data understanding phase and can serve as a roadmap in collecting the initial dataset.…”
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Deciphering Design of Aggregation‐Induced Emission Materials by Data Interpretation by Junyi Gong, Ziwei Deng, Huilin Xie, Zijie Qiu, Zheng Zhao, Ben Zhong Tang

“…Abstract This work presents a novel methodology for elucidating the characteristics of aggregation‐induced emission (AIE) systems through the application of data science techniques. A new set of chemical fingerprints specifically tailored to the photophysics of AIE systems is developed. …”
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Mean field limits of co-evolutionary signed heterogeneous networks by Marios Antonios Gkogkas, Christian Kuehn, Chuang Xu

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Change in Antimicrobial Therapy Based on Bronchoalveolar Lavage Data Improves Outcomes in ICU Patients with Suspected Pneumonia by Bharti Chogtu, Vrinda Mariya Elenjickal, Dharma U. Shetty, Mahsheeba Asbin, Vasudeva Guddattu, Rahul Magazine

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Effects of a synthetic analog of the bovine appeasing pheromone on the overall welfare of dairy calves from birth through weaning by J. Garcia-Alvarez, E. Teruel, A. Cozzi, E. Harris, S.M. Rutter, A. Beaver

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Conceptual model of sustainable development of pedagogical staff competences in quality assurance of higher education by Andrii Biloshchytskyi, Andrii Biloshchytskyi, Oleksandr Kuchanskyi, Oleksandr Kuchanskyi, Oleksandr Kuchanskyi, Yurii Andrashko, Aidos Mukhatayev, Khanat Kassenov

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Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook by Abdul Majeed, Safiullah Khan, Seong Oun Hwang

“…It facilitates unconstrained analysis of published data that DP and the other latest techniques cannot offer, and it is a mainstream solution for responsible data science. In this paper, we present a comprehensive analysis of clustering-based anonymization mechanisms (CAMs) that have been recently proposed to preserve both privacy and utility in data publishing. …”
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Integrated AutoML-based framework for optimizing shale gas production: A case study of the Fuling shale gas field by Tianrui Ye, Jin Meng, Yitian Xiao, Yaqiu Lu, Aiwei Zheng, Bang Liang

“…The results empower domain experts to conduct more precise and objective data-driven analyses and optimizations for shale gas production with minimal expertise in data science.…”
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Six-year performance of risk-based selection for lung cancer screening in the Manchester Lung Health Check cohort by Matthew Sperrin, Haval Balata, Richard Booton, Hilary A Robbins, Philip A J Crosbie, Patrick Goodley

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