A scaling law to model the effectiveness of identification techniques by Luc Rocher, Julien M. Hendrickx, Yves-Alexandre de Montjoye

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Measurement of event data from text by Patrick T. Brandt, Marcus Sianan

“…Three primary arguments are made: (1) It is important for users of event data to understand the measurement side of these data to avoid faulty inferences and make better decisions. (2) Avant-garde event data systems are still not free from some of the fundamental problems that plague legacy systems (investigated are theoretical and real-world examples of measurement issues, why they are problematic, how they are dealt with, and what is left to be desired even with newer systems). (3) One of the most crucial goals of event data science is to attain congruence between what is machine-coded/classified vs. the ground truth. …”
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Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach by Yu CS, Wu JL, Shih CM, Chiu KL, Chen YD, Chang TH

“…Cheng-Sheng Yu,1– 4,* Jenny L Wu,5,* Chun-Ming Shih,6– 8 Kuan-Lin Chiu,9 Yu-Da Chen,9,10 Tzu-Hao Chang5,11 1Graduate Institute of Data Science, College of Management, Taipei Medical University, New Taipei City, 235603, Taiwan; 2Clinical Data Center, Office of Data Science, Taipei Medical University, New Taipei City, 235603, Taiwan; 3Fintech Innovation Center, Nan Shan Life Insurance Co., Ltd., Taipei, 11049, Taiwan; 4Beyond Lab, Nan Shan Life Insurance Co., Ltd., Taipei, 11049, Taiwan; 5Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, New Taipei City, 235603, Taiwan; 6Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, 11031, Taiwan; 7Cardiovascular Research Center, Taipei Medical University Hospital, Taipei, 11031, Taiwan; 8Taipei Heart Institute, Taipei Medical University, Taipei, 11031, Taiwan; 9Department of Family Medicine, Taipei Medical University Hospital, Taipei, 11031, Taiwan; 10School of Medicine, College of Medicine, Taipei Medical University, Taipei, 11031, Taiwan; 11Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, 11031, Taiwan*These authors contributed equally to this workCorrespondence: Tzu-Hao Chang; Yu-Da Chen, Email kevinchang@tmu.edu.tw; 153072@h.tmu.edu.twPurpose: As HF progresses into advanced HF, patients experience a poor quality of life, distressing symptoms, intensive care use, social distress, and eventual hospital death. …”
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Ten simple rules for working with high resolution remote sensing data by Mahood, Adam L., Joseph, Maxwell B., Spiers, Anna I., Koontz, Michael J., Ilangakoon, Nayani, Solvik, Kylen K., Quarderer, Nathan, McGlinchy, Joe, Scholl, Victoria M., St. Denis, Lise A., Nagy, Chelsea, Braswell, Anna, Rossi, Matthew W., Herwehe, Lauren, Wasser, Leah, Cattau, Megan E., Iglesias, Virginia, Yao, Fangfang, Leyk, Stefan, Balch, Jennifer K.

“…Correct, appropriate and competent use of such data requires skills from remote sensing and the data sciences that are rarely taught together. In practice, many researchers teach themselves how to use high-resolution remote sensing data with ad hoc trial and error processes, often resulting in wasted effort and resources. …”
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Strongly Coupled Designs for Computer Experiments with Both Qualitative and Quantitative Factors by Meng-Meng Liu, Min-Qian Liu, Jin-Yu Yang

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The REpeated ASSEssment of SurvivorS in intracerebral haemorrhage: protocol for a multicentre, prospective observational study by Daniel Woo, Richard Thompson, Carl D Langefeld, Nichol McBee, Daniel Hanley, Matthew L Flaherty, Lauren Sansing, Karen Lane, Lee A Gilkerson, Achala Vagal, Nathan Walborn, Wendy Ziai, Noeleen Ostapkovich, Kevin Triene, Timothy David Howard

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Premorbid predictors of death at initial presentation of coronary heart disease in the Women's Health Initiative study by Ming-Li Chen, Jin Li, Kruthika R. Iyer, Catherine Tcheandjieu, Shirin Jimenez, Elias Levy Itshak Salfati, Liana C. Del Gobbo, Marcia L Stefanick, Manisha Desai, Xiaonan Xue, Themistocles L Assimes

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The fabrication of synthetic data promises: Tracing emerging arenas of expectations and boundary work by Louis Ravn

“…Synthetic data, denoting artificially produced data that are used for data science tasks, are increasingly held as a promising solution to digital societies’ predicaments. …”
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Context-dependent similarity analysis of analogue series for structure–activity relationship transfer based on a concept from natural language processing by Atsushi Yoshimori, Jürgen Bajorath

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Carbon Footprint Management with Industry 4.0 Technologies and Erp Systems in Sustainable Manufacturing by Yüksel Yurtay

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Connections between Robust and Bilevel Optimization by Goerigk, Marc, Kurtz, Jannis, Schmidt, Martin, Thürauf, Johannes

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Social Network Analysis of Football Communications by Finding Motifs by Amir Hossein Ahmadi, Babak Teimourpour, Mahtab Mahbood

“…Information technology and data science will significantly increase the quality of research and decisions of sports clubs and organizations. …”
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Robust Combinatorial Optimization with Locally Budgeted Uncertainty by Goerigk, Marc, Lendl, Stefan

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Dual Connectivity in Graphs by Mohammed A. Mutar, Daniele Ettore Otera, Hasan A. Khawwan

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Advancing Computational Humor: LLaMa-3 Based Generation with DistilBert Evaluation Framework by He Jinliang, Mei Aohan

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A parallel spatiotemporal deep learning network for highway traffic flow forecasting by Dongxiao Han, Juan Chen, Jian Sun

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DragGAN: Interactive Point-Based Image Manipulation on Generative Adversarial Networks by Wu Muran

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Recommendation Algorithm in Double-Layer Network Based on Vector Dynamic Evolution Clustering and Attention Mechanism by Jianrui Chen, Zhihui Wang, Tingting Zhu, Fernando E. Rosas

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Compartmental Models Driven by Renewal Processes: Survival Analysis and Applications to SVIS Epidemic Models by Divine Wanduku, Md Mahmud Hasan

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Bibliometric Analysis of Studies on the Artificial Intelligence in Science Education with VOSviewer by Hayriye Nevin Genc, Nuriye Kocak

“…The most cited used keywords were "Machine Learning" and "Artificial Intelligence", followed by "Learning Analytics", "Data Science" and "Higher Education". The findings illuminate recent research on artificial intelligence in science education. …”
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