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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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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A Radiograph Dataset for the Classification, Localization, and Segmentation of Primary Bone Tumors by Shunhan Yao, Yuanxiang Huang, Xiaoyu Wang, Yiwen Zhang, Ian Costa Paixao, Zhikang Wang, Charla Lu Chai, Hongtao Wang, Dinggui Lu, Geoffrey I Webb, Shanshan Li, Yuming Guo, Qingfeng Chen, Jiangning Song

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A bibliometric review of functional ingredients and their efficacy in developing functional biscuits [version 3; peer review: 1 approved, 2 approved with reservations] by Kshama Vishwakarma, Varalakshmi Chandra Sekaran, Vidya Patwardhan, Asha Kamath

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Novel machine learning algorithm in risk prediction model for pan-cancer risk: application in a large prospective cohort by Chi-Pang Wen, Xifeng Wu, Qingfeng Hu, Huakang Tu, Shan Pou Tsai, David Ta-Wei Chu

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Bias-corrected serum creatinine from UK Biobank electronic medical records generates an important data resource for kidney function trajectories by Mathias Gorski, Simon Wiegrebe, Ralph Burkhardt, Merle Behr, Helmut Küchenhoff, Klaus J. Stark, Carsten A. Böger, Iris M. Heid

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Face Boundary Formulation for Harmonic Models: Face Image Resembling by Hung-Tsai Huang, Zi-Cai Li, Yimin Wei, Ching Yee Suen

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Associations between physical exercise patterns and pain symptoms in individuals with endometriosis: a cross-sectional mHealth-based investigation by Ipek Ensari, Suzanne Bakken, Sharon Lipsky-Gorman, Emma N Horan, Noémie Elhadad

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Smart surgical telementoring system with patch-to-pixel point tracking method by Yanwei Qu, Ling Li, Tongtong Li, Jieyu Zheng, Wentao Tang, Xiaojian Li

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CalciumZero: a toolbox for fluorescence calcium imaging on iPSC derived brain organoids by Xiaofu He, Yian Wang, Yutong Gao, Xuchen Wang, Zhixiong Sun, Huixiang Zhu, Kam W. Leong, Bin Xu

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A strategy to increase identification of patients with Familial Hypercholesterolemia: Application of the Simon Broome lipid criteria in a large-scale retrospective analysis by James K. Fleming, Renee M. Sullivan, David Alfego, Natalia T. Leach, Tamara J. Richman, Jill Rafalko

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Comparison of clinical variables and outcome of 2 natural equine herpesvirus myeloencephalopathy outbreaks induced by equine herpesvirus‐1 A2254/N752 strain in sport horses by María de laCuesta‐Torrado, Ana Velloso Alvarez, José Miguel Cárdenas‐Rebollo, Patricia Neira‐Egea, Valentina Vitale, Juan Cuervo‐Arango

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Adverse drug reactions, multimorbidity and polypharmacy: a prospective analysis of 1 month of medical admissions by Girvan Burnside, Munir Pirmohamed, Rostam Osanlou, Dyfrig A Hughes, Lauren Walker

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How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences by Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, Alexander Brenning, Wantong Li, Markus Reichstein, Joachim Denzler, Wei Shangguan, Guo Yu, Feini Huang, Jakob Zscheischler

“…Our goal is to facilitate a broader, yet more careful and thoughtful integration of IML into Earth science research, positioning it as a valuable data science tool capable of enhancing our current understanding of the Earth system.…”
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Validation of a Radio frequency identification system for tracking location of laying hens in a quasi-commercial aviary system by Gebhardt-Henrich, Sabine G., Kashev, Alexander, Petelle, Matthew B., Toscano, Michael J.

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