Cardiometabolic index as a predictor of gallstone risk: evidence from NHANES 2017–2020 by Huachao Zheng, Bo Wu, Caixiang Zhuang, Jiesheng Mao, Min li, Yuncheng Luo, Lidong Huang, Sisi Lin, Feiyang Zhao, Yiren Hu

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A 3D acid fracturing design calibrated to describe the productivity index in several southwestern Iranian oil fields by Mohammad Mirhashemi, Kaveh Ahangari, Ali Naghi Dehghan, Kamran Goshtasbi

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Deep Residual Network With Integrated StarDist Nuclei Segmentation for Papillary Thyroid Cancer Identification: A Pathologist-Inspired Approach by Nabila Husna Shabrina, Dadang Gunawan, Mia Rizkinia, Agnes Stephanie Harahap, Mohammad Ikhsan, Rifai Chai, Maria Francisca Ham

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Fusing Multisource A-Train Satellites and Reanalysis Data for a Comprehensive Deep Convective System Dataset by Xiaoyu Hu, Lang Zhang, Jinming Ge, Qingyu Mu, Meihua Wang, Bochun Liu, Jiajing Du, Zihang Han, Leyi Wang, Hui Wang, Ruilin Zhou

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AI Painting Effect Evaluation of Artistic Improvement with Cross-Entropy and Attention by Yihuan Tian, Shiwen Lai, Zuling Cheng, Tao Yu

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Addressing long-tailed distribution in judicial text for criminal motive classification: a balanced contrastive learning approach by Ting Li, Lewen Mi, Xiangyu Meng, Yongju Jia, Lin Zhao, Qi Zhao, Zihao Wei, Guandong Gao, Xiangxian Li

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The J-PLUS collaboration. Additive versus multiplicative systematics in surveys of the large scale structure of the Universe by Carlos Hernández-Monteagudo, G. Aricò, J. Chaves-Montero, L. R. Abramo, P. Arnalte-Mur, A. Hernán-Caballero, Francisco José Galindo-Guil, C. López-Sanjuan, V. Marra, R. von Marttens, E. Tempel, J. Cenarro, D. Cristóbal-Hornillos, A. Marín-Franch, M. Moles, J. Varela, H. Vázquez Ramió, J. Alcaniz, R. Dupke, A. Ederoclite, L. Sodré Jr., R. E. Angulo

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Radiomics, Pathomics and Connectomics by Debora GIL RESINA GIL RESINA

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An Intellectual–Analytical Platform for Assessing the Psychophysiological Load on Flight Instructors by Miroslav Kelemen, Volodymyr Polishchuk, Martin Kelemen, Miroslav Badida, Marek Moravec

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Buoyant Flow and Thermal Analysis in a Nanofluid-Filled Cylindrical Porous Annulus with a Circular Baffle: A Computational and Machine Learning-Based Approach by Pushpa Gowda, Sankar Mani, Ahmad Salah, Sebastian A. Altmeyer

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TourismNeuro xLSTM: neuro-inspired xLSTM for rural tourism planning and innovation by Jing Jiang, You Li, You Li

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FloodGenome: interpretable machine learning for decoding features shaping property flood risk predisposition in cities by Chenyue Liu, Ali Mostafavi

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Using Ray Tracing to Improve Bridge Monitoring With High-Resolution SAR Satellite Imagery by Zahra Sadeghi, Tim Wright, Andrew Hooper, Sivasakthy Selvakumaran

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Lightweight Detection Methods for Multi-Scale Targets in Complex Scenarios by Anjun Yu, Zhichao Rao, Yonghua Xiong, Jinhua She

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An Interdisciplinary Ecosystem for the Prevention of Cardiotoxicity in Older Patients With Breast Cancer: Protocol for a Prospective and Multicentric Study by Gaia Giulia Angela Sacco, Ketti Mazzocco, Anastasia Constantinidou, Andri Papakonstantinou, Davide Mauri, Grigorios Kalliatakis, Manolis Tsiknakis, Domen Ribnikar, Dorothea Tsekoura, Valantis Aidarinis, Kalliopi Keramida, Panagiotis Oikonomopoulos, Athos Antoniades, Cameron Brown, Federica Rizzi, Anca Bucur, Elsa Pacella, Georgia Karanasiou, Daniela Cardinale, Carlo Cipolla, Elisabetta Munzone, Dimitrios Fotiadis, Giuseppe Curigliano, Gabriella Pravettoni

“…ObjectiveUsing an innovative eHealth approach combining the CARDIOCARE (An Interdisciplinary Approach for the Management of the Elderly Multimorbid Patient with Breast Cancer Therapy Induced Cardiac Toxicity—grant agreement 945175) mobile app and technologically advanced wearable devices (ie, the Garmin Venu SQ watch and Polar H10 sensor), the CARDIOCARE prospective study pursues a twofold aim: (1) testing the effectiveness of the CARDIOCARE mobile app to monitor and assess the intrinsic capacity and QoL of older patients with breast cancer and evaluating the CARDIOCARE eHealth interventions’ effectiveness on these parameters and (2) developing a holistic, patient-centered risk prediction model specific for the detection of cardiotoxicity before it clinically emerges. …”
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Application of Path Planning and Tracking Control Technology in Mower Robots by Lixing Liu, Hongjie Liu, Xu Wang, Jianping Li, Pengfei Wang, Shuteng Liu, Jinxuan Zou, Xin Yang

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Molecular Structure and Biosynthesis of Pyoverdines Produced by <i>Pseudomonas fulva</i> by Eri Ochiai, Takeru Kawabe, Masafumi Shionyu, Makoto Hasegawa

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Chinese primary knee osteoarthritis progression cohort (CPKOPC) to evaluate the progression of knee osteoarthritis in the Beijing population: a prospective cohort study protocol by Lin Zeng, Minwei Zhao, Yupeng Liang, Xinguang Wang, Hua Tian

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Design and synthesis of 4-nitroimidazole derivatives with potential antitubercular activity by T. S. Vedekhina, M. V. Chudinov, A. Yu. Lukin

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Developing and validating a scale for assessing job net value: A case study of Generation Z employees by Honey W.S. Elgeka, Rahmat Hidayat, Aluisius H. Pratono

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