A novel intelligent photonic design method enabled by metamaterials and k-nearest neighbor by Fan Hangming, Pan Junlin, Wang Yongchen, Yuan Zhe, Cheng Mengfan, Yang Qi, Liu Deming, Deng Lei

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In Situ XOR Encryption for Lightweight Security Using Nanoelectromechanical Physically Unclonable Functions by Changha Kim, Jin Wook Lee, Geun Tae Park, Myeong Su Shin, Seung Hun Baek, Jae Seung Woo, Woo Young Choi

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A neuromorphic processor with on-chip learning for beyond-CMOS device integration by Hugh Greatorex, Ole Richter, Michele Mastella, Madison Cotteret, Philipp Klein, Maxime Fabre, Arianna Rubino, Willian Soares Girão, Junren Chen, Martin Ziegler, Laura Bégon-Lours, Giacomo Indiveri, Elisabetta Chicca

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Interactive 3D segmentation for primary gross tumor volume in oropharyngeal cancer by Mikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, Lotta Orsmaa, Jari Kangas, Nastaran Rasouli, Roope Raisamo, Jussi Hirvonen, Helena Mehtonen, Jorma Järnstedt, Antti Mäkitie, Mohamed Naser, Clifton Fuller, Benjamin Kann, Kimmo Kaski

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Solving perfect matchings by frequency-grouped multi-photon events using a silicon chip by Pingyu Zhu, Qilin Zheng, Kun Wang, Miaomiao Yu, Gongyu Xia, Jiacheng Liu, Yong Liu, Zhihong Zhu, Ping Xu

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Bioinformatic Methodologies in Assessing Gut Microbiota by James Douglas Fox, Austin Sims, Morgan Ross, Jeffery Bettag, Alexandra Wilder, Dylan Natrop, Alison Borsotti, Sree Kolli, Shaurya Mehta, Hema Verma, Kento Kurashima, Chandrashekhara Manithody, Arun Verma, Ajay Jain

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The Key Role of 3D TEE in Assessing the Morphology of Degenerative Mitral Valve Regurgitation by Francesco Fulvio Faletra, Eluisa La Franca, Laura Anna Leo, Leyla Elif Sade, William Katz, Francesco Musumeci, Caterina Gandolfo, Michele Pilato, Manlio Cipriani

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Modular scaffolds with intelligent visual guidance system for in situ bone tissue repair by Huifeng Shao, Pengcheng Xia, Tao Zhang, Jinyuan Shi, Zhiqiang Huang, Xianqi Yuan, Zhiheng Nian, Xiao Zhao, Rougang Zhou, Youping Gong, Yong He

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Machine learning analysis of gene expression profiles of pyroptosis-related differentially expressed genes in ischemic stroke revealed potential targets for drug repurposing by Changchun Hei, Xiaowen Li, Ruochen Wang, Jiahui Peng, Ping Liu, Xialan Dong, P. Andy Li, Weifan Zheng, Jianguo Niu, Xiao Yang

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Overcoming the Barriers That Obscure the Interlinking and Analysis of Clinical Data Through Harmonization and Incremental Learning by Vasileios C. Pezoulas, Konstantina D. Kourou, Fanis Kalatzis, Themis P. Exarchos, Evi Zampeli, Saviana Gandolfo, Andreas Goules, Chiara Baldini, Fotini Skopouli, Salvatore De Vita, Athanasios G. Tzioufas, Dimitrios I. Fotiadis

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Novel machine learning paradigms-enabled methods for smart building operations in data-challenging contexts: Progress and perspectives by Fan Cheng, Lei Yutian, Mo Jinhan, Wang Huilong, Wu Qiuting, Cai Jiena

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Co-benefits for cropland yield, nitrogen emissions, and climate impact through multi-objective optimization agricultural manure solutions by Yinghua Yin, Shufang Guo, Qiyu Xu, Jian Liu, Hongyuan Wang, Yanhua Zhuang, Zhen Wang, Lingling Hua, Hongbin Liu, Limei Zhai

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A position and wave spectra dataset of Marginal Ice Zone dynamics collected around Svalbard in 2022 and 2023 by Jean Rabault, Catherine Taelman, Martina Idžanović, Gaute Hope, Takehiko Nose, Yngve Kristoffersen, Atle Jensen, Øyvind Breivik, Helge Thomas Bryhni, Mario Hoppmann, Denis Demchev, Anton Korosov, Malin Johansson, Torbørn Eltoft, Knut-Frode Dagestad, Johannes Röhrs, Leif Eriksson, Marina Durán Moro, Edel S. U. Rikardsen, Takuji Waseda, Tsubasa Kodaira, Johannes Lohse, Thibault Desjonquères, Sveinung Olsen, Olav Gundersen, Victor Cesar Martins de Aguiar, Truls Karlsen, Alexander Babanin, Joey Voermans, Jeong-Won Park, Malte Müller

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DRAFTS: A Deep-learning-based Radio Fast Transient Search Pipeline by Yong-Kun Zhang, Di Li, Yi Feng, Chao-Wei Tsai, Pei Wang, Chen-Hui Niu, Hua-Xi Chen, Yu-Hao Zhu

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Generation of field-reversed configurations via neutral beam injection by T. Roche, S. Dettrick, A. Fontanilla, S. Gupta, M. Onofri, J. A. Romero, L. C. Steinhauer, M. T. Tobin, E. M. Granstedt, L. Galeotti, S. Karbashewski, R. M. Magee, P. Yushmanov, E. Trask, H. Gota, S. Abramov, I. Allfrey, R. Andow, V. Arceo, J. Aviles, D. C. Barnes, M. Beall, N. G. Bolte, D. Bui, F. Ceccherini, R. Clary, T. DeHaas, B. Denlinger, A. Van Drie, P. Feng, D. K. Gupta, K. Hubbard, J. S. Kinley, K. Knapp, B. Koop, S. A. Korepanov, A. Korepanov, C. K. Lau, D. Lieurance, D. MacDonald, D. Madura, J. A. Margarit, J. Margo, P. Marsden Sr, T. Matsumoto, M. P. Meekins, R. Mendoza, R. Michel, H. Monkhorst, M. E. Morehouse, M. Nations, A. Necas, B. S. Nicks, R. Page, E. Parke, J. Paulson, K. Phung, T. W. Rogers, L. Schmitz, J. H. Schroeder, G. N. Settles, A. G. H. Sibley, M. Signorelli, R. J. Smith, G. L. Snitchler, V. Sokolov, Y. Song, G. Strashnoy, L. Tagney, J. B. Titus, J. Ufnal, T. Valentine, C. E. Weixel, S. Weixel, C. White, M. Wollenberg, K. Zhai, S. Ziaei, M. Tuszewski, A. Smirnov, S. Putvinski, T. Tajima, M. W. Binderbauer

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Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…It may also be worthwhile to consider adding the use of AI generative tools in article writing as part of informed consent at the start of new scientific research. …”
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AI-driven pharmacovigilance: Enhancing adverse drug reaction detection with deep learning and NLP by Dr. Bharti Khemani, Dr. Sachin Malave, Samyukta Shinde, Mandvi Shukla, Razzaq Shikalgar, Harshita Talwar

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FoodSky: A food-oriented large language model that can pass the chef and dietetic examinations by Pengfei Zhou, Weiqing Min, Chaoran Fu, Ying Jin, Mingyu Huang, Xiangyang Li, Shuhuan Mei, Shuqiang Jiang

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Using machine learning to predict the risk of developing hypertensive disorders of pregnancy using a contemporary nulliparous cohortAJOG Global Reports at a Glance by Jonathan S. Schor, PhD, Adesh Kadambi, BEng, Isabel Fulcher, PhD, Kartik K. Venkatesh, MD, PhD, Mark A. Clapp, MD, MPH, Senan Ebrahim, MD, PhD, Ali Ebrahim, PhD, Timothy Wen, MD, MPH

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Hyperspectral imaging for precision nitrogen management: A comparative exploration of two methodological approaches to estimate optimal nitrogen rate in processing tomato by Vito Aurelio Cerasola, Francesco Orsini, Giuseppina Pennisi, Gaia Moretti, Stefano Bona, Francesco Mirone, Jochem Verrelst, Katja Berger, Giorgio Gianquinto

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