Deep learning radiomics based on multimodal imaging for distinguishing benign and malignant breast tumours by Guoxiu Lu, Guoxiu Lu, Ronghui Tian, Wei Yang, Ruibo Liu, Dongmei Liu, Zijie Xiang, Guoxu Zhang

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Dosimetric advantages of dual-layer MLC in hypofractionated stereotactic radiotherapy for multiple brain metastases: a comparative study with single-layer MLC by Changyou Zhong, Suyan Bi, Haidong Yu, Zhendong Jiang, Zhitao Dai

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Efficient sepsis detection using deep learning and residual convolutional networks by Ahmed S. Almasoud, Ghada Moh Samir Elhessewi, Munya A. Arasi, Abdulsamad Ebrahim Yahya, Menwa Alshammeri, Donia Badawood, Faisal Mohammed Nafie, Mohammed Assiri

“…Although recent technological advancements have aided sepsis detection, challenges remain in timely diagnosis using standard clinical practices. In this article, we present a new deep learning model to detect the occurrence of sepsis and the African vulture optimization algorithm (AVOA) to enhance the model performance. …”
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Peculiarities in the interaction of 6He with 197Au and 206Pb at energies close to the Coulomb barrier by Yu. E. Penionzhkevich, R. A. Astabatyan, N. A. Demekhina, R. Kalpakchieva, A. A. Kulko, S. P. Lobastov, S. M. Lukyanov, E. R. Markaryan, V. A. Maslov, Yu. A. Muzychka, Yu. Ts. Oganessian, D. N. Rassadov, N. K. Skobelev, Yu. G. Sobolev, T. Zholdybaev

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Deep learning-based feature selection for detection of autism spectrum disorder by Ibrahim Nafisah, Nermine Mahmoud, Ahmed A. Ewees, Mohamed G. Khattap, Abdelghani Dahou, Safar M. Alghamdi, Ibrahim A. Fares, Mohammed Azmi Al-Betar, Mohammed Azmi Al-Betar, Mohamed Abd Elaziz, Mohamed Abd Elaziz

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A computational chemistry-based approach to optimizing PD-1/PD-L1 inhibitors by Meijuan Zhai, Shiliang Ji, Haoran Hu, Yongjie Wu, Yi Shi, Ruifang Zhu, Yiguo Jiang, Yang Yang

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The impact of multipollutant exposure on hepatic steatosis: a machine learning-based investigation into multipollutant synergistic effects by Chunying Yan, Zhanfang Zhu, Xueyan Guo, Wei Zong, Guisheng Liu, Yan Jin, Shiyuan Cui, Fuqiang Liu, Shujuan Gao

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High-resolution cyclic framework for the Songliao Basin in northeastern China, and its implications for sedimentation and organic matter enrichment by Xinrui Wang, Yu Sun, Limin Yu, Zhenxing Tang, Baiquan Yan, Ruhao Liu

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A machine learning-based predictive model for the occurrence of lower extremity deep vein thrombosis after laparoscopic surgery in abdominal surgery by Su-Zhen Yang, Ming-Hui Peng, Quan Lin, Shi-Wei Guan, Kai-Lun Zhang, Hai-Bo Yu

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Sympathetic nerves are sparsely distributed in rat mesenteric perivascular adipose tissue by William F. Jackson, Emma D. Flood, D. Adam Lauver, Gregory D. Fink, Stephanie W. Watts, Brian D. Gulbransen

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Association between accelerometer-measured physical activity volume and sleep duration in older adults: a cross-sectional interpretable machine learning analysis by XiaoTao Cai, Yi Xian, YuXin Zhou, TongYi Liu, Xinyue Zhang, Qing Chen

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The capacity and training needs of primary health care workers in Nyeri and Nakuru counties of Kenya: a cross-sectional study by Josphat Martin Muchangi, Kioko Kithuki, Sarah Jebet Kosgei, Mary Mathenge, Deborah Kioko, Bryson Sifuma, Billian Sawenja, Samuel Kamau

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The Michigan Model of Infant Mental Health Home Visiting increases preventative services while decreasing emergency services for children by Jerrica Pitzen, Danielle Rice, Barbara Durán, Jennifer Jester, Jessica Riggs, Megan Julian, Brendan Appold, Maria Muzik, Katherine Rosenblum, Michigan Collaborative for Infant Mental Health, Emily Alfafara, Carla Barron, Holly E. Brophy-Herb, Nora L. Erickson, Hiram E. Fitzgerald, Alissa C. Huth-Bocks, Meriam Issa, Jennifer M. Jester, Megan M. Julian, Jamie M. Lawler, Rena Menke, Alyssa S. Meuwissen, Alison L. Miller, Maria Muzik, Larissa N. Niec, Jerrica Pitzen, Julie Ribaudo, Jessica Riggs, Katherine L. Rosenblum, Sarah E. Shea, Paul Spicer, Ann M. Stacks, Chioma Torres, Laurie Van Egeren, Rachel Waddell, Christopher L. Watson, Deborah J. Weatherston, Kristyn VanDahm

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Identification of QTLs associated with opaque2 modifiers influencing kernel opacity, kernel hardness, and tryptophan content in quality protein maize by Diksha Jasrotia, Sushil Kumar, Yashmeet Kaur, Yashmeet Kaur, Abhijit Kumar Das, Alla Singh, Dharam Paul, Shanu Shukla, Priti Sharma, Sujay Rakshit, Ramesh Kumar

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Evaluation of the effects of clearing agents, fixation, and process durations on cardiovascular tissue imaging with second harmonic generation and multi-photon modalities by Maedeh Makki, Zachary A. Molander, Sergio A. Pineda-Castillo, Devin W. Laurence, Shubhra Singhal, Yasmin Eltwafsha, Gerhard A. Holzapfel, Gerhard A. Holzapfel, Tingting Gu, Chung-Hao Lee

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Supramolecular nanofibers of natural asiaticoside for self-supporting gelation and enhanced transdermal delivery by Xixi Hu, Shuang Tian, Jiao Wang, Weixi Luo, Jiangli Yao, Rui Zhu, Yiyuan Dai, Hongyun Li, Yuhua Ma, Chen Liu, Wenping Wang

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Development of machine learning algorithms to predict viral load suppression among HIV patients in Conakry (Guinea) by Degninou Yehadji, Degninou Yehadji, Geraldine Gray, Carlos Arias Vicente, Petros Isaakidis, Petros Isaakidis, Abdourahimi Diallo, Saa Andre Kamano, Thierno Saidou Diallo

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Machine-learning-based reconstruction of long-term global terrestrial water storage anomalies from observed, satellite and land-surface model data by N. Mandal, P. Das, K. Chanda, K. Chanda

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The Middle to Late Triassic of Central Saudi Arabia with emphasis on the Jilh Formation. Part I: lithostratigraphy, facies and paleoenvironments, palaeontology and biostratigraphic... by Le Nindre, Yves-Michel, Vaslet, Denis, Vrielynck, Bruno, Krystyn, Leopold, Manivit, Jacques, Memesh, Abdullah, Davies, Roger Brett

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A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) by M. Plante, J.-F. Lemieux, L. B. Tremblay, A. Bouchat, D. Ringeisen, D. Ringeisen, P. Blain, S. Howell, M. Brady, A. S. Komarov, B. Duval, L. Yakuden, F. Labelle

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