An Inverted Residual Cross Head Knowledge Distillation Network for Remote Sensing Scene Image Classification by Cuiping Shi, Mengxiang Ding, Liguo Wang

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Forecasting the Sugarcane Yields Based on Meteorological Data Through Ensemble Learning by Sumit Kumar, Millie Pant, Atulya Nagar

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Association between obesity indexes and chronic kidney disease risk: a double-cohort prospective study in the Binhai and UK Biobank by Suhua Gao, Suhua Gao, Yixi Liu, Yixi Liu, Yixi Liu, Hongyan Liu, Hongyan Liu, Yao Lin, Yao Lin, Pufei Bai, Pufei Bai, Fang Hou, Shan Lu, Shan Lu, Saijun Zhou, Saijun Zhou, Haizhen Sun, Haizhen Sun, Guangyang Ma, Guangyang Ma, Hao Liu, Mianzhi Zhang, Zhuang Cui, Pei Yu, Pei Yu

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A Modified MobileNetv3 Coupled With Inverted Residual and Channel Attention Mechanisms for Detection of Tomato Leaf Diseases by Rubina Rashid, Waqar Aslam, Romana Aziz, Ghadah Aldehim

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Ablation of LAT2 Transporter Causes Intramuscular Glutamine Accumulation and Inhibition of Fasting‐Induced Proteolysis by Meritxell Espino‐Guarch, Susie Shih Yin Huang, Clara Vilches, Esther Prat, Rana El Nahas, Ghalia Missous, Susanna Bodoy, Abbirami Sathappan, Mohammad Ameen Al‐Aghbar, Clara Mayayo, Montse Olivé, Silvia Busquets‐Rius, David Sebastián, Antonio Zorzano, Manuel Palacin, Nicholas vanPanhuys, Virginia Nunes

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Medical data sharing and synthetic clinical data generation – maximizing biomedical resource utilization and minimizing participant re-identification risks by Simeone Marino, Ruth Cassidy, Joseph Nanni, Yuxuan Wang, Yipeng Liu, Mingyi Tang, Yuan Yuan, Toby Chen, Anik Sinha, Balaji Pandian, Ivo D. Dinov, Michael L. Burns

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Exploring the potential of QSAR in the discovery of novel green TADF materials: an experimental and theoretical study by Jee Hyun Maeng, Dae Hyun Ahn, Chul Woong Joo, Jung Ho Ham, Se Chan Cha, Young Hun Jung, Jang Hyuk Kwon

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Polynomial and Differential Networks for End-to-End Autonomous Driving by Youngseong Cho, Kyoungil Lim

“…This study introduces a novel model for predicting control variables in end-to-end autonomous driving by leveraging polynomial and differential networks. …”
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Anti-Tumor Potential of Frankincense Essential Oil and Its Nano-Formulation in Breast Cancer: An In Vivo and In Vitro Study by Nouran Mohamed, Hisham Ismail, Ghada M. Nasr, Shaimaa Abdel-Ghany, Borros Arneth, Hussein Sabit

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Robust Design of a Six-Phase Segmented Switch Reluctance Motor Considering Manufacturing Tolerances and Manufacturing Processes by Farshid Mahmouditabar, Nick J. Baker

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Strategies of Interaction between Parents and Preschool Children and Features of Ideas about Parenting by T.P. Avdulova, T.V. Krotova, G.R. Khuzeeva

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Facilitating a high-quality dietary pattern induces shared microbial responses linking diet quality, blood pressure, and microbial sterol metabolism in caregiver-child dyads by Emily B. Hill, Li Chen, Michael T. Bailey, Amrik Singh Khalsa, Ross Maltz, Kelly Kelleher, Colleen K. Spees, Jiangjiang Zhu, Brett R. Loman

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Performance Projection of Gate-All-Around (GAA)-Based Negative Capacitance Complementary FET (NC-CFET) Relative to Standard CFET by Abhishek Kumar, Shruti Mehrotra, Anand Bulusu, Avirup Dasgupta

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A Proposed Deep Learning Framework for Air Quality Forecasts, Combining Localized Particle Concentration Measurements and Meteorological Data by Maria X. Psaropa, Sotirios Kontogiannis, Christos J. Lolis, Nikolaos Hatzianastassiou, Christos Pikridas

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Morbidity patterns and long-term outcomes of central lymph node dissection in thyroid cancer patients by Khalid Atallah, Shadi Awny, Khaled Abdelwahab, Ahmed Abdallah, Islam H Metwally, Omar Hamdy, Mohammed Zuhdy, Ahmed Fareed

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Pre-Harvest Aflatoxin Contamination in Crops and Climate Change Factors: A European Overview by Ainhoa Bereziartua, Anke Huss, Jannigje G. Kers, Lidwien A. M. Smit, Roel Vermeulen, Daniel Martins Figueiredo

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The value of social networks for men: concurrent and prospective associations with psychological wellbeing by Kayla Mansour, Christopher J Greenwood, Lauren M Francis, Gessica Misuraca, Khya Marabel-Whitburn, Craig A Olsson, Jacqui A Macdonald

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Identifying most important predictors for suicidal thoughts and behaviours among healthcare workers active during the Spain COVID-19 pandemic: a machine-learning approach by Itxaso Alayo, Oriol Pujol, Jordi Alonso, Montse Ferrer, Franco Amigo, Ana Portillo-Van Diest, Enric Aragonès, Andrés Aragon Peña, Ángel Asúnsolo Del Barco, Mireia Campos, Meritxell Espuga, Ana González-Pinto, Josep Maria Haro, Nieves López-Fresneña, Alma D. Martínez de Salázar, Juan D. Molina, Rafael M. Ortí-Lucas, Mara Parellada, José Maria Pelayo-Terán, Maria João Forjaz, Aurora Pérez-Zapata, José Ignacio Pijoan, Nieves Plana, Elena Polentinos-Castro, Maria Teresa Puig, Cristina Rius, Ferran Sanz, Cònsol Serra, Iratxe Urreta-Barallobre, Ronny Bruffaerts, Eduard Vieta, Víctor Pérez-Solá, Philippe Mortier, Gemma Vilagut

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Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis by Ava Mohammadi, Gonzalo Napoles, Yamisleydi Salgueiro

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Co-seismic landslides susceptibility evaluation of Bayesian random forest considering InSAR deformation: a case study of the Luding Ms6.8 earthquake by Qiang Lin, Zhihua Zhang, Zhenghua Yang, Xinxiu Zhang, Xing Rong, Shuwen Yang, Yuan Hao, Xinyu Zhu, Wei Wang

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