Sexual Dysfunction in Chronic Urticaria: A Systematic Review by Sarah E. Park, Elaine Ma, Caitlyn Dagenet, Maria A. Aleshin, Heather M. Holahan, Vivian Y. Shi, Jennifer L. Hsiao

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Climate change and neurological diseases: report from the Hot Brain 2: Climate Change and Brain Health meeting, 2024 by Sanjay M Sisodiya, Shakoor Hajat, Oliver Jones, Derk-Jan Dijk, Marina Romanello, Lisa Page, Jason Berwick, Kristie Ebi, Susan Clayton, Medine I Gulcebi, Candice Howarth, James D Mills, Jo Allatt, Action Amos, Jack Atkinson, Kimberly C Doell, Candace C Fleischer, Mark Maslin, Lisa Vanhala

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High-temperature structural disorders stabilize hydrous aluminosilicates in the mantle transition zone by Baoyun Wang, Jin Liu, Yanyao Zhang, Baisheng Nie, Wei Yang, Jialong Hao, Xing Ding, Yongjun Tian

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Micro-PET/CT Monitoring of Herpes Thymidine Kinase Suicide Gene Therapy in a Prostate Cancer Xenograft: The Advantage of a Cell-specific Transcriptional Targeting Approach by Mai Johnson, Makoto Sato, Jeremy Burton, Sanjiv S. Gambhir, Michael Carey, Lily Wu

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Could hypoxic conditioning augment the potential of mesenchymal stromal cell-derived extracellular vesicles as a treatment for type 1 diabetes? by Cathal Patrick Forkan, Aruna Shrestha, Alfred Yu, Christine Chuang, Flemming Pociot, Reza Yarani

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Plasticity of the Primary Motor Cortex in Patients with Primary Brain Tumors by Nathan W. Kong, William R. Gibb, Suvarna Badhe, Benjamin P. Liu, Matthew C. Tate

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Discovery and Spectroscopic Confirmation of Aquarius III: A Low-mass Milky Way Satellite Galaxy by W. Cerny, A. Chiti, M. Geha, B. Mutlu-Pakdil, A. Drlica-Wagner, C. Y. Tan, M. Adamów, A. B. Pace, J. D. Simon, D. J. Sand, A. P. Ji, T. S. Li, A. K. Vivas, E. F. Bell, J. L. Carlin, J. A. Carballo-Bello, A. Chaturvedi, Y. Choi, A. Doliva-Dolinsky, O. Y. Gnedin, G. Limberg, C. E. Martínez-Vázquez, S. Mau, G. E. Medina, M. Navabi, N. E. D. Noël, V. M. Placco, A. H. Riley, I. U. Roederer, G. S. Stringfellow, C. R. Bom, P. S. Ferguson, D. J. James, D. Martínez-Delgado, P. Massana, D. L. Nidever, J. D. Sakowska, L. Santana-Silva, N. F. Sherman, E. J. Tollerud, DELVE Collaboration

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Evolution of Artificial Intelligence in Medical Education From 2000 to 2024: Bibliometric Analysis by Rui Li, Tong Wu

“…The United States emerged as the lead contributor due to its high productivity and recognition levels. Stanford University, Johns Hopkins University, National University of Singapore, Mayo Clinic, University of Arizona, and University of Toronto were representative institutions in their respective fields. …”
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The Obesity Paradox and Cardiorespiratory Fitness by Paul A. McAuley, Nancy S. Smith, Brian T. Emerson, Jonathan N. Myers

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Structure and function of a near fully-activated intermediate GPCR-Gαβγ complex by Maxine Bi, Xudong Wang, Jinan Wang, Jun Xu, Wenkai Sun, Victor Ayo Adediwura, Yinglong Miao, Yifan Cheng, Libin Ye

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Estimation and prediction method of lithium battery state of health based on ridge regression and gated recurrent unit by Ziwei Dai, Aikui Li, Wei Sun, Shenwu Zhang, Hao Zhou, Ren Rao, Quan Luo

“…It is necessary to extract sensitivity indicators from electrical parameters such as voltage, current, and temperature. Utilising the Stanford‐MIT Research Institute battery dataset, this paper selects batteries with over 1000 cycles and five distinct charging and discharging strategies as samples. …”
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Endovascular intervention in patients with blunt traumatic thoracic aortic injury: Early results by Hasan Toz, Yusuf Kuserli, Gulsum Turkyilmaz, Saygin Turkyilmaz, Ali Aycan Kavala

“…Material and Methods: Our retrospective study included 70 patients who underwent TEVAR for Stanford Type B aortic dissection due to blunt aortic injury. …”
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MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition by S. Raghavendra, S. K. Abhilash, Venu Madhav Nookala, Jayashree Shetty, Praveen Gurunath Bharathi

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Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

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Fine-Grained Classification via Hierarchical Feature Covariance Attention Module by Yerim Jung, Nur Suriza Syazwany, Sujeong Kim, Sang-Chul Lee

“…Our experiments are conducted on three datasets, CUB-200-2011, Stanford Cars, and FGVC-Aircraft, primarily used for fine-grained classification tasks. …”
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Deep Learning for Spectroscopic X‐ray Nano‐Imaging Denoising by Tianyu Fu, Kai Zhang, Qingxi Yuan, Jizhou Li, Piero Pianetta, Yijin Liu

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Weak magnetism of Martian impact basins may reflect cooling in a reversing dynamo by S. C. Steele, R. R. Fu, A. Mittelholz, A. I. Ermakov, R. I. Citron, R. J. Lillis

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Respiratory Motion Compensation Using Diaphragm Tracking for Cone-Beam C-Arm CT: A Simulation and a Phantom Study by Marco Bögel, Hannes G. Hofmann, Joachim Hornegger, Rebecca Fahrig, Stefan Britzen, Andreas Maier

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Considerations in the search for epistasis by Marleen Balvert, Johnathan Cooper-Knock, Julian Stamp, Ross P. Byrne, Soufiane Mourragui, Juami van Gils, Stefania Benonisdottir, Johannes Schlüter, Kevin Kenna, Sanne Abeln, Alfredo Iacoangeli, Joséphine T. Daub, Brian L. Browning, Gizem Taş, Jiajing Hu, Yan Wang, Elham Alhathli, Calum Harvey, Luna Pianesi, Sara C. Schulte, Jorge González-Domínguez, Erik Garrisson, Lorentz workshop on epistasis, Michael P. Snyder, Alexander Schönhuth, Letitia M. F. Sng, Natalie A. Twine

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The spatiotemporal evolution and prediction of vegetation NPP in the Huangshui River Basin of Qilian Mountains by Sujing Ding, Qiang Sun, Yan Guo, Xiao Wei

“…Accordingly, this study initially sought to quantify the vegetation NPP data within the HRB from 2000 to 2019 through the implementation of an improved Carnegie-Ames-Stanford Approach (CASA) model. Subsequently, it endeavoured to elucidate the spatiotemporal evolution patterns and influencing factors of vegetation NPP within the HRB over the years. …”
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