Automatic Endoscopic Navigation for Monocular Depth and Ego-Motion Estimation in Wireless Capsule Endoscopy Through Transformer Network by Junjun Huang, Tianran He, Juan Xu, Weiting Wu, Wei Wu

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Vagus nerve stimulation ameliorates cognitive impairment caused by hypoxia by Birendra Sharma, Birendra Sharma, Krysten A. Jones, Krysten A. Jones, Laura K. Olsen, Laura K. Olsen, Raquel J. Moore, Raquel J. Moore, Frances S. Curtner, Frances S. Curtner, Candice N. Hatcher-Solis

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Declarative memory profiles in children with non-specific intellectual disability: a cluster analysis approach by Urszula Sajewicz-Radtke, Ariadna Łada-Maśko, Michał Olech, Krzysztof J. Leoniak, Bartosz M. Radtke

“…Learning potential may be a more predictive factor of functional outcomes, warranting further research and targeted interventions to enhance the adaptive capabilities in this population.…”
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Semantical and geometrical protein encoding toward enhanced bioactivity and thermostability by Yang Tan, Bingxin Zhou, Lirong Zheng, Guisheng Fan, Liang Hong

“…Deep learning methods have demonstrated remarkable performance in guiding protein modification for improved functionality. …”
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Spatiotemporal Variation in Aerosol Optical Depth and Its Potential Effects on Snowmelt in High Mountain Asia from 2004 to 2023 by Lichen Yin, Xin Wang, Wentao Du, Jizu Chen, Youyan Jiang, Weijun Sun, Chengde Yang, Bowen Li, Xingyu Xue, Changsheng Lu

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Significant associations between high-risk sexual behaviors and enterotypes of gut microbiome in HIV-negative men who have sex with men by Kangjie Li, Xinjing Liu, Xiaohua Zhong, Haijiao Zeng, Tian Liu, Bing Lin, Pinyi Chen, Biao Xie, Xiaoni Zhong

“…Enterotype clusters were determined by Jensen-Shannon divergence based on genus-level relative abundance. Microbial function predictions were conducted by PICRUSt2 software. …”
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KChIP3 fosters neuroinflammation and synaptic dysfunction in the 5XFAD mouse model of Alzheimer’s disease by Bolivar Arcos-Encarnación, Eladio Cortes-Flores, Isabel Barón-Mendoza, Jorge Luis Almazán, David Valle-García, Sol Díaz de León-Guerrero, Ladislav Hovan, Karla F. Meza-Sosa, Nohemi Camacho-Concha, Jeovanis Gil, Marieke Lydia Kuijjer, Aliesha González-Arenas, Sergio Encarnación-Guevara, Gustavo Pedraza-Alva, Leonor Pérez-Martínez

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Exploration the role of pro-inflammatory fibroblasts and related markers in periodontitis: combing with scRNA-seq and bulk-seq data by Erli Wu, Feihan Gu, Qiangqiang Zhuo, Ziyang Gao, Yu Zhang, Jingjing Li, Xuan Yin, Weimin Bao, Xianqing Zhou, Feng Liang, Shouxiang Yang, Yuanyin Wang, Qingqing Wang, Qingqing Wang, Wei Shao, Wei Shao

“…Differential gene analysis, WGCNA, and machine learning algorithms identified two genes (MME and TSPAN11) as potential therapeutic targets for periodontitis. …”
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To reveal biomarkers related to macrophage and lactic acid metabolism in renal fibrosis and explore their mechanisms by Chen Yong, Chen Yong, Yongfei Yu, Yongfei Yu, Yuan Wei, Yuan Wei, Guoshun Huang, Guoshun Huang, Lianghui Shu, Lianghui Shu, Kun Gao, Kun Gao, Kun Gao, Enchao Zhou, Enchao Zhou, Enchao Zhou, Enchao Zhou

“…Subsequently, candidate genes were incorporated into machine learning algorithms to identify key feature genes associated with RF. …”
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THE INTELLIGENT AUTOMATED SYSTEM OF EDUCATION BASED ON INFORMATION AND INTERNET-TECHNOLOGIES by Andrey V. Dementienko, Alexander F. Egorov, Lina A. Zapasnaya, Sergey A. Nikitin, Tatiana V. Savitskaya

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Graphormer Boosted: Molecular Property Prediction With Enhanced Graph Spatial and Edge Encodings by Sarah A. Fadlallah, Francesc Serratosa, Carme Julia

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Differentiation between bipolar disorder and major depressive disorder based on AMPA receptor distribution by Sakiko Tsugawa, Sakiko Tsugawa, Yuichi Kimura, Junichi Chikazoe, Hiroki Abe, Tetsu Arisawa, Mai Hatano, Waki Nakajima, Hiroyuki Uchida, Tomoyuki Miyazaki, Tomoyuki Miyazaki, Yuuki Takada, Akane Sano, Kotaro Nakano, Tsuyoshi Eiro, Akira Suda, Takeshi Asami, Akitoyo Hishimoto, Hideaki Tani, Nobuhiro Nagai, Teruki Koizumi, Shinichiro Nakajima, Shunya Kurokawa, Yohei Ohtani, Kie Takahashi, Yuhei Kikuchi, Taisuke Yatomi, Taisuke Yatomi, Ryo Mitoma, Shunsuke Tamura, Shunsuke Tamura, Shingo Baba, Osamu Togao, Yoji Hirano, Yoji Hirano, Yoji Hirano, Hirotaka Kosaka, Hidehiko Okazawa, Masaru Mimura, Takuya Takahashi, Takuya Takahashi

“…The excitatory glutamate α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR) is a crucial regulator of synaptic function, and its dysregulation may play a central role in the pathophysiology of psychiatric disorders. …”
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Graph-informed convolutional autoencoder to classify brain responses during sleep by Sahar Zakeri, Somayeh Makouei, Sebelan Danishvar

“…The selected significant features were used to train a novel deep-learning classifiers. We designed a graph-informed convolutional autoencoder called GICA to extract high-level features from the functional connectivity features. …”
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Methods of implementation of the competence approach in the process of training highly qualified personnel by Yu. I. Slepchenko

“…The article shows the essence and functions of the competence campaign, the value and types of competencies required for the process of training graduates and methods of its implementation in the learning process. …”
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Cognitive Effects of Cannabis Use: A Comprehensive Review Across Domains by Andréia Pucinelli de Souza Queiroz, Maria Olivia Pozzolo Pedro, Marcela Waisman Campos, Julio Torales, Antonio Ventriglio, João Mauricio Castaldelli-Maia

“…Consistent impairments have been observed in domains such as attention, executive function, memory, and learning; however, most evidence derives from studies of acute or residual effects. …”
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Uncovering abnormal gray and white matter connectivity patterns in Alzheimer’s disease spectrum: a dynamic graph theory analysis for early detection by Juanjuan Jiang, Tao Kang, Ronghua Ling, Yingqian Liu, Jiuai Sun, Yiming Li, Xiaoou Li, Hui Yang, Bingcang Huang, the Alzheimer’s Disease Neuroimaging Initiative

“…Traditional static brain network analyses lack sensitivity to detect early functional disruptions in SMC. This study aimed to improve preclinical AD stratification by integrating dynamic gray-white matter functional connectivity (DFC) and machine learning.MethodsUsing multi-cohort ADNI data [N = 1,415 participants across cognitive normal[CN], SMC, and cognitive impairment [CI]groups],dynamic functional networks were constructed via sliding-window analysis (20–50 TR windows, 98% overlap) of 200 gray matter (Schaefer atlas) and 128 data-driven white matter nodes. …”
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Weak Labeling-specific Emitter Identification Algorithm Based on the Weakly Supervised Wav-KAN Network by Kangsheng LIU, Qing LING, Wenjun YAN, Limin ZHANG, Keyuan YU, Hengyan LIU

“…First, a WSW-KAN baseline network is constructed by integrating the unique learnable edge function of the KAN network with the multiresolution analysis of the wavelet function. …”
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Accurate Deep Potential Model of Temperature-Dependent Elastic Constants for Phosphorus-Doped Silicon by Miao Gao, Xiaorui Bie, Yi Wang, Yuhang Li, Zhaoyang Zhai, Haoqi Lyu, Xudong Zou

“…Empirical potentials typically lack accuracy for elastic predictions, whereas density functional theory (DFT) calculations are precise but computationally expensive. …”
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Secure care (forensic) hospital evaluation of manualised interpersonal art-psychotherapy (SCHEMA): A randomised controlled trial protocol [version 2; peer review: 2 approved] by Matthew Franklin, Simon S. Hackett, Katie Aafjes-van Doorn, Paula Foscarini-Craggs, Ania Zubala, Muhammad Riaz, Iain McKinnon, Jennifer Condie, Toni Leigh Harrison, Arman Iranpour, Elizabeth Randell, Sophie Rose, Rachel McNamara

“…Background Within the criminal Justice System in the UK one-third of prisoners self-identified as having a learning difficulty and/or disability. This is broadly consistent with formal assessment of the needs of offenders, with 29% of the offender population having a learning disability. …”
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Integrating Food Preference Profiling, Behavior Change Strategies, and Machine Learning for Cardiovascular Disease Prevention in a Personalized Nutrition Digital Health Interventio... by Hana Fitria Navratilova, Anthony David Whetton, Nophar Geifman

“…Intervention functions were designed using the Behavior Change Wheel, and behavior change techniques were selected for the DHI features. …”
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