Mediodorsal thalamic nucleus mediates resistance to ethanol through Cav3.1 T-type Ca2+ regulation of neural activity by Charles-francois V Latchoumane, Joon-Hyuk Lee, Seong-Wook Kim, Jinhyun Kim, Hee-Sup Shin

“…Thalamocortical activity is known to orchestrate sensory gating and consciousness switching. The precise thalamic regions involved, or the firing patterns related to the unconsciousness, remain unclear. …”
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Hybrid GIS-Transformer Approach for Forecasting Sentinel-1 Displacement Time Series by Lama Moualla, Alessio Rucci, Giampiero Naletto, Nantheera Anantrasirichai, Vania Da Deppo

“…This study presents a deep learning-based approach for forecasting Sentinel-1 displacement time series, with particular attention to irregular temporal patterns—an aspect often overlooked in previous works. …”
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Exploring the Feasibility of a 5-Week mHealth Intervention to Enhance Physical Activity and an Active, Healthy Lifestyle in Community-Dwelling Older Adults: Mixed Methods Study by Kim Daniels, Sharona Vonck, Jolien Robijns, Kirsten Quadflieg, Jochen Bergs, Annemie Spooren, Dominique Hansen, Bruno Bonnechère

“…The app received positive ratings, with a System Usability Scale score of 77.4 and a Customer Satisfaction Score of 86.6%. …”
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Identify suitable artificial groundwater recharge zones using hybrid deep learning models by Navaz Khalillollahi, Mohsen Isari, Hamed Faroqi, Kaywan Othman Ahmed, Kamran Nobakht Vakili, Miklas Scholz, Saad Sh. Sammeng

“…This study evaluated four deep learning models for delineating groundwater recharge zones: Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU), and hybrid deep learning Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU). …”
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Transcriptional and microbial profile of gastric cancer patients infected with Epstein-Barr virus by Klezzer de Oliveira Carneiro, Taíssa Maíra Thomaz Araújo, Ronald Matheus Da Silva Mourão, Samir Mansour Moraes Casseb, Samia Demachki, Fabiano Cordeiro Moreira, Ândrea Kely Campos Ribeiro Dos Santos, Geraldo Ishak, Daniel de Souza Avelar Da Costa, Leandro Magalhães, Amanda Ferreira Vidal, Rommel Mario Rodriguez Burbano, Paulo Pimentel de Assumpção

“…IntroductionGastric cancer (GC), which has low survival rates and high mortality, is a major concern, particularly in Asia and South America, with over one million annual cases. …”
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Dramatic resurgence of malaria after 7 years of intensive vector control interventions in Eastern Uganda. by Moses R Kamya, Joaniter I Nankabirwa, Emmanuel Arinaitwe, John Rek, Maato Zedi, Catherine Maiteki-Sebuguzi, Jimmy Opigo, Sarah G Staedke, Ambrose Oruni, Martin J Donnelly, Bryan Greenhouse, Jessica Briggs, Paul J Krezanoski, Teun Bousema, Philip J Rosenthal, Peter Olwoch, Prasanna Jagannathan, Isabel Rodriguez-Barraquer, Grant Dorsey

“…In Busia, An. gambiae s.s. remained the primary vector throughout the observation period. Sporozoite rates were approximately 50% higher among An. funestus compared to the other common malaria vectors. …”
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Treatment of total hip arthroplasty between two surgical access routes associated chronic pain, function and biomechanical parameters in older after osteoporotic femur fracture: co... by Marco Antônio Leite Pereira Pinto, Giovanna Truyts Biscardi Pinto, Mariana Afonso Ribeiro Sarquis Ude, Claudia Aparecida de Morais, Ana Paula Ribeiro

“…Conclusion Total hip arthroplasty via the posterolateral approach proved to be more successful when associated with reducing chronic pain, improving functional parameters and hip joint mobility, as well as facilitating a more efficient gait pattern with lower rates of plantar overload and enhanced body balance in older adults undergoing total hip arthroplasty after osteoporotic femur fracture. …”
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Dynamic Effects of Sodium Selenite on the Rhizospheric Microenvironment, Growth, and Antioxidative Responses of Wheat (<i>Triticum aestivum</i> L.) by Fang Qin, Han Zhang, Feiyan Zhang, Xiangrui Zhu, Hongji Li, Yuefeng Xu

“…Soil selenium (Se) speciation characteristics and their influence on the Se enrichment pattern and physiological characteristics of wheat are poorly understood. …”
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Conserved missense variant pathogenicity and correlated phenotypes across paralogous genes by Tobias Brünger, Alina Ivaniuk, Eduardo Pérez-Palma, Ludovica Montanucci, Stacey Cohen, Lacey Smith, Shridhar Parthasarathy, Ingo Helbig, Michael Nothnagel, Patrick May, Dennis Lal

“…For the gene family of voltage-gated sodium channels, where variants and expert-curated clinical phenotypes are available, we also assess whether phenotype patterns of multiple disorders for each gene are conserved across variant positions within the gene family. …”
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Modulatory role of radioprotective 105 in mitigating oxidative stress and ferroptosis via the HO-1/SLC7A11/GPX4 axis in sepsis-mediated renal injury by Hong Duo, Yanwei Yang, Jun Luo, Yumeng Cao, Qian Liu, Jiarui Zhang, Siqi Du, Jian You, Guqing Zhang, Qifa Ye, Huaqin Pan

“…Abstract Sepsis-associated acute kidney injury (SA-AKI) is a critical condition characterized by high morbidity and mortality rates, particularly in intensive care settings. This study focuses on RP105, a pattern recognition receptor, exploring its role in moderating the mechanisms of oxidative stress and ferroptosis during SA-AKI, offering insights into its potential as a therapeutic target. …”
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Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…In addition, the OCDWO-DLCLC technique uses NASNet Mobile model for learning complex feature patterns. Also, the hybrid of convolutional bidirectional gated recurrent unit (CNN‐BiGRU) model was applied for classifying the existence of colon and lung cancer in the biomedical images. …”
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Distribution and extended triage of high-risk human papillomavirus genotyping based on vaginal self-sampling by Ling Li, Yun Zhao, Rong Liu, Chen Yao, Zhijun Zhang, Yingying Hu, Ruifang Wu, Ruifang An, Hui Du, Xinfeng Qu, Lihui Wei, Bei Lin, Mingzhu Li, Chao Zhao, Jingran Li, Zhixin Lin, Jihong Deng, Songling Zhang

“…Different HPV subtypes have different detection rates for CIN2+, and combining HPV16/18/33 significantly improved the sensitivity for detecting CIN2+.…”
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The human RNASET2 alarmin-like molecule differentially affects prostate cancer cells behavior in both cell autonomous and non-cell autonomous manners by Rossella Roncoroni, Denisa Baci, Martina Cucchiara, Annarosaria de Vito, Matteo Gallazzi, Maria Teresa Palano, Francesca Olmeo, Cristian Rubuano, Alessandra Giannatiempo, Laura Monti, Raffaella Bombelli, Daniele Mercatelli, Giovanna Finzi, Francesca Franzi, Stefano La Rosa, Douglas M. Noonan, Barbara Bassani, Lorenzo Mortara, Antonino Bruno, Francesco Acquati

“…Here, we investigated the effects of the human RNASET2 alarmin in two different human PCa cell lines focusing on cell proliferation, colony formation, adhesion, migration rates, and release of soluble immune-modulatory factors. …”
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Low-frequency rTMS modulates small-world network properties in an AVH-related brain network in schizophrenia by Lin Zhang, Li Guo, Xiaohui Liu, Jing Han, Yuanqiang Zhu, Chaozong Ma, Ye Li, Weiliang Ye

“…Clinical symptom severity was assessed using the Auditory Hallucination Rating Scale (AHRS).ResultsAt baseline, schizophrenia patients exhibited disrupted small-world properties, with significantly lower σ, Cp, El, and Eg compared to healthy controls, reflecting impaired network organization, reduced local clustering, and inefficient global communication. …”
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Diagnosis of Power Transformer On-Load Tap Changer Mechanical Faults Based on SABO-Optimized TVFEMD and TCN-GRU Hybrid Network by Shan Wang, Zhihu Hong, Qingyun Min, Dexu Zou, Yanlin Zhao, Runze Qi, Tong Zhao

“…The decomposed components undergo dual-stage temporal processing: A Temporal Convolutional Network (TCN) extracts multi-scale dependencies via dilated convolution architecture, followed by Gated Recurrent Unit (GRU) layers capturing dynamic temporal patterns. …”
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Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments by Muhammad Usama Tanveer, Kashif Munir, Abdulatif Alabdulatif, Anas R. Najdawi, Rutvij H. Jhaveri

“…In this study, we introduce a state-of-the-art scheme for Android malware detection that combines the strengths of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks. These advanced deep learning architectures are particularly adept at capturing sequential dependencies within data making them well-suited for analyzing complex time-series information, such as user behaviour patterns system logs and network traffic. …”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…Based on features, the sorted-out data gets evaluated through a GRU-LSTM (Gated Recurrent Unit - Long Short-Term Memory) network to identify the state of the infant as usual and suggestive of hypoglycemia—blood glucose below 70 mg/dL, pale complexion, profuse perspiration. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study also provides a comparison with different DL models such as Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Long Short-Term Memory-Recurrent Neural Networks (LSTM-RNN), and Gated Recurrent Unit (GRU). The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
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Intracranial directed connectivity links subregions of the prefrontal cortex to major depression by John Myers, Jiayang Xiao, Raissa K. Mathura, Ben Shofty, Victoria Gates, Joshua Adkinson, Anusha B. Allawala, Adrish Anand, Ron Gadot, Ricardo Najera, Hernan G. Rey, Sanjay J. Mathew, Kelly Bijanki, Garrett Banks, Andrew Watrous, Eleonora Bartoli, Sarah R. Heilbronner, Nicole Provenza, Wayne K. Goodman, Nader Pouratian, Benjamin Y. Hayden, Sameer A. Sheth

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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…The proposed model integrates a Dynamic Pathway Convolution Network (DPCN) for adaptive feature extraction, incorporating a Dynamic Gating Controller (DGC) and Dynamic Adaptive Spatio-Temporal (DAST) blocks to efficiently capture multi-scale spatial and temporal dependencies. …”
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