The NLRP3 inflammasome in microglia regulates repetitive behavior by modulating NMDA glutamate receptor functions by Hyeji Jung, Byeongchan Kim, Gyubin Jang, Hyeonho Kim, Ae-Ree Lee, Sung-Hyun Yoon, Kyung-Seo Lee, Gaeun Hyun, Younghye Kim, Jaewon Ko, Je-Wook Yu, Ji Won Um

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The Training of Rhythm Skills and Executive Function: A Systematic Review by J. Riikka Ahokas, Suvi Saarikallio, Graham Welch, Usha Goswami, Tiina Parviainen

“…The selected studies were evaluated for methodological quality using the modified Downs and Black checklist. …”
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Potential and Observed Supply–Demand Characteristics of Medical Services: A Case Study of Nighttime Visits in Shenzhen by Xiaojie Wu, Zhengdong Huang, Xi Yu

“…Hospital selection patterns are essential for evaluating medical accessibility and optimizing resource management. …”
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A Feature-Selective Independent Component Analysis Method for Functional MRI by Yi-Ou Li, Tülay Adali, Vince D. Calhoun

“…In this work, we propose a simple and effective scheme to incorporate prior knowledge about the sources of interest (SOIs) in independent component analysis (ICA) and apply the method to estimate brain activations from functional magnetic resonance imaging (fMRI) data. …”
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Ti3C2Tx@Pt nanocomposite based colorimetric and electrochemical dual-mode platform for glucose detection by Xuming Sun, Mingyan Zhang, Jinlong Chang, Linyan Xie, Qiongqiong Ren, Wenshuai Jiang, Zhen Jin, Shiqi Pan, Xiuli Yang, Wu Ren

“…Glucose is the main source of energy in cellular metabolism and is essential for normal cellular function and growth. …”
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Distribution‐Based Model Evaluation and Diagnostics: Elicitability, Propriety, and Scoring Rules for Hydrograph Functionals by Jasper A. Vrugt

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New groups of highly divergent proteins in families as old as cellular life with important biological functions in the ocean by Duncan Sussfeld, Romain Lannes, Eduardo Corel, Guillaume Bernard, Pierre Martin, Eric Bapteste, Eric Pelletier, Philippe Lopez

“…Protein sequence similarity network approaches, in particular, appear well-suited to highlight potential sources of biological novelty and make better sense of microbial dark matter across taxonomical scales.…”
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Whole Genome Sequencing Reveals Clade‐Specific Genetic Variation in Blacklegged Ticks by Jacob Cassens, Adela S. Oliva Chávez, Danielle M. Tufts, Jianmin Zhong, Christopher Faulk, Jonathan D. Oliver

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Characterization and Evolutionary Analyses Reveal Differential Selection Pressures on <i>PGIc</i> and <i>PGIp</i> During Domestication in Castor Bean by Jiayu Guo, Lanxin Jiang, Anmin Yu, Bing Han, Aizhong Liu

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An energy storage planning method for improving the security of receiving-end system considering the selection of power conversion systems by Haibo Zhang, Kai Wei, Yukang Hu, Quan Hu

“…In order to compensate for the economic cost of ES investment, its energy storage function should also be used to participate in peak shaving during normal operation. …”
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Investigation of a novel membrane-base coupled process for the selective concentration of mineral ions from deep seawater by Jianhua Zhu, Li Zhang, Jinzhen Huang, Sawen Liu, Guoqiang Lu, Jie Ren, Sheng He

“…Deep seawater, characterized by low temperature, high purity, and a rich content of beneficial elements, has significant potential as a health resource. Developing a technology to selectively concentration of mineral ions from deep seawater is crucial for obtaining a functional deep seawater mineral solution. …”
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Effects of Covid-19 Pandemic on School Dropout in Selected Primry Schools in Nyarusiza Sub-County Kisoro District. by Sibo, Dusabe Chris Jackson

“…The study focused on the effects of the Covid-19 pandemic on school dropout in selected primary schools in the Nyarusiza sub-county Kisoro district. …”
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Genome-Wide Association Analysis and Genomic Selection for Growth Traits in Grass Carp (<i>Ctenopharyngodon idella</i>) by Yuxuan Chen, Qiaozhen Yu, Wenyao Lv, Tao Sheng, Lang Gui, Junqiang Qiu, Xiaoyan Xu, Jiale Li

“…This study provides the first comprehensive SNP resource for grass carp growth traits with different dietary treatments, bridging GWAS and genomic prediction to accelerate marker-assisted selection. …”
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Evolutionary search algorithm for learning activation function of an artificial neural network by Yurshin Viacheslav

“…Neural networks require careful selection of activation functions to optimize performance. …”
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Automatic detection of floating instream large wood in videos using deep learning by J. Aarnink, J. Aarnink, T. Beucler, T. Beucler, M. Vuaridel, V. Ruiz-Villanueva, V. Ruiz-Villanueva

“…Therefore, the findings of this paper could be used when designing a custom wood detection network. With the growing availability of flood-related videos featuring wood uploaded to the internet, this methodology facilitates the quantification of wood transport across a wide variety of data sources.…”
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On Robustness of the Explanatory Power of Machine Learning Models: Insights From a New Explainable AI Approach Using Sensitivity Analysis by Banamali Panigrahi, Saman Razavi, Lorne E. Doig, Blanchard Cordell, Hoshin V. Gupta, Karsten Liber

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Correlation between Rainfall and Runoff in Fuchun River Basin Based on Copula Functions and Kernel Density Estimation by YANG Sheng-mei, ZHU De-kang, CHENG Xiang, LI Bo, ZHU Yan-ze, MA Wen-sheng

“…The Gumbel-Copula function was further selected as the optimal Copula function to describe the dependence structure between rainfall and runoff in the river basin. …”
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Neurocognitive factors of new drone Pilots: Identifying candidates with expert potential by Miguel A. Ramallo-Luna, Sara Gonzalez-Torre, Álvaro Rodríguez-Mora, Gabriel G. de la Torre

“…Introduction: The increasing use of drones in both military and civilian applications underscores the critical need for the proper selection and training of pilots. Identifying the neurocognitive variables that influence the performance of these pilots can optimize selection and training processes. …”
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Quantifying Truthfulness: A Probabilistic Framework for Atomic Claim-Based Misinformation Detection by Fahim Sufi, Musleh Alsulami

“…This paper addresses this gap by proposing a novel probabilistic framework that decomposes complex assertions into semantically atomic claims and computes their veracity through a structured evaluation of source credibility and evidence frequency. Each atomic unit is matched against a curated corpus of 11,928 cyber-related news entries using a binary alignment function, and its truthfulness is quantified via a composite score integrating both source reliability and support density. …”
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Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection by Ali Nizam, Ertugrul Islamoglu, Omer Kerem Adali, Musa Aydin

“…Although code embedding-based systems have been successfully applied to various source code analysis tasks, further research is required to enhance code embedding for better code analysis capabilities, aiming to surpass the performance and functionality of static code analysis tools. …”
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