Dynamics of recurrent neural networks with piecewise linear activation function in the context-dependent decision-making task by Kononov, Roman Andreevich, Maslennikov, O.  V., Nekorkin, Vladimir Isaakovich

“…This paper aims to elucidate the dynamic mechanism underlying context-dependent two-alternative decision-making task solved by recurrent neural networks through reinforcement learning. Additionally, it seeks to develop a methodology for analyzing such models based on dynamical systems theory. …”
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Artificial intelligence in predicting pathogenic microorganisms’ antimicrobial resistance: challenges, progress, and prospects by Yan Li, Xiaoyan Cui, Xiaoyan Yang, Guangqia Liu, Juan Zhang

“…AI technologies are increasingly applied to predict the resistance of pathogens to various antibiotics based on gene content and genomic composition. This article reviews the latest advancements in AI and ML for predicting antimicrobial resistance in pathogenic microorganisms. …”
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Utilizing Artificial Intelligence for Microbiome Decision-Making: Autism Spectrum Disorder in Children from Bosnia and Herzegovina by Džana Bašić-Čičak, Jasminka Hasić Telalović, Lejla Pašić

“…Four machine learning algorithms (Random Forest, Support Vector Classification, Gradient Boosting, and Extremely Randomized Tree Classifier) were applied to create eight classification models based on bacterial abundance at the genus level and KEGG pathways. …”
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TaxaCal: enhancing species-level profiling accuracy of 16S amplicon data by Qingrong Shen, Xiaoqian Fan, Yangyang Sun, Hao Gao, Xiaoquan Su

“…Abstract Background 16S rRNA amplicon sequencing is a widely used method for microbiome composition analysis due to its cost-effectiveness and lower data requirements compared to metagenomic whole-genome sequencing (WGS). …”
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Investigating the Genetic Links Between Immune Cell Profiles and Bladder Cancer: A Multidisciplinary Bioinformatics Approach by Jin Zhang, Zhongji Jiang, Jiali Jin, Gaohaer Kadeerhan, Hong Guo, Dongwen Wang

“…Differential expression analysis identified immune-related differentially expressed genes (iDEGs), and a protein–protein interaction (PPI) network along with functional enrichment analysis were conducted to explore their roles in tumor development. Machine learning-based feature selection was applied to identify potential biomarkers and therapeutic targets. …”
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State of the art in remote sensing monitoring of carbon dynamics in African tropical forests by Thomas Bossy, Thomas Bossy, Thomas Bossy, Philippe Ciais, Philippe Ciais, Solène Renaudineau, Liang Wan, Bertrand Ygorra, Elhadi Adam, Nicolas Barbier, Marijn Bauters, Nicolas Delbart, Nicolas Delbart, Frédéric Frappart, Tawanda Winmore Gara, Eliakim Hamunyela, Suspense Averti Ifo, Gabriel Jaffrain, Philippe Maisongrande, Maurice Mugabowindekwe, Maurice Mugabowindekwe, Theodomir Mugiraneza, Theodomir Mugiraneza, Cassandra Normandin, Conan Vassily Obame, Marc Peaucelle, Camille Pinet, Pierre Ploton, Le Bienfaiteur Sagang, Martin Schwartz, Valentine Sollier, Bonaventure Sonké, Bonaventure Sonké, Paul Tresson, Aurélien De Truchis, An Vo Quang, Jean-Pierre Wigneron

“…Remote sensing techniques, including multi-spectral data, lidar-based canopy height and vertical structure detection, and radar interferometry, have significantly improved our ability to map forest composition, estimate height and biomass, and detect degradation and deforestation features at a finer scale. …”
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A theoretical research in Freedom policy by Kioomars Ashtarian

“…Although the theoretical basis of the article is based on John Dewey's theory of social learning as planning, it put forward new arguments in terms of requirements for a policy of freedom in Iran. …”
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Artificial intelligence driven malnutrition diagnostic model for patients with acute abdomen based on GLIM criteria: a cross-sectional research protocol by Yu Wang, Lu Wang, Hua Jiang, Wei Ma, Bin Cai, Ming-Wei Sun, Charles Damien Lu

“…We aimed to establish an intelligence-enabled malnutrition diagnosis model based on GLIM for patients with acute abdomen.Method This study is a single-centre, cross-sectional observational investigation into the prevalence of malnutrition in patients with acute abdomen using the GLIM criteria. …”
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Exploring the gut microbiota associated with peripheral nerve invasion in colorectal cancer patients and constructing predictive models by Chuanbin Chen, Qingmin Chen, Shenghai Liu, Guoxi Li, Jiawei Zhao, Jingting Huang, Tianyi Ye, Xinting Yang, Zigui Huang, Zhen Wang, Fuhai He, Mingjian Qin, Chenyan Long, Binzhe Tang, Yongqi Huang, Weizhong Tang, Jungang Liu, Xiaoliang Huang

“…Abstract Objective This study aims to explore the differences in composition, abundance, and biological functions of the gut microbiota between colorectal cancer (CRC) patients with peripheral nerve invasion (PNI) and those without peripheral nerve invasion (NPNI). …”
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AGU2-Net: Multi-Scale U²-Net Enhanced by Attention Gate Mechanism for Image Tampering Localization by Kefei Wu, Lin Li, Qingyan Li

“…Although deep learning algorithms based on convolutional neural networks (CNNs) have made notable progress in image forgery detection, they still face certain limitations in effectively detecting and localizing tampered areas due to the subtle nature of existing manipulation traces. …”
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How to Better Use Canopy Height in Soybean Biomass Estimation by Yanqin Zhu, Fan Fan, Zhen Zhang, Xun Yu, Tiantian Jiang, Liming Li, Yadong Liu, Yali Bai, Ziqian Tang, Shuaibing Liu, Dameng Yin, Xiuliang Jin

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A study on land use change simulation based on PLUS model and the U-net structure: A case study of Jilin Province by Jiafu Liu, Xiangli Kong, Yue Zhu, Baihao Zhang

“…Deep learning and spatial models are typical paradigms for land cover change simulation, each exhibiting certain differences in representing land use change mechanisms. …”
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Cellular hierarchy framework based on single-cell/multi-patient sample sequencing reveals metabolic biomarker PYGL as a therapeutic target for HNSCC by Jiezhong Guan, Xi Xu, Guo Qiu, Chong He, Xiaoyue Lu, Kang Wang, Xinyu Liu, Yuanyuan Li, Zihang Ling, Xuan Tang, Yujie Liang, Xiaoan Tao, Bin Cheng, Bo Yang

“…Abstract Background A growing body of research has revealed the connection of metabolism reprogramming and tumor progression, yet how metabolism reprogramming affects inter-patient heterogeneity and prognosis in head and neck squamous cell carcinoma (HNSCC) still requires further explorations. Methods A cellular hierarchy framework based on metabolic properties discrepancy, METArisk, was introduced to re-analyze the cellular composition from bulk transcriptomes of 486 patients through deconvolution utilizing single-cell reference profiles from 25 primary and 8 metastatic HNSCC sample integration of previous studies. …”
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Dead Sea Stromatolite Reefs: Testing Ground for Remote Sensing Automated Detection of Life Forms and Their Traces in Harsh Environments by Nuphar Gedulter, Amotz Agnon, Noam Levin

“…The overarching aim comprises the development of an automated hyperspectral reflectance method for detecting the presence of stromatolites. …”
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Combination of exhaled volatile organic compounds with serum biomarkers predicts respiratory infection severity by Patricia Esteban, Santiago Letona-Gimenez, Maria Pilar Domingo, Elena Morte, Galadriel Pellejero-Sagastizabal, Maria Del Mar Encabo, Ariel Ramírez-Labrada, Rebeca Sanz-Pamplona, Julián Pardo, José Ramón Paño, Eva M. Galvez

“…This study aims to identify VOC and blood biomarker signatures to develop machine learning-based prognostic models capable of distinguishing infections with similar symptoms.Methods Twenty-one VOCs and fifteen serum biomarkers were quantified in samples from 86 COVID-19 patients, 75 patients with non-COVID-19 respiratory infections, and 72 healthy donors. …”
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Beyond genomics: artificial intelligence-powered diagnostics for indeterminate thyroid nodules—a systematic review and meta-analysis by Karishma Jassal, Karishma Jassal, Melissa Edwards, Afsaneh Koohestani, Afsaneh Koohestani, Wendy Brown, Jonathan W. Serpell, Jonathan W. Serpell, James C. Lee, James C. Lee

“…Meta-regression analysis performed suggests potential publication bias or systematic differences in model architectures, dataset composition, and validation methodologies.ConclusionThis review demonstrated the burgeoning potential of AI to be of clinical value in surgical decision making for ITNs; however, study-developed models were unsuitable for clinical implementation based on performance alone at their current states or lacked robust independent external validation. …”
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Segmental multi-frequency bioelectrical impedance analysis indicates dehydration status after exercise by Shuang Wang, Pengfei Zhang, Yang Hu, Yao Zheng, Hongyan Yang, Jiaheng Zhou, Xuyun Liu, Jie Xu, Hui Li, Yang Liu, Jia Li, Xing Zhang, Jing Lou, Ling Dong, Guiling Wu

“…Bioelectrical impedance analysis (BIA) is a convenient and timely method to monitor body composition in resting conditions. …”
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The effect of gamification on brand co-creation in app-based businesses: investigating the mediating role of consumer engagement and the moderating role of hedonic and innovativene... by Rayhane Rezagholizade, Zahra Sadeqi-Arani, Esmail Mazroui

“…The study focused on the customer base of Snapp and TAPSI brands within the city of Isfahan. …”
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Using Sentinel-1 Time Series Data for the Delineation of Management Zones by Juliano de Paula Gonçalves, Francisco de Assis de Carvalho Pinto, Daniel Marçal de Queiroz, Domingos Sárvio Magalhães Valente

“…A possible solution is to perform targeted sampling based on previously collected data. The objective of this research was to develop a method for mapping soil attributes based on Management Zones (MZs) delineated from Sentinel-1 radar data. …”
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Application of Image Computing in Non-Destructive Detection of Chinese Cuisine by Xiaowei Huang, Zexiang Li, Zhihua Li, Jiyong Shi, Ning Zhang, Zhou Qin, Liuzi Du, Tingting Shen, Roujia Zhang

“…Traditional non-destructive detection methods often struggle with the unique challenges posed by Chinese dishes, including complex textural variations in staple foods (e.g., noodles, dumplings), layered seasoning compositions (e.g., soy sauce, Sichuan peppercorns), and oil-rich cooking media. …”
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