Double-diffusive magnetoconvection in a tilted porous parallelogrammic domain with discrete heated-cooled segments: Leveraging machine learning and CFD approach by P. Ravindra, M. Sankar, Suresh Rasappan, Wardah Abdullah Al Majrafi, Pugalarasu Rajan, S. Sanal Kumar

“…In addition, an artificial neural network (ANN) model is developed that uses a softmax activation function to predict Nu‾ and Sh‾, and its performance is evaluated against a regression model, yielding robust results.…”
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Genome wide identification and expression profiling of Bcl2 associated anthanogene family cochaperones reveals abiotic stress response in Ricinus communis L. by Muhammad Arif, Shuzhen Men, Ayesha Fazal Nawaz, Hina Abbas, Wenqi Shi, Mohamed A. El-Sheikh, Parvaiz Ahmad, Ruhong Xu, Luhua Li

“…Quantitative real-time polymerase chain reaction (qRT-PCR) investigation revealed that 9 distinct RcBAG genes were strongly induced after cold and heat treatments. Functional analysis and protein–protein interactions were used to predict the potential regulatory network of RcBAGs, revealing tight networking and signaling with HSP proteins. …”
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Sensory Dysfunction in ALS and Other Motor Neuron Diseases: Clinical Relevance, Histopathology, Neurophysiology, and Insights from Neuroimaging by Jana Kleinerova, Rangariroyashe H. Chipika, Ee Ling Tan, Yana Yunusova, Véronique Marchand-Pauvert, Jan Kassubek, Pierre-Francois Pradat, Peter Bede

“…From an academic standpoint, sensory networks may be ideally suited to evaluate propagation patterns and the involvement of subcortical grey matter structures. …”
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Multifactorial approach is needed to unravel the maturation phases of human neurons derived from induced pluripotent stem cells by Maissa Ben Mahmoud, Anikó Rátkai, Krisztina Bauer, Norbert Bencsik, Attila Szücs, Katalin Schlett, Krisztián Tárnok

“…In this study, we conducted comprehensive cellular and network level analysis of the functional development of human neurons, generated from iPSCs obtained from healthy young female peripheral blood mononuclear cells by BDNF and GDNF treatment. …”
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60 Investigating sociodemographic influence on trauma exposure and neural alterations in young adults by Abigail Bossa, Claire Marino, Caitlin Sharp, Tanya Garg, Shreya Bavdekar, Mary Halvorsen, Benjamin Suzrez-Jimenez

“…It also seeks to explore functional connectivity and neural network patterns associated with trauma by analyzing resting state magnetic resonance imaging (MRI) data. …”
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Identification and validation of key genes associated with cell senescence in acute myocardial infarction by Weidong Zhao, Guofu Zhu, Tianshu Chu, Liyong Wu, Hui Li, Qingwen Zhen, Rigui Wang

“…CSRGs, DEGs and genes in key module were intersected to acquire intersected genes, and candidate genes were also screened out by constructing a protein protein interaction (PPI) network.Afterwards, candidate genes were then subjected to a machine learning approach to identify key genes and enrichment analyses were performed on individual genes Finally, immuno-infiltrative analysis, competing-endogenous RNA (ceRNA) and drug-gene networks construction were conducted. …”
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The underlying molecular mechanisms and biomarkers of Hip fracture combined with deep vein thrombosis based on self sequencing bioinformatics analysis by Guanghua Shi, Xiaocui Shi, Meng Zhang, Rui Cheng, Mengqing Hu, Yu Zhao, Shimei Li, Xiuxiu Li, Haiyun Ma, Pengcui Li

“…Candidate genes were identified by overlapping differentially expressed genes (DEGs) with key module genes from weighted gene co-expression network analysis (WGCNA). Functional enrichment analysis was then performed to explore the roles of the candidate genes. …”
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Wideband Beam-Steering Flat Dielectric Lens Antenna for 5G Communications by Zahra Rahimian Omam, Saeideh Shad, Bahram Khalichi, Hani Mehrpouyan, Mohsen Khalily, Ahmed A. Kishk

“…The design elegantly combines uniform FDL functionality within a PPW with a wideband rectangular waveguide-based feed network, resulting in a streamlined, highly manufacturable design suited for commercial beam-steering applications. …”
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Genome-Wide Responses of Female Fruit Flies Subjected to Divergent Mating Regimes. by Dave T Gerrard, Claudia Fricke, Dominic A Edward, Dylan R Edwards, Tracey Chapman

“…However, the subtle nature of those effects suggests substantial functional redundancy or parallelism in this gene network, which could buffer females against excessive responses. …”
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Fast Recognition of Table Eggs from Different Farming Systems Using Physical Traits and Multi-layer Perceptron by MC Huang, Q Lin, H Cai, H Ni

“…Multi-layer Perceptron Neural Network, Naive Bayes, Linear Support Vector Classifier, Radial Basis Functions Support Vector Classifier and Random Forest were used to create recognition models, and the leave-one-out cross-validation method was used for training and evaluation. …”
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Multifunctional Carbon-Based Nanocomposite Hydrogels for Wound Healing and Health Management by Tianyi Lu, Yaqian Chen, Meng Sun, Yuxian Chen, Weilong Tu, Yuxuan Zhou, Xiao Li, Tao Hu

“…Recently, various nanomaterials have been introduced into hydrogel networks to prepare functional nanocomposite hydrogels. …”
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Identification and validation of biomarkers, construction of diagnostic models, and investigation of immunological infiltration characteristics for idiopathic frozen shoulder by Han-tao Jiang, Li-ping Shen, Meng-Qi Pang, Min-jiao Wu, Jiang Li, Wei-jie Gong, Gang Jin, Rang-teng Zhu

“…At the outset, we conducted differential expression analysis, weighted gene co-expression network analysis (WGCNA), and utilized the cytoHubba plugin, complemented by two machine learning algorithms, receiver operating characteristic (ROC) analysis, and expression level evaluation to identify biomarkers for FS. …”
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Machine learning enhanced ultra-high vacuum system for predicting field emission performance in graphene reinforced aluminium based metal matrix composites by Sunil Kumar Pradhan, Subhayu Kabiraj, Shivin Kumar Gupta, Abhishek Singh, Padmakar G. Chavan, Shubham S. Patil, Trilok Nath Pandey

“…This remarkable performance of AlGr2 arises from a delicate balance between conductive network formation, field enhancement and minimal agglomeration. …”
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Object-translocation induces event coding in the rat hippocampus by Ya-Li Duan, Shu-Yi Hu, Xiao-Fan Ge, Jia-Li Long, Chu Deng, Yu-Ming Sun, Cheng-Ji Li, Rong Zhang, Xing Cai, Li Lu

“…Within a navigation environment, salient objects can function as landmarks, and interactions with them can be encoded as distinct episodic events. …”
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Integrating bioinformatics and machine learning to discover sumoylation associated signatures in sepsis by Xue Teng, Qi Wang, Jinling Ma, Dongmei Li

“…Differential analysis and Weighted Gene Co-expression Network Analysis (WGCNA) were conducted in GSE65682 to identify differentially expressed genes (DEGs) and key module genes. …”
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The most bothersome symptoms in neuromuscular diseases: the ERN EURO NMD Survey by Michelangelo Mancuso, Alessandro Colitta, Manuela Lavorato, Peter Van den Bergh, Janbernd Kirschner, Cornelia Kornblum, Lorenzo Maggi, Francois Lamy, Hanns Lochmüller, Marianne Nordstrøm, Edoardo Malfatti, Alessandra Ferlini, Davide Pareyson, Vincenzo Silani, Kleopas A Kleopa, Marianne de Visser, Antonio Atalaia, Teresinha Evangelista

“…Abstract Background Neuromuscular diseases (NMDs) comprise a range of genetic and acquired rare disorders that affect motor neurons, peripheral nerves, neuromuscular junctions and skeletal muscles, leading to significant impairments such as muscle weakness and fatigue resulting in functional limitations. This study aims to investigate the prevalence and severity of disease-related symptoms in adult patients with NMDs registered in the European Reference Network (ERN) EURO-NMD. …”
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Genome-wide analysis of alternative splicing differences in hepatic ischemia reperfusion injury by Yongliang Hua, Xinglong Li, Bing Yin, Shounan Lu, Baolin Qian, Yongzhi Zhou, Zhongyu Li, Zhanzhi Meng, Yong Ma

“…In this study, we investigated differentially alternatively spliced (DAS) genes and differentially expressed transcripts (DETs) in a mouse model of hepatic IR injury using the high throughput RNA sequencing (RNA-seq) analysis and replicate multivariate analysis of transcript splicing (rMATS) analysis. We further conducted Gene ontology (GO) term enrichment, the Kyoto Encyclopedia of Genes and Genomes (KEGG) database and the protein-protein interaction (PPI) network. …”
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Integrated 16S rRNA and metagenomic sequencing reveals the distribution of key antibiotic resistance genes in duck gut microbiota by Hongbo Zeng, Hua Yang, Zixian Fu, Lingyan Ma, Lizhi Lu, Tao Zeng, Yingping Xiao, Wentao Lyu

“…We compiled a comprehensive inventory of microbial genes in the duck gut and conducted an analysis of microbial composition and function across all intestinal segments using 16S rRNA gene sequencing combined with metagenomics. …”
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The Concept of a Method for Predicting the Cascade Effect Under Conditions of Hybrid Warfare by WRÓBLEWSKI Wojciech, WIŚNIEWSKI Michał

“…The concept involves using the Six Ways to Die method to take areas affecting the health and life of the civilian population and define a network of object dependencies on which proper functioning of the State in these areas depends. …”
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State Estimation in Power Systems Under Random Data Attack Using Correlation Matching, Semidefinite Relaxation, and Truncated Eigenvalue Decomposition by Bamrung Tausiesakul, Krissada Asavaskulkiet, Chuttchaval Jeraputra, Ittiphong Leevongwat, Thamvarit Singhavilai, Supun Tiptipakorn

“…Numerical simulation is conducted to demonstrate the usability of the proposed algorithms and to illustrate their performance. …”
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