Identification of hub genes in myocardial infarction by bioinformatics and machine learning: insights into inflammation and immune regulation by Juan Yang, Xiang Li, Li Ma, Jun Zhang

“…The CIBERSORT algorithm was utilized to evaluate immune cell infiltration patterns. Finally, potential therapeutic targets were explored through drug-gene interaction analysis using the DGIdb database.ResultsAfter correcting for batch effects across datasets, we identified 687 differentially expressed genes (DEGs), including 405 upregulated and 282 downregulated genes. …”
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Wind load impact on tall building facades: damage observations during severe wind events and wind tunnel testing by Omar Metwally, Haitham A. Ibrahim, Amal Elawady, Amal Elawady, Ioannis Zisis, Ioannis Zisis, Arindam Gan Chowdhury, Arindam Gan Chowdhury

“…As global urbanization accelerates, the construction of tall buildings has surged, becoming a defining feature of modern cityscapes. Tall buildings, while contributing to economic growth and urban development, face substantial risks from extreme wind events, such as hurricanes and downbursts. …”
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DTCMMA: Efficient Wind-Power Forecasting Based on Dimensional Transformation Combined with Multidimensional and Multiscale Convolutional Attention Mechanism by Wenhan Song, Enguang Zuo, Junyu Zhu, Chen Chen, Cheng Chen, Ziwei Yan, Xiaoyi Lv

“…Nevertheless, when dealing with long wind-power sequences, their quadratic computational complexity (O(L²)) leads to low efficiency, and their global attention mechanism often fails to capture local periodic features accurately, tending to overemphasize redundant information while overlooking key temporal patterns. …”
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Using machine learning to identify Parkinson’s disease severity subtypes with multimodal data by Hwayoung Park, Changhong Youm, Sang-Myung Cheon, Bohyun Kim, Hyejin Choi, Juseon Hwang, Minsoo Kim

“…Results We identified three PD severity subtypes, each exhibiting different patterns of clinical severity, with the severity increasing as it progressed from clusters 1 to 3. …”
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A differential requirement for ciliary transition zone proteins in human and mouse neural progenitor fate specification by Antonia Wiegering, Isabelle Anselme, Ludovica Brunetti, Laura Metayer-Derout, Damelys Calderon, Sophie Thomas, Stéphane Nedelec, Alexis Eschstruth, Valentina Serpieri, Martin Catala, Christophe Antoniewski, Sylvie Schneider-Maunoury, Aline Stedman

“…Here, we use pluripotent stem cell-derived spinal organoids to reveal distinct functions of the ciliopathy gene RPGRIP1L in humans and mice, and uncover an unexplored role for cilia in human axial patterning. Previous research has emphasized Rpgrip1l critical functions in mouse brain and spinal cord development through the regulation of SHH/GLI pathway. …”
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Wildlife management of German colonists in the Don Army region by D. Yu. Shishkina

“…The history of the use of natural resources by the German colonists is considered. Development of the settling system is analyzed, main features of natural resources use and patterns of their evolution are studied.…”
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Induction of more severe central sensitization in a medication overuse headache model mice through active ingestion of rizatriptan by Zhenjie Ma, Chenhao Li, Wenhao Bai, Wei Xie, Mingjie Zhang, Han Xiao, Cancan Chen, Yang Li, Wenwen Zhang, Deqi Zhai, Yingyuan Liu, Dengfa Zhao, Wenjing Tang, Zhao Dong, Ruozhuo Liu, Shengyuan Yu

“…Therefore, we established a novel MOH mouse model with the active ingestion of rizatriptan (RIZ) to better simulate the clinical characteristics of MOH and explore changes in brain activation patterns. Methods C57BL/6 J mice received intraperitoneal injections of nitroglycerin (NTG, 10 mg/kg) every other day. …”
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Comparison of the Spread of Novel Coronavirus: Topological Data Analysis of 13 Countries by Shaun V. Ault, Jia Lu

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The Use of 3D Convolutional Autoencoder in Fault and Fracture Network Characterization by Feng Xu, Zhiyong Li, Bo Wen, Youhui Huang, Yaojun Wang

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Modeling the inside defect of the jet cavitator by A. I. Ukolov, V. P. Rodionov

“…Materials and Methods. The features of the ANSYS Workbench finite-element analysis software package and the integrated optimization module of the development and design process in the domain of the computational fluid dynamics ANSYS CFX are used. …”
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Integrated pixel-level crack detection and quantification using an ensemble of advanced U-Net architectures by Rakshitha R, Srinath S, N Vinay Kumar, Rashmi S, Poornima B V

“…Automated pavement crack detection faces significant challenges due to the complex shapes of crack patterns, their similarity to non-crack textures, and varying environmental conditions such as lighting and noise. …”
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Modeling and Evaluating a Cache System in ICN Routers Using a Programmable Switch and Computers by Junji Takemasa, Yuki Koizumi, Toru Hasegawa

“…Information-centric networking (ICN) is one of promising networking architectures to replace IP because its notable feature, in-network caching, is expected to reduce about a one-third of the forever increasing Internet traffic. …”
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Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model by Shanshan Wang, Jingwu Liu

“…Temporal features were identified as crucial for detecting recurring behavioral trends and periodic exercise patterns.DiscussionThese findings demonstrate the efficacy of integrating multimodal life log data with deep learning for accurate physical activity classification. …”
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Innate immune recognition of Mycobacterium tuberculosis: receptor engagement and inflammatory outcomes at the site of infection by N.E. Mvubu

“…It has been estimated that one-third of the world's population is latently infected with M. tuberculosis; however, only ∼10 million individuals develop an active disease annually. The innate immune defence system is the first to encounter the bacilli and initiates a cascade of events to protect the host from developing tuberculosis. …”
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Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3. by Cristina Savin, Peter Dayan, Máté Lengyel

“…We formulate the recall of a previously stored pattern from a noisy recall cue and limited-capacity (and therefore lossy) synapses as a probabilistic inference problem, and derive neural dynamics that implement approximate inference algorithms to solve this problem efficiently. …”
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A kinematic analysis of extratropical cyclones, warm conveyor belts and atmospheric rivers by Helen F. Dacre, Peter A. Clark

“…Our analysis demonstrates that, despite varying methods, definitions, and terminology used to describe extratropical cyclones, warm conveyor belt airflows, and atmospheric rivers, the underlying mechanisms driving their formation and development are consistent. Thus, while studying these features independently is valuable, it is important to recognise that they are all part of a larger atmospheric flow pattern. …”
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Sentences, entities, and keyphrases extraction from consumer health forums using multi-task learning by Tsaqif Naufal, Rahmad Mahendra, Alfan Farizki Wicaksono

“…Despite varying loss weights across our three-way MTL models, we did not identify a consistent pattern. While some configurations improved MER and KE performance, none surpassed the best pairwise MTL model for the SR task. …”
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Improving automated scoring of prosody in oral reading fluency using deep learning algorithm by Kuo Wang, Xin Qiao, George Sammit, Eric C. Larson, Joseph Nese, Akihito Kamata

“…Our findings also indicate that students’ reading patterns influence cross-domain performance more than specific text passage patterns. …”
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Remaining useful life prediction of a small sample of aero-engine based on an improved gray Markov model by Dong-hai Li, Ji-liang Tu, Hui Liu, Nai-zhi Liao

“…To address this issue, this study presents a novel data-physics fusion framework using the NASA turbine engine public dataset as the operational data for the study. First, a two-stage feature engineering strategy is designed: (1) Spearman correlation analysis identifies degradation-sensitive physical parameters. (2) Principal component analysis reduces dimensionality while preserving degraded trajectory patterns. …”
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Interactive online learning method for students based on artificial intelligence by Cizhang Li, Wenfen Yin

“…The proposed DMO-GRU framework leverages the optimization capability of DMO for feature selection and parameter tuning, while GRU effectively captures temporal learning patterns in student data. …”
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