Metabolism effector links in diet-induced and genetically-based obesity: A full-transcriptome study of liver tissue in experimental models in rodents by S. A. Apryatin, N. V. Trusov, I. V. Gmoshinski, V. A. Tutelyan

“…Background. When developing methods for personalized diet therapy of obesity, an urgent task is to study the molecular genetics features of the obesity pathogenesis using in vivo experimental models in laboratory animals.The aim. …”
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Antibiotic stories: a mixed-methods, multi-country analysis of household antibiotic use in Malawi, Uganda and Zimbabwe by Justin Dixon, Shunmay Yeung, John Bradley, Laurie Denyer Willis, Susan Nayiga, Clare I R Chandler, Rashida Abbas Ferrand, Sham Lal, Miriam Kayendeke, Christine Nabirye, Sarah G Staedke, Eleanor Elizabeth MacPherson, Edward Green, Salome Manyau, Esnart Sanudi, Alex Nkaombe, Portia Mareke, Kenny Sitole, Coll de Lima Hutchison, Chrissy Roberts

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Epigenetic regulation of individual components of combined hepatocellular-cholangiocarcinoma. by Kyle M Schachtschneider, Luke N Redlon, Ryan Peter Lokken, Yu-Hui Huang, Grace Guzman, Lawrence B Schook, Ron C Gaba

“…Samples did not cluster by tumor type when comparing genome-wide DNA methylation or gene expression patterns. Of the 5 patients with DNA methylation data available for both subtypes, 4 clustered by patient as opposed to cancer subtype, suggesting similar epigenetic regulatory patterns arising from development in the same microenvironment and genetic background. …”
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Using extreme gradient boosting for predictive urban expansion analysis in Rustenburg, South Africa from 2000 to 2030 by Paidamwoyo Mhangara, Eskinder Gidey, Bruce Steadman Mayise

“…These findings highlight significant changes in land use and landscape fragmentation over time and provide critical insights into urban growth patterns and their implications for water security, sustainable development, and community livelihoods in Rustenburg, South Africa. …”
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Non-invasive detection of Parkinson’s disease based on speech analysis and interpretable machine learning by Huanqing Xu, Wei Xie, Mingzhen Pang, Ya Li, Luhua Jin, Fangliang Huang, Xian Shao

“…This study aims to develop an interpretable machine learning model that uses speech recordings and acoustic features to predict PD.MethodsA dataset of speech recordings from individuals with and without PD was analyzed. …”
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Intelligent Diagnosis and Predictive Rehabilitation Assessment of Chronic Ankle Instability Using Shoe-Integrated Sensor System by Zhonghe Guo, Yanzhang Li, Yuchen Wang, Haoxuan Liu, Rui Guo, Jingzhong Ma, Xiaoming Wu, Dong Jiang, Tianling Ren

“…However, challenges are presented in accurately identifying CAI-related abnormal gait patterns and assessing rehabilitation effects. Traditional plantar pressure systems lack portability and can only be used in limited specific actions, while a few early proposed portable systems have demonstrated insufficient accuracy. …”
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IMPROVING THE STRATEGIC PLANNING OF THE DEFENSE-INDUSTRIAL COMPLEX CORPORATIONS OF RUSSIA by Katrina B. Dobrova

“…The relevance of the study due to the fact that the methodology for the adaptation of the strategic management of the military-industrial enterprises with substantial scientifi c and technical potential, should take into account a number of features, such as the identifi cation of the features of competition in the future; understanding of the prospects and development opportunities in the medium and long term; assessment of resource potential; impact assessment and risk in the implementation of promising strategies. …”
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Finger drawing on smartphone screens enables early Parkinson's disease detection through hybrid 1D-CNN and BiGRU deep learning architecture. by Zhaohui Zhu, E Wu, Pengfei Leng, Jiajun Sun, Mingming Ma, Zhigeng Pan

“…Our hybrid model combined multi-scale convolutional feature extraction (using parallel 1D-Convolutional branches) with bidirectional temporal pattern recognition (via gated recurrent unit [GRU] networks) to analyze movement abnormalities and detect the disease.…”
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Seasonal Coloration and Ecological Adaptations of Adventitious Roots of Four Salicaceous Species in Jiuzhaigou World Natural Heritage Site, Southwestern China by Ting Liu, Junhuai Xu, Weiyang Xiao, Lv Zhou, Yingzhou Chen, Xue Qiao, Sha Deng, Zongliang Du, Ya Tang

“…Seasonal color variations followed a distinct temporal pattern, transitioning from red or pink hues in summer to reddish‐brown in spring and autumn, and maroon or gray in winter. …”
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Epidemiological assessment of risk factors of infectious complications at wounded and victims with severe injuries by A. A. Kuzin, S. A. Svistunov, P. I. Ogarkov, D. A. Zharkov

“…In this regard it is important to reveal epidemiological features and patterns of manifestations of the infections connected with delivery of health care to define tendencies of epidemic process, and also to predict influence of risk factors on development of infectious complications in the victims who are on treatment in specialized surgical hospital.…”
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An analytical delay model for multi-class and lane-free traffic condition. by Vinaya S Mattungal, Lelitha Devi Vanajakshi

“…Key features include assumption of random arrival and departure pattern as well as distribution, incorporation of Passenger Car Equivalent (PCE) and virtual lane concepts to account for the diverse vehicle classes and lane-free movement prevalent in Indian traffic. …”
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Individualized lesion-symptom mapping using explainable artificial intelligence for the cognitive impact of white matter hyperintensities by Ryanne Offenberg, Alberto De Luca, Geert Jan Biessels, Frederik Barkhof, Wiesje M. van der Flier, Argonde C. van Harten, Ewoud van der Lelij, Josien Pluim, Hugo Kuijf

“…The FNN performed worse on real data (R2 = 0.020).To conclude, results show that CNNs combined with XAI can perform lesion-symptom mapping and generate individual attribution maps, which could be a valuable feature with further method development.…”
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Cardioattentionnet: advancing ECG beat characterization with a high-accuracy and portable deep learning model by Youfu He, Youfu He, Youfu He, Yu Zhou, Yu Zhou, Yu Qian, Jingjie Liu, Jinyan Zhang, Debin Liu, Qiang Wu, Qiang Wu

“…The architecture of CANet allows for effective processing of extended ECG patterns and detailed feature extraction without a substantial increase in model size.ResultsEmpirical results indicate that CANet outperformed traditional models in terms of predictive performance and stability, as confirmed by comprehensive cross-validation. …”
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Representation of Feminism in Russian Media Space: Authors and Narratives by Nikita A. Argylov, Ksenia A. Khramtsovskaya

“…The aim of the study is to determine the dynamics of authors’ publications and the feminist topic’s development in the Russian media space since 2017, as well as to identify trends in the development of the feminist topic. …”
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Anteromedial facet coronoid fractures: an algorithmic approach for assessment and management based on 3 dimensional computed tomography humeral subtraction by Armin Badre, MD, MSc, FRCSC, Moayd Abdullah H. Awad, MBBS, FRCSC, Robert Chan, MD, MSc, FRCSC, Michael Lapner, MD, FRCSC

“…We hypothesized that a detailed assessment of the pattern of AMF fracture utilizing three-dimensional computed tomography with digital subtraction of the humerus allows for a reliable treatment algorithm to avoid over- or under-treatment of these complex injuries. …”
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Detecting heavy trucks from mobile phone trajectories using image-based behavioral representations and deep learning models by Franco Basso, Félix des Rotours, Tomás Maldonado, Raúl Pezoa, Mauricio Varas

“…This work provides a robust tool for analyzing freight transport patterns, thereby supporting the development of strategies to mitigate the negative externalities of freight transportation while preserving its economic benefits.…”
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No genetic structure detected in multiple Brazilian marine fish species by Julia Tovar Verba, Adam Stow, Priscila F. M. Lopes, Maria Grazia Pennino, Antonio Sole-Cava, Sergio Maia Queiroz Lima

“…Consequently, identifying evolutionarily significant genetic lineages within exploited species can benefit the development of conservation management strategies. With the absence of genetic data life history traits are sometimes assumed to be good predictors of genetic patterns in natural populations. …”
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Expression and functional analyses of the mitogen-activated protein kinase (MPK) cascade genes in response to phytohormones in wheat (Triticum aestivum L.) by Su-fei YAO, Yan-xia WANG, Tong-ren YANG, Lin HAO, Wen-jing LU, Kai XIAO

“…In this study, the expression patterns of six MPKKK, two MPKK, and 11 MPK genes in wheat in responses to external treatments of phytohormones, including naphthylacetic acid (NAA), abscisic acid (ABA), 6-benzyladenine (6-BA), gibberellin (GA3), salisylic acid (SA), jasmonic acid (JA), and ethylene (ETH), were investigated. …”
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Prediction of metastatic risk of renal clear cell carcinoma based on CT radiomics analysis by Xueyi Wang, Youchang Yang, Jiaojiao Wu, Xiaoqiang Tang, Yao Wang

“…Three monophasic radiomics models were developed following dimensionality reduction, with feature contributions quantified via Shapley Additive exPlanations (SHAP) framework to enhance interpretability. …”
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Bioinformatics‑Based Analysis Reveals Diagnostic Biomarkers and Immune Landscape in Atopic Dermatitis by Yang M, Zhang X, Zhou C, Du Y, Zhou M, Zhang W

“…This study aimed to investigate key differentially expressed genes (DEGs) in AD and their association with immune cell infiltration patterns.Methods: The GSE32924 dataset comprises gene expression data from 25 AD samples and 8 control samples. …”
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