Features of daily dynamics of blood pressure in patients with high and very high cardiovascular risk by SCORE scale and concomitant phenomenon of heart rate turbulence by А. І. Vytryhovsky

“…The presence of the phenomenon of heart rate turbulence in patients with existing cardiovascular disease does not lead to the emergence of some features or changing patterns in daily blood pressure…”
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A recessive founder mutation in regulator of telomere elongation helicase 1, RTEL1, underlies severe immunodeficiency and features of Hoyeraal Hreidarsson syndrome. by Bari J Ballew, Vijai Joseph, Saurav De, Grzegorz Sarek, Jean-Baptiste Vannier, Travis Stracker, Kasmintan A Schrader, Trudy N Small, Richard O'Reilly, Chris Manschreck, Megan M Harlan Fleischut, Liying Zhang, John Sullivan, Kelly Stratton, Meredith Yeager, Kevin Jacobs, Neelam Giri, Blanche P Alter, Joseph Boland, Laurie Burdett, Kenneth Offit, Simon J Boulton, Sharon A Savage, John H J Petrini

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Stenting and cell technologies in the treatment of atherosclerotic renovascular hypertension Part 3. Some genetic, pharmacological, and radio-ecological features of malignant renov... by A. N. Kharlamov, Ya. L. Gablnsky, E. K. Bos, P. A. Davidovich, V. S. Veselova

“…Primary combined end-point included the following: genetic analysis of monogenic disease, chromosome aberrations, genotypes and allele patterns for main polymorphic candidate genes participating in arterial hypertension (AH) and atherosclerosis pathogenesis; pharmacogenetic features of lipid-lowering and antihypertensive pharmaceutical therapy effectiveness; incorporated gamma-nuclide activity in critical organs.Results. …”
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Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT‐Based Radiomic Features in Non‐Small Cell Lung Cancer by Shrey S. Sukhadia, Christoph Sadée, Olivier Gevaert, Shivashankar H. Nagaraj

“…Results Our ML‐based radiogenomic modeling identified specific imaging features—wavelet, three‐dimensional local binary patterns, and logarithmic sigma of gray‐level variance—as predictive indicators for high (1) vs. low (0) gene expression of pivotal NSCLC‐related genes: SLC35C1, BCL2L1, and MAPK1. …”
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Distinctive features of IncRNA and mRNA between severe and mild patients with influenza a (H1N1) virus pneumonia by Dangsheng Xiao, Jinyou Li, Xuehui Zhao, Yongtao Li, Haifeng Lu, Jiezuan Yang

“…This research sheds light on the distinct transcriptomic features contributing to the pathogenesis of severe H1N1 infections, offering insights into differential diagnosis and potential therapeutic targets. …”
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Extraction and Spatiotemporal Analysis of Rubber Plantations on Hainan Island, China (1990–2023) Using Phenological and Multivariate Remote Sensing Features by Donghua Wang, Huichun Ye, Yanan You, Chaojia Nie, Jingjing Wang, Jingjuan Liao, Bingsun Wu, Lixia Shen, Dailiang Peng

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ANCA-related vasculitis incidence and features before and during the COVID-19 pandemic in Los Angeles, Biobio Province, Chile: an observational retrospective analysis by Daniel Enos, Daniel Enos, Daniel Enos, Mariel Hernández, Mariel Hernández, Gonzalo P. Méndez, Lysis Cáceres, Ignacia Bravo, Josefina Jobet, Simón Castro, Lorena Cornejo, Catalina Vega, Andrés Salazar

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Directional hand movement can be classified from insular cortex SEEG signals using recurrent neural networks and high-gamma band features by Xiecheng Shao, Ryan S. Chung, Jonathon M. Cavaleri, Roberto Martin Del Campo-Vera, Miguel Parra, Shivani Sundaram, Selena Zhang, Ashwitha Surabhi, Ryan J. McGinn, Charles Y. Liu, Spencer S. Kellis, Brian Lee

“…Demixed Principal Component Analysis (dPCA) was used for dimension reduction (d = 10) and feature extraction from the time-frequency analysis. …”
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Single-nucleus transcriptomics reveals a distinct microglial state and increased MSR1-mediated phagocytosis as common features across dementia subtypes by Sook-Yoong Chia, Mengwei Li, Zhihong Li, Haitao Tu, Jolene Wei Ling Lee, Lifeng Qiu, Jingjing Ling, Richard Reynolds, Salvatore Albani, Eng-King Tan, Adeline Su Lyn Ng, Jinmiao Chen, Li Zeng

“…While these subtypes share clinical, genetic, and pathological features, their transcriptomic similarities and differences remain poorly understood. …”
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DAHD-YOLO: A New High Robustness and Real-Time Method for Smoking Detection by Jianfei Zhang, Chengwei Jiang

“…The architecture integrates a diverse branch block and a contextual anchor mechanism, effectively improving the backbone network’s ability to extract features. Subsequently, at the end of the backbone, we introduce adaptive fine-grained channel attention (AFGCA) to effectively facilitate the fusion of both overarching patterns and localized details. …”
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Imaging characteristics of renal epithelioid angiomyolipoma and its correlation with risk stratification by Jin Zhou, Guo-chu Qin, Ting-ting Chen, Le Cheng, Li Zhu

“…We retrospectively reviewed the radiographic features and analyzed the differences between tumors with a cut-off diameter of 40 mm. …”
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Profiles of immune infiltration in colorectal cancer and their clinical significant: A gene expression‐based study by Yongfu Xiong, Kang Wang, He Zhou, Linglong Peng, Wenxian You, Zhongxue Fu

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Depletion of core microbiome forms the shared background against diverging dysbiosis patterns in Crohn’s disease and intestinal tuberculosis: insights from an integrated multi-coho... by Aditya Bajaj, Manasvini Markandey, Amit Samal, Sourav Goswami, Sudheer K. Vuyyuru, Srikant Mohta, Bhaskar Kante, Peeyush Kumar, Govind Makharia, Saurabh Kedia, Tarini Shankar Ghosh, Vineet Ahuja

“…Results Both diseases witness similar patterns of alterations in [alpha]-diversity, characterized by a significant reduction in gut bacterial (i.e., bacterial/archaeal) diversity and a concomitant increase in the fungal [alpha]-diversity. …”
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Enhanced safety assessment on tunnel excavation via refined rock mass parameter identification by Hongwei Huang, Tongjun Yang, Jiayao Chen, Zhongkai Huang, Chen Wu, Jianhong Man

“…This elucidates the impact patterns of these parameters and their coupling states on the safety factor. …”
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Apk2Audio4AndMal: Audio Based Malware Family Detection Framework by Oguz Emre Kural, Erdal Kilic, Ceyda Aksac

“…Android applications were converted to audio files in.wav format, and their audio-based features were extracted. Then, CFS-Subset, ReliefF, Information Gain, and Gain Ratio feature selection methods were applied to the extracted features. …”
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ECG Signal Ｒecognition Based on Deep Stacked Network by ZHANG Ｒiu, WANG Ｒu, HUANG Jun, ZENG Xin

“…Complex and diverse ECG signal patterns result in low recognition accuracy and poor adaptability. …”
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Unraveling relevant cross-waves pattern drifts in patient-hospital risk factors among hospitalized COVID-19 patients using explainable machine learning methods by Fernanda Cristina Barbosa Lana, Carolina Coimbra Marinho, Bruno Barbosa Miranda de Paiva, Lucas Rocha Valle, Guilherme Fonseca do Nascimento, Leonardo Chaves Dutra da Rocha, Marcelo Carneiro, Joanna d‘Arc Lyra Batista, Fernando Anschau, Pedro Gibson Paraiso, Frederico Bartolazzi, Christiane Corrêa Rodrigues Cimini, Alexandre Vargas Schwarzbold, Danyelle Romana Alves Rios, Marcos André Gonçalves, Milena Soriano Marcolino

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Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

“…This approach enables more precise, efficient, and personalized healthcare interventions, wherein the key steps include: 1) Geometry-based feature selection from high-dimensional health data-This effectively reduces dimensionality while preserving discriminative health patterns. 2) Probabilistic multi-topic representations of individual health profiles-These latent space embeddings capture complex health-need interactions. 3) Graph-based community detection via shared clinical/behavioral traits-The algorithm identifies natural clusters with medical relevance. 4) Personalized intervention ranking by community relevance-This ensures tailored care plan recommendations for each subgroup. …”
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Diagnosis of depression based on facial multimodal data by Nani Jin, Renjia Ye, Peng Li

“…Through the multi-modal feature fusion, the model can effectively capture different feature patterns related to depression.ResultsWe conduct extensive experiments on the publicly available clinical dataset, the Extended Distress Analysis Interview Corpus (E-DAIC). …”
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Improving Wind Turbine Gearbox Reliability: A Hybrid Deep Learning Approach Using Bispectrum Image Analysis by Muhammad Zacky Asy'Ari, Jun Kondoh, Benyamin Kusumoputro

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