Anoikis in hepatocellular carcinoma: genetic alterations and immune microenvironment insights from single-cell and computational analysis by Bing Zhou, Jialing Zhang, Mingfeng Guo

“…Abstract Background Hepatocellular carcinoma (HCC) is characterized by high heterogeneity, and its molecular features and microenvironment complexity contribute to varied patient prognoses. …”
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Infectious brain abscesses and granulomas: analysis of 110 episodes in adults by Zahra Hesari, Mahboubeh Haddad, Fereshte Sheybani, Farzaneh Khoroushi, Ehsan Keykhosravi, Negar Morovatdar

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Combining Ecological Momentary Assessment and Social Network Analysis to Study Youth Physical Activity and Environmental Influences: Protocol for a Mixed Methods Feasibility Study by Tyler Prochnow, Genevieve F Dunton, Kayla de la Haye, Keshia M Pollack Porter, Chanam Lee

“…Findings will inform the development of more targeted, effective interventions to promote PA among youth. …”
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High-Cycle Fatigue Fracture Behavior and Stress Prediction of Ni-Based Single-Crystal Superalloy with Film Cooling Hole Drilled Using Femtosecond Laser by Zhen Li, Yuanming Xu, Xinling Liu, Changkui Liu, Chunhu Tao

“…The results reveal that high-cycle fatigue cracks originate from corner cracks at pore edges, with the initial propagation displaying smooth crystallographic plane features. Subsequent stages show clear fatigue arc patterns in the propagation zones. …”
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Characterization of immunoreactivity with whole-slide imaging and digital analysis in high-grade serous ovarian cancer by Tiina Jäntti, Satu Luhtala, Johanna Mäenpää, Synnöve Staff

“…Understanding the features of the immune cell populations in the tumor microenvironment is essential for developing personalized treatments and finding predictive biomarkers. …”
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The current state and problems of studying the biological effects of THz irradiation by E. A. Butikova, I. A. Razumov, O. V. Poveshchenko, V. V. Kanygin

“…The review also aims to analyze key patterns of biological eff ts caused by THz and assess the prospects for further research and application of THz in biomedical and biotechnological direction and also features of the experiment organization by research infl   e of THz. …”
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Estimation of Stroke's Motor Function Ability Using Multimodal Biomarkers and the Role of Contralesional Motor Area by Da‐Hye Kim, Gyu Hyun Kwon, Seong‐Whan Lee, Laehyun Kim

“…Local analyses highlighted pronounced disparities in the contralesional motor area (MA) between stroke patients and the HC group, revealing patterns indicative of compensatory mechanisms. Leveraging a multimodal approach incorporating EEG power and network features within the contralesional MA yielded a robust model for motor function estimation, outperforming unimodal models (adjusted R2 0.99, RMSE 0.13). …”
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Multi-Spectral Optimization for Tissue Probing Using Machine Learning by Yarden Tzabari Kelman, Hadas Lupa Yitzhak, Nadav Shabairou, Shahaf Finder, Zeev Zalevsky

“…Temporal tracking of back-reflected secondary speckle patterns generated while illuminating the tested area with several lasers and applying periodic vibrations to the surface via a controlled vibration source at several stimulation frequencies. …”
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Expression and prognosis of cellular senescence genes in head and neck squamous cell carcinoma by Chen Feng, Lijuan Zhu, Wei Mao, Pin Dong, Xinwei Chen

“…Material/Methods We analyzed the expression patterns and prognostic values of cellular senescence genes in HNSC from TCGA and GEO. …”
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A novel robust network construction and analysis workflow for mining infant microbiota relationships by Wei Jiang, Yue Zhai, Dongbo Chen, Qinghua Yu

“…Several network-based methods have been developed to analyze the developing patterns of infant microbiota, but evaluating the reliability and effectiveness of these approaches remains a challenge. …”
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Lung and gut microbiota profiling in intensive care unit patients: a prospective pilot study by Antonios Kritikos, Eric Bernasconi, Yangji Choi, Valentin Scherz, Jean-Luc Pagani, Gilbert Greub, Claire Bertelli, Benoit Guery

“…This study aims to assess the longitudinal changes in lung and gut microbiota among mechanically ventilated ICU patients with and without infection and to identify microbial features predictive of clinical outcomes, including the development of ventilator associated pneumonia (VAP). …”
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Dermatoglifia e composição corporal em apnéia obstrutiva do sono Dermatoglyphics and body composition in obstructive sleep apnea by Luiz Bittencourt Mercanti, Marcio L. de S. Bezerra, José Fernandes Filho, Claudio José Struchiner

“…<br>Obesity is the main risk factor for obstructive sleep apnea syndrome (OSAS) and genetic patterns can modulate the pathogenesis of the disease. …”
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Aesthetic and functional analysis of mosque entrance areas in Ottoman and Safavid Empires: a comparative study by Masoumeh Khanzadeh

“…The research examines the use of calligraphy, geometric patterns, and religious symbolism in mosque entry imagery to understand how these aspects contribute to the representation of cultural and religious narratives. …”
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Index Method for Assessing Structural Changes in the Economy: Issues of Theory and Practice by T. N. Belova

“…The implementation of a methodology based on the alignment of ranked series of values of structural changes indexes made it possible not only to compare different indexes for the same structures of economic phenomena, but also to identify some patterns and features of the use of each of the studied indexes for assessing economic phenomena. …”
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A Comparative Study of Lesion-Centered and Severity-Based Approaches to Diabetic Retinopathy Classification: Improving Interpretability and Performance by Gang-Min Park, Ji-Hoon Moon, Ho-Gil Jung

“…Transfer learning from NMC to APTOS notably improved severity classification, achieving performance gains of 15.2% in mild cases and 66.3% in severe cases through feature fusion using Bidirectional Feature Pyramid Network (BiFPN) and Feature Pyramid Network (FPN). …”
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Lightweight Deep Learning Model for Fire Classification in Tunnels by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young-Im Cho

“…This model integrates MobileNetV3 for spatial feature extraction, Temporal Convolutional Networks (TCNs) for temporal sequence analysis, and advanced attention mechanisms, including Convolutional Block Attention Modules (CBAMs) and Squeeze-and-Excitation (SE) blocks, to prioritize critical features such as flames and smoke patterns while suppressing irrelevant noise. …”
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Dynamic Synergy Network Analysis Reveals Stage-Specific Regional Dysfunction in Alzheimer’s Disease by Xiaoyan Zhang, Chao Han, Jingbo Xia, Lingli Deng, Jiyang Dong

“…<b>Result:</b> The key finding are as follows: (1) synergy metrics exhibited lower intra-group coefficient of variation than mutual information metrics, indicating higher computational stability; (2) single-sample reconstruction significantly enhanced the statistical power in intergroup difference detection; (3) synergy metrics captured brain network features that are undetectable by traditional mutual information methods, with more pronounced differences between networks; (4) key node analysis demonstrated spatiotemporal degradation patterns progressing from initial dysfunction in orbitofrontal–striatal–temporoparietal pathways accompanied by multi-regional impairments during prodromal stages, through moderate-phase decline located in the right middle frontal and postcentral gyri, to advanced-stage degeneration of the right supramarginal gyrus and left inferior parietal lobule. …”
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Prognostic model identification of ribosome biogenesis-related genes in pancreatic cancer based on multiple machine learning analyses by Yuan Sun, Yan Li, Anlan Zhang, Tao Hu, Ming Li

“…Single-cell RNA sequencing analysis (GSE155698 dataset) was performed to assess gene expression patterns and module scores. Results Sixty ribosome biogenesis-related prognostic genes were identified in pancreatic cancer. …”
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Expression of selected epithelial–mesenchymal transition transcription factors in serous borderline ovarian tumors and type I ovarian cancers by Pawel Sadlecki, Jakub Jóźwicki, Paulina Antosik, Marek Grabiec

“…Epithelial ovarian neoplasms are a heterogeneous group including tumor subsets with distinct clinicopathologic and molecular features. Recent evidence from molecular and genomic studies suggests that whereas low-grade serous carcinomas and high-grade serous carcinomas likely develop on two separate pathways, the low-grade serous carcinomas and serous borderline ovarian tumors may represent various stages of the same developmental continuum. …”
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AI-powered simulation-based inference of a genuinely spatial-stochastic gene regulation model of early mouse embryogenesis. by Michael Alexander Ramirez Sierra, Thomas R Sokolowski

“…Understanding how multicellular organisms reliably orchestrate cell-fate decisions is a central challenge in developmental biology, particularly in early mammalian development, where tissue-level differentiation arises from seemingly cell-autonomous mechanisms. …”
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