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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Older adults' needs and preferences for a nutrition education digital health solution: A participatory design study by Ashlee Turner, Victoria M. Flood, Haley M. LaMonica

“…Patient or Public Contribution Older adults actively participated in the development and evaluation process to generate ideas about potential features, functionalities, uses and practicalities of an online nutrition education resource.…”
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Application of EMD, ANN and DNN for Self-Aligning Bearing Fault Diagnosis by Narendiranath Babu THAMBA, Arun ARAVIND, Abhishek RAKESH, Mohamed JAHZAN, Rama Prabha D.

“…Time domain and time-frequency domain features are then extracted which are used to implement the neural networks through the pattern recognition tool in MATLAB. …”
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Dermatomyositis-Associated Interstitial Lung Disease Misdiagnosed as Pulmonary Tuberculosis by Abubakar Sadiq Maiyaki, Aminu Abbas, Ibrahim Abdullahi, Isa Musa Wasagu, Nasiru Aaltine Dankiri, Olisa Ochiagha, Farouk Kabir Umar, Aliyu Abullahi

“…Further testing revealed positive antinuclear antibodies, anti-Mi-2, and anti-Jo-1 antibodies, restrictive lung pattern on pulmonary function test and high-resolution computer tomography (HRCT) features of non-specific interstitial pneumonia (NSIP), confirming dermatomyositis-associated interstitial lung disease (DM-ILD). …”
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A spatiotemporal model for urban taxi Origin–Destination prediction based on Multi-hop GCN and Hierarchical LSTM by Jiang Rong, Wangtu Xu, Yanjie Wen

“…Specially, DBSTNet models pick-up and drop-off patterns via transposed OD matrices and employs 2 independent branches to separately capture spatial–temporal features. …”
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The effective landscape design parameters with high reflective hardscapes: guidelines for optimizing human thermal comfort in outdoor spaces by design -a case on hot arid climate w... by Reham A. Abdelwahab, Ahmed A. Fekry, Reham El-Dessuky Hamed

“…These results highlight the importance of balancing hardscape and softscape areas, integrating vegetation and water features, and utilizing light-colored materials in dispersed patterns. …”
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Full-length ribosome density prediction by a multi-input and multi-output model. by Tingzhong Tian, Shuya Li, Peng Lang, Dan Zhao, Jianyang Zeng

“…Most of the existing computational approaches for modeling translation elongation from ribosome profiling data mainly focus on local contextual patterns, while ignoring the continuity of the elongation process and relations between ribosome densities of remote codons. …”
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Unveiling a novel model of cell senescence-related genes for prognostic assessment and immunotherapeutic insights in gastric cancer by Gang Wang, Yi Wang, Yanyi Xiao, Zhe Lin

“…The mRNA expression patterns, gene mutations, and clinical information of STAD were obtained from the cancer genome atlas (TCGA) and gene expression omnibus (GEO). …”
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Calculation and Experimental Study of the Dynamics of the Track Mover Bypass of a Cross-Country Transport Vehicle by Alexey I. Taratorkin, Sergey V. Abdulov, Viktor B. Derzhanskii, Alexandr A. Volkov, Evgeniy B. Sarach, Alexandr I. Komissarov

“…Thus, based on the results of the studies, the features of dynamic processes in the track mover were established, the main patterns of the formation process of transverse oscillations, their dependence on the design parameters of the bypass and various operational factors were revealed.…”
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Patho-Ecological Distribution and Genetic Diversity of <i>Fusarium oxysporum</i> f. sp. <i>cubense</i> in Malbhog Banana Belts of Assam, India by Anisha Baruah, Popy Bora, Thukkaram Damodaran, Bishal Saikia, Muthukumar Manoharan, Prakash Patil, Ashok Bhattacharyya, Ankita Saikia, Alok Kumar, Sangeeta Kumari, Juri Talukdar, Utpal Dey, Shenaz Sultana Ahmed, Naseema Rahman, Bharat Chandra Nath, Ruthy Tabing, Sandeep Kumar

“…The morpho-cultural characterization of Foc isolates showed large variations in colony morphological features, intensity, and pattern of pigmentation, chlamydospores, and conidial size. …”
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Clinicians’ user experience with health information exchange technologies during simulated medication reconciliation by Himalaya Patel, April Savoy, Steven L. Sanchez, Morgan Traylor, Khoa A. Nguyen, Kenneth S. Boockvar, Vincent S. Fan, Emily R. Locke, Bryan Gibson, Amanda S. Mixon, Susan H. Byerly, David A. Haggstrom, Teresa M. Damush, Michael Weiner, Alissa L. Russ-Jara

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Tectonic geomorphological evidence of late Quaternary segmented activity along the northern margin fault of Lajishan by ZHANG Lijun, YUAN Daoyang, LI Hongqiang, SU Qi, SU Ruihuan, CHEN Yanwen, WEN Yameng

“…HI spatial distribution patterns along the North Lajishan fault show multiple high-value zones within piedmont basins. …”
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Cognitive and neuropsychiatric disorders in extrapyramidal diseases by O. S. Levin, M. A. Anikin, E. E. Vasenina

“…The basis for these disorders are most commonly dysfunction of one or a few parallel frontostriatal circuits combining the basal ganglia with the thalamus, limbic structures, frontal and other cortical regions into the uniform functional system. The pattern of neuropsychological disorders has both specific and common features, the discussion of which is the subject matter of this paper. …”
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Imaging cherubism: Radiologic hallmarks of a rare jaw anomaly by Paschyanti Kasat, Shivali Kashikar, Pratapsingh Parihar, Pratiksha Sachani, Utkarsh Pradeep

“…Based on the radiological features grading systems have been developed that help decide the management.…”
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SLAMF receptors: key regulators of tumor progression and emerging targets for cancer immunotherapy by Jia Li, Tao Fan, Di Wang, Chu Xiao, Ziqin Deng, Wenpeng Cai, Yu Ji, Chunxiang Li, Jie He

“…Abstract The signaling lymphocytic activation molecule family (SLAMF) consists of nine distinct cell surface receptors predominantly expressed on immune cells, each characterized by unique structural features, expression patterns, downstream signaling pathways, and biological functions. …”
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Classification of Individuals With COVID-19 and Post–COVID-19 Condition and Healthy Controls Using Heart Rate Variability: Machine Learning Study With a Near–Real-Time Monitoring C... by Carlos Alberto Sanches, Andre Felipe Henriques Librantz, Luciana Maria Malosá Sampaio, Peterson Adriano Belan

“…A secondary objective was to assess the feasibility of a near–real-time health monitoring system based on these patterns using wearable-derived HRV data. …”
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From lab to field with machine learning – Bridging the gap for movement analysis in real-world environments: A commentary by Carlo Dindorf, Fabian Horst, Djordje Slijepčević, Bernhard Dumphart, Jonas Dully, Matthias Zeppelzauer, Brian Horsak, Michael Fröhlich

“…Finally, automated classification (e) refers to the process of developing a predictive model that assigns input features of data samples to predefined categories or classes using supervised ML. …”
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Early and Delayed Rebound Intracranial Hypertension following Epidural Blood Patch in a Case of Spontaneous Intracranial Hypotension by Elham Jafari, Maryam Karaminia, Mansoureh Togha

“…Following EBP for treatment of SIH, new onset of headache having a different pattern and location should always be monitored for the occurrence of RIH. …”
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