Individualized spatial network predictions using Siamese convolutional neural networks: A resting-state fMRI study of over 11,000 unaffected individuals. by Reihaneh Hassanzadeh, Rogers F Silva, Anees Abrol, Mustafa Salman, Anna Bonkhoff, Yuhui Du, Zening Fu, Thomas DeRamus, Eswar Damaraju, Bradley Baker, Vince D Calhoun

“…Further investigation of our network's learned features revealed a higher spatial variability in predictive accuracy among younger brains and significantly higher discriminative power among males. …”
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A conceptual root zone model to calculate the application amount and frequency of water available for recharge by Francisco Flores-López, David Arrate, Mehrdad Bastani

“…IDC (Integrated Demand Calculator) is a stand-alone root zone component of the Integrated Water Flow Model (IWFM) which provides conceptual features for simulating root zone saturation levels. …”
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Evaluation of K-Means Algorithm for Faulted Landforms Extraction and Offset Measurement With an Example From the Eastern Kunlun Fault by Shengchao Zhou, Zhou Lin

“…This study aims to develop a more objective and accurate method for identifying faulted landforms and measuring offsets. …”
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MODELING OF DEEP CURRENTS IN THE JAPAN SEA: RELATIONSHIP WITH THE CURRENTS IN THE THERMOCLINE LAYER by O. O. Trusenkova

“…Geostrophic deep circulation in the Japan Sea is modeled using the primitive equation multilayer model developed by N.B. Shapiro and E.M. Mikhaylova (Marine Hydrophysical Istitute, RAS). …”
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Flexible Learning by Design: Enhancing Faculty Digital Competence and Engagement Through the FLeD Project by Ana Afonso, Lina Morgado, Ingrid Noguera, Paloma Sepúlveda-Parrini, Davinia Hernandez-Leo, Shata N. Alkhasawneh, Maria João Spilker, Isabel Cristina Carvalho

“…Teacher participants co-designed and implemented flexible learning scenarios using the FLeD tool, which integrates pedagogical patterns, scaffolding strategies, and playful features. …”
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Pressurized Contrast‐Related Posterior Reversible Encephalopathy Syndrome After Cerebral Digital Subtraction Angiography by Lea Scherschinski, Tyler D. Schriber, Stefan W. Koester, Adam T. Eberle, Joshua S. Catapano, Ethan A. Winkler, Felipe C. Albuquerque, Michael T. Lawton, Andrew F. Ducruet, Ruchira M. Jha, Ashutosh P. Jadhav

“…Awareness of risk factors, pathophysiology, and clinical and radiographic patterns is crucial for accurate diagnosis.…”
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Vestibular Atelectasis: A Narrative Review and Our Experience by Andrea Tozzi, Andrea Castellucci, Salvatore Martellucci, Pasquale Malara, Michael Eliezer, Giuseppe Ferrulli, Rosanna Rita Ruberto, Pasquale Brizzi, Enrico Armato, Alessio Marchetti, Daniele Marchioni, Angelo Ghidini, Claudio Moratti

“…A collapse of the membranous labyrinth involving the semicircular canals (SCs) and the utricle represents its distinctive histopathological feature. While specific radiological patterns consistent with VA have been described on contrast-enhanced MRI with delayed acquisitions, an impairment of the blood–labyrinthine barrier (BLB) could be detected in several disorders leading to vestibular loss. …”
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Discursive and methodological aspects of the study of the Kazakh Khanate in Turkish historiography by Aiman Azmukhanova, Mirzahan Egamberdiyev

“…Discourse analysis helps identify narrative features, rhetoric, and key concepts employed by Turkish historians. …”
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An Exploration on Aperiodic Activities and Transient Oscillations During Semantic Processing: A Study With Wearable MEG by Xiaoyu Liang, Yuyu Ma, Ruonan Wang, Huanqi Wu, Changzeng Liu, Fuzhi Cao, Nan An, Min Xiang, Yueyang Zhai, Xiaolin Ning

“…However, there is a scarcity of research exploring the semantic-related patterns associated with aperiodic and transient periodic brain activities. …”
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Deep learning model for diagnosis of thyroid nodules with size less than 1 cm: A multicenter, retrospective study by Na Feng, Shanshan Zhao, Kai Wang, Peizhe Chen, Yunpeng Wang, Yuan Gao, Zhengping Wang, Yidan Lu, Chen Chen, Jincao Yao, Zhikai Lei, Dong Xu

“…Results: TNT-Net achieved an area under the curve (AUC) of 0.953 (95 % confidence interval (CI): 0.934, 0.969) on the internal test set and 0.941 (95 % CI: 0.921, 0.957) on the external test set, significantly outperforming traditional deep convolutional neural network models and single-channel swin transformer model, whose AUCs ranged from 0.800 (95 % CI: 0.759, 0.837) to 0.856 (95 % CI: 0.819, 0.881). Furthermore, feature heatmap visualization showed that TNT-Net could extract richer and more energetic malignant nodule patterns. …”
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INTENSIFIERS IN ITALIAN IN TRANSIT: TRACING BIOGRAPHICAL EXPERIENCES THROUGH LANGUAGE PRACTICES by Marta Lupica Spagnolo

“…IiT partly shares this feature with Italian youth varieties, colloquial French, and some Italian-based contact varieties developed outside Italy. …”
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EMOTIVE SPEECH ACTS IN CROSS-CULTURAL COMMUNICATION: A COMPREHENSIVE ANALYSIS AND EXPERIMENTAL STUDY by Kenul E. Abdurehmanova

“…Through comprehensive analysis of acoustic features, facial expressions, and lexical patterns, the research demonstrates that emotional expression follows dual patterns: universal elements remain consistent across languages while others undergo significant cultural adaptation. …”
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Integration of chromosome conformation and gene expression networks reveals regulatory mechanisms in triple negative breast cancer by Helena Reyes-Gopar, Helena Reyes-Gopar, Helena Reyes-Gopar, Keila Adonai Pérez-Fuentes, Matthew L. Bendall, Enrique Hernández-Lemus, Enrique Hernández-Lemus

“…This model addresses limitations in Hi-C data analysis without relying on predefined features like TADs and compartments. We applied this model to Hi-C and RNA-seq data from TNBC patients, representing the data as multilayer networks to identify genome-wide properties of the TNBC 3D genome.ResultsOur network-based analysis revealed distinct chromatin interaction patterns in TNBC compared to healthy contralateral controls. …”
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Parametric Design and Mechanical Characterization of a Selective Laser Sintering Additively Manufactured Biomimetic Ribbed Dome Inspired by the Chorion of Lepidopteran Eggs by Alexandros Efstathiadis, Ioanna Symeonidou, Emmanouil K. Tzimtzimis, Dimitrios Avtzis, Konstantinos Tsongas, Dimitrios Tzetzis

“…Quasi-static compression testing was carried out in conjunction with finite element analysis (FEA) to investigate the deformation patterns and stress dispersion of the models. The biomimetic ribbed dome appears to significantly dampen the snap-through behavior that is observed in typical solid and lattice domes, decreasing dynamic stresses developed during the response and preventing catastrophic failure of the structure. …”
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Economic-mathematical model for predicting financial market dynamics by Artur R. Musin

“…The main study purpose is developing a predictive economic-mathematical model that allows combining both approaches. …”
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Predicting Cardiovascular Aging Risk Based on Clinical Data Through the Integration of Mathematical Modeling and Machine Learning by Kuat Abzaliyev, Madina Suleimenova, Siming Chen, Madina Mansurova, Symbat Abzaliyeva, Ainur Manapova, Almagul Kurmanova, Akbota Bugibayeva, Diana Sundetova, Raushan Bitemirova, Nazipa Baizhigitova, Merey Abdykassymova, Ulzhas Sagalbayeva

“…In addition, we applied k-means clustering to identify hidden patterns and risk profiles within the dataset. A Random Forest classifier was trained to distinguish between high-risk and low-risk individuals using the same feature set. …”
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Cardiometabolic index predicts cardiovascular events in aging population: a machine learning-based risk prediction framework from a large-scale longitudinal study by Yuanxi Luo, Yuanxi Luo, Zhiyang Yin, Xin Li, Xin Li, Chong Sheng, Ping Zhang, Dongjin Wang, Dongjin Wang, Yunxing Xue

“…Sex-stratified analyses suggested differential predictive patterns between gender subgroups. Given CMI’s robust and consistent predictive capability for stroke outcomes, we developed a machine learning-derived nomogram incorporating five key predictors: age, CMI, hypertension status, high-sensitivity C-reactive protein (hsCRP) and renal function (measured as serum creatinine). …”
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Global Challenge of Health Communication: Infodemia in the Coronavirus Disease (COVID-19) Pandemic by Hamid Allahverdipour

“…It is also important to distinguish between the use of fear-based theories in the development of health risk messages about COVID-19 and the dissemination of unprofessional authored messages disseminated by social media. …”
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Autofluorescence Imaging of Parathyroid and Thyroid Under Visible and Near-IR Light Excitation by Zhenguo Wu, Sam M. Wiseman, Haishan Zeng

“…Autofluorescence imaging features of parathyroid adenomas for each excitation wavelength were described and compared. …”
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Multi-channel EMG manifestations of upper-extremity muscle coordination imbalance among community-dwelling sarcopenic seniors by Haoru He, Xiaochu Wu, Na Li, Yi Jiang, Jiayuan He, Ning Jiang

“…Hexagons created by various EMG features, normalized with respect to respective MVC, and symmetry analyses were performed to estimate multi-muscle coordination patterns. …”
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