Multiscale Contextual Mamba: Advancing Psychiatric Disorder Detection across Multisite Functional Magnetic Resonance Imaging Datasets via State Space Modeling by Shusheng Li, Yang Bo, Yuchu Chen, Jianfeng Cao, Bo Bi, Ting Ma, Chenfei Ye

“…However, existing methods often struggle to capture the long-term dependencies and dynamic patterns inherent in such data, particularly across diverse imaging sites. …”
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Research on Oil and Gas-Bearing Zone Prediction and Identification Based on the SVD–K-Means Algorithm—A Case Study of the WZ6-1 Oil-Bearing Structure in the Beibu Gulf Basin, South... by Zhilong Chen, Renyi Wang, Biao Xu, Jianghang Zhu

“…The WZ6-1 oil-bearing structure in the Beibu Gulf Basin of the South China Sea has well-developed faults with significant variations in fault sealing capacity, resulting in a complex and highly variable distribution of oil, gas, and water, and limited understanding of hydrocarbon accumulation patterns. …”
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Effects of Reduced Frequency on the Aerodynamic Characteristics of a Pitching Airfoil at Moderate Reynolds Numbers by Teng Zhou, Huijing Cao, Ben Zhao

“…As the pitching frequency increases, the maximum lift coefficient achieved in one pitching cycle decreases, and the direction of the lift hysteresis loop changes as the pitching frequency exceeds a certain value, leading to a change in the lift of the sign at the zero-incidence moment, which is a result of the instantaneous flow patterns on the airfoil surface. As the pitching frequency increases, flow unsteadiness develops less in one pitching cycle, and the time duration in which the turbulence boundary layer can be detected in one pitching cycle shrinks. …”
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Deep learning model using continuous skin temperature data predicts labor onset by Chinmai Basavaraj, Azure D. Grant, Shravan G. Aras, Elise N. Erickson

“…We investigated if continuous body temperature exhibits similar changes in women and whether these changes may be linked to hormonal status. Finally, we developed a deep learning model using temperature patterning to provide a daily forecast of time to labor onset. …”
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Amplification of select autonomous HERV loci and surrounding host gene transcription in monocytes from patients with post-acute sequelae of COVID-19 by Hyunmin Koo, Casey D. Morrow

“…The identification of these HERV-host gene patterns provides a foundation needed to understand the clinical features of patients with PASC.…”
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Characteristics, Outcomes and Mortality Risk Factors of Pediatric In-Hospital Cardiac Arrest in Western China: A Retrospective Study Using Utstein Style by Jiaoyang Cao, Jing Song, Baoju Shan, Changxin Zhu, Liping Tan

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BlockDroid: detection of Android malware from images using lightweight convolutional neural network models with ensemble learning and blockchain for mobile devices by Emre Şafak, İbrahim Alper Doğru, Necaattin Barışçı, İsmail Atacak

“…Traditional malware detection studies require significant human intervention and resource consumption to analyze all malware files. Moreover, malware developers have developed polymorphism and code obfuscation techniques to evade traditional signature-based detection approaches used by antivirus companies. …”
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Using photorealistic 3D visualization to convey ecosystem restoration to the public by Abigail J. Hillen-Schiller, Dulci Steijvers, Dulci Steijvers, Jacob C. de Kok, Quan-Xing Liu, Jim van Belzen, Jim van Belzen, Rafael Bidarra, Johan van de Koppel, Johan van de Koppel

“…Our method showcases the inherent complexity of ecosystems, highlighting features such as spatial patterning and the dynamic processes that shape them, as well as the critical role of this complexity in supporting biodiversity. …”
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Laser‐Induced Structuring of Biocompatible Polymers for the Controlled Orientation of Multinucleated Myotubes by Clarissa Murru, Lucas Duvert, Daniel Ferry, Ahmed Al‐Kattan, Frederique Magdinier, Anne‐Patricia Alloncle, Stefano Testa, Adrien Casanova

“…These findings emphasize the potential of laser‐patterned polymer surfaces to guide muscle cell orientation and differentiation, providing a promising approach for developing functional surfaces in skeletal muscle tissue engineering.…”
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Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets by D. Dalmonech, E. Vangi, M. Chiesi, G. Chirici, L. Fibbi, F. Giannetti, G. Marano, C. Massari, A. Nolè, J. Xiao, A. Collalti

“…We apply a stand scale PBFM (3D-CMCC-FEM) in a spatially explicit manner at 1 km resolution in southern Italy. We developed a methodology to initialize the model that includes information derived from the integration of Remote Sensing (RS) and the National Forest Inventory (NFI) data and regional forest maps to characterize structural features of the main forest species. …”
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Reading the works of Verism through the magazines and critics of XIXth century. Text editions, lexical maps and thematic dictionaries in a user-oriented portal by Denise Bruno, Giuseppe Canzoneri, Salvatore Cristofaro, Antonio Di Silvestro, Laura Mazzagufo, Daria Spampinato

“…The focus is on the creation of a hybrid edition-archive, or knowledge site, where textual reading is complemented by both synchronic and diachronic data analysis. A central feature is the development of a lexical map, the Verbum dictionary, that links secondary literature on Verismo to primary sources through an interactive timeline (Ver-in-time). …”
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Epidemiological trends and clinical characteristics of measles in Iraq (2023–2024): a retrospective cross-sectional study by Mohammed A. Jalal, Kamil M. Halboot, Sundus A. Lami, Entidhar A. Gumar, Mortada H. Kreeb al-Delphi, Faris Lami, Taqi Mohammed Jwad Taher

“…This study aims to analyze the epidemiological patterns and clinical features of measles in Iraq to develop effective public health interventions. …”
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CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland by B. Kraft, M. Schirmer, W. H. Aeberhard, M. Zappa, S. I. Seneviratne, L. Gudmundsson

“…</p> <p>The developed data-driven model demonstrates not only competitive performance, but also notable improvements over traditional hydrological modeling in replicating daily runoff patterns, capturing interannual variability, and discerning long-term trends. …”
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Research on Creep Constitutive Model for High Temperature Reactor Based on Neural Network by ZHANG Fan, DAI Shoutong

“…This research aims to develop a novel creep constitutive model, leveraging neural networks to precisely predict long-term creep behavior from short-term data. …”
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DentoMorph-LDMs: diffusion models based on novel adaptive 8-connected gum tissue and deciduous teeth loss for dental image augmentation by Hanaa Salem Marie, Mostafa Elbaz, Riham sobhy Soliman, Amira Abdelhafeez elkhatib

“…We developed two novel biologically-inspired loss functions integrated within LDMs specifically designed for pediatric dental imaging: Gum-Adaptive Pixel Imputation (GAPI) utilizing adaptive 8-connected pixel neighborhoods that mimic pediatric gum tissue adaptive behavior, and Deciduous Transition-Based Reconstruction (DTBR) incorporating developmental stage awareness based on primary teeth transition patterns observed in children aged 2–12 years. …”
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Genome-wide analysis of CHYR gene family and BnA03.CHYR.1 functional verification under salt stress in Brassica napus L. by Yanli Guo, Qingxiao Ren, Manman Song, Xiangxiang Zhang, Heping Wan, Fei Liu

“…Each BnCHYR group shared similar patterns in the distribution of conserved domains. …”
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Paleogeomorphology reconstruction and its control on sand dispersal systems: a case study from the Pinghu formation in the Hangzhou slope belt, Xihu Sag, East China sea shelf basin by Lanzhi Qin, Jie Xu, Jie Xu, Jie Xu, Donghao Xu, Hao Liu, Hao Liu, Hao Liu, Kun Cai

“…This study applies the seismic virtual extrapolation method and mudstone sonic analysis to reconstruct the paleogeomorphology of the Pinghu Formation in the Hang-zhou Slope Belt of the Xihu Sag, aiming to elucidate the control of paleogeomorphic features on sedimentary sand body distribution. Based on detailed geological investigation and sedimentary analysis, combined with paleogeomorphic reconstruction techniques, geomorphic units and their spatial assemblages are identified, and the mechanisms by which variations in paleogeomorphic morphology and slope gradient influence sediment dispersal patterns are revealed. …”
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Expose flexible conformations for intrinsically disordered protein by Jiaan Yang, Wenxin Ji, Wen Xiang Cheng, Gang Wu, Si Tong Sheng, Peng Zhang, Jun Lin, Xiaojia Chen, Qiong Shi

“…Although many methods and databases provide information for intrinsically disordered protein (IDP), they are mainly limited to determining the intrinsically disordered regions (IDR) lacking knowledge of possible folding patterns. To overcome the barrier, the protein structure fingerprint technology has been developed, which includes PFSC (Protein Folding Shape Code) (Yang, 2008) and PFVM (Protein Folding Variation Matrix) (Yang et al., 2022) algorithms as well as FiveFold (Yang et al., 2025) approach for protein structure prediction, which are able explicitly to expose the possible conformational structures for intrinsically disordered protein. …”
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Stress State of Modular Blocks with Large Door Openings by Ilia Teshev, Aliy Bespayev, Murat Tamov, Zauresh Zhambakina, Ulan Altigenov, Timur Zhussupov, Aigerim Tolegenova

“…Experimental results revealed that crack opening characteristics, main load-bearing wall deformations, horizontal deflections, and failure patterns under vertical loads are directly influenced by the small thickness and increased flexibility of the blocks. …”
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The challenge of a late diagnosis of Autism Spectrum Disorder: co-occurring trajectories and camouflage tendencies. a case report of a young Autistic female with Avoidant Restricti... by Sara Passarini, Sara Passarini, Silvia Guerrera, Maria Picilli, Maria Picilli, Elisa Fucà, Laura Casula, Deny Menghini, Sabine Pirchio, Valeria Zanna, Giovanni Valeri, Stefano Vicari, Stefano Vicari

“…Both Autism Spectrum Disorder (ASD) and ARFID are characterized by the two main features of cognitive rigidity and sensory sensitivity, which may complicate differential diagnosis. …”
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