Unsupervised alignment reveals structural commonalities and differences in neural representations of natural scenes across individuals and brain areas by Ken Takeda, Kota Abe, Jun Kitazono, Masafumi Oizumi

“…To address this, we propose an unsupervised alignment framework based on Gromov-Wasserstein Optimal Transport, which identifies correspondences between neural representations solely from internal similarity structures, without relying on stimulus labels. Applying this method to Neuropixels recordings in mice and fMRI data in humans viewing natural scenes, we found that the neural representations in the same visual cortical areas can be well aligned across individuals in an unsupervised manner. …”
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Research on Structural Mechanics Stress and Strain Prediction Models Combining Multi-Sensor Image Fusion and Deep Learning by Yifeng Shan, Mengzhe Zhen, Heinz D. Fill

“…This work establishes a transformative pathway for incorporating multi-sensor data fusion into structural analysis, advancing the predictive power and applicability of stress–strain models.…”
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Synthesis, Structural Studies of Some New Transition Metals Complexes of Semicarbazide hydro chloride Schiff Base Derivatives by Baghdad Science Journal

“…The magnetic susceptibility and UV-Vis spectral data of the complexes suggest a square planer geometry for Co(II) and Cu(II) but Fe(III) octahedral geometry and Ni(II) tetrahedral geometry around the central metal ion.Hyper Chem-6 program has been used to predict structure geometries of compounds in gas phase .The electrostatic potential of the free ligands were calculated to investigate the reactive sites of the molecules .The heat of formation(?…”
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“They just left me”: people seeking asylum, mental and physical health, and structural violence in the UK’s institutional accommodation by Jenny Phillimore, Lin Fu, Lucy Jones, Laurence Lessard-Phillips, Briony Tatem

“…We analyzed qualitative and quantitative data on individuals’ mental and physical health using a structural violence analytical framework. …”
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Long-read sequencing of 945 Han individuals identifies structural variants associated with phenotypic diversity and disease susceptibility by Jiao Gong, Huiru Sun, Kaiyuan Wang, Yanhui Zhao, Yechao Huang, Qinsheng Chen, Hui Qiao, Yang Gao, Jialin Zhao, Yunchao Ling, Ruifang Cao, Jingze Tan, Qi Wang, Yanyun Ma, Jing Li, Jingchun Luo, Sijia Wang, Jiucun Wang, Guoqing Zhang, Shuhua Xu, Feng Qian, Fang Zhou, Huiru Tang, Dali Li, Chinese Pangenome Consortium (CPC), Fritz J. Sedlazeck, Li Jin, Yuting Guan, Shaohua Fan

“…Abstract Genomic structural variants (SVs) are a major source of genetic diversity in humans. …”
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Structural mpdel of chronic pain based on mindfulness, social support and life events with the mediating role of pain catastrophizing by susan Bahrami Koohshahi, Fatemeh Golshani, Anita Baghdassarians, Afsaneh Ghanbari Panah

“…Data analysis was done by structural equation modeling method and using SPSS-23 and AMOS-23 software. …”
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Combined Use of Spectral and Structural Features for Improved Early Detection of Pine Shoot Beetle Attacks in Yunnan Pines by Yujie Liu, Youqing Luo, Run Yu, Lili Ren, Qi Jiang, Shaoshun He, Xinqiang Chen, Guangzhao Yang

“…This study developed a UAV-based framework for detecting early-stage PSB attacks by integrating hyperspectral images (HSIs), LiDAR point clouds, and structure from motion (SfM) photogrammetry data. Individual tree segmentation algorithms were utilized to extract both spectral and structural variables of damaged tree crowns. …”
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Structural Equation Modeling of Academic Procrastination Based on Motivational Beliefs with the Mediating Role of Academic Vitality Among Students by Rouhollah Salehitabar, Rahim Davari, Hossein Ebrahimimoghadam

“…The research was aimed at structural equation modeling of academic procrastination based on motivational beliefs with the mediating role of academic vitality among students. …”
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Evaluation of the character of structural and functional changes in cerebral vessels in patients with ischemic cerebrovascular diseases on the background of multifocal lesions. by O. A. Rosits'ka

“…The hemodynamic consequences of brain damage depend on the state of the autoregulation system of the cerebral circulation, on the severity, prevalence and rate of progression of the atherosclerotic process (one or more basins), changes in the vascular wall, and the features of the anatomical structure of the cerebral vascular system. Most registries cannot determine the cause of stroke in 25-40% of patients - the so-called cryptogenic strokes. …”
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The Role of Diffusion-Tensor Magnetic Resonance Imaging and Tractography in the Diagnosis of Structural Brain Disorders in Children with Cerebral Palsy by Yu. V. Ermolina, L. S. Namazova-Baranova, A. M. Mamedyarov, A. V. Anikin, O. I. Maslova

“…Using diffusion-tensor magnetic resonance imaging and tractography, it became possible to conduct comprehensive structural and functional studies, to study the main stages of the brain maturation in dynamics, and to compare the morphological data with peculiarities of psycho-verbal and motor development of a child, as well as to conduct clinical and neuroimaging comparison. …”
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Protocol for purification, crystallization, and structure determination of the mpox virus mRNA cap N7 methyltransferase complex by Qingqing Guo, Anke Chen, Jin Ding, Jixi Li

“…We further outline X-ray diffraction data collection and structure determination. This reproducible framework enables structural analysis of viral mRNA-modifying enzyme complexes.For complete details on the use and execution of this protocol, please refer to Chen et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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Human resources management practices and organisational performance in the Nepalese development banks: Insights from structural equation modelling by Rewan Kumar Dahal, Binod Ghimire, Sujan Budathoki Magar

“…Design/methodology/approach: The study followed a causal-comparative research approach. It employed a structured questionnaire to gather the necessary data from 257 working representatives of the ten selected Nepalese DBs. …”
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From Material to Solution: Implementing Shape Memory Behavior of Thermoplastic Polymers in Commercial FEA Software for Structural Analysis by Fabian Neumann, Ferdinand Cerbe, Michael Sinapius

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Research on structural vertical stiffness evaluation of track-specific suspension bridge under the action of the no-load first train by Xiaogang Li, Sihan Cen, Peng Ding, Xiaohu Chen, Xiangsheng Huang, Haoran Luo

“…Firstly, the f − v − t (deformation-velocity-time) data of trains on the bridge are analyzed through linkage numerical simulation, track train transponder, and structural safety monitoring system. …”
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Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks by Tarek Berghout

“…Structural health monitoring (SHM) is crucial for ensuring the safety and longevity of military training aircraft, which face demanding conditions such as high maneuverability, variable loads, and extreme environments, leading to structural fatigue. …”
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Computational Evaluation of the Structural, Topological, and Solvent Effects on the Nonlinear Optical Properties of 1-Methylurea Butanedioic Acid Crystal by Stanley Numbonui Tasheh, Nyiang Kennet Nkungli, Charly Tedjeuguim Tsapi, Dodo Lydie Ajifac, Julius Numbonui Ghogomu

“…Presented here is a comprehensive theoretical analysis of the structural, topological, and NLO features of 1-methylurea butanedioic acid (MUBA) alongside solvent effects (water, DMSO, and benzene) using the DFT method at the B3LYP(D4)/6–311++G(d,p) level. …”
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An end-to-end deep learning framework for structural damage assessment using semantic segmentation and point cloud analysis by Kavin Karthik V, Aravind N, Suganya R, Ramani Kannan

“…To overcome these challenges, we propose a comprehensive pipeline that includes: (1) automated drone path planning to capture high-resolution 2D images of structures, (2) a novel Semantic Segmentation Hybrid model for segmentation of cracks and damages in structures, (3) 3D scene reconstruction from segmented multi-view 2D images using photogrammetry techniques, and (4) a novel 3D point cloud classification model built on PointNet for multi-class classification of damages on the 3D data to classify structural damage into three levels: No Damage, Heavy Damage, and Destruction. …”
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Structural equation model of marital satisfaction based on sexual self-efficacy with the mediation of circadian rhythms in nursing women by Seyedeh Mina Abbasi, Azita Chehri, Mokhtar Arefi

“…Sexual self-efficacy questionnaire (Vaziri and Lotfi Kashani 2018), Marital satisfaction scale (Hudson et al., 1981), and Circadian rhythms scale (Jaafari Roudbandi et al., 2012) as data collection tools were used. After confirming the normality of the data, the structural equation model was used with SmartPLS3 software. …”
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Tumor break load quantitates structural variant-associated genomic instability with biological and clinical relevance across cancers by Soufyan Lakbir, Renske de Wit, Ino de Bruijn, Ritika Kundra, Ramyasree Madupuri, Jianjiong Gao, Nikolaus Schultz, Gerrit A. Meijer, Jaap Heringa, Remond J. A. Fijneman, Sanne Abeln

“…Abstract While structural variants (SVs) are a clear sign of genomic instability, they have not been systematically quantified per patient since declining costs have only recently enabled large-scale profiling. …”
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Structural exposure of different microtubule binding domains determines the propagation and toxicity of pathogenic tau conformers in Alzheimer's disease. by Lenka Hromadkova, Chae Kim, Tracy Haldiman, Mohammad Khursheed Siddiqi, Krystyna Surewicz, Kiley Urquhart, Dur-E-Nayab Sadruddin, Lihua Peng, Xiongwei Zhu, Witold K Surewicz, Mark L Cohen, Mark R Chance, Rohan de Silva, Janna Kiselar, Jiri G Safar

“…In contrast, the major driver of calcium influx induced in neurons by the accumulation of misfolded tau was the structural exposure of the R1 domain. The data provide compelling evidence for a major diversity in the structural organization of MTBDs of misfolded AD brain-derived tau protein and implicate the structural exposure of distinct domains in different pathogenetic steps of AD - R4 tau domain in progression rate, and R1 domain in variable synaptic toxicity of misfolded tau, and thus in cognitive decline.…”
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