Tau follows principal axes of functional and structural brain organization in Alzheimer’s disease by Julie Ottoy, Min Su Kang, Jazlynn Xiu Min Tan, Lyndon Boone, Reinder Vos de Wael, Bo-yong Park, Gleb Bezgin, Firoza Z. Lussier, Tharick A. Pascoal, Nesrine Rahmouni, Jenna Stevenson, Jaime Fernandez Arias, Joseph Therriault, Seok-Jun Hong, Bojana Stefanovic, JoAnne McLaurin, Jean-Paul Soucy, Serge Gauthier, Boris C. Bernhardt, Sandra E. Black, Pedro Rosa-Neto, Maged Goubran

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Semantic SLAM using laser-vision data fusion: Enhancing autonomous navigation in unstructured environments by Ning Chen, Dong Wei, Dongsheng Lin, Linhan Lin

“…Semantic maps, which embed semantic information into spatial representations, enable robots to better interpret complex environments and improve their autonomous operation in unstructured, GPS-denied, and extreme settings. In this context, an advanced semantic SLAM algorithm, termed NN-SLAM, is proposed based on the fusion of visual and laser data. …”
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Research on Data Transfer Method for Multi-physics Coupling Based on Unstructured Mesh Monte Carlo by LI Rui1, LIU Shichang1, , WANG Lipeng2, WANG Zhenyu1, CHEN Yixue1

“…Among these, the neutronic-thermal-mechanical coupling and neutronic-thermal-fluid coupling analyses have a significant impact on the reactor design. In addressing the data transfer issues in the multiphysics coupling process of reactors, this study employs a hybrid approach that integrates unstructured mesh (UM) Monte Carlo with finite element methods. …”

Cancer pain and quality of life structural equation model based on the biopsychosocial model by Xiaoyu Hu, Jingjing Lü, Chang Qin, Xiaoxuan Liu, Jianbiao Zhu, Yongchun Cui

“…Abstract Objective This study employed a biopsychosocial framework to develop structural equation models(SEM)quantifying the multidimensional impact of pain on quality of life in cancer patients, aiming to provide scientific evidence and novel clinical perspectives for evidence-based pain management strategies. …”
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Modelling and optimisation of the structural performance of lightweight polypropylene fibre-reinforced LECA concrete by Idris Ahmed Ja'e, Zakaria Che Muda, Mugahed Amran, Agusril Syamsir, Chiemela Victor Amaechi, Ebrahim Hamid Hussein Al-Qadami, Marco Antonio Díaz Huenchuan, Siva Avudaiappan

“…However, achieving an optimal balance between structural weight, and performance remains a challenging endeavour. …”
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STRUCTURAL FEATURES OF PURULENT INFLAMMATORY DISEASES OF THE MAXILLOFACIAL REGION IN RESIDENTS OF THE POLTAVA REGION by D.V. Steblovskyi, M.G. Skikevich, V.V. Bondarenko

“…The aim of the study. Investigate the structure and frequency of purulent inflammatory diseases in residents of Poltava region. …”
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Structural Geomorphology and Tectonic Dynamism of the Lolodorf Segment, Nyong Complex, SW Cameroon by Messi Ottou Eric José, Etoundi Akoa Philémon Rémi, Ntieche Benjamin, Ntomba Sylvestre Martial, Evina Aboula Yannick Saturnin, Ndjigui Paul-Désiré

“… The study of the structural geomorphology and tectonic dynamism of the Lokoundjé and Nyong watersheds has made possible to discriminate the essential geological objects of the Lolodorf region (3°10’- 3°25’N, 10°40’- 10°55’E), in Southern Cameroon. …”
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Structural and morphological features of microcrystalline сellulose from industrial hemp hurd by L. O. Barybina, T. V. Tkachenko, O. O. Haidai, V. S. Sokol, B. V. Korinenko, D. S. Kamenskyh, Y. V. Sheludko, V. A. Povazhny, V. A. Bohatyrenko, S. V. Ruban, V. O. Yevdokymenko

“…To obtain microcrystalline cellulose, the hemp hurd was subjected to organo-solvent cooking. The structure and morphology of the MCC were studied using methods such as XRD, XRF, FTIR-ATR, low-temperature nitrogen sorption-desorption, AFM, TGA, and DSC. …”
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Structural effects of high laser power densities on an early bacteriorhodopsin photocycle intermediate by Quentin Bertrand, Przemyslaw Nogly, Eriko Nango, Demet Kekilli, Georgii Khusainov, Antonia Furrer, Daniel James, Florian Dworkowski, Petr Skopintsev, Sandra Mous, Isabelle Martiel, Per Börjesson, Giorgia Ortolani, Chia-Ying Huang, Michal Kepa, Dmitry Ozerov, Steffen Brünle, Valerie Panneels, Tomoyuki Tanaka, Rie Tanaka, Kensuke Tono, Shigeki Owada, Philip J. M. Johnson, Karol Nass, Gregor Knopp, Claudio Cirelli, Christopher Milne, Gebhard Schertler, So Iwata, Richard Neutze, Tobias Weinert, Jörg Standfuss

“…Although the effects of high laser power densities on the overall structure are small, in the upper excitation range we observe significant changes in retinal conformation and increased heating of the functionally critical counterion cluster. …”
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The arabic version of the fat phobia scale—short form: reliability and structural validity by Hadeel Ghazzawi, Ahmad Alenezi, Sally Souraya, Omar Alhaj, Khaled Trabelsi, Adam Amawi, Mai Helmy, Zahra Saif, Beatrice “Bean” E. Robinson, Haitham Jahrami

“…According to the fit indices, the F-Scale 14 demonstrated a satisfactory level of structural validity in Arab cultures. Fit indices are statistical measures used in confirmatory factor analysis (CFA) to assess how well a proposed model fits the observed data. …”
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Structural abnormalities of the cerebellar gray matter and cerebellar peduncles in cervical dystonia patients by Mingjing Qiu, Yongsheng Xiang, Lixi Li, Lizhen Pan, Yunping Song, Liang Feng, Lingjing Jin

“…Between-group differences in gray matter volumes of cerebellar subregions and fiber morphometric properties of the cerebellar peduncles (CP) were investigated using voxel-based, region of interest-based and fixel-based analysis, respectively. The significant structural changes were correlated with clinical data, including disease duration and the first section of TWSTRS. …”
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Structural Variations Associated with Adaptation and Coat Color in Qinghai‐Tibetan Plateau Cattle by Xiaoting Xia, Fuwen Wang, Xiaoyu Luo, Shuang Li, Yang Lyu, Yining Zheng, Zhijie Ma, Kaixing Qu, Rende Song, Jianyong Liu, Jicai Zhang, Basang Wangdui, Basang Zhuzha, Suolang Quji, Li Zhao, Silang Wangmu, Ciren Luobu, Nima Cangjue, Danzeng Luosang, Suolang Sizhu, Haijian Cheng, Ruizhe Li, Zhipeng Wu, Ruihua Dang, Yongzhen Huang, Xianyong Lan, Luohao Xu, Haifei Hu, WaiYee Low, Zhuqing Zheng, Yu Wang, Yuanpeng Gao, Lu Deng, Johannes A. Lenstra, Jianlin Han, Xueyi Yang, Wenfa Lyu, Bizhi Huang, Chuzhao Lei, Ningbo Chen

“…Abstract Structural variations (SVs) play crucial roles in the evolutionary adaptation of domesticated animals to natural and human‐controlled environments, but SVs have not been explored in Tibetan cattle, which recently migrated and rapidly adapted to the high altitudes of the Qinghai‐Tibetan Plateau (QTP). …”
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The Structural and Kinematical Properties of NGC 5634, a Globular Cluster Associated with the Sagittarius Dwarf Galaxy? by Shouzhi Wang, Jundan Nie, Biwei Jiang, Hao Tian, Chao Liu, Ying-Hua Zhang

“…We investigate the origin of NGC 5634 through a comprehensive analysis of its morphology, kinematics, and dynamics. Utilizing data from the DESI Legacy Survey, we refined its fundamental parameters (age τ = 12.8 ± 0.3 Gyr, metallicity [Fe/H] = −1.8 ± 0.1 dex, distance modulus dm = 17.0 ± 0.1 mag) and constructed a matched-filter template based on the combination of these parameters to search for extra-tidal structures. …”
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Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures by Mathilde Papillon, Sophia Sanborn, Johan Mathe, Louisa Cornelis, Abby Bertics, Domas Buracas, Hansen J Lillemark, Christian Shewmake, Fatih Dinc, Xavier Pennec, Nina Miolane

“…The enduring legacy of Euclidean geometry underpins classical machine learning, which, for decades, has been primarily developed for data lying in Euclidean space. Yet, modern machine learning increasingly encounters richly structured data that is inherently non-Euclidean. …”
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Geotectonics and geodynamics of structures of the stretching of continents and oceans, communications with rudo petroleum potential and seismicity by Vladimir Mikhaylovich Harchenko, Galina Valentinovna Kolyadova, Boris Fyodorovich Galaj, Marina Anatolievna Beytuganova

“…To assess the concepts about the structures of the stretching assembled factual material: data structures of stretching of various ranks in the Eastern and Western Ciscaucasia, and the Red Sea. …”
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The political structures and its influences in sport development in the state of Paraná, Brazil: the case of athletics by Lenamar Fiorese Vieira, José Luiz Lopes Vieira

“…Informer's record, semi-structured interview, research diary and documents, were used to collect the data. …”
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Validation of modeling the delamination process of composite panels of load-bearing elements of aircraft structures by I. S. Belousov

“…Both in the manufacture and operation of structural elements made of layered composite materials, interlayer defects may occur upon impact as a result of operation or violation of manufacturing technology, which significantly reduces the strength characteristics of such structures. …”
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Identifying and Forecasting Recurrently Emerging Stock Trend Structures via Rising Visibility Graphs by Zhen Zeng, Yu Chen

“…This approach produces graph representations that capture direction-sensitive market dynamics and facilitate the extraction of meaningful topological features from price data. By applying the WL kernel, RVGWL quantifies structural similarities between graph-transformed time series, enabling the identification of structurally similar preceding patterns and the probabilistic forecasting of their subsequent trajectories based on nine canonical trend templates. …”
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Ensemble refinement of mismodeled cryo-EM RNA structures using all-atom simulations by Elisa Posani, Pavel Janoš, Daniel Haack, Navtej Toor, Massimiliano Bonomi, Alessandra Magistrato, Giovanni Bussi

“…An analysis of all RNA-containing structures deposited in the Protein Data Bank reveals that this issue affects most cryo-EM structures in the 2.5–4 Å range. …”
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Lamb wave ultrasonic testing technology for diagnosis and prediction of hidden cracks in metal structures by Dawen Yao, Peiwen Meng, Shuqi Li, Jinggang Xu

“…Abstract In the field of traditional hidden crack detection in metal structures, detection technologies are often limited by low sensitivity and imprecise data analysis. …”
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