Region-informed machine learning model for choroid plexus segmentation in Alzheimer’s disease by Liangdong Zhou, Tracy A. Butler, Xiuyuan H. Wang, Samantha A. Keil, Seyed Hani Hojjati, Tsung-Wei Hu, Mélissa Savard, Firoza Z. Lussier, Pedro Rosa-Neto, Lidia Glodzik, Mony J. de Leon, Gloria C. Chiang, Yi Li

“…IntroductionThe choroid plexus (CP), a critical structure for cerebrospinal fluid (CSF) production, has been increasingly recognized for its involvement in Alzheimer’s disease (AD). …”
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Method of integrated consideration of factors for calculation of anchor system of pontoons by Kozinetc Galina, Badenko Vladimir, Sharapov Dmitry, Shonina Ekaterina

“…The simulation results make it possible to identify key operating conditions for protective and berthing structures in the Neva Bay and provide information for inclusion in the information model of the water area, which will allow predicting the behavior of structures under changing natural and climatic conditions.…”
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Surgical treatment of the thyroid nodes of uncertain cytological structure by Yu. M. Таrashchenko, А. E. Коvalenko, M. V. Оstafiychuk, I. R. Yanchiі, M. D. Melnyk, G. V. Zelinskaya, Yu. M. Naida

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Physics-Informed Neural Networks and Fourier Methods for the Generalized Korteweg–de Vries Equation by Rubén Darío Ortiz Ortiz, Ana Magnolia Marín Ramírez, Miguel Ángel Ortiz Marín

“…Numerical experiments show that while spectral methods achieve superior efficiency in structured domains, PINNs provide flexible, mesh-free alternatives for data-driven and irregular setups. …”
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Artificial Neural Network-Based Prediction of Total Eccentricities in Existing Buildings Using Ambient Vibration Records by Farah Kahlouche, Nouredine Bourahla, Ismail Derbal, Ahmed Mebarki

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A Mutual Information Constrained Multitask Learning Method for Very High-Resolution Building Segmentation by Yongchuang Wu, Yingchun Wang, Hui Yang, Peng Zhang, Yanlan Wu, Biao Wang

“…The MIMNet introduces a contextual information parallel perception structure to capture both global and local building features. …”
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A novel network with enhanced edge information for left atrium segmentation from LGE-MRI by Ze Zhang, Zhen Wang, Xiqian Wang, Kuanquan Wang, Yongfeng Yuan, Qince Li

“…Compared with other state-of-the-art algorithms, the proposed algorithm demonstrated a significant improvement with an average symmetric surface distance of 0.684 mm and achieved a commendable Dice coefficient of 0.924, implicating the effectiveness of enhancing edge information.DiscussionThe method offers a practical framework for precise LA localization and segmentation, particularly strengthening the algorithm’s effectiveness in improving segmentation outcomes for irregular protrusions and discrete multiple targets. …”
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The Lithosphere‐Asthenosphere System Beneath the North Atlantic and Surroundings: Results From Multi‐Observable Probabilistic Inversions by Farshad Salajegheh, Juan Carlos Afonso, Alexander Minakov, Parviz Ajourlou, Carmen Gaina, Olga Ortega‐Gelabert

“…Our model reveals an intricate sublithospheric flow system, driven by the interaction of deep upwellings with the highly irregular lithospheric structure. We corroborate that the main thermal anomaly in the sublithospheric mantle shows a tilted geometry, moving toward Greenland with depth. …”
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Structural and functional properties of pectin extracted from African star apple by Joyce Duah, Jacob K. Agbenorhevi, Fidelis M. Kpodo, Firibu K. Saalia

“…Despite exploring other potential sources of pectin, available information on the functional properties of African star apple (ASA) (Chrysophyllum albidum) pectin and its structural composition is limited. …”
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Joint P- and S-Wave VSP Traveltime Tomography via Well Log-Guided Physics-Informed Neural Networks by Tengyu Wang, Dingding Deng, Duoming Zheng, Zhen Zhang, Wenjun Luo, Yang Liu

“…Traveltime tomography is widely used in seismology to construct accurate long-wavelengthsubsurface velocity models and to investigate the Earth’s internal structure and dynamic processes. The joint inversion of vertical seismic profile (VSP) P- and S-wave velocities provides opportunities, but alsopresents challengesdue to the limitations of conventional numerical solvers, which are generally constrained to first-order accuracy and perform poorly on irregular computational grids. …”
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Deep nested U-structure network with frequency attention for building semantic segmentation by Khaled Moghalles, Zaid Al-Huda, Dalal AL-Alimi, Yeong Hyeon Gu, Mugahed A. Al-antari

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Design of an Underwater Robot System for Detecting Defects in Hydraulic Structures at Hydropower Stations by ZHANG Yi, ZHU Jun, YUAN Qingqing, WENG Yewei, PENG Shidong, SHEN Weige

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Graph neural network approach with spatial structure to anomaly detection of network data by Hao Zhang, Yun Zhou, Huahu Xu, Jiangang Shi, Xinhua Lin, Yiqin Gao

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Effects of Hypoxic Stress on Tissue Structure and Gut Bacterial Community of Exopalaemon carinicauda by Xinlei ZHOU, Qingyang LI, Jiawei ZHU, Shumin XIE, Mintao WANG, Ting YANG, Chaofan XING, Huan GAO, Qingqi ZHANG, Panpan WANG

“…The experimental results showed that gill and hepatopancreas tissues underwent different degrees of damage after hypoxic stress; the gut bacterial community changed, some pillar and epithelial cells of gill tissues were disordered, the number of chloride cells was significantly reduced, chloride cells were changed from irregularly flattened to rounded, the secondary lamellae was aggravated, and the gill tissues changed their morphology and structure to alleviate the hypoxic stress. …”
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Visualizing the structure and motion of sporadic E layer using marine traffic radio signals by Keisuke Hosokawa, Nanako Mayumi, Atsushi Yamamoto, Susumu Saito, Satoshi Andoh, Hiroyuki Shinagawa, Toru Takahashi, Jun Sakai, Takuo Tsuda, Ichiro Tomizawa, Hiroyuki Nakata, Akinori Saito, Manabu Shinohara, Michi Nishioka, Takuya Tsugawa, Mamoru Ishii

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Predicting trajectories of coastal area vessels with a lightweight Slice-Diff self attention by Jinxu Zhang, Jin Liu, Xiliang Zhang, Lai Wei, Zhongdai Wu, Junxiang Wang

“…Recently, graph-based methods have also been used to predict trajectories, however processing graph-structured data introduces significant increase in computation. …”
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Effect of personalized ETA appliance on mixed dentition stage patients with Class Ⅱ malocclusion by ZUO Xiang, LI Qin, ZHANG Youmeng, CHEN Weixu, MA Xiaokai, LI Dongmei

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Towards an Indicator-Based Morphological Informality Model for Sub-Saharan Africa Using Open Building Footprint and Road Data (Version 1) by S. Hafner, Q. Zhao, A. Abascal, M. Comerio de Paulo, G. Tregonning, A. Middleton, A. Shonowo, M. Kuffer, R. Engstrom, D. R. Thomson, F. C. Onyambu, C. Kabaria, P. Elias, O. Odulana, B. Alugbin, K. Baruwa, J. Porto de Albuquerque

“…The research focuses on ”unplanned urbanization,” a key domain in informal settlement mapping, and proposes a method to classify morphological informality into three deprivation levels (low, medium, and high) based on two subdomains: small, dense structures (SDS) and irregular settlement layouts (ISL). …”
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Dataset on guided waves from long-term structural health monitoring under uncontrolled and dynamic conditions by Kang Yang, Zekun Yang, Hanbo Yang, Junkai Zhou, Zhongzheng Ren Zhang, Linyuan Wang, Zhihui Tian, Sungwon Kim, Joel B. Harley

“…The dataset includes measurement times, temperature, humidity, air pressure, brightness, and weather information to aid in damage detection. The provided public dataset aims to assist researchers in developing more practical methods for structural health monitoring in uncontrolled and dynamic environments.…”
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Species diversity, population structure, and regeneration status of tree species in Sawai Mansingh Sanctuary, Rajasthan, India by Pragya Dadhich, Anita Malav, Poonam Jaiswal

“…For the sake of their diversity and continued existence, natural forests must be preserved. The population structure, diversity, and distribution of tree species offer fundamental data for the management and conservation of forests. …”
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