Knowledge Error Detection via Textual and Structural Joint Learning by Xiaoyu Wang, Xiang Ao, Fuwei Zhang, Zhao Zhang, Qing He

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Structural connectome constrained graphical lasso for MEG partial coherence by Anirudh Wodeyar, Ramesh Srinivasan

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NMR Data Analysis of Acarbose by LI Yujiang, ZHAO Wei, TAO Le, LU Bohua, ZHENG Guo, ZHANG Haiyan, GUO Xiaohe, ZHAO Tianzeng

“…The molecular structure of acarbose was confirmed, providing a reliable data basis for the safety and quality control of acarbose drugs.…”
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Groundwater exploration using resistivity and magnetic data at the northwestern part of the Gulf of Suez, Egypt by Abdel Galil A. Hewaidy, Essam A. El-Motaal, Sultan A. Sultan, Talaat M. Ramdan, Ahmed A. El khafif, Shokry A. Soliman

“…The present study aims to investigate the ground water accumulations present in the area located west of the Gulf of Suez, to face the new urbanization settlements of industrial national projects in the study area using geoelectrical and magnetic measurements. Magnetic data interpretation was carried out using the RTP magnetic data (or, through analyzing the RTP aeromagnetic map) to determine the depth to the surface of basement rocks and delineate the trends of structural elements. …”
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Reconstructing missing data of damaged buildings from post-hurricane reconnaissance data using XGBoost by Hyunje Yang, Jun-Whan Lee, Steven Klepac, Armando Ulises Santos Cruz, Arthriya Subgranon, Junfeng Jiao

“…For each region, we analyzed the model’s performance depending on the missing structural features. We also demonstrated the importance of including geospatial, hazard, and damage level data by showing improved performance of XGBoost models compared to those trained only on known structural data. …”
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Review Condition of Fitness Clubs in Ardabil from the Perspective of Safety and Security by Mohammad Sadeg Ojeh, Nasrin Azizian Kohan

“…Non-structural safety considerations: Ventilation and thermostats-average/Guides and signs-average/Medium light and sound systems/Parking and amenities-weak. …”
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Enceladus's internal ocean and ice shell constrained from Cassini gravity, shape, and libration data by Ondřej Čadek, Gabriel Tobie, Tim Van Hoolst, Marion Massé, Gaël Choblet, Axel Lefèvre, Giuseppe Mitri, Rose‐Marie Baland, Marie Běhounková, Olivier Bourgeois, Anthony Trinh

“…Here we develop an interior structure model consisting of a rocky core, an internal ocean, and an ice shell, which satisfies simultaneously the gravity, shape, and libration data. …”
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Molecular structure data and modelling roadmap for optimized oxidized graphene quantum dot and epoxy interface and mechanical propertiesMendeley Data by Prathamesh Deshpande, Robert Chan-Jobe, Ozgur Keles

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WORKLOAD DYNAMICS OF MEDICAL PROFESSIONALS IN BULGARIAN HEALTHCARE SYSTEM: EVIDENCES FROM AGGREGATE DATA by Nikolay Atanasov, Krikor Indjian

“…Basic econometric methods, such as tests for structural breaks and dynamic rows modeling based on "macro-" or aggregate data, are implemented. …”
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Structured-illumination reflectance imaging for the evaluation of microorganism contamination in pork: effects of spectral and imaging features on its prediction performance by Binjing Zhou, Xiaohua Liu, Yan Ge, Kang Tu, Jing Peng, Juan Francisco García-Martín, Jie Wu, Weijie Lan, Leiqing Pan

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The 102–103° E geodivider in the modern lithosphere structure of Сentral Asia by Yu. G. Gatinsky, T. V. Prokhorova, D. V. Rundquist

“…According to our investigations, the 102–103° E geodivider is a regional geological-geophysical border that may be compared with the Tornquist Line, and, by its scale, with the Uralian and Appalachian fronts and some others large structures.…”
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Relationship between population growth and socialeconomic development in the age structure perspective (on the example of Vietnam) by Thi Minh Hoa Nguyen, Ngoc Thanh Pham, Tuan Anh Ha

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The Current Status of Structural Monitoring: A Bibliometric Literature Review by Mihai Dorin Isac, Cosmina Cîmpean, Daniela Lucia Manea

“…Monitoring the behavior of structures over time is a defining activity for any type of construction that provides data necessary to assess whether these structures meet requirements for stability and durability. …”
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Small language models enable rapid and accurate extraction of structured data from unstructured text: An example with plants and their specialized metabolites by Lucas Busta, Alan R. Oyler

“…Small language models (SLMs), however, also have potential in this area as they have smaller compute footprints and allow users to keep data in-house. Here, we quantitatively evaluate the ability of SLMs to: (i) score references according to project-specific relevance and (ii) extract and structuring data from unstructured sources (scientific abstracts). …”
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Identifying long-term conditions in New Zealand general practice using structured and unstructured data: a cross-sectional study by Vanessa Selak, Katrina Poppe, Sue Wells, Yeunhyang Catherine Choi, Allan Ronald Moffitt, Claris Yee Seung Chung, Jane Ullmer

“…Objectives This study examined whether incorporating free-text entries into structured general practice records improves the detection of long-term conditions (LTCs) and multimorbidity (MM) in New Zealand (NZ) general practices.Methods Data from 374 071 deidentified individuals in general practices were analysed to identify 61 LTCs. …”
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Enhancing Frailty Assessments for Transcatheter Aortic Valve Replacement Patients Using Structured and Unstructured Data: Real-World Evidence Study by Mamoun T Mardini, Chen Bai, Anthony A Bavry, Ahmed Zaghloul, R David Anderson, Catherine E Crenshaw Price, Mohammad A Z Al-Ani

“…ObjectiveThis study aimed to enhance frailty assessments of TAVR candidates by integrating real-world structured and unstructured data. MethodsThis study analyzed data from 14,000 patients between January 2018 and December 2019 to assess frailty in TAVR patients at the University of Florida. …”
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Structured insight: an innovative disambiguation paradigm for semi-supervised partial label learning by Xin Niu, Jing Chai, Musaed Alhussein, Khursheed Aurangzeb

“…However, many SPLL methods adopted unique disambiguation strategy to tackle both partial label data and unlabeled data, which often fail to account for the intrinsic structural differences between partial label data and unlabeled data, resulting in suboptimal disambiguation and degraded performance. …”
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An open-source platform for structured annotation and computational workflows in digital pathology research by Luca Lianas, Mauro Del Rio, Luca Pireddu, Oskar Aspegren, Francesca Giunchi, Michelangelo Fiorentino, Simone Leo, Renata Zelic, Per Henrik Vincent, Nicolas Destefanis, Daniela Zugna, Lorenzo Richiardi, Andreas Pettersson, Olof Akre, Francesca Frexia

“…However, currently available open-source annotation tools typically employ single-label approaches that provide a flat representation of whole-slide images (WSI), limiting their ability to capture the complexity of the diagnosis-significant elements in a detailed and structured way. Furthermore, the difficulty of strictly following precise review protocols and lack of provenance tracking during annotation processes can result in high variability and limit reproducibility and reusability of the collected data. …”
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THE PARAMETER ANALYSIS OF CUBICAL STRUCTURED CADMIUM TELLURIDE (CdTe) SEMICONDUCTOR MATERIALS by Sinta Puspita Apriliani, Susi Susilawati, Koharudin Koharudin, Sarah Nabilah, Dwi Lestariningsih, Witri Desmulyani, Anis Munir Rukyati, Muhammad Fikri Fakhrurozi, Stefiana Sondary Az Zahrah, Irmansyah Irmansyah, Irzaman Irzaman

“…Cadmium telluride (CdTe) semiconductor materials will be used to analyze the energy gap, lattice parameters, and error value of these cubical structured crystal materials. The data that we used to be analyzed is using data from the International Center for Diffraction Data (ICDD) that used the X-ray Diffraction (XRD) method. …”
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Improved detection algorithm for rail profile wear based on line structured light by LIU Zhengfeng, CHEN Jianzheng, LI Wei

“…However, during the operation of track inspection vehicles, the profile data collected by the rail profile wear detection system based on linear structured light is often disrupted by noise from various outliers, leading to significant geometric variations in the rail profile calculation results. …”
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