Analyzing the ecologicality and functionality of kiln architecture in China through KH coder data mining algorithm and hierarchical event coding by Runze Liu, Xiang Wang, Lin Yuan, Yunting Gao, Yan Zhang, Mengsi Yang, Weicong Li

“…Based on constructing ecologicality-architecture-cultural resilience theory, this study analyzes the structural features, ecological technologies, and conservation status of kiln architecture across various regions in China through KH Coder data mining and hierarchical event coding method and proposes a new protective framework. …”
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Automated extraction and summarization of wind disaster data using deep learning models, with extended applications to seismic events by Huy Pham, Monica Arul

“…This research leverages such data to develop a framework that automates the extraction and summarization of structural and community damage information from reconnaissance reports. …”
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Data commons by Gijs van Maanen, Charlotte Ducuing, Tommaso Fia

“…We structure the literature on data commons to contextualise, historicise, and politicise data commons, and ultimately understand them as ways of living together (with data) rather than as instruments to manage data.…”
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NIMS fatigue data sheet on gigacycle fatigue properties of A2017 (Al-4.0Cu-0.6Mg) aluminium alloy by Yoshiyuki Furuya, Hideaki Nishikawa, Hisashi Hirukawa

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Design and Validation of the MANTiS-32 Wireless Monitoring System for Real-Time Performance-Based Structural Assessment by Jaehoon Lee, Geonhyeok Bang, Yujae Lee, Gwanghee Heo

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ASSESSMENT OF GAS-HYDROTHERMAL ACTIVITY OF THE BAIKAL RIFT IN THE LAKE AREA FROM NUMERICAL EXPERIMENT DATA by V. I. Gunin

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Bibliometric insights into mobile money and data trendsMendeley Data by Thi Thuy Hang Vu

“…This data aims to analyze the intellectual structure of mobile money studies by examining bibliographic characteristics. …”
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Data security and protection techniques in big data:a survey by Kai-min WEI, Jian WENG, Kui REN

“…Big Data has attracted tremendous attention from all over the world nowadays.Its sheer volume,complex structure and realtime processing requirements often obsolete traditional technologies when coming to provide suffi-cient security protection.To address this challenge,significant research efforts have been carried out by the research community since recent years.Different technical aspects of big data security,including encryption algorithms,data integrity auditing,access control,secure data duplication,assured deletion,and secure search were surveyed,and in-depth discussions on their pros and cons were provided.Various future research directions were also discussed.…”
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Does Proximity to MRT Stations Affect Online Shopping Use? An Analysis Using Data from Japan and New York by Yusei Onuma, Takanori Sakai, Tetsuro Hyodo

“…The other is the 2019 NYC Citywide Mobility Survey data. The results based on Japanese survey data indicate a clear difference in shopping mode choice mechanisms between MRT-dependent neighborhoods and non-MRT-dependent neighborhoods, while such a difference is limited in NYC. …”
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PF-PSS: a double-layer parallel embedded feature selection method for cancer gene expression data by Yu-Wei Song, Jie-Sheng Wang, Yu-Liang Qi, Yu-Cai Wang, Shi Li, Hao-Ming Song, Yi-Peng Shang-Guan

“…To address the issues of feature selection (FS) and cancer subtype diagnosis for cancer gene expression data, a novel FS method with a double-layer parallel embedded structure has been proposed. …”
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Changes in Consumer Food Preferences in EU Countries from 2001-2013 by Grzegorz Koszela, Luiza Ochnio

Subjects: “…dissimilarity of structures…”
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Hilbert-Curve Based Data Aggregation Scheme to Enforce Data Privacy and Data Integrity for Wireless Sensor Networks by Yong-Ki Kim, Hyunjo Lee, Min Yoon, Jae-Woo Chang

“…To minimize communication cost, we utilize a tree-based network structure for constructing networks and aggregating data. …”
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Fast report: Coseismic source model of the January 2025 Mw 6.1 Dapu earthquake from geodetic data and its implications for seismogenic structures in Southwestern Taiwan by Yogendra Sharma, Kuo-En Ching, Wu-Lung Chang, He-Chin Chen, Shih-Han Hsiao, Wu-Yu Liao, En-Jui Lee, Ray Y. Chuang, Chien-Liang Chen

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Evaluation of Pavement Structural Number and Resilient Modulus in a Schistose Quartzite/Quartzite Environment using Dynamic Cone Penetration Test Data: Consequence for flexible pavement construction by Olumuyiwa Falowo, A.S. Daramola, W.K. Olabisi

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Relações empíricas entre a estrutura da vegetação e dados do sensor TM/LANDSAT Empirical relationship between vegetation structure and TM/LANDSAT data by Luciano J. de O. Accioly, Admilson Pachêco, Thomaz C. e C. da Costa, Osvaldo F. Lopes, Maria A. J. de Oliveira

“…<br>The use of spectral data to estimate the structural parameters of vegetation has been considered as one of the most important applications of the remote sensing of ecosystems. …”
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LOW AND MEAN RADIATION DOSES IMPACT ON THE CEREBRAL TRACTS STRUCTURE OF THE CHERNOBYL ACCIDENT LIQUIDATORS IN THE REMOTE PERIOD (BASED ON ROUTINE AND DIFFUSION-TENSOR MAGNETIC RESONANCE IMAGING DATA) by I. M. Levashkina, S. S. Aleksanin, S. V. Serebryakova, T. G. Gribanova

“…To evaluate correlation between brain structural damages and radiation exposure level for the Chernobyl nuclear power plant accident liquidators, routine and diffusion tensor magnetic resonance imaging methods are efficient to visualize and evaluate those damages; it is also important to compare magnetic resonance imaging data of liquidators with results, received for people of the same age and the same stage of cerebral vascular disease (the discirculatory encephalopathy of I and II stage), but who did not participate in the Chernobyl accident liquidation and did not suffer from other liquidation factors and radiation catastrophe aftermaths. …”
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CrystalShift: A Versatile Command-Line Tool for Crystallographic Structural Data Analysis, Modification, and Format Conversion Prior to Solid-State DFT Calculations of Organic Crystals by Ilona A. Isupova, Denis A. Rychkov

“…<i>CrystalShift</i> is an open-source computational tool tailored for the analysis, transformation, and conversion of crystallographic data, with a particular emphasis on organic crystal structures. …”
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An appraisal of backscatter removal and refraction calibration models for improving the performance of vision-based mapping and navigation in shallow underwater environments by Fickrie Muhammad, Poerbandono, Harald Sternberg, Eka Djunarsjah, Hasanuddin Z Abidin

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opstool: A Python library for OpenSeesPy analysis automation, streamlined pre- and post-processing, and enhanced data visualization by Yexiang Yan, Yazhou Xie

“…This paper presents opstool, a Python package designed to enhance the pre- and post-processing capabilities of OpenSees and OpenSeesPy. It simplifies structural analysis workflows by automating tasks such as mesh generation, data management, and data visualization. …”
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Estimating Soybean Yields Using Causal Inference and Deep Learning Approaches With Satellite Remote Sensing Data by Fumin Wang, Jiale Li, Dailiang Peng, Qiuxiang Yi, Xiaoyang Zhang, Jueyi Zheng, Siting Chen

“…However, traditional machine learning methods rely on data correlation rather than causality, leading to poor interpretability. …”
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