Enhancing construction supply chain Sustainability: The synergistic role of big data analytics and organizational culture using SEM by Amir Mohammad Norouzzadeh, Seyed Pendar Toufighi, Abolfazl Edalatipour, Jan Vang, Mooud Dabaghi Roodsari

Subjects: “…Big data…”
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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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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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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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ON THE TIME AND CONDITIONS OF FORMATION OF THE SHOKSHA QUARTZITE-SANDSTONES OF THE SOUTH ONEGA DEPRESSION BASED ON THE NEW DATA FROM ISOTOPE GEOCHRONOLOGY by N. B. Kuznetsov, S. Yu. Kolodyazhnyi, T. V. Romanyuk, A. V. Strashko, A. S. Baluev, E. N. Terekhov, S. V. Mezhelovskaya, A. S. Dubensky, V. S. Sheshukov

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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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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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Use of Smartphone-Based Experimental Data for the Calibration of Biodynamic Spring-Mass-Damper (SMD) Pedestrian Models by Chiara Bedon, Martina Sciomenta, Alessandro Mazelli

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Coupling and Coordinated Development of Environmental Regulation and the Upgrading of Industrial Structure: Evidence from China’s 10 Major Urban Agglomerations by Xiaozhou Zheng, Renming Liu, Huiping Wang

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UAV photogrammetry for red tide monitoring and geo-localization via onboard GNSS/IMU data by Mengran Yang, Yichen Ma, San Jiang, Cheng Yin, Wei Huang

“…First, a direct geo-localization model has been created, which solely uses onboard sensor data for the 3D coordinate calculation of 2D image targets based on the collinear equation. …”
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Status assessment and management strategy of a large bridge based on massive real time data by Feng Zhou, Zhihao Cui

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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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TSC-IBR: A Variant of Interval-Based Memory Reclamation Using CPU&#x2019;s Time-Stamp Counter by Chen Zhang, Wendong Li, Xinghui Zhu

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Constant-delay enumeration for SLP-compressed documents by Martín Muñoz, Cristian Riveros

Subjects: “…computer science - data structures and algorithms…”
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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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