Manufacturing cycle prediction using structural equation model toward industrial early warning system simulation: The Indonesian case by Tirta Wisnu Permana, Gatot Yudoko, Eko Agus Prasetio

“…Specifically, it investigates the relationships among CLIs to forecast Indonesia's Manufacturing Cycle (ManC) using Partial Least Squares-Structural Equation Modeling (PLS-SEM).Building on an extensive literature review, the study employs quarterly data spanning from Q1 2010 to Q2 2022, incorporating five constructs representing key economic sectors influencing the manufacturing cycle. …”
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Editorial: Approaches to improve the performance of virtual screening: scoring functions, structural filtration, prediction of physicochemical properties/pharmacological activity by Hélcio Silva Dos Santos, Hélcio Silva Dos Santos, Hélcio Silva Dos Santos, Alexander Veselovsky, Dmitry Nilov

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Exploration of 3D Coal Seam Geological Modeling Visualization and Gas Content Prediction Technology Based on Borehole Data by Xiangfeng Zhao, Tianxuan Hao, Huiyan Feng, Fan Li, Xu Li

“…ABSTRACT The geological structure of coal mines and the precise prediction of coal seam gas content are key factors in creating the transparent working face, and they also represent an important aspect of intelligent coal mining. …”
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Crystallinity Changes in Modified Cellulose Substrates Evidenced by Spectral and X-Ray Diffraction Data by Magdalena-Cristina Stanciu, Fulga Tanasă, Carmen-Alice Teacă

“…Due to their specific methodology, they can be used to analyze not only starting materials and their final products but also intermediates. Data obtained by these methods substantiated the structural changes in cellulose substrates, as well as the alterations that occurred in their supramolecular architectures. …”
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Defining environmentally heterogeneous sites when faced with conservation urgency and scarce in situ data by Tania Garrido-Garduño, Ella Vázquez-Domínguez, Patricia Dávila-Aranda, Rafael Lira-Saade, Maribel Arenas-Navarro, Oswaldo Téllez-Valdés

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Convergence in key month of phenology-based mangrove species classification using sentinel-2 imagery data: insights from structural and physiological indices by Yangcan Bao, Xiaofeng Lin, Mingming Jia, Zhongyong Xiao, Cuiping Wang, Jiangfu Liao, Yinghui Zhang

“…Results showed that structural and physiological VIs significantly improved classification accuracy by 7–43% compared to the initial accuracy. …”
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Conservation of structural brain connectivity in people with multiple sclerosis by Gerard Martí-Juan, Jaume Sastre-Garriga, Angela Vidal-Jordana, Sara Llufriu, Eloy Martinez-Heras, Sergiu Groppa, Gabriel González-Escamilla, Maria A. Rocca, Massimo Filippi, Einar A. Høgestøl, Hanne F. Harbo, Michael A. Foster, Sara Collorone, Ahmed T. Toosy, Menno M. Schoonheim, Eva Strijbis, Giuseppe Pontillo, Maria Petracca, Gustavo Deco, Àlex Rovira, Deborah Pareto

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Sensitivity analysis of human brain structural network construction by Kuang Wei, Matthew Cieslak, Clint Greene, Scott T. Grafton, Jean M. Carlson

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A Sociotechnical Framework for Semantic Biomedical Content Authoring and Publishing by Steve Fonin Mbouadeu, Asim Abbas, Fazel Keshtkar, Iram Wajahat, Syed Ahmad Chan Bukhari

Subjects: “…structured data…”
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STRUCTURE OF SUNDA IN TANGERANG REGENCY AND THE TERRITORY OF USE by Agus Sulaeman

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Methods and Models for Estimating the Maturity of the Innovation Structure by I. A. Brusakova

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Investigation of the Blockchain Structure for Hydroxyapatite-Based Scaffolds by Chernobrovchenko V. S., Dyadyura K. О., Panda A.

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Coding structure of highway engineering information model by LIANG Cai, WANG Changhai

“…Model identification code is the key to the data integration and effective transmission of highway engineering information model from the early stage of design to project construction and operation management, so as to form structured data for integrated management and analysis. …”
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Machine-learning models for Alzheimer’s disease diagnosis using neuroimaging data: survey, reproducibility, and generalizability evaluation by Maryam Akhavan Aghdam, Serdar Bozdag, Fahad Saeed, Alzheimer’s Disease Neuroimaging Initiative

“…To better understand the landscape, we surveyed the major preprocessing, data management, traditional machine-learning (ML), and deep learning (DL) techniques used for diagnosing AD using neuroimaging data such as structural magnetic resonance imaging (sMRI), functional magnetic resonance imaging (fMRI), and positron emission tomography (PET). …”
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Improving Racing Drones Flight Analysis: A Data-Driven Approach Using Motion Capture Systems by Jose M. Castiblanco Quintero, Sergio Garcia-Nieto, Raul Simarro, Dmitry I. Ignatyev

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STRUCTURE OF RHYTHMIC GYMNASTICS TRAININGS CENTER IN BRAZIL by Kizzy Fernandes Antualpa, Roberto Rodrigues Paes

“…Finally, data discussion was done, showing similarities and differences between the training centers assessed, always approaching the discussion of the physical structure of these places, and aiming, at the end of the discussion, to focus on the usefulness of these centers for the growth and development of the sport. …”
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FINDING OF OPTIMAL SUBSET STRUCTURE IN THE KNAPSACK PROBLEM by S. V. Chebakov, L. V. Serebryanaya

“…The implementation of this algorithm allows to define the structure of the optimal subset as a union of certain elements of a Pareto layers group into which a initial data set is divided. …”
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The use of vibration characteristic to update the structure model by Pham Xuan Khang

“… Many authors studied algorithms adjusting the structure model based on modal data. This paper proposes an algorithm to detect the structure model using correlation factors between experimental and theoretical modal data in a damage library. …”
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Structure-based rational design of covalent probes by Matthew Holcomb, Manuel Llanos, Althea Hansel-Harris, Stefano Forli

“…In this review, we discuss the role of structure-based design in the discovery and optimization of covalent probes, with a special emphasis on computational methods to leverage structural data.…”
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NUMERICAL DISCRETISATION OF BUILT STRUCTURES ASSUMPTION AND REALITY by Marc Gutermann, Carsten Schröder

“…However, dealing with real problems, an appropriate numerical discretization of built structures is in many cases a difficult task, since fundamental input data concerning the actual properties of the structure, material and the mechanical boundary condition couldn’t always be met. …”
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