Installation for the research of galvanomagnetic effects in manganites of lanthanides by K.T. Ermaganbetov, L.V. Chirkova, B.K. Kassenov, R. Kabiden, K.M. Makhanov, A.K. Zeinidenov, E.T. Arinova

“…The research of galvano-magnetic effects plays a defining role in search of new materials as they allow to receive data on fundamental properties of semiconductors. …”
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Civil Structural Health Monitoring and Machine Learning: A Comprehensive Review by Asraar Anjum, Meftah Hrairi, Abdul Aabid, Norfazrina Yatim, Maisarah Ali

“…More robust prediction models may be produced by combining test data collected in the laboratory or field with ML. …”
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Organic materials database: An open-access online database for data mining. by Stanislav S Borysov, R Matthias Geilhufe, Alexander V Balatsky

“…The OMDB web interface allows users to retrieve materials with specified target properties using non-trivial queries about their electronic structure. We illustrate the use of the OMDB and how it can become an organic part of search and prediction of novel functional materials via data mining techniques. …”
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Graph compression algorithm based on a two-level index structure by Gaochao LI, Ben LI, Yuhai LU, Mengya LIU, Yanbing LIU

“…The demand for the analysis and application of graph data in various fields is increasing day by day.The management of large-scale graph data with complicated structure and high degree of coupling faces two challenges:one is querying speed too slow,the other is space consumption too large.Facing the problems of long query time and large space occupation in graph data management,a two-level index compression algorithm named GComIdx for graph data was proposed.GComIdx algorithm used the ordered Key-Value structure to store the associated nodes and edges as closely as possible,and constructed two-level index and hash node index for efficient attribute query and neighbor query.Furthermore,GComIdx algorithm used a graph data compressed technology to compress the graph data before it directly stored in hard disk,which could effectively reduce the storing space consumption.The experimental results show that GComIdx algorithm can effectively reduce the initialization time of the graph data calculation and the disk space occupancy of the graph data storing,meanwhile,the query time is less than common graph databases and other Key-Value storage solutions.…”
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Women's Leadership And Banking Productivity: Mediating Role Of Artificial Intelligence by Muhammad Umar Data, Firmansyah Halim, Alya Dhea Amanda

“…The method used is quantitative, using primary data collected through questionnaires. The data analysis technique used structural equation modeling (SEM) to evaluate the relationship between variables with the help of SmartPLS software version 3.0. …”
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Comparing Static Analysis of Earth Dam Strength with Space Monitoring Data by Salyamova Klara, Tashmatov Komiljon, Nishonov Nematilla, An Ekaterina

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The comparison of islamic and conventional banking in ownership structure and interest rates in Indonesia by Titin Hartini, Rika Lidyah, Nurfala Safitri

“…Based on the unstructured data panel, there are 13 Islamic banking and 107 conventional banking, the total banks used as objects are 120 banks with 1110 observations.  …”
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A structural biology compatible file format for atomic force microscopy by Yining Jiang, Zhaokun Wang, Simon Scheuring

“…Abstract Cryogenic electron microscopy (cryo-EM), X-ray crystallography, and nuclear magnetic resonance (NMR) contribute structural data that are interchangeable, cross-verifiable, and visualizable on common platforms, making them powerful tools for our understanding of protein structures. …”
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A Few Remarks on the Stochastic Structure of the Unemployment Rate in Poland by Gender by Stanisław Jaworski

“…It appeared that for Polish unemployment data that structure was not as it could have been expected. …”
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Mapping topographic structure in white matter pathways with level set trees. by Brian P Kent, Alessandro Rinaldo, Fang-Cheng Yeh, Timothy Verstynen

“…We show that level set trees can also be generalized to model pseudo-density functions in order to analyze a broader array of data types, including entire fiber streamlines. Finally, resampling methods show the reliability of the level set tree as a descriptive measure of topographic structure, illustrating its potential as a statistical descriptor in brain imaging analysis. …”
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An Ultrafast Optical Imaging System with Anamorphic Transformation Based on STEAM Structure by Guoqing Wang, Yuan Zhou, Rui Min, Fang Zhao, E Du, Xingquan Li, Cong Qiu, Dongrui Xiao, Chao Wang

“…In this paper, we propose an ultrafast optical imaging system with anamorphic transformation (AT) based on the STEAM structure, which has the benefit of data compression and changing group delay-related resolution. …”
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Dynamic graph structure and spatio-temporal representations in wind power forecasting by Zang Peng, Dong Wenqi, Wang Jing, Fu Jianglong

“…Specifically, a Graph Structure Learning (GSL) module is introduced to dynamically construct task-related correlation matrices via backpropagation to mitigate the inherent inconsistency and randomness of wind power data. …”
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KARAŞAR, AN ALEVI-BEKTASHI SETTLEMENT IN BEYPAZARI (ADMINISTRATIVE, ECONOMIC AND SOCIAL STRUCTURE) by İsmail Yaşayanlar

“…This study evaluates the economic and social structure of Karaşar, an Alevi-Bektashi settlement, on the basis of data from tahrir, population and temettuat books in the Ottoman Archives. …”
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Bayesian variable selection with graphical structure learning: Applications in integrative genomics. by Suprateek Kundu, Yichen Cheng, Minsuk Shin, Ganiraju Manyam, Bani K Mallick, Veerabhadran Baladandayuthapani

“…This has motivated systematic data-driven approaches to integrate multi-dimensional structured datasets, since cancer development and progression is driven by numerous co-ordinated molecular alterations and the interactions between them. …”
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An Information Quality Framework for Managed Health Care by Crossette-Thambiah G, Berleant D, AbuHalimeh A

“…The goal of this article is to develop and justify an information quality framework for managed healthcare, thereby enabling the sector to better meet its unique information quality challenges.Methods: The information quality framework provided here was designed using other information quality frameworks as exemplars, as well as a qualitative survey involving interviews of twenty industry leaders structured around 17 questions. The responses were analyzed and tabulated to obtain insights into the information quality needs of the managed healthcare domain.Results: The novel framework we present herein encompasses strategies for data integration, standardization and validation, and is followed by a justification section that draws upon existing literature and information quality frameworks in addition to the survey of leaders in the industry.Discussion: Emphasizing objectivity, utility, integrity, and standardization as foundational pillars, the proposed framework provides practical guidelines to empower healthcare organizations in effectively managing information quality within the managed care model.Keywords: data quality, information quality, information quality framework, managed healthcare, managed health care, data management, data governance…”
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Framework and Pathway for the Construction of a Unified Data-Element Market in China by Xiaohong Chen, Canran Xiao, Wenzhi Cao, Weiwei Zhang, Yongmei Liu

“…A multi-layered data-element market structure is constructed, and a targeted framework for China's unified data-element market is proposed, along with key points for building a market ecosystem, transaction platforms, and support systems. …”
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Advancing Structural Health Monitoring with Deep Belief Network-Based Classification by Álvaro Presno Vélez, Zulima Fernández Muñiz, Juan Luis Fernández Martínez

“…These findings confirm that DBNs are a reliable and effective approach for data-driven structural condition assessment in SHM systems.…”
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Using the Size Structure of Populations to Infer Range Dynamics and the Frequency of Recruitment by Jenny Ann Sweatman, J. David Aguirre, Adam N. H. Smith, Libby Liggins

“…Our study demonstrates that size‐structure data can be a valuable resource in understanding range dynamics and recruitment in the absence of time‐series data.…”
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Efficient structure learning of gene regulatory networks with Bayesian active learning by Dániel Sándor, Péter Antal

“…Abstract Background Gene regulatory network modeling is a complex structure learning problem that involves both observational data analysis and experimental interventions. …”
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Impact of capital structure on financial performance of oil and gas firms in Nigeria by Obumneme Renato Anozie, Taiwo Adewale Muritala, Victor Edet Ininm, Nurudeen Salako Yisau

“…Based on the data's availability at the time of the inquiry, the study used an easy sampling strategy to gather secondary data. …”
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