Dynamic graph structure and spatio-temporal representations in wind power forecasting by Zang Peng, Dong Wenqi, Wang Jing, Fu Jianglong

“…However, due to the stochastic and unstable nature of wind, it poses a real challenge to effectively analyze the correlations among multiple time series data for accurate prediction. In our study, an end-to-end framework called Dynamic Graph structure and Spatio-Temporal representation learning (DSTG) framework is proposed to achieve stable power forecasting by constructing graph data to capture the critical features in the 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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Dual-coding Contrastive Learning Based on the ConvNeXt and ViT Models for Morphological Classification of Galaxies in COSMOS-Web by Shiwei Zhu, Guanwen Fang, Chichun Zhou, Jie Song, Zesen Lin, Yao Dai, Xu Kong

Subjects: “…Galaxy structure…”
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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

“…Abstract This study examines the impact of capital structure on the financial performance of Nigerian oil and gas companies. …”
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Volume-hiding encrypted multi-map scheme based on hierarchical structure by Jing CHEN, Hanxing LI, Kun HE, Meng JIA, Yuqing LI, Ruiying DU

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A Model-Based Substructuring Method for Local Damage Detection of Structure by Eun-Taik Lee, Hee-Chang Eun

“…It is impractical to collect the full set of data in finite element model for investigating the structural performance. …”
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A Minimalist Analysis of the Subjunctive Mood in the Clausal Structure of Central Kurdish by Azad Hasan Fatah, Rawand Anwar Mahmood

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Uncovering intention behind the translation of headlines: a thematic structure analysis by Ninuk Sholikhah Akhiroh, Mangatur Nababan, Riyadi Santosa, Djatmika

“…Using a qualitative method, the data was analyzed using Hallidayan concept of Thematic Structure, and Stiles’ Levels of Intention, and applied Spradley model of data analysis. …”
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Natural Language Interfaces for Structured Query Generation in IoD Platforms by Anıl Sezgin

“…The results demonstrate that combining retrieval-augmented semantic grounding with structured validation bridges the gap between human intent and complex UAV data access, improving usability while maintaining a practical level of operational reliability.…”
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Hydrothermal structure of a polythermal glacier in Spitsbergen by measurements and numerical modeling by A. V. Sosnovsky, Yu. Ya. Macheret, A. F. Glazovsky, I. I. Lavrentiev

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Genetic structure of different ethnic populations at the frontotemporal dementia risk loci. by Volodymyr Mavrych, Maryam Alamil, Olena Bolgova, Volodymyr Dvornyk

“…This study aimed to analyze the genetic structure of different ethnic populations at FTD risk loci and provide insights into possible genetic factors underlying the above variation.…”
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Frequency and Structure of Drug Resistance of M. tuberculosis in Pulmonary and Extrapulmonary Tuberculosis by P. K. Yablonskiy, B. I. Vishnevskiy, N. S. Solovyova, V. B. Galkin

“…The objective: to assess changes in the data on drug resistance of M. tuberculosis for 2015-2021 and compare it with data for 2012-2014.Subjects and Methods. …”
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Pac-12 CARE-Affiliated Program: structure, methods and initial results by Kimberly G Harmon, Sourav K Poddar, Adam D Bohr, Matthew B McQueen, Jamshid Ghajar, Doug F Aukerman, Russell Romano, Theresa D Hernández, Niki Konstantinides, David J Petron, Christopher Giza

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Structure and dynamics analysis of brain functional hypernetworks based on the null models by Chen Cheng, Yao Li, Chunyan Wang, Yanli Yang, Hao Guo

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The optimization path of agricultural industry structure and intelligent transformation by deep learning by Xingchen Pan, Jinyu Chen

“…Abstract This study addresses key challenges in optimizing agricultural industry structures and facilitating intelligent transformation through the application of deep learning algorithms and advanced optimization techniques. …”
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Blockchain and smart contracts for secure and transparent salary grade structure management by Ebenezer Essel Mensah, Richard Kwasi Ahiable, Jonah Nud-Worgbah, Kofi Sarpong Adu-Manu

“…This paper presents a novel approach by implementing a permissioned blockchain-based system using Hyperledger Fabric integrated with RSA encryption to address the transparency, trust, and fraud challenges in salary-grade structure management. Unlike existing blockchain payroll applications, this work explicitly targets the salary grade adjustment processes within state institutions, providing a real-world prototype validated with actual agency data. …”
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Guided wave signal‐based sensing and classification for small geological structure by Hongyu Sun, Jiao Song, Shanshan Zhou, Qiang Liu, Xiang Lu, Mingming Qi

“…A non‐negative tensor sparse factorisation (NTSF) algorithm based on tensor analysis is proposed for sensing and classification of Small Geological Structure in coal mines. Utilising this method, advanced detection of geological anomalies hidden in coal seams was achieved. …”
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