Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…This research employs agent-based models (ABM) to simulate spatial information and explore the spatial function distribution of planned sites under urban spatial function penetration, thereby guiding the structural morphology of scheduled sites.MethodsThis research adopts a spatial network analysis design method using slime mold intelligence based on mapping point of interest (POI) data. …”
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Research on Coal Structure Prediction Method Based on Genetic Algorithm–BP Neural Network by Cunwu Wang, Xiaobo Peng, Gang Han, Yan Zhao, Yihao Zhu, Ming Zhao

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Comparison of the capability and performance of “photosynthesis” and “structure” indices in retrieving vegetation phenology in the Northern Hemisphere by Bohan Jiang, Wei Chen, Shaoyi Chen, Xiaoyue Wang, Si-Liang Li

“…Focusing on the mid-high latitudes vegetation in the Northern Hemisphere, this study reported the differences in phenology extracted using “photosynthesis” and “structure” indices, specifically solar-induced chlorophyll fluorescence (SIF) and leaf area index (LAI), respectively. …”
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Are characteristics of metropolis matters for structural transformation of provinces: A spatial approach in the case of Vietnam by Truong Cong Bac, Van Tran, Tran Thanh Long

Subjects: “…Provincial structure transformation…”
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Theoretical study of the structures of Schiff base compounds and thermodynamic study of the tautomerism reactions by ab initio calculations by Ali Hossein Kianfar, Roghayeh Hashemi Fath

“…The optimized molecular geometry and atomic charges were calculated using MP2 method with 6-31G(d) basis set and compared with the reported X-ray data. Nickel and copper complexes have a planar structure while the zinc structure shows a distorted square-planar N2O2 coordination geometry. …”
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STUDENTS’ ABILITY IN TRANSFORMING A SENTENCE: DEEP AND SURFACE STRUCTURE by Nina Afrida, Khairurrahmi

“… The present study aims at exploring students’ difficulties in determining deep and surface structure in sentences. The study used quantitative descriptive as a research design. …”
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Linearity of Structure Kernels in Main-sequence and Subgiant Solar-like Oscillators by Lynn Buchele, Earl P. Bellinger, Saskia Hekker, Sarbani Basu

“…With the high-precision frequencies obtained using data from the Kepler mission, it has now become possible to study other solar-like oscillators using structure inversions, including both main-sequence and subgiant stars. …”
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High earnings through firm influence: the role of hierarchical structures in public procurement by Niclas Frederic Sturm, Cristian Candia, Bruno Damásio, Flávio L. Pinheiro

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Connectivity and community structure of online and register-based social networks by Márton Menyhért, Eszter Bokányi, Rense Corten, Eelke M. Heemskerk, Yuliia Kazmina, Frank W. Takes

“…Abstract The dominance of online social media data as a source for large-scale social network studies has recently been challenged by networks constructed from state-curated register data. …”
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Cooperative contributions of structural and functional connectivity to successful memory in aging by Simon W. Davis, Amanda Szymanski, Homa Boms, Thomas Fink, Roberto Cabeza

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Knowledge Error Detection via Textual and Structural Joint Learning by Xiaoyu Wang, Xiang Ao, Fuwei Zhang, Zhao Zhang, Qing He

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Behavioral factors and capital structure: identification and prioritization of influential factors by Ehsan Ahmadi, Parastoo Mohammadi, Farimah Mokhatab Rafei, Shib Sankar Sana

“…Future investigations can be benefited from integrating broader market data, such as share price movements, to further refine insights into the dynamic interplay of behavior and capital structure.…”
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Structural connectome constrained graphical lasso for MEG partial coherence by Anirudh Wodeyar, Ramesh Srinivasan

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Des structures inconciliables ? Cartographie comparée des chartes et des édifices « romans » (Xe –XIIIe siècles) by Nicolas Perreaux

“…This article uses digital mapping, geolocation and data mining to compare these two structures at European level. …”
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Effects of Social Structure on Effective Population Size Change Estimates by Bárbara Ribeiro Parreira, Shyam Gopalakrishnan, Lounès Chikhi

“…The detection, quantification, and dating of demographic changes often rely on the assumption that population structure can be neglected. However, most vertebrates are typically organized in populations subdivided into social groups that are usually ignored in the interpretation of genetic data. …”
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Unveiling the mineral resources and structural patterns in the Middle Benue Trough: a comprehensive exploration using airborne magnetic and radiometric data by Stephen E. Ekwok, Anthony M. George, Asuquo A. Omori, Kamal Abdelrahman, Samuel I. Ugar, Peter Andráš, Morod I. Morphy, Anthony E. Akpan, Ahmed M. Eldosouky

Subjects: “…Magnetic data…”
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The Influence of Profitability, Sales Growth, Asset Structure, and Liquidity on Capital Structure in Food and Beverage Sub-Sector Companies Listed on the Indonesia Stock Exchange 2... by Desi Syafitri, Fauzan Fauzan

“…The sample selection follows purposive sampling criteria, ensuring data completeness and consistency. Capital structure, measured by the Debt to Equity Ratio (DER), serves as the dependent variable, while independent variables include profitability, sales growth, asset structure, and liquidity. …”
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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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Discussing the spectrum of physics-enhanced machine learning: a survey on structural mechanics applications by Marcus Haywood-Alexander, Wei Liu, Kiran Bacsa, Zhilu Lai, Eleni Chatzi

Subjects: “…data-driven…”
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Multi-View Cluster Structure Guided One-Class BLS-Autoencoder for Intrusion Detection by Qifan Yang, Yu-Ang Chen, Yifan Shi

“…Specifically, a multi-view co-association matrix optimization objective function with doubly-stochastic constraints is first designed to capture the cross-view cluster structure. Then, a multi-view cluster structure guided one-class BLS-autoencoder (MOCBLSAEs) is proposed, which learns the discriminative patterns of normal traffic data by preserving the cross-view clustering structure while minimizing the intra-view sample reconstruction errors, thereby enabling the identification of unknown intrusion data. …”
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