A structured-illumination reflectance imaging dataset for woody breast assessment of broiler meatZenodo by Yuzhen Lu, Hamed Sardari

“…An image dataset was created to assess WB conditions in broiler breast fillets using structured-illumination reflectance imaging (SIRI) as a non-destructive, objective means for WB assessment. …”
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An open-access lumbosacral spine MRI dataset with enhanced spinal nerve root structure resolution by Jionghui Liu, Wenqi Zhang, Yuxing Zhou, Linhao Xu, Ying-Hua Chu, Fumin Jia

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Spatial parameters for transportation: A multi-modal approach for modelling the urban spatial structure using deep learning and remote sensing by Dorothee Stiller, Michael Wurm, Thomas Stark, Pablo d'Angelo, Karsten Stebner, Stefan Dech, Hannes Taubenböck

Subjects: “…urban spatial structure…”
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2-Amino-4-ferrocenyl-5-oxo-5,6,7,8-tetrahydro-4H-chromene-3-carbonitrile monohydrate by Carren Nyapola, David O. Juma, Sizwe J. Zamisa, Eric M. Njogu, Bernard Omondi

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rac-4,5-trans-Dibromo-9,9-dichloro-cis-bicyclo[6.1.0]nonane by Heiner Detert, Dieter Schollmeyer

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(3Z)-4-Methyl-9-(4-methylbenzenesulfonyl)-N-phenyl-3H,9H-thiopyrano[3,4-b]indol-3-imine by Benjamin Dassonneville, Heiner Detert, Dieter Schollmeyer

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rac-2-{3-[1-(Acetyloxy)ethyl]-2,2-dimethylcyclobutyl}acetic acid by Dieter Schollmeyer, Paul Jirsch, Heiner Detert

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4-Chloro-2-phenyl-2H-chromene-3-carbaldehyde by B. Punithavalli, A. Therasa Alphonsa

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2-{(E)-[(2-Hydroxy-1-phenylethyl)imino]methyl}-4-[(E)-(4-methylphenyl)diazenyl]phenol by Mohammad H. Ati, Basil A. Saleh, Adnan J. M. Al-Fartosy, Gamal A. El-Hiti, Benson M. Kariuki

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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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A Data-Driven Analysis of Electric Vehicle Adoption Barriers in the Philippines: Combining SEM and ANNs by Charmine Sheena R. Saflor, Klint Allen Mariñas, Ma. Janice Gumasing, Jazmin Tangsoc

“…This study investigates the factors influencing the adoption of electric vehicles in the Philippines, focusing on key barriers through an integrated approach using machine learning and structural equation modeling (SEM). Specifically, artificial neural networks (ANNs) and SEM are employed to analyze data from online surveys and the existing literature, identifying the critical obstacles that impact consumer acceptance. …”
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Algorithm of athletes’ fitness structure individual features’ determination with the help of multidimensional analysis (on example of basketball) by Zh.L. Kozina, M. Cieslicka, K. Prusik, R. Muszkieta, I.N. Sobko, O.A. Ryepko, T.A. Bazilyuk, S.B. Polishchuk, A.V. Osiptsov, S.A. Korol

“…In every micro-cycle 30% is assigned for athletes’ individual training: athletes received individual tasks; groups on the base of cluster analysis data were formed, if necessary. Conclusions: when working out individual training programs, development of leading factors in individual factorial structure of athletes’ fitness shall be accented. …”
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The influencing factors of newly employed nurses’ adaptation in Malaysia: a structural equation modelling assessment by Hafidza Baharum, Aniza Ismail, Zainudin Awang, Lisa McKenna, Roszita Ibrahim, Zainah Mohamed, Nor Haty Hassan, Abdul Haniff Mohamad Yahaya

“…Questionnaires were distributed through Google Forms. The data were analysed using covariance-based structural equation modelling. …”
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Building a High-Performance Graph Storage on Top of Tree-Structured Key-Value Stores by Heng Lin, Zhiyong Wang, Shipeng Qi, Xiaowei Zhu, Chuntao Hong, Wenguang Chen, Yingwei Luo

“…The present study focuses on the design and implementation of graph storage layout, with a particular emphasis on tree-structured key-value stores. We also examine different design choices in the graph storage layer and present our findings through the development of TuGraph, a highly efficient single-machine graph database that significantly outperforms well-known Graph DataBase Management System (GDBMS). …”
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FDI and Trade Connectivity in EU: New Evidence from a Non-Linear Panel Smooth Transition VECM by Pavlos Stamatiou, Nikolaos Dritsakis

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Modelling of Correlated Ordinal Responses, by Using Multivariate Skew Probit with Different Types of Variance Covariance Structures by Mohammad Reza Zadkarami, Mohammad Reza ghalani

“…The Schizophrenia Collaborative Study data invokes the proposed MFSN model. The results confirm that the first-order autoregressive (AR(1)) structure substantially enhances the estimation of the parameters. …”
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Advancing public health through Spatial Data Infrastructures: a review of global practices, governance and policy recommendations by Victor Mayowa Adeleye, Patrick Ashinze, Teslim Okeoyo, Veronica El Nabbout, Emmanuel Chileshe Phiri, Gargi Gautam, Collins Chukwunonso Ezea, Alhazan Amir Adebayo, Halima Ali, Ekemode Oluwadamilola Monsurat

Subjects: “…Spatial Data Structure (SDI)…”
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Crustal Velocity Models Retrieved from Surface Wave Dispersion Data for Gujarat Region, Western Peninsular India by Vishwa Joshi

“…The present study will improve our knowledge about the structure of the seismogenic layer of this active intraplate region…”
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Can Industrial Digitalization Boost a Consumption-Driven Economy? An Empirical Study Based on Provincial Data in China by Hanzi Chen, Yue Liu, Zirui Wang

“…The empirical test results indicate: first, industrial digitalization significantly promotes the development of a consumption-driven economy, mainly reflected in the improvement of economic foundation and consumption levels, but shows no significant effect on improving the consumption structure. Second, mechanism analysis results show that industrial digitalization can promote the development of a consumption-driven economy by fostering innovation and advancing the industrial structure. …”
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Multifunctional TPMS-based interpenetrating phase composites: A comprehensive review of structure, properties, piezoelectricity and applications by Kishor B. Shingare, Suhas Alkunte, Baosong Li, Andreas Schiffer, Ian Kinloch, Kin Liao

“…It highlights their pivotal role in advancing technology and addressing contemporary challenges while illuminating the uncharted possibilities presented by TPMS cellular structures in the dynamic landscape of 3D printing.…”
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