Epigenomic modifications predict active promoters and gene structure in Toxoplasma gondii. by Mathieu Gissot, Krystyna A Kelly, James W Ajioka, John M Greally, Kami Kim

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WHAT DRIVES CAPITAL STRUCTURE ? EVIDENCE FROM MANUFACTURING FIRMS IN INDONESIA by Mariana Ing Malelak, Myer Melvern, Nicholas Briliant Gunawan

“… This study investigates the impact of profitability, liquidity, growth opportunity, and asset tangibility on the capital structure of manufacturing firms in Indonesia. This study employs the pecking order theory to examine data from 140 manufacturing companies listed on the Indonesia Stock Exchange from 2017 to 2024. …”
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The Relationship Between Structure Profile and Sports Performance of Elite Goalball Players by Sajad Hashemi Meymandi, Hassan Daneshmandi

“…The Shapiro–Wilk test assessed the normality of data distribution. Due to the abnormality of the data distribution, the Spearman correlation coefficient test was used.  …”
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Transformer-based structural connectivity networks for ADHD-related connectivity alterations by Liting Shi, Lei Shi, Zhijun Cui, Chengting Lin, Rui Zhang, Jiayi Zhang, Yechen Zhu, Wei Shi, Jianlin Wang, Yanlong Wang, Dongxing Wang, Haihong Liu, Xin Gao

“…This study aims to explore whether structural connectivity networks derived from MRI can reveal alterations associated with ADHD and support data-driven understanding. …”
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Multiscale structural complexity assessment of coral reefs using underwater photogrammetry. by Erick Barrera-Falcón, Rodolfo Rioja-Nieto, Roberto C Hernández-Landa

“…The wavelet-based method effectively decomposed the DEMs into components representing structural complexity at different scales, with the reconstructed DEMs statistically equivalent to the original data source (p > 0.05). …”
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A model of structural analysis for multi-storey buildings with ETABS software by Dương Hồng Thẩm

“…This paper aims to point out a rigorous procedure of input data and to introduce the main content of structural modeling, with some necessary techniques, which in turn, the results of the analysis could be applied to reality. …”
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Initial Validation of Mobile-Structural Health Monitoring Method Using Smartphones by Yan Yu, Ruicong Han, Xuefeng Zhao, Xingquan Mao, Weitong Hu, Dong Jiao, Mingchu Li, Jinping Ou

“…The structural health monitoring system has made great development nowadays, especially on bridge structures. …”
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New spin structure constraints on hyperfine splitting and proton Zemach radius by David Ruth, Karl Slifer, Jian-Ping Chen, Carl E. Carlson, Franziska Hagelstein, Vladimir Pascalutsa, Alexandre Deur, Sebastian Kuhn, Marco Ripani, Xiaochao Zheng, Ryan Zielinski, Chao Gu

“…Here we present improved results for Δpol driven by new spin structure data, reducing the long-standing tension between theory and experiment and halving the dominating uncertainty in hyperfine splitting calculations.…”
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Intelligent Hybrid SHM-NDT Approach for Structural Assessment of Metal Components by Romaine Byfield, Ahmed Shabaka, Milton Molina Vargas, Ibrahim Tansel

“…Structural health monitoring (SHM) plays a pivotal role in ensuring the integrity and safety of critical infrastructure and mechanical components. …”
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Effect of the Organobentonite Filler on Structure and Properties of Composites Based on Hydroxyethyl Cellulose by Olga V. Alekseeva, Anna N. Rodionova, Nadezhda A. Bagrovskaya, Alexander V. Agafonov, Andrew V. Noskov

“…Hydroxyethyl cellulose (HEC) was filled with organobentonite particles by mechanical dispersion, and produced composite films were researched by the number of methods. New data relating to structure, tensile properties, and antimicrobial activity of HEC/organobentonite composites were obtained. …”
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An Unsupervised Fake News Detection Framework Based on Structural Contrastive Learning by Yajie Guo, Shujuan Ji, Xianwen Fang, Dickson K. W. Chiu, Ning Cao, Hofung Leung

“…To deal with this problem, in this paper, we propose a novel unsupervised fake news detection framework based on structural contrastive learning by combining the propagation structure of news and contrastive learning to achieve unsupervised training. …”
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Myopia and age-related macular degeneration: structural and anatomical changes of the eye by I. B. Alekseev, Ju. A. Nam

“…The former included the patients’ age, best corrected visual acuity (BCVA), computer perimetry data, the axial length, and the thickness of the retina in the central zone. …”
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Protein structural domain-disease association prediction based on heterogeneous networks by Jingpu Zhang, Lianping Deng, Lei Deng

“…Abstract Background Domains can be viewed as portable units of protein structure, folding, function, evolution, and design. …”
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Les déplacements domicile-travail structurent-ils encore les territoires ? by Jean-Marc Zaninetti

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THE UTILIZATION STRUCTURE OF THERMAL WATER WELLS AND ITS UNEXPLOITED CAPACITIES IN HUNGARY by BALÁZS KULCSÁR

“…The calculations performed for the evaluation of data have been based on the ratios and respective utilization areas of the existing wells. …”
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Structural and External Barriers to Pakistan’s Economic Growth: Pathways to Sustainable Development by Naveed Ali, Olivier Karl Butzbach, Habib Ali Katohar, Hassan Imran Afridi

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Polyprenylated acylphloroglucinols from Garcinia species and structural revision of seven analogues by Yong-Ge Fu, Yi-Qi Huang, Zhi-Hong Xu, Xia Liu, Xing-Wei Yang

“…Their structures were elucidated by interpretation of NMR and MS spectroscopic data. …”
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An Axial-Oriented Dual-Layer Indexing Structure for Tunnel Point Clouds by Hongyang Zhang, Qigui Yang, Quan Liu, Yinlong Jin, Gang Ma, Xin Meng

“…A fundamental challenge in tunnel point cloud processing is to efficiently manage massive datasets using appropriate data structures and accurately extract features such as tunnel axes and cross-sections. …”
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Analysis of Population Structure in Hungarian Coldblood Horses Based on Pedigree Information by Brigitta Barsi, János Oláh, János Posta

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Dielectric constant prediction in polymers: A chemical structure based approach by S. Sharifi, S. Bonardd, L.A. Miccio

“…Additionally, we implemented an extension of this approach to also handle SMILES-based polymer representations, allowing approximated predictions for molecular structures without available crystallographic data. …”
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