Functional connectivity of fMRI using differential covariance predicts structural connectivity and behavioral reaction times by Yusi Chen, Qasim Bukhari, Tiger W. Lin, Terrence J. Sejnowski

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NBS-SNI, an extension of the network-based statistic: Abnormal functional connections between important structural actors by Francis Normand, Mehul Gajwani, Daniel C. Côté, Antoine Allard

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Weighting the structural connectome: Exploring its impact on network properties and predicting cognitive performance in the human brain by Hila Gast, Yaniv Assaf

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Barium titanate/polyester resin nanocomposites: Development, structure-properties relationship and energy storage capability by I. A. Asimakopoulos, G. C. Psarras, L. Zoumpoulakis

“…Nanocomposite materials based on two different types of polyester matrix (a commercial type and a laboratory produced one) with embedded barium titanate nano-particles were developed and characterized. Structural and morphological characteristics of the produced composite specimens were studied via X-ray diffraction, Fourier transformation infra red spectroscopy, and scanning electron microscopy. …”
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Selection and Application of the Data Transfer Operating Protocol Software Architecture for the Software-Defined Radio by Oleg V. Vorobyov, Alexey I. Rybakov

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Architectural Framework for An Integrated E-Demographic System Based on Browser-Server Structure: The Case of Nigeria by Zia-Ul-Rahman Abubakar

“…This research paper proposes architectural framework for an integrated e-demographic system (IEDS) based on browser-server (B/S) structure to improve data accessibility, availability, security, and scalability. …”
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Structure-guided decoupled contrastive framework for partial multi-view incomplete multi-label classification by Linqian Yang, Tao Zhuang, Xing Jin, Tianyang Cao, Xiyin Wu

“…Although existing methods have attempted to address this issue, they struggle to fully exploit the consistency and complementarity of multi-view multi-label data simultaneously. To overcome this limitation, we propose a novel structure-guided decoupled contrastive framework (SGDC). …”
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Research on Internal Structure and Mechanism of Landslide Based on Hydrogeophysical Investigation (Quan’an Landslide, Southwest China) by Xiangpeng Wang, Xuben Wang, Kunpeng Wang, Wei Luo, Junqiu Xiao, Jin Hu, Depan Hu

“…The smoothness constrained least square method and three-dimensional unstructured grid method are used to interpret the ERT data, analyze the abnormal patterns of electrical structure of landslide in different seasons, and correspond well with the GPR data. …”
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Moral Values in the Fable "An-Nahlah wan-Namlah" by Ridwan Syukri: An Actantial and Functional Structure Study by Muhammad Riyadi Nugraha, Muhammad Hasyim, Abdul Muntaqim Al Anshory

“…Since narrative in storytelling is critical, this study aims to dissect the potential and functional structure in narratological studies and explore the moral values in the fabled story Al-Nahlah wa An-Namlah by Ridwan Syukri. …”
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Dataset of benthic foraminiferal community structure from sediment eDNA of Sundarbans mangrove ecosystemNCBI by Arkaprava Mandal, Anwesha Ghosh, Gauraw Kumar, Punyasloke Bhadury

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Gridded Population Structure Datasets for the Indus River Basin under Shared Socioeconomic Pathways 2020–2100 by Barira Haider, Cheng Jing, Buda Su, Muhammad Asad Hussain, Arshad Ashraf, Jinlong Huang, Yanjun Wang, Tong Jiang

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INFLUENCE OF THE MOTOR VEHICLE PARKING STRUCTURE BY FUEL TYPE AND ECOLOGICAL CLASS ON GREENHOUSE GAS EMISSIONS by J. V. Trofimenko, V. A. Ginzburg, V. I. Komkov, V. M. Lytov

“…The results of estimating greenhouse gas (GHG) emissions by a vehicle fleet are described, using the COPERT-4 methodology and the baseline data contained in 1-BDD form, concerning the number of vehicle fleets in Russia and three options for detailing the fleet structure by the fuel type and ecological class in different organizations. …”
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A Novel Hyper-Heuristic Algorithm for Bayesian Network Structure Learning Based on Feature Selection by Yinglong Dang, Xiaoguang Gao, Zidong Wang

“…BN learning includes structure learning and parameter learning, and structure learning is its core. …”
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EU Environmental Law in the Digital Age: A Critical Outlook on the Twin Transition’s Legal Structure by Aude-Solveig Epstein

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Effect of profitability, liquidity, and company size on capital structure: Evidence from Indonesia manufacturing companies by Yohanes Suhardjo, Abdul Karim, Mohamad Sigit Taruna

“…This study aims to see the effect of profitability,liquidity, and company size on the capital structure of the manufacturing companies listed on the Indonesian Stock Exchange in 2018-2020. …”
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An Analysis of Argument Structure of Research Article of English Postgraduate Program of Bengkulu University Published In Journal by Resakti Alamsyah Bermani, Safnil Safnil, Arono Arono

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Modeling of the"thin" structure probability discrepancy distribution in the indications of ADS-B and SSR. Uncompensated latency by I. V. Alipov, V. L. Kuznetsov

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Identifying Polycentric Urban Structure Using the Minimum Cycle Basis of Road Network as Building Blocks by Yuanbiao Li, Tingyu Wang, Yu Zhao, Bo Yang

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Factor structure of the Utrecht Work Engagement Scale in a sample of Danish and Swedish haemodialysis nurses by Maria Lindberg, Kati Knudsen, Magnus Lindberg

“…Conclusions The study findings, evaluated using methods that consider the ordinal nature of the scale ratings, indicate that the UWES-9 is a reliable and valid unidimensional measure with high data completeness, strong internal consistency, and a supported factor structure. …”
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The J-PLUS collaboration. Additive versus multiplicative systematics in surveys of the large scale structure of the Universe by Carlos Hernández-Monteagudo, G. Aricò, J. Chaves-Montero, L. R. Abramo, P. Arnalte-Mur, A. Hernán-Caballero, Francisco José Galindo-Guil, C. López-Sanjuan, V. Marra, R. von Marttens, E. Tempel, J. Cenarro, D. Cristóbal-Hornillos, A. Marín-Franch, M. Moles, J. Varela, H. Vázquez Ramió, J. Alcaniz, R. Dupke, A. Ederoclite, L. Sodré Jr., R. E. Angulo

“…Observational and/or astrophysical systematics modulating the observed number of luminous tracers can constitute a major limitation in the cosmological exploitation of surveys of the large scale structure of the universe. Part of this limitation arises on top of our ignorance on how such systematics actually impact the observed galaxy/quasar fields. …”
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