Two-Dimensional Numerical Analysis on the Double Shear Specimens of Timber-Concrete Composite Structures by Lim Jun En, Mohd Amirul Bin Mohd Snin, Siti Nur Fatimah Ghazali, Mohamad Ikmal Zainal, R. Suryavarman

“… This study investigates the behaviour of screw connections in timber-concrete composite (TCC) structures using two-dimensional finite element modelling with LUSAS software. …”
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Ectopic lymphoid structures support ongoing production of class-switched autoantibodies in rheumatoid synovium. by Frances Humby, Michele Bombardieri, Antonio Manzo, Stephen Kelly, Mark C Blades, Bruce Kirkham, Jo Spencer, Costantino Pitzalis

“…<h4>Background</h4>Follicular structures resembling germinal centres (GCs) that are characterized by follicular dendritic cell (FDC) networks have long been recognized in chronically inflamed tissues in autoimmune diseases, including the synovium of rheumatoid arthritis (RA). …”
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Cross-scale study of heat transfer performance in metal rubber with complex topological structures by Kequan Tang, Liangliang Shen, Linwei Shi, Weidong Yan, Qiang Song, Zhiying Ren

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Laser-based Mass Spectrometry for the Identification of Potential Biomarkers and Habitability Indicators on Polygon Structures by Luca N. Knecht, Salome Gruchola, Charles S. Cockell, Scott M. Perl, Mary Beth Wilhelm, Peter Keresztes Schmidt, Coenraad P. de Koning, Marek Tulej, Nicolas Thomas, Peter Wurz, Andreas Riedo

“…The availability and ability to interpret imaging data from orbit enable an easy targeting of polygon structures, thus improving the selection for a landing site with higher potential to detect biosignatures and reducing mission costs by deploying dedicated instrumentation for in situ analysis.…”
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Formation of tight junction-like structures of zonula occludens 2 in platelet–platelet interaction by Magdolna Nagy, Markus Bender, Natalie S. Poulter, Jeremy A. Pike, Albert Sickmann, Sonja Vondenhoff, Natalia Bielicka, Marc A.M.J. van Zandvoort, Rory R. Koenen, Hugo ten Cate, Xavier Stéphenne, Johan W.M. Heemskerk, Constance C.F.M.J. Baaten

“…In a blood sample from a patient deficient in ZO-2, we observed an increased thrombus stability, suggesting a potential regulation of thrombus stability by these TJ-like structures. Conclusion: Jointly, these data point to the assembly of TJ-like structures of interacting platelets, which enforce platelet adhesion contacts but lower 3-dimensional thrombus stability.…”
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DNA 5mC methylation inhibits the formation of G-quadruplex structures in the genome by Kangkang Niu, Lijun Xiang, Xiaojuan Zhang, Xiaoyu Li, Tingting Yao, Jin Li, Chu Zhang, Junpeng Liu, Yuling Peng, Guanfeng Xu, Hui Xiang, Hao Wang, Qisheng Song, Qili Feng

“…Abstract Background G-quadruplex structures (G4s) have been identified in the genomes of many organisms and have been proven to play significant epigenetic regulatory roles in gene transcription. …”
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Safety Assessment of Tunnel Lining Structure with Underlying Cavities Based on Fuzzy Comprehensive Evaluation in Mudstone Stratum by Yiming Wang, Haoxuan Wang

“… This paper presents a study on the structural safety assessment of tunnel linings with underlying cavities based on a fuzzy comprehensive evaluation model in mudstone stratum. …”
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Graph compression algorithm based on a two-level index structure by Gaochao LI, Ben LI, Yuhai LU, Mengya LIU, Yanbing LIU

“…The demand for the analysis and application of graph data in various fields is increasing day by day.The management of large-scale graph data with complicated structure and high degree of coupling faces two challenges:one is querying speed too slow,the other is space consumption too large.Facing the problems of long query time and large space occupation in graph data management,a two-level index compression algorithm named GComIdx for graph data was proposed.GComIdx algorithm used the ordered Key-Value structure to store the associated nodes and edges as closely as possible,and constructed two-level index and hash node index for efficient attribute query and neighbor query.Furthermore,GComIdx algorithm used a graph data compressed technology to compress the graph data before it directly stored in hard disk,which could effectively reduce the storing space consumption.The experimental results show that GComIdx algorithm can effectively reduce the initialization time of the graph data calculation and the disk space occupancy of the graph data storing,meanwhile,the query time is less than common graph databases and other Key-Value storage solutions.…”
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The comparison of islamic and conventional banking in ownership structure and interest rates in Indonesia by Titin Hartini, Rika Lidyah, Nurfala Safitri

“…This study aims to compare the performance of Islamic and conventional banking in ownership structure and interest rates. In study, the author used quantitative methods that emphasize the analysis of numerical data processed using Stata 16. …”
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A structural biology compatible file format for atomic force microscopy by Yining Jiang, Zhaokun Wang, Simon Scheuring

“…Abstract Cryogenic electron microscopy (cryo-EM), X-ray crystallography, and nuclear magnetic resonance (NMR) contribute structural data that are interchangeable, cross-verifiable, and visualizable on common platforms, making them powerful tools for our understanding of protein structures. …”
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A Few Remarks on the Stochastic Structure of the Unemployment Rate in Poland by Gender by Stanisław Jaworski

“…It appeared that for Polish unemployment data that structure was not as it could have been expected. …”
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Mapping topographic structure in white matter pathways with level set trees. by Brian P Kent, Alessandro Rinaldo, Fang-Cheng Yeh, Timothy Verstynen

“…We show that level set trees can also be generalized to model pseudo-density functions in order to analyze a broader array of data types, including entire fiber streamlines. Finally, resampling methods show the reliability of the level set tree as a descriptive measure of topographic structure, illustrating its potential as a statistical descriptor in brain imaging analysis. …”
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An Ultrafast Optical Imaging System with Anamorphic Transformation Based on STEAM Structure by Guoqing Wang, Yuan Zhou, Rui Min, Fang Zhao, E Du, Xingquan Li, Cong Qiu, Dongrui Xiao, Chao Wang

“…In this paper, we propose an ultrafast optical imaging system with anamorphic transformation (AT) based on the STEAM structure, which has the benefit of data compression and changing group delay-related resolution. …”
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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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Advancing Structural Health Monitoring with Deep Belief Network-Based Classification by Álvaro Presno Vélez, Zulima Fernández Muñiz, Juan Luis Fernández Martínez

“…In recent years, deep learning techniques have emerged as powerful tools for analyzing the complex data generated by SHM systems. This study investigates the use of deep belief networks (DBNs) for classifying structural conditions before and after retrofitting, using both ambient and train-induced acceleration data. …”
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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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