Structural Explanation of Urban Tourism Development Challenges in Chaharmahal and Bakhtiari Cities by Arash Fazeli, Nafiseh Marsousi, Mohsen Saghaei

“…Data were analyzed using structural equation modeling with PLS software. …”
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Expression and structural analysis of taste receptor genes in Iberian and Duroc pigs by Cristina Óvilo, Rita Benítez, Yolanda Núñez, Ramón Peiró-Pastor, Fabian García, Eduardo De Mercado, Emilio Gómez-Izquierdo, Juan García-Casco, Clemente López-Bote, María Muñoz

“…Results We performed a gene expression and structural analysis of ten taste receptor genes in Iberian and Duroc pigs. …”
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Multiparity induces persistent myocardial structural, functional and transcriptomic remodelling in mice by Ruth R. Magaye, Bing H. Wang, Hongyi R. Liu, Shanae Bailey, Rithy Nuon, Sabrina Sutano, Michael Nyugen, Helen Kiriazis, Kyah Grigolon, Luchen Shan, William W. H. Ho, Fumihiko Takeuchi, Daniel G. Donner, David M. Kaye

“…We evaluated blood pressure, body composition, gross weight and histologic cardiac structure. Cardiac function was assessed by echocardiography together with transcriptomic analysis of the left ventricular myocardium. …”
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Transcriptional patterns of brain structural abnormalities in CSVD-related cognitive impairment by Haixia Mao, Min Xu, Hui Wang, Hui Wang, Yuankun Liu, Feng Wang, Feng Wang, Qianqian Gao, Songyun Zhao, Lin Ma, Xiaoyun Hu, Xiaoxuan Zhang, Guangjun Xi, Guangjun Xi, Xiangming Fang, Yachen Shi, Yachen Shi

“…However, the molecular and cellular factors making the different brain structural regions more vulnerable to CSVD-related cognitive impairment remain largely unknown.Materials and methodsVoxel-based morphology (VBM) was performed on the structural magnetic resonance imaging data of 46 CSVD-related cognitive impairment and 73 healthy controls to analyze and compare the gray matter volume (GMV) between the 2 groups. …”
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Constraints on the frontal crustal structure of a continental collision from an integrated geophysical research: The central‐western Betic Cordillera (SW Spain) by A. Ruiz‐Constán, A. Pedrera, J. Galindo‐Zaldívar, J. Pous, J. Arzate, F. J. Roldán‐García, C. Marin‐Lechado, F. Anahnah

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Mock Observations: Morphological Analysis of Galaxies in TNG100 Simulations by Jun-Yu Gong, Weipeng Lin, Lin Tang, Yanyao Lan

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NMR Data Analysis of Acarbose by LI Yujiang, ZHAO Wei, TAO Le, LU Bohua, ZHENG Guo, ZHANG Haiyan, GUO Xiaohe, ZHAO Tianzeng

“…The molecular structure of acarbose was confirmed, providing a reliable data basis for the safety and quality control of acarbose drugs.…”
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The Information-Structural Status of Adjuncts: A Question-under-Discussion-Based Approach by Lisa Brunetti, Kordula De Kuthy, Arndt Riester

“…In this paper we present an analysis of the information structural properties of different types of verb and sentence modifying adjuncts under a QUD (question under discussion) approach. …”
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Reconstructing missing data of damaged buildings from post-hurricane reconnaissance data using XGBoost by Hyunje Yang, Jun-Whan Lee, Steven Klepac, Armando Ulises Santos Cruz, Arthriya Subgranon, Junfeng Jiao

“…For each region, we analyzed the model’s performance depending on the missing structural features. We also demonstrated the importance of including geospatial, hazard, and damage level data by showing improved performance of XGBoost models compared to those trained only on known structural data. …”
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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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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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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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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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