Gender prevalence and pattern structure of various online behaviors among adolescents in Abakan by L. S. Evert, S. Yu. Tereshchenko, Yu. R. Kostyuchenko, N. B. Semenova

“…The aim of the study was to research the gender prevalence and pattern structure of various types of online behavior in adolescents from Abakan (Khakassia). …”
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Evaluating the effects of coffee consumption on the structure and function of the heart from multiple perspectives by Xiong-Bin Ma, Yan-Lin Lv, Lin Qian, Jing-Fen Yang, Qian Song, Yong-Ming Liu

“…ObjectiveTo assess the causal relationship between coffee consumption and cardiac structure and function in elderly European populations using multiple genetic methodologies.MethodsLeveraging genome-wide association study (GWAS) data from elderly European populations, we conducted linkage disequilibrium score regression (LDSC), two-step Mendelian randomization (MR), and colocalization analyses to investigate genetic associations, causal relationships, and mediating effects among these factors. …”
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THE PALEOPROTEROZOIC IMANDRA-VARZUGA RIFTING STRUCTURE (KOLA PENINSULA): INTRUSIVE MAGMATISM AND MINERAGENY by V. V. Chashchin, F. P. Mitrofanov

“…The article provides data on the structure of the Paleoproterozoic intercontinental Imandra-Varzuga rifting structure (IVS) and compositions of intrusive formations typical of the early stage of the IVS development and associated mineral resources. …”
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Unveiling the Interior Structure and Thermal Evolution of Super-Earth GJ 486b by Chandan K. Sahu, Liton Majumdar, Sudipta Mridha, Harshit Krishna

“…This study investigates the interior structure, thermal evolution, and atmospheric dynamics of the super-Earth GJ 486b using SERPINT , a 1D self-consistent coupled interior structure and evolution model, aiming to understand the planet’s thermal evolution based on an Earth-like structure. …”
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Internet addiction in adolescents in Central Siberia: analysis of prevalence and structure of consumed content by L. S. Evert, S. Yu. Tereshchenko, O. I. Zaitseva, N. B. Semenova, M. V. Shubina

“…The aim of this study was to investigate the prevalence of Internet addiction (IА) and the structure of consumed content among adolescents in Central Siberia.Materials and methods. …”
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Synergizing population structure, habitat preferences, and ecological drivers for conservation of Cedrus deodara by Syed Waseem Gillani, Mushtaq Ahmad, Muhammad Manzoor, Muhammad Waheed, Andreas Tribsch, Hamayun Shaheen, Abdul Basit Mehmood, Beatrice Ambo Fonge, Abeer Al-Andal

“…The current study analyses the population structure, spatial distribution, environmental factors, and future conservation strategies for Himalayan cedar populations in the Kashmir Himalayas. …”
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Causal Links Between Renal Function and Cardiac Structure, Function, and Disease Risk by Xiaoqin Zhou, Weiqiang Ruan, Lijun Zhao, Ke Lin, Jing Li, Huizhen Liu, Ting Wang, Guiying Zhang

“…This study aimed to determine the causal relationships between genetic susceptibility to impaired renal function and the risk of CVD endpoints, as well as cardiac structure and function detectable by cardiac magnetic resonance imaging (CMR). …”
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Overall Layout Method of Frame Structure Plane Based on Generative Adversarial Network by ZHONG Yan, LEI Xin, LONG Danbing, FANG Changjian, KANG Yongjun

“…The core of this method involves constructing a model for the overall layout of the structural plan, which includes three main stages: constructing datasets, training and evaluating the model, and applying the model.MethodsIn the dataset construction stage, due to the limited number of data samples, and to reduce model training parameters, refine sample features, and improve training outcomes, this paper proposes three information representation methods for architecture, beams, and columns. …”
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Modeling forest canopy structure and developing a stand health index using satellite remote sensing by Pulakesh Das, Parinaz Rahimzadeh-Bajgiran, William Livingston, Cameron D. McIntire, Aaron Bergdahl

“…Biotic and abiotic disturbances modify tree structure and degrade stand health. Accurate geospatial data on stand structure is important for monitoring tree growth, forest health, progression and severity of diseases and pests, and estimating resilience to climate stress. …”
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EPOCHS. XI. The Structure and Morphology of Galaxies in the Epoch of Reionization to z ∼ 12.5 by Lewi Westcott, Christopher J. Conselice, Thomas Harvey, Duncan Austin, Nathan Adams, Fabricio Ferrari, Leonardo Ferreira, James Trussler, Qiong Li, Vadim Rusakov, Qiao Duan, Honor Harris, Caio Goolsby, Thomas J. Broadhurst, Dan Coe, Seth H. Cohen, Simon P. Driver, Jordan C. J. D’Silva, Brenda Frye, Norman A. Grogin, Nimish P. Hathi, Rolf A. Jansen, Anton M. Koekemoer, Madeline A. Marshall, Rafael Ortiz III, Nor Pirzkal, Aaron Robotham, Russell E. Ryan Jr, Jake Summers, Christopher N. A. Willmer, Rogier A. Windhorst, Haojing Yan

“…We present a structural analysis of 520 galaxy candidates at 6.5 < z < 12.5 with a signal-to-noise ratio of >10 σ in the F444W filter taken from the EPOCHS v1 sample, consisting of uniformly reduced deep JWST NIRCam data covering the CEERS, JADES GOODS-S, NGDEEP, SMACS-0723, GLASS, and PEARLS surveys. …”
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On a data model associated with antitrust behaviors by Weiguang Zhou, Guangxin Wang, Jixiao Lu, Hongxin Ruan, Jun Wang, Rui Zhang

Subjects: “…data analysis…”
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Multiple Structural Breaks in Profit Share Rates of Participation Banks in Turkey: Are They Caused by the Recent Global Crises? by Mehmet Levent Erdas

“…I used the monthly data covering the period 1998-2018 for the estimated structural break dates. …”
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A global dataset of tree hydraulic and structural traits imputed from phylogenetic relationships by James Knighton, Pablo Sanchez-Martinez, Leander Anderegg

“…Abstract We present a dataset of plant hydraulic and structural traits imputed for 55,779 tree species based on TRY plant trait dataset observations and phylogenetic relationships. …”
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China’s social fake news database release with brain structural, functional, and behavioural measures by Wanting Chen, Jia Shi, Qinghua He

“…The dataset includes T1 structural, resting-state, and task-based fMRI data from 43 college students, capturing brain activity during tasks involving sharing news and assessing its accuracy. …”
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A Tertiary lymphoid structures-based pathological score predicts survival and recurrence in colorectal Cancer patients by Marion Le Rochais, Marie Morvan, Servane Bouzeloc, Jean-Baptiste Nousbaum, Matthieu Guillard, Pierre Le Noac'h, Soizic Garaud, Arnaud Uguen

“…The immune response within the tumor microenvironment (TME), especially the presence of tertiary lymphoid structures (TLS), plays a critical role in prognosis. …”
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scHiCSRS: a self-representation smoothing method with Gaussian mixture model for imputing single cell Hi-C data by Qing Xie, Wang Meng, Shili Lin

“…Results We propose scHiCSRS, a self-representation smoothing method that improves data quality, and a Gaussian mixture model that identifies structural zeros among observed zeros. scHiCSRS not only takes spatial dependencies of a scHi-C data matrix into account but also borrows information from similar single cells. …”
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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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Knowledge and theme discovery across very large biological data sets using distributed queries: a prototype combining unstructured and structured data. by Uma S Mudunuri, Mohamad Khouja, Stephen Repetski, Girish Venkataraman, Anney Che, Brian T Luke, F Pascal Girard, Robert M Stephens

“…As we move towards personalized medicine, the need to combine unstructured data, such as medical literature, with large amounts of highly structured and high-throughput data such as human variation or expression data from very large cohorts, is especially urgent. …”
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Unraveling the Influence of Structural Complexity, Environmental, and Geographic Factors on Multi‐Trophic Biodiversity in Forested Landscapes by Ayanna St. Rose, Kusum Naithani

“…Here, we introduce a new method to calculate a combined terrain and canopy structural complexity metric using LiDAR data, enabling the prediction of multi‐trophic diversity—a combined diversity metric that integrates diversity across trophic levels. …”
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Comparative analysis of the organelle genomes of seven Rosa species (Rosaceae): insights into structural variation and phylogenetic position by Rongxiang Zhang, Shuwen Liu, Ying Liu, Pei Wei, Niyan Xiang, Yuemei Zhao, Xiaoman Gao, Xiaoman Gao, Yebing Yin, Lijun Qin, Tao Yuan, Tao Yuan

“…The second- and third-generation data for the other five Rosa species were downloaded from the NCBI database. …”
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