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Showing 2,221 - 2,240 results of 53,088 for search '(((structures OR structure) OR (structures OR structure)) OR structures) data', query time: 0.33s Refine Results
  1. 2221

    Structural Geomorphology and Tectonic Dynamism of the Lolodorf Segment, Nyong Complex, SW Cameroon by Messi Ottou Eric José, Etoundi Akoa Philémon Rémi, Ntieche Benjamin, Ntomba Sylvestre Martial, Evina Aboula Yannick Saturnin, Ndjigui Paul-Désiré

    Published 2025-06-01
    “… The study of the structural geomorphology and tectonic dynamism of the Lokoundjé and Nyong watersheds has made possible to discriminate the essential geological objects of the Lolodorf region (3°10’- 3°25’N, 10°40’- 10°55’E), in Southern Cameroon. …”
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  2. 2222

    Unveiling the Interior Structure and Thermal Evolution of Super-Earth GJ 486b by Chandan K. Sahu, Liton Majumdar, Sudipta Mridha, Harshit Krishna

    Published 2025-01-01
    “…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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  3. 2223

    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

    Published 2021-01-01
    “…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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  4. 2224

    Structural and morphological features of microcrystalline сellulose from industrial hemp hurd by L. O. Barybina, T. V. Tkachenko, O. O. Haidai, V. S. Sokol, B. V. Korinenko, D. S. Kamenskyh, Y. V. Sheludko, V. A. Povazhny, V. A. Bohatyrenko, S. V. Ruban, V. O. Yevdokymenko

    Published 2024-11-01
    “…To obtain microcrystalline cellulose, the hemp hurd was subjected to organo-solvent cooking. The structure and morphology of the MCC were studied using methods such as XRD, XRF, FTIR-ATR, low-temperature nitrogen sorption-desorption, AFM, TGA, and DSC. …”
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  5. 2225
  6. 2226

    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

    Published 2025-05-01
    “…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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  7. 2227

    The arabic version of the fat phobia scale—short form: reliability and structural validity by Hadeel Ghazzawi, Ahmad Alenezi, Sally Souraya, Omar Alhaj, Khaled Trabelsi, Adam Amawi, Mai Helmy, Zahra Saif, Beatrice “Bean” E. Robinson, Haitham Jahrami

    Published 2025-02-01
    “…According to the fit indices, the F-Scale 14 demonstrated a satisfactory level of structural validity in Arab cultures. Fit indices are statistical measures used in confirmatory factor analysis (CFA) to assess how well a proposed model fits the observed data. …”
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  8. 2228

    Structural abnormalities of the cerebellar gray matter and cerebellar peduncles in cervical dystonia patients by Mingjing Qiu, Yongsheng Xiang, Lixi Li, Lizhen Pan, Yunping Song, Liang Feng, Lingjing Jin

    Published 2025-09-01
    “…Between-group differences in gray matter volumes of cerebellar subregions and fiber morphometric properties of the cerebellar peduncles (CP) were investigated using voxel-based, region of interest-based and fixel-based analysis, respectively. The significant structural changes were correlated with clinical data, including disease duration and the first section of TWSTRS. …”
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  9. 2229

    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

    Published 2024-11-01
    “…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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  10. 2230

    Overall Layout Method of Frame Structure Plane Based on Generative Adversarial Network by ZHONG Yan, LEI Xin, LONG Danbing, FANG Changjian, KANG Yongjun

    Published 2025-05-01
    “…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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  11. 2231

    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

    Published 2024-12-01
    “…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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  12. 2232

    Structural Variations Associated with Adaptation and Coat Color in Qinghai‐Tibetan Plateau Cattle by Xiaoting Xia, Fuwen Wang, Xiaoyu Luo, Shuang Li, Yang Lyu, Yining Zheng, Zhijie Ma, Kaixing Qu, Rende Song, Jianyong Liu, Jicai Zhang, Basang Wangdui, Basang Zhuzha, Suolang Quji, Li Zhao, Silang Wangmu, Ciren Luobu, Nima Cangjue, Danzeng Luosang, Suolang Sizhu, Haijian Cheng, Ruizhe Li, Zhipeng Wu, Ruihua Dang, Yongzhen Huang, Xianyong Lan, Luohao Xu, Haifei Hu, WaiYee Low, Zhuqing Zheng, Yu Wang, Yuanpeng Gao, Lu Deng, Johannes A. Lenstra, Jianlin Han, Xueyi Yang, Wenfa Lyu, Bizhi Huang, Chuzhao Lei, Ningbo Chen

    Published 2025-08-01
    “…Abstract Structural variations (SVs) play crucial roles in the evolutionary adaptation of domesticated animals to natural and human‐controlled environments, but SVs have not been explored in Tibetan cattle, which recently migrated and rapidly adapted to the high altitudes of the Qinghai‐Tibetan Plateau (QTP). …”
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  13. 2233

    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

    Published 2025-01-01
    “…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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    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

    Published 2013-01-01
    “…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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  19. 2239

    Comparison of two methods in determining hearing loss type and hearing loss degree: mobile application coded with artificial neural networks and conditional structures by Ahmet Yasin Disci, Ozlem Konukseven, Rukiye Tanisir Disci

    Published 2025-07-01
    “…In this study, it is aimed to distinguish the types and degrees of hearing loss with loops created by codes written using deep learning methods and conditional structures. Method A data set consisting of 1000 pure tone airway and pure tone bone conduction hearing tests performed in the audiology clinic was prepared for this study. …”
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  20. 2240

    Unraveling the cohesin-chromatin interface: identifying protein interactions that modulate chromosome structure and function by Natalie L. Rittenhouse, Riya Gohil, June E. Arricastres, Jill M. Dowen

    Published 2025-06-01
    “…These cohesin interactome data are a resource for future studies aimed at characterizing the functional interactions between cohesin and numerous chromatin-associated proteins in regulating chromosome structure and gene control.…”
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