Mapping the Intellectual Structure of COVID-19 Scientific Articles in Iran: A Scientometrics Study by Ismael Mostafavi, MotahereSadat Sajadipour, Afsaneh Hazeri

“…Therefore, the current research aims to analyze the scientific metrics and delineate the intellectual structure and concepts of scientific articles authored by Iranian researchers in the field of COVID-19, as indexed in the Web of Science database.Methodology: This research employs text content analysis, utilizing standard techniques from scientometric studies, including co-word analysis and clustering. …”
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Structural damage-driven brain compensation among near-centenarians and centenarians without dementia by Hui Tang, Haichao Zhao, Hao Liu, Jiyang Jiang, Nicole Kochan, Jing Jing, Henry Brodaty, Wei Wen, Perminder S. Sachdev, Tao Liu

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Structural Insights into Bortezomib-Induced Activation of the Caseinolytic Chaperone-Protease System in Mycobacterium tuberculosis by Biao Zhou, Yamin Gao, Heyu Zhao, Banghui Liu, Han Zhang, Cuiting Fang, Hang Yuan, Jingjing Wang, Zimu Li, Yi Zhao, Xiaodong Huang, Xiyue Wang, A. Sofia. F. Oliveira, James Spencer, Adrian J. Mulholland, Steven G. Burston, Jinxing Hu, Ning Su, Xinwen Chen, Jun He, Tianyu Zhang, Xiaoli Xiong

“…Structural and biochemical data indicate that sub-stoichiometric binding by bortezomib to the protease active sites orthosterically activates the MtbClpP1P2 complex. …”
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Stiffeners (Khashkhāshi) in the Design of Iranian Detached Double-Shell Onion Domes: Rethinking the Definition based on the Study of Structural Form by Hadi Safaeipour

“…One of the most innovative structural technologies in Iranian Islamic architecture is the detached double-shell onion dome consisting of the outer shell, inner shell, drum, and usually stiffeners. …”
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Structural Controls on Cu Metallogenesis in the Dehaj Area, Kerman Porphyry Copper Belt, Iran: A Remote Sensing Perspective by G. Mirzababaei, J. Shahabpour, A. Zarasvandi, S. M. Hayatolgheyb

“…Structural analysis of remotely sensed data provides a method of assessing the structural significance of regional metallogenesis in the Dehaj area as the northwestern part of the Kerman porphyry Cu belt. …”
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USING QUANTUM-CHEMICAL PARAMETERS FOR PREDICTING ANTIRADICAL (HO•) ACTIVITY OF RELATED STRUCTURES CONTAINING A CINNAMOIL FRAGMENT. IV. STRUCTURE-ACTIVITY RELATIONSHIP BETWEEN UNSAT... by E. T. Oganesyan, S. S. Shatokhin

“…At the same time, the transition from flavanone to flavone leads to the formation of a conjugated system with the participation of π-electrons of the aromatic system “B”, C-7, C-8 atoms and the carbonyl group, which is commonly called the “main conjugation chain”. These structural changes, namely, the transition from a less oxidized flavanone to a more oxidized flavone, contribute to a decrease in the electron density on C-7 and C-8 atoms, and an increase in the total unsaturation of the molecules in general. …”
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Constructing Efficient Mesh-Based Global Grid Systems with Reduced Distortions by Lakin Wecker, John Hall, Faramarz F. Samavati

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Guest Editorial: Smart cities 2.0: How Artificial Intelligence and Internet of Things are transforming urban living by Zheng‐Yi Chai, Syed Attique Shah, Dirk Draheim, Sufian Hameed, Muhammad Mazhar Ullah Rathore

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Improving Data Cleaning by Learning From Unstructured Textual Data by Rihem Nasfi, Guy de Tre, Antoon Bronselaer

“…Leveraging successful artificial intelligence techniques across various domains, several initiatives have introduced machine learning models to tackle these data-quality related issues. In this paper, we study a novel strategy to enhance data cleaning using a machine learning-based model trained on unstructured data. …”
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Research on computationally generative design of woven braced structure based on fiber composite material in architectural design industry by Peiqi Xu, Yiming Liu, Yafan Zhang, Nianxiong Liu

“…Based on this occurrence, this paper studies the development of a computational generative design system for woven braced structure composed of fiber-reinforced materials. Through experimental data of material performance, the research firstly argues feasibility of employing fiber composite materials to braced structure. …”
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Understanding street-exposure and abuse among street-involved children and youth in Kenya: structural intervention insights from routinely collected program data by Michael Goodman, Kelvin Munene, Nora Gardner, Stanley Gitari

“…Background Street-involved children and youth (SICY) face significant challenges, including structural and social exclusion, and multiple forms of abuse. …”
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Estimating structure of understory bamboo for giant panda habitat by developing an advanced vertical vegetation classification approach using UAS-LiDAR data by Xin Shen, Lin Cao, Yisheng Ma, Nicholas C. Coops, Evan R. Muise, Guibin Wang, Fuliang Cao

“…Although Light Detection and Ranging (LiDAR) technologies have been well established as the effective tool for forest structure assessment, the use of LiDAR to assess understory bamboo in structurally complex natural forests is less well known. …”
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Comparative Analysis of Machine Learning and Deep Learning Models for Individual Tree Structure Segmentation Using Terrestrial LiDAR Point Cloud Data by Sangjin Lee, Woodam Sim, Yongkyu Lee, Jeongmook Park, Jintaek Kang, Jungsoo Lee

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The open sharing operation mechanism of health data in the digital healthcare era: A study based on grounded theory and interpretative structural modeling method by Xinping Huang, Siyuan Zhu, Zheng Lv, Qianwen Zhou, Tianqi Kou

“…Results This study proposes a structured data governance framework, establishing a health data sharing system built upon four core components: top-level guidance, collaborative governance, technological empowerment, and rights protection. …”
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Convergence in key month of phenology-based mangrove species classification using sentinel-2 imagery data: insights from structural and physiological indices by Yangcan Bao, Xiaofeng Lin, Mingming Jia, Zhongyong Xiao, Cuiping Wang, Jiangfu Liao, Yinghui Zhang

“…Results showed that structural and physiological VIs significantly improved classification accuracy by 7–43% compared to the initial accuracy. …”
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Assessing the Robustness of Multispectral Satellite Imagery with LiDAR Topographic Attributes and Ancillary Data to Predict Vertical Structure in a Wet Eucalypt Forest by Bechu K. V. Yadav, Arko Lucieer, Gregory J. Jordan, Susan C. Baker

“…Remote sensing approaches can be cost-effective for estimating forest structural attributes. This study aims to use airborne LiDAR data to assess the robustness of multispectral satellite imagery and topographic attributes derived from DEMs to predict the density of three vegetation layers in a wet eucalypt forest in Tasmania, Australia. …”
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The use of space geophysics data to establish a subsurface structural frameworks map on East Uweinat ring complexes province, Southwestern Desert, Egypt by Yaseen AAMER, Ashraf GHONEIMI, Salah HANAFY, Mohamed H. M. YOUSEF, Sara ZAMZAM

“…A qualitative and quantitative interpretation is used to highlight the subsurface geological picture and structure framework. The integration of these data helps to understand the subsurface structural framework and provide insights into the geological evolution of the region. …”
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Study of the Influence of Alkyl Chain Cation-Solvent Interactions on Water Structure in 1,3-Butanediol-Water Mixture by Apparent Molar Volume Data by R. N. Pathak, Indu Saxena, Archna, Anoop Kumar Mishra

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Welding Image Data Augmentation Method Based on LRGAN Model by Ying Wang, Zhe Dai, Qiang Zhang, Zihao Han

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Unveiling fine-scale spatial structures and amplifying gene expression signals in ultra-large ST slices with HERGAST by Yuqiao Gong, Xin Yuan, Qiong Jiao, Zhangsheng Yu

“…Abstract We propose HERGAST, a system for spatial structure identification and signal amplification in ultra-large-scale and ultra-high-resolution spatial transcriptomics data. …”
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