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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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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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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3D Visualization Method for Surface Defects of Underwater Structures Based on Acoustic and Optical Combination Measurement by Xiang WANG, Jinchao WANG, Houcheng LIU, Wanpeng SONG, Shuqi LI

“…Finally, a three-dimensional visualization system for surface defects of underwater structures is developed by constructing a texture feature image enhancement algorithm, synchronously utilizing sound and light combination data. …”
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A Refinement Reconstruction Method for Indoor Structures Based on 3D Point Cloud Template Matching by B. Cai, S. Tang, W. Wang, L. Xie, X. Li, R. Guo

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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

“…Bamboo forests are natural habitat for the giant panda which is one of the most vulnerable mammal species. In structurally complex natural forests, bamboos are normally located under the canopy of taller trees, which makes them difficult to be quantified accurately. …”
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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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Seismic Facies Classification of Salt Structures and Sediments in the Northern Gulf of Mexico Using Self-Organizing Maps by Silas Adeoluwa Samuel, Camelia C. Knapp, James H. Knapp

“…SOM Models 1 and 2, which combined geometric, spectral, and amplitude-based attributes, were shown to delineate potential storage reservoirs, gas hydrates, salt structures, associated radial faults, and areas with poor data quality due to the presence of the salt structures more than SOM Models 3 and 4. …”
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GEOMAPLEARN 1.2: detecting structures from geological maps with machine learning – the case of geological folds by D. Oakley, D. Oakley, C. Loiselet, T. Coowar, T. Coowar, V. Labbe, J.-P. Callot

“…<p>The increasing availability of large geological datasets and modern methods of data analysis facilitate a data science approach to geology in which inferences are drawn from geological data using automated methods based on statistics and machine learning. …”
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Iterative Approach to the Area Collapse Algorithm for 2D Geometric Objects Representing Long Engineering Structures by Michał M. Buczek

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Gold Punning: studying multistable meaning structures using a systematically collected set of lexical blends by Daniel Kjellander

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P- and S-Wave Velocity Structures and the Influence of Volcanic Activities in the East Java Area From Seismic Tomography by Syawaldin Ridha, Sukir Maryanto, Agustya A. Martha, Vanisa Syahra, Muhajir Anshori, Pepen Supendi, Sri Widiyantoro, Sri D. Wuryani, Rendi P. Hab Sari

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Design and Verification of a Versatile and Lightweight Radar Platform for High-Resolution Imaging of Glacial Subsurface Structures by Lena Krabbe, Niklas Haberberger, Michael Stelzig, Felix Pfluger, Matthias Braun, Martin Vossiek

“…Ground penetrating radar (GPR) is an effective tool in cryosphere and climate research, as it can provide detailed, non-invasive insights into ice thickness, internal structures, and subglacial conditions. This technology uncovers critical data on glacier dynamics and climate change impacts, enhancing our understanding of past, present, and future environmental shifts. …”
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