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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Stress Performance Evaluation of Shield Machine Cutter Head during Cutting Piles under Masonry Structures by Fei Peng, Shiju Ma, Mingyu Li, Kui Fu

“…In the construction of the metro, the development and operation of large-scale underground space in the city cause the construction of metro tunnels near the original underground structures, and the complex environment for passing structures at close range has increased significantly. …”
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TRANSFORMATION OF COASTAL FAUNAL COMPLEX (TETRAPODA) OF THE LYSY LIMAN LAKE IN THE OPERATION OF HYDRAULIC STRUCTURES IN THE MIDDLE COURSE by R. Gubanov, A. Likhovid

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Segmentation of renal structures based on contrast computed tomography scans using a convolutional neural network by I. М. Chernenkiy, M. M. Chernenkiy, D. N. Fiev, E. S. Sirota

“…Develop a neural network to build 3D models of kidney neoplasms and adjacent structures.   Materials and methods. DICOM data (Digital Imaging and Communications in Medicine standard) from 41 patients with kidney neoplasms were used. …”
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Petrophysical characteristics of carbonate rocks of organogenic structures of late devonian age (Voronezh horizon) in Orenburg region by A. R. Ryazanov

“…The carbonate rocks represented by organogenic structures of the Voronezh horizon (D3vr) at the Volostnovsky, Vostochno-Volostnovsky and Yuzhno-Volostnovsky fields in the northern part of the East-Orenburg oil and gas bearing region of the Volga-Ural oil and gas bearing province are studied.Aim. …”
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Revealing arginine-cysteine and glycine-cysteine NOS linkages by a systematic re-evaluation of protein structures by Sophia Bazzi, Sharareh Sayyad

“…By systematically analyzing over 86,000 high–resolution X-ray protein structures, we uncovered 69 additional NOS bonds, including arginine-NOS-cysteine and glycine-NOS-cysteine. …”
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Modelling of adaptive phase-shifting filter cells with optical control based on multilayer structures of phasechange materials by A.V. Kiselev, V.A. Mikhalevsky, A.A. Nevzorov, A.A. Burtsev, V.V. Ionin, N.N. Eliseev, A.A. Lotin

“…The paper presents the results of modelling the phase shift of a passing optical beam caused by the formation of a layered structure in a controllable cell made of the phase-change material Ge2Sb2Te5 induced by the controlling influence of pulsed laser radiation of short and ultrashort duration. …”
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