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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Structural and analytical studies on some complexes of Pd2+ ions with asymmetric -dioximes by Daniela Cîrțînă

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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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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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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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Urban Viaduct Structural Health Monitoring: A Review of Wireless Sensor Approaches by Tianli Wang, Tong Cui, Xin Qi, Xintao Huan

“…In this paper, we review the full-chain methods of employing wireless sensor technology for urban viaduct structural health monitoring. By proposing a general wireless structural health monitoring approach as a framework, we first review the sensor types and wireless transmission technologies, then the data processing and modal identification methods, and finally the damage detection methods. …”
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Investigating heterogeneity across autism, ADHD, and typical development using measures of cortical thickness, surface area, cortical/subcortical volume, and structural covariance by Younes Sadat-Nejad, Younes Sadat-Nejad, Marlee M. Vandewouw, Marlee M. Vandewouw, R. Cardy, J. Lerch, J. Lerch, J. Lerch, M. J. Taylor, M. J. Taylor, A. Iaboni, C. Hammill, B. Syed, J. A. Brian, J. A. Brian, E. Kelley, E. Kelley, E. Kelley, M. Ayub, J. Crosbie, J. Crosbie, R. Schachar, R. Schachar, S. Georgiades, R. Nicolson, E. Anagnostou, E. Anagnostou, A. Kushki, A. Kushki

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Physics-Informed Neural Networks for Structural Mechanics and Construction: Modeling the Deflection of a Single-Span Beam Physics-Informed Neural Networks by F. N. Zakharov, Qian Jie, Xu Yi

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Integrating Large Language Models and Optimization in Semi- Structured Decision Making: Methodology and a Case Study by Gianpaolo Ghiani, Gianluca Solazzo, Gianluca Elia

“…Semi-structured decisions, which fall between highly structured and unstructured decision types, rely on human intuition and experience for the final choice, while using data and analytical models to generate tentative solutions. …”
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A region-structured model for early warning of Plasmodium vivax malaria transmission risk in the Republic of Korea by Boyeon Kim, Jung Ho Kim, Jeehyun Lee, Joon-Sup Yeom

“…This study aimed to address this by designing a region-structured model considering spatial heterogeneity based on regional malaria data from high-risk areas. …”
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A structured dataset of the federalist society’s public engagements [version 1; peer review: 2 approved] by Chad M. Topaz

“…To ensure data integrity, we performed validation, deduplication, and cleaning, resulting in a well-structured, high-quality dataset. …”
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A structured dataset of the federalist society’s public engagements [version 2; peer review: 2 approved] by Chad M. Topaz

“…To ensure data integrity, we performed validation, deduplication, and cleaning, resulting in a well-structured, high-quality dataset. …”
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Optimizing cost-effectiveness in remote objective structured clinical examinations through targeted double scoring methodologies by Zhihui Fu, Yuhong Wu, Lingling Xu, Fen Cai, Ren Liu, Zhehan Jiang

“…The remote Objective Structured Clinical Examination (OSCE) is a cornerstone of medical education, enabling structured and objective assessment of clinical skills, communication, and patient-centered care. …”
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Using Structured Observation and Content Analysis to Explore the Presence of Older People in Public Fora in Developing Countries by Geraldine Nosowska, Kevin McKee, Lena Dahlberg

“…This exploratory study used structured observation and content analysis to examine the presence of older people in public fora and considered the methods’ potential for understanding older people’s social integration and inclusion. …”
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Structured Teaching Programme on Knowledge Regarding Management of Obstructed Labor Among Final Year GNM Students by Noorjan K S, Preethi D’Souza

“…Objectives To assess the pre-existing knowledge prepare and administer the structured teaching program and to assess the effectiveness of structured teaching program by comparing the pre and post-test knowledge scores regarding the management of obstructed labour.Methods The study was conducted at a selected school of nursing and one group pre-test post-test experimental research design was used for the study. …”
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Building competence in systematic reviews and meta-analyses through structured mentorship: An IPS Karnataka chapter initiative by Vijaykumar Harbishettar, Lakshmi Shiva, Swarna B. Nayok, Ravindra Neelakanthappa Munoli

“…Hand-holding structured schedule with rigorous follow-up of the dedicated participating team members was distinct. …”
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Warped matrix-variate Gaussian processes with structured kernels for multi-step-ahead driving behaviour prediction by Seiya Takano, Tomohiko Jimbo

“…This study proposes a novel probabilistic model called the matrix-variate Gaussian process (GP) with structured kernels while focusing on the periodicity. …”
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A comparative analysis of machine learning algorithms with tree-structured parzen estimator for liver disease prediction by Rakibul Islam, Azrin Sultana, MD. Nuruzzaman Tuhin

“…This study proposes a system for predicting the LD by combining the techniques of Machine Learning (ML) algorithms that include the Decision Tree, Random Forest, Extra Tree Classifier (ETC), LightGBM, and Adaboost, with the Tree-Structured Parzen Estimator (TPE) method for hyperparameter tuning. …”
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The community of marine alveolate parasites in the Atlantic inflow to the Arctic Ocean is structured by season, depth, and water mass by Elianne Egge, Daniel Vaulot, Aud Larsen, Bente Edvardsen

“…The community was structured by season, depth, and water mass. In the epipelagic zone, the taxonomic composition varied strongly by season; however, there was also a difference between Arctic and Atlantic water masses in winter. …”
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A Road Friction-Aware Anti-Lock Braking System Based on Model-Structured Neural Networks by Mattia Piccinini, Matteo Zumerle, Johannes Betz, Gastone Pietro Rosati Papini

“…This paper introduces a novel road friction-aware ABS, leveraging model-structured neural networks (MS-NNs) to learn the vehicle longitudinal dynamics in different road conditions. …”
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