An Improved Method for Single Tree Trunk Extraction Based on LiDAR Data by Jisheng Xia, Sunjie Ma, Guize Luan, Pinliang Dong, Rong Geng, Fuyan Zou, Junzhou Yin, Zhifang Zhao

“…This study uses three-dimensional (3D) forest test data and point cloud data simulated by the Helios++ V1.3.0 software, and proposes a voxelized trunk extraction algorithm to determine the trunk location and the vertical structure of single tree trunks in forest areas. …”
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The genetic structure and diversity of smallholder dairy cattle in Rwanda by Oluyinka Opoola, Felicien Shumbusho, Innocent Rwamuhizi, Isidore Houaga, David Harvey, David Hambrook, Kellie Watson, Mizeck G. G. Chagunda, Raphael Mrode, Appolinaire Djikeng

“…To assess the genetic structure and diversity of the current population, key analyses for population structure were applied: Principal Component Analysis (PCA), population structure and diversity, admixture analysis, measures of heterozygosity, runs of homozygosity (ROH) and minor allelic frequency (MAF). …”
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A Novel Skeletonization Algorithm for Topologically Complex Structures: Comparative Analysis and Application to Renal Arterial Trees by Katarzyna Heryan, Stefan-Daniel Caliman

“…Accurate skeletonization of complex vascular structures is essential for clinical applications and anatomical research. …”
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Analysis of retirees' knowledge return in the supply chain of Isfahan Refinery with a combined approach of interpretive structural modeling and structural equation modeling by Mehran Ziaeian, Somayeh Ahmadzadeh, Abdolrasoul Yazdi

“…In order to confirm or reject the conceptual model, the structural equation modeling approach and Smart PLS3 software were used. …”
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Decomposing the Sri Lanka Yield Curve Using Principal Component Analysis to Examine the Term Structure of the Interest Rate by K P N Sanjeewa Dayarathne, Uthayasanker Thayasivam

“…Our analysis encompasses data spanning from January 2010 to August 2022. The study applied several PCA variants such as multivariate PCA, Randomized PCA, Incremental PCA, Sparse PCA, Functional PCA, and Kernel PCA on smoothed data. …”
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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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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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Data-Driven Driving State Control for Unmanned Agricultural Logistics Vehicle by Xuesheng Zhou, Jun Zhou

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Railway traffic characterisation data based on weigh-in-motion and machine learning: A case study in PortugalZenodo by Idilson A. Nhamage, Cláudio S. Horas, José A. Campos e Matos, João Poças Martins

Subjects: “…Railway traffic data…”
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Advancing public health through Spatial Data Infrastructures: a review of global practices, governance and policy recommendations by Victor Mayowa Adeleye, Patrick Ashinze, Teslim Okeoyo, Veronica El Nabbout, Emmanuel Chileshe Phiri, Gargi Gautam, Collins Chukwunonso Ezea, Alhazan Amir Adebayo, Halima Ali, Ekemode Oluwadamilola Monsurat

Subjects: “…Spatial Data Structure (SDI)…”
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Crustal Velocity Models Retrieved from Surface Wave Dispersion Data for Gujarat Region, Western Peninsular India by Vishwa Joshi

“…In each cluster, dispersion data were measured station by station which collectively formed a dispersion data file for a nonlinear inversion through Genetic algorithm. …”
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Can Industrial Digitalization Boost a Consumption-Driven Economy? An Empirical Study Based on Provincial Data in China by Hanzi Chen, Yue Liu, Zirui Wang

“…The empirical test results indicate: first, industrial digitalization significantly promotes the development of a consumption-driven economy, mainly reflected in the improvement of economic foundation and consumption levels, but shows no significant effect on improving the consumption structure. Second, mechanism analysis results show that industrial digitalization can promote the development of a consumption-driven economy by fostering innovation and advancing the industrial structure. …”
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Coherence: a new approach for analyzing interrelated serial data by Rebekka Mumm, Detlef Groth, Michael Hermanussen

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Anomaly detection of large scale network based on data streams by ZHENG Jun, HU Ming-zeng, YUN Xiao-chun, ZHENG Zhong

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Anomaly detection of large scale network based on data streams by ZHENG Jun, HU Ming-zeng, YUN Xiao-chun, ZHENG Zhong

Subjects: “…anomaly detection;data streams;large scale network;bursty frequent event;sketch data structure…”
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Advancing plant metabolic research by using large language models to expand databases and extract labeled data by Rachel Knapp, Braidon Johnson, Lucas Busta

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Limit Theorems for Kernel Regression Estimator for Quasi-Associated Functional Censored Time Series Within Single Index Structure by Said Attaoui, Oum Elkheir Benouda, Salim Bouzebda, Ali Laksaci

“…In this paper, we develop kernel-based estimators for regression functions under a functional single-index model, applied to censored time series data. By capitalizing on the single-index structure, we reduce the dimensionality of the covariate-response relationship, thereby preserving the ability to capture intricate dependencies while maintaining a relatively parsimonious form. …”
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Shell Model Reconstruction of Thin-Walled Structures from Point Clouds for Finite Element Modelling of Existing Steel Bridges by Tomoya Nakamizo, Mayuko Nishio

“…There are some studies that show finite element (FE) models from point cloud data. While most of those approaches focus on modelling by solid elements, modelling of some civil structures, such as bridges, requires various uses of beam and shell elements. …”
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ItemComplex: A Python-based visualization framework for ex-post organization and integration of large language-based datasets by Karina Janson, Karl Gottfried, Olaf Reis, Johannes Kornhuber, Anna Eichler, Michael Deuschle, Tobias Banaschewski, Frauke Nees, IMAC-Mind Consortium

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Aggregated Housing Price Predictions with No Information About Structural Attributes—Hedonic Models: Linear Regression and a Machine Learning Approach by Joanna Jaroszewicz, Hubert Horynek

“…A number of studies have shown that, in hedonic models, the structural attributes of real property have a greater influence on price than external attributes related to location and the immediate neighbourhood. …”
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