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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Examining The Role of Urban Form In Shaping People's Accessibility to Opportunities: An Exploratory Spatial Data Analysis by Darren Scott, Mark Horner

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Unlocking the Potential of Browser- Based Scientific Data Analysis: A 20-Year Journey of Expertise by Luc Patiny

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Fast, Robust, and Learned Distribution-Based Sorting by Paolo Ferragina, Mattia Odorisio

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Timeseria: An object-oriented time series processing library by Stefano Alberto Russo, Giuliano Taffoni, Luca Bortolussi

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Low-frequency ultrasonic pulse-echo datasets for geometry determination of a reinforced concrete step specimen with embedded polystyrene foam cuboids in non-destructive testingData... by Maria Grohmann, Stefan Maack, Matthias Behrens, Ernst Niederleithinger

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Development of a Large Database of Italian Bridge Bearings: Preliminary Analysis of Collected Data and Typical Defects by Angelo Masi, Giuseppe Santarsiero, Marco Savoia, Enrico Cardillo, Beatrice Belletti, Ruggero Macaluso, Maurizio Orlando, Giovanni Menichini, Giacomo Morano, Giuseppe Carlo Marano, Fabrizio Palmisano, Anna Saetta, Luisa Berto, Maria Rosaria Pecce, Antonio Bilotta, Pier Paolo Rossi, Andrea Floridia, Mauro Sassu, Marco Zucca, Eugenio Chioccarelli, Alberto Meda, Daniele Losanno, Marco Di Prisco, Giorgio Serino, Paolo Riva, Nicola Nisticò, Sergio Lagomarsino, Stefania Degli Abbati, Giuseppe Maddaloni, Gennaro Magliulo, Mattia Calò, Fabio Biondini, Francesca da Porto, Daniele Zonta, Maria Pina Limongelli

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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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Development of a Bayesian Network-based Safety Performance Quantification Model on building construction projects in Korea by Taegeun Song, Kiseok Lee, Yoonseok Shin, Wi Sung Yoo

Subjects: “…unstructured data…”
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The comparison of islamic and conventional banking in ownership structure and interest rates in Indonesia by Titin Hartini, Rika Lidyah, Nurfala Safitri

“…Based on the unstructured data panel, there are 13 Islamic banking and 107 conventional banking, the total banks used as objects are 120 banks with 1110 observations.  …”
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Practical concepts for the use of probabilistic methods in the structural analysis and reassessment of existing bridges - presentation of latest research and implementation by Thomas Braml, Christian Kainz

“…Structure-specific partial safety factors include measured data and can be used for the well-known and in the codes established semi-probabilistic design concept. …”
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Graph compression algorithm based on a two-level index structure by Gaochao LI, Ben LI, Yuhai LU, Mengya LIU, Yanbing LIU

“…The demand for the analysis and application of graph data in various fields is increasing day by day.The management of large-scale graph data with complicated structure and high degree of coupling faces two challenges:one is querying speed too slow,the other is space consumption too large.Facing the problems of long query time and large space occupation in graph data management,a two-level index compression algorithm named GComIdx for graph data was proposed.GComIdx algorithm used the ordered Key-Value structure to store the associated nodes and edges as closely as possible,and constructed two-level index and hash node index for efficient attribute query and neighbor query.Furthermore,GComIdx algorithm used a graph data compressed technology to compress the graph data before it directly stored in hard disk,which could effectively reduce the storing space consumption.The experimental results show that GComIdx algorithm can effectively reduce the initialization time of the graph data calculation and the disk space occupancy of the graph data storing,meanwhile,the query time is less than common graph databases and other Key-Value storage solutions.…”
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A Few Remarks on the Stochastic Structure of the Unemployment Rate in Poland by Gender by Stanisław Jaworski

“…It appeared that for Polish unemployment data that structure was not as it could have been expected. …”
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Mapping topographic structure in white matter pathways with level set trees. by Brian P Kent, Alessandro Rinaldo, Fang-Cheng Yeh, Timothy Verstynen

“…We show that level set trees can also be generalized to model pseudo-density functions in order to analyze a broader array of data types, including entire fiber streamlines. Finally, resampling methods show the reliability of the level set tree as a descriptive measure of topographic structure, illustrating its potential as a statistical descriptor in brain imaging analysis. …”
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An Ultrafast Optical Imaging System with Anamorphic Transformation Based on STEAM Structure by Guoqing Wang, Yuan Zhou, Rui Min, Fang Zhao, E Du, Xingquan Li, Cong Qiu, Dongrui Xiao, Chao Wang

“…In this paper, we propose an ultrafast optical imaging system with anamorphic transformation (AT) based on the STEAM structure, which has the benefit of data compression and changing group delay-related resolution. …”
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Dynamic graph structure and spatio-temporal representations in wind power forecasting by Zang Peng, Dong Wenqi, Wang Jing, Fu Jianglong

“…However, due to the stochastic and unstable nature of wind, it poses a real challenge to effectively analyze the correlations among multiple time series data for accurate prediction. In our study, an end-to-end framework called Dynamic Graph structure and Spatio-Temporal representation learning (DSTG) framework is proposed to achieve stable power forecasting by constructing graph data to capture the critical features in the data. …”
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KARAŞAR, AN ALEVI-BEKTASHI SETTLEMENT IN BEYPAZARI (ADMINISTRATIVE, ECONOMIC AND SOCIAL STRUCTURE) by İsmail Yaşayanlar

“…This study evaluates the economic and social structure of Karaşar, an Alevi-Bektashi settlement, on the basis of data from tahrir, population and temettuat books in the Ottoman Archives. …”
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Bayesian variable selection with graphical structure learning: Applications in integrative genomics. by Suprateek Kundu, Yichen Cheng, Minsuk Shin, Ganiraju Manyam, Bani K Mallick, Veerabhadran Baladandayuthapani

“…This has motivated systematic data-driven approaches to integrate multi-dimensional structured datasets, since cancer development and progression is driven by numerous co-ordinated molecular alterations and the interactions between them. …”
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Dual-coding Contrastive Learning Based on the ConvNeXt and ViT Models for Morphological Classification of Galaxies in COSMOS-Web by Shiwei Zhu, Guanwen Fang, Chichun Zhou, Jie Song, Zesen Lin, Yao Dai, Xu Kong

Subjects: “…Galaxy structure…”
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Using the Size Structure of Populations to Infer Range Dynamics and the Frequency of Recruitment by Jenny Ann Sweatman, J. David Aguirre, Adam N. H. Smith, Libby Liggins

“…Our study demonstrates that size‐structure data can be a valuable resource in understanding range dynamics and recruitment in the absence of time‐series data.…”
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