Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…The research paves the way for future research and application in urban planning, emphasizing the importance of data-driven, adaptive design processes in creating resilient and livable urban spaces.…”
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An adaptive feedback methodology for determining information content in stable population studies by H. T. Banks, John E. Banks, R. A. Everett, John D. Stark

“…The ideas developed here also have wide application in the health and social sciences where experimental data are often expensive as well as difficult to obtain.…”
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Large Language Models (LLMs) and Causality Extraction from Text by Wlodek Zadrozny

“…We also address challenges related to data availability and quality, such as varying definitions of causality. …”
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Design and Optimization of Collimator for Preclinical Single-photon Emission Computed Tomography Scanner: A Monte Carlo Study by Mohammad Mirdoraghi, Behnoosh Teimourian Fard, Olga Kochebina, Hojjat Mahani, Mohammad Reza Ay

“…Materials and Methods: The validation of a small animal SPECT scanner equipped with lead hexagonal parallel-hole collimator, CsI (Na) pixelated crystal, and SiPM photodiodes was performed by comparing experimental results with Geant4 application for tomography emission (GATE) simulation data. …”
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Association between adolescent obesity and early adulthood healthcare utilization—a two-cohort prospective study by Emilia Hagman, Vidar Halsteinli, Resthie R. Putri, Christina Hansen Edwards, Gudrun Waaler Bjørnelv, Claude Marcus, Rønnaug A. Ødegård

“…Abstract Background Pediatric obesity is a growing global health challenge, with long-term implications for individuals and healthcare systems. …”
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Mapping the Digital Media Landscape in Bulgaria: Analysis of Web Publications by Plamen Hristov Milev

“…This study explores the thematic structure and editorial focus of the digital media landscape in Bulgaria by analyzing one year of online news publications from eight major media outlets. The data were collected through a custom-built web scraping application developed in Java, which enabled the automated extraction and processing of full-text articles from publicly accessible news websites. …”
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Las nuevas tecnologías en el proceso de enseñanza y aprendizaje. ¿Qué piensan los futuros maestros? / New technologies in the teaching and learning process. What do future teach... by Magdalena López Pérez

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Interactive Analysis and Visualisation of Annotated Collocations in Spanish (AVAnCES) by Simon Gonzalez

“…This has been approached from different angles, but one that has given invaluable outputs is the building of linguistic corpora with the use of online web applications. In this paper, we take a multidimensional approach to the collection, design, and deployment of a phraseology corpus for Latin American Spanish from Twitter data, extracting features using NLP techniques, and presenting it in an interactive online web application. …”
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A model for predicting dropout of higher education students by Anaíle Mendes Rabelo, Luis Enrique Zárate

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Healthcare Analytics Teaching Cases by Concetta A. DePaolo, Milton R. Soto-Ferrari

“…For each case, we provide a detailed background, an in-depth data description, and comprehensive teaching notes. …”
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Harnessing social media analytics for political ecology: Polish digital discourse on waste incinerators by Maciej Kalaska

“…The Polish case shows SMA's ability to tackle PE methodological challenges, including dependence on static datasets, researcher bias, and the complexity of analyzing diverse online data sources. However, its application must be approached critically. …”
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Hybrid machine learning techniques for knowledge extraction in communication networks and advanced decision based complex q-Rung orthopair fuzzy frameworks by Hushuang Zeng, Yonghua Zhang

“…Abstract Hybrid machine learning techniques for knowledge extraction in communication networks combine the strengths of multiple learning algorithms to analyze complex, high-dimensional, and dynamic network data effectively. Some advanced approaches are discussed to improve the intelligence and efficiency of modern communication networks, making them more resilient and capable of meeting the growing demands of data-driven applications. …”
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Fast Islanding Detection for Distribution System including PV using Multi-Model Decision Tree Algorithm by Rasool Ebrahimi, Ghazanfar Shahgholian, Bahador Fani

“…Probable events are simulated under different system operating states to generate classification data set. The pro­po­sed method is tested on typical distribution system including the PV unit, different loads, and synchronous generator. …”
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Museums in Dispute: Artificial Intelligence, Digital Culture, and Critical Curation by Priscila Arantes

“…Methodologically, the article combines critical theoretical review with analysis of institutional and artistic case studies, highlighting practices that appropriate the supposed neutrality of data to develop a critical pesrpective and advocate for more inclusive, distributed, and politically engaged curatorial narratives.…”
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The V4: a Decade after the EU Entry by Eduard Nežinský, Elena Fifeková

“…Non-parametrical part employs an SBM measure of efficiency in Data envelopment analysis as an application of linear programming optimization. …”
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CIRCULAR ECONOMY AND SUSTAINABILITY SUPPORTED BY DIFFERENT INFORMATION TECHNOLOGY MODELS by STEVOVIC IVAN, HADROVIĆ SABAHUDIN, JOVANOVIC MIHAILO

“…Information technologies such as big data analytics, Internet of Things (IoT), blockchain, and artificial intelligence(AI) are examined for their potential to optimize resource management, enhance supply chain transparency, and facilitate the transition towards a circular economy model. …”
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Sales Segmentation Analysis of Tobacco Products Using the K-Means Clustering Method by Yance Sonatha, Aldo Erianda, Redhatul Fitri

“…This study significantly contributes to the application of data mining technology in the tobacco retail sector, despite being limited to a single store and basic variables. …”
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Multi-Maneuvering Target Tracking Based on a Gaussian Process by Ziwen Zhao, Hui Chen

“…Aiming at the uncertainty of target motion and observation models in multi-maneuvering target tracking (MMTT), this study presents an innovative data-driven approach based on a Gaussian process (GP). …”
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Integrating pharmacogenetics, multi‐omics and machine learning in the novel therapeutic view of pulmonary hypertension by Chenxi Li, Jipeng Xue, Dongchen Zhou, Xiaomeng Qi, Ting Chen, Zhoubin Li

“…Furthermore, the gradual widespread application of omics analyses, big data and machine learning is a trend to improve the efficacy of drugs and gene therapy of PH. …”
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Artificial Intelligence in Thoracic Surgery: Transforming Diagnostics, Treatment, and Patient Outcomes by Sara Lopes, Miguel Mascarenhas, João Fonseca, Maria Gabriela O. Fernandes, Adelino F. Leite-Moreira

“…AI-based tools can be employed in medicine, and by extracting useful information from big data, they allow for the early diagnosis of diseases like lung cancer. …”
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