Developing a Methodology for Assessing Visual and Environmental Sensitivity for Agrivoltaics Land Suitability Projects: The Case Study of Viterbo Province (Italy) by Ilaria Angelelli, Daniele Codato, Salvatore Eugenio Pappalardo, Massimo De Marchi

“…The methodology employs spatial data, thematic maps, and multi-criteria analysis in open-source GIS software to identify suitable solar belts, map environmental sensitivity through 14 criteria, and assess visual sensitivity based on proximity to landscape elements. …”
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Tablet computers for recording tuberculosis data at a community health centre in King Sabata Dalindyebo Local Municipality, Eastern Cape: a proof of concept report by Don O'Mahony, Graham Wright

“…This study describes the process of developing a tablet computer programme to capture data, and explores nurses’ experiences of using tablets at a community health centre. …”
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Developing practical machine learning survival models to identify high-risk patients for in-hospital mortality following traumatic brain injury by Aref Andishgar, Maziyar Rismani, Sina Bazmi, Zahra Mohammadi, Sedighe Hooshmandi, Behnam Kian, Amin Niakan, Reza Taheri, Hosseinali Khalili, Roohallah Alizadehsani

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A Field data- based method to determine the pressure-burst relationships in urban water distribution networks by Yasaman Taj Abadi, Mohamadreza Jalili Ghazizade, Iman Moslehi

“…Materials and methods: In the present study, using a developed model and Pressure and burst field data analysis in urban water distribution network, the relationship between pressure and burst rate for a district of Tehran has been determined. …”
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The Impact of Team-Based Learning on Anxiety Among Graduate Students in a Data Science Master's Program by Andrea Marques, Maria Anastasiadou, Roberto Henriques

“…Methods/Analysis: The study implemented TBL in a Data Science master's course for one semester, employing both qualitative and quantitative methods. …”
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ASSESSMENT OF CRITICAL BARRIERS TO TENDER PRICE INDICES DEVELOPMENT IN THE GHANAIAN BUILDING INDUSTRY by Ernest KISSI, Theophilus ADJEI-KUMI, Peter AMOAH, Emmanuel BOATENG BANNOR

“…Thus, the aim of the study was to identify the critical barriers to the development of tender price indices. Using the quantitative research method, data were collected from quantity surveyors and then analysed using the mean score and principal component analysis (PCA). …”
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CHANGING STATUS OF GLOBAL COVID-19 OUTBREAK IN THE WORLD AND IN TURKEY AND CLUSTERING ANALYSIS by Elif Kartal, Mehmet Erdal Balaban, Bülent Bayraktar

“…Conclusion: With this study and the application developed; depending on changing status of global COVID-19 outbreakin the world and in Turkey, a dynamic structure has been given to the summary status and analysis results based on the current COVID-19 data of the countries, thus, it has been provided to support fast and proactive decisions.…”
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Determinants of Childbirth Choice in Rural Senegal: Mixed-Methods Analysis Using Data from the Niakhar Demographic Surveillance System by Pape Latyr Faye

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Using location-based social network data for activity intensity analysis: A case study of New York City by Haluk Laman, Shamsunnahar Yasmin, Naveen Eluru

“…To that extent, the current study employs LBSN service-based data for an aggregate-level transportation planning exercise by developing land-use planning models. …”
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SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R by Karunia Eka Lestari, Marsah Rahmawati Utami, Mokhammad Ridwan Yudhanegara

“…In this algorithm, the determination of the standard residual matrix and the principal coordinates is built directly from the contingency table (without calculating a correspondence matrix). The algorithm was developed using R and applied to data on Covid-19 cases in West Java.…”
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Comparative Analysis of Blue Carbon Stock in Coastal Watersheds of Four Major Rivers by Bongseok Jeong, Sunmin Lee, Moung-jin Lee

“…Total carbon storage within watersheds was calculated based on data from field surveys of 21 domestic tidal flats and various tidal flat spatial information datasets (global distribution of tidal flat ecosystems, Subdivision land cover map, 1/25,000 coastal data and 2018 tidal flat data). …”
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Research hotspots and trends in pediatric telemedicine: a CiteSpace-based bibliometric analysis (1978–2025) by Hong Xie, Hong Xie, Hong Xie, Dan Luo, Dan Luo, Dan Luo, Bingyao Kang, Bingyao Kang, Bingyao Kang

“…The findings were aimed at providing an objective, panoramic view to guide future research priorities and clinical practice development in pediatric telemedicine.MethodsA retrospective bibliometric analysis was conducted on publications in the field of telemedicine in pediatrics, covering the time period from 1978 to 2025. …”
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Performance Analysis of a Strong Constraint 4DVar and 4DEnVar on Regional Ionosphere Imaging by Nicholas Ssessanga, Wojciech Jacek Miloch, Lasse Boy Novock Clausen, Daria Kotova

“…Abstract Data assimilation (DA) techniques have recently gained traction in the ionospheric community, particularly at regional operational centers where more precise data are becoming prevalent. …”
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SHOULD LIKERT DATA BE TRANSFORMED USING SUMMATED RATING SCALE? A CONFIRMATORY FACTOR ANALYSIS STUDY ON THE CONTINUOUS LEARNING by Islamiani Safitri

“…This study aims to compare the results of instrument analysis through Confirmatory Factor Analysis (CFA) based on direct data and conversion data. …”
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Economic Drivers of Renewable Energy Growth in the European Union: Evidence from a Panel Data Analysis (2015–2023) by László Török

“…This research used multiple linear regression, β-convergence analysis, and a fixed-effects panel model to process panel data from official Eurostat databases. …”
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Analysis of Regional Spatial Characteristics and Optimization of Tourism Routes Based on Point Cloud Data from Unmanned Aerial Vehicles by Yu Chen, Hui Zhong, Jianglong Yu

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Assessment of sand nourishment dynamics under repeated storm impact supported by machine learning-based analysis of UAV data by Jan Tiede, Joshua Leon Lovell, Christian Jordan, Armin Moghimi, Torsten Schlurmann

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Enhancing Comminution Process Modeling in Mineral Processing: A Conjoint Analysis Approach for Implementing Neural Networks with Limited Data by Carlos Moraga, César A. Astudillo, Rodrigo Estay, Alicia Maranek

“…An alternative to simplifying the complexity of these stages is adopting machine learning (ML) techniques; however, ML often requires a substantial amount of data for effective training and validation. The conjoint analysis methodology was used to develop a procedure for discretizing input variables and reducing the data needed for training neural networks, requiring only 77 different scenarios. …”
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SUSTAINABLE DEVELOPMENT OF CONSTRUCTION CONTRACTORS OF THE REPUBLIC OF MOLDOVA IN THE CONTEXT OF WASTE GENERATION AND PROCESSING by GHEORGHIȚA, Maria, STRATILA, Alina

“…Methods of economic analysis and methods of correlation regression were used as research methods. …”
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Integrative analysis of RNA-Seq data and machine learning approaches to identify Biomarkers for Rhizoctonia solani resistance in sugar beet by Bahman Panahi, Mahdi Hassani, Nahid Hosseinzaeh Gharajeh

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