ENHANCING HEALTH, SAFETY, AND ENVIRONMENT (HSE) IN BUILDING PROJECTS: A COMPREHENSIVE AND COMPARATIVE STUDY by Ameer Shihman, S. Vahid Faghihi, Yaghob Gholipour

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Obsahová analýza / formální obsahová analýza / kvantitativní obsahová analýza by Ilona Dvořáková

“…Content analysis is one of the basic tools used for quantitative treatment of data. …”
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Thematic Analysis of Iranian Medical Library and Information Theses and Dissertations: Applying Text Mining Techniques by Shadi Asadzandi, Atieh Sadat Hosseini Ghahjavarestani

“…With the development of Internet technology, the amount of data has increased astonishingly. …”
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Economic Sanctions and Environmental Consequences in Iran: An Analysis of International Responsibility from the Perspective of International Environmental Law by Sajad Ranjbar Dafchahi, Ali Mashhadi

“…The data utilized includes official domestic and international reports, scientific articles, and an analysis of international environmental law. …”
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Innovation and Risk Avoidance of Smart Library Services Based on Generative Artificial Intelligence by Jia LIU

“…The study occupies an important place in the advancement of knowledge in this area and contributes to the development of sustainable, user-centered library services capable of addressing significant contemporary challenges related to information accessibility and data security. …”
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Structural Obstacles to Energy Transition in Türkiye and Holistic Solution Proposals: A Political, Economic and Social Dimensional Analysis by Muhammed Ernur Akiner

“…The study simultaneously evaluated energy policies’ economic, environmental, and social impacts; quantitative data, qualitative interviews, spatial analysis, and scenario modeling techniques were used together. …”
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Lead-attributable productivity losses in low- and middle-income countries by Bret Ericson, Mary Jean Brown

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Integrated impact of urban mixed land use on TOD ridership: A multi-radius comparative analysis by Xinyue Gu, Siyan Lin, Chengfang Wang

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Environmental Awareness Through Project-Based Learning in Primary Social Science Classrooms in Dhaka: A Qualitative Analysis by Khondokar Sabera Hamid

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Predicting the spatial demand for public charging stations for EVs using multi-source big data: an example from jinan city, china by Qimeng Ren, Ming Sun

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Psychosocial work factors influencing health, safety, well-being and productivity of waste collectors in developing countries: a scoping review by Samuel Maneen, Nkosi Nkosi Botha, Mustapha Amoadu, Edward Wilson Ansah

“…Thorough screening and data extraction were done based on the inclusion criteria to select relevant articles for the review. …”
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Intervention strategy for sustainable waste management systems in developing countries using community of practice by Sunarti ., M. Nuryana, W. Wiryanto, Buyamin ., A. Aswin, C. Permatasari, J.H. Tjakraatmadja

“…The selected papers were fully reviewed and coded using qualitative data analysis software. There were 2 categories to map the content of the studies related to waste management topics, while 2 categories and 7 sub-categories were used to map the content of the selected papers on Community of Practice topic. …”
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Investigating influential factors on railway passenger flow utilizing multi-source data fusion and flow space theory: A case study of the Yangtze River Delta megalopolis, China by Yongqi Deng, Jiaorong Wu, Chengcheng Yu, Jihao Deng, Meiting Tu, Yuqin Wang

“…Employing flow space theory and multi-source data, this study examines the spatial network structure and factors influencing railway passenger flow, which is crucial for rail planning in densely populated megalopolises. …”
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Study on the impact of industrial and commercial capital going to the countryside on non-grain production of cultivated land—based on the provincial panel data of China from 2013 t... by Hongli Yang, Fengjuan Wang

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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

“…These datasets pose challenges due to the complexity of the vascular tree, making it difficult to convert raw <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-CT data into meaningful representations. Without proper reconstruction, skeletonization, and graph representation, raw <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-CT data remains an unstructured point cloud, unsuitable for quantitative analysis. …”
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System analysis and information processing to solve the problem of detecting breakdowns of computer information storage by N. M. Kodatsky, E. A. Revyakina, A. R. Gazizov

“…The study is based on the use of machine learning algorithms to analyze and interpret data obtained from SMART tests. Includes a comprehensive analysis and experimental study. …”
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Urban morphology dataset of Reunion Island based on the local climate zone classification using satellite imagery and GIS dataMendeley Data by Alexandre Lefevre, Bruno Malet-Damour, Fiona Benard, Harry Boyer, Garry Rivière

“…This dataset provides a high-resolution spatial classification of urban morphology on Reunion Island, France, using a 100 m x 100 m grid based on the Local Climate Zone (LCZ) framework. The data were generated through a combination of satellite imagery analysis using the World Urban Database and Access Portal Tools (WUDAPT) method and Geographic Information System (GIS) data integration. …”
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Machine learning analysis of breast cancer treatment protocols and cycle counts: A case study at Mohammed vi hospital, Morocco by Houda AIT BRAHIM, Salah EL-HADAJ, Abdelmoutalib METRANE

“…This paper presents a new study of predicting patients' breast cancer treatment protocol and the corresponding treatment cycle based on machine learning algorithms. The data used were collected at Mohammed VI Hospital in Morocco, and it contains patient information with two targets (protocol and treatment cycle).After preparing the data and testing several machine learning algorithms, two models were developed: The first one, based on Gradient Boosting Classifier algorithm, successfully classified patient treatment protocols with an overall accuracy of 64 % across all categories and an impressive 94 % accuracy for the mode category, widely adopted in the hospital. …”
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Large dataset on Fourier transform near infrared (FT-NIR) spectroscopy of green and roasted specialty coffee: Preprocessed infrared spectra and sensory scores for machine learning-... by Andrés F. Bahamón-Monje, Ever M. Morales-Angulo, Gentil A. Collazos-Escobar, Nelson Gutiérrez-Guzmán

“…The dataset is structured into Excel files, systematically organized by processed samples and their replicates, providing a valuable framework for further analysis, model development, and calibration of multivariate statistical models.…”
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Selective Detection of Formaldehyde and Nitrogen Dioxide Using Innovative Modeling of SnO₂ Surface Response to Pulsed Temperature Profile by Emilie Bialic, Jimmy Leblet, Aymen Sendi, Paul Gersberg, Axel Maupoux, Nicolas Lassabe, Philippe Menini

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