Developing a Policy Model to Fight against Administrative Corruption with an Emphasis on the Political System and Human Capital by Mohammad Moeini Far, Hasan Givarian, Mohammad Reza Rabiei Mondajin, Mandan Momeni

“…The method of the present research was qualitative-thematic analysis and applied in terms of purpose. The statistical population of this research consisted of 20 key academic experts and qualitative data approach and semi-structured interviews were used to identify and describe the dimensions, components and indicators. …”
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QAAPT: an interoperable web-based open-source tool for antimicrobial resistance data analysis and visualisation by Mohammad Julhas Sujan, Sanjay Gautam, Ahmed Taha Aboushady, Adam Clark, Sooyoung Kwon, Hea Sun Joh, Marianne Holm, John Stelling, Florian Marks, Florian Marks, Florian Marks, Florian Marks, Nimesh Poudyal

“…We describe the design, development, integration, and implementation of the Quick Analysis of Antimicrobial Patterns and Trends (QAAPT) tool for AMR data analysis and visualisation. …”
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Exploring Alternative Microservice Decompositions using Data-driven Techniques and LLMs by Ana Martínez Saucedo, J. Andres Diaz-Pace, Hernán Astudillo, Guillermo Rodriguez

“…These analytics are wrapped as predefined analysis mechanisms. Furthermore, we introduce a semantic layer based on an LLM, which connects developers' questions about the decompositions with predefined analyses, delivering textual answers and graphical charts. …”
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Data-Driven and Mechanistic Soil Modeling for Precision Fertilization Management in Cotton by Miltiadis Iatrou, Panagiotis Tziachris, Fotis Bilias, Panagiotis Kekelis, Christos Pavlakis, Aphrodite Theofilidou, Ioannis Papadopoulos, Georgios Strouthopoulos, Georgios Giannopoulos, Dimitrios Arampatzis, Evangelos Vergos, Christos Karydas, Dimitris Beslemes, Vassilis Aschonitis

“…This hybrid approach enhances yield prediction by combining data-driven ML techniques with soil process modeling. …”
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Strategies for managing the costs of screening in newborn metabolic disorders: insights from a study in developing countries by Ali Valinejad, Ali Davati, Mohammad Amiri-Ara

“…Subsequently, experts were surveyed to identify and prioritize NMS program cost management strategies using the Delphi method and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Data analysis was conducted using Expert_Choice11 and Excel 2017. …”
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Classification of Russian regions taking into account the structure of informal employment and the level of socio-economic development by E. I. Dubravskaya

“…To identify and evaluate these statistical patterns, based on data from the Federal State Statistics Service in a regional context, a system of statistical indicators has been developed and significant factors of informal employment and socio-economic development have been identified. …”
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Utilizing IoT Sensors and Spatial Data Mining for Analysis of Urban Space Actors’ Behavior in University Campus Space Design by Krzysztof Koszewski, Robert Olszewski, Piotr Pałka, Renata Walczak, Przemysław Korpas, Karolina Dąbrowska-Żółtak, Michał Wyszomirski, Olga Czeranowska-Panufnik, Andrzej Manujło, Urszula Szczepankowska-Bednarek, Joanna Kuźmicz-Kubiś, Anna Szalwa, Krzysztof Ejsmont, Paweł Czernic

“…The data collected and the knowledge gained from its analysis are used to discuss the shape of the campus space. …”
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ML Based Social Media Data Emotion Analyzer and Sentiment Classifier with Enriched Preprocessor by Jayamalini Kothandan, Ponnavaikko Murugesan

“…Sentiment Analysis or opinion mining is NLP's method to computationally identify and categorize user opinions expressed in textual data.  …”
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Development of Land Consolidation Studies in Türkiye (1961-2004) by Safiye Pınar Tunalı

“…This study aims to comprehensively evaluate land consolidation studies carried out in Türkiye between 1961 and 2004. Data from 509 land consolidation and on-farm development services projects carried out in 33 provinces of Türkiye were examined using statistical analysis methods. …”
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Research and Implementation of Power Grid Simulation Data Management Platform by Yana FAN, Guangquan BU, Xianghong TAO, Hongfu WANG, Zhiqiang ZHANG

“…Based on an in-depth analysis of the requirements of large interconnected power grids for simulation data management, the corresponding solutions are proposed. …”
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Review and prospect of floating car data research in transportation by Chi Zhang, Yuming Zhou, Min Zhang, Bo Wang, Yuhan Nie

“…With the advancement of intelligent transportation systems, floating car data (FCD), as a crucial source of transportation information, has garnered increasing attention for its applications and development directions within the context of massive traffic data. …”
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Efficiency and productivity to social welfare: the case of the main forestry-producing micro-regions in Brazil by Jessica Suarez Campoli, Paulo Nocera Alves Junior, Tatiana Kimura Kodama, Marcelo Seido Nagano, Heloisa Lee Burnquist

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Exploring the impact of foreign direct investment on poverty reduction in Latin America: Evidence from panel quantile regression model by Eid Ibrahim Daud, Mousse Abdi Mohamoud, Jama Mohamed, Abdinasir Ali Abdi

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Temporal Heterogeneity in Land Use Effects on Urban Rail Transit Ridership—Case of Beijing, China by Siyang Liu, Jian Rong, Chenjing Zhou, Yacong Gao, Lu Xing

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StatFaRmer: cultivating insights with an advanced R shiny dashboard for digital phenotyping data analysis by Daniil S. Ulyanov, Alana A. Ulyanova, Dmitry Y. Litvinov, Alina A. Kocheshkova, Alexandra Yu. Kroupina, Nadejda M. Syedina, Nadejda M. Syedina, Viktoria S. Voronezhskaya, Viktoria S. Voronezhskaya, Andrey V. Vasilyev, Andrey V. Vasilyev, Gennady I. Karlov, Mikhail G. Divashuk

“…For maximum versatility across phenotypic methods and platforms, it uses data in the form of a set of spreadsheets (XLSX and CSV files). …”
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Multimodal Brain Growth Patterns: Insights from Canonical Correlation Analysis and Deep Canonical Correlation Analysis with Auto-Encoder by Ram Sapkota, Bishal Thapaliya, Bhaskar Ray, Pranav Suresh, Jingyu Liu

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Development of an Importance Scale for Seawater Intake Types Based on Physical Parameters Database by El Masmodi Rim, El Mansouri Bouabid

“…The AHP method, known for its robustness in multi-criteria decision support, allows for choosing the optimal type of seawater intake. The interface, developed through Excel and VBA, transforms complex spatial and analytical data into an accessible decision support tool. …”
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The AI-Driven Transformation in New Materials Manufacturing and the Development of Intelligent Sports by Fang Wang, Shunnan Jiang, Jun Li

“…Additionally, diverse sport-related data require physical devices for collection, analysis, and storage, which can be crucial in athlete selection, performance assessment, strategy planning, and training optimization. …”
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Reliability analysis-based life cycle assessment of railway components using long-term maintenance data by Koochul Ji, Ilyoon Choi, Jongmuk Won

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SNAP Participation and Diet Quality Among American Adults: A Cross-Sectional Analysis of NHANES Data by Sena Karavas

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