Identification of age-specific risk factors for hyperuricemia: a machine learning-driven stratified analysis in health examination cohorts by ChuXia Tan, Yuan Liu, Lijun Li, Ying Li, Pingting Yang, Yinglong Duan, Xingxing Wang, Huiyi Zhang, Jingying Wang, Honglian Zhang

“…This study aims to reveal the risk factors of HUA in healthy physical examination populations of different age groups and construct a machine learning-driven risk prediction model to achieve precise intervention. Methods A cross-sectional study design was adopted. …”
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Enhancing the computational efficiency of the SGWR model and introducing its software implementation by M. Naser Lessani, Zhenlong Li

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Aplikasi Pengolahan Citra Digital Untuk Kebutuhan Absensi Karyawan Dengan Metode Euclidean Distance by Ryan Kamil, Dian Nur Sholihaningtias, Eddy Saputra

“…Aplikasi dibangun menggunakan bahasa pemrograman Python dengan integrasi pustaka OpenCV, InsightFace, dan database Redis. …”
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Digital Migration Infrastructure in return-writing: visualizing the migration landscape of India by Preetha Mukherjee, Nirmala Menon

“…The selected texts, beginning with Amit Chaudhuri’s A New World (2000), Gun Island (2019) by Amitav Ghosh, and Devika Rege’s novel Quarterlife (2023), offer a panoramic view of return migration. …”
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BioVitrina web repository — access to data on bioresource collections by A. S. Bukreeva, K. A. Malsagova, A. A. Izotov, A. V. Lisitsa, A. L. Kaisheva

“…The following set of tools was used: PostgreSQL 12, Python 3.8 scripting language, Django 3.2.7, Angular 12.2.13, Nginx, Docker 3, Redis 6.Results. …”
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Uma estrutura computacional de otimização da simulação baseada em Simulated Annealing para avaliar desempenho de Sistemas Médicos de Emergência by Thaise Regina Matos de Morais, Aloísio de Castro Gomes Júnior, Lasara Fabricia Rodrigues

“…Neste artigo, propomos um modelo de simulação via otimização, desenvolvido em linguagem Python, capaz de avaliar o desempenho de SME’s. Aplicamos ao método proposto, os dados reais de um SME brasileiro e verificamos, a partir dos resultados obtidos, que configurações estratégicas resultariam na redução de aproximadamente 10% no tempo de resposta médio. …”
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Neural ODE-Based Dynamic Modeling and Predictive Control for Power Regulation in Distribution Networks by Libin Wen, Jinji Xi, Hong Hu, Li Xiong, Guangling Lu, Tannan Xiao

“…The validation includes offline tests using the NODE model and online co-simulation studies using CloudPSS and Python via Redis. Application scenarios, including Conservation Voltage Reduction (CVR) and supply–demand balancing, further illustrate the practical potential of the proposed approach for enhancing the operation and efficiency of modern distribution networks.…”
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E-waste recycling in an optimized way for copper recovery by leaching and a case study on E-waste generation and management in Dhaka city by Kaniz Fatema, Md Niamul Hassan, Sanjida Hasan, Hridoy Roy

“…Among these, chemical leaching with aqua regia is widely used but is both highly corrosive and hazardous. …”
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Development of a Novel Automated Workflow in Fiji ImageJ for Batch Analysis of Confocal Imaging Data to Quantify Protein Colocalization Using Manders Coefficient by Vikram Aditya, Vishakha Tambe, Wei Yue

“…This study presents an automated workflow integrating Python-based preprocessing with Fiji ImageJ's BIOP-JACoP plugin to streamline Z-stack refinement and colocalization analysis. …”
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Construction of a Sparse Covariance Matrix Based on Statistical Data Analysis and Its Use in Choosing an Optimal Portfolio of Securities by V. A. Gorelik, T. V. Zolotova

“…The analysis of the methods used to make investment decisions was carried out and the use of each of them for specific stock market data was justified. …”
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Cloud-based real-time enhancement for disease prediction using Confluent Cloud, Apache Kafka, feature optimization, and explainable artificial intelligence by Abdulaziz AlMohimeed

“…Python scripts are developed to pipeline streaming data. …”
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Design and Development of a Customer Management System in the Food Industry by Zhekova Mariya, Katrandzhiev Nedyalko, Petkov Mario

“…The article presents the design and customer management system development process using Python, PostgreSQL, and Tkinter in the food industry. …”
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AUTOMATIZACIÓN DEL PROCESO PARA LA GENERACIÓN DE MODELOS 3D A PARTIR DE UNA INTELIGENCIA ARTIFICIAL by Carolina Andrea García Sarmiento, Juan Esteban Infante Andrade, Ricardo Andres Santa Quintero

“…El objetivo del proyecto es describir los pasos para automatizar el proceso de generar modelos 3D, a partir del uso dela inteligencia artificial Point-E, del refinamiento con la aplicación Blender y finalmente la inserción de estos, en la aplicación Unity, donde se realizó un Showroom, esta descripción se realizó después de la investigación de documentación especializada y revisión bibliográfica, donde se encontró que dicha automatización sería posible, si se siguen los pasos para la generación de los Scripts necesarios, en Google Colab mediante el lenguaje de programación Python, dentro de Blender se realiza con el uso de la consola para realizar scripts con Python y en la aplicación Unity creando scripts en el lenguaje C#. …”
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Dynamic Scheduling and Preventive Maintenance in Small-Batch Production: A Flexible Control Approach for Maximising Machine Reliability and Minimising Delays by Alexandra Maierhofer, Sebastian Trojahn, Frank Ryll

“…The model is implemented in Python with Pyomo (Python 3.13.0 and Pyomo Version: 6.8.0) and validated using a scenario. …”
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Use of Artificial Intelligence in the Digital Economy by N. A. Olimov

“…Visualization of results helps to better interpret the obtained dependencies, which can be a useful tool for making informed management decisions and optimizing marketing strategies.…”
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MCDM Optimization-Based Development of a Plus-Energy Microgrid Architecture for University Buildings and Smart Parking by Mahmoud Ouria, Alexandre F. M. Correia, Pedro Moura, Paulo Coimbra, Aníbal T. de Almeida

“…This paper presents a multi-criteria decision-making (MCDM) approach for optimizing a microgrid system to achieve Plus-Energy Building (PEB) performance at the University of Coimbra’s Electrical Engineering Department. …”
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Application of Artificial Intelligence for the Implementation of Mismatch Negativity Potential Algorithms in Industrial Automated Predictive Maintenance Systems by Alexander Yu. Chesalov

“…The paper also presents the program code for the implementation of the basic MMN algorithm in Python language.Practical significance. The results of the study can be used to design industrial automated systems of predictive or prescriptive maintenance, in which accuracy and decision time play an important role.…”
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A clinical study exploring the prediction of microvascular invasion in hepatocellular carcinoma through the use of combined enhanced CT and MRI radiomics. by Jiangfa Li, Wenxiang Song, Jixue Li, Lv Cai, Zhao Jiang, Mengxiao Wei, Boming Nong, Meiyu Lai, Yiyi Jiang, Erbo Zhao, Liping Lei

“…The imaging data of patients, including CT and MRI, were collected and processed using 3D Slicer to delineate the region of interest (ROI) for each tumor. Radiomics features were extracted from CT and MRI of patients using Python. …”
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DATA-DRIVEN WAREHOUSE SITE SELECTION IN BUCHAREST by Marin-Mihail Patru

“…By using free available geo-spatial datasets such as OpenStreetMap, CORINE, DEM and Sentinel as well as GIS tools like QGIS and Python, the system applies MCDA with user-defined weights, budget constraints and continuous upgradation of satellite data. …”
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Assessment of Veterinarians’ Knowledge, Attitudes and Practices on Bovine Mastitis by Necati Esener, Rahmi Canbar, Neffel Kürşat Akbulut, Metehan Kutlu

“…In mastitis diagnosis, the use of tests to isolate the causative agent and promote targeted treatments is crucial for both reducing treatment durations and mitigating the risk of antimicrobial resistance. Achieving these objectives requires not only legislative measures but also investments in improving the necessary infrastructure and support systems.…”
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