RE-BPFT: An Improved PBFT Consensus Algorithm for Consortium Blockchain Based on Node Credibility and ID3-Based Classification by Junwen Ding, Xu Wu, Jie Tian, Yuanpeng Li

“…Additionally, we adopt an optimized ID3 decision-tree method for node classification, dynamically identifying high-performing, trustworthy, ordinary, and malicious nodes based on real-time data. …”
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Introducing <tt>ActiveInference.jl</tt>: A Julia Library for Simulation and Parameter Estimation with Active Inference Models by Samuel William Nehrer, Jonathan Ehrenreich Laursen, Conor Heins, Karl Friston, Christoph Mathys, Peter Thestrup Waade

“…To make active inference agents with Partially Observable Markov Decision Process (POMDP) generative models available to the growing research community using Julia, we re-implemented the pymdp library for Python. …”
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Prediction of Corona-Virus Using Deep Learning by Laith Al-Ali

“…The search results show very high accuracy indicated by 91% of Random Forest with estimators = 200 and 91% of the decision tree. the accuracy of an artificial neural network is 85%. …”
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A Machine Learning-Based Computational Methodology for Predicting Acute Respiratory Infections Using Social Media Data by Jose Manuel Ramos-Varela, Juan C. Cuevas-Tello, Daniel E. Noyola

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Anti-Jamming RIS Communications Using DQN-Based Algorithm by Pham Duy Thanh, Hoang Thi Huong Giang, Ic-Pyo Hong

“…Moreover, the performance of RIS communication schemes is verified to be superior to that of without-RIS communication schemes in the jamming context.…”
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RICD: Russian Intensive Care Dataset by A. V. Grechko, M. Y. Yadgarov, A. A. Yakovlev, L. B. Berikashvili, A. N. Kuzovlev, P. A. Polyakov, I. V. Kuznetsov, V. V. Likhvantsev

“…The FRCCR medical information system and the tools «Asclepius», PL/SQL, Microsoft Office Excel, Power Query M, Microsoft PowerBI, Open data editor, and Python were used for data collection and representation. …”
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Multi-Objective optimization of a cascaded supercritical CO2 brayton cycle with ejector-enhanced transcritical CO2 and flash tank absorption refrigeration cycles by Tausif Elahi Khan, Sakibul Haque Sakib, Nazmus Sakib, Tanvir Hossain, M.Monjurul Ehsan, Yasin Khan

“…For MOO and Multi-Criteria Decision Making (MCDM), the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and TOPSIS methods are used, respectively. …”
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Use of Asset Administration Shell for Monitoring and Control of Industrial Processes in Legacy Systems by Enrik Ramos Lima, Miguel Angel Orellana Postigo, Joao Victor Reis De Oliveira de Sicco, Raimundo Claudio Souza Gomes, Fabio De Sousa Cardoso, Israel Gondres Torne

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Climaterna: A decade of daily data on births, deaths, pollution and climate variables for all municipalities in BrazilREDU by Cristiano Torezzan, Camila Ferreira Soares, Breno Bernard Nicolau de França, Priscila Pereira Coltri, Everton Emanuel Campos de Lima, Alexandre Cândido Xavier, Jaqueline Nichi, Charles M'poca Charles, Negli René Gallardo-Alvarado, Sergio Floquet, Gabriel Moreira Motta, Matheus Alves de Andrade, Mateus Samuel Risso, Malcolm dos Reis Alves Pereira, Guilherme Almussa Leite Torres, Kevin Hyslop, Dimitri de Oliveira Silva, Oluwafunmilola Deborah Awe, Caio Simplicio Arantes, Valter Lacerda de Andrade Júnior, Rodolfo de Carvalho Pacagnella

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A Parallel Support Vector Machine algorithm to identify patterns of pollution in Smart Cities for Metropolitan Zone of Guadalajara by Martha Patricia Martínez Vargas, Elsa Estrada Guzmán, Roció Maciel Arellano

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Trends in Antibiotic Resistance in Uropathogens at Mbarara Regional Referral Hospital (2019&amp;ndash;2024): A Retrospective Study by Bazira J, Pauline Petra N, Nakato CN, Walekhwa AW, Nakazibwe B, Kawuma S

“…Joel Bazira,1 Nalumaga Pauline Petra,1 Constance Nakimuli Nakato,1 Abel W Walekhwa,2,3 Brenda Nakazibwe,3 Simon Kawuma4 1Department of Microbiology, Mbarara University of Science and Technology, Mbarara, Uganda; 2Science, Technology, Innovation Secretariat, Office of the President, Kampala, Uganda; 3IDEMU Mathematical Modeling Unit, Kampala, Uganda; 4Department of Computer Science, Faculty of Science, Mbarara University of Science and Technology, Mbarara, UgandaCorrespondence: Joel Bazira, Email jbazira@must.ac.ugBackground: Urinary tract infections (UTIs) are among the most common bacterial infections globally, with significant morbidity and rising antimicrobial resistance (AMR). This study aimed to investigate the prevalence of uropathogens and their antimicrobial resistance patterns at Mbarara Regional Referral Hospital (MRRH) in Uganda.Methods: A retrospective analysis of 939 urine culture- positive records from January 2019 to December 2024 was conducted. …”
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Morph_CNeT: A new GIS tool to extract morphometric attributes characterising channel network topology of Indian catchments by Saroj Rana, Sagar Rohidas Chavan

“…This study is envisaged to develop an easy-to-use and time efficient Python based GIS code/tool named as Morph_CNeT within ArcGIS framework which provides an algorithmic way to extract the morphometric attributes. …”
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A framework for establishing a distributed, daily-time-step water resources model based on a pre-existing spatially lumped monthly representation: A case study of the Grootdraai Ca... by Sofia Lazar, Andrew Robert Slaughter, Neil Griffin, Oghenekaro Nelson Odume

“…New hydrological insights for the region: An Open-Source, Python Water Resources (Pywr) model of the Grootdraai Catchment, South Africa was developed based on a pre-existing monthly Water Resources Yield Model (WRYM) representation. …”
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Prescription of Antibiotics Among Patients Receiving Oseltamivir with an Influenza Related Diagnosis Over Three Influenza Seasons by Mine Durusu Tanriover, Berivan Bitik, Yusuf Ziya Demiroğlu, Zeynep Gökçe Gayretli Aydın, Selda Hançerli Törün, Hüsnü Pullukçu, Zafer Çalışkan, Kağan Atikeler, Ilksen Batur, Mehtap Tuğba Dokumacı, Esra Koç, Özlem Yörük, Güvenç Koçkaya, Birol Tibet

“…OBJECTIVE: Antimicrobial resistance is one of the global public health threats. …”
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Insights from One of the Largest COVID-19 Cohorts: A Detailed Analysis of Risk Factors, Mortality Predictors, and Vaccine Efficacy in Istanbul by Şiran Keske, Selin Kolsuz, Anı Akpınar, Mahir Kapmaz, Süda Tekin, Bahar Kaçmaz, Yeşim Beşli, Pelin Irkören, Evren Şentürk, Nahit Çakar, Levent Tabak, Veli Oğuzalp Bakır, Mehmet Gönen, Önder Ergönül

“…The extensive follow-up captured detailed disease progression, essential for optimizing regional treatment strategies and improving patient care during ongoing and future pandemics.Using SPSS and Python for data analysis, we identified risk factors for mortality, including hypertension (p=0.003), coronary artery disease (p<0.001), diabetes mellitus (p=0.013), COPD (p<0.001), chronic kidney disease (p<0.001), active hematological malignancy (p<0.001), active solid cancer (p<0.001), and immunosuppressive treatment (p<0.001).We also assessed markers such as IL-6, procalcitonin, C-reactive protein, and the CRP/PCT ratio for predicting mortality. …”
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Leveraging large language models to mimic domain expert labeling in unstructured text-based electronic healthcare records in non-english languages by Izzet Turkalp Akbasli, Ahmet Ziya Birbilen, Ozlem Teksam

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Development and validation of a machine learning model to predict hemostatic intervention in patients with acute upper gastrointestinal bleeding by Kajornvit Raghareutai, Watcharaporn Tanchotsrinon, Onuma Sattayalertyanyong, Uayporn Kaosombatwattana

“…The cleaned data was used for model development and validation in Python. We conducted 80%–20% split sample training and test sets. …”
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Development of an explainable machine learning model for predicting device-related pressure injuries in clinical settings by Yijie Qian, Hongying Pan, Jun Chen, Hongyang Hu, Mei Fang, Chen Huang, Yihong Xu, Yang Gao

“…Methods We enrolled 675 study subjects (225 in the DRPI group and 450 in the non-DRPI group) from a single medical center between January 2019 and December 2020. Python was used to perform classification models, including extreme gradient boosting (XGBoost), random forest (RF), decision tree (DT), Logistic Regression (LR), support vector machine (SVM), and K-Nearest neighbors (KNN). …”
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Exploring the possibilities and limitations of customized large language model to support and improve cervical cancer screening by Viola Angyal, Ádám Bertalan, Péter Domján, Elek Dinya

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Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, E... by Daniel Niguse Mamo, Tesfahun Melese Yilma, Makda Fekadie Tewelgne, Yakub Sebastian, Tilahun Bizuayehu, Mequannent Sharew Melaku, Agmasie Damtew Walle

“…Patients’ data were extracted from the electronic database using a structured checklist and imported into Python version three software for data pre-processing and analysis. …”
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