STRENGTH PERFORMANCE OF DIFFERENT MORTARS DOPED USING OLIVE STONES AS LIGHTWEIGHT AGGREGATE


HypGB: High Accuracy GB Classifier for Predicting Heart Disease With HyperOpt HPO Framework and LASSO FS Method

Sieve Early prediction of cardiovascular disease is crucial for medical experts to make informed decisions.Effective diagnosis of heart disease can help prevent heart failure, heart attacks, stroke, and coronary artery disease.This paper aims to build a high-accuracy heart disease prediction system using machine learning.For this purpose, an automa

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Molecular-based detection of the gastrointestinal pathogen Campylobacter ureolyticus in unpasteurized milk samples from two cattle farms in Ireland

Abstract Campylobacter jejuni and coli are collectively regarded as the most prevalent cause of bacterial Cutting Board foodborne illness worldwide.An emerging species, Campylobacter ureolyticus has recently been detected in patients with gastroenteritis, however, the source of this organism has, until now, remained unclear.Herein, we describe the

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Metaheuristic-based optimal energy assessment of hybrid multi-effect evaporator with synergy of solar and wind energy sources

This study emphasizes Umbrellas a multi-pronged approach to improving the energy efficiency of Multi-Effect Evaporator (MEE) in the paper industry.By incorporating traditional Energy-Saving Schemes (ESSs) and innovative renewable energy sources, the study demonstrates significant potential for reducing energy consumption and environmental impact, m

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