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Rough Sets Hybridization with Mayfly Optimization for Dimensionality Reduction

Computers, Materials & Continua 2022年第10期73卷 1087-1108页

作者： Ahmad Taher Azar mustafa samy elgendy mustafa Abdul Salam Khaled M.Fouad Faculty of Computers and Artificial Intelligence Benha UniversityBenha13518Egypt College of Computer and Information Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Faculty of Computer Studies Arab Open UniversityCairoEgypt Faculty of Information Technology and Computer Science Nile UniversityShikh ZaidEgypt

Big data is a vast amount of structured and unstructured data that must be dealt with on a regular *** reduction is the process of converting a huge set of data into data with tiny dimensions so that equal information may be expressed *** tactics are frequently utilized to improve classification or regression challenges while dealing with machine learning *** achieve dimensionality reduction for huge data sets,this paper offers a hybrid particle swarm optimization-rough set PSO-RS and Mayfly algorithm-rough set MA-RS.A novel hybrid strategy based on the Mayfly algorithm(MA)and the rough set(RS)is proposed in *** performance of the novel hybrid algorithm MA-RS is evaluated by solving six different data sets from the *** simulation results and comparison with common reduction methods demonstrate the proposed MARS algorithm’s capacity to handle a wide range of data ***,the rough set approach,as well as the hybrid optimization techniques PSO-RS and MARS,were applied to deal with the massive data ***-hybrid RS’s method beats other classic dimensionality reduction techniques,according to the experimental results and statistical testing studies.

关键词： Dimensionality reduction metaheuristics optimization algorithm mayfly particle swarm optimizer feature selection

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Solute transport and geochemical modeling of the coastal quaternary aquifer, Delta Dahab Basin, South Sinai, Egypt

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Acta Geochimica 2024年第1期43卷 16-39页

作者： Amira samy mustafa Eissa Seham Shahen Moustafa M.Said Rabab M.Abou-shahaba Division of Water Resources and Arid Land Department of HydrogeochemistryDesert Research CenterCairoEgypt Egypt Desalination Research Center of Excellence Desert Research CenterCairoEgypt Center for Water Supply Studies S&E-Physical&Environmental SciencesTexas A&M University Corpus ChristiCorpus ChristiUSA Department of Chemistry Faculty of Science(Girls)Al-Azhar UniversityYousef Abbas StrNasr CityP.O.Box:11754CairoEgypt

The wadi dahab delta is in a dry, arid coastal zone within Egypt’s south Sinai Peninsula’s eastern portion. The primary water source is the Quaternary coastal alluvial aquifer. The groundwater salinity varies from 890to 8213 mg/L, with a mean value of 3417 mg/L. The dissolved major ions have been used to calculate the seawater mixing index(SWMI) using a linear equation that discriminates the groundwater mostly affected by water–rock interaction(SWMI 1>) and other samples mixed with Seawater(SWMI < 1). The isotopic composition of groundwater for specifically chosen groundwater samples ranges from-0.645‰ to +5.212‰ for δ^(18)O and from-9.582‰ to + 22.778‰ for δ^(2)H, where the seawater represented by a Red Sea water sample(δ^(18)O + 1.64‰-δ^(2)H + 9.80‰) and reject brine water are considerably enriched the isotopic groundwater values. The geochemical NETPATH model constrained by the dissolved significant ions, isotopes, and the rock aquifer forming minerals as phases indicate the mixing percent with the seawater ranges from 9% to 97% of seawater from 91% to 3% of original recharge water. According to the SEAWAT 3-D flow models, seawater has penetrated the Northeastern Dahab delta aquifer, with the intrusion zone extending1500 m inland. The salt dissolution, upwelling of saline water, recharge from the upstream mountain block, and seawater encroachment are the primary aspects contributing to the deterioration of groundwater quality. These findings may have significance for effective groundwater withdrawal management in arid locations worldwide with similar hydrogeological systems.

关键词： Groundwater geochemistry Seawater intrusion Solute transport SEAWAT

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Value of Platelet to Lymphocytes Ratio in Predicting Angiographic Reflow after Primary Percutaneous Coronary Intervention in STEMI Patient

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World Journal of Cardiovascular Diseases 2019年第4期9卷 300-308页

作者： Ahmed Emara Neveen I. samy Walaa Farid Mohamed elgendy Department of Cardiology Faculty of Medicine Menoufia University Al Minufya Egypt

Background: Acute myocardial infarction is a leading cause of death worldwide nowadays and treatment of choice is primary percutaneous coronary intervention (PCI). No reflow is a complication that increases mortality and morbidity post intervention and one of its predictors is platelet lymphocyte ratio. Aim of Study: To assess relation between admission platelet to lymphocyte ratio (PLR) and angiographic reflow after primary PCI in acute ST elevation myocardial infarction (STEMI). Patients and Methods: This is a prospective study that was conducted from May 2017 to May 2018 at Cardiology Department, Menoufia University Hospital. Sixty patients presented with ST-elevation myocardial infarction who were eligible for primary PCI were enrolled in the study. According to TIMI flow post intervention, patients were arranged into 2 groups: Group 1 (Normal Reflow) included thirty patients with post intervention TIMI flow III and Group 2 (NO Reflow) included thirty patients with post intervention TIMI flow (0, I, II). Comparison between both groups was done regarding platelet lymphocyte ratio (PLR). Result: PLR was significantly higher in patients with coronary no reflow than in patients with normal reflow with a P-value of , timing interval between onset of chest pain to time of intervention and thrombus grading was significantly higher in patients with no reflow than in patients with normal reflow. Conclusion: Pre-intervention PLR is an independent predictor of slow flow/no reflow following PPCI in patient with acute STEMI.

关键词： Acute Myocardial Infarction Primary Percutaneous Coronary Intervention No Reflow Platelet Lymphocyte Ratio

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