3 results match your criteria: "Sa'adah University[Affiliation]"
Synthesis of Highly Efficient and Recyclable Bimetallic Co-Fe-MOF for the Synthesis of Xanthan and Removal of Toxic Pb and Cd Ions.
ACS Omega
July 2023
Chemistry Department, Faculty of Science, Mansoura University, Mansoura 8080, Egypt.
Mono-(Fe) and bimetallic Co-Fe-MOF with different Co and Fe contents was successfully synthesized by the solvothermal method. The structural properties of the prepared samples were characterized by X-ray diffraction, transmission electron microscopy (TEM), Brunauer-Emmett-Teller specific surface area, and Fourier transform infrared spectroscopy. The results revealed the successful formation of mono and mixed Co-Fe-MOF.
View Article and Find Full Text PDFSynthesis and Anticancer Evaluation of New Thiazole and Thiadiazole Derivatives Bearing Acetanilide Moiety.
Russ J Gen Chem
November 2022
Department of Chemistry, Faculty of Science, Mansoura University, 35516 Mansoura, Egypt.
New thiazole and thiadiazole derivatives bound to the acetanilide moiety were synthesized and evaluated for their cytotoxic activity. The precursor -(4-acetamidophenyl)-'-phenylthiourea () was cyclocondensed with ethyl bromoacetate to afford a mixture of the two isomers, 2-(4-acetamidophenylimino)-3-phenylthiazolidin-4-one (, 23%) and 3-(4-acetamidophenyl)-2-phenyliminothiazolidin-4-one (, 71%). The Knoevenagel reaction of with various aromatic aldehydes afforded 5-arylidene-2-phenyliminothiazolidin-4-one derivatives -.
View Article and Find Full Text PDFIdentification of Cardiac Patients Based on the Medical Conditions Using Machine Learning Models.
Comput Intell Neurosci
August 2022
Computer Science & Information Systems Department, Faculty of Science, Sa'adah University, Sa'adah, Yemen.
Article Synopsis
- Chronic diseases, particularly heart disease like coronary artery disease (CAD), are major health concerns, with factors like high blood pressure, cholesterol, and smoking significantly raising risks.
- Estimating heart disease risk is complicated, as existing linear models and studies haven’t effectively classified patients or identified correlations, leading to the development of new mathematical models using patient medical data.
- The study presents two models: a curve fitting model and an artificial neural network (ANN), with the ANN showing superior accuracy in identifying heart disease patients, offering a potential tool for medical professionals that avoids invasive tests.