A newly developed analytical method characterized by its speed and sensitivity for the determination of metoclopramide hydrochloride (MCP-HCl) in pure and pharmaceutical preparations via absorbance measurement by Ayah 6SX1-T-2D Solar cell-CFI Analyser. The method is based on the oxidation of the drug with Ce(IV)sulfate in acidic medium to form a red color species which determined using homemade Ayah 6SX1-T-2D Solar cell . Chemical and physical parameters were studied and optimized. The calibration graph was linear in the range of 0.05- 16 mMol.LP-1Pwith correlation coefficient r = 0.9855. The limit of detection(S/N = 3) 0.332 μg/sample from the step wise dilution for the minimum concentration in the linear dynamic ranged of the calibration graph. The RSD% at 2 and 6mMol.LP-1P metoclopramide hydrochloride is less than 0.6% (six replicate). The method was successfully applied for the determination of metoclopramide hydrochloride in three pharmaceutical drugs. A comparison was made between the newly developed method analysis with the classical method (UV-Vis spectrophotometry at λ max 474 nm) using the standard addition method via the use of t-test. It was noticed that there was a significant difference between two methods at 95 % confidence level.
Lattakia city faces many problems related to the mismanagement of solid waste, as the disposal process is limited to the random Al-Bassa landfill without treatment. Therefore, solid waste management poses a special challenge to decision-makers by choosing the appropriate tool that supports strategic decisions in choosing municipal solid waste treatment methods and evaluating their management systems. As the human is primarily responsible for the formation of waste, this study aims to measure the degree of environmental awareness in the Lattakia Governorate from the point of view of the research sample members and to discuss the effect of the studied variables (place of residence, educational level, gender, age, and professional status) o
... Show MoreSentiment analysis is one of the major fields in natural language processing whose main task is to extract sentiments, opinions, attitudes, and emotions from a subjective text. And for its importance in decision making and in people's trust with reviews on web sites, there are many academic researches to address sentiment analysis problems. Deep Learning (DL) is a powerful Machine Learning (ML) technique that has emerged with its ability of feature representation and differentiating data, leading to state-of-the-art prediction results. In recent years, DL has been widely used in sentiment analysis, however, there is scarce in its implementation in the Arabic language field. Most of the previous researches address other l
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