Abstract

Waste made of plastic has become a major source of water contamination, endangering both human health and ecosystems. To disrupt aquatic life, damage biodiversity, and get into the food chain, this research investigates how microplastics and larger plastic trash pollute water bodies. The report emphasizes the risks that plastic pollution poses to the ecosystem and human health, including its harmful effects and long-term persistence. To address this expanding worldwide concern, strategies for minimizing this issue are presented, reducing the use of plastic, improving trash disposal methods, and promoting sustainable substitutes. This study will use a quantitative approach to assess the impact of plastic waste on water pollution and its effects on ecosystems and human health. Data will be collected through water sampling to measure the concentration of microplastics and larger plastic debris in various water bodies. Statistical analysis will be performed to identify correlations between pollution levels and changes in aquatic biodiversity, as well as health risks associated with plastic contamination. The findings will provide quantitative evidence to support strategies aimed at reducing plastic pollution and improving waste management practices.

Background:Coffee and Tea are very popular beverages in Libyan society. They contain many bioactive substances such as polyphenols and catchiness that could have some effects for instance; antioxidant activity. The way of preparation of tea and coffee drinks are different among society. For example, in Libya tea drink is prepared by boiling the crude of fresh tea for 10 min. Therefore, the method of extraction could influence the type and quality of extracted substances. Aims: The goal of the current study was to examine the neuroprotective properties of coffee and tea beverages made by using traditional Libyan techniqueson Parkinson's disease like symptoms induced by haloperidol.Methods: Different tea and coffee beverages (treatment) were prepared and given to rats in a concentration 10%w/v for 3 consecutive weeks.Tea and coffee beverages were made as Libyans do. At day 21, rats were injected IP with 1mg/kg of haloperidol, afterward, the behavioral and motor parameters for Parkinson’s disease were tested.Results:Coffee and Tea treated groups showed significant improvement (p > 0.05)inthe behavioral activity, and in muscle coordination. Also there was a decrease in oxidation markers as treatment resulted in an elevation of glutathione reductase and decreasing in Malondialdehyde levels. In addition, the histopathological investigation showed a reduction in haloperidol induced damage in substantia nigra.Conclusion:The results showeda possible neuroprotective effect of Coffee and Tea against PD.The mechanism of protection might be due to an antioxidant activity.

Short Tandem Repeats (STRs) are one of the utmost mutable provinces in the human genome. They comprise tandem repeating DNA sequences ranging in length from two to six base pairs. Owing to their significant mutation rate, they exhibit considerable variation in pattern among populations and the capacity to be passed on from generation to generation. These loci are broadly employed in medicine, biology, and criminal investigation. They are pivotal in the genesis of a variety of genetic illnesses and have been intensively investigated in forensics, population genetics, and genetic genealogy. Although many implementations that manage STR loci are offered, the overwhelming majority of them rely primarily on the Command-Line Interface (CLI) inputs, which frequently necessitate the implementation of tools carried out in various scripting languages. Installing and launching programs through the Command Line (CL) is timeconsuming and/or unprofitable for many students and scholars. The fundamental intention of this project is to develop a cross-platform Graphical User Interface (GUI) package directed to the Combined DNA Index System (CODIS) STR analysis. Zenobia is a Java-based application considered as a step in consistently making CL-only programs available to more apprentices and researchers. In general, Zenobia's application outcomes satisfy the evaluation metrics for efficiency and time consumption. However, more genetic markers should be introduced to increase productivity of the application.

This review will highlight the chemical constituents and detail description of morphology and the pharmacological and therapeutic effects of Myrtus communis. This plant commonly known as myrtle, is an evergreen and aromatic herb of the family Myrtaceae, it is widely distributed throughout the world. M. communis was reported to contain carbohydrates (88.69%), crude protein (5.97%), crude oil (3.59%), moisture content (63.67%) and total ash (1.75%) and mineral elements and many other bioactive contents. Manypharmacological activities viz., antibacterial, antifungal, anticancer, antiviral, antioxidant, antidiabetic, hepatoprotective and neuroprotective etc. have been reported in different plant extracts.

This paper attempts to create an artificial neural networks (ANNs) technique for solving well-known fractal-fractional differential equations (FFDEs). FFDEs have the advantage of being able to help explain a variety of real-world physical problems. The technique implemented in this paper converts the original differential equation into a minimization problem using a suggested truncated power series of the solution function. Next, answer to the problem is obtained via computing the parameters with highly precise neural network model. We can get a good approximate solution of FFDEs by combining the initial conditions with the ANNs performance. Examples are provided to portray the efficiency and applicability of this method. Comparison with similar existing approaches are also conducted to demonstrate the accuracy of the proposed approach.