Environmental mediation of colistin resistance in the African context. A systematic scoping review.

Objectives: The prevalence of antimicrobial resistance (AMR) among Gram-negative bacteria is a major global health concern. Resistance to last-resort antibiotics like colistin is particularly alarming. This study reviews how environmental factors have contributed to colistin resistance in the African context, where reports of colistin-resistant Gram-negative organisms are emerging.

Discrimination of older peers is associated with workplace age discrimination: moderation by occupational health literacy.

Background: Workplace Age Discrimination Experienced (WADE) can be disorientating and detrimental to well-being. Hence, older employees would like to avoid it, but those who experience it may discriminate against their older peers. WADE may be associated with Age Discrimination of Peers (ADP), and this relationship can be moderated by Occupational Health Literacy (OHL).

Investigation of the antimycobacterial activity of African medicinal plants combined with chemometric analysis to identify potential leads.

The emergence of drug-resistant Mycobacterium tuberculosis strains is a threat to global health necessitating the discovery of novel chemotherapeutic agents. Natural products drug discovery, which previously led to the discovery of rifamycins, is a valuable approach in this endeavor. Against this backdrop, we set out to investigate the in vitro antimycobacterial properties of medicinal plants from Ghana and South Africa, evaluating 36 extracts and their 252 corresponding solid phase extraction (SPE) generated fractions primarily against the non-pathogenic Mycobacterium smegmatis and Mycobacterium aurum species.

Grassroots stakeholders' perception of participation in the Medium-Term Development Plan of District Assemblies in Ghana: The case of Sawla-Tuna-Kalba District.

Following Ghana's decentralisation policy, the District Assemblies, in consultation with communities, are required to prepare and implement Medium-Term Development Plans [MTDPs] to ensure the overall development of their respective jurisdictions. However, little consideration has been given to the participation of grassroots stakeholders in the development of MTDPs. Consequently, this study investigates the participation of grassroots stakeholders in developing MTDPs.

Health risk assessment of some selected heavy metals in infant food sold in Wa, Ghana.

Infants remain a high-risk group as far as exposure to toxic metals is concerned. The levels of lead (Pb), cadmium (Cd), nickel (Ni), chromium (Cr), antimony (Sb), mercury (Hg), and arsenic (As) in twenty-two (22) samples of baby foods and formulas were determined using inductively coupled plasma mass spectrometry. The concentrations in (mg/kg) of As, Cd, Cr, Hg, Mn, Ni, Pb, and Sb were in the ranges 0.

Weighted Bayesian Belief Network: A Computational Intelligence Approach for Predictive Modeling in Clinical Datasets.

There are growing concerns about the mortality due to Breast cancer many of which often result from delayed detection and treatment. So an effective computational approach is needed to develop a predictive model which will help patients and physicians to manage the situation timely. This study presented a Weighted Bayesian Belief Network (WBBN) modeling for breast cancer prediction using the UCI breast cancer dataset.

Prospects and Challenges of Using Machine Learning for Academic Forecasting.

The study examines the prospects and challenges of machine learning (ML) applications in academic forecasting. Predicting academic activities through machine learning algorithms presents an enhanced means to accurately forecast academic events, including the academic performances and the learning style of students. The use of machine learning algorithms such as K-nearest neighbor (KNN), random forest, bagging, artificial neural network (ANN), and Bayesian neural network (BNN) has potentials that are currently being applied in the education sector to predict future events.

The Phytochemistry and Pharmacology of , , and : 'Talented' Taxa from the Amaryllidaceae.

Amaryllidaceae is a significant source of bioactive phytochemicals with a strong propensity to develop new drugs. The genera , , and biosynthesize novel alkaloids and other phytochemicals with traditional and pharmacological uses. Amaryllidaceae biomolecules exhibit multiple pharmacological activities such as antioxidant, antimicrobial, and immunomodulatory effects.

The Impact of Different Drying Techniques on the Physicochemical and Quality Characteristics of Oil Palm Fruit Mesocarp ().

Drying is one of the traditional means of preserving food. However, various drying methods can influence the nutritional and bioactive constituents of the food product. This study is aimed at evaluating the effect of different drying methods on the proximate composition, physicochemical properties, and minor constituents of palm oil fruit mesocarp.