Food insecurity and lifestyle behaviours in university students amidst the COVID-19 pandemic: a comparative survey across three countries.

Background: University students, often unemployed and reliant on low-nutrition foods, are susceptible to food insecurity (FI) with potential physical and mental health challenges. This study explores FI and its impact on lifestyle behaviours among university students.

Methods: A cross-sectional web-based study was performed by sending an online questionnaire to university students in Lebanon, Cyprus, and Germany during the COVID-19 pandemic.

Breastfeeding support as predictors of sustainable breastfeeding practices of nursing mothers with common mental disorders in tertiary hospital nurseries in Nigeria: a cross sectional study.

Background: The postpartum period is associated with an increased risk of maternal mental disorders. The combined effect of having the mother's infant admitted to a tertiary hospital in a low-resource setting and the need to exclusively breastfeed the infant may exaggerate this risk. This study aimed to determine the breastfeeding support provided to mothers whose infants were hospitalised in Nigerian tertiary hospital nurseries and the prevalence of common mental health disorders among this population.

Optimizing coastal groundwater quality predictions: A novel data mining framework with cross-validation, bootstrapping, and entropy analysis.

Investigating the potential of novel data mining algorithms (DMAs) for modeling groundwater quality in coastal areas is an important requirement for groundwater resource management, especially in the coastal region of Bangladesh where groundwater is highly contaminated. In this work, the applicability of DMA, including Gaussian Process Regression (GPR), Bayesian Ridge Regression (BRR) and Artificial Neural Network (ANN), for predicting groundwater quality in coastal areas was investigated. The optuna-based optimized hyperparameter is proposed to improve the accuracy of the models, including optuna-GPR and optuna-BRR as benchmark models.

Techno-economic assessment and innovative production of nutrient-rich jam, jelly, and pickle from Sonneratia apetala fruit.

Sonneratia apetala, a nutrient-rich mangrove fruit, presents an opportunity for innovative food product development, offering potential health benefits and economic value through the creation of jam, jelly, and pickle. This innovative invention reveals the nutritional content including vitamins and minerals of Sonneratia apetala jam, jelly, and pickles from Nijhum Dwip in Hatiya Upazila, Noakhali District. These products contain Na, Mg, K, Ca, Mn, Fe, Cu, and Zn, which are essential for human nutrition.