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.

A fatal case of Vibrio cholerae-associated diarrhea and bacteremia in a 30-year-old carrier of beta-thalassemia.

Bacterial infections leading to bacteremia and septicemic shock constitute an emerging public health concern globally, especially in areas where sanitation is poor and safe drinking water is scarce. Enteric pathogens such as Vibrio cholerae are responsible for many deaths caused by contaminated food and water in these areas. While cholera is the prominent clinical threat posed by V.

Understanding the role of potential biomarkers in attenuating multiple sclerosis progression via multiomics and network-based approach.

Background: Multiple sclerosis (MS) is a complex neurological disorder marked by neuroinflammation and demyelination. Understanding its molecular basis is vital for developing effective treatments. This study aims to elucidate the molecular progression of MS using multiomics and network-based approach.

Employing spectroscopic, calorimetric and structural bioinformatics approaches to decipher the binding mechanism of mangiferin with human transferrin.

In recent times, neurodegenerative diseases (NDs), such as Alzheimer's disease (AD), Parkinson's disease (PD) and others, represent a major global health challenge with increasing prevalence and significant socio-economic impact. These diseases, characterized by progressive neuronal loss, currently lack effective therapies. Phytochemicals offer promising therapeutic potential due to their diverse bioactive properties.