Improving flood-prone areas mapping using geospatial artificial intelligence (GeoAI): A non-parametric algorithm enhanced by math-based metaheuristic algorithms.

Flooding presents substantial dangers to human lives and infrastructure, underscoring the need to map flood-prone areas to implement effective mitigation measures precisely. Although machine learning algorithms have made great strides, their accuracy in flood susceptibility mapping (FSM) remains limited due to data dependence, interpretability, and explainability issues, overfitting, generalization difficulties, and hyperparameter tuning. This study suggests combining the Decision Tree (DT) algorithm with advanced, math-based metaheuristic optimization algorithms to address these limitations.

Identifying gait differences between Alzheimer's disease and dementia with Lewy bodies and their associations with regional amyloid deposition.

Introduction: We aimed to compare gait between individuals with Alzheimer's disease (AD), dementia with Lewy bodies (DLB), and cognitively unimpaired (CU) individuals and to evaluate the association between gait and regional amyloid beta (Aβ) burden in AD and DLB.

Methods: We included 420 participants (70 AD, 70 DLB, 280 CU) in the Mayo Clinic Study of Aging (MCSA). Gait was assessed using a pressure-sensor walkway.

AGA Clinical Practice Guideline on the Prevention and Treatment of Hepatitis B Virus Reactivation in At-Risk Individuals.

Background & Aims: Hepatitis B reactivation (HBVr) can occur due to a variety of immune-modulating exposures, including multiple drug classes and disease states. Antiviral prophylaxis can be effective in mitigating the risk of HBVr. In select cases, clinical monitoring without antiviral prophylaxis is sufficient for managing the risk of HBVr.

Synergistic Antifungal Activity of Terbinafine in Combination with Light-Activated Gelatin-Silver Nanoparticles Against Strains.

The development of resistance to traditional antifungal therapies has necessitated the exploration of alternative treatment strategies to effectively manage fungal infections, particularly those induced by (). This research investigates the possibility of integrating silver nanoparticles (AgNPs) with Terbinafine to improve antifungal effectiveness. Terbinafine, while potent, faces challenges with specific fungal strains, highlighting the need for strategies to enhance its treatment efficacy.