Development and Usability Evaluation of a Mhealth Application for Health-Care Associated Infections among Health-Care Providers in Malaysia.

Background: The effectiveness of reducing healthcare-associated infections (HCAIs) depends on increasing healthcare providers' awareness, skills, and adherence to standard practices. Mhealth applications provide an innovative approach to enhancing access to information and resources while reducing time and expenses.

Objective: The study aimed to develop and evaluate a mhealth application for healthcare providers that offers quick access to updated recommendations, evidence-based guidelines, and protocols for managing patients with HCAIs.

An assessment of the environmental radiation risk from the petrologic units of north-eastern Nigeria; an insight from aero-radiometric data interpretation.

Information regarding the radiation risk posed by radioactive emissions from the petrologic units in North eastern Nigeria is extremely limited. Consequently, there has been little research conducted on the environmental impact of radiation exposure from different petrologic units in this region. Hence, the 13 petrologic components of the area that comprises of the migmatites-gneiss (MG), banded gneiss (BG), biotite-hornblende granites (OGe), porphyritic biotite-hornblende granites (OGp), charnockytes (Ch), ignimbrites (JYG), basalts (bb), Keri-Keri Formation (KK), Gombe Sandstones (GS), Pindiga Formation (PS), Yolde Formation (YL), Bima Sandstones (BS), and alluvium (AL) deposits were assessed using aero-radiometric data (equivalent uranium, equivalent thorium, and percentage potassium radio-elements) acquired by Nigerian geological survey agency (NGSA) in 2009.

Impact of COVID-19 on antimicrobial stewardship program: Study protocol.

The coronavirus disease (COVID-19) pandemic affects the healthcare system worldwide and challenges many governments and institutions. Antimicrobial stewardship program advocating the wise use of antimicrobial agents. Its metrics include antimicrobial use measures, process, and outcome performance indications.

Examining Public Sector Availability and Supply Chain Management Practices for Malaria Commodities: Findings From Northern Nigeria.

Background: Nigeria accounts for substantial proportions of global malaria infections and deaths, with children aged younger than 5 years being the most affected group. This suggests that access to lifesaving malaria interventions could be suboptimal, especially at public health facilities where most rural dwellers seek health care. We conducted this study to ascertain if public health facilities have the commodities and the robust supply chain management (SCM) system required to deliver malaria interventions to children younger than 5 years.

Evaluation of traditional and machine learning approaches for modeling volatile fatty acid concentrations in anaerobic digestion of sludge: potential and challenges.

This study evaluates models for predicting volatile fatty acid (VFA) concentrations in sludge processing, ranging from classical statistical methods (Gaussian and Surge) to diverse machine learning algorithms (MLAs) such as Decision Tree, XGBoost, CatBoost, LightGBM, Multiple linear regression (MLR), Support vector regression (SVR), AdaBoost, and GradientBoosting. Anaerobic bio-methane potential tests were carried out using domestic wastewater treatment primary and secondary sludge. The tests were monitored over 40 days for variations in pH and VFA concentrations under different experimental conditions.