Machine learning-based prediction of unconfined compressive strength and contaminant leachability in dredged contaminated sediments for land reclamation projects.

This research investigates the application of machine learning techniques for predicting unconfined compressive strength (UCS) and contaminant leachability in dredged contaminated sediments (DCS) with implications for land reclamation projects. Traditionally, determining these parameters has been challenging, costly, and time-consuming, hindering efficient project planning and execution. Therefore, this study evaluated the efficacy of two machine learning models, namely extreme gradient boosting (XGBoost) and decision tree (DT), in improving prediction accuracy and reducing the need for resource-intensive testing procedures.

Case Report: Diagnostic itinerary of a male case of juvenile-onset systemic lupus erythematosus in Bouake.

Juvenile-onset systemic lupus erythematosus (JLES) is an autoimmune disease of unknown aetiology. It is more common in girls but can occur in boys. Its onset at an early age is more severe, causing potentially fatal damage if not treated early.

Evaluation of the Sterile Insect Technique for the Control of the Melon Fly () Under Laboratory and Semi-Field Conditions in Sri Lanka.

The melon fly, , poses a severe threat to the country's agricultural productivity, particularly in the cultivation of cucurbitaceous crops. This study was conducted to determine the ideal irradiation dose to be used to set up a Sterile Insect Technique (SIT)-based strategy to control outbreaks in Sri Lanka. A colony was established and maintained under standard laboratory conditions.

Factors of progression to severity and death in COVID-19 patients at two health care sites in Bamako, Mali.

Objectives: To analyze the clinical and biological characteristics and to evaluate the risk factors associated with the mortality of patients with COVID-19 in Commune IV of the District of Bamako.

Methods: The cohort consisted of COVID-19 patients managed from March 2020 to June 2022 at the Bamako Dermatology Hospital and the Pasteur Polyclinic in Commune IV in Bamako. The studied variables were sociodemographic, clinical, and biological.

Monitoring SARS-CoV-2 variants with complementary surveillance systems: risk evaluation of the Omicron JN.1 variant in France, August 2023 to January 2024.

BackgroundEarly detection and characterisation of SARS-CoV-2 variants have been and continue to be essential for assessing their public health impact. In August 2023, Santé publique France implemented enhanced surveillance for BA.2.