Application of supervised learning classification modeling for predicting benthic sediment toxicity in the southern California bight: A test of concept.

Benthic sediment toxicity is linked to harmful effects in marine organisms and humans, and an understanding of the link would require, in part, a comprehensive and exhaustive analysis of sediment toxicity data already in hand. One tool which could aid in the process is machine learning (ML), a supervised classification modeling technique that has transformed how actionable insight are acquired from large datasets. The current study is a test of concept in which an ML classifier is sought that can accurately extrapolate the characteristics of a 5437 California-wide coastal training dataset (assembled from 1635 samples) to predict sediment toxicity in southern California bight (SCB).

Anti-malarial drug use, appropriateness and associated factors among children under-five with febrile illnesses presenting to a tertiary health facility: a cross sectional study.

Background: Malaria is endemic in 95% of Uganda and constitutes the country's most significant public health problem-being the leading cause of morbidity and mortality, especially among children under five years of age. The current national malaria treatment policy is to use artemisinin-based combination therapy (ACT) as first-line treatment, and recommends parasitological confirmation of malaria before therapy. Adherence to this policy, however, remains suboptimal, with the self-initiated home-based therapy being common-posing undue exposures to, and pressure on the current artemisinin-based combinations, with the danger of emergence of drug resistance.

Pre-hospital exposures to antibiotics among children presenting with fever in northern Uganda: a facility-based cross-sectional study.

Background: The rise in the indiscriminate use of antibiotics has become a major global public health problem and presents the biggest global health challenge in the twenty-first century. In developing countries, caregivers initiate treatment with antibiotics at home before presentation to a health facility. However, there is a paucity of evolving data towards surveillance of this trend in low-income countries.

Indirect assessment of biomass accumulation in a wastewater-based Chlorella vulgaris photobioreactor by pH variation.

Algae bloom in coastal waters is partly supported by residual nutrients in treated wastewater (WW) released from coastally located treatment plants. In response, a Chlorella vulgaris-based photobioreactor was recently proposed for lowering nutrient levels in WW prior to release. However, the solution requires maintaining biomass accumulation to within a photobioreactor capacity for optimum operation.

The prevalence and antibiotics susceptibility pattern of Neisseria gonorrhoeae in patients attending OPD clinics at St. Mary's Hospital Lacor Uganda.

Introduction: Gonorrhea is one of the most common sexually transmitted infections (STls) in developing countries, and the emergence of resistance to antimicrobial agents in Neisseria gonorrhoeae is a major obstacle in the control of gonorrhoea. Periodical determination of the prevalence and monitoring of antimicrobial susceptibility of N. gonorrhoeae is essential for the early detection of emergence of drug resistance.