The effect in the production of fly larvae using four substrates: wheat bran, corn germ, filter cake and rice bran adding 20% of pig manure was evaluated. Insects cages were used to raise the house flies, under a randomized block design with four replicates. The temperature inside the substrates and outside was measured. In each treatment the number of larvae obtained and the average weight of these were determined, calculating the corresponding yields. The weight and crude protein content of the substrates were determined, at the beginning and end of the experiment, as well as the presence of Salmonella spp. and faecal coliforms. The comparisons of the temperatures, and the variables corresponding to the larvae were made by means of simple Anova, and for the protein contents of the substrates tests of related samples were used (P < 0.05). The temperature within wheat bran was higher than the rest of the substrates (P < 0.05) from the third to the fifth day. The weight of the larvae of flies did not differ by substrates (0.016899 g to 0.018160 g). This last substrate was also the one that showed a higher yield of fly larvae (82.37 g/kg). There is a decrease in crude protein in bio transformed substrates. No presence of Salmonella spp. was detected in the substrates, but faecal coliforms were detected in the sow.

Our research has been focused on in situ determination of the texture and the textural class of soil in LUHIHI sector in South Kivu with the objective of determining the texture and textural class of soil in this sector by applying the method VSA. To achieve this research, we have processes with descriptive and statistical methods but also with several techniques including documentation, observation and data collection. To achieve this, we have chosen used seven trials of the VSA method including: the test launch of the ball, the test pressure, the bottle test, the test of the horizontal plane, the test of the shaken pellet, the test to crush dry soil as well as the handling of successive test. All these methods and techniques have allowed us to classify soil in a way our study area. From the standpoint of soil texture, the results of our work have proved that this sector consists essentially of clays, silts and sand. The results of determining the textural class allowed them to classify the soil as clay.

This study is the result of a survey of 344 people in the Bwamanda Health Zone specifically in 8 health areas on the determinants of low affiliation to the Bondeko Health Mutual in the Provincial Division of Southern Ubangi Health. In the Democratic Republic of Congo. We conducted a descriptive retrospective study aimed at improving the conditions for universal access to health care by identifying the factors that may affect affiliation to the health insurance system of developing countries. Considering the contribution and the importance of a mutual health in the accessibility of care in health facilities, this research is based on the observation that Bondeko Health Mutual is one of the oldest in the DRC but also constituted for certain country a model to follow for others including Rwanda. Despite its seniority it turns out that the annual affiliation rate does not believe in relation to the expected population. The results of this research revealed that poverty, discouragement of providers, number of people in the household and high affiliation fees are the determinants of weak community affiliation in this research.

A descriptive study was conducted at the Office of the Provincial Division of Health of South Ubangi to assess the level of knowledge of the agents there affect on health problems related to the computer. The main concern was to determine the level of the agents on the pathologies related to the use of the computer.The survey was conducted with a population of 40 agents, from which we extracted a sample of 35 agents present and having the computer as a working tool and this in the period from January 15 to March 15, 2018. The latter has led the following results: knowledge of health problems related to the use of the computer gave, based on observed frequencies, 36%.This result being lower than our acceptability criterion, led to the conclusion that the agents of the Provincial Division of Health of South Ubangi have little knowledge of health problems related to the use of the computer.

We build an expert system for the tropical diseases diagnosis based on fuzzy symptoms. In effect, for a given disease, each symptom is assigned a weight indicating its belonging degree to the fuzzy set of symptoms that determine that disease. So, from a set of fuzzy symptoms, the expert system determines a disease by aggregating symptoms weights to calculate the certainty degree of the diagnosis realized.