Unwanted remains, discarded residues, and byproduct materials that are not required by the initial user are known as wastes. In Ethiopia, improper solid waste management becomes endemic and it affects the health conditions, comforts, and freedom of town communities. Improper solid waste management can also adversely affect infrastructure damages, socioeconomic conditions, and environmental and health problems. So, awareness creation among the communities is necessary. The main objective of the study was to assess the management of existing solid waste activities and reverse logistic systems in Tepi town. The impacts of improper solid waste management were reduced through waste accumulation, transportation, recycling, and waste removal. Available pieces of information for the study were gathered from 450 near house places and 549 survivals. The collected data were analyzed by using Vensim system dynamics software, and the obtained results were modeled by a system dynamic cause and effect relationship diagram. Finally, the appropriate recommendations for communities, municipals, and institutions were provided.

This study included the role of Leuconostoc mesenteroides subsp. cremoris in oral diseases such as periodontitis. Material and Method. Isolation and identification of Leuconostoc mesenteroides subsp. cremoris from a saliva sample of twenty patients wearing fixed dental prostheses suffering from periodontitis followed by estimating susceptibility generally to the most common antibiotics and specifically to chlorhexidine (CHX) to determine the MIC of CHX and also screening of the strength of biofilm production under aerobic and anaerobic conditions; here, the study included six groups: Group I: screening of biofilm formation under aerobic condition, Group II: screening the MIC of CHX effect on biofilm formation under aerobic condition, Group III: screening of the MIC of CHX effect on preformed biofilm under aerobic condition, Group IV: screening of biofilm formation under anaerobic condition, Group V: screening of MIC of CHX effect on biofilm formation under anaerobic condition, and Group VI: screening of MIC of CHX effect on preformed biofilm under anaerobic condition. Results. The results showed that about 5 (25%) isolates were identified as L. mesenteroides subsp. cremoris, while 75% are other isolates. Furthermore, susceptibility results to antibiotic showed the sensitivity to penicillin (100%), azithromycin (100%), ciprofloxacin (100%), tetracycline (100%), gentamicin (100%), doxycycline (100%), vancomycin (100%), ofloxacin (60%), chloramphenicol (80%), ampicillin (80%), and cefoxitin (60%). On the other side, the biofilm production assays revealed that all isolates were moderate biofilm former under the aerobic and anaerobic conditions but for the biofilm treated with MIC of CHX, the current study noticed that the strength of the biofilm became weaker in aerobic and anaerobic conditions; regardless, the strength of the biofilm under anaerobic conditions was higher than in that under aerobic conditions, with no significant differences at p ≤ 0.05 depending on the statistical analysis ( T -test) before and after the treatment with MIC of CHX in aerobic and anaerobic conditions. Conclusions. The presence of mesenteroides subsp. cremoris in the oral cavity is due to eating foods and vegetables; based on the strength of the biofilm and sensitivity tests, the isolates have less pathogenicity in the oral cavity due to the weakness of the biofilm production and the lack of resistance to antibiotics.

This paper presents the research results on the contribution of user-centered data mining based on the standard principles, focusing on the analysis of survival and mortality of lung cancer cases. Researchers used anonymized data from previously diagnosed instances in the health database to predict the condition of new patients who have not had their results yet. Medical professionals specializing in this field provided feedback on the usefulness of the new software, which was constructed using WEKA data mining tools and the Naive Bayes method. The results of this article provide elements of interest to discuss the value of identifying or discovering relationships in apparently “hidden” information to propose strategies to counteract health problems or prevent future complications and thus contribute to improving the quality of care. Life of the population, as would be the case of data mining in the health area, has shown applicability in the early detection and prevention of diseases for the analysis of genetic markers to determine the probability of a satisfactory response to medical treatment, and the most accurate model was Naive Bayes (91.1%). The Naive Bayes algorithm’s closest competitor, bagging, came in second with 90.8%. The analysis found that the ZeroR algorithm had the lowest success rate at 80%.

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The 11th regional state in southwest Ethiopia, the South West Ethiopia Peoples' Region (SWER), is well-reachable for various coffee species and cultivation. According to a tradition, in the ninth century, the goat herder Kaldi first saw the potential of these well-loved beans in one of the region's zones, namely Kefa. The research article's main goal is to examine the impact of management information systems (MIS) on the coffee farm sector in SWER. Direct site observation and secondary data reviews on the subject were the methods used to obtain the data. The review's findings demonstrated that using management information systems worked substantially better when important industry informants participated actively and made decisions about stress. The SWER which was coffee-abundant and developed using traditional ways, should provide information management synchronization systems. The birthplace of coffee (Ethiopia) could use technologies for assessing MIS implementation tasks to remove difficulty at high speed in the intelligibility levels. Triple constraints like time, cost, and quality of information must be managed.