Teachers' Perception on Influence of Social Adjustment on Academic Performance of Students with Mild Mental Retardation in Gombe State Special School

This study focused on determining the perception of teachers on influence of social adjustment on academic performance in West African Examinations Council/National Examinations Council (WAEC/NECO) of students with mild mental retardation in Gombe state, with emphasis on special secondary school. Descriptive survey design was adopted for the study. A total population of 37 teachers were used as respondents. Using drop and pick method, data was collected using adapted social adjustment (questionnaire) from Mei- Yin, Huei – Shyong & Cheng-Jung (2000) in Taiwan with 22 items. The instrument was reduced to 18 items. The instrument was validated by 2 experts and reliability was of 0.82 was obtained through Chronbach’s Alfa coefficient determination formula and the original reported reliability is 0.85. Data was analysed using descriptive (frequency, percentage, mean and SD) statistics. The study found that level of academic performance WAEC/NECO of mentally retarded students is moderate in Gombe state special school, while the level of social adjustment on academic performance WAEC/NECO of mentally retarded students was found to be high as perceived by the teachers. The study concludes that the teachers in Gombe state special school are heterogeneous and social adjustment has great influence on academic performance of mentally retarded students. The study recommends that government should make it a policy that, all mentally retarded persons between the ages of 5-7 are subjected to social adjustment programmes which will transit them into formal school system and parents of mentally retarded children should improve their closeness with their children and also build in hope of their rehabilitation

Rapid Diagnostic Algorithms as a Screening Tool for Tuberculosis: An Assessor Blinded Cross-Sectional Study

Background: A major obstacle to effectively treat and control tuberculosis is the absence of an accurate, rapid, and low-cost diagnostic tool. A new approach for the screening of patients for tuberculosis is the use of rapid diagnostic classification algorithms. Methods: We tested a previously published diagnostic algorithm based on four biomarkers as a screening tool for tuberculosis in a Central European patient population using an assessor-blinded cross-sectional study design. In addition, we developed an improved diagnostic classification algorithm based on a study population at a tertiary hospital in Vienna, Austria, by supervised computational statistics. Results: The diagnostic accuracy of the previously published diagnostic algorithm for our patient population consisting of 206 patients was 54% (CI: 47%–61%). An improved model was constructed using inflammation parameters and clinical information. A diagnostic accuracy of 86% (CI: 80%–90%) was demonstrated by 10-fold cross validation. An alternative model relying solely on clinical parameters exhibited a diagnostic accuracy of 85% (CI: 79%–89%). Conclusion: Here we show that a rapid diagnostic algorithm based on clinical parameters is only slightly improved by inclusion of inflammation markers in our cohort. Our results also emphasize the need for validation of new diagnostic algorithms in different settings and patient populations

Symbols in engineering drawings (SiED): an imbalanced dataset benchmarked by convolutional neural networks.

Engineering drawings are common across different domains such as Oil & Gas, construction, mechanical and other domains. Automatic processing and analysis of these drawings is a challenging task. This is partly due to the complexity of these documents and also due to the lack of dataset availability in the public domain that can help push the research in this area. In this paper, we present a multiclass imbalanced dataset for the research community made of 2432 instances of engineering symbols. These symbols were extracted from a collection of complex engineering drawings known as Piping and Instrumentation Diagram (P&ID). By providing such dataset to the research community, we anticipate that this will help attract more attention to an important, yet overlooked industrial problem, and will also advance the research in such important and timely topics. We discuss the datasets characteristics in details, and we also show how Convolutional Neural Networks (CNNs) perform on such extremely imbalanced datasets. Finally, conclusions and future directions are discussed

Comparative trypanotolerance of the Small East African breed of goats from different localities to Trypanosoma congolense infection

Differences in susceptibility of the Small East African breed of goats to an experimental Trypanosoma congolense infection were investigated. The goats were obtained from different areas of East Africa, Morogoro and Arusha (Tanzania), Imbo and Lambwe Valley (Kenya). Morogoro goats were found to be more tolerant, followed by Arusha, Lambwe Valley and Imbo goats, in that order. The Imbo goats had highest parasitaemia, more severe anaemia, marked weight losses and highest mortality rate. The Morogoro goats showed a milder infection with lower parasitaemia, less severe anaemia, weight losses and lowest mortality rate. The Lambwe Valley and Arusha goats were intermediate to the Morogoro (resistant) and Imbo (susceptible) goats. The significance of these findings in relation to existence of heterogeneity in the Small East African goats is discussed

The influence of cobalt/vitamin B 12

International audienc

An Ectopic Thyroid Gland and Tissue in the Goat Pituitary Gland – A Short Communication

No Abstract.Kenya Veterinarian Vol. 15 1991: pp. 45-4

Risk factors associated with cholera in Harare City, Zimbabwe, 2008

Objective: Two suspected cholera cases at Beatrice Road Infectious Diseases Hospital were reported to Harare City Health on 14 October 2008 setting in motion investigation and control measures. We determined the extent of the epidemic and risk factors for contracting cholera.Methods: An unmatched 1:1 case-control study was conducted. Case: Any resident of Harare City, 2years and above, with acute watery diarrhoea, with or without vomiting from 30 October 2008 to 01 December 2008. Control: Any resident of Harare City, 2years and above, neighbour to a case, who did not contract cholera during the same period.Results: From 14 October 2008 to 21 January 2009, 11203 cases and case fatality rate (CFR)= 3.98%. We interviewed 140 cases and 140 controls. Median age was 28years (Q1= 20; Q3= 37.5) and 28.5years (Q1= 23; Q3= 38) for cases and controls respectively. Having a diarrhoea contact at home [AOR= 12.02; 95% CI (5.46 - 26.44)], having attained less than secondary education [AOR= 4.40; 95% CI (2.28 - 8.48)]; eating cold food [AOR= 4.24; 95% CI (1.53 - 11.70)] were independent risk factors while drinking tap water [AOR= 0.05; 95% CI (0.03 - 0.11)], washing hands after using toilet [AOR= 0.19; 95% CI (0.09 - 0.39)]; eating hot food always [AOR= 0.29; 95% CI (0.17 - 0.49)] were independently protective.Discussion: The high CFR may be due to poor case management and staff shortage in treatment camps. The cholera outbreak in Harare resulted from poor personal and hygiene practices that occur when water supplies are cut. Lack of water, low knowledge on cholera prevention measures and delays in community health education campaigns contributed to the protracted outbreak. Having a diarrhoea contact at home increases chances of household members acquiring infection. Provision of safe drinking water, community health education, recruitment of staff and training of health workers on cholera case management must be prioritized