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Predictive Factors of the Success of Handball Project Trainees in Shewarobit Town Administration
Gezahagn Demeke,
Amare Tigabu
Issue:
Volume 8, Issue 3, September 2022
Pages:
68-72
Received:
6 June 2022
Accepted:
18 July 2022
Published:
29 July 2022
DOI:
10.11648/j.bs.20220803.11
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Abstract: The main objective of this study was to investigate the Predictive factors of the success of handball project trainees in shewarobit town administration. The study adopted an explanatory research type. Both quantitative and qualitative research approaches were used. The only primary data source was used. The target populations were all project trainees, coaches, project coordinators, and sports work process team leaders. A total of 65 samples were selected via censes sampling technique. The primary data was collected using questionnaires, interviews and observation. Both quantitative and qualitative data analysis approaches were employed, by using descriptive statistics and inferential statistics through SPSS version 20.0. The finding of the study indicated that the mean value of all the independent variables (Training methods, materials and infrastructure availability, Trainees’ interest and attitude, and concerned body participation) were found within a range between 2.85 to 3.24, showing a moderate extent of the practice in the study area. In addition, there is a significant positive relationship between all the predictor variables and trainees’ success. And also, the finding of the study shows that the predictor variables explained or affect approximately 80.2% (R2) of the variance of trainees’ success and the remaining 19.8% is explained by the other factors. In summary, the study found that three of the independent variables (training method, materials and infrastructure availability, and concerned body participation) were found to be statistically significant predictors of the dependent variable; the result was triangulated by interview and observation. Therefore, based on the finding, the study recommends that special attention must be given to these three variables or factors to enhance the success of trainees; further studies be carried out considering the interaction of other variables that influence Trainees' success.
Abstract: The main objective of this study was to investigate the Predictive factors of the success of handball project trainees in shewarobit town administration. The study adopted an explanatory research type. Both quantitative and qualitative research approaches were used. The only primary data source was used. The target populations were all project trai...
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Review on Public Importance and Diagnostic Method of Listeria Monocytogenes, Ethiopia
Teferi Benti Moti,
Abebe Olani Bulto
Issue:
Volume 8, Issue 3, September 2022
Pages:
73-85
Received:
4 July 2022
Accepted:
15 August 2022
Published:
24 August 2022
DOI:
10.11648/j.bs.20220803.12
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Abstract: Listeriosis is a disease in humans and an animal caused by Listeria monocytogenes and is one of the most important emerging bacterial zoonotic diseases worldwide. Among the Listeria species, Listeria monocytogenes causes listeriosis in humans and animals and has the highest case fatality rate among foodborne diseases. It is one of the major microorganisms responsible for food-borne illness. The main sources of infection are reservoir hosts, contaminated food of animal origin, dairy products, fish and fish products, vegetables and the environment. The immunocompromised people, elderly, newborns and pregnant women are the most susceptible groups to listeriosis. Listeria monocytogenes could be a gram-positive, rod-shaped, facultatively anaerobic, non-spore-forming, microscopic bacterium with a low G+C concentration. It can withstand and tolerate a wide range of pH, temperature, and salt. Consumption of contaminated food and ready-to-eat foods is the chief source of infection for humans. Listeria is identified in suspected samples using isolation and identification, biochemical, serological, and molecular methods. Studies show that L. monocytogenes becomes resistant to some types of antibiotic therapy. The effects of listeriosis on social health and economic importance have been not well documented in our country. As a result, this review's objective is to inform the public about the importance of the diseases, a diagnostic tool, and a summary of the data on food-borne listeriosis in meals containing animal products. Good cleanliness and secure handling during manufacturing, distribution, storage, and transport are necessary for preventive actions against diseases.
Abstract: Listeriosis is a disease in humans and an animal caused by Listeria monocytogenes and is one of the most important emerging bacterial zoonotic diseases worldwide. Among the Listeria species, Listeria monocytogenes causes listeriosis in humans and animals and has the highest case fatality rate among foodborne diseases. It is one of the major microor...
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A Comprehensive Review on Epidemiology, Prevention and Control of FMD Virus in Pakistan
Muhammad Umer,
Khush Hal,
Wasim Abbas,
Sajid Abbas,
Adnan Yousaf,
Mathan,
Rabia Khalil,
Adeela Sharif
Issue:
Volume 8, Issue 3, September 2022
Pages:
86-96
Received:
29 May 2022
Accepted:
27 June 2022
Published:
29 August 2022
DOI:
10.11648/j.bs.20220803.13
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Abstract: Foot-and-mouth disease (FMD) is a severely debilitating viral infection that affects cloven-hoofed animals and is seen as a major danger to the global cattle economy. The OIE has designated 70 nations as FMD-free zones, regardless of immunization status, whereas Pakistan and about 100 other countries are still classified endemic or sporadic zones. The infection is most common in cattle and pigs, although it also affects goats, lambs, buffaloes in Pakistan. External factors, such as common disinfectants and standard meat preservation methods, have no effect on the virus. After an acute infection, the virus is shed in all body secretions and excretions (including exhaled air), such as saliva, nasal and lachrymal fluid, milk, urine, faeces, and sperm. In the absence of infection, preventive measures such as national border control should be established to prevent major movement of animals and livestock products from non-free neighbors or trading partners. FMD is currently widespread and widespread throughout Pakistan, while the disease's prevalence varies significantly throughout the country's various farming systems and agro-ecological zones. Five of the seven FMDV serotypes have endemic distributions in the nation, with Serotypes O, A, C, SAT1 and SAT2 being responsible for FMD outbreaks from 1974 to 2007. The most common serotype is O, which accounts for 72% of all outbreaks studied in the nation. Control through eradication, strengthened veterinary services, and control and prevention of other infections are all part of the global elimination of FMD. The virus-related obstacles, economic considerations of FMD enzootic considerations, and social and political issues are the key challenges addressed during FMD eradication. Eradication; FMD; Pakistan are some of the terms that come to mind while thinking about eradication.
Abstract: Foot-and-mouth disease (FMD) is a severely debilitating viral infection that affects cloven-hoofed animals and is seen as a major danger to the global cattle economy. The OIE has designated 70 nations as FMD-free zones, regardless of immunization status, whereas Pakistan and about 100 other countries are still classified endemic or sporadic zones. ...
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Adaptive Classification of Impending Human Heart, Kidney and Liver Failures Based on Measurable Blood-Related Parameters Using MIMO HANFA-ART with ACA Algorithms
Vincent Andrew Akpan,
Oluwatosin Temidayo Omotehinwa,
Joshua Babatunde Agbogun
Issue:
Volume 8, Issue 3, September 2022
Pages:
97-112
Received:
19 April 2022
Accepted:
8 June 2022
Published:
31 August 2022
DOI:
10.11648/j.bs.20220803.14
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Abstract: Heart, kidney and/or liver failure is a life-threatening condition that demands early detection as well as urgent medical attention and diagnosis based on the classification of their respective symptoms. This paper presents the application of multi-input multi-output hybrid adaptive neural-fuzzy algorithm based on adaptive resonant theory (MIMO HANFA-ART) with adaptive clustering algorithm (ACA) for the adaptive classification of the symptoms of impending human heart, kidney and liver failures based on measurable blood-related parameters obtained from hospitals in Akure metropolis of Ondo State, Nigeria. The ACA consist of an adaptive Gustafson and Kessel clustering (AG-KC) algorithm which is initialized by the K-means clustering algorithm. The 7 classes are: (i) Class 1: heart, (ii) Class 2: kidney, (iii) Class 3: liver, (iv) Class 4: kidney and liver, (v) Class 5: heart and liver, (vi) Class 6: heart and kidney, and (vii) Class 7: heart, kidney and liver. A total of 5888 data set with 16 attributes classified into 7 classes for 368 patients collected from 4 hospitals have been used for this investigation. Comparison of the MIMO HANFA-ART with ACA algorithms with neural-fuzzy classifier trained with the modified error back-propagation with momentum (M-EBPM) algorithm shows the efficiency and superior performance of the MIMO HANFA-ART with ACA algorithms for correct classification and prediction of the symptoms of impending heart, kidney and liver failure. MIMO HANFA-ART with ACA algorithms can be adapted and deployed for real-time online prediction and classification of the symptoms of heart, kidney and liver for early detection and medical attention using advanced biomedical electronics instrumentation techniques and Internet-of-Things (IoT) technologies.
Abstract: Heart, kidney and/or liver failure is a life-threatening condition that demands early detection as well as urgent medical attention and diagnosis based on the classification of their respective symptoms. This paper presents the application of multi-input multi-output hybrid adaptive neural-fuzzy algorithm based on adaptive resonant theory (MIMO HAN...
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