Application of Computational Techniques to Analyse Big Data

Computational analysis is a collection of procedures that is used to process large amounts of data with a view of obtaining results based on processed data and as a result, getting their behavioral pattern. The main goal of this research paper is to apply computational techniques to analyse big data, and to analyze the behavioral pattern of such data. To effectively evaluate estimated data, a simulation is carried out to accurately model actual data and at what period of time. The simulation, based on real data, is developed to estimate actual data. A goodness-tests which consist of Chi-Square (χ^2) goodness-test is computed to ensure that data estimates are reliable and adequate

Improvement of diabetic dyslipidemia by legumes in experimental rats

Grain legumes are a valuable source of food proteins; hence, their exploitation is expected to grow in relation to a growing world's food needs. Apart from high level of dietary fibre, their protein composition makes them useful in managing diabetes. This paper reports a study conducted to evaluate the effects of four different non-soy legume-based (Vigna unguiculata ssp. dekindtiana var dekindtiana, Vigna unguiculata ssp. unguiculata, Sphenostylis stenocarpa and Vigna subterranea) diets in rats administered with alloxan monohydrate (150 mg/kg bodyweight). Concentration of plasma glucose, triacylglycerol, total cholesterol, HDL-cholesterol and HDL-triacyglycerol as well as hepatic levels of cholesterol and triacylglycerols were determined spectrophotometrically in alloxan-induced diabetic rats fed on these legumes for five weeks. Induction of rats with alloxan monohydrate led to significant (p<0.05) elevation of fasting plasma glucose and reduction in body weight. Consumption of each of the four legumes led to a significant reduction in the fasting plasma glucose concentrations in the diabetic rats (p<0.05) with V. subterranean causing about 60% reduction. Vigna unguiculata ssp. dekindtiana var dekindtiana and Sphenostylis stenocarpa caused a reversal of the diabetes-induced reduction of hepatic cholesterol (p<0.05). Plasma dyslipidemia was observed in the alloxan-induced diabetic rats as significant (p<0.05) increases in total cholesterol, triacylglycerols, HDL-cholesterol, HDL-triacylglycerols and LDL-cholesterol levels were observed. The legumes improved the plasma lipid profile as shown by a significant (p<0.05) reduction in the ratios of total cholesterol/HDL-cholesterol (ranging from 1.25-2.25 for control groups to 1.00-1.35 for the legume-fed groups) and LDL-Cholesterol/HDL-Cholesterol (ranging from 0.50-1.75 for control groups to 0.50-0.75 for the legume fed groups). The results suggest that wild cowpea, white cowpea, african yam bean and bambara groundnut equally reversed diabetes-associated dyslipidemia as indicated by the indexes of cardiovascular disorder. This, therefore, underscores the potential of these underutilized legumes in managing dyslipidemia associated with diabetes in experimental rats. These data should contribute toward enhancing the nutraceutical potential and utility of these legumes.Keywords: Diabetes, lipid profile, rats, legumesAfrican Journal of Food, Agriculture, Nutrition and Development, Volume 13 No. 2, April 201

Improvement of Diabetic Dyslipidemia by Legumes in experimental rats

Grain legumes are a valuable source of food proteins; hence, their exploitation is expected to grow in relation to a growing world's food needs. Apart from high level of dietary fibre, their protein composition makes them useful in managing diabetes. This paper reports a study conducted to evaluate the effects of four different non-soy legume-based (Vigna unguiculata ssp. dekindtiana var dekindtiana, Vigna unguiculata ssp. unguiculata, Sphenostylis stenocarpa and Vigna subterranea) diets in rats administered with alloxan monohydrate (150 mg/kg bodyweight). Concentration of plasma glucose, triacylglycerol, total cholesterol, HDL-cholesterol and HDL-triacyglycerol as well as hepatic levels of cholesterol and triacylglycerols were determined spectrophotometrically in alloxan-induced diabetic rats fed on these legumes for five weeks. Induction of rats with alloxan monohydrate led to significant (p<0.05) elevation of fasting plasma glucose and reduction in body weight. Consumption of each of the four legumes led to a significant reduction in the fasting plasma glucose concentrations in the diabetic rats (p<0.05) with V. subterranean causing about 60% reduction. Vigna unguiculata ssp. dekindtiana var dekindtiana and Sphenostylis stenocarpa caused a reversal of the diabetes-induced reduction of hepatic cholesterol (p<0.05). Plasma dyslipidemia was observed in the alloxan-induced diabetic rats as significant (p<0.05) increases in total cholesterol, triacylglycerols, HDL-cholesterol, HDL-triacylglycerols and LDL-cholesterol levels were observed. The legumes improved the plasma lipid profile as shown by a significant (p<0.05) reduction in the ratios of total cholesterol/HDL-cholesterol (ranging from 1.25-2.25 for control groups to 1.00-1.35 for the legume-fed groups) and LDL-Cholesterol/HDL-Cholesterol (ranging from 0.50-1.75 for control groups to 0.50-0.75 for the legume fed groups). The results suggest that wild cowpea, white cowpea, african yam bean and bambara groundnut equally reversed diabetes-associated dyslipidemia as indicated by the indexes of cardiovascular disorder. This, therefore, underscores the potential of these underutilized legumes in managing dyslipidemia associated with diabetes in experimental rats. These data should contribute toward enhancing the nutraceutical potential and utility of these legumes

Early Growth Response of Azanza garckeana (Exell & Hillc) as Influenced by Organic and Inorganic Fertilizers

Thespesia garckeana (also known by its synonym Azanza garckeana) is a tree in the family Malvaceae, found throughout the warmer parts of Southern Africa. The use of organic and inorganic fertilizer is a way of providing adequate nutrition to growing seedlings, while improving their quality, resistance and adaptation. The study was carried out at the screen house and laboratory of the Department of Soils and Tree Nutrition of the Forestry Research Institute of Nigeria Ibadan (FRIN). The experiment was a completely randomized design (CRD), with sixteen (16) treatments and replicated 4 times. The data collected include; stem girth (mm), plant height (cm) and number of leaves at interval of 2 weeks for a period of 16 weeks, while plant dry matter were obtained at the 16th week. Data collected were subjected to statistical analysis of variance (ANOVA) using GenStat 9th Edition, while significant different means were separated using the Duncan Multiple Range Test (DMRT) at 5% probability level. The result showed that the experimental soil was loamy sand with low nutrient status, while the combination of compost and NPK 15:15:15 at ratio 1:2 (T13) in the soil showed a significantly higher mean height at the end of the study. Treatment T6 (NPK 15:15:15 at 125kgNha-1) maintained the widest stem diameter of 7.33mm among all the treatments and was significantly wider than that of T14 (NPK 15:15:15 at 33.3kgNha-1 + AC at 66.6kgNha-1) with 5.24mm stem diameter, which was the least. The dry matter yield for the plant’s stem showed a significant higher influence from treatment T13 (NPK 15:15:15 at 66.6kgNha-1 + AC at 33.3kgNha-1) with 1.84g, while treatment T6 significantly influenced root production (6.80g) compared to those of treatments T14 and T16 (0.39 and 0.12g respectively) with a combination of &nbsp;both organic and inorganic fertilizers. As shown in this study, a combination of NPK 15:15:15 at 66.6kgNha-1 + AC at 33.3kgNha-1 (T13) significantly increased plant height and stem dry matter yield compared to all other treatment combinations. Likewise, higher rate of inorganic fertilizer as seen in treatment T6 also significantly increased plant’s stem growth and root dry matter yield, while NPK 15:15:15 at 50 kgNha-1 + AC at 50kgNha-1 also increased plant leaves dry matter yield. Therefore, for a productive early growth response of Azanza garckeana, the use of the combinations of NPK 15:15:15 and Aleshinloye compost is recommended

PREVALENCE OF MALNUTRITION AND SELECTED RISK FACTORS OF CARDIOVASCULAR DISEASES AMONG PRIMARY HEALTHCARE WORKERS IN TWO LOCAL GOVERNMENT AREAS OF OGUN STATE, NIGERIA

Overnutrition resulting in overweight and obesity increases the risk of developing cardiovascular diseases. This study was carried out to assess the prevalence of malnutrition and some selected risk factors of cardiovascular diseases among primary healthcare workers in two Local Government Areas of Ogun State, Nigeria. An exhaustive sampling method was used, resulting in 220 eligible respondents. Anthropometric measurements were taken while body mass index (BMI) and abdominal obesity were calculated. Blood pressure and glucose level of the subjects were measured. Data were presented using frequency, percentage and Chi-Square tests to establish relationships among variables. Higher percentage (35.5%) of the respondents were of normal BMI category while prevalence of underweight, overweight and obesity were found to be 7.7%, 25.9% and 30.9%, respectively. Abdominal obesity was found among 58.2% of the respondents while high blood pressure was observed in 38.7%. Blood glucose was elevated in 20% of the subjects. Abdominal obesity, systolic and diastolic blood pressure of the respondents were found to be strongly associated with BMI (p&lt;0.05). This study observed high prevalence of overnutrition (overweight and general obesity), elevated blood glucose, high blood pressure, and high abdominal obesity trend as factors which may expose the respondents to poor health in future. &nbsp; &nbsp

Prevalence of Cervical Dysplasia and Associated Risk Factors among Women Presenting at a Primary Care Clinic in Nigeria

Background: Cervical cancer is a global burden, with increasing incidence and mortality especially in developing countries where there are no clearly define national protocols or guidelines for effective screening and prompt treatment of cervical dysplasia (precancerous condition of the cervix). Most screening facilities are located in the tertiary hospitals, which are mostly not readily accessible to patients because of fear and bureaucracy of accessing services at these tertiary hospitals. In Nigeria, cervical cancer is the second most common female malignancy after breast cancer and national guidelines on effective screening is not readily available. At the general outpatients’ Clinic, University College Hospital, Ibadan, screening is not well‑established and patients are referred to the gynecology clinic for papanicolaou (Pap) smear, which result in poor compliance as a result of the protocol involved.Aim: To asess the prevalence and risk factors for abnormal cervical cancer screening amongst patients of the Primary Care Clinic at UCH, Ibadan, towards justifying expansion of cervical cancer screening service points in tertiary health institutions in Nigeria.Subjects and Methods: A cross‑sectional study using the self‑administered structured questionnaire on questions relating to the socio‑demographic characteristics and lifestyle behavior including sexual history, after which Pap smear and visual inspection of the cervix with acetic acid were performed. Two hundred and eighty consented women aged 20–65 years were interviewed by one of the researchers between June and August 2012 using interviewer‑administered structured questionnaires. The questionnaire sought information on their sociodemographic characteristics, and lifestyle behavior including sexual history, after which Pap smear and visual inspection of the cervix with acetic acid were done, respectively, for all the respondents at no cost. The results were analyzed using Statistical Package for Social Sciences (SPSS) version 11. Cross‑tabulation was used to explore statistical associations between categorical variables. Variables were summarized using frequency distribution, means, proportions, and findings were presented in tables, histograms and pie charts. Chi‑square statistic was used to assess the association between categorical variables. The level of significance was set at P &lt; 0.05. Result: The mean age of the women was 42.5 (11.1) years, and their modal age was 30–39 years. The majority, 92.2% (258/280) of the women were Yoruba. Two hundred and twenty‑eight (81.4%) of the women were married with majority 149 (65.4%) in the monogamous union. Two hundred and thirteen (76.1%) of the women had abnormal cervical cytology. One hundred and sixty‑six (77.9%) of the women with abnormal cytology had inflammatory smears, 33 (15.5%) and 6 (2.8%) had mild and moderate dysplasia, respectively, while the remaining 8 (3.8%) had atypical cells. The prevalence of cervical dysplasia among all the women was 13.9% (39/280), with mild dysplasia accounting for 11.8% (33/280) of the total population. Atypical smears were found in 2.9% (8/280) of them. Histological findings suggestive of human papillomavirus (HPV) were found in 22 of the 33 (66.7%) women who had mild dysplasia and 1 of the 6 (16.7%) women who had moderate dysplasia. There was significant association between abnormal cervical cytology and age (P = 0.03), as well as suggested HPV infection findings (P &lt; 0.001). Visual inspection of the cervix with 5% acetic acid revealed that 46 of the 280 (16.4%) women had an aceto white area, while a prevalence of 47 (16.8%) was found with Pap smear, though visual inspection was found not to be as sensitive in detecting dysplasia. The prevalence of cervical dysplasia among the women was 13.9%, with mild dysplasia accounting for 11.8% of the total population. Atypical smears were found in 2.9% of them. There was a significant association between abnormal cervical cytology and increasing age (P = 0.03), as well as histological findings of HPV infection (P &lt; 0.001).Conclusion: Cervical dysplasia was found to be a common health problem among women attending the primary care clinic. This underscores the need for the provision of screening service at the clinic and effective health education to promote preventive practices and inculcate screening culture among women.KEY WORDS: Cervical dysplasia, Ibadan, Nigeria, risk factors, wome

Solar Photovoltaic Modules’ Performance Reliability and Degradation Analysis—A Review

The current geometric increase in the global deployment of solar photovoltaic (PV) modules, both at utility-scale and residential roof-top systems, is majorly attributed to its affordability, scalability, long-term warranty and, most importantly, the continuous reduction in the levelized cost of electricity (LCOE) of solar PV in numerous countries. In addition, PV deployment is expected to continue this growth trend as energy portfolio globally shifts towards cleaner energy technologies. However, irrespective of the PV module type/material and component technology, the modules are exposed to a wide range of environmental conditions during outdoor deployment. Oftentimes, these environmental conditions are extreme for the modules and subject them to harsh chemical, photo-chemical and thermo-mechanical stress. Asides from manufacturing defects, these conditions contribute immensely to PV module’s aging rate, defects and degradation. Therefore, in recent times, there has been various investigations into PV reliability and degradation mechanisms. These studies do not only provide insight on how PV module’s performance degrades over time, but more importantly, they serve as meaningful input information for future developments in PV technologies, as well as performance prediction for better financial modelling. In view of this, prompt and efficient detection and classification of degradation modes and mechanisms due to manufacturing imperfections and field conditions are of great importance towards minimizing potential failure and associated risks. In the literature, several methods, ranging from visual inspection, electrical parameter measurements (EPM), imaging methods, and most recently data-driven techniques have been proposed and utilized to measure or characterize PV module degradation signatures and mechanisms/pathways. In this paper, we present a critical review of recent studies whereby solar PV systems performance reliability and degradation were analyzed. The aim is to make cogent contributions to the state-of-the-art, identify various critical issues and propose thoughtful ideas for future studies particularly in the area of data-driven analytics. In contrast with statistical and visual inspection approaches that tend to be time consuming and require huge human expertise, data-driven analytic methods including machine learning (ML) and deep learning (DL) models have impressive computational capacities to process voluminous data, with vast features, with reduced computation time. Thus, they can be deployed for assessing module performance in laboratories, manufacturing, and field deployments. With the huge size of PV modules’ installations especially in utility scale systems, coupled with the voluminous datasets generated in terms of EPM and imaging data features, ML and DL can learn irregular patterns and make conclusions in the prediction, diagnosis and classification of PV degradation signatures, with reduced computation time. Analysis and comparison of different models proposed for solar PV degradation are critically reviewed, in terms of the methodologies, characterization techniques, datasets, feature extraction mechanisms, accelerated testing procedures and classification procedures. Finally, we briefly highlight research gaps and summarize some recommendations for the future studies

The Use of Waste Management Techniques to Enhance Household Income and Reduce Urban Water Pollution

Appropriate waste management options are major concerns in the developing world. Current methods include incineration in the open and accumulation of wastes in designated places where they constitute nuisance to the environment. Apart from air pollution from the incinerators, leachates from decomposed wastes are either washed off where they serve as source of pollutants to the adjourning streams and rivers or contaminate groundwater through deep percolation. We present viable options for managing agricultural wastes in this chapter. The options presented are so simple and sustainable such that it can be managed by individuals. Hence, they are independent of the government bureaucratic bottlenecks that have been the bane of the previous government interventions. If embraced, it will also serve as sources of income for the concerned household, hence enhance their livelihood

CONSUMPTION PATTERN OF MAIZE BASED DISHES IN FOUR AGRO-ECOLOGICAL ZONES OF NIGERIA

The global picture had dramatically changed the lifestyles of Nigerian citizens pushing them into various fast-eating cultures with more instant and tasty meals, and the attendant gradual relegation of our traditional rich eating cultures. Studies were carried in eight Local Government Areas of Nigeria from the four Agro-Ecological Zones (AEZs) namely: moist savanna (Oyo State), humid forest (Lagos State), mid-altitude (Abuja) and dry Savanna (Kaduna State). Stratified multistage sampling technique with structured questionnaires from 1641 respondents and focus group discussions (FGDs) were employed to identify the maize-based dishes consumed and determined the frequency of consumption. The demographic characteristics revealed that 54.8% of the respondents were male. Residents in the rural area were more (56.8%) and majority of the respondents were between the ages of 26-45 years (67.6%), while more Christians (57.88%) participated in the study than any other religion. Results showed that thirty–two maize-based dishes were identified, of which ten were frequently consumed. Ogi was the most popular maize-based dish (73.5%) consumed in the AEZs while corn pudding was the least consumed (28.5%). There were significant differences (p&lt;0.05) in all the sensory attributes measured. The low consumption of majority of the maize-based dishes raises concern for the current campaign on mobilizing local biodiversity which has been reported to be one of the food based intervention strategies for solving nutrition problems among population groups