• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.485-485
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• 2018

Rainwater harvesting system (RWH) can provide a relief for the household and farmers especially in areas with intense water scarcity during the long lull of rainy season. However, much attention has not been given to this alternative water source in Nigeria. This paper estimates the per capita water demand for 1,950 inhabitants and rainwater potential in Ojonbodu Estate, Oyo State, Nigeria, using data from detailed questionnaires, water consumption calculator software, and 20-year rainfall data. The potential rainwater estimation was based on amount of precipitation, size of catchment and runoff coefficient. Consequently, using estimated values of $39420m^3$ and $6.5114{\times}10^7m^3$ for per capita consumption and potential rainwater respectively, the rainwater harvesting system was designed for rainwater collection, and storage. The harvested rainwater was $450, 000m^3$ with collection efficiency of 69.16 %, which exceeded the household water consumption requirement. Thus, the harvested rainwater was able to meet the estimated water demand of the Ojonbodu Estate households during the period of water scarcity.

• International Journal of Knowledge Content Development & Technology
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• v.7 no.2
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• pp.21-40
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• 2017

Considering the need for quality health information and resultant health care services in any society, this study was carried out to look into the status of library and information resources and services provided by medical libraries in Enugu State, Nigeria. The main objective of the study was to find out the information resources and services available for medical library users towards quality health care provision. Five (5) medical libraries of major teaching hospitals were used for the study with 980 registered users as the study population from where 245 users were sampled. Observation checklist was used to collect data on resources while questionnaire was used to collect data from the respondents on the services provided. The Medical Library Association Standard guided the analysis of data from observation while frequency counts and mean scores were used to analyze data from the questionnaire. Major findings showed that even though some of the required resources and services are available and provided the medical libraries, most of the required resources and services are not adequately provided by these libraries.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.203-211
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• 2021

Image tampering detection and localization have become an active area of research in the field of digital image forensics in recent times. This is due to the widespread of malicious image tampering. This study presents a new method for image tampering detection and localization that combines the advantages of dilated convolution, residual network, and UNET Architecture. Using the UNET architecture as a backbone, we built the proposed network from two kinds of residual units, one for the encoder path and the other for the decoder path. The residual units help to speed up the training process and facilitate information propagation between the lower layers and the higher layers which are often difficult to train. To capture global image tampering artifacts and reduce the computational burden of the proposed method, we enlarge the receptive field size of the convolutional kernels by adopting dilated convolutions in the residual units used in building the proposed network. In contrast to existing deep learning methods, having a large number of layers, many network parameters, and often difficult to train, the proposed method can achieve excellent performance with a fewer number of parameters and less computational cost. To test the performance of the proposed method, we evaluate its performance in the context of four benchmark image forensics datasets. Experimental results show that the proposed method outperforms existing methods and could be potentially used to enhance image tampering detection and localization.

• Journal of Forest and Environmental Science
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• v.36 no.4
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• pp.311-317
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• 2020

Mushroom has economic, food and medicinal value to a large proportion of human populace. This study assessed the consumption pattern of mushroom species in Southwestern Nigeria. Non-probability sampling method was used to select 20 Local Government Areas (LGAs) from 3 states and four communities were selected purposively from each LGAs. Snow-ball sampling approach was used in selecting 5 respondents from each community, making a total of 400 respondents. Descriptive statistics was used to describe the socio-economic characteristics of the respondents, to compare the differences between the local (wild) and Exotic (cultivated) mushroom Species and to determine the rate at which mushroom substitute is consumed among the mushroom consumers. Logit regression was used to identify the factors influencing mushroom consumption in the study area. Thirty percent of the respondents were aged 41 to 50 years, with mean age of 49.76 years. About 82% had tertiary education, 17.3% earned above N200,000 monthly and 8.8% spent above N6000 monthly on mushroom. Logit regression showed that age (-3.21), household size (-2.17) and medicinal benefits (-2.17) had significant (p<0.01) negative effects on mushroom consumption. Conclusively, mushroom has wide acceptance among the general populace, good for food and medicine; hence, awareness should be created through agricultural policy on the need for mushroom cultivation and consumption in Nigeria.

• International Journal of Knowledge Content Development & Technology
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• v.10 no.4
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• pp.47-64
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• 2020

The study investigated the role of libraries in curtailing the spread of COVID-19 pandemic in Nigeria. Six research objectives were raised to guide the conduct of the study. The survey type of the descriptive research design was employed. The population of the study comprised of 139 selected librarians in Nigeria. The complete enumerative sampling technique was adopted to study the entire 139 librarians. The instrument for data collection was an online survey questionnaire designed by the researchers using SurveyMonkey and administered to the respondents via the Nigerian Library Association (NLA) WhatsApp group and the NLA Google group. The data collected were analyzed using descriptive statistics. The study revealed that among the services delivered by Nigerian libraries amidst the global pandemic are COVID-19 awareness and sensitization creation, provision of digital contents to patron, organizing online streaming programs and connecting patrons/citizens to accurate and reliable data on COVID-19 cases around the world. The study further revealed that these services are delivered frequently despite the low level of Nigerian libraries' preparedness for global pandemic. The study concluded that, Nigerian libraries, through their services, are potent weapon for promoting positive change, development, orientation, and re-orientation in the society. By creating COVID-19 awareness/sensitization (especially in rural areas), libraries are able to contribute significantly to the fight against the pandemic.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.167-174
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• 2022

In metaheuristic algorithms such as Genetic Algorithm (GA), initial population has a significant impact as it affects the time such algorithm takes to obtain an optimal solution to the given problem. In addition, it may influence the quality of the solution obtained. In the machine learning field, feature selection is an important process to attaining a good performance model; Genetic algorithm has been utilized for this purpose by scientists. However, the characteristics of Genetic algorithm, namely random initial population generation from a vector of feature elements, may influence solution and execution time. In this paper, the use of a statistical algorithm has been introduced (Chi2) for feature relevant checks where p-values of conditional independence were considered. Features with low p-values were discarded and subject relevant subset of features to Genetic Algorithm. This is to gain a level of certainty of the fitness of features randomly selected. An ensembled-based learning model for Hepatitis has been developed for Hepatitis C stage classification. 1385 samples were used using Egyptian-dataset obtained from UCI repository. The comparative evaluation confirms decreased in execution time and an increase in model performance accuracy from 56% to 63%.

• International Journal of Knowledge Content Development & Technology
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• v.12 no.2
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• pp.29-40
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• 2022

The study investigated the challenges of recruitment and selection process of librarians in federal university libraries in South-South, Nigeria. The study adopted a descriptive survey. The population of the study consists of 108 librarians. 95 copies of the questionnaire were filled and returned. The questionnaire was used in collecting data. The overall reliability of the instrument yielded 0.95 with the use of Cronbach Alpha Coefficient. Standard deviation and mean was used to generate the data that was gathered. The rating scale of 4 points was subjected to an estimation procedure using SPSS version 17.0. A mean score of 2.5 and above on any item was accepted. The findings revealed that the librarians identified the challenges to include ethnicity influence; favouritisms; recruitment based on godfatherism; dwindling budgetary allocation. The librarians also identified some of the strategies to include performance at interview as benchmark; equity and fairness as benchmark; recruitment should be done according to relevant discipline; and having channels for reporting cases of corruption during recruitment. Based on the above findings the study recommended among others that recruitment and selection of qualified librarians should be done according to the laid down procedures.

• Journal of Veterinary Science
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• v.24 no.1
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• pp.8.1-8.12
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• 2023

Background: Intestinal parasites in livestock cause huge economic setbacks. Moreover, these parasites can threaten human health when also present in companion animals. Objectives: The study examined the prevalence and burden of intestinal parasites among roaming/migrating animals (goats, sheep, cattle, and dogs) to provide insights into the risk of potential human parasitic infections. Methods: A total of 1,741 fecal samples from goats (n = 920), sheep (n = 335), cattle (n = 230) and dogs (n = 256) were obtained randomly across 18 local government areas in Edo State, Nigeria. The parasite samples were recovered and identified under a microscope. Molecular tools were used to identify Toxocara spp. Results: Eighteen different parasites were isolated. Among the different groups of parasites observed, nematodes occurred the most, followed by protozoans. Among nematodes, Haemonchus was most prevalent in goats (28.04%) and sheep (29.85%), while Strongyloides (10.86%) and Bunostomum (8.69%) were relatively high in cattle. Strongyloides (3.9%), hookworm (3.9%), and Toxocara (3.12%) were the predominant parasites in dogs. For protozoan parasites, Eimeria was most common in all 4 animal hosts. Several goats (2.39%) and sheep (2.38%) tested positive for Fasciola spp. Molecular analysis confirmed Toxocara canis in dogs for the first time in Nigeria. Conclusions: The major parasites recovered from these roaming/migrating animals have zoonotic potentials that can threaten human health.

• Fisheries and Aquatic Sciences
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• v.26 no.4
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• pp.256-267
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• 2023

The suitability of any fish species for successful aquaculture requires basic information on its reproduction and growth. This study investigated some facets of the reproductive biology of Synodontis shall (Mochokidae) from River Siluko in Nigeria. Fish samples were collected forth-nightly for a duration of fourteen (14) months-March 2015 to April, 2016 with the assistance of artisanal fishermen. Fishes were identified using taxonomic guides and standard techniques were used for determination of sex ratio, gonad maturation and fecundity. Linear regression method was used to define the correlation between fecundity and fish length, body weight and ovary weight. Results showed that sex ratio did not indicate a significant divergence (p > 0.05) from the 1 male to 1 female distribution ratio (1:1.41). Gonad morphology revealed paired gonads. Testes and ovaries were classified into four maturity stages: immature, resting, ripening and ripe. Gonadosomatic index ranged from 0.04 to 5.68 (males) and 0.03 to 20.19 (females). Absolute fecundity ranged from 1,014 to 4,520 eggs (mean = 2,592 eggs) and did not correlate significantly (p > 0.05) to ovary weight. This study has contributed to existing data on the biology of freshwater fish species in Nigeria and provided valuable information for fishery management tools in the conservation and utilization of this valuable freshwater fish species.

• The Korean Journal of Franchise Management
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• v.8 no.1
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• pp.5-18
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• 2017

Purpose - Although literature has established the relevance of entrepreneurial orientation(EO) in the performance of conventional firms, the constraining nature of franchise arrangement makes one wonders if the same relationship holds for companies operating under the business model. Research design, data, and methodology - Using Nigeria - a country with high potential for franchise growth - as a context, this study aims to explore the relevant entrepreneurial orientation skills exhibited by franchisees and show the extent to which these skills influence their business performance and intention to remain. 26 franchisees purposively selected from six local franchise brands in Nigeria were interviewed. Result and Conclusions - The three classic entrepreneurial orientation factors of innovativeness, proactiveness and risk-taking were found to have varying influence on franchisees' business outcomes. This study answers the calls for more in-depth understanding of the relationship between EO and firm performance generally and, franchise firm performance in particular. The value of this effort lies in the fact that it strengthens theory and updates literature on the subject. Based on the findings, specific recommendations are offered to help improve the practice of franchising in Nigeria.