e‐Maintenance Framework for Strategic Asset Management in Tertiary Institutions

Tertiary institutions require buildings such as its senate building, classrooms, laboratories, administrative rooms, hostels and other offices in order to function. Providing and maintaining these buildings require a lot of planning and capital investment. The study examined the prospects of using e‐ Maintenance platform for strategic asset management in tertiary institutions. This study noted that adequate maintenance of the building infrastructural base of tertiary institutions is crucial for sustainability in the face of dwindling funds in the education sector. In order to automate the e‐ Maintenance process for strategic maintenance of the institution’s building maintenance, a use case diagram, system block diagram, sequence diagram and activity diagram were designed and presented in this study. Three (3) main users are essential in the sequence of operation of the e‐Maintenance platform. These users represent the building occupants, the facility manager and the management personnel; for effective oversite and performance monitoring. The methodology of this research includes using the combination of HTML, CSS and the C‐Sharp programming language for the interface design and server side scripting while MySQL was the database platform used for storing and retrieving the data used for the application. In conclusion, the study developed an e‐Maintenance framework for strategic asset management in tertiary institutions. Keywords Asset management Automation Construction industr

Improving Employability Skills Through a Web-Based Work Integrated Learning Database for Construction Students

Employability and Unemployment continues to be dire issues that Nigerian youth are faced with daily in a saturated employment market. Whereas, the use of workintegrated learning can help bridge the gap by increasing employability skills among students. The study examined the benefits of having a work-integrated learning (WIL) program for students in the construction field. Therefore, the study developed a framework for improving employability skills through a web-based work integrated learning database for construction students. Using a system block diagram, use case diagram and activity diagram, the study illustrated the functional requirement needed for the development of the WIL platform. The WIL platform is a web-based system pooling submission of available WIL positions from employers in construction businesses and former WIL students in order for prospective WIL students to access possible openings where they can learn in a workplace environment. The methodology of this research includes using the combination of HTML, CSS and the C-Sharp programming language for the interface design and server side scripting while MySQL was the database platform used for storing and retrieving the data used for the application. In conclusion, the study designed a WIL platform for construction students. The use of the WIL platform is intended to encourage employability of construction students by ensuring that they are adequately engaged in a work place training

Parametric effects on leaching behavior of nickel-copper matte in ammonia

Abstract: Please refer to full text for abstrac

Assessing Image Classification Accuracy with Principal Component Analysis Algorithm Case Study: Odeda LGA of Ogun State, Southwest Nigeria

The aim of this study is to assess image classification accuracy using the instrumentality of Principal Component Analysis (PCA). It is focused on evaluating the accruable benefits of Principal Component Analysis as part of an image preprocessing procedure for image classification. Land use land cover (LULC) and accuracy assessment datasets were obtained with remote sensing and geographic information system’s software. The principal component analysis was statistically used to assess the level of correlation amongst bands in Landsat 8. The image classification was premised on the Maximum Likelihood classifier for land use land cover analysis. To ascertain the accuracy of the classified images, the Producer’s accuracy, User’s accuracy and Kappa coefficient derivatives of accuracy assessment was calculated. The results revealed that the first three PCs of the raw Landsat data accounted for 99.37 % variance of the original Landsat data, while the last three PCs represented only 0.63% of the original data. The results of land use land cover based on raw bands composite were Forest (41%), Shrubs (33%) and Built-up (26%) respectively. On the other hand, land use land cover based on Principal Component Analysis showed Forest (39%), Shrubs (39%) and Built-up (22%) respectively. Comparing the results of Kappa coefficients of both LULC of raw bands’ composite was 0.88 while that of PCA was 0.91. Conclusively, there is a significant level of difference in the classification outputs of PCA derived classification and that of raw Landsat bands’ composite

Assessment of Tree Species Diversity, Family Composition and Diameter Size Class of Tree Species in Igbo-Olua Sacred Groove, Ondo State, Nigeria

This study was carried out to assess the tree species diversity, family composition and diameter size distribution of the tree species in Igbo-Olua sacred groove, Ondo state, Nigeria using appropriate standard techniques. A total of 34 tree species distributed in 23 families were recorded.  Sterculiaceae family (66) had the highest number of individual stem per ha while Moraceae family had the highest number in terms of tree species per hectare (7). The distribution of the diameter structure is typical of the natural forest type with high number of tree species in the smaller size classes or interval (12.5) and the number of tree species decreases with increasing size class or interval. Diversity measures obtained included Shannon-Weiner index (3.09), Evenness (0.64) and Margalef index (6.36). Awakening the consciousness of people towards the protection of sacred groves has practical implications on their survival. Hence government and other allied institutions should gear efforts towards grove conservation

Time since faecal deposition influences mobilisation of culturable E. coli and intestinal enterococci from deer, goose and dairy cow faeces

Mobilisation is a term used to describe the supply of a pollutant from its environmental source, e.g., soil or faeces, into a hydrological transfer pathway. The overarching aim of this study was to determine, using a laboratory-based approach, whether faecal indicator bacteria (FIB) are hydrologically mobilised in different quantities from a typical agricultural, wildlife and wildfowl source, namely dairy cattle, red deer and greylag goose faeces. The mobilisation of FIB from fresh and ageing faeces under two contrasting temperatures was determined, with significant differences in the concentrations of both E. coli and intestinal enterococci lost from all faecal sources. FIB mobilisation from these faecal matrices followed the order of dairy cow > goose > deer (greatest to least, expressed as a proportion of the total FIB present). Significant changes in mobilisation rates from faecal sources over time were also recorded and this was influenced by the temperature at which the faecal material had aged over the course of the 12-day study. Characterising how indicators of waterborne pathogens are mobilised in the environment is of fundamental importance to inform models and risk assessments and develop effective strategies for reducing microbial pollution in catchment drainage waters and associated downstream impacts. Our findings add quantitative evidence to support the understanding of FIB mobilisation potential from three important faecal sources in the environment

Impact of Freeze-Thaw Cycles on Die-Off of E. coli and Intestinal Enterococci in Deer and Dairy Faeces: Implications for Landscape Contamination of Watercourses

Characterising faecal indicator organism (FIO) survival in the environment is important for informing land management and minimising public health risk to downstream water users. However, key gaps in knowledge include understanding how wildlife contribute to catchment-wide FIO sources and how FIO survival is affected by low environmental temperatures. The aim of this study was to quantify E. coli and intestinal enterococci die-off in dairy cow versus red deer faecal sources exposed to repeated freeze–thaw cycles under controlled laboratory conditions. Survival of FIOs in water exposed to freeze–thaw was also investigated to help interpret survival responses. Both E. coli and intestinal enterococci were capable of surviving sub-freezing conditions with the faeces from both animals able to sustain relatively high FIO concentrations, as indicated by modelling, and observations revealing persistence in excess of 11 days and in some cases confirmed beyond 22 days. Die-off responses of deer-derived FIOs in both faeces and water exposed to low temperatures provide much needed information to enable better accounting of the varied catchment sources of faecal pollution and results from this study help constrain the parameterisation of die-off coefficients to better inform more integrated modelling and decision-making for microbial water quality management

Persistence of E. coli in Streambed Sediment Contaminated with Faeces from Dairy Cows, Geese, and Deer: Legacy Risks to Environment and Health

Legacy stores of faecal pollution in streambed sediments can result in delayed impacts on environmental quality and human health if resuspended into the overlying water column. Different catchment sources of faecal pollution can contribute to a legacy store of microbial pollutants, with size of stores influenced by microbial die-off and faecal accrual rates in the streambed. The aim of this study was to use a mesocosm experiment to characterise the persistence of E. coli derived from faeces of dairy cows, deer, and geese once introduced to streambed sediment under different temperature regimes. The settling rate of solid constituents of faecal material into streambed sediment once delivered into an aquatic environment was also quantified. The persistence patterns of E. coli in streambed sediment were found to vary as a function of faecal source and temperature; die-off of E. coli in sediment contaminated with goose faeces was more rapid than in sediments contaminated with dairy cow or deer faeces. Goose faeces also recorded a more rapid settling rate of faecal particles through the water column relative to dairy cow and deer faeces, suggesting a more efficient delivery of E. coli to streambed sediments associated with this faecal source. Our findings provide new evidence to improve understanding of the potential longer-term risks to both the environment and public health posed by sediments when contaminated with livestock, wildlife, and wildfowl faeces

Evaluation and potential of Double Immunodifusion Gel Assay for serological characterization of rice yellow mottle virus isolates in West Africa

Rice yellow mottle virus is not only highly infectious to rice plants but also a highly variable pathogen. Forty-two isolates were obtained from five countries in West Africa. Utilizing 26 polyclonal antisera, the serological diversity of these isolates was determined using Double Immunodifusion Gel Assay. All the antisera were classified into three serogroups, PSg-1a, PSg-1b and PSg-2. Antisera belonging to PSg- 1a, PSg-1b and PSg-2 serogroups had diagnostic potential of 86-90%, 69-76% and 52-64%, respectively, for the 42 RYMV isolates analyzed using a dilution of up 1:200. Moreover, all isolates were separated into three serogroups, Sg-1a, Sg-1b and Sg-2. The first two groups are widely distributed across West Africa. The high diagnostic potential exhibited by the 26 RYMV polyclonal antisera indicates that Double Immunodifusion Gel Assay is useful and reliable for diagnosing RYMV. As the use of ELISA (Enzyme-Linked Immunosorbent Assay) is expensive and unavailable in most of the national agricultural research institute in West Africa, they can adopt Double Immunodifusion Gel Assay for the identification and characterization of Rice yellow mottle virus isolates. This is the first phylogenetic analysis report on the use of Double Immunodifusion Gel Assay to characterize Rice yellow mottle virus isolates in West Africa

Assessment of Physicochemical Parameters and Heavy Metals in Sagamu Abattoir Waste Water Ogun State, Nigeria

Abattoir wastewater is a great threat to environmental safety. This study was aimed at assessing the physiochemical constituents using standard methods and some heavy metals using Agilent Microwave Atomic Emission Spectrometer (MP-AES) 4200 model after sample digestion of wastewater from three (3) major abattoirs in Sagamu, Ogun State, Nigeria. The sample was digested using a mixture of nitric acid, hydrochloric acid and hydrogen peroxide. The digested samples were then analyzed for heavy metals. Data from the physicochemical characterization show that pH, TS, TDS, TSS and COD ranged from; (5.8 – 6.2), (11500 – 27733.33), (5500 – 9066.67), (6000 – 18666.67), and (1507.67 – 3671) respectively. The assessed heavy metals are in the range (mg/L): Zn (0.132-0.337), Cu (0.091 – 0.516), Mn (0.410 – 0.994), Fe (5.294 – 15.44), V (0.132 – 0.32), Cd (0.036 – 0.119), Ni (0.029 – 0.17), Pb (0.136 – 0.234), Cr (0.299 – 1.277), and Co (0.015 – 0.079). Zn, Cu and Fe are essential metals within tolerable limits except Mn that exceeded the limits of World Health Organization (0.04 mg/L) but below Federal Ministry of Environment (5 mg/L) while Ni, Pb and Chromium are above permissible limits in all samples.  The pretreatment of the wastewater before discharging into environment is highly recommended and more research should be done on remediation to reduce the abattoir wastewater heavy metals concentration and the effect it is having on the ecosystem and the environment at large