In this study, attempt was made to model gas production process from an anaerobic digestion of sewage sludge in a treatment plant. Apart from the issue of environmental cleanup this process of sewage treatment offers, it has become a viable tool to solving energy problems that exist in many parts of the world. Nigeria has much wastewater and this constitutes environmental pollution when channelled to the freshwaters body. Some wastewater; domestic and industrial, has to be treated before channelling them into waterways and in doing this, biogas can be tapped from the system if anaerobic digesters are designed and incorporated into the treatment plants. In this study, this process of biogas production was modelled to ascertain the amount of energy that can be recovered from wastewater treatment plant, for economic usage in the operation of the treatment plant and municipal consumption. To achieve this objective, equation was derived and its application yielded a positive result. Results from two different experimental reactors, reactors 1 and 2 (see Table 4.2 above) were used in comparison with the model reactors to investigate performance of the model. Figure 4.1 shows the gas yield for the different reactors investigated. Statistical analysis of the overall results shows that model reactor 1 has a coefficient of correlation (CORR) of 0.95, this demonstrate a good fit with the experimental results obtained from reactor 1. However, a mean absolute percentage error (MAPE) and root mean square error (RMSE) of 2.15 and 7.49 respectively, was recorded during this process. These values indicate a significantly low error of estimates and shows that the model is reliable.Similarly, model reactor 2 gave a CORR of 0.96 with errors of estimate (MAPE) of 1.34 and RMSE OF 3.12. Meanwhile, it can be observed that both experimental reactor 1 and 2 have a slightly higher values of gas yield than their corresponding model reactors. This trend is rather good in relation to safety in gas production estimate using the model. An overestimating model would be misleading and give a false data when such is needed for energy generation design and operation. . The biogas yield obtained were used to power a micro gas turbine in order to determine electrical energy output from the system, a process that have now been commercialized for economic benefits. Equation 3.24 was derived and its consequent solution, equation 3.27 was used for that purpose. Figure 4.6 shows the energy output for experimental reactor 1. The result obtained shows a close fit between the turbine output and the model output. Precisely, a CORR value of 0.96 was obtained with a small error of estimate of 2.34 and 8.00 respectively for MAPE and RMSE. Similarly, figure 4.7 shows energy output for experimental reactor 2. In this, the coefficient of correlation was found to be 0.94 with MAPE and RMSE being 2.15 and 3.55 respectively. Figure 4.8 and 4.9 shows the energy output for model reactors 1 and 2 respectively. The CORR, MAPE and RMSE were 0.95, 3.78 and 5.51 respectively for model reactor 1 while a similar value of 0.97, 1.73 and 5.02 were recorded for model reactor 2 respectively. In all, a very good correlation values was obtained to show that energy generation from treatment plant can be modelled given the biogas yield data. It should be noted that turbine plant operational mechanism may vary slightly depending on their capacities; consequently, an updated recalibration of the model would be necessary.
Molecular Characterization of Hepatitis C Virus Strain Circulated In Chronically Infected Patients in Abidjan (Cote-D’ivoire) (Published)
Viral hepatitis C (HCV) is a public health problem. The therapeutic management and in particular the duration of treatment depends on the viral genotype. HCV is poorly documented in the population and there are few data on the different genotypes and subtypes of HCV circulating in Côte d’Ivoire. In this context, the main objective of this study was to study the genetic variability of the HCV virus in infected patients in Abidjan. We conducted a cross-sectional study at CIRBA from June 2015 to June 2017 which included adult patients with a Viral Load > 1000 IU/mL. HCV genotyping was performed by amplification of the NS5B region followed by sequencing with an ABI 3130 sequencer (Applied Biosystems, Courtaboeuf, France). Phylogenetic trees were produced using MEGA 7 software and genotypes were confirmed using online software (http://hcv.geno2pheno.org). In this study 94 subjects were included. The genotypes encountered were genotypes 1, 2 and 4 with a prevalence of 46%, 52% and 2% respectively. These strains were divided into 17 subtypes genotype 1 : 6 subtypes 1a, 1b, 1c, 1d, 1i, 1k, genotype 2 : 9 subtypes 2a, 2b, 2c, 2c/k, 2f, 2j, 2k, 2l, 2r and 2 subtypes 4f and 4r for genotype 4. The study allowed the implementation of a genotyping technique and monitoring showed that genotypes 1 and 2 are predominant in Côte d’Ivoire. The circulation of genotype 4 is noted.
This study aims to find out the anaerobic processes in septic tank as a wastewater treatment plant. Samples were collected from both a septic tank and soakaway pit. Thus, after the collection of samples from the location, waste water analysis was conducted on the two water samples A and B respectively. The results obtained on the water samples showed that sample A under physical analysis using thermometer, pH meter, conductivity meter etc, has a higher physical characteristics value according to table 4.1, than that of sample B. more also from the chemical analysis seen in table 4.1 sample A has a higher BOD, COD and DO values more than that of sample B. Therefore this suggests that biological treatment processes was efficient in that septic tank and as such waste water discharged to the environment, will be harmless to the inhabitants in that environment.
Presented and discussed in this paper is the use of dummy variable multiple regression techniques in the analysis of samples drawn from several related or dependent populations ordinarily appropriate for random effects and mixed effects two factor analysis of variances model with one observation per-cell or treatment combinations. Using the extra sum of squares principle the method develops necessary sums of squares, degrees of freedom and the F-ratios required test to the significance of factor level effects thereby helping resolve the problem of one observation per treatment combination, encountered in the usual two factor analysis of variance models with one observation per cell. The method provides estimates of the overall and factor mean effects comparable to those obtained with the two factor analysis of variance methods. In addition, the method also provides estimates of the total or absolute effects as well as the direct and indirect effects of the independent variables or factors on the dependent or criterion variable which are not ordinarily obtainable with the usual analysis of variance techniques. The proposed method is illustrated with some sample data and shown to compare favourably with the usual Friedman’s two-way analysis of variance test by ranks often used for the same purpose.
The Treatment of Cultural Content in an Integrated English Course 1 for Chinese College English Majors (Published)
This paper presents a cultural analysis of the textbook “An Integrated English Course 1” that is widely used by college English majors in China. Based on the previous studies on culture teaching and materials evaluation, the paper has examined the textbook and found out that it is aimed at introducing western cultures, especially American culture to Chinese students. Although the textbook has a strong orientation towards American culture in the selecting of texts, it takes an intercultural point of view in the designing of some activities and exercises. The paper emphasizes the intercultural approach to textbook writing and EFL teaching.
Nature of Language, Speech and Communication Disorders (Review Completed - Accepted)
Speech, language and communication disorders are most common form of disorder among children in the world. The speech and language disorders are classified as expressive language disorder, phonological disorder, and communication disorder not-otherwise-specified (DSM-IV), mixed receptive-expressive language disorder and stuttering. Each category of speech and language impairment is prevalent among children from 5-15%. These disorders are mainly heritable and thus their genetic factor plays an important role in influencing these disorders. Genetic basis behind this defect is studied thoroughly in this review. Literature findings have showed that the main genes responsible for speech and language disorders are FOXP1 and FOXP2 genes which are identified through genome study linkages and genomic screening. Further research is required to UN reveal the biological pathways behind this deficit and to improve the treatment methods. Though various genetic factors play a vital role, other environmental factors also influences the speech and language disorders. The environmental factors must be considered importantly during childhood who already has genetic risk disorder. The important environmental influences related to children’s success or failures in reading are mainly educational experiences and home environment. Children’s literacy is mainly gained through the effect of home environment and through their oral language skills and reading comprehension ability when compared to accurate reading. Children who have such disorders must receive assistance from the speech-language pathologist. Speech-language pathologists work with children, families and schools to assist a child’s communication. This therapy can be useful to children all through their educational trajectory for the understanding of language, vocabulary and reading which is more complex. Their transition must be from learning to employment along with the children.