Asian Journal of Advanced Research and Reports

Background: Rapid population growth of human and livestock create increasing demands for food, nutrition security in developing countries and therefore alternative feed resources must be identified and evaluated. This study was carried out to investigate the effects of Moringa oleifera leaf meal (MOLM) on supplemented feed on the growth and carcass quality of broilers in Calabar.

Methodology: Fresh leaves of Moringa oleifera were bought and collected from Calabar, Nigeria. The leaves were dried for four days and milled. A total of 40 broiler chicks that 48 day-olds, unsexed (rose 308) were sourced from a reputable poultry farm in Calabar. The broiler chicks were randomly allotted to four treatment groups (A, B, C and D). 0%, 5%, 10% and 15% of MOLM were incorporated into the broiler feed which constituted the four treatment groups. Each group was replicated ten times at 10 birds per replicate. The following parameters were taken including feed intake, weight gain, feed conversion ratio, mortality rate and carcass quality. Data were subjected to statistical analysis.

Results: The diet supplemented with 5% of MOLM showed significantly high body weight and followed by 10% of MOLM. Feed intake values were significantly (p<0.05) different across the treatment groups. The weight gain (WG) was statistically similar for group B and C but significantly (p<0.05) different in group D; with birds fed with 10% MOLM based diet having the highest WG. The feed conversion ratio of the birds were not significantly (p>0.05) different in group B and C, but differed significantly (P<0.05) in group D when compared with the control in group A. Carcass characteristics showed higher values of dressing percentage in birds fed supplemented with 10% MOLM (group C). The levels of MOLM were not significantly different in terms of liver weight, heart weight, kidney weight and abdominal fat.

Conclusion: Overall, the best significant improvement in the response indices were obtained in birds fed 10% MOLM, while there was a reduced performance of birds feed with 15% MOLM.

World economy has encountered money laundering phenomenon and its destructive effects on economy of countries over the last decades. Money laundry detection is one of the fields in which data mining tools can be very helpful in detecting it. Nowadays, recognizing credible customers to present banking facilities to them is of high importance. On the other hand, by increasing cheating in banking, detecting the fraud customers is also important. In this study, the decision tree was being trained by providing a fuzzy decision tree and users’ behavioral vectors. The output of fuzzy tree can signify users’ risking behaviors. Some features of customers’ accounts need to be extracted in order to identify the people with high risks. For instance, the variance of money transaction and money transfer can be done. In another part of the study, RFM (Recency, Frequency, Monetary) features and MLP (Multi-Layer Perception) classifications were used to identify the loyal customers. The three-fold features of refreshment, frequency, and shopping amount was completely discussed for every customer, whereby the customers’ scores were established as well. This classification aimed to categorize the credible users of neural networks. The results of current research indicate that the represented techniques possess high precision values, in comparison with previous techniques.

The study examined the knowledge of the use of new media tools and applications for the enhancement of information gathering and dissemination in the newsroom and the challenges faced in the integration of these tools in journalism practice, giving credence to peculiarities of the Nigerian situation. The study seeks to achieve the following objectives: to find out the challenges of news and information gathering in a digital age, to determine the knowledge level and operational skill of journalists use of the veritable tools such as apps and ICT facilities employed in the new media realm and also to enumerate ICTs challenges faced in order to engender support and vibrant journalism practice in Nigeria. The survey research method was adopted while the questionnaire was used as an instrument of data collection. Respondents showed a slightly above average knowledge level of podcasting and Google image uses (64%). However, there was little knowledge demonstrated in the uses of the wiki, dejero/bambuser etc (38% and 29% respectively). Also, challenges plaguing journalism practice in Nigeria include inadequate staff training, epileptic telecommunication network and internet server problem as a major problem (among others). This study, therefore, among others; recommends that the government provides the needed social infrastructures, which the media need to operate. In this sense, the government should improve on the power supply situation so that ICT facilities can function under the right environment and adequate training for right knowledge and use of technological applications used for attaining the standards of international media best practices.

The study expressed the statistical investigation in depth of penetration on mild steel cladding weld geometry. The use of analytical tools and analysis of variance (ANOVA) were use to investigate the statistical influence of the mild steel cladding weld process parameters that gives rise to the geometry of the mild steel material. The results portray and express the statistical effects, variations and models of the process parameters and the response parameter in the system the parameters used are significant, while the model developed has a significance value of 0.48%. Finally, the need for this research has shown the essence of statistical investigation and mathematical modeling for depth of penetration on mild steel cladding weld metal geometry which give solutions to the system and more appropriate suggestions that will influence the decision making on mild steel metal utilization.

Waste is an indispensable by-product of most human daily activity. Prevailing waste management strategy, especially in developing countries such as Nigeria, is far below standard, resulting in environmental contamination and pollution which hampers sustainability. This forms the crux of the research paper which entails ascertaining how Waste-to-Energy can serve as a circular economy tool towards climate mitigation that will ensure environmental sustainability. Key challenges relate to moving beyond the perception of ‘waste as a problem’ to ‘waste as a resource’. Ultimately, both waste prevention, as well as a widespread growth in circular economy activities, will require a coherent and holistic approach that takes recovery options into account at every stage of the product life cycle. To achieve this, the study explored the potentials inherent in Waste-to-Energy (WtE) as a tool. The work is qualitative and involves a synchronic evaluation of previous research works relevant to the study to ascertain the viability of WtE as a circular economic tool for scaling back adverse environmental impact. Integration of results with detailed clarifications of circular economy and climate mitigation indicates WtE as an index of sustainable development. The bottom ash from combustion operations serves as feedstock to the construction industry, hence closing a potential pollution loop. Therefore, Waste-to-Energy is ascertained a viable tool that supports the circular economy while coupling with progressive externalities of climate mitigation. Thus, the study recommends that WtE as a tool should be duly considered as a key feature of climate change policy in developing countries, especially in Nigeria.