Abstract: Amino acid composition of the body parts of Macrobrachium vollenhovenii and Callinectes amnicola collected from Badagry creek were assessed and determined. Fifteen and twelve samples of M. vollenhovenii and C. amnicola respectively were used in the study. The weight of the prawns ranged from 4.09g- 17.50g while the crab ranged from 31.00g-119.82g. The prawns were separated into three (3) different parts which are the whole prawn, flesh and exoskeleton while the crabs were limited to the whole crab and the flesh. Chemical analysis was carried out following the modified method AOAC method 982.30, while the data obtained were analyzed using SPSS version 20.0. Eighteen amino acids were reported made up of ten (10) essential amino acids (EAA) and eight non-essential amino acids (NEAA). The EAA were arginine, histidine, isoleucine, leucine, lysine, methionine, phenylalanine, threonine, tryptophan and valine, while the NEAA were glycine, alanine, proline, aspartate, glutamate, tyrosine and cystine. The ratio of EAA: NEAA in M. vollenhovenii and C. amnicola was 1.25. There were significant differences (p=0.05) among the amino acids from the various parts analysed. Glutamate recorded the highest concentration while cystine recorded the lowest concentration in both crustaceans. Thus, these crustaceans probably play important roles in learning and sensitivity due to the concentration of glutamate which is a powerful excitatory neurotransmitter that is released by nerve cells in the brain. On the basis of nutrition and higher concentration of amino acids, M. vollenhoveni and C. amnicola are better sources of protein and can serves as substitutes for other proteinous food.

Abstract: Solid waste poses one of the greatest challenges facing developed and developing societies alike in its collection, transport and disposal, as it has a direct relationship with population and development. The objective of this research is to put investment theme in the field of recovery of resources and the establishment of industries revolving in the city of Baquba and the development of environmental, health, economic and social aspects of it. The research dealt with three topics, the first of which deals with the theoretical framework in terms of research problem and hypothesis. In Baquba. The third section dealt with a historical overview of solid waste and the definition of solid waste and the types of waste and their own identity and management of solid urban waste and factors affecting solid waste and methods of solid waste treatment put in the cities rate was selected as the model for the management of waste and economic development in the city of Baquba.

Abstract: Environment considers one of natural, social, cultural systems in which human and animals live in. They depend on its food, and they live with active case according to interaction principles. Ecology interested in organisms factors. It interests in organisms and its feeding and living ways. The social environment includes laws and systems in which organizes the internal relations between them and the activities by human inside the environment, this environment has negative and positive sides for the pollution is any change of desirable in its natural, chemical and Biological characteristics such as (air, water, soil, organisms) led to harm for human life or any element of environment. The research indicates the environment and pollution concept in travels books. Baghdad was a model for this study; so the research describes the city during it streets, weather and external roads with travel to Jeldiya and pagma started from Baghdad city to Tikrit then to Mosul.

Abstract: The financial situation of China’s basic endowment insurance fund has begun to deteriorate, and its deterioration trend will accelerate with the deepening of the aging population, so it is urgent to carry out a study on the early warning of the payment risk of this endowment insurance fund. This paper discusses the classification accuracies of C4.5 algorithm, Naive Bayesian algorithm and BP neural network in the warning of basic endowment insurance fund payment risk. It is found that C4.5 algorithm has the best classification effect, with an accuracy of 71.43%; BP neural network takes the second place, with an accuracy of 61.90%; Naive Bayesian algorithm has a poor effect, with an accuracy of 52.38%.

Abstract: Examination malpractice is becoming a widespread experience that there is likely no examination anywhere at all levels and outside the formal school system that is not marred with one form of sharp practice of examination malpractice or the other. It has become a great concern to Christian leadership in the educational sectors, leading to brainstorming on different approaches to curb the menace in institutions especially Christian faith based institution, It should be noted that schools in primary, post primary and higher colleges especially private-oriented institutions, usually have religious connotation, by both ownership and leadership at the establishment. Institutions that are Christian faith based provide considerable amount of time for religious instructions at school hours based on the principles and teaching of the Lord and Savior Jesus Christ, being discussed partly during students’ class time, mealtime, leisure hours, prep-time or sometimes organizes period of worship aimed at students’ orientation about spirituality, moral behaviors, relationships, and attitudes towards learning. However, there are certain issues that are not expected to be mentioned among believers, which are actually not to be mentioned in a Christian faith based institution that are gradually cropping and growing in Christian institutions-examination malpractices. Therefore, this paper looked at the holistic concept of examination practices from its moral and ethical perspective and proposing a transformational approach to curbing the practices in the Christian institution of learning.