Regional Cooperation in Marine Plastic Waste Cleanup in the South China Sea Region

This paper uses countries in the South China Sea Region (SCSR) as examples to study the level of regional cooperation in the marine plastic waste cleanup initiative. We designed a cooperation model to investigate the “cleanup system” from the Ocean Cleanup initiative to reduce marine plastic pollution. The non-cooperative game theory was applied to regional cooperation. The simulation results indicate that the plastic waste cleanup cooperation in the SCSR is related to the plastic trade network structure, the influence parameters of the Experience-Weighted Attraction learning model, and the economic effects. The results suggest that regional cooperation in the cleanup system in the SCSR is feasible, and it could create a significantly larger investment in the cleanup project than the current project attracts. Therefore, countries in the SCSR should adjust their laws and policies to make a good cooperative environment and to maximize the contribution to the marine plastic waste cleanup.

A Review: Genetics Algorithms in Bioinformatics Tools

Bioinformaticians study biological questions by analyzing molecular data with various programs and tools. Today, bioinformatics is used in large number of fields such as microbial genome applications, biotechnology, waste cleanup, Gene therapy, fingerprint and eye detection. The field of bioinformatics, is one of the most prominent areas that our need is increasing, and the demand for it is increasing day by day. Where dealing with this vital and biological information using advanced computer technologies to generate useful information and new discoveries. For this reason, vital bioinformatics is one of the domains that combines both interested and programming at the same time. It provides you with resources for self-learning, the most important information in the field of vital information, and asked questions of those wishing to learn this field. The term bioinformatics was first used in 1968 by Margret Dayhoff, which is a pioneer in this field, but its definition appeared for the first time in 1978. This science arose and developed in conjunction with the emergence and development of computers. It is also referred to as "computational biology."

A Systematic Review of Swarm Robots

Advances in robotics have paved the way for a novel approach of organizing large numbers of robots, otherwise referred to as multi-robots. Multi-robots can either be homogenous or heterogeneous. Nevertheless, a group of autonomous and relatively homogenous robots that interacts with one another as well as with their environment is referred to as swarm robots. Swarm robots are biologically inspired by natural swarms as found in animal societies such as birds and fishes as well as social insects such as honey bees, wasps, termites and ants. Hence, they exhibit certain properties which are similar to those found in these creatures such as aggregation, self-organization, foraging as well as flocking. Swarm robots work together to achieve a desired goal, which is usually too complex for a single robot to accomplish. They are typically characterized by simplicity of individuals, fault tolerance, autonomy, parallelism, high reliability, scalability as well as robustness. They can be used for mining, military, medical and agricultural activities. They can also be used for search and rescue missions, toxic waste cleanup, and for piling sandbags along coastlines in preparation for floods or hurricane. Nevertheless, swarm robots are plagued with the stigma of widespread, interference, uncertainty, safety and lack of reliable communication. Furthermore, studies in swarm robotics are practically limited to virtual reality simulations. Hence, the principles of swarm robotics are rarely applied to real-life problems. It is against this background that this study systematically explores swarm robots. This study reviewed eighty literatures relating to swarm robots. These literatures were obtained from journal articles, technical reports, books, and conference proceedings. The selection of these literatures was based on their relevance to the research problem. This study revealed that the application of swarm robots to real life problems would promote the development of systems that are robust, fault tolerant and scalable.

Mushroom Crop in Agricultural Waste Cleanup

The environment is a life support system and it significantly influences the living organisms and their genes. Decomposers and microorganisms play a major role in maintaining the sustainability of the environment by converting toxic products into a mineralized form and maintaining the nutrient cycle. It is estimated that 62% of the 22 million tons of surplus rice straw is burnt in the field every year and contributes significantly to the black carbon emission from biomass burning. This alarming situation calls for a sustainable approach in crop residue management. Mushroom cultivation offers one such approach. Mushroom farms can act as disposal sites of agriculture residue and at the same time produce quality protein to meet the increasing protein demand. The macro fungi can play a major role in synthesis of non-toxic metal nano-particles from their salts and degradation of diverse crop residues through various enzymes present in them such as ligninases, cellulases, and laccases. Their role also extends to degrading the pesticides and persisting chemicals. This chapter explains the recent advances in mushrooms for effective crop residue utilization.