{"title":"Towards an Intelligent Biomedical Engineering With Nature-Inspired Artificial Intelligence Techniques","authors":"Utku Kose","doi":"10.4018/978-1-5225-4769-3.CH001","DOIUrl":"https://doi.org/10.4018/978-1-5225-4769-3.CH001","url":null,"abstract":"Artificial intelligence has a remarkable effect on many different fields with its flexible and comprehensive solution approaches to solve real-world problems. In this context, the field of biomedical engineering has also been affected by employment of different artificial intelligence-based techniques. This chapter aims to give a theoretical discussion on using nature-inspired artificial intelligent techniques for obtaining intelligent applications within biomedical engineering. As it is known, techniques within the field of artificial intelligence are inspired from nature. So, it is a good approach to focus on nature-inspired techniques for discussing intelligent biomedical engineering research works. Readers will have a chance to understand some ways of using artificial intelligence for achieving better results in biomedical engineering and the related developments associated with this field.","PeriodicalId":93084,"journal":{"name":"Biotechnology (Faisalabad, Pakistan)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70433979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Sarigiannis, A. Gotti, E. Handakas, S. Karakitsios
{"title":"Informatics and Data Analytics to Support Exposome-Based Discovery","authors":"D. Sarigiannis, A. Gotti, E. Handakas, S. Karakitsios","doi":"10.4018/978-1-5225-8903-7.ch030","DOIUrl":"https://doi.org/10.4018/978-1-5225-8903-7.ch030","url":null,"abstract":"This chapter aims at outlining the current state of science in the field of computational exposure biology and in particular at demonstrating how the bioinformatics techniques and algorithms can be used to support the association between environmental exposures and human health and the deciphering of the molecular and metabolic pathways of induced toxicity related to environmental chemical stressors. Examples of the integrated bioinformatics analyses outlined herein are given concerning exposure to airborne chemical mixtures, to organic compounds frequently found in consumer goods, and to mixtures of organic chemicals and metals through multiple exposure pathways. Advanced bioinformatics are coupled with big data analytics to perform studies of exposome-wide associations with putative adverse health outcomes. In conclusion, the chapter gives the reader an outline of the available computational tools and paves the way towards the development of future comprehensive applications that are expected to support efficiently exposome research in the 21st century.","PeriodicalId":93084,"journal":{"name":"Biotechnology (Faisalabad, Pakistan)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70434654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stephen Rathinaraj Benjamin, F. D. de Lima, Ashok K. Rathoure
{"title":"Genetically Engineered Microorganisms for Bioremediation Processes","authors":"Stephen Rathinaraj Benjamin, F. D. de Lima, Ashok K. Rathoure","doi":"10.4018/978-1-5225-8903-7.ch067","DOIUrl":"https://doi.org/10.4018/978-1-5225-8903-7.ch067","url":null,"abstract":"In the past few decades, environmental pollution is a major issue which affects biodiversity public health and eco systems present in worldwide, nowadays, microbial potential are connected to effect the clean-up of environmental pollutants. Conventional methods are focus on the separation, rather than the destruction of contaminants, the use of genetically engineered microorganisms for bioremediation would be an alternative, environmentally friendly, more effectiveness and economical clean-up technique for the remediation of pollutants in present in contaminated sites. A combined strategies relationship between genetic engineered microbes and bioremediation can enhance the effectiveness of contaminants sites. Here, we have elaborated recent work on the investigation and improvement of these microbes using genetic tools and given an outlook of what may be possible in the near future.","PeriodicalId":93084,"journal":{"name":"Biotechnology (Faisalabad, Pakistan)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70434877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Innovation and Intellectual Property Rights","authors":"Mercedes Campi","doi":"10.4018/978-1-5225-8903-7.ch079","DOIUrl":"https://doi.org/10.4018/978-1-5225-8903-7.ch079","url":null,"abstract":"As a contribution to the open debate regarding the effect of Intellectual Property Rights (IPRs) on innovation, this chapter postulates that the adoption of strong IPRs is not a necessary condition to foster innovation in the plant breeding industry. The chapter studies the evolution of the soybean breeding industry in the US and Argentina and shows that regardless the level of intellectual property protection, if there is an attractive and profitable market, firms may search for different appropriability strategies rather than changing their innovative behavior. The chapter finds that the growth rates of new soybean varieties are similar in both countries and the adoption rate is faster in Argentina where the IPRs system is weaker.","PeriodicalId":93084,"journal":{"name":"Biotechnology (Faisalabad, Pakistan)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70435618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hydrocarbon Biodegradation Using Agro-Industrial Wastes as Co-Substrates","authors":"Abdullah M. El Mahdi, H. A. Aziz","doi":"10.4018/978-1-5225-2325-3.CH007","DOIUrl":"https://doi.org/10.4018/978-1-5225-2325-3.CH007","url":null,"abstract":"The diversity of agro industrial wastes makes them an attractive group of organic wastes for potential use in a wide variety of industrial and biotechnological applications. The new stimulating development in this current area of research approaches in combination with the technologies of large-scale production and biotechnology engineering, agro industrial wastes will be economically successful materials of the future. Increased public awareness of issues related to hydrocarbon pollution strongly influences the development of technologies that speed up cleaning hazardous contaminants. The cost of biodegradation technology and the low bioavailability including mass transfer limitations of hydrocarbons, especially those recalcitrant components, from various mediums into the aqueous phase for effective enzyme-based microbial biodegradation still constitute major challenges. Sustainable replacement of traditional microbiological media with agroindustrial wastes as substrates for biosurfactant production holds great potential; thereby decrease numerous management problems of handling industrial waste. These organic nitrogen-rich nutrients (biostimulation) are an effective means to enhance the bioremediation process and widely available as wastes in the environment; hence, they can serve as “natural waste-to-environmental clean-up.” However, current chapter have focused on the combined use of biosurfactants and enzymes produced from renewable resources such as agro-industrial waste, through assisted biostimulation and bioaugmentation, for hydrocarbon biodegradation.","PeriodicalId":93084,"journal":{"name":"Biotechnology (Faisalabad, Pakistan)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70431909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-Agent Systems in Three-Dimensional Protein Structure Prediction","authors":"L. Corrêa, M. Dorn","doi":"10.4018/978-1-5225-1756-6.CH011","DOIUrl":"https://doi.org/10.4018/978-1-5225-1756-6.CH011","url":null,"abstract":"Tertiary protein structure prediction in silico is currently a challenging problem in Structural Bioinformatics and can be classified according to the computational complexity theory as an NP-hard problem. Determining the 3-D structure of a protein is both experimentally expensive, and time-consuming. The agent-based paradigm has been shown a useful technique for the applications that have repetitive and time-consuming activities, knowledge share and management, such as integration of different knowledge sources and modeling of complex systems, supporting a great variety of domains. This chapter provides an integrated view and insights about the protein structure prediction area concerned to the usage, application and implementation of multi-agent systems to predict the protein structures or to support and coordinate the existing predictors, as well as it is advantages, issues, needs, and demands. It is noteworthy that there is a great need for works related to multi-agent and agent-based paradigms applied to the problem due to their excellent suitability to the problem.","PeriodicalId":93084,"journal":{"name":"Biotechnology (Faisalabad, Pakistan)","volume":"72 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70432187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Complex Biological Data Mining and Knowledge Discovery","authors":"Fatima Kabli","doi":"10.4018/978-1-5225-3004-6.CH016","DOIUrl":"https://doi.org/10.4018/978-1-5225-3004-6.CH016","url":null,"abstract":"The mass of data available on the Internet is rapidly increasing; the complexity of this data is discussed at the level of the multiplicity of information sources, formats, modals, and versions. Facing the complexity of biological data, such as the DNA sequences, protein sequences, and protein structures, the biologist cannot simply use the traditional techniques to analyze this type of data. The knowledge extraction process with data mining methods for the analysis and processing of biological complex data is considered a real scientific challenge in the search for systematically potential relationships without prior knowledge of the nature of these relationships. In this chapter, the authors discuss the Knowledge Discovery in Databases process (KDD) from the Biological Data. They specifically present a state of the art of the best known and most effective methods of data mining for analysis of the biological data and problems of bioinformatics related to data mining.","PeriodicalId":93084,"journal":{"name":"Biotechnology (Faisalabad, Pakistan)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70432646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Priyanka, Dileep Kumar, U. Shankar, Anurag Yadav, K. Yadav
{"title":"Agricultural Waste Management for Bioethanol Production","authors":"M. Priyanka, Dileep Kumar, U. Shankar, Anurag Yadav, K. Yadav","doi":"10.4018/978-1-5225-3540-9.CH001","DOIUrl":"https://doi.org/10.4018/978-1-5225-3540-9.CH001","url":null,"abstract":"This chapter contends that bioethanol has received the most attention over other fuels due to less emission of greenhouse gases and production from renewable sources. It is mainly produced from sugar containing feedstocks. Since feedstocks are utilized as food for humans, its consumption in bioethanol production creates a food crisis for the entire world. Bioethanol derived from agriculture waste, which is most abundant at global level, is the best option. Agriculture wastes contain lignin, cellulose and hemicelluloses which creates hindrances during conversion to ethanol. Pretreatment of agriculture wastes remove lignin, hemicelluloses and then enzymatically hydrolyzed into sugars. Both pentose and hexose sugars are fermented to bioethanol. There are still various problems for developing an economically feasible technology but a major one is the resistance to degradation of the agricultural material. Use of two or more pretreatment methods for delignification and the use of genetically modified agricultural biomass can be developed for economically feasible ethanol production.","PeriodicalId":93084,"journal":{"name":"Biotechnology (Faisalabad, Pakistan)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70433037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Information Needs and Assessment of Bioinformatics Students at the University of Swaziland","authors":"Satyabati Devi Sorokhaibam, N. N. Mathabela","doi":"10.4018/978-1-5225-8903-7.ch069","DOIUrl":"https://doi.org/10.4018/978-1-5225-8903-7.ch069","url":null,"abstract":"A survey was carried out of the information landscape within the students of Computer Science, Biology and Mathematics in the University of Swaziland which examined the research problems, important sources of information, the methods of access, information needs and seeking behavior of the users their assessment and the role of the Libraries since Librarian have to identify the information needs, uses and problems faced to meet the needs and requirement of the user. A total of 200 questionnaire were distributed. The survey indicated that majority of the students believe that the online resources play a very important role for their research and show positive attitude toward future bioinformatics usage and training. The study concluded that the training preferences of students need to be further explored.","PeriodicalId":93084,"journal":{"name":"Biotechnology (Faisalabad, Pakistan)","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70434939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Library Services for Bioinformatics","authors":"S. Ram","doi":"10.4018/978-1-5225-8903-7.ch050","DOIUrl":"https://doi.org/10.4018/978-1-5225-8903-7.ch050","url":null,"abstract":"Bioinformatics is an emerging data intensive discipline. The community and information resources and sources are heterogeneous. It is the role of library to provide a comprehensive platform to deliver effective information services to the community. The paper discusses the status of various bioinformatics information resources available for the community. It is essential to search, consolidate and made information resources available to the community. The paper also discusses the methodology for integration of information resources at a single platform. The integration platform is proposed shall highlight the role of the library in understanding the current best practices to deliver effective information to bioinformatics community. It will discuss the close relationship between data and information playing an extensive role in generation of bioinformatics knowledge. Further, a model has been proposed for the resource integration in the area of bioinformatics in order to provide a comprehensive platform for knowledge dissemination.","PeriodicalId":93084,"journal":{"name":"Biotechnology (Faisalabad, Pakistan)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70434973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}