bluuebunny/crossref_metadata_2025 huggingface dataset:
Neuro-Fuzzy Models and Applications
Authors: Mishra Sushruta , Sahoo Soumya , Mishra Brojo Kishore
Published: November 2018

The modern techniques of artificial intelligence have found application in almost all the fields of human knowledge. Among them, two important techniques of artificial intelligence, fuzzy systems (FS) and artificial neural networks (ANNs), have found many applications in various fields such as production, control systems, diagnostic, supervision, etc. They evolved and improved throughout the years to adapt arising needs and technological advancements. However, a great emphasis is given in the engineering field. The techniques of artificial intelligence based on fuzzy logic and neural networks are frequently applied together for solving engineering problems where the classic techniques do not supply an easy and accurate solution. Separately, each one of these techniques possesses advantages and disadvantages that, when mixed together, provide better results than the ones achieved with the use of each isolated technique. As ANNs and fuzzy systems have often been applied together, the concept of a fusion between them started to take shape. Neuro-fuzzy systems were born which utilize the advantages of both techniques. Such systems show two distinct ways of behavior. In a first phase, called learning phase, it behaves like neural networks that learn internal parameters off-line. Later, in the execution phase, it behaves like a fuzzy logic system. A neuro-fuzzy system is a fuzzy system that uses a learning algorithm derived from or inspired by neural network theory to determine its parameters (fuzzy sets and fuzzy rules) by processing data samples. Neural networks and fuzzy systems can be combined to join its advantages and to cure its individual illness. Neural networks introduce its computational characteristics of learning in the fuzzy systems and receive from them the interpretation and clarity of systems representation. Thus, the disadvantages of the fuzzy systems are compensated by the capacities of the neural networks. These techniques are complementary, which justifies its use together. This chapter deals with an analysis of neuro-fuzzy systems. Benefits of these systems are studied with its limitations too. Comparative analyses of various categories of neuro-fuzzy systems are discussed in detail. Apart from these, real-time applications of such systems are also presented.
Software Quality Measurement
Authors: Amara Dalila , Rabai Latifa Ben Arfa
Published: November 2018

Software measurement helps to quantify the quality and the effectiveness of software to find areas of improvement and to provide information needed to make appropriate decisions. In the recent studies, software metrics are widely used for quality assessment. These metrics are divided into two categories: syntactic and semantic. A literature review shows that syntactic ones are widely discussed and are generally used to measure software internal attributes like complexity. It also shows a lack of studies that focus on measuring external attributes like using internal ones. This chapter presents a thorough analysis of most quality measurement concepts. Moreover, it makes a comparative study of object-oriented syntactic metrics to identify their effectiveness for quality assessment and in which phase of the development process these metrics may be used. As reliability is an external attribute, it cannot be measured directly. In this chapter, the authors discuss how reliability can be measured using its correlation with syntactic metrics.
A Study on Risk Management in Financial Market
Authors: Das Smruti Rekha , Kuhoo  , Mishra Debahuti , Mallick Pradeep Kumar
Published: November 2018

The basic aim of risk management is to recognize, assess, and prioritize risk in order to assure that the uncertainty should not deviate from the intended purpose of the business goals. Risk can take place from various sources, which includes uncertainty in financial markets, recessions, inflation, interest rates, currency fluctuations, etc. Various methods used for this management of risk are faced with various decisions such as the market price, historical data, statistical methodologies, etc. For stock prices, the information derives from the historical data where the next price depends only upon the current price and some of the outside factors. Financial market is very risky to invest money, but the proper prediction with handling the risk will benefit a lot. Various types of risk in the financial market and the appropriate solutions to overcome the risk are analyzed in this study.
Addressing Security Issues and Standards in Internet of Things
Authors: Mishra Sushruta , Sahoo Soumya , Mishra Brojo Kishore
Published: November 2018

In the IoTs era, the short-range mobile transceivers will be implanted in a variety of daily requirements. In this chapter, a detail survey in several security and privacy concerns related to internet of things (IoTs) by defining some open challenges are discussed. The privacy and security implications of such an evolution should be carefully considered to the promising technology. The protection of data and privacy of users has been identified as one of the key challenges in the IoT. In this chapter, the authors present internet of things with architecture and design goals. They survey security and privacy concerns at different layers in IoTs. In addition, they identify several open issues related to the security and privacy that need to be addressed by research community to make a secure and trusted platform for the delivery of future internet of things. The authors also discuss applications of IoTs in real life. A novel approach based on cognitive IoT is presented, and a detailed study is undertaken. In the future, research on the IoTs will remain a hot issue.
Legitimizing Integral Theory in Academia
Authors: Clarke Veronika Bohac
Published: November 2018

This chapter is based on the analysis of experiences of graduate students and professors using Integral Theory (IT) as transdisciplinary research framework, at a Western Canadian mainstream university. The traditional disciplinary orthodoxies, which had presented a formidable challenge to the acceptance of IT in mainstream academia, are briefly described. For example, not having a single disciplinary home, Integral academics do not fit into the traditional roles and their associated benefits. This applies both to professors and to graduate students. Integral students must continue to defend their research and professors must defend Integral teaching. Nevertheless, research is strengthened by an Integral worldview and a more complex understanding of the world. The chapter concludes with a specific discussion of how IT is employed to investigate multiple contexts of complex problems.
An Integral Analysis of Bahamian Adolescents and Their Perspectives About a Future After High School
Authors: Kellock M. Kathleen
Published: November 2018

Adolescents in high school are faced with many opportunities and challenges, which may direct their future path towards higher education and career development. The future orientation among Bahamian adolescents was looked at from an integral lens. The beliefs and goals Bahamian adolescents had for their future were explored and included present actions and plans students proposed to realize these goals. Further, the expectations adolescents perceived others had for them and the perceptions they held for themselves, including outside influences and systems that impact adolescents' implementation and realization of their goals were identified. The use of Wilber's integral methodological pluralism, supported by mixed methods research, gathered phenomenological, hermeneutical, and empirical data from members of the school and the community involved in a private high school in the Commonwealth of The Bahamas. Studies on future orientation with adolescents in other countries provided a comparison for and offered additional insight into the phenomenon of college and career readiness.
Cultivating Compassion in an Upper Elementary School Classroom Community
Authors: Tebay Garette
Published: November 2018

This chapter explored the notion that compassionate behaviors can be learned or cultivated among elementary school students through mindfulness practice in the classroom. Integral theory served as the conceptual framework for the research questions, the methodology, and the analysis. The investigation thus unfolded as a narrative inquiry using a mixed methods approach and informed by integral methodological pluralism to relate the story of one classroom. Increased self-awareness, happiness, and calm were observed in the students and teacher alike as a result of mindfulness practice. The integral analysis determined that these positive effects were persistent for all involved and pointed to the potential benefits of adopting mindfulness practice at the system level.
The Development of Creativity
Authors: Laycraft Krystyna Czeslawa
Published: November 2018

The purpose of this chapter was to investigate creativity in adolescents and young adults and its role in psychological development. For this qualitative research, hermeneutic phenomenology/ontology linked with the narrative/biography methodology was chosen. To interpret the data, the pattern models of creativity were generated, by applying the concepts of complexity science, especially self-organization, with the theory of positive disintegration and the psycho-evolutionary theory of emotions. It was discovered that the process of creativity in young people is intertwined with the strong emotions of passion, curiosity, enthusiasm, and delight. These emotions are the driving forces that generate order and complexity not only in the creative process but also in overall psychological development. The presence of these strong emotions often contributes to lesser tension in young people's development, including a greater ability to integrate their experiences, to take their psychological development into their own hands, and to find direction for their future.
Reimagining Sustainability Leadership
Authors: Robinson Justin
Published: November 2018

This research explored how the stakeholders of Integral Without Borders (IWB)—an international think tank and NGO focused on applying integral metatheory to sustainable development—might reimagine sustainability leadership to increase their collective capacity for wise and transforming action in the world. Applying an integral action research methodology in the context of an action research engagement model, eight individual interviews, two focus groups, and an open space lab were conducted with participation from an international cohort of IWB's stakeholders. The study identified fertile territories from which the possibility space for sustainability leadership might be expanded, specifically “four Rs” of integral transformation praxis: (1) revive, (2) reidentify, (3) recode, and (4) reconfigure. Recommendations relevant to IWB's specific leadership goals and development as an organization were also proposed.
The Story of Ice
Authors: Gutierrez Joseph A. , Bursztyn Natalie
Published: November 2018

Increasing enrollment and costs in introductory geoscience classes are making the logistics of organizing on-location field trips challenging; but with modern technology, virtual field trips (VFTs) can provide a proxy. Students entering college today are digital natives with short attention spans, suggesting they would find a VFT appealing and easy to navigate. While not a replacement for an actual field trip, VTFs offer interactive alternatives to traditional lectures, and several have been successful in engaging and educating students. This proposed VFT utilizes the iconic geology of Yosemite National Park to teach the effects of climate change at geologic and anthropogenic timescales. The story is told along Yosemite's four roads and is designed for use as a roadside geology accompaniment in the park, or as a standalone interactive tool in the classroom. VFT stops narrate the geologic history of the area and use photos with illustrated overlays to further describe concepts.
Disrupting Learning of Statistics
Authors: Ganendran Lucia-Marie
Published: November 2018

Saudi Arabia, with its deeply conservative yet rapidly changing society, has adopted an ambitious blueprint for the future in Vision 2030. One of its goals is to increase women's participation in the workforce from 22% to 30%. This case study focused on Saudi female undergraduates undertaking an introductory statistics course. With an emphasis on disruption and smart learning, the author created interventions and tracked changes in attitudes and perceptions of students towards statistics from the beginning to the end of the course. Reusable online resources in the form of a series of content and problem-solving videos were introduced as the semester progressed. At the same time, an appreciative inquiry approach was used to foster a positive change environment. An online forum was created to encourage student discussion and feedback throughout the semester, and anonymous course evaluations were conducted at the end of course. Qualitative and quantitative results are presented here.
Infusing 21st Century Skills in a Smart Learning Environment for Secondary Mathematics Classrooms
Authors: Warner Steve Carlisle
Published: November 2018

The main objective of this chapter is to demonstrate how an instructional model, 2T2C, was used to infuse 21st century skills in the teaching of secondary school mathematics using a smart learning environment (SLE). It was imperative that cooperative and collaborating learning methodologies were included in the teaching model to ensure peer/teacher interaction to enhance student communication, the infusion of high-order thinking skills to guarantee that students can solve real-world problems and think at higher cognitive levels, the introduction of self-efficacy sessions to ensure that all students have the confidence and self-esteem to believe and have the self-assurance to solve mathematical real-world problems and take responsibility for their own learning, and the infusion of technology as a resource in the teaching and learning process: hence, 2T2C (thinking, technology, communication, and confidence). The scenarios presented highlighted the need for communication, high-level cognitive objectives, multiple evaluation practices, and thinking as key to the learning process.
Smart Lesson Planning Environments for Deeper Learning
Authors: Al-Furaih Suad Abdul Aziz
Published: November 2018

This chapter is related to pre-service teachers preparing to teach in Kuwait public schools. Pre-service teachers were enrolled in an instructional technology course related to how to integrate emerging technologies, especially Web 2.0 tools, in their teaching. This course emphasized the connection between theory and practice reinforcing the process of how pre-service teachers smartly think about using web tools as means to enable them to experience deeper thinking when creating their lesson plans. This deeper thinking process will prepare them to transfer their gained experience into their actual teaching field. A conceptual model combining 7P-ILD with ASSURE model aided the design of the smart lesson planning environment. This design enables pre-service teachers to create innovative lesson ideas in the cloud environment. The lesson ideas and tools that were used to engage deeper learning enabled pre-service teachers to share their ideas with a wider audience and at the same time allowed the wider audience to assimilate these ideas into their own lesson structures.
Wamda
Authors: Alawani Athra Sultan
Published: November 2018

Teachers' professional development programs need to be reconsidered to meet their expectations in the new digital era. Thus, there is need to consider the importance of offering mobile, informal, and social learning in the workplace through smart utilization of the emerging mobile technologies. This chapter introduces the features of an innovative mobile and social learning platform, which aims at improving teachers' performance in the UAE and the Arab world by promoting knowledge and skill through better integration of ICT in the teaching and learning process and better adoption of learner-centric learning. A smart mobile learning platform called “Wamda” is providing micro-courses that are relevant to the curriculum, experiential, and immersive. It is designed to utilize the power of mobile learning technologies, artificial intelligence techniques, and social networking approach. Through this chapter, the critical pedagogical and technical aspects of creating a smart mobile learning environment were elaborated and checked against a list of attributes of smart systems.
Big-Data-Based Techniques for Predictive Intelligence
Authors: Singh Dharmpal , Mishra Madhusmita , Sahana Sudipta
Published: November 2018

Big-data-analyzed finding patterns derive meaning and make decisions on data to produce responses to the world with intelligence. It is an emerging area used in business intelligence (BI) for competitive advantage to analyze the structured, semi-structured, and unstructured data stored in different formats. As the big data technology continues to evolve, businesses are turning to predictive intelligence to deepen the engagement to customers with optimization in processes to reduce the operational costs. Predictive intelligence uses sets of advanced technologies that enable organizations to use data stored in real time that move from a historical and descriptive view to a forward-looking perspective of data. The comparison and other security issue of this technology is covered in this book chapter. The combination of big data technology and predictive analytics is sometimes referred to as a never-ending process and has the possibility to deliver significant competitive advantage. This chapter provides an extensive review of literature on big data technologies and its usage in the predictive intelligence.
Big-Data-Based Architectures and Techniques
Authors: Behara Gopala Krishna
Published: November 2018

This chapter covers the essentials of big data analytics ecosystems primarily from the business and technology context. It delivers insight into key concepts and terminology that define the essence of big data and the promise it holds to deliver sophisticated business insights. The various characteristics that distinguish big data datasets are articulated. It also describes the conceptual and logical reference architecture to manage a huge volume of data generated by various data sources of an enterprise. It also covers drivers, opportunities, and benefits of big data analytics implementation applicable to the real world.
Quality Assurance Issues for Big Data Applications in Supply Chain Management
Authors: Pal Kamalendu
Published: November 2018

Heterogeneous data types, widely distributed data sources, huge data volumes, and large-scale business-alliance partners describe typical global supply chain operational environments. Mobile and wireless technologies are putting an extra layer of data source in this technology-enriched supply chain operation. This environment also needs to provide access to data anywhere, anytime to its end-users. This new type of data set originating from the global retail supply chain is commonly known as big data because of its huge volume, resulting from the velocity with which it arrives in the global retail business environment. Such environments empower and necessitate decision makers to act or react quicker to all decision tasks. Academics and practitioners are researching and building the next generation of big-data-based application software systems. This new generation of software applications is based on complex data analysis algorithms (i.e., on data that does not adhere to standard relational data models). The traditional software testing methods are insufficient for big-data-based applications. Testing big-data-based applications is one of the biggest challenges faced by modern software design and development communities because of lack of knowledge on what to test and how much data to test. Big-data-based applications developers have been facing a daunting task in defining the best strategies for structured and unstructured data validation, setting up an optimal test environment, and working with non-relational databases testing approaches. This chapter focuses on big-data-based software testing and quality-assurance-related issues in the context of Hadoop, an open source framework. It includes discussion about several challenges with respect to massively parallel data generation from multiple sources, testing methods for validation of pre-Hadoop processing, software application quality factors, and some of the software testing mechanisms for this new breed of applications
Improved Usability of IOT Devices in Healthcare Using Big Data Analysis
Authors: Kakulapati Vijayalakshmi , Mahender Reddy S.
Published: November 2018

Sensor data takes the microcontroller and sends it to doctors through the wi-fi network and provides real-time healthcare parameter monitoring. The clinician can analyze the sensor generated information. Patients provide their measures to the arrangement and identify their fitness status without human intervention. In this chapter, MapReduce algorithm is used to identify the patient health status. The controller is connected with the signal to alert the attendee about dissimilarity in sensor output data. If the situation is sever, an alert message is sent to the doctor through the IOT devices that can provide quick provisional medication to the ill person. The system improves usability of medical devices with less power consumption, simple setup, and high performance and response.
Learning-Aided IoT Set-Up for Home Surveillance Applications
Authors: Borah Jutika , Sarma Kandarpa Kumar , Gohain Pulak Jyoti
Published: November 2018

Of late, home surveillance systems have been enhanced considerably by resorting to increased use of automated systems. The automation aspect has reduced human intervention and made such systems reliable and efficient. With the proliferation of wireless devices, networking among the connected devices is leading to the formation of internet of things (IoT). This has made it essential that home surveillance systems be also automate using IoT. The decision support system (DSS) in such platforms necessitates that automation be extensive. It necessitates the use of learning-aided systems. This chapter reports the design of IoT-driven learning-aided system for home surveillance application.
Application of Predictive Intelligence in Water Quality Forecasting of the River Ganga Using Support Vector Machines
Authors: Bisht Anil Kumar , Singh Ravendra , Bhutiani Rakesh , Bhatt Ashutosh
Published: November 2018

Predicting the water quality of rivers has attracted a lot of researchers all around the globe. A precise prediction of river water quality may benefit the water management bodies. However, due to the complex relationship existing among various factors, the prediction is a challenging job. Here, the authors attempted to develop a model for forecasting or predicting the water quality of the river Ganga using application of predictive intelligence based on machine learning approach called support vector machine (SVM). The monthly data sets of five water quality parameters from 2001 to 2015 were taken from five sampling stations from Devprayag to Roorkee in the Uttarakhand state of India. The experiments are conducted in Python 2.7.13 language (Anaconda2 4.3.1) using the radial basis function (RBF) as a kernel for developing the non-linear SVM-based classifier as a model for water quality prediction. The results indicated a prediction performance of 96.66% for best parameter combination which proved the significance of predictive intelligence in water quality forecasting.
Burnout and Obesity in Middle and Upper Management in the Manufacturing Industry of Baja California
Authors: Velasquez Sharon Idali Macias , Baez-Lopez Yolanda Angelica , Maldonado-Macías Aidé Aracely , Limon-Romero Jorge , Tlapa Diego
Published: November 2018

Globally, companies are increasingly considering the importance of mental health in workers and their relationship with productivity, which has led to increased research on work stress, which showed that there is a relationship between stress related to work and health disorders, both physical and mental. This chapter addresses the analysis of two of the main consequences that a worker can develop when having work stress: burnout syndrome, measured by the Maslach burnout inventory general survey (MBI-GS) and obesity, through the body mass index (BMI). The study was carried out in 118 people who occupy middle and upper management of the manufacturing industry of Baja California, having as objective to find the relationship that exists between the two variables, using ordinal logistic regression, as well as to characterize the sample using mean difference and hypothesis testing. From this perspective, this chapter can serve as a guide to study the behavior of variables and propose organizational development strategies aimed at reducing and preventing these problems.
The Contribution of Neuroscience and Health Psychology to Macroergonomics
Authors: Serrano-Rosa Miguel Angel , Molins Francisco
Published: November 2018

When a work system is considered we must focus on people that are part of the system as an active agent that can participate and interact all along the working process. In this process, stress contributes to increasing the probability of diseases and accidents. Therefore, one of the main objectives, from a preventive perspective, is to reduce stress levels. Related to this, the characteristics of healthy organizations will be described as a model to promote health. The objective of this chapter is to offer a broad and multidisciplinary perspective of prevention risk in the workplace centered in the worker, taking the view of neuroscience and health psychology. For that purpose, stress interventions in the organizations and in the individuals will be outlined. Finally, this chapter would finish proposing a preventive intervention to improve healthier work environments, taking into account neurosciences and health psychology. This proposal will be based on improving lifestyle, education for health, and self-respect.
From “Yucky” to “Yummy”
Authors: Apostolidis Chrysostomos
Published: November 2018

Worldwide, a growing range of meat alternative products are being developed and introduced in the market, taking advantage of the increasing health and environmental concerns, technological advances, and the overall rising profile of meat-free diets. This chapter reviews market research and academic literature to identify the market drivers and barriers that will affect the future of new meat alternative products, from a business, consumer, and policy perspective. Key barriers discussed include lower perceived quality, increasing competition, unrealistic consumer expectations, and ineffective marketing strategies. On the other hand, raising the profile of meat alternatives, technological advances, and increasing interest from consumers, investors, and policymakers can support the market success of meat alternatives. The chapter concludes with a discussion on the way forward and the strategies and interventions that can lead to a stronger position of meat alternatives in the food market.
Health Benefits of Eating More Plant Foods and Less Meat
Authors: Marshall Patricia , Marinova Dora
Published: November 2018

The health benefits of eating more plant-based foods and less meat are scientifically proven. This chapter examines the evidence in relation to common health and medical conditions, such as cardiovascular diseases, type 2 diabetes, cancers, mental health, and dementia. It also analyzes the issues related to gastrointestinal health and diet in light of the presence of fiber and other plant materials. Although the environmental benefits of a plant-based diet are well-established, there are some concerns about the ability of such food choices to supply essential nutrients to the human body, such as protein, iron, vitamin B12, and Omega 3 fatty acids. They are discussed within the framework of a healthy diet. Some of the disadvantages of diets rich on animal proteins, such as heme iron, are highlighted with a warning that the consumption of lab-grown meat may carry similar risks. A balanced plant-rich diet seems a better and easier choice.
Nutritional Properties of Edible Insects
Authors: Żołnierczyk Anna K.
Published: November 2018

Insects are the biggest animal group on earth. They constitute as much as 80% of the animal kingdom. Over 2000 species of insects are consumed in Central and South America, Africa, Asia, Australia, and New Zealand. Currently almost 1 billion people on this planet suffer from hunger, and we must strive to increase the efficiency of food production. One of the possible solutions is to use insects as a source of food. An important advantage of insect production is the high environmental safety compared to conventional livestock. Conventional animal husbandry is responsible for at least 18% of total greenhouse gas emissions and large consumption of drinking water. A much smaller amount of water is used to produce insect meat and insects require far less feed. Production of insect protein requires much less land and energy than the more widely consumed forms of animal protein. The nutritional usefulness of edible insects varies depending on the species, on the stage of development of the insect and the method of breeding and feeding. Insects have a high nutritional value. They are a rich source of protein which includes all eight essential amino acids (phenylalanine, isoleucine, leucine, lysine, methionine, threonine, tryptophan, and valine). Edible insects contain on average 10-30% of fat in dry matter and they are good source of edible oil which contains more than 50% of polyunsaturated fatty acids (PUFA) desirable for nutritional and health reasons. The average energy value of edible insects is about 400-500 kcal/100g of dry matter. Insects also contain a variety of water soluble or lipophilic vitamins and minerals. Their consumption can build a well-balanced diet. Insects can be regarded as safe, if properly managed and consumed, but international food regulations are needed.
Market for Plant-Based Meat Alternatives
Authors: Thakur Anusha
Published: November 2018

Shifting consumer preferences towards meat alternatives can be attributed to the factors such as health and ecological benefits, as well as meat adulteration. Increasing consumer demand for better grade of meat alternatives is also expected to boost the market growth in the near future. Protein sources from maize, peas, rice, and chickpeas are anticipated to witness significant growth and new developments. Alternatives such as bean curd or wheat gluten are expected to be the beneficial source of protein and phosphorous. This can be attributed to the fact that 50 g of vital wheat gluten in combination with water produces 2 ounces of gluten in a solid form, which further comprises of nearly 38 g of protein in each serving. However, factors such as the higher cost of meat substitutes inhibit the market growth, particularly in developing economies, wherein the dietary awareness is expected to be lower. Further factors, related to gluten intolerance and soy allergy, are also anticipated to restrain the market growth. This chapter includes a market study of meat alternatives across the world based on analyzing, estimating, and forecasting for the 2015-2025 period. Market determinants of the meat alternatives market are also explored to analyze market drivers, restraints, challenges, opportunities, trends, and developments. The competitive landscape section includes information related to key market players with an overview of product portfolio and strategic initiatives.
Is There a Future for Cattle Farming?
Authors: Phillips Clive J. C. , Wilks Matti
Published: November 2018

Humans have relied on cattle for production of food and work, as a source of capital, for dung, for fuel, building, and many other uses, for a period of about 10000 years. As a result, cattle biomass is now approximately twice that of humans on the planet. However, in the face of diminishing natural resources for the expanding human population and evidence of livestock pollution, cattle farms are currently criticized widely for their inefficient use of resources, the poor cattle welfare in modern farming systems, and their impact on human health amongst other problems. This chapter explores the reasons why cattle farming may ultimately cease in response to these issues. The replacement of cattle on farms began in the industrial revolution, when traction engines superseded many cattle in field operations. However, the replacement of cattle as food products is only now beginning to accelerate. The acceptability of alternative milks is growing rapidly and that of alternatives to meat products is also increasing. However, the major advance in replacing bovine meat products is under development in the laboratory as cultured meat, grown from a biopsied muscle sample on an edible scaffold in a nutrient media. Significant investment has been made in the process, which is technically feasible but is currently too expensive. This chapter explores current concerns about cattle farming as well as current difficulties in the development of meat alternatives, such as plant-based and clean meat. Through this exploration, the authors examine the potential for cattle farming to survive in the wake of alternatives offered by advanced food technology. Given anticipated success in bringing suitable alternative products to the market, most of the functions of cattle in developed countries are likely to be replaced. The process in developing countries will be much slower. Nonetheless, the authors anticipate that ultimately—perhaps in the far future—food technology developments will end the reliance on traditional cattle farming practices.
Collective Awareness Raising Towards a Plant-Based Diet Through Social Networking Sites
Authors: Kalamus Weronika
Published: November 2018

This chapter proposes that social media networking, social media platforms, and the internet facilitate a dietary shift towards a plant-based diet. The rise in human consciousness in the past few decades finds an expression in the plant-based revolution and social media platforms render a suitable space to manifest the collective rising in consciousness and empower communities to implement change. By examining the “power vs. force” theory, the chapter discusses its possible impact and analyses how the growth of awareness disrupts the acceptance of meat production and consumption. The second part of the chapter investigates the natural implementation of the “see–feel–change” concept through which pro-vegan online communities instigate changes across nations and modify public demand altering the whole international market of consumers. An empirical reflection on the growth of veganism based on an exploratory survey concludes the chapter.
Leave No One Behind, Not Even the Animals
Authors: Nagy Alexis J. , Marinova Dora
Published: November 2018

The sustainability agenda is a modern-day exercise in global ethics. Why then is animal welfare an absent policy within the ethical framework? Why do we continue to see farm animals only as food-related commodities? In this chapter, these issues are explored using case studies to support the emotional complexities of animals as well as the recent legal developments in animal personhood rights. The purpose of this chapter is to establish a logical and ethical argument to push the animal welfare agenda forward within the sustainable development conversation and provide a useful tool for future policy frameworks. This chapter is comprised of a comparative research methodology with the objectives to analyze, compare and contrast secondary research, and use case studies to establish an argument for the inclusion of animal welfare as an independent thread of human rights and provide implications for new meat alternatives together with recommendations for government and policymakers.
QoS-Aware Green Communication Strategies for Optimal Utilization of Resources in 5G Networks
Authors: Prasad Ganesh , Mishra Deepak , Hossain Ashraf
Published: November 2018

With increase in demand of data traffic with no compromise on the underlying quality of service (QoS), the coexistence problem arises due to high electricity consumption by the network architecture which results in a huge CO2 emission and thereby causing various health hazards. Efficient utilization of the resources can reduce the cost of power consumption which will increase the economy-characteristics of the network. The resource consumption can be reduced under an intelligent technology-neutral policies which optimizes the deployment of the network architecture along with their transmit power paving the way for fifth generation (5G) in green wireless communications. On another front, the ultra-dense deployment of the small cells can increase the frequency reuse factor as well as help in reducing the energy consumption. This chapter designs the energy efficient networks while satisfying the underlying QoS by joint optimization of available resources depending on the interoperability challenges in terrestrial, underwater acoustic, and free space optical (FSO) communications.
Enhancing Mobile Data Offloading With In-Network Caching
Authors: Zhang Xu , Cao Yue , Peng Linyu , Li Junhuai
Published: November 2018

This chapter discusses the most recent solutions for accelerating mobile data delivery, focusing on the different issues for achieving this goal. These issues include the efficiency of mobile data offloading and in-network caching. By characterizing different offloading options from the aspect offloading efficiency, dynamically offloading cellular traffic onto cost-effective options is able to achieve great performance gains. On the other hand, with concerns on tightly coupled dependency on original data sources, mobile users could easily suffer from the scarcity of content object resources. Researchers further account for the possibility of decoupling content availability dependency from original content sources. And a key enabling factor could be the recently emerged technology (i.e., in-network caching) whereby the emerging information-centric networking (ICN) performs its critical functionalities. Coupling ICN with mobile cellular network could be an attractive solution in order to resolve the tension between the tremendous growth of mobile content traffic and backhaul bottleneck.
Nature-Based Solutions for Water Security and the Role of Education for Enhancing the Implementation of the 2030 Agenda
Authors: Csala Janos , Mwangi Jennifer Wanjiku
Published: November 2018

Water security is a central sustainable development challenge. Billions of people lack access to clean and reliable water, while global hydrological changes and increasingly common extreme weather events pose serious risks. However, current issues are mainly driven by unsustainable management and ensuing ecological degradation. Nature-based solutions restore, enhance and safeguard ecosystems that provide water for people and the rest of nature. They also buffer the impacts of natural hazards and provide other critical benefits. Global policy frameworks on sustainable development, disaster prevention, climate change, biodiversity, wetlands and desertification offer holistic objectives toward water security. Education and capacity development is one of their central connective tissues, and as a mean to enhance their implementation. In spite of this, major gaps remain that require novel approaches. This chapter explores these and discusses strategic considerations and innovative approaches that can leverage existing knowledge and foster context specific innovation for transformative solutions.
Building Sustainability Through Environmental Education
Authors: Pashollari Ediola
Published: November 2018

Education is an important informative tool used to maintain the prevailing values of a society. It is the best thing anyone can acquire; it is an asset, an act of attaining knowledge, developing sense of analyzing and perception in preparing oneself. Quality education is one of the 17 Global Goals that make up the 2030 Agenda for Sustainable Development. There are three types of education, namely formal, non-formal, and informal education. Vulnerable young people are often excluded from educational systems. Inclusive polices are needed to ensure access to education for poorest youth in cities and remote areas, youth affected with HIV, refugee youth, and migrant youth. This chapter explores education and sustainable development.
Addressing the Sustainable Development Goals Through Environmental Education
Authors: Stevenson Carolyn N.
Published: November 2018

The United Nations Sustainable Development Goal 4 Quality Education has increased awareness in pre-university environmental education efforts. Environmental education is important to not only creating awareness of world environmental issues, but taking action towards fostering positive change. Environmental education programs such as SeaTrust Institute's AWARE (Action Within a Resilient Environment) assist teens in learning about issues that directly impact their communities and their world. AWARE combines environmental education with hands-on experiential learning projects that help promote environmental awareness in their communities. Through education and experience with active scholars and professional practitioners, students gain an increased understanding of environmental challenges and ways to make a positive impact – both domestically and globally. This is especially critical to developing countries which lack the educational programs and resources to address the impact environmental changes have on their nations and communities.
When Things Fall Apart
Authors: Jones Christopher Burr
Published: November 2018

The chapter addresses the challenges facing first responders and public administrators due to accelerated warming, global weirding, and the limits to complexity. Similarly, these same challenges are also likely to have an impact on the ability of governments, international organizations, and non-governmental organizations to implement and realize the sustainable development goals and their 169 targets. The chapter focuses on the state of critical infrastructure, primarily in the USA, and the maintenance and sustainability of the physical systems of energy distribution, transportation, communication, and other basic services that support economic development and social systems. The chapter posits the need to explore these themes through the lens of futures studies and the need to envision and create preferred futures.
Resilience and Sustainability Development
Authors: Wilson Lynn A.
Published: November 2018

Informed action by the leaders of the future is critical for creating resilient communities. Preparing these future leaders through formal and informal education, research, and environmental/climate change programs that interweave local knowledge with the most current global science positions them to becomes the catalysts that propel community leaders to engage a wider range of possible futures. This chapter integrates findings from a SeaTrust Institute research project with the sustainable development goals in an analysis supporting dynamic and reconfigurable combinations of agents that promote the attributes of elasticity, future orientation, and motivation to address the high stakes choices for resilience to climate and environmental/social change. Author objectives in this chapter are to illustrate the optimum roles of youth in the process and what preparations and conditions are needed to instill and support youth in their ability to flip a process at the point of catastrophe to restore equilibrium and promote resilience.
Tools and Considerations to Develop the Blueprint for the Next Generation of Clinical Care Technology
Authors: Riha Chris Daniel
Published: November 2018

This article provides a brief historical look at the genesis and evolution of clinical information systems. Based upon this historical background and the expertise of the authors, which encompasses, clinical, IT/cybersecurity, clinical engineering, as well as quality control expertise the article provides a roadmap for the next generation of clinical information systems. This next generation will not only provide consulting services to physicians via computer clinical decision support systems, but also the ability to perform autonomous and semi-autonomous care at the bedside via interfaces to medical devices (e.g. ventilators and infusion pumps), as well as auto ordering protocols.
Critical Barriers to Business Intelligence Open Source Software Adoption
Authors: Poba-Nzaou Placide , Uwizeyemungu Sylvestre , Saada Mariem
Published: November 2018

Over the past few years, managers have been hard pressed to become more data-driven, and one of the prerequisites in doing so is through the adoption of Business Intelligence (BI) tools. However (1) the adoption of BI tools remains relatively low (2) the acquisition costs of proprietary BI tools are relatively high and (3) the level of satisfaction with these BI tools remain low. Given the potential of open source BI (OSBI) tools, there is a need for analyzing barriers that prevent organizations from adopting OSBI. Drawing a systematic review and a Qualitative Survey of BI Experts, this study proposes a framework that categorizes and structures 23 barriers to OSBI adoption by organizations including 4 that were identified by BI Experts but not explicitly found in the literature. This paper contributes to OSS and Information Systems (IS) research literature on BI adoption in general and provides specific insights to practitioners.
3PM Revisited
Authors: Ooms Richard , Spruit Marco R. , Overbeek Sietse
Published: November 2018

This article revisits the Three Phases Method (3PM) which was published in 2010 in this journal. The 3PM is aimed at outsourcing data mining to improve corporate performance. This follow-up work aims to provide more insight into the 3PM by describing every phase of the method in detail as Meta-Algorithmic Models, through descriptions of the activities and concepts of the method and visualising the process and deliverables in Process Deliverable Diagram notation to simplify adoption of the method by practitioners.
On Being Earnest
Authors: Webster Thomas E.
Published: November 2018

Communicative practices in second language learning are underpinned by the assumption that they will enable students to apply lessons to real life circumstances outside the classroom. However, the disparity between the dearth of technology integration in tertiary English education in Korea and its central position in Korean society cannot be overstated. As found in one of the most recent studies by Webster (2011) on teachers' perceptions and uses of technology, teachers often lack motivation to make changes owing to a lack of reliable resources, training and professional development support. This article, therefore, provides the underpinning for a new theoretical approach to promoting a more culturally holistic engagement with technology at Korean universities and education in general.