Books published by Nova Science Publishers Inc

The inevitable convergence of the Blockchain, AI and IoT (Veuger 2019) will be an impactful combination of security, interconnectivity and autonomy to revolutionize the way processes run. A combination of Blockchain, AI and IoT technologies that affect the potential of how businesses, industries and even economies operate will redefine them more than they do now. Some applications and concepts have already seen an overlap between these technologies with promising results. One example is the combination of AI and Blockchain to manage Unmanned Aerial/Air/Airborne Vehicle traffic, making mass autonomous flying safer. This application alone will redefine the business of aviation and logistics. The convergence of Blockchain, Ai and IoT can enable organizations to maximize the benefits of each of these technologies while minimizing the risks and constraints associated with them. Since IoT networks include a large number of connected devices, there are numerous vulnerabilities in the network that make the network vulnerable to hacker attacks, fraud, and theft. To prevent security problems, AI powered by machine learning can proactively defend against malware and hacker attacks. Network and data security can be further enhanced through a blockchain that can minimize illegal access to and alteration of data on the network. AI can also improve the functional capacity of the IoT network by making it more autonomous and smarter. For example, a proven convergence of Blockchain, AI and IoT is Fujitsu''s algorithm to measure employee heat stress levels. The algorithm continuously monitors workers'' physiological data (temperature, humidity, activity levels, pulse rate, etc.) using portable In Vitro Diagnostic Devices (IDA) and sensors to track the correlation between various factors and workers'' health. The analysis can help the organization to improve working conditions and prevent health problems of workers. Applying Blockchain to this system can help maintain more personalized data by ensuring privacy or help pay health insurance amounts through smart contracts. The expected impact of the convergence of Blockchain, AI and IoT is not (yet) foreseeable and existing applications are not (yet) perfect. Many organizations, and especially early adopters, are high opinionated about the value of cognitive technologies and therefore invest in them. Findings of applications are now (still) at an early stage and are not yet as advanced as is necessary to achieve real transformation, as well as that business models also determine this. The same can be said of the IoT and Blockchain. With increased interest, investment and innovation, the convergence of Blockchain, AI and IoT will become a reality.

The last decade has witnessed various technological advances in life sciences, especially high throughput technologies. These technologies provide a way to perform parallel scientific studies in a very short period of time with low cost. High throughput techniques, mainly, next generation sequencing, microarray and mass spectrometry, have strengthened the omics vision in the last decades (study of complete system) and now resulted in well-developed branches of omics i.e., genomics, transcriptomics, proteomics and metabolomics, which deal with almost every level of central dogma of life. Practice of high throughput techniques throughout the world with different aims and objectives resulted in a voluminous data, which required computational applications, i.e., database, algorithm and software to store, process and get biological interpretation from primary raw data. Researchers from different fields are looking to analyze these raw data for different purposes, but lacking of proper information and knowledge in proper documented form creates different kinds of hurdles and raises the challenges. This book contains thirteen chapters that deal with different computational biology/bioinformatics resources and concepts which are already in practice by the scientific community or can be utilized to handle various aspects of different classes of omics data. It includes different computational concepts, algorithm, resources and recent trends belonging to the four major branches of omics (i.e., genomics, transcriptomics, proteomics and metabolomics), including integrative omics. It will help all scholars who are working in any branch of computational omics and bioinformatics field as well as those who would like to perform research at a systemic biology through computational approaches.

Federal nutrition guidelines provide broad guidance for healthy populations, but do not focus on the varying nutritional needs of older adults. Chapter 1 examines (1) the relationship of older adults'' nutrition to health outcomes and the extent to which federal nutrition guidelines address older adults'' nutritional needs, (2) nutrition requirements in federal nutrition assistance programs serving older adults and how these requirements are overseen, and (3) challenges program providers face in meeting older adults'' nutritional needs. The U.S. Department of Agriculture (USDA) and Food and Drug Administration (FDA) have taken steps to address consumer confusion about date labels on packaged foods. For example, to reduce confusion about introductory phrases on date labels, such as whether the dates indicate food is safe to eat, and resulting food waste, USDA in December 2016 issued a fact sheet on date labels for consumers. Chapter 2 describes the steps USDA and FDA have taken to address consumer confusion about date labels and examines the extent to which USDA and FDA have coordinated with each other and with nonfederal stakeholders on date labels. Chapter 3 reports on the challenges that exist to reducing food loss and waste (FLW) in the United States. Disease outbreaks from tainted food are an ongoing public health challenge. The Centers for Disease Control estimates that each year, one in six Americans, 48 million people, get sick from foodborne illnesses, 128,000 are hospitalized, and 3,000 die as reported in chapter 4.

In this book we have gathered recent research related to cancer and cancer treatment and care. We also present research on pharmacy in cancer treatment, a few papers on breast cancer, research on bone metastases, radiation therapy and some pilot programs on telemedicine in cancer care, prostate cancer screening in Guyana, cost analysis of metastatic non-small cell lung cancer in Canada and early oncology rehabilitation for lymphoma patients in Singapore. We hope this research will be of interest to our readers.

Advanced technologies in the contemporary society enable many social problems to be resolved. However, due to the imperfect nature of social relations in human society, these technologies are very often used against human security and public interest. One of the most obvious and dangerous expressions of such usage is the activity of terrorist organizations, which potentially threatens the very foundations of democracy and social security This book is a first attempt to analyse the current practice and future risks of high-tech psychological warfare waged by terrorists on a national and cross-border basis. An international team of authors from eleven countries assesses the quantitative and qualitative development of the psychological impact of terrorists on their target audiences, taking into account the wider context of global social, economic and political shifts and acute geopolitical contradictions. The book also presents new understandings on methods of countering the psychological impact of terrorists on modern society. These methods include a wide range of technical and social tools - from philosophical concepts and cultural theories to the use of artificial intelligence to prevent terrorism and ensure psychological security of society and its progressive democratic development. It should be clarified that the implementation of advanced technologies by terrorists in the broad sense of the word is based on the contradictory social role of these technologies today and in the foreseeable future.