Biosensors for Foodborne Pathogens Detection: A Rapid Detection Approach covers rapid and accurate measurement for biosensing analysis. This book is organized in a systematic way, covering basic introduction and advanced approaches in biosensing and their use in the detection of food pathogens. This compilation includes chapters such as Methods, techniques and latest developments in the detection of foodborne pathogens; Basic principles in Biosensors and bioelectronics for the foodborne pathogens; Various bio-recognition receptors used in the biosensors; Nanomaterials and signal amplification in biosensors for foodborne pathogens; electrochemical biosensors for foodborne pathogens; Optical biosensors for foodborne pathogens, and more. This book act as a comprehensive resource for researchers or scientists working in food safety, especially in microbial food spoilage detection using biosensors.

The world is approaching a point where big data will start to play a beneficial role in many industries and organizations. Today, analyzing data for new insights has become an everyday norm, increasing the need for data analysts to use efficient and appropriate tools to provide quick and valuable results to clients. Existing research in the field currently lacks a full coverage of all essential algorithms, leaving a knowledge void for practical implementation and code in Python with all needed libraries and links to datasets used. Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science serves as a one-stop book to help emerging data scientists gain hands-on skills needed through real-world data and completely up-to-date Python code. It covers all the technical details, from installing the needed software to importing libraries and using the latest data sets; deciding on the right model; training, testing, and evaluating the model; and including NumPy, Pandas, and matplotlib. With coverage on various machine learning algorithms like regression, linear and logical regression, classification, support vector machine (SVM), clustering, k-nearest neighbor, market basket analysis, Apriori, k-means clustering, and visualization using Seaborne, it is designed for academic researchers, undergraduate students, postgraduate students, executive education program leaders, and practitioners.

Natural Resources Conservation and Advances for Sustainability addresses the latest challenges associated with the management and conservation of natural resources. It presents interdisciplinary approaches to promote advances in solving these challenges. By examining what has already been done and analyzing it in the context of what still needs to be done, particularly in the context of latest technologies and sustainability, the book helps to identify ideal methods for natural resource management and conservation. Each chapter begins with a graphical abstract and presents complicated or detailed content in the form of figures or tables. In addition, the book compares the latest techniques with conventional techniques and troubleshoots conventional methods with modifications, making it a practical resource for researchers in environmental science and natural resource management.

Many static and behavior-based malware detection methods have been developed to address malware and other cyber threats. Even though these cybersecurity systems offer good outcomes in a large dataset, they lack reliability and robustness in terms of detection. There is a critical need for relevant research on enhancing AI-based cybersecurity solutions such as malware detection and malicious behavior identification. Malware Analysis and Intrusion Detection in Cyber-Physical Systems focuses on dynamic malware analysis and its time sequence output of observed activity, including advanced machine learning and AI-based malware detection and categorization tasks in real time. Covering topics such as intrusion detection systems, low-cost manufacturing, and surveillance robots, this premier reference source is essential for cyber security professionals, computer scientists, students and educators of higher education, researchers, and academicians.

Behavioral finance challenges the traditional assumption that individuals are rational by focusing on the cognitive and emotional aspects of finance, which draws on psychology, sociology, and biology to investigate true financial behavior. The financial sector requires sound understanding of market dynamics and strategic issues to meet future challenges in the field. Behavioral Finance and Decision-Making Models seeks to examine behavioral biases and their impact on investment decisions in order to develop better future plans and strategies in the financial sector. While highlighting topics including behavioral approach, financial regulation, and globalized sector, this book is intended for policymakers, technology developers, managers, government officials, academicians, researchers, and advanced-level students.

The financial system is the heart of an economy and payment systems are the nerves. As we shift towards a cashless economy, it is essential to understand the perception of customers towards digital transactions to design effective and viable E-Payment Systems (EPSs). Drawing on ten years of research in India and around the world, ‘The Sustainability of Financial Innovation in E-Payment Systems’ presents a timely and important model for the long-term viability of EPSs and gives real-world strategies for creating a positive, tangible economic impact. Academics, policy makers, commercial decision-makers, and researchers will find this volume indispensable as they seek to maximise the positive impacts of today’s rapid, ongoing changes.

The success of any organization is largely dependent on positive feedback and repeat business from patrons. By utilizing acquired marketing data, business professionals can more accurately assess practices, services, and products that their customers find appealing. The Handbook of Research on Intelligent Techniques and Modeling Applications in Marketing Analytics features innovative research and implementation practices of analytics in marketing research. Highlighting various techniques in acquiring and deciphering marketing data, this publication is a pivotal reference for professionals, managers, market researchers, and practitioners interested in the observation and utilization of data on marketing trends to promote positive business practices.

Next-generation supply chains revolve around smart manufacturing processes and personalized customization of products and services. For businesses to stay relevant in the market today, prioritizing customer satisfaction with speed and great service has become crucial. Industry 4.0 and Hyper-Customized Smart Manufacturing Supply Chains is an assemblage of innovative research ideas surrounding the methods of modern smart manufacturing technologies and digital supply chain management in the era of Industry 4.0. While highlighting topics including blockchain diffusion, logistics system, and data analytics, this book is ideally designed for industry professionals, researchers, managers, and students seeking current research on the role of technology in business production.

Microbial Endophytes and Plant Growth: Beneficial Interactions and Applications explains how modern molecular tools can unlock the plant's microbial network, building the bridge between plant and environment. Chapters describe the usefulness of the endophytic microbiome of different crops, including cereals, vegetables and horticulture, and delve into the latest research surrounding the applications of plant-microbe interactions in improving plant growth. Other topics discussed include root endophytes and their role in plant fitness, seed associated endophytes and their functions, and microbial endophytes and nanotechnology. This is a one-stop resource for scientists wanting access to the latest research in plant microbiology. The book also provides advanced techniques for using multi-omics approaches to study plant-microbe interactions, providing readers with a practical approach.

"Big data" has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. The Handbook of Research on Big Data Management and Applications explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.

The quality of students' learning experiences is a critical concern for all educational institutions. With the assistance of modern technological advances, educational establishments have the capability to better understand the strengths and weaknesses of their learning programs. Impact of Learning Analytics on Curriculum Design and Student Performance is a critical scholarly resource that examines the connection between learning analytics and evaluations and their impact on curriculum design and student performance in educational institutions. Featuring coverage on a broad range of topics, such as academic support, large scale assessment, and educational research methods, this book is geared towards educators, professionals, school administrators, researchers, and practitioners in the field of education.

This proceedings volume documents the contributions presented at the CONIAPS XXVII international Conference on Recent Advances in Pure and Applied Algebra. The entries focus on modern trends and techniques in various branches of pure and applied Algebra and highlight their applications in coding theory, cryptography, graph theory, and fuzzy theory.

"Diabetes; Alternative Thoughts" takes a different approach to diabetes management. The book tries to explain the disease, its complications in simple language and gives evidences for effect of lifestyle and exercises in diabetes management. The chapters gives glimpses of Ayurvedic outlook for diabetes and some commonly used herbs in diabetes with scientific evidences.The author is not refuting the importance of conventional approaches in diabetes management or consider this book as a self help guide to treat diabetes.On the contrary tries to create an awareness among medical practitioners and the public to have a serious consideration of alternative methods which are equally powerful as prescription pills. It would serve as a mini reference book for medical practitioners and public.

Microbiomes and Plant Health: Panoply and Their Applications includes the most recent advances in phytobiome research. The book emphasizes the use of modern molecular tools such as smart delivery systems for microbiol inoculation, next-generation sequencing, and genome mapping. Chapters discuss a variety of applications and examples, including the sugarcane microbiome, rhizoengineering, nutrient recycling, sustainable agricultural practices and bio-potential of herbal medicinal plants. Written by a range of experts with real-world practical insights, this title is sure to be an essential read for plant and soil microbiologists, phytopathologists, agronomists, and researchers interested in sustainable forestry and agriculture practices.

The book discusses the complex interactions between plants and their associated microbial communities. It also elucidates the ways in which these microbiomes are connected with the plant system, and how they affect plant health. The different chapters describe how microbiomes affect plants with regard to immunity, disease conditions, stress management and productivity. In addition, the book describes how an 'additional plant genome' functions as a whole organ system of the host, and how it presents both challenges and opportunities for the plant system. Moreover, the book includes a dedicated section on using omics tools to understand these interactions, and on exploiting them to their full potential.

Our world is increasingly driven by sophisticated networks of advanced computing technology, and the basic operation of everyday society is becoming increasingly vulnerable to those networks' shortcomings. The implementation and upkeep of a strong network defense is a substantial challenge, beset not only by economic disincentives, but also by an inherent logistical bias that grants advantage to attackers. Network Security Attacks and Countermeasures discusses the security and optimization of computer networks for use in a variety of disciplines and fields. Touching on such matters as mobile and VPN security, IP spoofing, and intrusion detection, this edited collection emboldens the efforts of researchers, academics, and network administrators working in both the public and private sectors. This edited compilation includes chapters covering topics such as attacks and countermeasures, mobile wireless networking, intrusion detection systems, next-generation firewalls, and more.

This book describes the latest advances in systems biology in four plant-based marine ecosystems: seaweeds, seagrasses, microalgae, and corals. Marine organisms that inhabit the oceanic environment experience a diverse range of environmental fluctuations, anthropogenic stress, and threats from invasive species and pathogens. System biology integrates physiology, genomics, transcriptomics, proteomics, and metabolomics into numerical models and is emerging as an important approach to elucidate the functional adaptations of marine organisms to adverse environmental conditions. This book focuses on how ecophysiology, omics platforms, their integration (a systems biology perspective), and next generation sequencing tools are being used to address the stress response of marine seaweeds, seagrasses, corals, marine microbe diversity, and micro-and macroalgae/corals-bacterial interactions to global climate change and anthropogenic activities. The contents of the book are of special interest to graduate and postgraduate marine biology students and marine biology researchers, particularly those interested in marine ecology, stress physiology of marine macrophytes/corals/phytoplankton, and environmental microbiology. This book would also be of interest to marine engineers engaged in the management and conservation of our valuable marine resources.

This book provides practical insights into applications of the state-of-the-art of Machine Learning and Artificial Intelligence (AI) for solving intriguing and complex problems in procurement and supply chain management. The application domain includes perishable food supply chain, steel price prediction, electric vehicle charging infrastructure design, contract price negotiation, reverse logistics network design, and demand forecasting. Further, the book highlights the advanced topics in the procurement field, like AI in green procurement and e-procurement in the pharma sector. Furthermore, the book covers applications of well-established methodologies such as heuristics, optimization, game theory, and MCDM based on the nature of the problem. The inclusion of the vaccine supply chain digital twin and blockchain-based procurement signals the significance of the book. This book is a comprehensive guide for industry professionals to understand the power of data analytics, enabling them to improve efficiency and effectiveness in the procurement and supply chain sectors.

With the recent shift of chemical fertilizers and pesticides to organic agriculture, the employment of microbes that perform significant beneficial functions for plants has been highlighted. This book presents timely discussion and coverage on the use of microbial formulations, which range from powdered or charcoal-based to solution and secondary metabolite-based bioformulations. Bioformulation development of biofertilizers and biopesticides coupled with the advantages of nanobiotechnology propose significant applications in the agricultural section including nanobiosensors, nanoherbicides, and smart transport systems for the regulated release of agrochemical. Moreover, the formulation of secondary metabolites against individual phytopathogens could be used irrespective of geographical positions with higher disease incidences. The prospective advantages and uses of nanobiotechnology generate tremendous interest, as it could augment production of agricultural produce while being cost-effective both energetically and economically. This bioformulation approach is incomparable to existing technology, as the bioformulation would explicitly target the particular pathogen without harming the natural microbiome of the ecosystem. Nanobiotechnology in Bioformulations covers the constraints associated with large-scale development and commercialization of bioinoculant formations. Furthermore, exclusive emphasis is be placed on next-generation efficient bioinoculants having secondary metabolite formulations with longer shelf life and advanced competence against several phytopathogens. Valuable chapters deal with bioformulation strategies that use divergent groups of the microbiome and include detailed diagrammatic and pictorial representation. This book will be highly beneficial for both experts and novices in the fields of microbial bioformulation, nanotechnology, and nano-microbiotechnology. It discusses the prevailing status and applications available for microbial researchers and scientists, agronomists, students, environmentalists, agriculturists, and agribusiness professionals, as well as to anyone devoted to sustaining the ecosystem.

Fungal nanobionics has great prospects for developing new products with industrial, agriculture, medicine and consumer applications in a wide range of sectors. The fields of chemical engineering, agri-food, biochemical, pharmaceuticals, diagnostics and medical device development all employ fungal products, with fungal nanomaterials currently used in a wide range of applications, ranging from drug development to food industry and agricultural sector. The fungal agents emerge as an environmentally friendly, clean, non-toxic agent for the biogenic metal nanoparticles and employs both intracellular and extracellular methods. The simplicity of scaling up and downstream processing and the presence of fungal mycelia affording an increased surface area provide key advantages. In addition, the larger spectrum of synthesized nanoparticle morphologies and the substantially faster biosynthesis rate in cell-free filtrate (due to the higher amount of proteins secreted in fungi) make this a particularly enticing route. Understanding the diversity of fungi in assorted ecosystems, as well as their interactions with other microorganisms, animals and plants, is essential to underpin real and innovative technological developments and the applications of metal nanoparticles in many disciplines including agriculture, catalysis, and biomedical biosensors. Importantly, biogenic fungal nanoparticles show significant synergistic characteristics when combined with antibiotics and fungicides to offer substantially greater resistance to microbial growth and applications in nanomedicine ranging from topical ointments and bandages for wound healing to coated stents.

Aligning the latest practices, innovations and case studies with academic frameworks and theories, the broad area of multi-criteria and game theory applications in manufacturing and logistics is covered in comprehensive detail.

Divided into two parts, part I is dedicated to multi-criteria applications and includes chapters on logistics with a focus on vehicle routing problems, a multi-objective decision making approach to select the best storage policy and an exploratory study to predict the most important factors that can lead to successful mobile supply chain management adoption for manufacturing firms. Part II covers game theory applications and encompasses the process of forming a coalition within a corporate network to the problem of integrating inventory and distribution optimization together with game theory to effectively manage supply networks.

Providing a forum to investigate, exchange novel ideas and disseminate knowledge covering the broad area of multi-criteria and game theory applications in manufacturing and logistics, "Applications of Multi-Criteria and Game Theory Approaches" is an excellent reference for students, researchers but also managers and industry professionals working with manufacturing and logistics issues."