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The history of Singapore has been closely intertwined with immigration. Most Singaporean’s forefathers were immigrants. Till today, they continue to come, enticed by the strong governance, transparent work culture, equal job opportunities, safe environment and cohesive social structure that Singapore is known for. Singaporeans both, ‘old’ and ‘new’ have worked hand in hand to make the Little Red Dot an economic power to reckon with in the world. Singapore’s ability to attract the best talent and use it to its competitive advantage has been the hallmark of this nimble nation which is quick to adapt to changing situations. This book endeavours to showcase the journey of 30 naturalized Singaporeans, who come endowed with skills and talents that have benefitted the country. They have adapted to the social and religious fabric of Singapore, nurtured respect for its culture and traditions and honoured its history while forging connections within the community. They have thus made their journey to becoming Singaporean a meaningful one.
Flood Forecasting: A Global Perspective, Second Edition covers hydrologic forecasting systems on both a national and regional scale. This updated edition includes a breakdown by county contribution and solutions to common issues with a wide range of approaches to address the difficulties inherent in the development, implementation and operational success of national-scale flood forecasting systems. Special attention is given to recent advances in machine learning techniques for flood forecasting. Overall, the information will lead to improvements of existing systems and provide a valuable reference on the intricacies of forecast systems in different parts of the world. - Covers global and regional systems, thus allowing readers to understand the different forecasting systems and how they developed - Offers practical applications for groups trying to improve existing flood forecasting systems - Includes innovative solutions for those interested in developing new systems - Contains analytical and updated information on forecasting and monitoring systems
The book constitutes selected peer-reviewed proceedings of the International Conference on the 4th Industrial Revolution and Beyond (IC4IR 2021). It focuses on the research trends, challenges, and future of artificial intelligence (AI). It explores the potential for the integration of advanced AI algorithms. The book addresses the challenges of Data Science for industrial applications in developing and under-developed countries and various security issues. It includes qualitative and quantitative research and provides case studies with working models. The book focuses on artificial intelligence and its applications for industry, innovation, and infrastructure. The book serves as a reference book for practitioners and researchers working in the areas of AI, soft computing, IoT, and data analytics.
Metaphor studies is a vibrant and fascinating field. The present book brings together the work of influential researchers analyzing metaphor empirically from Critical Socio-Cognitive perspectives (CSCDA). The case studies focus on the role of metaphor as a powerful strategy for the creation of specific world views and ideological frames, as well as for their contestation in current crises.
This edited book brings out a comprehensive collection of information on the modern omics-based research. The main focus of this book is to educate researchers about utility of omics-based technologies in rapid crop improvement. In last two decades, omics technologies have been utilized significantly in the area of plant sciences and has shown promising results. Omics technology has potential to address the challenge of food security in the near future. The comprehensive use of omics technology occurred in last two decades and helped greatly in the understanding of complex biological problems, improve crop productivity and ensure sustainable use of ecosystem services. This book is of interest to researchers and students of life sciences, biotechnology, plant biotechnology, agriculture, forestry, and environmental sciences. It is also a useful knowledge resource for national and international agricultural scientists.
Due to the extensive antimicrobial use in humans and agriculture, antimicrobial resistance (AMR) has emerged as a major threat to global health. The intensive use of antimicrobials in animals selects AMR genes, which then can be transferred to human pathogens via a variety of horizontal gene transfer mechanisms. Although the prevalence and mechanisms of AMR have been studied in common foodborne pathogens and indicator bacteria such as Escherichia coli, Staphylococcus aureus, and the species of Enterococcus, Salmonella, and Campylobacter, the situation with other rarely investigated veterinary and zoonotic bacteria such as Leptospira, Brucella, Borrelia, Lawsonia and other genera is less clear. In addition, the majority of surveillance and control programs have been designed to target commensal and zoonotic bacteria in food production animals, thus AMR bacteria in companion, wild and other animals have received less attention.
The two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23–25, 2022. The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, and research challenges in the field of artificial intelligence and emerging technologies. It will be helpful for active researchers and practitioners in this field. These papers are organized in the following topical sections: imaging for disease detection; pattern recognition and natural language processing; bio signals and recommendation systems for wellbeing; network, security and nanotechnology; and emerging technologies for society and industry.
The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The 7th and final volume, LNCS 11307, is organized in topical sections on robotics and control; biomedical applications; and hardware.
This edited volume provides a comparative analysis of the ways in which pandemics are theorized and studied across several disciplines.
The New Digital Era’s two volumes vitally generate new information in order to determine the advantages and risks in which areas this digitalization, which has increased with the COVID-19 pandemic.