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The story of "Ambrosial" begins when the protagonist and his dear friend Xeala are sitting at a watering hole, the Señor Chiquita, partaking of beer and nachos. Both of them work as corporate lawyers in one of the topmost law firms of the country. But with great pay checks, comes soul crushing work pressure. Moments of unhindered relaxation, like the night in Señor Chiquita, are few and far between. Xeala wants to set up the protagonist with someone, as she herself has started dating her then boyfriend (and present fiancee) Axxen, and wants to see the protagonist settled as well. After some needling, the protagonist reveals that he is interested in a new girl in the office, the mysterious ...
Presenting a collection of short stories of horror and the macabre; a volume inspired by the works of H.P. Lovecraft and Ray Bradbury. In the pages of this book, you will read about: 1. A party guest who makes a frustratingly early appearance; 2. A group of astronauts who have travelled into deep space, to investigate the sudden appearance of an unidentified object, that will make them question their faith; 3. A patch of oil on the wall that refuses to be cleaned; 4. An investigation into a horrifying bloodshed inside a bank vau“br /> 5. An endless running video game, that has deadly consequences for the player; 6. Elder Gods ruminating about the meaning of their existence; 7. A transgender prostitute and practitioner of the occult arts, who is burdened with a glorious purpose; And other stories
The anuual magazine of Sikkim Manipal Institute of Technology, Majhitar.
The application of Biotechnology dates back to the early era of civilization, when people first started to cultivate food crops. While the early applications are certainly still relevant, modern biotechnology is primarily associated with molecular biology, cloning and genetic engineering not only to increase the yield and to improve the quality of the crop but also its potential impact has touched upon virtually all domains of human interactions. Within the last 50 years, several key scientific discoveries revolutionized the biological sciences that facilitated the rapid growth of the biotechnology industry. 'Biotechnology and Biological Sciences III' contains the contributions presented at the 3rd International Conference on Biotechnology and Biological Sciences (BIOSPECTRUM 2019, Kolkata, India, 8-10 August 2019). The papers discuss various aspects of Biotechnology such as: microbial biotechnology, bioinformatics and drug designing, innovations in pharmaceutical industries and food processing industries, bioremediation, nano-biotechnology, and molecular-genetics, and will be of interest to academics and professionals involved or interested in these subject areas.
It is my pleasure to write the preface for Information Processing and Management. This book aims to bring together innovative results and new research trends in inf- mation processing, computer science and management engineering. If an information processing system is able to perform useful actions for an obj- tive in a given domain, it is because the system knows something about that domain. The more knowledge it has, the more useful it can be to its users. Without that kno- edge, the system itself is useless. In the information systems field, there is conceptual modeling for the activity that elicits and describes the general knowledge a particular information system needs to know. The main objective of conceptual modeling is to obtain that description, which is called a conceptual schema. Conceptual schemas are written in languages called conceptual modeling languages. Conceptual modeling is an important part of requi- ments engineering, the first and most important phase in the development of an inf- mation system.
Research Methodology for Social Sciences provides guidelines for designing and conducting evidence-based research in social sciences and interdisciplinary studies using both qualitative and quantitative data. Blending the particularity of different sub-disciplines and interdisciplinary nature of social sciences, this volume: Provides insights on epistemological issues and deliberates on debates over qualitative research methods; Covers different aspects of qualitative research techniques and evidence-based research techniques, including survey design, choice of sample, construction of indices, statistical inferences and data analysis; Discusses concepts, techniques and tools at different sta...
This book envisages a multi-proxy approach using stable isotopes, geochemical proxies, magnetic susceptibility and associated biotic events for paleoclimatic and paleoenvironmental interpretations of the Mesozoic sedimentary record of India. Mesozoic rocks of India record abnormal sea level rise, greenhouse climate, intensified volcanism, hypoxia in seawater, extensive black shale deposition, and hydrocarbon occurrence. The Mesozoic has also witnessed mass extinction events, evolution of dinosaurs, and breakdown of the supercontinent Pangea and the formation of Gondwana. Although the Mesozoic geology of India has witnessed significant progress in the last century, literature survey reveals a huge gap in knowledge regarding sequence stratigraphy, chemostratigraphy and key geological events. A synthesis of sedimentological, paleontological and chemical data is included to presenting a comprehensive understanding of the Indian Mesozoic record to students, researchers and professionals.
This book presents findings from research into the Precambrian history of the Indian shield obtained using state-of-the-art technology. It demonstrates a paradigm shift towards studying the Precambrian shield regions using petrological, geochemical, structural, metallogenic, sedimentological and paleobiological data from the rocks in the Precambrian shield area, and presents a collection of contributions on these diverse topics that help to reconstruct the Precambrian evolution of the Indian Shield.
This book is designed for self study. The reader can apply the theoretical concepts directly within R by following the examples.
How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application.