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From Data Pipelines to Decision Autonomy: Deep Learning and Agentic AI Architectures for Intelligent Insurance Platforms
The insurance industry stands at a pivotal crossroads. Traditional actuarial models and rule-based systems, while foundational, are increasingly insufficient to navigate the complexities of modern risk assessment, fraud detection, and customer personalization. The convergence of deep learning, cloud-native architectures, and agentic AI systems has opened unprecedented opportunities to transform insurance from a reactive, process-heavy industry into a proactive, intelligence-driven ecosystem. This book emerged from years of hands-on experience designing and deploying machine learning systems across healthcare, financial services, and retail sectors, each demanding precision, scalability, and ethical responsibility. What became evident was that the future of insurance lies not merely in automating existing workflows, but in building platforms capable of autonomous decision-making, continuous learning, and adaptive risk management. From Data Pipelines to Decision Autonomy bridges the gap between theoretical AI concepts and practical implementation. We explore how raw, distributed data transforms into actionable intelligence through robust pipelines, how deep learning models uncover hidden patterns in claims and underwriting, and how agentic AI architectures enable systems to reason, plan, and act with minimal human intervention. Each chapter is structured to serve both technical practitioners and strategic decision-makers. You'll find architectural blueprints for building scalable data platforms on GCP and AWS, MLOps frameworks for deploying models in production, and real-world case studies demonstrating measurable business impact. We address the critical challenges of model explainability, regulatory compliance, and ethical AI deployment considerations that cannot be afterthoughts in an industry built on trust. Whether you're a data engineer architecting your first insurance data lake, a machine learning engineer optimizing fraud detection models, or an executive navigating digital transformation, this book provides the technical depth and strategic vision needed to build truly intelligent insurance platforms. The journey from data to autonomous decisions begins here.
Cognitive Financial Infrastructure: Designing Adaptive, Integrated Market Systems
Markets were once places. Then they became systems. Now, they are becoming organisms. For centuries, financial infrastructure evolved in layers, exchanges, clearinghouses, banks, regulators, each solving a problem of coordination, trust, and scale. These systems were designed for a world where information moved slowly, decisions were periodic, and risk could be measured after the fact. That world no longer exists. Today’s markets operate in a state of continuous awareness. Data flows in real time. Signals emerge from behavior, networks, and machines as much as from human intent. Capital no longer travels alone; it moves with metadata, constraints, identity, and embedded logic. Financial infrastructure is no longer just plumbing. It is cognition at scale. This book explores the rise of cognitive financial infrastructure, systems that do not simply process transactions but interpret environments, adapt to change, and coordinate action across institutions, platforms, and jurisdictions. These infrastructures sense volatility before it becomes crisis, allocate liquidity dynamically, enforce policy through code, and learn from systemic feedback. But intelligence in markets is not only technical. It is structural. When infrastructures become adaptive, the boundaries between market participants, intermediaries, and regulators begin to blur. Governance shifts from static rulebooks to dynamic frameworks. Stability emerges not from rigidity, but from responsiveness. The challenge is not whether markets will become intelligent, they already are. The question is how we design that intelligence: who shapes it, what values it encodes, and how power is distributed within it. This book is a guide to understanding, building, and governing the next generation of market systems, integrated, adaptive, and aware.
Integrating Chemistry, Clinical Practice, and Pharmacoepidemiology From Molecule to Population
The book is the result of a belief that the greatest contributions in the field of therapeutic science are made on the borders of areas that were traditionally separate. The book From Molecule to Population is devoted to the light shedding on the most important chain between the design of a drug molecule and its final effect on human populations. This journey of integration we map in four. Our starting point is the molecular basis with the studies of innovative chemical synthesis and bioactive scaffolds. This then becomes personalized therapy in clinical practice, across the translational bridge, under clinical pharmacy and close pharmacovigilance of the safety of individual patients. Lastly, we use the population-level lens and apply the systems of pharmacoepidemiology and the real-world evidence of a drug to gain insights into the extensive use, benefits, and risks of a drug. This book targets students, scholars, clinicians in the field of pharmaceutical sciences, medicinal chemistry, clinical pharmacy, and in the area of public health. It belongs to those who want to have a unified idea of how the properties of the molecules predetermine the clinical practice and how the personal results of the patients influence the overall knowledge of the population health. Our long run objective is to make people more collaborative and holistic minded. With links between chemical structure and population-wide effect, we will be able to help in a future where quality patient care is replicated by a smooth flow between drug development, clinical application, and safety monitoring anywhere.
Copyright (c) 2026 Atul R. Bendale, Vasimkhan T. Pathan, Nilesh Ashok Karande
Intelligent Capital: Building Self-Governing Financial Architectures in the Cloud Era
We are entering an age where capital is no longer merely accumulated, it is architected. Money used to sit in vaults, accounts, and portfolios, waiting for human instruction. Today, it lives in code, flows through networks, reacts to data, and increasingly makes decisions without asking permission first. The cloud did not just change where software runs; it changed how value itself behaves. This book explores a simple but radical idea: financial systems can be designed to govern themselves. For centuries, finance has depended on layers of human coordination — bankers, regulators, analysts, brokers, and institutions acting as the nervous system of capital. But cloud infrastructure, artificial intelligence, and programmable financial primitives are dissolving those layers. Capital can now be embedded with logic, policy, and adaptive behavior. It can assess risk in real time, allocate resources dynamically, enforce compliance automatically, and evolve based on environmental signals. This shift is not merely technological. It is architectural. When financial structures become software-defined, they inherit the properties of modern systems: scalability, modularity, automation, and resilience. But they also inherit new vulnerabilities, governance questions, and ethical tensions. Who is responsible when autonomous capital acts? How do we encode trust? What does regulation mean when systems operate across jurisdictions at machine speed? “Intelligent Capital” is not a prediction of a distant future. It is a map of a transition already underway from human-operated finance to self-governing financial architectures. The goal of this book is not to celebrate automation, nor to resist it, but to understand it deeply enough to design it wisely. Because in the cloud era, the most powerful financial institution may no longer be an organization.
Copyright (c) 2026 Vijaya Rama Raju Gottimukkala
Operational Intelligence Engineering: Integrated Systems for Smart Service and Production Sectors
Operational Intelligence Engineering stands at the intersection of data, systems thinking, and decision science transforming how organizations perceive, analyze, and act in real time. As industries navigate rapid digital transformation, the ability to convert operational data into actionable intelligence has become not merely advantageous, but essential. This book, Operational Intelligence Engineering: Integrated Systems for Smart Service and Production Sectors, is written to guide readers through the principles, architectures, and applications that enable intelligent, adaptive operations. Across both service and production environments, modern enterprises face unprecedented complexity. Distributed supply chains, cyber-physical systems, IoT-enabled infrastructure, AI-driven analytics, and customer-centric service models demand integrated frameworks capable of continuous sensing, learning, and optimization. Operational intelligence engineering responds to this challenge by combining systems engineering, data analytics, automation, and strategic management into cohesive, scalable solutions. This text presents a structured approach to designing and implementing intelligent operational ecosystems. It bridges theory and practice—linking foundational concepts such as real-time analytics, predictive modeling, digital twins, and process automation with practical applications in manufacturing, logistics, healthcare, energy, finance, and smart services. Emphasis is placed not only on technological integration but also on governance, resilience, cybersecurity, and ethical deployment. Designed for engineers, researchers, practitioners, and graduate students, this book offers both conceptual clarity and implementation insight. Case studies, system architectures, and methodological frameworks provide readers with tools to engineer operational intelligence systems that are robust, adaptive, and value-driven. Ultimately, this work envisions organizations that are not merely automated, but aware—capable of learning from data streams, anticipating disruptions, and continuously improving performance. By integrating intelligence into operations, we move toward smarter industries, sustainable production, and responsive service ecosystems prepared for the demands of an increasingly dynamic world. This book is an invitation to engineers in the future.
Copyright (c) 2026 Uday Surendra Yandamuri
Cloud-Scale Intelligence for Financial Platforms: Adaptive Systems and Operational Artificial Intelligence
Finance has always been a system of signals prices, risks, behaviors, and expectations moving through networks of people and institutions. What has changed is the speed, scale, and intelligence with which those signals are processed. In the cloud era, financial platforms are no longer static infrastructures; they are living systems that sense, learn, and adapt in real time. This book explores the rise of cloud-scale intelligence as the foundation of modern financial architecture. Platforms today must operate across millions of transactions, volatile markets, and evolving regulatory landscapes all while delivering seamless user experiences. Traditional software design, built around fixed rules and manual oversight, cannot keep pace. The new paradigm is operational AI: systems that monitor themselves, optimize performance continuously, detect anomalies before failure, and allocate resources dynamically. Adaptive financial systems do more than automate workflows. They reshape how platforms are built and governed. Infrastructure scales autonomously. Risk engines evolve with new data. Fraud models update without downtime. Customer interactions become context-aware. Intelligence moves from dashboards viewed by humans to embedded decision loops inside the platform itself. But intelligence at this scale brings responsibility. As algorithms influence credit decisions, liquidity flows, and market stability, questions of transparency, bias, and control become central design concerns. Building cloud-scale intelligence is therefore not only a technical challenge, but a governance one. This book offers a framework for understanding and designing adaptive financial platforms where AI is not a feature, but the operational core. The future of finance belongs to systems that can think, respond, and improve at the speed of the cloud.
Copyright (c) 2026 Avinash Reddy Segireddy
The Autonomous Data Enterprise: Engineering Real-Time Intelligence with Generative and Agentic AI
We stand at the threshold of a transformative era in data engineering, one where enterprises are no longer passive consumers of data but autonomous orchestrators of intelligence. The convergence of generative AI, agentic systems, and real-time analytics is fundamentally reshaping how organizations extract value from their data ecosystems. This book emerges from years of hands-on experience architecting data platforms across healthcare, finance, and retail sectors, where the demand for instantaneous, intelligent decision-making has never been more critical. Traditional data pipelines, built on batch processing and human-dependent workflows, are giving way to self-optimizing systems that learn, adapt, and act with minimal intervention. The "Autonomous Data Enterprise" represents more than technological advancement; it embodies a philosophical shift. It challenges the notion that data infrastructure must be laboriously managed and questions why intelligent systems cannot govern themselves. Through generative AI, we can now synthesize insights from unstructured chaos. Through agentic frameworks, we empower systems to make contextual decisions, trigger actions, and continuously improve without constant human oversight. This book is structured to bridge theory and practice. We explore the foundational architecture of autonomous data systems, dissect real-world implementations on cloud platforms like GCP and AWS, and examine MLOps practices that enable continuous model deployment at scale. Each chapter builds upon the last, guiding you from conceptual frameworks to production-grade solutions that deliver measurable business impact. Whether you're a data engineer seeking to modernize legacy systems, a machine learning practitioner aiming to operationalize models, or a technology leader driving digital transformation, this book provides the blueprint for building enterprises that think, learn, and evolve autonomously. The future belongs to organizations that can transform data into action at the speed of thought. Let us begin that journey together.
Copyright (c) 2026 P S L Narasimharao Davuluri
International Conference on Innovative Approaches in Multidisciplinary Engineering and Technology (ICIA-MET’26)
The International Conference on Innovative Approaches in Multidisciplinary Engineering and Technology (ICIA-MET’26) is a distinguished academic forum that brings together leading researchers, academicians, industry professionals, and practitioners from across the Engineering and Technology spectrum. The conference aims to promote interdisciplinary collaboration by providing a dynamic platform for knowledge exchange among professionals from Mechanical, Electrical, Civil, Computer Engineering, Information Technology, Electronics and Telecommunication, Artificial Intelligence and Data Science, Robotics and Engineering Sciences. ICIA-MET’26 seek to address emerging challenges through integrative and cross-disciplinary perspectives, encouraging participants to explore innovative methodologies and transformative technologies. Through technical sessions, keynote addresses, and scholarly discussions, the conference facilitates the dissemination of cutting-edge research, fosters collaboration, and contributes to the advancement of Engineering and Technology on a global scale.
Copyright (c) 2026 P. M. Yawalkar, Vijay More, Vaibhav Dabhade
Chapter 1: Introduction to International Business Chapter 2: Theories of International Trade Chapter 3: Foreign Investment and Exchange Market Chapter 4: Globalization and World Trade Environment Chapter 5: Regional Economic Groupings and Contemporary Issues
Copyright (c) 2026 V. Ramachandran, N. Thangapandi
Novel Herbal Drug Delivery Systems: Principles, Applications, and Future Perspectives
1. Novel Herbal Drug Delivery System: Introduction, Principles, Applications and Future Prospective 2. Advancement in Herbal Drug Delivery System: Role of Nanotechnology in Herbal Medicine 3. Applications of Novel Drug Delivery Systems for Herbal Formulations 4. Herbal Drug Delivery Approaches for Cardiovascular and Neurological Disorders 5. Herbal Excipients in Novel Drug Delivery System 6. Novel Herbal Drug Delivery Systems and their Applications 7. Utilizing Nanotechnology for the Delivery of Herbal Pharmaceuticals 8. Biocompatible Herbal Hydrogels Drug Delivery System for Advanced Wound Healing 9. Proniosomes as Novel Drug Delivery System 10. Gastro-retentive Floating Microspheres: Recent Advances in Formulation, Evaluation and Applications with Bioactive Molecules 11. Ethosomes: Recent advances in formulation, evaluation and applications with bioactive molecules 12. Novel Herbal Bioactive Agents: Molecular Docking Insights and Therapeutic Applications 13. Recent Innovations and Future Trends in Herbal Drug Delivery 14. Silver nanoparticles: Recent Advances in Formulation, Evaluation and Applications with Bioactive Molecules 15. Formulation Considerations, Evaluation and Applications of Transdermal Patches containing Bioactive Compounds 16. Applications of Novel Herbal Drug Delivery Systems Focusing on Bioactive Compounds
Copyright (c) 2025 Sumeet Dwivedi, Sandip Prasad Tiwari, Satyaendra Shrivastava, Idress Hamad Attitalla
Applied Chemistry is at the center of the translation of the basic knowledge in chemistry to the type of technologies, materials, energy systems, and processes involved in industrial activity that serve the contemporary society. The textbook has been developed as an all-encompassing, conceptual, and industry-based learning tool of undergraduate and postgraduate students of Chemistry, Chemical Engineering, Materials Science, Environmental Science, and related subjects. The focus of the book is towards industrial chemistry, applied application and problem solving, and not towards abstract descriptive or policy-oriented curricular models. The book has been organized in such a way that students can be able to move in a logical way starting with the basic principles and then to the more complicated applications in industries. Each unit will be built on enhancing theoretical knowledge and at the same time illustrate how these concepts work at chemical plants, laboratories, power plants, and materials industries. Classical laws and models are wherever suitably related with new trends in energy storage equipment, green catalysis, advanced materials, sustainable fuels, and water management in industries. Unit I: Foundations of Applied Chemistry & Thermodynamics All applied chemistry branches need this unit to give them the conceptual and mathematical knowledge they need. It presents the breadth, the interdisciplinary character, and the industrial importance of chemistry, and then proceeds to discuss in detail the states of matter, and how they are important in the process of chemical processing. The thermodynamic, entropy, and free energy laws are presented in the framework of the feasibility of the reactions, energy efficiency, and maintenance of the equilibrium. They also consist of phase equilibria and metallurgical processes to ensure that students learn the behavior of materials in high-temperature and multi-phase industrial systems and have a sound foundation upon which to build their further higher-level work with. Unit II: Chemical Kinetics & Catalysis These unit dwells on rate and mechanism of chemical reactions that are vital to industrial productivity and safety. Basic kinetic principles, rate laws, and temperature influences are built up and issues that influence reaction rates. Catalysis is then further discussed, such as heterogeneous industrial catalysts, biochemical catalysts through enzyme catalysis and catalytic approaches in green chemistry. The focus is put on reaction optimization, selectivity, catalyst efficiency, and environmental impact, allowing students to enjoy the role played by chemistry in industrial innovation. Unit III: Electrochemistry & Surface Phenomena This unit puts emphasis on the role of the electrochemical and interfacial process in converting energy, protecting materials and industrial synthesis. The electrochemical cells, batteries, fuel cells, corrosion mechanism, electroplating and electrorefining are covered with industrial examples. They include adsorption and surface catalysis to describe the nature of heterogeneous reactions and separation processes. Students are prepared with knowledge to grasp contemporary energy technologies, prevention techniques on corrosion and mass production system in electrochemical processes through the unit. Unit IV: Colloids, Surfactants & Industrial Materials Physical chemistry Unit IV connects with materials science and formulation technology. It includes colloids, surfactants, micelles, and emulsions with a special focus on their use in pharmaceuticals, food technology, cosmetics, paints, detergents, and nanomaterials. It also offers a comprehensive study of cement, glass, and ceramics in terms of composition, manufacturing process, structure property relationship, and industrial application. This unit assists the students to know how chemical principles control the design and performance of structural and functional materials. Unit V: Fuels & Industrial Water Chemistry The last section will discuss two most important elements of industrial chemistry which are energy and water. It talks about solid, liquid, gaseous and other alternative fuels in terms of composition, calorific value, combustion efficiency, and environmental impact. Industrial water chemistry deals with impurities, analysis, treatment of water, softening, and boiler water issues. They have a focus on scaling, corrosion, energy efficiency, and sustainable resource management, which prepares students to meet real-world challenges of the industrial world. Pedagogical Features of the Book Clear explanation of fundamental principles with industrial linkage. Emphasis on process chemistry and applied problem-solving. Inclusion of industrial examples, reaction schemes, and practical relevance. Suitable depth and rigor for UG and PG level learning. Useful for university examinations, competitive exams, and industry-oriented studies. Overall Aim The main purpose of the book is to build the good conceptual base along with the industrial understanding, which helps the students to fill the gap between chemistry in the classroom setting and the chemical technology at the real world. Combining theory and practice, this textbook can be considered as an effective source of information to students, teachers, and practitioners working in the field of applied and industrial chemistry.
Copyright (c) 2026 Dr. Benvikram Barman, Dr. Bhupendra Singh Banjare; Dr. Manoj Kumar Banjare; Dr. Bharat Lal Sahu, Dr. Sangeeta Gupta, Mr. Gokul Ram Nishad, Mr. Shashank Singh Rathore; Mrs. Hema R. Tandon, Mrs. Neelam Ram Dhansay, Dr. Toshikee Yadav, Mr. Santosh Kumar Dahariya, Ms. Aditi Banjare, Mr. Ganesh Ram Kurrey; Mrs. Poonam Thawait; Mr. Chitresh Kumar Bareth, Mr. Rupendra Kumar , Dr. Sandhya Rani Panda, Dr. Manisha Thakur, Dr. Prachi P Nimje, Mr. Ajhar Ali, Mr. Rupesh Kumar, Ms. Shaesta Jabeen, Dr. Tula Ram Sahu, Ms. Namrata Tamboli, Mr. Pradeep Kanher, Mr. Seecharan Banjare , Ms. Suman R. Tirkey, Mr. Yashwant Raj Mahilane, Dr. Swati Chandrawanshi, Mr. Sudhanshu Kumar Giri, Mr. Sagar Kumar Rajak, Dr. Akansha Ekka, Dr. Jyoti Diwan, Dr. Khilawan Patel, Mr. Mukesh Kumar Patel, Mrs. Madhuri Patel, Chitrakiran Patel, Dr. Manoj Kumar Banjare, Dr. Prachi P Nimje, Dr. Sandhya Rani Panda, Mr. Prakashmani Sahu
Natural Radionuclide Distribution Mapping in Soils: A Case Study of Al-Najaf and Kufa Regions in Iraq
The radiological properties of soils represent an important factor for the investigation of the natural background radiation and possible environmental and health hazards. Soils play a role as the main reservoir of naturally-occurring radionuclides, such as uranium (U), thorium (Th), potassium (K) and radium, & their progeny, which are responsible for the external and internal exposure to radiation. The spatial distribution of these radionuclides is not identical, being significantly influenced by geological formations, soil type, and environmental characteristics, so radiological mapping becomes a very important tool regarding environmental characterization and radiation protection. In this book, a part is dedicated to the principles, methods, and practice of radiologic mapping of soil in limited regions. It gives a round-up of the state-of-knowledge on specific aspects of soil radionuclide transfer following accidents, such as dynamic approaches to model soil transfer both in real and laboratory conditions, data analysis methods used in investigating soil radioactivity, and dynamic model testing. The focus has been on the linking of specific radiological measurements with geospatial devices, primarily Geographic Information Systems (GIS), to allow visualization and interpretation of the spatial distribution of radionuclides and their associated radiological hazards. The motivation for this research comes from a rising demand of good baseline data on soil radioactivity, particularly in places with limited environmental monitoring infrastructure. Not only do they represent an added value to the scientific knowledge of natural radiation, but a useful tool for environmental management, territorial planning, and public health decision making. Such maps are important for characterization of the high-radiation areas as well as providing guidelines on possible risks to the population and non-human biota. The intended book users of the present work are researchers, environmental scientists, health physicists, geologists, and post graduate student in the fields of environmental radioactivity and spatial analysis. It will also be useful as a guide for regulatory bodies and radiation monitoring professionals dealing with environmental protection. On the other hand, in terms of practical contribution, it is hoped that by integrating theory with practice-based case studies, this paper will also help promote the development of radiological assessment and the usage of soil mapping as a tool for environmental safety and sustainable development. The present study aims at measuring the natural radioactivity of background radiation (Dose rate), gamma emitters (Uranium-238, Uranium-235, Thorium-232, and Potassium-40), and alpha emitters ( Radon-222, Radium-226, and Uranium-238 ) in soil samples collected from two cities, Najaf and Kufa at Al-Najaf governorate. Many techniques have been used, such as Alert INSPECTOR Dosimeter, gamma-ray spectroscopy with NaI(Tl) its dimension 3"× 3", CR-39 of TASTRAK analysis system, and RAD-7 detector, as well as radiological hazard index due to gamma and alpha emitters of samples, are determined. Then, the Geographic Information System (GIS) technique is used to map most main results. The results using the dosimeter are shown that the average value of Dose rate (D), Annual Average Effective Dose (AAED), and Excess Lifetime Cancer Risk (ELCR) due to the natural background in soil samples for Kufa city are 0.127±0.005 µSv/h, 1.12±0.04 mSv/y and (3.90±0.15) ×10–3, respectively. While, the average values of D, AAED, and ELCR for Najaf city are 0.121±0.004 µSv/h, 1.06±0.03 mSv/y, and 3.73±0.12, respectively. The results using NaI(Tl) detector are shown that the average value of specific activity in Kufa city for (238U, 235U, 232Th, 40K) are 6.2±0.74 Bq/kg, 278.10±19.43 Bq/kg, 6.41±0.82 Bq/kg, and 278.10±19.43 Bq/kg, respectively. While, the average value of specific activity in Najaf city for (238U, 235U, 232Th, 40K) are 18.01±1.24 Bq/kg, 0.83±0.44 Bq/kg, 13.36±0.91 Bq/kg, and 256.86±12.23 Bq/kg, respectively. The results using the CR-39 detector are shown that the average value of the radon concentration in the tube's airspace (C), the radon concentration in the sample (CRn), The radium content in the sample (CRa), and uranium concentrations (CU) for Kufa city are 14.1±1 Bq/m3, 895 ± 74 Bq/m3, 0.028±0.008 Bq/kg, and 0.048±0.008 ppm, respectively. While, the average value of the C, CRn, CRa, and CU for Najaf city are 16.10±3.166 Bq/m3, 684.92± 140.5 Bq/m3, 0.029±0.0058 Bq/kg, and 0.036±0.0072 ppm, respectively. It is found that the highest values of D and AAED due to background radiation in all samples under study are lower than the average worldwide limits of 0.247 μSv/hr and 2.4 mSv/y according to UNSCEAR 2008, respectively. As well as, the specific activity of 238U, 232Th, and 40K are lower than worldwide according to UNSCEAR 2008, except some samples have 40K larger than worldwide. In comparison, the results of alpha emitters in all present study samples are less than the world average levels. At the same time, all radiological parameters due to gamma emitters in most samples in Kufa and Najaf cities are within possible limit according to the radiation protection report UNSCEAR2000, UNSCEAR2008, OECD and ICRP1993. On other hand, the radiological parameters due to alpha emitters in all samples in Kufa and Najaf city, are within possible limit. Next step, many correlations between detectors are made between three techniques for all areas under study (Kufa and Najaf): first dosimeter and NaI (Tl) detectors, second NaI (Tl), and CR-39 detectors, and third CR-39 with RAD-7 detectors. The study has proved a high correlation factor for all the present study samples. This is evidence that the soil samples under study are original and affected by Goegical area and filtration. Thus the correct sequence of the uranium-238 basket can be achieved. Also, a good association between the Uranium-238 and Radon -222 would be considered statistically significant, but there is a weak association for all sites in the present study between radon-222 with thorium-232 and potassium-40; no one found the relation between radon-222 with thorium-232 series inside and potassium-40 from another side. Also, a good relationship between passive and active techniques. At last, the study results are safe compared with the permissible values globally, except for some area that needs future studies.
Copyright (c) 2026 Lubna Abdulrasool Mahdi Al-Asadi, Ali Abid Abojassim Al-Hamidawi
Solutions of Differential Equations by Symmetry Methods
This book is the outcome of my lecture notes of the graduate courses “Applications of Lie Groups I & II” given in Manisa Celal Bayar University. It also contains substantial material from my published papers on symmetries of differential equations. As a prerequisite, to gain the utmost benefit from the book, a familiarity with the knowledge of ordinary and partial differential equations and their solution techniques would be beneficial. The book can be considered as an introduction to the topic of symmetries of differential equations and how to use them to produce analytical solutions. It is intended to be a graduate textbook on the topic as well as a guide for researchers seeking for analytical solutions to their specific problems. The concentration is on the applications and solution techniques with the theory kept to a minimum so that the book can be readable by engineers and applied oriented researchers without much difficulty. At the end of each chapter, some exercises are also included so that the book can be adapted in a graduate course as a textbook. As a researcher with an engineering background, I became familiar with the symmetry methods during my Ph.D. studies under the supervision of late Prof. Erdoğan Şuhubi from Istanbul Technical University. His lectures and guidance of symmetry methods in the language of exterior differential forms was my initial familiarity with the topic. Later, I switched to the more classical and direct approach of the Lie group theory instead of calculating the symmetries via exterior differential forms. This book employs the direct classical approach of Lie groups to determine the symmetries of differential equations and finding their solutions. I hope the book will be beneficial to engineers, applied physicists and applied mathematicians who seek solutions to their problems.
Smart Well Production: Integrated Diagnostics, Flow Assurance, and Performance Optimization in Oil and Gas Wells
Smart Well Production: Integrated Diagnostics, Flow Assurance, and Performance Optimization in Oil & Gas Wells presents an integrated, systems approach to optimizing hydrocarbon recovery with provision for operational reliability, efficiency, and sustainability in modern oil and gas production environments. As reservoirs grow more complex from deepwater frontiers to unconventional shales and mature fields traditional siloed well management is inadequate. It is bringing disciplines together to marry reservoir engineering, production diagnostics, flow assurance, artificial lift, and digital transformation into a unified strategy for intelligent well performance management (IWPM). The text begins with rudimentary ideas of wellbore hydraulics, multiphase flow, and PVT behavior, and then moves through cutting-edge technologies such as permanent downhole gauges (PDGs), distributed fiber-optic sensing (DTS/DAS), and real-time surveillance systems. It gives great space to predictive modeling, uncertainty quantification, and digital twins, showing the way data-driven insight can prevent flow assurance failure and improve system-wide performance. The theme of the book is the shift away from reactive triage toward proactive optimization-enabled by combined nodal analysis, closed-loop control, and machine learning algorithms that detect anomalies as problems before they happen. The book outlines practical measures to curb hydrate and wax formation, liquid loading, sand generation, and conformance-related issues, which are significantly supported by practical case studies, which are based on offshore, onshore, deepwater, and unconventional settings. Later chapters explore the innovations in digital technology, such as cloud-based analytics systems, autonomous well architectures, robotic intervention systems, and artificial-intelligence-enhanced decision-making in the conceptualization of smart wells, which are proposed to be the key to the future low-carbon energy businesses. One of the primary motifs is sustainable practice, although the special attention is paid to the monitoring of emissions, chemical optimization, and energy efficiency, which are all the components of the production excellence that cannot be neglected. The paper is benchmarked to appeal to petroleum engineers, completion specialists, flow-assurance analysts and digital-oilfield practitioners, incorporating the theoretical subtleties with a writhingly proven implementation. Each of the chapters also has pedagogical tools (such as tables, figures, worked-out examples, and best-practice checklists) to make the process of teaching easier and more approachable to practice. Smart Well Production is not only a technical manual but also a strategic manual for turning plain wells into smart, smart wells with self-diagnosis, self-optimization, and autonomous operation paving the way for the future of autonomous fields and cognitive reservoir management.
Copyright (c) 2026 Yasin Khalili, Saeed Abassi, Seyed Mehdi Seyed Alizadeh
Fundamentals of Optical Fiber Communication: Principles, Components, and Applications
UNIT 1: Overview of Optics and Optical Fiber Communication History of fiber optic systems, block diagram, Fiber material, fiber cables and fiber fabrication, fiber joints, fiber connectors, splicer, Propagation of light in optical fiber, acceptance angle, numerical aperture, Types and specification of optical fiber, Advantages of optical fiber communication, applications UNIT 2: Transmission Characteristics of Optical Fiber Attenuation, absorption, linear and nonlinear scattering losses, bending losses, modal dispersion, waveguide dispersion and pulse broadening, Dispersion shifted and dispersion flattened fibers, Measurement of optical parameters, attenuation and dispersion UNIT 3: Optical Sources and Detectors Sources: Coherent and non-coherent sources, quantum efficiency, modulation capability of optical sources, working principle and characteristics of - LEDs, Laser diodes, Modulation in laser diodes, Detectors: PIN and APD, Noise analysis in optical detectors UNIT 4: Optical Networks Architecture of optical transport networks (OTNs), network topologies, Introduction to Synchronous optical networking (SONET) and synchronous digital hierarchy (SDH).
Herbal Nutraceuticals and Functional Applications of Celosia Argentea and Allied Botanicals
Chapter 1: Introduction to Herbal Nutraceuticals Chapter 2: Botanical and Agronomic Profile of Celosia Argentea Chapter 3: Ethnopharmacological and Traditional Uses Chapter 4: Phytochemical Constituents and Active Principles Chapter 5: Pharmacological Activities and Mechanisms of Action Chapter 6: Toxicological and Safety Evaluation Chapter 7: Formulation Approaches for Herbal Nutraceuticals Chapter: 8 Product Development and Functional Food Applications Chapter: 9 Market Trends and Industrial Perspectives Chapter 10: Future Prospects and Research Opportunities
Copyright (c) 2026 Sushant Ahire; Sushil Kumar, Mukesh Kumar Singh, Vidhan Chand Bala, Sunil Kumar Tiwari, Gauri R. Salave, Shivrani W. Nimbokar, Sakshi S. Waikar, Dharmasoth Rama Devi, Kanikella Sivaji, Kiran Manda, K. Gowtham Kumar, Deepak D. Sonawane; Sunil K. Mahajan, Prerana Pawar; Vrushali Bhalchim, Amit Kumar, Shoheb Shaikh, Ritesh Aher, Sandesh S. Bole, Dharmasoth Rama Devi , Saloni Desai, Pranjal Sachan, Bhavika Mahajan; Shivraj P. Jadhav; Keloth Basavaiah
New era of Artificial intelligence in Pharmaceutical Sciences and Pharmaceutical Industry
The pharmaceutical business has gone beyond the traditional restriction of batch production and a one-fit-all-remedy in the rapidly changing world of 2026. It is this digital revolution that shall be mapped in the following chapters. We begin by the basic revolution that 3D printing has caused in the pharma sphere. New Delivery Systems (NDDS) and Digital Pills, i.e., pills that include ingestible sensors, are now printable, what used to be impossible to obtain due to a shift of manufacturing facilities to the point of care. The AI Revolution in Manufacturing, in which machine learning enhances production operations and real-time predictive analytics prevents the introduction of each batch that would not meet the Good Manufacturing Practice (GMP) standards, is the reflection of this physical breakthrough. We examine the Fundamentals of AI in Drug Discovery in the discovery sphere, where the generative design is significantly reducing the amount of time required in R&D. By applying AI-Driven Approaches in Liposomal Drug Delivery, this intelligence will move down to the molecular level and increase bioavailability as it can accurately calculate the behaviour of nanoscale carriers within the human body. The book explores the outside-of-the-lab patient-facing part of digital health. We discuss the use of Augmented Reality (AR) to transform the patient experience, make prescription of medicine more engaging and promote adherence, and the use of Virtual Reality (VR) as a non-pharmacological pain first line. We also underline the fact of smartphone-analytical chemistry, which offers a patient and a physician with portable tools of real-time medications analysis. Finally, there is the global demand of sustainability and safety. The technological approach of the paper encourages an extensive, technology-driven approach, starting with the application of AI to the diagnosis of diseases up to its vital role in Microplastic Pollution Detection within the pharmaceutical supply chain. We conclude by explaining why AI is of paramount importance in terms of pharmacovigilance, with automated signal detection ensuring that safety of medications is monitored with a speed and a level of accuracy that have never been heard of before. My greatest gratitude to the researchers, engineers, and clinical pharmacists who have contributed this book with their data. Hopefully, this book can be used as a textbook by the upcoming generation and a manifesto by those in charge of the industry who are willing to print the future of medicine. Dr. Dhara Patel Ms. Grishma Patel Dr. Dhananjay Meshram
Copyright (c) 2025 Dhara Patel; Nandini Joshi, Vrusha Jani, Komal Rahevar, Arya Patel, Vaishali Sharma, Janvi Patel, Tejas Patel, Sofiya Patel, Harsh Shirke, Anand Yadav, Satyajit Sahoo, Prasanna Pradhan, Hemanshi Patadiya, Kunj Desai; Grishma Patel, Dhananjay Meshram; Kajal Chavda, Niyati Shah, Mamta Kumari, Chitrali Talele, Piyush Kumar Sadhu, Sushmita Patil, Mukesh Patel, Krushan Joshi
Machine Learning and Artificial Intelligence in Today's Perspective
This book is about the Machine Learning (ML) and the applications of Artificial Intelligence (AI) in the various fields of ML. The authors have explained the use of AI in some of the eminent fields of ML to expand its scope of applicability like: Computing, Agriculture, Healthcare. This book describes the basic building blocks of AI that can be implemented in ML to improve its effectiveness. Also, describes the integration of AI with Cloud to expand its impact / Computing area. As a part of computing process in ML, this book also describes the Data Discretization in Data Mining using ML. This book further evaluates the stack organization explaining the online / remote computing using ML and AI. Additionally, the Blockchain based Voting System using Smart Contract highlights and explains the use of ML and AI. This book in the modern perspective also elaborates the use of ML in resilient agriculture. Further, the use of ML & AI in healthcare applications like: Breast Cancer Detection & Classification and Brain Cancer treatments has been explained. Finally, the dark side of AI mainly the generated threats and attacks have been explained in this book. To conclude, the growing impact of Machine Learning in combination with Artificial Intelligence has been described in this book. We sincerely hope that our work will contribute in providing further research directions in the area of Machine Learning and Artificial Intelligence.
Copyright (c) 2025 Rajeev Kumar Dang; Surinder Singh Khurana, Parvinder Singh, Kounser Ali Mir, Mina Bakhtiyar Ahmad Khan, Umar Farooq, Neeru Mago, Sukhvinder Singh Bamber, Rajeev Kumar Dang, Naveen Dogra, Balwinder Kaur, Rajinder Singh, Gurpreet Singh; Sukhvinder Singh Bamber; Anam Bansal
Artificial Intelligence in Political Science and Political Behavior
The fast-growing artificial intelligence has revolutionized most aspects of political life, such as providing information to citizens, governing, persuading, and organizing collective action by states. Political systems all over the world have been entering the era of an irreparable computational acceleration one which is not solely characterized by technological development, but by its imminent contact with human psychology, mass discourse, and democratic forms. The connection between AI and political science is not a marginal topic of study any longer; it is necessary to learn more about how modern systems of government, voting patterns, and information space interact. This book was written in order to raise this transformational moment. It is one of the most thorough studies to date of how AI is changing political processes, actors and institutions through interdisciplinary lenses that bring in the perspectives of machine learning, political communication, psychology, and governance studies. The book unites the current state of art across its chapters into deep learning, computational propaganda, microtargeting, generative synthetic media, graph machine learning, and reinforcement learning in the electoral setting both the possibilities and the grave damage posed by the technologies. As AI has made predictive algorithms richer, more reactive tools to respond to the public, and offered new dimensions and applications of civic engagement, it has also presented new threats: deepfakes, disinformation pipelines, algorithmic echo chambers, the loss of privacy, and novel means of psychological and geopolitical manipulation. These are complex problems of multidisciplinary nature which require multidisciplinary solutions. It is thus a book that does not merely focus on technical mechanisms but stresses on an ethical framework, regulatory pathways, global governance requirements as well as the societal implication of the computational political systems. This piece of work has fourfold objectives: To capture the technological basis of the AI-based political analysis and communication. To appraise risks and vulnerabilities critically such as adversarial propaganda, synthetic media, and opaque algorithms. In order to measure the actual effects on institution of democracy, citizen trust, election integrity, and groupthink. To map out research imperatives in the future of scholars, policy, technologies, and civil society-to more resilient, open and fair democratic ecosystems. At the birth of a new age, where even the reality of politics becomes algorithmically generated, detected, manipulated, or safeguarded, it is important that scholars and professionals gain a better comprehension of these changes. It is in the interest of that endeavour that this book should be presented as a demanding, non-technical, and visionary manual to students, researchers, and policy participants striving to adjust to the intricacies of AI in politics. I am hoping that the points made here will stimulate more conversations and responsible innovation as well as create a background of the democratic resilience in the age of artificial intelligence.
Securing Large Language Models: Adversarial Attacks, Data Privacy, and Artificial Intelligence Safety
Large language models have completely changed the technological environment. Only a few years later it is now possible to have systems that can produce human-quality text, argue using complex problems, and have a real conversation with someone, right in the possession of millions of people. This revolution has come with unprecedented possibilities- and problems in a big way as well. This book is due to the fact that security cannot be the consistency in terms of artificial intelligence development. With companies using language models to serve customers, train machines to diagnose illnesses and legal software to process a case, the possibilities of security failure in ways never before concievable, have never been greater. A weakness to a conventional software system could reveal information or interrupt services. An example of the use of a large language model is a vulnerability that can be used to manipulate reasoning, retrieve training data, evade safety measures, or use to generate harmful material by using large scale. However, to ensure these systems, one must leave behind the traditional approach to cybersecurity implications. Big language models are not simply processing data they process it in context, produce new output, and have had emergent behaviors not written in its creation that the creators did not explicitly program. They can be attacked using well engineered prompts as opposed to receiving buffer overflow, using poisoned training data as opposed to malicious code, being subjected to subtle statistical inference as opposed to strengthened direct data breaches. The linguistic, probabilistic and constantly changing attack surface. I wrote this book because I need it to reach the practitioners who have to contend with the following realities: the machine learning engineers that create and implement models, the security professionals that implement safeguards on them, the researchers that push the limits of what can be done, and the leaders that make decisions regarding the use of AI. Here you will not only find some theoretical frameworks, but also practical advice based on field experience with attacks and defenses that have been tested in the field and straightforward analysis of what we have been able to know- and what has not been established yet. The first part discusses adversarial attacks: jailbreaks where the authors recover the functionality and operations of the model, prompt injection where the authors supply the target model with adversarial examples, and the cat-and-mouse game in which the authors identify new flaws, and defenders fix them. The second part deals with data privacy, including the risk of models memorizing and pollution training data up to the problem of differential privacy and federated learning. The last part discusses general aspects of AI safety, such as the risks of misalignment, the challenges of effective evaluation, and the governance systems that appear to regulate these technologies. All along the way, I have attempted to be intellectually honest with regard to the condition of the field. Certain issues have refined solutions; some have compromised mitigation solutions. There are those risks that are thoroughly known; some that are still in the extensive discussion. AI security is an infantile field and a lot of what we know is failures and little success. This book encompasses input of a whole community. I owe my utmost thanks to the researchers whose work has become the backbone of our knowledge, the red teams who have released batches of vulnerabilities responsibly and have not used them to their advantage but it has made organizations to share their experiences, both successful and otherwise, so that others can be educated. To the reader: you are coming into this field at an opportune time. The current choices regarding the privacy and security of large language models will determine the future of the field of artificial intelligence. I hope that through this book you have the knowledge and tools that will enable you to make such decisions wisely.
Copyright (c) 2026 Vivek Kumar Anand, Anirban Das, Deeksha Chandawat
Vertical time righteous soul, young time. Righteous soul land. Horizontal time wicked soul, old time. Wicked soul land. Vertical time living young time, runs to righteous soul energy, and creation of knowledge growing Horizontal time living on old time, runs to the wicked soul energy, but creation of knowledge to be decreasing. If a person live on vertical time, a person to be Righteous soul living growing, in the end arrival to the righteous soul living in destination place.
Statistics and the Science of Causal Economics: A New Paradigm for Data Science
Right now is a very important time when data is the most important thing to think about when making choices. Organizations, governments, and researchers have gathered more information than ever before, but many still have trouble with a basic question: How do we go from knowing what happened to understanding why it happened and, more importantly, what will happen if we intervene? This book comes from a simple but deep realization: the most common predictive models in modern data science are good at making predictions, but they don't really help us answer the most important questions about cause and effect in economics and policy. The change from correlation to causation marks a major shift in the way modern data scientists think. For a long time, the most common way to do statistics was by using associations. These techniques are good at finding patterns, but they don't say what makes those patterns happen. A predictive model may accurately forecast that students engaged in tutoring sessions will attain superior examination results; however, it cannot ascertain whether augmented tutoring will genuinely improve outcomes or if high-achieving students simply choose to attend tutoring more frequently. The main point of this book is to help people figure out the difference between making predictions and understanding what causes things to happen. The motivation for this initiative stems from the recognition of numerous policy failures and business decisions that, despite utilizing sophisticated predictive analytics, produced unsatisfactory or even harmful results. When policymakers use correlational data to make decisions, they risk putting in place programs that waste money or, even worse, hurt the people they want to help. The COVID-19 pandemic made this problem very clear. Governments all over the world had a hard time figuring out the cause-and-effect relationships between lockdowns, mask mandates, and vaccination campaigns because they were flooded with correlational data that often pointed in different directions. People from all walks of life will find this book useful. They all need to be able to think about economic events in terms of cause and effect. There is a full framework for graduate students in economics, statistics, and data science that links classical econometrics with modern machine learning. Researchers conducting empirical studies will identify robust methodologies for distinguishing causal effects from both experimental and observational data. Policy analysts who need to look at interventions will get tools that will help them do reliable impact assessments. Causal inference changes the tools data scientists use to analyze data, which is what they need to do to go from prediction to prescription. Business analysts can make smart choices by using frameworks to figure out not only what customers do, but also how they respond to changes in prices, marketing, and product features. The way this book is written shows that the author has a clear idea of how to teach. We start with the basics: explaining why causality is important and introducing the counterfactual reasoning that is the basis for all causal inference. We then put together the statistical and econometric tools we need for reliable causal analysis, always making sure to point out the assumptions that are needed for valid inference. The middle chapters talk about more advanced ways to use observational data to find causal relationships. These include directed acyclic graphs, matching techniques, and causal machine learning. We then apply these ideas to dynamic situations with time-dependent effects and complicated feedback loops that make analysis harder. Lastly, we show how these methods can help people make decisions in the real world about things like policy, business, healthcare, and environmental economics. This book is different from others because it combines three areas that are usually kept separate. We can use classical econometrics to figure out how to think about structures and how to make causal inferences. Modern machine learning offers flexible, data-driven methodologies for estimating various treatment effects and managing high-dimensional confounding variables. Statisticians and computer scientists created causal inference theory, which helps us clarify our assumptions and think about how to intervene. By merging these perspectives, we establish a cohesive framework for outcome-driven decision-making that is both theoretically robust and practically applicable. I emphasize the necessity of transparency regarding the challenges associated with deriving causal conclusions throughout this work. We can test models against actual results when we predict, but when we make causal claims, we have to guess about things we can't see. This book doesn't promise easy answers or step-by-step instructions that will always lead to the truth. Instead, it gives readers the tools they need to make their assumptions clear, check how likely they are to be true, and do sensitivity analyses to see how those assumptions affect the conclusions. This honest admission of uncertainty is not a weakness but a strength; it is the foundation for responsible, credible causal analysis. As we move closer to a future driven by AI, the importance of causal reasoning will only grow. Automated decision systems are having a bigger and bigger impact on the economy. This includes personalized medicine, algorithmic hiring and lending, and ads that are aimed at specific people. If we don't understand the causes, these systems could keep biases going, optimize for the wrong goals, and have big effects that we didn't mean to happen. The last chapter talks about how causal economics can help make AI systems that are fair, open, and accountable, and that really help people. I hope this book will do more than just show you how to use data and make choices; I hope it will also change how you think about them. To go from thinking about the future to thinking about the past, you need to do more than just learn new ways of doing things. We need to completely change how we ask questions, plan analyses, and make sense of results. I really think that this change, no matter how hard it is, is needed to make a future where data science really helps people by helping them make decisions based on facts.
Copyright (c) 2026 Dharmateja Priyadarshi Uddandarao
Discovery of Vertical Time and Horizontal Time
At now my living region is problems of getting old, so that “Absolutely not old, eternity young living” supply and solve this being old, being eternity young time creating is necessary. Here is the book contents are to fit this book, here is attached Here is time saving is living in righteous soul living of righteous soul living behavior then this time can be explained by “0101010101…..” here is “0” is time saving “1” is time consuming, so that someone living must be like “0000010000110000…” this living is time is saved time living, but “1111101111011” livings are do not time save living so then, this living is most time living old time living, but other is time is most time is using young time living(June 12, 2019) in the morning book writing as routine, it is comes, truly so fear to me. This is righteous soul vacant of righteous soul of space can hear broadcasting image, so that righteous soul bring creation of knowledge. These points are supplied to creation of knowledge, in the righteous soul livings vacant space is “0”, and this is vertical time governing time directions. So then, righteous soul living broadcasting is so silent saying, so that the bobble created bottom go up, so that righteous soul living in destination place broadcasting that vertical time direction is “0”, infer that this is vertical time direction of depth place so that wicked soul automatically can’t hear righteous soul living in destination place broadcasting. On today comes how to righteous soul bring “creation of knowledge” June 26, 2019. This is righteous soul time orbit is “0”, righteous soul living even voyage macro and micro concept world time but the time is still all to be living vertical time “0” Therefore even now living in the macro concept world righteous soul living time is still vertical time of “0” and young time. Thank god, heavenly father your giving creation of knowledge. Righteous souls living in the macro concept world, then all times is “0” This is clear now. So then, here is righteous soul living voyage is “00000000000” “young time” it appeared up. So that righteous soul living can hear broadcasting from righteous soul living in destination place on the orbit of righteous souls traveling time of “0000000000000000” this is what, “the poor & righteous soul” “righteous soul & nothing”, this righteous souls all hear broadcasting from righteous soul living in destination place. Righteous soul mission carry righteous soul living is “0101010101010”, righteous soul survive of “0” time but to save lover of wicked soul “1” so that righteous soul living is really hard time with that, while this righteous soul mission is clear then, “1010100101010010101000000000”, but righteous soul living mission failure then, “01010100101101111111111” so that righteous soul to be wicked soul time living of, righteous soul living disappeared from righteous soul living in destination place communication. Truly horizontal time is “0123456789” so as time goes getting old time. But there is no move horizontal time so still “0” vertical direction time still keep “0” So that still time saves even value of horizontal time is 100 years value but still Vertical time is “0”. Living righteous soul creator designed role play living is vertical time living of creation of knowledge getting. Here is righteous soul living vertical time young time is getting harvest and fruit, this energy all using righteous soul living behavior “it shares time with other, help other, but also doing real love other”, so that as living in righteous soul in the macro concept world is fruit is safe come back to the righteous soul living in destination place so that all of macro concept world fruit and harvest all shares with poor and righteous souls. Righteous soul living “poor and righteous soul”=”it shares time with other, help other, but also ding real love other” then, the living is possible righteous soul mission clear of “01” righteous soul to be stronger to the wicked soul then, this mission is possible to be clear.In this image 01, 01, 01, 01, 01 this is vertical time of “0” of righteous soul living is go deeper but wicked soul of “1” keep decreased as righteous soul runs to vertical time living, so that this is righteous soul front line, as righteous soul runs to the deepest then wicked soul decreased to almost to zero, so that lover of wicked soul create to righteous soul. Righteous soul young time, wicked soul old time Righteous soul young time + creation of knowledge = vertical time of young time= convergence = correction of righteous soul voyage orbit = complete macro concept world voyage = reach at righteous soul living in destination place Wicked soul old time + old knowledge = horizontal time of old time =divergence = lost road; there is no road =incomplete macro concept world voyage = fallen to the wicked soul living in destination place. This is very important vertical time living of righteous soul, righteous soul me save and creature other wicked soul to create righteous soul, this is so huge important for system, organization to be living in vertical time of young time living. A company and country to be living in righteous souls of vertical time living is must be hearing broadcasting from righteous soul living in destination place, creation of knowledge is “Helping saving from wicked soul to righteous soul being, Until then righteous soul me living also” so important, a righteous soul must meet other of wicked soul, then righteous soul me, do save other wicked soul to be created as righteous souls. This chain is keep then, the organization to be living in vertical time living and young time living of an organization. Truly infer that Righteous souls are voyage so that voyage livings all voyage so that righteous soul to be comeback to the voyage beginning righteous soul living in destination place, so that it don’t necessary voyage necessary so that 123456789=123456789, to be safe returning to the righteous soul living in destination place, it required to be “01234567890 =00” because soon to be safe returning not any more voyage energy, because righteous soul to be living in the beginning “00” young time, so then voyage “123456789” do necessary all used righteous soul living energy, this is help righteous souls but also righteous soul living safe returning to the righteous soul living in destination place.
Chapter 1: Shoulder Joint – Introduction (Anatomy) Chapter 2: Frozen Shoulder (Adhesive Capsulitis) – Introduction Chapter 3 Prevalence of Frozen shoulder Chapter 4: Causes of Frozen Shoulder (Adhesive Capsulitis) Chapter 5: Pathology of Frozen Shoulder (Adhesive Capsulitis) Chapter 6: Clinical features of Frozen shoulder Chapter 7: Diagnosis of Frozen Shoulder Chapter 8: Special Tests in Frozen Shoulder – Introduction and Details Chapter 9: Differential Diagnosis of Frozen Shoulder (Adhesive Capsulitis) Chapter 10: Complications of Frozen shoulder Chapter 11: Management of Frozen Shoulder (Adhesive Capsulitis) Chapter 12: Home Advice, Dos and Don’ts in Frozen Shoulder
Copyright (c) 2026 Kirupa. K, Bernard Ebenezer Cyrus, Soundarya V, T. Suganya, Pavithra D
Chemistry of Main Group Elements and Organic Chemistry
Chapter 1: Chemistry of Alkenes Chapter 2: Chemistry of Alkynes Chapter 3: Stereochemistry Chapter 4: Liquid State Chapter 5: General studies of s block elements Chapter 6: Solid State Chapter 7: p-Block Elements
Copyright (c) 2026 Rajendra Kumar, Arvind Kumar Yadav, Prakash Chandra
Emerging Research Trends in Pharmaceutical Sciences
This edited book covers the topics which are useful in research projects for B. Pharm, M. Pharm & PhD students. A major problem with drugs is the lack of selectivity and specificity of action and pronounced undesirable (side or toxic) effects. Thus, in modern day research greatest attention is being paid to 'optimization of drug delivery by maximizing efficacy and minimizing toxicity. We have come a long way in this direction but are still far away from it. The field of Controlled and Novel Drug Delivery is dynamic, more and more advances are being reported through literature and patents and it is the endeavor of this author to disseminate the latest information to the students and teachers. The contents of this included chapters on Nanoemulsion, Microbeads, Sublingual Tablets, Fast Dissolving Tablets, Floating Tablets, Herbal Elixirs, treatment of various diseases etc. This book is structured in such a way that basic concepts, methodologies, Formulation, evaluation, applications and future prospective give systematic understanding of research projects. This book also covers various advances including applications potential and research exploration possibilities. We are grateful to Deep Science publishers for their enthusiasm in bringing out this book. We express our deep sense of gratitude to our family for their love, support and motivation in academics and research. Your feedback is most welcome to make the future edition of this text book more valuable for students.
Copyright (c) 2026 Kiran Chandrakant Mahajan, Ganesh Yogiraj Dama
Basics of Food Science for Health and Nutrition: An Introductory Textbook
Cooking as art has captured the attention of people since time immemorial making simple products enjoyable and nutritious meals. However, one should take a closer look and you will realize that there is a fascinating world behind all the sizzles and the pleasant smell of freshly baked bread whose forces are ruled by the principles of science. The textbook, Basic food science and cooking techniques is based on the assumption that in order to master the art of culinary, one has to have a clear grasp of the science behind it all. We as chefs, home cookers, food lovers and students have found ourselves following recipes, either more successfully or failing. However, what about when a dish does not work out so well? Or when we get the desire to modify a recipe, create something new or find a solution to a cooking issue? Our capacity to change and evolve is not very much in the absence of the knowledge of the reason behind the means. That is the gap that this book will fill, and you will have the knowledge to not only follow recipes but to actually know and work with the ingredients and techniques that you are working with. We will commence our tour of these pages by dissecting the basic building blocks of food carbohydrates, proteins, fats, vitamins and minerals and examining their unusual structures and reactions in various circumstances. Then we will explore some of the most important cooking techniques, both dry-heat cooking, such as roasting and grilling, and moist-heat cooking, such as braising and poaching, and the scientific processes that occur at each of those steps. In addition to single ingredients and methods, we will discuss some even larger concepts such as emulsions, foams, fermentation and the science of flavor which will provide you with a comprehensive set of tools when it comes to culinary explorations. The textbook has been designed to accommodate diverse readers of every kind such as culinary students who want to have a good background, aspiring chefs who want to acquire more knowledge and those who simply want to be good home cookers. It is made easily understandable and comprehensive and it combines ease of use with seriousness so that you can succeed in your cooking career.
Copyright (c) 2026 Renuka V, M. Isai, K. Raja, R. Manjula, Flora Shah, K. Nagaraj
Agriculture, Finance, and Sustainability: Emerging Challenges and Future Pathways
Farming has continued to be one of the pillars of economic growth, food security, and livelihood particularly in the emerging and developing economies. Nonetheless, the industry is experiencing a spell of high stress. There is an interaction effect resulting in increased uncertainty to farmers and agribusiness because of the climate variability and extremes, natural resource degradation, market volatility, and changing policy and trade environments. Such dislocations no longer remain on the farm gate. They have a growing influence on the ability to pay credit, the sustainability of insurance, and making investment choices, and the stability of financial institutions, serving the rural economy. This fact reveals one of the main shortcomings of most current practices: agriculture, finance, and sustainability are discussed as the areas and not a collective system. That gap is bridged by the edited volume with the involvement of multidisciplinary input which studies the changing agriculture-finance-sustainability nexus. The chapters are a synthesis of views of agriculture economics, finance, development, sustainability research, digital innovation, and governance. Together, they demonstrate why it is not possible to have sustainable agriculture without a strong financial architecture and why financial stability is becoming more reliant on climate-resilient and sustainability-consistent agricultural structures. One of the leitmotifs of the volume is the transmission of risks: climate-based shocks and production volatility may turn into credit stress, slowdown recovery, and systemic weakness. Instruments that can minimize exposure and enhance resilience are also paid special attention in the book. Another line of chapters examines agricultural insurance and credit risk modelling, with particular emphasis on the way climate information and index-based mechanisms can enhance the levels of transparency and speed of intervention, as well as considering design issues like basis risk are compromising of trust and performance when compensation is not equal to actual field loss. The other stream concentrates on the economic rationale of sustainability transitions. Many sustainable agribusiness practices lead to necessary investment in the meantime and institutional commitment, but it may actually better the variability in the long-run and make agribusiness more resilient. The volume shows a greater association of sustainability with main financial performance, cost base, exposure to risks, profitability profile, and creditworthy than regarding sustainability solely as an ethical or legal issue. The book additionally discusses the fact that Agri-FinTech and digital ecosystems are surging and transforming rural finance. Digital public infrastructure, interoperable data systems and platform-based models of delivery can reduce the cost of a transaction, increase coverage, and enhance targeting of credit and insurance. Meanwhile, the chapters acknowledge that digitalization is raising new policy issues, namely, data governance, interoperability, affordability, last-mile connectedness, and farmer literacy, which needs to be considered so that the digital divide does not continue to reproduce the old inequalities in fresh forms. Another closely related body of work covers the topic of Agriculture 4.0 and smart farming adoption where it is stated that the results of technological implementation are determined by local conditions. Where the developed world tends to utilize economies of scale under capital-intensive and precision systems, smallholder-dominated nations have varied challenges and opportunities, which demand low-cost, inclusive, and institutionally sponsored opportunities. Through adoption lenses which construct links between technology, organizational capacity and the wider environment, the book determines what facilitates uptake- and what prevents it- in practice. Besides in farms and financial products, the volume broadens the focus to the form of agricultural markets. Chapters on value chains and MSMEs indicate that value chain performance is also influenced by the fact that production is not the only factor that affects value chain performance, but rather by the aggregate, logistics, standards, processing, market access, and availability of finance among other factors along the chain. Value chain strengthening can increase incomes and decrease losses of farmers, however, it is necessary to coordinate interventions not single schemes but comprehensive ones, including financial, institutional, and technological. Lastly, the book acknowledges the fact that sustainable development requires a harmonizing of governance and policy. Incentives and outcomes all over the system are determined by ownership structures, corporate governance in the agro-firms, and the point of direction of the public expenditure. Only supported by credible institutions, effective regulation, and investments by governments in a way that puts more emphasis on productivity-enhancing public goods and inclusions can financial innovations be expanded so as to strengthen resilience. This book targets a wide range of readers: researchers and postgraduates who need to find combined principles; policymakers that need to create agricultural and financial solutions that can withstand climate change; practitioners in the spheres of banking, insurance, and technological finance; and people employed in agribusiness and value chains as well as technology platforms. We want to get the gap between conceptualization and practical evidence and policy relevance- providing a consistent perspective of how finance, technology, governance, and sustainability can be mutually defining in the creation of resilient agricultural futures. We also hope the book leads readers beyond siloed solutions into the realm of system thinking in which climate adaptation, financial inclusion, productivity growth and environmental stewardship are all addressed in a concerted effort through a co-ordinated design. The rest of the restraints is upon us, and we can embrace further academic work and practitioner consultation to make this developing discipline robust.
Copyright (c) 2026 Ashutosh Parhi, Anupriya Panda
Academic and Research Writing: Critical Thinking, Methodology, and Scholarly Writing
Writing is the medium of transition between thought and knowledge, between inner knowledge and open conversation. Academic and research writing is not just a technical art, but a form of thinking, questioning and engaging in the common search of truth. The book Academic and Research Writing: From Ideas to Publication is authored under the assumption that good writing develops out of good thinking and that both can be developed through practice, coaching and self-reflection. Many students, researchers and teachers in any field usually have the same problems: how to work out ideas into clear arguments, how to use sources in a manner that is ethical, how to write confidently, or how to fulfill the requirements of academic communities. Academic writing is viewed as strict and frightening by many learners and is full of rules and formalities. However, deep down, academic writing is merely a rigorous kind of dialogue one where writers pay keen attention to what has already been said, meditate about ideas, and present a line of reasoning of their own. The book is structured in a way that it takes readers through the whole process of writing academic and research papers. It starts with the basics of academic writing, its aims, organization and procedures and slowly progresses to the more skilled types like argumentation, critical writing, disciplinary writing styles, clarity of language and lastly, publication and presentation of academic work. Each chapter is constructed on the one before it and it demonstrates that there is no single writing, but it is constant questioning, drafting, refining and revising. The chapters focus on the fact that writing is not anonymous to thinking. In writing we learn what we really are sure of, what we really know and all that is yet unclear. Writing can also make us challenge our thoughts, sharpen our arguments and be able to communicate responsibly with others. The same main principles, regardless of whether it is a case of an essay, a research paper, a thesis, or a journal article, are clarity, evidence, logic, and ethical integrity. This book targets students, early-career researchers and teachers, who operate in various disciplinary and cultural settings. It is aware that academic writing does not take the same form everywhere; it varies in different disciplines like humanities, social sciences, natural sciences and professional studies. Simultaneously, it emphasizes the common set of values, which hold all scholarly writing in common: respect towards evidence, good judgment, and veracity in representation. This book is aimed not to give strict formulae but to work out the cognition. It does not just present rules but also provides the rationale behind the academic conventions, therefore, the readers would apply them intelligently instead of applying them blindly. Examples, explanations and discussions are made in easily accessible language such that even sophisticated concepts regarding writing and research may be comprehended by the learners at various levels. Last but not least, this book is authored in high regard of learners. Being a non-writer is not the same as being dumb, rather it is learning something complicated that requires time. All good writers were already beginners. Through patience, practice and advice, anyone can learn that he can write with clarity, make a case and add value to both academic and professional life. Should this book assist readers in thinking more clearly, writing more confidently and engaging in the world of ideas more, it will surely have served its end.
Crisis of Human Being on Artificial Intelligence Time
Human animal God of human Human god of righteous soul Human animal, god of human, human god of righteous soul all is seen same human being. If why all same human being! Are you creating a book of “emergency, critical situation of human being”? The answer is decreasing number of gods of human being so then, human god of righteous soul who safe returning to the righteous soul living in destination place. But emergency and critical situation of human being is speed increasing human animal. So that All human beings are lost god of human being simple living ways “it shares time with other, help other, but also doing real love other”, this simple living is interesting and pleasure of excitement. So then If living possible of “it shares time with other, help other, but also doing real love other” then god of human But if not possible then, the living is human animal living. What is human god of righteous soul? As god of human, the living is inside feeling is “silence and clean clear and get a bubble of creation of knowledge” then, human god of righteous soul. “emergency, critical situation of human being” Decreased to there is no Human god of righteous soul who supplied righteous soul creation of knowledge. But also, fast decreased God of human. Urgent and fear of dangerous of human being is keep increasing multiple number of human animals. This is really emergency, critical situation of human being.