Build your company’s next-generation growth strategy by using emerging technologies to disrupt your field and energize your business In Digital Operating Model: The Future of Business, digital strategist and execution expert Rajesh Sinha delivers a robust and practical operating blueprint for digital transformation. Applicable to any industry, any size company, this playbook helps executives, professionals, managers, founders, owners, and other business leaders understand the importance and realize the benefits of a digital future for their companies—all without having to spend massive amounts of money in the process. The author explores effective methods to create multiple digital accelerators, develop cultural alignment that fosters innovation and delivers rapid solutions, and shares insights into the new mantras of our goods-and-services on-demand economy. Readers will also find: Step-by-step guidance to implementing a digital platform strategy that leads to exponential business growth Methods for designing and applying new businesses processes that create better experiences internally for your teams and externally for your customers and customers’ customers, which also leads to exponential business growth Real-life examples and case studies of businesses that have achieved successful digital acceleration and grown dramatically in the process Digital Operating Model shows readers how to meet their professional objectives while realizing profound transformation that offers innovative and durable differentiation both in terms of purpose and profits.

Guide to instruments used in ophthalmic surgery for trainees covering subspecialty procedures and commonly used instruments. Includes chapters on needles and sutures, and sterilisation of surgical instruments.

**Build your company’s next-generation growth strategy by using emerging technologies to disrupt your field and energize your business** In __Digital Operating Model: The Future of Business__, digital strategist and execution expert Rajesh Sinha delivers a robust and practical operating blueprint for digital transformation. Applicable to any industry, any size company, this playbook helps executives, professionals, managers, founders, owners, and other business leaders understand the importance and realize the benefits of a digital future for their companies—all without having to spend massive amounts of money in the process. The author explores effective methods to create multiple digital accelerators, develop cultural alignment that fosters innovation and delivers rapid solutions, and shares insights into the new mantras of our goods-and-services on-demand economy. Readers will also find: - Step-by-step guidance to implementing a digital platform strategy that leads to exponential business growth - Methods for designing and applying new businesses processes that create better experiences internally for your teams and externally for your customers and customers’ customers, which also leads to exponential business growth - Real-life examples and case studies of businesses that have achieved successful digital acceleration and grown dramatically in the process __Digital Operating Model__ shows readers how to meet their professional objectives while realizing profound transformation that offers innovative and durable differentiation both in terms of purpose and profits.

Build your company’s next-generation growth strategy by using emerging technologies to disrupt your field and energize your business In Digital Operating Model: The Future of Business , digital strategist and execution expert Rajesh Sinha delivers a robust and practical operating blueprint for digital transformation. Applicable to any industry, any size company, this playbook helps executives, professionals, managers, founders, owners, and other business leaders understand the importance and realize the benefits of a digital future for their companies—all without having to spend massive amounts of money in the process. The author explores effective methods to create multiple digital accelerators, develop cultural alignment that fosters innovation and delivers rapid solutions, and shares insights into the new mantras of our goods-and-services on-demand economy. Readers will also find: Step-by-step guidance to implementing a digital platform...

Nature Machine Intelligence, doi:10.1038/s42256-025-00992-1

PRELIMS.pdf Preface Acknowledgements Editor biography G R Sinha List of contributors CH001.pdf Chapter 1 Introduction and background to optimization theory 1.1 Historical development 1.1.1 Robustness and optimization 1.2 Definition and elements of optimization 1.2.1 Design variables and parameters 1.2.2 Objectives 1.2.3 Constraints and bounds 1.3 Optimization problems and methods 1.3.1 Workflow of optimization methods 1.3.2 Classification of optimization methods 1.4 Design and structural optimization methods 1.4.1 Structural optimization 1.4.2 Design optimization 1.5 Optimization for signal processing and control applications 1.5.1 Signal processing optimization 1.5.2 Communication and control optimization 1.6 Design vectors, matrices, vector spaces, geometry and transforms 1.6.1 Linear algebra, matrices and design vectors 1.6.2 Vector spaces 1.6.3 Geometry, transforms, binary and fuzzy logic References CH002.pdf Chapter 2 Linear programming 2.1 Introduction 2.2 Applicability of LPP 2.2.1 The product mix problem 2.2.2 Diet problem 2.2.3 Transportation problem 2.2.4 Portfolio optimization 2.3 The simplex method 2.4 Artificial variable techniques 2.5 Duality 2.6 Sensitivity analysis 2.7 Network models 2.7.1 Shortest path problem 2.8 Dual simplex method 2.9 Software packages to solve LPP Further reading CH003.pdf Chapter 3 Multivariable optimization methods for risk assessment of the business processes of manufacturing enterprises 3.1 Introduction 3.2 A mathematical model of a business process 3.3 The market and specific risks, the features of their account 3.4 Measurement of the risk of using the discount rate, expert assessments and indicators of sensitivity 3.5 Conclusion References CH004.pdf Chapter 4 Nonlinear optimization methods—overview and future scope 4.1 Introduction 4.1.1 Optimization 4.1.2 NLP 4.1.3 Nonlinear optimization problem and models 4.2 Convex analysis 4.2.1 Sets and functions 4.2.2 Convex cone 4.2.3 Concave function 4.2.4 Nonlinear optimization: the interior-point approach 4.3 Applications of nonlinear optimizations techniques 4.3.1 LOQO: an interior-point code for NLP 4.3.2 Digital audio filter 4.4 Future research scope References CH005.pdf Chapter 5 Implementing the traveling salesman problem using a modified ant colony optimization algorithm 5.1 ACO and candidate list 5.2 Description of candidate lists 5.3 Reasons for the tuning parameter 5.4 The improved ACO algorithm 5.4.1 Dynamic candidate set based on nearest neighbors 5.4.2 Heuristic parameter updating 5.5 Improvement strategy 5.5.1 2-Opt local search 5.6 Procedure of IACO 5.7 Flow of IACO 5.8 IACO for solving the TSP 5.9 Implementing the IACO algorithm 5.10 Experiment and performance evaluation 5.10.1 Evaluation criteria 5.10.2 Path evaluation model 5.10.3 Evaluation of solution quality 5.11 TSPLIB and experimental results 5.11.1 Experiment 1 (analysis of tour length results) 5.11.2 Experiment 2 (comparison of convergence speed) 5.12 Comparison experiment 5.13 Analysis on varying number of ants 5.13.1 Analysis of ants starting at different cities versus the same city 5.13.2 Analysis on an increasing number of ants versus number of iterations 5.14 IACO comparison results 5.15 Conclusions References CH006.pdf Chapter 6 Application of a particle swarm optimization technique in a motor imagery classification problem 6.1 Introduction 6.1.1 Literature review 6.1.2 Motivation and requirements 6.2 Particle swarm optimization 6.2.1 The mathematical model of PSO 6.2.2 Constraint-based optimization 6.3 Proposed method 6.3.1 Materials and methods 6.3.2 Classification 6.4 Results 6.5 Conclusion References CH007.pdf Chapter 7 Multi-criterion and topology optimization using Lie symmetries for differential equations 7.1 Introduction 7.2 Fundamentals of topological manifolds 7.2.1 Analytic manifolds 7.2.2 Lie groups and vector fields 7.3. Differential equations, groups and the jet space 7.3.1 Prolongation of group action and vector fields 7.3.2 Total derivatives of vector fields and general prolongation formula 7.3.3 Criterion of maximal rank and infinitesimal invariance for differential equations 7.3.4 Differential equations and symmetry groups 7.3.5 Differential invariants and the group invariant solutions 7.4 Classification of the group invariant solutions and optimal solutions 7.4.1 Adjoint representation for the cKdV and optimization of the group generators 7.4.2 Calculation of the optimal group invariant solutions for the cKdV 7.5 Concluding remarks References CH008.pdf Chapter 8 Learning classifier system 8.1 Introduction 8.2 Background 8.3 Classification learner tools 8.3.1 MATLAB®: classification learner app 8.3.2 BigML® 8.3.3 Microsoft® AzureML® 8.4 Sample dataset 8.4.1 Splitting the dataset 8.5 Learning classifier algorithms 8.5.1 Logistic regression classifiers 8.5.2 Decision tree classifiers 8.5.3 Discriminant analysis classifiers 8.5.4 Support vector machine classifiers 8.5.5 Nearest neighbor classifiers 8.5.6 Ensemble classifiers 8.6 Performance 8.6.1 Confusion matrix 8.6.2 Receiver operating characteristic 8.6.3 Parallel plot 8.7 Conclusion Acknowledgments References CH009.pdf Chapter 9 A case study on the implementation of six sigma tools for process improvement 9.1 Introduction 9.1.1 Generation and cleaning of BF gas 9.2 Problem overview 9.3 Project phase summaries 9.3.1 Definition 9.3.2 Measurement 9.3.3 Analyze and improvement 9.3.4 Control 9.4 Conclusion 9.4.1 Financial benefits 9.4.2 Non-financial benefits CH010.pdf Chapter 10 Performance evaluation and measures 10.1 Performance measurement models 10.1.1 Fuzzy sets 10.2 AHP and fuzzy AHP 10.2.1 Fuzzy AHP 10.2.2 Linear programming method 10.3 Performance measurement in the production approach 10.3.1 Free disposability hull 10.4 Data envelopment analysis 10.4.1 CCR model 10.4.2 BCC model 10.4.3 Other models 10.5 R as a tool for DEA References CH011.pdf Chapter 11 Evolutionary techniques in the design of PID controllers 11.1 PID controller 11.1.1 Design procedure 11.1.2 Method 1: PID controller design using PSO 11.1.3 Method 2: PID controller design using BBBC 11.2 FOPID controller 11.2.1 Statement of the problem 11.2.2 BBBC aided tuning of FOPID controller parameters 11.2.3 Illustrative examples 11.3 Conclusion References CH012.pdf Chapter 12 A variational approach to substantial efficiency for linear multi-objective optimization problems with implications for market problems 12.1 Introduction 12.2 Background 12.3 A review of substantial efficiency 12.4 New results and examples 12.5 Conclusion References CH013.pdf Chapter 13 A machine learning approach for engineering optimization tasks 13.1 Optimization: classification hierarchy 13.2 Optimization problems in machine learning 13.3 Optimization in supervised learning 13.3.1 Bayesian optimization 13.3.2 Bayesian optimization for weight computation: a case study 13.3.3 Bayesian optimal classification: a case study 13.3.4 Bayesian optimization via binary classification: a case study 13.4 Optimization for feature selection 13.4.1 Feature extraction using precedence relations: a case study 13.4.2 Feature extraction via ensemble pruning: a case study 13.4.3 Feature-vector ranking metrics References CH014.pdf Chapter 14 Simulation of the formation process of spatial fine structures in environmental safety management systems and optimization of the parameters of dispersive devices 14.1 The use of spatial finely dispersed multiphase structures in ensuring ecological and technogenic safety 14.1.1 Analysis of recent research and publications 14.1.2 Statement of the problem and its solution 14.2 Physical and mathematical simulation of the creation process of spatial finely dispersed structures 14.2.1 Gas phase study and mathematical model description 14.2.2 Dispersed phase study and mathematical model description 14.2.3 Mathematical model of interfacial interaction 14.3 Numerical simulation of the formation of spatial dispersed structures and the determination of the most effective ways of supplying fluid to eliminate various hazards 14.3.1 Ensuring numerical solution stability, convergence and accuracy 14.3.2 Description of the numerical integration method of the dispersed phase equations 14.3.3 Results of numerical simulation of a spatial finely dispersed structure creation process which suppresses dust 14.3.4 Results of numerical simulation of the spatial finely dispersed structure creation process, which instantly reduces the gas stream temperature 14.4 General conclusions References CH015.pdf Chapter 15 Future directions: IoT, robotics and AI based applications 15.1 Introduction 15.1.1 The impact of AI and robotics in medicine and healthcare 15.1.2 Advances in AI technology and their impact on the workforce 15.1.3 AI technologies and human intelligence 15.2 Cloud robotics, remote brains and their implications 15.2.1 Cloud computing and the RoboEarth project 15.2.2 The DAvinCi platform as a service (PaaS) surgical robot 15.3 AI and innovations in industry 15.3.1 Watson Analytics and data science 15.4 Innovative solutions for a smart society using AI, robotics and the IoT 15.4.1 Cyber-physical systems (CPSs) 15.4.2 IoT architecture, its enabling technologies, security and privacy, and applications 15.4.3 The Internet of robotic things (IoRT) and Industry 4.0 15.4.4 Cloud robotics and Industry 4.0 15.4.5 Opportunities, challenges and future directions 15.5 The human 4.0 or the Internet of skills (IoS) and the tactile Internet (zero delay Internet) 15.6 Future directions in robotics, AI and the IoT References CH016.pdf Chapter 16 Efficacy of genetic algorithms for computationally intractable problems 16.1 Introduction 16.2 Genetic algorithm implementation 16.3 Convergence analysis of the genetic algorithm 16.4 Key factors 16.4.1 Exploitation and exploration 16.4.2 Constrained optimization 16.4.3 Multimodal optimization 16.4.4 Multi-objective optimization 16.5 Concluding remarks References CH017.pdf Chapter 17 A novel approach for QoS optimization in 4G cellular networks 17.1 Mobile generations 17.2 OFDMA networks 17.2.1 Limitations of FDMA, TDMA and WCDMA networks 17.2.2 Features of OFDMA networks 17.2.3 Quality of service in OFDMA networks 17.2.4 QoS improvement techniques in OFDMA networks 17.3 Simulation model and parameters 17.3.1 Simulation topology 17.3.2 Performance metrics 17.4 Adaptive rate scheduling in OFDMA networks 17.4.1 Introduction 17.4.2 Adaptive rate scheduling algorithm 17.4.3 Average scheduling delay estimation for the ARS scheme 17.5 Conclusions References

This book will incorporate a multimodality approach toward inflammatory bowel diseases. Up to date imaging methodologies will be described along with their strengths and weaknesses that will help in providing a rational diagnostic strategy for clinical, surgical and support teams working with these patients. Advances in medical and surgical treatment would be detailed and these would be useful to readers and professionals keen to implement these techniques in their own clinical practice. Erscheinungsdatum: 05.12.2014

This book is a compilation of contributed works on management of data in the age of artificial intelligence. The AI technologies have changed the way the businesses do manage themselves in modern times. It becomes much more important to manage the data a business owns when the same can be collated and used by the allied AI technologies for forming business decisions. This book highlights how AI and machine learning can help businesses categorise and manage their organizational data. The book introduces how small businesses can benefit from AI technologies for their data management with limited budgets. The book advocates for making AI processes to be core part of consumer experience and support management within the businesses. As a unique feature, this book also goes to make an awareness as to how human brain can use AI’s deep learning capabilities to make reflective decisions. The book also introduces as to how big data and big data analytics can help agriculture and farm management sector. It is hoped that the readership will find this book useful in the areas of big data management, machine learning and data decisions, AI technologies for small businesses, usage of AI in emerging sectors and those areas where data needs to managed in an environment of automation.

New Journal of Chemistry (2019), 43, 9012-9020, doi:10.1039/C9NJ00726A

"Human Rights and the Third World: Issues and Discourses deals with the controversial questions on the universalistic notions of human rights. It finds Third World perspectives on human rights and seeks to open up a discursive space in the human rights discourse to address unresolved questions in human rights, citing issues and problems from different countries in the Third World: a) Whether alternative perspectives should be taken as the standard for human rights in the Third World countries? b) Should there be a universalistic notion of rights for Homo sapiens or are we talking about two diametrically opposite trends and standards of human rights for the same species? c)How far these Third World perspectives of human rights can ensure the protection of the minorities and the vulnerable sections of population particularly the women and children within the Third World? d) Can these alternative perspectives help in fighting the Third World problems like poverty, hunger, corruption, despotism, social exclusion like the caste system in India, communalism, and the like? e) Can there be reconciliation between the Third World perspectives and the Western perspective of human rights?"--Publisher's description

This Volume Provides A Comprehensive And State-of-the-art Overview Of The Current Diagnosis And Treatment Strategies For Crohn?s Disease. Care Of These Patients And Clinical Conditions Can Be Quite Complex And Often Require A Multidisciplinary Approach. Sections Of The Book Are Based On The Most Current, Evidenced-based Resources And Have Been Structured To Review The Etiology And Diagnosis Of Crohn?s Disease, Discuss Advances In Medical And Surgical Treatment, Illustrate Emerging Technologies Impacting The Care Of Patients With Crohn?s Disease, And Examine Functional And Quality Of Life Outcomes In This Patient Population. The Text Reviews Our Understanding Of The Influence Of Molecular And Genetic Factors In The Development And Pattern Of Crohn?s Disease. Current Methods Of Diagnosis And Strategies In The Medical Management Of Patients With Crohn?s Disease Are Evaluated Including The Use Of Biologic Agents. Resection And Bowel Sparing Techniques For Primary And Recurrent Disease As Well As Advances In Endoscopy And Laparoscopy Are Discussed In Detail. In Addition, Factors Influencing The Quality Of Life Of Patients With Crohn?s Disease Are Examined Including Nutrition, Enterostomal Care, Fertility, And Sexual Function. Written By Recognized Experts In Their Field, Crohn?s Disease: Basic Principles Highlights The Integrated Multidimensional Aspect Of Caring For Patients With Crohn?s Disease And Will Be Of Great Value To Colon And Rectal Surgeons, General Surgeons, Gastroenterologists, Internists, As Well As Fellows And Upper Level Residents In Training. 1. Introduction, Acknowledgements -- 2. History -- 3. Molecular And Genetic Factors In Cd -- 4. Medical Therapy -- 5. Diagnostics -- 6. Surgery -- 7. Recurrent Cd -- 8. Extraintestinal Manifestations -- 9. Enterostomal Therapy -- 10. Nutrition -- 11. Fertility/sexual Function -- 12. Qol. Arumugam Rajesh, Rakesh Sinha, Editors. Includes Bibliographical References And Index. Mode Of Access: World Wide Web.

This reference book provides updated information about different immunomodulators for managing fish health and sustainable aquaculture. Immunomodulators are dietary additives that enhance innate defense mechanisms and increase resistance against specific pathogens and diseases. The book covers the different types of immunostimulants, their modes of action, and their efficacies. It also reviews safety concerns, ethical regulations, limitations, and outreach to farmers. It discusses the application of herbal immunomodulators, antioxidants, pre- and pro-biotics, in disease management. Features: Reviews the pressing topic of reduction of antibiotic use in aquaculture Discusses herbal immunomodulators, nutrients, antioxidants and pre- and pro-biotics Covers the topic of progressive immunomodulation using nanotechnology Discusses fish health management in the ever-growing aquaculture industry Includes natural and synthetic immunomodulators The book is meant for researchers and industry experts in aquaculture, fisheries science, and veterinary medicine.

Cover 1 SYLLABUS 4 CONTENTS 6 CHEMISTRY LABORATORY 8 1. SURFACE CHEMISTRY 16 2. CHEMICAL KINETICS 24 3. THERMOCHEMISTRY: DETERMINATION OF ENTHALPY OF SOLUTION AND ENTHALPY OF NEUTRALIZATION 30 4. ELECTROCHEMISTRY: VARIATION OF CELL POTENTIAL WITH CHANGE IN CONCENTRATION OF ELECTROLYTE 37 5. CHROMATOGRAPHY 41 6. PREPARATION OF INORGANIC COMPOUNDS 45 7. PREPARATION OF ACETANILIDE, DIBENZAL ACETONE, p-NITRO ACETANILIDE AND β-NAPHTHOL ANILINE DYE 51 8. TEST FOR FUNCTIONAL GROUPS IN ORGANIC COMPOUNDS 55 9. STUDY OF CARBOHYDRATES, FATS AND PROTEINS 62 10. VOLUMETRIC ANALYSIS (REDOX TITRATION) 66 11. QUALITATIVE INORGANIC ANALYSIS 85 INVESTIGATORY PROJECTS 108 Appendix I-II 172 Log Tables 177