Bücher von Deepak Kumar

La diabetes mellitus se considera una de las enfermedades cruciales entre las demás enfermedades que afectan a un gran número de personas y crecen a un ritmo experimental en todo el mundo. Hay muchas razones para la diabetes que incluyen la dieta y la falta de actividades físicas. Uno de los sistemas de control fisiológico más complicados y cruciales en los seres humanos es el sistema regulador de glucosa-insulina. Los efectos biológicos hormonales, causantes de la homeostasis de la glucosa en el cuerpo humano para la regulación de los niveles de glucosa-insulina en valores normales, se consideran parámetros en estos modelos. Debido a las cuestiones morales, las limitaciones fisiológicas y los elevados costes de la experimentación humana, la modelización matemática es un enfoque bien conocido en la adquisición de datos fiables para la enfermedad de una manera segura y práctica. En este trabajo se han propuesto nuevos modelos matemáticos del sistema regulador glucosa-insulina con la ayuda de ecuaciones diferenciales y técnicas estadísticas teniendo en cuenta parámetros de la vida real como los efectos biológicos hormonales, etc.

Le diabète sucré est considéré comme l'une des maladies les plus graves parmi celles qui touchent un grand nombre d'individus et qui se développent à un rythme expérimental dans le monde entier. Le diabète a de nombreuses causes, dont le régime alimentaire et le manque d'activité physique. L'un des systèmes de contrôle physiologique les plus complexes et les plus cruciaux chez l'homme est le système de régulation glucose-insuline. Les effets hormonaux biologiques, qui provoquent l'homéostasie du glucose dans le corps humain pour réguler les niveaux de glucose-insuline dans des valeurs normales, sont considérés comme des paramètres dans ces modèles. En raison des questions morales, des limites physiologiques et des coûts élevés de l'expérimentation humaine, la modélisation mathématique est une approche bien connue qui permet d'acquérir des données fiables sur les maladies d'une manière sûre et pratique. Dans ce travail, de nouveaux modèles mathématiques du système de régulation du glucose et de l'insuline ont été proposés à l'aide d'équations différentielles et de techniques statistiques en tenant compte de paramètres réels tels que les effets hormonaux biologiques, etc.

A diabetes mellitus é considerada uma das doenças cruciais entre outras doenças que influenciam um grande número de indivíduos e que crescem a um ritmo experimental em todo o mundo. Existem muitas razões para a diabetes que incluem a dieta e a falta de atividade física. Um dos sistemas de controlo fisiológico mais complicados e cruciais nos seres humanos é o sistema regulador da glucose-insulina. Os efeitos hormonais biológicos, que causam a homeostase da glucose no corpo humano para a regulação dos níveis de glucose-insulina em valores normais, são considerados como parâmetros nestes modelos. Devido a questões morais, limitações fisiológicas e elevados custos da experimentação humana, a modelação matemática é uma abordagem bem conhecida na aquisição de dados fiáveis para a doença de uma forma segura e prática. Neste trabalho, foram propostos novos modelos matemáticos do sistema regulador da glucose-insulina com a ajuda de equações diferenciais e técnicas estatísticas, tendo em conta parâmetros da vida real, como efeitos hormonais biológicos, etc.

Il diabete mellito è considerato una delle malattie cruciali tra le altre patologie che influenzano un gran numero di individui e che crescono a ritmo sperimentale in tutto il mondo. Le cause del diabete sono molteplici e includono la dieta e la mancanza di attività fisica. Uno dei sistemi di controllo fisiologico più complicati e cruciali nell'uomo è il sistema di regolazione del glucosio e dell'insulina. Gli effetti biologici ormonali, che causano l'omeostasi del glucosio nel corpo umano per la regolazione dei livelli di glucosio-insulina in valori normali, sono considerati come parametri in questi modelli. A causa delle questioni morali, delle limitazioni fisiologiche e dei costi elevati della sperimentazione umana, la modellazione matematica è un approccio ben noto per acquisire dati affidabili per le malattie in modo sicuro e pratico. In questo lavoro sono stati proposti nuovi modelli matematici del sistema di regolazione del glucosio e dell'insulina con l'aiuto di equazioni differenziali e tecniche statistiche, considerando parametri reali come gli effetti biologici ormonali ecc.

Die Zuckerkrankheit (Diabetes mellitus) gilt als eine der wichtigsten Krankheiten, die eine große Zahl von Menschen betrifft und sich weltweit in rasantem Tempo ausbreitet. Die Gründe für Diabetes sind vielfältig und liegen unter anderem in der Ernährung und dem Mangel an körperlicher Betätigung. Eines der kompliziertesten und wichtigsten physiologischen Kontrollsysteme des Menschen ist das Glukose-Insulin-Regulationssystem. Die biologischen Hormonwirkungen, die die Glukosehomöostase im menschlichen Körper bewirken, um den Glukose-Insulin-Spiegel auf normale Werte zu regulieren, werden in diesen Modellen als Parameter berücksichtigt. Es ist sehr wichtig, einen Einblick in diese Art von komplexer Situation zu bekommen. Aufgrund von moralischen Fragen, physiologischen Einschränkungen und hohen Kosten für Experimente am Menschen ist die mathematische Modellierung ein bekannter Ansatz, um auf sichere und praktische Weise zuverlässige Daten für Krankheiten zu erhalten. In dieser Arbeit wurden neue mathematische Modelle des Glukose-Insulin-Regulationssystems mit Hilfe von Differentialgleichungen und statistischen Techniken vorgeschlagen, wobei reale Parameter wie biologische hormonelle Wirkungen usw. berücksichtigt wurden.

Diabetes mellitus is considered as one of the crucial diseases among other diseases which influence a large number of individuals and growing at an experimental pace over the globe. There are so many reasons for diabetes which includes the diet and lack of physical activities. One of the most complicated and crucialphysiological control systems in humans is the glucose-insulin regulatory system. The biological hormonal effects, causing the glucose homeostasis in human body for regulation of glucose-insulin levels in normal values, are considered as parameters in these models. It is very important to get an insight into this type of complex situation. Because of moral issues, physiological limitations and high costs of human experimentation, mathematical modelling is a well known approach in acquiring dependable data for disease in a safe and practical way. In this work new mathematical models of glucose-insulin regulatory system have been proposed with the help of differential equations and statistical techniques by considering real life parameters like biological hormonal effects etc.

Heat Transfer is an interesting topic of Mechanical Engineering and most of the students finds it very difficult to find the lab experiments details in a book. This book is very useful for the Mechanical Engineering students. In this book the lab experiments of Heat Transfer Laboratory are explained in a very lucid manner. This book can be referred by all the students of B. Tech and M. Tech Mechanical engineering for their laboratory work.

Heat Transfer is an interesting topic of Mechanical Engineering and most of the students finds it very difficult to find the lab experiments details in a book. This book is very useful for the Mechanical Engineering students. In this book the lab experiments of Heat Transfer Laboratory are explained in a very lucid manner. This book can be referred by all the students of B. Tech and M. Tech Mechanical engineering for their laboratory work.

Foreign exchange risk plays an important role in an organization's foreign exchange risk management strategies. Over 70% of revenue for most Indian IT firms comes from foreign clients (i.e. via exports). The transactions are usually quoted/executed in foreign currency denominations. Firms dealing in multiple currencies face a risk (an unanticipated gain/loss) on account of sudden unanticipated changes in exchange rates, quantified in terms of exposures. Therefore the companies, using the foreign exchange risk management practices shall be in a better position as compared to the companies not following foreign exchange risk management practices. The need of this study is to analyze the practices which are being used by the selected Indian IT companies and to analyze the impact of it on their profitability and other factors.

This book presents recent advances in renewable energy scenarios for future Indian smart cities including technologies and devices at the scales of both experimental and theoretical models for Industry 4.0, the concept of automated and computerized industrial manufacturing and practices. The current Indian economy is inclined towards smart urban cities, but the energy deficit in modern society is not well recognized. As a result, there is an enormous need to explore alternative avenues of energy for future smart cities. Because such cities depend significantly on technologies and devices that comprise Industry 4.0, the synthesis of energy scenarios enables an understanding of the technology, applications and devices that contribute immensely to the textile, construction, cosmetics, biomedical and environmental industries, among others. These industrial areas are the key starting points for a wide range of applications, consequently becoming top priorities for science and technology policy development. Such advances already have been adopted in various contemporary services and products, especially in the fields of electronics, health care, chemicals, cosmetics, composites and energy. This book is a valuable resource for practising energy planners, citizens and professionals such as businesspeople, bureaucrats from all levels of government, employees from nongovernmental public organizations and their volunteers and other individuals who have stakes in the development of their city-region.

Mathematical Modeling is an interdisciplinary approach applied in every domain of research. In ¿bio-mathematical¿ research mathematical modeling is one of the main approaches to be applied. The numerical data collected from various sources could be proved by ¿Mathematical Modeling to improve medication. With new opportunities and scope, bio-mathematical modeling has been proved a significant application. Mathematical modeling is used to define and measure the frequency of various infectious diseases in different stages in human population. Some new mathematical models have been developed with the help of SIR model so that some parameters could be developed for further analysis.

Chhattisgarh, state of east-central India. It is bounded by the Indian states of Uttar Pradeshand Jharkhand to the north and northeast, Odisha (Orissa) to the east, Telangana (formerly part of Andhra Pradesh) to the south, and Maharashtra and Madhya Pradesh to the west. Its capital is Raipur. Area 52,199 square miles (135,194 square km). The state was formed on 1 November 2000 by partitioning 10 Chhattisgarhi and 6 Gondi speaking southeastern districts of Madhya Pradesh. The capital city is Raipur. Chhattisgarh borders the states of Madhya Pradesh in the northwest, Uttar Pradesh in the north, Jharkhand in northeast, Maharashtra in the southwest, Telangana and Andhra Pradesh in the south, Odisha in the southeast. Currently the state comprises 27 districts. The Government of Chhattisgarh also known as the State Government of Chhattisgarh, or locally as State Government, is the supreme governing authority of the Indian state of Chhattisgarh and its 27 districts. It consists of an executive, led by the Governor of Chhattisgarh, a judiciary and a legislative branch. The key political players in Chhattisgarh state in central India are the ruling Bharatiya Janata Party, Indian National Congress, Janta Congress Chhattisgarh and Bahujan Samaj Party. This book is endeavours to present before the readers a panoramic view of the state, its districts, places, cultures, arts and crafts, developmental policies, economy along with history of dynasties that ruled the state.