Kirjahaku
Etsi kirjoja tekijän nimen, kirjan nimen tai ISBN:n perusteella.
1000 tulosta hakusanalla Kumar Pankaj
Applications des macroalgues pour la production de bioéthanol et autres
Manju Dhakad Tanwar; Bhagyashree Suvarna; Pankaj Kumar Tanwar
Editions Notre Savoir
2025
nidottu
L'augmentation de la consommation d' nergies fossiles telles que l'essence dans le secteur des transports, due l'indisponibilit d'autres sources d' nergie durables, renouvelables et respectueuses de l'environnement, a entra n des probl mes tels que le r chauffement climatique et le changement climatique. Les biocarburants de premi re g n ration produits partir de cultures vivri res telles que le ma s et la canne sucre, ainsi que les biocarburants de deuxi me g n ration produits partir de mati res premi res lignocellulosiques, n'ont pas t en mesure de r pondre la demande mondiale en bio thanol en raison de leur utilisation comme denr es alimentaires, du prix lev de ces mati res premi res et des grandes surfaces n cessaires leur culture. Cependant, les biocarburants de troisi me g n ration d riv s des algues semblent tre une source d' nergie renouvelable durable, car les algues sont tr s r pandues dans la nature et ont la capacit d'accumuler de grandes quantit s d'amidon et de cellulose, qui peuvent tre convertis en bio thanol.
Applicazioni delle macroalghe per la produzione di bioetanolo e altro
Manju Dhakad Tanwar; Bhagyashree Suvarna; Pankaj Kumar Tanwar
Edizioni Sapienza
2025
nidottu
L'aumento del consumo di fonti energetiche fossili come la benzina nel settore dei trasporti, dovuto all'indisponibilit di altre fonti energetiche sostenibili, rinnovabili ed ecocompatibili, ha portato a problemi quali il riscaldamento globale e il cambiamento climatico. I biocarburanti di prima generazione prodotti da colture alimentari come il mais e la canna da zucchero e quelli di seconda generazione prodotti da materie prime lignocellulosiche non sono stati in grado di soddisfare la domanda globale di bioetanolo a causa del loro utilizzo come alimenti, del prezzo elevato di queste materie prime e della grande quantit di terreno impiegato per la loro coltivazione. Tuttavia, i biocarburanti di terza generazione derivati dalle alghe sembrano essere una fonte di energia rinnovabile sostenibile, poich le alghe sono molto diffuse in natura e hanno la capacit di accumulare grandi quantit di amido e cellulosa al loro interno, che possono essere convertiti in bioetanolo.
Aplicações das macroalgas na produção de bioetanol e outras
Manju Dhakad Tanwar; Bhagyashree Suvarna; Pankaj Kumar Tanwar
Edicoes Nosso Conhecimento
2025
nidottu
O aumento do consumo de fontes de energia baseadas em combust veis f sseis, como a gasolina, no setor dos transportes, devido indisponibilidade de outras fontes de energia sustent veis, renov veis e ecol gicas, levou a problemas como o aquecimento global e as altera es clim ticas. Os biocombust veis de primeira gera o produzidos a partir de culturas alimentares, como milho e cana-de-a car, e os biocombust veis de segunda gera o produzidos a partir de mat rias-primas lignocelul sicas n o conseguiram satisfazer a procura global de bioetanol devido sua utiliza o como alimento, ao elevado pre o destas mat rias-primas e grande quantidade de terra utilizada para o seu cultivo. No entanto, o biocombust vel de terceira gera o derivado de algas parece ser uma fonte de energia renov vel sustent vel, pois as algas s o comuns na natureza e t m a capacidade de acumular grandes quantidades de amido e celulose, que podem ser convertidos em bioetanol.
Zastosowania makroglonów do produkcji bioetanolu i innych celów
Manju Dhakad Tanwar; Bhagyashree Suvarna; Pankaj Kumar Tanwar
Wydawnictwo Nasza Wiedza
2025
nidottu
Wzrost zużycia energii pochodzącej z paliw kopalnych, takich jak benzyna, w sektorze transportowym, spowodowany brakiem innych zr wnoważonych, odnawialnych i przyjaznych dla środowiska źr del energii, doprowadzil do problem w takich jak globalne ocieplenie i zmiany klimatyczne. Biopaliwa pierwszej generacji produkowane z upraw spożywczych, takich jak kukurydza i trzcina cukrowa, oraz biopaliwa drugiej generacji produkowane z surowc w lignocelulozowych nie byly w stanie zaspokoic globalnego zapotrzebowania na bioetanol ze względu na ich wykorzystanie jako żywności, wysokie ceny tych surowc w i duże ilości ziemi wykorzystywanej do ich uprawy. Jednak biopaliwa trzeciej generacji pozyskiwane z alg wydają się byc zr wnoważonym źr dlem energii odnawialnej, ponieważ algi są szeroko rozpowszechnione w naturze i mają zdolnośc gromadzenia w sobie dużych ilości skrobi i celulozy, kt re można przeksztalcic w bioetanol.
Anwendungen von Makroalgen für die Bioethanolproduktion und andere Zwecke
Manju Dhakad Tanwar; Bhagyashree Suvarna; Pankaj Kumar Tanwar
Verlag Unser Wissen
2025
nidottu
Der steigende Verbrauch fossiler Energietr ger wie Benzin im Verkehrssektor aufgrund der Nichtverf gbarkeit anderer nachhaltiger, erneuerbarer und umweltfreundlicher Energiequellen hat zu Problemen wie der globalen Erw rmung und dem Klimawandel gef hrt. Die erste Generation von Biokraftstoffen, die aus Nahrungspflanzen wie Mais und Zuckerrohr hergestellt wurden, und die zweite Generation von Biokraftstoffen, die aus lignozellulosehaltigen Rohstoffen hergestellt wurden, konnten den weltweiten Bedarf an Bioethanol nicht decken, da sie als Nahrungsmittel verwendet werden, die Rohstoffe teuer sind und f r ihren Anbau gro e Fl chen ben tigt werden. Biokraftstoffe der dritten Generation, die aus Algen gewonnen werden, scheinen jedoch eine nachhaltige erneuerbare Energiequelle zu sein, da Algen in der Natur weit verbreitet sind und die F higkeit besitzen, gro e Mengen an St rke und Zellulose in sich anzureichern, die in Bioethanol umgewandelt werden k nnen.
This story has it all: the echoes, calls and the stretched language and imagination producing a densely plotted controlled narrative of small town boys of 90's, their dreams, laughter and tears. Story offers the theme of love, sadness and anguished world of childhood to a young man with poignant simplicity running like a spiderweb that readers when turned the last page will decide to reread it.
Gene Expression Data Analysis
Pankaj Barah; Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita
CRC Press
2021
sidottu
Development of high-throughput technologies in molecular biology during the last two decades has contributed to the production of tremendous amounts of data. Microarray and RNA sequencing are two such widely used high-throughput technologies for simultaneously monitoring the expression patterns of thousands of genes. Data produced from such experiments are voluminous (both in dimensionality and numbers of instances) and evolving in nature. Analysis of huge amounts of data toward the identification of interesting patterns that are relevant for a given biological question requires high-performance computational infrastructure as well as efficient machine learning algorithms. Cross-communication of ideas between biologists and computer scientists remains a big challenge.Gene Expression Data Analysis: A Statistical and Machine Learning Perspective has been written with a multidisciplinary audience in mind. The book discusses gene expression data analysis from molecular biology, machine learning, and statistical perspectives. Readers will be able to acquire both theoretical and practical knowledge of methods for identifying novel patterns of high biological significance. To measure the effectiveness of such algorithms, we discuss statistical and biological performance metrics that can be used in real life or in a simulated environment. This book discusses a large number of benchmark algorithms, tools, systems, and repositories that are commonly used in analyzing gene expression data and validating results. This book will benefit students, researchers, and practitioners in biology, medicine, and computer science by enabling them to acquire in-depth knowledge in statistical and machine-learning-based methods for analyzing gene expression data.Key Features: An introduction to the Central Dogma of molecular biology and information flow in biological systems A systematic overview of the methods for generating gene expression data Background knowledge on statistical modeling and machine learning techniques Detailed methodology of analyzing gene expression data with an example case study Clustering methods for finding co-expression patterns from microarray, bulkRNA, and scRNA data A large number of practical tools, systems, and repositories that are useful for computational biologists to create, analyze, and validate biologically relevant gene expression patterns Suitable for multidisciplinary researchers and practitioners in computer science and biological sciences
Recent Advances in Distillery Waste Management for Environmental Safety
Vineet Kumar; Pankaj Chowdhary; Maulin P Shah
CRC Press
2021
sidottu
The safe disposal of distillery waste into the environment, as well as its recycling and management, has become a hot topic in developing countries including India. This gross misconduct creates serious environmental and public health hazards. Thus, adequate management of waste has become a priority of environmental engineers and biotechnologists for environmental safety and sustainable development.Recent Advances in Distillery Waste Management for Environmental Safety covers specific, advanced, and updated knowledge on various developed individual and/or innovative, green, and emerging plant-microbe-based technologies’ uses for the management and recycling of distillery waste in an environmentally friendly and cost-effective manner for sustainable development. Moreover, this book provides comprehensive, state-of-the-art information on the physicochemical properties, chemical composition, and environmental risks associated with distillery waste. Furthermore, the book also discusses various existing methods and technologies; up-gradation of existing technologies; the advent of newer technologies for the treatment, processing, and disposal of distillery waste; and focus areas for further development. This broad and unique coverage allows treatment firms and regulatory authorities to determine and develop appropriate treatment strategies for site-specific problems of distillery waste remediation.Features: Provides practical solutions for the treatment and recycling of distillery waste illustrated by specific case studies Focuses on recent industry practices and preferences, along with newer approaches for wastewater treatment An instructive compilation of treatment approaches, including advanced physicochemical and integrated/sequential methods Covers biocomposting of sludge and effluent, and biodiesel production from distillery waste for recycling and sustainable development Emphasizes the relationship of metagenomics with organometallic compounds of distillery waste Discusses the role of ligninolytic enzymes and bioreactors in distillery wastewater treatmentThis book serves as an accessible reference to assist engineering consultants, industrial waste managers, policy makers, environmental engineers, government implementers, researchers, scientists, and a wide range of professionals responsible for regulating, monitoring, and designing industrial wastewater treatment techniques, who aspire to work on the reclamation, recycling, and management of distillery waste or wastewater pollutants for environmental safety and sustainable development.
Gene Expression Data Analysis
Pankaj Barah; Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita
TAYLOR FRANCIS LTD
2024
nidottu
Development of high-throughput technologies in molecular biology during the last two decades has contributed to the production of tremendous amounts of data. Microarray and RNA sequencing are two such widely used high-throughput technologies for simultaneously monitoring the expression patterns of thousands of genes. Data produced from such experiments are voluminous (both in dimensionality and numbers of instances) and evolving in nature. Analysis of huge amounts of data toward the identification of interesting patterns that are relevant for a given biological question requires high-performance computational infrastructure as well as efficient machine learning algorithms. Cross-communication of ideas between biologists and computer scientists remains a big challenge.Gene Expression Data Analysis: A Statistical and Machine Learning Perspective has been written with a multidisciplinary audience in mind. The book discusses gene expression data analysis from molecular biology, machine learning, and statistical perspectives. Readers will be able to acquire both theoretical and practical knowledge of methods for identifying novel patterns of high biological significance. To measure the effectiveness of such algorithms, we discuss statistical and biological performance metrics that can be used in real life or in a simulated environment. This book discusses a large number of benchmark algorithms, tools, systems, and repositories that are commonly used in analyzing gene expression data and validating results. This book will benefit students, researchers, and practitioners in biology, medicine, and computer science by enabling them to acquire in-depth knowledge in statistical and machine-learning-based methods for analyzing gene expression data.Key Features: An introduction to the Central Dogma of molecular biology and information flow in biological systems A systematic overview of the methods for generating gene expression data Background knowledge on statistical modeling and machine learning techniques Detailed methodology of analyzing gene expression data with an example case study Clustering methods for finding co-expression patterns from microarray, bulkRNA, and scRNA data A large number of practical tools, systems, and repositories that are useful for computational biologists to create, analyze, and validate biologically relevant gene expression patterns Suitable for multidisciplinary researchers and practitioners in computer science and biological sciences
Microbiology-A Handbook of Essential Practical
Pankaj Bhatt; Ajeet Kumar; Rahul Shukla
Lap Lambert Academic Publishing
2019
nidottu
Automatic Water Flow cum Motor Protector
Pankaj Gupta; Mahesh Kumar Porwal
Scholars' Press
2013
pokkari
Fuzzy Portfolio Optimization
Pankaj Gupta; Mukesh Kumar Mehlawat; Masahiro Inuiguchi; Suresh Chandra
Springer-Verlag Berlin and Heidelberg GmbH Co. K
2014
sidottu
This monograph presents a comprehensive study of portfolio optimization, an important area of quantitative finance. Considering that the information available in financial markets is incomplete and that the markets are affected by vagueness and ambiguity, the monograph deals with fuzzy portfolio optimization models. At first, the book makes the reader familiar with basic concepts, including the classical mean–variance portfolio analysis. Then, it introduces advanced optimization techniques and applies them for the development of various multi-criteria portfolio optimization models in an uncertain environment. The models are developed considering both the financial and non-financial criteria of investment decision making, and the inputs from the investment experts. The utility of these models in practice is then demonstrated using numerical illustrations based on real-world data, which were collected from one of the premier stock exchanges in India. The book addresses both academics and professionals pursuing advanced research and/or engaged in practical issues in the rapidly evolving field of portfolio optimization.
Expanding the horizon of Blue Ocean
Pankaj Aswal; Manish Kumar
LAP Lambert Academic Publishing
2012
pokkari
A Theoretical Approach of Multi-user Quantum Key Distribution
Vikas Kumar Jha; Pankaj Srivastava
LAP Lambert Academic Publishing
2013
pokkari
Fuzzy Portfolio Optimization
Pankaj Gupta; Mukesh Kumar Mehlawat; Masahiro Inuiguchi; Suresh Chandra
Springer-Verlag Berlin and Heidelberg GmbH Co. K
2016
nidottu
This monograph presents a comprehensive study of portfolio optimization, an important area of quantitative finance. Considering that the information available in financial markets is incomplete and that the markets are affected by vagueness and ambiguity, the monograph deals with fuzzy portfolio optimization models. At first, the book makes the reader familiar with basic concepts, including the classical mean–variance portfolio analysis. Then, it introduces advanced optimization techniques and applies them for the development of various multi-criteria portfolio optimization models in an uncertain environment. The models are developed considering both the financial and non-financial criteria of investment decision making, and the inputs from the investment experts. The utility of these models in practice is then demonstrated using numerical illustrations based on real-world data, which were collected from one of the premier stock exchanges in India. The book addresses both academics and professionals pursuing advanced research and/or engaged in practical issues in the rapidly evolving field of portfolio optimization.
Formulation & Development of Floating Drug Delivery System
Pankaj Chasta; Santosh Kumar Gupta
Lap Lambert Academic Publishing
2018
nidottu
Pharmaceutical Technology: A Practical Manual" discusses the techniques used in manufacturing and evaluation of different dosage forms in simple and easy to understand manner with the support of theory and experiments. Due to its organization, the manual can be used at different levels i.e., graduation and post graduation in Pharmaceutics as well as in Quality Assurance. Pharmaceutical Technology is one of the most important subject in pharmaceutical sciences and deals with preparation of various dosage forms by variety of techniques on laboratory scale as well as on large scale and their in-process and out process (final) evaluation.
Artificial Intelligence
Sandeep Kumar; Pankaj Sharma; Ashok Kumar
Lap Lambert Academic Publishing
2023
pokkari
The book is an effort to give basic information about various algorithm intended for artificial intelligence. The books will be very helpful to those who are very new to 'AI'. The book deals philosophy behind the algorithms in easy and simple way. This book is first volume of the series of 'AI for beginners.' In this book we started with history of 'AI', definition of 'AI' and moves a head step by step for various algorithms till 'constraint satisfaction problem. We discuss about intelligence and rational thinking with rational acting of a machine.
Das Buch ist ein Versuch, grundlegende Informationen ber verschiedene Algorithmen f r die k nstliche Intelligenz zu vermitteln. Das Buch ist sehr hilfreich f r diejenigen, die noch keine Erfahrung mit "AI" haben. Das Buch behandelt die Philosophie hinter den Algorithmen auf einfache Art und Weise. Dieses Buch ist der erste Band der Reihe "KI f r Anf nger". In diesem Buch beginnen wir mit der Geschichte der KI, der Definition von KI und gehen Schritt f r Schritt zu verschiedenen Algorithmen bis hin zum "Constraint Satisfaction Problem". Wir diskutieren ber Intelligenz und rationales Denken mit rationalem Handeln einer Maschine.