Methods of Detection and Identification of Bacteria (1977) PDF Download
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Author: B. M. Mitruka Publisher: CRC Press ISBN: 1351360094 Category : Science Languages : en Pages : 270
Book Description
The objective of this book is to present a critical review and evaluation of the so-called conventional methods currently being used for bacterial identification, as well as to discuss the new approaches for the detection and identification of bacteria. Morphological, biochemical, and serological methods of detection and identification of bacteria in clinical specimens are emphasised, and current methods of characterization and enumeration of bacteria in air, water, milk, and other food materials are also described.
Author: B. M. Mitruka Publisher: CRC Press ISBN: 1351360094 Category : Science Languages : en Pages : 270
Book Description
The objective of this book is to present a critical review and evaluation of the so-called conventional methods currently being used for bacterial identification, as well as to discuss the new approaches for the detection and identification of bacteria. Morphological, biochemical, and serological methods of detection and identification of bacteria in clinical specimens are emphasised, and current methods of characterization and enumeration of bacteria in air, water, milk, and other food materials are also described.
Author: Frank Dewhurst Publisher: McGraw Hill ISBN: 0077118820 Category : Business & Economics Languages : en Pages : 608
Book Description
The new edition of Quantitative Methods for Business and Management offers a complete introductory course in Quantitative Methods, providing students with basic practical experience in quantitative approaches in modelling and analysis for business and management. The book features sections on foundation topics, models for business and management, and modelling and analyzing decisions. In particular, the new edition features greater coverage of statistics to reflect teaching in this area, with chapters on Elementary Statistics, Summary Statistics and Inferential Statistics. Other new areas of coverage in the second edition include Network Models and Non-linear Models. The book retains its popular style which offers students numerous examples accompanied by clear and straightforward explanations. Excel examples are also integrated throughout to help students to understand how this software tool is used by managers, and frequent questions and exercises enable students to test their understanding. A free CD contains Excel applications and solutions to the exercises in the textbook, and a full online learning centre completes an excellent learning package for business students.
Author: Stephen M Evans Publisher: Oxford University Press ISBN: 0191500097 Category : Medical Languages : en Pages :
Book Description
Stereology is a valuable tool for neuroscientists, allowing them to obtain 3-Dimensional information from 2-Dimensional measurements made on appropriately sampled sections (usually obtained from histological sections or MRI/CT/PET scans). This 3-D information is invaluable in correlating structural/functional relationships in the pursuit of far greater understanding of the function of the central nervous system. However, in carrying out such measurements, often based on limited data sets, there is a risk of experimenter bias. An important feature of modern design based stereology is to be aware of potential sources of bias and eliminate them during the data collection. With many of the major neuroscience journals now insisting that quantitative data be presented, there is a greater need than ever for neuroscientists to understand the theory and practice behind quantitative methods, such as those offered by stereology. Quantitative Methods in Neuroscience is a cookbook of stereological methods written especially for neuroscientists. It provides clear and accessible advice about when and when not to use stereology. Throughout the book, the emphasis is on practical guidance, rather than discussions and formulae. Written by leading scientists in the field of stereology, with a Foreword by D.C. Sterio, the book will be a valuable introduction to these methods for neuroscientists, and all those involved in development of new drug programmes.
Author: Dylan Glynn Publisher: Walter de Gruyter ISBN: 3110226413 Category : Computers Languages : en Pages : 404
Book Description
Review text: "Overall, this volume is an important contribution to the development of empirical Cognitive Semantics. This collection of high-quality papers provides the reader with an insight into the most important empirical approaches in corpus-driven semantic research."Natalia Levshina in: Linguist List 20.3011.
Author: Brena, Ramon F. Publisher: IGI Global ISBN: 1609608828 Category : Computers Languages : en Pages : 303
Book Description
The Internet has been acknowledged as a recent technological revolution, due to its significant impact on society as a whole. Nevertheless, precisely due to its impact, limitations of the current Internet are becoming apparent; in particular, its inability to automatically take into account the meaning of online documents. Some proposals for taking meaning into account began to appear, mainly the so-called Semantic Web, which includes a set of technologies like RDF that are based on new markup languages. Though these technologies could be technically sound, practical limitations, such as the high training level required to construct Semantic Web pages, and the small proportion of current Semantic Web pages make the Sematic Web marginal today and also in the near foreseeable future. Quantitative Semantics and Soft Computing Methods for the Web: Perspectives and Applications will provide relevant theoretical frameworks and the latest empirical research findings related to quantitative, soft-computing and approximate methods for dealing with Internet semantics. The target audience of this book is composed of professionals and researchers working in the fields of information and knowledge related technologies (e.g. Information sciences and technology, computer science, Web science, and artificial intelligence).
Author: B. M. Mitruka
Author: B. M. Mitruka
Author: Frank Dewhurst
Author: Stephen M Evans
Author: Dylan Glynn
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Author: Julius Bernhard Citron
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Author: Brena, Ramon F.