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SPIRES-BOOKS: FIND KEYWORD PHARMACEUTICAL TECHNOLOGY *END*INIT* use /tmp/qspiwww.webspi1/18665.134 QRY 131.225.70.96 . find keyword pharmaceutical technology ( in books using www Cover
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Call number:9783319501864:ONLINE Show nearby items on shelf
Title:Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry
Author(s): Richard K Burdick
Date:2017
Size:1 online resource (XI, 379 p. 113 illus., 80 illus. in color p.)
Contents:Chapter 1. Introduction -- Chapter 2. Statistical Methods for CMC Applications -- Chapter 3. Process Design: Stage 1 of the FDA Process Validation Guidance -- Chapter 4. Process Qualification: Stage 2 of the FDA Process Validation
Guidance -- Chapter 5. GMP Monitoring and Continuous Process Verification: Stage 3 of the FDA Process Validation Guidance -- Chapter 6. Analytical Procedures -- Chapter 7. Specifications -- Chapter 8. Stability -- Chapter 9. Analytical
Comparability and Similarity
ISBN:9783319501864
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Pharmacy , Statistics , Pharmaceutical technology , Statistics , Statistics for Life Sciences, Medicine, Health Sciences , Pharmaceutical Sciences/Technology , Pharmacy
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Call number:SPRINGER-2016-9783319325620:ONLINE Show nearby items on shelf
Title:Group Sequential and Confirmatory Adaptive Designs in Clinical Trials
Author(s): Gernot Wassmer
Date:2016
Size:1 online resource (301 p.)
Note:10.1007/978-3-319-32562-0
Contents:Part I Group Sequential Designs -- Repeated Significance Tests: Procedures with Equally Sized Stages -- Procedures with Unequally Sized Stages -- Confidence Intervals, p -Values, and Point Estimation -- Applications -- Part II Adaptive Confirmatory Designs with a Single Hypothesis: Adaptive Group Sequential Tests -- Decision Tools for Adaptive Designs -- Estimation and p-Values for Two-stage Adaptive Designs -- Adaptive Designs with Survival Data -- Part III Adaptive Designs with Multiple Hypothese s: Multiple Testing in Adaptive Designs -- Applications and Case Studies -- Appendix - Software for Adaptive Designs -- Index
ISBN:9783319325620
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Pharmaceutical technology , Pharmacy , Biostatistics , Statistics , Statistics for Life Sciences, Medicine, Health Sciences , Biostatistics , Drug Safety and Pharmacovigilance , Pharmaceutical Sciences/Technology
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Call number:SPRINGER-2013-9781461462774:ONLINE Show nearby items on shelf
Title:Networks Against Time [electronic resource] : Supply Chain Analytics for Perishable Products
Author(s): Anna Nagurney
Min Yu
Amir H Masoumi
Ladimer S Nagurney
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Despite significant achievements, the discipline of supply chain management is still unable to satisfactorily handle many practical real-world challenges. The authors of Networks Against Time claim that a unified supply chainnetwork analytics framewo rk is needed which should be able to handle optimization and competitive behavior while also maintain relevance to many industrial sectors in which perishable products are prominent, from healthcare to food andfrom fashion apparel to technology. This Brie f provides a wide range of critical supply chain problems which are modeled as generalized networks. Guidelines are provided to determine the arc multipliers that capture perish ability ofthe product whether food, radioisotopes, or even highly perishable blood in healthcare over space and time. Through case studies the authors portray the application of the models and algorithms to real-world sectors which illustratethe power of the framework in practice. The models and algorithms are fully described alon g with the input and output data in the case studies. This level of transparency is useful pedagogically as well as for future research and forapplications in practice. Researchers and practitioners in mathematics, in operations research and management sc ience, operations management, as well as in economics and computer science will find this book useful to gain a broaderappreciation of the richness of network supply chain structures, processes, and applications. This book can also be used by advanced und ergraduate students and graduate students in the disciplines noted above to familiarize themselveswith methodologies and supply chain network models and applications
Note:Springer eBooks
Contents:1. Introduction and Scope
2. Blood Supply Chains
3. Medical Nuclear Supply Chains
4. Food Supply Chains
5. Pharmaceutical Supply Chains
6. Fast Fashion Apparel Supply Chains
References.
ISBN:9781461462774
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Optimization, 2190-8354
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical optimization
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Call number:SPRINGER-2012-9781461433965:ONLINE Show nearby items on shelf
Title:Space Pharmacology [electronic resource]
Author(s): Virginia E Wotring
Date:2012
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Space Pharmacology is a review of the current knowledge regarding the use of pharmaceuticals during spaceflights. It is a comprehensive review of the literature, addressing each area of pharmacokinetics and each majorphysiological system in turn. Eve ry section begins with a topic overview, and is followed by a discussion of published data from spaceflight, and from ground experiments meant to model the spaceflight situation. Includes a discussionlooking forward to the new medical challenges we are li kely to face on longer duration exploration missions. This book is a snapshot of our current knowledge that also highlights areas of unknown
Note:Springer eBooks
Contents:Chapter 1: Introduction
Chapter 2: Absorption
Chapter 3: Distribution
Chapter 4: Metabolism and Excretion
Chapter 5: Central Nervous System
Chapter 6: Cardiovascular System
Chapter 7: Gastrointestinal System
Chapter 8: Musculoskeletal System
Chapter 9: Multiple Systems Spaceflight Effects
Chapter 10: Conclusions
Special Challenges of Long Duration Exploration
References
Abbreviations
ISBN:9781461433965
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Space Development, 2191-8171
Series:Physics and Astronomy (Springer-11651)
Keywords: Pharmaceutical technology , Chemistry, inorganic , Astrophysics
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Call number:SPRINGER-2012-9781461433958:ONLINE Show nearby items on shelf
Title:Space Pharmacology [electronic resource]
Author(s): Virginia E. Wotring
Date:2012
Publisher:Springer US
Size:1 online resource
Note:Brief
Note:Springer 2012 Physics and Astronomy eBook collection
Note:Springer e-book platform
ISBN:9781461433958
Series:SpringerBriefs in Space Development
Series:e-books
Keywords: Extraterrestrial Physics, Space Sciences , Pharmaceutical Sciences/Technology , Inorganic Chemistry
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Call number:SPRINGER-2011-9783642179464:ONLINE Show nearby items on shelf
Title:Modeling Multi-Level Systems [electronic resource]
Author(s): Octavian Iordache
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book is devoted to modeling of multi-level complex systems, a challenging domain for engineers, researchers and entrepreneurs, confronted with the transition from learning and adaptability to evolvability and autonomy fortechnologies, devices an d problem solving methods. Chapter 1 introduces the multi-scale and multi-level systems and highlights their presence in different domains of science and technology. Methodologies as, random systems,non-Archimedean analysis, category theory and specific t echniques as model categorification and integrative closure, are presented in chapter 2. Chapters 3 and 4 describe polystochastic models, PSM, and their developments. Categoricalformulation of integrative closure offers the general PSM framework which ser ves as a flexible guideline for a large variety of multi-level modeling problems. Focusing on chemical engineering, pharmaceutical and environmental casestudies, the chapters 5 to 8 analyze mixing, turbulent dispersion and entropy production for multi-sca le systems. Taking inspiration from systems sciences, chapters 9 to 11 highlight multi-level modeling potentialities in formalconcept analysis, existential graphs and evolvable designs of experiments. Case studies refer to separation flow-sheets, pharmace utical pipeline, drug design and development, reliability management systems, security and failureanalysis. Perspectives and integrative points of view are discussed in chapter 12. Autonomous and viable systems, multi-agents, organic and autonomic computi ng, multi-level informational systems, are revealed as promising domains forfuture applications. Written for: engineers, researchers, entrepreneurs and students in chemical, pharmaceutical, environmental and systems sciences engineering, and for applied m athematicians
Note:Springer eBooks
Contents:Introduction
Methodological Resources
Conventional PSM frames
New PSM frames
Mixing in chemical reactors
Compartmental systems
Turbulent mixing
Entropy
Formal concept analysis
Existential graphs
Evolvable designs of experiments
Autonomous systems perspective
ISBN:9783642179464
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832 : v70
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering
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Call number:SPRINGER-2011-9783642125225:ONLINE Show nearby items on shelf
Title:Confocal Raman Microscopy [electronic resource]
Author(s): Thomas Dieing
Olaf Hollricher
Jan Toporski
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Confocal Raman Microscopy is a relatively new technique that allows chemical imaging without specific sample preparation. By integrating a sensitive Raman spectrometer within a state-of-the-art microscope, Raman microscopy with aspatial resolution do wn to 200nm laterally and 500nm vertically can be achieved using visible light excitation. Recent developments in detector and computer technology as well as optimized instrument design have reduced integrationtimes of Raman spectra by orders of magnitude , so that complete images consisting of tens of thousands of Raman spectra can be acquired in seconds or minutes rather than hours, which used to be standard just one decade ago. The purposeof this book is to provide the reader a comprehensive overview of the rapidly developing field of Confocal Raman Microscopy and its applications
Note:Springer eBooks
Contents:Part I: Theory
Confocal Microscopy
Introduction into the Fundamentals of Raman Spectroscopy
Raman Equipment
Software Requirements and Data Analysis in Confocal Raman Microscopy
Part II: Applications
Identification of Pathogens
Imaging of Individual Carbon Nanotubes and Isolated Graphene Sheets
Raman Microscopy in Geosciences
Raman Microscopic Imaging of Cells and Applications Monitoring the Uptake of Drug Delivery Systems
Confocal Micro
Raman Spectroscopy: A Tool for the Allocation of Organic and Inorganic Components in Calcified Biominerals
Pharmaceutical Appl
ISBN:9783642125225
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Optical Sciences, 0342-4111 : v158
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering
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Call number:SPRINGER-2011-9781441998422:ONLINE Show nearby items on shelf
Title:Modern Issues and Methods in Biostatistics [electronic resource]
Author(s): Mark Chang
Date:2011
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Classic biostatistics, a branch of statistical science, has as its main focus the applications of statistics in public health, the life sciences, and the pharmaceutical industry. Modern biostatistics, beyond just a simpleapplication of statistics, is a confluence of statistics and knowledge of multiple intertwined fields. The application demands, the advancements in computer technology, and the rapid growth of life science data (e.g., genomics data)have promoted the formation of modern biostatistics. There are at least three characteristics of modern biostatistics: (1) in-depth engagement in the application fields that require penetration of knowledge across several fields, (2)high-level complexity of data because they are longitudinal, incomplete, o r latent because they are heterogeneous due to a mixture of data or experiment types, because of high-dimensionality, which may make meaningful reductionimpossible, or because of extremely small or large size and (3) dynamics, the speed of development in methodology and analyses, has to match the fast growth of data with a constantly changing face. This book is written forresearchers, biostatisticians/statisticians, and scientists who are interested in quantitative analyses. The goal is to introduce moder n methods in biostatistics and help researchers and students quickly grasp key concepts and methods.Many methods can solve the same problem and many problems can be solved by the same method, which becomes apparent when those topics are discussed inthis s ingle volume
Note:Springer eBooks
Contents:Multiple
Hypothesis Testing Strategy
Pharmaceutical Decision and Game Theory
Noninferiority Trial Design
Adaptive Trial Design
Missing Data Imputation and Analysis
Multivariate and Multistage Survival Data Modeling
Meta
analysis
Data Mining and Signal Detection
Monte Carlo Simulation
Bayesian Methods and Applications
ISBN:9781441998422
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Mathematics , Engineering
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Call number:SPRINGER-2009-9781441911483:ONLINE Show nearby items on shelf
Title:Statistical Analysis of Designed Experiments, Third Edition [electronic resource]
Author(s): Helge Toutenburg
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This textbook presents the design and analysis of experiments that comprise the aspects of classical theory for continuous response, modern procedures for categorical response, and especially for correlated categorical response.For any design (indepe ndent and matched-pair response) the parametric and nonparametric tests depending on the data level are given. Complex designs, such as, for example, cross-over and repeated measures, are included at anintroductory and advanced manner. The problem of miss ing data is also handled with care and procedures in approaching this problem are proposed. Thus, this is an important resource/reference book for undergraduates and universityteachers, for statistical researchers in the pharmaceutical industry, or other industries, as well as for clinical research in medicine and dentistry. The third edition contains a new chapter on incomplete block designs that includesthe balanced incomplete block design and partially balanced incomplete block design in addition to th e general theory on incomplete block designs. The chapter Multifactor Experiments is extended and includes new topics onconfounding, partial confounding and fractional replications that are explained with examples. The more theoretical proofs of Chapters 3, 4 and 6 are put into an appendix. Helge Toutenburg is Professor of Statistics at the Universityof Munich. He has written nineteen books on linear models, statistical methods in quality engineering, and the analysis of designed experiments. He works on applications of statistics to the fields of medicine and engineering. Shalabhis Associate Professor of Statistics at the Indian Institute of Technology Kanpur. He has co-authored a book on linear models and co-edited a book on the recent developments in t he area of linear models. He works in the area of linearmodels, regression analysis and econometrics
Note:Springer eBooks
Contents:Introduction
Comparison of two samples
The linear regression model
Single
factor experiments with fixed and random effects
More restrictive designs
Incomplete block designs
Multifactor experiments
Models for categorical response variables
Repeated measures model
Cross
over design
Statistical analysis of incomplete data
ISBN:9781441911483
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Bioinformatics , Statistical methods , Distribution (Probability theory) , Mathematical statistics , Econometrics , Psychometrics
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Call number:SPRINGER-2006-9780387280141:ONLINE Show nearby items on shelf
Title:Screening [electronic resource] : Methods for Experimentation in Industry, Drug Discovery, and Genetics
Author(s): Angela Dean
Susan Lewis
Date:2006
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The process of discovery in science and technology may require investigation of a large number of features, such as factors, genes or molecules. In Screening, statistically designed experiments and analyses of the resulting datasets are used to ident ify efficiently the few features that determine key properties of the system under study. This book brings together accounts by leading international experts that are essential reading for those working in fieldssuch as industrial quality improvement, eng ineering research and development, genetic and medical screening, drug discovery, and computer simulation of manufacturing systems or economic models. Our aim is to promote cross-fertilizationof ideas and methods through detailed explanations, a variety o f examples and extensive references. Topics cover both physical and computer simulated experiments. They include screening methods for detecting factors that affect thevalue of a response or its variability, and for choosing between various different resp onse models. Screening for disease in blood samples, for genes linked to a disease and for new compounds in the search for effective drugs are alsodescribed. Statistical techniques include Bayesian and frequentist methods of data analysis, algorithmic met hods for both the design and analysis of experiments, and the construction of fractional factorial designs and orthogonalarrays. The material is accessible to graduate and research statisticians, and to engineers and chemists with a working knowledge of s tatistical ideas and techniques. It will be of interest to practitioners and researchers who wish tolearn about useful methodologies from within their own area as well as methodologies that can be translated from one area to another. Angela Dean is Profes sor of Statistics at The Ohio State University, USA. She is a Fellow of theAmerican Statistical Association, the Institute of Mathematical Statistics, and an elected member of the International Statisti
Note:Springer eBooks
Contents:An Overview of Industrial Screening Experiments
Screening Experiments for Dispersion Effects
Pooling Experiments for Blood Screening and Drug Discovery
Pharmaceutical Drug Discovery: Designing the Blockbuster Drug
Design and Analysis of Screening Experiments with Microarrays
Screening for Differential Gene Expressions from Microarray Data
Projection Properties of Factorial Designs for Factor Screening
Factor Screening via Supersaturated Designs
An Overview of Group Factor Screening
Screening Designs for Model Selection
Prior Distributions for Bayesian Analysis of
ISBN:9780387280141
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-1995-9789401106153:ONLINE Show nearby items on shelf
Title:Advanced LIMS Technology Case Studies and Business Opportunities
Author(s):
Date:1995
Size:1 online resource (247 p.)
Note:10.1007/978-94-011-0615-3
Contents:1 LIMS: An automating or informating technology? -- 1.1 Introduction -- 1.2 Current LIMS fail to meet business requirements -- 1.3 Current LIMS automate data management functions -- 1.4 New LIMS will informate, not automate -- 1.5
Architecture of an informating system -- 1.6 Making IT happen -- References -- 2 A model for a comprehensive LIMS -- 2.1 Introduction -- 2.2 Strategic design of a LIMS -- 2.3 What is a LIMS? -- 2.4 An architecture for a comprehensive
LIMS -- 2.5 A LIMS model -- 2.6 Definition of a LIMS -- 2.7 Detailed classification of LIMS functions -- 2.8 Applying the LIMS model: the selection of a commercial LIMS -- 2.9 LIMS standards -- 2.10 Summary -- References -- 3 LIMS in a
forensic laboratory -- 3.1 Introduction -- 3.2 Objectives of a LIMS -- 3.3 The system -- 3.4 The future -- 3.5 Conclusions -- Acknowledgement -- 4 Application of a LIMS in a pharmaceutical drug metabolism and pharmacokinetics
laboratory -- 4.1 Introduction -- 4.2 Study objectives in drug metabolism and pharmacokinetics -- 4.3 Configuration of the database -- 4.4 LabManager in use -- 4.5 The future -- References -- 5 Use of protocol-synchronous LIMS
structures to expand the role of the centralized clinical trial laboratory in pharmaceutical research -- 5.1 Introduction -- 5.2 The expanding role of the central laboratory in pharmaceutical research -- 5.3 Comparing traditional and
protocol-synchronous LIMS structures in the clinical trial laboratory -- 5.4 Defining protocol-driven time and events using a multidimensional matrix -- 5.5 Managing protocol-driven time and events using matrix-dependent control
structures -- 5.6 Managing protocol-driven time and events using matrix-dependent output structures -- 5.7 Summary -- 6 Medical Laboratory Information Systems (LIS) -- 6.1 History of clinical laboratory computerization -- 6.2
Computerization and automation of the ‘testing process’ -- 6.3 How computers function in the clinical laboratory -- 6.4 Acquisition of a LIS -- 6.5 Future of laboratory information systems -- References -- 7 EPA’s Relational Laboratory
Information Management System: Development and implementation -- 7.1 Introduction -- 7.2 Development -- 7.3 Implementation -- 7.4 Conclusions -- References -- 8 LIMS to robotics interface: A practical approach -- 8.1 Introduction --
8.2 The case for automation -- 8.3 Role of a Laboratory Information Management System -- 8.4 Sample planning and scheduling -- 8.5 Auditability -- 8.6 Information transferred via the interfaces -- 8.7 Laboratory Information Management
System network -- 8.8 Analytical process automation -- 8.9 Impact on the laboratory working environment -- References -- 9 Interfacing the real world to LIMS -- 9.1 Introduction -- 9.2 The analysis procedure -- 9.3 Beckman -- 9.4
Hewlett Packard -- 9.5 LabSystems (Fisons Instruments) -- 9.6 The future -- Acknowledgements -- 10 Replacement LIMS: Moving forward or maintaining the status quo -- 10.1 Introduction -- 10.2 Why change? -- 10.3 Why not change? -- 10.4
How long should a LIMS last? -- 10.5 How do you justify a replacement LIMS? -- 10.6 Would a custom system be better? -- 10.7 Support your vendor -- 10.8 How to implement a replacement LIMS -- 11 The promise of client—server LIMS
applications -- 11.1 Introduction -- 11.2 Review of LIMS development over the last ten years — the story so far -- 11.3 Current trends -- 11.4 Regulatory requirements -- 11.5 Standards for systems analysis and construction of
information systems -- 11.6 Understanding the user -- 11.7 Meeting the requirements with appropriate technology: The challenge facing client-server technology -- 11.8 Discussion of relationships and issues -- 11.9 Systems analysis,
construction of information systems and process re-engineering -- 11.10 Software development -- 11.11 Communications -- 11.12 Implementing client-server technology -- 11.13 Conclusions -- 11.14 The way forward? -- References -- 12
Standards for analytical laboratory data communications, storage, and archival -- 12.1 Introduction -- 12.2 Standards investment and payback -- 12.3 The ADISS Program -- 12.4 Application of the ADISS Information Model to chromatography
-- 12.5 Future ADISS extensions for chromatography and other techniques -- 12.6 Future influence of ADISS standards on LIMS in R&D -- 12.7 The influence of standards on market dynamics -- 12.8 Summary and recommendations -- Note --
References
ISBN:9789401106153
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics for Life Sciences, Medicine, Health Sciences , Statistics, general
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