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Author: L. Eriksson
Publisher: Umetrics Academy
ISBN: 9197373052
Category : Mathematics
Languages : en
Pages : 509
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Book Description
To understand the world around us, as well as ourselves, we need to measure many things, many variables, many properties of the systems and processes we investigate. Hence, data collected in science, technology, and almost everywhere else are multivariate, a data table with multiple variables measured on multiple observations (cases, samples, items, process time points, experiments). This book describes a remarkably simple minimalistic and practical approach to the analysis of data tables (multivariate data). The approach is based on projection methods, which are PCA (principal components analysis), and PLS (projection to latent structures) and the book shows how this works in science and technology for a wide variety of applications. In particular, it is shown how the great information content in well collected multivariate data can be expressed in terms of simple but illuminating plots, facilitating the understanding and interpretation of the data. The projection approach applies to a variety of data-analytical objectives, i.e., (i) summarizing and visualizing a data set, (ii) multivariate classification and discriminant analysis, and (iii) finding quantitative relationships among the variables. This works with any shape of data table, with many or few variables (columns), many or few observations (rows), and complete or incomplete data tables (missing data). In particular, projections handle data matrices with more variables than observations very well, and the data can be noisy and highly collinear. Authors: The five authors are all connected to the Umetrics company (www.umetrics.com) which has developed and sold software for multivariate analysis since 1987, as well as supports customers with training and consultations. Umetrics' customers include most large and medium sized companies in the pharmaceutical, biopharm, chemical, and semiconductor sectors.
Author: L. Eriksson
Publisher: Umetrics Academy
ISBN: 9197373052
Category : Mathematics
Languages : en
Pages : 509
Get Book Here
Book Description
To understand the world around us, as well as ourselves, we need to measure many things, many variables, many properties of the systems and processes we investigate. Hence, data collected in science, technology, and almost everywhere else are multivariate, a data table with multiple variables measured on multiple observations (cases, samples, items, process time points, experiments). This book describes a remarkably simple minimalistic and practical approach to the analysis of data tables (multivariate data). The approach is based on projection methods, which are PCA (principal components analysis), and PLS (projection to latent structures) and the book shows how this works in science and technology for a wide variety of applications. In particular, it is shown how the great information content in well collected multivariate data can be expressed in terms of simple but illuminating plots, facilitating the understanding and interpretation of the data. The projection approach applies to a variety of data-analytical objectives, i.e., (i) summarizing and visualizing a data set, (ii) multivariate classification and discriminant analysis, and (iii) finding quantitative relationships among the variables. This works with any shape of data table, with many or few variables (columns), many or few observations (rows), and complete or incomplete data tables (missing data). In particular, projections handle data matrices with more variables than observations very well, and the data can be noisy and highly collinear. Authors: The five authors are all connected to the Umetrics company (www.umetrics.com) which has developed and sold software for multivariate analysis since 1987, as well as supports customers with training and consultations. Umetrics' customers include most large and medium sized companies in the pharmaceutical, biopharm, chemical, and semiconductor sectors.
Author: Ana Patricia Ferreira
Publisher: Academic Press
ISBN: 012811066X
Category : Medical
Languages : en
Pages : 465
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Book Description
Multivariate Analysis in the Pharmaceutical Industry provides industry practitioners with guidance on multivariate data methods and their applications over the lifecycle of a pharmaceutical product, from process development, to routine manufacturing, focusing on the challenges specific to each step. It includes an overview of regulatory guidance specific to the use of these methods, along with perspectives on the applications of these methods that allow for testing, monitoring and controlling products and processes. The book seeks to put multivariate analysis into a pharmaceutical context for the benefit of pharmaceutical practitioners, potential practitioners, managers and regulators. Users will find a resources that addresses an unmet need on how pharmaceutical industry professionals can extract value from data that is routinely collected on products and processes, especially as these techniques become more widely used, and ultimately, expected by regulators. - Targets pharmaceutical industry practitioners and regulatory staff by addressing industry specific challenges - Includes case studies from different pharmaceutical companies and across product lifecycle of to introduce readers to the breadth of applications - Contains information on the current regulatory framework which will shape how multivariate analysis (MVA) is used in years to come
Author: Karin Wåhlén
Publisher: Linköping University Electronic Press
ISBN: 9179297838
Category :
Languages : en
Pages : 79
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Book Description
Chronic widespread pain (CWP), including fibromyalgia (FM), is a complex pain condition, where little is known about the molecular mechanisms contributing to its pathophysiology. To date, there are no established biomarkers for CWP/FM. This thesis has investigated potential molecular mechanisms and biomarkers in blood for chronic pain in women with CWP/FM. Furthermore, investigations are made to evaluate whether common pain characteristics such as pain intensity, sensitivity, and psychological distress in CWP/FM are correlated with specific proteins in blood. The pain profile of CWP/FM, which includes the plasma proteome and clinical characteristics, is analyzed using proteomics, advanced multivariate statistics, and bioinformatics. The results from paper I, III, and IV indicate that there are prominent systemic changes related to immunity, inflammation, and metabolic processes in women with CWP/FM compared to healthy controls. Furthermore, paper II and III show that in CWP/FM, pain intensity is related to protein profiles involved in immunity processes, psychological distress with metabolic and immunity processes, and pain sensitivity with inflammatory processes. In paper IV, the plasma proteome is investigated before and after a 15 weeks resistance exercise intervention in FM and healthy controls. Both at baseline and post exercise in FM and controls, prominent protein alterations are found that are involved in immunity, stress, mRNA stability, and muscle structure development. Exercise seems to influence clinical characteristics and circulating proteins in FM. Furthermore, specific plasma proteome profile is found related to grade of chronification, pain sensitivity, and improved muscle force of the quadriceps muscle. To summarize, the results from this thesis suggest that in CWP/FM there might be a dysregulation in the biological processes involved in the immune system and metabolic processes, which are tightly linked to several proteins in the complement system and blood coagulation cascade. These results shed light on potential ongoing mechanisms involved in the pathophysiology of the complex pain condition CWP/FM. This type of biomarker research has a large potential in increasing knowledge about mechanisms involved in CWP/FM and can hereby open for better clinical understanding and management of this and other chronic pain states. The clinical value of collecting a blood sample and measuring stable pain mechanism markers in combination with evaluation of anamnesis and clinical examination would in the future help clinicians and patients receive a faster and more precise diagnosis and ultimately better treatment strategies. Långvarig smärta har blivit vanligare bland befolkningen och är idag ett stort hälsoproblem. Ca 1 av 10 drabbas av generaliserad smärta (engelska: chronic widespread pain, CWP) dvs smärta spridd över hela kroppen. Fibromyalgi (FM), som ingår i CWP drabbar ca 1-4% av befolkningen och är vanligare bland kvinnor än män. Det är vanligt att personer med CWP/FM utöver sin spridda smärta även upplever trötthet, sömnsvårigheter, depression, ångest, ökad smärtkänslighet och stelhet av muskler och leder. Symtomen har i sin tur stor påverkan på arbetsförmåga, hälsa och livskvalitet. Idag är dem bakomliggande orsakerna för CWP/FM ofullständigt kartlagda och det finns inga markörer som på ett objektivt sätt kan fastställa diagnos. Syftet med denna avhandling är att undersöka hur proteiner i blod skiljer sig åt mellan kvinnor med CWP/FM och friska kvinnliga kontroller. Vidare har syftet varit att undersöka om kliniska variabler, till exempel smärtintensitet, smärtkänslighet och psykologisk belastning (ångest/depression), har ett samband med proteinmönster i blod. Slutligen har effekten av ett 15 veckors träningsprogram och dess påverkan på proteiner i blod samt kliniska variabler hos kvinnor med FM och friska kontroller analyserats. I studie I, III, och IV studerades proteinmönstret i blod mellan CWP/FM och kontroller. Resultatet visade att flertalet proteiner kunde urskilja CWP/FM gruppen från kontrollerna. Dessa proteiner var involverade i flertalet förlopp i kroppen bland annat inflammation, metabolism och immunförsvar. I studie II och III undersöktes om det funna proteinmönstret i blod hade något samband med smärtintensitet, smärtkänslighet och psykologisk belastning hos denna specifika CWP/FM grupp. Resultatet visade att det fanns ett specifikt proteinmönster kopplat till respektive undersökt variabel. Smärtintensitet var relaterat till proteiner involverade i immunförsvar; smärtkänslighet var relaterat till proteiner inom inflammation; och psykologisk belastning var relaterat till proteiner inom metabolism och immunförsvar. I studie IV studerades proteinmönstret i blod före och efter 15 veckors styrketräning hos FM samt friska kontroller. Resultaten visade att det fanns förändringar i specifika proteiner involverade i flertalet förlopp i kroppen bland annat stress, processer för muskelstrukturutveckling samt immunförsvar. Vidare sågs även ett specifikt mönster av proteiner som kunde relateras till smärtans varaktighet (dvs hur länge man levt med smärta), smärtkänslighet samt förbättrad muskelstyrka i lårmuskeln. Styrketräning visade sig ha en positiv effekt på flera av de rapporterade symtomen hos FM gruppen och till viss del påverkades även proteinmönstret. Sammanfattningsvis har studierna i denna avhandling visat att i denna specifika CWP/FM grupp finns skillnader i proteinmönstret i blod jämfört med friska kontroller. Det funna proteinmönstret är främst involverat i olika förlopp inom blodkoagulation samt olika komponenter kopplade till immunförsvaret. Genom identifieringen av dessa specifika proteinmönster i blodet hos CWP/FM kan det bidra till ökad förståelse av bakomliggande sjukdomsmekanismer hos denna patientgrupp. Detta kan i framtiden bidra till underlättandet av diagnosticering, behandling, rehabilitering och slutligen skapa kliniska verktyg i form av smärtmarkörer vid utredning av olika långvariga smärttillstånd.
Author: Cira Perna
Publisher: Springer
ISBN: 3319739069
Category : Mathematics
Languages : en
Pages : 335
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Book Description
This book includes a wide selection of the papers presented at the 48th Scientific Meeting of the Italian Statistical Society (SIS2016), held in Salerno on 8-10 June 2016. Covering a wide variety of topics ranging from modern data sources and survey design issues to measuring sustainable development, it provides a comprehensive overview of the current Italian scientific research in the fields of open data and big data in public administration and official statistics, survey sampling, ordinal and symbolic data, statistical models and methods for network data, time series forecasting, spatial analysis, environmental statistics, economic and financial data analysis, statistics in the education system, and sustainable development. Intended for researchers interested in theoretical and empirical issues, this volume provides interesting starting points for further research.
Author: Robert C. Smart
Publisher: John Wiley & Sons
ISBN: 1119042429
Category : Science
Languages : en
Pages : 1060
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Book Description
Written as an advanced text for toxicology students, this book is much more than an introduction and provides in-depth information describing the underlying mechanisms through which toxicants produce their adverse responses. • Links traditional toxicology to modern molecular techniques, important for teaching to graduate courses and professional studies • Uses a didactic approach with basic biological or theoretical background for the methodology presented • Brings together and comprehensively covers a range of dynamic aspects in biochemical and molecular toxicology • Guides student and professional toxicologists in comprehending a broad range of issues, compiled and authored by a diverse group of experts • “A good introductory textbook covering the biochemical toxicology of organic substances and the relevant methodology in some detail.... It offers good value for money and can be recommended as a textbook for appropriate courses” – BTS Newsletter review of the 4th edition
Author: Avelino Núñez-Delgado
Publisher: Springer Nature
ISBN: 3031505034
Category :
Languages : en
Pages : 287
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Book Description
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1522575022
Category : Computers
Languages : en
Pages : 2362
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Book Description
Web service technologies are redefining the way that large and small companies are doing business and exchanging information. Due to the critical need for furthering automation, engagement, and efficiency, systems and workflows are becoming increasingly more web-based. Web Services: Concepts, Methodologies, Tools, and Applications is an innovative reference source that examines relevant theoretical frameworks, current practice guidelines, industry standards and standardization, and the latest empirical research findings in web services. Highlighting a range of topics such as cloud computing, quality of service, and semantic web, this multi-volume book is designed for computer engineers, IT specialists, software designers, professionals, researchers, and upper-level students interested in web services architecture, frameworks, and security.
Author: Oliver A.H. Jones
Publisher: CABI
ISBN: 1780642008
Category : Science
Languages : en
Pages : 207
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Book Description
The metabolomics and systems biology approach to research can be applied to many disciplines. This book provides a solid introduction to medical metabolomics and systems biology, and demonstrates how they have been applied to studies in medicine and human health, including nutrition and pathogenic microorganisms. Following core themes of diagnosis, pathology and aetiology of disease, this book provides a reference for health care professionals interested in how to use metabolomics for medical research.
Author: Patrick Bangert
Publisher: Gulf Professional Publishing
ISBN: 0128209143
Category : Science
Languages : en
Pages : 290
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Book Description
Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. - Chart an overview of the techniques and tools of machine learning including all the non-technological aspects necessary to be successful - Gain practical understanding of machine learning used in oil and gas operations through contributed case studies - Learn change management skills that will help gain confidence in pursuing the technology - Understand the workflow of a full-scale project and where machine learning benefits (and where it does not)
Author: Gabriel Paës
Publisher: Frontiers Media SA
ISBN: 2889636194
Category :
Languages : en
Pages : 210
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Book Description
Lignocellulose is the only renewable carbon source that can help replace oil-based chemicals and materials, in the process fighting global warming. However, because of its chemical and structural complexity, lignocellulose transformation into advanced products requires a better understanding of its composition and of its architecture at different scales, as well as a combination of physical, biological, and chemical processes, in order to render this transformation efficient and economically competitive. Tremendous efforts continue to be made toward the production of ethanol as a biofuel from various lignocellulosic feedstocks. Furthermore, recent successes have been achieved in extracting fibers to prepare composite materials that can compete with plastic fabrics. Importantly, lignocellulose chemistry can bring to the market original and complex chemicals that can lead to new applications, in particular when exploiting aromatic molecules or oligosaccharides from lignocellulose to produce solvents, surfactants, plasticizers, functional additives for food/feed/cosmetics, drugs, monomers, and polymers. In addition to this broad range of molecular products, fibers and particles fractionated from the lignocellulosic biomass are increasingly used to elaborate bio-based composite materials.
