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.
DATA WRANGLING Written and edited by some of the world’s top experts in the field, this exciting new volume provides state-of-the-art research and latest technological breakthroughs in data wrangling, its theoretical concepts, practical applications, and tools for solving everyday problems. Data wrangling is the process of cleaning and unifying messy and complex data sets for easy access and analysis. This process typically includes manually converting and mapping data from one raw form into another format to allow for more convenient consumption and organization of the data. Data wrangling is increasingly ubiquitous at today’s top firms. Data cleaning focuses on removing inaccurate data from your data set whereas data wrangling focuses on transforming the data’s format, typically by converting “raw” data into another format more suitable for use. Data wrangling is a necessary component of any business. Data wrangling solutions are specifically designed and architected to handle diverse, complex data at any scale, including many applications, such as Datameer, Infogix, Paxata, Talend, Tamr, TMMData, and Trifacta. This book synthesizes the processes of data wrangling into a comprehensive overview, with a strong focus on recent and rapidly evolving agile analytic processes in data-driven enterprises, for businesses and other enterprises to use to find solutions for their everyday problems and practical applications. Whether for the veteran engineer, scientist, or other industry professional, this book is a must have for any library.
The book provides current knowledge and research on the presence and effects of anticancer drug residues in the aqueous environment and covers all relevant aspects of the presence of these residues in wastewaters and natural aquatic systems, where numerous analogies between their pharmacokinetics and pharmacodynamics in humans and their effects in the environment can be drawn. This book comprises of 18 chapters and represents the combined work of leading scientists from different research institutions from across the globe. We present the state of the art in the field of anticancer drug residues in the aquatic environment while being cognizant of the many challenges that remain.
This book provides a comprehensive view of metabolomics, from the basic concepts, through sample preparation and analytical methodologies, to data interpretation and applications in medicine. It is the first volume to cover metabolomics clinical applications while also emphasizing analytical and statistical features. Moreover, future trends and perspectives in clinical metabolomics are also presented. For researches already experienced in metabolomics, the book will be useful as an updated definitive reference. For beginners in the field and graduate students, the book will provide detailed information about concepts and experimental aspects in metabolomics, as well as examples and perspectives of applications of this strategy to clinical questions.
This book seeks to introduce the reader to current methodologies in analytical calibration and validation. This collection of contributed research articles and reviews addresses current developments in the calibration of analytical methods and techniques and their subsequent validation. Section 1, "Introduction," contains the Introductory Chapter, a broad overview of analytical calibration and validation, and a brief synopsis of the following chapters. Section 2 "Calibration Approaches" presents five chapters covering calibration schemes for some modern analytical methods and techniques. The last chapter in this section provides a segue into Section 3, "Validation Approaches," which contains two chapters on validation procedures and parameters. This book is a valuable source of scientific information for anyone interested in analytical calibration and validation.
In today's rapidly evolving business landscape, organizations are inundated with vast amounts of data, making it increasingly challenging to extract meaningful insights and make informed decisions. The traditional business intelligence (BI) approach must often address the complexity and speed required for effective decision-making in this data-rich environment. As a result, many businesses need help to leverage their data to drive sustainable growth and remain competitive. Intersection of AI and Business Intelligence in Data-Driven Decision-Making presents a transformative solution to this pressing challenge. By exploring the convergence of artificial intelligence (AI) and BI, our book provides a comprehensive framework for leveraging AI-powered BI to revolutionize data analysis, predictive modeling, and decision-making processes. Readers will gain valuable insights into practical applications, emerging trends, and ethical considerations, inspiring and exciting them about the potential of AI in driving business success.
The fourth edition of Process Validation in Manufacturing of Biopharmaceuticals is a practical and comprehensive resource illustrating the different approaches for successful validation of biopharmaceutical processes. A pivotal text in its field, this new edition provides guidelines and current practices, contains industrial case studies, and is expanded to include in-depth analysis of the new Process Validation (PV) guidance from the US FDA. Key Features: Offers readers a thorough understanding of the key concepts that form the basis of a good process validation program for biopharmaceuticals. Includes case studies from the various industry leaders that demonstrate application of these concepts. Discusses the use of modern tools such as multivariate analysis for facilitating a process validation exercise. Covers process characterization techniques for scaling down unit operations in biopharmaceutical manufacturing, including chromatography, chemical modification reactions, ultrafiltration, and microfiltration, and practical methods to test raw materials and in-process samples. Providing a thorough understanding of the key concepts that form the basis of a good process validation program, this book will help readers ensure that PV is carried out and exceeds expectations. Fully illustrated, this is a much-needed practical guide for biopharmaceutical manufacturers.
Intelligence Systems for Earth, Environmental and Planetary Sciences: Methods, Models and Applications provides cutting-edge theory and applications of modern-day artificial intelligence and data science in the Earth, environment, and planetary science fields. The book is divided into three sections: (i) Methods, covering the fundamentals of intelligence systems, along with an introduction to the preparation of datasets; (ii) Models, detailing model development, data assimilation, and techniques in each field; and (iii) Applications, presenting case studies of artificial intelligence and data science solutions to Earth, environmental, and planetary sciences problems, as well as future perspectives. Intelligence Systems for Earth, Environmental and Planetary Sciences will be of interest to students, academics, and postgraduate professionals in the field of applied sciences, Earth, environmental, and planetary sciences and would also serve as an excellent companion resource to courses studying artificial intelligence applications for theoretical and practical studies in Earth, environmental, and planetary sciences. - Facilitates the application of artificial intelligence and data science systems to create comprehensive methodologies for analyzing, processing, predicting, and management strategies in the fields of Earth, environment, and planetary science - Developed with an interdisciplinary framework, with an aim to promote artificial intelligence models for real-time Earth systems - Includes a section on case studies of artificial intelligence and data science solutions to Earth, environmental, and planetary sciences problems, as well as future perspectives
The Light Metals symposia are a key part of the TMS Annual Meeting & Exhibition, presenting the most recent developments, discoveries, and practices in primary aluminum science and technology. Publishing the proceedings from these important symposia, the Light Metals volume has become the definitive reference in the field of aluminum production and related light metal technologies. The 2015 collection includes papers from the following symposia: 1.Alumina and Bauxite 2.Aluminum Alloys: Fabrication, Characterization and Applications 3.Aluminum Processing 4.Aluminum Reduction Technology 5.Cast Shop for Aluminum Production 6.Electrode Technology for Aluminum Production 7.Strip Casting of Light Metals
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.
