Development of Predictive Tools for Membrane Ageing PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Development of Predictive Tools for Membrane Ageing PDF full book. Access full book title Development of Predictive Tools for Membrane Ageing by Pierre LeClech. Download full books in PDF and EPUB format.
Author: Pierre LeClech Publisher: IWA Publishing ISBN: 1780406258 Category : Science Languages : en Pages : 196
Book Description
This study increases our current understanding on the degradation/ageing mechanisms occurring on porous membranes used in the water and wastewater industries. Accelerated membrane degradation was obtained through both static and consecutive ageing protocols on the pilot-scale, and a range of carefully selected characterisation and analytical techniques was used to characterise the nascent changes faced by the membrane material. The report covers four interrelated sections: Critical assessment of characterisation techniques Static accelerated ageing Consecutive accelerated ageing Consecutive ageing of industrially-aged membranes. This final report summarises the aims, objectives, outcomes and limitations of the individual work packages, along with some recommendations for future work. This book is co-published with Water Research Australia.
Author: Pierre LeClech Publisher: IWA Publishing ISBN: 1780406258 Category : Science Languages : en Pages : 196
Book Description
This study increases our current understanding on the degradation/ageing mechanisms occurring on porous membranes used in the water and wastewater industries. Accelerated membrane degradation was obtained through both static and consecutive ageing protocols on the pilot-scale, and a range of carefully selected characterisation and analytical techniques was used to characterise the nascent changes faced by the membrane material. The report covers four interrelated sections: Critical assessment of characterisation techniques Static accelerated ageing Consecutive accelerated ageing Consecutive ageing of industrially-aged membranes. This final report summarises the aims, objectives, outcomes and limitations of the individual work packages, along with some recommendations for future work. This book is co-published with Water Research Australia.
Author: Pieter Kubben Publisher: Springer ISBN: 3319997130 Category : Medical Languages : en Pages : 219
Book Description
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Author: Shweta Gupta Publisher: CRC Press ISBN: 1000992896 Category : Computers Languages : en Pages : 197
Book Description
New tools for early detection of cognitive brain diseases like depression, epilepsy, parkinson’s disease etc.and the design, analysia, application of such tools. Immense technical value, novelty, importance of work which is valuable for researchers. Incorporates recent technology - breakthrougha in treating brain disease patients.
Author: Anasse Bari Publisher: John Wiley & Sons ISBN: 1118729412 Category : Business & Economics Languages : en Pages : 371
Book Description
Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions. Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more. Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.
Author: William J. Brady Publisher: Cambridge University Press ISBN: 1009116258 Category : Medical Languages : en Pages : 435
Book Description
Mass medical deployments to large events, such as music festivals or sporting events, are increasing in number, size, and complexity. This textbook provides guidance and direction for rational, effective, and practical medical management of mass gathering events for medical leaders. This is the first authoritative text on mass event medicine, filling a much-needed gap in a large and important area of the specialty. An international group of contributors introduce the specialty and cover topics such as general deployment, staffing, equipment, and resources, moving on to more complex issues such as the business aspect of mass gathering medicine and the legal implications. There are also practical chapters on specific types of events and adverse events such as terrorism, severe weather, and civil disobedience. An invaluable text for all healthcare professionals planning for and attending mass events, particularly EMS professionals, large event planners and administrators, and law enforcement and security personnel.
Author: Eric Siegel Publisher: John Wiley & Sons ISBN: 1119153654 Category : Business & Economics Languages : en Pages : 368
Book Description
"Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a
Author: Walter R. Paczkowski Publisher: Springer Nature ISBN: 3031318870 Category : Business & Economics Languages : en Pages : 381
Book Description
This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions. Readers will explore methods for extracting information from data, work with simple and complex systems, and meld multiple forms of analytics for a more nuanced understanding of data science. The methods can be readily applied to business problems such as demand measurement and forecasting, predictive modeling, pricing analytics including elasticity estimation, customer satisfaction assessment, market research, new product development, and more. The book includes Python examples in Jupyter notebooks, available at the book's affiliated Github. This volume is intended for current and aspiring business data analysts, data scientists, and market research professionals, in both the private and public sectors.
Author: Friedlieb Pfannkuch Publisher: John Wiley & Sons ISBN: 3527336087 Category : Medical Languages : en Pages : 430
Book Description
Ein moderner integrierter Ansatz für die Sicherheitsprüfung in der Arzneimittelentwicklung: Dieses Praktikerbuch behandelt In-silico- und In-vitro-Methoden sowie den Einsatz von Biomarkern, mit denen bei kleinen Arzneistoffmolekülen und Biologika frühzeitig und zuverlässig Toxizitäts-Screenings durchgeführt werden können.
Author: Anasse Bari Publisher: John Wiley & Sons ISBN: 1119267013 Category : Business & Economics Languages : en Pages : 454
Book Description
Use Big Data and technology to uncover real-world insights You don't need a time machine to predict the future. All it takes is a little knowledge and know-how, and Predictive Analytics For Dummies gets you there fast. With the help of this friendly guide, you'll discover the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data. In no time, you'll learn how to incorporate algorithms through data models, identify similarities and relationships in your data, and predict the future through data classification. Along the way, you'll develop a roadmap by preparing your data, creating goals, processing your data, and building a predictive model that will get you stakeholder buy-in. Big Data has taken the marketplace by storm, and companies are seeking qualified talent to quickly fill positions to analyze the massive amount of data that are being collected each day. If you want to get in on the action and either learn or deepen your understanding of how to use predictive analytics to find real relationships between what you know and what you want to know, everything you need is a page away! Offers common use cases to help you get started Covers details on modeling, k-means clustering, and more Includes information on structuring your data Provides tips on outlining business goals and approaches The future starts today with the help of Predictive Analytics For Dummies.
Author: Pierre LeClech
Author: Pierre LeClech
Author: Pieter Kubben
Author: Shweta Gupta
Author: Anasse Bari
Author: William J. Brady
Author: Eric Siegel
Author: James R. Arneson
Author: Walter R. Paczkowski
Author: Friedlieb Pfannkuch
Author: Anasse Bari