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Finding Balance: Collaborative Workflows for Risk Management in Sharing Cultural Heritage Collections Online
Copyright Year: 2023
Contributors: Hintz, Kowalski, Quigley, and Bailey
Publisher: University of Kansas Libraries
License: CC BY-NC
Digitizing rare and unique historical documents so they can be shared online is mission-critical work for most cultural heritage institutions, but it can be difficult to complete this work, especially intellectual property rights management, at a scale that matches user demand. The authors of this open educational resource offer guidance for creating scalable, cross-functional workflows using a risk-management approach that increases efficiency and distributes responsibility for rights assessment work more equitably across stakeholders. It includes advice for navigating knowledge gaps, building an engaged team with the right skillsets, reimagining workflows, and rethinking traditional archival processing workflows to build capacity for rights analysis during arrangement and description. Each chapter includes a helpful exercise for implementing this guidance in your own institution.
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Introduction to Probability
Copyright Year: 2023
Contributor: Baxter
Publisher: John R. Baxter
License: CC BY-SA
This is an introduction to probability theory, designed for self-study. It covers the same topics as the one-semester introductory courses which I taught at the University of Minnesota, with some extra discussion for reading on your own. The reasons which underlie the rules of probability are emphasized. Probability theory is certainly useful. But how does it feel to study it? Well, like other areas of mathematics, probability theory contains elegant concepts, and it gives you a chance to exercise your ingenuity, which is often fun. But in addition, randomness and probability are part of our experience in the real world, present everywhere and yet still somewhat mysterious. This gives the subject of probability a special interest.
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The Shallow and the Deep: A biased introduction to neural networks and old school machine learning
Copyright Year: 2023
Contributor: Biehl
Publisher: University of Groningen Press
License: CC BY-NC-SA
The Shallow and the Deep is a collection of lecture notes that offers an accessible introduction to neural networks and machine learning in general. However, it was clear from the beginning that these notes would not be able to cover this rapidly changing and growing field in its entirety. The focus lies on classical machine learning techniques, with a bias towards classification and regression. Other learning paradigms and many recent developments in, for instance, Deep Learning are not addressed or only briefly touched upon.
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Cultivar Development
Copyright Year: 2023
Contributors: Suza, Lamkey, and Mumm
Publisher: Iowa State University Digital Press
License: CC BY-NC
This open textbook places emphasis on the design of a process pipeline for continuous development of new improved cultivars as a means to implement the cycle of crop improvement. Essential topics in New Line Development and New Line Evaluation are addressed, such as choice of parents, creation of progeny, and evaluation and selection of progeny. Students learn to design a process pipeline to produce improved cultivars that meet a specific product target which represents stakeholders’ needs.
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Quantitative Methods for Plant Breeding
Copyright Year: 2023
Contributors: Suza and Lamkey
Publisher: Iowa State University Digital Press
License: CC BY-NC
This open textbook covers common statistics used in agriculture research, including experimental design in plant breeding and genetics, as well as the analysis of variance, regression, and correlation.
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Language Encounters on the French Colonial Mississippi
Copyright Year: 2023
Contributor: Jones
Publisher: University of Arkansas
License: CC BY
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A Developmental Systems Guide for Child and Adolescent Behavioral Health Practitioners
Copyright Year: 2023
Contributor: Snyder
Publisher: North Broad Press
License: CC BY
A Developmental Systems Guide for Child and Adolescent Behavioral Health Practitioners provides clinicians with actionable evidence-based practices for the assessment, diagnosis, and treatment of child and adolescent mental and behavioral health. This approach combines developmental psychology and ecological systems in recognition of the fact that children’s developmental challenges, tasks, and capacities intersect with the risks and protective factors of their environment. Chapters feature detailed case studies and conclude with conversations with clinicians in which they share targeted recommendations for patient evaluation, treatment approaches, and family engagement and support.
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Organic Chemistry - A Tenth Edition
Copyright Year: 2023
Contributor: McMurry
Publisher: OpenStax
License: CC BY-NC-SA
John McMurry's Organic Chemistry is renowned as the most clearly written book available for organic chemistry. In John McMurry's words, "I wrote this book because I love writing. I get great pleasure and satisfaction from taking a complicated subject, turning it around until I see it clearly from a new angle, and then explaining it in simple words." In Organic Chemistry: A Tenth Edition from OpenStax, McMurry continues this tradition while updating scientific discoveries, highlighting new applications, scrutinizing every piece of art, and providing example problems to assist students. Organic Chemistry: A Tenth Edition continues to meet the scope and sequence of a two-semester organic chemistry course that follows a functional group approach. A highlighted list of changes along with a detailed table of contents and ancillary descriptions can be found on the Instructor and Student resources sections of this page. John McMurry decided to publish Organic Chemistry: A Tenth Edition under an open license as a tribute to his son, Peter McMurry, who passed away from cystic fibrosis in December 2019. Please click here to learn more about Peter's legacy and to support the fight against cystic fibrosis.
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Classical Numerical Methods in Scientific Computing
Copyright Year: 2023
Contributors: van Kan, Segal, and Vermolen
Publisher: TU Delft Open
License: CC BY
Partial differential equations are paramount in mathematical modelling with applications in engineering and science. The book starts with a crash course on partial differential equations in order to familiarize the reader with fundamental properties such as existence, uniqueness and possibly existing maximum principles. The main topic of the book entails the description of classical numerical methods that are used to approximate the solution of partial differential equations. The focus is on discretization methods such as the finite difference, finite volume and finite element method. The manuscript also makes a short excursion to the solution of large sets of (non)linear algebraic equations that result after application of discretization method to partial differential equations. The book treats the construction of such discretization methods, as well as some error analysis, where it is noted that the error analysis for the finite element method is merely descriptive, rather than rigorous from a mathematical point of view. The last chapters focus on time integration issues for classical time-dependent partial differential equations. After reading the book, the reader should be able to derive finite element methods, to implement the methods and to judge whether the obtained approximations are consistent with the solution to the partial differential equations. The reader will also obtain these skills for the other classical discretization methods. Acquiring such fundamental knowledge will allow the reader to continue studying more advanced methods like meshfree methods, discontinuous Galerkin methods and spectral methods for the approximation of solutions to partial differential equations.
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Numerical Methods in Scientific Computing
Copyright Year: 2023
Contributors: van Kan, Segal, and Vermolen
Publisher: TU Delft Open
License: CC BY
This is a book about numerically solving partial differential equations occurring in technical and physical contexts and the authors have set themselves a more ambitious target than to just talk about the numerics. Their aim is to show the place of numerical solutions in the general modeling process and this must inevitably lead to considerations about modeling itself. Partial differential equations usually are a consequence of applying first principles to a technical or physical problem at hand. That means, that most of the time the physics also have to be taken into account especially for validation of the numerical solution obtained. This book aims especially at engineers and scientists who have ’real world’ problems. It will concern itself less with pesky mathematical detail. For the interested reader though, we have included sections on mathematical theory to provide the necessary mathematical background. Since this treatment had to be on the superficial side we have provided further reference to the literature where necessary.
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