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RTL Hits - Die Grosse 2000er Edition 2
Datenträger

RTL Hits - Die Grosse 2000er Edition

A Memoir

And You Will Call It Fate

Collected Poems, 1998-2020

Patricia Jabbeh Wesley

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A hands-on approach to understanding the impact of local and global stresses on ecosystems Ecotoxicology: A Case-based Approach follows a "learning by doing" approach, building a deeper understanding of this multi-faceted discipline through the guided analysis of five carefully selected case studies that between them address both local and global anthropogenic impacts on ecosystem structure and function. The book is divided into three sections. Section I covers the definition, history and methodology of ecotoxicology. Section II comprises five case studies, each detailing a selected anthropogenic stress, showing how the ecotoxicological approach has been used to explain its environmental impact and by doing so has provided mitigation and restoration strategies. The final section highlights future directions of ecotoxicology. To aid in reader learning, each chapter includes a test bank and reading list for further study. Written by a highly experienced instructor with more than 30 years of studying and teaching the subject, Ecotoxicology includes case studies on: <ul> <li>Acid rain in the past and in the present</li> <li>Finfish and shellfish aquaculture</li> <li>The tar sands of Canada, as an example of the consequences of oil and gas extraction</li> <li>The release of toxic metals such as mercury, lead and cadmium, and the dumping of chemical wastes and other contaminants of concern in the Great Lakes area</li> </ul> Ecotoxicology: A Case-based Approach is an essential guide for upper undergraduate and postgraduate students in ecology and environmental sciences, as well as professionals and policy makers concerned with the conservation and sustainable management of natural resources.

A Case-based Approach

Ecotoxicology

A Introduction

Austrian Economics

How do we combat racism in a world determined to tell us it doesn't exist? To hold the line against racism, we need to know it when we see it. And as the dominant racial group in our society, White people must take up the charge. The problem is that White people haven't been socialised to detect racial bias in the way people of colour do. Racism is more than using racial slurs or overt, hateful speech, and it's more than unintentional slights; it's about an entire system that upholds Whiteness as the preferred standard. Fortunately, detecting it is a skill that can be learned. The Bias Gap is a re-education, call to action and practical guide, full of research-backed strategies including how to: · cultivate a growth mindset about bias · unlearn colourblindness and practice colour consciousness · talk to kids about race and racism - and bring others along for the journey At a time when diversity, equity and inclusion (DEI) is under coordinated attack, The Bias Gap is the essential toolkit for anyone who believes we all have a role to play in creating a more equitable world. Evelyn R. Carter, PhD, is a social psychologist and DEI expert, who has applied cutting-edge bias detection practices in a vast array of industries ranging from higher education to financial services, from technology to retail and professional sports, and at organisations like American Express, Burberry, Nike and Uber. Dr Carter's work has been featured in The Atlantic, Harvard Business Review and more.

How to Detect, Interrupt and Unlearn Bias in Everyday Life

Was That Racist?

Marty Moose

Funny animal friendship adventure stories for readers age 6, 7, 8

Marty Moose: The Great Stamp-ede

Coercion and the Making of the Modern World

Empires of Labor

With the rapid recent advances in the field of railway systems and infrastructure construction, and the evolution of AI tools that have enormous potential for application to railway design, maintenance and operations, industry professionals and researchers need an up-to-date resource on these developments. Artificial Intelligence Methods in Railway Infrastructure Systems: Application of Data Centric Engineering addresses this need. The book encapsulates the latest breakthroughs and contributions in these pivotal areas, providing readers with comprehensive insights into the cutting-edge methodologies and approaches shaping the field of railway infrastructure management. For engineers and researchers, the book provides a focused explanation of AI methodologies such as machine learning, computer vision and predictive analytics and their implementation to railway infrastructure development, tools that are new to this field. It combines theory with practical examples of the application of data centric engineering in structural health monitoring of monitoring of railway systems, thus enabling early anomaly detection and empowering infrastructure managers to address potential issues before they escalate. Given the expansive scope of research driving technological advancements in railway infrastructure management, this book serves as a reference for readers seeking to explore novel AI-based methodologies and harness their potential in the field. Readers will benefit from insights into how AI innovations can streamline their operations and enhance network safety across multiple dimensions. By providing a comprehensive overview of the subject matter, this book guides anticipatory strategies and shape future trends in railway infrastructure management.

RTL Hits - Die Grosse 2000er Edition

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