Winner: Fabiola Cabeza de Baca AwardHelen Tiegs didnt take to driving a tractor when she became a farmers wife, but after fifty years she considers herself the hub of the family operation.
Winner: Fabiola Cabeza de Baca AwardHelen Tiegs didnt take to driving a tractor when she became a farmers wife, but after fifty years she considers herself the hub of the family operation.
Coaching in the Grey Space is set to enhance the practice of coaching psychology, by defining the previously unidentified grey space - where boundaries between the coaching and therapeutic terrain intersect.
Nick Clegg, formerly one of Meta s most senior executives, presents a blueprint for reforming Big Tech while preserving the essential openness of the internet Warns of the dangers posed to a free and open global internet by an age of autocrats and a titanic power struggle over AI GuardianAs democracies seek to curb the power of Big Tech, as authoritarian regimes like China and Russia isolate their populations from the internet, and as the AI race supercharges divisions between competing nations, the most powerful tool for bringing us together risks being dismantled.
Read this book to get informed, stay sane, and learn to fight back Lizz Winstead, co-creator ofThe Daily Showand host ofFeminist BuzzkillsA must-read for all who care about bodily autonomy Renee Bracey Sherman, founder of We Testify and co-author ofLiberating AbortionAn urgent, unforgettable book Hannah Matthews, author ofYou or Someone You LoveSince the Supreme Court overturned Roe v.
Der Band untersucht dynamische Konfigurationen, die in der Interaktion von menschlichen und nicht-menschlichen Körpern, von Materialitäten und Technologien entstehen und fragt nach Konzepten, die deren gegenseitige Abhängigkeiten jenseits von Reifizierung und Naturalisierung denken.
This book probes the ethical, practical, and sociopolitical implications of leveraging innovative and disruptive means to address the world's various environmental crises.
Encoding Bioethics addresses important ethical concerns from the perspective of each of the stakeholders who will develop, deploy, and use artificial intelligence systems to support clinical decisions.
Encoding Bioethics addresses important ethical concerns from the perspective of each of the stakeholders who will develop, deploy, and use artificial intelligence systems to support clinical decisions.
In response to the US FDA's Critical Path Initiative, innovative adaptive designs are being used more and more in clinical trials due to their flexibility and efficiency, especially during early phase development.
Now viewed as its own scientific discipline, clinical trial methodology encompasses the methods required for the protection of participants in a clinical trial and the methods necessary to provide a valid inference about the objective of the trial.
**A Guardian Book of the Summer 2025**** The instant top 5 Sunday Times bestseller from political commentator Ash Sarkar **'One of the boldest and most exciting thinkers of her generation' NAOMI KLEIN'Delivers its message with punch and panache .
To facilitate the development of novel drug delivery systems and biotechnology-oriented drugs, the need for new, yet to be developed, and approved excipients continues to increase.
Silver Winner in the Multicultural & Indigenous category of the 2026 Nautilus Book AwardsA compendium of diverse women and nonbinary femmes, the second, expanded edition of this book highlights the contributors journeys with straddling social and ecological issues through both their professional and personal paths and reveals how straddling these edges has surfaced new learning, models, and practices for collective healing.
In clinical trial practice, controversial statistical issues inevitably occur regardless of the compliance with good statistical practice and good clinical practice.
It is estimated that 80 to 90% of drugs under development never make it to the marketplace due to insufficient clinical activity, unacceptable toxicity, rapid appearance of drug resistance, or other factors that should be, at least partially, predictable from preclinical testing.
