Professional Development, Reflection and Decision-Making in Nursing and Healthcare

Die digitale Revolution ist auf unseren Tellern angekommen. Egal ob Lieferapps, selbstfahrende Erntemaschinen oder unser Abendessen auf Instagram, digitale Technologie bestimmt heute nicht nur, wie wir zu unserem Essen finden, sondern auch wie Lebensmittel angebaut, geliefert und gekocht werden. Arbeitet der Bauer in Zukunft noch auf dem Feld, kochen wir noch selbst, oder erledigen Roboter das f?r uns? Olaf Deininger und Hendrik Haase recherchieren in den Laboren der Industrie, den Thinktanks der Hochschulen und in den Garagen von Food-Startups, sie schauen durch die Hintert?ren der Tech-Giganten und in die Geister-K?chen der neuen Lieferdienste. Sie kaufen im voll vernetzten Supermarkt der Zukunft ein und lassen mit der Landwirtin von morgen autonome Drohnen ­?ber dem Acker steigen. Sie zeigen, wie die digitale Technologie unsere Lebensmittelwelt ver?nder, und stellen die Chancen, aber auch die Gefahren dieser tiefgreifenden Ver?nderung dar.

Quality and Safety in Nursing First published in 2012, Quality and Safety in Nursing was the first volume of its kind to explore the role of the nursing community in improving quality of care and patient safety. Now in its third edition, this comprehensive resource remains essential reading for all those involved in equipping current and future nurses with the knowledge, skills, and attitudes (KSAs) needed to deliver exceptional care. The new edition begins with an overview of the Quality and Safety Education for Nurses (QSEN) initiative and its origins in the Future of Nursing report published in 2010, before defining each of the six QSEN competencies: patient-centered care, teamwork and collaboration, evidence based practice, quality improvement, safety and informatics. The content incorporates the 2020-2030 Future of Nursing recommendations, as well as the 2021 AACN Essentials for Education competencies. Finally, the text presents both teaching and clinical application strategies for building and implementing a culture of quality and safety across settings. Integrates QSEN competencies in simulation and provides new instructional and practice approaches Features redesigned chapters for reimagining classroom and clinical learning, applying reflective practices and transforming education and practice through inter-professional teamwork Provides new case studies and personal accounts highlighting key principles and their application in real-world scenarios Contains new and expanded material on assessment and evaluation, transition to practice, leadership and management, and primary, outpatient, and ambulatory care Offers a new discussion of future research directions and global perspectives on quality and safety Quality and Safety in Nursing, Third Edition is required reading for graduate students in nursing education programs, faculty in nursing schools, nursing and healthcare educators, clinical nurse specialists, clinical administrators, and those working in professional development and quality improvement.

Los recuerdos son una parte integral de la experiencia humana. Nos persiguen, los atesoramos, y durante nuestras vidas reunimos m?s de ellos en cada nueva experiencia. Sin la memoria no ser?amos capaces de mantener una relaci?n, manejar nuestros autos, conversar con nuestros hijos, leer un poema, ver televisi?n o hacer pr?cticamente cualquier cosa. La memoria: una breve introducci?n explora las fascinantes particularidades de la memoria humana. ?Es una sola cosa o muchas? ?Por qu? parece funcionar bien algunas veces y otras no? ?Qu? ocurre cuando «funciona mal»? ?Puede ser mejorada o manipulada a trav?s de t?cnicas tales como la mnemotecnia o los «implantes cerebrales»? ?C?mo cambia la memoria a medida que envejecemos? ?Y qu? ocurre con las as? llamadas «memorias recobradas»? ?Podemos confiar en ellas como un registro de lo que efectivamente ocurri? en nuestro pasado personal? Este libro re?ne nuestro m?s reciente conocimiento para abordar, de forma rigurosamente cient?fica, pero altamente accesible, estas y otras muchas preguntas importantes sobre c?mo funciona la memoria, y por qu? no podemos vivir sin ella.

El desarrollo de motores de b?squeda ha crecido en los ?ltimos a?os gracias al uso de herramientas y frameworks open source, pues facilitan una base sobre la cual realizar nuestras aplicaciones orientadas a la extracci?n y b?squeda de diferentes fuentes de datos. Si desea adquirir los conocimientos necesarios para dominar las principales herramientas open source, las librer?as y los frameworks, ha llegado al libro indicado. Este manual le proporciona, desde un enfoque te?rico-pr?ctico, todos los conceptos e instrucciones que le permitir?n construir desde cero motores de b?squeda utilizando los lenguajes de programaci?n Java y Python. Gracias a los contenidos del libro: o Conocer? la estructura y naturaleza de un motor de b?squeda, as? como la importancia de los sistemas de b?squeda y recuperaci?n de la informaci?n. o Aprender? los principales motores de b?squeda open source y su funcionamiento interno. o Dominar? las diferentes herramientas para desarrollar motores de b?squeda utilizando frameworks de desarrollo dentro de los ecosistemas de programaci?n Java y Python. Adem?s, con el objetivo de obtener el m?ximo provecho de las herramientas y facilitar el seguimiento de las pr?cticas del libro, en la primera p?gina se proporciona el acceso al repositorio con el c?digo de los ejemplos desarrollados. H?gase con el libro y descubra las principales herramientas que todo desarrollador e ingeniero de software debe dominar para desarrollar sus propios motores de b?squeda.

A thorough treatment of the statistical methods used to analyze doubly truncated data In The Statistical Analysis of Doubly Truncated Data, an expert team of statisticians delivers an up-to-date review of existing methods used to deal with randomly truncated data, with a focus on the challenging problem of random double truncation. The authors comprehensively introduce doubly truncated data before moving on to discussions of the latest developments in the field. The book offers readers examples with R code along with real data from astronomy, engineering, and the biomedical sciences to illustrate and highlight the methods described within. Linear regression models for doubly truncated responses are provided and the influence of the bandwidth in the performance of kernel-type estimators, as well as guidelines for the selection of the smoothing parameter, are explored. Fully nonparametric and semiparametric estimators are explored and illustrated with real data. R code for reproducing the data examples is also provided. The book also offers: A thorough introduction to the existing methods that deal with randomly truncated data Comprehensive explorations of linear regression models for doubly truncated responses Practical discussions of the influence of bandwidth in the performance of kernel-type estimators and guidelines for the selection of the smoothing parameter In-depth examinations of nonparametric and semiparametric estimators Perfect for statistical professionals with some background in mathematical statistics, biostatisticians, and mathematicians with an interest in survival analysis and epidemiology, The Statistical Analysis of Doubly Truncated Data is also an invaluable addition to the libraries of biomedical scientists and practitioners, as well as postgraduate students studying survival analysis.