Results 181 to 190 of about 9,502,067 (333)

Experiences of Irish Mentors and Mentees Engaged in a National Nursing and Midwifery Mentorship Programme: Mixed Methods Study With a Qualitative Focus on Mentors' Views

open access: yesJournal of Advanced Nursing, EarlyView.
ABSTRACT Aim To gain an understanding of the experiences of mentors and mentees engaging in a national mentoring programme within nursing and midwifery in Ireland. Design A two‐phased convergent parallel mixed methods study was undertaken. Methods The first phase was a quantitative non‐experimental descriptive study using an online survey with mentors (
Martina Giltenane   +8 more
wiley   +1 more source

Numerical Simulation Analysis of Stirling Engines. Effects on Mesh Number of Regenerator Matrix.

open access: bronze, 1995
Masahumi Nogawa   +4 more
openalex   +2 more sources

Representing, Re‐presenting, or Producing the Past? Memory Work amongst Museum Employees

open access: yesJournal of Management Studies, EarlyView.
Abstract Though it is widely understood that the past can be an important resource for organizations, less is known about the micro‐level skills and choices that help to materialize different representations of the past. We understand these micro‐level skills and choices as a practice: ‘memory work’ – a banner term gathering various activities that ...
Jeremy Aroles   +3 more
wiley   +1 more source

Through the Lens of Fairness: A Qualitative Investigation into Co‐workers’ Perceptions of I‐deals

open access: yesJournal of Management Studies, EarlyView.
Abstract Amidst the rapidly evolving work environment that increasingly necessitates personalized approaches towards employees, there is a pressing need to broaden our understanding of idiosyncratic deals (i‐deals) and their third‐party implications in the workplace.
Sona Gachayeva   +2 more
wiley   +1 more source

Automated Sleep Staging in Epilepsy Using Deep Learning on Standard Electroencephalogram and Wearable Data

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT Automated sleep staging on wearable data could improve our understanding and management of epilepsy. This study evaluated sleep scoring by a deep learning model on 223 night‐sleep recordings from 50 patients measured in the hospital with an electroencephalogram (EEG) and a wearable device.
Jaiver Macea   +4 more
wiley   +1 more source

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