Objective: To provide an overview of the Generation Z, compare and contrast Generation Z with previous generations, and present information on how to best educate members of Generation Z.
Design: Literature review.
Setting: Not applicable.
Participants: Not applicable.
Results: Historical events and societal trends as well as changes in parenting style has resulted in unique characteristics for Generation Z. The most significant influence on this generation has been the wide-spread use of the smart phone. While this device has great educational potential, it also presents a real risk with digital foot prints influencing residency selection and evolution of mental health problems.
Conclusions: The characteristics of Generation Z such accountability, emphasis on achievement and dedication to long-term goals makes them different from previous generations.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jsurg.2019.09.004 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Spatial-temporal evolution of the allometric relationship between urban economic and health resources in the Yangtze River Delta urban agglomeration.
PLoS One
January 2025
School of Pharmaceutical Economics and Management, Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China.
The evolution of the spatiotemporal relationship between urban economic growth and health resources within the Yangtze River Delta urban agglomeration provides an important context for understanding the regional development dynamics in China. Previous studies focused on equity in health-resource allocation and service efficiency, often overlooking the allometric growth relationships between health resources and economic variables. This study employs an allometric growth model to elucidate the changing interactions between the number of medical beds, doctors, and urban economic indicators in the Yangtze River Delta region from 2009 to 2022.
View Article and Find Full Text PDFIncidence and predictors of mortality among HIV positive children on anti-retroviral therapy in the selected health facilities of West Wollega Zone, Western Ethiopia: Retrospective cohort study.
PLoS One
January 2025
Departments of Public Health, Institute of Health Sciences, Wollega University, Ethiopia.
Introduction: The mortality rate among Human immunodeficiency Virus (HIV) who have started antiretroviral therapy (ART) continues to be increased in resource-limited countries, despite a decline in developed nations. Furthermore, research within this age group is limited and has not previously been conducted in the study area. Consequently, this study aimed to determine the incidence of mortality and its predictors among HIV-positive children who have been receiving ART at public health facilities in West Wollega.
View Article and Find Full Text PDFA novel feature extraction method based on dynamic handwriting for Parkinson's disease detection.
PLoS One
January 2025
School of Computer Science and Engineering, Changchun University of Technology, Changchun, Jilin, China.
Parkinson's disease (PD) is a common disease of the elderly. Given the easy accessibility of handwriting samples, many researchers have proposed handwriting-based detection methods for Parkinson's disease. Extracting more discriminative features from handwriting is an important step.
View Article and Find Full Text PDFDynamic contrast enhanced MRI in nodal lymphoma: correlation of quantitative MR perfusion parameters with lymphoma subtype, Lugano stage and Ki-67 index.
Br J Radiol
January 2025
Department of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, 110029.
Background: Research into the intratumoral microenvironment in lymphoma has been escalated along with improved survival and new targeted therapies with an intent to refine risk stratification and prognostication. Various studies have reported significance of quantitative DCE-MRI parameters for predicting biological behaviour of various tumors. This study is an endeavour to supplement the existing literature on quantitative DCE-MRI in nodal lymphoma.
View Article and Find Full Text PDFEnergy Resolved Mass Spectrometry Data from Surfaced Induced Dissociation Improves Prediction of Protein Complex Structure.
Anal Chem
January 2025
Department of Chemistry and Biochemistry, Ohio State University, Columbus, Ohio 43210, United States.
Native Mass Spectrometry (nMS) is a versatile technique for elucidating protein structure. Surface-Induced Dissociation (SID) is an activation method in tandem MS predominantly employed for determining protein complex stoichiometry alongside information about interface strengths. SID-nMS data can be collected over a range of acceleration energies, yielding Energy Resolved Mass Spectrometry (ERMS) data.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!