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Objective: Aim: This paper aims to examine the fear of death and psychotherapeutic techniques to face and confront this fear.
Patients And Methods: Materials and Methods: The authors used interpretive research paradigm, integrative anthropological approach, and hermeneutic approach. The data collection was carried out using PubMed, Scopus, Web of Science, Google Scholar databases.
Analyzing Patient Experience on Weibo: Machine Learning Approach to Topic Modeling and Sentiment Analysis.
JMIR Med Inform
November 2024
Department of Nursing, Fudan University Zhongshan Hospital, Room 501, No 180 Fenglin road, Xuhui District, Shanghai, 200032, China, 86 13816881925, 86 64041990.
Article Synopsis
- Social media platforms are crucial for gathering and sharing public experiences with health care, serving as a key tool for understanding patient perspectives.
- This study analyzed posts from Weibo to identify common topics and concerns in patient experiences, utilizing machine learning techniques for topic classification and sentiment analysis.
- Results showed that a significant majority (82.81%) of posts expressed negative sentiments, with major themes including the attitudes of health care professionals, access to care, and the effectiveness of treatment, indicating important areas for health care providers to address.
The time of and the afterlife of apartheid trauma.
Int J Psychoanal
October 2024
Centre for the Study of the Afterlife of Violence and the Reparative Quest, Stellenbosch University, Stellenbosch, South Africa.
This article explores the concept of transgenerational trauma. I draw from two distinct archives to approach the "transgenerational" in a more nuanced manner - one that moves beyond a linear past-to-present trajectory. The first of these is the Freudian archive, where I revisit the concept of to shed light on the temporal dynamics between past and present, particularly in the affective responses of young black students during interactions with their white peers.
View Article and Find Full Text PDFTask-agnostic exoskeleton control via biological joint moment estimation.
Nature
November 2024
George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Lower-limb exoskeletons have the potential to transform the way we move, but current state-of-the-art controllers cannot accommodate the rich set of possible human behaviours that range from cyclic and predictable to transitory and unstructured. We introduce a task-agnostic controller that assists the user on the basis of instantaneous estimates of lower-limb biological joint moments from a deep neural network. By estimating both hip and knee moments in-the-loop, our approach provided multi-joint, coordinated assistance through our autonomous, clothing-integrated exoskeleton.
View Article and Find Full Text PDF[The announcement in pediatric oncology - Feedback on simulation-based training within the GOCE (Grand Ouest cancer de l'enfant - Grand West Childhood Cancer)].
Bull Cancer
December 2024
Unité d'hémato-onco-immunologie pédiatrique, université d'Angers, CHU d'Angers, Angers, France; Grand Ouest cancer de l'enfant (GOCE), Angers, France. Electronic address:
The announcement of a cancer diagnosis is a crucial moment in the management of the disease, as it is the starting point for a relationship of trust between patient and caregiver. In 2005, this issue led to the creation of an announcement system as part of the 2003-2007 cancer plan, but its implementation in practice remains uncertain. Pediatric oncology has its own specificities, with a triangular relationship and the need for doctors to adapt to the child's age.
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