The Intersection of Offline Learning and Rehabilitation.

Front Hum Neurosci

Department of Physical Therapy and Rehabilitation Science, School of Medicine, University of Maryland, Baltimore, MD, United States.

Published: April 2021


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8098688PMC
http://dx.doi.org/10.3389/fnhum.2021.667574DOI Listing

Publication Analysis

Top Keywords

intersection offline
4
offline learning
4
learning rehabilitation
4
intersection
1
learning
1
rehabilitation
1

Similar Publications

Following the 2000s, India witnessed an emergence of cyber-queer spaces in the form of several online multimedia platforms, social media networking and dating sites which explored the intersections of gender and sexuality. Through an analysis of the queer 'I' in digital personal narratives by queer AFAB individuals on multimedia platforms like and we argue that both the design of these websites and this written personal history contain a self-affirming erotic power. This power is enmeshed with and informed by an Indian lesbian political history which demands that we rethink our relationship with the challenges of lesbian desire, intersectionality, caste subalternity and the politics of inclusion both online and offline.

View Article and Find Full Text PDF

Intraoperative navigation system for liver resection based on edge-AI and multimodal AI.

Surg Endosc

September 2025

Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, 168, Litang Road, Changping District, Beijing, 102218, China.

Background: Traditional intraoperative navigation methods show insufficient adaptability in dynamic surgical environments. The rapid development of Artificial Intelligence (AI) presents an opportunity to overcome these limitations, making the construction of real-time, adaptive intraoperative navigation systems a key research goal. This study, based on Edge-AI and multimodal AI technologies, aims to develop and evaluate a foundational system for achieving real-time, offline intraoperative navigation and warnings during minimally invasive liver surgery.

View Article and Find Full Text PDF

This study explores how grieving Filipinos use Facebook to cope with loss and seek support, integrating traditional mourning practices with digital expressions of grief. Despite the growing role of social media in bereavement, research on digital mourning in collectivist cultures remains limited. Using a hermeneutic phenomenological approach, in-depth interviews were conducted with ten bereaved Filipinos to examine their online grieving experiences.

View Article and Find Full Text PDF

Purpose: The human capital in banks is an invaluable asset towards driving innovation and customer success and providing an edge over the competition. However, post-COVID-19 pandemic, rapid adoption of Information and Communication Technologies (ICTs) in Indian banks has increased employee technostress, resulting in adverse job outcomes. This study merges perspectives from psychology, information technology, and organisational behaviour to explore the impact of technostress and leader-member exchange (LMX) on innovative work behaviour (IWB), demonstrating the necessity of a cross-disciplinary approach to address contemporary workplace challenges.

View Article and Find Full Text PDF

STar-DETR: A Lightweight Real-Time Detection Transformer for Space Targets in Optical Sensor Systems.

Sensors (Basel)

February 2025

Shandong Key Laboratory of Space Debris Monitoring and Low-Orbit Satellite Networking, Qingdao University of Technology, Qingdao 266520, China.

Optical sensor systems are essential for space target detection. However, previous studies have prioritized detection accuracy over model efficiency, limiting their deployment on resource-constrained sensors. To address this issue, we propose the lightweight space target real-time detection transformer (STar-DETR), which achieves a balance between model efficiency and detection accuracy.

View Article and Find Full Text PDF