Results 101 to 110 of about 5,777,447 (338)

Patient‐Level Barriers and Facilitators to Inpatient Physical Therapy in Adolescents and Young Adults With a Hematological Malignancy: A Qualitative Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher   +8 more
wiley   +1 more source

A Review of Human Activity Recognition Methods

open access: yesFrontiers in Robotics and AI, 2015
Recognizing human activities from video sequences or still images is a challenging task due to problems such as background clutter, partial occlusion, changes in scale, viewpoint, lighting, and appearance.
Michalis eVrigkas   +2 more
doaj   +1 more source

Psychological Safety Among Interprofessional Pediatric Oncology Teams in Germany: A Nationwide Survey

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn   +4 more
wiley   +1 more source

Factorized 3D-CNN for Real-Time Fall Detection and Action Recognition on Embedded System

open access: yesIEEE Access
We present a novel approach for skeleton-based action recognition and fall detection, optimized for real-time performance on embedded devices. Our method employs a factorized 3D convolutional neural network (3D-CNN) to efficiently extract spatiotemporal ...
Nadhira Noor, In Kyu Park
doaj   +1 more source

Characterizing Parental Concerns About Lasting Impacts of Treatment in Children With B‐Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker   +7 more
wiley   +1 more source

Exercise Interventions in Children, Adolescents and Young Adults With Paediatric Bone Tumours—A Systematic Review

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser   +5 more
wiley   +1 more source

Contextual Action Cues from Camera Sensor for Multi-Stream Action Recognition

open access: yesSensors, 2019
In action recognition research, two primary types of information are appearance and motion information that is learned from RGB images through visual sensors. However, depending on the action characteristics, contextual information, such as the existence
Jongkwang Hong   +3 more
doaj   +1 more source

DELP Treatment on Vision and Retinal Microcirculation in Patients With Acute Ischemic Stroke: Report of Five Cases and Literature Review

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li   +9 more
wiley   +1 more source

Local Feature Refinement Action Recognition Method Based on Graph Convolution [PDF]

open access: yesJisuanji gongcheng
Although action recognition is an important research area in computer vision, current mainstream methods lack a sufficient emphasis on local features.
HE Zize, ZHAN Yinwei
doaj   +1 more source

Multi-Expert Human Action Recognition with Hierarchical Super-Class Learning [PDF]

open access: green, 2021
Hojat Asgarian Dehkordi   +4 more
openalex   +1 more source

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