Results 71 to 80 of about 6,737,352 (322)
Multi-spectral random illumination using a liquid crystal spatial light modulator
Journal of the European Optical Society-Rapid Publications, 2018 Background Using phase-only liquid crystal spatial light modulator (LC-SLM) to generate random illumination is always used in phase-retrieval and single pixel imaging as it have high energy efficiency.
Xiao Chen, Zhiguang Shi, Weidong Hu
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background We describe clinical and biologic characteristics of neuroblastoma in older children, adolescents, and young adults (OCAYA); describe survival outcomes in the post‐immunotherapy era; and identify if there is an age cut‐off that best discriminates outcomes.
Rebecca J. Deyell +14 more
wiley +1 more source
Pediatric 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
Brain Informatics, 2020 Interpretation of brain activity responses using motor imagery (MI) paradigms is vital for medical diagnosis and monitoring. Assessed by machine learning techniques, identification of imagined actions is hindered by substantial intra- and inter-subject ...
D. F. Collazos-Huertas +4 more
doaj +1 more source
Pediatric 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
Explainable Deep Kernel Learning for Interpretable Automatic Modulation Classification
ComputersModern wireless communication systems increasingly rely on Automatic Modulation Classification (AMC) to enhance reliability and adaptability, especially in the presence of severe signal degradation.
Carlos Enrique Mosquera-Trujillo +4 more
doaj +1 more source
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors
Sensors, 2018 Getting a good feature representation of data is paramount for Human Activity Recognition (HAR) using wearable sensors. An increasing number of feature learning approaches—in particular deep-learning based—have been proposed to extract an effective ...
Frédéric Li +4 more
doaj +1 more source
Developmental Disorders in Children Recently Diagnosed With Cancer
Pediatric Blood &Cancer, EarlyView.ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag +5 more
wiley +1 more source
Nature Communications, 2017 TheLotus japonicus LysM receptor kinase EPR3 perceives rhizobial exopolysaccharides to initiate infection of the root epidermis. Here the authors show that EPR3 also mediates infection thread progression in the root cortex and show that key transcription
Yasuyuki Kawaharada +10 more
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IEEE Access, 2020 The development of convolutional neural networks has promoted the progress of computer-aided diagnostic systems. Details in medical image, such as the texture and tissue structure, are crucial features for diagnosis.
Mengjie Hu +6 more
doaj +1 more source