Results 31 to 40 of about 1,931,146 (299)

Nutritional and Behavioral Intervention for Long‐Term Childhood Acute Leukemia Survivors With Metabolic Syndrome

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine, Béliard Sophie, Renard Cécile, Caussy Cyrielle, Hamidou Zeinab, Romano David, Gacem Mélanie, Petit Arnaud, Saultier Paul, Borentain Patrick, Michel Gérard   +10 more
wiley   +1 more source

A Wearable Bracelet for Simultaneous Monitoring of Transcutaneous Carbon Dioxide and Pulse Rates

Advanced Electronic Materials
Daily monitoring of psychological parameters, encompassing chemical and physical signals, has become increasingly valuable for the management of chronic diseases.
Yaoxuan Cui, Qingpeng Cao, Xubin Zheng, Hao Dong, Jin Wang, Feng Xu, Libin Qian, Di Wang   +7 more
doaj   +1 more source

A Multiscale Self-Adaptive Attention Network for Remote Sensing Scene Classification

Remote Sensing, 2020
High-resolution optical remote sensing image classification is an important research direction in the field of computer vision. It is difficult to extract the rich semantic information from remote sensing images with many objects.
Lingling Li, Pujiang Liang, Jingjing Ma, Licheng Jiao, Xiaohui Guo, Fang Liu, Chen Sun   +6 more
doaj   +1 more source

Clinical Correlates of Anxiety and Depression After Diagnosis of a Pediatric Brain Tumor

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The prevalence and clinical correlates of symptoms of anxiety and depression in pediatric patients with brain tumors are not well described. We aimed to identify clinical characteristics that are correlated with elevated symptoms of anxiety and depression following initial diagnosis.
Bryony J. Lucas, Se‐Kang Kim, Joan Yu, Ana Sofia C. Ibarrola, Heather H. Stancel, Kavyaa Choudry, Mary Elizabeth Moody, Krystal K. Christopher, David R. Grosshans, Arnold C. Paulino, Guillermo Aldave, M. Fatih Okcu, Murali M. Chintagumpala, Austin L. Brown, Michael E. Scheurer, Kimberly P. Raghubar, Lisa S. Kahalley   +16 more
wiley   +1 more source

A Survey of Deep Learning-Based Object Detection

IEEE Access, 2019
Object detection is one of the most important and challenging branches of computer vision, which has been widely applied in people’s life, such as monitoring security, autonomous driving and so on, with the purpose of locating instances of ...
Licheng Jiao, Fan Zhang, Fang Liu, Shuyuan Yang, Lingling Li, Zhixi Feng, Rong Qu   +6 more
doaj   +1 more source

Multisensory flavor perception [PDF]

Cell, 2013
The perception of flavor is perhaps the most multisensory of our everyday experiences. The latest research by psychologists and cognitive neuroscientists increasingly reveals the complex multisensory interactions that give rise to the flavor experiences we all know and love, demonstrating how they rely on the integration of cues from all of the human ...
openaire   +6 more sources

Relation of Adverse Childhood Experiences to Clinical and Patient‐Reported Outcomes for Adults With Sickle Cell Disease: A Registry Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adverse childhood experiences (ACEs) are stressful or traumatic events prior to age 18 that are known to have a lasting impact on individuals’ health and well‐being. There is a gap in understanding the relationship between ACEs and Other Life Stressors and health status for adults with sickle cell disease (SCD).
Marsha Treadwell, Jessica Liang, Liliana Preiss, Angela Rivers, Jane S. Hankins, Allison King, Justin Williams, Michael B. Potter, Danielle Hessler   +8 more
wiley   +1 more source

Change Detection Based on Multi-Grained Cascade Forest and Multi-Scale Fusion for SAR Images

Remote Sensing, 2019
In this paper, a novel change detection approach based on multi-grained cascade forest(gcForest) and multi-scale fusion for synthetic aperture radar (SAR) images is proposed.
Wenping Ma, Hui Yang, Yue Wu, Yunta Xiong, Tao Hu, Licheng Jiao, Biao Hou   +6 more
doaj   +1 more source

Semi-Supervised Node Classification With Discriminable Squeeze Excitation Graph Convolutional Networks

IEEE Access, 2020
In recent years, Graph Convolutional Networks (GCNs) have been increasingly and widely used in graph data representation and semi-supervised learning. GCNs can reveal and dig deep into irregular data with spatial topological structure.
Nan Jia, Xiaolin Tian, Yang Zhang, Fengge Wang   +3 more
doaj   +1 more source

Multi-Scale Fused SAR Image Registration Based on Deep Forest

Remote Sensing, 2021
SAR image registration is a crucial problem in SAR image processing since the registration results with high precision are conducive to improving the quality of other problems, such as change detection of SAR images. Recently, for most DL-based SAR image
Shasha Mao, Jinyuan Yang, Shuiping Gou, Licheng Jiao, Tao Xiong, Lin Xiong   +5 more
doaj   +1 more source