Results 41 to 50 of about 11,603,043 (210)

Parents of Youth With Cancer Report on Their Psychosocial Care: iSTEPPP Survey Finds Alignment and Gaps With Standards

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families guide the provision of comprehensive psychosocial care. Parallel to research characterizing implementation of the Standards from the perspective of providers, this study examines implementation of the Standards from the perspective of parents of youth ...
Emily M. Pariseau, Kimberly Buff, Michele A. Scialla, Kimberly S. Canter, Lori Wiener, Victoria Sardi‐Brown, Julia B. Tager, Kamyar Arasteh, Anne E. Kazak   +8 more
wiley   +1 more source

MU-LSM: latent spectral model based on multi-scale fusion and UNet

Complex & Intelligent Systems
For partial differential equations (PDE), neural operators can learn the mapping of input and output functions in infinite dimensional Spaces by introducing kernel functions into linear transformations.
Jingjian Chen, Jie Nie, Ning Song, Min Ye, Zhiqiang Wei   +4 more
doaj   +1 more source

Neurocognitive, School‐Based, and Quality of Life Outcomes for Youth With Sickle Cell Disease and Thalassemia: A Scoping Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT The medical burdens of sickle cell disease (SCD) and transfusion‐dependent β‐thalassemia (TDT) are chronic and cumulative, even in children. Yet the effects expand beyond medications and healthcare visits due to their impacts on school attendance, academic performance, and peer engagement.
Mary Ann Etling, Hakim Tokhi, Alexander A. Boucher   +2 more
wiley   +1 more source

ENHANCED U-NET ALGORITHM FOR TYPICAL CROP CLASSIFICATION USING GF-6 WFV REMOTE SENSING IMAGES

Engenharia Agrícola
Accurate crop classification, crucial for a macro-level understanding of food production, formulating relevant agricultural policies, and predicting comprehensive agricultural productivity, enables precise crop distribution.
Yinjiang Jia, Hao Lan, Renshan Jia, Kang Fu, Zhongbin Su   +4 more
doaj   +1 more source

Learning Multi-Scale Features and Batch-Normalized Global Features for Person Re-Identification

IEEE Access, 2020
In recent years, person re-identification based on deep learning approaches has made great progress and achieved good results. However, many of the latest network design methods, which usually deploy ResNet or SENet as the backbone network, were ...
Zongjing Cao, Hyo Jong Lee
doaj   +1 more source

Tensor analysis and multi-scale features based multi-view human action recognition

, 2010
—A method of multi-view human action recognition based on multi-scale features via tensor analysis is proposed. A series of silhouettes are transformed to a Serials-Frame image, from which the multi-scale features are extracted to construct the ...
Libiao Zhang, Xiangli Xu, null Sujing Wang, Chengcheng Jia, null Xiangli Xu, Chunguang Zhou, null Chengcheng Jia, Sujing Wang, null Chunguang Zhou, null Libiao Zhang   +9 more
core   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Unveiling Multi‐Scale Architectural Features in Single‐Cell Hi‐C Data Using scCAFE

Advanced Science
Single‐cell Hi‐C (scHi‐C) has provided unprecedented insights into the heterogeneity of 3D genome organization. However, its sparse and noisy nature poses challenges for computational analyses, such as chromatin architectural feature identification. Here,
Fuzhou Wang, Jiecong Lin, Hamid Alinejad‐Rokny, Wenjing Ma, Lingkuan Meng, Lei Huang, Jixiang Yu, Nanjun Chen, Yuchen Wang, Zhongyu Yao, Weidun Xie, Ka‐Chun Wong, Xiangtao Li   +12 more
doaj   +1 more source