Results 31 to 40 of about 18,320,280 (211)

Brain Activation Differences of Six Basic Emotions Between 2D Screen and Virtual Reality Modalities

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
To our knowledge, it has been widely studied in Screen-2D modality for the six basic emotions proposed by Professor Paul Ekman, but there are only studies on their positive and negative valence in VR-3D modality.
Jialan Xie, Ping Lan, Shiyuan Wang, Yutong Luo, Guangyuan Liu   +4 more
doaj   +1 more source

Evidence‐Informed Multidisciplinary Consensus Guidance for the Psychosocial Care of Adolescents With High‐Risk Cancer: Recommendations From the Italian Association of Pediatric Hematology and Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adolescents with high‐risk cancer face complex developmental, psychosocial, and ethical challenges that extend beyond disease‐directed treatment. Although international recommendations exist for communication, psychosocial care, pediatric palliative care, survivorship, and shared decision‐making, these have largely evolved within ...
Johanna M. C. Blom, Dorella Scarponi, Giulia Zucchetti, Teresa Perillo, Maria Montanaro, Elisa Marconi, Chiara Rutigliano, Paolo Colavero, Paola Quarello, Marina Bertolotti, Monica Cellini, Carlo Clerici, Maurizio Mascarin, Francesca Bomben, Andrea Ferrari, the expert workgroup   +15 more
wiley   +1 more source

Parallel multi-stage rectification networks for 3D skeleton-based motion prediction

Scientific Reports
It is noted that Recurrent Neural Networks (RNNs), which are widely used in human prediction tasks, have achieved promising performance in motion prediction, owing to RNNs’ robust capacity for spatial-temporal sequence modeling.
Jianqi Zhong, Conghui Ye, Wenming Cao, Hao Wang   +3 more
doaj   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine, Hallie Coltin, Sylvia Cheng, Lucie Lafay‐Cousin, Vanan Issai Magimairajan, Craig Erker, Stéphanie Vairy, Lynette Bowes, Adam Fleming, Donna Johnston, Sarah McKillop, Roona Sinha, Julie Bennett, Christina Coleman, Laura Wheaton, Shayna Zelcer, Samuele Renzi, Thai Hoa Tran   +17 more
wiley   +1 more source

Importance weighted variational graph autoencoder

Complex & Intelligent Systems
Variational Graph Autoencoder (VGAE) is a widely explored model for learning the distribution of graph data. Currently, the approximate posterior distribution in VGAE-based methods is overly restrictive, leading to a significant gap between the ...
Yuhao Tao, Lin Guo, Shuchang Zhao, Shiqing Zhang   +3 more
doaj   +1 more source

Data Naming Mechanism of LEO Satellite Mega-Constellations for the Internet of Things

Applied Sciences, 2022
The low earth orbit (LEO) mega constellation for the internet of thing (IoT) has become one of the hot spots for B5G and 6G concerns. Information-centric networking (ICN) provides a new approach to the interconnection of everything in the LEO mega ...
Mingfei Xia, Shengbo Hu, Hongqiu Luo, Tingting Yan, Yanfeng Shi   +4 more
doaj   +1 more source

Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids

Pediatric Blood &Cancer, EarlyView.
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz, Se Whee Sammy Park, Aironas Los, Ernest Liu, Nona Struyf, Tom Erkers, Sören Lehmann, Jan J. Molenaar, Jakob Stenman, Olli Kallioniemi, Päivi Östling, Brinton Seashore‐Ludlow, Kasper Karlsson   +12 more
wiley   +1 more source

A BLSTM and WaveNet-Based Voice Conversion Method With Waveform Collapse Suppression by Post-Processing

IEEE Access, 2019
In recent years, neural network-based voice conversion methods have been rapidly developed, and many different models and neural networks have been applied in parallel voice conversion.
Xiaokong Miao, Xiongwei Zhang, Meng Sun, Changyan Zheng, Tieyong Cao   +4 more
doaj   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani, Rachel K. Peterson, Avani D. Rao, Laurie J. McKenzie, Ahmed Magdy Elmotayam, Leslie Chang, Michael Roth, Susan L. McGovern   +7 more
wiley   +1 more source

SBSNet: Spatial–Spectral Background–Target Separation Network for Hyperspectral Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral target detection (HTD) aims to identify target locations in a hyperspectral image (HSI) using limited prior target spectra. Existing methods often use contrastive learning to construct target and background sample sets from unlabeled HSI ...
Jianlin Xiang, Yanshan Li, Linhui Dai, Ruo Qi, Haojin Tang, Li Zhang, Kunhua Zhang, Weixin Xie   +7 more
doaj   +1 more source