Results 41 to 50 of about 3,121,297 (329)

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Multi-Context Attention for Human Pose Estimation

, 2017
In this paper, we propose to incorporate convolutional neural networks with a multi-context attention mechanism into an end-to-end framework for human pose estimation.
Chu, Xiao, Ma, Cheng, Ouyang, Wanli, Wang, Xiaogang, Yang, Wei, Yuille, Alan L.   +5 more
core   +1 more source

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source

Double Attention: An Optimization Method for the Self-Attention Mechanism Based on Human Attention

Biomimetics
Artificial intelligence, with its remarkable adaptability, has gradually integrated into daily life. The emergence of the self-attention mechanism has propelled the Transformer architecture into diverse fields, including a role as an efficient and ...
Zeyu Zhang, Bin Li, Chenyang Yan, Kengo Furuichi, Yuki Todo   +4 more
doaj   +1 more source

Scale Pyramid Attention for Single Shot MultiBox Detector

IEEE Access, 2019
Feature pyramid mechanism has improved the performance of object detectors by a large margin, especially for the objects with small scale. As one of the first attempts to use pyramidal feature hierarchy, Single Shot MultiBox Detector (SSD) has largely ...
Jie Hao, Feng Jiang, Rufei Zhang, Xipeng Lin, Biao Leng, Guanglu Song   +5 more
doaj   +1 more source

Swarmic Sketches and Attention Mechanism [PDF]

, 2013
This paper introduces a novel approach deploying the mechanism of ‘attention’ by adapting a swarm intelligence algorithm – Stochastic Diffusion Search – to selectively attend to detailed areas of a digital canvas. Once the attention of the swarm is drawn to a certain line within the canvas, the capability of another swarm intelligence algorithm ...
Al-Rifaie, Mohammad Majid, Bishop, Mohammad   +1 more
openaire   +2 more sources

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

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, Anna‐Lena Herbach, Christian Bock, Katharina Fleig, Urs Mücke   +4 more
wiley   +1 more source

Macaron Attention: The Local Squeezing Global Attention Mechanism in Tracking Tasks

Remote Sensing
The Unmanned Aerial Vehicle (UAV) tracking tasks find extensive utility across various applications. However, current Transformer-based trackers are generally tailored for diverse scenarios and lack specific designs for UAV applications. Moreover, due to
Zhixing Wang, Hui Luo, Dongxu Liu, Meihui Li, Yunfeng Liu, Qiliang Bao, Jianlin Zhang   +6 more
doaj   +1 more source

Uncertainty-Aware Attention for Reliable Interpretation and Prediction [PDF]

, 2019
Department of Computer Science and EngineeringAttention mechanism is effective in both focusing the deep learning models on relevant features and interpreting them.
Huh, Jawook
core  

Forward Attention in Sequence-to-sequence Acoustic Modelling for Speech Synthesis

, 2018
This paper proposes a forward attention method for the sequenceto- sequence acoustic modeling of speech synthesis. This method is motivated by the nature of the monotonic alignment from phone sequences to acoustic sequences. Only the alignment paths that
Dai, Li-Rong, Ling, Zhen-Hua, Zhang, Jing-Xuan   +2 more
core   +1 more source