Zobrazeno 1 - 10
of 8 610
pro vyhledávání: '"Bethel A"'
Autor:
Eshetu Girma, Bethel Ayele, Petra C. Gronholm, Syed Shabab Wahid, Ariam Hailemariam, Graham Thornicroft, Charlotte Hanlon, Brandon Kohrt
Publikováno v:
Cambridge Prisms: Global Mental Health, Vol 11 (2024)
Abstract Background Stigma is significantly impacted by cultural and contextual value systems. People with mental health conditions frequently have to deal with the condition itself and the associated stigma and discrimination. Contextual understand
Externí odkaz:
https://doaj.org/article/3821cfec8a5a47178841611d5c6e3558
Autor:
Dristy Gurung, Brandon A. Kohrt, Syed Shabab Wahid, Kalpana Bhattarai, Binita Acharya, Feryel Askri, Bethel Ayele, Ioannis Bakolis, Anish Cherian, Mercian Daniel, Kamal Gautam, Eshetu Girma, Petra C. Gronholm, Charlotte Hanlon, Sudha Kallakuri, Bezawit Ketema, Heidi Lempp, Jie Li, Santosh Loganathan, Ning Ma, Jananee Magar, Pallab K. Maulik, Gurucharan Mendon, Amani Metsahel, Fethi Nacef, Mani Neupane, Uta Ouali, Yosra Zgueb, Wufang Zhang, Graham Thornicroft
Publikováno v:
SSM - Mental Health, Vol 4, Iss , Pp 100253- (2023)
Stigma among primary care providers (PCPs) is a barrier to successful integration of mental health services in primary healthcare settings globally. Therefore, cross-culturally adaptable and feasible strategies are needed to reduce stigma among PCPs.
Externí odkaz:
https://doaj.org/article/09d029731d2b446589c2b5f8a7dd43d4
Autor:
Bethel, E. Wes, Cramer, Vianna, del Rio, Alexander, Narins, Lothar, Pestano, Chris, Verma, Satvik, Arias, Erick, Bertelli, Nicola, Perciano, Talita, Shiraiwa, Syun'ichi, Villar, Álvaro Sánchez, Wallace, Greg, Wright, John C.
This work presents a detailed case study on using Generative AI (GenAI) to develop AI surrogates for simulation models in fusion energy research. The scope includes the methodology, implementation, and results of using GenAI to assist in model develo
Externí odkaz:
http://arxiv.org/abs/2409.06122
Reinforcement Learning (RL) is an effective method for robots to learn tasks. However, in typical RL, end-users have little to no control over how the robot does the task after the robot has been deployed. To address this, we introduce the idea of on
Externí odkaz:
http://arxiv.org/abs/2408.16776
It is crucial that users are empowered to take advantage of the functionality of a robot and use their understanding of that functionality to perform novel and creative tasks. Given a robot trained with Reinforcement Learning (RL), a user may wish to
Externí odkaz:
http://arxiv.org/abs/2406.13711
Autor:
Bethel A.C. Osuagwu, Sarah Timms, Ruth Peachment, Sarah Dowie, Helen Thrussell, Susan Cross, Rebecca Shirley, Antonio Segura-Fragoso, Julian Taylor
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 17, Iss 1, Pp 1-15 (2020)
Abstract Background Loss of hand function following high level spinal cord injury (SCI) is perceived as a high priority area for rehabilitation. Following discharge, it is often impractical for the specialist care centre to provide ongoing therapy fo
Externí odkaz:
https://doaj.org/article/da31a717e71b41f5b00cc1f39dac973e
The Fast Fourier Transform (FFT) is a numerical operation that transforms a function into a form comprised of its constituent frequencies and is an integral part of scientific computation and data analysis. The objective of our work is to enable use
Externí odkaz:
http://arxiv.org/abs/2402.01843
Tracking ripening tomatoes is time consuming and labor intensive. Artificial intelligence technologies combined with those of computer vision can help users optimize the process of monitoring the ripening status of plants. To this end, we have propos
Externí odkaz:
http://arxiv.org/abs/2401.15055
Autor:
Bethel, E. Wes, Amankwah, Mercy G., Balewski, Jan, Van Beeumen, Roel, Camps, Daan, Huang, Daniel, Perciano, Talita
The focus of this Visualization Viewpoints article is to provide some background on Quantum Computing (QC), to explore ideas related to how visualization helps in understanding QC, and examine how QC might be useful for visualization with the growth
Externí odkaz:
http://arxiv.org/abs/2310.04937
The proliferation of GPUs and accelerators in recent supercomputing systems, so called heterogeneous architectures, has led to increased complexity in execution environments and programming models as well as to deeper memory hierarchies on these syst
Externí odkaz:
http://arxiv.org/abs/2310.02926