Zobrazeno 1 - 10
of 364
pro vyhledávání: '"P. Márai"'
Publikováno v:
Giornale di Clinica Nefrologia e Dialisi, Vol 7, Iss 4 (1995)
Abstract non disponibile
Externí odkaz:
https://doaj.org/article/afe4a94d99dd4b6e9079635459d6d62c
Publikováno v:
Giornale di Clinica Nefrologia e Dialisi, Vol 5, Iss 3 (1993)
Abstract non disponibile
Externí odkaz:
https://doaj.org/article/e31eb0c414d742d4ba213a383a29420b
Publikováno v:
Results in Engineering, Vol 18, Iss , Pp 101042- (2023)
Fixed beam-to-column joints in steel portal frames with bolted connections typically present stiffeners to ensure proper load bearing resistance and stiffness to the joint. Executing the same stiffeners with a reduced height (e.g. partial height web
Externí odkaz:
https://doaj.org/article/de3b6d6d61dd478d87436677c4155fe8
Autor:
Wentzel, Andrew, Attia, Serageldin, Zhang, Xinhua, Canahuate, Guadalupe, Fuller, Clifton David, Marai, G. Elisabeta
Digital twin models are of high interest to Head and Neck Cancer (HNC) oncologists, who have to navigate a series of complex treatment decisions that weigh the efficacy of tumor control against toxicity and mortality risks. Evaluating individual risk
Externí odkaz:
http://arxiv.org/abs/2407.13107
Autor:
Wentzel, Andrew, Levine, Lauren, Dhariwal, Vipul, Fatemi, Zarah, Bhattacharya, Abarai, Di Eugenio, Barbara, Rojecki, Andrew, Zheleva, Elena, Marai, G. Elisabeta
We present a visual computing framework for analyzing moral rhetoric on social media around controversial topics. Using Moral Foundation Theory, we propose a methodology for deconstructing and visualizing the \textit{when}, \textit{where}, and \texti
Externí odkaz:
http://arxiv.org/abs/2403.14696
Autor:
Wentzel, Andrew, Levine, Lauren, Dhariwal, Vipul, Fatemi, Zahra, Di Eugenio, Barbara, Rojecki, Andrew, Zheleva, Elena, Marai, G. Elisabeta
We describe the design process and the challenges we met during a rapid multi-disciplinary pandemic project related to stay-at-home orders and social media moral frames. Unlike our typical design experience, we had to handle a steeper learning curve,
Externí odkaz:
http://arxiv.org/abs/2308.13552
In the biomedical domain, taxonomies organize the acquisition modalities of scientific images in hierarchical structures. Such taxonomies leverage large sets of correct image labels and provide essential information about the importance of a scientif
Externí odkaz:
http://arxiv.org/abs/2308.08003
Autor:
Floricel, Carla, Wentzel, Andrew, Mohamed, Abdallah, Fuller, C. David, Canahuate, Guadalupe, Marai, G. Elisabeta
Personalized head and neck cancer therapeutics have greatly improved survival rates for patients, but are often leading to understudied long-lasting symptoms which affect quality of life. Sequential rule mining (SRM) is a promising unsupervised machi
Externí odkaz:
http://arxiv.org/abs/2308.07895
Autor:
Wentzel, Andrew, Floricel, Carla, Canahuate, Guadalupe, Naser, Mohamed A., Mohamed, Abdallah S., Fuller, Clifton David, van Dijk, Lisanne, Marai, G. Elisabeta
Developing applicable clinical machine learning models is a difficult task when the data includes spatial information, for example, radiation dose distributions across adjacent organs at risk. We describe the co-design of a modeling system, DASS, to
Externí odkaz:
http://arxiv.org/abs/2304.04870
Autor:
Fatemi, Zahra, Bhattacharya, Abari, Wentzel, Andrew, Dhariwal, Vipul, Levine, Lauren, Rojecki, Andrew, Marai, G. Elisabeta, Di Eugenio, Barbara, Zheleva, Elena
With the onset of the COVID-19 pandemic, a number of public policy measures have been developed to curb the spread of the virus. However, little is known about the attitudes towards stay-at-home orders expressed on social media despite the fact that
Externí odkaz:
http://arxiv.org/abs/2209.05729