COVID, Disablement, and the "Return to Normal"

2021 ◽  
pp. 29-35
Author(s):  
Keith Rosenthal ◽  
Ari Parra
Keyword(s):  
Disabled People ◽  
Abnormal State ◽  
Previous State

For many disabled people, the "abnormal" state of things over the last year and a half is not such an estranged discontinuity from the previous state of things. Certainly, just like everyone, pandemic life for disabled people has been exceedingly difficult, painful, oppressive, and deadly. But the "normal" of pre-pandemic life was also exceedingly difficult, painful, oppressive, and deadly.

How can we increase helping behavior to disabled people?

2011 ◽  
Author(s):  
Sangyeon Yoon ◽  
Seungah Ryu ◽  
Shinhwa Suh ◽  
Yonghun Kim
Keyword(s):  
Helping Behavior ◽  
Disabled People

Multi-Resolution Autoregressive Graph-to-Graph Translation for Molecules

2019 ◽  
Author(s):  
Wengong Jin ◽  
Regina Barzilay ◽  
Tommi S Jaakkola
Keyword(s):  
Drug Discovery ◽  
State Of The Art ◽  
Molecular Graph ◽  
Biochemical Properties ◽  
Large Margin ◽  
Previous State ◽  
Translation Methods ◽  
Atom Level ◽  
Precursor Molecules ◽  
Prior State

The problem of accelerating drug discovery relies heavily on automatic tools to optimize precursor molecules to afford them with better biochemical properties. Our work in this paper substantially extends prior state-of-the-art on graph-to-graph translation methods for molecular optimization. In particular, we realize coherent multi-resolution representations by interweaving trees over substructures with the atom-level encoding of the original molecular graph. Moreover, our graph decoder is fully autoregressive, and interleaves each step of adding a new substructure with the process of resolving its connectivity to the emerging molecule. We evaluate our model on multiple molecular optimization tasks and show that our model outperforms previous state-of-the-art baselines by a large margin.

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