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- All Subjects: Infectious Diseases
- All Subjects: MATLAB
- All Subjects: Nucleoprotein
- Creators: Meyer, Laura Grace
- Creators: Woodbury, Neal
The field of biomedical research relies on the knowledge of binding interactions between various proteins of interest to create novel molecular targets for therapeutic purposes. While many of these interactions remain a mystery, knowledge of these properties and interactions could have significant medical applications in terms of understanding cell signaling and immunological defenses. Furthermore, there is evidence that machine learning and peptide microarrays can be used to make reliable predictions of where proteins could interact with each other without the definitive knowledge of the interactions. In this case, a neural network was used to predict the unknown binding interactions of TNFR2 onto LT-ɑ and TRAF2, and PD-L1 onto CD80, based off of the binding data from a sampling of protein-peptide interactions on a microarray. The accuracy and reliability of these predictions would rely on future research to confirm the interactions of these proteins, but the knowledge from these methods and predictions could have a future impact with regards to rational and structure-based drug design.
Being prepared to respond to difficult situations that arise in public health practice is an essential skill for the public health workforce.This empathic responding guide was designed to train students, volunteers, and staff of the ASU COVID-19 Case Investigation Team. The guide provides an overview of empathic communication, walks through a framework for responding with empathy, and outlines common difficult situations that arise in public health along with ways to respond with empathy to these situations. This guide can be adapted to a wide variety of settings and is meant to be used as a training tool for public health case investigators and other staff. This guide, available in a full and an abridged version, can be paired with hands-on workshops to provide engaging continuing education opportunities for public health teams.
This communication guide outlines examples of specific situations that are difficult to respond to, and pairs them with examples of how to respond with empathy. This guide depicts these difficult case statements as rows with bold, italic text. Beneath each scenario is an example of an empathic response (underlined) that can lead to a factual response or survey prompt (Figure 1). The responses use empathic communication to show the case that you are witnessing the emotion, rather than moving to the survey without acknowledging emotion. There is no one right answer to any difficult case statement.
Being prepared to respond to difficult situations that arise in public health practice is an essential skill for the public health workforce.This empathic responding guide was designed to train students, volunteers, and staff of the ASU COVID-19 Case Investigation Team. The guide provides an overview of empathic communication, walks through a framework for responding with empathy, and outlines common difficult situations that arise in public health along with ways to respond with empathy to these situations. This guide can be adapted to a wide variety of settings and is meant to be used as a training tool for public health case investigators and other staff. This guide can be paired with hands-on workshops to provide engaging continuing education opportunities for public health teams.