Background: Poor communication between physicians and nurses is one of the most common causes of adverse events for hospitalized patients, including death. Gathering information regarding the factors that contribute to shared understanding could help identify causes of communication breakdowns, making it easier to develop strategies to overcome them.
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Background
Communication between physicians and nurses is a critical component to the well-being and health of their patients. However, poor communication is still one of the main challenges that affects patient safety, at the cost of the patient’s health. Poor communication can lead to a lack of understanding of the patient’s needs, which can cause adverse effects that could have been avoided with good communication. Previous studies have shown that communication needs to be improved, but have not successfully improved communication. Thus, further action is needed so that physicians and nurses communicate in order to come to a shared understanding.
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Although the zebrafish and mammalian retina share structure and function, only zebrafish can regenerate a damaged retina. Key to this regenerative response are Muller glia (MG) that undergo a reprogramming event allowing them to divide and produce multipotent progenitors for retinal repair. Previous studies suggested that thousands of genes are associated with MG reprogramming and retina regeneration. Key among these are Ascl1a (a proneural transcription factor) and Lin28a (an RNA binding protein). Combinatorial induction of these two factors in a damaged retina causes an expansion in the zone of injury-responsive MG; thus, allowing normally quiescent MG near the injury site to engage in a regenerative response. In this project, we aim to understand the mechanism by which Ascl1a and Lin28a stimulate MG reprogramming. We anticipate that these studies will suggest novel strategies for stimulating retina regeneration in mammals.
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In determining engineering stress, a shape’s cross section is estimated and then the stress is calculated from there. For engineering materials, a general idea of the stress a part undergoes is usually all that is needed. However, when calculating stress on biological tissues, such as mouse tendons, it is more difficult due to the irregular shape, size, and precision needed. My research has been to develop a photogrammetry set up that automatically acquires pictures from multiple angles and in conjunction with a secondary software, calculates the cross sectional area of mouse tendon (or other object) in order to improve the accuracy of data for research.
