In this study, we developed a photodetector and humidity sensor based on zinc oxide nanowires (ZnO NWs) with CsPbBr3 perovskite quantum dots (PQDs). PQDs are ideally suited to semiconductor sensors due to their excellent optoelectronic properties, including the high carrier mobility, high absorption coefficient, and effective charge transfer at heterojunctions. The ZnO NWs were created via chemical bath deposition, and PQDs were created via a one-step injection method. I–V curves revealed that the current leakage of PQD/ZnO NWs was lower than that of ZnO NWs. PQD/ZnO NWs also generated a larger number of photogenerated carriers, which improved sensor responses, regardless of the illumination wavelength. Under UV illumination, the photocurrent of both structures decreased with an increase in relative humidity; however, under green light illumination, the photocurrent of PQD/ZnO NWs increased with humidity. This study also investigated the optical properties of the two structures as candidate sensor mechanisms.
Advanced cancer patients who are not expected to survive past the short term can benefit from early initiation of palliative care in the emergency department (ED). This discussion, however, requires accurate prognostication of their short-term survival. We previously found in our retrospective study that shock index (SI) is an ideal risk stratification tool in predicting the 60-day mortality risk of advanced cancer patients presenting to the ED. This study is a follow-up prospective validation study conducted from January 2019 to April 2021. A total of 410 advanced cancer patients who presented to the ED of a medical centre and could be followed-up feasibly were recruited. Univariate and multivariable logistic regression analyses were performed with receiver operator calibrating (ROC) curve analysis. Non-survivors had significantly lower body temperatures, higher pulse rates, higher respiratory rates, lower blood pressures, and higher SI. Each 0.1 increment of SI increased the odds of 60-day mortality by 1.591. Area under ROC curve was 0.7819. At optimal cut-off of 0.94, SI had 66.10% accuracy. These results were similar to our previous study, thus validating the use of SI in predicting the 60-day mortality of advanced cancer patients presenting to the ED. Identified patients may be offered palliative care.
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