20 research outputs found

    Low noise, IR-blind organohalide perovskite photodiodes for visible light detection and imaging

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    Solution-processed organohalide perovskite photodiodes that have performance metrics matching silicon, but are infrared-blind are reported. The perovskite photodiodes operate in the visible band, have low dark current and noise, high specific detectivity, large linear dynamic range, and fast temporal response. Their properties make them promising candidates for imaging applications

    Additional file 1 of Identifying associations between health services operational factors and health experience for patients with type 2 diabetes in Iran

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    Additional file 1 Predictor variables, beta coefficient, confidence interval of coefficients, and p-value for statistical analyses of health outcomes

    Additional file 1 of Trends in dental caries of deciduous teeth in Iran: a systematic analysis of the national and sub-national data from 1990 to 2017

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    Additional file 1. Appendix 1. Search strategy in each database. Appendix 2. Data extraction sheet’s content. Appendix 3. The used quality assessment tool based on the “STrengthening the Reporting of OBservational studies in Epidemiology” (STROBE). Appendix 4. Age-standardised deciduous teeth dmft and its components in subnational scale by sex. Appendix 5. Checklist of information that should be included in new reports of global health estimate

    Detecting the Seasonal and Spatial Patterns of COVID-19 Hospitalization and Deaths in Iran: Insights from a Spatiotemporal and Hotspot Analysis

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    Background: Understanding the seasonal and spatial patterns of COVID-19 hospitalization and deaths is crucial for effective hospital management, resource allocation, and public health interventions. The current study conducts a spatiotemporal hotspot analysis that explores the seasonal and geographical patterns of high-risk areas of COVID-19 hospitalizations and deaths in Iran. Methods: Provincial-level data on laboratory-confirmed COVID-19 cases with acute respiratory symptoms in Iran (February 2019–March 30, 2022) were collected. Hotspot analyses mapped seasonal incidence risks, and Global Moran’s spatial autocorrelation analysis identified COVID-19 clusters. Results: Over the 2 years, 26 hotspots and 11 cold spots were identified (P < 0.05). Western and central provinces showed the highest hospitalization hotspots, while the west and north had the most death hotspots. South and southeast provinces exhibited low incidence and the highest number of cold spots. High-risk areas were prevalent in spring and autumn, mainly in the west, north, and central regions. Conclusions: This research unveils the clustering patterns of COVID-19 hospitalizations and fatalities in Iran during the most severe pandemic. Spatial clusters and dynamic hotspots varied across regions and time. Prioritizing high-risk areas during critical epidemic waves, devising seasonal care strategies, and implementing preventive measures can significantly improve health outcomes.</p
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