RESUMEN
Research on online faculty professional development (OFPD) in higher education has increased in recent years. As there is, nevertheless, a scarcity of quantitative investigations on research publications in this area, a bibliometric analysis of 248 publications collected from the Scopus database was conducted. Biblioshiny and VOSviewer software tools were used for descriptive and network analyses. The research results showed that the overall trend of publication in this domain increased steadily at an annual growth rate of 14.11% during the past 25 years. Journal of Asynchronous Learning Network and Computers and Education ranked the highest among journals with regard to publication number and citation number, respectively. With a total of 298 citations to his paper, Peter Shea was ranked the most impactful author while Maria Northcote, with five publications, was the most productive. In terms of geographical location of research activity, America played the leading role, with Asia emerging in this field. The publication entitled "A Research Agenda for Online Teacher Professional Development" by Dede et al. topped the list for both total citations and average yearly citations. As to recent trends, teacher professional development through online teaching was emergent partly due to the outbreak of Covid-19. Pedagogy training, online community building, and facilitating online teachers were the themes that researchers favored. The study will contribute toward better understanding of the existing literary landscape of research on OFPD given the potential of OFPD in enhancing faculty's effectiveness in their classrooms and over the course of their teaching careers.
RESUMEN
BACKGROUND: Coronavirus disease 2019 (COVID-19) has caused a global pandemic that has raised worldwide concern. This study aims to investigate the correlation between the extent of lung infection and relevant clinical laboratory testing indicators in COVID-19 and to analyse its underlying mechanism. METHODS: Chest high-resolution computer tomography (CT) images and laboratory examination data of 31 patients with COVID-19 were extracted, and the lesion areas in CT images were quantitatively segmented and calculated using a deep learning (DL) system. A cross-sectional study method was carried out to explore the differences among the proportions of lung lobe infection and to correlate the percentage of infection (POI) of the whole lung in all patients with clinical laboratory examination values. RESULTS: No significant difference in the proportion of infection was noted among various lung lobes (P > 0.05). The POI of total lung was negatively correlated with the peripheral blood lymphocyte percentage (L%) (r = - 0.633, P < 0.001) and lymphocyte (LY) count (r = - 0.555, P = 0.001) but positively correlated with the neutrophil percentage (N%) (r = 0.565, P = 0.001). Otherwise, the POI was not significantly correlated with the peripheral blood white blood cell (WBC) count, monocyte percentage (M%) or haemoglobin (HGB) content. In some patients, as the infection progressed, the L% and LY count decreased progressively accompanied by a continuous increase in the N%. CONCLUSIONS: Lung lesions in COVID-19 patients are significantly correlated with the peripheral blood lymphocyte and neutrophil levels, both of which could serve as prognostic indicators that provide warning implications, and contribute to clinical interventions in patients.