The Trend of Physics Education Research during COVID-19 Pandemic

Currently, physics education is a science that is still considered by many students and the public. Thus, there is a need for information on the current trends in physics education to adapt to the current situation. Based on the Scopus, the research objective is to explore the ongoing trends in the last ten years and during the COVID-19 pandemic. This research is a bibliometric and bibliometric analysis. The findings show that research related to physics education is dominated by the most developed during the COVID-19 pandemic (2020 – 2021) countries Indonesia. Meanwhile, the Journal of Physics Conference Series is the journal that publishes the most publications (Scopus) related to physics education, followed by the AIP Conference Proceeding. Research implication to research, librarian, and policy maker (1) Research and development need to be carried out in-depth related to the growing trend of physics education so that it can be published in Scopus. (2) Cooperation and collaboration between other universities to increase publications at the international level. (3) The need for continuous research to follow current trends. © 2022 The Author(s)

Adaptable eye tracking technology of obscured face

Humans around the world are affected by special infectious pneumonia (COVID-19). There are more and more people wearing masks that are necessary for daily or workplace use. However, the sensitivity of face detection will be affected by feature obscuration, and most of them cannot be performed. Obscured face detection and gaze tracking. This paper proposes a face detection and landmark repair, and then realizes the tracking of the eye trajectory of the obscured face. Model database with obscured face image data can also include unobscured face image data. After calibrated eye area, machine learning [1] algorithm is used for model database training to achieve eye area detection and provide real-time position coordinates. The eye information of the partial simulation model is superimposed and calculated to complete the feature point restoration, feature point detection and definition. Finally, K-means [2] is used to classify the image around the eyes to distinguish the eyeball from the white of the eye and calculate the position of the eyeball center. The face wearing a mask will affect the sensitivity of face detection, and the person wearing a mask cannot be detected. We use a two-stage method to locate the eyeball center of the face wearing a mask. We use the machine learning algorithm to detect the bounding box near the eyes, and we use the obscured image to train our model. Then attach the chin pattern to the place that is expected to be covered. Use a general cross-platform machine learning library [3] to locate area near the eyeball. Then use an unsupervised learning clustering algorithm to classify the image near the eyeball to analyze the eyeball area and find the center of the eyeball, to achieve the purpose of eye tracking. © 2020 ITE and SID.

Vulnerable Company's Triumphs in M&A Negotiation under the Impact of COVID-19 - An Empirical Study of Asian Companies

The worldwide lockdown caused by COVID-19 has led to the complete suspension of shipping, land transportation, and aviation. As a result of the redistribution of global resources, governments have recently advocated acquisitions and mergers with strategic alliances and vertical integrations to revitalize the economy. This study aims to investigate how the mergers and acquisitions (M&A) were negotiated and how the equilibrium price was achieved with game theory and information economics in agricultural and fishery biotechnology industry. The findings in the present study propose that by adopting investment valuation (asset-based approach, revenue method, market method) and presenting three patents (globally unique nondrug-denatured pure male tilapia and GPS -25C cloud cold chain logistics), the more the vulnerable company is able to attain a triumphant price during the negotiation of M&A. © 2021 World Scientific Publishing Co.

Complement c3 a-chain as an indicator of disease severity in COVID-19

INTRODUCTION: As we combat the novel coronavirus SARS-CoV-2, elucidating its immunological pathogenesis is vital for both understanding and treating the disease. A few case studies have suggested that the complement system may play an important role in the course of infection, but its specific role is unclear. Our group has shown that higher circulating levels of the complement C3, particularly C3 α-chain, can be a significant predictor of survival in septic shock patients. We therefore sought to investigate if a similar relationship could be seen in SARS-CoV-2. METHODS: Thirty-six COVID-19 patients were consented for this study. Serial blood samples were collected at different time points from 22 patients not in the ICU and 14 in the ICU at the time of collection. The plasma samples were analyzed using Western Blot for circulating C3 α-chain levels. Clinical data on hematologic, respiratory, renal and coagulation status were collected. The data were analyzed for differences in ICU and Non-ICU patients and for correlations of C3 α-chain levels and clinical parameters. RESULTS: In ICU patients, in mean levels of C3 α-chain had a statistically significant increase from Days 0-5 since admission to Days 16-20 (p = 0.042). C3 α-chain levels were positively correlated with time since admission (R = 0.5401, p = 0.0115). In ICU patients, C3 α-chain levels were negatively correlated with Creatinine levels (R = -0.4515, p<0.05), Neutrophil Percentage (R = -0.5525, p<0.001) and Absolute Count (R = -0.6297, p<0.001) and positively correlated with Lymphocyte Percentage (R= 0.6748, p<0.001). In Non-ICU patients, C3 α-chain levels were negatively correlated with Neutrophil Percentage (R = -0.4929, p<0.05), BUN levels (R = -0.5055, p<0.001), and positively correlated with Lymphocyte Percentage (R = 0.45, p<0.05) and Absolute Count (R = 0.6134, p<0.001) and platelet levels (R = 0.4636, p<0.05). CONCLUSIONS: In summary, levels of circulating C3 α- chain increased with time in ICU patients. C3 α-chain levels negatively correlated with renal injury markers and systemic neutrophil levels. Moreover, C3 α-chain levels positively correlated with circulating lymphocyte levels. These results indicate that native C3 is important in fighting against COVID-19 infection and may be a critical prognostic marker of disease progression.