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Head pose classification is an important part of the preprocessing process of face recognition, which can independently solve application problems related to multi-angle. But, due to the impact of the COVID-19 coronavirus pandemic, more and more people wear masks to protect themselves, which covering most areas of the face. This greatly affects the performance of head pose classification. Therefore, this article proposes a method to classify the head pose with wearing a mask. This method focuses on the information that is helpful for head pose classification. First, the H-channel image of the HSV color space is extracted through the conversion of the color space. Then use the line portrait to extract the contour lines of the face, and train the convolutional neural networks to extract features in combination with the grayscale image. Finally, stacked generalization technology is used to fuse the output of the three classifiers to obtain the final classification result. 2-Deoxy-D-glucose The results on the MAFA dataset show that compared with the current advanced algorithm, the accuracy of our method is 94.14% on the front, 86.58% on the more side, and 90.93% on the side, which has better performance.The outbreak of the SARS CoV2 virus, commonly referred to as the COVID-19 pandemic, has impacted the social, economic, political, and cultural lives of citizens around the world. The sudden outbreak of the pandemic has exposed the legal preparedness, or lack thereof, of governments to reduce and contain its drastic impact. Strong legislative measures play a crucial role in any epidemic or pandemic situation. In this situation, the Indian Government has requested all state governments to invoke the Epidemic Disease Act (EDA) of 1897 to address the COVID-19 emergency. The Central Government has also used the powers provided in the Disaster Management Act (DMA) of 2005. As the country is facing its first major health emergency since independence, the existing legislative measures to deal with a COVID-19 like situation are lacking and require certain amendments to address such situations in the future. This paper aims to present the current constitutional and legislative response to health emergencies in India and attempts to identify gray areas in the statutory provisions. Based on the analysis, this paper suggests several recommendations for amending current legislation and suggests the promulgation of comprehensive public health law. This paper is largely based on primary sources such as the EDA and the DMA, regulations, guidelines, rules issued by the public authorities and court cases related to health and health emergencies along with secondary resources such as newspaper articles and published papers.To contain the spread of the Covid-19 pandemic, the mandated social distancing and restricted market activities have adversely affected the employment and earnings of the poor who are considered the targeted beneficiaries of the Microfinance Institutions (MFIs). The MFI operation and more specifically fresh lending are under serious threat as the mode of operations primarily involve physical interaction while distributing credits at the clients’ doorsteps, conducting periodic group meetings and carrying out regular collections. This short article attempts to analyze the various challenges that MFIs may encounter in their current and future operations due to the ongoing pandemic. It discusses how the government initiated coping mechanisms may help MFIs overcome or minimize the pandemic challenges. At the same time, MFIs’ efforts towards continued services are expected to create a win-win situation.Since 2019, countries in the world have been facing many economic, political, social, and health shocks and challenges that are not easily faced with the COVID-19 pandemic, including Singapore. Under these conditions, the performance of the governance system in dealing with a pandemic is tested transparently in public. However, the implementation of good governance by the Singapore government itself is carried out by steps and decisions that will be taken and implemented through the digital bureaucracy to the community in order to suppress the positive number of COVID-19. The application of good governance also needs support other crucial elements that improved by digital bureaucracy, which are transparency, accountability, efficiency and effective.While plastics play an important role in the safety, shelf-life, and affordability of many foods, their mismanagement as waste presents a serious environmental problem. In 2019, governments in Canada and globally were poised to take legislative action to curb the use of single-use plastics, with strong public support. However, the COVID-19 pandemic has since disrupted those initiatives as well as the public sentiment underlying them. The aim of our study is to measure changes in Canadian consumers’ attitudes toward single-use plastic food packaging, from Summer 2019 to Summer 2020. The methodology relies on two, representative surveys of the Canadian population, carried out in May 2019 (n = 1,094) and in June 2020 (n = 977). Our measures explored potential impacts on consumer perceptions, driven both by new food safety concerns during the pandemic and also by increased price consciousness during a time of economic recession. We found that 55% of respondents were more concerned about food safety since COVID-19, and that 50% of respondents had become more price conscious when buying groceries. However, we found only a slight decline in motivation to reduce plastics – though with a sharper reduction among males. A stronger shift was seen in attitudes towards policy, where our results show a clear decline in support for tighter regulations or bans on single-use plastics, along with an increase in consumers’ willingness to pay for biodegradable alternatives. These findings suggest a more difficult road ahead for legislative approaches, but also potential opportunities for market-based strategies and innovations in the food sector.The main objective of this study is to assess the prevalence of sleep disturbance and related psychological factors (stress, anxiety and depression) among frontline nurses in Oman during the COVID-19 pandemic. A cross-sectional and descriptive correlational design using Qualtrics® software was used in this research. Data were collected using the Pittsburgh Sleep Quality Index (PSQI), the Hospital Anxiety and Depression Scale (HADS) and the Perceived Stress Scale (PSS). Logistic regression was performed to identify factors associated with poor sleep quality. Of the 987 frontline nurses who participated, 58.8% (n = 580) reported poor sleep quality. In an examination of PSQI components the mean sleep duration was 7.04 (SD = 1.59) hours per night, and the sleep latency mean was 38.18 min (SD = 31.81). Poor sleep (p  less then  .05) was significantly associated with age, marital status, years of experience, comorbidity, and whether family members or relatives were suspected or confirmed with having COVID-19. Logistic regression showed that poor quality of sleep was significantly associated with stress, anxiety and depression symptoms.