Social Distancing
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2022 ◽  
Vol 13 (1) ◽  
pp. 322-331
Wolfgang Mastnak

Depression is broadly considered a global epidemic. In China it ranks among the most prevalent mental disorders and is seriously affecting the younger generation (prevalence between 4% and 41%), hence the necessity to foster health education and sustainable resilience. Meta-synthetic construction resulted in a music-based model of educational therapy comprising five principles, beauty, activation, responsiveness, immersion and transformation, hence the name ‘BARIT-model’: (i) referring to anthropological, psychological and neuroscientific aesthetics, the approach benefits from the healing power of aesthetic experience, (ii) behavioural activation is widely regarded as an efficient approach to treat depression. Different from conventional cognitive behavioural therapy, the BARIT-model involves artistic activities such as music improvisation, sound scene improvisation, vocal experiments or creative variations of Chinese martial arts, (iii) responsiveness concerns the qualitative similarity of emotion and music, alongside the patients’ feeling of being ‘understood’ by what they are listening to, (iv) while depressive mood tends to occupy the whole person, music immersion can help to escape that ‘pathological cage’, (v) finally, traumatic roots of depression need therapeutic processing, such as artistic symbolisation, intermodal transformation and relabelling of traumata as potential source of creative performance. The BARIT-model is part of a comprehensive project to improve mental health in Chinese children and adolescents through arts-based methods for classroom education, which encompasses ‒ in addition to depression ‒ attention deficit hyperactivity disorders, oppositional defiant disorders, anxiety disorders, stress-related disorders and burnout syndromes, eating disorders such as anorexia nervosa or binge eating, as well as disorders related to the COVID-19 pandemic, e.g. developmental syndromes caused by lockdown and social distancing.

Eayan Francis

Abstract: COVID-19 is a pandemic disease that spread by itself coming in the contact of people. It was initially started from China and now it has been spread all over the world and many casualties have been occurred. Social distancing commonly known as physical distancing is a non-pharmaceutical approach through which it can be reduced. But social distancing only works when people started wearing mask because it can spread by sneezing even having distance among people. So wearing mask is mandatory to stop spreading this virus at its possible extent. In this paper, it has been intended to identify the people who are wearing mask or not. By the help of CCTV camera it can be recognized at the entrance of various public places such as mall, airport, railway station, mart and many more. If facial mask can be recognized effectively with high level of accuracy then it can become mandatory for people who are violating the rules. The proposed system uses Keras and Tensorflow model for identifying whether people are following the rule or not. Tensorflow is a deep learning methodology through which facial mask can be detected with all kind of situations. Proposed system is able to classify whether a person wear a mask or not, it is also able to identify whether people incorrectly wearing mask i.e. partial wearing. It is mandatory to identify whether people are properly using the mask or not. System identify this kind of situation and classified them accordingly. System uses hybrid technique by combining two algorithms i.e. keras and tensorflow. By combining both the systems it can be identified more precisely to identify the rule violations. Keywords: COVID-19, Facial Mask, Convolutional Neural Network, Classifiers, Machine Learning, Image Processing, Pattern Recognition.

2022 ◽  
Vol 10 (1) ◽  
pp. 023-030
Huda Sahib Abdul Mohammed Al-Rawazq

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV 2) or 2019 novel coronavirus (2019-nCoV) is quickly spreading to the rest of the world, from its origin in Wuhan, Hubei Province, China. And becoming a global pandemic that affects the world's most powerful countries. The goal of this review is to assist scientists, researchers, and others in responding to the current Coronavirus disease (covid-19) is a worldwide public health contingency state. This review discusses current evidence based on recently published studies which is related to the origin of the virus, epidemiology, transmission, diagnosis, treatment, and all studies in Iraq for the effect of covid-19 diseases, as well as provide a reference for future researchers. The findings of this review show significant differences across gender, age group, area of residence, environmental agents (temperature, humidity), and people with chronic diseases (hypertension, diabetes mellitus, heart disease, respiratory disorders, and immunocompromised disease). To control the pandemic, information about COVID-19 was disseminated to people, including wearing a face mask and using a social distancing strategy as an effective tool for controlling COVID-19. More education and progress are required to convince the public that the vaccine is both effective and safe.

2022 ◽  
Vol 4 (4) ◽  
pp. 118-120
Manju George Pynadath

Current Covid -19 pandemic has disrupted life in every corner of the world and will likely affect those children with preexisting disabilities. About 40% of differently-abled students are planning to drop out of schools because of difficulties they are facing in online education. The social distancing measures implemented by many countries have caused social isolation among children and had resulted in increased anxiety; stress and relapse of preexisting issues. This study aimed a) To Review the impact of the Covid-19 pandemic on differently-abled children and their parents b) Discuss alternative measures for delivering health services for differently-abled children A literature review through online sources of the database. Studies published from January 2020 up to October 2021 where included The review revealed that lack of socialization due to social distancing creates anxiety, stress, and depression among children and their parents. As schools have been suspended children with disabilities were not able to practice their learned skills which they attained through special education. Tele-medicine and Tele-rehabilitation activities may help to lower the prevalence of mental health issues among children and their parents Everyday life of individuals across the globe has been severely affected due to the covid 19 pandemic. Amidst this, it becomes important to keep children with physical and mental disabilities not only physically safe but also looks after their psychological and emotional well-being.

نهى عبد الكريم حسين ◽  
نور أحمد سبانو

The need to diversify educational cloud activities arose due to social distancing, the widening of individual differences between learners, and the need to employ the possibilities offered by cloud education to achieve language goals. This research identifies the perceptions of non-native Arabic language learners towards the cloud-based educational activities based on the entrance of multiple intelligences. The descriptive approach was used, and a questionnaire was designed, consisting of: (Linguistic, Musical, visual- Spatial, Interpersonal, and Interpersonal). The sample consisted of (33) male and female students. The results showed that learners' perceptions are highly positive on all areas of activities. The highest percentage was interpersonal intelligence activities. Also, there are no statistically significant differences due to the sex. The originality of the research presents a vision of the entrance of multiple intelligences; To benefit from its educational applications in teaching Arabic online to non-native speakers, and to keep pace with global trends in the adoption of cloud education and its activities. It is also expected that the results of this research will benefit the following groups: institutions concerned with teaching foreign languages, experts who prepare curricula for teaching Arabic, and teachers of Arabic for non-native speakers.

2022 ◽  
Megan Ames ◽  
Christina Lauren Robillard ◽  
Brianna Turner ◽  
Mauricio Garcia-Barrera ◽  
Jonathan Rush ◽  

Although physical activity declined with social distancing measures and stay-at-home orders during the COVID-19 pandemic, youth who engaged in more physical activity experienced fewer mental health problems. If and how physical activity maintained its protective role throughout the ongoing pandemic remains unclear. This study models associations between three types of physical activity (indoor, outdoor, with parents), affect regulation, and anxious and depressive symptoms in two adolescent samples (W1: Summer 2020; W2: Winter 2020/21).

2022 ◽  
Biswaranjan Paital

Although vaccines are successfully developed against Severe Acute Respiratory Syndrome Coronavirus-19 (COVID-19), and many anticancer, anti-malarial, antibiotic drugs have been repurposed against the disease, it has been just impossible to save valuable human lives in specific conditions. Therefore, medical care has been developed against COVID-19 but not fully able to save human life from the disease. As a result, the third wave is noticed in many countries. Preventive methods such as social distancing, wearing masks, and hand salinization have been accepted as the main strategies to break the chain of the disease. Due to the reduction in pollution under less or no industrial and vehicular operations, water and air ecosystems have been restored in an unseen manner. Especially, NO<sub>2</sub>, SO<sub>2</sub> and particulate matters etc. modulated higher expression of angiotensin-converting enzyme 2, the receptor of Severe Acute Respiratory Syndrome Coronavirus -2 in humans have also been emphatically documented. Therefore, along with medical care, environmental protection (especially to regulate NO<sub>2</sub> emissions) along with practicing COVID-19 guidelines is to be maintained fully to combat COVID-19 the disease. Human beings must use this knowledge and experience as a spotlight to save nature in current and future times.

2022 ◽  
Vol 3 (1) ◽  
pp. 86-104
Fernanda Cristina Barbosa Pereira Queiroz ◽  
Christian Luis Da Silva ◽  
Eduardo Lopes Marques ◽  

Devido à pandemia da Covid-19 surgiu a necessidade de distanciamento social a fim de evitar o contágio e, como consequência, o ensino remoto (ER) foi adotado como um regime excepcional por quase todas as Instituições de Educação Superior (IES), no mundo, em 2020. O principal objetivo desta pesquisa é identificar os fatores mais importantes, na percepção dos estudantes, que afetaram a satisfação deles com o ER. Este estudo utilizou uma abordagem quantitativa, por um método de amostragem não probabilístico, por meio da análise de 311 questionários respondidos online. O software R foi utilizado para a análise descritiva e o SmartPLS para analisar os dados recorrendo-se à modelagem de equações estruturais no intuito de examinar a relação entre variáveis ​​independentes e dependentes. Verificou-se uma relação positiva e significativa entre os constructos, e as duas hipóteses sugeridas foram confirmadas, sendo que H1: há uma relação positiva entre a percepção de qualidade e a satisfação dos estudantes com o ER e H2: há uma relação positiva entre as características individuais dos estudantes e a satisfação com o ER. Os resultados da pesquisa contribuem para a discussão acerca do impacto da pandemia na educação superior e agrega conhecimento em relação aos determinantes da satisfação do estudante com o ER.   Due to the Covid-19 pandemic the need for social distancing arose in order to avoid contagion and as a consequence, remote learning (RE) was adopted as an exceptional regime by almost all Higher Education Institutions (HEIs), worldwide, in 2020. The main objective of this research is to identify the most important factors, in students' perception, that affected their satisfaction with ER. This study used a quantitative approach, by a non-probability sampling method, through the analysis of 311 questionnaires answered online. R software was used for descriptive analysis and SmartPLS to analyze the data using structural equation modeling to examine the relationship between independent and dependent variables. There was a positive and significant relationship between the constructs, and the two suggested hypotheses were confirmed, being H1: there is a positive relationship between perceived quality and students' satisfaction with RE and H2: there is a positive relationship between students' individual characteristics and satisfaction with RE. The research findings contribute to the discussion about the impact of pandemic on higher education and adds knowledge regarding the determinants of student satisfaction with RE.

2022 ◽  
pp. S145-S169
Sara Grundel ◽  
Stefan Heyder ◽  
Thomas Hotz ◽  
Tobias K. S. Ritschel ◽  
Philipp Sauerteig ◽  

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