Living in an epoch of forcible human-instigated transformations, we can witness their effects both on the Earth’s geology and its ecosystems. So significant are these changes that we are often said to be witnessing the birth of a new epoch – the Anthropocene. This era is believed to be driven by the \"Great Acceleration\" that sees human population grow rapidly, which results in a drastic increase in the demand for energy, land, and water. The expanding human population enters areas previously inhabited by other organisms and displaces them from their natural habitats. This has already led to the sixth mass extinction, Insectageddon and an explosive spread of pathogens attacking native populations of plants, animals, and humans. Ongoing coronavirus pandemic and other diseases triggered by viruses, bacteria, and fungi are linked to the worldwide destruction of ecosystems. Humans’ autodestructive behaviour also poses a threat to other species and wildlife in general.
Introduction: Since the confirmation of the existence of the novel coronavirus in Wuhan. There is one study that describes low Burnout syndrome in physicians from Wuhan who care for infected patients. Objective: To identify frequency of Burnout syndrome, dissatisfaction and concerns in physicians during the COVID-19 pandemic.Materials and methods: analytical cross-sectional study in 127 physicians caring for patients with COVID-19 in Peru. It was used the Maslach Burnout Inventory (Emotional Exhaustion (EE), Depersonalization (DP) and Personal Accomplishment (PA)) and questions about satisfaction and concerns. The Burnout syndrome was defined with EE>26 and/or DP>9, and/or PA<31. Likelihood ratio was used to establish association and prevalence ratio to estimate risk.Results: Burnout was in 89% of physicians. The 70.1% presented feel of increases Burnout due to the COVID-19 pandemic. The 63% were concerned about becoming infected with COVID-19, the 74% was unsatisfied during the pandemic. Being a man had 1.962 more likely to have Burnout for depersonalization that being a woman. Being a pneumologist was 3,759 more likely to feel dissatisfaction during the pandemic. Conclusions: 9 of every 10 physicians had Burnout Syndrome, 7 referred sensation of increase of Burnout and 6 to 7 dissatisfaction during the COVID-19 pandemic. Also, 6 to 7 of every 10 physicians were concerned about becoming infected with COVID-19 and 7 to 8 were concerned about their family becoming infected. 60.6% of physicians were concerned that the pandemic will last for a long time. Being a woman decreased the probability of having Burnout due to depersonalization.
The aim of this study is to; The Effect of Motor Skills on the Creative Thinking Levels of Secondary School Students \n Research group; studying at a secondary school in Turkey and consists of a total of 60 healthy and secondary school students who participate volunteered to in the experimental and control groups between age 10-12.\n To achieve the purpose of the research, Creativity personality Scale developed by Şahin and Danışman (2017) were used for data\'s collection. The motor skill test was applied to the students studying at secondary school for 9 weeks and an experimental design with pre-test and post-test control group was used in the study.\n In the analysis and assessment of the data; Compliance of the data to normal distribution was tested with one sample kolmogorov-smirnov, shapiro-wilk, skewness, kurtosis tests, and then, according to these data, paired samples t test for related samples and independent samples t test within independent samples groups were and taken to p <0.05.\n As a result of this study; It was concluded that the movement activity affects the motor creativity and creative thinking levels of the individuals and it is necessary to use various movement components to develop the creativity of the individuals.
Online education in public sector universities in Pakistan is a new experience amid COVID-19. This paper explores the experiences of students and teachers – who faced pandemic for the first time in their lives and experienced online education through qualitative research approach. It is explored that neither students nor teachers were ready for online education as it had never been part of the education system. The current semester posed many challenges to everyone who was involved in education but mainly students and teachers. Students and teachers reluctance and preparedness is discussed throughout the article. It is found that with the assistance and training can help students and teachers to overcome anxiety, stress and depression due to COVID-19 and online education. However, a clear vision, complete planning and sustainable solutions needs to be developed for an equitable online education provision.
This study aims to detect financial crises and their signal indicators in G7 countries from 1990 to 2016. For this purpose, fourteen leading economic indicators supported by the economic literature were examined for signaling along with the 24-month crisis window before the beginning of a crisis. Among them, successful crisis estimators were determined by the noise signal ratio. The identified crisis estimators provide essential information about the dynamics of economies and the crisis channels affecting them. Our findings may help policymakers determine adverse policies against a crisis, avoid large losses, and stabilize the world economy and national economies. According to the study result, the exchange rate, inflation, and GNP indicators did not signal G7 countries, as the group\'s countries have strong currencies. This situation shows the existence of monetary stability in 7 developed countries. Besides, G7 countries are generally more digitalized, already completed the industrialization process, have high efficiency in the services sector, and have extensive and stable financial markets. There are areas in which they have superiorities. These and similar structures create resistance against crises. It is even possible that the leading indicators show insensitivity or that the theory shows otherwise.
Medical image analysis is needed in various spheres such as in diagnostics, therapy monitoring, surgery planning and several other medical applications. Segmentation analysis has special importance in case of medical imaging of brain and heart diseases, which are fatal and require immediate attention for disease detection, analysis and cure. An algorithm for segmentation of medical image sequences based on hybrid of Simulated Annealing and Genetic Algorithm (GA) which uses k-mean clustering in the feature vector space has been proposed. The major advantage of the simulated annealing is the search for the global optimum solution rather than being stuck in local optima. The comparison of the proposed method with segmentation analysis using K-mean and K-NN establishes it to be better one and proves it to be optimal one