Hickeywiberg1749

The departure between maritime and land standards show that sectoral interests prevail over labour rights. More decisively, current standards detached labour rights from workers' human nature and attached them directly to sectoral interests.The 2019 novel coronavirus (COVID-19) emerged at the end of 2019 has a great impact on China and all over the world. The transmission mechanism of COVID-19 is still unclear. Except for the initial status and the imported cases, the isolation measures and the medical treatments of the infected patients have essential influences on the spread of COVID-19. In this paper, we establish a mathematical model for COVID-19 transmission involving the interactive effect of various factors for the infected people, including imported cases, isolating rate, diagnostic rate, recovery rate and also the mortality rate. Under the assumption that the random incubation period, the cure period and the diagnosis period are subject to the Weibull distribution, the quantity of daily existing infected people is finally governed by a linear integral-differential equation with convolution kernel. Based on the asymptotic behavior and the quantitative analysis on the model, we rigorously prove that, for limited external input patients, both the quantity of infected patients and its variation ratio will finally tend to zero, if the infected patients are sufficiently isolated or the infection rate is small enough. Finally, numerical performances for the proposed model as well as the comparisons between our simulations and the clinical data of the city Wuhan and Italy are demonstrated, showing the validity of our model with suitably specified model parameters.This Special Issue highlights various good practices and food policy discussion in relation to the transformation of current food systems toward their social, environmental and economical sustainability. The papers describe policies, programmes and initiatives in developing and advanced economies of Europe and Central Asia that refer to the core elements of food systems, such as food supply, food environments, and consumers. The shared opinions, analyses, studies and approaches, experiences and insights contribute to a better understanding of regional specificities and support the efforts to guide the complex food systems' transformation for their improved capacity to deliver healthy diets.Real-time processing and learning of conflicting data, especially messages coming from different ideas, locations, and time, in a dynamic environment such as Twitter is a challenging task that recently gained lots of attention. This paper introduces a framework for managing, processing, analyzing, detecting, and tracking topics in streaming data. We propose a model selector procedure with a hybrid indicator to tackle the challenge of online topic detection. In this framework, we built an automatic data processing pipeline with two levels of cleaning. Regular and deep cleaning are applied using multiple sources of meta knowledge to enhance data quality. Deep learning and transfer learning techniques are used to classify health-related tweets, with high accuracy and improved F1-Score. In this system, we used visualization to have a better understanding of trending topics. To demonstrate the validity of this framework, we implemented and applied it to health-related twitter data from users originating in the USA over nine months. The results of this implementation show that this framework was able to detect and track the topics at a level comparable to manual annotation. To better explain the emerging and changing topics in various locations over time the result is graphically displayed on top of the United States map.In India, the government launched a US$22.6 billion financial support package for the poor and marginalized as a result of Covid-19. Approximately US$ 4.2 billion (INR 310 billion) came from a vast pile of unspent social special-purpose funds. How and why did such a large volume of funds accumulate in the first place, and why did it take a public health emergency to release them? What might be the consequences of their use under such emergency conditions - especially for our understanding of governance and accountability in social welfare provision? This paper presents a brief analysis of two preliminary case studies of specific social special-purpose funds in India. We rely on a handful of unstructured interviews and informal discussions with subnational government officials, civil society actors, trade union representatives, and local community leaders that began in January 2020, and which were pursued virtually following the lockdown. This is bolstered by analysis of primary documents, including Comptroller and Auditor General of India (CAG) reports, relevant laws, and contemporary press coverage. We argue that non-disbursement should be understood as a institutional matter, and not only as technical or implementation failure. Moreover, as such funds are likely to mushroom following Covid-19, our findings suggest that policymakers should focus on the institutional design, decision-making and accountability structures for the flow and distribution of Covid funds, rather than merely emphasising their collection.In the context of the major potential impacts of COVID-19 on agriculture and agricultural trade in developing countries, this Viewpoint discusses the advantages of adopting a conceptual framework previously used to discuss the impact of the HIV/AIDS pandemic on agriculture and rural livelihoods. click here The framework is made up of two pairs of linked concepts 1) Susceptibility or the chance of an individual becoming infected; 2) Resistance or the ability of an individual to avoid infection; 3) Vulnerability or the likelihood of significant impacts occurring at individual, household or community level; and 4) Resilience the active responses that enable people to avoid the worst impacts of an epidemic at different levels or to recover faster to a level accepted as normal. This framework allows the clear formulation of key questions for COVID-19 factors in the labor process itself that make people more or less susceptible; broader socio-economic and biophysical determinants of susceptibility; factors that make farm households, food enterprises and value chains more vulnerable to the impacts of the pandemic; and aspects of COVID-19 responses by governments and the private sector that might increase vulnerability.