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Social networks like Twitter, Facebook have recently become the most widely used communication platforms for people to propagate information rapidly. Fast diffusion of information creates accuracy and scalability issues towards topic detection. Most of the existing approaches can detect the most popular topics on a large scale. However, these approaches are not effective for faster detection. This article proposes a novel topic detection approach - Node Significance based Label Propagation Community Detection (NSLPCD) algorithm, which detects the topic faster without compromising accuracy. #link# The proposed algorithm analyzes the frequency distribution of keywords in the collection of tweets and finds two types of keywords topic-identifying and topic-describing keywords, which play an important role in topic detection. Based on these defined keywords, the keyword co-occurrence graph is built, and subsequently, the NSLPCD algorithm is applied to get topic clusters in the form of communities. link2 The experimental results using the real data of Twitter, show that the proposed method is effective in quality as well as run-time performance as compared to other existing methods.

Medical students are known to have high levels of depression, anxiety and stress from the high-pressure environments that they study and train in. The coronavirus pandemic presents source of stress and anxiety to large populations in general, and to healthcare professionals in particular. This study was undertaken to assess the psychological effects of this pandemic on the mental health of medical students and trainees.

An online questionnaire was designed to capture information on the participant's anxieties related to the pandemic and included a validated tool for the assessment of anxiety and depression symptoms (GAD-7 and PHQ-9, respectively). The questionnaire was prepared on Google Forms, and the link to the questionnaire was disseminated to 113 medical students and junior doctors on 19 April 2020, and the survey closed on 22 April 2020 midnight.

The survey was sent to 113 students, and 83 students participated. Of the participants, 47 (56.6%) were female and 36 (43.4%) were male, and 80 (96.4%) wpatient care and care of patients with Covid-19 did not result in a measurable deterioration in anxiety and depression in this study. In this stressful pandemic situation, it is imperative to look after the mental health of healthcare workers as well as patients.The selection of the appropriate aircraft can bring competitive advantages to airlines, however, there are a number of factors which introduce a degree of uncertainty to the selection process. By removing this uncertainty, airlines can increase their chances of achieving their long-term goals. New Multi-Criteria Decision Making (MCDM) methods provide decision-makers with a satisfactory solution for choosing suitable aircraft. Therefore, we focused on the multi-dimensional evaluation and selection of the most suitable commercial aircraft alternatives by using new MCDM method. link3 This article provides decision support to airline planners on the selection of commercial aircraft under uncertainty. In the study, unlike other studies in the literature on aircraft selection, the model presented here uses an Interval Type-2 Fuzzy Analytical Hierarch Process (IT2FAHP) and Interval Type-2 Fuzzy Technique for Order Preference by Similarity to an Ideal Solution (IT2FTOPSIS) hybrid methods. The proposed model for aircraft selection allows commercial airlines to evaluate the aircraft in terms of specific criteria economic performance, technical performance, and environmental impact, and, as a result, it helps decision makers select appropriate aircraft in an uncertain environment. In addition to use by commercial airlines, the methods in the study can also be applied to the selection of training aircraft, cargo aircraft and military aircraft. Our findings show that the Airbus A321neo is the most suitable commercial aircraft in terms of technical aspects, economic aspects and environmental aspects for airlines.Number of well-known contagious diseases exist around the world that mainly include HIV, Hepatitis B, influenzas etc., among these, a recently contested coronavirus (COVID-19) is a serious class of such transmissible syndromes. Abundant scientific evidence the wild animals are believed to be the primary hosts of the virus. Majority of such cases are considered to be human-to-human transmission, while a few are due to wild animals-to-human transmission and substantial burdens on healthcare system following this spread. To understand ML141 cell line , we fitted a susceptible-infectious-quarantined model for human cases with constant proportions. We proposed a model that provide better constraints on understanding the climaxes of such unseen disastrous spread, relevant consequences, and suggesting future imperative strategies need to be adopted. The main features of the work include the positivity, boundedness, existence and uniqueness of solution of the model. The conditions were derived under which the COVID-19 may extinct or persist in the population. Sensitivity and estimation of those important parameters have been carried out that plays key role in the transmission mechanism. To optimize the spread of such disease, we present a control problem for further analysis using two control measures. The necessary conditions have been derived using the Pontryagin's maximum principle. Parameter values have been estimated from the real data and experimental numerical simulations are presented for comparison as well as verification of theoretical results. The obtained numerical results also present the verification, accuracy, validation, and robustness of the proposed scheme.Online purchasing, and hence e-commerce packaging production and use, have grown steadily in recent years, and so has their environmental impact as a result. This paper reviews the evolution of packaging over the last century through a compilation of scientific literature on e-commerce packaging focusing on its environmental side. The primary aims were to identify research gaps in e-commerce packaging and to propose new research lines aimed at reducing its environmental impact. A systematic search of abstracts was conducted to identify articles dealing with sustainability in e-commerce packaging in order to better understand changes in materials and formats, identify problems such as oversizing and allow prospective readers to become acquainted with the latest innovations in materials, sustainability and logistics. Based on existing research, packaging materials and technology evolved rapidly until the 1990s. Later, however, it has become increasingly difficult to further reduce their cost and environmental impact. Also, some packaging products continue to be made from non-renewable materials and thus restrict growth of e-commerce. Further research is needed with a view to producing new packages from renewable sources such as cellulose-containing materials, which are widely available in nature, or from recycled cellulose-based materials such as cartonboard. Improving distribution processes with new, more effective tools could additionally help alleviate the environmental impact of packaging. Similarly, new production processes such as additive manufacturing and 3D printing might help optimize package volume and shape, thereby facilitating more sustainable production through, for example, reduced CO2 emissions. Currently available technology can be useful to rethink the whole e-commerce packaging paradigm, which has changed very little over the past few decades.This study investigates the long-term effects of initial labor market conditions by comparing cohorts who graduated from college before, during, and after the 1997-1998 Asian financial crisis in South Korea. We measure the overall welfare effect by examining their labor market activities, family formation, and household finances. Using data from 20 waves of the Korean Labor and Income Panel Study, we find a substantial and persistent reduction in employment, earnings, marriage, fertility, and asset building among men who graduated during the recession. For women, limited job opportunities at graduation resulted in an increase in childbearing. We also find evidence that family provides a risk-sharing mechanism for recession graduates. Our results suggest that labor market entry in a large-scale recession has prolonged effects on a young worker's life course even after the penalties in the labor market have disappeared.•Funding for renewables has been cut across Europe in the years since the financial crisis.•Crowdfunding models share a societal ethos with proponents of investment in renewables.•Positive attitudes are shown to be widespread regarding crowdfunding's potential to support renewables.•The evidence suggests that both emotional and pragmatic (experiential) factors underpin this pattern.Atewa Forest Reserve in the Eastern Region of Ghana represents one of only two reserves with upland evergreen forests in Ghana but is also a possible site for bauxite mining. The Government of Ghana deployed an infrastructure in anticipation for a refined bauxite agreement with China. Ghana's Government seeks to develop an integrated Bauxite-Aluminum Industry; however, several NGOs try to protect the Atewa Forest and propose that the area should be upgraded to a National Park. In this study, this conservation-exploitation conflict is analyzed from a political ecology perspective elaborating on who are the involved key actors, their relations and what strategies are used. Political ecology is about recognizing the power that actors have at the moment of deciding what, how, and where to conserve nature. Based on interviews done during fieldtrips in 2018, 2019 and 2020 complemented by an analysis of political documents, the identified strategies the NGOs are using in this conflict, can be described as demonstration and upscaling. The aim of this paper is to draw attention on the politicization of nature, in particular Atewa forest reserve and its bauxite resources.Kerala, a small state in South India, has been celebrated as a development model by scholars across the world for its exemplary achievements in human development and poverty reduction despite relatively low GDP growth. It was no surprise, then, that the Covid 19 pandemic that hit Kerala before any other part of India, became a test case for the Kerala model in dealing with such a crisis. Kerala was lauded across the world once again as a success story in containing this unprecedented pandemic, in treating those infected, and in making needed provisions for those adversely affected by the lockdown. But as it turned out, this celebration was premature as Kerala soon faced a third wave of Covid 19 infections. The objective of this paper is to examine Kerala's trajectory in achieving the success and then confronting the unanticipated reversal. It will examine the legacy of the Kerala model such as robust and decentralized institutions and provisions for healthcare, welfare and safety nets, and especially the capacity of a democratic state working in synergy with civil society and enjoying a high degree of consensus and public trust. It will then examine the new surge of the virus and attempts to establish if this was due to any mistakes made by the state or some deficits in its model of "public action" that includes adversarial politics having a disruptive tenor about it. We will conclude by arguing that the Kerala model is still relevant, and that it is still a model in motion.