Otherwise, it is also successful to predict the peak time from a past history of a disease when all-time epidemic model is adopted. Accuracy of the derived expressions are initially confirmed by direct comparisons with recently reported approximate formulas in the literature. Several other epidemic disease samples including the COVID-19 often studied in the recent literature are eventually attacked with favourable performance of the presented formulae for assessing the peak time occurrence of an epidemic. A quick evaluation of the peak time of a disease certainly enables the governments to take early effective epidemic precautions.More democratic countries are often expected to fail at providing a fast, strong, and effective response when facing a crisis such as COVID-19. This could result in higher infections and more negative health effects, but hard evidence to prove this claim is missing for the new disease. Studying the association with five different democracy measures, this study shows that while the infection rates of the disease do indeed appear to be higher for more democratic countries so far, their observed case fatality rates are lower. There is also a negative association between case fatality rates and government attempts to censor media. However, such censorship relates positively to the infection rate.Due to the recent advancements in wearables and sensing technology, health scientists are increasingly developing mobile health (mHealth) interventions. In mHealth interventions, mobile devices are used to deliver treatment to individuals as they go about their daily lives. These treatments are generally designed to impact a near time, proximal outcome such as stress or physical activity. The mHealth intervention policies, often called just-in-time adaptive interventions, are decision rules that map a individual's current state (e.g., individual's past behaviors as well as current observations of time, location, social activity, stress and urges to smoke) to a particular treatment at each of many time points. The vast majority of current mHealth interventions deploy expert-derived policies. In this paper, we provide an approach for conducting inference about the performance of one or more such policies using historical data collected under a possibly different policy. Our measure of performance is the average of proximal outcomes over a long time period should the particular mHealth policy be followed. We provide an estimator as well as confidence intervals. This work is motivated by HeartSteps, an mHealth physical activity intervention.The current COVID-19 pandemic has reinstated the importance of telehealth as a business model for accelerating the accessibility of healthcare and improving the quality of healthcare for citizens of a country. Telehealth service has a tremendous potential in a developing country like India where the healthcare facilities in India are heavily concentrated in urban cities while their majority (67%) of the population resides in rural areas. At the same time, a high teledensity of almost 90% supports telehealth overall reach. However, the growth of telehealth in India till now has been sluggish but the corona virus (COVID-19) crisis has redefined the telehealth ecosystem by reducing the risk of infection through person-to-person contact. In this study, we explore the perception of healthcare users towards telehealth services and analyze the key enablers for the telehealth services in the current scenario. We collected data from 1170 participants through personal interview. The results of the study shows a considerable segment of the population is having high healthcare need, have aspirations for accessing better healthcare for themselves and their family members and use ICT to a significant extent. At the same time, they have positive attitude towards telehealth and socio-demographic factors like age, geographical location, educational qualification, family size affects the attitude towards telehealth services. The results of the study shows there is a significant market for telehealth services in India to be explored by the technology firms, hospitals and other healthcare stakeholders and going forward it has an enormous capability to transform the complete healthcare ecosystem, especially in developing countries like India post the COVID-19 crisis.Business models have historically facilitated the ability of firms to create and capture value. Focusing on financial service agents (FSAs) as actors in the Nigerian financial services industry, this study helps to elucidate how value creation and distribution can facilitate business model innovation (BMI) in an emerging market. We deployed Osterwalder and Pigneur's business model canvas alongside Amit and Zott's Sources of Value in e-Business (SVCeB) model in mapping FSA business models and value creation sources. We find that the constant need to align the resources of a firm with the demand conditions at the customer end triggers the need for BMI by FSAs. The findings also demonstrate that FSAs have weak business models that inhibit their sustainability and ultimately impede their ability to play their role in closing the country's financial exclusion gap. We suggest the need for business model innovation by FSAs as a pathway to viability, profitability and sustainability.Nanotechnology research has continued to garner interest and is investigated across a number of fields and industries, ranging from water treatment to clinical and biomedical applications. In biomedical research, for example, polymeric nanoparticles can be leveraged for controlled delivery of drugs and chemical compounds into cells. In cryobiological applications, polymeric nanoparticles can be utilized to deliver cryoprotectants (CPAs) and other protective agents, particularly those impermeable to the cell membrane, into cells to study their effects on cells during cooling down and warming back and at low temperatures. This perspective will discuss how polymeric nanoparticles have been used in cryobiology, with particular focus on how delivery systems have been specifically developed for low temperature applications and the potential for these systems going forward.In this paper we seek to examine the co-authoring pattern of a select group of researchers that are affiliated with a specific country. By way of making use of standard bibliometric analysis, we explore the publication evolution of all COVID-19-related peer reviewed papers that have been (co)-authored by researchers that are affiliated with Greek institutions. The aim is to identify its advancement over time, the institutions involved and the countries with which the co-authors are affiliated with. The timeframe of the study spans from the moment that WHO Director-General declared the novel coronavirus outbreak a public health emergency of international concern (WHO, 2020. Archived WHO timeline-covid-19. Retrieved from Archived Who Timeline-COVID-19. https//www.who.int/news/item/27-04-2020-who-timeline---covid-19. Accessed on 10 May 2020., Archived WHO timeline-covid-19), January 2020, to October 2020. Findings indicate that there is a steady increase in the number of publications as well as the number of scientific collaborations over time. At a cross-country level, results suggest that the affiliated institutional sectors such as the Higher Education Sector (HES) and the Government Sector (GOV) contributed the most in terms of scientific output. On an international scale, the evolution of the scientific collaboration is imprinted and distributed as a chain of affiliations that linked nations together. Such chains are represented as clusters of countries, in which the scientific connections between different countries can be visualised. It can be reasoned that a significant amount of publications (20%) is affiliated with countries having "traditionally" major scientific impact on the field of Medicine.
The online version contains supplementary material available at 10.1007/s11192-021-03952-9.
The online version contains supplementary material available at 10.1007/s11192-021-03952-9.Temperature is one of the key abiotic factors during the life of plants, especially in the Arctic region which is currently experiencing rapid climate change. We evaluated plant traits and environmental variables determining leaf temperature in tundra shrubs and volatile organic compound (VOC) emissions with field measurements on deciduous tundra shrubs, Salix myrsinites and Betula nana, and evergreen Cassiope tetragona and Rhododendron lapponicum. Higher leaf-to-air temperature difference was observed in evergreen, compared to deciduous shrubs. Evergreen shrubs also showed continuously increasing photosynthesis with increasing temperature, suggesting high thermal tolerance. For the deciduous species, the optimum temperature for net photosynthesis was between our measurement temperatures of 24 °C and 38 °C. Air temperature and vapor pressure deficit were the most important variables influencing leaf temperature and VOC emissions in all the studied plants, along with stomatal density and specific leaf area in the deciduous shrubs. Using climate data and emission factors from our measurements, we modelled total seasonal tundra shrub VOC emissions of 0.3-2.3 g m-2 over the main growing season. https://www.selleckchem.com/products/gw788388.html Our results showed higher-than-expected temperature optima for photosynthesis and VOC emission and demonstrated the relative importance of plant traits and local environments in determining leaf temperature and VOC emissions in a subarctic tundra.Like many governments in this COVID-19 pandemic, the Nigerian government imposed a lockdown on the country. As a consequence of the lockdown, many businesses shutdown and effectively had no source of revenue. Yet, without receiving any bailout or palliatives from the government, these businesses are required to meet their tax obligations to the government. Bearing in mind that this time (COVID-19 era) is different, one wonders what is required of businesses in view of the taxation problem and the social contract between the businesspersons and the government. In view of social contract obligations, in this COVID-19 pandemic should businesses pay tax to a government that seems to have delegitimised itself by its exploitative actions in terms of taxation and delinquent omission in terms of the provision of public goods and social services? The Nigerian government at all tiers (federal, state and local) seldom respect the essence of taxation. Therefore, businesses often pay tax for nothing. For many businesses, as far as taxation is concerned, to pay or not to pay? that is the question. This article is aimed at teasing out this taxation problem that may or may not be a moral dilemma. In view of certain ethical considerations, this article shows why in spite of social contract obligations, there is no consensus or canonical agreement on whether, as law-abiding citizens and juridical persons (legal entities), businesspersons and businesses ought to or ought not to pay tax to the Nigerian government in this COVID-19 pandemic.Philosophers are divided over whether implicit biases are beliefs. Critics of the belief model of implicit bias argue that empirical data show that implicit biases are habitual but unstable and not sensitive to evidence. They are not rational or consistently action-guiding like beliefs are supposed to be. In contrast, proponents of the belief model of implicit bias argue that they are stable enough, sensitive to some evidence, and do guide our actions, albeit haphazardly sometimes. With the help of revisionary notions of belief, such as fragmented, Spinozan, and dispositional belief, these theorists argue that implicit biases are beliefs. I argue that both the critiques and defenses of belief models of implicit bias are problematic. This methodological critique suggests that debates about nature of the implicit bias ought to shift away from the belief question and toward more fundamental questions about stability and evidential sensitivity of implicit biases. I chart the path forward for this prescribed shift in the debate.