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This model could be advantageous for the in-depth study of cellular immune responses to the S protein and other viral antigens, such as nucleocapsid and matrix antigen. The S protein appears to be the important viral protein that may be able to mimic the natural infection process intranasally and should be studied as a component of a candidate vaccine.During the COVID-19 pandemic, most countries took precautionary steps to save their citizens by initiating a lockdown and stopping all social activities by closing schools, companies, entertainment places, markets, gardens, and other social gathering places. As children stayed at home with no physical activities, their weight may have increased. The purpose of this study was to examine the link between fast food, sugars, or soft drinks and the ongoing domestic lockdown of the COVID-19 pandemic. This phenomenon was studied in three different cities from three different countries (Saudi Arabia, Britain, and Turkey) from the perspective of children’s parents. The study sought to address three research questions regarding children’s well-being during the COVID-19 lockdown period. First, was children’s nutrition affected during this period? Second, did children’s weight increase? Third, were there any statistically significant differences in children’s dietary patterns based on their gender and nationality? A questionnaire was administered to 330 parents of children aged four to seven years in the three targeted countries. The study found that most parents cared about their children’s nutrition and prepared food at home (96.1%) during the lockdown. Sixty-three percent of parents indicated that children did not gain weight. Additionally, differences in children’s nutritional systems were found between Saudi and Turkish children; the nutritional system of the Turkish children was better than that of Saudi children during the lockdown. Additionally, there were statistically significant differences in children’s nutrition due to gender, with better nutrition for boys than for girls.This qualitative case study investigated how an early childhood teacher and young children in a public White-predominant kindergarten classroom engaged in critical discussions of anti-bias issues including racism, White privilege, gender stereotypes, gender nonconformity, sexism, and homophobia. Through the use of interactive read-alouds using anti-bias picture books, the study’s findings revealed that (a) the children could participate in thoughtful interactions during anti-bias read-aloud sessions and showed their complex understanding of race and gender issues; (b) the children needed substantial support to engage in activism against social injustices; (c) the children displayed a variety of responses to the discussion questions and activities related to gender-themed picture books as most children had difficulties resisting gender binary conceptions and stereotypes while some children, especially boys, were strongly empowered to embrace gender-nonconforming practices; and finally (d) some children internalized and enacted anti-immigrant, anti-Blackness, and racial/gender discriminatory actions to which the early childhood teacher often failed to either disrupt or intervene.The COVID-19 pandemic springs new challenges to medical personnel, scientists and policy makers every single day. Mask use is the singular policy that stood the test of time in containing the transmission of the disease. However, novel and unthought of side effects of continuous usage of masks for long durations are being reported. Here we report a case of pinna avulsion due to unique etiology-the facemask.[This corrects the article DOI 10.1007/s12291-021-00967-0.].Rural off-grid renewable energy solutions often fail due to uncertainties in household energy demand, insufficient community engagement, inappropriate financial models and policy inconsistency. Social shaping of technology (SST) of household appliances provides a critical lens of understanding the involved socio-technical drivers behind these constraints. This study employs an SST lens to investigate appliance uptake drivers in 14,580 households in Rwanda, such that these drivers can aid in policy design for green growth at the grassroots level. The methodology includes an epistemological review of non-income drivers of appliance uptake. Empirical analysis using a binary logistic regression, based on which disruptive innovation pathways were derived for fostering green growth. Results showed that appliance uptake was highly gendered and skewed across the Ubudehe (social welfare) categories. ICT-devices like mobile phones and radios had a higher likelihood of ownership than welfare appliances like refrigerator and laundry machines. Fans and cookers also demonstrated a greater probability of ownership. Disruptive innovation pathways were derived from leveraging the ICT-driven wave of appliance ownership, creation of service sectors through off-grid renewable solutions and promoting cleaner fuel-switching of cooking energy at the household level. Further policy implications were drawn to support the creation of consumption identities for green growth.Coronavirus disease (COVID-19) has evolved into a pandemic with many unknowns. Houston, located in the Harris County of Texas, is becoming the next hotspot of this pandemic. With a severe decline in international and inter-state travel, a model at the county level is needed as opposed to the state or country level. Existing approaches have a few drawbacks. Firstly, the data used is the number of COVID-19 positive cases instead of positivity. The former is a function of the number of tests carried out while the number of tests normalizes the latter. Positivity gives a better picture of the spread of this pandemic as, with time, more tests are being administered. Positivity under 5% has been desired for the reopening of businesses to almost 100% capacity. Secondly, the data used by models like SEIRD (Susceptible, Exposed, Infectious, Recovered, and Deceased) lacks information about the sentiment of people concerning coronavirus. Thirdly, models that make use of social media posts might have too much noise and m sentiment (e.g., death count for COVID-19 will grow at an alarming rate in Houston if mask orders are not followed) will be desirable. Public policymakers may use SITALA to set the tone of the local policies and mandates.Grounded within current reform recommendations and built upon Giere’s views (1986, 1999) on model-based science, we propose an alternative approach to science education which we refer to as the Evidence-Explanation (EE) Continuum. The approach addresses conceptual, epistemological, and social domains of knowledge, and places emphasis on the epistemological conversations about data acquisitions and transformations in the sciences. The steps of data transformation, which we refer to as data-texts, we argue, unfold the processes of using evidence during knowledge building and reveal the dynamics of scientific practices. Data-texts involve (a) obtaining observations/measurements to become data; (b) selecting and interpreting data to become evidence; (c) using evidence to ascertain patterns and develop models; and (d) utilizing the patterns and models to propose and refine explanations. Throughout the transformations of the EE continuum, there are stages of transition that foster the engagement of learners in negotiations of meaning and collective construction of knowledge. A focus on the EE continuum facilitates the emergence of further insights, both by questioning the nature of the data and its multiple possibilities for change and representations and by reflecting on the nature of the explanations. The shift of emphasis to the epistemics of science holds implications for the design of learning environments that support learners in developing contemporary understandings of the nature and processes of scientific practices.National studies on food waste quantification in EU countries present highly discrepant results due to the different quantification approaches adopted. The European Commission has published a delegated act establishing a common methodology and minimum quality requirements for the uniform measurement of food waste generated in Member States. Nevertheless, as EU countries are at different levels of development and implementation of national strategies for food waste quantification, there is a need to develop a harmonized modelling system that enables the estimation of food waste generated by Member States to assess the amounts reported by each country. The aim of this paper is to fulfil this need by presenting two modelling approaches to estimate food waste in EU countries. ML-SI3 clinical trial One approach is based on Material Flow Analysis (MFA) and combines statistical information on the production and trade of food products with food waste coefficients. The other approach is based on the estimation of food waste based on waste statistics. Three EU countries are used to illustrate the two approaches and compare the results obtained thereby. Food waste estimates from waste statistics are generally lower than those obtained using MFA, in particular at the early stages of the food chain. The MFA model presented in this article is the first of its kind developed to estimate food waste across Member States in a consistent way and through time. Crucially, this could support the definition of a baseline and binding targets to reduce food waste across the EU, as announced in the EU Farm to Fork Strategy.EU has set ambitious commitment to achieve low carbon energy and economy transition up to 2050. This low carbon transition means sustainable energy development path based on renewable energy sources and first of all should address the energy poverty vulnerability and justice issues. The main goal of the paper is to develop indicators framework for assessing low carbon just energy transition and to apply this framework for analysis how climate change mitigation policies in households targeting enhancement of energy renovation of residential buildings and promotion of the use of micro-generation technologies and other policies are affecting household’s energy poverty and vulnerability in selected countries Lithuania and Greece. This framework allows to assess three main dimensions of sustainable energy development environmental, social and economic. The paper provides policy recommendations how to deal with just low carbon energy transition which means addressing energy poverty issues during moving to 100% renewables in power generation based on performed case studies.The global rise in obesity and type 2 diabetes has generated significant interest in regulating the glycaemic impact of staple foods. Wheat breads (white or wholemeal) are popular staples, but have a high-glycaemic index, due to the highly digestible wheat starch. Reducing the glycaemic potency of white bread is challenging because the bread-making conditions are mostly conducive to starch gelatinisation. Cellular legume powders are a new source of type 1 resistant starch, where the starch is encapsulated by dietary fibre in the form of intact plant cell walls. The starch in these cell powders is less susceptible to gelatinisation and digestion than starch in conventional legume flours. However, legume cell resilience to baking conditions and the effects of this ingredient on glycaemic responses and product quality are unknown. Here we show that the integrity of cell wall fibre in chickpea powder was preserved on baking and this led to a ~40% reduction in in vivo glycaemic responses (iAUC120) to white bread rolls (~50 g available carbohydrate and 12 g wheat protein per serving) when 30% or 60% (w/w) of the wheat flour was replaced with intact cell powder.