Waltonhoward0845

Foreign trade is one of the important components in economic development and a source of foreign exchange earnings. In Iran, the government desires to develop foreign trade with a focus on non-oil exports. One of the substantial non-oil products is agricultural products. Iran is one of the top ten countries in the world in terms of producing agricultural products, especially citrus, but it does not have suitable conditions in terms of exports. Mazandaran province is a considerable source of citrus production in Iran, and the main produced citrus in the province is exported to Russia. Worth bearing in mind that although the production rate of citrus in the province is very well, the amount of export is not very appropriate. Therefore, the government struggles to adopt an appropriate approach to improve the conditions and taking the right approach is not possible without identifying the variables affecting exports. In this regard, in this study, first, the variables affecting citrus exports regarding the case are determined using literature review and the most related those to the case study are selected using the Delphi method. Then, the identified variables are ranked using the fuzzy DEMATEL method. Focusing on the results, it can be observed that "exchange rate fluctuation" and "marketing" have the most and the least impact on the development of citrus exports from the province to Russia, respectively. Moreover, to better analyze the gained results, the determined variables are divided into two main categories based on stages of trade, and each category's variables are discussed in detail.Attitude towards environmental protection is a crucial component in environmental safeguard psychology. DNA Damage inhibitor It is a psychological tendency expressed by evaluating the environmental gender attitude with favour or disfavour. This study aimed to compare the attitude level of male and female trainees towards environmental protection based on personal, psychological and sociocultural variables by using an ex post facto research design. The research population was composed of the trainees (N=177) who participated in the online training programmes organized from April 07 to May 31, 2020, by the Centre for Advanced Agricultural Science and Technology (CAAST) for Climate Smart Agriculture and Water Management (CSAWM), MPKV, Rahuri, Maharashtra, during COVID-19 lockdown period. In this study, an online survey method was used. The research instrument was a well-designed and structured online questionnaire using a Google Form consisting of two sections. The first section consisted of 11 independent variables of personal, psyies, social media, policymakers, scientists, extension workers, research organizations, various training programmes, participation of students and faculty in the environmental cleanliness drive and awareness programs, etc.To stop the spread of COVID-19, governments have implemented confinement measures unprecedented in modern society. One of the main consequences has been the paralysis of commercial and industrial sectors worldwide, primary electricity consumers. This paper examines the impact of these measures on the electricity sector through a literature review accompanied by fieldwork on the impact of COVID-19 in Ibero-America and its energy regulatory response. First, we will review the causes of the reduction in electricity demand due to the confinement measures and their technical and financial consequences in the electricity sector. Second, we will examine the impact of COVID-19 on the wind and solar PV energy sectors, mainly affected by the paralysis of production and export of materials and components. Third, we will revise the regulatory measures implemented by the countries to avoid the interruption of electricity supply to households. This paper will end by reviewing economic recovery plans and their relationship to the energy transition. Although there are no fundamental differences between developed and developing countries in their regulatory reaction to this crisis in the energy sector, there are significant differences in economic recovery planning. While developed countries aim for a green economic recovery and the creation of green jobs, developing countries are allocating least resources to social protection and general economic stimulus programs, postponing climate objectives. In Latin America, this adds to the high levels of debt faced by utilities and the possible resurgence of social crises that were stopped by the COVID-19 outbreak, making a green recovery even more difficult.Many seem to believe that today's pre-service teachers as born after 1980 are digital natives, or that they are "native speakers" of the digital language. Nevertheless, there is no evidence that their digital native characteristics determine whether or not they would use technology in the classroom. Although not widely evaluated, the four-factor, 21-item Digital Nativity Assessment Scale (DNAS) was one of the first instruments to assess digital nativeness (DN). This study aim is to explore the influence of pre-service teachers' DN on their intention to use technology in the future classroom in Serbia, by evaluating the DNAS on Serbian sample and using it for measuring the DN. Six variables were incorporated to examine their mutual relationships based on technology acceptance model digital nativeness, behavioral intention (BI), perceived usefulness (PU), perceived ease of use (PEU), subjective norm (SN), and technological complexity (TC). Data were collected from 688 pre-service teachers in Serbia. Exploratory factor analysis confirmed a four-factor model for the DNAS, and Serbian pre-service teachers demonstrated a high level of DN. To evaluate the hypothesized model structural equation modeling was utilized. The suggested model had a good fit for describing the BI of Serbian pre-service teachers, accounting for 27.1% of the variance in BI. It was found that direct dominant predictors of BI are digital native traits, perceived usefulness, and perceived ease of use. Significant influence of digital native traits on all other variables in the model was also confirmed. The implications for theory and practice are discussed.Cluster randomized trials are frequently used in educational research for methodological reasons. This study aims to improve the efficiency of cluster randomized trials on computer/information literacy and computational thinking. The study employs a two-level hierarchical linear model to estimate (i) intraclass correlation coefficients, (ii) the amount of explained variances given selected predictors, and (iii) minimum detectable effect sizes given the set of plausible scenarios. Two data cycles from the International Computer and Information Study were used. The covariates at the student level are gender, interest in ICT, parents' highest education level, ICT self-efficacy, and experience with computers. The covariates at school/teacher level are teacher's ICT use, ratio of school size to the number of computers for student use, availability of ICT resources at school, approximate teacher age, and ICT self-efficacy. Findings showed that the most precise effect could be measured when student and teacher/school covariates are both adopted. Lastly, it was revealed that increasing the number of schools is effective to get the most precise effect.What should the EU do about the fact that some Member States are backsliding on their commitments to democracy, supposedly a fundamental value of the EU? The Treaty provisions under Article 7 TEU are widely criticized for being ineffective in preventing such developments. Are they legitimate? I argue that the ultimate sanction of Article 7 TEU falls into a performative contradiction, which undermines its ability to coherently defend fundamental values. Instead, expulsion from the EU is the appropriate, coherent and legitimate final political sanction for democratic and rule of law backsliding by a Member State. The argument has the following steps In Part 1, I argue that the current Article 7 framework for responding to democratic and rule of law backsliding in the EU is normatively problematic, in that the mechanism currently in the Treaty undermines the values it purports to defend; in other words, it falls into a performative contradiction. It is undemocratic to deprive Member States of their right to vote in the Council while holding them subject to Council decisions. However, Part 2 studies relevant philosophical arguments from an adjacent literature on criminal disenfranchisement, concluding that allowing backsliding Member States to keep their voting rights in the Council also taints the democratic character of Council decision-making. In Part 3, I consider the resulting paradox in light of the literature on militant democracy. Could militant democracy justify Article 7? I argue not; even if we accept the hypothetical justifiability of militant measures, they are not legitimate here since a democratically acceptable alternative exists that would safeguard the democratic character and legitimacy of Council decision-making expulsion from the Union. I also address a central objection to an expulsion mechanism-that it would require treaty change and is therefore practically impossible.

The COVID-19 pandemic jeopardized the traditional academic learning calendars due to the closing of all educational institutions across the globe. To keep up with the flow of learning, most of the educational institutions shifted toward e-learning. However, the students' e-learning preference and e-learning readiness did not identify, particularly among the Bangladeshi female nursing students, where those can pose serious challenges. A cross-sectional study was carried out among the female nursing students between December 26, 2020, and January 11, 2021. A total of 237 students were recruited who have enrolled in e-learning at least the last 30days of the participation. Multivariable linear regression models were fitted to find the association of students' preference, e-learning readiness domains, and other variables.

A cross-sectional study was conducted among the female nursing studentsto assess perceived e-learning readiness in thesubdomains of readiness; availability, technology use, self-confidence, c.

The outcomes of the study could be helpful while developing an effective and productive e-learning infrastructure regarding the preparedness of nursing colleges for the continuation of academia in any adverse circumstances like the COVID-19 pandemic.Caregivers of children with special health care needs (CSHCNs), especially those whose children have emotional, behavioral, or developmental problems (EBDPs), experience considerable strain and stress related to caring for their child's special needs. The enormous burden of caregiving can decrease a parent's ability to provide care, impacting the health of the child, the parents, and overall family functioning. To manage these challenges, these parents report the need for mental health care for themselves or their children, but many families with need go without care. Comprehensive knowledge about barriers to family mental health care for families of CSHCN is lacking. This study examines data from the National Survey of Children with Special Health Care Needs (2005/2006 and 2009/2010) to estimate time-specific, population-based prevalence of fourteen specific barriers to family mental health services and identifies risk factors for experiencing barriers to care for families of CSHCN. Among all CSHCN, cost barriers (33.