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1.
Wireless Communications & Mobile Computing (Online) ; 2022, 2022.
Article in English | ProQuest Central | ID: covidwho-1832665

ABSTRACT

Online live streaming has been widely used in distant teaching, online live shopping, and so on. Particularly, online teaching live streaming breaks the time and space boundary of teaching and has better interactivity, which is a new distant education mode. As a new online sales model, online live shopping promotes the rapid development of Internet economy. However, the quality of live video affects the user experience. This paper studies the optimization algorithm of ultra-high-definition live streaming, focusing on superresolution technology. Convolutional neural network (CNN) is a multilayer artificial neural network designed to process two-dimensional input data. It takes advantage of CNN in image processing. This paper proposes an image superresolution algorithm based on hybrid dilated convolution and Laplacian pyramid. By mixing the dilated convolution module, the receptive field of the network can be improved more effectively to obtain more context information so that the high-frequency features of the image can be extracted more effectively. Experiment was running on Set5, Set14, Urban100, and BSD100 datasets, and the results reveal that the proposed algorithm outperforms baselines with respect to peak signal to noise ratio (PSNR), structural similarity index measurement (SSIM), and image quality.

2.
Journal of Economics and Development ; 24(2):98-111, 2022.
Article in English | ProQuest Central | ID: covidwho-1831690

ABSTRACT

Purpose>The paper investigates the relationship between credit to the economy, foreign direct investment (FDI) and the unemployment rate in Uzbekistan using macroeconomic time series over 2004–2019.Design/methodology/approach>The study estimates the relationship by applying a vector autoregression model, which is considered a “workhorse” model for policy analysis to capture dynamic relationships in economic time series.Findings>The results suggest both growth in credit to the economy and FDI Granger cause a change in the unemployment rate. The authors found 1% increase in bank credits to the economy growth decreases the unemployment rate by 0.096 pp. over eight years. On the contrary, 1% positive shock to FDI growth increases the unemployment rate by 0.0036% in the context of Uzbekistan.Practical implications>Uzbekistan should improve FDI absorptive capacity, particularly human capital and financial market development, through growth-enhancing structural reforms in the financial sector to stimulate economic growth and employment. The attracted FDI funds should focus on productive and economic sectors with high labor-absorptive capacity, such as financial and professional services, healthcare and biomedicine, creative industries and media, software sector.Originality/value>The study contributes to the empirical literature on employment effects of FDIs and credit to the economy of Uzbekistan.

3.
International Journal of Sustainability in Higher Education ; 23(5):981-1000, 2021.
Article in English | ProQuest Central | ID: covidwho-1831644

ABSTRACT

Purpose>To achieve sustainable development to protect the environment and society, an increasing number of scholars have conducted in-depth research on sustainable and responsible consumption behaviors. The outputs demonstrate that consumers are increasingly concerned and aware of the issues associated with the excessive use of resources. The purpose of this paper is to analyze the validity and reliability of the Sustainable Consumption Scale (SC-S) in the Spanish context.Design/methodology/approach>The adaptation of SC-S to Spanish was carried out in accordance with international methodological standards. The Spanish version of this scale was applied empirically to the research sample was composed of 962 university students (49.1% male and 50.9% female) from 54 Universities in 15 regions of Spain that participated in the study.Findings>The analyses carried out to verify the psychometric properties retained 16 items from the original proposal, grouped equally in three factors: Cognitive – six items;Affective – seven items;and Conative – four items. The scale presented adequate adjustment indexes, as well as optimal values of the different measures of reliability, recommended by the literature.Originality/value>This instrument can be used by the Spanish academic community, which will contribute to the assessment and prediction regarding a sustainable consumption attitude. From these screenings, it will be also possible to understand the impact and development of the objectives outlined by Agenda 2030.

4.
International Journal of Energy Sector Management ; 16(4):680-703, 2021.
Article in English | ProQuest Central | ID: covidwho-1831627

ABSTRACT

Purpose>Achieving the goals of the sustainable development strategy and Egypt’s vision 2030 depends mainly on the existence of sources of funds. And since Egypt faces a great challenge in obtaining finance, then analyzing the drivers of financial development is a vital issue and there is a persistent need to shed light on the key obstacles for it. Thus, this paper aims to empirically assess the impact of natural resources, foreign direct investment (FDI) net inflows, education and clean energy sources on financial development in Egypt using the data of the 1971–2014 period.Design/methodology/approach>The paper uses auto-regressive distributed lag and Toda-Yamomoto approaches to fulfill the purpose.Findings>Empirical results signify that all variables except natural endowments stimulate financial development which can suggest the presence of the natural resources curse in Egypt. Moreover, the feedback effect between financial development and FDI is recognized. Clean energy sources cause financial development and natural endowments. Financial development causes natural endowments and FDI leads to the deployment of more clean energy resources.Practical implications>Several crucial policy implications are suggested based upon these results as improving the quality and quantity of education and encouraging both domestic and foreign investors by providing several incentives. Moreover, the government has to enhance green finance through financing solar energy projects and other environmentally friendly projects.Originality/value>It is the first research for Egypt that explores natural resource-financial development nexus using time series analysis according to our information, and two important variables are included in the model which is clean energy sources and FDI. Then, although several studies examined the impact of financial development on clean energy no empirical study before assessed the impact of clean energy on financial development.

5.
Health Policy Technol ; : 100574, 2021 Nov 08.
Article in English | MEDLINE | ID: covidwho-1828540

ABSTRACT

OBJECTIVE: : Since the COVID-19 pandemic, many governments globally have introduced policy measures to contain the spread of the virus. Popular COVID-19 containment measures include lockdowns of various forms (aggregated into government response stringency index [GRSI]) and handwashing (HWF). The effectiveness of these policy measures remains unclear in the academic literature. This study, therefore, examines the effect of government policy stringency and handwashing on total daily reported COVID-19 cases. METHOD: : We use a comprehensive dataset of 176 countries to investigate the effect of government policy stringency and handwashing on daily reported COVID-19 cases. In this study, we apply the Lewbel (2012) two-stage least squares technique to control endogeneity. RESULTS: : Our results indicated that GRSI significantly contributes to the increase in the total and new confirmed cases of COVI-19. Sensitivity analyses revealed that the 1st, 4th, and 5th quintiles of GRIS significantly reduce total confirmed cases of COVID-19. Also, the result indicated that while the 1st quintile of GRIS contributes significantly to reducing the new confirmed cases of COVID-19, the 3rd, 4th, and 5th quintiles of GRSI contribute significantly to increasing the new confirmed cases of COVID-19. The results indicated that HWF reduces total and new confirmed cases of COVID-19; however, such effect is not robust to income and regional effects. Nonlinear analysis revealed that while GRSI has an inverted U-shaped relationship with total and new confirmed cases of COVID-19, HWF has a U-shaped relationship. CONCLUSION: : We suggest that policymakers should focus on raising awareness and full engagement of all members of society in implementing public health policies rather than using stringent lockdown measures.

6.
Safety Science ; 145, 2022.
Article in English | GIM | ID: covidwho-1823574

ABSTRACT

This special issue includes 32 articles focusing on economic development and construction safety research;correlates of safety voice in the offshore oil rig sector;deep learning for autonomous vehicle and pedestrian interaction safety;critical success factors for epidemic emergency management in colleges and universities during COVID-19;injury severity and influence factors in surface mines;a qualitative study of mental health supports in the Ghanaian mining industry;safety hazards in coal mines of Guizhou China during 2011-2020;the effect of within-firm vertical pay disparity in occupational safety;psychosocial safety climate as a precursor to team and individual motivational functioning;workplace safety management practices, job insecurity, and employees' organizational citizenship behavior.

7.
Acta Obstetricia et Gynecologica Scandinavica ; 101(4):386-387, 2022.
Article in English | EMBASE | ID: covidwho-1822044
8.
Nature ; 604(7907):620-624, 2022.
Article in English | EMBASE | ID: covidwho-1821571

ABSTRACT

Governments, donors and others must step up to protect current and future generations from the devastating effects of malnutrition, as well as to prevent acute food insecurity. [Figure not available: see fulltext.].

9.
E+M Ekonomie a Management ; 25(1):177-194, 2022.
Article in English | ProQuest Central | ID: covidwho-1818794

ABSTRACT

This research article focuses on the ecological operation of accommodation services in Bulgaria. The aim of this article is to evaluate the application of various green management elements and measures in selected hotels in Bulgaria, namely in the cities of Sofia and Varna. The research will pay attention to the implementation of individual green measures in hotel operations as well as a comparison between hotel categories and hotels in the two cities in terms of the application of green measures. Running an environmentally friendly hotel can have several positive effects, it significantly manifests itself in the area of marketing - it creates an image, has an effect on current and prospective guests, and defines the positioning of the hotel. It also impacts the economic and operational aspects, with ecological elements having the potential to reduce hotels' operating costs. The societal impact of running hotels in an environmentally friendly fashion lies in resource conservation and ensuring environmental sustainability. This research was carried out using mixed research methods, combining semi-structured interviews with hotel management staff in Varna (n = 90) and Sofia (n = 96). The total sample of participating hotels represented 81.6% of hotels in the two cities. The interviews were complemented with a questionnaire survey, which focused on the application of environmentally friendly solutions in hotel operations. In the data analysis stage, the methods of correspondence analysis, the ANOVA test and the Kruškal-Wallis test were used. The results suggest that the higher the hotel category, the stronger the trend to use environmentally friendly methods in running hotels. The research also found that there were differences between the level at which green measures were applied in hotel operations in the two cities. The research results are applicable in practice by national professional associations that support resource conservation and thus affect the entire hospitality industry.

10.
Tourism and Hospitality ; 3(1):47, 2022.
Article in English | ProQuest Central | ID: covidwho-1818202

ABSTRACT

While the COVID-19 pandemic evolves and new variants emerge, destinations and cities look to tourism recovery, cautiously rebooting and re-opening borders. Since the start of the pandemic, dramatic lockdowns have been employed, resulting in dire economic and social consequences to the tourism and hospitality industry and creating the need for a more feasible and sustainable response in the post-pandemic era. Pandemic vigilance and resilience at the societal level have become key in pandemic preparedness. However, due to the complexity of managing COVID-19, no clear cross-disciplinary collaborative framework for tourism recovery has been developed. Cross-sector collaboration to collectively integrate resources, capabilities, and experiences should be prioritised to spearhead tourism recovery plans. With insight on public health, pandemic preparedness, and community access, we hypothesised that cross-industry collaboration between the tourism industry and the pharmacist profession is relevant to the measures adopted for recovery from the COVID-19 pandemic. To examine this hypothesis, this study aimed to explore perceptions from key stakeholders in the tourism and the pharmacist sectors on cross-industry collaboration towards COVID-19 management and the “know-how” in developing, adopting, and advancing such a partnership. This exploratory study adopts and advances the ‘Four Cs’ conceptual framework of communication, cooperation, coordination, and collaboration. In terms of our hypothesis, interview responses with tourism executives and CPs confirm the framework’s suitability and the importance of an interdisciplinary collaborative approach between CPs and the tourism sector to craft a sustainable pathway to recovery from COVID-19 and future pandemic measures as borders re-open and international mobility increases. A tourism recovery strategy from this pandemic can occur more judiciously through a collaborative partnership with an extensive network of pharmacists within communities and popular tourism sites, as CPs have valuable healthcare resources and the ability to track and communicate healthcare alerts to tourism destination recovery efforts.

11.
Pharmacologyonline ; 2:843-851, 2021.
Article in English | EMBASE | ID: covidwho-1812818

ABSTRACT

The article analyzes the financial condition and efficiency of financial logistics MNPE «Gerbachevsky Regional Clinical Hospital» Zhytomyr Regional Council. The main indicators that reflect the financial condition of the regional hospital based on its status as a municipal non-profit enterprise are outlined. The main problems of the low level of financial condition are substantiated by the ”Gerbachevs ky Regional Clinical Hospital”. The purpose of the article is to study the financial condition of MNPE «Gerbachevsky Regional Clinical Hospital» Zhytomyr Regional Council and its financial logistics for the purpose of revealing of the basic problems of financial maintenance of activity of regional municipal medical institutions. Research methods. The article uses general scientific research methods, in particular. synthesis analysis. In the study of scientific literature and analysis of the financial condition of MNPE «Gerbachevsky Regional Clinical Hospital» Zhytomyr Regional Council» economic and statistical analysis and comparison, when calculating the financial condition of the hospital, generalization, in the development of recommendations for improving the efficiency of financial logistics and financial support of MNPE «Gerbachevsky Regional Clinical Hospital» Zhytomyr Regional Council. Results: the financial condition and efficiency of financial logistics of the state of MNPE “Gerbachevsky Regional Clinical Hospital” Zhytomyr Regional Council. An unsatisfactory level of financial support for the state of the MNPE “Gerbachevsky Regional Clinical Hospital” Zhytomyr Regional Council, due to the lack of opportunities to attract large amounts of private capital for the development of the hospital and the limited local and state budgets. The expediency of introduction of paid medical services, financing of medical projects on the basis of crowdfunding, development of elements of medical insurance, attraction of the international financial help and grants, optimization of budgetary programs of financing of medical branch, etc. is substantiated.

12.
Delhi Business Review ; 23(1):23-32, 2022.
Article in English | ProQuest Central | ID: covidwho-1812207

ABSTRACT

Purpose: The aim of this paper is to assess the market efficiency of Indian Stock Markets during the COVID 19 Pandemic. More specifically it tests for the validity of Weak Form Efficiency. Market efficiency is fairly important for various market players as it is an indicator on which they base their investment decision. Design/methodology/approach: Daily data of 10 indices has been gathered for a period of 15 months from March, 2020 to May, 2021. A variety of tests namely the Runs test, Autocorrelation Functions, Correlograms and Box Pierce test have been used to evaluate efficiency levels. Findings: This paper concludes that the Indian Stock Markets are not weak form efficient for the period under consideration, indicating that stock prices do not reflect all possible information and are mispriced. This allows for the use of technical analysis, trading rules and Fundamental analysis to generate abnormal returns. Research Limitations/Implications: The current study is based on particular time frame. Originality/Value: This research is original in contribution to existing literature.

13.
Delhi Business Review ; 23(1):1-8, 2022.
Article in English | ProQuest Central | ID: covidwho-1812206

ABSTRACT

Purpose: The aim of this paper is to explore the growth of Indian's Foreign Direct Investment (FDI) equity inflow amid Covid-19 outbreak. Design/methodology/approach: in-depth review of current and previous literatures from journals and periodic publications of legitimate organizations both local and international on the evolution and the trend of Covid-19 pandemic as well as it impacts on Indian's FDI was conducted. Findings: The findings however revealed a major drop in net FDI flows globally, but on the contrary, a significant increase was recorded in India. Secondly, key sectors such as services sectors, computer software and hardware, telecommunications, trading, automobile, construction development, chemicals, and pharmaceuticals was revealed to have attracted the maximum FDI inflow to India amid the Covid-19 pandemic. Practical implications: The study recommended that a cohesive policy that further strengthens FDI by identifying and creating incentives for other main industrial sectors could further promote the continued attractiveness of FDI to India. Originality/value: the current study is an original contribution in the field of FDI inflow in India amid the COVID pandemic.

14.
Social Sciences ; 53(1):4, 2022.
Article in English | ProQuest Central | ID: covidwho-1811832

ABSTRACT

This article examines the main civilizational features of Russia's development and their role in the modern socio-political transformations of Russian society. These features, according to the author, include the leading role of the state in the implementation of development projects and resource mobilization;uneven socio-political development in time and space (development of society by fits and starts);multiple conflicting tendencies in social dynamics;and periodic change of cultural and geopolitical vectors of development caused by social divisions and cleavages. The author attributes many of these features to the fact that Russia occupies an intermediate geographical, geopolitical and cultural-civilizational position between the Western and Eastern civilizations. The author argues that mere uncritical borrowing and copying of Western political institutions without reconfigurng and adapting them to the conditions of modern Russia will either make these institutions less effective or seriously distort them. He concludes that in developing and implementing socio-political and economic projects, it is essential to take into account both the general civilization features of Russia and the internal Russian regional and local specifics, local socio-cultural norms and traditions, since ignoring them may undermine the main social, cultural and value structures of Russian society. Further, amid today's global socio-political transformations and the numerous challenges associated with them, it is extremely important for successful socio-political development to organically combine traditions with the necessary social innovations. However, as shown in the article, present-day Russia does not have such an organic combination, and this is a serious hindrance to socio-economic and cultural development. This prompts the need to combine centralized planning and the implementation of federal development projects with the initiatives and proposals of local and regional communities, to take into account not only regional and local bureaucratic structures, but also "grassroots" initiatives coming from groups of active citizens and from public organizations, volunteers and so on. The author comes to the conclusion that this is especially important in light of the ongoing COVID-19 pandemic and the crisis socio-economic and political phenomena it causes.

15.
Sustainability ; 14(8):4742, 2022.
Article in English | ProQuest Central | ID: covidwho-1810161

ABSTRACT

This article aims to substantiate the factors by which the oil industry influences the sustainable development of OPEC++-participating countries under conditions of uncertainty. The impact of the price parameters of the world oil market and the tools of its regulation on the sustainability of OPEC++-participating countries was assessed using panel regression analysis. The sustainable development level of OPEC++-participating countries was analyzed by the integrated estimation method, focusing on crude oil market functioning features. Undoubtedly, we can testify that there is a direct correlation between the country’s level of socio-economic development and sustainable development. In resource economies, a reduction in oil production and exports cannot have the same effect on sustainable development as in countries that do not produce oil, or are characterized by a higher level of economic development. With an appropriate level of economic diversification and the effectiveness of the institutional framework for managing the oil market, sustainable development can be achieved. Based on the model of the integrated assessment of the sustainable development of oil-exporting countries, the impact of statistically significant financial investors’ panic factor on the imbalance of oil prices due to the uncertainty of economic development was determined. Key indicators that create a panic factor in the oil market were identified. These include the indicators of the number of countries enforcing lockdown and the pandemic’s duration. We argue for the need to develop an effective strategy for achieving the sustainable development goals (SDGs) in OPEC++-participating countries, based on the management of crude oil supply and demand forces and by considering the effect of financial investors’ panic factor on the oil market.

16.
Sustainability ; 14(8):4693, 2022.
Article in English | ProQuest Central | ID: covidwho-1810155

ABSTRACT

There is beyond any doubt that Latin America is one of the most important emerging markets in the world, which has increased its importance in the last decades. In effect, the issues of green, social, and sustainability (GSS) bonds are gaining more and more importance in the Latin American and the Caribbean (LAC) financial markets. They are specifically focused on raising funding for public expenditure programs that contribute to achieving several objectives, such as climate and environmental projects, energy efficiency, pollution prevention, sustainable agriculture, fishery and forestry, etc. The main objective of this paper is to provide a literature revision of the evolution of the issuance of GSS bonds in the LAC region and to analyze the economic growth of the countries which issue this type of bond. We will apply multiple linear regression to relate the economic growth of some countries of the LAC region with the variables proposed by the IFC Emerging Market Green Bonds Report (2019). It has been shown that the economic growth of the countries in the LAC region that are issuing GSS bonds is significantly related to the Sovereign Green Issuance (Total Planned), the ratio of Private Credit/GDP, and the Rule of Law Index. However, this research has had the limitation of the scarcity of available data in the LAC markets.

17.
Sustainability ; 14(8):4614, 2022.
Article in English | ProQuest Central | ID: covidwho-1810146

ABSTRACT

This study aims to investigate the differences in the learning path and value between students of different genders and educational backgrounds in digital game-based learning in Taiwan’s higher vocational education. A game-based digital Supply Chains Learning System was used to explore the value network based on “system attributes—learning consequences—target value” from the perspective of the student. To investigate the research question, this study conducted a cross-analysis of differences in gender and education background. Findings from the study revealed that irrespective of gender and educational background in higher vocational education in Taiwan, students developed distinctively different learning paths, values, and emphasis from specific system attributes. These findings will not only enable trainers and educators to learn more about the differences in learning by individuals but will also serve as useful guidelines for the improvement of the teaching strategy used by digital games developers.

18.
Sustainability ; 14(8):4598, 2022.
Article in English | ProQuest Central | ID: covidwho-1810143

ABSTRACT

Empirical research has aimed to substantiate the institution–food security nexus. However, institutional literature has largely overlooked the relationship between institutions and the sustainable development goal of zero hunger (SDG2). SDG2 is a multidimensional goal that extends beyond food security and requires comprehensive investigation. Therefore, this study explored the role of institutions in promoting SDG2 achievement using a panel dataset spanning 108 countries from 2000 to 2019. The institutional impact was evaluated using worldwide governance indicators, and the International Country Risk Guide (ICRG)’s political risk ratings. Simultaneous equation modeling was used as the estimation technique. According to the results, institutions showed a positive and highly significant association with SDG2 performance. All the dimensions of good governance promoted SDG2 performance. Except for maintaining law and order, all other dimensions of political risk indicators were found to improve SDG2 performance. This study also discovered significant evidence that voice and accountability, as well as the settlement and the prevention of conflicts, had the most substantial influences on SDG2 achievement. In developing countries, improving both the quality of governance and political stability had a comparatively higher impact on SDG2 performance than in developed countries. Furthermore, institutions showed a significant mediating impact on SDG2 performance via agricultural productivity and economic growth. Based on these findings, this study concluded that the pursuit of good governance and inclusive institutions could be instrumental in achieving SDG2.

19.
Sustainability ; 14(8):4562, 2022.
Article in English | ProQuest Central | ID: covidwho-1810141

ABSTRACT

Oil prices and rapidly increasing urbanization could have a long-lasting impact on the environment in oil-abundant Gulf Cooperation Council (GCC) countries. Therefore, the environmental role of oil price, economic growth, and urbanization on CO2 emissions should be tested. The present study investigates the impact of oil price, economic growth, and urbanization on CO2 emissions in those countries, considering asymmetrical relationships. For this purpose, a nonlinear autoregressive distributive lag cointegration approach is applied in GCC countries during the 1980–2019 period, and cointegration is corroborated in all investigated models. Long-run results show that rising economic growth positively affects CO2 emissions in Kuwait, Oman, Qatar, and Saudi Arabia. Decreasing economic growth positively affects CO2 emissions in Bahrain, Kuwait, Qatar, and the United Arab Emirates (UAE). Moreover, the rising oil price has a positive impact on CO2 emissions and shows a scale effect in Oman, Qatar, and Saudi Arabia. Moreover, it has a negative effect and corroborates technique and composition effects in Kuwait and the UAE. Further, decreasing oil prices has a positive impact on CO2 emissions in Bahrain and has a negative effect in Kuwait and the UAE. Lastly, urbanization positively affects CO2 emissions in Bahrain, Oman, Qatar, and the UAE. Economic growth is found asymmetrical in all GCC countries, and the asymmetrical effect of oil price is also observed in all GCC countries except the UAE.

20.
Sustainability ; 14(8):4408, 2022.
Article in English | ProQuest Central | ID: covidwho-1810131

ABSTRACT

Gross domestic product (GDP) is an important index reflecting the economic development of a region. Accurate GDP prediction of developing regions can provide technical support for sustainable urban development and economic policy formulation. In this paper, a novel multi-factor three-step feature selection and deep learning framework are proposed for regional GDP prediction. The core modeling process is mainly composed of the following three steps: In Step I, the feature crossing algorithm is used to deeply excavate hidden feature information of original datasets and fully extract key information. In Step II, BorutaRF and Q-learning algorithms analyze the deep correlation between extracted features and targets from two different perspectives and determine the features with the highest quality. In Step III, selected features are used as the input of TCN (Temporal convolutional network) to build a GDP prediction model and obtain final prediction results. Based on the experimental analysis of three datasets, the following conclusions can be drawn: (1) The proposed three-stage feature selection method effectively improves the prediction accuracy of TCN by more than 10%. (2) The proposed GDP prediction framework proposed in the paper has achieved better forecasting performance than 14 benchmark models. In addition, the MAPE values of the models are lower than 5% in all cases.

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