bluuebunny/crossref_metadata_2025 huggingface dataset:
Cold Chain Logistics Distribution Path Planning of Fresh Products in Beijing Subcenter
Authors: Li Feng , Ai Wenjing , Ju Tianli
Published: August 2022

With the gradual development of a capital city subcenter, numerous residents gradually move to the subcenter, increasing the demand for fresh food. Thus, an adequate supply of fresh food to the subcenter should be guaranteed, while reducing the logistics costs, maintaining the quality and quantity, complying with sustainable development, and cooperating with the city to complete the food basket logistics and distribution. Accordingly, we propose the optimization of logistics distribution paths for fresh products. After field research, we found that the main fresh product distribution point in the Beijing subcenter is the Baliqiao wholesale market, one of Beijing’s vegetable basket projects, and the main distribution targets are large- and medium-sized markets in the subcenter. We optimize a fresh food distribution path model using minimum total cost and carbon emissions as the objective function according to the layout of the subcenter, and the best path is determined using improved ant colony optimization. The optimization results provide a basis for fresh food distribution in the capital city subcenter. We use scientific methods to analyze the travel routes of vehicles transporting fresh products in the subcenter to obtain the best distribution path for logistics companies, aiming to reduce the waste of resources and pollution to the environment by reducing the overall distribution costs and carbon emissions. Therefore, this type of study can benefit logistics companies and the subcenter population while contributing to sustainable development.
Can International Students’ Risk Perception and Place Image Create an Advantage in Safeguarding Place Loyalty in Post-COVID-19 Tourism?
Authors: Lee Nahyun , Kim Bong-Seok
Published: August 2022

International students enrolled in the long term are considered habitual residents. They act as hosts to their friends and relatives, generating word-of-mouth recommendations and revisiting the host country. In order to facilitate inbound tourism in post-COVID-19 tourism, it is necessary to understand their risk perception, place image, and loyalty and provide meaningful insights for tourism markets. This study explores how social and personal risk perception of COVID-19 and cognitive and affective place image explain place loyalty. International students for degree programs comprised the sample population for this study. Findings revealed that social risk perception negatively shapes cognitive and affective place image, while personal risk perception only explains affective place image. Both cognitive and affective place image significantly affects place loyalty and mediates between social risk perception and place loyalty. The research provides new evidence on the risk perception of COVID-19, showing that internal factors such as social and personal risk perception may cause somewhat different results contrary to previous studies. Although gender moderates the relationship between cognitive place image and loyalty, the influence of gender on the theoretical and empirical relationships between risk perception, place image, and loyalty is not significant for international students. Implications for theory and practice, limitations, and future studies are discussed.
Assessment of Spatial-Temporal Changes of Landscape Ecological Risk in Xishuangbanna, China from 1990 to 2019
Authors: Liu Yun , Xu Weiheng , Hong Zehu , Wang Leiguang , Ou Guanglong , Lu Ning
Published: August 2022

Xishuangbanna is a major natural rubber and tea production base in China and a national nature reserve with the best-preserved tropical ecosystem. However, the extensive exploitation and use of land resources impact the land use/land cover (LULC) and the processes of regional landscape ecology, further causing a battery of ecological and environmental problems. It is necessary to evaluate landscape ecological risk objectively and quantitatively for improving the ecological environment and maintaining ecological balance. First, this study selected China Land Cover Dataset (CLCD) to analyze the changes in LULC. Second, we constructed the landscape ecological risk index (ERI) using LULC changes based on Google Earth Engine (GEE) platform. Third, the spatial-temporal pattern and spatial autocorrelation of landscape ecological risk were assessed in our study area. The results showed that the significant change in LULC was that the areas of cropland increased, and the areas of forests decreased during 1990–2019; the forests of a total area of 859.93 km2 were transferred to croplands. The landscape ecological risk kept a low and stable level from 1990 to 2019, more than 75% of the study area remained at the lower or lowest risk level, and in about 70% of the total study area, the ERI level maintained stability. In addition, the landscape ecological risk of the Xishuangbanna increased during 1990–2010 and decreased during 2010–2019. The ecological risk was a significant spatial autocorrelation and has been an aggregation trend in space from 1990 to 2019. Our research can identify key risk areas and provide a reference for the management and sustainable use of land resources, which promotes the understanding of landscape ecological risk and sustainable development of the ecological environment.
Carbon Intensity of Passenger Transport Modes: A Review of Emission Factors, Their Variability and the Main Drivers
Authors: Noussan Michel , Campisi Edoardo , Jarre Matteo
Published: August 2022

The transport sector is responsible for a significant amount of global carbon emissions, and several policies are being implemented at different levels to reduce its impact. To properly assess the effectiveness of planned measures, analysts often rely on average emission factors for different transport modes. However, average values often hide significant variability that stems from factors along the entire supply chain of transport modes. This review presents a comprehensive overview of research on this topic, comparing emission factors for different passenger transport modes and discussing the main drivers and parameters that affect their variability. The results are useful for researchers and policymakers to properly understand the reliability of carbon intensity indicators when evaluating the impact and effectiveness of sustainable transport policies.
Perceptions of Self-Motives and Environmental Activists’ Motives for Pro-Environmental Behavior
Authors: Geiger Nathaniel
Published: August 2022

The manuscript presents a thematic analysis of a U.S. adult sample’s self-reported motives and perception of environmental activists’ motives to engage in pro-environmental behavior via a qualitative online survey. I identified themes using a two-stage coding procedure. First, undergraduate research assistants coded all content into 1 or more of 17 inductive content categories. Second, I examined the categories and created five themes based on both inductive and theoretical considerations: (a) harm and care, (b) purity, (c) waste and efficiency, (d) spreading awareness, and (e) self-interest (mostly non-financial). Some themes (harm and care; preserving purity; and self-interest) were consistent with previous research and theory, but themes of waste and efficiency and spreading awareness have been less explored by previous work as key motivators of pro-environmental behavior, suggesting ripe avenues for future research. Conversely, some factors that have been proposed by previous research as key possible motives of pro-environmental behavior were not described by participants in the present work. The endorsement of themes was qualitatively similar across individuals’ descriptions of their own vs. environmental activists’ motives. Collectively, these findings suggest that individuals’ descriptions of common motives for pro-environmental behavior partially aligns with factors commonly proposed in environmental psychology literature, but key discrepancies warrant further investigation.
Intellectual Capital and Financial Performance of Chinese Manufacturing SMEs: An Analysis from the Perspective of Different Industry Types
Authors: Liu Lujing , Zhang Jiyue , Xu Jian , Wang Yiqun
Published: August 2022

In the knowledge era, intellectual capital (IC) has been recognized as the determinant of firm performance. The main goal of the current study is to analyze the relationship between IC and its elements and financial performance of Chinese manufacturing small and medium-sized enterprises (SMEs). We also examine whether industry type has an impact on this relationship. This study uses the data of 588 Chinese listed SMEs in the manufacturing industry between 2015 and 2020 and employs the modified value-added intellectual coefficient (MVAIC) model to assess IC. The results show that IC improves SMEs’ financial performance, and physical and human capitals are the main contributor. In addition, the impact of IC and its elements on the financial performance of Chinese manufacturing SMEs is different in different types of industries. Specifically, capital-intensive SMEs have a greater impact of IC on financial performance than labor- and technology-intensive SMEs; labor-intensive SMEs have a higher efficiency of physical capital, while technology-intensive SMEs have higher human capital efficiency. The findings could help SMEs’ managers improve corporate performance by the effective utilization of their IC.
The Impact of Digital Technology Use on Passive Entrepreneurial Exit in Rural Households: Empirical Evidence from China
Authors: Wang Yiran , Cai Zhijian , Wang Jie
Published: August 2022

To reduce the passive entrepreneurial exit of rural families and improve the quality of rural entrepreneurship, we theoretically discuss how digital technology can help rural families to obtain resources in the process of entrepreneurship from a micro perspective to inhibit the passive entrepreneurial exit, and perform an empirical test by using the data of three consecutive periods of China’s household finance survey in 2015, 2017, and 2019. The results show that: First, digital technology use has a significant inhibitory effect on the passive entrepreneurial exit of rural families. Second, the role of digital technology lies in effectively improving the social capital, human capital, and financial capital of entrepreneurial families, thus inhibiting the passive entrepreneurial exit of rural families. Third, the role of digital technology is related to the development level of village social networks and county economic development levels. The average marginal effect of data technology in villages or counties with high development levels is higher. The policy implications are as follows: We should accelerate the improvement of rural digital infrastructure construction, accelerate the expansion of digital services for the people, and enhance the ability of farmers to use digital technology while increasing policy support for farmers’ entrepreneurship.
Mental Health Screening during COVID-19 Pandemic among School Teachers in Malaysia: A Cross-Sectional Study
Authors: Maung Theingi Maung , Tan Sing Ying , Tay Chai Li , Kabir Mohammed Shahjahan , Shirin Lubna , Chia Tan Yong
Published: August 2022

(1) Background: The teaching profession has become more challenging due to the increased use of information technology, which potentially increases psychological distress among teachers. This study aimed to determine the prevalence of depression, anxiety, and stress among school teachers in Malaysia during the period of the COVID-19 pandemic and its associated sociodemographic factors. (2) Methods: A cross-sectional study was conducted among primary and secondary school teachers in Malaysia. A validated DASS-21 questionnaire was used for mental health screening, and the study was conducted online during the pandemic period. (3) Results: The percentages of respondents with mild, moderate, severe, and extremely severe depression were 12%, 9.7%, 4.7%, and 3.1%, respectively. Those with mild, moderate, severe, and extremely severe anxiety accounted for 11.5%, 12.3%, 6.3%, and 6%, respectively. Those with mild, moderate, severe, and very severe stress accounted for 12.8%, 12%, 5.3%, and 2.5%, respectively. Perceived overworking was significantly greater during the pandemic compared to before the pandemic. Significant experience in teaching, and less perceived overworking before and during the pandemic were associated with better mental health. (4) Conclusions: Periodic mental health screening for teachers may be beneficial in preventing mental health disorders and improving the quality of student education. A full assessment and innovation of the curriculum and workload should be implemented.
Applying of Positive Deviance Approach to Promote Young Adults’ and Adolescents’ Health: A Literature Review
Authors: Sarnkhaowkhom Chawapon , Phonsuk Payao , Santre Siriporn , Suksatan Wanich
Published: August 2022

The positive deviance approach assumes that a community’s problems have already been solved. ‘Positive deviants’ succeed despite sharing many of the same constraints as others. Positive deviance, which has its roots in international public health, is increasingly being applied to healthcare, with a various-stage process proposed depending on the setting. However, the quality of current healthcare applications varies, and at each stage of the process, different study designs and methods are used. This paper aims to identify the definition and process of the positive deviance approach and summarize this approach in healthcare and health promotion to promote young adults’ and adolescents’ health. Additionally, examples of interventions based on a positive deviance approach to improve young adults’ and adolescents’ health and recommendations for further studies are also presented.
Investigating the Association between Algorithmic Thinking and Performance in Environmental Study
Authors: Kanaki Kalliopi , Kalogiannakis Michail , Poulakis Emmanouil , Politis Panagiotis
Published: August 2022

Presently, computational thinking (CT) is considered necessary for adapting to the future. Concurrently, the COVID-19 pandemic has accentuated the demand for strengthening Environmental Education as a means to improve sustainability and stimulate environmental protection and public health. Having in mind that CT does not concern only technocrats but also applies in solving everyday problems, we introduce the novel idea of the synergistic learning of CT and Environmental Study. Thus, our research aim is to explore the correlation between algorithmic thinking (AT), as a fundamental CT competency, and educational achievements in the Environmental Study course during the early primary school years. Towards this end, we implemented a quantitative research study, employing an innovative assessment framework we propose. The adoption of cluster sampling eventuated in a sample of 435 students. The exploitation of ordinal logistic regression analysis and machine learning method validated the correlation of the two fields and pointed out that AT levels constitute a predictive factor for performance in the Environmental Study course and vice versa. These results support the novel idea of concurrently cultivating environmental consciousness and CT and build a robust base for future studies that will focus on providing an ecological reflection on CT activities.
White-Tailed Eagle Algorithm for Global Optimization and Low-Cost and Low-CO2 Emission Design of Retaining Structures
Authors: Arandian Behdad , Iraji Amin , Alaei Hossein , Keawsawasvong Suraparb , Nehdi Moncef L.
Published: August 2022

This study proposes a new metaheuristic optimization algorithm, namely the white-tailed eagle algorithm (WEA), for global optimization and optimum design of retaining structures. Metaheuristic optimization methods are now broadly implemented to address problems in a variety of scientific domains. These algorithms are typically inspired by the natural behavior of an agent, which can be humans, animals, plants, or any physical agent. However, a specific metaheuristic algorithm (MA) may not be able to find the optimal solution for every situation. As a result, researchers will aim to propose and discover new methods in order to identify the best solutions to a variety of problems. The white-tailed eagle algorithm (WEA) is a simple but effective nature-inspired algorithm inspired by the social life and hunting activity of white-tailed eagles. The WEA’s hunting is divided into two phases. In the first phase (exploration), white-tailed eagles seek prey inside the searching region. The eagle goes inside the designated space according to the position of the best eagle to find the optimum hunting position (exploitation). The proposed approach is tested using 13 unimodal and multimodal benchmark test functions, and the results are compared to those obtained by some well-established optimization methods. In addition, the new algorithm automates the optimum design of retaining structures under seismic load, considering two objectives: economic cost and CO2 emissions. The results of the experiments and comparisons reveal that the WEA is a high-performance algorithm that can effectively explore the decision space and outperform almost all comparative algorithms in the majority of the problems.
Enabling Factors of NTFP Business Development for Ecosystem Restoration: The Case of Tamanu Oil in Indonesian Degraded Peatland
Authors: Ulya Nur Arifatul , Martin Edwin , Rahmat Mamat , Premono Bambang Tejo , Malau Leo Rio Ependi , Waluyo Efendi Agus , Imanullah Andika , Lukman Abdul Hakim , Asmaliyah  , Armansyah  , Saputra Dani , Hadi Etik Erna Wati , Azwar Fatahul , Siahaan Hengki , Purwanto  , Damanik Mario , Nuralamin  , Anjani Raissa , Cahyono Sigit Andy , Utami Sri , Agustini Sri
Published: August 2022

Indonesia’s tropical peatlands are one of the world’s largest carbon sinks, and they are facing the threat of extensive degradation and conversion. The Indonesian government is committed to peat restoration. However, restoration is still a costly, top-down approach lacking community participation, and is focused on the 3R scheme (rewetting, revegetation, and revitalization). Peatland restoration businesses are part of the innovative effort to finance this endeavor. Unfortunately, there is not much information available about the pre-conditions required to create a restoration business. This study seeks to understand the enabling conditions for the development of peatland restoration, with a focus on the tamanu oil business, and to assess whether the same situation might apply in the context of the restoration of degraded peatland. PEST analysis is used to describe the macro-environmental factors of the tamanu oil business and its development opportunities in degraded peatlands. Tamanu oil-based peat ecosystem restoration businesses offer good prospects because of the growing it has grown the bioenergy and biomedical markets, and they can cover a larger area of degraded peatland landscape. For tamanu oil businesses to succeed in peat ecosystem restoration, we recommend that policy documents at various levels include tamanu as a priority commodity for peatland restoration and alternative community businesses, followed by planting programs by all stakeholders. The government and social organizations must take positions as initiators and catalysts, establish a significant number and extent of pilot tamanu plantations, and create a mutually supportive business climate between entrepreneurs and peatland managers.
The Assessment of Future Air Temperature and Rainfall Changes Based on the Statistical Downscaling Model (SDSM): The Case of the Wartburg Community in KZN Midlands, South Africa
Authors: Ncoyini-Manciya Zoleka , Savage Michael J.
Published: August 2022

The agriculture sector in Africa is dominated by small-scale farmers who account for about 80% of the total farms. However, small-scale farmers are vulnerable to climate change and climate variability. Their high susceptibility to climate change emanates from their inadequate ability to adapt to climate change. As a result, small-scale farmers are generally adversely impacted by climate change due to over-reliance on rainfed agriculture and natural resources. This exposure and susceptibility, however, differ across the regions due to the heterogeneity in topography, climate, access to resources, farmer resilience and adaptation capacity. Therefore, site-specific studies are encouraged to increase the awareness, resilience and adaptation capacity at the local level. The study intends to analyse historical climate (air temperature and rainfall) data from a weather station that has not been employed for climate change studies and project possible future changes in the same climate parameters due to global warming for a localised agricultural community within the sugarbelt region of KwaZulu-Natal, South Africa. The study focuses mainly on air temperature and rainfall changes to inform local farmers about potential climate changes and possible impacts of the projected climate changes on the local agricultural productivity. This study was conducted in the KwaZulu-Natal midlands of South Africa, and the Representative Climate Pathways (RCP8.5 and RCP4.5) climate projection of the CanESM2 model were used for the projection of future air temperature and rainfall trends for the 2020s, the 2040s and the 2080s. According to the results, both minimum and maximum air temperatures will continue to increase for the entire study period. The RCP8.5 results indicate that maximum and minimum air temperatures will reach a maximum range of 1.72 to 3.14 °C and 1.54 to 3.48 °C, respectively. For the rainfall, the model projects a positive trend, although all the scenarios predict a declining trend for the near future (2020s) and an increase in the 2050s. These results indicate that, in the absence of adaptation the risk of small-scale farmers, particularly for sugarcane, which is largely planted in the area, the production losses will heighten and hence increase the likelihood of increased poverty, food insecurity and unemployment.
Entrepreneurial Competency, Financial Literacy, and Sustainable Performance—Examining the Mediating Role of Entrepreneurial Resilience among Saudi Entrepreneurs
Authors: Seraj Abdullah Hamoud Ali , Fazal Syed Ali , Alshebami Ali Saleh
Published: August 2022

This paper investigated the influence of entrepreneurial competency and financial literacy on sustainable small enterprise performance. We simultaneously investigated the mediating role of entrepreneurial resilience on the association between competence and financial literacy with sustainable business performance. We used a quantitative method for collecting data from 220 small business entrepreneurs in Saudi Arabia using an online questionnaire. The collected data were analysed with the help of PLS-SEM. The results reveal that financial literacy significantly positively affects entrepreneurial competency and resilience. Entrepreneurial competency has a significant positive effect on Saudi SMEs’ entrepreneurial resilience and sustainable performance. Finally, entrepreneurial resilience was simultaneously found to have a considerable impact on sustainable performance while mediating the effect of financial literacy and competency on sustainable performance across Saudi SMEs. In line with Saudi Vision 2030, with its profound focus on entrepreneurship and developing a financially independent entrepreneurial community, this research contributes to creating economic opportunities for local entrepreneurs managing small enterprises. Apart from extending the body of knowledge, this research can support policymakers in formulating relevant strategies to encourage SMEs that have been worst hit by the COVID-19 pandemic to perform sustainably. Several other implications for financial institutions and entrepreneurs have also been drawn.
The Efficiency of the Chinese Prefabricated Building Industry and Its Influencing Factors: An Empirical Study
Authors: Shang Zufeng , Wang Fenglai , Yang Xu
Published: August 2022

China is a world leader in capital construction. In the construction field, the shift toward prefabricated construction has become an important path for industrial transformation. This paper refers to the development of the prefabricated building industry in China, and uses input and output perspectives to examine its efficiency. It builds a data envelopment analysis model to evaluate the efficiency of the prefabricated building industry in China at both the micro and macro levels, and uses the Tobit model to empirically analyze the factors that influence this industry’s efficiency. It finds that the country’s prefabricated building industry has a moderate micro-level efficiency. This means that it is necessary to further rationalize industrial planning; strengthen technological innovation; and improve standardization, mechanization, and automation levels. At the macro level, China’s prefabricated buildings have a low industrial efficiency and remain at the initial stage of industrial development. A series of problems, such as small industrial scale and unsound policies, are restricting the industry’s rapid and efficient development. We propose several countermeasures and suggestions for the (micro- and macro-level) sustainable development of the prefabricated building industry in China, and anticipate that this will have implications for this industry’s worldwide development.
Assessing the Benefit Produced by Marine Protected Areas: The Case of Porto Cesareo Marine Protected Area (Italy)
Authors: Visintin Francesca , Tomasinsig Elisa , Spoto Maurizio , Marangon Francesco , D’Ambrosio Paolo , Muscogiuri Luciana , Fai Sergio , Troiano Stefania
Published: August 2022

The article focuses on the integrated environmental accounting model called ‘eValue’, developed for protected areas and applied in the research programme coordinated by the Italian Ministry of the Environment and aimed at implementing an environmental accounting system for Italian Marine Protected Areas (MPAs). eValue adopts a cost-benefit analysis approach. Financial accounting based on costs and revenues is integrated with environmental accounting, which reflects environmental costs and environmental revenues, i.e., environmental benefits. The environ-mental costs assess the impacts related to human activities in the MPA expressed by calculating the carbon footprint and the environmental benefits of the marine ecosystem services calculated by applying monetary valuation techniques. The values thus estimated flow into the annual flow account, where the value produced (or consumed) by the MPA is estimated by difference. The eValue model was applied to the Porto Cesareo MPA (Italy). eValue showed that the annual benefit-cost ratio reaches a value of 3.4. Furthermore, the ratio of net benefit to public funding is 3.7, completely covering the number of public transfers and thus summarizing the MPA overall value for money.
Grain Yield and Gross Return above Fertilizer Cost with Parameters Relating to the Quality of White Rice Cultivated in Rainfed Paddy Fields in Cambodia
Authors: Khema Srun , Rin Soriya , Fujita Akiko , Kong Kea , Ngin Chhay , Kano-Nakata Mana , Yamauchi Akira , Ehara Hiroshi
Published: August 2022

This study aims to compare the grain yield, gross return above fertilizer cost (GRAFC: (paddy sales)–(fertilizer cost)), and several parameters relating to the quality of white rice cultivated with different soil-specific nutrient management in 14 provinces where different soil types are distributed. The grain yield tended to increase with increased fertilizer application; however, the relationship between the fertilization rate and the yield was not linear in areas where clay soil dominates. In cases of popular varieties cultivated from the northern to southern province, the amount of fertilizer applied was up to 163 kg ha−1 (sum of N-P2O5-K2O), and the GRAFC and the fertilization rate showed a nonlinear relationship, with a peak of around 120 kg ha−1 fertilization. The nitrogen concentration recognized as a negative factor for the quality of rice tended to increase with an increasing fertilization rate, and the carbohydrate concentration and carbohydrate/protein ratio that are a positive factor for the quality were related negatively with the fertilizer rate. The amylopectin concentration in white rice was positively related with the carbohydrate concentration, which decreased with an increasing fertilization rate. The levels of fertilizer application required to achieve a higher yield, GRAFC, and the maintenance and improvement of parameters relating to grain quality were different.
A Comprehensive Evaluation Method for the Service Status of Groins in Waterways Based on an AHP-Improved CRITIC Combination Weighting Optimization Model
Authors: Zhang Fan , Wang Pingyi , Mu Ping , Wang Meili , Han Linfeng , Sun Jianle
Published: August 2022

A comprehensive evaluation model that combines an analytical hierarchy process (AHP) method and the improved version of the Criteria Importance Through Inter-criteria Correlation (CRITIC) method is proposed to solve integrated assessment problems related to the service status of groins in waterways. In view of the influencing factors and functional characteristics of damaged groins for waterway regulation, a waterway groin service status (WGSS) evaluation index system with a hierarchical structure was constructed using target-criteria elements. Additionally, based on the multi-attribute characteristics of the indicators, standards for rating and assigning values to elemental indicators were developed. Considering that traditional empowerment methods are rather one-sided and limited, an AHP-improved CRITIC method combination assigning optimization model was established based on the least squares principle, and the optimal combination weights were solved by the Lagrange multiplier method. The reliability and applicability of the model were tested by successfully applying the evaluation model to the comprehensive evaluation of the service status of spur dikes in the upper reaches of the Yangtze River. The results showed that the combined weights that were calculated by the AHP and the improved CRITIC optimization model were able to reflect both subjective and objective information, which makes up for the shortcomings of a single assignment method, and the weights assigned to the service status evaluation indexes for groins were reasonable. The comprehensive evaluation method to determine the service status of groins proposed in this paper was more accurate than the traditional evaluation method with subjective assignment and provided a scientific basis for decision making to maintain the sustainability of groin function.
Perspectives on Smart Villages from a Bibliometric Approach
Authors: Rahoveanu Maria Magdalena Turek , Serban Valentin , Zugravu Adrian Gheorghe , Rahoveanu Adrian Turek , Cristea Dragoș Sebastian , Nechita Petronela , Simionescu Cristian Silviu
Published: August 2022

We are going through a period in which the concept of the smart village (SV) is a novelty for the management of a community, and the new smart economy of the village is based on the power of community support. Appropriately, the development of a SV is related to a family’s participation in the motivation and access to education, the increase in knowledge of information technology, information and communications technology (ICT) literacy, and also in the creation of facilities for research and development (R&D). The partnership between the public administration, the private sector, and the community heads will lead to a smart economy within the village. At the same time, the intervention of the food system to support climate change can be supported by intelligent agriculture. The SV has a strong social significance; research in the field can be multidisciplinary, including human nutrition, climate change, and community education. This paper aims to X-ray the research areas of the SV from a multidisciplinary sense, in support of the partnership with the community, and to identify the main directions of strategic development. In total, 368 pieces of research on SVs from the last ten years were analyzed through bibliometric analysis using VOSviewer software, doubled by the co-occurrence of keywords and the bibliometric combination of documents, followed by a systematic review of the literature. The research undertaken was intended to contribute to the development of research for SVs, with the analysis of identified clusters. The results obtained will have a special contribution at the SV level through strategic and research proposals and suggest that the most important strategic and research directions for SVs focus on community education, its satiety, as well as several environmental and social changes generated by SVs.
Sustainable Growth Rate Analysis in Eastern European Companies
Authors: Vuković Bojana , Tica Teodora , Jakšić Dejan
Published: August 2022

As a prerequisite for long-term strategic and financial planning, sustainable growth is a future-oriented concept that was based on the company’s long-term survival with value creation. The primary aim of this paper is to determine the indicators that have an influence on sustainable company growth rate during the five-year period of 2016 to 2020. Panel regression analysis was used in order to thoroughly analyze the sustainable growth variables. Our analysis was based on a sample of 675 observations of companies operating in the Eastern European market. The obtained results showed that liquidity and leverage have a negative impact on sustainable growth, while profitability has a positive impact on sustainable growth. The impact of these variables was statistically significant. The obtained results may serve as an effective company tool to improve the target sustainable growth rate. They provide support for the company’s management to improve its business and ensure healthy growth without major financial difficulties, as well as to promote a sustainable business that will increase the market value of the company. Moreover, all internal and external stakeholders will be provided with insight into the reality of growth plans and opportunities for future sustainable growth, which creates a basis for measuring a company’s business prosperity and predicting its long-term performance.
Evaluation and Countermeasures of High-Quality Development of China’s Marine Economy Based on PSO-SVM
Authors: Gao Sheng , Sun Huihui , Wang Jingyi , Liu Wei
Published: August 2022

An accurate grasp of the high-quality development of the marine economy is important for the timely adjustment of marine policies and the promotion of sustainable development of the ocean. Based on the latest development philosophy, this paper constructed the evaluation index system of high-quality development of marine economy from five dimensions including innovation, coordination, green, openness, and sharing. The particle swarm optimization (PSO) algorithm and support vector machine (SVM) model based on the entropy weight composite index were employed to evaluate the high-quality development of China’s marine economy from 2006 to 2017. The spatial and temporal distribution characteristics and dynamic evolution mechanism were revealed. The random forest model was applied to analyze the main driving factors of high-quality development of the marine economy. It was found that: (1) The high-quality development level of marine economy in Guangdong, Shandong, Jiangsu, Zhejiang, and Shanghai has always been in the forefront. The growth rate of high-quality development level of marine economy in Guangdong and Shandong was 53.69% and 37.69%, respectively. The growth rates of Fujian and Hainan were 43.46% and 33.68%, respectively. Jiangsu and Zhejiang accounted for 33.30% and 24.47%, respectively. (2) The regulation methods of the main driving factors were examined. It was necessary to adhere to innovative development and improve the marine scientific research, education, management, and service industry, in addition by optimizing and adjusting the marine industrial infrastructure and spatial layout. It is also critical to strengthen the comprehensive prevention and control of land and sea pollution and implement the total emission control of pollutants into the sea. (3) Finally, the pathway for high-quality development of marine economy was analyzed and future directions were proposed.
Depopulated and Abandoned Areas in Serbia in the 21st Century—From a Local to a National Problem
Authors: Živanović Vedran , Joksimović Marko , Golić Rajko , Malinić Vladimir , Krstić Filip , Sedlak Marko , Kovjanić Aleksandar
Published: August 2022

Depopulated or abandoned spaces are a consequence of the emptying of settlements and the complete disappearance of the human factor in the use of space. The aim of this paper is to determine the size and structure of this space—clusters that can be considered abandoned at the regional level. In the focus of this paper is the space at the district level in Serbia, within which significant changes in land use occurred in the period 1990–2018. Time series of formal databases and data obtained by GIS tools were analysed in order to observe the changes in the structure of surfaces and to define the trend of merging or increasing the empty space during the last two decades. This paper analyses planning documents and strategies in order to determine with which problems the state identifies abandoned areas and what planning solutions are possible. A new method for calculating the homogenization of abandoned space is presented. The results indicate the homogenization of the abandoned space in the border regions in the south of Serbia, as well as major changes in land use, such as reforestation and reclamation of agricultural land.
Flying-Related Concerns among Airline Customers in Finland and Sweden during COVID-19
Authors: Leppävuori Joonas , Liimatainen Heikki , Baumeister Stefan
Published: August 2022

COVID-19 hit the global economy hard in early 2020, and airline industry was among the biggest commercial victims. Governments closed borders, the virus scared off travelers and the aircraft stayed on the ground to a large extent. The forecasted record year turned out to be the worst in the history of aviation. This study focused on the concerns of airline customers and analyzed the differences between the customer behavior in two focus markets, Finland and Sweden. The article is based on a questionnaire and the answers of 2004 airline customers. The results show that even though the overall COVID-19 strategy was very different between the focus markets, the same concerns still arose. The main concerns were related to quarantines and convenience of traveling, but health was also a major worry. The impact on climate change and public opinion were among the least concerning factors for most. The Swedes were less concerned about the quarantine upon returning, which may not be surprising due to their more liberal COVID-19 strategy at the time. Other attributes that were analyzed (gender, airline loyalty tier, age) suggest that females are categorically more concerned than males, the travel-related annoyances affect all travelers regardless of the tier and that travelers from different age groups are concerned about different aspects of traveling during a pandemic. The data gathering for this research was carried out in collaboration with Finnair, Finland’s national carrier.
Co-Inheritance of Heterozygous β0-Thalassemia with Single Functional α-Globin Gene: Challenges of Carrier Detection in Pre-Marital Screening Program for Thalassemia
Authors: Jalali Hossein , Karami Hossein , Mahdavi Mohammad Reza , Mahdavi Mehrad
Published: August 2022

This is a report of a couple with abnormal hematological indices who were investigated for α & β-thalassemia mutations. Based on CBC and capillary hemoglobin electrophoresis results, the male and female subjects were β & α-thalassemia carriers, respectively. Multiplex-Gap-PCR and Sanger sequencing techniques were used for the identification of mutations on α and β-globin genes. The DNA test showed the presence of c.315 + 1 G > A mutation on β-globin gene of male subject while the female case had – MED double gene deletion and c.427T > C mutation on α-globin and, interestingly, she was also a carrier for c.315 + 1 G > A mutation on β-globin gene. Cases with the coinheritance of heterozygous β0-thalassemia with one functional α-globin gene have normal HbA2 levels that may lead to their being misdiagnosed as β-thalassemia carriers, especially in premarital screening programs for thalassemia. Therefore, β-globin gene sequencing is recommended in cases with normal Hb electrophoresis and reduced hematological indices in premarital screening programs for thalassemia, especially in regions with a high frequency of β-globin mutations, in order to identify all the β-thalassemia carriers.
Examination of physical education and sport teachers' expectations and motivations from the teaching profession
Authors: Ahmet-Yıkılmaz Üyesi , Alıncak Fikret
Published: August 2022

Teachers are undoubtedly one of the indispensable elements of education and training. Considering today's conditions, teachers make a significant contribution to education. The effectiveness and efficiency of the education-teaching process are possible by providing quality education. Obtaining the necessary efficiency from the education-teaching process is only directly related to the satisfaction of the teachers in their profession and their motivation to teach. This study intends to analyze the expectations and motivation of physical education and sports teachers in the teaching profession. In the research study group, an interview has been utilized with thirty PE and sports instructors performing in schools affiliated with the Iğdır Provincial Directorate of National Education voluntarily. In this current study, with the use of the interview approach, the data acquired have been scrutinized with the aid of the content analysis measure. The results demonstrate that the teaching occupation is respected and sacred, a occupation that must be regarded and guides the society. In addition, the research group expects it is necessary to popularize the culture of physical education and sports in society, raise individuals who love sports, and eliminate the prejudice against physical education and sports lessons.
Studying syntactic features of advertising texts’ headings
Authors: Tkhorikov Boris A , Vinnik Alina E , Osadchaya Svetlana  M , Gerasimenko Olga A , Dolinsky Nikolai I
Published: August 2022

Technically, the primary objective of the advertising text is to handle behavioral scenarios and motivations of consumers. Hence, this present study makes an attempt to describe the outcomes of observations and a research to evaluate the perception of several advertising texts’ titles and headings. This survey involves twelve subjects, in which utilizing Pupil eyewear glasses and software from Pupil (Germany), the participants take a look at six various headings oriented to the right or left hemisphere of the brain. Based on the outcomes of analyzing the observations outcomes, the likelihood of boosting the attractiveness of the titles and headings via the utilization of syntax concentrated upon the preferential activation of a cerebral hemispheres wasn’t approved. Conclusions are made over the desirability of utilizing brief exclamation or unallocated sorts of promotional suggestions.
Correction of Vascular Calcification and Hyperphosphatemia in CKD Rats Treated with ASARM Peptide
Authors: Rowe Peter S. , McCarthy Ellen M. , Yu Alan L. , Stubbs Jason R.
Published: August 2022

Key Points

This study describes a novel drug treatment to prevent vascular calcification in patients with CKD and on dialysis.

For the first time, we describe a potential therapeutic to treat renal osteodystrophy and vascular calcification in CKD.

This study describes a novel therapeutic to prevent and possibly to treat calciphylaxis in patients with CKD and on dialysis.

Background

Abnormalities in calcium, phosphorus, PTH, vitamin D metabolism, bone, and vascular calcification occur in chronic kidney disease mineral bone disorder (CKD-MBD). Calciphylaxis, involving painful, ulcerative skin lesions, is also a major problem associated with CKD-MBD. There are no quality medical interventions to address these clinical issues. Bone ASARM peptides are strong inhibitors of mineralization and induce hypophosphatemia by inhibiting phosphate uptake from the gut. We hypothesize treatment of CKD-MBD rats with ASARM peptides will reverse hyperphosphatemia, reduce soft-tissue calcification, and prevent calciphylaxis.

Methods

To test our hypothesis, we assessed the effects of synthetic ASARM peptide in rats that had undergone a subtotal 5/6th nephrectomy (56NEPHREX), a rodent model of CKD-MBD. All rats were fed a high phosphate diet (2% Pi) to worsen mineral metabolism defects. Changes in serum potassium, phosphate, BUN, creatinine, PTH, FGF23, and calcium were assessed in response to 28 days of ASARM peptide infusion. Also, changes in bone quality, soft-tissue calcification, and expression of gut Npt2b (Slc34a2) were studied following ASARM peptide treatment.

Results

Rats that had undergone 56NEPHREX treated with ASARM peptide showed major improvements in hyperphosphatemia, blood urea nitrogen (BUN), and bone quality compared with vehicle controls. Also, ASARM-infused 56NEPHREX rats displayed improved renal, brain, and cardiovascular calcification. Notably, ASARM peptide infusion prevented the genesis of subdermal medial blood vessel calcification and calciphylaxis-like lesions in 56NEPHREX rats compared with vehicle controls.

Conclusions

ASARM peptide infusion corrects hyperphosphatemia and improves vascular calcification, renal calcification, brain calcification, bone quality, renal function, and skin mineralization abnormalities in 56NEPHREX rats. These findings confirm our hypothesis and support the utility of ASARM peptide treatment in patients with CKD-MBD.
Kinematics and Dynamics of a Particle in Gravitation Field
Authors: I Dubrovskyi
Published: August 2022

It is accepted that three-dimensional physical space is a hypersurface with a Riemannian metric in four-dimensional space. The metric tensor of this three-dimensional space is defined by Einstein's equations. Another coordinate of four-dimensional space is time. In this space, the equations of the world line of a particle with a mass m are defined under certain initial conditions: the starting point of the space and the vector of the particle's initial velocity. This approach removes all the problems and contradictions noted in the monograph [1], and the resulting equations adequately describe, for example, the curvilinear motion of planets without energy change.
Equilibrium Equation of Thermal Radiation of Earth and Solution
Authors: Yun Tian-Quan
Published: August 2022

The Earth is isolate on its orbit motion around the Sun. The thermal radiation on Earth determines climate warmer or colder. By Kirchhoff’s law, the thermal radian on Earth must be in an equilibrium state. Which equivalents to an optimum problem. This paper establishes an equilibrium equation of thermal radiation of Earth, transmits it to an optimum problem, and proves that the equilibrium of thermal radiation of Earth is an indifferent equilibrium, neither stable, nor un-stable, based on the Stefan-Boltzmann law and the emissivity formula. The result means that the climate neither getting warmer and warmer, nor getting colder and colder.
Modeling Supply Chains by Critical Paths and Leontief Input-Output Table
Authors: Light Gregory L.
Published: August 2022

We formulate a supply-chain problem by:(1)casting it in the model of critical-path analysis as defined by predecessor/successor relations, and (2)allowing for mutual dependency among the activity nodes and applying Leontief’s input-output structure.