bluuebunny/crossref_metadata_2025 huggingface dataset:
Big Data Analysis of the Key Attributes Related to Stress and Mental Health in Korean Taekwondo Student Athletes
Authors: Park Sung-Un , Jeon Jung-Woo , Ahn Hyunkyun , Yang Yoon-Kwon , So Wi-Young
Published: January 2022

In the present study, we used big data analysis to examine the key attributes related to stress and mental health among Korean Taekwondo student-athletes. Keywords included “Taekwondo + Student athlete + Stress + Mental health”. Naver and Google databases were searched to identify research published between 1 January 2010 and 31 December 2019. Text-mining analysis was performed on unstructured texts using TEXTOM 4.5, with social network analysis performed using UCINET 6. In total, 3149 large databases (1.346 MB) were analyzed. Two types of text-mining analyses were performed, namely, frequency analysis and term frequency-inverse document frequency analysis. For the social network analysis, the degree centrality and convergence of iterated correlation analysis were used to deduce the node-linking degree in the network and to identify clusters. The top 10 most frequently used terms were “stress”, “Taekwondo”, “health”, “player”, “student”, “mental”, “exercise”, “mental health”, “relieve”, and “child.” The top 10 most frequently occurring results of the TF-IDF analysis were “Taekwondo”, “health”, “player”, “exercise”, “student”, “mental”, “stress”, “mental health”, “child” and “relieve”. The degree centrality analysis yielded similar results regarding the top 10 terms. The convergence of iterated correlation analysis identified six clusters: student, start of dream, diet, physical and mental, sports activity, and adult Taekwondo center. Our results emphasize the importance of designing interventions that attenuate stress and improve mental health among Korean Taekwondo student-athletes.
Heat Flux and Thermal Characteristics of Electrically Heated Windows: A Case Study
Authors: Lee Ruda , Kang Eunho , Lee Hyomun , Yoon Jongho
Published: January 2022

Energy loss through windows can be high relatively compared to other opaque surfaces because insulation performance of fenestration parts is lower in the building envelope. Electrically heated window systems are used to improve the indoor environment, prevent condensation, and increase building energy efficiency. The purpose of this study is to analyze the thermal behaviors of a heated window under a field experiment condition. Experiments were conducted during the winter season (i.e., January and February) with the energy-efficient house that residents occupy. To collect measured data from the experimental house, temperature and heat flux meter sensors were used for the analysis of heat flow patterns. Such measured data were used to calculate heat gain ratios and compare temperature and dew point distribution profiles of heated windows with input power values under the changed condition in the operating temperature of the heated glazing. Results from this study indicated that the input average heat gain ratio was analyzed to be 75.2% in the south-facing and 83.8% in the north-facing at nighttime. Additionally, compared to January, reducing the operating temperature of the heated glazing by 3 °C decreased the input energy in February by 44% and 41% for the south-facing and north-facing windows, respectively. Through such field measurement study, various interesting results that could not be found in controlled laboratory chamber conditions were captured, indicating that the necessity of establishing various control strategies should be considered for the development and commercialization of heated windows.
Impact of Age on Takeover Behavior in Automated Driving in Complex Traffic Situations: A Case Study of Beijing, China
Authors: Gong Jianguo , Guo Xiucheng , Pan Lingfeng , Qi Cong , Wang Ying
Published: January 2022

Research on the influence of age on various automated driving conditions will contribute to an understanding of driving behavior characteristics and the development of specific automated driving systems. This study aims to analyze the relationship between age and takeover behavior in automated driving, where 16 test conditions were taken into consideration, including two driving tasks, two warning times and four driving scenarios. Forty-two drivers in Beijing, China in 2020 were recruited to participate in a static driving simulator with Level 3 (L3) conditional automation to obtain detailed test information of the recorded takeover time, mean speed and mean lateral offset. An ANOVA test was proposed to examine the significance among different age groups and conditions. The results confirmed that reaction time increased significantly with age and the driving stability of the older group was worse than the young and middle groups. It was also indicated that the older group could not adapt to complex tasks well when driving due to their limited cognitive driving ability. Additionally, the higher urgency of a scenario explained the variance in the takeover quality. According to the obtained influencing mechanisms, policy implications for the development of vehicle automation, considering the various driving behaviors of drivers, were put forward, so as to correctly identify the high-risk driving conditions in different age groups. For further research, on-road validation will be necessary in order to check for driving simulation-related effects.
Positive Organizational Practices, Life Satisfaction, and Psychological Capital in the Public and Private Sectors
Authors: Dirzyte Aiste , Patapas Aleksandras
Published: January 2022

Public and private sector employees confronted stressful life circumstances that affected the world during the COVID-19 pandemic. Therefore, new knowledge on possible psychological and organizational resources is needed. This study aimed to explore positive organizational practices, psychological capital, and life satisfaction of employees in the public and private sectors. The survey applied the Satisfaction with Life Scale (SWLS), the Psychological Capital Questionnaire—PCQ-24, validated in the Lithuanian population (the Lith-PCQ-21), and the Positive Organizational Practices Questionnaire. The sample consisted of 582 employees, including 443 public sector and 139 private sector employees. The respondents’ mean age was 42.0981 years (SD = 13.23083). The CFA results confirmed the six-factor structure of positive organizational practices, χ2 = 270,884.785; Df = 406; CFI = 0.996; TLI = 0.996; NFI = 0.995; RMSEA = 0.074 [0.070–0.078]; SRMR = 0.043, the four-factor structure of psychological capital, χ2 = 32,780.109; Df = 190; CFI = 0.983; TLI = 0.980; NFI = 0.978; RMSEA = 0.082 [0.076–0.088]; SRMR = 0.067, and one factor structure of life satisfaction, χ2 = 10,588.246; Df = 10; CFI = 0.999; TLI = 0.999; NFI = 0.999; RMSEA = 0.022 [0.000–0.066]; SRMR = 0.014. The findings revealed that private sector employees demonstrated higher scores of dignity, support, care, forgiveness, and overall positive organizational practices than public sector employees. Private sector employees demonstrated higher optimism scores than public sector employees, and public sector employees demonstrated higher self-efficacy scores than private sector employees. Male employees demonstrated significantly higher scores on dignity, meaning, and forgiveness than females. Significant positive correlations were found between age and resilience, care and age, care and number of working years, care and number of working years in the current organization. Psychological capital mediated the link between positive organizational practices and life satisfaction. Positive organizational practices were linked to life satisfaction and psychological capital in both employees’ groups, but the features of links were distinctive in the public and private sectors. These results signify the importance of positive organizational practices and psychological capital for the life satisfaction of employees.
Economic Evaluation of Posidonia oceanica Ecosystem Services along the Italian Coast
Authors: Scanu Sergio , Piazzolla Daniele , Bonamano Simone , Penna Marina , Piermattei Viviana , Madonia Alice , Manfredi Frattarelli Francesco , Mellini Simone , Dolce Tania , Valentini Riccardo , Coppini Giovanni , Fersini Giorgio , Marcelli Marco
Published: January 2022

This study reports the quantification and analysis of the ecosystem services (ESs) value of Posidonia oceanica (L.) Delile (1813) meadows in Italy (Liguria, Tuscany, Latium, Campania, Calabria, Apulia, Sardinia, and Sicily regions). The ES evaluation method of P. oceanica meadows applied in this study was obtained from a previous study in which the site-specific approach for the definition of the benefits and services was applied. The distribution of P. oceanica and the ESs economic value have been managed through an open-source geographic information system (QGIS), focusing on five essential ESs: carbon sequestration, bioremediation, oxygen production, erosion protection, and food production. The average value of the ESs obtained on the Italian national scale is €21,660.5 ha−1 yr−1, which is comparable with the values reported in the international literature concerning P. oceanica ESs. The results of this study confirm that the economic evaluation of ESs is an essential tool for the management of the coastal marine environment, especially considering the modularity of the applied approach. The value of the total benefits, considering the entire extension of the national P. oceanica meadows, represents significant value with respect to the Italian gross domestic product, and the individual budgets of the considered Italian regions.
Solution of Multi-Crew Depots Railway Crew Scheduling Problems: The Chinese High-Speed Railway Case
Authors: Zhao Chunxiao , Chen Junhua , Zhang Xingchen , Cui Zanyang
Published: January 2022

This paper presents a novel mathematical formulation in crew scheduling, considering real challenges most railway companies face such as roundtrip policy for crew members joining from different crew depots and stricter working time standards under a sustainable development strategy. In China, the crew scheduling is manually compiled by railway companies respectively, and the plan quality varies from person to person. An improved genetic algorithm is proposed to solve this large-scale combinatorial optimization problem. It repairs the infeasible gene fragments to optimize the search scope of the solution space and enhance the efficiency of GA. To investigate the algorithm’s efficiency, a real case study was employed. Results show that the proposed model and algorithm lead to considerable improvement compared to the original planning: (i) Compared with the classical metaheuristic algorithms (GA, PSO, TS), the improved genetic algorithm can reduce the objective value by 4.47%; and (ii) the optimized crew scheduling plan reduces three crew units and increases the average utilization of crew unit working time by 6.20% compared with the original plan.
How Far Is Far Enough? The Social Constitution of Geothermal Energy through Spacing Regulations
Authors: Horn Daniel , Gross Matthias , Pfeiffer Maria , Sonnberger Marco
Published: January 2022

This article argues that the sociotechnical context in which near-surface geothermal energy is embedded draws out its characteristic of being temporarily depletable. Thereby, the minimization of unavoidable side effects, such as cold plumes, which result from the social constitution of geothermal energy, is a crucial area of consideration. Using the situation in Germany as a touchstone, we discuss how cold plumes and interferences from neighboring ground source heat pumps test the limits of the existing regulatory framework, requiring negotiations between different knowledge sets stemming from areas as diverse as planning law, geology, cultural habits, and engineering. This makes the operation of geothermal energy highly uncertain and continuous negotiations on sustainable modes of extractions a pressing issue.
Drying Shrinkage, Sulphuric Acid and Sulphate Resistance of High-Volume Palm Oil Fuel Ash-Included Alkali-Activated Mortars
Authors: Huseien Ghasan Fahim , Asaad Mohammad Ali , Abadel Aref A. , Ghoshal Sib Krishna , Hamzah Hussein K. , Benjeddou Omrane , Mirza Jahangir
Published: January 2022

Nowadays, an alkali-activated binder has become an emergent sustainable construction material as an alternative to traditional cement and geopolymer binders. However, high drying shrinkage and low durability performance in aggressive environments such as sulphuric acid and sulphate are the main problems of alkali-activated paste, mortar and concrete. Based on these factors, alkali-activated mortar (AAM) binders incorporating high-volume palm oil fuel ash (POFA), ground blast furnace slag (GBFS) and fly ash (FA) were designed to enhance their durability performance against aggressive environments. The compressive strength, drying shrinkage, loss in strength and weight, as well as the microstructures of these AAMs were evaluated after exposure to acid and sulphate solutions. Mortars made with a high volume of POFA showed an improved durability performance with reduced drying shrinkage compared to the control sample. Regarding the resistance against aggressive environments, AAMs with POFA content increasing from 0 to 70% showed a reduced loss in strength from 35 to 9% when subjected to an acid attack, respectively. Additionally, the results indicated that high-volume POFA binders with an increasing FA content as a GBFS replacement could improve the performance of the proposed mortars in terms of durability. It is asserted that POFA can significantly contribute to the cement-free industry, thus mitigating environmental problems such as carbon dioxide emission and landfill risks. Furthermore, the use of POFA can increase the lifespan of construction materials through a reduction in the deterioration resulting from shrinkage problems and aggressive environment attacks.
Regulation for Promoting Sustainable, Fair and Circular Fashion
Authors: Peleg Mizrachi Meital , Tal Alon
Published: January 2022

Over the past few decades, the production and consumption of clothing has increased exponentially, leading to a dramatic increase in the negative environmental consequences produced by the fashion industry. Given the rising pace of global warming and the rising concern about the fashion industry’s contribution to the climate crisis and its exploitative social dimensions, decision makers, politicians and government officials have begun to promote sustainable fashion through public policy. This article reviews the main barriers facing a circular economy in general and the fashion industry in particular. It considers nascent regulations emerging throughout the world in the field of sustainable fashion, applying circular economic principles to the fashion industry. Four categories of policy proposals are evaluated: Command and Control Interventions, Educational Initiatives, Incentives and Certification, grading them according to criteria of effectiveness, sustainability, feasibility, equity and compliance. The ranking process was based on an elicitation of expert judgement among a panel with expertise in the areas of sustainable fashion from the business sector, academia and civil society. Findings suggest that while some policy options appear to meet all criteria successfully, when selecting an optimal strategy for promoting sustainable fashion, there are frequently trade-offs between different alternatives.
Analysis of Determinants Affecting Organic Production: State Evidence from the United States
Authors: Hou Yongrui , Luo Tianyuan , Hao Jing
Published: January 2022

As the demand for organic products quickly grows in the U.S., the domestic supply of organic commodities has stagnated and failed to meet the increasing needs. To expand the organic supply capacity in the country, it is crucial to identify the key factors that could effectively promote the scale of organic farming in the U.S. Using a multivariate analytic model and state level data from multiple sources and years, this study examines a wide range of determinants that could affect organic agriculture. The results show that research funding would significantly increase organic vegetable production and the number of organic farms. The development of organic farming could be greatly encouraged by the support of research institutions. In addition, the evidence shows that abundant farm workers are essential for the organic farming sector, which is labor-intensive. Finally, a large population base could create a more stable consumer group that would promote the development of organic agriculture. These results suggest the importance of exploring and expanding consumer groups for organic commodities. These findings provide insightful implications that research support, labor availability, and a solid consumer base are crucial to boost the organic sector in the U.S. and other countries.
A Nonintrusive and Real-Time Classification Method for Driver’s Gaze Region Using an RGB Camera
Authors: Shi Huili , Chen Longfei , Wang Xiaoyuan , Wang Gang , Wang Quanzheng
Published: January 2022

Driver distraction has become a leading cause of traffic crashes. Visual distraction has the most direct impact on driving safety among various driver distractions. If the driver’s line of sight deviates from the road in front, there will be a high probability of visual distraction. A nonintrusive and real-time classification method for driver’s gaze region is proposed. A Multi-Task Convolutional Neural Network (MTCNN) face detector is used to collect the driver’s face image, and the driver’s gaze direction can be detected with a full-face appearance-based gaze estimation method. The driver’s gaze region is classified by the model trained through the machine learning algorithms such as Support Vector Machines (SVM), Random Forest (RF), and K-Nearest Neighbors (KNN). The simulated experiment and the real vehicle experiment were conducted to test the method. The results show that it has good performance on gaze region classification and strong robustness to complex environments. The models in this paper are all lightweight networks, which can meet the accuracy and speed requirements for the tasks. The method can be a good help for further exploring the visual distraction state level and exert an influence on the research of driving behavior.
A New Collaborative Multi-Agent Monte Carlo Simulation Model for Spatial Correlation of Air Pollution Global Risk Assessment
Authors: Hassan Mustafa Hamid , Mostafa Salama A. , Mustapha Aida , Saringat Mohd Zainuri , Al-rimy Bander Ali Saleh , Saeed Faisal , Eljialy A.E.M. , Jubair Mohammed Ahmed
Published: January 2022

Air pollution risk assessment is complex due to dynamic data change and pollution source distribution. Air quality index concentration level prediction is an effective method of protecting public health by providing the means for an early warning against harmful air pollution. However, air quality index-based prediction is challenging as it depends on several complicated factors resulting from dynamic nonlinear air quality time-series data, such as dynamic weather patterns and the verity and distribution of air pollution sources. Subsequently, some minimal models have incorporated a time series-based predicting air quality index at a global level (for a particular city or various cities). These models require interaction between the multiple air pollution sensing sources and additional parameters like wind direction and wind speed. The existing methods in predicting air quality index cannot handle short-term dependencies. These methods also mostly neglect the spatial correlations between the different parameters. Moreover, the assumption of selecting the most recent part of the air quality time series is not valid considering that pollution is cyclic behavior according to various events and conditions due to the high possibility of falling into the trap of local minimum and poor generalization. Therefore, this paper proposes a new air pollution global risk assessment (APGRA) prediction model for an air quality index of spatial correlations to address these issues. The APGRA model incorporates an autoregressive integrated moving average (ARIMA), a Monte Carlo simulation, a collaborative multi-agent system, and a prediction algorithm for reducing air quality index prediction error and processing time. The proposed APGRA model is evaluated based on Malaysia and China real-world air quality datasets. The proposed APGRA model improves the average root mean squared error by 41%, mean and absolute error by 47.10% compared with the conventional ARIMA and ANFIS models.
Reply to Awad, M.M. Comment on “Alam et al. Numerical Simulation of Homogeneous–Heterogeneous Reactions through a Hybrid Nanofluid Flowing over a Rotating Disc for Solar Heating Applications. Sustainability 2021, 13, 8289”
Authors: Alam Mir Waqas , Hussain Syed Ghazanfar , Souayeh Basma , Khan Muhammad Shuaib , Farhan Mohd
Published: January 2022

This write-up presents a closure to the comments of Awad, M.M. (2021) on the paper “Numerical Simulation of Homogeneous–Heterogeneous Reactions through a Hybrid Nanofluid Flowing over a Rotating Disc for Solar Heating Applications” (Alam et al., 2021). The authors have addressed each of the comments in detail to uphold the correctness of the mathematical formulation together with the pertinent results presented in our published article.
Sustainability Education in China: Lessons Learnt from the Teaching of Geography
Authors: Huang Haoyi , Cheng Eddie W. L.
Published: January 2022

Since its emergence, the concept of sustainability has been incorporated in geography education across the globe. China is no exception. As one of the pioneer countries in advocating environmental protection, the Chinese government has called for a paradigm shift in pedagogies in order to encourage students to effectively learn the concept and develop their ability to think in new ways, especially engaging themselves with contemporary worldviews. However, many teachers may feel that they are incapable of teaching sustainability. Therefore, it is important to examine whether subject teachers have the ability to implement sustainability education. To fill this research gap, the present research focused on a case study of an in-service Chinese geography teacher teaching sustainability in a junior middle school in China. In order to deeply understand his teaching, this research adopted the form of interviews, supplemented by the analysis of relevant teaching documents. The results indicated that the two themes taught in the seventh and eighth grades, respectively, involved mainly environmental sustainability with some connection to economic sustainability, but fell short of socio-cultural sustainability. This study calls for more sustainability elements in geography curriculums, particularly with the inclusion of socio-cultural sustainability. In this article, research and practical implications have been given.
ASDesign: A User-Centered Method for the Design of Assistive Technology That Helps Children with Autism Spectrum Disorders Be More Independent in Their Daily Routines
Authors: Cañete Raquel , Peralta M. Estela
Published: January 2022

COVID-19 has posed new physical and mental challenges for the population worldwide, establishing social and structural changes in the labor market that could be maintained and implemented permanently. This new reality will require new strategies to improve family and work conciliation, which is especially challenging for families with children suffering from psychological pathologies such as autism spectrum disorder (ASD). These changes have led to more frequent and intense behavioral problems, causing stress, anxiety, and confusion for these children and their families. Thus, the need to have tools that help parents reconcile work with the care of these children, who have low autonomy, is reinforced. This work develops a method for the design of assistive technology and smart products to support children with ASD in following a routine and managing tasks autonomously. In this way, the article analyzes the design problem including the needs and preferences of children with ASD and their parents during confinement in terms of dependence and adaptability; develops a design method for interactive and smart products focused on children with ASD in confinement situations; and validates this method in a case study, in which a robot is developed that makes it easier for children with ASD to follow a routine.
What Does the Data Say about Effective University Online Internships? The Universitat Politècnica de València Experience Using MOOC during COVID-19 Lockdown
Authors: Despujol Ignacio , Castañeda Linda , Turró Carlos
Published: January 2022

Universitat Politècnica de València’s students can take in-company internships during their bachelor’s degrees, and, with the COVID-19 lockdown, 224 students had their internships cancelled. EdX launched a free certificate initiative for its partners, and UPV gave the possibility of using MOOCs to cover for the credit needed to graduate. We have tried to answer the question, “Is it possible to use MOOCs to replace an in-company internship in an emergency?” using Learning Analytics; 179 students chose this possibility. More than 90% of the students got their academic credit, and their satisfaction with the initiative was 4.6/5. They scored MOOCs’ quality with 4/5 and the contribution of MOOCs to their careers with 3.6/5; 95% will take a MOOC, and 69.3% think it is worth paying for the certificate. The answers to the question evaluating if MOOCs had given them the same knowledge as a company internship are positive but much less conclusive, with an average of 2.87/5. We conclude that MOOCs achieved the pursued goal during the emergency. With more time for planning and extra resources for remote support, they can be a good solution in environments where online is the only choice, and they can even be used as a tool to reinforce some of the knowledge needed to be successful in a traditional internship.
The Transformation of Dorćol Power Plant: Triggering a Sustainable Urban Regeneration or Selling the Heritage?
Authors: Simic Ivan , Stupar Aleksandra , Grujicic Aleksandar , Mihajlov Vladimir , Cvetkovic Marija
Published: January 2022

The power plant “Power and Light” (1932, Belgrade) was the first one to generate alternating current in Serbia. Situated along the Danube river, it represented a part of an industrial area positioned in the Dorćol neighborhood, close to the urban core. Since 2005, the whole area has been exposed to a significant transformation into a luxurious residential and commercial complex, triggered by the intentions of private investors and directed by the ideas of changing city authorities. Considering the unpredictable local context created by the dominant post-socialist transitional economy, the article focuses on the sensitive relationship between the social sustainability of the ongoing urban regeneration plans and the emerging neoliberal forces targeting the areas of industrial heritage. Consequently, the case of the Dorćol ex-power plant and the anticipated changes in its urban surrounding are analyzed according to the selected principles of social sustainability. Revealing numerous controversies, both on the level of preferred urban policies and their questionable application, this case addresses the problems of heritage (re)use and regeneration in an environment of fast-shifting governmental priorities and financial flows, with reduced receptivity to sustainable solutions.
Will the Governance of Non-State Shareholders Inhibit Corporate Social Responsibility Performance? Evidence from the Mixed-Ownership Reform of China’s State-Owned Enterprises
Authors: Zhang Rongwu , Lin Yanzhen , Kuang Yingxu
Published: January 2022

Fulfilling social responsibilities in order to sustain development has increasingly become a strategic choice for companies. Good corporate governance can guarantee high corporate social responsibility performance. This paper selects state-owned enterprises listed on the Shanghai and Shenzhen A-Share market from 2013 to 2019 as samples and uses a panel data OLS regression model to empirically test the impact of the governance of non-state shareholders on the social responsibility performance of state-owned enterprises from two aspects of shareholding: structure and high-level governance. The results show that, first, the governance of non-state shareholders helps to improve the social responsibility performance of state-owned enterprises; second, that mechanism analysis indicates that non-state shareholders improve the social responsibility performance of state-owned enterprises by improving the internal control quality; and third, the impact of the governance of non-state shareholders on the social responsibility performance of state-owned enterprises is heterogeneous in three aspects: the degree of marketization, the level of product market competition, and the corporate profitability. This paper not only helps to clarify the factors which influence the social responsibility performance of state-owned enterprises, but also enriches studies on the economic consequences brought by non-state shareholders through participating in the governance of state-owned enterprises.
Does Corporate Social Responsibility Impact on Corporate Risk-Taking? Evidence from Emerging Economy
Authors: Li Xiao , Liu Gang , Fu Qinghua , Abdul Rahman Abdul Aziz , Meero Abdelrhman , Sial Muhammad Safdar
Published: January 2022

This study analyzes the impact of corporate social responsibility (CSR) fulfillment on corporate risk-taking to assist stakeholders in identifying the “double-edged sword” role of CSR activities and provide empirical evidence for enterprises to properly carry out CSR activities. The results show that the self-interest instrumentalization of CSR activities intensifies agency conflict, and CSR fulfillment weakens risk-taking to a certain extent. When CSR fulfillment reaches a certain value, CSR activities can improve risk-taking. Then, CSR fulfillment and risk-taking show a U-shaped relationship. Further analysis shows that the impacts of CSR on debt financing and R&D input reflect the U-shaped effect pathways of CSR fulfillment on risk-taking. Finally, it is suggested that CSR activities should be avoided to become the “self-interest tool” of the management. The regulators guide enterprises to break through the inflection point of the U-shaped effect and consider more for the stakeholders’ overall interests. Additionally, the regulators establish an effective compensation system to ensure that the enterprises with adequate CSR fulfillment obtain high-quality capital resources and promote the sustainable development of the capital market.
Assessment of Variations in Runoff Due to Landcover Changes Using the SWAT Model in an Urban River in Dublin, Ireland
Authors: Basu Arunima Sarkar , Gill Laurence William , Pilla Francesco , Basu Bidroha
Published: January 2022

Investigating the impact of land cover change in hydrological modelling is essential for water resources management. This paper investigates the importance of landcover change in the development of a physically-based hydrological model called SWAT. The study area considered is the Dodder River basin located in southern Dublin, Ireland. Runoff at the basin outlet was simulated using SWAT for 1993–2019 using five landcover maps obtained for 1990, 2000, 2006, 2012 and 2018. Results indicate that, in general, the SWAT model-simulated runoff for a chosen time-period are closer to the real-world observations when the landcover data used for simulation was collated as close to the time-period for which the simulations were performed. For 23 (20) years (from 27 years period) the monthly mean (maximum) runoff for the Dodder River generated by the SWAT model had the least error when the nearby landcover data were used. This study indicates the necessity of considering dynamic and time-varying landcover data during the development of hydrological modelling for runoff simulation. Furthermore, two composite quantile functions were generated by using a kappa distribution for monthly mean runoff and GEV distribution for monthly maximum runoff, based on model simulations obtained using different landcover data corresponding to different time-period. Modelling landcover change patterns and development of projected landcover in the future for river basins in Ireland needs to be integrated with SWAT to simulate future runoff.
Digital Transformation among SMEs: Does Gender Matter?
Authors: Alam Khorshed , Ali Mohammad Afshar , Erdiaw-Kwasie Michael O. , Murray Peter A. , Wiesner Retha
Published: January 2022

The COVID-19 pandemic has highlighted and exacerbated some of the challenges that small and medium enterprises (SMEs) face in times of crisis, disrupting their operations, weakening their financial positions, and exposing them to a wide range of financial risks. While previous studies have viewed digital transformation as a vital source of innovation and productivity growth for economic recovery in SMEs, there has been limited focus on digital transformation in the regional context, with very little attention focused on women-led enterprises. This study aims to investigate (i) the determinants of perception of digital transformation among regional SMEs, and (ii) whether the gender of the SME owner or manager has an impact on the drivers of the digital transformation experiences of SMEs operating in regional Australia. Building upon the resource-based view, this study uses a unique dataset of 281 SMEs collected from a survey conducted within a regional area of Queensland, Australia. Employing Feasible Generalised Least Squares and Generalised Least Squares estimations, the study found that the perceptions of digital transformation can be explained by the use of social network platforms, innovation processes, workplace culture, and information and communication technologies. This study also found that there is a significant difference between female-led and male-led SMEs regarding their perceptions of digital transformation. This study offers two key policy and practical insights: (i) digital transformation of regional SMEs should be used as a fundamental tool for crisis recovery strategies, and (ii) the need for policymakers to mainstream gender into postcrisis transformative interventions and policies should be fast tracked.
The Future of Rurality: Place Attachment among Young Inhabitants of Two Rural Communities of Mediterranean Central Chile
Authors: Rodríguez-Díaz Paulina , Almuna Rocío , Marchant Carla , Heinz Sally , Lebuy Roxana , Celis-Diez Juan L. , Díaz-Siefer Pablo
Published: January 2022

Rural livelihoods are under threat, not only from climate change and soil erosion but also because young people in rural areas are increasingly moving to urbanized areas, seeking employment and education opportunities. In the Valparaiso region of Chile, megadrought, soil degradation, and industrialization are driving young people to leave agricultural and livestock activities. In this study, our main objective was to identify the factors influencing young people living in two rural agricultural communities (Valle Hermoso and La Vega). We conducted 90 online surveys of young people aged 13–24 to evaluate their interest in living in the countryside (ILC). We assessed the effect of community satisfaction, connectedness to nature, and social valuation of rural livelihoods on the ILC. The results show that young people were more likely to stay living in the countryside when they felt satisfied and safe in their community, felt a connection with nature, and were surrounded by people who enjoyed the countryside. These results highlight the relevance of promoting place attachment and the feeling of belonging within the rural community. Chilean rural management and local policies need to focus on rural youth and highlight the opportunities that the countryside provides for them.
Socioeconomic Determinants of Female Development in the Rural North West Province of South Africa
Authors: Ijatuyi Enioluwa Jonathan , Oladele Oladimeji Idowu , Abiolu Oluremi Adenike , Omotayo Abiodun Olusola
Published: January 2022

Women engagement and reward systems are vital for rural development as they have a direct consequence on the improvement, equality, as well as accelerating agricultural productivity generally, and increasing food supply in particular at the local and national levels. The study highlighted the contribution of the Award Incentives and Competition (AIC) programme in enhancing women farmers’ economic strength. It also looked at how influence, change and technological know-how could improve women farmers’ participation in development programmes. It provided an overview of the determinants of female entrepreneurship development in rural North West Province using a quantitative survey method approach. One hundred and fifty-six women farmers, who were randomly selected from all districts in the province and different enterprises out of 520 eligible women farmers, participated in the study. Data were analysed using descriptive statistics and inferential (Probit regression) model. Based on empirical data, the Probit regression model estimates suggested that the educational status, creation of temporary and permanent jobs, and extension sources were some of the determinants of entrepreneurial development in the study area. The study recommends that policymakers continue to advocate for education as female farmers need to participate in development programme(s).
Sustainable Aviation—Hydrogen Is the Future
Authors: Yusaf Talal , Fernandes Louis , Abu Talib Abd Rahim , Altarazi Yazan S. M. , Alrefae Waleed , Kadirgama Kumaran , Ramasamy Devarajan , Jayasuriya Aruna , Brown Gordon , Mamat Rizalman , Dhahad Hayder Al , Benedict F. , Laimon Mohamd
Published: January 2022

As the global search for new methods to combat global warming and climate change continues, renewable fuels and hydrogen have emerged as saviours for environmentally polluting industries such as aviation. Sustainable aviation is the goal of the aviation industry today. There is increasing interest in achieving carbon-neutral flight to combat global warming. Hydrogen has proven to be a suitable alternative fuel. It is abundant, clean, and produces no carbon emissions, but only water after use, which has the potential to cool the environment. This paper traces the historical growth and future of the aviation and aerospace industry. It examines how hydrogen can be used in the air and on the ground to lower the aviation industry’s impact on the environment. In addition, while aircraft are an essential part of the aviation industry, other support services add to the overall impact on the environment. Hydrogen can be used to fuel the energy needs of these services. However, for hydrogen technology to be accepted and implemented, other issues such as government policy, education, and employability must be addressed. Improvement in the performance and emissions of hydrogen as an alternative energy and fuel has grown in the last decade. However, other issues such as the storage and cost and the entire value chain require significant work for hydrogen to be implemented. The international community’s alternative renewable energy and hydrogen roadmaps can provide a long-term blueprint for developing the alternative energy industry. This will inform the private and public sectors so that the industry can adjust its plan accordingly.
The Economic and Environmental Impact of Greenhouse Heating Pipe Insulation
Authors: Küçüktopcu Erdem , Cemek Bilal , Simsek Halis
Published: January 2022

This study aimed to determine the effect of optimum pipe insulation thickness on energy savings and air pollution under greenhouse conditions. In this regard, an optimization model based on a Life Cycle Cost (LCC) analysis was carried out using the P1–P2 method. Three fuel types, coal, natural gas, and fuel oil, were tested with nominal pipe sizes ranging from 25 to 65 mm, and hot water was used in the system. Our findings showed that the highest insulation thickness (0.807 m), the greatest energy savings ($62.351/m), and the lowest payback period (0.502 years) were achieved with a 65 mm pipe size for fuel oil. Overall, the insulation minimizes heat loss through the heating pipelines, resulting in economic and environmental benefits. Fuel oil was determined as the best option for savings in this study. Hence, for fuel oil utilization, the emissions of CO2 varied from 2.762 to 3.798 kg/m and SO2 from 0.014 to 0.020 kg/m for pipe thicknesses ranging from 25 and 65 mm, respectively.
Two-Lenses Model to Unfold Sustainability Innovations: A Tool Proposal from Sustainable Business Model and Performance Constructs
Authors: Morioka Sandra Naomi , Holgado Maria , Evans Steve , Carvalho Marly M. , Rotella Junior Paulo , Bolis Ivan
Published: January 2022

This research combines corporate sustainability performance and sustainable business model concepts to improve the corporate sustainability of organizations. The main objective of this article is to propose and apply a tool to identify sustainable innovation opportunities through a structured brainstorming process while providing a systemic business perspective and a strong multi-stakeholder orientation. The present qualitative research was carried out in two phases. The first phase consisted of a critical analysis of literature that enabled the proposition of the Two-Lenses Model (2LM) for sustainability innovation. The corporate sustainability performance lens encompasses strategic drivers, business processes, capabilities, stakeholders’ satisfaction and contributions. The sustainable business models lens considers value proposition, value creation and delivery system and value capture and sharing. The second phase consists of applying the 2LM in two industrial cases. The results show that the proposed model has the potential to trigger the identification of opportunities through two mechanisms: misalignments between performance dimensions and gaps in stakeholder satisfaction. Further research opportunities lie on deepening into these findings and investigating the implementation process for the identified innovation opportunities.
Industrial Buildings with Zero Energy Consumption: Cathedral Warehouse for Sherry Wines
Authors: Navia-Osorio Eduardo Galán , Mazarrón Fernando R. , Porras-Amores César , Cañas Ignacio
Published: January 2022

The industrial sector needs solutions and strategies that allow buildings to reduce their energy consumption and develop their daily business activities. This paper discusses the long-term monitoring measures of indoor thermal conditions in a warehouse with zero energy consumption. The objective is to promote the use of passive design strategies within the industrial sector by analyzing an example of the feasibility of achieving controlled environmental conditions with zero energy consumption. In total, more than a million data points were processed and analyzed in different periods of the year. Experimental measurements showed strong gradients in the vertical distribution of temperature, this being a key aspect of the general behavior of the indoor environment of the warehouse. A standard comparison variable was developed to quantify the monthly and daily evolution of vertical stratification of the air to explain in detail the thermal behavior of the warehouse throughout the year. The results showed the efficacy of the design of these constructions to mitigate the high temperatures typical in a Mediterranean-Oceanic climate. This example of ingenuity in passive design demonstrates how, by combining the right strategies, the desired conditions can be obtained without any energy consumption.
Expediting the Cost Estimation Process for Aged-Housing Renovation Projects Using a Probabilistic Deep Learning Approach
Authors: Kim Jun , Cha Hee Sung
Published: January 2022

Since the early 1980s, the Korean government has rapidly boosted residential buildings to cope with substantial housing shortages. However, as buildings have been aging simultaneously, the performance of a large number of residential buildings has deteriorated. A government plan to upgrade poor housing performance through renovation is being adopted. However, the difficulty of accurate construction cost prediction in the early stages has a negative effect on the renovation process. Specifically, the relationship between renovation design elements and construction work items has not been clearly revealed. Thus, construction experts use premature intuition to predict renovation costs, giving rise to a large difference between planned and actual costs. In this study, a new approach links the renovation design elements with construction work items. Specifically, it effectively quantifies design factors and applies data-driven estimation using the simulation-based deep learning (DL) approach. This research contributes the following. First, it improves the reliability of cost prediction for a data-scarce renovation project. Moreover, applying this novel approach greatly reduces the time and effort required for cost estimation. Second, several design alternatives were effectively examined in an earlier stage of construction, leading to prompt decision-making for homeowners. Third, rapid decision-making can provide a more sustainable living environment for residents. With this novel approach, stakeholders can avoid a prolonged economic evaluation by selecting a better design alternative, and thus can maintain their property holdings in a smarter way.
Online Teaching during COVID-19 Pandemic: Teachers’ Experiences from a Chinese University
Authors: Tsegay Samson Maekele , Ashraf Muhammad Azeem , Perveen Shahnaz , Zegergish Mulugeta Zemuy
Published: January 2022

This paper explores the experiences of Chinese university teachers during the COVID-19 pandemic, with a particular emphasis on the teaching and learning methods adopted and the benefits and challenges encountered in the process. It is based on semi-structured interviews with 13 Chinese university teachers selected through purposive sampling. The findings suggest that the COVID-19 pandemic forced the university and teachers to adopt online teaching and learning without necessary preparations. Most of the teachers had no adequate ICT and pedagogical training to engage in online teaching and learning. The teachers used the little knowledge they had to learn creating videos and managing online classes gradually. In addition to the flexibility benefits, online learning is expected to transform the teaching and learning process in China to become more interactive and student-centered, which would be a significant achievement for teachers who have been practicing traditional teaching methods. This research provides a better understanding of the benefits and challenges of online learning, which could be vital for future adjustments or educational reforms.