bluuebunny/crossref_metadata_2025 huggingface dataset:
Study of Machine Learning for Cloud Assisted IoT Security as a Service
Authors: Alsharif Maram , Rawat Danda B.
Published: February 2021

Machine learning (ML) has been emerging as a viable solution for intrusion detection systems (IDS) to secure IoT devices against different types of attacks. ML based IDS (ML-IDS) normally detect network traffic anomalies caused by known attacks as well as newly introduced attacks. Recent research focuses on the functionality metrics of ML techniques, depicting their prediction effectiveness, but overlooked their operational requirements. ML techniques are resource-demanding that require careful adaptation to fit the limited computing resources of a large sector of their operational platform, namely, embedded systems. In this paper, we propose cloud-based service architecture for managing ML models that best fit different IoT device operational configurations for security. An IoT device may benefit from such a service by offloading to the cloud heavy-weight activities such as feature selection, model building, training, and validation, thus reducing its IDS maintenance workload at the IoT device and get the security model back from the cloud as a service.
Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings
Authors: Elsisi Mahmoud , Tran Minh-Quang , Mahmoud Karar , Lehtonen Matti , Darwish Mohamed M. F.
Published: February 2021

Worldwide, energy consumption and saving represent the main challenges for all sectors, most importantly in industrial and domestic sectors. The internet of things (IoT) is a new technology that establishes the core of Industry 4.0. The IoT enables the sharing of signals between devices and machines via the internet. Besides, the IoT system enables the utilization of artificial intelligence (AI) techniques to manage and control the signals between different machines based on intelligence decisions. The paper’s innovation is to introduce a deep learning and IoT based approach to control the operation of air conditioners in order to reduce energy consumption. To achieve such an ambitious target, we have proposed a deep learning-based people detection system utilizing the YOLOv3 algorithm to count the number of persons in a specific area. Accordingly, the operation of the air conditioners could be optimally managed in a smart building. Furthermore, the number of persons and the status of the air conditioners are published via the internet to the dashboard of the IoT platform. The proposed system enhances decision making about energy consumption. To affirm the efficacy and effectiveness of the proposed approach, intensive test scenarios are simulated in a specific smart building considering the existence of air conditioners. The simulation results emphasize that the proposed deep learning-based recognition algorithm can accurately detect the number of persons in the specified area, thanks to its ability to model highly non-linear relationships in data. The detection status can also be successfully published on the dashboard of the IoT platform. Another vital application of the proposed promising approach is in the remote management of diverse controllable devices.
Analysis of Learning Influence of Training Data Selected by Distribution Consistency
Authors: Hwang Myunggwon , Jeong Yuna , Sung Won-Kyung
Published: February 2021

This study suggests a method to select core data that will be helpful for machine learning. Specifically, we form a two-dimensional distribution based on the similarity of the training data and compose grids with fixed ratios on the distribution. In each grid, we select data based on the distribution consistency (DC) of the target class data and examine how it affects the classifier. We use CIFAR-10 for the experiment and set various grid ratios from 0.5 to 0.005. The influences of these variables were analyzed with the use of different training data sizes selected based on high-DC, low-DC (inverse of high DC), and random (no criteria) selections. As a result, the average point accuracy at 0.95% (±0.65) and the point accuracy at 1.54% (±0.59) improved for the grid configurations of 0.008 and 0.005, respectively. These outcomes justify an improved performance compared with that of the existing approach (data distribution search). In this study, we confirmed that the learning performance improved when the training data were selected for very small grid and high-DC settings.
The What, Why and How of Child Participation—A Review of the Conceptualization of “Child Participation” in Child Welfare
Authors: Skauge Berit , Storhaug Anita Skårstad , Marthinsen Edgar
Published: February 2021

This review explores the conceptualization of “child participation” in a child welfare context. The analyses are based on the theories, models and concepts researchers apply when framing their studies. Central to the authors’ conceptualizing is the understanding of why children should participate. Children’s rights are a common starting point for many authors, but they differ on whether children should participate out of consideration for children’s intrinsic value (e.g., concern for their well-being) or for the instrumental value of the participation itself (e.g., service outcome). The analysis also focuses on how authors measure participation level. The analysis showed that most authors presented a limited rights-focused goal for the collaboration with children, while a minority group problematized the concept. Although several researchers emphasize that participation requires a process, few authors see the meaning-making process as the main purpose of child participation.
Pro-Environmental and Pro-Social Engagement in Sustainable Consumption: Exploratory Study
Authors: Čapienė Aistė , Rūtelionė Aušra , Tvaronavičienė Manuela
Published: February 2021

Sustainable consumption, provision of a clean and healthy environment, as well as improvements to the quality of life of current and future generations, are all integral parts of the sustainable development strategy, which is understood as a compromise between the environmental, economic and social objectives of society. The pro-environmental and pro-social consumer engagement in sustainable consumption may lead to behavioral change, thus contributing to the resolution of current global challenges. Although recently the pro-environmental and pro-social engagement concept has received considerable attention, there is still no consensus on what determines it. Moreover, the recent research is limited to identifying individual factors of this phenomenon. Therefore, the purpose of this study is to explore the factors that determine pro-environmental and pro-social consumer engagement in sustainable consumption. The authors employed a qualitative method approach, conducting semi-structured interviews with consumers engaged in sustainable consumption in Lithuania. The research results reveal that these consumers were affected by cognitive, attitudinal and psychosocial factors. In terms of external factors, consumers named contextual factors for sustainable consumption, social norms and the promotion of sustainable consumption. Research results also show an additional internal factor of perceived responsibility, which means perceived duty as an individual to do good for society and the environment.
Educommunication and Archaeological Heritage in Italy and Spain: An Analysis of Institutions’ Use of Twitter, Sustainability, and Citizen Participation
Authors: García-Ceballos Silvia , Rivero Pilar , Molina-Puche Sebastián , Navarro-Neri Iñaki
Published: February 2021

Improving heritage educommunication on the web 2.0 is key to reaching certain sustainable development goals focused on educational quality and citizen participation. Although numerous partial studies have already been conducted, to date neither assessment tools nor detailed studies are available regarding the quality of educommunicative initiatives. Spain and Italy’s archaeological heritage museums have a consolidated track record on Twitter, which has been bolstered by museum closures due to COVID-19 and has resulted in a significant change to their educommunicative policies. The present article aims to analyze educommunicative actions undertaken on Twitter at Italian archaeological museums, compare their strategies with a previous study on Spanish institutions, and analyze to what degree the sustainability of heritage, citizen participation, learning opportunities, and universal access are being promoted. This mixed method analysis was carried out through the implementation of a web 2.0 heritage educommunication analysis tool focused on three key factors: educational procedure, R-elational interactions, and the prevailing learning paradigm, as well as a content analysis of the variables that comprise them. The key findings suggest that neither country is close to achieving a quality educommunicative strategy. Italian archaeological heritage institutions use Twitter simply as an advertising platform. Despite being a social media platform, participative initiatives are scarcely promoted, although heritage sustainability is promoted through raising awareness of conservation and appreciation. Spanish institutions, however, demonstrated the opposite pattern of use.
Agricultural, Ecological, and Social Insights: Residual Mulch Film Management Capacity and Policy Recommendations Based on Evidence in Yunnan Province, China
Authors: Chen Ji , Chen Xiao , Guo Jin , Zhu Runyun , Liu Mengran , Kuang Xixi , He Wenqing , Lu Yao
Published: February 2021

Mulch film contaminates the environment while increasing agricultural yield. As such, the factors that impact the residual film management capacity of farmers must be identified, which would also be helpful for the sustainable development and security of agriculture. We investigated 10 counties across nine cities (states) by surveying 1284 households. The improved entropy-weighted composite index and the grey correlation analysis model were employed to measure the residual film management capacity from five dimensions: human capital, use behavior, management skills, public policy, and willingness. The entropy-weighted composite index results showed that residual film being harmful to the environment had the highest overall rate of 0.0745, followed by the effectiveness of mulch film, which was 0.0715. The results of the grey correlation analysis model showed that willingness to use biodegradable mulch film had the highest correlation of 0.8960, followed by educational level of the laborers, which was 0.8824. We found that residual film being harmful to the environment, effectiveness of mulch film, willingness to use biodegradable mulch film, and educational level of the laborers were the major factors influencing the residual mulch film pollution knowledge of households. Based on this finding, the government should increase subsidies for promoting biodegradable mulch film and publicize the hazards of residual films using diversified means in multiple channels.
Management Styles and Decision-Making: Pro-Ecological Strategy Approach
Authors: Sulich Adam , Sołoducho-Pelc Letycja , Ferasso Marcos
Published: February 2021

Management style and decision-making create an organization’s culture and influence its performance also in the pro-ecological dimension. Therefore, this paper’s originality lies in how it explores the effect of management style to inform our understanding of decision-making when using a sustainable approach. However, the cause-and-effect relations between decisions and management style remain vastly unexplored. The paper’s aim is to explore whether the management style serves as a basis for decision-making or if it is an effect of decisions. This research addresses a research question: is the management style a basis for decision-making or an effect of the decisions in a pro-ecological context? We used a comprehensive literature review by using inductive and deductive approaches to analyze the relations between decision-making and management style. The paper also illustrates how organizational culture images can inform accounts of business realities influencing organizations’ green strategies. The analogies followed relations between color symbol and guiding metaphor. The article presents a theoretical discussion on the influence of management style on decision-making in the organization, based on original literature research in pro-ecological strategy related decisions. As a result, a decision-making style model is proposed. This nonorthodox approach might open up new avenues of thought in the field of decision-making, management styles, and pro-ecological strategy. Theoretical and managerial implications and directions for future research are also addressed.
Energy Efficiency Measurement: A VO TFEE Approach and Its Application
Authors: Li Shuangjie , Diao Hongyu , Wang Liming , Li Chunqi
Published: February 2021

Energy efficiency is crucial to the 2030 UN Sustainable Development Goals (SDGs), but its widely measured indicator, energy intensity, is still insufficient. For this reason, in 2006, total factor energy efficiency (TFEE) was proposed with capital, labor, and energy as inputs and GDP as the desirable output. The later TFEE approach further incorporated pollution as the undesirable output. However, it is problematic to regard GDP (the total value of final products) as the desirable output, because GDP does not include the intermediate consumption, which accounts for a large part of the production activities and may even be larger than the value of GDP. GDP is more suitable for measuring distribution, while VO (value of output) is more appropriate for sustainable production analysis. Therefore, we propose a VO TFEE approach that takes VO as the desirable output instead and correspondingly incorporates the other intermediate materials and services except energy into inputs. Finally, the empirical analysis of the textile industry of EU member states during 2011–2017 indicates that the VO TFEE approach is more stable and convergent in measuring energy efficiency, and is more suitable for helping policymakers achieve the SDGs of energy saving, emissions reduction, and sustainable economic development.
Visualization of the Sustainability Level of Crude Palm Oil Production: A Life Cycle Approach
Authors: Omran Najat , Sharaai Amir Hamzah , Hashim Ahmad Hariza
Published: February 2021

The Malaysian palm oil is an important source of social development and economic growth in the country. Nevertheless, it has been accused of conducting unsustainable practices that may affect the sustainability of this industry. Thus, this study aims to identify the level of sustainability of crude palm oil (CPO) production. Environmental impacts were assessed using the International Organization for Standardization (ISO) standardized life cycle assessment (LCA). Economic impacts were evaluated using life cycle costing (LCC). Social impact assessment was identified based on the UNEP/SETAC Guidelines for social life cycle assessment (S-LCA). Life cycle sustainability assessment (LCSA) was used to combine three methods: LCA, life cycle costing (LCC) and S-LCA using the scoring system method. Finally, a presentation technique was developed to visualize the LCSA results. The results show that crude palm oil production requires more improvement to be a sustainable product. The study feasibly enables the decision-makers to understand the significant environmental, economic, and social hotspots during the crude palm oil production process in order to promote palm oil production.
Modeling the Impacts of Autonomous Vehicles on Land Use Using a LUTI Model
Authors: Cordera Rubén , Nogués Soledad , González-González Esther , Moura José Luis
Published: February 2021

Autonomous vehicles (AVs) can generate major changes in urban systems due to their ability to use road infrastructures more efficiently and shorten trip times. However, there is great uncertainty about these effects and about whether the use of these vehicles will continue to be private, in continuity with the current paradigm, or whether they will become shared (carsharing/ridesharing). In order to try to shed light on these matters, the use of a scenario-based methodology and the evaluation of the scenarios using a land use–transport interaction model (LUTI model TRANSPACE) is proposed. This model allows simulating the impacts that changes in the transport system can generate on the location of households and companies oriented to local demand and accessibility conditions. The obtained results allow us to state that, if AVs would generate a significant increase in the capacity of urban and interurban road infrastructures, the impacts on mobility and on the location of activities could be positive, with a decrease in the distances traveled, trip times, and no evidence of significant urban sprawl processes. However, if these increases in capacity are accompanied by a large augment in the demand for shared journeys by new users (young, elderly) or empty journeys, the positive effects could disappear. Thus, this scenario would imply an increase in trip times, reduced accessibilities, and longer average distances traveled, all of which could cause the unwanted effect of expelling activities from the consolidated urban center.
Perceptions of, and Motivations for, Land Trust Conservation in Northern Michigan: An Analysis of Key Informant Interviews
Authors: Braddock Kathryn N. , Heinen Joel T.
Published: February 2021

Land trusts are common and expanding mechanisms for conservation, although their impacts have been little-studied. The objective of this paper is to understand the perceptions and motivations of stakeholders of small-scale land trust conservation. We used 33 key informant interviews to learn the motivations and opinions of stakeholders regarding the Little Traverse Conservancy (LTC) of northern Michigan, USA. The interviews were coded for relevant themes and interpreted alongside a literature review. The highest reported motivation for stakeholder involvement with LTC was the protection of nature and scenic beauty. Economic and social factors were also considered motivators; however, were not the key facilitators for conservation action for LTC stakeholders. Interviews emphasized that relationship and partnership formations are critical for facilitating successful land conservation. We conclude that land trust organizations can captivate the long-term support and participation of stakeholders through the consideration of local dynamics and building upon existing community relationships.
A Comparative Study on Air Pollution Characteristics in Four Key Cities during 2013 in Guangxi Province, China
Authors: Mao Jing-Ying , Chen Zhi-Ming , Jiang Zong-Kai , Mo Zhao-Yu , Li Hong-Jiao , Meng Fan , Chen Bei , Ling Hui-Jiao , Li Hong
Published: February 2021

Based on ambient air quality data of the four key cities (Nanning, Liuzhou, Guilin, and Beihai) in Guangxi, China, along with an analysis of the main emission sources, topographic features, weather conditions, and backward trajectories, the variation of main air pollutants and pollution episodes in the four cities were studied. Results showed that air pollution was most serious in Liuzhou and Guilin, followed by Nanning and Beihai. PM2.5 was the dominant pollutant in each city, followed by O3, PM10, and NO2. Concentrations of SO2 and CO did not exceed their National Ambient Air Quality Standard Grade II limit values. In the cities, the concentrations of PM2.5, PM10, NO2, and SO2 were high during fall and winter and low during spring and summer, while the concentrations of O3 were high during fall and low during the other seasons. Concentrations of CO were low during summer and high during the other seasons in Nanning and Liuzhou, while they were high during spring and winter and low during summer and fall in Guilin and Beihai. In these cities, pollution episodes resulted mainly from stagnant accumulation and showed characteristics of regional pollution. However, pollution levels and durations for each city were different due to differences in main pollution sources, local geography, and weather conditions. The influences of air masses on the four cities were similar. They were mainly influenced by local emission sources in the spring, while during autumn, long-distance transportation from Hunan and Hubei was significant. In winter, air pollution in Nanning and Beihai was mostly affected by local emission sources, and that in Liuzhou and Guilin was mainly affected by long-distance transportation from the south and northeast of Guangxi.
“Not as Safe as I Believed”: Differences in Perceived and Self-Reported Cycling Behavior between Riders and Non-Riders
Authors: Useche Sergio A. , Gene-Morales Javier , Siebert Felix W. , Alonso Francisco , Montoro Luis
Published: February 2021

Cycling behavior remains a key issue for explaining several traffic causalities occurring every day. However, recent studies have shown how the assessment of the own safety-related behaviors on the road may substantially differ from how third parties assess them. Thus, the aim of this study was to evaluate the differences between cyclists’ self-reported behavior and the proxy-reported behavior that other (non-cyclist) road users perceive from bike riders. For this purpose, this study used data from two samples: (i) 1064 cyclists (M = 32.83 years) answering the Cycling Behavior Questionnaire—CBQ, and (ii) 1070 non-cyclists (M = 30.83 years) answering an adapted version of the CBQ for external raters—ECBQ. The results show how the self-reported and proxy-reported behaviors of cyclists greatly differ in terms of all behavioral factors composing the CBQ model, i.e., traffic violations, riding errors, and positive behaviors. Also, external raters (non-cyclists) are those targeting significantly riskier behaviors than those self-reported by cyclists. These discrepancies between perceived behaviors may give rise to conflicting viewpoints on the interaction between bicycle riders and other road users. Therefore, this study underscores the importance of behavioral awareness, providing highlights for future studies on the behavioral interaction between cyclists and other road users. Results can be used to improve the road safety of all road users by giving indications on self-and proxy-perceived safety-related behaviors and visibility of protective riding habits.
Integration of Household Water Filters with Community-Based Sanitation and Hygiene Promotion—A Process Evaluation and Assessment of Use among Households in Rwanda
Authors: Bradshaw Abigail , Mugabo Lambert , Gebremariam Alemayehu , Thomas Evan , MacDonald Laura
Published: February 2021

Unsafe drinking water contributes to diarrheal disease and is a major cause of morbidity and mortality in low-income contexts, especially among children under five years of age. Household-level water treatment interventions have previously been deployed in Rwanda to address microbial contamination of drinking water. In this paper, we describe an effort to integrate best practices regarding distribution and promotion of a household water filter with an on-going health behavior messaging program. We describe the implementation of this program and highlight key roles including the evaluators who secured overall funding and conducted a water quality and health impact trial, the promoters who were experts in the technology and behavioral messaging, and the implementers who were responsible for product distribution and education. In January 2019, 1023 LifeStraw Family 2.0 household water filters were distributed in 30 villages in the Rwamagana District of Rwanda. Approximately a year after distribution, 99.5% of filters were present in the household, and water was observed in 95.1% of filters. Compared to another recent water filter program in Rwanda, a lighter-touch engagement with households and supervision of data collection was observed, while also costing approximately twice per household compared to the predecessor program.
Monitoring Human Impact in Show Caves. A Study of Four Romanian Caves
Authors: Constantin Silviu , Mirea Ionuț Cornel , Petculescu Alexandru , Arghir Răzvan Adrian , Măntoiu Dragoș Ștefan , Kenesz Marius , Robu Marius , Moldovan Oana Teodora
Published: February 2021

(1) Background: Show caves are unique natural attractions and touristic traffic can trigger their degradation within a short time. There are no universal solutions to counter the effects of the touristic impact upon the cave environment and both protection protocols and management plans have to be established on a case-by-case basis. (2) Methods: The study includes four show caves from the Romanian Carpathians, where monitoring of the number of visitors, paralleled by the monitoring of the main physicochemical parameters of the air and water (CO2, temperature, humidity, drip rate, conductivity, and pH) was implemented. (3) Results and Conclusions: The results of the study have: established a set of basic principles to be enforced by the management of show caves and issued a set of preventive measures and instructions to be followed by the personnel and stakeholders of the caves.
Framing the EU: Big Data Analysis of South Korean News Media
Authors: Yoon Sung-Won , Chung Sae Won
Published: February 2021

Since 2010, both South Korea and the European Union have rapidly developed their diplomatic ties by completing a Free Trade Agreement and establishing a strategic partnership. However, perceptions of the European Union (EU) among Korean elites, media, and public have not been properly established. Against this backdrop, it is of value to examine the news media, which are the main sources of information for elites and the public. The purpose of this study is to examine the evolution of representations of the EU among South Korean media. To examine media representation, this study employed a quantitative methodology (semantic network analysis) for reviewing the data and a qualitative methodology (framing analysis) to interpret the results. The results of this study indicate that both conservative and liberal media employ conflict, economic consequences, and human interest framings to report EU issues. Despite some minor changes, neither type of media demonstrated clear differences in their EU coverage. The conclusion presented in this paper states that the South Korean media projects an incomplete picture of the EU to the Korean public. To overcome this issue, both South Korea and the EU should pay more attention to establishing accurate mutual perceptions to support a constructive future for their bilateral co-operation.
Exploration of the Impact of China’s Outward Foreign Direct Investment (FDI) on Economic Growth in Asia and North Africa along the Belt and Road (B&R) Initiative
Authors: Abdulsalam Alnoah , Xu Helian , Ameer Waqar , Abdo AL-Barakani , Xia Jiejin
Published: February 2021

This empirical study has examined the impact of Chinese investments, namely infrastructure, energy, services, other investment sectors, and trade openness on the economies of the 25 Asian and North African countries along with the Belt and Road (B&R) Initiative for a period of 2007 to 2016 using the Johansen Fisher Panel Cointegration Test, Panel Dynamic Ordinary Least Squares (PDOLS) model, and the Toda and Yamamoto technique for testing causality. The findings revealed cointegration among the variables and that the impact of Chinese investments on economic growth in the host countries is positive, but it has a weaker effect, to a certain extent, in all sectors of the host countries while trade openness positively impacts the countries. Furthermore, there is evidence of a unidirectional causality between some FDI (foreign direct investment) economies while the investment in services and other sectors does not cause economic growth in the host countries. Based on the results, the paper proposes that the host countries increase the FDI in the sector of infrastructure, energy, and technology to enhance their economies.
Towards Integration of Climate Disaster Risk and Waste Management: A Case Study of Urban and Rural Coastal Communities in the Philippines
Authors: Yoshioka Nagisa , Era Marlon , Sasaki Daisuke
Published: February 2021

Coastal communities are exposed to various environmental risks, including natural hazards such as storm surges and flooding. As climate change has escalated, the management of such dangers has grown in importance and urgency, particularly among states with long coast lines. Climate change adaptation and disaster risk reduction have attracted attention from policymakers in Southeast Asia, which is one of the most disaster-prone regions. Coastal community resilience, however, is not determined by climate and disaster risks alone, but by other factors as well. Waste pollution is an environmental threat that may affect those who are dependent on marine resources. These multiple factors contribute to coastal resilience and are, in fact, addressed separately as different issues; therefore, conflicts or synergies in respective countermeasures often become oversights in the policy-making processes. Through a case study of key Philippine stakeholders, including fishing communities, we identified impacts of climate change, natural hazards, and waste on the livelihoods of community residents and the interplay among these factors. We aim to better understand the situation on the ground and contribute by improving policy recommendations for coastal communities. An integrated approach to enhance coastal adaptation is critical for maximising the effectiveness of the limited resources of communities.
The Impact of Work Engagement on Future Occupational Rankings, Wages, Unemployment, and Disability Pensions—A Register-Based Study of a Representative Sample of Finnish Employees
Authors: Hakanen Jari J. , Rouvinen Petri , Ylhäinen Ilkka
Published: February 2021

Despite ample interest in the potential consequences of work engagement over the last two decades, the question of whether work engagement predicts proximal and more distal career-related outcomes has gained surprisingly little attention. Using Conservation of Resources (COR) theory and a sustainable careers framework, the aim of this study was to investigate whether work engagement predicts register-based outcomes of wages, moves in occupational rankings, unemployment, and disability pensions. We used nationally representative survey data (n = 4876; response rate 68.7%) on Finnish employees derived from the Quality of Work Life Survey (QWLS) and matched respondent data to the Finnish Longitudinal Employer–Employee Data (FLEED), which covered the period 2013–2015. We utilized ordinary least squares (OLS) and instrumental variable (IV) estimations to strengthen causality in the analyses. Even after controlling for outcomes at baseline and several covariates, e.g., health, we found that work engagement positively predicted future wages and the probability of rising in occupational rankings, and negatively predicted future unemployment and disability pensions. This study extends the scope of the possible benefits of work engagement for employees, organizations, and society at large and contributes to career research by indicating the importance of work engagement for objectively measured indicators of sustainable careers.
The Effects of Reverse Knowledge Spillover on China’s Sustainable Development: Sustainable Development Indicators Based on Institutional Quality
Authors: Dong Xiaoxu , Yu Cheon , Hwang Yun Seop
Published: February 2021

This study investigates how reverse knowledge spillover (RKS) generated through outward foreign direct investment (OFDI) promotes sustainable development in an investment home country. Economic, social, and environmental dimensions are the pillars of sustainable development and their indicators are developed upon the concept of institutional quality. To this end, we use a balanced panel of 30 Chinese Mainland provinces from 2003 to 2016 and employ a simultaneous equation model to analyze the data in order to observe the direct and indirect effects of OFDI-induced RKS on sustainable development. The current study adopts several indicators to capture the economic, social, and environmental aspects of sustainable development. Additionally, we classify RKS into two types, given the investment destinations in terms of developed economies and emerging economies. On the one hand, our findings confirm that OFDI-induced RKS from developed economies facilitates domestic innovation but negatively affects progress on social and environmental development. On the other hand, OFDI-induced RKS from emerging economies is not conducive to domestic innovation, but it directly fosters sustainable development.
Fault Diagnostic Methodologies for Utility-Scale Photovoltaic Power Plants: A State of the Art Review
Authors: Navid Qamar , Hassan Ahmed , Fardoun Abbas Ahmad , Ramzan Rashad , Alraeesi Abdulrahman
Published: February 2021

The worldwide electricity supply network has recently experienced a huge rate of solar photovoltaic penetration. Grid-connected photovoltaic (PV) systems range from smaller custom built-in arrays to larger utility power plants. When the size and share of PV systems in the energy mix increases, the operational complexity and reliability of grid stability also increase. The growing concern about PV plants compared to traditional power plants is the dispersed existence of PV plants with millions of generators (PV panels) spread over kilometers, which increases the possibility of faults occurring and associated risk. As a result, a robust fault diagnosis and mitigation framework remain a key component of PV plants. Various fault monitoring and diagnostic systems are currently being used, defined by calculation of electrical parameters, extracted electrical parameters, artificial intelligence, and thermography. This article explores existing PV fault diagnostic systems in a detailed way and addresses their possible merits and demerits.
Uses and Resources of Technologies by Mathematics Students Prior to COVID-19
Authors: Hossein-Mohand Hassan , Gómez-García Melchor , Trujillo-Torres Juan-Manuel , Hossein-Mohand Hossein , Boumadan-Hamed Moussa
Published: February 2021

Digital competence in education includes, amongst other things, the ability to create and manage content and information, mastery of communication tools, and solving technological problems. The access to information and communication technologies (ICT) for educational purposes could have affected the academic performance of mathematics students prior to COVID-19. The objectives were to (1) analyze family and economic factors that could influence the use of ICT for educational purposes, and (2) determine what attributes of Melilla’s mathematics students could explain an additional variation in the use of ICT for academic purposes before COVID-19. A total of 2018 students at secondary schools in Melilla were included in this cross-sectional study. A validated questionnaire with 14 questions regarding ICT and its uses and resources in mathematics learning was administered to students. Statistical analysis revealed that 63.81% of students used ICT to study mathematics and 36.19% did not. Of this percentage, 30.22% failed mathematics and 68.43% reported that ICT does not help them improve their grades. The use of ICT to study mathematics was influenced by students’ perceptions of its usefulness for their academic performance and learning. We also found an association with educational level and time spent on the Internet.
Will Farmers Accept Lower Gross Margins for the Sustainable Cultivation Method of Mixed Cropping? First Insights from Germany
Authors: Bonke Vanessa , Michels Marius , Musshoff Oliver
Published: February 2021

A decline in the legume cultivation has contributed to the biodiversity loss within the agricultural production across Europe. One possibility to include legumes into the production and promote sustainability is mixed cropping with legumes and non-legumes. However, the adoption of mixed cropping is challenging for farmers and information about the profitability is scarce. If mixed cropping should become a widely established production method, it is essential to gain an understanding of famers’ evaluation of the profitability mixed cropping needs to reach. Therefore, this article provides first empirical insights into farmers stated willingness to accept gross margin changes compared to current production possibilities. Based on a survey with results from 134 German non-adopters conducted in 2018 we can distinguish conventional farmers with a positive, neutral and negative willingness to accept reductions in gross margins as the trade-off for ecological benefits. Using an ordered logistic model we find that risk attitude, risk perception, the number of measures performed for ecological focus areas, the farmer’s age and being located in the south of Germany influence their willingness to accept gross margin changes compared to currently produced cereals.
Green Infrastructure in the Time of Social Distancing: Urban Policy and the Tactical Pandemic Urbanism
Authors: Herman Krzysztof , Drozda Łukasz
Published: February 2021

The COVID-19 pandemic generated a number of changes in the functioning of urban areas all over the world and had a visible impact on the use of green infrastructure, including city parks. The study discusses and compares operation and use of two such parks located in Wellington, New Zealand and Warsaw, Poland by adopting “pandemic urban ethnography”, an approach that includes autoethnography, interviews with users, non-participant observation, and analysis of social media content. As indicated by the findings of the study, the importance of less rigidly designed, multifunctional spaces that give their users freedom of “tactical” adjustments, significantly grows during times of lockdown and “social distancing”. During such a crisis, the management and everyday use of urban parks are highly related to urban policies. The article provides insight into how those policies impact the functional values of green infrastructure confronting it with user-generated adaptations and the landscape design itself. The global health emergency showed how access to green areas becomes a crucial determinant on environmental justice while proving the significance of “tactical pandemic urbanism” as both a design and management method.
Prediction Interval Estimation Methods for Artificial Neural Network (ANN)-Based Modeling of the Hydro-Climatic Processes, a Review
Authors: Nourani Vahid , Paknezhad Nardin Jabbarian , Tanaka Hitoshi
Published: February 2021

Despite the wide applications of artificial neural networks (ANNs) in modeling hydro-climatic processes, quantification of the ANNs’ performance is a significant matter. Sustainable management of water resources requires information about the amount of uncertainty involved in the modeling results, which is a guide for proper decision making. Therefore, in recent years, uncertainty analysis of ANN modeling has attracted noticeable attention. Prediction intervals (PIs) are one of the prevalent tools for uncertainty quantification. This review paper has focused on the different techniques of PI development in the field of hydrology and climatology modeling. The implementation of each method was discussed, and their pros and cons were investigated. In addition, some suggestions are provided for future studies. This review paper was prepared via PRISMA (preferred reporting items for systematic reviews and meta-analyses) methodology.
Design of a Secure Energy Trading Model Based on a Blockchain
Authors: Ko Hoon , Praça Isabel
Published: February 2021

This study proposes a Secure Energy Trading Model design based on a Blockchain is an attempt to overcome the weak security and instability of the current energy trading system. The focal point of the design lies in the user-security features of the model, such as user authentication and identification, and the blockchain that every transaction goes through. The user-security feature provides a safer system for peer-to-peer energy trade, and the blockchain technology ensures the reliability of the trading system. Furthermore, the Secure Energy Trading Model supports a decentralized data control mechanism as a future measure for handling vast amounts of data created by IoT.
Employment Protection and Banking Power: Evidence from Adoption of Wrongful Discharge Laws
Authors: Yin Desheng , Zhen Xinting
Published: February 2021

Human capital and labor costs are crucial for the sustainable growth of organizations, and take a vital role in affecting bank efficiency and banking power. This research empirically investigates whether labor employment protection affects banking power. The analysis exploits the staggered adoption of Wrongful Discharge Laws (WDLs) as a quasi-exogenous shock to employment protection. A Difference-In-Difference research design is implemented to study the impacts of WDLs on banking power, and the main results show that there exists a decline of banking power for commercial banks headquartered in states that adopt employment protection. This study further tests the main mechanism through which WDLs affect banking power and finds that the impaired banking power is primarily due to cost inefficiency but not profit inefficiency. Moreover, the adoption of wrongful discharge laws increases commercial banks’ labor costs and induces bank risk-taking.
Corporate Social Responsibility and Sustainability. A Bibliometric Analysis of Their Interrelations
Authors: Meseguer-Sánchez Víctor , Gálvez-Sánchez Francisco Jesús , López-Martínez Gabriel , Molina-Moreno Valentín
Published: February 2021

Traditional economic system has brought important negative implications regarding environmental development, as well as an unequal distribution of wealth, which has led to ecological disasters and population imbalances. Considering the existence of unequal opportunities and access to resources in a global economy, it would be relevant to study the interrelations between the concepts of Sustainability and Corporate Social Responsibility (CSR). Global and multifactorial issues require the review of fieldworks and their connections. From this perspective, the present research aims to analyze the relationships between the concepts of Corporate Social Responsibility and Sustainability in order to understand the advances of current scientific production and future lines of research. In this way, there is a considerable increase of interest in this line of research, highlighting García-Sánchez as the most productive author, Business, Management and Accounting as the most studied topic, and Sustainability Switzerland as the most productive journal. The country with the most publications and citations is the United States, and the most productive institution is Universidad de Salamanca. Future lines of research should focus on the social dimension and its possibilities in the field of Circular Economy. Finally, a line of research is proposed that also includes the proposals from the 2030 Agenda for Sustainable Development and its 17 Sustainable Development Goals.
Mechanism Underlying the Formation of Virtual Agglomeration of Creative Industries: Theoretical Analysis and Empirical Research
Authors: Chen Xu , Liu Chunhong , Gao Changchun , Jiang Yao
Published: February 2021

Industrial agglomeration serves as an effective model for developing the creative economy and manifests itself as the interdependence of creative subjects in geographical space. The traditional methods of resource agglomeration have undergone tremendous changes due to the development of digital technology. These transformations have given birth to a new organizational form of the virtual agglomeration of creative industries. The present work uses field interviews and grounded theoretical research methods to construct a theoretical model of this new organizational phenomenon. Questionnaire surveys and empirical testing using structural equation models are here combined to systematically analyze the formation mechanism of the virtual agglomeration of creative industries. The results show that digital technology, virtual platforms, digital creative talents, digitization of cultural resources, and government policies have driven the formation of the virtual agglomeration of creative industries. This has been achieved through network collaboration, freedom of participation, and trust guarantee mechanisms. The effect of emerging consumer demand on the virtual agglomeration of creative industries is not significant. In addition, the implications of this research are also considered and discussed.
Adaptive-Hybrid Harmony Search Algorithm for Multi-Constrained Optimum Eco-Design of Reinforced Concrete Retaining Walls
Authors: Yücel Melda , Kayabekir Aylin Ece , Bekdaş Gebrail , Nigdeli Sinan Melih , Kim Sanghun , Geem Zong Woo
Published: February 2021

In the optimum design of reinforced concrete (RC) structural members, the robustness of the employed method is important as well as solving the optimization problem. In some cases where the algorithm parameters are defined as non-effective values, local-optimum solutions may prevail over the existing global optimum results. Any metaheuristic algorithm can be effective to solve the optimization problem but must give the same results for several runs. Due to the randomization nature of these algorithms, the performance may vary with respect to time. The essential and novel work done in this study is the comparative investigation of 10 different metaheuristic algorithms and two modifications of harmony search (HS) algorithm on the optimum cost design of RC retaining walls constrained with geotechnical and structural state limits. The employed algorithms include classical ones (genetic algorithm (GA), differential evaluation (DE), and particle swarm optimization (PSO)), proved ones on structural engineering applications (harmony search, artificial bee colony, firefly algorithm), and recent algorithms (teaching–learning-based optimization (TLBO), flower pollination algorithm (FPA), grey wolf optimization, Jaya algorithm (JA)). The modifications of HS include adaptive HS (AHS) concerning the automatic change of algorithm parameters and hybridization of AHS with JA that is developed for the investigated problem. According to the numerical investigations, recent algorithms such as TLBO, FPA, and JA are generally the best at finding the optimum values with less deviation than the others. The adaptive-hybrid HS proposed in this study is also competitive with these algorithms, while it can reach the best solution by using a lower population number which can lead to timesaving in the optimization process. By the minimization of material used in construction via best optimization, sustainable structures that support multiple types of constraints are provided.