bluuebunny/crossref_metadata_2025 huggingface dataset:
Mental Well-Being and the Influence of Place: Conceptual Approaches for the Built Environment for Planning Healthy and Walkable Cities
Authors: Zumelzu Antonio , Herrmann-Lunecke Marie Geraldine
Published: June 2021

Promotion of healthy cities has prompted urban planners and designers to build new conceptual frameworks to improve the design of public spaces, in which mental well-being emerges as a fundamental concept. Mental well-being is related to spatial design, with increasing attention being paid to the built environment as an important predictor of mental well-being. The objective of this article is to advance and contribute new knowledge about the characteristics of the built environment and its potential benefits for mental well-being. A meta-analysis is carried out on various empirical and theoretical approaches from the literature. Using a WOS database as a case study, a methodology based on a bibliometric analysis is proposed to examine which elements of the built environment impact mental well-being in research between 1975 and 2020, using the HistCites and VOSviewer tools. The results show that there are six thematic axes related to the built environment that would favor greater mental well-being in public spaces: walkability, density, spatial design, environmental noise, green areas and social interaction. The six thematic axes are critically analyzed and integrated into a conceptual framework to address the impacts of the built environment on mental well-being in the planning of cities. It concludes with a discussion on the implications of these concepts for urban public policy and the promotion of healthier and more sustainable and walkable environments in Latin American cities.
Maximizing Benefits to Nature and Society in Techno-Ecological Innovation for Water
Authors: Dekker Isaac , Sharifyazd Shabnam , Batung Evans , Dubrawski Kristian L.
Published: June 2021

Nature-based solutions (NbS) build upon the proven contribution of well-managed and diverse ecosystems to enhance resilience of human societies. They include alternatives to techno-industrial solutions that aim to enhance social-ecological integration by providing simultaneous benefits to nature (such as biodiversity protection and green/blue space) and society (such as ecosystem services and climate resiliency). Yet, many NbS exhibit aspects of a technological or engineered ecosystem integrated into nature; this techno-ecological coupling has not been widely considered. In this work, our aim is to investigate this coupling through a high-level and cross-disciplinary analysis of NbS for water security (quantity, quality, and/or water-related risk) across the spectrums of naturalness, biota scale, and benefits to nature and society. Within the limitations of our conceptual analysis, we highlight the clear gap between “nature” and “nature-based” for most NbS. We present a preliminary framework for advancing innovation efforts in NbS towards maximizing benefits to both nature and society, and offer examples in biophysical innovation and innovation to maximize techno-ecological synergies (TES).
Consumer Financial Knowledge and Cashless Payment Behavior for Sustainable Development in Poland
Authors: Świecka Beata , Terefenko Paweł , Wiśniewski Tomasz , Xiao Jingjian
Published: June 2021

Financial knowledge is the main element of financial literacy, which is important for the sustainable development of individuals and society. Sustainability is a complex concept that spans many fields, including financial knowledge for all ages. Financial knowledge requires significant scientific research showing its impact on individuals and the economy, including non-cash payments. Consumer payment knowledge and its association with consumer financial behavior have long been a matter of widespread interest by researchers, but no in-depth, empirically based scientific research has been completed for Poland. The objective of this study was to examine factors associated with cashless payment behavior with an emphasis on the role of consumer financial knowledge. A total of 1100 interviews were carried out with Polish nationals aged 15 and above. The collected data were analyzed with the use of statistical methods, including analysis of variances (ANOVA), in order to examine consumers’ financial knowledge by basic economic and non-economic factors. Additionally, a data-mining method known as Random Forests was implemented for finding the variable importance in correlations between consumer financial knowledge and preferred methods of payment. The results revealed the diversity of factors influencing consumer behavior. Among the consumers’ personal traits, financial knowledge was one of the most important determinants of their payment choices. The results have implications for the design of payment processes. The results can be used by central banks to determine the directions of financial inclusion, as well as for stakeholders in the payments market.
Presence and Quantification of Microplastic in Urban Tap Water: A Pre-Screening in Brasilia, Brazil
Authors: Pratesi Claudia B. , A. L. Santos Almeida Maria Aparecida , Cutrim Paz Geysa S. , Ramos Teotonio Marcelo H. , Gandolfi Lenora , Pratesi Riccardo , Hecht Mariana , Zandonadi Renata Puppin
Published: June 2021

Plastic pollution is a rapidly growing environmental and human health crisis, with no sign of improvement. From 2012 to 2020, the number of studies on plastic pollution increased, and macro to nano-sized plastics have been documented in the most remote biomes of the planet. Studies have shown contamination by microplastics (MPs) in various types of food consumed by humans, including seafood, honey, sugar, salt, tap and bottled water and beer. This study’s objective was to detect the possible contamination by MPs in drinking water samples collected from two main residential and commercial areas of Brasilia. A total of 32 samples (500 mL) of tap water were collected from residential and commercial areas. Samples were processed and transferred to a Sedgewick-Rafter counting cell chamber. The presence of MP particles was analyzed using a Nikon Eclipse fluorescence microscope. MPs were found in 100% of the samples. The mean microplastic particles per 500 mL found in the South Wing area was 97 ± 55, while the mean number of particles in the North Wing area was 219 ± 158, and the MPs found ranged in size from 6–50 microns. The study results reveal a disturbing amount of MP particles in Brasilia’s tap water. This surprising number of particles in residential and commercial tap water is especially considering that tap water is not the only source of MPs to which people are exposed.
Knowledge System Supporting ITS Deployment
Authors: Přibyl Pavel , Janota Aleš , Spalek Juraj , Faltus Vladimír
Published: June 2021

Intelligent transportation systems are one of the most rapidly evolving areas, requiring an appropriate response from standardization bodies and adequate support from EU regulations. This results in a high and ever-expanding volume of technical standards, which makes their practical use difficult and the harmonization process unsustainable. Therefore, standardization bodies are officially required to supply public information, based on which potential users can decide whether they need to buy or use a particular standard or not. The authors demonstrate how to solve this problem and achieve sustainability in terms of operating in a more intelligent and efficient manner. The proposed solution relies on the creation of standard extracts using a hybrid method that combines syntactic and semantic analysis and assumes human expert involvement. The paper presents the practical experience and results obtained from a long-term national project. A practical example is included so that the reader can comprehend a basic idea of the achieved results. The authors believe the proposed method can be adopted across other professional domains and other European countries.
Repository of Deep Renovation Packages Based on Industrialized Solutions: Definition and Application
Authors: Pernetti Roberta , Pinotti Riccardo , Lollini Roberto
Published: June 2021

Renovation Wave aims to boost the uptake of deep renovation towards the CO2 emission targets for 2030. In this perspective, there is the need of technologies and solution sets for improving the deep renovation process as well as demonstrating the performances for supporting the stakeholders in the decision-making process. To cope with the issue, this work presents a methodology for setting up a repository of building deep renovation packages that integrates industrialised facade technologies and more traditional solutions. The performances feeding into the repository have been evaluated by means of transient detailed simulations on a set of reference buildings in representative European climate conditions. The renovation packages are evaluated in terms of key performance indicators dealing with five areas: energy, comfort, pollutant emissions, cost, and renovation time. The defined repository includes 289 assessed technology packages and associated performances across Europe, providing a comprehensive support to identify the most effective solutions according to the user needs. The paper presents the application of the repository with two examples of stakeholders’ decision-making paths for selecting the deep renovation packages according to different priorities and expected targets.
Bootstrapped Ensemble of Artificial Neural Networks Technique for Quantifying Uncertainty in Prediction of Wind Energy Production
Authors: Al-Dahidi Sameer , Baraldi Piero , Zio Enrico , Montelatici Lorenzo
Published: June 2021

The accurate prediction of wind energy production is crucial for an affordable and reliable power supply to consumers. Prediction models are used as decision-aid tools for electric grid operators to dynamically balance the energy production provided by a pool of diverse sources in the energy mix. However, different sources of uncertainty affect the predictions, providing the decision-makers with non-accurate and possibly misleading information for grid operation. In this regard, this work aims to quantify the possible sources of uncertainty that affect the predictions of wind energy production provided by an ensemble of Artificial Neural Network (ANN) models. The proposed Bootstrap (BS) technique for uncertainty quantification relies on estimating Prediction Intervals (PIs) for a predefined confidence level. The capability of the proposed BS technique is verified, considering a 34 MW wind plant located in Italy. The obtained results show that the BS technique provides a more satisfactory quantification of the uncertainty of wind energy predictions than that of a technique adopted by the wind plant owner and the Mean-Variance Estimation (MVE) technique of literature. The PIs obtained by the BS technique are also analyzed in terms of different weather conditions experienced by the wind plant and time horizons of prediction.
Regional Comparison and Strategy Recommendations of Industrial Hemp in China Based on a SWOT Analysis
Authors: Zhao Haohan , Xiong Heping , Chen Jikang
Published: June 2021

The hemp (Cannabis sativa L.) industry has great potential growth due to its multifaceted characteristics, however, challenged by the imbalance between the rapid agricultural production growth and the inadequate market. Against the manifesting functional overlapping and homogeneous competition among regions and nations, multi-regional synergistic development strategies of the hemp industry are critical for a sustainable agricultural-industrial system. To propose development strategies and R&D priorities of the hemp agricultural system for multi-regional synergistic development of the hemp industry. A nationwide survey and a SWOT analysis were carried out within five major production provinces in China, which is one of the largest producers of hemp, including Yunnan, Heilongjiang, Shanxi, Inner Mongolia and Jilin. Legislation, distribution, yield and utilization status and their effect on the development of industrial hemp in China were discussed. The SWOT analysis suggested that the negative effects of weaknesses and threats are stronger than the positive effects of strengths and opportunities. The modern hemp industry is still in an early phase of development characterized by the emerging legislation, growing acreage, initial researches and a few applications that pertain to mainstream use in China. Therefore, strategy recommendations, including top-level design, participating in global competition, promoting innovation and enhancing public cooperation, were proposed. We provide strategies for enhancing the hemp agricultural-industrial system, thus enabling policy makers and researchers to master the priority of promoting economic corporation and agricultural science and technology innovation.
Soil and Water Management Practices as a Strategy to Cope with Climate Change Effects in Smallholder Potato Production in the Eastern Highlands of Ethiopia
Authors: Woldeselassie Ashenafi , Dechassa Nigussie , Alemayehu Yibekal , Tana Tamado , Bedadi Bobe
Published: June 2021

Low soil fertility and climate change-induced low soil moisture are major problems constraining potato (Solanum tuberosum L.) production in the eastern highlands of Ethiopia. Climate events are projected to become more pervasive. Therefore, research was conducted with the objective of analyzing smallholder potato farmers’ adaptation strategies to cope with the issues of low soil fertility and low soil moisture that are exacerbated by climate change. The research involved surveying eight purposively selected peasant associations in four major potato-producing districts in east and west Hararghe zones. The survey employed a multistage sampling procedure. Data were collected from 357 households using a standard questionnaire, focus group discussions, and key informant interviews. The data were analyzed using descriptive statistics, index ranking, and analysis of variance for survey data. The observed climate data for the period of 1988 to 2017 were analyzed. The Mann-Kendall trend test, standard anomaly index, precipitation concentration index, and coefficient of variation were used to analyze the observed climate data. The survey results revealed the farmers, on average, applied 159 kg urea, 165 kg NPS (63 kg P2O5, 31 kg N and 12 kg S), and 1.8 ton of farmyard manure per hectare for producing potatoes. Most smallholder farmers (68.91%) used supplemental irrigation for potato production during the main growing season. The method of irrigation the farmers used was overwhelmingly the furrow method (92.72%). Analyzing the climate data showed that the mean annual temperature increased whereas the mean annual rainfall decreased during the 30-year period. It was concluded that climate change is markedly affecting potato production; in response to this, most of the farmers used supplemental irrigation to cope with moisture stress, all of them applied mineral fertilizers, and some of them additionally applied organic fertilizer to alleviate the problems of soil degradation and nutrient depletion. This implies that soil moisture and nutrient stresses are the major problems constraining potato production against which the farmers need policy and institutional supports to consolidate their coping strategies and build resilience against climate change.
In-Situ Water Quality Observations under a Large-Scale Floating Solar Farm Using Sensors and Underwater Drones
Authors: de Lima Rui L. Pedroso , Paxinou Katerina , C. Boogaard Floris , Akkerman Olof , Lin Fen-Yu
Published: June 2021

The rapid implementation of large scale floating solar panels has consequences to water quality and local ecosystems. Environmental impacts depend on the dimensions, design and proportions of the system in relation to the size of the surface water, as well as the characteristics of the water system (currents, tidal effects) and climatic conditions. There is often no time (and budget) for thorough research into these effects on ecology and water quality. A few studies have addressed the potential impacts of floating solar panels, but often rely on models without validation with in situ data. In this work, water quality sensors continuously monitored key water quality parameters at two different locations: (i) underneath a floating solar park; (ii) at a reference location positioned in open water. An underwater drone was used to obtain vertical profiles of water quality and to collect underwater images. The results showed little differences in the measured key water quality parameters below the solar panels. The temperature at the upper layers of water was lower under the solar panels, and there were less detected temperature fluctuations. A biofouling layer on the floating structure was visible in the underwater images a few months after the construction of the park.
Legal Protection Schemes for Free-Flowing Rivers in Europe: An Overview
Authors: Schäfer Tobias
Published: June 2021

Most of Europe’s rivers are highly fragmented by barriers. This study examines legal protection schemes, that specifically aim at preserving the free-flowing character of rivers. Based on national legislation, such schemes are found in seven European countries: Slovenia, Finland, Sweden, France and Spain as well as Norway and Iceland. The study provides an overview of the individual schemes and their respective scope, compares their protection mechanisms and assesses their effectiveness. As Europe’s the remaining free-flowing rivers are threatened by hydropower and other development, the need for effective legal protection, comparable to the designation of Wild and Scenic Rivers in the United States, is urgent. Similarly, any ambitious strategy for the restoration of free-flowing rivers should be complemented with a mechanism for their permanent protection once dams and other barriers are removed. The investigated legal protection schemes constitute a starting point for envisioning a more cohesive European network of strictly protected free-flowing rivers.
Self-Assessment of the Entrepreneurial Competence of Teacher Education Students in the Remote Study Process
Authors: Slišāne Agnese , Lāma Gatis , Rubene Zanda
Published: June 2021

Competence-based education has been in the spotlight for several years, and it is a topical issue in the European Union as well as marking the reform of the Latvian education system. The Council of the EU considers entrepreneurial competence to be one of the key competences for lifelong learning, and Latvia’s school reforms require teachers to create a study process where students develop entrepreneurial competence. This publication presents research on the self-assessed entrepreneurial competence of teacher education students to find out whether there is any correlation between their assessment of entrepreneurial competence and their readiness/ability to develop this competence in their students, as well as which methods/activities they see as suitable to do so in the classroom and the remote study process. An online survey using the QuestionPro platform was used to collect the data. The questionnaire was fully completed by 157 pedagogy students from various higher education institutions, and it consisted of four question blocks: demographic and socio-cultural questions, entrepreneurial competence, digital competence, and open-ended questions. The data provided by the questionnaire developed for this research showed that students’ self-assessed entrepreneurial competence in a remote study process rated their digital competences highest, followed by their entrepreneurial competences. The results indicate that students are sufficiently prepared to be able to further develop their entrepreneurial competence in the remote study process. From the data, it can be concluded that higher education needs to focus on the development of entrepreneurial competence and should also supplement the methodological knowledge of students to improve their readiness to teach entrepreneurial competences to others. It should also be noted that there is a strong correlation between students’ entrepreneurial competence and their readiness to teach entrepreneurial competences to others. An online survey using the QuestionPro platform was used to collect the data. The questionnaire was fully completed by 157 pedagogy students from various higher education institutions, and it consisted of four question blocks: demographic and socio-cultural questions, entrepreneurial competence, digital competence, and open-ended questions.
Empirical Evidence of Risks of Public-Loan Finance: Comparison between Self-Employers and SMEs
Authors: Ji Kwangchul , Ha Hong-Youl
Published: June 2021

Public financial loans are very complex. However, previous research has largely neglected the effective management of public funds. More specifically, how to maintain the optimal balance between small businesses and loan providers for managing public funds over time remains unclear. Moreover, little is known about how public funds should be managed to increase survival periods, which are directly related to these institutions’ financial stability. This study tests the difference between public fund borrowers and providers from perspectives on their long-term survival and compares survival periods using 499,554 guaranteed loans. The findings show that 85% guarantee ratios and high credit ratings help increase survival periods. The findings also show that individual-based borrowers, such as self-employers, have a strong tendency to survive much longer than SMEs. Finally, our study extends the literature by offering a risk theory perspective on public financial institutions that explains how guarantee ratios and credit ratings affect the survival periods of borrowers, resulting in these institutions’ financial soundness.
An Analytical Framework to Study Multi-Actor Partnerships Engaged in Interactive Innovation Processes in the Agriculture, Forestry, and Rural Development Sector
Authors: Cronin Evelien , Fosselle Sylvie , Rogge Elke , Home Robert
Published: June 2021

Communities of practice (CoPs) interact with a range of external stakeholders who collectively influence the direction of the community and the achievement of its goals. In the case of multi-actor co-innovation partnerships, which are perceived as a type of combination between a community of practice and innovation network in this paper, internal and external interactions consequently influence the ability of these partnerships to co-innovate. The aim of this contribution is to develop an analytical framework to understand the factors and processes that enable or hinder interactions, both within and external to multi-actor co-innovation partnerships. The analytical framework was built around interactions with funding mechanisms, external stakeholders, the context/environment, and societal challenges, along with interactions within the partnership. Each of these five interactions is influenced by structures and capacity, along with how these combine to overcome the challenges faced by the partnership. For this study, 30 case study multi-actor co-innovation partnerships from across Europe were selected and analysed according to the framework. The results show that interactions with funding bodies can lead to partnerships adapting to what they perceive to be the goals of the funding body, and sometimes to the overpromising of expected outputs in an effort to win scarce funding. The reflection of societal needs in the goals of funding bodies could thereby capitalize on the motivations and aspirations of partnerships to combine socio-economic and environmental benefits at both individual and societal levels. Factors that enable partnerships to achieve their own goals are commonly based around the inclusion or recruitment of experienced partners with existing networks, in which the partnership may be embedded, that can facilitate internal collaboration and navigate the external environments, such as political structures and market conditions.
Sustainable Governance of the Korean Freight Transportation Industry from an Environmental Perspective
Authors: Choi Yongrok , Wang Haohao , Yang Fan , Lee Hyoungsuk
Published: June 2021

The transportation industry is one of the major sectors for air pollution. In particular, the freight transportation sector possesses the biggest share of air pollution in South Korea. Therefore, it is required to evaluate current environmental performance of this sector and predict regulation impact on the local economy for a sustainable future. Based on the sustainable governance, each local government should take actions or change the paradigm of the regulatory policies. Thus, this study examines the environmental performance of the freight transportation industry with air pollution of PM2.5 and NOx in 16 Korean local governments, based on the non-radial directional distance function (NDDF). On average, the freight transportation sector shows very low performance with a high potential value of 0.649. Furthermore, no significant uptrend was witnessed during the sample period (2012 to 2017), implying a lack of sustainable governance. Some local governments such as Seoul (0.9301) and Busan (0.9709) show high efficiency, and Gwangju shows a slow but increasing trend, while most of other cities are very low in their environmental performance of freight transportation industries. Even Seoul and Busan may not maintain their sustainable performance, because outperforming high sales revenue in these cities could lead to high efficiency even with high levels of aggravating air pollution. Therefore, it is meaningful to empirically test the sustainable feasibility in terms of regulatory costs, reflecting the opportunity costs to select increased regulation toward a sustainable, higher environment-friendly efficiency. Environmental regulation causes very low, negligible costs in most of the local governments, except Seoul, implying that a more regulatory regime will bring in the sustainable governance of the environmental efficiency (Porter hypothesis) for the freight transportation sector for these local governments. However, Seoul will endure a heavy economic burden if heavier environmental regulations are posed on its freight transport sector. Stepwise and fine tuning of regulations is required for Seoul. In contrast to Seoul, Incheon needs drastic reformation since it shows low efficiency with low regulatory cost.
Sustainable Education Using Augmented Reality in Vocational Certification Courses
Authors: Lee Chia-Jung , Hsu Yen
Published: June 2021

In the field of vocational education, no studies have examined the use of augmented reality (AR) learning technologies in the teaching of cosmetology. However, this study proposed the “Makeup AR” learning approach and conducted a quasi-experiment to examine the interaction effect between said approach and students with active and reflective learning styles. The research participants were 70 students from a vocational senior high school. The experimental group comprised 36 participants who were taught using Makeup AR, and the control group comprised 34 participants who were taught using an e-book. The results revealed that the use of Makeup AR improved students’ learning effectiveness. The proposed approach also effectively enhanced students’ self-efficacy and reduced their cognitive load. The students with a reflective learning style had a higher cognitive load than those with an active learning style when using the e-book learning approach. No difference in learning motivation was noted between the experimental and control groups. Overall, Makeup AR is suitable for makeup design certification courses in vocational senior high schools and can enhance learning effectiveness, improve students’ self-efficacy, and reduce cognitive load. This study suggests that the implementation of AR technology in certification courses can be beneficial to learning outcomes.
How Reducing Discomfort Impacts Peer Assessments of Preservice Teachers
Authors: Lim Woong , Son Ji-Won , Kang Seung-Hae
Published: June 2021

This study examined the effects of a feedback model called Peer Review of Teaching (PRT) on preservice teachers’ learning. In this model, preservice teachers (n = 81) participated in critical feedback on teaching demonstrations in the absence of presenters. Presented are four themes of the experience of teaching and sharing feedback including how the absence of a peer presenter impacted feedback process. Our findings suggest that teacher educators create intellectually safe and sensitive learning opportunities with critical feedback for preservice teachers to engage in a professional practice of peer assessments.
Teachers’ Perception towards the Use of Quizizz in the Teaching and Learning of English: A Systematic Review
Authors: Lim Thomas Mason , Yunus Melor Md
Published: June 2021

The teaching and learning of English as a second language have always been emphasized by the Ministry of Education (MOE). In the Malaysia Education Blueprint (2013–2025), among the many goals is to produce learners who can comprehend the language for various purposes, including for information and enjoyment. Over the years, the teaching and learning of English have changed from conventional chalk-and-talk methods to modern methods that involve various platforms such as Quizizz, which is free and easy to use. This systematic literature review focuses on teachers’ perception on the use of Quizizz in the teaching and learning of English. Using the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) review methodology, a total of 45 articles related to the use of Quizizz in the English language classroom were identified from the ERIC and Google Scholar databases. Based on the articles from the year 2017 to 2021, the results show that the mixed-method research design was most used to gather teachers’ perspectives on the use of Quizizz in the teaching and learning of English. Overall, the results of this study show that Quizizz is accepted positively among teachers due to its effectiveness, feasibility, ease of use, and motivating nature for learners. As a suggestion for future research, more focus can be put on investigating the effectiveness of Quizizz from the perspective of parents and issues related to the implementation of gamified learning, such as Internet connection and device availability.
Factors Affecting Green Entrepreneurship Intentions in Business University Students in COVID-19 Pandemic Times: Case of Ecuador
Authors: Alvarez-Risco Aldo , Mlodzianowska Sabina , García-Ibarra Verónica , Rosen Marc A. , Del-Aguila-Arcentales Shyla
Published: June 2021

This research assesses the influence of education development support, conceptual development support, and country support through entrepreneurial self-efficacy over green entrepreneurial intentions. A total of 532 business students in Ecuador participated in an online survey. Eight questions were focused on demographic information, and twenty-seven questions evaluated the green entrepreneurship intentions of students. An SEM-PLS technical analysis was used. The results showed that educational support for developing entrepreneurship (0.296), conceptual support for developing entrepreneurship (0.123), and country support for entrepreneurship (0.188) had a positive influence on entrepreneurial self-efficacy, and that entrepreneurial self-efficacy had a positive influence (0.855) on gren entrepreneurial intentions. The model explained 73.1% of the green entrepreneurial intentions. Outcomes of the bootstrapping test were used to evaluate if the path coefficients are significant. This study showed the impacts of education development support, conceptual development support, and country support on the entrepreneur’s ability to carry out green entrepreneurship were positive. This information can help universities develop strategic plans to achieve ecological ventures and ensure students have the necessary skills to do so on campus. The research findings also may be helpful for the governments in establishing new norms to promote entrepreneurship. The novelty is based on using the partial least square structural equation modeling (PLS-SEM) technique.
A Holistic Strategy for Successful Photovoltaic (PV) Implementation into Singapore’s Built Environment
Authors: Kosorić Vesna , Lau Siu-Kit , Tablada Abel , Bieri Monika , M. Nobre André
Published: June 2021

Based on the findings from a recent study by the authors which examined factors affecting diffusion of photovoltaics (PV), while comprehensively considering the local PV and construction industry as well as characteristics of the built environment, this paper proposes a holistic strategy for PV implementation into Singapore’s built environment. It consists of (1) a multilevel mechanism framework, encompassing eleven mechanism categories of instruments and activities and (2) a general design framework including design principles, general project instructions and the main design guidelines. Relying on a survey conducted among PV experts on established mechanisms, the present study suggests that building codes (e.g., fire safety, structural safety, etc.) and initiatives and incentives related to PV/building-integrated photovoltaics (BIPV) should be the highest priority for authorities, followed by assessment of BIPV/PV properties, working toward social acceptance, conducting research projects and information exchange, and education and training activities. Considering all three pillars of sustainability, the design framework is based on the following interrelated design principles: (1) compatibility and coherence with the local context, (2) technical soundness, (3) economic viability, (4) user-centered design, (5) connecting with community and socio-cultural context, and (6) adaptability and flexibility. Despite Singapore’s scarcity of land, the established design guidelines cover a wide spectrum of solutions, including PV integration into both buildings and non-building structures. The synthesis of the two interconnected and inseparable frameworks aims to create an environment conducive to long-term widespread PV integration and stimulate the deployment of BIPV, which should help Singapore and other cities reduce their dependency on imported fossil fuels, while also making them more livable and enjoyable.
Benchmark of the Trends of Spatial Inequality in World Megaregions
Authors: Liu Ziqi , Zhang Ming , Liu Liwen
Published: June 2021

There have been growing concerns around the world over the rising spatial inequality (SI) amid fast and vast globalization. This paper presents an effort to benchmark the conditions and trends of spatial inequality in 37 megaregions in the United States, Europe, and China. Furthermore, the study selected three megaregion examples and analyzed the effect of developing high-speed rail (HSR) as an infrastructure investment strategy on reshaping the spatial pattern of job accessibility. The study measures spatial inequality with the Theil index of gross regional product and with the rank-size coefficient of polycentricity. Results show that spatial inequality exists and varies in magnitude within and between megaregions. On average, Chinese megaregions exhibited the level of spatial inequality about two times or more of those in the U.S. and European megaregions. The decade between 2006 and 2016 saw a decrease in the Theil index measure of megaregional inequality in China, but a slight increase in the United States and Europe. Fast growing megaregions exhibit high levels and rising trends of spatial inequality regardless of the country or continent setting. HSR helps improve mobility and accessibility; yet the extent to which HSR reduces spatial inequality is context dependent. This study presents a first attempt to assess and compare the spatial inequality conditions and trajectories in world megaregions aiming at promoting international learning.
Global Action on SDGs: Policy Review and Outlook in a Post-Pandemic Era
Authors: Cheng Yi , Liu Haimeng , Wang Shaobin , Cui Xuegang , Li Qirui
Published: June 2021

The 2030 Agenda for Sustainable Development provided brand new goals and action targets for human well-being and development, but the COVID-19 pandemic has cast a shadow on the implementation of the Sustainable Development Goals (SDGs). It is therefore essential to provide a reference for making policy adjustments and transformations to promote the realization of SDGs in the post-pandemic era. Based on a literature review of the progress and policies of SDGs across countries worldwide, we find that research on sustainable policies has rapidly increased since the SDGs issued in 2015 with particular focuses on eco-environment, sustainable policies, green economy, sanitation and health, and water sanitation. Most countries are in the process of nationalization, institutionalization, and universalization of the SDGs through incorporating the SDGs into national development frameworks, enabling extensive participation and negotiation mechanisms, and promoting the SDGs’ national publicity. Countries of different economic and institutional backgrounds demonstrate divergent development pathways, priorities, measures, and progress in the implementation of SDGs. Despite significant global progress during the last five years, the North–South divide emerges in the policy action and achievement of SDGs. The least developed countries in sub-Sahara Africa and South Asia appear to be difficult or even unable to implement the SDGs and monitor the progress. In the post-pandemic era, particular attention shall be given to integrating SDGs and achieve synergy among goals, concretizing short-and medium-term priorities toward the SDGs targets for all countries, strengthening multilateralism and global cooperation among countries and continents, providing reliable data and approaches for real-time impact assessment and process monitoring, and promoting an inclusive engagement and integrative implementation with multiple stakeholders and consortiums.
Transition from Discrete to Continuous Media: The Impact of Symmetry Changes on Asymptotic Behavior of Waves
Authors: Andrianov Igor , Koblik Steve , Starushenko Galina
Published: June 2021

This paper is devoted to comparing the asymptotics of a solution, describing the wave motion of a discrete lattice and its continuous approximations. The transition from a discrete medium to a continuous one changes the symmetry of the system. The influence of this change on the asymptotic behavior of waves is of great interest. For the discrete case, Schrödinger’s analytical solution of the initial-value problem for the Lagrange lattice is used. Various continuous approximations are proposed to approximate the lattice. They are based on Debye’s concept of quasicontinuum. The asymptotics of the initial motion and the behavior of the systems in the vicinity of the quasifront and at large times are compared. The approximations of phase and group velocities is analyzed. The merits and limitations of the described approaches are discussed.
A Hopf Algebra on Permutations Arising from Super-Shuffle Product
Authors: Liu Mengyu , Li Huilan
Published: June 2021

In this paper, we first prove that any atom of a permutation obtained by the super-shuffle product of two permutations can only consist of some complete atoms of the original two permutations. Then, we prove that the super-shuffle product and the cut-box coproduct on permutations are compatible, which makes it a bialgebra. As this algebra is graded and connected, it is a Hopf algebra.
An Intrusion Detection System for the Internet of Things Based on Machine Learning: Review and Challenges
Authors: Adnan Ahmed , Muhammed Abdullah , Abd Ghani Abdul Azim , Abdullah Azizol , Hakim Fahrul
Published: June 2021

An intrusion detection system (IDS) is an active research topic and is regarded as one of the important applications of machine learning. An IDS is a classifier that predicts the class of input records associated with certain types of attacks. In this article, we present a review of IDSs from the perspective of machine learning. We present the three main challenges of an IDS, in general, and of an IDS for the Internet of Things (IoT), in particular, namely concept drift, high dimensionality, and computational complexity. Studies on solving each challenge and the direction of ongoing research are addressed. In addition, in this paper, we dedicate a separate section for presenting datasets of an IDS. In particular, three main datasets, namely KDD99, NSL, and Kyoto, are presented. This article concludes that three elements of concept drift, high-dimensional awareness, and computational awareness that are symmetric in their effect and need to be addressed in the neural network (NN)-based model for an IDS in the IoT.
On Families of Wigner Functions for N-Level Quantum Systems
Authors: Abgaryan Vahagn , Khvedelidze Arsen
Published: June 2021

A method for constructing all admissible unitary non-equivalent Wigner quasiprobability distributions providing the Stratonovic-h-Weyl correspondence for an arbitrary N-level quantum system is proposed. The method is based on the reformulation of the Stratonovich–Weyl correspondence in the form of algebraic “master equations” for the spectrum of the Stratonovich–Weyl kernel. The later implements a map between the operators in the Hilbert space and the functions in the phase space identified by the complex flag manifold. The non-uniqueness of the solutions to the master equations leads to diversity among the Wigner quasiprobability distributions. It is shown that among all possible Stratonovich–Weyl kernels for a N=(2j+1)-level system, one can always identify the representative that realizes the so-called SU(2)-symmetric spin-j symbol correspondence. The method is exemplified by considering the Wigner functions of a single qubit and a single qutrit.
Symmetry Violation in Bichromatic Ionization by a Free-Electron Laser: Photoelectron Angular Distribution and Spin Polarization
Authors: Popova Maria M. , Gryzlova Elena V. , Kiselev Maksim D. , Grum-Grzhimailo Alexei N.
Published: June 2021

A fundamental phenomenon of coherent control is investigated theoretically using the example of neon photoionization by the bichromatic field of a free-electron laser. A system exposed to coherent fields with commensurable frequencies loses some symmetry, which manifests itself in the angular distribution and spin polarization of the electron emission. We predict several such effects, for example, the violation of symmetry with respect to the plane perpendicular to the polarization vector of the second harmonic and the appearance of new components of spin polarization. Furthermore, we predict a very efficient control of spin polarization via manipulation of the phase between the harmonics. Experimental observation of these effects is accessible with modern free-electron lasers operating in the extreme ultraviolet wavelength regime.
Vibration Measurement Using Laser Triangulation for Applications in Wind Turbine Blades
Authors: Moreno-Oliva Víctor Iván , Flores-Diaz Ociel , Román-Hernández Edwin , Campos-García Manuel , Campos-Mercado Eduardo , Dorrego-Portela José Rafael , Hernandez-Escobedo Quetzalcoatl , Franco Jesus Alejandro , Perea-Moreno Alberto-Jesus , García Alfredo Alcayde
Published: June 2021

The blades in a wind turbine are currently manufactured with flexible and light materials, which make them more susceptible to the effects of vibrations when the wind speed is high enough, causing fatigue damage, affecting the functionality of its structure and aerodynamic efficiency. This work presents a comparison of the modal vibration parameters, applied to a cantilever beam, determined with two experimental methods—the use of accelerometers and a proposed optical non-contact method—based on the principle of laser triangulation and photogrammetry techniques. This technique uses the geometric symmetry of the equidistant displacements along the z axis of the beam to obtain the amplitude data. Parameters such as natural frequency and modal form are obtained by fitting the data to a nonlinear equation with a solution which is an exponential/harmonic equation. Also, analytically, these parameters are determined, and a comparison is made between the experimental methods. The result shows that the relative error of the first-order natural vibration frequency is below 1%. The proposed method is simple, efficient, reliable, and it is also a method that has not been applied to the test of wind turbine blades, so its implementation as this type of wind turbine component is an area of opportunity for the validation of modal vibration parameters in the wind industry. An analysis of results is presented showing benefits of the proposed method and its limitations.
Multiphase Phase-Field Lattice Boltzmann Method for Simulation of Soluble Surfactants
Authors: Kian Far Ehsan , Gorakifard Mohsen , Fattahi Ehsan
Published: June 2021

This paper proposes a phase-field model for the lattice Boltzmann method which has discretized symmetrical directions of velocities in a cartesian grid, to simulate the soluble surfactant in a Multicomponent multiphase system. Despite other existing phase-field models following Langmuir relation, the interfacial tension can be calculated analytically in this proposed model. Parameters playing roles in the models and controlling the surfactant’s strength and interaction with other phases are obtained directly from a given initial interfacial tension and bulk surfactant. Consequently, there is no further need for trial-and-error simulations, and a real system, e.g., oil-water-surfactant, can be simulated with given initial parameters. The model is validated with the analytical result for a planar oil–water-surfactant system. Furthermore, the method for reobtaining numerical interfacial tension for five different cases is tested and compared with the given initial values for an oil droplet surrounded by water and surfactant. The results show that the obtained interfacial tension from the method is in good agreement with the given initial interfacial tension. Furthermore, the spurious velocity of the model is calculated and seen that the magnitude of spurious velocities is proportional to interfacial tension.
Daytime Restricted Feeding Modifies the Temporal Expression of CYP1A1 and Attenuated Damage Induced by Benzo[a]pyrene in Rat Liver When Administered before CYP1A1 Acrophase
Authors: Ávila-Rosales Oscar Samuel , Díaz-Muñoz Mauricio , Camacho-Carranza Rafael , Coballase-Urrutia Elvia , Pedraza-Chaverri José , García-Rebollar Jorge Omar , Espinosa-Aguirre Jesús Javier
Published: June 2021

The aryl hydrocarbon receptor (AhR) is a ligand-activated transcription factor that heterodimerizes with the AhR nuclear translocator (ARNT) to modulate CYP1A1 expression, a gene involved in the biotransformation of benzo[a]pyrene (BaP). The AhR pathway shows daily variations under the control of the circadian timing system. Daytime restricted feeding (DRF) entrains the expression of genes involved in the processing of nutrients and xenobiotics to food availability. Therefore, we evaluate if temporal AhR, ARNT, and CYP1A1 hepatic expression in rats are due to light/dark cycles or fasting/feeding cycles promoted by DRF. Our results show that AhR oscillates throughout the 24 h period in DRF and ad libitum feeding rats (ALF), showing maximum expression at the same time points. DRF modified the peak of ARNT expression at ZT5; meanwhile, ALF animals showed a peak of maximum expression at ZT17. An increased expression of CYP1A1 was linked to the meal time in both groups of animals. Although a high CYP1A1 expression has been previously associated with BaP genotoxicity, our results show that, compared with the ALF group, DRF attenuated the BaP-CYP1A1 induction potency, the liver DNA-BaP adducts, the liver concentration of unmetabolized BaP, and the blood aspartate aminotransferase and alanine aminotransferase activities when BaP is administered prior to the acrophase of CYP1A1 expression. These results demonstrate that DRF modifies the ARNT and CYP1A1 expression and protects from BaP toxicity.