bluuebunny/crossref_metadata_2025 huggingface dataset:
A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data
Authors: Mahdi Esam , Leiva Víctor , Mara’Beh Saed , Martin-Barreiro Carlos
Published: September 2021

In a real-world situation produced under COVID-19 scenarios, predicting cryptocurrency returns accurately can be challenging. Such a prediction may be helpful to the daily economic and financial market. Unlike forecasting the cryptocurrency returns, we propose a new approach to predict whether the return classification would be in the first, second, third quartile, or any quantile of the gold price the next day. In this paper, we employ the support vector machine (SVM) algorithm for exploring the predictability of financial returns for the six major digital currencies selected from the list of top ten cryptocurrencies based on data collected through sensors. These currencies are Binance Coin, Bitcoin, Cardano, Dogecoin, Ethereum, and Ripple. Our study considers the pre-COVID-19 and ongoing COVID-19 periods. An algorithm that allows updated data analysis, based on the use of a sensor in the database, is also proposed. The results show strong evidence that the SVM is a robust technique for devising profitable trading strategies and can provide accurate results before and during the current pandemic. Our findings may be helpful for different stakeholders in understanding the cryptocurrency dynamics and in making better investment decisions, especially under adverse conditions and during times of uncertain environments such as in the COVID-19 pandemic.
Acoustic Sensing Analytics Applied to Speech in Reverberation Conditions
Authors: Odya Piotr , Kotus Jozef , Kurowski Adam , Kostek Bozena
Published: September 2021

The paper aims to discuss a case study of sensing analytics and technology in acoustics when applied to reverberation conditions. Reverberation is one of the issues that makes speech in indoor spaces challenging to understand. This problem is particularly critical in large spaces with few absorbing or diffusing surfaces. One of the natural remedies to improve speech intelligibility in such conditions may be achieved through speaking slowly. It is possible to use algorithms that reduce the rate of speech (RoS) in real time. Therefore, the study aims to find recommended values of RoS in the context of STI (speech transmission index) in different acoustic environments. In the experiments, speech intelligibility for six impulse responses recorded in spaces with different STIs is investigated using a sentence test (for the Polish language). Fifteen subjects with normal hearing participated in these tests. The results of the analytical analysis enabled us to propose a curve specifying the maximum RoS values translating into understandable speech under given acoustic conditions. This curve can be used in speech processing control technology as well as compressive reverse acoustic sensing.
Double Consciousness in the 21st Century: Du Boisian Theory and the Problem of Racialized Legal Status
Authors: Joseph Tiffany , Golash-Boza Tanya
Published: September 2021

In W.E.B. Du Bois’ Souls of Black Folk, he argued that the problem of the 20th century in the United States was the problem of the color line. Given that de facto and explicit racial discrimination persist, anti-immigrant rhetoric is intensifying, and legal status has become more salient, we argue Du Boisian theory remains relevant for understanding social and political cleavages in the 21st century United States. The intersection of race, ethnicity, and legal status or “racialized legal status” represents a new variation of Du Bois’ “color line,” due to how these statuses generate cumulative disadvantages and exclusion for citizens and immigrants of color, particularly the undocumented. We begin with a review of Du Bois’ double consciousness theory, highlighting the marginalization of African Americans. Next, we apply double consciousness to the 21st century U.S. context to empirically demonstrate parallels between 20th century African Americans and the marginalization faced today by people of color. We close with a discussion about how double consciousness enhances our understanding of citizenship and has also generated agency for people of color fighting for socio-political inclusion in the contemporary United States.
More Offenders, More Crime: Estimating the Size of the Offender Population in a Latin American Setting
Authors: Chainey Spencer P. , Lazarus Dennis L.
Published: September 2021

Research that has examined the high levels of crime experienced in Latin American settings has suggested that macrostructural variables (such as social inequality), and factors associated with development and institutional capacity, offer explanations for these high crime levels. Although useful, these studies have yet to quantify how these explanations translate to the dynamics of offending activities. In the current study, we examine a key component related to offending dynamics: the size of the offender population. Using two capture-recapture techniques and a bootstrap simulation, estimates were generated of the sizes of the offender populations for three comparable cities in Brazil, Mexico, and England. Each of the techniques generated similar estimates for the offender population size for each city, but with these estimates varying substantially between the cities. This included the estimated offender population size for the Brazilian city being twenty-five times greater than that for the English city. Risk of arrest values were also generated, with these calculated to be substantially lower for the Brazilian and Mexican cities than for the English city. The results provide a quantification of criminal behavior that offers a potential new insight into the high levels of crime that are experienced in Latin American settings.
A Cross-Cultural Adaptation and Validation of a Second-Language (L2) Motivation Instrument in South Korea
Authors: Shin Weonjin , Tong Fuhui , Chien Hsiang-Yu , Yoon Myeongsun
Published: September 2021

In this research, we tested the psychometrics of a translated and adapted second language learning motivation instrument among Korean English learners. A total of 1373 college students from 9 universities and 11 majors in South Korea responded to the questionnaire. After the content validation, back-translation, and pilot study, 12 factors and 76 items were chosen for further construct validation. The data were then analyzed using Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). Through EFA, 11 factors and 55 items were extracted while CFA analysis indicated good fit (CFI > 0.9, SRMR = 0.05, RMSEA < 0.05) of the measurement model. The results of this study showed acceptable psychometrics properties of questionnaire which is culturally and structurally appropriate in a Korean college context.
Digital Twin for FANUC Robots: Industrial Robot Programming and Simulation Using Virtual Reality
Authors: Garg Gaurav , Kuts Vladimir , Anbarjafari Gholamreza
Published: September 2021

A Digital Twin is the concept of creating a digital replica of physical models (such as a robot). This is similar to establishing a simulation using a robot operating system (ROS) or other industrial-owned platforms to simulate robot operations and sending the details to the robot controller. In this paper, we propose a Digital Twin model that assists in the online/remote programming of a robotic cell by creating a 3D digital environment of a real-world configuration. Our Digital Twin model consists of two components, (1) a physical model: FANUC robot (M-10iA/12), and (2) a digital model: Unity (a gaming platform) that comes with specialized plugins for virtual and augmented reality devices. One of the main challenges in the existing approach of robot programming is writing and modifying code for a robot trajectory that is eased in our framework using a Digital Twin. Using a Digital Twin setup along with Virtual Reality, we observe the trajectory replication between digital and physical robots. The simulation analysis provided a latency of approximately 40 ms with an error range of −0.28 to 0.28∘ across the robot joint movements in a simulation environment and −0.3 to 0.3∘ across the actual robot joint movements. Therefore, we can conclude that our developed model is suitable for industrial applications.
Experimental Study of the Performance of a Laboratory-Scale ESP with Biomass Combustion: Discharge Electrode Disposition, Dynamic Control Unit and Aging Effect
Authors: Cid Natalia , Rico Juan Jesús , Pérez-Orozco Raquel , Larrañaga Ana
Published: September 2021

The increasing use of biomass combustion systems as household appliances for heat generation is causing concern about local air quality. Areas with high concentrations of particulate matter (PM) emissions are linked to health risks. There is a need for a removal device that collects the particles before they reach the atmosphere. Electrostatic precipitators (ESPs) are the most suitable option. In this study, a laboratory-scale prototype ESP was tested with a pellet boiler. Retention efficiencies above 90% were obtained with three different discharge electrode dispositions. The continuous operation of the ESP was achieved with a dynamic control system despite fluctuations in emissions, gas conditions, etc. The accumulation of particles on inner ESP surfaces over the operation time reduced the effectiveness of the electric field, and thus retention efficiency. In this study, the retention efficiency fell from 90% to 31% in 34 h.
Cross-Cultural Pragmatic Competence in an EFL Context for a Sustainable Learning Environment: A Case of Northern Cyprus
Authors: Bardis Ben , Silman Fatoş , Mohammadzadeh Behbood
Published: September 2021

A review of literature on pragmatic competence reveals that less attention is given to the enrichment of cross-cultural pragmatic awareness in the classroom. The study focuses on the need to survey and discuss communicative dynamics in classroom situations and the importance of enhancing cross-cultural pragmatic competence in the English as a foreign language (EFL) context. We believe that enhancing students’ cross-cultural pragmatic competence will provide students with a sustainable learning environment, which is crucial for the quality of education. The investigation involves a mixed approach of quantitative and qualitative methods by using a questionnaire for EFL students and interview guide questions for both EFL students and teachers. For quantitative analysis, the participants involved in this research include 200 EFL students of different nationalities, and for the qualitative analysis, the participants include 10 teachers and 20 EFL students in a university in North Cyprus. The study’s findings indicate that students lack cross-cultural pragmatic knowledge and must be provided with classroom activities for social interaction and to develop explicit and implicit communicative competencies in EFL as a target language. Findings further reveal that EFL students are not endowed with cross-cultural pragmatic competence by the EFL teachers who provide little attention to pragmatic knowledge and classroom activities in the EFL context.
Planning Perspectives and Approaches for Activating Underground Built Heritage
Authors: Smaniotto Costa Carlos , Menezes Marluci , Ivanova-Radovanova Petja , Ruchinskaya Tatiana , Lalenis Konstantinos , Bocci Monica
Published: September 2021

This paper delivers actionable recommendations towards building a rationale for activating and promoting Underground Built Heritage (UBH) based on the nexus heritage, territory and society, and making use of existing literature and findings from five international cases. The research was conducted in the framework of the working group on Planning Approaches of the COST Action Underground4value. The analysis of the cases aims to provide guidelines for this working group and to benchmark good practices in activating UBH. It highlights the importance of community-led initiatives, leadership and dialogue and power sharing between the local/regional authorities and communities aiming for better understanding of the potential of UBH. The successes and/or failures of the five cases emphasise the importance of knowledge and experience in participatory approaches. Success was verified, when effectiveness and democratic principles were combined in the planning process, and local history is integrated with citizen science, co-creation and placemaking. The analysed approaches stimulate a new hybrid layer for activating UBH, provide mechanisms of mediation between people and heritage, and contribute to cultural and social dimensions of sustainability. This is a highly challenging endeavour, as it seeks to support and advance a sound understanding of UBH as a sustainable resource, backed by strategic stakeholder dialogue and contextual knowledge. Such effort requires a dynamic understanding of UBH values, knowledge, abilities and skills, towards creating more effective coalitions of “actors” within localities, by developing structures, which encourage long term collaborative relationships.
Sustainability Strategies of Equipment Introduction and Overcapacity Risk Sharing in Mask Emergency Supply Chains during Pandemics
Authors: Chen Haibo , Wang Zongjun , Yu Xuesong
Published: September 2021

The sustainability of the mask emergency supply chain faces two problems during the current COVID-19 pandemic. First, mask manufacturers are mainly small and mid-size enterprises, resulting in a lack of funds and credit lines for the introduction of equipment. Second, the periodicity and uncertainty of pandemics create overcapacity risk for the mask emergency supply chain. To solve these problems, this study incorporates financial leasing institutions and the government into the mask emergency supply chain. Based on a questionnaire survey of practitioners of financial leasing institutions, the relationship between mask manufacturers, financial leasing institutions, and the government in the mask supply chain is analyzed through a game model, and the behavior of mask manufacturers to reduce the scale of mask production after the occurrence of overcapacity is investigated using the cusp catastrophe theory. We find that in the case of masks’ overcapacity, mask manufacturers tend to continue production. Finally, we propose that financial leasing institutions should lease mask production equipment to mask manufacturers under the guarantee of the government and develop a mechanism for the three parties to jointly share the risk of mask overcapacity, aiming at ensuring the sustainable manufacturing of masks during the pandemic.
Dismantling of Printed Circuit Boards Enabling Electronic Components Sorting and Their Subsequent Treatment Open Improved Elemental Sustainability Opportunities
Authors: Maurice Ange A. , Dinh Khang Ngoc , Charpentier Nicolas M. , Brambilla Andrea , Gabriel Jean-Christophe P.
Published: September 2021

This critical review focuses on advanced recycling strategies to enable or increase recovery of chemical elements present in waste printed circuit boards (WPCBs). Conventional recycling involves manual removal of high value electronic components (ECs), followed by raw crushing of WPCBs, to recover main elements (by weight or value). All other elements remain unrecovered and end up highly diluted in post-processing wastes or ashes. To retrieve these elements, it is necessary to enrich the waste streams, which requires a change of paradigm in WPCB treatment: the disassembly of WPCBs combined with the sorting of ECs. This allows ECs to be separated by composition and to drastically increase chemical element concentration, thus making their recovery economically viable. In this report, we critically review state-of-the-art processes that dismantle and sort ECs, including some unpublished foresight from our laboratory work, which could be implemented in a recycling plant. We then identify research, business opportunities and associated advanced retrieval methods for those elements that can therefore be recovered, such as refractory metals (Ta, Nb, W, Mo), gallium, or lanthanides, or those, such as the platinum group elements, that can be recovered in a more environmentally friendly way than pyrometallurgy. The recovery methods can be directly tuned and adapted to the corresponding stream.
Ward Staff as a Tool to Promote Wellbeing among Prison Employees
Authors: Sorge Antonia , De Luca Letizia , Tamanza Giancarlo , Saita Emanuela
Published: September 2021

Since 2011, the organisational and management process of the Italian Prison Administration has started to change. The Open section and Dynamic supervision measures introduced into the Italian penitentiary system, requires that all prison workers participate in the observation and treatment of the prisoners’ activities, carried out within a multidisciplinary perspective. This may imply a significant increase, in both the workload and possible sources of stress for prison workers and, therefore, hinder the organizational change. To enable the process of change, while monitoring the employees’ wellbeing, monthly multidisciplinary meetings have been planned, involving the ward staff of each prison. This study aims to both understand the impact of the organisational change on the employees of a prison in northern Italy and to explore the sustainability of the ward staff tool. Ten multidisciplinary meetings were analysed over a year, focusing on topics discussed within the group and relational positions assumed by the members. Content analysis has been performed through the T-LAB software, whereas the analysis of the interactive modalities has been carried out through the application of the Interaction Process Analysis grid. Results showed the group’s tendency to focus on the task, neglecting the relational dimension and moments of shared reflection related to the process. The study allows us to reflect on those aspects that may undermine the organisational and employee wellbeing and to assess the sustainability of a new organizational tool.
Effects of Soil pH on Gaseous Nitrogen Loss Pathway via Feammox Process
Authors: Ma Ding , Wang Jin , Xue Jun , Yue Zhengbo , Xia Shaofeng , Song Lei , Gao Hongwen
Published: September 2021

The application of N fertilizer is one of the most critical soil acidification factors in China, and soil acidification significantly alters biogeochemical processes such as N loss. Anaerobic ammonium oxidation coupled with iron reduction (Feammox) is an important biological process for N loss in natural environments, with the end-products of N2, NO2− and NO3−. However, the response of Feammox pathways to soil pH fluctuation has not been thoroughly studied. In the current study, Feammox pathways and microbial communities were explored through a slurry culture experiment with an artificially adjusted pH combined with a 15N isotope tracing technique and molecular biotechnology. Results showed significant differences in the gaseous N loss through Feammox (0.42–0.97 mg N kg−1 d−1) under different pH conditions. The gaseous N loss pathways were significantly affected by the pH, and Feammox to N2 was the predominant pathway in low-pH incubations. The proportion of N loss caused by Feammox coupled with denitrification increased as the soil pH increased. The gaseous N loss through Feammox increased by 43.9% when the soil pH decreased from 6.5 to 5.0. Fe-reducing bacteria, such as Ochrobactrum, Sphingomonas, and Clostridium increased significantly in lower pH incubations. Overall, this study demonstrated the effects of soil pH on Feammox pathways and extended the understanding of the N biogeochemical cycle in acidic soil.
Dynamic Evolution of the Operating Efficiency of Development Zones in China
Authors: Gao Shuang , Zhang Jingwen , Mo Xiaoqing , Wu Rong
Published: September 2021

The efficient development of Economic and Technological Development Zones (ETDZs) across China has been key to the country’s economic transformation. Despite this, few studies have addressed the dynamic characteristics of the efficiency of ETDZs. Taking China’s 115 national ETDZs established before 2010 as the research sample, this study measures the comprehensive operating efficiency of ETDZs and identifies dynamic characteristics of that efficiency throughout the period 2011–2017, using a three-stage data envelopment analysis (DEA) model and the Markov method. This research also explores the relationship between the operation efficiency of ETDZs and urban economic development. The results indicate that the operating efficiency of national ETDZs was generally low, and subject to a downward trend over the study period; the efficiency of ETDZs in the western region was found to be higher than that in the central and eastern areas. It was found that operating efficiency was stable in terms of the types of transfer witnessed, and the results emphasize the difficulty of achieving leapfrog development in a relatively short time. In addition, medium-high coupling coordination was detected in the relationship between urban social and economic development and the operating efficiency of ETDZs. When the operating efficiency of the ETDZ was high, this coupling coordination improved significantly. Finally, most of China’s ETDZs remain in a factor-driven stage in their development, with their expansion occurring at the expense of efficiency. Based on these results, this paper suggests that the government should pay greater attention to the overall efficiency and growth quality in the sustainable development of the country’s ETDZs.
Achieving Organisational Alignment, Safety and Sustainable Performance in Organisations
Authors: Blokland Peter , Reniers Genserik
Published: September 2021

When looking at socio-technical systems from a systems thinking and systemic perspective, it becomes clear that mental models govern the behaviours and determine the achievements of socio-technical systems. This is also the case for individuals, being systems themselves and, as such, being elements of those socio-technical systems. Individual behaviours result from individual perceptions (mental models). These individual behaviours ideally generate the desired outcomes of a system (team/organisation/society) and create value. However, at the same time, mental models and the associated individual behaviour also bring about unwanted consequences, destroying or diminishing value. Therefore, to achieve safety and to attain sustainable safe performance, understanding and managing mental models in organisations is of paramount importance. Consequently, in organisations and society, one needs to generate the required mental models that create successes and, at the same time, to avoid or eliminate damaging perceptions and ideas in order to protect the created value. Generating and managing mental models involves leadership; leadership skills; and the ability to develop a shared vision, mission and ambition, as this helps determine what is valuable and allows for aligning individual mental models with those that preferably govern the system. In doing so, it is possible to create well-aligned corporate cultures that create and protect value and that generate sustainable safe performance. To achieve this aim, a systemic organisational culture alignment model is proposed. The model is based on the model of logical levels of awareness according to Dilts (1990), Argyris’s ladder of inference (1982) and the organisational alignment model proposed by Tosti (1996). Furthermore, ISO 31000 (2009, 2018) and its guidance are proposed as a practical tool to accomplish this alignment and sustainable safe performance in organisations. Altogether, these elements define Total Respect Management as a concept, mental model and methodology.
Spatio-Temporal Distribution of Digitaria insularis: Risk Analysis of Areas with Potential for Selection of Glyphosate-Resistant Biotypes in Eucalyptus Crops in Brazil
Authors: Barroso Gabriela Madureira , da Silva Ricardo Siqueira , Mucida Danielle Piuzana , Borges Cláudia Eduarda , Ferreira Sabrina Rodrigues , dos Santos José Carlos Barbosa , Lins Hamurábi Anizio , Mendonça Vander , Silva Daniel Valadão , dos Santos José Barbosa
Published: September 2021

The objective of this study was to model the spatio-temporal distribution of Digitaria insularis (D. insularis) and analyze the risk of selection of glyphosate-resistant biotypes in eucalyptus cultivation in Brazil. Global data on the distribution of the specie were collected and associated with their ideal growth characteristics. The models were generated using Climex software, providing a predictive modeling technique. Biological data, species distribution, and climatic parameters were used to predict and map potential areas for the species of interest through the combination of growth and stress indices, giving rise to the Ecoclimatic Index (EI). The spatial distribution of D. insularis is predominantly in South and Central America and southern North America. The model had a good fit with the collected data and predicted higher EI values for tropical and subtropical regions, as was the case in Brazil. Species growth can occur throughout the year, with lower rates in winter, mainly in the country’s southern regions. Brazil has high climatic suitability for the occurrence of Digitaria insularis. Due to the climate suitability evidenced by the models and the expressive use of the same active ingredient, there is a risk of selecting glyphosate-resistant Digitaria insularis biotypes in eucalyptus cultivation areas.
An Endless Endeavor: The Evolution and Challenges of Multi-Level Coastal Governance in the Global South
Authors: Gonçalves Leandra R. , Gerhardinger Leopoldo C. , Polette Marcus , Turra Alexander
Published: September 2021

We used Brazil as a Global South case study to analyze the evolution of the coastal governance in a young and still unstable democracy. Based on twenty-five years of documentation related to a federal-level actor interaction hub named Coastal Management Integration Group (GIGERCO) we explored the opportunity context for the transformation of the Brazilian coastal governance system using a Theory of Transformative Agency to identify five periods of evolution. The coastal governance system shifted from an exploitation to a conservation phase (periods 1 to 3), where an increasing number of actors were getting to know the system and each other’s interests turned into a moment of higher stability and resistance to change. The mobilization of social capital and higher heterogeneity of actors allowed novel strategies to emerge, generating opportunities for structural changes from a conservation towards a release phase (period 4). We argue that the recent political changes in Brazil caused a rupture in such a flourishing coastal governance process (period 5), which is now at a critical juncture that may unfold into one of three envisioned alternative scenarios: conservative regime, a new integrated and ecosystem-based regime, or a remanent of past regime properties. Our paper informs coastal governance processes across the world, highlighting the dynamic nature of the interplay between alternative institutional entrepreneurship strategies, opportunity contexts, and innovations in governance systems.
Firm and Board Characteristics, and E-Waste Disclosure: A Study in the Era of Digitalisation
Authors: Abd-Mutalib Hafizah , Muhammad Jamil Che Zuriana , Mohamed Rapiah , Shafai Nor Atikah , Nor-Ahmad Saidatul Nurul Hidayah Jannatun Naim
Published: September 2021

Business sectors face the advent of digitalisation, bringing attention to e-waste, or waste generated from obsolete electrical and electronic appliances. In addressing this issue, the study intends to examine e-waste disclosure by Bursa Malaysia listed firms. Specifically, this study investigates the extent and quality of e-waste disclosure, observes whether the reporting differs between industries and the boards on which the firms are listed, and investigates if e-waste disclosure is associated with firm and board characteristics. A total of 92 firms in the telecommunication and technology industries, listed on the Main and Ace boards of Bursa Malaysia, were selected as samples. The results reveal that despite an indication that e-waste reporting applies to the two sectors, only 16% of the firms report their commitment to managing e-waste. The disclosure shows how e-waste reporting is low in quantity and is circulated with only very general, qualitative information. An independent sample t-test reveals that firms listed on the Main board report significantly more e-waste information than their counterparts. Another t-test indicates an insignificant difference in e-waste disclosure between the firms under study. Furthermore, firm size significantly impacts e-waste disclosure, while firm performance, board size, and board gender diversity show insignificant impact. The results of this preliminary study shed some light on business firms’ commitment towards their e-waste management and reporting, which is a substantial factor for Malaysia to achieve environmental sustainability.
An Improved Heap-Based Optimizer for Optimal Design of a Hybrid Microgrid Considering Reliability and Availability Constraints
Authors: Kharrich Mohammed , Kamel Salah , Hassan Mohamed H. , ElSayed Salah K. , Taha Ibrahim B. M.
Published: September 2021

The hybrid microgrid system is considered one of the best solution methods for many problems, such as the electricity problem in regions without electricity, to minimize pollution and the depletion of fossil sources. This study aims to propose and implement a new algorithm called improved heap-based optimizer (IHBO). The objective of minimizing the microgrid system cost is to reduce the net present cost while respecting the reliability, power availability, and renewable fraction factors of the microgrid system. The results show that the PV/diesel/battery hybrid renewable energy system (HRES) gives the best solution, with a net present cost of MAD 120463, equivalent to the energy cost of MAD 0.1384/kWh. The reliability is about 3.89%, the renewable fraction is about 95%, and the power availability is near to 99%. The optimal size considered is represented as 167.3864 m2 of PV area, which is equivalent to 44.2582 kW and 3.8860 kW of diesel capacity. The study results show that the proposed optimization algorithm of IHBO is better than the artificial electric field algorithm, the grey wolf optimizer, Harris hawks optimization, and the original HBO algorithm. A comparison of the net present cost with a different fuel price is carried out, in which it is observed that the net present cost is reduced even though its quantity used is mediocre.
Using WaTEM/SEDEM to Configure Catchment Soil Conservation Measures for the Black Soil Region, Northeastern China
Authors: Fang Haiyan
Published: September 2021

In recent years, to combat soil erosion, large-scale soil conservation measures have been implemented in the world. Evaluation of the integrated catchment management is urgently required. In the present study, soil erosion and sediment yield under 24 scenarios were predicted, based on the water and tillage erosion model and sediment delivery deposition model (WaTEM/SEDEM). The current catchment management was not ideal, with a catchment soil loss rate (SLR) of 599.88 t km−2 yr−1 and a sediment yield of 240.00 t km−2 yr−1. The catchment management with contour tillage on <3° slopes, hedgerow planting on 3–5° slopes, terracing on 5–8° slopes, and forestation on >8° slopes with trenches along the forest and dams in gullies was the best catchment management to control soil loss, with catchment SLR that was less than the tolerable value of 200 t km−2 yr−1. However, the SLR on the <3° slopes was still higher than the tolerable value. It is not enough to control soil loss by only implementing contour tillage measure on <3° slopes, and other measures should be further implemented on these slopes. In gullies, more measures should be implemented to prevent sediment flowing out of the catchments, in Northeastern China.
Risk Factors Analysis of Car Door Crashes Based on Logistic Regression
Authors: Huang Cheng-Yong
Published: September 2021

Unlike door crash accidents predominantly involving bicycles in Australia, the UK, and other Western countries, cases in Taiwan are far more fatal as they usually involve motorcycles. This is due to the unique anthropogeography and transportation patterns of Taiwan, particularly the numbers of motorcycles being twice that of cars. Both path analysis and multivariate logistic regression methods were adopted in this study. The multivariate logistic regression analysis results have shown that the main risk factors causing serious injuries in door crashes include winter, morning, male motorcyclists, heavy motorcycles, and the left sides of cars. Regarding the gender differences in motorcyclists, it appears that female motorcyclists have higher door crash accident rates, while the odds of severe injury and fatality in male motorcyclists are 1.658 times greater than that of female motorcyclists. The risk factors derived from the multivariate logistic regression analysis were further discussed and analysed. It was found that the causes of serious injuries and deaths stemming from door crashes were related to the risk perception ability, reaction ability, visibility, and riding speed of the motorcyclists. Therefore, suggestions on risk management and accident prevention were proposed using advocacy through the 3E strategies of human factors engineering design.
Environmental Challenges, Opportunities, and Policy Implications to Materialize China’s Green Belt and Road Initiative
Authors: Zhai Tiantian
Published: September 2021

China’s Belt and Road Initiative (BRI), announced in 2013, is an unprecedented mega-project that aims to improve connectivity between China and over 70 countries through infrastructure investment and regional cooperation. It has unparalleled potential to bring about positive economic development across vast regions of the world but, at the same time, may inevitably come with considerable environmental challenges. Even so, opportunities exist to prevent or mitigate environmental risks and realize China’s promise of a green BRI. China has proposed to construct a green BRI. The existing environmental law framework of host states, green development practices by China and BRI participating countries, and the role of bilateral investment treaties (BITs) as well as multilateral environmental agreements (MEAs) all increase the odds of a green BRI. This article contributes to existing BRI-related literature by examining the environmental challenges and opportunities of the BRI and providing suggestions on building a comprehensive environmental protection mechanism. It is suggested to stringently implement environmental norms and green BRI policies, make greater use of BITs and MEAs, bring together various actors, mobilize all available resources, and establish an efficient environmental dispute settlement and environmental remediation system.
Research on the Knowledge-Sharing Incentive of the Cross-Boundary Alliance Symbiotic System
Authors: Zhang Xiaoxing , Gao Changyuan , Zhang Shuchen
Published: September 2021

The rise of the cross-boundary alliance as a new organizational model profoundly affects innovation development. The incentive mode of knowledge-sharing among cross-boundary alliance members from the perspective of symbiosis is the key to improving the efficiency of knowledge-sharing and promoting the alliance’s sustainable development. Due to the interdisciplinary nature of knowledge and information asymmetry among alliance members, knowledge-sharing is prone to opportunistic behavior, which greatly impacts cross- boundary innovation cooperation. The symbiotic system of the cross-boundary alliance is constructed based on the analysis of symbiosis among alliance members to solve these problems. In this research study, the principal–agent theory is used to describe the expected benefits and the related constraints of knowledge-sharing partners. Moreover, an incentive model of knowledge-sharing in the cross-boundary alliance is established. By solving the model, the agent’s sharing intention and the principal’s reward incentive coefficient are obtained, which provide a theoretical basis for the formulation of the optimal incentive scheme of knowledge-sharing in the alliance. The results show that the knowledge potential difference, knowledge transmission efficiency, knowledge transformation, innovation effort, and the symbiotic environment will directly affect the knowledge transfer level of the alliance. In this research study, a theoretical research framework of the cross-boundary alliance symbiotic system linked by knowledge-sharing is constructed. The incentive model of knowledge-sharing is established especially on the basis of fully considering the internal and external factors of knowledge-sharing. This research study has provided some innovation in the theoretical system and method improvement, and has guaranteed the efficient integration, utilization, and innovation of knowledge resources in the cross-boundary alliance.
Performance Evaluation of a Field-Scale Anaerobic Baffled Reactor as an Economic and Sustainable Solution for Domestic Wastewater Treatment
Authors: Saif Yasmin , Ali Mahwish , Jones Ian M. , Ahmed Safia
Published: September 2021

The present study explored the efficiency of a four-chambered anaerobic baffled reactor (ABR) as a cost-effective and sustainable method of organic pollutant and pathogen removal from domestic wastewater, under a range of environmental conditions. An ABR with a circular additional filter at the outlet pipe was constructed to treat wastewater from a residential colony of 108 households with an average inflow of 110 m3/day and a nominal hydraulic retention time (HRT) of 20 h. Analysis of the chemical oxygen demand (COD), total nitrogen, sulfate and phosphate load, and total coliform removal for 2 years of operation, 2015 and 2017, showed a COD of 46%, sulfate load of 28%, phosphate load of 51% and total nitrogen of 28% for 2015, compared to a COD of 48%, sulfate load of 44%, phosphate load of 58% and total nitrogen of 31% for 2017. The lack of a significant effect of sludge removal suggested a stable process. The overall efficiency of the ABR increased in the summer, including for pathogen removal, which was significantly higher during the summer months of both years. Overall, the ABR was found to be able to consistently treat primary wastewater, although tertiary effluent treatment was still required before water reuse or final discharge.
Organizing Sport for Climate Related Adaptations: Lessons from the Water and Forestry Industries
Authors: Mallen Cheryl , Dingle Greg
Published: September 2021

Sporting societies around the world are being impacted by a variety of contemporary climatic challenges. The sport management literature indicates that these impacts have disrupted sport. Some adaptations have been implemented, but a comprehensive planning framework is absent from the literature. Learning from other industries, thus, was considered, and an examination of the literature from the water and forestry industries was conducted. The examination resulted in the discovery of six key themes offering insights or practical lessons to guide sport organizations in their efforts to organize for adapting to climatic impacts.
Digital Twins for the Circular Economy
Authors: Preut Anna , Kopka Jan-Philip , Clausen Uwe
Published: September 2021

Accurate information plays an important role for the circulation of materials and products. It influences the economically and ecologically successful execution of processes such as reconditioning and the corresponding supply chain management. Digitization concepts, such as digital twins, enable the relevant information to be made available to the right actor at the right time in a decentralized manner. It is assumed that digital twins will play an important role in the future and can contribute, among other things, to the successful implementation of circular economy strategies. However, there is no uniform definition of the term digital twin yet and the exploration and use of digital twins in the context of circular economy products and supply chains is still in its infancy. This article presents potential contributions of digital twins to the circularity of products and the management of circular supply chains. To this end, the derivation and validation of a definition for the term digital twin is described. A stakeholder analysis with a special focus on the processes of the individual stakeholders results in an overview of potentials and information requirements of circular supply chains for a digital twin. The paper concludes that circular supply chains can benefit from digital twins, but that there is still a need for research and development, particularly regarding product and use case-specific implementations of the concept.
Improved Preventive Maintenance Scheduling for a Photovoltaic Plant under Environmental Constraints
Authors: Sa’ad Aisha , Nyoungue Aimé C. , Hajej Zied
Published: September 2021

The supply of PV power that satisfies the needs of customers is heavily dependent on the reliability of the generating plants. However, irrespective of the robustness of the design of such physical industrial assets, they tend to depreciate with usage and/or age which, in turn, increases the allowance between the design and the operational capabilities. Therefore, to ameliorate the reliability of the system, a combination of selective and preventive maintenance actions were planned by determining the best combination (optimal preventive maintenance intervals, optimal replaced components). In this work, we developed an optimal preventive maintenance strategy with minimal repair using the iterative numerical technique for a PV plant, with and without considering the influence of environmental conditions on the system. An algorithm was developed on MATLAB to determine the optimal number of preventive maintenance actions that yields the maximum availability by selecting the components to be maintained based on the reliability threshold, without considering the environmental impact on the components. The environmental elements’ criticality was introduced, and the reliability reiterated based on the new technique. Finally, by maximizing the availability of the system, an optimal preventive maintenance for a finite horizon was established.
Mental Health Challenges of Young Labor Migrants from the Healthcare Professionals Perspective: Lessons Learned from a Multi-Country Meeting
Authors: Princeton Daisy Michelle , Bregård Ida Marie , Annion Marianne , Shooghi Gine , Rom Gitte , Örlygsdóttir Brynja , Sigurðardóttir Hildur , Kuismin Riita , Korhonen Joonas , Kisa Sezer
Published: September 2021

The mental health of young labor immigrants (YLI’s) is a public health issue that has become notably more apparent during the COVID-19 pandemic. It is well established in the literature that most YLI’s are young and healthy when they arrive in the host country. However, due to the poor living and working conditions, as well as linguistic and socioeconomic barriers to health care in the host country, their physical and mental health often deteriorates. Between 1 March 2021 and 5 March 2021, a virtual meeting was organized by Oslo Metropolitan University in collaboration with the Nordic Council of Ministers mobility and network program for education in the Nordic and Baltic countries (Nordplus). It consisted of a multidisciplinary team of 26 participants from Nordic and Baltic countries. Topics included working and living conditions of YLI’s, prejudices towards immigrants, and mental health-related interventions for YLI’s in the participating countries. This paper draws attention to some of the mental health challenges and needs of YLI’s and to the suggestions gathered from the Nordplus meeting to combat these challenges from a healthcare professional’s perspective.
Research on Projection Filtering Method Based on Projection Symmetric Interval and Its Application in Underwater Navigation
Authors: Chen Lijuan , Zhang Zihao , Zhang Yapeng , Xiong Xiaoshuang , Fan Fei , Ma Shuangbao
Published: September 2021

For non-linear systems (NLSs), the state estimation problem is an essential and important problem. This paper deals with the nonlinear state estimation problems in nonlinear and non-Gaussian systems. Recently, the Bayesian filter designer based on the Bayesian principle has been widely applied to the state estimation problem in NLSs. However, we assume that the state estimation models are nonlinear and non-Gaussian, applying traditional, typical nonlinear filtering methods, and there is no precise result for the system state estimation problem. Therefore, the larger the estimation error, the lower the estimation accuracy. To perfect the imperfections, a projection filtering method (PFM) based on the Bayesian estimation approach is applied to estimate the state. First, this paper constructs its projection symmetric interval to select the basis function. Second, the prior probability density of NLSs can be projected into the basis function space, and the prior probability density solution can be solved by using the Fokker–Planck Equation (FPE). According to the Bayes formula, the proposed estimator utilizes the basis function in projected space to iteratively calculate the posterior probability density; thus, it avoids calculating the partial differential equation. By taking two illustrative examples, it is also compared with the traditional UKF and PF algorithm, and the numerical experiment results show the feasibility and effectiveness of the novel nonlinear state estimation filter algorithm.
Digital Twins-Based Smart Design and Control of Ultra-Precision Machining: A Review
Authors: Wu Lei , Leng Jiewu , Ju Bingfeng
Published: September 2021

Ultra-Precision Machining (UPM) is a kind of highly accurate processing technology developed to satisfy the manufacturing requirements of high-end cutting-edge products including nuclear energy producers, very large-scale integrated circuits, lasers, and aircraft. The information asymmetry phenomenon widely exists in the design and control of ultra-precision machining. It may lead to inconsistency between the designed performance and operational performance of the UPM equipment on stiffness, thermal stability, and motion accuracy, which result from its design, manufacturing, and control, and determine the form accuracy and surface roughness of machined parts. The performance of the UPM equipment should be improved continuously. It is still challenging to realize the real-time and self-adaptive control, in which building a high-fidelity and computationally efficient digital twin is a valuable solution. Nevertheless, the incorporation of the digital twin technology into the UPM design and control remains vague and sometimes contradictory. Based on a literature search in the Google Scholar database, the critical issues in the UPM design and control, and how to use the digital twin technologies to promote it, are reviewed. Firstly, the digital twins-based UPM design, including bearings module design, spindle-drive module design, stage system module design, servo module design, and clamping module design, are reviewed. Secondly, the digital twins-based UPM control studies, including voxel modeling, process planning, process monitoring, vibration control, and quality prediction, are reviewed. The key enabling technologies and research directions of digital twins-based design and control are discussed to deal with the information asymmetry phenomenon in UPM.