bluuebunny/crossref_metadata_2025 huggingface dataset:
Measuring Kinematic Response to Perturbed Locomotion in Young Adults
Authors: Taborri Juri , Santuz Alessandro , Brüll Leon , Arampatzis Adamantios , Rossi Stefano
Published: January 2022

Daily life activities often require humans to perform locomotion in challenging scenarios. In this context, this study aimed at investigating the effects induced by anterior-posterior (AP) and medio-lateral (ML) perturbations on walking. Through this aim, the experimental protocol involved 12 participants who performed three tasks on a treadmill consisting of one unperturbed and two perturbed walking tests. Inertial measurement units were used to gather lower limb kinematics. Parameters related to joint angles, as the range of motion (ROM) and its variability (CoV), as well as the inter-joint coordination in terms of continuous relative phase (CRP) were computed. The AP perturbation seemed to be more challenging causing differences with respect to normal walking in both the variability of the ROM and the CRP amplitude and variability. As ML, only the ankle showed different behavior in terms of joint angle and CRP variability. In both tasks, a shortening of the stance was found. The findings should be considered when implementing perturbed rehabilitative protocols for falling reduction.
An Enhanced Decoding Algorithm for Coded Compressed Sensing with Applications to Unsourced Random Access
Authors: Amalladinne Vamsi K. , Ebert Jamison R. , Chamberland Jean-Francois , Narayanan Krishna R.
Published: January 2022

Unsourced random access (URA) has emerged as a pragmatic framework for next-generation distributed sensor networks. Within URA, concatenated coding structures are often employed to ensure that the central base station can accurately recover the set of sent codewords during a given transmission period. Many URA algorithms employ independent inner and outer decoders, which can help reduce computational complexity at the expense of a decay in performance. In this article, an enhanced decoding algorithm is presented for a concatenated coding structure consisting of a wide range of inner codes and an outer tree-based code. It is shown that this algorithmic enhancement has the potential to simultaneously improve error performance and decrease the computational complexity of the decoder. This enhanced decoding algorithm is applied to two existing URA algorithms, and the performance benefits of the algorithm are characterized. Findings are supported by numerical simulations.
Digital Twins in the Practice of High-Energy Physics Experiments: A Gas System for the Multipurpose Detector
Authors: Chaber Patryk , Domański Paweł D. , Dąbrowski Daniel , Ławryńczuk Maciej , Nebeluk Robert , Plamowski Sebastian , Zarzycki Krzysztof
Published: January 2022

The digital twins technology delivers a new degree of freedom into system implementation and maintenance practice. Using this approach, a technological system can be efficiently modeled and simulated. Furthermore, such a twin offline system can be efficiently used to investigate real system issues and improvement opportunities, e.g., improvement of the existing control system or development of a new one. This work describes the development of a control system using the digital twins methodology for a gas system delivering a specific mixture of gases to the time-of-flight (ToF) multipurpose detector (MPD) used during high-energy physics experiments in the Joint Institute for Nuclear Research (Dubna, Russia). The gas system digital twin was built using a test stand and further extended into target full-scale installation planned to be built in the near future. Therefore, conducted simulations are used to validate the existing system and to allow validation of the planned new system. Moreover, the gas system digital twin enables testing of new control opportunities, improving the operation of the target gas system.
Wide-Band Interference Mitigation in GNSS Receivers Using Sub-Band Automatic Gain Control
Authors: van der Merwe Johannes Rossouw , Garzia Fabio , Rügamer Alexander , Urquijo Santiago , Contreras Franco David , Felber Wolfgang
Published: January 2022

The performance of global navigation satellite system (GNSS) receivers is significantly affected by interference signals. For this reason, several research groups have proposed methods to mitigate the effect of different kinds of jammers. One effective method for wide-band interference mitigation (IM) is the high-rate DFT-based data manipulator (HDDM) pulse blanker (PB). It provides good performance to pulsed and frequency sparse interference. However, it and many other methods have poor performance against wide-band noise signals, which are not frequency-sparse. This article proposes to include automatic gain control (AGC) in the HDDM structure to attenuate the signal instead of removing it: the HDDM-AGC. It overcomes the wide-band noise limitation for IM at the cost of limiting mitigation capability to other signals. Previous studies with this approach were limited to only measuring the carrier-to-noise density ratio (C/N0) performance of tracking, but this article extends the analysis to include the impact of the HDDM-AGC algorithm on the position, velocity, and time (PVT) solution. It allows an end-to-end evaluation and impact assessment of mitigation to a GNSS receiver. This study compares two commercial receivers: one high-end and one low-cost, with and without HDDM IM against laboratory-generated interference signals. The results show that the HDDM-AGC provides a PVT availability and precision comparable to high-end commercial receivers with integrated mitigation for most interference types. For pulse interferences, its performance is superior. Further, it is shown that degradation is minimized against wide-band noise interferences. Regarding low-cost receivers, the PVT availability can be increased up to 40% by applying an external HDDM-AGC.
The Subjective Well-Being of Children in Residential Care: Has It Changed in Recent Years?
Authors: Montserrat Carme , Llosada-Gistau Joan , Garcia-Molsosa Marta , Casas Ferran
Published: January 2022

The subjective well-being of children in residential care is a relevant issue given the practical implications for improving the lives of these children who live in contexts of vulnerability. The question addressed in this respect was: “How does this well-being change over the years”? Thus, the aim of this study was to compare the subjective well-being displayed by adolescents aged 11–14 in residential care in Catalonia (north-eastern Spain) in 2014 to that displayed by adolescents in residential care in 2020. To this end, 572 responses to a questionnaire adapted from the Children’s Worlds project (364 from 2014 and 208 from 2020) were analysed with respect to the life satisfaction items. In both 2014 and 2020, the questionnaires had the same wording, and data were disaggregated by gender. No significant differences in means were observed between most of the life satisfaction items in 2014 and 2020, with the exception of satisfaction with friends and classmates and the area where you live, with lower means for these items in 2020. There is a discussion of the possible influence of COVID-19 on these results, while the overall stability of these children’s subjective well-being over the years is highlighted.
Transforming the Global Plastics Economy: The Role of Economic Policies in the Global Governance of Plastic Pollution
Authors: Barrowclough Diana , Birkbeck Carolyn
Published: January 2022

International policy discussions on plastic pollution are entering a new phase, with more than 100 governments calling for the launch of negotiations for a new global plastics agreement in 2022. This article aims to contribute to efforts to identify effective international policy levers to address plastic pollution. It takes stock of the evolution of views and perceptions on this complex and multi-faceted topic—from concerns about marine pollution and waste management towards new strategic directions that involve the entire plastics life-cycle and include climate and health impacts associated with the proliferation of plastics. It also traces the progressive development of responses—from voluntary approaches involving multiple stakeholders to national and international approaches focused on regulation. The paper is informed by desk research, a literature review and participation by the authors in informal and formal global governance processes on plastic pollution, the environment and development in the United Nations and World Trade Organization between 2019 and 2021. It also draws on empirical findings from a novel and original database on the life-cycle of plastic trade created by the authors. The paper argues that the important focus on downstream dimensions of plastic pollution—and strategies to address them—needs to be complemented by a broad life-cycle and “upstream” perspective that addresses plastic pollution at its source. It highlights the political economy tensions and inconsistencies at hand, observing that while some countries are taking concerted efforts to reduce pollution (including through bans on certain kinds of plastic and plastic products); to promote more circular plastic economies; and to reduce the carbon footprint of plastics (as part of a wider effort to decarbonize their economies), trade and investment in the plastic industry continues to rise. The paper argues that to reduce plastic pollution, emerging global governance efforts must integrate international environmental law and cooperation with a complementary and enabling global framework that addresses the economic, financial, industrial and trade policies needed to drive the necessary transformation of the plastics sector.
Photoluminescence Imaging for the In-Line Quality Control of Thin-Film Solar Cells
Authors: Zikulnig Johanna , Mühleisen Wolfgang , Bolt Pieter , Simor Marcel , De Biasio Martin
Published: January 2022

Renewable energy sources such as photovoltaic (PV) technologies are considered to be key drivers towards climate neutrality. Thin-film PVs, and particularly copper indium gallium selenide (CIGS) technologies, will play a crucial role in the turnaround in energy policy due to their high efficiencies, high product flexibility, light weight, easy installation, lower labour-intensiveness, and lower carbon footprint when compared to silicon solar cells. Nonetheless, challenges regarding the CIGS fabrication process such as moderate reproducibility and process tolerance are still hindering a broad market penetration. Therefore, cost-efficient and easily implementable in-line process control methods are demanded that allow for identification and elimination of non-conformal cells at an early production step. As part of this work, a practical approach towards industrial in-line photoluminescence (PL) imaging as a contact-free quality inspection tool is presented. Performance parameters of 10 CIGS samples with 32 individually contacted cells each were correlated with results from PL imaging using green and red excitation light sources. The data analysis was fully automated using Python-based image processing, object detection, and non-linear regression modelling. Using the red excitation light source, the presented PL imaging and data processing approach allows for a quantitative assessment of the cell performance.
Embedding Value-Based Principles in the Culture of Islamic Banks to Enhance Their Sustainability, Resilience, and Social Impact
Authors: Tok Evren , Yesuf Abdurahman Jemal
Published: January 2022

Value-based banks strive to build a self-sustaining banking model with inclusive and transparent governance that is sustainable and resilient to external disturbances. Initiatives for value-based intermediation in Islamic finance started in Malaysia. The growth in VBIBs is accompanied by claims about its relative resilience to crisis and efficiency compared to VBBs and conventional banks. However, little empirical evidence is available to support such claims. This study aims to analyze the resilience and efficiency of VBIBs compared to the VBBs and GSIBs. It highlights the role of value-based strategy in developing a sound and resilient Islamic banking system to overcome future crises and further strengthen the impacts of Islamic banks. The study used quantitative and content analysis research methods, with data collected from the annual reports of 10 VBIBs from 2017 to 2020. The empirical results show that VBIBs have better risk-adjusted capital levels and asset quality, enabling them to be more resilient during crises. They provide more satisfactory returns compared to the VBBs and GSIBs. However, VBBs have a better asset structure and growth rate, which contributes to the real economy. The overall findings suggest that adopting value-based strategies in Islamic banking improve banks’ sustainability, resilience, and social impacts by concentrating resources on value-based activities that provide economic resiliency and enhance inclusive and sustainable economic growth. The study fills gaps in the current Islamic finance literature concerning empirical studies on value-based Islamic banking. It also helps practitioners to understand the relative efficiency, resilience, and social impact of VBIBs.
Green GDP Indicator with Application to Life Cycle of Sugar Industry in Thailand
Authors: Nawapanan Ekkaporn , Kongboon Ratchayuda , Sampattagul Sate
Published: January 2022

The objective of this study was to develop new indicators that reflect economic growth by taking into account the impact on the environment and natural resources as well. The indicator calculated by subtracting environmental cost from the “Gross Domestic Product (GDP)” and is used in the assessment of the GDP by taking into consideration the cost of natural resources and the environment, called “green GDP”. This study uses Life Cycle Assessment, which is a technique used to assess the environmental impact of sugar industry from raw materials, distribution, production, and waste management. The system boundary for the life cycle inventory are cultivation, planting, transportation and sugar production. The results of the green GDP and GDP is difference about 6–12% due to the depletion cost resulting from the use of natural resources between 9.0–9.52 $/ton of sugar production and the degradation cost caused by the airborne emission and waterborne emission between 37–57 $/ton of sugar production. The quantity of Total Suspended Particulate (TSP) generated from the sugar production process is the main causing the environmental cost about 55%. In order to solve environmental causes, the policy making as Circular Economy Strategies can be used to meet the sustainable development in the future.
Investigations of Metal Pollution in Road Dust of Steel Industrial Area and Application of Magnetic Separation
Authors: Jeong Hyeryeong , Ra Kongtae
Published: January 2022

Pollution characteristics and ecological risks for metals in non-magnetic and magnetic road dust from steel industrial areas were investigated by applying a magnetic separation method. Metal (except for Al, Li, Ti, As, and Sb) concentrations in the magnetic road dust were 1.2 (Sn) to 7.8 (Fe) times higher than those in the non-magnetic road dust. For the magnetic road dust, the geo-accumulation index revealed a strongly to extremely polluted status for Cr, Zn, Cd, and Sb, a strongly polluted status for Mn, Cu, and Pb, and a moderately to strongly polluted status for Fe, Ni, Mo, and Hg. This result indicates that the dominant metal pollution sources of road dust in industrial areas were the traffic activities of heavy-duty vehicles. The mean content of magnetic particles accounted for 44.7% of the total road dust. The metal loadings in the magnetic road dust were 86% (Fe), 77% (Cr), 67% (Mn), 86% (Ni), 76% (Cu), 72% (Zn), 64% (Mo), and 62% (Cd), respectively. Removal of the magnetic fraction from road dust using magnetic separation techniques not only reduces metal contamination but can also improve effective road cleaning strategies or reduce waste generation.
Predicting Detached Housing Vacancy: A Multilevel Analysis
Authors: Lee Jaekyung , Newman Galen , Lee Changyeon
Published: January 2022

Urban shrinkage is a critical issue in local small- and medium-sized cities in Korea. While there have been several studies to analyze the causes and consequences of vacancy increases, most have only focused on socioeconomic associations at larger scale and failed to consider individual housing level characteristics, primarily due to a lack of appropriate data. Based on data including 52,400 individual parcels, this study analyzes the primary contributors to vacant properties and their spatial distribution through a multilevel model design based on data for each parcel. Then, we identify areas at high risk of vacancy in the future to provide evidence to establish policies for improving the local environment. Results indicate that construction year, building structure, and road access conditions have a significant effect on vacant properties at the individual parcel level, and the presence of schools and hypermarket within 500 m are found to decrease vacant properties. Further, prediction outcomes show that the aged city center and areas with strict regulations on land use are expected to have a higher vacancy rate. These findings are used to provide a set of data-based revitalization strategies through the development of a vacancy prediction model.
A Blueprint for Ocean Literacy: EU4Ocean
Authors: Zielinski Tymon , Kotynska-Zielinska Izabela , Garcia-Soto Carlos
Published: January 2022

In this paper, we discuss the importance of the efficient communication of science results to citizens across the world. In order for people to absorb information, we need to understand the principles and apply the best available means to facilitate the process of increasing global awareness of the changes. This explicitly applies to the verification of how we appeal to people with respect to various environmental issues and, hence, how we can modernize the educational approaches to challenge the global change. We state that, in order to follow the philosophy of sustainable development goals with respect to ocean issues, we need an attractive alternative to the existing areas of consumption. We also state that the ocean issues are at the core of any process aiming to secure sustainability. New methods and tools of education and scientific communication, especially those which are offered by non-formal approaches, are necessary, and we present here some of the activities of the EU4Ocean coalition as best practice examples.
Development of a Business Assessment and Diagnosis Tool That Considers the Impact of the Human Factor during Industrial Revolutions
Authors: Torres Maximilian B. , Gallego-García Diego , Gallego-García Sergio , García-García Manuel
Published: January 2022

Over time, the satisfaction of needs and the ability to meet them have consistently increased. However, the world of the 21st century is one in which the basic needs of millions of human beings are still not satisfied. Why? To an extent, nonprofit organizations such as charities play essential roles in the needed improvement of this situation. In this regard, the human factor within an organization is key influence in organizational performance and societal impact. Human beings within organizations make decisions based on their own motives, so the ethical values of each person are significantly important. Therefore, it is necessary to use analyze the potential of the human factor in the fourth industrial revolution and to analyze its influence in the previous industrial revolutions. This research was aimed to conduct such analyses for a nonprofit charity. Moreover, the authors of this paper also analyzed the industrial revolution potentials of the charity case study using system dynamics. The relevance of the presented paper was ensured by the aforementioned combination of topics. The results showed how greater impacts, higher expenses, and higher stocks were not necessarily able to quantitatively satisfy food needs in a timely manner if the human factor and global effectiveness and efficiency were not optimized. When these aspects were optimized, our hypothesis was proven, as the models set for further industrial revolutions were shown to provide better results in the satisfaction, efficiency, and economic indicators with a lower financial need; therefore, this model can be used to satisfy other needs of Maslow’s pyramid. In conclusion, this proposed approach empowers welfare organizations to increase their CSR consideration, thus enabling them to use internal mechanisms to secure viability in the pursuit of a high-performance CSR approach.
Social Psychology and the Willingness of Different Citizens to Participate in a Car Lottery
Authors: Zhu Junze , Guan Hongzhi , Yan Hai , Wang Hongfei
Published: January 2022

To investigate citizens’ participation behavior in the lottery under the influence of the license plate lottery policy (LPLP) and to guide them to participate in the lottery rationally, this paper, based on social psychology and combined with the theory of planned behavior, divides citizens into citizens with cars in their households and citizens without cars in their households. This study then separately constructs structural equation models, sets perceived car necessity (PCN), perceived behavioral control (PBC), attitude toward car ownership (ATT), and subjective norms (SN), respectively. These four psychological latent variables were used to analyze the participation behavior of different categories of citizens in the car lottery from the perspective of psychological factors. Our empirical study found that there are significant differences in age and the number of people living together. The mechanism of their intention to participate in the car lottery and the psychological factors are different. The psychological factors affecting the intention of people with a car and people without a car to participate in the car lottery are SN > ATT > PCN > PBC and ATT > SN > PBC, respectively. Our research results can help to identify the internal factors and mechanisms that influence citizens’ intention to participate in the car lottery and help government administrators to optimize the LPLP.
Shear Response of Recycled Aggregates Concrete Deep Beams Containing Steel Fibers and Web Openings
Authors: Kachouh Nancy , El-Maaddawy Tamer , El-Hassan Hilal , El-Ariss Bilal
Published: January 2022

Replacement of natural aggregates (NAs) with recycled concrete aggregates (RCAs) in complex reinforced concrete (RC) structural elements, such as deep beams with openings, supports environmental sustainability in the construction industry. This research investigates the shear response of RC deep beams with openings made with 100% RCAs. It also examines the effectiveness of using steel fibers as a replacement to the minimum conventional steel stirrups in RCA-based deep beams with web openings. A total of seven RC deep beams with a shear span-to-depth ratio (a/h) of 0.8 were constructed and tested. A circular opening with an opening height-to-depth ratio (h0/h) of 0.3 was placed in the middle of each shear span. Test parameters included the type of the coarse aggregate (NAs and RCAs), steel fiber volume fraction (vf = 1, 2, and 3%), and presence of the minimum conventional steel stirrups. The deep beam specimens with web openings made with 100% RCAs exhibited 13 to 18% reductions in the shear capacity relative to those of their counterparts made with NAs. The inclusion of conventional steel stirrups in RC deep beams with openings was less effective in improving the shear response when 100% RCAs was used. The addition of steel fibers remarkably improved the shear response of the tested RCA-based beams. The gain in the shear capacity of the RCA-based beams caused by the inclusion of steel fibers was in the range of 39 to 84%, whereas the use of conventional steel stirrups resulted in 18% strength gain. The use of 1% steel fiber volume fraction in the RCA-based beam with openings without steel stirrups was sufficient to restore 96% of the original shear capacity of the NA-based beam with conventional steel stirrups. The shear capacities obtained from the tests were compared with predictions of published analytical models. The predicted-to-measured shear capacity was in the range of 0.71 to 1.49.
From Waste to Watts: Updates on Key Applications of Microbial Fuel Cells in Wastewater Treatment and Energy Production
Authors: Elhenawy Salma , Khraisheh Majeda , AlMomani Fares , Al-Ghouti Mohammad , Hassan Mohammad K.
Published: January 2022

Due to fossil fuel depletion and the rapid growth of industry, it is critical to develop environmentally friendly and long-term alternative energy technologies. Microbial fuel cells (MFCs) are a powerful platform for extracting energy from various sources and converting it to electricity. As no intermediate steps are required to harness the electricity from the organic substrate’s stored chemical energy, MFC technology offers a sustainable alternative source of energy production. The generation of electricity from the organic substances contained in waste using MFC technology could provide a cost-effective solution to the issue of environmental pollution and energy shortages in the near future. Thus, technical advancements in bioelectricity production from wastewater are becoming commercially viable. Due to practical limitations, and although promising prospects have been reported in recent investigations, MFCs are incapable of upscaling and of high-energy production. In this review paper, intensive research has been conducted on MFCs’ applications in the treatment of wastewater. Several types of waste have been extensively studied, including municipal or domestic waste, industrial waste, brewery wastewater, and urine waste. Furthermore, the applications of MFCs in the removal of nutrients (nitrogen and sulphates) and precious metals from wastewater were also intensively reviewed. As a result, the efficacy of various MFCs in achieving sustainable power generation from wastewater has been critically addressed in this study.
Spatial-Temporal Variation of Snow Black Carbon Concentration in Snow Cover in Northeast China from 2001 to 2016 Based on Remote Sensing
Authors: Zheng Yanjiao , Zhang Lijuan , Li Wenliang , Zhang Fan , Zhong Xinyue
Published: January 2022

The amount of black carbon (BC) on snow surface can significantly reduce snow surface albedo in the visible-light range and change the surface radiative forcing effect. Therefore, it is key to study regional and global climate changes to understand the BC concentration on snow. In this study, we simulated the BC concentration on the surface snow of northeast China using an asymptotic radiative transfer model. From 2001 to 2016, the BC concentration showed no significant increase, with an average increase of 82.104 ng/g compared with that in the early 21st century. The concentration of BC in December was the largest (1344.588 ng/g) and decreased in January and February (1248.619 ng/g and 983.635 ng/g, respectively). The high black carbon content centers were concentrated in the eastern and central regions with dense populations and concentrated industries, with a concentration above 1200 ng/g, while the BC concentration in the southwest region with less human activities was the lowest (below 850 ng/g), which indicates that human activities played an important role in snow BC pollution. Notably, Heilongjiang province has the highest concentration, which may be related to its atmospheric stability in winter. These findings suggest that the BC pollution in northeast China has been aggravated from 2001 to 2016. It is estimated that the snow surface albedo will decrease by 16.448% due to the BC pollution of snow in northeast China. The problem of radiative forcing caused by black carbon to snow reflectivity cannot be ignored.
Proposal of a Facile Method to Fabricate a Multi-Dope Multiwall Carbon Nanotube as a Metal-Free Electrocatalyst for the Oxygen Reduction Reaction
Authors: Bakhtavar Sara , Mehrpooya Mehdi , Manoochehri Mahboobeh , Karimkhani Mehrnoosh
Published: January 2022

In this study, a one-pot, low-temperature synthesis method is considered for the fabrication of heteroatom dope multiwall carbon nanotubes (MWCNT). Doped MWCNT is utilized as an effective electrocatalyst for oxygen reduction reaction (ORR). Single, double, and triple doping of boron, nitrogen and sulfur elements are utilized as the dopants. A reflux system with temperature of 180 °C is implemented in the doping procedure. Actually, unlike the previous studies in which doping on the carbon structures was performed using a furnace at temperatures above 700 °C, in this green and sustainable method, the triple doping on MWCNT is conducted at atmospheric pressure and low temperature. The morphology and structure of the fabricated catalysts were evaluated by Fourier-transform infrared spectroscopy (FTIR), field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM) and Raman spectroscopy. According to the results, the nanoparticles were encapsulated in the carbon nanotubes. Aggregated clusters of the sulfur in the case of S-MWCNT are considerable. Cyclic voltammetry (CV), rotating disk electrode, linear sweep voltammetry (LSV), and chronoamperometry electrochemical tests are employed for assessing the oxygen reduction activity of the catalysts. The results illustrate that by using this doping method, the onset potential shifts to positive values towards the oxidized MWCNT. It can be deduced that by doping the N, B, and S atoms on MWCNTs, the defects in the CNT structure, which serve as active sites for ORR application, increase. The N/S/B-doped graphitic layers have a more rapid electron transfer rate at the electrode/electrolyte interface. Thus, this can improve the electrochemistry performance and electron transfer of the MWCNTs. The best performance and electrochemical activity belonged to the NB-MWCNT catalyst (−0.122 V vs. Ag/AgCl). Also, based on the results gained from the Koutecky–Levich (KL) plot, it can be said that the ORR takes place through the 4 e− pathway.
The Improvement of the Regional Regulatory Governance System for Radiation Risk Management: Spatial Analysis on Radiation Hazards in South Korea
Authors: Lee Sangwon , Lim Jaewon , Yi Chan-Goo
Published: January 2022

Since the 2011 Fukushima nuclear power plant accident, nuclear regulators have strengthened safety standards or decided to decommission the nuclear power plant. The vast majority of radiation is from nuclear power plants, so safety measures are also concentrated in nuclear power plants. Radioactive materials located much closer to the people are scattered around the nation. However, it is difficult for citizens to predict the radiation risk around them because regulatory agencies do not provide adequate information on radiation. The main goal of this study is to analyze the spatial distribution patterns of radioactive materials that serve as indicators for potential risk from a radiological hazard. The empirical findings in this study demonstrate the presence of spatial autocorrelation for the number of radiation licenses among 244 regions in the Republic of Korea. The policy implications are three-fold: (1) it is necessary to improve regulatory governance in consideration of permitted use; (2) the regional offices of regulatory agency can be established based on the identified spatial distribution of permitted use; (3) it is required to improve the information-disclosure system for materials. This study provides an opportunity to create a safer society by understanding the radiation around the public in general.
Re-Inhabiting Inner Areas Triggering New Regeneration Trajectories: The Case Study of Sicani in Sicily
Authors: Lino Barbara , Contato Annalisa , Ferrante Mauro , Frazzica Giovanni , Macaluso Luciana , Sabatini Francesca
Published: January 2022

The Italian debate on the so-called ‘inner areas’ has received a much-needed boost, following the COVID-19 pandemic, which has further highlighted the differences between metropolitan and inner areas. While the progressive depopulation of inner areas is a worrying phenomenon, the limits of incessant urbanisation and the concentration of settlement and infrastructure policies in large conurbations have become evident. Departing from the framework of the B4R-Branding4Resilience research project of national interest and, by continuing in the furrow initiated by the SNAI, but also surpassing it, the aim of the University of Palermo’s research is to define the requirement for a more inclusive settlement model in the Sicani area in Sicily (Italy) to re-balance existing asymmetries by recharging peripheral areas with new centrality. The aims of the research are to demonstrate that inner areas could be an engine for innovation, thereby outlining a roadmap through which to encourage the resilience of new sustainable lifestyles. These aims would be achieved by working on new perspectives and projects, which are capable of radically modifying production, consumption, and tourism dynamics and work/life models, and which are gleaned from a study regarding the Sicani area in Sicily. The paper discusses case study quantitative and qualitative analyses and first results.
Life Cycle Environmental Impacts and Health Effects of Protein-Rich Food as Meat Alternatives: A Review
Authors: Cellura Maurizio , Cusenza Maria Anna , Longo Sonia , Luu Le Quyen , Skurk Thomas
Published: January 2022

The food sector is responsible for a considerable impact on the environment in most environmental contexts: the food supply chain causes greenhouse gas emissions, water consumption, reduction in cultivable land, and other environmental impacts. Thus, a change in food supply is required to reduce the environmental impacts caused by the food supply chain and to meet the increasing demand for sufficient and qualitative nutrition. Large herds of livestock are inappropriate to achieve these goals due to the relevant impact of meat supply chain on the environment, e.g., the land used to grow feed for animals is eight times more than that for human nutrition. The search for meat alternatives, especially for the intake of critical nutrients such as protein, is a consequent step. In the above context, this paper summarizes the health aspects of protein-rich food alternatives to meat and carries out a literature review on the life-cycle environmental impacts of this alternative food.
Evaluation of the Accuracy of Different PV Estimation Models and the Effect of Dust Cleaning: Case Study a 103 MW PV Plant in Jordan
Authors: Al-Ghussain Loiy , Subaih Moath Abu , Annuk Andres
Published: January 2022

The estimation of PV production has been widely investigated previously, where many empirical models have been proposed to account for wind and soiling effects for specific locations. However, the performance of these models varies among the investigated sites. Hence, it is vital to assess and evaluate the performance of these models and benchmark them against the common PV estimation model that accounts only for the ambient temperature. Therefore, this study aims to evaluate the accuracy and performance of four empirical wind models considering the soiling effect, and compare them to the standard model for a 103 MW PV plant in Jordan. Moreover, the study investigates the effect of cleaning frequency on the annual energy production and the plant’s levelized cost of electricity (LCOE). The results indicate almost identical performance for the adopted models when comparing the actual energy production with R2 and RMSE (root mean square error) ranges of 0.93–0.98 and 0.93–1.56 MWh for both sub-plants, with a slight superiority of the models that incorporate wind effect. Finally, it is recommended in this study to clean the PV panels every two weeks instead of every three months, which would increase annual energy production by 4%, and decrease the LCOE by 5% of the two PV sub-plants.
The “Expo” and the Post-“Expo”: The Role of Public Art in Urban Regeneration Processes in the Late 20th Century
Authors: Ochoa Rita
Published: January 2022

In 1998, the Lisbon Universal Exhibition—Expo’98—led to an urban regeneration process on Lisbon’s waterfront. Following the example of other cities, this event was a pretext for rethinking and replacing a depressed area and for reconnecting it with the Tagus river through the creation of a set of new spaces for common use along the water. It was promoted as a public art program, which can be considered quite innovative in the Portuguese context. In view of this framework, this article aims to debate the relationships between public art and the dynamics of urban regeneration at the end of the 20th century. For that, it will analyse: (1) Expo’98’s public art program, comparing its initial assumptions with the final results; and (2) the impact of this program, through the identification of the placement of public art before (1974–1998) and after (1999–2009) the event. Although most of the implemented works did not (intentionally) explore aspects of space integration nor issues of public space appropriation, Expo’98’s public art program originated a monumentalisation of Lisbon’s eastern riverfront, later extended to other waterfront areas. At the same time, it played an important role in the way of understanding the city and public space that decisively influenced subsequent policies and projects. It is concluded that public art had a significant role in urban processes in the late 20th century, which is quite evident in a discourse of urban art as space qualifier and as a means of economic and social development.
Microgrid Operations Planning Based on Improving the Flying Sparrow Search Algorithm
Authors: Nguyen Trong-The , Ngo Truong-Giang , Dao Thi-Kien , Nguyen Thi-Thanh-Tan
Published: January 2022

Microgrid operations planning is crucial for emerging energy microgrids to enhance the share of clean energy power generation and ensure a safe symmetry power grid among distributed natural power sources and stable functioning of the entire power system. This paper suggests a new improved version (namely, ESSA) of the sparrow search algorithm (SSA) based on an elite reverse learning strategy and firefly algorithm (FA) mutation strategy for the power microgrid optimal operations planning. Scheduling cycles of the microgrid with a distributed power source’s optimal output and total operation cost is modeled based on variables, e.g., environmental costs, electricity interaction, investment depreciation, and maintenance system, to establish grid multi-objective economic optimization. Compared with other literature methods, such as Genetic algorithm (GA), Particle swarm optimization (PSO), Firefly algorithm (FA), Bat algorithm (BA), Grey wolf optimization (GWO), and SSA show that the proposed plan offers higher performance and feasibility in solving microgrid operations planning issues.
Symmetry Control of Comfortable Vehicle Suspension Based on H∞
Authors: Hou Jiguang , Cao Xianteng , Zhan Changshu
Published: January 2022

Suspension is an important part of intelligent and safe transportation; it is the balance point between the comfort and handling stability of a vehicle under intelligent traffic conditions. In this study, a control method of left-right symmetry of air suspension based on H∞ theory was proposed, which was verified under intelligent traffic conditions. First, the control stability caused by the active suspension control system running on uneven roads needs to be ensured. To address this issue, a 1/4 vehicle active suspension model was established, and the vertical acceleration of the vehicle body was applied as the main index of ride comfort. H∞ performance constraint output indicators of the controller contained the tire dynamic load, suspension dynamic stroke, and actuator control force limit. Based on the Lyapunov stability theory, an output feedback control law with H∞-guaranteed performance was proposed to constrain multiple targets. This way, the control problem was transformed into a solution to the Riccati equation. The simulation results showed that when dealing with general road disturbances, the proposed control strategy can reduce the vehicle body acceleration by about 20% and meet the requirements of an ultimate suspension dynamic deflection of 0.08 m and a dynamic tire load of 1500 N. Using this symmetrical control method can significantly improve the ride comfort and driving stability of a vehicle under intelligent traffic conditions.
Entropy of Artificial Intelligence
Authors: Biró Tamás Sándor , Jakovác Antal
Published: January 2022

We describe a model of artificial intelligence systems based on the dimension of the probability space of the input set available for recognition. In this scenario, we can understand a subset, which means that we can decide whether an object is an element of a given subset or not in an efficient way. In the machine learning (ML) process we define appropriate features, in this way shrinking the defining bit-length of classified sets during the learning process. This can also be described in the language of entropy: while natural processes tend to increase the disorder, that is, increase the entropy, learning creates order, and we expect that it decreases a properly defined entropy.
Bacterial Toxins from Staphylococcus aureus and Bordetella bronchiseptica Predispose the Horse’s Respiratory Tract to Equine Herpesvirus Type 1 Infection
Authors: Van Crombrugge Eline , Vanbeylen Emma , Van Cleemput Jolien , Van den Broeck Wim , Laval Kathlyn , Nauwynck Hans
Published: January 2022

Respiratory disease in horses is caused by a multifactorial complex of infectious agents and environmental factors. An important pathogen in horses is equine herpesvirus type 1 (EHV-1). During co-evolution with this ancient alphaherpesvirus, the horse’s respiratory tract has developed multiple antiviral barriers. However, these barriers can become compromised by environmental threats. Pollens and mycotoxins enhance mucosal susceptibility to EHV-1 by interrupting cell junctions, allowing the virus to reach its basolateral receptor. Whether bacterial toxins also play a role in this impairment has not been studied yet. Here, we evaluated the role of α-hemolysin (Hla) and adenylate cyclase (ACT), toxins derived from the facultative pathogenic bacterium Staphylococcus aureus (S. aureus) and the primary pathogen Bordetella bronchiseptica (B. bronchiseptica), respectively. Equine respiratory mucosal explants were cultured at an air–liquid interface and pretreated with these toxins, prior to EHV-1 inoculation. Morphological analysis of hematoxylin–eosin (HE)-stained sections of the explants revealed a decreased epithelial thickness upon treatment with both toxins. Additionally, the Hla toxin induced detachment of epithelial cells and a partial loss of cilia. These morphological changes were correlated with increased EHV-1 replication in the epithelium, as assessed by immunofluorescent stainings and confocal microscopy. In view of these results, we argue that the ACT and Hla toxins increase the susceptibility of the epithelium to EHV-1 by disrupting the epithelial barrier function. In conclusion, this study is the first to report that bacterial exotoxins increase the horse’s sensitivity to EHV-1 infection. Therefore, we propose that horses suffering from infection by S. aureus or B. bronchiseptica may be more susceptible to EHV-1 infection.
Four Novel Mycoviruses from the Hypovirulent Botrytis cinerea SZ-2-3y Isolate from Paris polyphylla: Molecular Characterisation and Mitoviral Sequence Transboundary Entry into Plants
Authors: Wang Qiong , Zou Qi , Dai Zhaoji , Hong Ni , Wang Guoping , Wang Liping
Published: January 2022

A hypovirulent SZ-2-3y strain isolated from diseased Paris polyphylla was identified as Botrytis cinerea. Interestingly, SZ-2-3y was coinfected with a mitovirus, two botouliviruses, and a 3074 nt fusarivirus, designated Botrytis cinerea fusarivirus 8 (BcFV8); it shares an 87.2% sequence identity with the previously identified Botrytis cinerea fusarivirus 6 (BcFV6). The full-length 2945 nt genome sequence of the mitovirus, termed Botrytis cinerea mitovirus 10 (BcMV10), shares a 54% sequence identity with Fusarium boothii mitovirus 1 (FbMV1), and clusters with fungus mitoviruses, plant mitoviruses and plant mitochondria; hence BcMV10 is a new Mitoviridae member. The full-length 2759 nt and 2812 nt genome sequences of the other two botouliviruses, named Botrytis cinerea botoulivirus 18 and 19 (BcBoV18 and 19), share a 40% amino acid sequence identity with RNA-dependent RNA polymerase protein (RdRp), and these are new members of the Botoulivirus genus of Botourmiaviridae. Horizontal transmission analysis showed that BcBoV18, BcBoV19 and BcFV8 are not related to hypovirulence, suggesting that BcMV10 may induce hypovirulence. Intriguingly, a partial BcMV10 sequence was detected in cucumber plants inoculated with SZ-2-3y mycelium or pXT1/BcMV10 agrobacterium. In conclusion, we identified a hypovirulent SZ-2-3y fungal strain from P. polyphylla, coinfected with four novel mycoviruses that could serve as potential biocontrol agents. Our findings provide evidence of cross-kingdom mycoviral sequence transmission.
Nectin-2 Acts as a Viral Entry Mediated Molecule That Binds to Human Herpesvirus 6B Glycoprotein B
Authors: Ogawa Hirohito , Fujikura Daisuke , Namba Hikaru , Yamashita Nobuko , Honda Tomoyuki , Yamada Masao
Published: January 2022

Human herpesvirus 6B (HHV-6B) is a T-lymphotropic virus and the etiological agent of exanthem subitum. HHV-6B is present in a latent or persistent form after primary infection and is produced in the salivary glands or transmitted to this organ. Infected individuals continue to secrete the virus in their saliva, which is thus considered a source for virus transmission. HHV-6B primarily propagates in T cells because its entry receptor, CD134, is mainly expressed by activated T cells. The virus then spreads to the host’s organs, including the salivary glands, nervous system, and liver. However, CD134 expression is not detected in these organs. Therefore, HHV-6B may be entering cells via a currently unidentified cell surface molecule, but the mechanisms for this have not yet been investigated. In this study, we investigated a CD134-independent virus entry mechanism in the parotid-derived cell line HSY. First, we confirmed viral infection in CD134-membrane unanchored HSY cells. We then determined that nectin cell adhesion molecule 2 (nectin-2) mediated virus entry and that HHV-6B-insensitive T-cells transduced with nectin-2 were transformed into virus-permissive cells. We also found that virus entry was significantly reduced in nectin-2 knockout parotid-derived cells. Furthermore, we showed that HHV-6B glycoprotein B (gB) interacted with the nectin-2 V-set domain. The results suggest that nectin-2 acts as an HHV-6B entry-mediated protein.