bluuebunny/crossref_metadata_2025 huggingface dataset:
The Challenges of Promoting Social Inclusion through Sport: The Experience of a Sport-Based Initiative in Italy
Authors: D’Angelo Chiara , Corvino Chiara , Gozzoli Caterina
Published: May 2021

Social inclusion is broadly recognized as a priority to accomplish at an international level. While the influence of sport toward this social mission has been largely debated, literature lacks contributions capturing the challenges of sport when promoting social inclusion. Based in case study methodology, the investigation explores the impact of a multi-stakeholder sport initiative developing social inclusion for socially vulnerable youth and the related challenges of the intervention through in-depth interviews with diverse program stakeholders. The main findings indicated the emergence of four challenges: limited transferability of program outcomes for youth in living conditions of severe vulnerability; drop-out of youth in living conditions of severe vulnerability; limited sustainability of program social workers; lack of sports club management skills. The work highlights some limits of sport-based programs for social inclusion and discusses some implications for practice to maximize the societal impact of such interventions.
Asian Americans’ Indifference to Black Lives Matter: The Role of Nativity, Belonging and Acknowledgment of Anti-Black Racism
Authors: Yellow Horse Aggie J. , Kuo Karen , Seaton Eleanor K. , Vargas Edward D.
Published: May 2021

This paper assesses how ongoing historical racism and nativism as embedded within U.S. culture requires new and important dialogues about the omnipresence of White supremacy and its interconnected mechanisms that divide communities along the lines of race and perceived in-group status. To assess the role of immigration as it is understood through paradigms of White supremacy and systemic racism, the current study examines individual-level predictors of indifference to the BLM movement based on nativity status among Asian Americans—a racialized pan-ethnic group that is comprised of predominantly foreign-born members. Using the 2016 Collaborative Multiracial Post-Election Survey, one of the few nationally representative surveys that include detailed information about the Black Lives Matter movement, our study includes 1371 Asian immigrants (i.e., foreign-born Asian Americans) and 1635 U.S.-born Asian Americans. Results demonstrate that reporting indifference to the BLM movement differ by nativity such that foreign-born Asian Americans were significantly more likely to report indifference to the BLM movement compared to their U.S.-born Asian American counterparts. However, the impact of nativity disappears once we account for sense of belonging and acknowledgement of anti-Black racism. The sense of belonging was significant in predicting indifference to the BLM movement among U.S.-born Asian Americans only. The findings contribute to our understanding of racial sense making for Asian Americans as well as an understanding of how White supremacy translates to anti-Black racism through multiple and interconnected mechanisms for the maintenance of White supremacy.
The Nexus of Sophisticated Digital Assets with Economic Policy Uncertainty: A Survey of Empirical Findings and an Empirical Investigation
Authors: Kyriazis Nikolaos A.
Published: May 2021

This paper sets out to explore the nexus between economic policy uncertainty (EPU) and digital currencies. An integrated survey takes place based on eleven primary studies. Furthermore, an econometric analysis is conducted by the threshold ARCH, simple asymmetric ARCH and non-linear ARCH specifications covering the bull and the bear markets as well as the highly volatile period up to the present. Threshold ARCH is found to provide the best fit for estimations. Outcomes reveal that Bitcoin is strongly connected with EPU while Ethereum and Litecoin are not but are strongly linked with Bitcoin performance. Moreover, weak negative effects of the VIX on both cryptocurrencies are detected while oil exerts weak positive impacts on Ethereum. Overall, Ethereum and Litecoin could serve for diversifiers against Bitcoin or hedgers against traditional assets during highly stressed periods with the advantage of not being affected by economic policy uncertainty news.
Does a Test Ride Influence Attitude towards Autonomous Vehicles? A Field Experiment with Pretest and Posttest Measurement
Authors: Feys Manon , Rombaut Evy , Vanhaverbeke Lieselot
Published: May 2021

Autonomous vehicles have the potential to disrupt the mobility system. Therefore, it is important to understand attitude formation towards autonomous vehicles. The focus of this study is on the private user’s technology acceptance of an autonomous vehicle. The study applies the determinants of technology acceptance to capture users’ attitude towards and intention to adopt autonomous vehicles. A field experiment with 27 participants was conducted to assess changes in determinants before and after a test ride with a level 2 automated vehicle. The automated vehicle was equipped with technology that allowed a hands-off, feet-off experience on a public road in real traffic. The results show that a ride has a positive and significant effect on attitudes towards autonomous vehicles. Additionally, participants with higher ratings of technology anxiety show a remarkable increase in attitude towards autonomous vehicles after the ride compared to participants with lower levels of technology anxiety. These findings indicate that experience with a partially automated vehicle has a potentially positive effect on the acceptance of autonomous vehicles. As such, our study illustrates the importance of continuous pilot testing with private automated vehicles to increase future user acceptance of autonomous vehicles.
Forecasting of Disassembly Waste Generation under Uncertainties Using Digital Twinning-Based Hidden Markov Model
Authors: Yang Yinsheng , Yuan Gang , Cai Jiaxiang , Wei Silin
Published: May 2021

Disassembly waste generation forecasting is the foundation for determining disassembly waste treatment and process formulation and is also an important prerequisite for optimizing waste management. The prediction of disassembly waste generation is a complex process which is affected by potential time, environment, and economy characteristic variables. Uncertainty features, such as disassembly amount, disassembly component status, and workshop scheduling, play an important role in predicting the fluctuation of disassembly waste generation. We therefore focus on revealing the trend of waste generation in disassembly remanufacturing that faces significant influences of technology and economic changes to achieve circular industry sustainable development. To dynamically predict the generation of disassembly waste under uncertainty, this work proposes a statistical method driven by a probabilistic model, which integrates the digital twinning, Gaussian mixture, and the hidden Markov model (DG-HMM). First, digital twinning technology is used for real-time data interaction between simulation prediction and decision evaluation. Then, the Gaussian mixture and HMM are used to dynamically predict the generation of disassembly waste. In order to effectively predict the amount of disassembly waste generation, real data collected from a disassembly enterprise are used to train and verify the model. Finally, the proposed model is compared with other general prediction models to illustrate the correctness and feasibility of the proposed model. The comparison results show that DG-HMM has better prediction accuracy for the actual disassembly waste generation.
Understanding Intangible Culture Heritage Preservation via Analyzing Inhabitants’ Garments of Early 19th Century in Weld Quay, Malaysia
Authors: Lim Chen Kim , Ahmed Minhaz Farid , Mokhtar Mazlin Bin , Tan Kian Lam , Idris Muhammad Zaffwan , Chan Yi Chee
Published: May 2021

This qualitative study describes the procedures undertaken to explore the Intangible Culture Heritage (ICH) preservation, especially focusing on the inhabitants’ garments of different ethnic groups in Weld Quay, Penang, which was a multi-cultural trading port during the 19th century in Malaysia. Social life and occupational activities of the different ethnic groups formed the two main spines of how different the inhabitants’ garments would be. This study developed and demonstrated a step-by-step conceptual framework of narrative analysis. Therefore, the procedures used in this study are adequate to serve as a guide for novice researchers who are interested in undertaking a narrative analysis study. Hence, the investigation of the material culture has been exemplified by proposing a novel conceptual framework of narrative analysis. This collaborative method has been utilized to ascertain the narrative data collected from an interview with visual and semiotic analysis. The information derived from the narrative interview is about the materials, colors, and elements of the garments of different ethnic groups (i.e., the Chinese, Indian, Malay and British). This collaborative process provides much valuable contextual and historical information to the researcher, as the interpretation and implicit understandings that underlie the stories people tell are beneficial in preserving and safeguarding this ICH. Therefore, this narrative study validates that the inhabitant’s garments are a means of intangible culture heritage (ICH) preservation and suggests guidance about how to conduct narrative analysis for mining historical data in a more explicit manner.
The Effect of Mobility on the Spread of COVID-19 in Light of Regional Differences in the European Union
Authors: Cheshmehzangi Ali , Sedrez Maycon , Ren Junhang , Kong Dezhou , Shen Yifan , Bao Sinan , Xu Junhao , Su Zhaohui , Dawodu Ayotunde
Published: May 2021

The COVID-19 pandemic has spread rapidly all over the world, affecting many countries to varying degrees. In this study, an in-depth analysis of the factors influencing the spread of COVID-19 is offered mainly through big data in the European Union (EU) context. In doing so, the data of the first wave of the pandemic are assessed. Afterward, we evaluate the impacts of the COVID-19 spread in specific countries and regions. Based on the existing literature, mobility is recognized as a significant direct factor affecting disease transmission. The same applies to the case of COVID-19. However, compared with the analysis of mobility itself, this paper explores more profound reasons that affect mobility, ranging from policy and economy to geographical and transportation factors. Specifically, this paper studies nine EU countries based on their population density and the degree of impact of the epidemic in the first six months (February to July 2020) of the pandemic. Our study aims to illustrate how policies, economies, and geographical locations (including transportation factors) directly or indirectly affect the spread of the novel coronavirus by applying the SEIR model to analyze all selected countries’ big data. The key findings of this research are: (1) the timeliness of relevant policies and the effectiveness of government implementation indirectly limit the spread of the epidemic by reducing population mobility; (2) a better medical level would contribute to detect, isolate, and treat patients, and help control the epidemic; and (3) the large land borders and developed transportation between countries exacerbate the spread of the COVID-19. The paper contributes to ongoing research on COVID-19 by addressing the above points.
Civil Aviation Occurrences in Slovakia and Their Evaluation Using Statistical Methods
Authors: Andrejiova Miriam , Grincova Anna , Marasova Daniela , Koščák Peter
Published: May 2021

The nature of a civil aviation occurrence may be defined in three different categories while considering its severity. General categories include civil aviation accidents, serious incidents and incidents. The present article analyses the civil aviation occurrences in Slovakia which happened in the period from 2000 to 2019. In this period, there was a significant increase in the number of civil aviation occurrences, and incidents, in particular, represented the highest percentage. A Pareto analysis was applied to identify the key incident categories (wildlife strike, technical failures of the aviation technology and unauthorised penetration of airspace). A multiple regression analysis and the Poisson regression were used to create two models of correlations between the number of civil aviation occurrences and the selected input variables. Both models are statistically significant, and, based on the AIC (Akaike Information Criterion), the Poisson regression model appeared to be of higher quality. The model showed, for example, that an increase in variables (the number of commercial aircrafts aged over 14 years and the number of total aircraft movements) resulted in a slight increase in the expected number of civil aviation occurrences.
The Use2Use Design Toolkit—Tools for User-Centred Circular Design
Authors: Rexfelt Oskar , Selvefors Anneli
Published: May 2021

Recent research highlights that the important role users play in the transition to a circular economy is often overlooked. While the current narrative emphasises how to design products fit for circular (re-)production flows, or how to design circular business models, it often fails to address how such solutions can be designed to be attractive to people. As long as products and services are designed in a way that makes people prefer linear options over circular ones, the transition will not gain momentum. To further the understanding of how a user perspective can be valuable for circular design, this paper introduces the Use2Use Design Toolkit and presents initial experiences from using its five tools in design work. The tools were developed between 2016 and 2019 and subsequently applied in 30 workshops with professionals and students. Insights from the workshops suggest that the participants generally found the tools fun, instructive and inspirational. The tools enabled them to discuss circular processes from a user’s point of view and to identify challenges and design opportunities. The toolkit was considered especially relevant and meaningful by product and service designers who needed support to explore circular solutions from a user perspective.
Commercial Vacancy Prediction Using LSTM Neural Networks
Authors: Lee Jaekyung , Kim Hyunwoo , Kim Hyungkyoo
Published: May 2021

Previous studies on commercial vacancy have mostly focused on the survival rate of commercial buildings over a certain time frame and the cause of their closure, due to a lack of appropriate data. Based on a time-series of 2,940,000 individual commercial facility data, the main purpose of this research is two-fold: (1) to examine long short-term memory (LSTM) as a feasible option for predicting trends in commercial districts and (2) to identify the influence of each variable on prediction results for establishing evidence-based decision-making on the primary influences of commercial vacancy. The results indicate that LSTM can be useful in simulating commercial vacancy dynamics. Furthermore, sales, floating population, and franchise rate were found to be the main determinants for commercial vacancy. The results suggest that it is imperative to control the cannibalization of commercial districts and develop their competitiveness to retain a consistent floating population.
Synergistic Effect of Carbon Trading Scheme on Carbon Dioxide and Atmospheric Pollutants
Authors: Li Zhiguo , Wang Jie , Che Shuai
Published: May 2021

To estimate the synergistic emission reduction effect resulting from carbon emissions trading scheme (ETS) pilots launched in 2013, this study estimated the synergistic emission reduction relationship between carbon dioxide (CO2) and atmospheric pollutants, consisting of sulfur dioxide (SO2), nitrogen oxides (NOX), dust pollutants (Dust) and particulate matter 2.5 (PM2.5). Using the extended logarithmic mean Divisia index (LMDI) method and the IPAT equation, the synergistic emission reduction effect was decomposed into direct and indirect categories driven by energy efficiency, economic development and industrial structure. Moreover, the synergistic emission reduction effect of ETS pilots was quantified with the difference-in-differences method (DID) and propensity score matching difference-in-differences method (PSM-DID). The results show that, from 2013 to 2016, CO2 and atmospheric pollutants achieved emission reduction synergistically through ETS, among which the synergistic emission reduction effect between CO2 and SO2 was most significant. Compared with the direct category, the indirect category accounted for smaller proportion of the synergistic emission reduction effect. The combined action of energy efficiency and industrial structure has a potential positive influence on synergistic emission reduction effect of ETS. Consequently, this suggests that the government needs to develop the domestic carbon market further, improve energy efficiency and optimize industrial structure to promote synergistic emission reduction.
Microplastic Types in the Wastewater System—A Comparison of Material Flow-Based Source Estimates and the Measurement-Based Load to a Wastewater Treatment Plant
Authors: Fältström Emma , Olesen Kristina Borg , Anderberg Stefan
Published: May 2021

Microplastics are omnipresent in the environment, and wastewater treatment plants (WWTPs) have been highlighted as a transport pathway. The aim of this study is to contribute to increased understanding of microplastic sources in wastewater and test the possibilities of source tracking. Previous research has focused either on estimating microplastic contribution from various sources or on quantifying occurrence based on measurements. In this paper, these two approaches are compared. Microplastic types detected in the influent to a WWTP in Sweden are compared with estimations of sources in the WWTP catchment area. The total load from the identified sources was estimated to 1.9–14 tonnes/year, and the measurement-based load was 4.2 tonnes/year. In general, there was a good agreement between the two approaches; microplastic types with large shares at the inlet also had large contributions in the source estimates. An exception was cellulose acetate, which was not found at the inlet despite a large theoretical contribution. Many uncertainties remain, which lead to large intervals for the source estimates. The comparison can give an indication into which part of the intervals is most likely. Investigating more WWTPs with different characteristics and including particle morphology will further increase the understanding of sources that contribute to the presence of microplastics in wastewater.
SIRen: An Applied Framework for a Sustainable Renovation Process
Authors: Wallentén Petter , Mjörnell Kristina
Published: May 2021

The renovation of buildings involves multidisciplinary issues and multistakeholder involvement, which makes the process complex to manage. The purpose of this paper is to present a transparent, openly accessible, adaptable framework to ensure a sustainable renovation process, covering the technical, environmental, economic, social, and cultural historical aspects to be considered by the various actors during the renovation process. A framework with an associated process was drawn up, focusing on practical usefulness together with the fundamental idea that sustainability cannot be a sub requirement but must be the overall requirement present in all stages of the process. The framework contains an overview, description of activities, links to external tools and documents, and finally a checklist to be completed after each stage. Depending on which stakeholder uses the framework, there are different examples and suggestions for activities and tools. Contrary to many other assessment schemes, the SIRen process focuses on the renovation process itself, and the self-evaluation gives a numerical value that represents to what extent the actors have considered and implemented different aspects of sustainability in the stages of the renovation process. The SIRen process was partially implemented in four renovation projects during the iterative development of the SIRen framework.
Experimental and Theoretical Analysis of Energy Efficiency in a Flat Plate Solar Collector Using Monolayer Graphene Nanofluids
Authors: Alawi Omer A. , Kamar Haslinda Mohamed , Mallah Abdul Rahman , Mohammed Hussein A. , Sabrudin Mohd Aizad Sazrul , Newaz Kazi Md. Salim , Najafi Gholamhassan , Yaseen Zaher Mundher
Published: May 2021

Flat-plate solar collectors are one of the cleanest and most efficient heating systems available. Studies on the presence of covalently functionalized graphene (Gr) suspended in distilled water as operating fluids inside an indoor flat-plate solar collector (FPSC) were experimentally and theoretically performed. These examinations were conducted under different testing conditions namely 0.025 wt.%, 0.05 wt.%, 0.075 wt.%, and 0.1 wt.%, 0.5, 1, and 1.5 kg/min, 30, 40, and 50 °C, and 500, 750, and 1000 W/m2. Various techniques were used to characterize the functionalized nanofluids’ stability and morphological properties namely UV/Vis spectrophotometry, EDX analysis with a Scanning Electron Microscope (SEM), zeta potential, and nanoparticle size. The results showed that the collected heat improved as the percentage of GrNPs and the fluid mass flow rates increased, although it decreased as the reduced temperature coefficient increased, whereas the maximum increase in collector efficiency at higher concentration was 13% and 12.5% compared with distilled water at 0.025 kg/s. Finally, a new correlation was developed for the base fluid and nanofluids’ thermal efficiency as a function of dropped temperature parameter and weight concentration with 2.758% and 4.232% maximum deviations.
Perceived Sensory Dimensions of Green Areas: An Experimental Study on Stress Recovery
Authors: Memari Sanaz , Pazhouhanfar Mahdieh , Grahn Patrik
Published: May 2021

Natural environments have been shown to promote health, and are, therefore, important for achieving social sustainability in cities. As cities grow and become denser, it is important to develop knowledge about the characteristics of natural environments that work to promote health. Perceived Sensory Dimensions (PSDs) is a tool that defines eight different cultural ecosystem services. They correspond to different human needs (rest, exercise, socialising, pleasure, or security) resulting in rehabilitation and health and well-being promotion. An experiment was conducted to study the potential of PSDs to restore people who experienced stressful accidents. One hundred and fifty-seven participants were recruited and asked first to watch a film clip of serious accidents, then to look at the pictures, depicting one particular type of PSDs, while listening to its respective audio recording. Their stress levels were measured before exposure to the stressor (baseline), after exposure to the stressor (pre-test), and after exposure to a particular type of PSDs (post-test). The results show that all eight PSDs effectively provide mental recovery, but there are statistical differences in their potentials. As such, it is proposed that the combined potential of the PSDs is needed, and should be used to increase the capacity and supply of health-promoting urban green areas.
Systems Engineering for the Energy Transition: Potential Contributions and Limitations
Authors: Kirkels Arjan , Evers Vince , Muller Gerrit
Published: May 2021

Systems engineering finds its origin in analyzing and exploring complicated technical systems. In this positioning paper, we set out to discuss the value and limitations of a Systems Engineering approach in its contribution to societal challenges, notably the energy transition. We conceptualize the energy system as a sociotechnical system. We specifically explore stakeholders and their roles, agency, and acceptance. We illustrate the relevance by a case at the municipal level that shows the relevance of acceptance, pluralism, distributed agency, context, and process aspects. The municipality is still in a phase of exploration and conceptualization. Systems Engineering can be of great value in this phase to explore the problem and solution space. However, to make the most of this requires that Systems Engineering addresses policy making, distributed agency, and complexity. We discuss the challenges this poses for the traditional Systems Engineering approach; we indicate several potential strategies to address these challenges, and we show two fields that can help clarify how to address these challenges: transition studies and sustainability assessment.
Assessment of Tuscany Landscape Structure According to the Regional Landscape Plan Partition
Authors: Venturi Martina , Piras Francesco , Corrieri Federica , Fiore Beatrice , Santoro Antonio , Agnoletti Mauro
Published: May 2021

The landscape is considered a strategic asset by the Tuscan regional government, also for its economic role, meaning that a specific Landscape Plan has been developed, dividing the region into 20 Landscape Units and representing the main planning instrument at the regional level. Following the aims of the Landscape Plan and the guidelines of the European Landscape Convention, it is necessary to develop an adequate assessment of the landscape, evaluating the main typologies and their characteristics. The aim of this research is to carry out an assessment of the landscape diversity in Tuscany based on 20 study areas, analyzing land uses and landscape mosaic structures through the application of landscape metrics: number of land uses, mean patch size (MPS), Hill’s diversity number, edge density (ED), patch density (PD), land use diversity (LUD). The results highlight a correlation between the landscape typologies (forest, agricultural, mixed, periurban) and the complexity of the landscape structure, especially in relation to MPS and PD, while the combination of PD and LUD calculated on the basis of a hexagonal grid allows obtaining landscape complexity maps. Despite the phenomena of reforestation and urban sprawl of recent decades, Tuscany still preserves different landscape typologies characterized by a good level of complexity. This is particularly evident in mixed landscapes, while agricultural landscapes have a larger variability because of different historical land organization forms. The methodology applied in this study provided a large amount of data about land uses and the landscape mosaic structure and complexity and proved to be effective in assessing the landscape structure and in creating a database that can represent a baseline for future monitoring.
The Value of Transfer of Knowledge in Bridging the Gender Gap in STEM
Authors: López Ana Jesús , Pereira Dolores
Published: May 2021

Spanish researchers’ recent evaluations regarding the transfer of knowledge have shown that activities that could help close the gender gap in STEM areas are penalized upon evaluation. The results were very disappointing and, upon inspection, could lead readers to reach certain conclusions: first, Spanish researchers transfer research to society in a mediocre way; second, female researchers are even less capable of transferring knowledge in a profitable, beneficial way; and third, activities without a high economic impact for either society or research institutions are not promoted and do not boost the prestige of researchers in this research area. With the help of an ad hoc questionnaire responded to by 513 researchers (both male and female), we examined the causes of the low scores received by female researchers and whether transfer of knowledge activities focused on promoting STEM among female students end up penalizing the female researchers dedicated to those activities. This issue is compounded by the problem of the low visibility of female role models for young female students. The conscientious analysis of the results of the questionnaire may help to improve the fairness of future application rounds, avoiding subsequent disastrous results and encouraging researchers and administrators to work toward fostering an equal society, even if no economic value is directly derived from female-led research.
The Impact of Water and Soil Scarcity and Pollution on Industrial Agglomeration: Evidence from China
Authors: Zhu Yingming , Li Yuan , Wang Yi , Li Lingfeng
Published: May 2021

Water and soil scarcity and pollution have become more severe problems in China in recent years. On one hand, rapid economic growth has led to increasing environmental problems. On the other hand, the environmental problems resulting from human economic activities can impose new constraints on industrial agglomeration, making economic development unsustainable. In the present study, an individual fixed-effect model was constructed based on the framework of the new economic geography and the provincial-level data of China. The model estimated its parameters with OLS in order to analyze how the mechanisms of industrial agglomeration are affected by resource security and environmental factors. In addition, this study also used Hausman statistical tests and Fisher–PP unit root tests to analyze the endogenous problems and robustness of the model, respectively. The results showed that water and soil scarcity and environmental pollution have negative effects on industrial agglomeration. The negative effects were observed to significantly increase with levels of local government competition, but did not vary with the regional market segmentation.
Bayesian Reference Analysis for the Generalized Normal Linear Regression Model
Authors: Tomazella Vera Lucia Damasceno , Jesus Sandra Rêgo , Gazon Amanda Buosi , Louzada Francisco , Nadarajah Saralees , Nascimento Diego Carvalho , Rodrigues Francisco Aparecido , Ramos Pedro Luiz
Published: May 2021

This article proposes the use of the Bayesian reference analysis to estimate the parameters of the generalized normal linear regression model. It is shown that the reference prior led to a proper posterior distribution, while the Jeffreys prior returned an improper one. The inferential purposes were obtained via Markov Chain Monte Carlo (MCMC). Furthermore, diagnostic techniques based on the Kullback–Leibler divergence were used. The proposed method was illustrated using artificial data and real data on the height and diameter of Eucalyptus clones from Brazil.
Morphometric Evaluation of Detailed Asymmetry for the Proximal Humerus in Korean Population
Authors: Hong Eunah , Kwak Dai-Soon , Kim In-Beom
Published: May 2021

Computer-assisted orthopedic surgery and patient-specific instruments are widely used in orthopedic fields that utilize contralateral side bone data as a template to restore the affected side bone. The essential precondition for these techniques is that the left and right bone features are similar. Although proximal humerus fracture accounts for 4% to 8% of all fractures, the bilateral asymmetry of the proximal humerus is not fully understood. The aim of this study is to investigate anthropometric differences of the bilateral proximal humerus. One hundred one pairs of Korean humerus CT data from 51 females and 50 males were selected for this research. To investigate bilateral shape differences, we divided the proximal humerus into three regions and the proximal humerus further into five sections in each region. The distance from the centroid to the cortical outline at every 10 degrees was measured in each section. Differences were detected in all regions of the left and right proximal humerus; however, males had a larger number of significant differences than females. Large bilateral differences were measured in the greater tubercle. Nevertheless, using contralateral data as a template for repairing an affected proximal humerus might be possible.
Fixed-Point Iterative Method with Eighth-Order Constructed by Undetermined Parameter Technique for Solving Nonlinear Systems
Authors: Wang Xiaofeng
Published: May 2021

In this manuscript, by using undetermined parameter method, an efficient iterative method with eighth-order is designed to solve nonlinear systems. The new method requires one matrix inversion per iteration, which means that computational cost of our method is low. The theoretical efficiency of the proposed method is analyzed, which is superior to other methods. Numerical results show that the proposed method can reduce the computational time, remarkably. New method is applied to solve the numerical solution of nonlinear ordinary differential equations (ODEs) and partial differential equations (PDEs). The nonlinear ODEs and PDEs are discretized by finite difference method. The validity of the new method is verified by comparison with analytic solutions.
Correlation between Dielectric Loss and Partial Discharge of Oil-Pressboard Insulation
Authors: Li Yan , Li Min , Xie Jun
Published: May 2021

Dielectric loss tanδ and partial discharge (PD) are important indicators for status assessment of oil-pressboard insulation. The correlation characteristics between these two parameters has significance for understanding the material’s degradation and helps to eliminate the information asymmetry for diagnostics. In this paper, the symmetric experimental platform is set up to measure the dielectric loss tanδ and PD for oil-pressboard insulation following the designed testing procedure consisted of raised and rested voltages. Three sets of samples with different water content were tested. The variation mechanism of tanδ with voltage is explained by proposed equivalent circuit, which introduced an asymmetric component representing defect part. PDs are found to be symmetric in the sinusoidal voltage cycles and their statistical parameters are calculated. Besides, the correlation between dielectric loss difference from raised voltage to rested voltage and PD is researched. Strong correlation is observed between dielectric loss and PD, which offers degradation insight for oil-pressboard insulation and helps to eliminate information asymmetry for material status diagnostics.
An Auxetic System Based on Interconnected Y-Elements Inspired by Islamic Geometric Patterns
Authors: Lim Teik-Cheng
Published: May 2021

A 2D mechanical metamaterial exhibiting perfectly auxetic behavior, i.e., Poisson’s ratio of −1, is proposed in this paper drawing upon inspiration from an Islamic star formed by circumferential arrangement of eight squares, such as the one found at the exterior of the Ghiyathiyya Madrasa in Khargird, Iran (built 1438–1444 AD). Each unit of the metamaterial consists of eight pairs of pin-jointed Y-shaped rigid elements, whereby every pair of Y-elements is elastically restrained by a spiral spring. Upon intermediate stretching, each metamaterial unit resembles the north dome of Jameh Mosque, Iran (built 1087–1088 AD), until the attainment of the fully opened configuration, which resembles a structure in Agra, India, near the Taj Mahal. Both infinitesimal and finite deformation models of the effective Young’s modulus for the metamaterial structure were established using strain energy approach in terms of the spiral spring stiffness and geometrical parameters, with assumptions to preserve the eight-fold symmetricity of every metamaterial unit. Results indicate that the prescription of strain raises the effective Young’s modulus in an exponential manner until full extension is attained. This metamaterial is useful for applications where the overall shape of the structure must be conserved in spite of uniaxial application of load, and where deformation is permitted under limited range, which is quickly arrested as the deformation progresses.
Brain Size Associated with Foot Preferences in Australian Parrots
Authors: Kaplan Gisela , Rogers Lesley J.
Published: May 2021

Since foot preference of cockatoos and parrots to hold and manipulate food and other objects has been associated with better ability to perform certain tasks, we predicted that either strength or direction of foot preference would correlate with brain size. Our study of 25 psittacine species of Australia found that species with larger absolute brain mass have stronger foot preferences and that percent left-footedness is correlated positively with brain mass. In a sub-sample of 11 species, we found an association between foot preference and size of the nidopallial region of the telencephalon, an area equivalent to the mammalian cortex and including regions with executive function and other higher-level functions. Our analysis showed that percent left-foot use correlates positively and significantly with size of the nidopallium relative to the whole brain, but not with the relative size of the optic tecta. Psittacine species with stronger left-foot preferences have larger brains, with the nidopallium making up a greater proportion of those brains. Our results are the first to show an association between brain size and asymmetrical limb use by parrots and cockatoos. Our results support the hypothesis that limb preference enhances brain capacity and higher (nidopallial) functioning.
Mitochondrial Reprogramming—What Is the Benefit of Hypothermic Oxygenated Perfusion in Liver Transplantation?
Authors: Panconesi Rebecca , Flores Carvalho Mauricio , Mueller Matteo , Dutkowski Philipp , Muiesan Paolo , Schlegel Andrea
Published: May 2021

Although machine perfusion is a hot topic today, we are just at the beginning of understanding the underlying mechanisms of protection. Recently, the first randomized controlled trial reported a significant reduction of ischemic cholangiopathies after transplantation of livers donated after circulatory death, provided the grafts were treated with an endischemic hypothermic oxygenated perfusion (HOPE). This approach has been known for more than fifty years, and was initially mainly used to preserve kidneys before implantation. Today there is an increasing interest in this and other dynamic preservation technologies and various centers have tested different approaches in clinical trials and cohort studies. Based on this, there is a need for uniform perfusion settings (perfusion route and duration), and the development of general guidelines regarding the duration of cold storage in context of the overall donor risk is also required to better compare various trial results. This article will highlight how cold perfusion protects organs mechanistically, and target such technical challenges with the perfusion setting. Finally, the options for viability testing during hypothermic perfusion will be discussed.
Accidental Gauge Symmetries of Minkowski Spacetime in Teleparallel Theories
Authors: Beltrán Jiménez Jose , Koivisto Tomi S.
Published: May 2021

In this paper, we provide a general framework for the construction of the Einstein frame within non-linear extensions of the teleparallel equivalents of General Relativity. These include the metric teleparallel and the symmetric teleparallel, but also the general teleparallel theories. We write the actions in a form where we separate the Einstein–Hilbert term, the conformal mode due to the non-linear nature of the theories (which is analogous to the extra degree of freedom in f(R) theories), and the sector that manifestly shows the dynamics arising from the breaking of local symmetries. This frame is then used to study the theories around the Minkowski background, and we show how all the non-linear extensions share the same quadratic action around Minkowski. As a matter of fact, we find that the gauge symmetries that are lost by going to the non-linear generalisations of the teleparallel General Relativity equivalents arise as accidental symmetries in the linear theory around Minkowski. Remarkably, we also find that the conformal mode can be absorbed into a Weyl rescaling of the metric at this order and, consequently, it disappears from the linear spectrum so only the usual massless spin 2 perturbation propagates. These findings unify in a common framework the known fact that no additional modes propagate on Minkowski backgrounds, and we can trace it back to the existence of accidental gauge symmetries of such a background.
Landau Levels in a Gravitational Field: The Schwarzschild Spacetime Case
Authors: Landry Alexandre , Hammad Fayçal
Published: May 2021

We investigate the gravitational effect on Landau levels. We show that the familiar infinite Landau degeneracy of the energy levels of a quantum particle moving inside a uniform and constant magnetic field is removed by the interaction of the particle with a gravitational field. Two independent approaches are used to solve the relevant Schrödinger equation within the Newtonian approximation. It is found that both approaches yield qualitatively similar results within their respective approximations. With the goal of clarifying some results found in the literature concerning the use of a third independent approach for extracting the quantization condition based on a similar differential equation, we show that such an approach cannot yield a general and yet consistent result. We point out to the more accurate, but impractical, way to use such an approach; a way which does in principle yield a consistent quantization condition. We discuss how our results could be used to contribute in a novel way to the existing methods for testing gravity at the tabletop experiments level as well as at the astrophysical observational level by deriving the corrections brought by Yukawa-like and power-law deviations from the inverse-square law. The full relativistic regime is also examined in detail.
Herpes Simplex Virus Type 2 Mucin-Like Glycoprotein mgG Promotes Virus Release from the Surface of Infected Cells
Authors: Trybala Edward , Peerboom Nadia , Adamiak Beata , Krzyzowska Malgorzata , Liljeqvist Jan-Åke , Bally Marta , Bergström Tomas
Published: May 2021

The contribution of virus components to liberation of herpes simplex virus type 2 (HSV-2) progeny virions from the surface of infected cells is poorly understood. We report that the HSV-2 mutant deficient in the expression of a mucin-like membrane-associated glycoprotein G (mgG) exhibited defect in the release of progeny virions from infected cells manifested by ~2 orders of magnitude decreased amount of infectious virus in a culture medium as compared to native HSV-2. Electron microscopy revealed that the mgG deficient virions were produced in infected cells and present at the cell surface. These virions could be forcibly liberated to a nearly native HSV-2 level by the treatment of cells with glycosaminoglycan (GAG)-mimicking oligosaccharides. Comparative assessment of the interaction of mutant and native virions with surface-immobilized chondroitin sulfate GAG chains revealed that while the mutant virions associated with GAGs ~fourfold more extensively, the lateral mobility of bound virions was much poorer than that of native virions. These data indicate that the mgG of HSV-2 balances the virus interaction with GAG chains, a feature critical to prevent trapping of the progeny virions at the surface of infected cells.
Myeloid-Derived Suppressor Cells Restrain Natural Killer Cell Activity in Acute Coxsackievirus B3-Induced Myocarditis
Authors: Müller Irene , Janson Lisa , Sauter Martina , Pappritz Kathleen , Linthout Sophie Van , Tschöpe Carsten , Klingel Karin
Published: May 2021

Murine models of coxsackievirus B3 (CVB3)-induced myocarditis well represent the different outcomes of this inflammatory heart disease. Previously, we found that CVB3-infected A.BY/SnJ mice, susceptible for severe acute and chronic myocarditis, have lower natural killer (NK) cell levels than C57BL/6 mice, with mild acute myocarditis. There is evidence that myeloid-derived suppressor cells (MDSC) may inhibit NK cells, influencing the course of myocarditis. To investigate the MDSC/NK interrelationship in acute myocarditis, we used CVB3-infected A.BY/SnJ mice. Compared to non-infected mice, we found increased cell numbers of MDSC in the spleen and heart of CVB3-infected A.BY/SnJ mice. In parallel, S100A8 and S100A9 were increased in the heart, spleen, and especially in splenic MDSC cells compared to non-infected mice. In vitro experiments provided evidence that MDSC disrupt cytotoxic NK cell function upon co-culturing with MDSC. MDSC-specific depletion by an anti-Ly6G antibody led to a significant reduction in the virus load and injury in hearts of infected animals. The decreased cardiac damage in MDSC-depleted mice was associated with fewer Mac3+ macrophages and CD3+ T lymphocytes and a reduced cardiac expression of S100A8, S100A9, IL-1β, IL-6, and TNF-α. In conclusion, impairment of functional NK cells by MDSC promotes the development of chronic CVB3 myocarditis in A.BY/SnJ mice.
Mosquito-Associated Viruses and Their Related Mosquitoes in West Africa
Authors: Agboli Eric , Zahouli Julien B. Z. , Badolo Athanase , Jöst Hanna
Published: May 2021

Mosquito-associated viruses (MAVs), including mosquito-specific viruses (MSVs) and mosquito-borne (arbo)viruses (MBVs), are an increasing public, veterinary, and global health concern, and West Africa is projected to be the next front for arboviral diseases. As in-depth knowledge of the ecologies of both western African MAVs and related mosquitoes is still limited, we review available and comprehensive data on their diversity, abundance, and distribution. Data on MAVs’ occurrence and related mosquitoes were extracted from peer-reviewed publications. Data on MSVs, and mosquito and vertebrate host ranges are sparse. However, more data are available on MBVs (i.e., dengue, yellow fever, chikungunya, Zika, and Rift Valley fever viruses), detected in wild and domestic animals, and humans, with infections more concentrated in urban areas and areas affected by strong anthropogenic changes. Aedes aegypti, Culex quinquefasciatus, and Aedes albopictus are incriminated as key arbovirus vectors. These findings outline MAV, related mosquitoes, key knowledge gaps, and future research areas. Additionally, these data highlight the need to increase our understanding of MAVs and their impact on host mosquito ecology, to improve our knowledge of arbovirus transmission, and to develop specific strategies and capacities for arboviral disease surveillance, diagnostic, prevention, control, and outbreak responses in West Africa.
RETRACTED: PERK Is Critical for Alphavirus Nonstructural Protein Translation
Authors: Dahal Bibha , Lehman Caitlin , Akhrymuk Ivan , Bracci Nicole , Panny Lauren , Barrera Michael , Bhalla Nishank , Jacobs Jonathan , Dinman Jonathan , Kehn-Hall Kylene
Published: May 2021

Venezuelan equine encephalitis virus (VEEV) is an alphavirus that causes encephalitis. Previous work indicated that VEEV infection induced early growth response 1 (EGR1) expression, leading to cell death via the protein kinase R (PKR)-like endoplasmic reticulum kinase (PERK) arm of the unfolded protein response (UPR) pathway. Loss of PERK prevented EGR1 induction and decreased VEEV-induced death. The results presented within show that loss of PERK in human primary astrocytes dramatically reduced VEEV and eastern equine encephalitis virus (EEEV) infectious titers by 4–5 log10. Loss of PERK also suppressed VEEV replication in primary human pericytes and human umbilical vein endothelial cells, but it had no impact on VEEV replication in transformed U87MG and 293T cells. A significant reduction in VEEV RNA levels was observed as early as 3 h post-infection, but viral entry assays indicated that the loss of PERK minimally impacted VEEV entry. In contrast, the loss of PERK resulted in a dramatic reduction in viral nonstructural protein translation and negative-strand viral RNA production. The loss of PERK also reduced the production of Rift Valley fever virus and Zika virus infectious titers. These data indicate that PERK is an essential factor for the translation of alphavirus nonstructural proteins and impacts multiple RNA viruses, making it an exciting target for antiviral development.