bluuebunny/crossref_metadata_2025 huggingface dataset:
Variational Retrievals of High Winds Using Uncalibrated CyGNSS Observables
Authors: Cardellach Estel , Nan Yang , Li Weiqiang , Padullés Ramon , Ribó Serni , Rius Antonio
Published: November 2020

This study presents a new retrieval approach for obtaining wind speeds from CyGNSS level-1 observables. Unlike other existing approaches, (1) this one is a variational technique that is based on a physical forward model, (2) it uses uncalibrated bin raw counts observables, (3) the geophysical information content comes from only one pixel of the broader delay-Doppler map, finest achievable resolution in level-1 products over the sea, and (4) calibrates them against track-wise polynomial adjustments to a background numerical weather prediction model. Through comparisons with the background model, other spaceborne sensors (SMAP, SMOS, ASCAT-A/B), and CyGNSS wind retrievals by other organizations, the study shows that this approach has skills to infer wind speeds, including hurricane force winds. For example, the Pearson’s correlation coefficient between these CyGNSS retrievals and ERA5 is 0.884, 0.832 with NOAA CyGNSS results, and 0.831 with respect to SMAP co-located measurements. Furthermore, the variational retrieval algorithm is a simplified version of the more general equations that are used in data assimilation, and the calibration scheme could also be integrated in the assimilation process. Therefore, this approach is also a good tool for analyzing the potential performance of ingesting uncalibrated level-1 single-pixel observables into NWP.
A Robust Infrared Transducer of an Ultra-Large-Scale Array
Authors: Li Defang , Zhang Jinying , Shi Qingfeng , Yuan Xichen , Li Zhuo , Wang Xin , Yang Suhui , Hao Yan
Published: November 2020

A robust micro-electro-mechanical systems (MEMS) infrared thin film transducer of an ultra-large-scale array was proposed and fabricated on a 4-inch silicon wafer. The silicon substrate and micro cavities were introduced. This novel transducer had excellent mechanical stability, time response, and state-of-the-art pixel scale. It could bear a load of 1700 g and its load pressure was improved by more than 5.24 times and time constant decreased by 50.7% compared to the traditional soft infrared thin film transducer. The array scale of its pixels exceeded 2k × 2k. The simulation and measured results of the transient temperature and radiation intensity were well consistent. Illuminated by a 532 nm laser with a frequency of 50 Hz and 50% duty cycle, the thermal decay time of the proposed transducer was 6.0 ms. A knife-edge image was utilized for spatial resolution test and the full width at half maximum (FWHM) of the proposed transducer was 24% smaller than the traditional soft one. High-resolution infrared images were generated using the proposed robust transducer. These results proved that the robust transducer was promising in infrared image generation.
Multiplexed Passive Optical Fiber Sensor Networks for Water Level Monitoring: A Review
Authors: Lee Hoon-Keun , Choo Jaeyul , Kim Joonyoung
Published: November 2020

Water management is a critical mission required to protect the water resources that is essential in diverse industrial applications. Amongst a variety of parameters such as level (or depth), temperature, conductivity, turbidity, and pH, the water level is the most fundamental one that needs to be monitored on a real-time basis for securing the water management system. This paper presents an overview of water level monitoring technologies based on optical fiber sensor (OFS) networks. Firstly, we introduce and compare the passive distributed and quasi-distributed (discrete) sensor networks with the recent achievements summarized. The performance (i.e., sensing range and resolution) of the OFS networks can be enhanced through diverse multiplexing techniques based on wavelength, time, coherence, space, etc. Especially, the dense wavelength division multiplexing (DWDM)-based sensor network provides remote sensing (where its reach can be extended to >40 km) with high scalability in terms of the channel number that determines the spatial resolution. We review the operation principle and characteristics of the DWDM-based OFS network with full theoretical and experimental analysis being provided. Furthermore, the key system functions and considerations (such as the link protection from physical damages, self-referencing, management of sensing units, and so on) are discussed that could be a guideline on the design process of the passive OFS network.
Glow-in-the-Dark Patterned PET Nonwoven Using Air-Atmospheric Plasma Treatment and Vitamin B2-Derivative (FMN)
Authors: Iyer Sweta Narayanan , Behary Nemeshwaree , Nierstrasz Vincent , Guan Jinping
Published: November 2020

Flavin mononucleotide (FMN) derived from Vitamin B2, a bio-based fluorescent water-soluble molecule with visible yellow-green fluorescence, has been used in the scope of producing photoluminescent and glow-in-the-dark patterned polyester (PET) nonwoven panels. Since the FMN molecule cannot diffuse inside the PET fiber, screen printing, coating, and padding methods were used in an attempt to immobilize FMN molecules at the PET fiber surface of a nonwoven, using various biopolymers such as gelatin and sodium alginate as well as a water-based commercial polyacrylate. In parallel, air atmospheric plasma activation of PET nonwoven was carried for improved spreading and adhesion of FMN bearing biopolymer/polymer mixture. Effectively, the plasma treatment yielded a more hydrophilic PET nonwoven, reduction in wettability, and surface roughness of the plasma treated fiber with reduced water contact angle and increased capillary uptake were observed. The standard techniques of morphological properties were explored by a scanning electron microscope (SEM) and atomic force microscopy (AFM). Films combining each biopolymer and FMN were formed on PS (polystyrene) Petri-dishes. However, only the gelatin and polyacrylate allowed the yellow-green fluorescence of FMN molecule to be maintained on the film and PET fabric (seen under ultraviolet (UV) light). No yellow-green fluorescence of FMN was observed with sodium alginate. Thus, when the plasma-activated PET was coated with the gelatin mixture or polyacrylate bearing FMN, the intense photoluminescent yellow-green glowing polyester nonwoven panel was obtained in the presence of UV light (370 nm). Screen printing of FMN using a gelatin mixture was possible. The biopolymer exhibited appropriate viscosity and rheological behavior, thus creating a glow-in-the-dark pattern on the polyester nonwoven, with the possibility of one expression in daylight and another in darkness (in presence of UV light). A bio-based natural product such as FMN is potentially an interesting photoluminescent molecule with which textile surface pattern designers may create light-emitting textiles and interesting aesthetic expressions.
Insights in the Application of Stoichiometric and Non-Stoichiometric Titanium Oxides for the Design of Sensors for the Determination of Gases and VOCs (TiO2−x and TinO2n−1 vs. TiO2)
Authors: Ramanavicius Simonas , Ramanavicius Arunas
Published: November 2020

In this review article, attention is paid towards the formation of various nanostructured stoichiometric titanium dioxide (TiO2), non-stoichiometric titanium oxide (TiO2−x) and Magnéli phase (TinO2n−1)-based layers, which are suitable for the application in gas and volatile organic compound (VOC) sensors. Some aspects related to variation of sensitivity and selectivity of titanium oxide-based sensors are critically overviewed and discussed. The most promising titanium oxide-based hetero- and nano-structures are outlined. Recent research and many recently available reviews on TiO2-based sensors and some TiO2 synthesis methods are discussed. Some promising directions for the development of TiO2-based sensors, especially those that are capable to operate at relatively low temperatures, are outlined. The applicability of non-stoichiometric titanium oxides in the development of gas and VOC sensors is foreseen and transitions between various titanium oxide states are discussed. The presence of non-stoichiometric titanium oxide and Magnéli phase (TinO2n−1)-based layers in ‘self-heating’ sensors is predicted, and the advantages and limitations of ‘self-heating’ gas and VOC sensors, based on TiO2 and TiO2−x/TiO2 heterostructures, are discussed.
Low Power Wide Area Network, Cognitive Radio and the Internet of Things: Potentials for Integration
Authors: Onumanyi Adeiza J. , Abu-Mahfouz Adnan M. , Hancke Gerhard P.
Published: November 2020

The Internet of Things (IoT) is an emerging paradigm that enables many beneficial and prospective application areas, such as smart metering, smart homes, smart industries, and smart city architectures, to name but a few. These application areas typically comprise end nodes and gateways that are often interconnected by low power wide area network (LPWAN) technologies, which provide low power consumption rates to elongate the battery lifetimes of end nodes, low IoT device development/purchasing costs, long transmission range, and increased scalability, albeit at low data rates. However, most LPWAN technologies are often confronted with a number of physical (PHY) layer challenges, including increased interference, spectral inefficiency, and/or low data rates for which cognitive radio (CR), being a predominantly PHY layer solution, suffices as a potential solution. Consequently, in this article, we survey the potentials of integrating CR in LPWAN for IoT-based applications. First, we present and discuss a detailed list of different state-of-the-art LPWAN technologies; we summarize the most recent LPWAN standardization bodies, alliances, and consortia while emphasizing their disposition towards the integration of CR in LPWAN. We then highlight the concept of CR in LPWAN via a PHY-layer front-end model and discuss the benefits of CR-LPWAN for IoT applications. A number of research challenges and future directions are also presented. This article aims to provide a unique and holistic overview of CR in LPWAN with the intention of emphasizing its potential benefits.
An Eddy Current-Based Structural Health Monitoring Technique for Tracking Bolt Cracking
Authors: Sun Hu , Wang Tao , Lin Dawei , Wang Yishou , Qing Xinlin
Published: November 2020

Bolted joints are the primary structures for the load transfer of large-scale structures. It is vital to monitor the process of bolt cracking for enduring structural safety. In this paper, a structural health monitoring technique based on the embedding eddy current sensing film has been proposed to quantify the crack parameters of bolt cracking. Two configurations of the sensing film containing one-dimensional circumferential coil array and two-dimensional coil array are designed and verified to have the ability to identify three crack parameters: the crack angle, the crack depth, and the crack location in the axial direction of the bolt. The finite element method has been employed not only to verify the capacity of the sensing film, but also to investigate the interaction between the crack and the eddy current/magnetic field. It has been demonstrated that as the crack propagates, the variations of the induced voltage of the sensing coils are influenced by both eddy current effect and magnetic flux leakage, which play different roles in the different periods of the crack propagation. Experiments have been performed to verify the effectiveness and feasibility of the sensing film to quantify three crack parameters in the process of the bolt cracking.
A Machine Learning Approach to Model Interdependencies between Dynamic Response and Crack Propagation
Authors: Fleet Thomas , Kamei Khangamlung , He Feiyang , Khan Muhammad A. , Khan Kamran A. , Starr Andrew
Published: November 2020

Accurate damage detection in engineering structures is a critical part of structural health monitoring. A variety of non-destructive inspection methods has been employed to detect the presence and severity of the damage. In this research, machine learning (ML) algorithms are used to assess the dynamic response of the system. It can predict the damage severity, damage location, and fundamental behaviour of the system. Fatigue damage data of aluminium and ABS under coupled mechanical loads at different temperatures are used to train the model. The model shows that natural frequency and temperature appear to be the most important predictive features for aluminium. It appears to be dominated by natural frequency and tip amplitude for ABS. The results also show that the position of the crack along the specimen appears to be of little importance for either material, allowing simultaneous prediction of location and damage severity.
Portable Biosensors for Psychophysiological Stress Monitoring of a Helicopter Crew
Authors: Vicente-Rodríguez Marta , Iglesias Gallego Damián , Fuentes-García Juan Pedro , Clemente-Suárez Vicente Javier
Published: November 2020

This study aims to analyze the psychophysiological stress response of a helicopter crew using portable biosensors, and to analyze the psychophysiological stress response differences of experienced and non-experienced crew members. We analyzed 27 participants (33.89 ± 5.93 years) divided into two different flight maneuvers: a crane rescue maneuver: 15 participants (three control and 12 military) and a low-altitude maneuver: 12 participants (five control and seven military). Anxiety, rating of perceived exertion, subjective perception of stress, heart rate, blood oxygen saturation, skin temperature, blood lactate, cortical arousal, autonomic modulation, leg and hand strength, leg flexibility, spirometry, urine, and short-term memory were analyzed before and after both helicopter flight maneuvers. The maneuvers produced a significant increase in stress and effort perception, state of anxiety, and sympathetic modulation, as well as a significant decrease in heart rate, blood oxygen saturation, leg and inspiratory muscle strength, and urine proteins. The use of biosensors showed how a crane rescue and low-altitude helicopter maneuvers produced an anticipatory anxiety response, showing an increased sympathetic autonomic modulation prior to the maneuvers, which was maintained during the maneuvers in both experienced and non-experienced participants. The crane rescue maneuver produced a higher maximal heart rate and decreased pulmonary capacity and strength than the low-altitude maneuver. The psychophysiological stress response was higher in the experienced than in non-experienced participants, but both presented an anticipatory stress response before the maneuver.
Output-Only Damage Detection in Plate-Like Structures Based on Proportional Strain Flexibility Matrix
Authors: Yun Kang , Liu Mingyao , Lv Jiangtao , Wang Jingliang , Li Zhao , Song Han
Published: November 2020

For engineering structures, strain flexibility-based approaches have been widely used for structural health monitoring purposes with prominent advantages. However, the applicability and robustness of the method need to be further improved. In this paper, a novel damage index based on differences in uniform load strain field (ULSF) is developed for plate-like structures. When estimating ULSF, the strain flexibility matrix (SFM) based on mass-normalized strain mode shapes (SMSs) is needed. However, the mass-normalized strain mode shapes (SMSs) are complicated and difficult to obtain when the input, i.e., the excitation, is unknown. To address this issue, the proportional strain flexibility matrix (PSFM) and its simplified construction procedure are proposed and integrated into the frames of ULSF, which can be easily obtained when the input is unknown. The identification accuracy of the method under the damage with different locations and degrees is validated by the numerical examples and experimental examples. Both the numerical and experimental results demonstrate that the proposed method provides a reliable tool for output-only damage detection of plate-like structures without estimating the mass-normalized strain mode shapes (SMSs).
Heat-Mitigation Strategies to Improve Pedestrian Thermal Comfort in Urban Environments: A Review
Authors: Nasrollahi Nazanin , Ghosouri Amir , Khodakarami Jamal , Taleghani Mohammad
Published: November 2020

Thermal comfort is one of the main factors affecting pedestrian health, and improving thermal comfort enhances walkability. In this paper, the impact of various strategies on thermal-comfort improvement for pedestrians is thoroughly evaluated and compared. Review studies cover both fieldwork and simulation results. These strategies consist of shading (trees, buildings), the orientation and geometry of urban forms, vegetation, solar-reflective materials, and water bodies, which were investigated as the most effective ways to improve outdoor thermal comfort. Results showed that the most important climatic factors affecting outdoor thermal comfort are mean radiant temperature, wind speed, and wind direction in a microclimate. The best heat-mitigation strategy for improving thermal comfort was found to be vegetation and specifically trees because of their shading effect. The effect of height-to-width (H/W) ratio in canyons is another important factor. By increasing H/W ratio, the thermal-comfort level also increases. Deploying highly reflective materials in urban canyons is not recommended, as several studies showed that they could reflect solar radiation onto pedestrians. Results also showed that, in order to achieve a satisfactory level of thermal comfort, physiological and psychological factors should be considered together.
Predicting the Impact of Climate Change on Freshwater Fish Distribution by Incorporating Water Flow Rate and Quality Variables
Authors: Kim Zhonghyun , Shim Taeyong , Koo Young-Min , Seo Dongil , Kim Young-Oh , Hwang Soon-Jin , Jung Jinho
Published: November 2020

In this study, water flow rate and quality variables that restrict freshwater fish distribution were incorporated in species distribution modeling to evaluate the impacts of climate change. A maximum entropy model (MaxEnt) was used to predict the distribution of 76 fish species in the present (2012–2014) and in the future (2025–2035 and 2045–2055) based on representative concentration pathway (RCP) 4.5 and RCP 8.5 scenarios for five major river basins (Han, Nakdong, Geum, Seomjin, and Yeongsan) in South Korea. The accuracy of MaxEnt performance was improved from 0.905 to 0.933, and from 0.843 to 0.864 in the model training and test, respectively, by introducing flow rate, total nitrogen, total phosphorus (TP), and total suspended solids (TSS). TSS and TP were ranked as the second and fourth contributing parameters, respectively, among the 17 variables considered in this study. There was a greater decline in species richness index under scenario RCP 8.5 than under scenario RCP 4.5, and in 2050 compared with 2030. However, the tolerance guild index (TGI) was predicted to improve in the future. The increase in TGI coupled with the decrease in species richness index (SRI), indicated that climate change is likely to have adverse effects on freshwater fish. Notably, the habitat of Korean spotted barbel (Hemibarbus mylodon), an endemic species of South Korea, is expected to contract largely in 2050 based on the RCP 8.5 scenario. These findings demonstrate that the incorporation of flow rate and water quality parameters into climatic variables can improve the prediction of freshwater fish distribution under climate change.
Trends and Future Directions in Crop Energy Analyses: A Focus on Iran
Authors: Banaeian Narges , Zangeneh Morteza , Clark Sean
Published: November 2020

This systematic review critically analyzes the literature on the study of energy-use patterns in agricultural crop systems in Iran. We examine the relevant methodologies and research trends from 2008 to 2019, a particularly active and productive period. Initially, we find researchers using energy audits and regression modeling to estimate energy-use patterns. Then economic and environmental-emissions audits are more commonly incorporated into analyses. Finally, the application of different Artificial Intelligence (AI) methods are observed in papers. The main focus of this study is on energy-use patterns, economic modelling, and environmental emissions. We then address critical issues, including sample size, energy equivalents, and additional practical energy-saving recommendations which can be considered by researchers in future analyses. The application of AI in the analysis of agricultural systems, and how it can be used to achieve sustainable agriculture, is discussed with the aim of providing guidelines for researchers interested in energy flow in agricultural systems, especially in Iran. To achieve sustainable agriculture systems, we recommend more attention be given toward considering the impact of social factors in addition to energy, environmental and economic factors. Finally, this review should guide other researchers in choosing appropriate crop types and regions in need study to avoid repetitive studies.
Sustainability Assessment: Does the OECD/G20 Inclusive Framework for BEPS (Base Erosion and Profit Shifting Project) Put an End to Disputes Over The Recognition and Measurement of Intellectual Capital?
Authors: Popescu Cristina Raluca Gh.
Published: November 2020

Nowadays, sustainability assessment procedures, sustainability assessment indicators, and sustainability assessment models are regarded by specialists as powerful decision-supporting tools able to foster sustainable development worldwide by addressing the main economic, financial, social, and environmental challenges. In like manner, the role and relevance of intangible assets have managed to produce an irreversible change in today’s world which also seriously affected the general traits of our economic systems, leading to a phenomenon known by specialists as the “revolution of intangibles”. Over the last decades, the controversies regarding the recognition and measurement of intellectual capital (IC) have led, on the one hand, to the development of possible solutions and systems for calculating and disclosing the performance generated or stimulated by various components of IC, but, on the other hand, they have also been the main premise that favored the use of intangible assets, in general, and intellectual property (IP), in particular, the transfer of results and the reduction of the tax base by transferring income to tax havens or jurisdictions that do not tax these categories of assets. Against these aggressive methods of fiscal planning, the countries reacted unitarily and coordinated through the BEPS (Base Erosion and Profit Shifting Project) plan. Based on the country’s profile as well as on the results of the annual evaluations published by the OECD (Organisation for Economic Co-operation and Development), our study verifies whether there are premises for IP use for income transfer into favorable jurisdictions and whether the measures and solutions proposed by Action 5 of the BEPS end disputes over the recognition and evaluation of IC. In addition, our work presents a novel methodological framework for sustainability assessment, which focuses on establishing important connections between the recognition and measurement of intellectual capital, the role of sustainability assessment tools, and the implications of corporate social responsibility, since, these days, the real “values” associated with a country or business profile may be found in the intangible assets they possess.
Traditional Foods at the Click of a Button: The Preference for the Online Purchase of Romanian Traditional Foods during the COVID-19 Pandemic
Authors: Petrescu-Mag Ruxandra Malina , Vermeir Iris , Petrescu Dacinia Crina , Crista Florin Laurentiu , Banatean-Dunea Ioan
Published: November 2020

The 2020 quarantine demonstrated that online food purchase has become one of the main protagonists of the pandemic. The present study valued the Internet as a mediator between producers and consumers with the power to create new demand for Romanian traditional food during the COVID-19 crisis. Authors aimed at carrying out an exploratory research about the online purchase of traditional foods (TFs). Within this context, the study, firstly, outlines the meaning of traditional foods in the Romanian consumers’ minds and, secondly, it identifies the variables that can predict the preference for the online purchase of TFs during the COVID-19 pandemic. An online survey was carried out to investigate the Romanian consumers’ perceptions (n = 223) of TFs and online purchase of TFs during the COVID-19 pandemic. Binary logistic regression tested the relationship between the preference for the online purchase of TFS (vs. in-store) and seven perceived characteristics of TFs. Results show that the preference for the online purchase of TFs during the COVID-19 pandemic can be predicted by five variables—“TFs taste”; “Effect of TFs consumption on health during the COVID-19 pandemic”; “Effect of online TFs purchase on health during the COVID-19 pandemic”; “How cheap/expensive is to buy TFS online during the COVID-19 pandemic”; and “Easiness to purchase TFS online during the COVID-19 pandemic”. It was concluded that TFs have to claim their place within this digitized landscape by finding the balance between old and new, between preferences for foods taste passed through generations and new life lifestyles at 5G speed.
Is Classroom Gamification Opposed to Performance?
Authors: Hernández-Fernández Antoni , Olmedo-Torre Noelia , Peña Marta
Published: November 2020

Learning through digital media is currently considered as a mixture of methodologies that aim to approach the reality of students to motivate them. Gamification emerges as one of the pedagogical methodologies on the rise in digital classrooms, but is it really practical? What are its effects? A gamification longitudinal case-study experience was carried out in the subject: complements for disciplinary training in technology of the master’s degree of secondary school teachers (technology specialty) that is taught at the Universitat Politècnica de Catalunya, where gamified activities and alternatives to traditional master teaching have been introduced in a progressive way throughout three academic years (2016/17 to 2018/19). The results show that there is a negative correlation between the numerical scores of the different components of the evaluation and the marks obtained in the activities of gamification. It is surprising that the group less involved in the gamification obtained better academic results, although gamification improved the motivation and the valuations of the subject, due to the inclusion of more games in the course. This raises doubts on whether the positive effects of gamification on the climate of the classroom and on motivation are opposed to academic results.
The Digital Exclusion of Vulnerable Children: Challenge for Sustainability Issues in Czech Social Work Practice
Authors: Kalenda Soňa , Kowaliková Ivana
Published: November 2020

The aims of this study are (1) to draw attention to the digital exclusion of vulnerable children as a systemic (socio-ecological) problem that is gaining momentum during emergencies; (2) to reflect the subjectively perceived readiness of social workers as one of the actors in the system, whose task is to contribute to the mitigation of risks arising from digital exclusion of the target group and to ensure the sustainability development of society; (3) from the position of the target group, to reflect the situation of their digital literacy and thus exclusion; and (4) to make recommendations to public policy makers and social workers to mitigate these risks and to promote sustainability. We draw on the socio-ecological model of social work which views a person in the context of their environment. The aim of the research was to analyze the use of information and communication technologies (ICTs) in social work with vulnerable children and their families and to detect system deficits contributing to digital exclusion. Based on a questionnaire survey (N = 105), interviews with representatives of the target group (N = 20), and expert interviews (N = 4), both the main shortcomings in the digital skills of employees and the needs of the target group were identified and systemic measures were proposed.
Recyclability Potential of Induction-Healable Porous Asphalt Mixtures
Authors: Lastra-González Pedro , Indacoechea-Vega Irune , Calzada-Pérez Miguel A. , Castro-Fresno Daniel
Published: November 2020

The potential recyclability of healable asphalt mixtures has been analyzed in this paper. A healable porous asphalt mixture with steel wool fibers was artificially aged in order to assess its recyclability. This mixture was used as reclaimed asphalt in a new porous asphalt mixture, whose mechanical and healing capacities were studied and compared with the behavior of the original porous asphalt mixture. The quantity of reclaimed asphalt mixture added was 40%; besides, in order to recover the properties of the aged binder, and incorporate the last advances in the recyclability of bituminous mixtures, a rejuvenator was also added (SYLVAROAD™ RP1000). The voids test, Cantabro particle loss test, water sensitivity test, stiffness test, and fatigue resistance test were performed to mechanically study the experimental mixture, while the last one (fatigue resistance test) was also used to assess its healing capacity. The results have shown that the healing capacity of the original healable porous asphalt mixture is maintained with similar mechanical performance.
Subcentres as Destinations: Job Decentralization, Polycentricity, and the Sustainability of Commuting Patterns in Canadian Metropolitan Areas, 1996–2016
Authors: Duquet Benjamin , Brunelle Cédric
Published: November 2020

Adopting more sustainable modes of transportation and shorter daily commutes remains a fundamental challenge in the struggle for the sustainable transition of cities. While past studies on the sustainability of commuting behaviours partly focused on the place of residence and how the characteristics of commuters or residential neighbourhoods impact sustainable travel, other studies looked at the place of employment to analyze these dynamics. In this study, we investigate the extent to which the recent phase of the rise of peripheral employment has promoted more sustainable travel behaviour, based on the hypothesis that polycentricity has recently favoured a better job–housing balance and co-location. We develop a general typology of employment centres, using Census microdata at fine spatial scale over the 1996–2016 period to observe commuting modes and distances by subcentre types for six major Canadian cities. Our results show that despite recent developments in planning practices—transit-oriented development, transport infrastructure, and changing travel behaviour, the emergence of peripheral subcentres promoted less sustainable commuting patterns in most Canadian metropolitan areas over the period. However, we find sustainable commuting emerging in subcentres where large public transport infrastructure investments have been made, such as in the case of Vancouver’s Millennium and Canada lines. Our study also shows that central business districts (CBDs) and downtown subcentres are becoming relatively more sustainable over the period, which confirms the positive effect of the back-to-the-city movement and changing behaviour toward active transportation in these locations.
Relationship between Panic Buying and Per Capita Income during COVID-19
Authors: Yoshizaki Hugo T. Y. , de Brito Junior Irineu , Hino Celso Mitsuo , Aguiar Larrisa Limongi , Pinheiro Maria Clara Rodrigues
Published: November 2020

Panic buying and hoarding express common human behavior in times of crisis. Early in COVID-19, as the pandemic crisis intensified, toilet paper was one of the emblematic cases of panic buying. Using a Geographic Information System (GIS) to cross official per capita income data and real toilet paper transactions obtained from groceries spread around the city of São Paulo (Brazil), this study compares sales levels during the period in which panic purchases took place to the sales levels off that period. As expected, that data disclose noticeable panic buying. Regression analysis reveals that there is a significant positive correlation between average income per capita and panic buying. The results also indicate that panic buying happens in every income class, including low-income ones and contribute to enhancing the understanding of demand behavior during periods of crisis.
Sustainable Production, Non-Tariff Measures, and Trade Performance in RCEP Countries
Authors: Zainuddin Muhamad Rias K. V. , Sarmidi Tamat , Khalid Norlin
Published: November 2020

The main objective of this paper is to reinvestigate the impacts of non-tariff measures (NTMs) on bilateral exports among Regional Comprehensive Economic Partnership (RCEP) countries. The study adds to the literature in two areas. First, we calculate coverage ratios for NTMs related to specific sustainable development goals (SDGs) imposed on bilateral trade between RCEP member countries. Second, to avoid aggregation bias, the analysis covers four major sectors, namely agrifood, health, logistics, and other manufacturing. The results of a Poisson pseudo maximum likelihood (PPML) regression in a gravity model, using average import data from 2016 to 2018 at the Harmonized Commodity Description and Coding Systems (HS) two-digit level (97 subsectors), show that the effects of SDG-related NTMs vary by sector. NTMs related to SDG 3 (good health and well-being) distort trade in health but enhance trade in logistics. NTMs related to SDG 12 (responsible consumption and production) have a negative impact on logistics but a positive impact on other manufacturing exports. The findings provide new perspectives on the varying impacts of SDG-related NTMs on trade. Interestingly, the study finds that NTMs addressing SDGs 3 and 12 have positive trade impacts. Policymakers should, however, regulate NTM implementation, to minimize negative impacts and ensure that domestic firms comply to promote sustainable production.
Communicating the Risks and Benefits of Human Urine-Derived Fertilizer
Authors: Segrè Cohen Alex , Love Nancy G. , Árvai Joseph
Published: November 2020

Ensuring long-term access to nutrients needed for food production is a growing global challenge. Human urine diversion and recycling is a viable and energy-efficient means of recovering nitrogen, phosphorus, and potassium from wastewater. Before implementation, however, it is critical to understand how communicating differently about human urine-derived fertilizer may influence its public acceptance. This study tests how different strategies of communication (video compared to texts), as well as different amounts of information, impact public acceptance. We also explored how specific characteristics, such as age and education level, may impact the usefulness of the different strategies of communication. The results indicate that short and long videos are the most useful risk communication strategies, and age fully moderates this relationship. This research may serve as a jumping off point for future studies focused on how risk communication strategies may affect consumer acceptance of other emerging food technologies.
Possibilities of BIM-FM for the Management of COVID in Public Buildings
Authors: Pavón Rubén Muñoz , Arcos Alvarez Antonio A. , Alberti Marcos G.
Published: November 2020

The COVID-19 pandemic, with more than 49.7 million reported cases and over 1.2 million deaths globally confirmed deaths at the time of writing, demands global action to counteract this virus. It is widely accepted that COVID-19 is a long-term pandemic that will require a constant and innovative range of mitigation approaches to protect public health. This paper provides infrastructure facility management (FM) systems based on Building Information Modeling (BIM) to reduce the likelihood of COVID-19 infections indoors. Although there are several factors for dealing with COVID-19, the sole focus of this project is to reduce crowding and facilitate social distancing between occupants. The significance of this research relies on the use of mathematical methods, BIM, programming as well as FM tools and databases to achieve safer management of large and populated public buildings during the COVID-19 pandemic. The infrastructure management example refers to the Civil Engineering School at the Universidad Politécnica de Madrid. It is based on mathematical applications to find the paths of people paths inside the infrastructure and is synchronized with in-house developed software and the Internet domain as source and input data.
Microalgae Cultivation Technologies as an Opportunity for Bioenergetic System Development—Advantages and Limitations
Authors: Dębowski Marcin , Zieliński Marcin , Kazimierowicz Joanna , Kujawska Natalia , Talbierz Szymon
Published: November 2020

Microalgal biomass is currently considered as a sustainable and renewable feedstock for biofuel production (biohydrogen, biomethane, biodiesel) characterized by lower emissions of hazardous air pollutants than fossil fuels. Photobioreactors for microalgae growth can be exploited using many industrial and domestic wastes. It allows locating the commercial microalgal systems in areas that cannot be employed for agricultural purposes, i.e., near heating or wastewater treatment plants and other industrial facilities producing carbon dioxide and organic and nutrient compounds. Despite their high potential, the large-scale algal biomass production technologies are not popular because the systems for biomass production, separation, drainage, and conversion into energy carriers are difficult to explicitly assess and balance, considering the ecological and economical concerns. Most of the studies presented in the literature have been carried out on a small, laboratory scale. This significantly limits the possibility of obtaining reliable data for a comprehensive assessment of the efficiency of such solutions. Therefore, there is a need to verify the results in pilot-scale and the full technical-scale studies. This study summarizes the strengths and weaknesses of microalgal biomass production technologies for bioenergetic applications.
Assessment of Rain Garden Effects for the Management of Urban Storm Runoff in Japan
Authors: Zhang Linying , Ye Zehao , Shibata Shozo
Published: November 2020

Storm runoff is a growing concern against a background of increasing urban densification, land-use adaptation and climate change. In this study, a storm water management model was used to analyze the hydrological and water-quality effects of rain gardens (also known as bioretention cells) as nonpoint source control solutions in low-impact development (LID) practices for an urban catchment in the Nakagyo Ward area of Kyoto in Japan. The results of simulations with input involving Chicago hyetographs derived for different rainfall return periods (referred to as 3 a, 5 a, 10 a, 30 a, 50 a and 100 a) indicated the effectiveness of this arrangement, in particular for rainstorm 3 a, which exhibited the maximum contaminant reduction ratio (Total Suspended Solids (TSS) 15.50%, Chemical Oxygen Demand (COD) 16.17%, Total Nitrogen (TN) 17.34%, Total Phosphorus (TP) 19.07%) and a total runoff reduction volume of 46.56 × 106 L. With 5 a, the maximum number of flooding nodes was reduced to 87, demonstrating that rain gardens handle rainfall effectively over a five-year return period. There was a one-minute delay for 100 a, which again indicates that rain gardens support control of urban runoff and mitigate flooding. Such gardens were associated with reduced stormwater hazards and enhanced resistance to short-term rainstorms at the research site, and should be considered for urban planning in Kyoto and other cities all over the world.
The Impact of SARS-CoV-2 Outbreak on the Accommodation Selection of Azorean Tourists. A Study Based on the Assessment of the Azores Population’s Attitudes
Authors: Castanho Rui Alexandre , Couto Gualter , Pimentel Pedro , Sousa Áurea , Carvalho Célia , Batista Maria da Graça
Published: November 2020

Tourists’ intentions show many changing dynamics, both in terms of destination and accommodation selection. These changes in dynamics are seasonal and significantly affected by trends. Therefore, after an infectious disease outbreak, as is the case with COVID-19 caused by a new coronavirus called SARS-CoV-2, these dynamics change on an entirely different level and are so far unknown. Contextual research was conducted to define and analyze the impacts of SARS-CoV-2 on Azores residents’ tourism accommodations plans in 2020 by examining their intentions. The most frequent choice was to spend 2020 vacations at the vacation residences of family or friends (24.3%), followed by approximately 20% who chose three- to four-star hotels. A considerable increase in rural tourism accommodation selection intentions was noticed, obtaining the third position with 13.7%, followed by local accommodation (guest house) with 12.1% of the selection intentions. The study concludes that there are massive consequences of the SARS-CoV-2 crisis at the level of holiday choices and social isolation concerns for this ultra-peripheral territory.
Digital Identity Management on Social Media: Exploring the Factors That Influence Personal Information Disclosure on Social Media
Authors: Adjei Joseph Kwame , Adams Samuel , Mensah Isaac Kofi , Tobbin Peter Ebo , Odei-Appiah Solomon
Published: November 2020

A number of social media platforms have emerged as dominant medium for societal discourse, enabling significant user involvement in creation and shaping of social media contents. However, the phenomenon raises the challenge of digital identity management on such platforms in order to maintain reputations and ensure information privacy preservation. This study examined the factors that influence users’ decision to disclose personal information on Social Media and their antecedents. We employed a mixed-methods approach based on analysis of data of 250 respondents from tertiary institutions in Ghana, and 8 focus group discussions comprising 86 participants. The results revealed a lack of user awareness and appreciation of the limitations of the privacy settings on social media platforms. Secondly, we observed that users’ ability to establish the legitimacy of parties to social media interactions are fundamental requirements in how individuals engage social media. Finally, there is a disparity between information privacy concerns and actual privacy practices of users on social media.
The Flip Teaching as Tool to Improving Students’ Sustainable Learning Performance in a Financial Course
Authors: Bachiller Patricia , Badía Guillermo
Published: November 2020

Flip teaching (FT) is a methodology with a significant impact on the educational innovation trend that encourages active learning and facilitates the learning of students. The main objective of this study is to measure the impact of flip teaching on the learning of a course at a higher education institution. To analyze the differences in the exam marks between students that follow FT and other methodologies, the t-statistic and Mann–Whitney U test have been used. Results indicate that FT allows improving the performance of students and achieving collateral capacities, such as responsibility and awareness, making learning more sustainable. This study makes an interesting contribution to existing research in education and demonstrates that it is possible to introduce FT in a block of the course and can be transferable to other courses.
A Family of Derivative Free Optimal Fourth Order Methods for Computing Multiple Roots
Authors: Kumar Sunil , Kumar Deepak , Sharma Janak Raj , Jäntschi Lorentz
Published: November 2020

Many optimal order multiple root techniques, which use derivatives in the algorithm, have been proposed in literature. But contrarily, derivative free optimal order techniques for multiple root are almost nonexistent. By this as an inspirational factor, here we present a family of optimal fourth order derivative-free techniques for computing multiple roots of nonlinear equations. At the beginning the convergence analysis is executed for particular values of multiplicity afterwards it concludes in general form. Behl et. al derivative-free method is seen as special case of the family. Moreover, the applicability and comparison is demonstrated on different nonlinear problems that certifies the efficient convergent nature of the new methods. Finally, we conclude that our new methods consume the lowest CPU time as compared to the existing ones. This illuminates the theoretical outcomes to a great extent of this study.
Design and Analysis of Inertial Platform Insulation of the ELI-NP Project of Laser and Gamma Beam Systems
Authors: Itu Calin , Bratu Polidor , Borza Paul Nicolae , Vlase Sorin , Lixandroiu Dorin
Published: November 2020

All the installations, devices, and annexes within the laser and the gamma ray production system within the ELI-NP project from Magurele are installed on an inertial platform that weighs over 54,000 tons. The platform is made of concrete, is insulated from the outside environment, and is supported by spring batteries and shock absorbers. The flatness of this platform respects some very strict standards, and, taking into account the processes that take place on the platform, the transmission of the different trepidations of the environment to the inertial mass must be extremely low. For this reason, a static study and a vibration analysis of the platform, performed in this paper, are required. The static analysis verifies if the flatness of the platform can be observed in operating conditions, and the dynamic analysis verifies how excitations coming from the external environment can be transmitted to the measuring equipment. The finite element method is used both to determine the deformability of the concrete platform for different loads, placed at different points and to determine its eigenvalues and its eigenmodes of vibration. The obtained results are analyzed and constructive solutions are proposed to improve the realized system, through a judicious placement of the installations and the distribution of the masses on the platform.
Exotic Snakebites Reported to Pennsylvania Poison Control Centers: Lessons Learned on the Demographics, Clinical Effects, and Treatment of These Cases
Authors: Miller Stephen W. , Osterhoudt Kevin C. , Korenoski Amanda S. , Patel Ketan , Vaiyapuri Sakthivel
Published: November 2020

Exotic snakebites (i.e. from non-native species) are a rare occurrence, but they present a unique challenge to clinicians treating these patients. Poison control centers are often contacted to assist in the management and care of these medical emergencies. In this study, we analyzed case records of the two Pennsylvania poison control centers from 2004 to 2018 to describe clinical features reported as a result of exotic snakebite envenomation. For the 15-year period reviewed, 18 exotic snakebites were reported with effects ranging from mild local tissue injury to patients who were treated with mechanical ventilation due to respiratory failure. The mean age of the patients was 35 years and males accounted for 83% of the cases. Antivenom, the only specific treatment, was administered in seven of 18 patients within an average of four h of envenomation. The procurement of antivenom against these exotic species may require substantial logistical efforts due to limited stocking of this rarely used treatment. Newer, targeted, small molecule treatments that are being currently investigated may aid in the treatment of snakebites in general. However, people should be cautious when handling these exotic species, and clinicians should be aware of these bites and relevant clinical effects in order to manage these when reported.