bluuebunny/crossref_metadata_2025 huggingface dataset:
Modeling of Diurnal Changing Patterns in Airborne Crop Remote Sensing Images
Authors: Ma Dongdong , Rehman Tanzeel U. , Zhang Libo , Maki Hideki , Tuinstra Mitchell R. , Jin Jian
Published: April 2021

Airborne remote sensing technologies have been widely applied in field crop phenotyping. However, the quality of current remote sensing data suffers from significant diurnal variances. The severity of the diurnal issue has been reported in various plant phenotyping studies over the last four decades, but there are limited studies on the modeling of the diurnal changing patterns that allow people to precisely predict the level of diurnal impacts. In order to comprehensively investigate the diurnal variability, it is necessary to collect time series field images with very high sampling frequencies, which has been difficult. In 2019, Purdue agricultural (Ag) engineers deployed their first field visible to near infrared (VNIR) hyperspectral gantry platform, which is capable of repetitively imaging the same field plots every 2.5 min. A total of 8631 hyperspectral images of the same field were collected for two genotypes of corn plants from the vegetative stage V4 to the reproductive stage R1 in the 2019 growing season. The analysis of these images showed that although the diurnal variability is very significant for almost all the image-derived phenotyping features, the diurnal changes follow stable patterns. This makes it possible to predict the imaging drifts by modeling the changing patterns. This paper reports detailed diurnal changing patterns for several selected plant phenotyping features such as Normalized Difference Vegetation Index (NDVI), Relative Water Content (RWC), and single spectrum bands. For example, NDVI showed a repeatable V-shaped diurnal pattern, which linearly drops by 0.012 per hour before the highest sun angle and increases thereafter by 0.010 per hour. The different diurnal changing patterns in different nitrogen stress treatments, genotypes and leaf stages were also compared and discussed. With the modeling results of this work, Ag remote sensing users will be able to more precisely estimate the deviation/change of crop feature predictions caused by the specific imaging time of the day. This will help people to more confidently decide on the acceptable imaging time window during a day. It can also be used to calibrate/compensate the remote sensing result against the time effect.
Fusing Precipitable Water Vapor Data in CHINA at Different Timescales Using an Artificial Neural Network
Authors: Xiong Zhaohui , Zhang Bao , Sang Jizhang , Sun Xiaogong , Wei Xiaoming
Published: April 2021

Global climate change has noticeable influences on the water vapor redistribution in China, which is embodied by the fact that both wetting and drying tendencies were observed across China. This poses the necessity to monitor and understand the water vapor evolution in China. However, observations of water vapor from different techniques are subjected to systematic biases, different spatiotemporal resolutions and coverages, and different accuracy, which would hamper their joint use, potentially leading to contradictory conclusions when using different techniques. Data fusion is a promising way to address this problem. Some scholars have proposed several methods to fuse multi-source PWV data in China region, such as the enhanced spatial and temporal adaptive reflectance fusion model, the hybrid PWV fusion model, and the linear calibration model. Although these models can produce PWV products with improved accuracy, they still have some shortcomings, such as no consideration for spatial or temporal variations in bias or inevitably impose some biases inaccurate information since assumptions made for interpolations are imperfect. In this study, we use the high-quality Global Navigation Satellite System (GNSS) precipitable water vapor (PWV) to calibrate and optimize the Moderate-resolution Imaging Spectroradiometer (MODIS) and the European Centre for Medium-Range Weather Forecasts ReAnalyses 5 (ERA5) PWV in 2018–2019 through a Generalized Regression Neural Network (GRNN) at annual, quarterly, and monthly timescales. Validation results demonstrate that modifying the MODIS and ERA5 PWV at the monthly timescale results in the best accuracy. In the monthly experiment, the average bias, standard deviation (STD), and root mean square (RMS) error of modified MODIS PWV are 0.0 mm, 2.6 mm, and 2.6 mm, respectively. The percentage improvement is as high as 50% in terms of RMS compared to the original MODIS PWV. It becomes 0.0 mm, 1.7 mm, and 1.7 mm for the modified ERA5 PWV and the percentage improvement is 40%. Since the biases among different products are well-calibrated and the accuracy of MODIS and ERA5 PWV is improved to the same level of GNSS PWV, we can fuse them by simply merging them. Finally, we generate a new product of PWV in China with a temporal resolution of 1 day, a spatial resolution better than 31 km, and an accuracy better than 2.7 mm, which will serve as a high-quality product for investigating the water vapor redistribution under a changing climate.
Fractal Nature of Advanced Ni-Based Superalloys Solidified on Board the International Space Station
Authors: Mitić Vojislav , Serpa Cristina , Ilić Ivana , Mohr Markus , Fecht Hans-Jörg
Published: April 2021

Materials science is highly significant in space program investigation, energy production and others. Therefore, designing, improving and predicting advanced material properties is a crucial necessity. The high temperature creep and corrosion resistance of Ni-based superalloys makes them important materials for turbine blades in aircraft engines and land-based power plants. The investment casting process of turbine blades is costly and time consuming, which makes process simulations a necessity. These simulations require fundamental models for the microstructure formation. In this paper, we present advanced analytical techniques in describing the microstructures obtained experimentally and analyzed on different sample’s cross-sectional images. The samples have been processed on board the International Space Station using the MSL-EML device based on electromagnetic levitation principles. We applied several aspects of fractal analysis and obtained important results regarding fractals and Hausdorff dimensions related to the surface and structural characteristics of CMSX-10 samples. Using scanning electron microscopy (SEM), Zeiss LEO 1550, we analyzed the microstructure of samples solidified in space and successfully performed the fractal reconstruction of the sample’s morphology. We extended the fractal analysis on the microscopic images based on samples solidified on earth and established new frontiers on the advanced structures prediction.
A Novel Seam Tracking Technique with a Four-Step Method and Experimental Investigation of Robotic Welding Oriented to Complex Welding Seam
Authors: Zhang Gong , Zhang Yuhang , Tuo Shuaihua , Hou Zhicheng , Yang Wenlin , Xu Zheng , Wu Yueyu , Yuan Hai , Shin Kyoosik
Published: April 2021

The seam tracking operation is essential for extracting welding seam characteristics which can instruct the motion of a welding robot along the welding seam path. The chief tasks for seam tracking would be divided into three partitions. First, starting and ending points detection, then, weld edge detection, followed by joint width measurement, and, lastly, welding path position determination with respect to welding robot co-ordinate frame. A novel seam tracking technique with a four-step method is introduced. A laser sensor is used to scan grooves to obtain profile data, and the data are processed by a filtering algorithm to smooth the noise. The second derivative algorithm is proposed to initially position the feature points, and then linear fitting is performed to achieve precise positioning. The groove data are transformed into the robot’s welding path through sensor pose calibration, which could realize real-time seam tracking. Experimental demonstration was carried out to verify the tracking effect of both straight and curved welding seams. Results show that the average deviations in the X direction are about 0.628 mm and 0.736 mm during the initial positioning of feature points. After precise positioning, the average deviations are reduced to 0.387 mm and 0.429 mm. These promising results show that the tracking errors are decreased by up to 38.38% and 41.71%, respectively. Moreover, the average deviations in both X and Z direction of both straight and curved welding seams are no more than 0.5 mm, after precise positioning. Therefore, the proposed seam tracking method with four steps is feasible and effective, and provides a reference for future seam tracking research.
From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning
Authors: Stoeve Maike , Schuldhaus Dominik , Gamp Axel , Zwick Constantin , Eskofier Bjoern M.
Published: April 2021

The applicability of sensor-based human activity recognition in sports has been repeatedly shown for laboratory settings. However, the transferability to real-world scenarios cannot be granted due to limitations on data and evaluation methods. On the example of football shot and pass detection against a null class we explore the influence of those factors for real-world event classification in field sports. For this purpose we compare the performance of an established Support Vector Machine (SVM) for laboratory settings from literature to the performance in three evaluation scenarios gradually evolving from laboratory settings to real-world scenarios. In addition, three different types of neural networks, namely a convolutional neural net (CNN), a long short term memory net (LSTM) and a convolutional LSTM (convLSTM) are compared. Results indicate that the SVM is not able to reliably solve the investigated three-class problem. In contrast, all deep learning models reach high classification scores showing the general feasibility of event detection in real-world sports scenarios using deep learning. The maximum performance with a weighted f1-score of 0.93 was reported by the CNN. The study provides valuable insights for sports assessment under practically relevant conditions. In particular, it shows that (1) the discriminative power of established features needs to be reevaluated when real-world conditions are assessed, (2) the selection of an appropriate dataset and evaluation method are both required to evaluate real-world applicability and (3) deep learning-based methods yield promising results for real-world HAR in sports despite high variations in the execution of activities.
Grape Cluster Detection Using UAV Photogrammetric Point Clouds as a Low-Cost Tool for Yield Forecasting in Vineyards
Authors: Torres-Sánchez Jorge , Mesas-Carrascosa Francisco Javier , Santesteban Luis-Gonzaga , Jiménez-Brenes Francisco Manuel , Oneka Oihane , Villa-Llop Ana , Loidi Maite , López-Granados Francisca
Published: April 2021

Yield prediction is crucial for the management of harvest and scheduling wine production operations. Traditional yield prediction methods rely on manual sampling and are time-consuming, making it difficult to handle the intrinsic spatial variability of vineyards. There have been significant advances in automatic yield estimation in vineyards from on-ground imagery, but terrestrial platforms have some limitations since they can cause soil compaction and have problems on sloping and ploughed land. The analysis of photogrammetric point clouds generated with unmanned aerial vehicles (UAV) imagery has shown its potential in the characterization of woody crops, and the point color analysis has been used for the detection of flowers in almond trees. For these reasons, the main objective of this work was to develop an unsupervised and automated workflow for detection of grape clusters in red grapevine varieties using UAV photogrammetric point clouds and color indices. As leaf occlusion is recognized as a major challenge in fruit detection, the influence of partial leaf removal in the accuracy of the workflow was assessed. UAV flights were performed over two commercial vineyards with different grape varieties in 2019 and 2020, and the photogrammetric point clouds generated from these flights were analyzed using an automatic and unsupervised algorithm developed using free software. The proposed methodology achieved R2 values higher than 0.75 between the harvest weight and the projected area of the points classified as grapes in vines when partial two-sided removal treatment, and an R2 of 0.82 was achieved in one of the datasets for vines with untouched full canopy. The accuracy achieved in grape detection opens the door to yield prediction in red grape vineyards. This would allow the creation of yield estimation maps that will ease the implementation of precision viticulture practices. To the authors’ knowledge, this is the first time that UAV photogrammetric point clouds have been used for grape clusters detection.
Comparative Study on Estimation Methods of Dynamic Resistance Using Dynamic Cone Penetrometer
Authors: Kim Sang Yeob , Lee Jong-Sub , Kim Dong-Ju , Byun Yong-Hoon
Published: April 2021

Dynamic resistance, which can be used to express strength in the unit of stress and improve the reliability of the dynamic cone penetration test (DCPT), has been estimated by numerous methods. This study aims to compare different dynamic resistance estimation methods by using an instrumented dynamic cone penetrometer (IDCP). DCPTs are conducted using a standard dynamic cone penetrometer (DCP) and IDCP in the laboratory and field. Dynamic responses are obtained from the strain gauges and an accelerometer installed at the cone tip of the IDCP. The test results show that dynamic resistance is more efficient in distinguishing profiles than the dynamic cone penetration index. Among the methods to estimate the dynamic resistance at the cone tip, the force-velocity integration method and force integration method are more related to the conventional dynamic resistance considering the potential energy of the hammer than the force squared integration method. Additionally, the dynamic resistance estimated for a longer time period is more reliable, particularly for small driving rod lengths. Regarding the limitation of the dynamic response from an accelerometer in a previous study, the force-based dynamic resistance estimated for a longer time period can be used as the most reliable approach for further soil strength characterization.
Bi-Directional Mutual Energy Trade between Smart Grid and Energy Districts Using Renewable Energy Credits
Authors: Rehman Sana , Khan Bilal , Arif Jawad , Ullah Zahid , Aljuhani Abdullah J. , Alhindi Ahmad , Ali Sahibzada M.
Published: April 2021

A central authority, in a conventional centralized energy trading market, superintends energy and financial transactions. The central authority manages and controls transparent energy trading between producer and consumer, imposes a penalty in case of contract violation, and disburses numerous rewards. However, the management and control through the third party pose a significant threat to the security and privacy of consumers’/producers’ (participants) profiles. The energy transactions between participants involving central authority utilize users’ time, money, and impose a computational burden over the central controlling authority. The Blockchain-based decentralized energy transaction concept, bypassing the central authority, is proposed in Smart Grid (SG) by researchers. Blockchain technology braces the concept of Peer-to-Peer (P2P) energy transactions. This work encompasses the SolarCoin-based digital currency blockchain model for SG incorporating RE. Energy transactions from Prosumer (P) to Prosumer, Energy District to Energy District, and Energy District to SG are thoroughly investigated and analyzed in this work. A robust demand-side optimized model is proposed using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to maximize Prosumer Energy Surplus (PES), Grid revenue (GR), percentage energy transactions accomplished, and decreased Prosumer Energy Cost (PEC). Real-time averaged energy data of Australia are employed, and a piece-wise energy price mechanism is implemented in this work. The graphical analysis and tabular statistics manifest the efficacy of the proposed model.
Cellular and Virtualization Technologies for UAVs: An Experimental Perspective
Authors: Sanchez-Aguero Victor , Gonzalez Luis F. , Valera Francisco , Vidal Ivan , López da Silva Rafael A.
Published: April 2021

The Unmanned Aircraft System (UAS) ecosystem is exponentially growing in both recreational and professional fields to provide novel services and applications to consumers from multiple engineering fields. However, this technology has only scraped the surface of its potential, especially in those cases that require fast reaction times. Accordingly, the UAS Traffic Management (UTM) project aims at efficiently managing the air traffic for Unmanned Aerial Vehicle (UAV) operations, including those cases where UAVs might be remotely managed from a completely different geographical location. With these considerations in mind, this article presents a cellular-assisted UAVs testbed used to complete a mission managed beyond the radio line-of-sight (BRLoS), as well as introducing a virtualization platform for deploying services using containerization technology. In addition, the article conducts a communication performance evaluation in order to determine if the testbed equipment meets the requirements to carry out this BRLoS management. Finally, indoor flight operations are carried out to demonstrate the feasibility and proper operation of the testbed.
A Comprehensive Framework for Analyzing IoT Platforms: A Smart City Industrial Experience
Authors: Fahmideh Mahdi , Yan Jun , Shen Jun , Mougouei Davoud , Zhai Yanlong , Ahmad Aakash
Published: April 2021

The compliance of IoT platforms to quality is paramount to achieve users’ satisfaction. Currently, we do not have a comprehensive set of guidelines to appraise and select the most suitable IoT platform architectures that meet relevant criteria. This paper is a tentative response to this critical knowledge gap where we adopted the design science research approach to develop a novel evaluation framework. Our research, on the one hand, stimulates an unbiased competition among IoT platform providers and, on the other hand, establishes a solid foundation for IoT platform consumers to make informed decisions in this multiplicity. The application of the framework is illustrated in example scenarios. Moreover, lessons learned from applying design science research are shared.
The Interlocking Processes Constraining the Struggle for Sanctuary in the Trump Era: The Case of La Puente, CA
Authors: Ochoa Gilda L.
Published: April 2021

By 10 January 2017, activists in the predominately Latina/o working class city of La Puente, California had lobbied the council to declare the city a sanctuary supporting immigrants, people of color, Muslims, LGBTQ people, and people with disabilities. The same community members urged the school district to declare itself a sanctuary. While community members rejoiced in pushing elected officials to pass these inclusive resolutions, there were multiple roadblocks reducing the potential for more substantive change. Drawing on city council and school board meetings, resolutions and my own involvement in this sanctuary struggle, I focus on a continuum of three overlapping and interlocking manifestations of white supremacist heteronormative patriarchy: neoliberal diversity discourses, institutionalized policies, and a re-emergence of high-profiled white supremacist activities. Together, these dynamics minimized, contained and absorbed community activism and possibilities of change. They reinforced the status quo by maintaining limits on who belongs and sustaining intersecting hierarchies of race, immigration status, gender, and sexuality. This extended case adds to the scant scholarship on the current sanctuary struggles, including among immigration scholars. It also illustrates how the state co-opts and marginalizes movement language, ideas, and people, providing a cautionary tale about the forces that restrict more transformative change.
The Double-Edged Sword of Health and Safety: COVID-19 and the Policing and Exclusion of Migrant Asian Massage Workers in North America
Authors: Lam Elene , Shih Elena , Chin Katherine , Zen Kate
Published: April 2021

Migrant Asian massage workers in North America first experienced the impacts of COVID-19 in the final weeks of January 2020, when business dropped drastically due to widespread xenophobic fears that the virus was concentrated in Chinese diasporic communities. The sustained economic devastation, which began at least 8 weeks prior to the first social distancing and shelter in place orders issued in the U.S. and Canada, has been further complicated by a history of aggressive policing of migrant massage workers in the wake of the war against human trafficking. Migrant Asian massage businesses are increasingly policed as locales of potential illicit sex work and human trafficking, as police and anti-trafficking initiatives target migrant Asian massage workers despite the fact that most do not provide sexual services. The scapegoating of migrant Asian massage workers and criminalization of sex work have led to devastating systemic and interpersonal violence, including numerous deportations, arrests, and deaths, most notably the recent murder of eight people at three Atlanta-based spas. The policing of sex workers has historically been mobilized along fears of sexually transmitted disease and infection, and more recently, within the past two decades, around a moral panic against sex trafficking. New racial anxieties around the coronavirus as an Asian disease have been mobilized by the state to further cement the justification of policing Asian migrant workers along the axes of health, migration, and sexual labor. These justifications also solidify discriminatory social welfare regimes that exclude Asian migrant massage workers from accessing services on the basis of the informality and illegality of their work mixed with their precarious citizenship status. This paper draws from ethnographic participant observation and survey data collected by two sex worker organizations that work primarily with massage workers in Toronto and New York City to examine the double-edged sword of policing during the pandemic in the name of anti-trafficking coupled with exclusionary policies regarding emergency relief and social welfare, and its effects on migrant Asian massage workers in North America. Although not all migrant Asian massage workers, including those surveyed in this paper, provide sexual services, they are conflated, targeted, and treated as such by the state and therefore face similar barriers of criminalization, discrimination, and exclusion. This paper recognizes that most migrant Asian massage workers do not identify as sex workers and does not intend to label them as such or reproduce the scapegoating rhetoric used by law enforcement. Rather, it seeks to analyze how exclusionary attitudes and policies towards sex workers are transferred onto migrant Asian massage workers as well whether or not they provide sexual services.
Weak Association between Vastus Lateralis Muscle Fiber Composition and Fascicle Length in Young Untrained Females
Authors: Mpampoulis Thomas , Methenitis Spyridon , Papadopoulos Constantinos , Papadimas Giorgos , Spiliopoulou Polyxeni , Stasinaki Angeliki-Nikoletta , Bogdanis Gregory C. , Karampatsos Giorgos , Terzis Gerasimos
Published: April 2021

The aim of the study was to investigate the relationships between vastus lateralis muscle fiber length and fiber type composition in individuals with minimal exposure to systematic resistance/power training. In sixty female physical education students (age: 21.03 ± 2.1 years, body weight: 59.8 ± 9.7 kg, body height: 166.2 ± 6.5 cm), with no experience in systematic training, lean body mass, VL muscle architecture and fiber composition type, countermovement jumping (CMJ) performance, and isometric leg press rate of force development were evaluated. Data were analyzed for all participants, as well as two equally numbered groups assigned according to their maximum countermovement jumping power (High-Power or Low-Power group). Significant but low correlations were found between type II muscle fiber percentage and fascicle length (N = 60, p < 0.05). Significant correlations were found between type IIa and IIx muscle fiber percentage cross-sectional area (%CSA) and fascicle length (N = 60; r = 0.321, and r = 0.378; respectively, p < 0.05). These correlations were higher for the High-Power group (r = 0.499, and r = 0.522; respectively, p < 0.05), and lower, and nonsignificant, for the Low-Power group. The best predictor of strength/power performance was the lean body mass of the lower extremities (r = 0.389–0.645, p < 0.05). These results suggest that in females with minimal exposure to systematic training, fascicle length may be weakly linked with type II fiber areas, only in females with high-power profiles.
Fuel Injection Responses and Particulate Emissions of a CRDI Engine Fueled with Cocos nucifera Biodiesel
Authors: Teoh Yew Heng , How Heoy Geok , Sher Farooq , Le Thanh Danh , Nguyen Huu Tho , Yaqoob Haseeb
Published: April 2021

The objective of this paper is to study the effect of coconut oil biodiesel (COB)-diesel blends on exhaust particulate matter (PM) emissions and fuel injection responses in an unmodified turbocharged four-stroke common-rail direct injection (CRDI) diesel engine. Characterization of COB and their blends has been conducted to ascertain the applicability of these fuels for the existing engine. The test fuels used were fossil diesel fuel, COB10, COB20, COB30 and COB50 of biodiesel-diesel fuels. A test cycle which composed of 16 different steady-state modes at various loads and speed conditions was followed. Generally, the results showed a marginally advanced SOI timing and longer injection duration with increasing COB blends at higher load as compared to diesel fuel. Additionally, the lower calorific value (CV) and higher viscosity of the COB fuel blends have resulted in reduced turbo boost pressure and increased common-rail fuel injection pressure, respectively, across all engine speeds and loads. On the aspects of PM emissions characterization, results indicated that the blending of COB with conventional diesel had benefits over diesel in PM reduction. In fact, the largest achievable PM mass reduction of 38.55% was attained with COB50. In addition, it was noticed that the size of PM particles accumulated such that the granular size increased with higher diesel content in the blend. Additionally, the composition analysis on the PM collected by EDX spectroscopy has revealed that the C, O and Si as three main elements that made up the PM particles in descending order. Overall, the results indicated that COB biodiesel is a clean-burning alternative fuel and can be used satisfactorily in an unmodified diesel engine without the needs for engine remapping.
Development of Land Use Regression Model for Seasonal Variation of Nitrogen Dioxide (NO2) in Lahore, Pakistan
Authors: Pervez Saimar , Maruyama Ryuta , Riaz Ayesha , Nakai Satoshi
Published: April 2021

Ambient air pollution and its exposure has been a worldwide issue and can increase the possibility of health risks especially in urban areas of developing countries having the mixture of different air pollution sources. With the increase in population, industrial development and economic prosperity, air pollution is one of the biggest concerns in Pakistan after the occurrence of recent smog episodes. The purpose of this study was to develop a land use regression (LUR) model to provide a better understanding of air exposure and to depict the spatial patterns of air pollutants within the city. Land use regression model was developed for Lahore city, Pakistan using the average seasonal concentration of NO2 and considering 22 potential predictor variables including road network, land use classification and local specific variable. Adjusted explained variance of the LUR models was highest for post-monsoon (77%), followed by monsoon (71%) and was lowest for pre-monsoon (70%). This is the first study conducted in Pakistan to explore the applicability of LUR model and hence will offer the application in other cities. The results of this study would also provide help in promoting epidemiological research in future.
Identifying and Comparing Obstacles and Incentives for the Implementation of Energy Saving Projects in Eastern and Western European Countries: An Exploratory Study
Authors: Leal Filho Walter , Fedoruk Mariia , Zahvoyska Lyudmyla , Avila Lucas Veiga
Published: April 2021

This comparison study of the implementation of energy-saving projects in buildings was conducted in order to consider the diversity of experiences between Western European countries, which have experience and expertise in this area, and those countries in Eastern Europe that are in the beginning stages. The goal of this paper is to analyze obstacles and incentives for investment in energy conservation in buildings by comparing European countries with a diverse landscape of institutional and economic developments, social-cultural values, and environmental framework conditions in order to understand if these differences are influencing the implementation of energy saving measures and how this can be used to overcome the existing obstacles. The study is based on survey results received from experts in Eastern and Western European countries. The main value of the research is that it offers an overview of the potentials and constraints (barriers) to energy efficiency in Europe, based on data from a sample of western and eastern European countries. Among the most important incentives that were implemented to stimulate energy-saving measures are costs savings and the need to meet regulatory requirements. The main obstacles that still restrict the number of already implemented projects in Europe are a lack of proper financial incentives and that many Eastern countries are still struggling to develop the market of Energy Saving Services (ESS) and to operate better energy waste control systems. The paper concludes with the successful incentives that were implemented to stimulate the energy-saving measures and the main obstacles that still restrict the number of already implemented projects in Europe. Additionally, a set of indicators related to the environmental friendliness and social significance of energy-saving measures was proposed for evaluation of the project results. These were used based on the fact that they may be measured and cater for comparisons. This paper can help improve policy-makers’ selections in order to improve economic instruments appropriate to energy-saving policy objectives and specific national contexts.
Electric Vehicle Charging Facility Planning Based on Flow Demand—A Case Study
Authors: Wang Cheng , Gao Zhou , Yang Peng , Wang Zhenpo , Li Zhiheng
Published: April 2021

The location of electric vehicle charging facilities is of great significance in promoting the use of electric vehicles. Most existing electric vehicle location models, including the flow refueling location model (FRLM) and its flexible reformulation (FRFRLM), are based on flow demand. At present, these models cannot effectively deal with large-scale traffic networks within a limited time, and there has been little comparison of their relative benefits and limitations. Additionally, there have been few evaluations of the actual construction and location of charging facilities in cities. This paper describes an algorithm that can solve the large-scale transportation network problem within a reasonable time. Using this algorithm, the FRLM and FRFRLM models are compared in a case study focused on Jiading District, Shanghai, China, which provides some direction for the future development of flow demand models. Finally, to evaluate the actual construction of urban charging facilities, this paper presents an algorithm that can map the actual charging facilities to the transportation network, and compares the actual construction situation with the model output. This enables a comprehensive evaluation of the actual construction of charging facilities and provides guidance for future construction.
Quality Assurance for Sustainable Higher Education: Structural Equation Modeling
Authors: Herlambang Herlambang , Fitri Amelia Dwi , Mukminin Amirul , Muhaimin Muhaimin , Hidayat Marzul , Elfiani Elfiani , Shafira Nyimas Natasha Ayu , Puspasari Anggelia , Tarawifa Susan , Salam Ahmad Abdun , Yaakob Mohd Faiz Mohd , Habibi Akhmad
Published: April 2021

Competition to ensure sustainable conditions for graduates’ knowledge, skills, and competencies (KSC) and employability for sustainable development of human resources has long been present in higher education institutions (HEIs). The purpose of this study is to examine the roles of educational processes, practical activities, and research activities as key determinants to predict KSC and employability in the context of medical education in Indonesian HEIs. Moreover, this study also reports the role of facilities in predicting educational processes, practical activities, and research activities. This survey study obtained data from 1086 respondents, who are students of two medical schools. The data were analyzed by assessing the measurement and structural model in the partial least square structural equation model (PLS-SEM). Overall, all hypotheses were supported; the strongest relationship emerged between facilities and research activities, while the lowest relationship was present between practical activities and employability. From a theoretical perspective, the findings offer a conceptual framework related to HEIs’ quality management factors. Highlighting the significant relationships, appropriate policies can be produced for more quality institutions in improving graduates’ KSC and employability for the labor market.
Planning for Sustainability: An Emerging Blue Economy in Russia’s Coastal Arctic?
Authors: Tianming Gao , Bobylev Nikolai , Gadal Sebastien , Lagutina Maria , Sergunin Alexander , Erokhin Vasilii
Published: April 2021

The main research objective of this study is to examine how coastal urban communities in the Arctic Zone of the Russian Federation (AZRF) organize the sustainable development (and emerging blue economy) strategy planning process. Along with this general objective, this study focuses on four more specific questions: First, to examine whether the sustainable development and blue economy concepts are integrated into the urban development strategies and whether they are a real priority for the northern coastal communities? Second, to figure out which local government and civil society institutions are involved in the policy planning process and whether this sphere of local politics is transparent and open to public discussions? Third, to find out which specific aspects of the sustainable development and coastal blue economy concepts are given priority in the municipal development strategies? Finally, to discuss whether the AZRF coastal sustainable development/blue economy strategies aim to solve short-term/most pressing problems or they suggest long-term policies built on sustainability principles and are oriented to solve fundamental socioeconomic and ecological problems of the AZRF coastal communities? The hypothesis of this study is that a properly designed strategy planning system would be helpful for both familiarizing northern municipalities with the blue economy concept and its effective implementation. This research is based on several empirical cases, including major Arctic coastal urban centers/ports—Anadyr, Arkhangelsk, Dudinka, Murmansk, Naryan-Mar, Pevek, Sabetta, and Severodvinsk.
The Safeguarding of Intangible Cultural Heritage from the Perspective of Civic Participation: The Informal Education of Chinese Embroidery Handicrafts
Authors: Yan Wen-Jie , Chiou Shang-Chia
Published: April 2021

Heritage education can enable social empowerment. Within the broader goal of social empowerment, a current challenge is to establish principles that promote social participation in traditional education. The practice of protecting intangible cultural heritage in China has developed its own unique working model based on the basic theoretical level of UNESCO. This research used cultural citizenship as a theoretical guide, focused on the traditional embroidery craftsmanship of China’s intangible cultural heritage, and conducted exploratory research on the learning intention and value influence indicators of citizens participating in intangible cultural heritage. The research design of this study was divided into two phases: the first phase was designed to collect evaluation indicators that affect the learning of intangible cultural heritage skills, and to support these data using semi-structured in-depth interviews. In the second phase, the convergence of the value indicators that affect the learning of intangible cultural heritage techniques was completed using questionnaire surveys and statistical analyses. Factor analysis was performed using SPSS software. SEM (structural equation modeling) confirmatory analysis was performed using Amos software. Through a two-stage hybrid study, a value recognition scale for the informal educational inheritance of intangible cultural heritage handicrafts was obtained within the local context of China. The scale contains four first-level indicators (ICH’s authenticity, cultural identity, performed value, and social recognition) and 17 second-level indicators. The research results were based on UNESCO’s education indicators for SDG 4, and put forward principles for practices aimed at protecting China’s intangible cultural heritage’s local informal education. Reflecting on the Chinese tradition of citizen participation in protecting intangible cultural heritage could provide references for the practice of intangible cultural heritage protection in other fields and regions. This is consistent with the UN’s SDG 4.7 (ensure all learners acquire knowledge and skills needed to promote sustainable development).
Manufacturing of Low-Carbon Binders Using Waste Glass and Dredged Sediments: Formulation and Performance Assessment at Laboratory Scale
Authors: Bouchikhi Abdelhadi , Maherzi Walid , Benzerzour Mahfoud , Mamindy-Pajany Yannick , Peys Arne , Abriak Nor-Edine
Published: April 2021

Few studies focus on the co-valorization of river dredging sediments (DS) and residual waste glass (RWG) in alkali-activated binders. This study investigates the use of DS as an aluminosilicate source by substituting a natural resource (metakaolin (MK)), while using RWG as an activator (sodium silicate source). Suitable treatments are selected to increase the potential reactivity of each residue. The DS is thermally treated at 750 °C to promote limestone and aluminosilicate clays’ activation. The RWG (amorphous, rich in silicon, and containing sodium) is used as an alkaline activator after treatment in 10 M NaOH. Structural monitoring using nuclear magnetic resonance (29NMR and 27NMR), X-ray diffraction, and leaching is conducted to achieve processing optimization. In the second stage, mortars were prepared and characterized by determining compressive strength, water absorption, mercury porosimetry and Scanning Electron Microscopy with Energy Dispersive Spectroscopy (SEM-EDS). Results obtained show the great advantage of combining RWG and DS in an alkali-activation binder. The treated RWG offers advantages when used as sodium silicate activating solution, while the substitution of MK by calcined sediments (DS-750 °C) at 10%, 20%, and 30% leads to improvements in the properties of the matrix such as an increase in compressive strength and a refinement and reduction of the pore size within the matrix.
Reconceptualizing STEM Education in China as Praxis: A Curriculum Turn
Authors: Ma Ying
Published: April 2021

STEM education has drawn considerable international attention in recent decades. Current practices of STEM Education in China have shown that STEM is understood primarily as a policy-driven and economic problem. This paper challenges the reduced technical frameworks of STEM education and draws on the theoretical framework of the reconceptualization movement in the curriculum field. It aims to shift scientific or social science paradigms with languages of humanity to reapproach STEM education. STEM education is hence reconceptualized as praxis in its lived, ethical and historical dimensions. It would transform STEM education in China from being targeted for economic growth to attending to lived, nuanced and rich STEM experiences, structured by ethics and threaded by history. STEM teachers and teacher educators are advised to understand anew about STEM in their situatedness. STEM could serve as an opportunity to critically reflect on and research each discipline in greater depth with inter-disciplinary lenses. Instead of integrating science, technology, engineering and mathematics seamlessly to form omnipotent toolsets for the 21st-century workforce in China and on the international landscape, a reconceptualization of STEM as praxis could continue to generate more sustainable STEM education.
Impact of COVID-19 and Anti-Pandemic Measures on the Sustainability of Demand in Suburban Bus Transport. The Case of the Slovak Republic
Authors: Konečný Vladimír , Brídziková Mária , Senko Šimon
Published: April 2021

The COVID-19 pandemic has had a major impact on global social and economic development, including the transport sector. To prevent the spread of COVID-19, individual states had to take radical measures, including the closure of schools, offices, and businesses. At present, an extraordinary situation persists in the Slovak Republic in connection to the COVID-19 pandemic, which continues to influence the behavior and decisions of passengers when using public passenger transport. Anti-pandemic measures in the Slovak Republic were reflected in a decrease in the mobility of the population in public passenger transport; the change in mobility manifested to different extents in individual regions of the Slovak Republic. Our research at the regional level is focused on the Žilina self-governing region. The net impact of the COVID-19 pandemic in 2020 was clear through a year-on-year decrease in the number of total passenger transport systems for suburban bus transport (SBT) in ŽSK by 40.2% in March, in April by 70.0%, and in May by 60.2%. There was a more significant decrease in the number of passengers in the first wave of the pandemic in the first half of 2020 than during the second wave of the pandemic in the second half of 2020. The decrease in demand was most pronounced in April 2020 in pupils and students aged 15 years (−89.3%), in children under 6 years (−85.7%), and in seniors over 65 (−80.0%). A time series of past demand for SBT in the Žilina self-governing region, including data from the pandemic period used for forecasts of single-criteria, reduced the reliability of estimated future values of demand. Estimated future demand values are an important part of SBT’s transport service plans for ensuring an adequate supply of transport services in order to maintain demand.
Hazards, Infrastructure Networks and Unspecific Resilience
Authors: Touili Nabil
Published: April 2021

The aim of this paper is to provide a framework to improve urban resilience independently of the nature of the disturbances. Recent disasters had a significant impact on critical infrastructures providing essential urban services such as energy, transportation, telecommunication, water and food supply or health care. Indeed, several natural and human-made hazards may lead to disruptions, and most critical infrastructures are networked and highly interdependent. Henceforth, resilience building remain focused on specific hazards or on improving the resilience, separately, of single infrastructures. In order to enhance urban resilience, this paper is based on learnings from three case studies that are the 2001 WTC terrorist attack, hurricanes Irma and Maria in 2017 and the 2016 Seine river flood in Paris. These events highlight disruptions to urban services, but also some resilience options. In light of both the literature and our case studies, a framework of unspecific resilience is provided for improving some resilience principles, namely omnivory, redundancy, buffering, high flux, homeostasis and flatness within electric energy, water and food supply and transportation networks. Rebuilding resilience within this framework is further discussed with respect to all kinds of disruptive events.
Analyzing Restaurant Customers’ Evolution of Dining Patterns and Satisfaction during COVID-19 for Sustainable Business Insights
Authors: Jia Susan (Sixue)
Published: April 2021

Observing and interpreting restaurant customers’ evolution of dining patterns and satisfaction during COVID-19 is of critical importance in terms of developing sustainable business insights. This study describes and analyzes customers’ dining behavior before and after the pandemic outbreak by means of statistically aggregating and empirically correlating 651,703 restaurant-user-generated contents posted by diners during 2019–2020. Twenty review topics, mostly food, were identified by latent Dirichlet allocation, whereas analysis of variation and rating-review regression were performed to explore whether and why customers became less satisfied. Results suggest that customers have been paying fewer visits to restaurants since the outbreak, assigning lower ratings, and showing limited evidence of spending more. Interestingly, queuing, the most annoying factor for restaurant customers during normal periods, turns out to receive much less complaint during COVID-19. This study contributes by discovering business knowledge in the context of COVID-19 based on big data that features accessibility, relevance, volume, and information richness, which is transferable to future studies and can benefit additional population and business. Meanwhile, this study also provides practical suggestions to managers regarding the framework of self-evaluation, business mode, and operational optimization.
Selected Respiratory Protective Devices: Respirators and Significance of Some Markings
Authors: Otrisal Pavel , Bungau Constantin , Obsel Vladimír , Melicharik Zdeněk , Tont Gabriela
Published: April 2021

Currently, setting the obligation to use respiratory protective equipment with a level of protection of at least FFP2 in public transport and commercial and shopping centers are considered within the European Union. Many new products appeared on the European market within these specifications, and many symbols have been used. The paper deals with the meaning of selected respiratory protection based on respirators symbols and markings (which appeared massively, especially after the pandemic situation in the spring of 2020), these symbols not being uniformly understood and well communicated. We also mention and discuss some of the problems related to setting the conditions of public procurement, which affect respirators. Thus, this review is an “informative guide” in facilitating the understanding and use of full knowledge of the most appropriate respiratory protective devices in various situations.
A Note on the Birnbaum–Saunders Conditionals Model
Authors: Arnold Barry C. , Gallardo Diego I. , Gómez Héctor W.
Published: April 2021

As an alternative to available bivariate Birnbaum–Saunders (BS) models, a conditionally specified distribution with BS conditionals is considered. The behavior of conditional or pseudo-likelihood parameter estimates of the model parameters is investigated via simulation. A comparison using a mineralogy data set suggests that the conditionally specified model outperforms competing models (with BS marginals). An analogous comparison using a well-known data set of Australian athletes also suggests the superiority of the conditionally specified model. Further investigation of its possible general superiority is suggested.