bluuebunny/crossref_metadata_2025 huggingface dataset:
Measurement of Corona Discharges under Variable Geometry, Frequency and Pressure Environment
Authors: Bas-Calopa Pau , Riba Jordi-Roger , Moreno-Eguilaz Manuel
Published: February 2022

Aeronautical industry is evolving towards more electric aircrafts (MEA), which will require much more electrical power compared to conventional models. To satisfy this increasing power demand and stringent weight requirements, distribution voltages must be raised, which jointly with the low-pressure environment and high operating frequencies increase the risk of electrical discharges occurrence. Therefore, it is important to generate data to design insulation systems for these demanding applications. To this end, in this work a sphere-to-plane electrode configuration is tested for several sphere geometries (diameters ranging from 2 mm to 10 mm), frequencies of 50 Hz, 400 Hz and 800 Hz and pressures in the 20–100 kPa range, to cover most aircraft applications. The corona extinction voltage is experimentally determined by using a gas-filled tube solar blind ultraviolet (UV) sensor. In addition, a CMOS imaging sensor is used to locate the discharge points. Next, to gain further insight to the discharge conditions, the electric field strength is calculated using finite element method (FEM) simulations and fitted to equations based on Peek’s law. The results presented in this paper could be especially valuable to design aircraft electrical insulations as well as for high-voltage hardware manufacturers, since the results allow determining the electric field values at which the components can operate free of surface discharges for a wide altitude range.
Comparison of Optimisation Algorithms for Centralised Anaerobic Co-Digestion in a Real River Basin Case Study in Catalonia
Authors: Palma-Heredia David , Verdaguer Marta , Puig Vicenç , Poch Manuel , Cugueró-Escofet Miquel Àngel
Published: February 2022

Anaerobic digestion (AnD) is a process that allows the conversion of organic waste into a source of energy such as biogas, introducing sustainability and circular economy in waste treatment. AnD is an intricate process because of multiple parameters involved, and its complexity increases when the wastes are from different types of generators. In this case, a key point to achieve good performance is optimisation methods. Currently, many tools have been developed to optimise a single AnD plant. However, the study of a network of AnD plants and multiple waste generators, all in different locations, remains unexplored. This novel approach requires the use of optimisation methodologies with the capacity to deal with a highly complex combinatorial problem. This paper proposes and compares the use of three evolutionary algorithms: ant colony optimisation (ACO), genetic algorithm (GA) and particle swarm optimisation (PSO), which are especially suited for this type of application. The algorithms successfully solve the problem, using an objective function that includes terms related to quality and logistics. Their application to a real case study in Catalonia (Spain) shows their usefulness (ACO and GA to achieve maximum biogas production and PSO for safer operation conditions) for AnD facilities.
The Unfolding Space Glove: A Wearable Spatio-Visual to Haptic Sensory Substitution Device for Blind People
Authors: Kilian Jakob , Neugebauer Alexander , Scherffig Lasse , Wahl Siegfried
Published: February 2022

This paper documents the design, implementation and evaluation of the Unfolding Space Glove—an open source sensory substitution device. It transmits the relative position and distance of nearby objects as vibratory stimuli to the back of the hand and thus enables blind people to haptically explore the depth of their surrounding space, assisting with navigation tasks such as object recognition and wayfinding. The prototype requires no external hardware, is highly portable, operates in all lighting conditions, and provides continuous and immediate feedback—all while being visually unobtrusive. Both blind (n = 8) and blindfolded sighted participants (n = 6) completed structured training and obstacle courses with both the prototype and a white long cane to allow performance comparisons to be drawn between them. The subjects quickly learned how to use the glove and successfully completed all of the trials, though still being slower with it than with the cane. Qualitative interviews revealed a high level of usability and user experience. Overall, the results indicate the general processability of spatial information through sensory substitution using haptic, vibrotactile interfaces. Further research would be required to evaluate the prototype’s capabilities after extensive training and to derive a fully functional navigation aid from its features.
Simultaneous Calibration of the Hand-Eye, Flange-Tool and Robot-Robot Relationship in Dual-Robot Collaboration Systems
Authors: Qin Yanding , Geng Pengxiu , Lv Bowen , Meng Yiyang , Song Zhichao , Han Jianda
Published: February 2022

A multi-robot collaboration system can complete more complex tasks than a single robot system. Ensuring the calibration accuracy between robots in the system is a prerequisite for the effective inter-robot cooperation. This paper presents a dual-robot system for orthopedic surgeries, where the relationships between hand-eye, flange-tool, and robot-robot need to be calibrated. This calibration problem can be summarized to the solution of the matrix equation of AXB=YCZ. A combined solution is proposed to solve the unknown parameters in the equation of AXB=YCZ, which consists of the dual quaternion closed-form method and the iterative method based on Levenberg–Marquardt (LM) algorithm. The closed-form method is used to quickly obtain the initial value for the iterative method so as to increase the convergence speed and calibration accuracy of the iterative method. Simulation and experimental analyses are carried out to verify the accuracy and effectiveness of the proposed method.
Portable Electrochemical DNA Sensors Based on Gene Amplification Reactions to Screen and Identify Pathogen and SNPs
Authors: Tamiya Eiichi
Published: February 2022

In this paper, we introduce portable sensors based on genetic measurements that can be used in the field for the diagnosis of infectious diseases and disease risk based on SNPs (single nucleotide polymorphisms). In particular, the sensors are based on electrochemical measurements that can be performed with printed electrodes and small measuring devices. Indicator molecules that can bind to nucleic acid molecules in various ways are already known, and some of these molecules have electrochemical activity. First, we investigated the change in their electrochemical responses in a solution system. As a result, we searched for nucleic acid-binding molecules whose current value changes in the presence of DNA. In addition, when we measured the change in the current value, associated with the amplification of specific genes, such as PCR (polymerase chain reaction) and LAMP (loop-mediated isothermal amplification), we found that the current value decreased with the number of amplifications, indicating that specific genes can be monitored electrochemically. Based on this principle, we showed that pathogenic microorganisms and viruses, such as Salmonella, O157 E. coli, hepatitis B virus, periodontal disease bacteria, antibiotic-resistant bacteria and influenza virus, were able to be measured. The method was also applied to the diagnosis of SNPs, such as ApoE (apolipoprotein E), which is a risk factor for Alzheimer’s disease. Rapid PCR was available with a microfluidic device, and a simple method was also presented with the isothermal amplification of LAMP.
Using Modified Technology Acceptance Model to Evaluate the Adoption of a Proposed IoT-Based Indoor Disaster Management Software Tool by Rescue Workers
Authors: Brar Preetinder Singh , Shah Babar , Singh Jaiteg , Ali Farman , Kwak Daehan
Published: February 2022

Advancements in IoT technology have been instrumental in the design and implementation of various ubiquitous services. One such design activity was carried out by the authors of this paper, who proposed a novel cloud-centric IoT-based disaster management framework and developed a multimedia-based prototype that employed real-time geographical maps. The multimedia-based system can provide vital information on maps that can improve the planning and execution of evacuation tasks. This study was intended to explore the acceptance of the proposed technology by the specific set of users that could potentially lead to its adoption by rescue agencies for carrying out indoor rescue and evacuation operations. The novelty of this study lies in the concept that the acceptability of the proposed system was ascertained before the complete implementation of the system, which prevented potential losses of time and other resources. Based on the extended Technology Acceptance Model (TAM), we proposed a model included factors such as perceived usefulness, perceived ease of use, attitude, and behavioural intention. Other factors include trust in the proposed system, job relevance, and information requirement characteristics. Online survey data collected from the respondents were analyzed using structural equation modelling (SEM) revealed that although perceived ease of use and job relevance had significant impacts on perceived usefulness, trust had a somewhat milder impact on the same. The model also demonstrated a statistically moderate impact of trust and perceived ease of use on behavioural intention. All other relationships were statistically strong. Overall, all proposed relationships were supported, with the research model providing a better understanding of the perceptions of users towards the adoption of the proposed technology. This would be particularly useful while making decisions regarding the inclusion of various features during the industrial production of the proposed system.
Impact of Image Enhancement Module for Analysis of Mammogram Images for Diagnostics of Breast Cancer
Authors: Almalki Yassir Edrees , Soomro Toufique Ahmed , Irfan Muhammad , Alduraibi Sharifa Khalid , Ali Ahmed
Published: February 2022

Breast cancer is widespread around the world and can be cured if diagnosed at an early stage. Digital mammograms are used as the most effective imaging modalities for the diagnosis of breast cancer. However, mammography images suffer from low contrast, background noise as well as contrast as non-coherency among the regions, and these factors makes breast cancer diagnosis challenging. These problems can be overcome by using a new image enhancement technique. The objective of this research work is to enhance mammography images to improve the overall process of segmentation and classification of breast cancer diagnosis. We proposed the image enhancement for mammogram images, as well as the ablation of the pectoral muscle. The image enhancement technique involves several steps. In the first step, we process the mammography images in three channels (red, green and blue), the second step is based on the uniformity of the background on morphological operations, and the third step is to obtain a well-contrasted image using principal component analysis (PCA). The fourth step is based on the removal of the pectoral muscle using a seed-based region growth technique, and the last step contains the coherence of the different regions of the image using a second order Gaussian Laplacian (LoG) and an oriented diffusion filter to obtain a much-improved contrast image. The proposed image enhancement technique is tested with our data collected from different hospitals in Qassim health cluster Qassim province Saudi Arabia, and it contains the five Breast Imaging and Reporting System (BI-RADS) categories and this database contained 11,194 images (the images contain carnio-caudal (CC) view and mediolateral oblique(MLO) view of mammography images), and we used approximately 700 images to validate our database. We have achieved improved performance in terms of peak signal-to-noise ratio, contrast, and effective measurement of enhancement (EME) as well as our proposed image enhancement technique outperforms existing image enhancement methods. This performance of our proposed method demonstrates the ability to improve the diagnostic performance of the computerized breast cancer detection method.
Landing System Development Based on Inverse Homography Range Camera Fusion (IHRCF)
Authors: Sefidgar Mohammad , Landry Rene
Published: February 2022

The Unmanned Aerial Vehicle (UAV) is one of the most remarkable inventions of the last 100 years. Much research has been invested in the development of this flying robot. The landing system is one of the more challenging aspects of this system’s development. Artificial Intelligence (AI) has become the preferred technique for landing system development, including reinforcement learning. However, current research is more focused is on system development based on image processing and advanced geometry. A novel calibration based on our previous research had been used to ameliorate the accuracy of the AprilTag pose estimation. With the help of advanced geometry from camera and range sensor data, a process known as Inverse Homography Range Camera Fusion (IHRCF), a pose estimation that outperforms our previous work, is now possible. The range sensor used here is a Time of Flight (ToF) sensor, but the algorithm can be used with any range sensor. First, images are captured by the image acquisition device, a monocular camera. Next, the corners of the landing landmark are detected through AprilTag detection algorithms (ATDA). The pixel correspondence between the image and the range sensor is then calculated via the calibration data. In the succeeding phase, the planar homography between the real-world locations of sensor data and their obtained pixel coordinates is calculated. In the next phase, the pixel coordinates of the AprilTag-detected four corners are transformed by inverse planar homography from pixel coordinates to world coordinates in the camera frame. Finally, knowing the world frame corner points of the AprilTag, rigid body transformation can be used to create the pose data. A CoppeliaSim simulation environment was used to evaluate the IHRCF algorithm, and the test was implemented in real-time Software-in-the-Loop (SIL). The IHRCF algorithm outperformed the AprilTag-only detection approach significantly in both translational and rotational terms. To conclude, the conventional landmark detection algorithm can be ameliorated by incorporating sensor fusion for cameras with lower radial distortion.
The Way to Modern Shutter Speed Measurement Methods: A Historical Overview
Authors: Simon Gyula , Vakulya Gergely , Rátosi Márk
Published: February 2022

Exposure time is a fundamental parameter for the photographer when the photo is composed, and the exact length of the exposure may be an essential determinant of performance in certain camera-based applications, e.g., optical camera communication (OCC) systems. There can be several reasons to measure the shutter speed of a camera: shutter speed may be checked at the time of manufacturing; it may be necessary to recheck in case of an elder camera model; it may be necessary to be measured if its exact value is not provided by the manufacturer; or a precise measurement may be necessary for a demanding application. In this paper various methods for shutter speed measurement are reviewed, presenting and analyzing methods that are still relevant today either for manufacturers, service personnel, amateur photographers, or the developers of camera-based systems. Each presented method is illustrated by real measurement results and the performance properties of the methods are also presented.
Improving the Quantification of Colorimetric Signals in Paper-Based Immunosensors with an Open-Source Reader
Authors: Russell Steven M. , Alba-Patiño Alejandra , Vaquer Andreu , Clemente Antonio , de la Rica Roberto
Published: February 2022

Measuring the colorimetric signals produced by the biospecific accumulation of colorimetric probes and recording the results is a key feature for next-generation paper-based rapid tests. Manual processing of these tests is time-consuming and prone to a loss of accuracy when interpreting faint and patchy signals. Proprietary, closed-source readers and software companies offering automated smartphone-based assay readings have both been criticized for interoperability issues. Here, we introduce a minimal reader prototype composed of open-source hardware and open-source software that has the benefits of automatic assay quantification while avoiding the interoperability issues associated with closed-source readers. An image-processing algorithm was developed to automate the selection of an optimal region of interest and measure the average pixel intensity. When used to quantify signals produced by lateral flow immunoassays for detecting antibodies against SARS-CoV-2, results obtained with the proposed algorithm were comparable to those obtained with a manual method but with the advantage of improving the precision and accuracy when quantifying small spots or faint and patchy signals.
Monitoring of Aflatoxin M1 in Various Origins Greek Milk Samples Using Liquid Chromatography Tandem Mass Spectrometry
Authors: Panara Anthi , Katsa Maria , Kostakis Marios , Bizani Erasmia , Thomaidis Nikolaos S.
Published: February 2022

Aflatoxin M1(AFM1), a major metabolite of Aflatoxin B1(AFB1), has been identified as a potential contaminant in dairy products. Because of its possible carcinogenicity, the legislation limits as set by Commission Regulation (EC) No. 1881/2006 are very strict, namely 0.050 μg kg−1 in milk and 0.025 μg kg−1 in infant formulas. To meet these requirements, a sensitive and accurate method was developed, employing liquid chromatography tandem mass spectrometry (UPLC-MS/MS). Ιmmunoaffinity columns (R-Biopharm) were used for sample purification and preconcentration of the analyte of interest. The quantification of AFM1 was conducted using fortified milk samples, while Aflatoxin B2 (AFB2) was used as an internal standard (IS). The method was validated in terms of linearity, precision, trueness, limits of detection and quantification and uncertainty. The performance criteria for the method were evaluated based on European Commission Regulation (EC) No. 401/2006 and its most recent amendment, as well as the suggested criteria for revision by the EU Reference Laboratory for Mycotoxins and Plant Toxins. The recovery was in the range of 77.9–81.0% for all fortification levels (0.025–0.050–0.075 μg kg−1), with RSDR values (Relative Standard Deviation of intermediate precision) ranging from 6.1% to 12%. The method’s detection and quantification limits were 0.0027 μg kg−1 and 0.0089 μg kg−1, respectively. The occurrence of AFM1 was investigated in 40 samples of different animal origin (cow, goat and sheep milk) provided by Greek producers.
Ultra-High-Performance Micellar Liquid Chromatography Comparing Tween 20 and Tween 40 for the Determination of Hydroxycinnamic Acids
Authors: Ali Abd al-karim F. , Danielson Neil D.
Published: February 2022

A simple and green ultra-high-performance micellar liquid chromatography (MLC) method was developed here, comparing Tween 20 and Tween 40 for the first time as the only mobile phase modifiers with a C18 column. Its application to the separation of nine hydroxycinnamic acid (HCA) derivatives (cinnamic, caffeic, ferulic, sinapic, o-, m-, p-coumaric, 3,4-dihydroxyhydrocinnamic, and chlorogenic acids) was made, due to their importance as antioxidants in a variety of natural beverages such as wine and coffee. The optimal conditions of 45 °C temperature (T), 1% surfactant in the mobile phase, and pH control with 2.5 mM sulfuric acid were determined and used to elucidate the analytical figures of merit. Although the effect of these conditions was insignificant between the two surfactants, the nine-component HCA mixture was separated faster—in about 15 min—and with less peak tailing using Tween 20 than with Tween 40. The linearity of the Van’t Hoff (lnk versus 1/T) plots was evident for Tween 20, indicating a single retention mechanism—but less so for Tween 40. The equilibrium constants of the analytes with the micelles and the stationary phase were calculated. The developed method was successfully used to analyze organic red wine, spiked organic red wine, and green coffee diet pills. The percent recoveries of the nine HCA compounds spiked in the organic red wine ranged from 90% to 107%. The green coffee extract diet pills showed the presence of a significant amount of chlorogenic acid.
Online EU Contestation in Times of Crisis: Towards a European Digital Demos?
Authors: Pejovic Milica
Published: February 2022

Crises, as critical moments in the process of European integration, are particularly conducive to the increased politicisation of the European Union (EU) and its contestation. The year 2015 saw the peaks of the Greek and the refugee crises, the two crises that put the two flagships of the European project—the Euro and the Schengen zone—into imminent peril, causing a prolonged EU legitimacy crisis. Building on the literature that considers Euroscepticism as a context-dependent and discursive phenomenon, this study analyses Facebook debates that emerged in response to the Greek and refugee crises, trying to identify how the EU was evaluated and how these evaluations were justified. To answer this question, this study involved the qualitative content analysis of over 7000 Facebook comments related to the Greek and migration crises published in 2015 on the pages of the European Parliament and the European Commission. Contrary to the literature that explains popular Euroscepticism by utilitarian or cultural factors, the findings of this study show that the most recurrent justification for negative EU polity evaluations is the lack of democratic credentials. Furthermore, the commentators mostly assessed the EU’s current set-up and, to a much lesser extent, the principle and the future of European integration. Moreover, the Facebook public extensively commented on the level of inclusiveness, particularly bemoaning the lack of inclusiveness of “ordinary” people in EU decision making. Nevertheless, the commentators frequently referred to themselves as “we Europeans” or “we people”, opposing themselves to EU, national, or financial “elites”. Despite its populist elements, this sense of “we-ness” incepted in social media suggests the capacity of transnational online discussion to foster European digital demos.
The Impact of Family Members Serving as Village Cadres on Rural Household Food Waste: Evidence from China
Authors: Luo Yi , Huang Dong , Cao Fangfang
Published: February 2022

Based on nationwide survey data from China, we used a fractional logit model for analysis and propensity score matching (PSM) to evaluate the impact of family members serving as village cadres on household food waste. We found that, first, one household in rural China wasted an average of 1.62% of total food per day; in particular, the waste of staple foods was the most serious, with 5.14% of rice wasted per day. Differences in economic development, the geographical environment and diet habits caused differences in food waste in various regions of China. Second, empirical analysis showed that family members serving as cadres significantly increased household food waste. Third, the PSM results showed that family members serving as village cadres significantly increased household food waste and the waste of rice products. Households with members serving as cadres wasted 1.98% of total foods and 7.15% of rice products, on average, while other households wasted only 1.22–1.55% of total foods and 3.55–4.74% of rice products, on average.
The Assessment of the Key Competences for Lifelong Learning—The Fuzzy Model Approach for Sustainable Education
Authors: Aleksić Aleksandar , Nestić Snežana , Huber Michael , Ljepava Nikolina
Published: February 2022

Contemporary education in higher education institutions has a goal to provide necessary competences determined by legislative demands, science trends and job market needs to graduated students intending to strengthen their employability. The main idea of this research is to assess the level of students’ competences for lifelong learning (LLL). Since it is a very complex task, it is characterized by a lack of information and the vagueness of the inherently subjective nature of human thinking. The uncertain values of the assessed level of students’ competences for LLL are represented by linguistic expressions which are modeled by the interval type 2 trapezoidal fuzzy numbers. Ranking of the level of students’ competences for LLL is stated as a fuzzy multi-criteria optimization task. The aggregation of students’ opinions into unique marks is given by using the proposed fuzzy Delphi technique. The rank of students’ competences for LLL is given by using the proposed fuzzy Simple Additive Weighting (FSAW). The order of measures that should be delivered to improve students’ competences is based on the obtained rank. The model is tested and discussed on the real data collected from a significant sample of the students with a proposal of future directions of the research.
Crowd Gathering and Thermal Comfort Research in Different Park Shading Spaces
Authors: Fan Qindong , Li Xiaofeng , Li Hu
Published: February 2022

The thermal comfort of different shaded spaces in parks varies noticeably, and it is also a key factor influencing crowd gathering. Longzi Lake Beach Park in Zhengzhou was used as a study area in this research. For analysis, a thermal comfort index for three different space types (unshaded, semi-shaded, and fully-shaded) and a crowd aggregation index were used. The results show that during autumn, visitors are sensitive to the thermal comfort in different shaded spaces, and that the location of the playing field differs significantly. Air temperature and solar radiation are the two factors that influence tourists’ thermal comfort the most. For the first time, a regression relationship between physiological equivalent temperature (PET) and mean thermal sensation vote (MTSV) is established in different shading spaces. It clarified the thermal comfort of tourists in different shaded spaces. PET and crowd aggregation index show a clear correlation. The correlation between the MTSV and crowd aggregation density increased with the increase in shade area. For the first time, the relationship between thermal comfort and crowd gathering in different shaded spaces in parks was analysed. The research is beneficial to improving the scientificity of the construction of the park’s thermal environment, and providing people with more comfortable outdoor space from the perspective of shading.
Flexibility and Adaptation: Creating a Strategy for Resilience
Authors: Szemző Hanna , Mosquera Jorge , Polyák Levente , Hayes Lukács
Published: February 2022

Civil society actors engaged in social innovation supporting activities provide crucial services that address unmet social needs and empower communities. Yet, creating a resilient framework that not only supports their activities but helps to sustain them as an organization is often difficult. It necessitates resilience strategies that help them survive and overcome crises even without former institutionalization. The paper identifies three distinct strategies that can be followed: adaptability, diversification and ecosystem building. While all three represent different ways of resilience, the latest provides the most complex safety net, allowing bottom-up organizations and partnerships to share resources, develop complementary services and sustain social innovation. Choosing the time of the first COVID-19 pandemic and the ensuing lockdown for the analysis, the paper illustrates with eight selected case studies how these strategies enfold during a crisis. The paper analyses the activities of different civic initiatives, gauging their capacity to adapt flexibly to radically new situations. While doing so, it brings together the concept of social innovation and resilience and enriches resilience studies with a less frequently found focus on small, civic initiatives.
Urban Planning Impact on Mobility and Residential Satisfaction of Older People in Novi Sad
Authors: Dragičević Vladimir , Kopić Miloš , Matić Darinka Golubović , Grujičić Aleksandar
Published: February 2022

Social, political and economic changes have generated processes of revitalization of the built environment in post-socialist countries since the beginning of the 1990s; these changes are related to the physical structure of the city, its facilities and its functions, as well as the city landscape. Urban planning affects people’s quality of and way of life, as well as residential satisfaction with the built environment, especially that of older people, who make up a significant part of sustainable communities. This paper examines the residential satisfaction of older adults in terms of mobility—that is, their ability to move using facilities offered by public transportation and public places—in two neighborhoods of Novi Sad which have undergone the most extensive urban regeneration. This approach is different from the existing urban studies dealing with residential satisfaction, which makes it a contribution to the literature. Unlike previous studies—which have explored residential satisfaction at the level of accessibility to local facilities, safety in the urban environment and support from the environment—this paper also investigates the impact of movement in public space on the residential satisfaction of older people. The results show that the residential satisfaction of older people is low with regard to public transport, the arrangement of public spaces and traffic infrastructure.
Crisis Management and CSR in Slovenian Companies: The Impact of the COVID-19 Pandemic
Authors: Ursic Dusko , Cestar Andrej Smogavc
Published: February 2022

The main aim of this article was to outline how the appearance of COVID-19 changed the global competitiveness of Slovenian companies through the lenses of corporate social responsibility (CSR) and crisis management. Based on concepts of CSR and crisis management, we analyzed the responses of companies to ensure their competitiveness in a crisis situation. Two surveys among managers in Slovenian companies were carried out, one in March 2020 (N = 618) and the other in May 2020 (N = 486). Our results showed that internationally oriented companies responded more comprehensively and proactively to the challenges of doing business in the COVID-19 crisis compared to the companies that had operated mainly in the domestic market during this period. The analysis also showed that internationally oriented companies responded to the COVID-19 crisis with more comprehensive measures also using the concept of CSR and crisis management in comparison with companies that, in the time of the pandemic, operated mainly in the domestic market and used fewer principles of CSR and crisis management. The main theoretical implications of this survey are related to CSR development. They emphasize the interdependent importance of experience and impact in international business in connection with the concept of CSR and crisis management in times of COVID-19. Practical implications include proposals to streamline operations to maintain competitiveness and to take advantage of new business opportunities and effects, which are also encouraged through the use of the CSR concept and crisis management.
Web GIS for Sustainable Education: Towards Natural Disaster Education for High School Students
Authors: Li Jiaqi , Xia Haoming , Qin Yaochen , Fu Pinde , Guo Xuan , Li Rumeng , Zhao Xiaoyang
Published: February 2022

The rapid development of the web geographic information system (Web GIS) has promoted new vitality in high school geography education, relieved the stress of geography teachers caused by software and technical problems, and made it possible for teachers to devote more energy to geography teaching and research activities. Natural disaster education is not only an important part of the geography curriculum, but also an indispensable aspect of education for sustainable development (ESD) for high school students. The application of Web GIS in the dynamic monitoring, forecast, and early warning of natural disasters is becoming more experienced. Therefore, the application of Web GIS in natural disaster education is quite feasible. How to build a bridge between them is the purpose of this paper. Thus, the paper selects ArcGIS Online, which is not limited by time and space, and analyzes several functions that apply it to geography teaching. These include smart mapping, story maps, 3D web maps, and mobile GIS. Meanwhile, it analyzes the knowledge structure of “natural disasters” in Chinese geography textbooks to guide the subsequent case design. Then, the Web GIS inquiry-based teaching case is formed based on “7.20 Zhengzhou Torrential Rain”. It contains knowledge about natural disasters and designs from many aspects, such as the causes, manifestations, and prevention and control of disasters. The discussion identifies a range of specific educational benefits of applying Web GIS to natural disaster education for teachers and schools. Ultimately, it can provide some reference values for geography teachers and other developers to explore curriculum resources and create quality educational models.
Composition Optimization and Damping Performance Evaluation of Porous Asphalt Mixture Containing Recycled Crumb Rubber
Authors: Quan Enmao , Xu Hongke , Sun Zhongyang
Published: February 2022

Composition optimization of the asphalt mixture of pavement is one effective measures to reduce the harm of traffic noise. To improve the noise reduction effect of porous asphalt mixture (PAM) and promote the recycling of crumb rubber in highway engineering, the preparation parameters of high-viscosity modified asphalt for PAM were optimized in this study, and the mixture gradation was optimized based on the unbalance force and contact force of mixed aggregate. The effects of crumb rubber content and particle size on the damping performance and dynamic shear modulus of the mixture were studied. The effects of different preparation parameters on the performance of the PAM were comprehensively evaluated based on the orthogonal test, and preparation parameters of PAM were recommended. The results show that with the increase of crumb rubber content, the damping ratio of the mixed aggregate increases gradually. The addition of crumb rubber is conducive to improving the damping performance and toughness of the PAM, but it has an adverse impact on the bearing capacity. Under the condition of low strain, the damping ratio of the mixed aggregate containing 2–5 mm crumb rubber is 1.2–5 times that of the mixed aggregate containing 0.6–1 mm crumb rubber. The recommended optimum content of crumb rubber in PAM is 4%, and the optimum particle size of alternative aggregate is 2.36–4.75 mm. The significant factors affecting Marshall stability are rubber particle content, asphalt aggregate ratio, mixing temperature, compaction times, and forming temperature. The rational utilization of crumb rubber in PAM is of positive significance to promoting the green development of highway construction and the harmless treatment of waste resources.
Deep Learning-Based Defect Detection for Sustainable Smart Manufacturing
Authors: Park Sang-Hyun , Lee Kang-Hee , Park Ji-Su , Shin Youn-Soon
Published: February 2022

In manufacturing a product, product defects occur at several stages. This study makes the case that one can build a smart factory by introducing it into the manufacturing process of small-scale scarce products, which mainly solves the defect problem through visual inspection. By introducing an intelligent manufacturing process, defects can be minimized, and human costs can be lowered to enable sustainable growth. In this paper, in order to easily detect defects occurring in the manufacturing process, we studied a deep learning-based automatic defect detection model that can train product characteristics and determine defects using open sources. To verify the performance of this model, it was applied to the disposable gas lighter manufacturing process to detect the liquefied gas volume defect of the lighter, and it was confirmed that the detection accuracy and processing time were sufficient to apply to the manufacturing process.
Exploring Farmers’ Knowledge and Approaches for Reducing Post-Harvest Physiological Deterioration of Cassava Roots in Malawi
Authors: Masamba Kennedy , Changadeya Wisdom , Ntawuruhunga Pheneas , Pankomera Pilirani , Mbewe Willard , Chipungu Felistus
Published: February 2022

Cassava utilisation in Malawi is negatively affected by rapid deterioration of fresh roots, primarily caused by postharvest physiological deterioration (PPD). A study was conducted to assess farmers’ knowledge and approaches used to minimize losses from PPD. Multi-stage sampling was used to identify districts, Extension Planning Areas (EPA’s) and farmers. Data were collected from 519 farmers using a structured questionnaire. Results revealed that PPD (74.0%) was the major post-harvest constraint followed by pests and diseases (62.1%). Farmers had varying knowledge levels on signs and causes of PPD. They were knowledgeable on PPD signs with 91.5% ably identifying PPD through change of pulp colour. The farmers also had moderate knowledge on causes of PPD, citing high temperature (57.6%) and over-staying of roots (56.2%) as main causes of PPD. Key methods for preventing PPD are: storage (43.0%) and piece-meal harvesting (40.4%). Only 2.6% of the farmers exploited varietal difference in dealing with PPD as some varieties (Sauti, Mpuma, Ching’amba, and Kalasa) take three to five days before showing PPD signs. Farmers’ knowledge levels and PPD preventive methods could be strengthened through: provision of training on post-harvest handling, improvement in storage and processing technologies; and application of advanced breeding techniques to exploit genetic variation in cassava germplasm.
Enhancing Memorable Experiences, Tourist Satisfaction, and Revisit Intention through Smart Tourism Technologies
Authors: Torabi Zabih-Allah , Shalbafian Ali , Allam Zaheer , Ghaderi Zahed , Murgante Beniamino , Khavarian-Garmsir Amir
Published: February 2022

Global connectivity facilitated tourism and redefined economic landscapes, highlight an interest in better understanding tourism retention factors. Today, in view of the global COVID-19 pandemic, this is made even more important as the world prepares to lift lockdown restrictions and to re-engage in cross border circulation; reiterating needs to understand tourism satisfaction and revisit intentions. This study thus sheds light on the predictors of tourists’ intention to the explorative and exploitative use of Smart Tourism Technologies (STTs) and memorable experiences in tourism destinations via an integrated model and a self-administered questionnaire—distributed among domestic tourists visiting Tehran—employing the Theory of Planned Behavior (TPB). The results indicated that tourists’ attitudes, subjective norms, and perceived behavioral control toward STTs had significant positive impacts on their explorative and exploitative intentions. Furthermore, tourists’ explorative/exploitative intention and perceived behavioral control exercised significant, positive effects on their memorable experiences. Finally, the results demonstrate that tourists’ memorable experiences significantly influence their satisfaction and intention to revisit smart destinations. This study expands existing literature by exploring a new model for enhancing memorable experiences and revisit intention using STTs, and presents findings applicable to the city of Tehran, while adopting a model which can be replicated in other geographies looking at better understanding its tourism landscape. Finally, the results in this study can be helpful for both researchers and policy makers in their quest to rejuvenate local post-pandemic economies via tourism measures.
Competitive Improvement through Integrated Management of Sales and Operations
Authors: Apaolaza Unai , Orue Aitor , Lizarralde Aitor , Oyarbide-Zubillaga Aitor
Published: February 2022

Several authors agree on the importance of integrating sales and operations (S & OP) when it comes to improving the management of organisations. Thus, the relationship between S & OP can be critical from a competitive point of view, and therefore strategic. However, most of the literature on this topic focuses on the field of repetitive manufacturing. Consequently, this work aims to enhance the scarce literature related to S & OP in organisations that produce make-to-order (MTO). The present study is an analysis of cases of two industrial companies managed according to the theory of constraints. In both cases, the relationship between sales and operations was initially poor. Their approaches were mainly founded on their experience and intuition, as well as on simple data. The development of a new approach, integrating S & OP, has demonstrated the potential advantages of integrated management. As a result, we have identified some aspects of interest from a managerial perspective. Furthermore, we consider the findings of this study to be relevant to improving the competitiveness of this kind of organisation.
Correction: Liang, T.-C.; Peng, S.-H. Using Analytic Hierarchy Process to Examine the Success Factors of Autonomous Landscape Development in Rural Communities. Sustainability 2017, 9, 729
Authors: Liang Ta-Ching , Peng Szu-Hsien
Published: February 2022

The authors would like to make the following corrections about the published paper [...]
Tsunami Hazard Zone and Multiple Scenarios of Tsunami Evacuation Route at Jetis Beach, Cilacap Regency, Indonesia
Authors: Laksono Fx Anjar Tri , Widagdo Asmoro , Aditama Maulana Rizki , Fauzan Muhammad Rifky , Kovács János
Published: February 2022

The 2006 tsunami, throughout the Pangandaran to Cilacap Coast, resulted in 802 deaths and 1623 houses being destroyed. At Jetis beach, Cilacap Regency, 12 people died, and hundreds of houses were damaged. This area is a tourism destination, visited by hundreds of people per week. Therefore, this study aims to determine a tsunami hazard zone and the most effective evacuation route based on multiple factors and scenarios. The method of this study includes scoring, weighting, and overlaying the distance of the Jetis beach from the shoreline and the river, including the elevation and topography. The study results depict five levels of tsunami hazard zone at the Jetis beach: an area of high potential impact, moderately high, moderate, moderately low, and low. The southern Jetis beach is the most vulnerable area with regard to tsunamis, characterized by low elevation, proximity to the beach and rivers, and gentle slopes. The simulation results show the four fastest evacuation routes with the distance from the high-risk zone to the safe zone of around 683–1683 m. This study infers that the southern part of the Jetis beach, in the moderate to high impact zone, needs greater attention as it would suffer worst impact from a tsunami.
The Relevance of Intangible Cultural Heritage and Traditional Languages for the Tourism Experience: The Case of Ladin in South Tyrol
Authors: Lonardi Serena , Unterpertinger Yvonne
Published: February 2022

Cultural tourists have become increasingly interested in intangible cultural heritage and in minority, peripheral areas. This paper will focus on the ICH of minority communities, with a closer look at minority languages, considering the Ladin communities of South Tyrol (Italy). This study uses a qualitative methodology—16 semi-structured interviews with German- and Italian-speaking tourists in Val Pusteria, with a video presenting a real-life situation in Ladin. It reveals that, although culture is not the main motivation to travel to South Tyrol, tourists are fascinated by tangible and intangible aspects of the South Tyrolean culture, such as the architecture, traditional lifestyle, events, practices, dresses, and the language. What is particularly interesting is the role that cultural sustainability plays for the region: the successful maintenance of traditions, including the traditional languages—dialect and Ladin—are mentioned with affection. Tourism practitioners in Val Pusteria and the neighboring Ladin valleys should consider experiences in and with the Ladin language as fun and interesting for tourists but should also provide interpretational and educational support.
Research on Online Destination Image of Zhenjiang Section of the Grand Canal Based on Network Content Analysis
Authors: Yang Yan , Sha Chunfa , Su Wencheng , Donkor Edwin Kofi Nyefrer
Published: February 2022

The Zhenjiang section of the Grand Canal (ZGC) is an important part of the Grand Canal, which was listed on the World Heritage List in 2014. The purpose of this study is to analyze the projected image of the ZGC constructed by destination marketing organizations (DMO) in the WeChat official account (WOA) by using the network content analysis method to condense the image features of the ZGC on the Internet and to provide support for the brand image construction of the ZGC from the supply side. The results show that: (1) DMO pay more attention to the shipping traffic and generate less publicity regarding the literature and art of the ZGC; (2) the cognitive images that are widely promoted are river course and water transport; the emotional images in high-frequency words are less involved but are positive as a whole; (3) the brand image of the ZGC has a strong nostalgic characteristic; (4) more attention should be paid to the heritage sites in the Song Dynasty and near the river course and river outlet.
Recycling of 3D Printable Thermoplastic Cellulose-Composite
Authors: Immonen Kirsi , Metsä-Kortelainen Sini , Nurmio Juha , Tribot Amélie , Turpeinen Tuomas , Mikkelson Atte , Kalpio Tomi , Kaukoniemi Otto-Ville , Kangas Heli
Published: February 2022

3D printing enables sustainable product innovations through novel design, reduced use of materials, and local manufacturing. Sustainable 3D printing can further be realized using recyclable materials. Cellulose is an abundantly available renewable material. Modified celluloses, such as thermoplastic cellulose esters, are widely used in injection molding applications. The aim of this research was to study the properties of a cellulose-based composite (cellulose acetate propionate (CAP) polymer matrix with 20 wt. % microcellulose) in injection molding and granular extrusion-based 3D printing processes over multiple recycles. The impact of the processing methods on the composite’s properties were investigated. Both injection molded and 3D printed samples were ground with plastic grinding mill to particle sizes below 3 mm after each preparation stage and reused as such in the next process cycle. Morphology, mechanical and thermal properties, and material degradation were analyzed. The thermoplastic cellulose-based compound was found to be directly recyclable for both processes without the need for any additional compounding steps. The polymer matrix was able to withstand at least seven processing cycles without degradation. However, microcellulose was found to be more sensitive to thermal stress. The mechanical and thermal properties of the cellulose-based composites remained close to initial levels throughout.