bluuebunny/crossref_metadata_2025 huggingface dataset:
How Do Runners Experience Personalization of Their Training Scheme: The Inspirun E-Coach?
Authors: Janssen Mark , Goudsmit Jos , Lauwerijssen Coen , Brombacher Aarnout , Lallemand Carine , Vos Steven
Published: August 2020

Among runners, there is a high drop-out rate due to injuries and loss of motivation. These runners often lack personalized guidance and support. While there is much potential for sports apps to act as (e-)coaches to help these runners to avoid injuries, set goals, and maintain good intentions, most available running apps primarily focus on persuasive design features like monitoring, they offer few or no features that support personalized guidance (e.g., personalized training schemes). Therefore, we give a detailed description of the working mechanism of Inspirun e-Coach app and on how this app uses a personalized coaching approach with automatic adaptation of training schemes based on biofeedback and GPS-data. We also share insights into how end-users experience this working mechanism. The primary conclusion of this study is that the working mechanism (if provided with accurate data) automatically adapts training sessions to the runners’ physical workload and stimulates runners’ goal perception, motivation, and experienced personalization. With this mechanism, we attempted to make optimal use of the potential of wearable technology to support the large group of novice or less experienced runners and that by providing insight in our working mechanisms, it can be applied in other technologies, wearables, and types of sports.
Real-Time Wireless Platform for In Vivo Monitoring of Bone Regeneration
Authors: Blázquez-Carmona Pablo , Sanchez-Raya Manuel , Mora-Macías Juan , Gómez-Galán Juan Antonio , Domínguez Jaime , Reina-Romo Esther
Published: August 2020

For the monitoring of bone regeneration processes, the instrumentation of the fixation is an increasingly common technique to indirectly measure the evolution of bone formation instead of ex vivo measurements or traditional in vivo techniques, such as X-ray or visual review. A versatile instrumented external fixator capable of adapting to multiple bone regeneration processes was designed, as well as a wireless acquisition system for the data collection. The design and implementation of the overall architecture of such a system is described in this work, including the hardware, firmware, and mechanical components. The measurements are conditioned and subsequently sent to a PC via wireless communication to be in vivo displayed and analyzed using a developed real-time monitoring application. Moreover, a model for the in vivo estimation of the bone callus stiffness from collected data was defined. This model was validated in vitro using elastic springs, reporting promising results with respect to previous equipment, with average errors and uncertainties below 6.7% and 14.04%. The devices were also validated in vivo performing a bone lengthening treatment on a sheep metatarsus. The resulting system allowed the in vivo mechanical characterization of the bone callus during experimentation, providing a low-cost, simple, and highly reliable solution.
Performance Analysis of Millimeter-Wave UAV Swarm Networks under Blockage Effects
Authors: Jung Haejoon , Lee In-Ho
Published: August 2020

Due to their high mobility, unmanned aerial vehicles (UAVs) can offer better connectivity by complement or replace with the existing terrestrial base stations (BSs) in the mobile cellular networks. In particular, introducing UAV and millimeter wave (mmWave) technologies can better support the future wireless networks with requirements of high data rate, low latency, and seamless connectivity. However, it is widely known that mmWave signals are susceptible to blockages because of their poor diffraction. In this context, we consider macro-diversity achieved by the multiple UAV BSs, which are randomly distributed in a spherical swarm. Using the widely used channel model incorporated with the distance-based random blockage effects, which is proposed based on stochastic geometry and random shape theory, we investigate the outage performance of the mmWave UAV swarm network. Further, based on our analysis, we show how to minimize the outage rate by adjusting various system parameters such as the size of the UAV swarm relative to the distance to the receiver.
Sensor Fault-Tolerant Control Design for Magnetic Brake System
Authors: Patan Krzysztof , Patan Maciej , Klimkowicz Kamil
Published: August 2020

The purpose of the paper is to develop an efficient approach to fault-tolerant control for nonlinear systems of magnetic brakes. The challenging problems of accurate modeling, reliable fault detection and a control design able to compensate for potential sensor faults are addressed. The main idea here is to make use of the repetitive character of the control task and apply iterative learning control based on the observational data to accurately tune the system models for different states of the system. The proposed control scheme uses a learning controller built on a mixture of neural networks that estimate system responses for various operating points; it is then able to adapt to changing working conditions of the device. Then, using the tracking error norm as a sufficient statistic for detection of sensor fault, a simple thresholding technique is provided for verification of the hypothesis on abnormal sensor states. This also makes it possible to start the reconstruction of faulty sensor signals to properly compensate for the control of the system. The paper highlights the components of the complete iterative learning procedure including the system identification, fault detection and fault-tolerant control. Additionally, a series of experiments was conducted for the developed control strategy applied to a magnetic brake system to track the desired reference with the acceptable accuracy level, taking into account various fault scenarios.
Label-Free Electrochemical Biosensors for the Determination of Flaviviruses: Dengue, Zika, and Japanese Encephalitis
Authors: Khristunova Ekaterina , Dorozhko Elena , Korotkova Elena , Kratochvil Bohumil , Vyskocil Vlastimil , Barek Jiri
Published: August 2020

A highly effective way to improve prognosis of viral infectious diseases and to determine the outcome of infection is early, fast, simple, and efficient diagnosis of viral pathogens in biological fluids. Among a wide range of viral pathogens, Flaviviruses attract a special attention. Flavivirus genus includes more than 70 viruses, the most familiar being dengue virus (DENV), Zika virus (ZIKV), and Japanese encephalitis virus (JEV). Haemorrhagic and encephalitis diseases are the most common severe consequences of flaviviral infection. Currently, increasing attention is being paid to the development of electrochemical immunological methods for the determination of Flaviviruses. This review critically compares and evaluates recent research progress in electrochemical biosensing of DENV, ZIKV, and JEV without labelling. Specific attention is paid to comparison of detection strategies, electrode materials, and analytical characteristics. The potential of so far developed biosensors is discussed together with an outlook for further development in this field.
Two-Step Calibration Method for Inverse Finite Element with Small Sample Features
Authors: Xu Libo , Zhao Feifei , Du Jingli , Bao Hong
Published: August 2020

When the inverse finite element method (inverse FEM) is used to reconstruct the deformation field of a multi-element structure with strain measurements, strain measurement errors can lower the reconstruction accuracy of the deformation field. Furthermore, the calibration ability of a self-structuring fuzzy network (SSFN) is weak when few strain samples are used to train the SSFN. To solve this problem, a novel two-step calibration method for improving the reconstruction accuracy of the inverse FEM method is proposed in this paper. Initially, the errors derived from measured displacements and reconstructed displacements are distributed to the degrees of freedom (DOFs) of nodes. Then, the DOFs of nodes are used as knots, in order to produce non-uniform rational B-spline (NURBS) curves, such that the sample size employed to train the SSFN can be enriched. Next, the SSFN model is used to determine the relationship between the measured strain and the DOFs of the end nodes. A loading deformation experiment using a three-element structure demonstrates that the proposed algorithm can significantly improve the accuracy of reconstruction displacement.
Development and Validation of an Autonomous System for Measurement of Sunshine Duration
Authors: Rocha Álvaro B. da , Fernandes Eisenhawer de M. , Santos Carlos A. C. dos , Diniz Júlio M. T. , Junior Wanderley F. A.
Published: August 2020

This paper presented an autonomous electronic system for sunshine duration (SD) monitoring based on the contrast method and developed to operate on a horizontal surface. The prototype uses four photoresistors arranged at 90° in a 20 mm diameter circumference separated by a shading structure used to create a shadow pattern on the detection element. Photoresistors are inserted in individual signal conditioning circuits based on the association between Wheatstone bridges and operational amplifiers to provide an analog signal to the microcontroller unit. The determination of SD occurs through the implementation of fuzzy logic with numerical calculation methods to estimate the probability (f) of solar disk obstruction and estimate SD values. The system does not require additional adjustments after installation or use of energy sources for operation due to the use of an internal battery with charge recovery by solar panels. Experimental results of the proposed system were validated with the ones provided by a government meteorology station. Statistical analysis of the results showed a confidence index (c) greater than 90%, with a precision of 94.26%. The proposed system is a feasible low-cost solution to the available commercial systems for the measurement of sunshine duration.
Research on the Recognition Performance of Bionic Sensors Based on Active Electrolocation for Different Materials
Authors: Du Wenhao , Yang Yu’e , Liu Luning
Published: August 2020

Underwater object identification by optical sensors is usually difficult in turbid or dark environments. The objective of this paper was to identify different underwater materials using active electrolocation technology. We proposed a bionic sensor inspired by the weakly electric fish. The material identification was completed by analyzing electric signal images, since the electric signal changes when different materials are identified. Firstly, the effective lift-off distance for identification was researched. The materials used in this paper can be effectively identified by the sensor at a lift-off distance of 10 mm. Furthermore, the performance of the sensor for identifying and locating was studied in the presence of multiple materials. The results indicated that the sensor can effectively identify and locate the objects when the distance between objects is greater than 30 mm, while the location error is less than 5% in most cases. Our research proves that the bionic sensor we made can effectively recognize different materials underwater in short-range, which is about 10 mm. Therefore, we expect that the bionic sensor we made can be utilized as a useful tool for underwater object identification.
Designing and Implementing an Implantable Wireless Micromanometer System for Real-Time Bladder Pressure Monitoring: A Preliminary Study
Authors: Li Yu-Ting , Yang Ling-Yu , Hsu Wei-Ting , Peng Chih-Wei
Published: August 2020

Many mini-implantable devices have been developed and fabricated for diagnostic and treatment purposes. Wireless implantable biomicrosystems provide a desirable approach for long-term physiological signal monitoring. In this study, we implemented a wireless implantable biomicrosystem for bladder-cavity pressure measurements in a freely moving rabbit. To manage the power more effectively, a magnetic reed switch was applied to turn on/off the implantable module using a neodymium–iron–boron (NdFeB) magnet. The measured bladder pressure signal was wirelessly transmitted from the implantable module to a host unit. Our results indicated that the implantable biomicrosystem exhibited satisfactory performance and safety, as evidenced by an error percentage of less than ±1% for pressure measurements and less than 2 °C of a temperature rise under normal operation. The wireless biomicrosystem was implanted into the bladder cavity of a rabbit. Bladder pressure was simultaneously measured by both the biomicrosystem and conventional cystometry in the animal. The two signals were similar during the voiding phase, with a correlation coefficient of 0.885. Additionally, the biomicrosystem coated with polydimethylsiloxane in this study showed no cytotoxicity, which confirmed its biocompatibility. In conclusion, we demonstrated a good biocompatible wireless biomicrosystem which showed good reproducibility with respect to pressure monitoring by conventional cystometry. Further studies are needed to confirm the results of this preliminary feasibility study for actual clinical applications.
Using the Redundant Convolutional Encoder–Decoder to Denoise QRS Complexes in ECG Signals Recorded with an Armband Wearable Device
Authors: Reljin Natasa , Lazaro Jesus , Hossain Md Billal , Noh Yeon Sik , Cho Chae Ho , Chon Ki H.
Published: August 2020

Long-term electrocardiogram (ECG) recordings while performing normal daily routines are often corrupted with motion artifacts, which in turn, can result in the incorrect calculation of heart rates. Heart rates are important clinical information, as they can be used for analysis of heart-rate variability and detection of cardiac arrhythmias. In this study, we present an algorithm for denoising ECG signals acquired with a wearable armband device. The armband was worn on the upper left arm by one male participant, and we simultaneously recorded three ECG channels for 24 h. We extracted 10-s sequences from armband recordings corrupted with added noise and motion artifacts. Denoising was performed using the redundant convolutional encoder–decoder (R-CED), a fully convolutional network. We measured the performance by detecting R-peaks in clean, noisy, and denoised sequences and by calculating signal quality indices: signal-to-noise ratio (SNR), ratio of power, and cross-correlation with respect to the clean sequences. The percent of correctly detected R-peaks in denoised sequences was higher than in sequences corrupted with either added noise (70–100% vs. 34–97%) or motion artifacts (91.86% vs. 61.16%). There was notable improvement in SNR values after denoising for signals with noise added (7–19 dB), and when sequences were corrupted with motion artifacts (0.39 dB). The ratio of power for noisy sequences was significantly lower when compared to both clean and denoised sequences. Similarly, cross-correlation between noisy and clean sequences was significantly lower than between denoised and clean sequences. Moreover, we tested our denoising algorithm on 60-s sequences extracted from recordings from the Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) arrhythmia database and obtained improvement in SNR values of 7.08 ± 0.25 dB (mean ± standard deviation (sd)). These results from a diverse set of data suggest that the proposed denoising algorithm improves the quality of the signal and can potentially be applied to most ECG measurement devices.
Analysis and Comparison of Rad-Hard Ring and LC-Tank Controlled Oscillators in 65 nm for SpaceFibre Applications
Authors: Monda Danilo , Ciarpi Gabriele , Saponara Sergio
Published: August 2020

This work presented a comparison between two Voltage Controlled Oscillators (VCOs) designed in 65 nm CMOS technology. The first architecture based on a Ring Oscillator (RO) was designed using three Current Mode Logic (CML) stages connected in a loop, while the second one was based on an LC-tank resonator. This analysis aimed to choose a VCO architecture able to be integrated into a rad-hard Phase Locked Loop. It had to meet the requirements of the SpaceFibre protocol, which supports frequencies up to 6.25 GHz, for space applications. The full custom schematic and layout designs are shown, and Single Event Effect simulations results, performed with a double exponential current pulses generator, are presented in detail for both VCOs. Although the RO-VCO performances in terms of technology scaling and high-integration density were attractive, the simulations on the process variations demonstrated its inability to generate the target frequency in harsh operating conditions. Instead, the LC-VCO highlighted a lower influence through Process-Voltage-Temperature simulations on the oscillation frequency. Both architectures were biased with a supply voltage of 1.2 V. The achieved results for the second architecture analyzed were attractive to address the requirements of the new SpaceFibre aerospace standard.
Low-Light Image Brightening via Fusing Additional Virtual Images
Authors: Yang Yi , Li Zhengguo , Wu Shiqian
Published: August 2020

Capturing high-quality images via mobile devices in low-light or backlighting conditions is very challenging. In this paper, a new, single image brightening algorithm is proposed to enhance an image captured in low-light conditions. Two virtual images with larger exposure times are generated to increase brightness and enhance fine details of the underexposed regions. In order to reduce the brightness change, the virtual images are generated via intensity mapping functions (IMFs) which are computed using available camera response functions (CRFs). To avoid possible color distortion in the virtual image due to one-to-many mapping, a least square minimization problem is formulated to determine brightening factors for all pixels in the underexposed regions. In addition, an edge-preserving smoothing technique is adopted to avoid noise in the underexposed regions from being amplified in the virtual images. The final brightened image is obtained by fusing the original image and two virtual images via a gradient domain guided image filtering (GGIF) based multiscale exposure fusion (MEF) with properly defined weights for all the images. Experimental results show that the relative brightness and color are preserved better by the proposed algorithm. The details in bright regions are also preserved well in the final image. The proposed algorithm is expected to be useful for computational photography on smart phones.
Knowledge Distillation for Semantic Segmentation Using Channel and Spatial Correlations and Adaptive Cross Entropy
Authors: Park Sangyong , Heo Yong Seok
Published: August 2020

In this paper, we propose an efficient knowledge distillation method to train light networks using heavy networks for semantic segmentation. Most semantic segmentation networks that exhibit good accuracy are based on computationally expensive networks. These networks are not suitable for mobile applications using vision sensors, because computational resources are limited in these environments. In this view, knowledge distillation, which transfers knowledge from heavy networks acting as teachers to light networks as students, is suitable methodology. Although previous knowledge distillation approaches have been proven to improve the performance of student networks, most methods have some limitations. First, they tend to use only the spatial correlation of feature maps and ignore the relational information of their channels. Second, they can transfer false knowledge when the results of the teacher networks are not perfect. To address these two problems, we propose two loss functions: a channel and spatial correlation (CSC) loss function and an adaptive cross entropy (ACE) loss function. The former computes the full relationship of both the channel and spatial information in the feature map, and the latter adaptively exploits one-hot encodings using the ground truth labels and the probability maps predicted by the teacher network. To evaluate our method, we conduct experiments on scene parsing datasets: Cityscapes and Camvid. Our method presents significantly better performance than previous methods.
Effectiveness Evaluation of Section Speed Control in Czech Motorway Work Zones
Authors: Ambros Jiří , Turek Richard , Elgner Jan , Křivánková Zuzana , Valentová Veronika
Published: August 2020

The goal of section speed control is to increase speed limit compliance in the monitored road sections, decrease speed variance and improve traffic safety. General experience with section speed control on motorways is positive, with significant improvements in both speed and safety performance. The presented study focused on a unique application of section speed control in motorway work zones in the Czech Republic. Effectiveness was monitored (in terms of average speed, speeding and accident rates) in three sections and four time periods (normal operation, work zone, work zone with section speed control, normal operation), which allowed discerning individual effects of work zone and section speed control. In addition, a novel data source—floating car data—was used. Work zones were found to increase accident rates compared to normal operation and decrease with the introduction of section speed control. The effects on average speed, speed variance and speeding were positive, although smaller compared to the studies conducted in non-work zone conditions.
Antiviral Activity of Ivermectin Against SARS-CoV-2: An Old-Fashioned Dog with a New Trick—A Literature Review
Authors: Mudatsir Mudatsir , Yufika Amanda , Nainu Firzan , Frediansyah Andri , Megawati Dewi , Pranata Agung , Mahdani Wilda , Ichsan Ichsan , Dhama Kuldeep , Harapan Harapan
Published: August 2020

The coronavirus disease 2019 (COVID-19) pandemic is a major global threat. With no effective antiviral drugs, the repurposing of many currently available drugs has been considered. One such drug is ivermectin, an FDA-approved antiparasitic agent that has been shown to exhibit antiviral activity against a broad range of viruses. Recent studies have suggested that ivermectin inhibits the replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), thus suggesting its potential for use against COVID-19. This review has summarized the evidence derived from docking and modeling analysis, in vitro and in vivo studies, and results from new investigational drug protocols, as well as clinical trials, if available, which will be effective in supporting the prospective use of ivermectin as an alternative treatment for COVID-19.
Effect of Irrigation Systems and Soil Conditioners on the Growth and Essential Oil Composition of Rosmarinus officinalis L. Cultivated in Egypt
Authors: Omer Elsayed , Hendawy Saber , ElGendy Abdel Nasser , Mannu Alberto , Petretto Giacomo L. , Pintore Giorgio
Published: August 2020

A relevant improvement of the cultivar conditions of Rosmarinus officinalis L. in desert areas was achieved by a specific combination between an irrigation system and soil conditioner. A drastic reduction in water employment was obtained without affecting the quality of the plants, which was determined by monitoring the growth parameters and essential oil characteristics. In particular, the effect of surface and subsurface drip irrigation systems and different soil conditioners on the growth parameters, yield, and essential oil constituents of rosemary plants was assessed. Field experiments at the Agricultural Research Station (Al-Adlya farm), SEKEM Group Company, El-Sharkiya Governorate, Egypt, conducted over the two seasons, revealed the effectiveness of subsurface irrigation systems in obtaining better performances, especially in terms of saving water. The combination of subsurface irrigation and the conditioner HUNDZ soil with bentonite showed the maximum mean values of growth characteristics compared with other soil amendments during both seasons. The possibility to employ a water-saving irrigation system at the subsurface level without any drawback in the resulting plants was also explored in terms of molecular composition. Gas chromatography-mass (GC-MS) analysis of the essential oils extracted from plants grown under different irrigation conditions revealed a comparable composition in both cases. The quality of the system that showed the best performance was also confirmed by the comparable yield of the essential oil.
Generalized Framework for the Design of Eco-Industrial Parks: Case Study of End-of-Life Vehicles
Authors: Al-Quradaghi Shimaa , Zheng Qipeng P. , Elkamel Ali
Published: August 2020

Eco-industrial parks (EIPs) are promoting a shift from the traditional linear model to the circular model, where industrial symbiosis plays an important role in encouraging the exchange of materials, energy, and waste. This paper proposes a generalized framework to design eco-industrial parks, and illustrates it with regard to the end-of-life vehicle problem (ELV). An eco-industrial park for end-of-life vehicles (EIP-4-ELVs) creates synergy in the network that leverages waste reduction and efficiently uses resources. The performance of the proposed framework is investigated along with the interactions between nodes. The proposed framework consists of five steps: (1) finding motivation for EIP, (2) identifying all entities with industrial symbiosis, (3) pinpointing the anchor entity, (4) determining industrial symbiosis between at least three entities and two exchange flows, and (5) defining exchange-flow types. The two last steps are connected by a feedback loop to allow future exchange flows. The proposed framework serves as a guideline for decision makers during the first stages of developing EIPs. Furthermore, the framework can be linked to car-design software to predict the recyclability of vehicle components and aid in manufacturing vehicles optimized for recycling.
Conducting an Evaluation Framework for Disaster Management under Adaptive Organization Change in a School System
Authors: Wang Yung-Chieh , Lin Shyang-Woei , Lee Chun-Hung
Published: August 2020

This long-term study established a sustainable and resilient framework for enhancing organizational capacity and adaptability, based on adaptive thinking, for a school disaster prevention system (SDPS) for academic institutions located in a potential natural disaster area. Due to the movement of continental plates and the effects of tropical depressions, disasters occur frequently in Taiwan. We established a conceptual framework under aspects of organizational resilience for a SDPS for school institutions located in a potential disaster area under a choice experiment (CE) framework. We then evaluated the heterogeneity of staff perspectives on an adaptive disaster-mitigation program, as revealed by their preferences and estimated the marginal effects associated with various potential scenarios for such a program. We found that integrating stakeholder concerns about environmental issues, cooperating with local government drills, providing training to be disaster relief volunteers and cooperating with local government to implement disaster-prevention and protection projects were all valid program characteristics. This study also confirmed the existence of heterogeneity in the preferences of participants for adaptive management in SDPS context, as evidenced by their willing attitudes toward participation in education and training courses, participation in implementing disaster prevention and protection projects and undergoing training to be disaster relief volunteers. Specifically, the potential disaster prevention transformation program embodying these features was associated with the highest marginal willingness to work (MWTW). These outcomes can assist in the development and implementation of evaluation frameworks for organization-based management strategies in the context of SDPS.
Assessment of Water Buffalo Milk and Traditional Milk Products in a Sustainable Production System
Authors: Becskei Zsolt , Savić Mila , Ćirković Dragan , Rašeta Mladen , Puvača Nikola , Pajić Marija , Đorđević Sonja , Paskaš Snežana
Published: August 2020

Water buffalo (Bubalus bubalis) conservation in Serbia is under an in situ program, but additional efforts are needed to ensure the development of this animal’s genetic resources biodiversity. This research aims to describe challenges and possible strategies for sustainable water buffalo milk production. In this study, the physicochemical characteristics of buffalo milk and buffalo dairy products (cheese, butter, and kajmak) were determined. Furthermore, amino and fatty acids composition and the related health lipid indices (atherogenic and thrombogenic) were assessed. The findings support the fact that buffalo milk is a reliable source of high-quality nutrients (dry matter: 16.10%, fat: 6.02%, protein: 4.61%). Leucine, lysine, and valine content were found to be high in buffalo milk and cheese. A substantial quantity of non-essential glutamic and aspartic amino acids was observed in milk, as well as glutamic acid and tyrosine in cheese. It was established that milk protein of buffalo cheese had a favorable proportion of essential and non-essential amino acids (61.76%/38.24%). The results revealed significant differences (p < 0.05) in fatty acid profiles among the three dairy products for saturated short-chain, n-3, and n-6 fatty acids. Conversely, no significant difference (p < 0.05) was observed in monounsaturated fatty acids content. Kajmak showed the most favorable anti-atherogenic and anti-thrombogenic properties due to lower saturated and higher polyunsaturated fatty acid content. These results confirmed that buffalo milk could be successfully used in producing high-quality traditional dairy products with added value and beneficial characteristics from the aspect of a healthy diet. Furthermore, it could actively contribute to the promotion of sustainable production of buffaloes and strengthen the agricultural production of rural areas and their heritage.
New Forms of Social Learning in Mediterranean Higher Engineering Education: Change Lab for Gender Equality Transformation, Methodology, Design Principles
Authors: Zabaniotou Anastasia
Published: August 2020

Educating students to understand the dynamics of complex systems and acting with responsibility and equality in their professional/private life is pivotal. Implementing social changes in higher engineering education institutions is a challenge. This work is grounded empirically in the tailored practices of the gender equality Change Lab embedded in the network of Mediterranean engineering schools, which is a collective organizational integrity. We used action research and practical learning in our methodology. Design principles are provided, and methodological setup is included. We advocate that in order to mainstream gender equality, develop structures, and overcome some of the known limitations, we need to have conceptual clarity, well-targeted interventions, reflexivity, and empirical evidence. Moving from separate bureaucratic centrally-managed higher education institutions to interconnected networks that can organize self-assembling collaboration in the form of labs, with mutually beneficial partnerships contemplating social innovations, can challenge the melting of the traditional boundaries towards inclusive education. This can be done amidst university reforms conducive to such a transformation. Particular attention is paid to the role of HORIZON 2020 Taking a Reflexive Approach to Gender Equality for Institutional Transformation (TARGET) project in conceptualizing gender equality learning and system change in Mediterranean engineering schools.
Transforming Unused Spaces in a Shrinking City through Individuals’ Spontaneous Occupation Activities: The Case of Janghang, South Korea
Authors: Lee Jin-Wook
Published: August 2020

This study examines individual occupancy of unused space from an urban management perspective. It also identifies measures for sustainable city management by exploring the changes in unused space and relationships between various stakeholders based on personal occupancy processes. The target area of this study is Janghang, which has been characterized by population decline and economic recession over the past decade. Participants were recruited through snowball sampling and informal interviews, and data were analyzed using the open coding method. The results of the study show that unused space was occupied for various purposes such as to harvest food, pursue leisure activities, and alleviate the adverse effects of spaces remaining unused for extensive periods. The results identified owners, occupants, public organizations, and neighborhoods as stakeholders in unused spaces. Moreover, the neglected unused space was maintained as a managed space through tacit consent as well as flexible negotiation and stakeholders’ collective consciousness. Agreement and coordination among stakeholders and the physical environment of the unused space are crucial factors in managing unused space and landscapes because of the differences between landowners and occupants in a shrinking city.
The Sustainable Development Goals (SDGs) as a Basis for Innovation Skills for Engineers in the Industry 4.0 Context
Authors: Muñoz-La Rivera Felipe , Hermosilla Pamela , Delgadillo Jean , Echeverría Dayan
Published: August 2020

Teaching methods for calculation and project development, focusing on theoretical principles and the reproduction of validated procedures, has been the traditional focus of engineering education. Innovation has been present in universities, mainly in the creation of processes and technologies for the development of products, services, or companies, based on entrepreneurship. Training in innovation has been limited to interested students, and not encouraged for all students, despite how relevant it is for current and future global development. According to the literature research and the opinion of the experts, this research identifies the characteristics of innovation that engineering students should acquire, in response to the challenges of engineering in the 21st century, considering as a basis the Sustainable Development Goals (SDGs), in the context of the increasingly demanding requirements of industry 4.0. The identification of the relevant aspects in innovation were categorized according to the expertise and academic performance of the authors. In addition to this, the investigation of the representative elements of Industry 4.0, and the incorporation of Sustainable Development Goals, establish the basis of this study to guide the development of innovation skills in the process of engineering student education. Furthermore, in order to integrate innovation skills, elements of Industry 4.0 and aspects of Sustainable Development Goals, the concept of competence is introduced, with a conceptual structure that considers knowledge, attitude and performance context, thus this research provides a conceptual framework for those interested in constructing innovation skills in engineering, oriented towards the development of an innovation culture and mentality, as part of the expected professional performance.
Land Cover Changes from 1990 to 2019 in Papua, Indonesia: Results of the Remote Sensing Imagery
Authors: Letsoin Sri Murniani Angelina , Herak David , Rahmawan Fajar , Purwestri Ratna Chrismiari
Published: August 2020

Long-term land cover changes play a significant driver of ecosystem and function of natural biodiversity. Hence, their analysis can be used for evaluating and supporting government plans, especially conservation and management of natural habitats such as sago palm. In Papua Province of Indonesia, sago palm has been stated as one of the priority plants in the Medium-Term Development Plan (R.P.J.M.). However, limited studies have examined this palm in one of the Regencies of Papua Province, namely, Merauke Regency. In this study, we performed remotely sensed data imagery and supervised classification to produce land cover maps from 1990 to 2019. During the study period, twenty-one land cover classes were identified. The six classes of the natural forest consist of primary dryland forest, secondary dryland forest, primary mangrove forest, secondary mangrove forest, primary swamp forest, and secondary swamp forest; thus, fifteen classes of non-forested area. Concerning the sago palm habitat, our study evaluated two different categories (1) based on the land cover scheme from the Ministry of Environment and Forestry and (2) according to the peatland land cover ecosystem in Papua. Based on paired samples t-test, the result indicated statistically significant changes specifically at primary dryland (p-value = 0.015), grassland (p-value = 0.002) and swamp (p-value = 0.007). Twelve from 20 districts of Merauke Regency tend to lose the forecasted natural habitat of the sago palm. Therefore, this study suggests the further need to recognize and estimate the yield of sago palm area in these various ecosystems.
Collective Responses to the 2018 Water Shortage in Cape Town: An Explorative Qualitative Study
Authors: Eid Jarle , Øyslebø Tuva Emilie
Published: August 2020

In 2018, the Western Cape region in South Africa experienced a significant drought. At a certain date termed “Day Zero”, it was projected that about 3.7 million people in the City of Cape Town would run out of water. In this qualitative study, we provide a context for the situation and explore how a group of individual residents interpreted and adapted to the situation by changing their norms in order to preserve water. A systematic text condensation identified three superordinate themes that captured essential aspects of how the informants interpreted the situation and mobilized to cope with the environmental crisis. Three core processes are exemplified with direct statements from the informants. Specifically, these were labeled “making sense of the situation”, “taking part in the action” and “looking to the future”. The interview data suggest that the water shortage emerged as a significant existential experience transcending personal norms, mobilizing action, and reminding the informants about an uncertain future. The findings from this study may inform future research on pro-environmental action and sustainability.
How Do Manufacturing Enterprises Construct E-Commerce Platforms for Sustainable Development? A Case Study of Resource Orchestration
Authors: Hu Jingbo , Ouyang Taohua , Wei William X. , Cai Jiawei
Published: August 2020

The existing literatures mainly focus on the pricing, strategic significance and sustainable development characteristics of the e-commerce platform, and lack deep research on mechanisms in the process of construction like main structure of recourses and driving force. This paper takes Haier as a Chinese example and explores how manufacturing enterprises create and develop the sustainable e-commerce platform. The research findings show that: (1) An e-commerce platform respectively carries the functions of sales channels, service differences and innovation incubation in different stages of the manufacturing enterprises’ sustainable development; (2) For managing e-commerce platform of manufacturing enterprises’ sustainable development, resource orchestration can effectively realize the integration of value creation and resource; (3) Finally, it further reveals that the driving power which resource orchestration continuously promotes for the sustainable e-commerce platforms to construct is from the co-creation value of manufacturers and users. This paper discusses the structure of e-commerce platforms based on the main characteristics of each resource, and systematically explores the mechanism and evolutionary driving force of resource orchestration to promote the construction of e-commerce platforms for the sustainable development. It complements and enriches the innovation ecosystem and resource orchestration theory, providing significant practical guidance to the sustainable development of manufacturing enterprises.
Zearalenone and Metabolites in Livers of Turkey Poults and Broiler Chickens Fed with Diets Containing Fusariotoxins
Authors: Tardieu Didier , Travel Angelique , Metayer Jean-Paul , Le Bourhis Celeste , Guerre Philippe
Published: August 2020

Zearalenone (ZEN) and metabolites were measured in livers of turkeys and broilers fed a control diet free of mycotoxins, a diet that contained 0.5 mg/kg ZEN (ZEN diet), and a diet that contained 0.5, 5, and 20 mg/kg of ZEN, fumonisins, and deoxynivalenol, respectively (ZENDONFB diet). The feed was individually distributed to male Grade Maker turkeys from the 55th to the 70th day of age and to male Ross chickens from the 1st to the 35th day of age, without any signs of toxicity. Together, the free and conjugated forms of ZEN, α- and β-zearalenols (ZOLs), zearalanone (ZAN), and α- and β-zearalanols (ZALs) were measured by UHPLC-MS/MS with [13C18]-ZEN as an internal standard and immunoaffinity clean-up of samples. ZAN and ZALs were not detected. ZEN and ZOLs were mainly found in their conjugated forms. α-ZOL was the most abundant and was found at a mean concentration of 2.23 and 1.56 ng/g in turkeys and chickens, respectively. Consuming the ZENDONFB diet significantly increased the level of total metabolites in the livers of chickens. Furthermore, this increase was more pronounced for the free forms of α-ZOL than for the conjugated forms. An investigation of the presence of ZEN and metabolites in muscle with the methods validated for the liver failed to reveal any traces of these contaminants in this tissue. These results suggest that concomitant dietary exposure to deoxynivalenol (DON) and fumonisins (FB) may alter the metabolism and persistence of ZEN and its metabolites in the liver.
Trust as a Determinant Factor for Condom Use among Female Sex Workers in Bali, Indonesia
Authors: Januraga Pande Putu , Gesesew Hailay Abrha , Ward Paul R.
Published: August 2020

Female sex workers (FSWs) decision to use or not to use condoms depends on several issues, including the decision to trust their client or not, a matter given little attention in previous research. This paper explores the role of trust in consistent condom use among FSWs. We used a cross-sectional survey among FSWs in Bali, Indonesia. The outcome variable for this study was condom use, and independent variables included sociodemographic characteristics, psychosocial factors, social capital dimensions and HIV prevention practices. In total, 406 FSWs participated in the study. Of these, 48% of FSWs used condoms consistently with paying clients over the last month. The following FSWs were less likely to consistently use condoms with clients: FSWs who did not trust that their peer FSWs will use condoms (AOR = 9.3, 95% CI, 3.3–26.2), FSWs who did not feel valued by the people at their location (AOR = 3.9, 95% CI, 1.4–11.6), FSWs who did not graduate from primary or never went to school (AOR = 2.4, 95% CI, 1.03–5.6), and FSWs who have worked more than five years as FSWs (AOR = 5.8, 95% CI, 1.2–29.2). Our results highlight higher rates of inconsistent condom use related to lower trust and feelings of being valued between FSWs, identifying areas for policy and practice attention.
Rabbit Hemorrhagic Disease Virus Isolated from Diseased Alpine Musk Deer (Moschus sifanicus)
Authors: Bao Shijun , An Kai , Liu Chunguo , Xing Xiaoyong , Fu Xiaoping , Xue Huiwen , Wen Fengqin , He Xijun , Wang Jingfei
Published: August 2020

Rabbit hemorrhagic disease virus (RHDV) is the causative agent of rabbit hemorrhagic disease (RHD), and its infection results in mortality of 70–90% in farmed and wild rabbits. RHDV is thought to replicate strictly in rabbits. However, there are also reports showing that gene segments from the RHDV genome or antibodies against RHDV have been detected in other animals. Here, we report the detection and isolation of a RHDV from diseased Alpine musk deer (Moschussifanicus). The clinical manifestations in those deer were sudden death without clinical signs and hemorrhage in the internal organs. To identify the potential causative agents of the disease, we used sequence independent single primer amplification (SISPA) to detect gene segments from viruses in the tissue samples collected from the dead deer. From the obtained sequences, we identified some gene fragments showing very high nucleotide sequence similarity with RHDV genome. Furthermore, we identified caliciviral particles using an electron microscope in the samples. The new virus was designated as RHDV GS/YZ. We then designed primers based on the genome sequence of an RHDV strain CD/China to amplify and sequence the whole genome of the virus. The genome of the virus was determined to be 7437 nucleotides in length, sharing the highest genome sequence identity of 98.7% with a Chinese rabbit strain HB. The virus was assigned to the G2 genotype of RHDVs according to the phylogenetic analyses based on both the full-length genome and VP60 gene sequences. Animal experiments showed that GS/YZ infection in rabbits resulted in the macroscopic and microscopic lesions similar to that caused by the other RHDVs. This is the first report of RHDV isolated from Alpine musk deer, and our findings extended the epidemiology and host range of RHDV.
Cross-Protection of Hepatitis B Vaccination among Different Genotypes
Authors: Inoue Takako , Tanaka Yasuhito
Published: August 2020

Hepatitis B (HB) vaccination is the most effective method for preventing HB virus (HBV) infection. Universal HB vaccination containing recombinant HB surface antigens (HBsAg) is recommended. Our data revealed that human monoclonal HB surface antibody (anti-HBs) from individuals inoculated with genotype C-based HB vaccine induced cross-protection against HBV genotype A infection. An in vitro infection model demonstrated anti-HBs-positive sera from individuals inoculated with genotype A- or C-based HB vaccine harbored polyclonal anti-HBs that could bind to non-vaccinated genotype HBV. However, because there were low titers of anti-HBs specific for HBsAg of non-vaccinated genotype, high anti-HBs titers would be required to prevent non-vaccinated genotype HBV infection. Clinically, the 2015 Centers for Disease Control and Prevention guidelines state that periodic monitoring of anti-HBs levels after routine HB vaccination is not needed and that booster doses of HB vaccine are not recommended. However, the American Red Cross suggests that HB-vaccine-induced immune memory might be limited; although HB vaccination can prevent clinical liver injury (hepatitis), subclinical HBV infections of non-vaccinated genotypes resulting in detectable HB core antibody could not be completely prevented. Therefore, monitoring anti-HBs levels after routine vaccination might be necessary for certain subjects in high-risk groups.
Honey as a Source of Environmental DNA for the Detection and Monitoring of Honey Bee Pathogens and Parasites
Authors: Ribani Anisa , Utzeri Valerio Joe , Taurisano Valeria , Fontanesi Luca
Published: August 2020

Environmental DNA (eDNA) has been proposed as a powerful tool to detect and monitor cryptic, elusive, or invasive organisms. We recently demonstrated that honey constitutes an easily accessible source of eDNA. In this study, we extracted DNA from 102 honey samples (74 from Italy and 28 from 17 other countries of all continents) and tested the presence of DNA of nine honey bee pathogens and parasites (Paenibacillus larvae, Melissococcus plutonius, Nosema apis, Nosema ceranae, Ascosphaera apis,Lotmaria passim, Acarapis woodi, Varroa destructor, and Tropilaelaps spp.) using qualitative PCR assays. All honey samples contained DNA from V. destructor, confirming the widespread diffusion of this mite. None of the samples gave positive amplifications for N. apis, A. woodi, and Tropilaelaps spp. M. plutonius was detected in 87% of the samples, whereas the other pathogens were detected in 43% to 57% of all samples. The frequency of Italian samples positive for P. larvae was significantly lower (49%) than in all other countries (79%). The co-occurrence of positive samples for L. passim and A. apis with N. ceranae was significant. This study demonstrated that honey eDNA can be useful to establish monitoring tools to evaluate the sanitary status of honey bee populations.