bluuebunny/crossref_metadata_2025 huggingface dataset:
Solar Panel Detection within Complex Backgrounds Using Thermal Images Acquired by UAVs
Authors: Vega Díaz Jhon Jairo , Vlaminck Michiel , Lefkaditis Dionysios , Orjuela Vargas Sergio Alejandro , Luong Hiep
Published: November 2020

The installation of solar plants everywhere in the world increases year by year. Automated diagnostic methods are needed to inspect the solar plants and to identify anomalies within these photovoltaic panels. The inspection is usually carried out by unmanned aerial vehicles (UAVs) using thermal imaging sensors. The first step in the whole process is to detect the solar panels in those images. However, standard image processing techniques fail in case of low-contrast images or images with complex backgrounds. Moreover, the shades of power lines or structures similar to solar panels impede the automated detection process. In this research, two self-developed methods are compared for the detection of panels in this context, one based on classical techniques and another one based on deep learning, both with a common post-processing step. The first method is based on edge detection and classification, in contrast to the second method is based on training a region based convolutional neural networks to identify a panel. The first method corrects for the low contrast of the thermal image using several preprocessing techniques. Subsequently, edge detection, segmentation and segment classification are applied. The latter is done using a support vector machine trained with an optimized texture descriptor vector. The second method is based on deep learning trained with images that have been subjected to three different pre-processing operations. The postprocessing use the detected panels to infer the location of panels that were not detected. This step selects contours from detected panels based on the panel area and the angle of rotation. Then new panels are determined by the extrapolation of these contours. The panels in 100 random images taken from eleven UAV flights over three solar plants are labeled and used to evaluate the detection methods. The metrics for the new method based on classical techniques reaches a precision of 0.997, a recall of 0.970 and a F1 score of 0.983. The metrics for the method of deep learning reaches a precision of 0.996, a recall of 0.981 and a F1 score of 0.989. The two panel detection methods are highly effective in the presence of complex backgrounds.
An Efficient Coded Streaming Using Clients’ Cache
Authors: Ban Tae-Won , Lee Woongsup , Ryu Jongyeol
Published: November 2020

As multimedia traffic has been increasing and is expected to grow more sharply, various technologies using caches have been attracting lots of attention. As one breakthrough technology to deal with the explosively growing traffic, exclusive OR (XOR)-based index coding has been widely investigated because it can greatly enhance the efficiency of network resource by reducing the number of transmissions. In this paper, we investigate how to apply XOR-based index coding to large-scaled practical streaming systems for video traffic that accounts for more than 70% of total Internet traffic. Contrary to most previous studies that have focused on theoretical analysis of optimal performance or development of optimal index coding schemes, our study proposes a new XOR coding-based video streaming (XC). We also propose a new grouping algorithm for creating XC groups while guaranteeing the complete backward compatibility of XC with existing streaming schemes such as unicast (UC), multicast (MC), and broadcast (BC). The performance of the proposed scheme is analyzed in two steps. First, the behavior of video contents in caches at clients is modeled as a Markov chain, and the steady-state probabilities and caching probabilities for each piece of video content are derived. Based on the probabilities, the performance of the proposed system is then analyzed in terms of the average number of connections that each client requires in order to receive one video content. Our numerical results show that the proposed video streaming scheme using XC can reduce the average number of transmissions by up to 18%, compared to the conventional scheme.
Automatic Extraction of Power Cables Location in Railways Using Surface LiDAR Systems
Authors: Gutiérrez-Fernández Alexis , Fernández-Llamas Camino , Matellán-Olivera Vicente , Suárez-González Adrián
Published: November 2020

The assembly and maintenance of electrified railway systems is of vital importance for its correct operation. Contact wires are critical elements since the correct collection of energy from trains through pantographs depends on them. Periodical inspection of the state of these installations is essential. This task traditionally implies a heavy manual workload subject to errors. A new system that allows one to check the state (height and stagger) of contact and messenger wires is presented on this article blueA new method based on seven steps for identifying the contact wires and measuring their height and stagger from point clouds recorded by means of a LiDAR system is presented. This system can be used both in assembly and maintenance phases, as well as afterwards, allowing the analysis of point clouds previously recorded. The new method was evaluated in both test bench and real environments against the commonly used measurement method. Results with the comparison between this new system and the commonly used measurement method in both test bench and real railway environments are presented. Results of this comparison show differences of less than a centimetre on average and the amount of time spent for the measuring phase is significantly decreased and not prone to human errors.
Direct Measurements of the Volume Flow Rate and Emissions in a Large Naturally Ventilated Building
Authors: Janke David , Yi Qianying , Thormann Lars , Hempel Sabrina , Amon Barbara , Nosek Štěpán , van Overbeke Philippe , Amon Thomas
Published: November 2020

The direct measurement of emissions from naturally ventilated dairy barns is challenging due to their large openings and the turbulent and unsteady airflow at the inlets and outlets. The aim of this study was to quantify the impacts of the number and positions of sensors on the estimation of volume flow rate and emissions. High resolution measurements of a naturally ventilated scaled building model in an atmospheric boundary layer wind tunnel were done. Tracer gas was released inside the model and measured at the outlet area, using a fast flame ionization detector (FFID). Additionally, the normal velocity on the area was measured using laser Doppler anemometry (LDA). In total, for a matrix of 65 × 4 sensor positions, the mean normal velocities and the mean concentrations were measured and used to calculate the volume flow rate and the emissions. This dataset was used as a reference to assess the accuracy while systematically reducing the number of sensors and varying the positions of them. The results showed systematic errors in the emission estimation up to +97%, when measurements of concentration and velocity were done at one constant height. This error could be lowered under 5%, when the concentrations were measured as a vertical composite sample.
A First Tentative for Simultaneous Detection of Fungicides in Model and Real Wines by Microwave Sensor Coupled to Molecularly Imprinted Sol-Gel Polymers
Authors: Rossignol Jérôme , Dujourdy Laurence , Stuerga Didier , Cayot Philippe , Gougeon Régis D. , Bou-Maroun Elias
Published: November 2020

A molecularly imprinted silica (MIS) coupled to a microwave sensor was used to detect three fungicides (iprodione, procymidone and pyrimethanil) present in most French wines. Chemometric methods were applied to interpret the microwave spectra and to correlate microwave signals and fungicide concentrations in a model wine medium, and in white and red Burgundy wines. The developed microwave sensor coupled to an MIS and to its control, a nonimprinted silica (NIS), was successfully applied to detect the three fungicides present in trace levels (ng L−1) in a model wine. The MIS sensor discriminated the fungicide concentrations better than the NIS sensor. Partial Least Squares models were suitable for determining iprodione in white and red wines. A preliminary method validation was applied to iprodione in the white and red wines. It showed a limit of detection (LOD) lower than 30 ng L−1 and a recovery percentage between 90 and 110% when the iprodione concentration was higher than the LOD. The determined concentrations were below the authorized level by far.
HyCHEED System for Maintaining Stable Temperature Control during Preclinical Irreversible Electroporation Experiments at Clinically Relevant Temperature and Pulse Settings
Authors: Agnass Pierre , Rodermond Hans M. , Zweije Remko , Sijbrands Jan , Vogel Jantien A. , van Lienden Krijn P. , van Gulik Thomas M. , van Veldhuisen Eran , Franken Nicolaas A. P. , Oei Arlene L. , Kok H. Petra , Besselink Marc G. , Crezee Johannes
Published: November 2020

Electric permeabilization of cell membranes is the main mechanism of irreversible electroporation (IRE), an ablation technique for treatment of unresectable cancers, but the pulses also induce a significant temperature increase in the treated volume. To investigate the therapeutically thermal contribution, a preclinical setup is required to apply IRE at desired temperatures while maintaining stable temperatures. This study’s aim was to develop and test an electroporation device capable of maintaining a pre-specified stable and spatially homogeneous temperatures and electric field in a tumor cell suspension for several clinical-IRE-settings. A hydraulically controllable heat exchange electroporation device (HyCHEED) was developed and validated at 37 °C and 46 °C. Through plate electrodes, HyCHEED achieved both a homogeneous electric field and homogenous-stable temperatures; IRE heat was removed through hydraulic cooling. IRE was applied to 300 μL of pancreatic carcinoma cell suspension (Mia PaCa-2), after which cell viability and specific conductivity were determined. HyCHEED maintained stable temperatures within ±1.5 °C with respect to the target temperature for multiple IRE-settings at the selected temperature levels. An increase of cell death and specific conductivity, including post-treatment, was found to depend on electric-field strength and temperature. HyCHEED is capable of maintaining stable temperatures during IRE-experiments. This provides an excellent basis to assess the contribution of thermal effects to IRE and other bio-electromagnetic techniques.
Assessing Changes in Dielectric Properties Due to Nanomaterials Using a Two-Port Microwave System
Authors: Rahman Mohammed , Lahri Rachita , Ahsan Syed , Thanou Maya , Kosmas Panagiotis
Published: November 2020

Detecting changes in the dielectric properties of tissues at microwave frequencies can offer simple and cost effective tools for cancer detection. These changes can be enhanced by the use of nanoparticles (NPs) that are characterised by both increased tumour uptake and high dielectric constant. This paper presents a two-port experimental setup to assess the impact of contrast enhancement on microwave signals. The study focuses on carbon nanotubes, as they have been previously shown to induce high microwave dielectric contrast. We investigate multiwall carbon nanotubes (MWNT) and their -OH functionalised version (MWNT-OH) dispersed in tissue phantoms as contrast enhancing NPs, as well as salt (NaCl) solutions as reference mixtures which can be easily dissolved inside water mixtures and thus induce dielectric contrast changes reliably. MWNT and MWNT-OH are characterised by atomic force microscopy, and their dielectric properties are measured when dispersed in 60% glycerol–water mixtures. Salt concentrations between 10 and 50 mg/mL in 60% glycerol mixtures are also studied as homogeneous samples known to affect the dielectric constant. Contrast enhancement is then evaluated using a simplified two-port microwave system to identify the impact on microwave signals with respect to dielectric contrast. Numerical simulations are also conducted to compare results with the experimental findings. Our results suggest that this approach can be used as a reliable method to screen and assess contrast enhancing materials with regards to a microwave system’s ability to detect their impact on a target.
Convolution Kernel Operations on a Two-Dimensional Spin Memristor Cross Array
Authors: Zhu Saike , Wang Lidan , Dong Zhekang , Duan Shukai
Published: November 2020

In recent years, convolution operations often consume a lot of time and energy in deep learning algorithms, and convolution is usually used to remove noise or extract the edges of an image. However, under data-intensive conditions, frequent operations of the above algorithms will cause a significant memory/communication burden to the computing system. This paper proposes a circuit based on spin memristor cross array to solve the problems mentioned above. First, a logic switch based on spin memristors is proposed, which realizes the control of the memristor cross array. Secondly, a new type of spin memristor cross array and peripheral circuits is proposed, which realizes the multiplication and addition operation in the convolution operation and significantly alleviates the computational memory bottleneck. At last, the color image filtering and edge extraction simulation are carried out. By calculating the peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) of the image result, the processing effects of different operators are compared, and the correctness of the circuit is verified.
Federated Learning in Smart City Sensing: Challenges and Opportunities
Authors: Jiang Ji Chu , Kantarci Burak , Oktug Sema , Soyata Tolga
Published: November 2020

Smart Cities sensing is an emerging paradigm to facilitate the transition into smart city services. The advent of the Internet of Things (IoT) and the widespread use of mobile devices with computing and sensing capabilities has motivated applications that require data acquisition at a societal scale. These valuable data can be leveraged to train advanced Artificial Intelligence (AI) models that serve various smart services that benefit society in all aspects. Despite their effectiveness, legacy data acquisition models backed with centralized Machine Learning models entail security and privacy concerns, and lead to less participation in large-scale sensing and data provision for smart city services. To overcome these challenges, Federated Learning is a novel concept that can serve as a solution to the privacy and security issues encountered within the process of data collection. This survey article presents an overview of smart city sensing and its current challenges followed by the potential of Federated Learning in addressing those challenges. A comprehensive discussion of the state-of-the-art methods for Federated Learning is provided along with an in-depth discussion on the applicability of Federated Learning in smart city sensing; clear insights on open issues, challenges, and opportunities in this field are provided as guidance for the researchers studying this subject matter.
Temperature Correction to Enhance Blood Glucose Monitoring Accuracy Using Electrical Impedance Spectroscopy
Authors: Lee Ye Sung , Son Minkook , Zhbanov Alexander , Jung Yugyung , Jung Myoung Hoon , Eom Kunsun , Nam Sung Hyun , Park Jongae , Yang Sung
Published: November 2020

Electrical methods are among the primarily studied non-invasive glucose measurement techniques; however, various factors affect the accuracy of the sensors used. Of these, the temperature is a critical factor; hence, the effects of temperature on the electrical properties of blood components are investigated in this study. Furthermore, the changes in the electrical properties of blood according to the glucose level are corrected by considering the effects of temperature on the electrical properties. An impedance sensor is developed and used to measure whole blood impedance in 10 healthy participants at various temperatures and glucose levels. Subsequently, the conductivities of the plasma and cytoplasm were extracted. Changes in the electrical properties of the blood components are then analyzed using linear regression and repeated measures ANOVA. The electrical conductivities of plasma and cytoplasm increased with increasing temperatures (plasma: 0.0397 (slope), 0.7814 (R2), cytoplasm: 0.014 (slope), 0.694 (R2)). At three values of increasing glucose levels (85.4, 158.1, and 271.8 mg/dL), the electrical conductivities of the plasma and cytoplasm decreased. These tendencies are more significant upon temperature corrections (p-values; plasma: 0.001, 0.001, cytoplasm: 0.003, 0.002). The relationships between temperature and electrical conductivity changes can thus be used for temperature corrections in blood glucose measurement.
NVIS Multicarrier Modulations for Remote-Sensor Applications
Authors: Maso Josep M. , Gonzalez Tomas , Male Jordi , Porte Joaquim , Pijoan Joan L. , Badia David
Published: November 2020

The number of Internet of Things (IoT) devices has experienced a large growth during the last decade, as well as the data volume gathered from remote sensors. Satellites are still a suitable communication method and may be preferable for a remote ubiquitous sensor network (USN), which sometimes are located in places without much communications infrastructure where coverage is the principal drawback. Alternatively, the proposed solution for this article aims at a near-vertical incidence skywave (NVIS) channel for high frequencies (HF) with a low-cost platform, allowing a low-power transmissions coverage area up to 250 km for USN. The HF standards are focused on generic communication channels not being robust for NVIS communications. In this article we study and test an alternative based on orthogonal frequency-division multiplexing (OFDM) modulations to make them more robust and less dependent on the channel NVIS communications. For that purpose, we test the HF standard modulations and a designed OFDM modulation to prove the robustness of each. This study has been tested between Barcelona and Tarragona, using different transmission power levels and modulation orders.
Accuracy of an Affordable Smartphone-Based Teledermoscopy System for Color Measurements in Canine Skin
Authors: Cugmas Blaž , Štruc Eva
Published: November 2020

Quality smartphone cameras and affordable dermatoscopes have enabled teledermoscopy to become a popular medical and veterinary tool for analyzing skin lesions such as melanoma and erythema. However, smartphones acquire images in an unknown RGB color space, which prevents a standardized colorimetric skin analysis. In this work, we supplemented a typical veterinary teledermoscopy system with a conventional color calibration procedure, and we studied two mid-priced smartphones in evaluating native and erythematous canine skin color. In a laboratory setting with the ColorChecker, the teledermoscopy system reached CIELAB-based color differences ΔE of 1.8–6.6 (CIE76) and 1.1–4.5 (CIE94). Intra- and inter-smartphone variability resulted in the color differences (CIE76) of 0.1, and 2.0–3.9, depending on the selected color range. Preliminary clinical measurements showed that canine skin is less red and yellow (lower a* and b* for ΔE of 10.7) than standard Caucasian human skin. Estimating the severity of skin erythema with an erythema index led to errors between 0.5–3%. After constructing a color calibration model for each smartphone, we expedited clinical measurements without losing colorimetric accuracy by introducing a simple image normalization on a white standard. To conclude, the calibrated teledermoscopy system is fast and accurate enough for various colorimetric applications in veterinary dermatology.
Highly Sensitive Reflective-Mode Defect Detectors and Dielectric Constant Sensors Based on Open-Ended Stepped-Impedance Transmission Lines
Authors: Casacuberta Pau , Muñoz-Enano Jonathan , Vélez Paris , Su Lijuan , Gil Marta , Martín Ferran
Published: November 2020

In this paper, reflective-mode phase-variation sensors based on open-ended stepped-impedance transmission lines with optimized sensitivity for their use as defect detectors and dielectric constant sensors are reported. The sensitive part of the sensors consists of either a 90° high-impedance or a 180° low-impedance open-ended sensing line. To optimize the sensitivity, such a sensing line is cascaded to a 90° transmission line section with either low or high characteristic impedance, resulting in a stepped-impedance transmission line configuration. For validation purposes, two different sensors are designed and fabricated. One of the sensors is implemented by means of a 90° high impedance (85 Ω) open-ended sensing line cascaded to a 90° low impedance (15 Ω) transmission line section. The other sensor consists of a 180° 15-Ω open-ended sensing line cascaded to a 90° 85-Ω line. Sensitivity optimization for the measurement of dielectric constants in the vicinity of that corresponding to the Rogers RO4003C substrate (i.e., with dielectric constant 3.55) is carried out. The functionality as a defect detector is demonstrated by measuring the phase-variation in samples consisting of the uncoated Rogers RO4003C substrate (the reference sample) with arrays of holes of different densities.
Driver’s Preview Modeling Based on Visual Characteristics through Actual Vehicle Tests
Authors: Hu Hongyu , Cheng Ming , Gao Fei , Sheng Yuhuan , Zheng Rencheng
Published: November 2020

This paper proposes a method for obtaining driver’s fixation points and establishing a preview model based on actual vehicle tests. Firstly, eight drivers were recruited to carry out the actual vehicle test on the actual straight and curved roads. The curvature radii of test curved roads were selected to be 200, 800, and 1500 m. Subjects were required to drive at a speed of 50, 70 and 90 km/h, respectively. During the driving process, eye movement data of drivers were collected using a head-mounted eye tracker, and road front scene images and vehicle statuses were collected simultaneously. An image-world coordinate mapping model of the visual information of drivers was constructed by performing an image distortion correction and matching the images from the driving recorder. Then, fixation point data for drivers were accordingly obtained using the Identification-Deviation Threshold (I-DT) algorithm. In addition, the Jarque–Bera test was used to verify the normal distribution characteristics of these data and to fit the distribution parameters of the normal function. Furthermore, the preview points were extracted accordingly and projected into the world coordinate. At last, the preview data obtained under these conditions are fit to build general preview time probability density maps for different driving speeds and road curvatures. This study extracts the preview characteristics of drivers through actual vehicle tests, which provides a visual behavior reference for the humanized vehicle control of an intelligent vehicle.
A Multi-Core Object Detection Coprocessor for Multi-Scale/Type Classification Applicable to IoT Devices
Authors: Xu Peng , Xiao Zhihua , Wang Xianglong , Chen Lei , Wang Chao , An Fengwei
Published: November 2020

Power efficiency is becoming a critical aspect of IoT devices. In this paper, we present a compact object-detection coprocessor with multiple cores for multi-scale/type classification. This coprocessor is capable to process scalable block size for multi-shape detection-window and can be compatible with the frame-image sizes up to 2048 × 2048 for multi-scale classification. A memory-reuse strategy that requires only one dual-port SRAM for storing the feature-vector of one-row blocks is developed to save memory usage. Eventually, a prototype platform is implemented on the Intel DE4 development board with the Stratix IV device. The power consumption of each core in FPGA is only 80.98 mW.
Label-Free Oligonucleotide-Based SPR Biosensor for the Detection of the Gene Mutation Causing Prothrombin-Related Thrombophilia
Authors: Sierpe Rodrigo , Kogan Marcelo J. , Bollo Soledad
Published: November 2020

Prothrombin-related thrombophilia is a genetic disorder produced by a substitution of a single DNA base pair, replacing guanine with adenine, and is detected mainly by polymerase chain reaction (PCR). A suitable alternative that could detect the single point mutation without requiring sample amplification is the surface plasmon resonance (SPR) technique. SPR biosensors are of great interest: they offer a platform to monitor biomolecular interactions, are highly selective, and enable rapid analysis in real time. Oligonucleotide-based SPR biosensors can be used to differentiate complementary sequences from partially complementary or noncomplementary strands. In this work, a glass chip covered with an ultrathin (50 nm) gold film was modified with oligonucleotide strands complementary to the mutated or normal (nonmutated) DNA responsible for prothrombin-related thrombophilia, forming two detection platforms called mutated thrombophilia (MT) biosensor and normal thrombophilia (NT) biosensor. The results show that the hybridization response is obtained in 30 min, label free and with high reproducibility. The sensitivity obtained in both systems was approximately 4 ΔμRIU/nM. The dissociation constant and limits of detection calculated were 12.2 nM and 20 pM (3 fmol), respectively, for the MT biosensor, and 8.5 nM and 30 pM (4.5 fmol) for the NT biosensor. The two biosensors selectively recognize their complementary strand (mutated or normal) in buffer solution. In addition, each platform can be reused up to 24 times when the surface is regenerated with HCl. This work contributes to the design of the first SPR biosensor for the detection of prothrombin-related thrombophilia based on oligonucleotides with single point mutations, label-free and without the need to apply an amplification method.
Social Capital and Age at Sexual Debut: Race Differences in South Africa
Authors: Jorgensen-Wells McKell A. , James Spencer L.
Published: November 2020

Literature on social capital has long considered whether and how social capital is protective against various risk behaviors, including age at sexual debut. However, much of this literature uses data from wealthy countries in the Global North and is often cross-sectional, dampening generalizability. In this paper, we employ longitudinal South African data from adolescents in the Cape Area Panel Study to examine the longitudinal link between social capital and age at sexual debut. We first examine the overall relationship between age at sexual debut and social capital and then examine how the relationship differs by race. Results suggest that, on average, each additional activity is associated with an approximate 2 month delay in age at sexual debut. However, we observed steep racial differences. For Africans, the link between social capital and age at sexual debut was not significant, while the results for Coloureds and Whites were. For Coloureds, each additional activity translated into a 3 month delay in sexual debut, while for Whites we found a 4 month delay. We found no evidence of sex differences. Taken together, these results suggest that social capital is not equally efficacious for all South African adolescents. For Africans, social capital does not appear to be linked to age at sexual debut. In contrast, more social capital activities appear to be linked to delayed sexual debut, most particularly for Whites.
The Effect of Training Status on Adaptations to 11 Weeks of Block Periodization Training
Authors: Wetmore Alexander B. , Moquin Paul A. , Carroll Kevin M. , Fry Andrew C. , Hornsby W. Guy , Stone Michael H.
Published: November 2020

Some controversy exists as to the most efficacious method of training to achieve enhanced levels of sport performance. Controversy concerning the efficacy of periodization and especially block periodization (BP) likely stems from the use of poorly or untrained subjects versus trained who may differ in their responses to a stimulus. The purpose of this study was to investigate the effect of training status on performance outcomes resulting from 11 weeks of BP training. Fifteen males were recruited for this study and placed into strong (age = 24.3 ± 1.9 years., body mass (BM) = 87.7 ± 8.7 kg, squat: body mass = 1.96 ± 0.16), moderate (age = 25.3 ± 2.7 years., body mass = 100.2 ± 15.5 kg, squat: body mass = 1.46 ± 0.14), or weak (age = 23.2 ± 3.9 yrs., body mass = 83.5 ± 17.1 kg, squat: body mass = 1.17 ± 0.07) groups based on relative strength. Testing was completed at baseline, and after each block which consisted of 1 repetition maximum (1RM) squat, 0 kg static jump (SJ), 0 kg countermovement jump (CMJ), 20 kg SJ, and 20 kg CMJ. Absolute and relative strength were strongly correlated with rates of improvement for absolute strength, relative strength, 0 kg, and 20 kg vertical jumps. All subjects substantially improved back squat (p < 0.001), relative back squat (p < 0.001) with large–very large effect sizes between groups for percent change favoring the weak group over the moderate and strong group for all performance variables. All subjects showed statistically significant improvements in 0 kg SJ (p < 0.001), 0 kg CMJ (p < 0.001), 20 kg SJ (p = 0.002), and 20 kg CMJ (p < 0.001). Statistically significant between group differences were noted for both 20 kg SJ (p = 0.01) and 20 kg CMJ (p = 0.043) with the strong group statistically greater jump heights than the weak group. The results of this study indicate BP training is effective in improving strength and explosive ability. Additionally, training status may substantially alter the response to a resistance training program.
A Note on the Nonparametric Estimation of the Conditional Mode by Wavelet Methods
Authors: Bouzebda Salim , Chesneau Christophe
Published: November 2020

The purpose of this note is to introduce and investigate the nonparametric estimation of the conditional mode using wavelet methods. We propose a new linear wavelet estimator for this problem. The estimator is constructed by combining a specific ratio technique and an established wavelet estimation method. We obtain rates of almost sure convergence over compact subsets of Rd. A general estimator beyond the wavelet methodology is also proposed, discussing adaptivity within this statistical framework.
Eco-Packaging and its Market Performance: UPC-level Sales, Brand Spillover Effects, and Curvilinearity
Authors: Choi Sunhee , Lee Sangno
Published: November 2020

The prior research has partially addressed the full impacts of eco-packaging, mainly focusing on intention or attitude in a limited context. We attempt to investigate the actual consumer behavioral pattern to the eco-packaging appeals with revealed preference data. To test the diverse impacts on various product hierarchies, the sales of frequently purchased product category was applied. The scanner panel data availability in multi-category products enables us to test (1) the eco-packaging appeal impacts on Universal Product Code level sales, (2) the eco-packaging impacts on brand spillover effect, and (3) the linear or non-linear relationship between eco-packaging appeal and sales. Our results show that eco-packaging does contribute to its individual product sales. With regard to the brand spillover effect, our results reveal rather interesting results: brand spillover effect is present when eco-packaging intensity is high in the own product category, but not when the intensity is high in other product categories even if they both carry the same umbrella brand. Lastly, we discover an inverted U-shaped relationship between eco-packaging intensity within a brand and brand-level sales. It implies that adding eco-packaging appeal to products would actually increase the whole brand sales immediately, but after a peak point, the positive association transfer is weakened. Our results highlight that it is necessary to consider that ecologically sound packaging does induce market success.
Cultural Tourism as a Driver of Rural Development. Case Study: Southern Moravia
Authors: Šťastná Milada , Vaishar Antonín , Brychta Jiří , Tuzová Kristýna , Zloch Jan , Stodolová Veronika
Published: November 2020

The main aim of the study was to find out whether cultural tourism could be a driver of rural development in the selected area and in general. In case yes, to what extent and under what conditions. Three districts in the South-Moravian Region, Znojmo, Břeclav, and Hodonín, situated in the rural borderland with Austria and Slovakia represented the study area. Both geographical and sociological methods were used to gather evidence for cultural tourism in that study. Firstly, attractiveness analysis of the area defined for cultural tourism took place. Next, factors influencing the potential for cultural tourism affecting rural development in South Moravia were evaluated. Finally, synergistic relations were discussed. In the territory, many forms of tourism intersect. Based on the results, it can be stated that cultural tourism can hardly be the main driver of rural development after the decline of agriculture because the region’s economy has branched out in several directions. However, it can be an important complementary activity that yields both economic and non-economic benefits.
The Effects of Fertilizer Type and Application Time on Soil Properties, Plant Traits, Yield and Quality of Tomato
Authors: Hasnain Muhammad , Chen Jiawei , Ahmed Nazeer , Memon Shumaila , Wang Lei , Wang Yimei , Wang Ping
Published: November 2020

Compost is considered to be superior fertilizer for soil quality and productivity, and is commonly used with chemical fertilizer. The optimal mixed ratio of compost with chemical fertilizer and the best application time is necessary to know for sustainable agriculture practices and management. Compared to the control treatment, this study comprehensively evaluated the effects of four mixed ratios of compost with chemical fertilizer, two nitrogen application times of chemical fertilizer, and their interaction on the soil properties, plant traits, yield, and quality of tomato plants. The soil properties, plant traits, and yield of tomato with all compost-mixed fertilizers performed better than the treatment without fertilizer. Furthermore, the amounts of available nitrogen, phosphorus, organic matter, plant weight, and yield in a 30% chemical fertilizer + 70% compost treatments (CF30) were even better than those with pure chemical fertilizer (CF100). No significant effect of nitrogen application time and its interaction with the mixed ratio treatment was detected, and the quality of fruit remained consistent among treatments. This study demonstrated a suitable practical application method for cow manure compost as a nutrient source in tomato crop production under silty loam soil.
Elderly Users’ Satisfaction with Public Transport in Thailand Using Different Importance Performance Analysis Approaches
Authors: Chaisomboon Methawadee , Jomnonkwao Sajjakaj , Ratanavaraha Vatanavongs
Published: November 2020

Due to the rapid increase in population and the change in age structure toward the elderly, the phenomenon of societal ageing is being witnessed in many countries. The elderly travel less than the adult population due to decreasing mobility with an increasing age. In this study, we aimed to analyze the expectations and satisfaction of public transport users in Thailand using traditional importance performance analysis (IPA), gap analysis, and IPA integrated with competitor performance. We aimed to explain the differences in the analysis results produced by the three methods. The data were obtained from surveying 2250 elderly and 450 non-elderly adults. This study presents guidelines for improving the public transport service quality in Thailand to meet user needs. The results of this research showed that each approach provides its own distinctive aspects and theoretical differences, which lead to different interpretations. The results from the three approaches showed that equipment that increases safety for public transportation service users is an important factor for all elderly passengers that must be improved. Public transportation services in different regions should be developed to provide more reliable and regular services.
Sustainable Distance Education: Comparison of Digital Pedagogical Models
Authors: Santoveña-Casal Sonia , Fernández Pérez Mª Dolores
Published: November 2020

The literature shows strong evidence of how different learning models influence learning. The kind of model used is a basic variable that can either help or hinder sustainable education. The objective of this research is to analyse how digital pedagogical models of three kinds (collaborative, social, and independent) influence the learning experience. The study is based on a design that combines triangulation, a theoretical model, quantitative methods (descriptive analysis and contrast of means), and qualitative methods (discourse analysis, following the principles of grounded theory). The importance of social and collaborative models in sustainable education is proved; both types of models promote a positive learning experience. They strengthen inter-student relationships, a feeling of belonging to a community with shared interests, and feelings of membership and cohesion. An independent model may hamper students’ perception of current knowledge and development of collaborative competences, in contrast to the more-interactive model. These results can be assessed in greater depth through future research exploring independent models’ possible potential for analysing environmental problems and their tie-in to personal decisions.
Digital Gap in Universities and Challenges for Quality Education: A Diagnostic Study in Mexico and Spain
Authors: Rodríguez-Abitia Guillermo , Martínez-Pérez Sandra , Ramirez-Montoya Maria Soledad , Lopez-Caudana Edgar
Published: November 2020

The United Nations (UN) identifies four key elements as agents for change and for addressing societal challenges: education, research, innovation and leadership. The use of technology, from a pedagogical and organizational point of view, in higher education institutions has brought about new challenges. The integration of them in the teaching–learning processes has experienced a great evolution, giving way to a digital transformation and the acquisition of new skills and knowledge, thus pointing towards quality education within the framework of sustainable development objectives. This document aims to describe and analyze the ways in which seven higher education institutions, three in Spain and four in Mexico, have taken up the challenge of adopting technologies and applying them to the educational process. To this end, in-depth interviews and direct observations were carried out. The results point to three dimensions: technological, pedagogical and organizational, which shed light on the different factors that influence the choice and availability of the use of technologies. The results indicate that contextual factors play a determinant role in the ability of an institution to profit from technologies to aid the educational process and guarantee its quality.
Personal Accomplishment and Hardiness in Reducing Emergency Stress and Burnout among COVID-19 Emergency Workers
Authors: Vagni Monia , Giostra Valeria , Maiorano Tiziana , Santaniello Giuliano , Pajardi Daniela
Published: November 2020

During the severe phase of the pandemic, COVID-19 emergency workers were engaged in long and numerous shifts of duty, resulting in exposure to various stress factors. A high stress level is associated with risk of burnout. Resilience and personal accomplishment can effectively help mitigate and reduce emergency stress levels and emotional exhaustion. The main aim of this study was to analyze the relationship of emergency stress and hardiness with burnout among emergency workers. The participants included 494 emergency volunteers from the Red Cross Committee in Veneto, Italy, engaged in various health, emergency, and social activities aimed at COVID-19 patients and people at risk of contracting the virus. Questionnaires used to measure emergency stress, hardiness and burnout were administered on an online platform. We analyzed the influence of age, sex, weekly hours of service, stress risk factors, and use of personal protective equipment. To verify the predictive effects of risk and protective factors on burnout, correlational and multivariate analyses, and regressions were conducted. Hardiness showed an effect in reducing emergency stress levels, emotional exhaustion, and depersonalization and simultaneously increased personal accomplishment.
The Impact of Measures Recommended by the Government to Limit the Spread of Coronavirus (COVID-19) on Physical Activity Levels, Quality of Life, and Mental Health of Brazilians
Authors: de Matos Dihogo Gama , Aidar Felipe J. , Almeida-Neto Paulo Francisco de , Moreira Osvaldo Costa , Souza Raphael Fabrício de , Marçal Anderson Carlos , Marcucci-Barbosa Lucas Soares , Martins Júnior Francisco de Assis , Lobo Lazaro Fernandes , dos Santos Jymmys Lopes , Guerra Ialuska , Costa e Silva Anselmo de Athayde , Neves Eduardo Borba , Tinoco Cabral Breno Guilherme de Araújo , Reis Victor Machado , Nunes-Silva Albená
Published: November 2020

To reduce transmission of the coronavirus, the Brazilian government adopted containment measures to control the virus’ spread, including limitations to the practice of physical activity. It was aimed to analyze the effects of COVID-19 quarantine on physical activity levels, energy expenditure, quality of life, and level of stress in a sample of the Brazilian population. The sample included 426 participants (7 to 80 years). The International Physical Activity Questionnaire, Short form survey-36 (SF-36), and Stress Perception Scale, were used to assess the level of physical activity, quality of life and stress, respectively. The anthropometric data was used to the assessment of body mass index and basal metabolic rate. Body weight increased significantly in all sample (p < 0.05). During the pandemic, 84% of the sample indicated a low level of physical activity. Furthermore, weekly energy expenditure decreased significantly in all age groups during the pandemic (children p < 0.0001; adolescents: p < 0.0001; adults p < 0.001, and elderly p < 0.0001). All aspects of quality of life, significantly reduced in both sexes in all age groups (p < 0.05). With the exception of children, stress levels increased significantly during the pandemic (adolescents: male: p = 0.003, female: p < 0.05; adults: male: p = 0.003, female: p = 0.01, and elderly: male: p = 0.02, female: p = 0.03). Findings from the present study suggests that COVID-19 social isolation has negatively affected Brazilian’ physical activity and quality of life.
The Logic behind the Internal Governance of Sweden’s Largest Agricultural Cooperatives
Authors: Hakelius Karin , Nilsson Jerker
Published: November 2020

This study comprises a qualitative analysis of the governance structures within the two largest agricultural cooperatives in Sweden, both of which have large and heterogeneous memberships, as well as sizeable and complex business operations. Interviews were conducted with district council members and representatives from the boards of directors. The data from both case cooperatives indicate a genuinely traditional democratic member governance structure. There is a great deal of social capital in the governance system. A tentative explanation of the member involvement is that the cooperatives’ equity capital is owned by the individual members, and the members are free to sell and buy their shares at a market rate. The members are satisfied with the return on the capital they have invested in the cooperatives. They receive bonus shares and dividends above what most members would get in other investments. A conclusion is that very large cooperatives may succeed well with a member-democratic governance system of the traditional cooperative type, which in this case is probably due to the members’ satisfaction with the individualized ownership of the cooperatives.
CSR in Non-Large Public Interest Entities: Corporate Talk vs. Actions
Authors: Krasodomska Joanna , Godawska Justyna
Published: November 2020

Smaller companies’ understanding of and attitude toward corporate social responsibility (CSR), both in terms of actions and disclosure, is distinct from that of other organizations, including large public interest entities (PIEs) that dominate the existing literature in the field. In this study, we examine the interdependencies between non-large PIEs’ CSR practices and disclosures with the use of the organizational hypocrisy concept as a theoretical lens. Our sample consists of 111 companies operating in Poland and pursuing 646 CSR-related practices in 2017. We perform content analysis of their websites using the disclosure index to assess the extent of their CSR disclosures. The total number of observations equals 1227. Both practices and disclosures are analyzed according to ISO 26000 standards. The relationship between the sample companies’ CSR talk and actions is analyzed by means of the Pearson coefficient. Our findings suggest that CSR practices and disclosures of non-large PIEs are loosely coupled. For the whole sample and for the non-SMEs (small and medium sized entities) subsample, the strongest association between the two was observed as regards the organizational governance area. As far as the SMEs are concerned, the statistically significant association between their CSR reporting and actions was identified for the environmental area. Our study contributes to the CSR literature, as it provides new insights into the relation between voluntary CSR talk and actions of non-large PIEs operating in a relatively unexplored setting.
Inadequacies in Hospital Waste and Sewerage Management in Chattogram, Bangladesh: Exploring Environmental and Occupational Health Hazards
Authors: Behnam Batool , Oishi Shafiqua Nawrin , Uddin Sayed Mohammad Nazim , Rafa Nazifa , Nasiruddin Sayed Mohammad , Mollah AKM Moniruzzaman , Hongzhi Ma
Published: November 2020

Bangladesh has been grappling with the issues of improper hospital waste management. To reflect the inadequacies in existing management practices and the potential implications on the environment and health, this study evaluated the Knowledge, Attitude, and Practice (KAP) of doctors and nurses in a private and a public hospital in Chattogram city via a structured questionnaire survey. At the public hospital, 20.4% of the doctors and 6% of the nurses had occupational illnesses, compared to 36% of the doctors and 26.5% of the nurses at the private hospital. At the public hospital, 67.8% of the nurses wore PPE during waste collection, compared to 17.7% in the private hospital. Hospital wastes and occupational safety are not properly dealt with in both hospitals. An inadequacy was observed in the knowledge of hospital waste management among healthcare workers. The route of hospital wastes from the sources to the end destination was also traced via interviews and focus group discussions, which revealed that disposal practices of the hospital solid waste were environmentally unsustainable. In attempts to show opportunities for environmental and health risks from the hospital wastewater, this study also investigated the quality of the wastewater and tested it for the presence of resistant enteric pathogens. E. coli and S. aureus from both hospitals showed resistance against some common antibiotics used in Bangladesh. The physicochemical properties of the samples were nearly compliant with the Bangladesh Water Quality Standards for hospital wastewater. While more robust sampling and water quality analysis are required, this study provides basic water quality indicators and scope for future research to understand the apparent significant negative impact on the environment and health.