bluuebunny/crossref_metadata_2025 huggingface dataset:
Combustion Enhancement of Pulverized Coal with Targeted Oxygen-Enrichment in an Ironmaking Blast Furnace
Authors: Zhou Zhenfeng , Wang Ruihao , Yi Qiujie , Wang Guang , Ma Chunyuan
Published: March 2021

In this study, a targeted oxygen-enrichment technology was proposed to enhance coal combustion in an ironmaking blast furnace. The coal flow and combustion characteristics under targeted oxygen-enrichment were investigated using the computational fluid dynamics (CFD) method. The results showed that oxygen utilization and coal burnout were significantly increased under targeted oxygen-enrichment. The coal burnout at 24% O2 concentration was 86.29%, which was the maximum and indicated an increase of 13.13%. However, the cooling effect of room-temperature oxygen had some adverse effects on coal combustion. Given this, the effect of coal particle temperature on coal combustion was investigated based on targeted oxygen-enrichment. The coal combustion process was further enhanced. The coal burnout at a 600 K particle temperature and 25% oxygen concentration was 91.12% and had an increase of 17.96%, which was the maximum.
Sustainable Development in EU Countries in the Framework of the Europe 2020 Strategy
Authors: Širá Elena , Kotulič Rastislav , Kravčáková Vozárová Ivana , Daňová Monika
Published: March 2021

The Europe 2020 Strategy was proposed with a long-term vision to ensure prosperity, development, and competitiveness for the member countries. This strategy is divided into three main areas named “growth”. One of these is sustainable growth. This is an area of sustainability, where the partial targets are referred to as the “20-20-20 approach”, and includes a reduction of greenhouse gas emissions, an increase in energy efficiency, and the sharing of renewable energy sources. However, questions arise, including: How do member states meet these targets? Which countries are leaders in this area? According to these stated questions, the aim of this article is to assess how EU countries are meeting the set targets for sustainable growth resulting from the Europe 2020 strategy and to identify the countries with the best results in this area. We looked for answers to these questions in the analysis of sustainable indicators, which were transformed into a synthetic measure for comparability of the resulting values. Finally, we identified the Baltic states, Nordic countries (European Union members), Romania, and Croatia as the best countries in fulfilling the sustainable growth aims. As sustainable development and resource efficiency are crucial areas for the future, it is important to consider these issues.
Influence and Relationship between Branded Content and the Social Media Consumer Interactions of the Luxury Fashion Brand Manolo Blahnik
Authors: Castillo-Abdul Bárbara , Bonilla-del-Río Mónica , Núñez-Barriopedro Estela
Published: March 2021

Social networks are particularly significant in marketing and advertising because they provide platforms that offer interactive network channels to develop consumer brands. Among the most useful platforms of this type for capturing leads for businesses of the business to customer are Facebook®. In this sense, this research aims to analyze the degree of influence and relationship between Branded Content and the social media consumer interactions of the luxury fashion firm Manolo Blahnik in the mentioned network. This analysis allows us to see what type of content is more effective in social networks. To do this, an exploratory study was implemented with a review of the literature, followed by a correlation study, with hypothesis set to be contrasted through ANOVA analysis with SPSS software. The conclusion is that social networks facilitate interaction between brands and their followers, allowing the content and messages disseminated to achieve greater impact and commitment to the public and, therefore, increase the engagement between the brand and followers.
Assessing Jesuit Intellectual Apostolate in Modern Shanghai (1847–1949)
Authors: Mo Wei
Published: March 2021

The various endeavors led by Jesuits under the auspices to the Plan Scientifique du Kiang-Nan (Scientific Plan for the Jiangnan region) constituted a defining moment in the history of their mission in modern China. The Jesuits aimed to found a scientific capital that would also constitute the base of their East Asian mission, a project that led to a far-reaching engagement in education and sciences. The multiple projects they undertook were located within the framework of Western knowledge. The traditional Jesuit strategy adapted itself to a new context by encouraging a constructive and fruitful interaction between religion and science. Jesuit intellectual apostolate included not only research but also the dissemination of technologies and knowledge central to the rise of modernity in China. The entry into this country of well-educated, deeply zealous Jesuit missionaries along with their observations on the social and political changes taking place decisively contributed to the modernization of Shanghai and to the emergence of multi-perspective narratives about the destiny of the city. Assessing the Jiangnan-based Jesuits’ continuous efforts as well as the challenges and contradictions they met with help us to integrate the seemingly conflicting ethos of Christian mission and scientific quest into a reframed perspective of global history.
Stochastic Remote Sensing Event Classification over Adaptive Posture Estimation via Multifused Data and Deep Belief Network
Authors: Gochoo Munkhjargal , Akhter Israr , Jalal Ahmad , Kim Kibum
Published: March 2021

Advances in video capturing devices enable adaptive posture estimation (APE) and event classification of multiple human-based videos for smart systems. Accurate event classification and adaptive posture estimation are still challenging domains, although researchers work hard to find solutions. In this research article, we propose a novel method to classify stochastic remote sensing events and to perform adaptive posture estimation. We performed human silhouette extraction using the Gaussian Mixture Model (GMM) and saliency map. After that, we performed human body part detection and used a unified pseudo-2D stick model for adaptive posture estimation. Multifused data that include energy, 3D Cartesian view, angular geometric, skeleton zigzag and moveable body parts were applied. Using a charged system search, we optimized our feature vector and deep belief network. We classified complex events, which were performed over sports videos in the wild (SVW), Olympic sports, UCF aerial action dataset and UT-interaction datasets. The mean accuracy of human body part detection was 83.57% over the UT-interaction, 83.00% for the Olympic sports and 83.78% for the SVW dataset. The mean event classification accuracy was 91.67% over the UT-interaction, 92.50% for Olympic sports and 89.47% for SVW dataset. These results are superior compared to existing state-of-the-art methods.
Spatiotemporal Evolution of Fractional Vegetation Cover and Its Response to Climate Change Based on MODIS Data in the Subtropical Region of China
Authors: Liu Hua , Li Xuejian , Mao Fangjie , Zhang Meng , Zhu Di’en , He Shaobai , Huang Zihao , Du Huaqiang
Published: March 2021

The subtropical vegetation plays an important role in maintaining the structure and function of global ecosystems, and its contribution to the global carbon balance are receiving increasing attention. The fractional vegetation cover (FVC) as an important indicator for monitoring environment change, is widely used to analyze the spatiotemporal pattern of regional and even global vegetation. China is an important distribution area of subtropical vegetation. Therefore, we first used the dimidiate pixel model to extract the subtropical FVC of China during 2001–2018 based on MODIS land surface reflectance data, and then used the linear regression analysis and the variation coefficient to explore its spatiotemporal variations characteristics. Finally, the partial correlation analysis and the partial derivative model were used to analyze the influences and contributions of climate factors on FVC, respectively. The results showed that (1) the subtropical FVC had obvious spatiotemporal heterogeneity; the FVC high-coverage and medium-coverage zones were concentratedly and their combined area accounted for more than 70% of the total study area. (2) The interannual variation in the average subtropical FVC from 2001 to 2018 showed a significant growth trend. (3) In 76.28% of the study area, the regional FVC showed an increasing trend, and the remaining regional FVC showed a decreasing trend. However, the overall fluctuations in the FVC (increasing or decreasing) in the region were relatively stable. (4) The influences of climate factors to the FVC exhibited obvious spatial differences. More than half of all pixels exhibited the influence of the average annual minimum temperature and the annual precipitation had positive on FVC, while the average annual maximum temperature had negative on FVC. (5) The contributions of climate changes to FVC had obvious heterogeneity, and the average annual minimum temperature was the main contribution factor affecting the dynamic variations of FVC.
Mapping Alteration Mineralogy in Eastern Tsogttsetsii, Mongolia, Based on the WorldView-3 and Field Shortwave-Infrared Spectroscopy Analyses
Authors: Son Young-Sun , You Byoung-Woon , Bang Eun-Seok , Cho Seong-Jun , Kim Kwang-Eun , Baik Hyunseob , Nam Hyeong-Tae
Published: March 2021

This study produces alteration mineral maps based on WorldView-3 (WV-3) data and field shortwave-infrared (SWIR) spectroscopy. It is supported by conventional analytical methods such as X-ray diffraction, X-ray fluorescence, and electron probe X-ray micro analyzer as an initial step for mineral exploration in eastern Tsogttsetsii, Mongolia, where access is limited. Distributions of advanced argillic minerals (alunite, dickite, and kaolinite), illite/smectite (illite, smectite, and mixed-layered illite-smectite), and ammonium minerals (buddingtonite and NH4-illite) were mapped using the decorrelation stretch, band math, and mixture-tuned-matched filter (MTMF) techniques. The accuracy assessment of the WV-3 MTMF map using field SWIR data showed good WV-3 SWIR data accuracy for spectrally predominant alteration minerals such as alunite, kaolinite, buddingtonite, and NH4-illite. The combination of WV-3 SWIR mineral mapping and a drone photogrammetric-derived digital elevation model contributed to an understanding of the structural development of the hydrothermal system through visualization of the topographic and spatial distribution of surface alteration minerals. Field SWIR spectroscopy provided further detailed information regarding alteration minerals such as chemical variations of alunite, crystallinity of kaolinite, and aluminum abundance of illite that was unavailable in WV-3 SWIR data. Combining WV-3 SWIR data and field SWIR spectroscopy with conventional exploration methods can narrow the selection between deposit models and facilitate mineral exploration.
Paper-Based Competitive Immunochromatography Coupled with an Enzyme-Modified Electrode to Enable the Wireless Monitoring and Electrochemical Sensing of Cotinine in Urine
Authors: Larpant Nutcha , Kalambate Pramod K. , Ruzgas Tautgirdas , Laiwattanapaisal Wanida
Published: March 2021

This paper proposes a combined strategy of using paper-based competitive immunochromatography and a near field communication (NFC) tag for wireless cotinine determination. The glucose oxidase labeled cotinine antibody specifically binds free cotinine in a sample, whereas the unoccupied antibody attached to BSA-cotinine at the test line on a lateral flow strip. The glucose oxidase on the strip and an assistant pad in the presence of glucose generated H2O2 and imposed the Ag oxidation on the modified electrode. This enabled monitoring of immunoreaction by either electrochemical measurement or wireless detection. Wireless sensing was realized for cotinine in the range of 100–1000 ng/mL (R2 = 0.96) in PBS medium. Undiluted urine samples from non-smokers exhibited an Ag-oxidation rate three times higher than the smoker’s urine samples. For 1:8 diluted urine samples (smokers), the proposed paper-based competitive immunochromatography coupled with an enzyme-modified electrode differentiated positive and negative samples and exhibited cotinine discrimination at levels higher than 12 ng/mL. This novel sensing platform can potentially be combined with a smartphone as a reader unit.
Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization
Authors: De La Torre Cruz Juan , Cañadas Quesada Francisco Jesús , Ruiz Reyes Nicolás , García Galán Sebastián , Carabias Orti Julio José , Peréz Chica Gerardo
Published: March 2021

The appearance of wheezing sounds is widely considered by physicians as a key indicator to detect early pulmonary disorders or even the severity associated with respiratory diseases, as occurs in the case of asthma and chronic obstructive pulmonary disease. From a physician’s point of view, monophonic and polyphonic wheezing classification is still a challenging topic in biomedical signal processing since both types of wheezes are sinusoidal in nature. Unlike most of the classification algorithms in which interference caused by normal respiratory sounds is not addressed in depth, our first contribution proposes a novel Constrained Low-Rank Non-negative Matrix Factorization (CL-RNMF) approach, never applied to classification of wheezing as far as the authors’ knowledge, which incorporates several constraints (sparseness and smoothness) and a low-rank configuration to extract the wheezing spectral content, minimizing the acoustic interference from normal respiratory sounds. The second contribution automatically analyzes the harmonic structure of the energy distribution associated with the estimated wheezing spectrogram to classify the type of wheezing. Experimental results report that: (i) the proposed method outperforms the most recent and relevant state-of-the-art wheezing classification method by approximately 8% in accuracy; (ii) unlike state-of-the-art methods based on classifiers, the proposed method uses an unsupervised approach that does not require any training.
Performance Comparison of Solid Lead Ion Electrodes with Different Carbon-Based Nanomaterials as Electron-Ion Exchangers
Authors: Zhang Lei , Wei Zhengying , Liu Pengcheng , Wei Haoran , Ma Denglong
Published: March 2021

Carbon-based nanomaterials with carboxylation or chemical modification are widely used as electron-ion exchangers of solid electrodes. For reducing the complexity and dangerousness of the intermediate layer preparation, different original carbon-based nanomaterials are dispersed in deionized water. They are applied in the fabrication of Pb2+-selective electrodes. Because the contact angle of graphene reached 132.5°, the Pb2+-selective electrode of graphene used as an electron-ion exchanger showed excellent performance with a low detection limit of 3.4 × 10−8 M and a fast average response time of 42.6 s. The Nernstian response slope could reach 26.8 mV/decade, and the lifetime lasted for a month. Therefore, graphene suspension without any treatment can be used as the intermediate layer of solid-state electrodes, providing a reference for the preparation of other ion-selective electrodes.
A Smartphone-Based Cursor Position System in Cross-Device Interaction Using Machine Learning Techniques
Authors: Yang Juechen , Kong Jun , Zhao Chunying
Published: March 2021

The use of mobile devices, especially smartphones, has become popular in recent years. There is an increasing need for cross-device interaction techniques that seamlessly integrate mobile devices and large display devices together. This paper develops a novel cross-device cursor position system that maps a mobile device’s movement on a flat surface to a cursor’s movement on a large display. The system allows a user to directly manipulate objects on a large display device through a mobile device and supports seamless cross-device data sharing without physical distance restrictions. To achieve this, we utilize sound localization to initialize the mobile device position as the starting location of a cursor on the large screen. Then, the mobile device’s movement is detected through an accelerometer and is accordingly translated to the cursor’s movement on the large display using machine learning models. In total, 63 features and 10 classifiers were employed to construct the machine learning models for movement detection. The evaluation results have demonstrated that three classifiers, in particular, gradient boosting, linear discriminant analysis (LDA), and naïve Bayes, are suitable for detecting the movement of a mobile device.
A Privacy Preservation Quality of Service (QoS) Model for Data Exposure in Android Smartphone Usage
Authors: Abu Bakar Anizah , Mahinderjit Singh Manmeet , Mohd Shariff Azizul Rahman
Published: March 2021

An Android smartphone contains built-in and externally downloaded applications that are used for entertainment, finance, navigation, communication, health and fitness, and so on. The behaviour of granting permissions requested by apps might expose the Android smartphone user to privacy risks. The existing works lack a formalized mathematical model that can quantify user and system applications risks. No multifaceted data collector tool can also be used to monitor the collection of user data and the risk posed by each application. A benchmark of the risk level that alerts the user and distinguishes between acceptable and unacceptable risk levels in Android smartphone user does not exist. Hence, to address privacy risk, a formalized privacy model called PRiMo that uses a tree structure and calculus knowledge is proposed. An App-sensor Mobile Data Collector (AMoDaC) is developed and implemented in real life to analyse user data accessed by mobile applications through the permissions granted and the risks involved. A benchmark is proposed by comparing the proposed PRiMo outcome with the existing available testing metrics. The results show that Tools & Utility/Productivity applications posed the highest risk as compared to other categories of applications. Furthermore, 29 users faced low and acceptable risk, while two users faced medium risk. According to the benchmark proposed, users who faced risks below 25% are considered as safe. The effectiveness and accuracy of the proposed work is 96.8%.
Research on Rainfall Monitoring Based on E-Band Millimeter Wave Link in East China
Authors: Zheng Siming , Han Congzheng , Huo Juan , Cai Wenbing , Zhang Yinhui , Li Peng , Zhang Gaoyuan , Ji Baofeng , Zhou Jiafeng
Published: March 2021

Accurate rainfall observation data with high temporal and spatial resolution are essential for national disaster prevention and mitigation as well as climate response decisions. This paper introduces a field experiment using an E-band millimeter-wave link to obtain rainfall rate information in Nanjing city, which is situated in the east of China. The link is 3 km long and operates at 71 and 81 GHz. We first distinguish between the wet and the dry periods, and then determine the classification threshold for calculating attenuation baseline in real time. We correct the influence of the wet antenna attenuation and finally calculate the rainfall rate through the power law relationship between the rainfall rate and the rain-induced attenuation. The experimental results show that the correlation between the rainfall rate retrieved from the 71 GHz link and the rainfall rate measured by the raindrop spectrometer is up to 0.9. The correlation at 81 GHz is up to 0.91. The mean relative errors are all below 5%. By comparing with the rainfall rate measured by the laser raindrop spectrometer set up at the experimental site, we verified the reliability and accuracy of monitoring rainfall using the E-band millimeter-wave link.
RatioNet: Ratio Prediction Network for Object Detection
Authors: Zhao Kuan , Zhao Boxuan , Wu Lifang , Jian Meng , Liu Xu
Published: March 2021

In object detection of remote sensing images, anchor-free detectors often suffer from false boxes and sample imbalance, due to the use of single oriented features and the key point-based boxing strategy. This paper presents a simple and effective anchor-free approach-RatioNet with less parameters and higher accuracy for sensing images, which assigns all points in ground-truth boxes as positive samples to alleviate the problem of sample imbalance. In dealing with false boxes from single oriented features, global features of objects is investigated to build a novel regression to predict boxes by predicting width and height of objects and corresponding ratios of l_ratio and t_ratio, which reflect the location of objects. Besides, we introduce ratio-center to assign different weights to pixels, which successfully preserves high-quality boxes and effectively facilitates the performance. On the MS-COCO test–dev set, the proposed RatioNet achieves 49.7% AP.
Heterogeneous (ITS-G5 and 5G) Vehicular Pilot Road Weather Service Platform in a Realistic Operational Environment
Authors: Tahir Muhammad Naeem , Katz Marcos
Published: March 2021

VANETs (Vehicular Ad hoc Networks) operating in conjunction with road-side infrastructure connecting road-side infrastructure are an emerging field of wireless communication technology in the vehicular communication’s domain. For VANETs, the IEEE 802.11p-based ITS-G5 is one of the key standards for communication globally. This research work integrates the ITS-G5 with a cellular-based 5G Test Network (5GTN). The resulting advanced heterogeneous Vehicular Network (VN) test-bed works as an effective platform for traffic safety between vehicles and road-side-infrastructure. This test-bed network provides a flexible framework to exploit vehicle-based weather data and road observation information, creating a service architecture for VANETs that supports real-time intelligent traffic services. The network studied in this paper aims to deliver improved road safety by providing real-time weather forecast, road friction information and road traffic related services. This article presents the implementation of a realistic test-bed in Northern Finland and the field measurement results of the heterogeneous VANETs considering the speed of vehicle, latency, good-put time and throughput. The field measurement results have been obtained in a state-of-the-art hybrid VANET system supporting special road weather services. Based on field measurement results, we suggest an efficient solution for a comprehensive hybrid vehicular networking infrastructure exploiting road weather information.
RGDiNet: Efficient Onboard Object Detection with Faster R-CNN for Air-to-Ground Surveillance
Authors: Kim Jongwon , Cho Jeongho
Published: March 2021

An essential component for the autonomous flight or air-to-ground surveillance of a UAV is an object detection device. It must possess a high detection accuracy and requires real-time data processing to be employed for various tasks such as search and rescue, object tracking and disaster analysis. With the recent advancements in multimodal data-based object detection architectures, autonomous driving technology has significantly improved, and the latest algorithm has achieved an average precision of up to 96%. However, these remarkable advances may be unsuitable for the image processing of UAV aerial data directly onboard for object detection because of the following major problems: (1) Objects in aerial views generally have a smaller size than in an image and they are uneven and sparsely distributed throughout an image; (2) Objects are exposed to various environmental changes, such as occlusion and background interference; and (3) The payload weight of a UAV is limited. Thus, we propose employing a new real-time onboard object detection architecture, an RGB aerial image and a point cloud data (PCD) depth map image network (RGDiNet). A faster region-based convolutional neural network was used as the baseline detection network and an RGD, an integration of the RGB aerial image and the depth map reconstructed by the light detection and ranging PCD, was utilized as an input for computational efficiency. Performance tests and evaluation of the proposed RGDiNet were conducted under various operating conditions using hand-labeled aerial datasets. Consequently, it was shown that the proposed method has a superior performance for the detection of vehicles and pedestrians than conventional vision-based methods.
Proof of Concept for a Quick and Highly Sensitive On-Site Detection of SARS-CoV-2 by Plasmonic Optical Fibers and Molecularly Imprinted Polymers
Authors: Cennamo Nunzio , D’Agostino Girolamo , Perri Chiara , Arcadio Francesco , Chiaretti Guido , Parisio Eva Maria , Camarlinghi Giulio , Vettori Chiara , Di Marzo Francesco , Cennamo Rosario , Porto Giovanni , Zeni Luigi
Published: March 2021

The rapid spread of the Coronavirus Disease 2019 (COVID-19) pandemic, caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pathogen has generated a huge international public health emergency. Currently the reference diagnostic technique for virus determination is Reverse Transcription Polymerase Chain Reaction (RT-PCR) real time analysis that requires specialized equipment, reagents and facilities and typically 3–4 h to perform. Thus, the realization of simple, low-cost, small-size, rapid and point-of-care diagnostics tests has become a global priority. In response to the current need for quick, highly sensitive and on-site detection of the SARS-CoV-2 virus in several aqueous solutions, a specific molecularly imprinted polymer (MIP) receptor has been designed, realized, and combined with an optical sensor. More specifically, the proof of concept of a SARS-CoV-2 sensor has been demonstrated by exploiting a plasmonic plastic optical fiber sensor coupled with a novel kind of synthetic MIP nano-layer, especially designed for the specific recognition of Subunit 1 of the SARS-CoV-2 Spike protein. First, we have tested the effectiveness of the developed MIP receptor to bind the Subunit 1 of the SARS-CoV-2 spike protein, then the results of preliminary tests on SARS-CoV-2 virions, performed on samples of nasopharyngeal (NP) swabs in universal transport medium (UTM) and physiological solution (0.9% NaCl), were compared with those obtained with RT-PCR. According to these preliminary results, the sensitivity of the proposed optical-chemical sensor proved to be higher than the RT-PCR one. Furthermore, a relatively fast response time (about 10 min) to the virus was obtained without the use of additional reagents.
A Review: Point Cloud-Based 3D Human Joints Estimation
Authors: Xu Tianxu , An Dong , Jia Yuetong , Yue Yang
Published: March 2021

Joint estimation of the human body is suitable for many fields such as human–computer interaction, autonomous driving, video analysis and virtual reality. Although many depth-based researches have been classified and generalized in previous review or survey papers, the point cloud-based pose estimation of human body is still difficult due to the disorder and rotation invariance of the point cloud. In this review, we summarize the recent development on the point cloud-based pose estimation of the human body. The existing works are divided into three categories based on their working principles, including template-based method, feature-based method and machine learning-based method. Especially, the significant works are highlighted with a detailed introduction to analyze their characteristics and limitations. The widely used datasets in the field are summarized, and quantitative comparisons are provided for the representative methods. Moreover, this review helps further understand the pertinent applications in many frontier research directions. Finally, we conclude the challenges involved and problems to be solved in future researches.
Cyber Risk Propagation and Optimal Selection of Cybersecurity Controls for Complex Cyberphysical Systems
Authors: Kavallieratos Georgios , Spathoulas Georgios , Katsikas Sokratis
Published: March 2021

The increasingly witnessed integration of information technology with operational technology leads to the formation of Cyber-Physical Systems (CPSs) that intertwine physical and cyber components and connect to each other to form systems-of-systems. This interconnection enables the offering of functionality beyond the combined offering of each individual component, but at the same time increases the cyber risk of the overall system, as such risk propagates between and aggregates at component systems. The complexity of the resulting systems-of-systems in many cases leads to difficulty in analyzing cyber risk. Additionally, the selection of cybersecurity controls that will effectively and efficiently treat the cyber risk is commonly performed manually, or at best with limited automated decision support. In this work, we propose a method for analyzing risk propagation and aggregation in complex CPSs utilizing the results of risk assessments of their individual constituents. Additionally, we propose a method employing evolutionary programming for automating the selection of an optimal set of cybersecurity controls out of a list of available controls, that will minimize the residual risk and the cost associated with the implementation of these measures. We illustrate the workings of the proposed methods by applying them to the navigational systems of two variants of the Cyber-Enabled Ship (C-ES), namely the autonomous ship and the remotely controlled ship. The results are sets of cybersecurity controls applied to those components of the overall system that have been identified in previous studies as the most vulnerable ones; such controls minimize the residual risk, while also minimizing the cost of implementation.
Deployment Strategies of Soil Monitoring WSN for Precision Agriculture Irrigation Scheduling in Rural Areas
Authors: García Laura , Parra Lorena , Jimenez Jose M. , Parra Mar , Lloret Jaime , Mauri Pedro V. , Lorenz Pascal
Published: March 2021

Deploying wireless sensor networks (WSN) in rural environments such as agricultural fields may present some challenges that affect the communication between the nodes due to the vegetation. These challenges must be addressed when implementing precision agriculture (PA) systems that monitor the fields and estimate irrigation requirements with the gathered data. In this paper, different WSN deployment configurations for a soil monitoring PA system are studied to identify the effects of the rural environment on the signal and to identify the key aspects to consider when designing a PA wireless network. The PA system is described, providing the architecture, the node design, and the algorithm that determines the irrigation requirements. The testbed includes different types of vegetation and on-ground, near-ground, and above-ground ESP32 Wi-Fi node placements. The results of the testbed show high variability in densely vegetated areas. These results are analyzed to determine the theoretical maximum coverage for acceptable signal quality for each of the studied configurations. The best coverage was obtained for the near-ground deployment. Lastly, the aspects of the rural environment and the deployment that affect the signal such as node height, crop type, foliage density, or the form of irrigation are discussed.
Alignment of Islamic Banking Sustainability Indicators with Sustainable Development Goals: Policy Recommendations for Addressing the COVID-19 Pandemic
Authors: Jan Amin , Mata Mário Nuno , Albinsson Pia A. , Martins José Moleiro , Hassan Rusni Bt , Mata Pedro Neves
Published: March 2021

This study aims to establish the link of key Islamic banking sustainability indicators with the United Nations’ Sustainable Development Goals (UN SDGs) as a policy recommendation for sustainable development and to mitigate the distressing impacts of the COVID-19 pandemic on the triple bottom line (people, planet, and profit). To identify the key Islamic banking sustainability indicators, the authors selected the most cited sustainability measurement indexes in Islamic banking. Initially, the indexes were divided into 10 broader themes, and then the key Islamic banking sustainability indicators were shortlisted from each theme based on their high-frequency distribution. The shortlisted sustainability indicators were then ratified to be in line with Islamic philosophy based on “Maqasid al-Shariah” (objectives of Shariah) and were subsequently grouped into the three dimensions of economic, environmental, and social sustainability based on the axial coding method. Finally, the categorized sustainability indicators were aligned with the relevant UN SDGs through the axial coding method for policy formulation, and respectively 12 propositions were developed for policy formulation. This study labeled the methodological process of this study as the ECA method (exploration, categorization, alignment). The new ECA method offers a reverse extension in the “SDG compass” developed by the Global Reporting Initiative (GRI) for aligning business policies with the UN SDGs. The process of aligning Islamic banking sustainability indicators with the UN SDGs will provide a roadmap to recovery from the COVID-19 pandemic in terms of economic, environmental, and social issues. Due to the diversity of the UN SDG framework, it covers multiples aspects for sustainable development. Therefore, considering the UN SDGs in terms of various banking instruments will mitigate the multiple distressing impacts of COVID-19 on the triple bottom line (people, planet, and profit), it will also promote a sustainable development agenda.
Managing Global Smart Cities in an Era of 21st Century Challenges
Authors: Kubina Milan , Šulyová Dominika , Vodák Josef
Published: March 2021

Globalization, integration and liberalism are concepts that have been used since ancient history and have influenced urban governance to this day. The aim of the article is to find out, based on the historical development of globalization, Friedmann’s urban concept and Sassen’s global theory of cities—how world cities reflect the new challenges of 21st century globalization. In the recent past, building of the global urban network has been influenced by factors such as the growth of populism, neoliberalism, migration, the existence of exploitative centers, urbanization and changes in the demographic curve. Similar to the year 2020, also in 2021 cities must face a single global challenge posed by the Covid-19 pandemic. In this article the authors used methods of comparative analysis of global Smart Cities such as New York, London and Tokyo. The discussion section includes a summary of results of the analysis, and a design of a new general model for managing global challenges in cities is introduced. The results of the article point towards the role and influence of cultural differences of global cities and this also relates to the approach to managing the new challenges of current times. New York and London are culturally closer and also showed similar results, whereas Tokyo differs across all analyzed elements. The main result of the article are the answers to the research questions and the design of a new general model which involves various elements of globalization management and which is based on the world best practices.
The Agrarian, Structural and Cultural Constraints of Smallholders’ Readiness for Sustainability Standards Implementation: The Case of Indonesian Sustainable Palm Oil in East Kalimantan
Authors: Dharmawan Arya Hadi , Mardiyaningsih Dyah Ita , Rahmadian Faris , Yulian Bayu Eka , Komarudin Heru , Pacheco Pablo , Ghazoul Jaboury , Amalia Rizka
Published: March 2021

The expansion of oil palm plantation has caused adverse impacts on the ecosystem. It has been associated with deforestation, biodiversity loss, disturbances to environmental services and livelihood change. The government of Indonesia has made an effort to control the negative effects by issuing relevant policies. One of the policies is Indonesian Sustainable Palm Oil (ISPO)’s sustainability standards to which large-scale plantations and smallholders are obliged to adhere. This study assesses the readiness of two types of smallholders, namely, the nucleus–plasma scheme and independent smallholders to adopt ISPO standards. Using a case study research approach in two oil palm plantation villages in East Kalimantan, the study found out a number of ISPO implementation challenges, grouped into structural and socio-cultural challenges, which make smallholders less ready to adhere to this mandatory policy. Coping with these challenges, this study proposed that land and business legality programs be expedited to strengthen property rights, and that training and education programs be intensified to enhance awareness, knowledge and capacity of smallholders to enable them to comply with sustainability standards.
Does State-Driven Social Economy Work? The Case of Community Business in South Korea
Authors: Choi Hyunsun , Park Jungyoon , Lee Eungi
Published: March 2021

What is the role of the government in enhancing social economy? South Korea has implemented projects and programs to enhance social economy. This paper discusses the positive role of government intervention by looking at the case of community business in South Korea. In addition, some limitations are discussed. Qualitative data based on in-depth interviews with diverse stakeholders and participants were included. In addition, a comprehensive analysis of government documents and literature was conducted. In spite of some bureaucratic and institutional limitations, the village company program of Korea has played an important role in enhancing the social economy for ten years. In particular, the early stages of government intervention in Korea have been successful. However, when the government intends to get involved in enhancing the social economy, it is necessary to carefully prepare formal and informal institutions.
Evaluating Farm Management Performance by the Choice of Pest-Control Sprayers in Rice Farming in Japan
Authors: Seo Yuna , Umeda Shotaro
Published: March 2021

With rapidly advancing technologies such as IoT, AI, robotics, and others, smart agriculture in Japan has been introduced and tested throughout the country. The validity of the implementation of smart agriculture could be measured by using cost analysis, working capacity assessment, and management efficiency analysis. In this study, we focused on pest-control management, wherein unmanned aerial vehicles (UAVs) for crop spraying have been recently introduced. In order to clarify the validity of UAVs for rice fields in Japan regarding costs and performance, we conducted a comparative study of pest-control sprayers, specifically: (1) tractor- mounted boom sprayers, (2) remote-control spraying helicopters (RC helicopters), and (3) UAVs. We estimated pest-control costs and the working capacity of each method. We also evaluated the management efficiency of 21 case scenarios of different pest-control sprayers and field areas ranging from 0.5 to 30 ha using data envelopment analysis (DEA) based on an input-oriented model. We used the input of pest-control cost and the output of gross farm income and surplus working capacity. Pest-control costs per unit area of boom sprayers, RC helicopters, and UAVs were approximately 925,597 yen/ha (US $8819/ha), 6,924,455 yen/ha (US $65,975/ha), and 791,724 yen/ha (US $7543/ha), respectively. The working capacity during pest-control scheduled days was 120, 195, and 135 ha, respectively. DEA results suggested that UAVs would be more efficient than boom sprayers and RC helicopters for the analyzed cases. UAVs for crop spraying showed relatively low cost and high management efficiency compared to the boom sprayers and RC helicopters; hence UAVs could be a suitable replacement to save cost and time.
An Action Research in Critical Thinking Concept Designed Curriculum Based on Collaborative Learning for Engineering Ethics Course
Authors: Hsu Yi-Chu
Published: March 2021

(1) Background: Critical thinking, CT, contributes to success in both career and higher education, and may be more important than professional content knowledge. Nevertheless, it is challenging to cultivate CT in a standalone course, especially for the engineering students who think less critically than those in other colleges. (2) Methods: This research incorporated CT concept into 18 weeks curriculum of Engineering·ethics and Society course, with the assistance of collaborative learning process for formative assessment and problem-based learning for summative assessment, in addition to 3 questionnaires to evaluate the progress in CT and collaboration. (3) Results: Both measurements in CT and collaboration improved significantly. In general, the participants enjoyed the course materials and thought these CT and values infused course activities were helpful to the learning. On the other hand, CT was also the most noticeable problem. About one over every five participants lacked the habit to think, while 17% of participants were afraid of complex questions to think. In addition, 10% doubted their CT skills. It concludes that total 46% participants thought CT is their most crucial shortage. (4) Conclusions: the pretest demonstrated the CT of the participants was below the college norm; fortunately, the assistance of the social interaction, including team work practices, peer evaluation, and pressure to push individuals work harder and think deeper, did promote their CT cognitive development.
Self-Similar Solutions in the Theory of Nonstationary Radiative Transfer in Spectral Lines in Plasmas and Gases
Authors: Kukushkin Alexander B. , Kulichenko Andrei A. , Neverov Vladislav S. , Sdvizhenskii Petr A. , Sokolov Alexander V. , Voloshinov Vladimir V.
Published: March 2021

Radiative transfer (RT) in spectral lines in plasmas and gases under complete redistribution of the photon frequency in the emission-absorption act is known as a superdiffusion transport characterized by the irreducibility of the integral (in the space coordinates) equation for the atomic excitation density to a diffusion-type differential equation. The dominant role of distant rare flights (Lévy flights, introduced by Mandelbrot for trajectories generated by the Lévy stable distribution) is well known and is used to construct approximate analytic solutions in the theory of stationary RT (the escape probability method is the best example). In the theory of nonstationary RT, progress based on similar principles has been made recently. This includes approximate self-similar solutions for the Green’s function (i) at an infinite velocity of carriers (no retardation effects) to cover the Biberman–Holstein equation for various spectral line shapes; (ii) for a finite fixed velocity of carriers to cover a wide class of superdiffusion equations dominated by Lévy walks with rests; (iii) verification of the accuracy of above solutions by comparison with direct numerical solutions obtained using distributed computing. The article provides an overview of the above results with an emphasis on the role of distant rare flights in the discovery of nonstationary self-similar solutions.
Recoil Reduction Method of Gun with Side to Rear Jet Controlled by Piston Motion
Authors: Qiu Ming , Si Peng , Song Jie , Liao Zhenqiang
Published: March 2021

Excessive recoil severely restricts the loading of high-power traditional guns on modern vehicles. To reduce the recoil without breaking the continuous firing mode and reducing the projectile velocity, a recoil reduction method that controls the lateral ejecting of propellant gas by a piston was proposed. The recoil reduction device is symmetric about the barrel axis. First, a one-dimensional two-phase flow model of interior ballistic during the gun firing cycle was established. Next, the MacCormack scheme was used to simulate, and the piston motion was gained. Then the propagation of the rarefaction wave in the barrel was presented. Finally, the propulsion difference between the piston-controlled gun and the traditional gun was discussed. The results showed that the recoil momentum was reduced by 31.80%, and the muzzle velocity was decreased by just 1.30% under the reasonable matching of structural parameters.
Experimental Model Development for the Attenuation Coefficient Estimation of Terrestrial Optical Wireless Links over the Sea
Authors: Stassinakis Argyris N. , Papavgeris George A. , Nistazakis Hector E. , Tsigopoulos Andreas D. , Androutsos Nikolaos A. , Tombras George S.
Published: March 2021

Free space optical (FSO) systems have become a reliable solution for modern communications networks, due to the high performance, availability, reliability and security they can provide. However, their characteristics depend strongly on the conditions of the atmosphere, which is the propagation path of the optical beam. In this work, this dependence is experimentally investigated through a terrestrial horizontal FSO link, which was installed a few meters above the sea. Thus, the procedure presented hereis an accurate empirical model for the estimation of the attenuation coefficient for an optical wireless link, as a function of the atmospheric temperature, the relative humidity, and the wind speed. Its accuracy is verified by comparing the estimated outcomes—obtained from the empirical model—versus the measured—experimental—ones. Such accurate empirical models can be used for designing high performance and reliability FSO links, as parts of the upcoming 5G/5G+ networks, for areas where the behavior of the atmospheric conditions and parameters are known.
Adenovirus Core Proteins: Structure and Function
Authors: Kulanayake Shermila , Tikoo Suresh
Published: March 2021

Adenoviruses have served as a model for investigating viral-cell interactions and discovering different cellular processes, such as RNA splicing and DNA replication. In addition, the development and evaluation of adenoviruses as the viral vectors for vaccination and gene therapy has led to detailed investigations about adenovirus biology, including the structure and function of the adenovirus encoded proteins. While the determination of the structure and function of the viral capsid proteins in adenovirus biology has been the subject of numerous reports, the last few years have seen increased interest in elucidating the structure and function of the adenovirus core proteins. Here, we provide a review of research about the structure and function of the adenovirus core proteins in adenovirus biology.
Acceptability of COVID-19 Vaccination among Greek Health Professionals
Authors: Papagiannis Dimitrios , Rachiotis George , Malli Foteini , Papathanasiou Ioanna V. , Kotsiou Ourania , Fradelos Evangelos C. , Giannakopoulos Konstantinos , Gourgoulianis Konstantinos I.
Published: March 2021

Health Care Workers are at the front line of the fight against Covid-19. The aim of this study was to evaluate the acceptability of vaccination against COVID-19 among health professionals (physicians, dentists, pharmacists) two weeks prior to the start of the Greek vaccination campaign against COVID-19. A cross-sectional online survey was conducted over the period 15–22 December 2020 in 340 health professionals in Central Greece. We found a high level of acceptance for COVID-19 vaccine (78.5%) and a high vaccination coverage for the influenza vaccine (74%). Age > 45 years (OR = 2.01; 95% C.I. = 2.01−4.3), absence of fear over vaccine safety (OR = 4.09; 95% C.I. = 1.36–12.3), and information received from the Greek public health authorities (OR = 11.14; 95% C.I. = 5.48–22.6), were factors independently associated with the likelihood of COVID-19 vaccination acceptance. Our study indicates a high level of the COVID-19 vaccination acceptance among physicians, dentists and pharmacists. Nevertheless, several interventions can be implemented to increase acceptance of vaccine among health-care workers (HCWs) and could be especially directed at younger and vaccine-hesitant health care workers due to fear of vaccine side-effects. Last, our results provide some evidence that receiving vaccine-related information from the Greek Center for Diseases Control (E.O.D.Y.) could reduce the drivers of hesitancy and enhance the acceptability of COVID-19 vaccination.