bluuebunny/crossref_metadata_2025 huggingface dataset:
A Robust Feature Extraction Model for Human Activity Characterization Using 3-Axis Accelerometer and Gyroscope Data
Authors: Ahmed Bhuiyan Rasel , Ahmed Nadeem , Amiruzzaman Md , Islam Md Rashedul
Published: December 2020

Human Activity Recognition (HAR) using embedded sensors in smartphones and smartwatch has gained popularity in extensive applications in health care monitoring of elderly people, security purpose, robotics, monitoring employees in the industry, and others. However, human behavior analysis using the accelerometer and gyroscope data are typically grounded on supervised classification techniques, where models are showing sub-optimal performance for qualitative and quantitative features. Considering this factor, this paper proposes an efficient and reduce dimension feature extraction model for human activity recognition. In this feature extraction technique, the Enveloped Power Spectrum (EPS) is used for extracting impulse components of the signal using frequency domain analysis which is more robust and noise insensitive. The Linear Discriminant Analysis (LDA) is used as dimensionality reduction procedure to extract the minimum number of discriminant features from envelop spectrum for human activity recognition (HAR). The extracted features are used for human activity recognition using Multi-class Support Vector Machine (MCSVM). The proposed model was evaluated by using two benchmark datasets, i.e., the UCI-HAR and DU-MD datasets. This model is compared with other state-of-the-art methods and the model is outperformed.
Deep Feature Extraction and Classification of Android Malware Images
Authors: Singh Jaiteg , Thakur Deepak , Ali Farman , Gera Tanya , Kwak Kyung Sup
Published: December 2020

The Android operating system has gained popularity and evolved rapidly since the previous decade. Traditional approaches such as static and dynamic malware identification techniques require a lot of human intervention and resources to design the malware classification model. The real challenge lies with the fact that inspecting all files of the application structure leads to high processing time, more storage, and manual effort. To solve these problems, optimization algorithms and deep learning has been recently tested for mitigating malware attacks. This manuscript proposes Summing of neurAl aRchitecture and VisualizatiOn Technology for Android Malware identification (SARVOTAM). The system converts the malware non-intuitive features into fingerprint images to extract the quality information. A fine-tuned Convolutional Neural Network (CNN) is used to automatically extract rich features from visualized malware thus eliminating the feature engineering and domain expert cost. The experiments were done using the DREBIN dataset. A total of fifteen different combinations of the Android malware image sections were used to identify and classify Android malware. The softmax layer of CNN was substituted with machine learning algorithms like K-Nearest Neighbor (KNN), Support Vector Machine (SVM), and Random Forest (RF) to analyze the grayscale malware images. It is observed that CNN-SVM model outperformed original CNN as well as CNN-KNN, and CNN-RF. The classification results showed that our method is able to achieve an accuracy of 92.59% using Android certificates and manifest malware images. This paper reveals the lightweight solution and much precise option for malware identification.
Effect of Thiol Molecular Structure on the Sensitivity of Gold Nanoparticle-Based Chemiresistors toward Carbonyl Compounds
Authors: Xie Zhenzhen , Ramakrishnam Raju Mandapati V. , Adhihetty Prasadanie K. , Fu Xiao-An , Nantz Michael H.
Published: December 2020

Increasing both the sensitivity and selectivity of thiol-functionalized gold nanoparticle chemiresistors remains a challenging issue in the quest to develop real-time gas sensors. The effects of thiol molecular structure on such sensor properties are not well understood. This study investigates the effects of steric as well as electronic effects in a panel of substituted thiol-urea compounds on the sensing properties of thiolate monolayer-protected gold nanoparticle chemiresistors. Three series of urea-substituted thiols with different peripheral end groups were synthesized for the study and used to prepare gold nanoparticle-based chemiresistors. The responses of the prepared sensors to trace volatile analytes were significantly affected by the urea functional motifs. The largest response for sensing acetone among the three series was observed for the thiol-urea sensor featuring a tert-butyl end group. Furthermore, the ligands fitted with N, N’-dialkyl urea moieties exhibit a much larger response to carbonyl analytes than the more acidic urea series containing N-alkoxy-N’-alkyl urea and N, N’-dialkoxy urea groups with the same peripheral end groups. The results show that the peripheral molecular structure of thiolate-coated gold nanoparticles plays a critical role in sensing target analytes.
Frequency Domain Panoramic Imaging Algorithm for Ground-Based ArcSAR
Authors: Lin Yun , Liu Yutong , Wang Yanping , Ye Shengbo , Zhang Yuan , Li Yang , Li Wei , Qu Hongquan , Hong Wen
Published: December 2020

The ground-based arc-scanning synthetic aperture radar (ArcSAR) is capable of 360° scanning of the surroundings with the antenna fixed on a rotating arm. ArcSAR has much wider field of view when compared with conventional ground-based synthetic aperture radar (GBSAR) scanning on a linear rail. It has already been used in deformation monitoring applications. This paper mainly focuses on the accurate and fast imaging algorithms for ArcSAR. The curvature track makes the image focusing challenging and, in the classical frequency domain, fast imaging algorithms that are designed for linear rail SAR cannot be readily applied. This paper proposed an efficient frequency domain imaging algorithm for ArcSAR. The proposed algorithm takes advantage of the angular shift-invariant property of the ArcSAR signal, and it deduces the accurate matched filter in the angular-frequency domain, so panoramic images in polar coordinates with wide swath can be obtained at one time without segmenting strategy. When compared with existing ArcSAR frequency domain algorithms, the proposed algorithm is more accurate and efficient, because it has neither far range nor narrow beam antenna restrictions. The proposed method is validated by both simulation and real data. The results show that our algorithm brings the quality of image close to the time domain back-projection (BP) algorithm at a processing efficiency about two orders of magnitude better, and it has better image quality than the existing frequency domain Lee’s algorithm at a comparable processing speed.
SAW Chemical Array Device Coated with Polymeric Sensing Materials for the Detection of Nerve Agents
Authors: Kim Jinuk , Park Hyewon , Kim Jihyun , Seo Byung-Il , Kim Joo-Hyung
Published: December 2020

G nerve agents are colorless, odorless, and lethal chemical warfare agents (CWAs). The threat of CWAs, which cause critical damage to humans, continues to exist, e.g., in warfare or terrorist attacks. Therefore, it is important to be able to detect these agents rapidly and with a high degree of sensitivity. In this study, a surface acoustic wave (SAW) array device with three SAW sensors coated with different sensing materials and one uncoated sensor was tested to determine the most suitable material for the detection of nerve agents and related simulants. The three materials used were polyhedral oligomeric silsesquioxane (POSS), 1-benzyl-3-phenylthiourea (TU-1), and 1-ethyl-3-(4-fluorobenzyl) thiourea (TU-2). The SAW sensor coated with the POSS-based polymer showed the highest sensitivity and the fastest response time at concentrations below the median lethal concentration (LCt50) for tabun (GA) and sarin (GB). Also, it maintained good performance over the 180 days of exposure tests for dimethyl methylphosphonate (DMMP). A comparison of the sensitivities of analyte vapors also confirmed that the sensitivity for DMMP was similar to that for GB. Considering that DMMP is a simulant which physically and chemically resembles GB, the sensitivity to a real agent of the sensor coated with POSS could be predicted. Therefore, POSS, which has strong hydrogen bond acid properties and which showed similar reaction characteristics between the simulant and the nerve agent, can be considered a suitable material for nerve agent detection.
Developing UAV-Based Forest Spatial Information and Evaluation Technology for Efficient Forest Management
Authors: Zhu Yongyan , Jeon Seongwoo , Sung Hyunchan , Kim Yoonji , Park Chiyoung , Cha Sungeun , Jo Hyun-woo , Lee Woo-kyun
Published: December 2020

Forest spatial information is regularly established and managed as basic data for national forest planning and forest policy establishment. Among them, the grade of vegetation conservation shall be investigated and evaluated according to the value of vegetation conservation. As the collection of field data over large or remote areas is difficult, unmanned aerial vehicles (UAVs) are increasingly being used for this purpose. Consequently, there is a need for research on UAV-monitoring and three-dimensional (3D) image generation techniques. In this study, a new method that can efficiently collect and analyze UAV spatial data to survey and assess forests was developed. Both UAV-based and LiDAR imaging methods were evaluated in conjunction with the ground control point measurement method for forest surveys. In addition, by fusing the field survey database of each target site and the UAV optical and LiDAR images, the Gongju, Samcheok, and Seogwipo regions were analyzed based on deep learning. The kappa value showed 0.59, 0.47, and 0.78 accuracy for each of the sites in terms of vegetation type (artificial or natural), and 0.68, 0.53, and 0.62 accuracy in terms of vegetation layer structure. The results of comparative analysis with ecological natural maps by establishing vegetation conservation levels show that about 83.9% of the areas are consistent. The findings verified the applicability of this UAV-based approach for the construction of geospatial information on forests. The proposed method can be useful for improving the efficiency of the Vegetation Conservation Classification system and for conducting high-resolution monitoring in forests worldwide.
From Disposal to Reuse: Production of Sustainable Fatty Acid Alkyl Esters Derived from Residual Oil Using a Biphasic Magnetic Catalyst
Authors: da Silva Adriano Lima , Luna Carlos Bruno Barreto , de Farias Ana Flávia Félix , de Medeiros Suelen Alves Silva Lucena , Meneghetti Simoni Margareti Plentz , Rodrigues Alisson Mendes , Costa Ana Cristina Figueiredo de Melo
Published: December 2020

The development of technologies to promote residual oil reuse has been encouraged, aiming to reduce the environmental impact and promote sustainability. In this study, a biphasic magnetic catalyst with composition equal to ZnO-Ni0.5Zn0.5Fe2O4 was synthesized and applied to the fatty acid alkyl ester (FAAE) production from residual oil. The ZnO-Ni0.5Zn0.5Fe2O4 catalyst was synthesized by combustion reaction and characterized by X-ray diffraction (XRD), textural analysis, Fourier transform infrared spectroscopy (FTIR), Raman spectroscopy, thermogravimetry, particle size distribution, scanning electron microscopy, magnetic measurements, quantification of acidic sites by TPD-NH3, and catalytic tests. The efficiency of catalyst synthesis was evaluated by XRD, FTIR, and Raman spectroscopy experiments. Granulometric analysis and SEM images confirmed the presence of the agglomerates and particles with a wide size range. The catalyst presented soft magnetic behavior, with high saturation magnetization. Additionally, the catalytic activity of the ZnO-Ni0.5Zn0.5Fe2O4 system showed an average conversion of 73% for the methyl route. The results indicate that the reuse of residual oil is feasible for FAAE production, contributing to sustainable fuel development. Moreover, it allows the reintroduction of waste oil into the biodiesel production chain, reducing cost after process optimization.
Strength and Swell Performance of High-Sulphate Kaolinite Clay Soil
Authors: Adeleke Blessing , Kinuthia John , Oti Jonathan
Published: December 2020

Expansion of soils has been found to produce significant negative economic and environmental impact on various civil engineering infrastructure. This impact is more deleterious in soils containing sulphates, when treated with calcium-based stabilizers such as Lime and/or Portland cement (PC). The reported study investigated the strength and swell characteristics of Kaolinite clay artificially induced with high levels of Gypsum (sulphate) contents after stabilization with CEM I (PC), which is a calcium-based stabilizer. An optimum stabilizer content/Gypsum dosage, aimed at investigating the maximum magnitude of expansion possible using high levels of 10, 15 and 20% Gypsum contents (4.7, 7 and 9.3 wt.% sulphate) stabilized with calcium-based content of 7, 8, 9 and 10 wt.%. This was expected to provide further understanding on the mechanisms behind high sulphate-bearing clay soils, and the impact of sulphate and calcium content on strength and swell characteristics. The research outcomes showed that the introduction of sulphate to a Kaolinite clay soil reduces the compressive strength of the stabilised product by a factor range of 6–47% at 28 days curing age, while the swell behaviour is mainly dependent on both the sulphate content and curing age. Furthermore, the observed result suggests an 8 wt.% binder content to produce maximum magnitude of expansion (swell) with a high Gypsum content of 10% by weight. This finding is of economic importance, as it is expected to serve as a benchmark for further research on the stabilized clay systems, at high sulphate levels using sustainable binder materials.
Evaluating the Perception of Socially Responsible Consumers: The Case of Products Derived from Organic Beef
Authors: Pérez-Barea José Javier , Espantaleón-Pérez Ricardo , Šedík Peter
Published: December 2020

Among the Sustainable Development Objectives adopted by the United Nations General Assembly in September 2015, is the 12th objective of Ensuring sustainable production and consumption patterns which aims to promote the efficient use of resources, energy efficiency, sustainable infrastructures, access to basic services, ecological support, decent jobs; and a better quality of life for all. In this line, our study illustrates a real case of farm producers who propose to transform the farm into an ecological entity with aim of safe and quality food production based on the sustainable production techniques and processes. This research outlines the market study that clarifies which consumers’ perceptions could be suitable for the ecological products derived from the organic bovine cattle. The primary data were obtained from the questionnaire survey conducted at supermarkets in Spain. The research sample comprised 330 respondents from Andalusia region. Results proved that the importance of the perceived value of products derived from organic beef was established in the following way: Price > Ethics > Health > Hedonism > Quality.
The Numerical Diffusion Effect on the CFD Simulation Accuracy of Velocity and Temperature Field for the Application of Sustainable Architecture Methodology
Authors: Michalcová Vladimíra , Kotrasová Kamila
Published: December 2020

Numerical simulation of fluid flow and heat or mass transfer phenomenon requires numerical solution of Navier–Stokes and energy-conservation equations, together with the continuity equation. The basic problem of solving general transport equations by the Finite Volume Method (FVM) is the exact calculation of the transport quantity. Numerical or false diffusion is a phenomenon of inserting errors in calculations that threaten the accuracy of the computational solution. The paper compares the physical accuracy of the calculation in the Computational Fluid Dynamics (CFD) code in Ansys Fluent using the offered discretization calculation schemes, methods of solving the gradients of the transport quantity on the cell walls, and the influence of the mesh type. The paper offers possibilities on how to reduce numerical errors. In the calculation area, the sharp boundary of two areas with different temperatures is created in the flow direction. The three-dimensional (3D) stationary flow of the fictitious gas is simulated using FVM so that only advective transfer, in terms of momentum and heat, arises. The subject of the study is to determine the level of numerical diffusion (temperature field scattering) and to evaluate the values of the transport quantity (temperature), which are outside the range of specified boundary conditions at variously set calculation parameters.
Fossel: Efficient Latency Reduction in Approximating Streaming Sensor Data
Authors: Abdullah Fatima , Peng Limei , Tak Byungchul
Published: December 2020

The volume of streaming sensor data from various environmental sensors continues to increase rapidly due to wider deployments of IoT devices at much greater scales than ever before. This, in turn, causes massive increase in the fog, cloud network traffic which leads to heavily delayed network operations. In streaming data analytics, the ability to obtain real time data insight is crucial for computational sustainability for many IoT enabled applications such as environmental monitors, pollution and climate surveillance, traffic control or even E-commerce applications. However, such network delays prevent us from achieving high quality real-time data analytics of environmental information. In order to address this challenge, we propose the Fog Sampling Node Selector (Fossel) technique that can significantly reduce the IoT network and processing delays by algorithmically selecting an optimal subset of fog nodes to perform the sensor data sampling. In addition, our technique performs a simple type of query executions within the fog nodes in order to further reduce the network delays by processing the data near the data producing devices. Our extensive evaluations show that Fossel technique outperforms the state-of-the-art in terms of latency reduction as well as in bandwidth consumption, network usage and energy consumption.
Consumer Attitudes and Purchase Intentions toward Food Delivery Platform Services
Authors: Chen Han-Shen , Liang Chia-Hsing , Liao Shu-Yi , Kuo Hung-Yu
Published: December 2020

With the advent of the Online to Offline (O2O) era, the rise of various food delivery platforms not only provides consumers with more choices, but also allows restaurant operators to reach more potential consumers and increase their additional revenue. This study is based on theory of planned behavior (TPB), and includes the ‘utilitarian value’ and ‘hedonic value’ as research variables. Structural equation modeling (SEM) was used to verify the research hypotheses, and to analyze consumers’ purchase intentions toward online food delivery platforms. An online survey was also conducted, and a total of 1300 questionnaires were distributed. After excluding invalid questionnaires with incomplete answers, a total of 1082 questionnaires were deemed valid, and the effective recovery rate was 83.23%. The research results were as follows: (1) the attitude, subjective norms, and perceived behavioral control of consumers will have a significant positive effect on utilitarian value and hedonic value; (2) the utilitarian and hedonic values have a significant positive effect on purchase intention; and (3) the utilitarian and hedonic values have a mediating effect on attitude, subjective norms, perceived behavioral control, and purchase intention. Based on the above results, food delivery platform operators can identify the key factors that drive consumers to use their services in order to formulate effective management strategies and create greater business opportunities for their organizations.
Decreasing Water Footprint of Electricity and Heat by Extensive Green Roofs: Case of Southern Italy
Authors: Pirouz Behrouz , Palermo Stefania Anna , Maiolo Mario , Arcuri Natale , Piro Patrizia
Published: December 2020

Electrical and energy production have a noticeable water footprint, and buildings′ share of global energy consumption is about 40%. This study presents a comprehensive experimental analysis of different thermal impacts and water consumption of green roofs in a Mediterranean climate. The study aims to investigate the use of water directly for green roofs and reduce the water footprint of energy in summer and winter due to its thermal impacts. The measurements were carried out for an extensive green roof with an area of 55 m2 and a thickness of 22 cm, and direct water consumption by a green roof and direct and indirect water consumption by cooling and heating systems were analyzed. According to the analysis, in summer, the maximum roof temperature on a conventional roof was 72 °C, while under the green roof it was 30.3 °C. In winter, the minimum roof temperature on a conventional roof was −8.6 °C, while under the green roof it was 7.4 °C. These results show that green roofs affect energy consumption in summer and winter, and the corresponding thermal requirements for the building have a water footprint regarding energy production. In summer, the thermal reduction in the water footprint by a green roof was 48 m3 if an evaporative air conditioner is used and 8.9 m3 for a compression air conditioner, whereas the water consumed in the green roof was 8.2 m3. Therefore, using water directly in the green roof would reduce the energy consumption in buildings, and thus less water has to be used in power plants to provide the same thermal impact. In winter, green roofs′ water consumption was higher than the thermal water footprint; however, there is no need to irrigate the green roof as the water consumed comes from precipitation. This experimental analysis determines that in the Mediterranean climate, green roofs allow the achievement of the same thermal conditions for buildings in both summer and winter, with a reduction in water consumption.
Massive Open Online Courses (MOOC) within the Framework of International Developmental Cooperation as a Strategy to Achieve Sustainable Development Goals
Authors: Sosa-Díaz María José , Fernández-Sánchez María Rosa
Published: December 2020

Massive Online Open Courses (MOOCs) offer the opportunity to implement a quality education timetable for those who lack the means due to economic, travel, or temporary availability limitations. Because of this, some non-governmental development organizations (NGOs), working in Latin American countries, are trying to implement this type of educational model within their educational projects. This article presents a case study on the development of a MOOC within the framework of international development cooperation carried out by an NGO and the National Autonomous University of Nicaragua. The research aims to analyze the opportunities and challenges of free, open, online teaching as a tool for achieving Sustainable Development Goal 4, and explore new educational possibilities to train people and contribute to the development of the communities in which they live. From a qualitative approach, grounded theory has been used as a holistic methodology for collecting, analyzing, and interpreting data, allowing the generation of theory in a systematic way. The most effective pedagogical models are evidenced to achieve the learning objectives and observe the challenges to be faced in order to achieve the effectiveness of MOOCs in this context. In conclusion, more applied research is needed to address the challenges that today’s societies, in times of pandemic, are facing at an educational and sustainability level.
A Life Cycle Thinking Approach to Analyse Sustainability in the Textile Industry: A Literature Review
Authors: Luján-Ornelas Cristina , Güereca Leonor Patricia , Franco-García María-Laura , Heldeweg Michiel
Published: December 2020

The textile industry is one of the most important productive sectors worldwide, and everyone, to some extent, is involved in its value chain. For this reason, it is essential to be informed about its performance, problems and innovations. This paper presents the progress done in the transition towards sustainable production and consumption patterns. A literature review of the life cycle stages of textile products was carried out to identify initiatives and actions improving the performance. The findings show that transparency and traceability along the supply chain have been a fundamental piece in the transition. Besides, the creation of multi-stakeholders’ clusters, seeking to improve social and environmental issues has been one of the most successful paths in this transition. However, a lack of training and skills along the life cycle stages and disconnection between products’ design and strategies of recycling was found. For this reason, it is recommendable to generate an in-depth diagnosis of the textile industry at a global and regional level. As well, it is necessary to generate strategies and tools that facilitate this transition, mainly supporting SMEs (small- and medium-sized companies).
Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process
Authors: Rigo Paula Donaduzzi , Rediske Graciele , Rosa Carmen Brum , Gastaldo Natália Gava , Michels Leandro , Neuenfeldt Júnior Alvaro Luiz , Siluk Julio Cezar Mairesse
Published: December 2020

In the current scenario of increasing energy demand and encouraging sustainable development in countries, the energy sector’s planning has become more complex, involving multiple factors, such as technical, economic, environmental, social, and political. The decision process plays a vital role in structuring and evaluating complex decision situations related to the sector, considering various criteria and objectives, encouraging adopting policies to promote energy efficiency actions by increasing research on renewable energy sources and strategic energy decisions. The high number of multi-criteria decision support methods (MCDM) available and their efficiency in solving highly complex problems results in an impasse with their selection and application in specific decision situations. Thus, the scientific community requires methodological approaches that help the decision-maker select the method consistent with his problem. Accordingly, this paper conducts a Systematic Literature Review (SLR) of renewable energy problems associated with MCDM methods based on a final set of 163 articles. We identified five categories of problems solved by MCDM techniques: Source selection, location, sustainability, project performance, and technological performance. We separate the MCDM process into five evaluation steps (alternative selection, criteria selection, criteria weighting, evaluation of alternatives, and post-assessment analyzes), and we extract the methods used in each MCDM step from papers. This paper’s main contribution is identifying the most common MCDM methods in the renewable energy area and the energy problem they solve. Accordingly, this manuscript helps energy decision-makers, entrepreneurs, investors, and policy-makers to improve their ability to choose the proper MCDM methods to solve energy problems.
Optimizing Treatment of Cesspool Wastewater at an Activated Sludge Plant
Authors: Bugajski Piotr , Operacz Agnieszka , Młyński Dariusz , Wałęga Andrzej , Kurek Karolina
Published: December 2020

The purpose of this work was to determine the optimal percentage of wastewater from cesspool in the mixture of wastes subjected to treatment processes, which will not have a negative impact on the functioning of the collective treatment plant. The study was carried out over a period of two years, with 48 samples of wastewater flowing in from the sewage network and delivered with the slurry tanker collected and subjected to physical and chemical analysis. The analysis included: Biochemical Oxygen Demand (BOD5), Chemical Oxygen Demand (COD), and Total Nitrogen (TN). In addition, the study defined the daily balance of the amount of inflowing and transported wastewater. Based on the analysis carried out, it was found that the unit loads of BOD5, COD and TN in the mixture of wastewater subjected to the treatment process will be at the level of loads assumed in the project, when the share of supplied wastewater, i.e., from cesspool, will be at the level of 5% of the total amount of wastewater. Considering that in the analysed period the total average daily amount of wastewater subjected to the treatment process was 253.5 m3·d−1, the optimal amount of wastewater delivered should be 12.7 m3 in each day of the week.
Effect of Deep Vertical Rotary Tillage on Soil Properties and Sugarcane Biomass in Rainfed Dry-Land Regions of Southern China
Authors: Li Xuezhang , Wei Benhui , Xu Xianli , Zhou Jia
Published: December 2020

Conventional tillage (CT) is the main agricultural practice for rainfed sugarcane production in China. However, subsoil compaction formed by long-term CT is harmful to soil properties and crop yield. Deep vertical rotary tillage (DVRT) is a novel tillage practice, which can alleviate subsoil compaction and create a more favorable soil environment for crop growth. This study aims to compare the effects of DVRT and CT practices on soil properties and sugarcane characteristics. The results showed that DVRT reduced soil bulk density and increased soil porosity to some extent in the 0–40 cm soil profile. Soil water storage of DVRT was relatively higher compared with CT due to the combined effects of soil water holding capacity and vegetation water consumption. There was significantly higher final aboveground biomass, underground biomass, and plant height from DVRT compared to CT (p < 0.05), but there were no differences in final root length between tillage practices. Compared with CT, DVRT with one and two growth-years significantly increased aboveground biomass by 68.90% and 50.14%, respectively. Generally, the soil properties and sugarcane characteristics were not significantly different between DVRT with different growth years. DVRT is recommended as a tillage practice for sustainable agriculture in rainfed regions.
Assessment of the Quality Education Awareness Competence of Pre-Service Educators Using Vignettes
Authors: Renta-Davids Ana-Inés , Camarero-Figuerola Marta , Tierno-García Juana-María
Published: December 2020

For decades, higher education institutions have been incorporating sustainability principles. Spanish universities have considered it important that sustainability principles are integrated into the university curriculum, in order to contribute to the education of socially-responsible professionals. The present research aims to estimate pre-service educators’ awareness of selected challenges posed by Sustainable Development Goal 4 (SDG 4), and it identifies the learning experiences that contribute the most to these students’ awareness of quality education. Moreover, the study aims to explore the potential of the use of the vignettes approach for the evaluation of students’ awareness. The study drew on a sample of n = 202 first year students pursuing education-related degrees at a Spanish university. The data was collected using a vignette survey, and the data analysis was conducted using quantitative and qualitative techniques. The results show a high degree of awareness within the context of most of the challenges posed by SDG 4 and, in the search for the factors that contributed to the degree of awareness in the students, personal interests and classes taken at the university stand out. In addition, the study provides the methodological implications of the use of the vignette approach in the assessment of students’ awareness. This paper discusses the practical implications for universities of the integration of Education for Sustainable Development (ESD) competences into the curriculum.
Financial Sustainability of Local Governments in the Eyes of Finnish Local Politicians
Authors: Sinervo Lotta-Maria
Published: December 2020

Local government aims for financial sustainability in ensuring the wellbeing of citizens at the expense of their tax incomes. As members of local councils, local politicians are the highest decision-makers who are responsible for setting the aims and evaluating the outcome of municipal operations. Hence, local politicians’ notions on financial sustainability play an important role in sustainable decision-making. Although financial sustainability is seen important, previous research is limited in providing studies on the multidimensional nature of financial sustainability. Prior research has focused on the measurement of financial sustainability, often in the contexts of financial difficulties. This paper aims to answer this research gap by studying local politicians’ interpretations on financial sustainability and contributing to a deeper understanding of the phenomenon. This qualitative study employs interview data collected from 24 Finnish local politicians from five municipalities. Based on the content analysis of the interview data, financial sustainability is, in the eyes of local politicians, a political issue with multiple factors in and out of the reach of decision-makers. These notions could be utilized in future research in developing methods for measuring and managing financial sustainability in local governments.
A Life Cycle Framework for the Identification of Optimal Building Renovation Strategies Considering Economic and Environmental Impacts
Authors: Caruso Martina , Pinho Rui , Bianchi Federica , Cavalieri Francesco , Lemmo Maria Teresa
Published: December 2020

It is well-known that the existing building stock is responsible for non-renewable resource depletion, energy and material consumption, and greenhouse gas (GHG) emissions. Life cycle analysis (LCA) procedures have thus been developed, in recent years, to assess the environmental impact of construction and operational phases through the entire building life cycle. Furthermore, the economic, environmental, and social consequences of recent natural disasters have encouraged the additional integration of hazard-induced impacts into common LCA procedures for buildings. Buildings are however expected to provide the population with safe living and working conditions, even when hit by different types of hazards during their service life, such as earthquakes. Hence, next-generation LCA procedures should include not only hazard-induced impacts, but also the contribution of potential retrofitting strategies that may alter the structural and energy performances of buildings throughout their remaining service life. This study presents a life cycle framework that accounts for the contributions of initial construction, operational energy consumption, earthquake-induced damage repair activities, potential retrofitting interventions, and demolition (considering also its associated potential material recycling), in terms of both monetary costs and environmental impacts. The proposed methodology can be used to undertake cost-benefit analyses aimed at identifying building renovation strategies that lead to an optimal balance, considering both economic and environmental impacts, between reduction of seismic vulnerability and increase of energy efficiency of a building, depending on the climatic conditions and the seismic hazard at the site of interest.
Reflexive Governance for Infrastructure Resilience and Sustainability
Authors: Ferrari Mattia
Published: December 2020

Infrastructure development is one of the areas most in need of climate-resilient and friendly investments. The COVID-19 pandemic will increase government spending in this direction. This paper demonstrates how the principles of reflexive governance are key to unlock the full potential of such investments. By establishing an adaptive and redundant institutional capacity in the provision of public services, reflexive governance can enable a successful path towards climate resilience and sustainability.
Crows and Ravens as Indicators of Socioeconomic and Cultural Changes in Urban Areas
Authors: Król Karol , Hernik Józef
Published: December 2020

Crows and ravens are deeply symbolic. They have featured in myriads of myths and legends. They have been perceived as ominous, totemic, but also smart and intelligent birds by various peoples around the world. They have heralded bad luck and evoked negative associations. How are they perceived today, in the time of the Internet, mobile devices, and popular culture? Is the young generation familiar with the legends, tales, or beliefs related to these birds? The purpose of this paper was to determine the place of the crow and raven in the consciousness of young generations, referred to as Generation Y and Generation Z. The authors proposed that young people, Generations Y and Z, were not familiar with the symbolism of crows and ravens, attached no weight to them, and failed to appreciate their past cultural roles. The survey involved respondents aged 60 and over as well. Both online surveys and direct, in-depth, structured interviews were employed. It was demonstrated that the crow and raven are ominous birds that herald bad luck and evoke negative associations and feelings in the consciousness of young generations. The perception of crows and ravens by the younger generation stems mostly from popular culture and the appearance and behavior of the birds. The ways in which crows and ravens are represented in popular culture and perceived by the public may directly affect their fate in areas with human presence.
Land Use/Land Cover Assessment over Time Using a New Weighted Environmental Index (WEI) Based on an Object-Oriented Model and GIS Data
Authors: Rodrigo-Ilarri Javier , Romero Claudia P. , Rodrigo-Clavero María-Elena
Published: December 2020

For the first time, this paper introduces and describes a new Weighted Environmental Index (WEI) based on object-oriented models and GIS data. The index has been designed to integrate all the available information from extensive and detailed GIS databases. After the conceptual definition of the index has been justified, two applications for the regional and local scales of the WEI are shown. The applications analyze the evolution over time of the environmental value from land-use change for two different case studies in Spain: the Valencian Region and the L’Alcora municipality. Data have been obtained from the Spanish Land Occupation Information System (SIOSE) public database and integrate GIS information about land use/land cover on an extensive, high-detailed scale. Results demonstrate the application of the WEI to real case studies and the importance of integrating statistical analysis of WEI evolution over time to arrive at a better understanding of the socio-economic and environmental processes that induce land-use change.
The Key Drivers of Born-Sustainable Businesses: Evidence from the Italian Fashion Industry
Authors: Dicuonzo Grazia , Galeone Graziana , Ranaldo Simona , Turco Mario
Published: December 2020

Environmental pollution has become one of the most pressing preoccupations for governments, policymakers, and consumers. For this reason, many companies make constant efforts to comply with international laws and standards on ethics, social responsibility, and environmental protection. Fashion companies are among the main producers of pollution because their manufacturing processes result in highly negative outcomes for the environment. In recent years, numerous fashion industries have been transforming their production policies to be sustainable, while others are already born as sustainable businesses. Based on Resource-Based View (RBV) theory and Natural Resource-Based View theory (NRBV), this paper aims at understanding how internal and external factors stimulate born-sustainable businesses operating in the fashion sector, adopting a multiple case study methodology. Our analysis shows that culture, entrepreneurial orientation of the founders, and the proximity of the suppliers among the internal factors, combined with the increase of green consumers as an external factor, foster the creation of green businesses. At the same time, neither current legislation nor the dynamism and competitiveness of markets have influenced the choice of the companies’ founders to start a business based on green production logic. These results reveal the centrality of the founders’ sensitivity toward green strategies to create a sustainable business. The findings have practical implications because they could support regulatory institutions to introduce some incentives that more clearly encourages companies that choose to adopt sustainable business models from the founding, by acting to the internal and external key factors that drive born-sustainable businesses. This study also provides an extension of the existing literature on sustainable born companies, offering researchers useful information on internal and internal factors that promote the adoption of green policies in the fashion industry.
Discovering Social Desires and Conflicts from Subculture Narrative Multimedia
Authors: Lee O-Joun , Hong Heelim , You Eun-Soon , Kim Jin-Taek
Published: December 2020

This study aims at discovering social desires and conflicts from subculture narrative multimedia. Since one of the primary purposes in the subculture consumption is vicarious satisfaction, the subculture works straightforwardly describe what their readers want to achieve and break down. The latent desires and conflicts are useful for understanding our society and realizing smart governance. To discover the social issues, we concentrate on that each subculture genre has a unique imaginary world that consists of inventive subjects. We suppose that the subjects correspond to individual social issues. For example, game fiction, one of the popular genres, describes a world like video games. Under game systems, everyone gets the same results for the same efforts, and it can be interpreted as critics for the social inequality issue. Therefore, we first extract subjects of genres and measure the membership degrees of subculture works for each genre. Using the subjects and membership degrees, we build a genealogy tree of subculture genres by tracing their evolution and differentiation. Then, we extract social issues by searching for the subjects that come from the real world, not imaginary. If a subculture work criticizes authoritarianism, it might include subjects such as government officials and bureaucrats. A combination of the social issues and genre genealogy tree will show diachronic changes in our society. We have evaluated the proposed methods by extracting social issues reflected in Korean web novels.
Maintaining Sustainable Practices in SMEs: Insights from Sweden
Authors: Tsvetkova Desislava , Bengtsson Emma , Durst Susanne
Published: December 2020

By addressing the scarce knowledge of sustainability practices in small and medium-sized enterprises (SMEs), the purpose of the paper is to identify drivers for the maintenance of such practices and their extent. Based on a series of semi-structured interviews conducted with small Swedish firms, our findings reveal certain external (i.e., suppliers and customers) and internal (i.e., employees, organizational culture, and competitive advantage) factors that are strongly linked to the maintenance of sustainability practices. Apart from these, the longevity of the business was identified as an additional sustainability maintenance factor. This factor has not been discussed previously in the literature, so given its strength, we suggest to have it stand separately. The findings further indicate that Swedish SMEs are not limited by size concerning their sustainability practices but they are consciously working on progressing in their efforts. Furthermore, drawing on our findings we provide practical implications that will help business owners’, managers, and policymakers to better enable sustainability practices.
Cotton and Surgical Masks—What Ecological Factors Are Relevant for Their Sustainability?
Authors: Schmutz Mélanie , Hischier Roland , Batt Till , Wick Peter , Nowack Bernd , Wäger Patrick , Som Claudia
Published: December 2020

With the COVID-19 pandemic, wearing facemasks became common. Many initiatives arose to develop new types of reusable textile masks in order to overcome a shortage of surgical masks for the health care personnel and for the civil society. Having such high demand of facemasks raises the question about what factors define their environmental sustainability. This paper presents a first simplified Life-Cycle-Assessment (LCA) comparing surgical masks and 2-layered cotton masks. The aim of the paper is to identify and understand the relevant ecological factors in order to support decision making on how textile masks could be designed in a more sustainable manner. The results of our simplified LCA show that the cotton masks were performing better than the surgical masks and vice versa depending on the environmental impact that was looked at. It was also found that the lifespan and the weight of the cotton masks are two variables having a great importance for their overall environmental performance.
Exploring and Illustrating the (Inter-)Disciplinarity of Waste and Zero Waste Management
Authors: Hannon Jonathon
Published: December 2020

The aim of this research was to explore the composition, contribution and arrangement of scientific disciplines, across the spectrum from, traditional waste management, to alternative, contemporary approaches, such as the zero waste and circular economy movements. The purpose of this research is to better address the challenge of waste by enhancing the understanding and future employment of interdisciplinary theory and practice. The first outcome of the review strategy employed in this research was to, illustrate a generic rubric of scientific disciplines and to highlight and discuss key disciplines most obviously connected to waste management. This graphic illustration was then overlain with the findings from systematically reviewing a diverse range of indicators and sources of insight and information on the disciplines and interdisciplinarity evident across the spectrum from waste to zero waste management approaches. The resulting final graphic illustrates the intense disciplinarity and hence, the significant interdisciplinary requirement of (zero) waste management. An observation emerging from this research is that, successfully managing the globalised complexity of waste issues and in this, addressing the challenges of climate change and sustainable development, requires cultivating synergy between multiple scientific and practical disciplines. The scope of this challenge increases with the adoption of more holistic, aspirational, countercultural approaches, such as zero waste. It is argued that, enhancing interdisciplinary training and collaboration in research, education and industry/community practice, will improve performance across the spectrum of worldviews, from waste to zero waste.