bluuebunny/crossref_metadata_2025 huggingface dataset:
Topology Reconstruction of BIM Wall Objects from Point Cloud Data
Authors: Bassier Maarten , Vergauwen Maarten
Published: June 2020

The processing of remote sensing measurements to Building Information Modeling (BIM) is a popular subject in current literature. An important step in the process is the enrichment of the geometry with the topology of the wall observations to create a logical model. However, this remains an unsolved task as methods struggle to deal with the noise, incompleteness and the complexity of point cloud data of building scenes. Current methods impose severe abstractions such as Manhattan-world assumptions and single-story procedures to overcome these obstacles, but as a result, a general data processing approach is still missing. In this paper, we propose a method that solves these shortcomings and creates a logical BIM model in an unsupervised manner. More specifically, we propose a connection evaluation framework that takes as input a set of preprocessed point clouds of a building’s wall observations and compute the best fit topology between them. We transcend the current state of the art by processing point clouds of both straight, curved and polyline-based walls. Also, we consider multiple connection types in a novel reasoning framework that decides which operations are best fit to reconstruct the topology of the walls. The geometry and topology produced by our method is directly usable by BIM processes as it is structured conform the IFC data structure. The experimental results conducted on the Stanford 2D-3D-Semantics dataset (2D-3D-S) show that the proposed method is a promising framework to reconstruct complex multi-story wall elements in an unsupervised manner.
A Hybrid Approach Combining Conceptual Hydrological Models, Support Vector Machines and Remote Sensing Data for Rainfall-Runoff Modeling
Authors: Kwon Moonhyuk , Kwon Hyun-Han , Han Dawei
Published: June 2020

Understanding catchment response to rainfall events is important for accurate runoff estimation in many water-related applications, including water resources management. This study introduced a hybrid model, the Tank-least squared support vector machine (LSSVM), that incorporated intermediate state variables from a conceptual tank model within the least squared support vector machine (LSSVM) framework in order to describe aspects of the rainfall-runoff (RR) process. The efficacy of the Tank-LSSVM model was demonstrated with hydro-meteorological data measured in the Yongdam Catchment between 2007 and 2016, South Korea. We first explored the role of satellite soil moisture (SM) data (i.e., European Space Agency (ESA) CCI) in the rainfall-runoff modeling. The results indicated that the SM states inferred from the ESA CCISWI provided an effective means of describing the temporal dynamics of SM. Further, the Tank-LSSVM model’s ability to simulate daily runoff was assessed by using goodness of fit measures (i.e., root mean square error, Nash Sutcliffe coefficient (NSE), and coefficient of determination). The Tank-LSSVM models’ NSE were all classified as “very good” based on their performance during the training and testing periods. Compared to individual LSSVM and Tank models, improved daily runoff simulations were seen in the proposed Tank-LSSVM model. In particular, low flow simulations demonstrated the improvement of the Tank-LSSVM model compared to the conventional tank model.
Performances Evaluation of a Low-Cost Platform for High-Resolution Plant Phenotyping
Authors: Rossi Riccardo , Leolini Claudio , Costafreda-Aumedes Sergi , Leolini Luisa , Bindi Marco , Zaldei Alessandro , Moriondo Marco
Published: June 2020

This study aims to test the performances of a low-cost and automatic phenotyping platform, consisting of a Red-Green-Blue (RGB) commercial camera scanning objects on rotating plates and the reconstruction of main plant phenotypic traits via the structure for motion approach (SfM). The precision of this platform was tested in relation to three-dimensional (3D) models generated from images of potted maize, tomato and olive tree, acquired at a different frequency (steps of 4°, 8° and 12°) and quality (4.88, 6.52 and 9.77 µm/pixel). Plant and organs heights, angles and areas were extracted from the 3D models generated for each combination of these factors. Coefficient of determination (R2), relative Root Mean Square Error (rRMSE) and Akaike Information Criterion (AIC) were used as goodness-of-fit indexes to compare the simulated to the observed data. The results indicated that while the best performances in reproducing plant traits were obtained using 90 images at 4.88 µm/pixel (R2 = 0.81, rRMSE = 9.49% and AIC = 35.78), this corresponded to an unviable processing time (from 2.46 h to 28.25 h for herbaceous plants and olive trees, respectively). Conversely, 30 images at 4.88 µm/pixel resulted in a good compromise between a reliable reconstruction of considered traits (R2 = 0.72, rRMSE = 11.92% and AIC = 42.59) and processing time (from 0.50 h to 2.05 h for herbaceous plants and olive trees, respectively). In any case, the results pointed out that this input combination may vary based on the trait under analysis, which can be more or less demanding in terms of input images and time according to the complexity of its shape (R2 = 0.83, rRSME = 10.15% and AIC = 38.78). These findings highlight the reliability of the developed low-cost platform for plant phenotyping, further indicating the best combination of factors to speed up the acquisition and elaboration process, at the same time minimizing the bias between observed and simulated data.
Electrical Modeling of the Growth and Differentiation of Skeletal Myoblasts Cell Cultures for Tissue Engineering
Authors: Olmo Alberto , Yuste Yaiza , Serrano Juan Alfonso , Maldonado-Jacobi Andres , Pérez Pablo , Huertas Gloria , Pereira Sheila , Yufera Alberto , de la Portilla Fernando
Published: June 2020

In tissue engineering, of utmost importance is the control of tissue formation, in order to form tissue constructs of clinical relevance. In this work, we present the use of an impedance spectroscopy technique for the real-time measurement of the dielectric properties of skeletal myoblast cell cultures. The processes involved in the growth and differentiation of these cell cultures in skeletal muscle are studied. A circuit based on the oscillation-based test technique was used, avoiding the use of high-performance circuitry or external input signals. The effect of electrical pulse stimulation applied to cell cultures was also studied. The technique proved useful for monitoring in real-time the processes of cell growth and estimating the fill factor of muscular stem cells. Impedance spectroscopy was also useful to study the real-time monitoring of cell differentiation, obtaining different oscillation amplitude levels for differentiated and undifferentiated cell cultures. Finally, an electrical model was implemented to better understand the physical properties of the cell culture and control the tissue formation process.
Reliability of Kinovea® Software and Agreement with a Three-Dimensional Motion System for Gait Analysis in Healthy Subjects
Authors: Fernández-González Pilar , Koutsou Aikaterini , Cuesta-Gómez Alicia , Carratalá-Tejada María , Miangolarra-Page Juan Carlos , Molina-Rueda Francisco
Published: June 2020

Gait analysis is necessary to diagnose movement disorders. In order to reduce the costs of three-dimensional motion capture systems, new low-cost methods of motion analysis have been developed. The purpose of this study was to evaluate the inter- and intra-rater reliability of Kinovea® and the agreement with a three-dimensional motion system for detecting the joint angles of the hip, knee and ankle during the initial contact phase of walking. Fifty healthy subjects participated in this study. All participants were examined twice with a one-week interval between the two appointments. The motion data were recorded using the VICON Motion System® and digital video cameras. The intra-rater reliability showed a good correlation for the hip, the knee and the ankle joints (Intraclass Correlation Coefficient, ICC > 0.85) for both observers. The ICC for the inter-rater reliability was >0.90 for the hip, the knee and the ankle joints. The Bland–Altman plots showed that the magnitude of disagreement was approximately ±5° for intra-rater reliability, ±2.5° for inter-rater reliability and around ±2.5° to ±5° for Kinovea® versus Vicon®. The ICC was good for the hip, knee and ankle angles registered with Kinovea® during the initial contact of walking for both observers (intra-rater reliability) and higher for the agreement between observers (inter-rater reliability). However, the Bland–Altman plots showed disagreement between observers, measurements and systems (Kinovea® vs. three-dimensional motion system) that should be considered in the interpretation of clinical evaluations.
Assessing the Quality of Heart Rate Variability Estimated from Wrist and Finger PPG: A Novel Approach Based on Cross-Mapping Method
Authors: Nardelli Mimma , Vanello Nicola , Galperti Guenda , Greco Alberto , Scilingo Enzo Pasquale
Published: June 2020

The non-invasiveness of photoplethysmographic (PPG) acquisition systems, together with their cost-effectiveness and easiness of connection with IoT technologies, is opening up to the possibility of their widespread use. For this reason, the study of the reliability of PPG and pulse rate variability (PRV) signal quality has become of great scientific, technological, and commercial interest. In this field, sensor location has been demonstrated to play a crucial role. The goal of this study was to investigate PPG and PRV signal quality acquired from two body locations: finger and wrist. We simultaneously acquired the PPG and electrocardiographic (ECG) signals from sixteen healthy subjects (aged 28.5 ± 3.5, seven females) who followed an experimental protocol of affective stimulation through visual stimuli. Statistical tests demonstrated that PPG signals acquired from the wrist and the finger presented different signal quality indexes (kurtosis and Shannon entropy), with higher values for the wrist-PPG. Then we propose to apply the cross-mapping (CM) approach as a new method to quantify the PRV signal quality. We found that the performance achieved using the two sites was significantly different in all the experimental sessions (p < 0.01), and the PRV dynamics acquired from the finger were the most similar to heart rate variability (HRV) dynamics.
Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks
Authors: Kumar Kirshna , Kumar Sushil , Kaiwartya Omprakash , Sikandar Ajay , Kharel Rupak , Mauri Jaime Lloret
Published: June 2020

Aerial ad-hoc networks have the potential to enable smart services while maintaining communication between the ground system and unmanned aerial vehicles (UAV). Previous research has focused on enabling aerial data-centric smart services while integrating the benefits of aerial objects such as UAVs in hostile and non-hostile environments. Quality of service (QoS) provisioning in UAV-assisted communication is a challenging research theme in aerial ad-hoc networks environments. Literature on aerial ad hoc networks lacks cooperative service-oriented modeling for distributed network environments, relying on costly static base station-oriented centralized network environments. Towards this end, this paper proposes a quality of service provisioning framework for a UAV-assisted aerial ad hoc network environment (QSPU) focusing on reliable aerial communication. The UAV’s aerial mobility and service parameters are modelled considering highly dynamic aerial ad-hoc environments. UAV-centric mobility models are utilized to develop a complete aerial routing framework. A comparative performance evaluation demonstrates the benefits of the proposed aerial communication framework. It is evident that QSPU outperforms the state-of-the-art techniques in terms of a number of service-oriented performance metrics in a UAV-assisted aerial ad-hoc network environment.
Bioluminescent Ratiometric Indicator for Analysis of Water Hardness in Household Water
Authors: Hossain Md Nadim , Ishida Ryuichi , Hattori Mitsuru , Matsuda Tomoki , Nagai Takeharu
Published: June 2020

Water hardness (WH) is a useful parameter for testing household water, such as drinking, cooking, and washing water. Many countries around the world use pipeline water in their houses, but there is a need to monitor the WH because hard water has a negative impact on appliances. Currently, WH is often measured using chemical dye-based WH indicators, and these techniques require expensive equipment, and trained personnel. Therefore, a low-cost and simple measurement method has been desired. Here, we report LOTUS-W, which consists of a luciferase, Nanoluc, a yellow fluorescent protein Venus, and a Ca2+/Mg2+ detection domain of human centrin 3. The binding of Ca2+/Mg2+ to this indicator changes the conformation of human centrin 3, and induces bioluminescence resonance energy transfer (BRET) from Nanoluc to Venus, which changes its emission spectrum about 140%. The dissociation constants of LOTUS-W for Ca2+/Mg2+ are approximately several mM, making it suitable for measuring WH in the household water. With this indicator in combination with a smartphone, we have demonstrated that it is possible to evaluate WH easily and quickly. This novel indicator has the potential to be used for measuring not only household water but also water used in the food industry, etc.
A Review of Bolt Tightening Force Measurement and Loosening Detection
Authors: Miao Rusong , Shen Ruili , Zhang Songhan , Xue Songling
Published: June 2020

Pre-stressed bolted joints are widely used in civil structures and industries. The tightening force of a bolt is crucial to the reliability of the joint connection. Loosening or over-tightening of a bolt may lead to connectors slipping or bolt strength failure, which are both harmful to the main structure. In most practical cases it is extremely difficult, even impossible, to install the bolts to ensure there is a precise tension force during the construction phase. Furthermore, it is inevitable that the bolts will loosen due to long-term usage under high stress. The identification of bolt tension is therefore of great significance for monitoring the health of existing structures. This paper reviews state-of-the-art research on bolt tightening force measurement and loosening detection, including fundamental theories, algorithms, experimental set-ups, and practical applications. In general, methods based on the acoustoelastic principle are capable of calculating the value of bolt axial stress if both the time of incident wave and reflected wave can be clearly recognized. The relevant commercial instrument has been developed and its algorithm will be briefly introduced. Methods based on contact dynamic phenomena such as wave energy attenuation, high-order harmonics, sidebands, and impedance, are able to correlate interface stiffness and the clamping force of bolted joints with respective dynamic indicators. Therefore, they are able to detect or quantify bolt tightness. The related technologies will be reviewed in detail. Potential challenges and research trends will also be discussed.
Smart Bus Stops as Interconnected Public Spaces for Increasing Social Inclusiveness and Quality of Life of Elder Users
Authors: Padrón Nápoles Víctor Manuel , Gachet Páez Diego , Esteban Penelas José Luis , García Pérez Olalla , García Santacruz María José , Martín de Pablos Fernando
Published: June 2020

As the Smart City concept evolves, it necessarily incorporates more sustainability and inclusiveness features. In this context, the mobility of people is still one of the major challenges for cities. Among the most vulnerable group of citizens are the elderly, as they demand special requirements in the design of smart mobility. At the same time, smart cities’ technologies could be used to maintain their quality of life. From an architectural and sociological point of view, smart cities change the meaning and the use of public spaces, from physical meeting places to relational public spaces, in which humans use interposed technological means and information flows. This leads to the concept of Interconnected Public Spaces: a mixture of physical and virtual environments, generating interconnections at a planetary scale, that can be used to attract elderly people for collectively sharing experiences outdoor in public spaces (parks, squares or bus stops, in any city on our planet), increasing their physical form and stimulating them mentally, socially and emotionally. This paper describes the development of an inclusive smart bus stop prototype and the use of its ICT infrastructure to build Interconnected Public Spaces.
Business Models’ Innovations to Overcome Hybridity-Related Tensions in Sustainable Entrepreneurship
Authors: Matzembacher Daniele Eckert , Raudsaar Mervi , Barcellos Marcia Dutra de , Mets Tõnis
Published: June 2020

This paper aims to investigate how sustainable entrepreneurs innovate in business models to overcome their hybridity-related tensions to achieve environmental, social, and financial goals. A case study was conducted on 12 organizations in seven countries from October 2018 to June 2019 through observation visits, interviews, and secondary data collection. To analyze the data, a content analysis was applied with the help of NVivo Software. The analysis category is based on the definition of the pillars of business models: (1) Value proposition, (2) value creation/delivery, and (3) value capture. Concerning value proposition, organizations engage various stakeholders on developing emotions related to sustainable behaviors. They use the idea of community to promote it, fostering the sharing of intangible values. Associated with these actions, organizations offer more convenience accessing these products or services, home deliveries, facilitating access by geo-location, price reduction, and promoting consumers’ education. Regarding value creation/delivery, companies promote partnerships with other stakeholders as part of the main business strategy. They run the business while promoting a social movement. One is dependent on the other. In their engagement in sustainability discussion forums and practical activities, they put together consumers, suppliers, and also other agents outside their vertical supply chain. Operations of all companies are highly internet-based. Social media and transparency are also relevant to their operations. The main characteristic of value capture is that organizations integrate sustainability into their strategy in a way that, just by doing business, they fulfill their social, environmental, and economic missions. Therefore, through innovation in business models, these organizations overcome hybridity-related tensions and achieve financial stability while positively impacting society. The contribution to the literature was achieved by identifying business model innovations in sustainable entrepreneurship, analyzing their characteristics and mechanisms to overcome hybridity-related tensions, and providing empirical evidence about how business models can create and capture different and multiple forms of value.
Environmental Factors and Stakeholders Influence on Professional Sport Organisations Engagement in Sustainable Corporate Social Responsibility: A South African Perspective
Authors: Moyo Talent , Duffett Rodney , Knott Brendon
Published: June 2020

As the sporting industry has become more professionalised, there have been an increased number of studies focused on corporate social responsibility (CSR) engagement within this sector. However, with unique aspects of professional sport organisations and limited studies on this in developing market contexts, this paper reports on a study that aimed to investigate the impact of environmental factors and stakeholders that have an impact on sustainable CSR engagement in the South African professional sport industry. Following an interpretivist philosophy, this study adopted a qualitative research approach to collect the primary data. Key stakeholders were strategically selected from six South African professional sport organisations and ten in-depth interviews were conducted. This inquiry revealed that several internal and external environmental factors influence sustainable CSR engagement by professional sport organisations, namely, (1) internal objectives, funds, people and resources and (2) external uncontrollable factors, economy, and community awareness. The study also found that corporate partnerships, non-corporate partnerships and targeted communities were the main stakeholder types involved in CSR activities. The study, therefore, expands the understanding of CSR engagement within the professional sport industry in South Africa, also contributing to CSR practice and policy within this sector by proposing the engagement in more sustainable CSR initiatives.
What Value Does the Public Put on Managing and Protecting an Endangered Marine Species? The Case of the Finless Porpoise in South Korea
Authors: Kim Ju-Hee , Kim Joseph , Yoo Seung-Hoon
Published: June 2020

In South Korea, the finless porpoise (FP) is one of representative endangered marine species. The country is trying to manage and protect FPs through several costly measures and demands information about what value the public puts on the management and protection. This article, therefore, explores the South Korean public perspective on managing and protecting FP using a contingent valuation (CV) technique. More specifically, the data on the public willingness to pay (WTP) for the management and protection were collected from a CV survey of 1000 households across the country, adopting a dichotomous choice question format. The household yearly WTP for the management and protection was estimated, with statistical significance, to be 2730 KRW (2.32 USD). If this value is expanded to all households in South Korea, the national value amounts to 54.19 billion KRW (46.00 million USD) per annum. This can be interpreted as the economic value or benefit of managing and protecting FP.
Coercive, Normative and Mimetic Pressures as Drivers of Environmental Management Accounting Adoption
Authors: Latif Badar , Mahmood Zeeshan , Tze San Ong , Mohd Said Ridzwana , Bakhsh Allah
Published: June 2020

This paper explores the impact of institutional pressures on the adoption of environmental management accounting (EMA). EMA has been recognized as a valuable mechanism to deal with environmental issues. This paper uses institutional theory to explain the drivers of EMA adoption in Pakistan. Data were collected from the manufacturing sector in Pakistan through a questionnaire-based survey. The study concludes that coercive, normative and mimetic pressures have a significant and positive impact on the adoption of EMA.
Developments of Economic Growth and Employment in Bioeconomy Sectors across the EU
Authors: Ronzon Tévécia , Piotrowski Stephan , Tamosiunas Saulius , Dammer Lara , Carus Michael , M’barek Robert
Published: June 2020

The development of the bioeconomy—or the substitution of fossil-based materials and energy by bio-based solutions—is considered a strategic economic orientation by the European Commission and its Green Deal. This paper presents a methodology to monitor the contribution of the bioeconomy to jobs and growth within the European Union (EU) and its Member States. Classified as an ‘‘output-based’’ approach, the methodology relies on expert estimations of the biomass content of the bio-based materials produced in the EU and the subsequent calculation of ‘‘sectoral’’ bio-based shares by using Eurostat statistics on the production of manufactured goods (prom). Sectoral shares are applied to indicators of employment, and value added is reported in Eurostat–Structural business statistics. This paper updates the methodology and time series presented in 2018. The bioeconomy of the EU (post-Brexit composition) employed around 17.5 million people and generated €614 billion of value added in 2017. The study evidences structural differences between EU national bioeconomies, which become more pronounced over time, especially in terms of the level of apparent labour productivity of national bioeconomies. Finally, this paper describes cases of transition over the 2008–2017 period.
From Nucleotides to Satellite Imagery: Approaches to Identify and Manage the Invasive Pathogen Xylella fastidiosa and Its Insect Vectors in Europe
Authors: Raffini Francesca , Bertorelle Giorgio , Biello Roberto , D’Urso Guido , Russo Danilo , Bosso Luciano
Published: June 2020

Biological invasions represent some of the most severe threats to local communities and ecosystems. Among invasive species, the vector-borne pathogen Xylella fastidiosa is responsible for a wide variety of plant diseases and has profound environmental, social and economic impacts. Once restricted to the Americas, it has recently invaded Europe, where multiple dramatic outbreaks have highlighted critical challenges for its management. Here, we review the most recent advances on the identification, distribution and management of X. fastidiosa and its insect vectors in Europe through genetic and spatial ecology methodologies. We underline the most important theoretical and technological gaps that remain to be bridged. Challenges and future research directions are discussed in the light of improving our understanding of this invasive species, its vectors and host–pathogen interactions. We highlight the need of including different, complimentary outlooks in integrated frameworks to substantially improve our knowledge on invasive processes and optimize resources allocation. We provide an overview of genetic, spatial ecology and integrated approaches that will aid successful and sustainable management of one of the most dangerous threats to European agriculture and ecosystems.
Levee Overtopping Risk Assessment under Climate Change Scenario in Kao-Ping River, Taiwan
Authors: Wei Hsiao-Ping , Su Yuan-Fong , Cheng Chao-Tzuen , Yeh Keh-Chia
Published: June 2020

With the growing concern about the failure risk of river embankments in a rapidly changing climate, this study aims to quantify the overtopping probability of river embankment in Kao-Ping River basin in southern Taiwan. A water level simulation model is calibrated and validated with historical typhoon events and the calibrated model is further used to assess overtopping risk in the future under a climate change scenario. A dynamic downscaled projection dataset, provided by Meteorological Research Institute (MRI) has been further downscaled to 5-km grids and bias-corrected with a quantile mapping method, is used to simulate the water level of Kao-Ping River in the future. Our results highlighted that the overtopping risk of Kao-Ping River increased by a factor of 5.7~8.0 by the end of the 21st century.
Off-Farm Employment, Forest Clearing and Natural Resource Use: Evidence from the Ecuadorian Amazon
Authors: Vasco Cristian , Valdiviezo Rodrigo , Hernández Herman , Tafur Valdano , Eche David , Jácome Estefanía
Published: June 2020

Off-farm employment in rural households has been cited in the literature as a potentially ideal alternative to reduce forest clearing and pressure on natural resources, since it provides income while at the same time taking household labor away from the farm. Nonetheless, empirical research on the relationship between off-farm work and natural resource use is still scarce. This paper examines the impact of off-farm work on forest clearing, logging, hunting, and fishing among both migrant colonists and indigenous populations in the Ecuadorian Amazon. In contrast to prior research, we use an instrumental variable approach to control for the potential endogeneity of off-farm work with respect to natural resource use. The results indicate that the higher the number of days worked off-farm at the household level, the lower the forest clearing. On the other hand, the number of days worked off-farm has no effect on logging, hunting, and fishing. The implications of this for sustainable development and conservation are explored in the conclusion section.
Community Supported Agriculture as a Driver of Food-Related Well-Being
Authors: Birtalan Ilona Liliána , Bartha Attila , Neulinger Ágnes , Bárdos György , Oláh Attila , Rácz József , Rigó Adrien
Published: June 2020

Background: There is a growing amount of research interest to understand the role of food in well-being. The demand for community supported agriculture (CSA), bringing people spatially, economically, and socially closer to food, is continuously expanding. CSAs play an important role in both sustainable agriculture practices and influencing consumers’ food-related practices, but yet have received little attention in well-being research. Methods: This study explores food-related well-being among CSA members by using an exploratory, qualitative research design and a thematic analysis of semi-structured interviews. Results: The findings stress the relevance of psychological, social, and spiritual aspects of food-related well-being beyond the nutritional characteristics of food in CSA. Conclusion: The role of sustainable agriculture in contributing to food-related well-being becomes particularly evident based on consumers’ experiences. These results are important in convincing people that their food-related experiences belong to their perceived well-being as well as stimulating people to elevate their multidimensional expectations in relation to food.
Traditional Varieties for Local Markets: A Sustainable Proposal for Agricultural SMEs
Authors: Pérez-Caselles Cristian , Brugarolas Margarita , Martínez-Carrasco Laura
Published: June 2020

Agricultural activity has changed significantly in recent years. There is a clear trend towards monoculture and the replacement of traditional crops for others which are more productive and achieve better economic results. These factors have two fundamental consequences: on the one hand, the abandonment of agricultural activity, with the subsequent loss of rurality; on the other hand, a negative effect on the maintenance of biodiversity, because traditional varieties disappear. In this context, this paper analyses the situation of consumers and farmers of a traditional crop in the southeast of Spain: the tomato. In order to understand the current situation and the forecasted future, a choice experiment was conducted on 217 tomato consumers. Furthermore, 40 tomato farmers of this area underwent an in-depth interview. On the one hand, analysis of the consumer study established a potential segment of the population that prefers traditional varieties due to their high organoleptic properties. Meanwhile, the farmer study revealed a segment of this population that is willing to produce these types of crops. Therefore, the possibility that a certain sector of producers cultivates traditional varieties is suggested, and for these varieties to be aimed at a market niche that values them positively, making the activity of Small and Medium Enterprises (agricultural SMEs) profitable. This would improve the sustainability of the rural territory and would strengthen the preservation of genetic heritage.
Changes in Environmental Footprints Associated with Dietary Intake of Lebanese Adolescents between the Years 1997 and 2009
Authors: Naja Farah , Hwalla Nahla , El Zouhbi Anas , Abbas Nada , Chamieh Marie Claire , Nasreddine Lara , Jomaa Lamis
Published: June 2020

Despite global efforts to promote healthy and sustainable diets, the nutrition transition witnessed among adolescents worldwide poses serious threats to health and environmental sustainability. The present study aimed to assess the change in environmental footprints (EFPs) associated with dietary intakes of adolescents in Lebanon between 1997 and 2009. Data of Lebanese adolescents (10–19 years old) were drawn from national food consumption surveys during two time periods (1997, n = 451; 2009, n = 527). Dietary assessments were conducted using 24-h dietary recalls. EFP metrics, including water, energy and greenhouse gas emissions (GHG), were derived using review of existing life-cycle analyses. All EFPs increased significantly between 1997 and 2009; meat and sugar-sweetened beverages were the top contributors to the increase in these EFPs. The changes in EFPs between the two years remained significant even after adjustment for energy and other correlates: water (β = 267.7, CI: 123.5; 411.9); energy (β = 4.3, CI: 2.09; 6.52) and GHG (β = 0.44, CI: 0.11; 0.76). Findings show significant dietary shifts among adolescents that can threaten the environmental sustainability of Lebanese diets. Interventions across the food system are needed to promote adherence to healthy and sustainable diets among adolescents.
Dynamics of Smallholder Farmers’ Livelihood Adaptation Decision-Making in Central Ethiopia
Authors: Etana Dula , Snelder Denyse J. R. M. , van Wesenbeeck Cornelia F. A. , de Cock Buning Tjard
Published: June 2020

In previous studies mainly focusing on determinants of adaptation, evidence of the dynamic process of adaptation decision-making is negligible. The objective of this study was to investigate the effects of socio-cultural factors, changes in household characteristics, and climate variables on the transition from non-use to use of adaptation strategies. The study integrated primary data collected from households with secondary rainfall and temperature data. The quantitative and qualitative data were analysed using a dynamic random-effects probit model and a thematic approach, respectively. The result shows strong evidence of path dependence in which use of a strategy during the previous year significantly increases its current use. Climate-related risk perception and factual knowledge may not necessarily prompt adaptation action, whereas access to financial resources and farming-related trainings were consistent positive predictors of farmers’ adaptation decisions. The findings entail that economic capacity and the associated intrinsic motivation help few farmers to utilise robust and contesting adaptation strategies. For most households, economic problems and the consequent fatalistic attitude and risk-avoidance behaviour induce either non-use or use of responsive and accommodating strategies aimed at ensuring survival. Path dependence in non-use of adaptation strategies and sub-optimal adaptation actions demand effective institutional supports to address the behavioural and economic barriers of these households in order to build overall community resilience.
Clear Data as a New Data Typology to Enhance Sustainability in Sport
Authors: Lavallee David , Lowder Jeff , Lowder Jane
Published: June 2020

(1) Background: Data-driven analysis and decision-making are playing an increasingly crucial role in improving organizational sustainability. This paper introduces clear data as a new typology. Further, it explores the utility of clear data to enhance sustainability in sport by enabling informed decision-making for the provision of targeted support to all stakeholders. We propose this typology to capture transparent data across an organization that assess levels of perceived and received support in key areas as validated by stakeholders. (2) Methods: Item development, content validation, instrument reliability, and utility of a survey designed to enhance sustainability in the sports industry is described. (3) Results: The instrument validation process found a high level of agreement among expert panel members, excellent test consistency, and high test–retest reliability. (4) Conclusions: Recommendations are provided for how clear data can enhance sustainability in sport.
The Intention of Passengers towards Repeat Use of Biometric Security for Sustainable Airport Management
Authors: Kim Cheong , Lee Kun Chang , Costello Francis Joseph
Published: June 2020

More and more these days, airport security is having to adapt to a greater number of passengers while keeping within finer margins of precision when it comes to clearing passengers for security clearance. Therefore, analyzing potential upgrades in the security process and adopting them in a way that does not impact passenger experience has become a key activity for airport managers. One viable technological solution that is not only effective but also efficient is biometric security. This technology allows for passengers to safely clear security based on their unique biometric features. Despite its promise, airports and passengers alike are slow to adopt its use. Additionally, there were few studies that revealed insights into passengers’ intentions toward repeat use of biometric security. Hence, in our novel attempts to uncover the underlying reasons, we implemented a study on passengers’ initial and repeat usage intention based on perceived benefits and risks of biometric security technology. Based on 327 survey responses, we employed the use of SEM to extract first- and second-order constructs before evaluating our hypotheses on a finally accepted model. To be aligned with the novel attempt of this research, the results showed that both the perceived benefits and risks have a significant impact on passenger’s initial and repeat use intention of biometric security. Therefore, for all practitioners engaged in sustainable airport management, strong consideration from this research should help in creating value for passengers while mitigating the risks of adopting biometric security within airport security settings.
Social Economy as the Means to Help Achieve the Targets of Sustainable Development Goal 14
Authors: Arana Landin Sofia
Published: June 2020

There are practical challenges for the implementation of the Sustainable Development Goals (SDGs) of the United Nations 2030 Agenda. In a number of policies, social economy (SE) entities can play a central role in terms of achieving their targets. One possible method of implementing several of the SDGs is through the promotion of such entities, as these have already proved to be a successful method for achieving different objectives related to a better quality of life and sustainability (i.e., the creation of jobs, reducing inequality, local investment, responsible social practices, or environmental protection). However, it is not immediately obvious that these entities can also help implement SDG 14, which aims to “conserve and sustainably use the oceans, seas and marine resources for sustainable development.” The purpose of this paper is to empower sustainable small-scale fishing (SSF) through SE policies by means of a transdisciplinary approach. SSF is a sector that tends to be firmly rooted in local communities, with its traditions and values coinciding with those of the SE. Thus, SE entities can be an important asset to “Provide access for small-scale artisanal fishers to marine resources and markets.” Therefore, different public policies in the area of SSF are proposed here in order to ensure they are implemented correctly.
Risk-Based Approach for Informing Sustainable Infrastructure Resilience Enhancement and Potential Resilience Implication in Terms of Emergency Service Perspective
Authors: Gromek Pawel , Sobolewski Grzegorz
Published: June 2020

Infrastructure resilience ascribes into the United Nations’ agenda for sustainable development. The more information supporting infrastructure resilience enhancement, the higher chance that it will be done objectively and effectively, and especially in a sustainable way. In spite of many different approaches and data sources, there is a lack of information that respects the emergency service point of view. The main research objective is to investigate factors determining sustainable infrastructure resilience enhancement that reflects direct protection of the most important values (human life and health) by connecting multiple variants of infrastructural resilience corresponding with the voice of emergency service and based on real data risk assessment. The methodology consists in formulation of a reference model for informing sustainable infrastructure resilience enhancement, risk assessment for infrastructure safety in terms of emergency service perspective and risk-based rationalization of the enhancement manners. The model stems from urban resilience and city resilience. Its components are physical resilience, structure and setting resilience, organizational resilience, economic resilience and legal resilience. These elements are related to hazards’ character, operational specification and resource requirements, operationalizing the model in terms of emergency conditions. For risk rationalization purpose, 1,255,826 events which occurred in 2015–2019 are analysed. Nearly 70% of the summary value of infrastructural risk is related to residential buildings and other categories of objects (garages, auto repair shops, monuments of material culture, objects of natural environment, hydro-technical objects, military objects, ex-territorial objects and others). Sustainable-related manners are specified notably for abovementioned buildings and objects. Deepening the analysis of cognitive limitations gives ideas for further research.
Chemical Composition and Hazardous Effects of Leachate from the Active Municipal Solid Waste Landfill Surrounded by Farmlands
Authors: Vaverková Magdalena Daria , Elbl Jakub , Koda Eugeniusz , Adamcová Dana , Bilgin Ayla , Lukas Vojtěch , Podlasek Anna , Kintl Antonín , Wdowska Małgorzata , Brtnický Martin , Zloch Jan
Published: June 2020

Landfill leachates are potentially harmful to the environment and to human health. The objective of this study was to characterize leachates in order to analyze whether a relationship exists between the stored waste and the composition of leachates, and to detect possible leakages of pollutants into the environment. To achieve these objectives, field data, Global Positioning System data and physico-chemical data were used. Biological tests are becoming increasingly popular in determining leachate toxicity; therefore, two toxicity tests were performed with the seeds of white mustard (Sinapis alba L.) and duckweed (Lemna minor L.). Leachates were sampled from the leachate pond. Groundwater quality was monitored by using drill holes. The research and analysis carried out are important to determine their potential impact on agricultural areas located near the landfill. Demonstrably increased (P < 0.05) concentrations of heavy metals were detected only in the leachate pond which closes the landfill body, where it links up with the landfill insulation layer. Water sampled from drill holes reaching into groundwater was not contaminated. The results showed that the leachates did not leak outside the landfill. Nevertheless, they were found to be phytotoxic. Both toxicity tests showed that the increasing amount of leachates resulted in the increasing growth inhibition of the tested plants. The proper handling of leachates should have been ensured.
Environmental burdens of External Thermal Insulation Systems. Expanded Polystyrene vs. Mineral Wool: Case Study from Poland
Authors: Michalak Jacek , Czernik Sebastian , Marcinek Marta , Michałowski Bartosz
Published: June 2020

The external thermal insulation composite system (ETICS) improves the energy efficiency of buildings, and nowadays, this method is the most popular to insulate buildings in many European Union (EU) countries. The article presents the impact of producing ETICS with expanded polystyrene (EPS) or mineral wool (MW) on the natural environment using the life cycle assessment (LCA) method. The data used in the calculations, related to 2017 real production, were obtained from the externally verified inventory from five manufacturing plants located in different regions of Poland. The LCA of the examined products covered modules from A1 to A3 (cradle-to-gate), according to EN 15804 standard. The study determines and analyses the values of basic indicators related to environmental impacts and environmental aspects of resource use. It comprises indicators calculated for 1 m2 ETICS for five thicknesses of the mentioned thermal insulation materials. Results show that for all environmental indicators, MW systems are characterized by a more negative environmental impact than the equivalent systems with EPS. The study aims to highlight knowledge about ETICS sustainability. The data presented in work are essential for assessment in terms of the sustainable development of ETICS. Such an evaluation is not just a need for the future but a necessity for the present.
Analysis of Land Cover Change Detection in Gozamin District, Ethiopia: From Remote Sensing and DPSIR Perspectives
Authors: Gedefaw Abebaw , Atzberger Clement , Bauer Thomas , Agegnehu Sayeh , Mansberger Reinfried
Published: June 2020

Land cover patterns in sub-Saharan Africa are rapidly changing. This study aims to quantify the land cover change and to identify its major determinants by using the Drivers, Pressures, State, Impact, Responses (DPSIR) framework in the Ethiopian Gozamin District over a period of 32 years (1986 to 2018). Satellite images of Landsat 5 (1986), Landsat 7 (2003), and Sentinel-2 (2018) and a supervised image classification methodology were used to assess the dynamics of land cover change. Land cover maps of the three dates, focus group discussions (FGDs), interviews, and farmers’ lived experiences through a household survey were applied to identify the factors for changes based on the DPSIR framework. Results of the investigations revealed that during the last three decades the study area has undergone an extensive land cover change, primarily a shift from cropland and grassland into forests and built-up areas. Thus, quantitative land cover change detection between 1986 and 2018 revealed that cropland, grassland, and bare areas declined by 10.53%, 5.7%, and 2.49%. Forest, built-up, shrub/scattered vegetation, and water bodies expanded by 13.47%, 4.02%, 0.98%, and 0.25%. Household surveys and focus group discussions (FGDs) identified the population growth, the rural land tenure system, the overuse of land, the climate change, and the scarcity of grazing land as drivers of these land cover changes. Major impacts were rural to urban migration, population size change, scarcity of land, and decline in land productivity. The outputs from this study could be used to assure sustainability in resource utilization, proper land use planning, and proper decision-making by the concerned government authorities.
El Niño Index Prediction Using Deep Learning with Ensemble Empirical Mode Decomposition
Authors: Guo Yanan , Cao Xiaoqun , Liu Bainian , Peng Kecheng
Published: June 2020

El Niño is an important quasi-cyclical climate phenomenon that can have a significant impact on ecosystems and societies. Due to the chaotic nature of the atmosphere and ocean systems, traditional methods (such as statistical methods) are difficult to provide accurate El Niño index predictions. The latest research shows that Ensemble Empirical Mode Decomposition (EEMD) is suitable for analyzing non-linear and non-stationary signal sequences, Convolutional Neural Network (CNN) is good at local feature extraction, and Recurrent Neural Network (RNN) can capture the overall information of the sequence. As a special RNN, Long Short-Term Memory (LSTM) has significant advantages in processing and predicting long, complex time series. In this paper, to predict the El Niño index more accurately, we propose a new hybrid neural network model, EEMD-CNN-LSTM, which combines EEMD, CNN, and LSTM. In this hybrid model, the original El Niño index sequence is first decomposed into several Intrinsic Mode Functions (IMFs) using the EEMD method. Next, we filter the IMFs by setting a threshold, and we use the filtered IMFs to reconstruct the new El Niño data. The reconstructed time series then serves as input data for CNN and LSTM. The above data preprocessing method, which first decomposes the time series and then reconstructs the time series, uses the idea of symmetry. With this symmetric operation, we extract valid information about the time series and then make predictions based on the reconstructed time series. To evaluate the performance of the EEMD-CNN-LSTM model, the proposed model is compared with four methods including the traditional statistical model, machine learning model, and other deep neural network models. The experimental results show that the prediction results of EEMD-CNN-LSTM are not only more accurate but also more stable and reliable than the general neural network model.