bluuebunny/crossref_metadata_2025 huggingface dataset:
Agricultural Robotics for Field Operations
Authors: Fountas Spyros , Mylonas Nikos , Malounas Ioannis , Rodias Efthymios , Hellmann Santos Christoph , Pekkeriet Erik
Published: May 2020

Modern agriculture is related to a revolution that occurred in a large group of technologies (e.g., informatics, sensors, navigation) within the last decades. In crop production systems, there are field operations that are quite labour-intensive either due to their complexity or because of the fact that they are connected to sensitive plants/edible product interaction, or because of the repetitiveness they require throughout a crop production cycle. These are the key factors for the development of agricultural robots. In this paper, a systematic review of the literature has been conducted on research and commercial agricultural robotics used in crop field operations. This study underlined that the most explored robotic systems were related to harvesting and weeding, while the less studied were the disease detection and seeding robots. The optimization and further development of agricultural robotics are vital, and should be evolved by producing faster processing algorithms, better communication between the robotic platforms and the implements, and advanced sensing systems.
Vapor Sensing with Polymer Coated Straight Optical Fiber Microtapers Based on Index Sensitive Interference Spectroscopy of Surface Stress Birefringence
Authors: Blank Alexandra , Guendelman Gabriel , Linzon Yoav
Published: May 2020

Optical microfiber tapers provide an advantageous platform for sensing in aqueous and gas environments. We study experimentally the photonic transmission in optical fiber tapers coated with polymethyl methacrylate (PMMA), a polymeric material widely used in optical applications. We demonstrate a durable and simple humidity sensing approach incorporating tapered microfibers attached to silicon (Si) substrate coated with active polymer layer. A model is described for the load stress effect on the birefringence giving rise to interferences in the transmission spectra, strongly dependent on the coating layer thickness, and disappearing following its slow uniform removal. The sensing approach is based on characterization of the interference patterns observed in the transmission spectra of the taper in the NIR range. The device demonstrated persistent detection capability in humid environment and a linear response followed by saturation to calibration analytes. In each analyte of interest, we define principal components and observe unique calibration plot regimes in the principal component space, demonstrating vapor sensing using polymer coated microtapers.
Wheezing Sound Separation Based on Informed Inter-Segment Non-Negative Matrix Partial Co-Factorization
Authors: De La Torre Cruz Juan , Cañadas Quesada Francisco Jesús , Ruiz Reyes Nicolás , Vera Candeas Pedro , Carabias Orti Julio José
Published: May 2020

Wheezing reveals important cues that can be useful in alerting about respiratory disorders, such as Chronic Obstructive Pulmonary Disease. Early detection of wheezing through auscultation will allow the physician to be aware of the existence of the respiratory disorder in its early stage, thus minimizing the damage the disorder can cause to the subject, especially in low-income and middle-income countries. The proposed method presents an extended version of Non-negative Matrix Partial Co-Factorization (NMPCF) that eliminates most of the acoustic interference caused by normal respiratory sounds while preserving the wheezing content needed by the physician to make a reliable diagnosis of the subject’s airway status. This extension, called Informed Inter-Segment NMPCF (IIS-NMPCF), attempts to overcome the drawback of the conventional NMPCF that treats all segments of the spectrogram equally, adding greater importance for signal reconstruction of repetitive sound events to those segments where wheezing sounds have not been detected. Specifically, IIS-NMPCF is based on a bases sharing process in which inter-segment information, informed by a wheezing detection system, is incorporated into the factorization to reconstruct a more accurate modelling of normal respiratory sounds. Results demonstrate the significant improvement obtained in the wheezing sound quality by IIS-NMPCF compared to the conventional NMPCF for all the Signal-to-Noise Ratio (SNR) scenarios evaluated, specifically, an SDR, SIR and SAR improvement equals 5.8 dB, 4.9 dB and 7.5 dB evaluating a noisy scenario with SNR = −5 dB.
Electrohysterogram for ANN-Based Prediction of Imminent Labor in Women with Threatened Preterm Labor Undergoing Tocolytic Therapy
Authors: Mas-Cabo J. , Prats-Boluda G. , Garcia-Casado J. , Alberola-Rubio J. , Monfort-Ortiz R. , Martinez-Saez C. , Perales A. , Ye-Lin Y.
Published: May 2020

Threatened preterm labor (TPL) is the most common cause of hospitalization in the second half of pregnancy and entails high costs for health systems. Currently, no reliable labor proximity prediction techniques are available for clinical use. Regular checks by uterine electrohysterogram (EHG) for predicting preterm labor have been widely studied. The aim of the present study was to assess the feasibility of predicting labor with a 7- and 14-day time horizon in TPL women, who may be under tocolytic treatment, using EHG and/or obstetric data. Based on 140 EHG recordings, artificial neural networks were used to develop prediction models. Non-linear EHG parameters were found to be more reliable than linear for differentiating labor in under and over 7/14 days. Using EHG and obstetric data, the <7- and <14-day labor prediction models achieved an AUC in the test group of 87.1 ± 4.3% and 76.2 ± 5.8%, respectively. These results suggest that EHG can be reliable for predicting imminent labor in TPL women, regardless of the tocolytic therapy stage. This paves the way for the development of diagnostic tools to help obstetricians make better decisions on treatments, hospital stays and admitting TPL women, and can therefore reduce costs and improve maternal and fetal wellbeing.
Scalable Distributed State Estimation in UTM Context
Authors: Cicala Marco , D’Amato Egidio , Notaro Immacolata , Mattei Massimiliano
Published: May 2020

This article proposes a novel approach to the Distributed State Estimation (DSE) problem for a set of co-operating UAVs equipped with heterogeneous on board sensors capable of exploiting certain characteristics typical of the UAS Traffic Management (UTM) context, such as high traffic density and the presence of limited range, Vehicle-to-Vehicle communication devices. The proposed algorithm is based on a scalable decentralized Kalman Filter derived from the Internodal Transformation Theory enhanced on the basis of the Consensus Theory. The general benefit of the proposed algorithm consists of, on the one hand, reducing the estimation problem to smaller local sub-problems, through a self-organization process of the local estimating nodes in response to the time varying communication topology; and on the other hand, of exploiting measures carried out nearby in order to improve the accuracy of the local estimates. In the UTM context, this enables each vehicle to estimate both its own position and velocity, as well as those of the neighboring vehicles, using both on board measurements and information transmitted by neighboring vehicles. A numerical simulation in a simplified UTM scenario is presented, in order to illustrate the salient aspects of the proposed algorithm.
The Effect of Data Transformation on Singular Spectrum Analysis for Forecasting
Authors: Hassani Hossein , Yeganegi Mohammad Reza , Khan Atikur , Silva Emmanuel Sirimal
Published: May 2020

Data transformations are an important tool for improving the accuracy of forecasts from time series models. Historically, the impact of transformations have been evaluated on the forecasting performance of different parametric and nonparametric forecasting models. However, researchers have overlooked the evaluation of this factor in relation to the nonparametric forecasting model of Singular Spectrum Analysis (SSA). In this paper, we focus entirely on the impact of data transformations in the form of standardisation and logarithmic transformations on the forecasting performance of SSA when applied to 100 different datasets with different characteristics. Our findings indicate that data transformations have a significant impact on SSA forecasts at particular sampling frequencies.
Evaluation of Industrial Urea Energy Consumption (EC) Based on Life Cycle Assessment (LCA)
Authors: Shi Longyu , Liu Lingyu , Yang Bin , Sheng Gonghan , Xu Tong
Published: May 2020

With the increasingly prominent environmental problems and the decline of fossil fuel reserves, the reduction of energy consumption (EC) has become a common goal in the world. Urea industry is a typical energy-intensive chemical industry. However, studies just focus on the breakthrough of specific production technology or only consider the EC in the production stage. This results in a lack of evaluations of the life cycle of energy consumption (LcEC). In order to provide a systematic, scientific, and practical theoretical basis for the industrial upgrading and the energy transformation, LcEC of urea production and the greenhouse gas (GHG) emissions generated in the process of EC are studied in this paper. The results show that the average LcEC is about 30.1 GJ/t urea. The EC of the materials preparation stage, synthesis stage, and waste-treatment stage (ECRMP, ECPP, ECWD) is about 0.388 GJ/t urea, 24.8 GJ/t urea, and 4.92 GJ/t urea, accounting for 1.3%, 82.4%, and 16.3% of LcEC, respectively. Thus, the synthesis stage is a dominant energy-consumer, in which 15.4 GJ/t urea of energy, accounting for 62.0% of ECpp, supports steam consumption. According to the energy distribution analysis, it can be concluded that coal presents the primary energy in the process of urea production, which supports 94.4% of LcEC. The proportion of coal consumption is significantly higher than that of the average of 59% in China. Besides, the GHG emissions in the synthesis stage are obviously larger than that in the other stage, with an average of 2.18 t eq.CO2/t urea, accounting for 81.3% of the life cycle of GHG (LcGHG) emissions. In detail, CO2 is the dominant factor accounting for 90.0% of LcGHG emissions, followed by CH4, while N2O is negligible. Coal is the primary source of CO2 emissions. The severe high proportion of coal consumption in the life cycle of urea production is responsible for this high CO2 content of GHG emissions. Therefore, for industrial urea upgrading and energy transformation, reducing coal consumption will still be an important task for energy structure transformation. At the same time, the reformation of synthesis technologies, especially for steam energy-consuming technology, will mainly reduce the EC of the urea industry. Furthermore, the application of green energy will be conducive to a win-win situation for both economic and environmental benefits.
Spatio-Semantic Road Space Modeling for Vehicle–Pedestrian Simulation to Test Automated Driving Systems
Authors: Schwab Benedikt , Beil Christof , Kolbe Thomas H.
Published: May 2020

Automated driving technologies offer the opportunity to substantially reduce the number of road accidents and fatalities. This requires the development of systems that can handle traffic scenarios more reliable than the human driver. The extreme number of traffic scenarios, though, causes enormous challenges in testing and proving the correct system functioning. Due to its efficiency and reproducibility, the test procedure will involve environment simulations to which the system under test is exposed. A combination of traffic, driving and Vulnerable Road User (VRU) simulation is therefore required for a holistic environment simulation. Since these simulators have different requirements and support various formats, a concept for integrated spatio-semantic road space modeling is proposed in this paper. For this purpose, the established standard OpenDRIVE, which describes road networks with their topology for submicroscopic driving simulation and HD maps, is combined with the internationally used semantic 3D city model standard CityGML. Both standards complement each other, and their combination opens the potentials of both application domains—automotive and 3D GIS. As a result, existing HD maps can now be used by model processing tools, enabling their transformation to the target formats of the respective simulators. Based on this, we demonstrate a distributed environment simulation with the submicroscopic driving simulator Virtual Test Drive and the pedestrian simulator MomenTUM at a sensitive crossing in the city of Ingolstadt. Both simulators are coupled at runtime and the architecture supports the integration of automated driving functions.
Do the Elderly Need Wider Parking Spaces? Evidence from Experimental and Questionnaire Surveys
Authors: Lu Weite , Zhang Chunqin , Ni Xunyou , Liu Haiqiang
Published: May 2020

An excellent parking system can affect the willingness of the elderly to drive an automobile for travel and for participating in social activities. However, few studies have examined the requirement of width of current parking spaces for the elderly and which factors influenced the selection of wider or narrower parking space by older participants. Two studies have been carried out in order to fill gaps for these issues. The first one examined minimum width by having 130 individuals aged 60+ alight into parking spaces of different widths. The results showed that most older individuals needed wider-than-standard parking spaces. Some potential demographic factors were also examined by one-way analyses of variance. The second study was conducted to estimate the factors affecting selection of parking spaces that were wider or narrower than the standard. Based on analysis of data by a logistic regression model, the result presented that the selection was mainly affected by age, types of aids, driving experience, body mass index (BMI) and health condition. Finally, we propose a new concept of parking system, which will help older people with different needs to park safely and smoothly. These studies will promote the ability of governments to design more effective parking spaces to enhance freedom for older adults.
Teaching Presence in Online Gamified Education for Sustainability Learning
Authors: Mahmud Siti Nur Diyana , Husnin Hazrati , Tuan Soh Tuan Mastura
Published: May 2020

Gamification in education refers to the introduction of game elements in the design of learning processes. Our gamification approach was based on the self-determination theory. According to this theory, people need to have competence, social connectedness, and autonomy in order to feel determined to perform certain activities. We aimed to investigate the effects of teaching presence in online gamification on sustainability learning and self-determination as well as identify the driving factors and barriers to sustaining students’ participation in online gamified activity. A mobile application called JouleBug was used. It contains game elements and aims to encourage pro-environmental behaviours. Our quasi-experimental design included two university courses (as control and treatment groups) on sustainable education with 48 participants. Both groups worked with JouleBug, whereas the treatment group was also supported by their teacher’s teaching presence. To establish online teaching presence, the teacher shares the students’ leader board rankings, acknowledges the students’ achievements, and give comments and feedback on students’ activities in the chatting group twice a week. Sustainability knowledge and pro-environmental behaviour were measured through survey. Students’ performance in the gamified activities was measured through collected points in the JouleBug application. The drivers and barriers to sustaining the students’ participation in JouleBug activities were identified through focus group interviews and students’ reflection writing. We found there were significant differences in the sustainability knowledge, pro-environmental behaviour, and performance between the treatment and control groups. The Cohen’s d effect size value obtained for the treatment on sustainability knowledge, pro-environmental behaviour, and students’ performance indicates a large effect as well. Focus group interviews with the participants and the students’ reflection writings revealed that the driving factors in sustaining the participation in the gamified activities in the application are recognition by teachers and peers, competition, and sense of belonging to a group. Meanwhile, the barriers to sustaining participation in online gamification are time constraints, boredom caused by lack of social interaction, and boredom caused by activity repetition and activity’s inappropriate level of difficulty. The conclusion is the teacher plays a role as an agent in this online gamification learning context. The findings suggest that teaching presence is one of the important building blocks that encourage the students’ participation and learning in online gamification.
Adaptation to Climate Change and Regional Planning: A Scrutiny of Sectoral Instruments
Authors: Ledda Antonio , Di Cesare Elisabetta , Satta Giovanni , Cocco Gianluca , Calia Giovanna , Arras Filippo , Congiu Annalisa , Manca Emanuela , De Montis Andrea
Published: May 2020

Adaptation to climate change means adjustment of human and natural systems to climatic actual or expected events, in order to minimize damage or maximize benefit. Adaptation implies involvement, coordination, and cooperation of different actors and sectors. Multi-actor collaboration usually characterizes the drafting of regional plans, which act as bridges between national and local administrative levels. Regional administrations address resilience issues, through spatial planning processes. This study focuses on the regional plans adopted by the Autonomous Region of Sardinia (Italy), south European Mediterranean region, an area that will be negatively affected by climate change in the coming decades. We aim at proposing a method for scrutinizing regional plans related to spatial planning issues, by using criteria rooted in the scientific literature and adaptation strategies. We found out that (i) the scientific literature did not sufficiently address the role of regional plans in the context of adaptation to climate change and (ii) the method proposed and applied in this study highlights whether some key adaptation issues are included in the plans, and might make aware planners and policy makers of basic information concerning the interplay ‘regional planning vs. adaptation to climate change’.
The Moderating Effect of Institutional Quality on the Financial Development and Environmental Quality Nexus
Authors: Hunjra Ahmed Imran , Tayachi Tahar , Chani Muhammad Irfan , Verhoeven Peter , Mehmood Asad
Published: May 2020

Environmental sustainability is a major concern of contemporary societies, businesses, and governments. However, there is a lack of knowledge as to how countries can achieve the goal to end poverty, whilst protecting the planet. It is the objective of our study to examine the moderating role of institutional quality on the financial development and environmental quality nexus in South Asia. Our sample consists of panel data of five South Asian countries (India, Bangladesh, Nepal, Sri Lanka and Pakistan) from 1984 to 2018. We find that financial development increases CO2 emissions in this region, implying that countries in South Asia have utilized financial development for capitalization, instead of improving production technology. Institutional quality moderates the negative impact of financial development on environmental sustainability. An implication of our findings is that efforts to improve institutional quality may help to promote sustainable development in South Asia.
Morphological Characteristics of Informal Settlements and Strategic Suggestions for Urban Sustainable Development in Tanzania: Dar es Salaam, Mwanza, and Kigoma
Authors: Zhang Jiaqi , Shuang Chen Sophia , Gao Qun , Shen Qiushi , Kimirei Ismael Aaron , Mapunda Damas William
Published: May 2020

Rapid urbanization in developing countries has been accompanied by the spread of informal settlements, which is particularly prominent in sub-Saharan Africa. These settlements have become an important supplement to the inadequate formal housing supply in cities, and their spontaneously formed spatial patterns have important influences on sustainable development. In this study, qualitative and quantitative approaches were used to examine the morphological characteristics of informal settlements in Tanzania and the associated influences on urban development. Geographic spatial analyses, landscape pattern indices, and mathematical statistics, along with quick assessments, group discussions, and key informant interviews, were used to obtain detailed information on the spatial forms of informal settlements. The results indicate that the form of the settlements does not conform to the social, economic, or environmental characteristics of sustainable development. The disordered expansion of single-layered buildings with a single function, irregular road networks in poor condition, and a lack of consideration and protection of the ecological environment were found to negatively impact urban function and sustainable development. However, the structure and form of informal settlements could, in addition to formalization projects, be optimized to drive sustainable and socioeconomic development goals as well as environmental conservation.
Perceptions of Professional Competences in Physical Education Teacher Education (PETE)
Authors: Asún Sonia , Chivite Miguel Tomás , Romero Mᵃ Rosario
Published: May 2020

Students’ skills acquisition is one of the main aims of higher education institutions. On the one hand, the development of professional competences is important, but on the other hand, it is known that professionals who feel competent have a more intrinsic motivation in their jobs. The goal of this study was to describe and detail the perceptions of students, graduates, and their university tutors about the level of acquisition by students of professional competences. The methodology was based on a descriptive and comparative study that included a total sample of 2075 participants of the Degree in Primary Teaching and the Degree in Physical Activity and Sport Science. All of them came from 21 different universities of Spain: 345 university tutors, 1243 students, and 487 graduates. The instrument used was a competences perception questionnaire. The statistical analysis included means, standard deviations, and an ANOVA analysis. The results show discrepancies in the perceptions of proficiency levels between students and graduates, on one hand, and university tutors, on the other. Likewise, there was general agreement that competences related to critic capacity and motor games were the most acquired and programs for individuals with special needs were the least acquired.
Young Chinese Consumers’ Choice between Product-Related and Sustainable Cues—The Effects of Gender Differences and Consumer Innovativeness
Authors: Rahman Osmud , Fung Benjamin C.M. , Chen Zhimin
Published: May 2020

Sustainability has received widespread attention in both academia and industry, but there is still a paucity of research investigating the relationships between gender, consumer innovativeness, and clothing, as well as how they may influence sustainable practices. The overarching objective of this study is to investigate clothing expenditure, product cues (intrinsic, extrinsic and sustainable), gender (men and women) and consumer innovativeness (fashion innovators and non-innovators) in China, in order to find out how these factors may influence consumers’ choices. To address the research objective, 10 intrinsic cues, three extrinsic cues, and seven sustainable cues were used to investigate apparel consumers’ choices and preferences. A self-administered online survey consisted of eight items on sustainable commitment and behaviour, six items of fashion innovativeness adapted from the Domain-Specific Innovativeness scale, 20 items concerning product cues, and numerous demographic and behaviour-related questions. In total, 1819 usable data were collected in China, including 614 males and 1196 females. The results revealed that four out of eleven hypotheses were supported, another four were partially supported, while the remainders were not. For example, both female consumers and fashion innovators relied more on style and colour to evaluate an apparel product than fashion non-innovators and male consumers. However, men tended to rely more on the brand name and country of origin to guide their product selection and purchases than women. In terms of the influence of sustainable cues, Chinese consumers are more concerned about the social/ethical cues than environmental cues. Interestingly, women were more concerned about “no animal skin use” in evaluating apparel products than men. All in all, the results of this study can provide valuable information and meaningful insight for fashion designers, product developers, and marketers to develop effective communication strategies to guide potential customers in understanding a plethora of apparel values, including functionality, aesthetics, finances, altruism, and sustainability.
Estimation of Transport Potential in Regional Rail Passenger Transport by Using the Innovative Mathematical-Statistical Gravity Approach
Authors: Gasparik Jozef , Dedik Milan , Cechovic Lukas , Blaho Peter
Published: May 2020

Planning the range of transport services in the selected geographical area is particularly relevant in the context of developing integrated transport systems. The aim is to build a sustainable public passenger transport system as an alternative to individual transport. Realizing quality and efficient transport services is a comprehensive process, though there are currently no applicable principles of its proposal and creation in terms of creating the appropriate range of railway infrastructure. The paper presents the general research results focused on solving the problems of transport services in the regional passenger railway transport. The gravity model allows the study of the dependence between the population in the adjacent area, the availability of stops and the length of the transport line. A part of the research is to adjust the inputs of this model to more accurately determine the range of railway infrastructure. Based on the research of the palette of railway lines, the necessary capacity of infrastructure in terms of ensuring the required number of trains in peak hours is adjusted. The output is a proposal of the session to the calculation of transport potential and subsequently its practical application. Finally, based on its resulting values, it is possible to adjust the transport concept to set up a more efficient and higher quality timetable.
Reflective Learning in Higher Education: Active Methodologies for Transformative Practices
Authors: Colomer Jordi , Serra Teresa , Cañabate Dolors , Bubnys Remigijus
Published: May 2020

In this Special Issue, Reflective Learning in Higher Education explores on tertiary education and its practices. It looks at in-house and external individuals, and collective initiatives and activities that centre on generating and reflecting on knowledge. It also explores the transformation output of learning communities, the communities themselves and their reflective practices, and discusses how reflective learning and developing one’s professional identity through reflection are linked. The connections between the theoretical and applied research on reflective practices, knowledge generation in all areas, professional practice and identity through theoretical definition, situated and grounded practice and transformative knowledge are also considered. The nine manuscripts in this Special Issue manifest that reflective learning is likely to (i) help forge students’ professional identity and ensure sustainable competences are effectively developed, (ii) transform students’ preconceived perspectives and social preferences to foster new reasoned action plans for decision-making, (iii) promote understanding one’s personal professional strengths and limitations and develop the ability to identify resources and ways to solve existing and/or future professional challenges and (iv) modify the students’ beliefs, attitudes, and daily behaviour to develop competences that will ultimately result in promoting sustainability.
Streamflow Alterations, Attributions, and Implications in Extended East Rapti Watershed, Central-Southern Nepal
Authors: Pandey Vishnu Prasad , Shrestha Dibesh , Adhikari Mina , Shakya Shristi
Published: May 2020

Streamflow alteration and subsequent change in long-term average, seasonality, and extremes (e.g., floods and droughts) may affect water security, which is a major concern in many watersheds across the globe. Both climatic and anthropogenic activities may contribute to such changes. Therefore, this study assesses: (i) Streamflow and precipitation trends to identify streamflow alterations in the Extended East Rapti (EER) watershed in central-southern Nepal; (ii) relationship of the alterations to climatic and anthropogenic sources; and (iii) implications of streamflow changes to the socio-environmental system. The trends in streamflow were analyzed for pre-and post-1990 periods considering the abrupt shift in temperature trend in 1990. Results showed a general decreasing trends in discharge post-1990 in the EER watershed. Human activities have significantly contributed in altering streamflow in the EER. Human-induced streamflow alterations have affected the water availability, food security, river health, aquatic biodiversity, and groundwater abstraction in the EER watershed.
In-Depth Analysis of Egg-Tempera Paint Layers by Multiphoton Excitation Fluorescence Microscopy
Authors: Dal Fovo Alice , Sanz Mikel , Oujja Mohamed , Fontana Raffaella , Mattana Sara , Cicchi Riccardo , Targowski Piotr , Sylwestrzak Marcin , Romani Aldo , Grazia Chiara , Filippidis George , Psilodimitrakopoulos Sotiris , Lemonis Andreas , Castillejo Marta
Published: May 2020

The non-invasive depth-resolved imaging of pictorial layers in paintings by means of linear optical techniques represents a challenge in the field of Cultural Heritage (CH). The presence of opaque and/or highly-scattering materials may obstruct the penetration of the radiation probe, thus impeding the visualization of the stratigraphy of paintings. Nonlinear Optical Microscopy (NLOM), which makes use of tightly-focused femtosecond pulsed lasers as illumination sources, is an emerging technique for the analysis of painted objects enabling micrometric three-dimensional (3D) resolution with good penetration capability in semi-transparent materials. In this work, we evaluated the potential of NLOM, specifically in the modality of Multi-Photon Excitation Fluorescence (MPEF), to probe the stratigraphy of egg-tempera mock-up paintings. A multi-analytical non-invasive approach, involving ultraviolet-visible-near infrared (UV-Vis-NIR) Fiber Optics Reflectance Spectroscopy, Vis-NIR photoluminescence, and Laser Induced Fluorescence, yielded key-information for the characterization of the constituting materials and for the interpretation of the nonlinear results. Furthermore, the use of three nonlinear optical systems allowed evaluation of the response of the analyzed paints to different excitation wavelengths and photon doses, which proved useful for the definition of the most suitable measurement conditions. The micrometric thickness of the paint layers, which was not measurable by means of Optical Coherence Tomography (OCT), was instead assessed by MPEF, thus demonstrating the effectiveness of this nonlinear modality in probing highly-scattering media, while ensuring the minimal photochemical disturbance to the examined materials.
Development of Cross-Domain Artificial Neural Network to Predict High-Temporal Resolution Pressure Data
Authors: Choi Young Hwan , Jung Donghwi
Published: May 2020

Forecasting hydraulic data such as pressure and demand in water distribution system (WDS) is an important task that helps ensure efficient and accurate operations. Despite high-performance data prediction, missing data can still occur, making it difficult to effectively operate WDS. Though the pressure data are directly related to the rules of operation for pumps or valves, few studies have been conducted on pressure data forecasting. This study proposes a new missing and incomplete data control approach based on real pressure data for reliable and efficient WDS operation and maintenance. The proposed approach is: (1) application of source data from high-resolution, real-world pressure data; (2) development of a cross-domain artificial neural network (CDANN), combining the standard artificial neural networks (ANNs) and the cross-domain training approach for missing data control; and (3) analysis of standard data mining according to external factors to improve prediction accuracy. To verify the proposed approach, a real-world network located in South Korea was used, and the forecasting results were evaluated through performance indicators (i.e., overall, special points, and percentage errors). The performance of the CDANN is compared with that of standard ANNs, and CDANN was found to provide better predictions than traditional ANNs.
Perceptions of Post-Disaster Housing Safety in Future Typhoons and Earthquakes
Authors: Venable Casie , Javernick-Will Amy , Liel Abbie B.
Published: May 2020

How residents perceive housing safety affects how structures are designed, built, and maintained. This study assesses the perceptions of housing safety through a survey of over 450 individuals in communities that received post-disaster housing reconstruction assistance following 2013’s Typhoon Yolanda, and that were potentially vulnerable to earthquakes. We analyzed how housing design factors, post-disaster program elements, personal characteristics, and hazard type and exposure influenced safety perceptions. Overall, individuals were most concerned with the safety of their roofs during hazard events and perceived their houses would be less safe in a future typhoon than a future earthquake. Housing material significantly impacted safety perceptions, with individuals in wood houses perceiving their houses to be the least safe. Individuals living in areas more exposed to hazards also perceived their houses to be less safe. Being relocated after the typhoon, witnessing good or bad practices during reconstruction, and prior disaster experience also significantly influenced perceptions of housing safety. These results are used to make recommendations on how implementing organizations can most beneficially intervene with program factors to improve local understanding of housing safety.
Current Response and Management Decisions of the European Union to the COVID-19 Outbreak: A Review
Authors: Goniewicz Krzysztof , Khorram-Manesh Amir , Hertelendy Attila J. , Goniewicz Mariusz , Naylor Katarzyna , Burkle Frederick M.
Published: May 2020

COVID-19 has proven to be a formidable challenge for many countries in the European Union to manage effectively. The European Union has implemented numerous strategies to face emerging issues. Member States have adopted measures such as the closure of borders and significant limitations on the mobility of people to mitigate the spread of the virus. An unprecedented crisis coordination effort between Member States has facilitated the ability to purchase equipment, personal protective equipment, and other medical supplies. Attention has also been focused on providing substantive money for research to find a vaccine and promote effective treatment therapies. Financial support has been made available to protect worker salaries and businesses to help facilitate a return to a functional economy. Lessons learned to date from COVID-19 in the European Union are many; the current crisis highlights the need to think about future pandemics from a population-based management approach and apply outside the box critical thinking. Due to the complexity, intensity, and frequency of complex disasters, global leaders in healthcare, government, and business will need to pivot from siloed approaches to decision-making to embrace multidisciplinary and transdisciplinary levels of cooperation. This cooperation requires courage and leadership to recognize that changes are necessary to avoid making the same mistakes we have planned countless times on avoiding. This study focuses on the European Union’s initial response to the COVID-19 pandemic, starting with how the European Union first learned and processed the global information arising out of China, followed by the incremental population-based medicine/management decisions made that currently are defining the European Union’s capacity and capability. The capacity to organize, deliver, and monitor care to a specific clinical population under a population-based management target includes strict social distancing strategies, contact testing and tracing, testing for the virus antigen and its antibodies, isolation, and treatment modalities such as new mitigating medications, and finally, a vaccine.
Determinants of Temporary Trade Barriers in Global Forest Products Industry
Authors: Zhang Xufang , Sun Changyou , Gordon Jason , Munn Ian A.
Published: May 2020

Imposing temporary trade barriers (TTBs) as remedy actions against imports has become popular among global countries in recent decades. Many countries have employed these trade barriers to protect domestic firms from possible injury by unfair international trade. This study evaluated the main factors that influenced the implementation of TTBs in the forest products industry from 1995 to 2015 for two scenarios: a global and developing countries scenario; and a paper and non-paper products scenario. A two-step sample selection model was employed to assess the determinants of the decision to impose TTBs and the frequency to implement TTBs for the scenario of global and developing countries. From the perspective of forest products, determinants of applying TTBs on paper and non-paper products were examined with the probit regression. For the scenario of global and developing countries, the import, employment in agriculture, forest coverage rate, inflation, and GDP per capita were significant determinants. For the scenario of paper and non-paper products, variables of the forest area, imports, exports, GDP per capita, tariff rate, expenditure on education, and employment in agriculture were significant. The results show that a country with a large per capita GDP is more likely to file more TTBs against others. One implication is that countries should be cautious to impose TTBs, as it may cause the attention to shift from the inefficiencies of domestic forest firms to the unfair trade actions of exporters.
Analysis of Façade Color and Cost to Improve Visual Integration of Buildings in the Rural Environment
Authors: Montero-Parejo María Jesús , García Moruno Lorenzo , Reyes Rodríguez Antonio Manuel , Blanco Julio Hernández , Garrido Velarde Jacinto
Published: May 2020

In recent decades, rural buildings have proliferated in the rural environment, in many cases clashing with the surroundings. One of the main objectives in rural areas must be to maintain a balance between economic and sustainable development. In the exterior design of buildings, it is necessary to follow technical and scientific criteria that respect the natural environment, and one of the most important parameters in this scenario is façade color. This article analyzes the costs of using different colors on façades and how color variations affect the integration of buildings in the rural landscape. It addresses the context of rural buildings in the Extremadura region of Spain, where large areas of undeveloped land are available to drive economic development. Ten technical projects and photos of buildings were used for the study. A palette of suitable colors developed and proposed in previous studies was used to improve the external finishes of the façades. The variation in cost was calculated between the current designs and improved alternatives simulated using infographs, and a survey was conducted to determine how the rating of the landscape integration changed. The analysis shows that a building façade in a suitable color is always a significantly better rated solution than a finish in white (by 9%–14%). The results obtained are important because they show that a small variation in the cost of a building can significantly increase the rating of its integration and, therefore, give value added to the intervention because it respects the natural environment.
Effects on Motivation and Implicit Beliefs about Self ability using the Sports Education Model and the Traditional Style in Secondary Education
Authors: Hernández-Andreo Lidia , Gómez-Mármol Alberto , Cifo-Izquierdo María Isabel
Published: May 2020

The methodology employed during physical education sessions can determine students’ motivations and implicit beliefs about their own abilities. The aim of the present study was based on comparing the effects produced on motivation and implicit beliefs about self ability when implementing a Sports Education model and a traditional style. Ninety-three secondary education students participated in the study, with ages ranging from 13 to 15 (13.32 ± 0.62). A total of 54 students took part in the sessions designed according to the Sports Education model and 43 in those following a traditional style. At the beginning and the end of the didactic unit, each student was administered the questionnaire CMEF (Cuestionario de Motivación en Educación Física) for motivation in physical education and the questionnaire Conceptions of the Nature of Athletic Ability Questionnaire-2 (CNAAQ-2) for implicit beliefs about ability. Results showed significant differences for the Sports Education model in the dimensions of intrinsic motivation, identified regulation, introproyected regulation, and external regulation (p < 0.01). The Sports Education model is optimal to promote motivation; therefore, teachers should consider putting it into practice as a methodology to improve students’ motivation profile.
A Systematic Review of the Relationship Between Energy Consumption and Economic Growth in GCC Countries
Authors: AlKhars Mohammed , Miah Fazlul , Qudrat-Ullah Hassan , Kayal Aymen
Published: May 2020

This survey study analyzed the existing literature on the relationship between energy consumption and economic growth in the six Gulf Cooperation Council (GCC) countries (Saudi Arabia, United Arab Emirates, Bahrain, Qatar, Oman and Kuwait). This study identified 59 articles published in 18 journals covering the period 2006–2019. The articles were grouped into two categories: the first category included studies analyzing the energy–growth relationship at the individual country level while the second category included studies analyzing the relationship at a multi-country level. The result of this study revealed that 18% of the observations supported the growth hypothesis, 26% supported the conservation hypothesis, 43% supported the feedback hypothesis and 13% supported the neutral hypothesis. As our analysis found a dominant support for the growth and feedback hypotheses, this implies that the focus of energy policies in GCC countries has been on the supply and the uninterrupted availability for the expansion and growth of their industrial and developmental activities. However, for a sustainable development and growth of the GCC economies and meeting the environmental challenges, there is an urgent need for the expansion of renewable energy technologies in the energy supply mix of GCC countries.
Regional Perspective on R&D Policies for SMEs: Does Success Breed Success?
Authors: Radas Sonja , Mervar Andrea , Škrinjarić Bruno
Published: May 2020

In this paper, we examine the effects of EU policy schemes that support innovation in small and medium-sized enterprises. Since the effectiveness of innovation schemes can be expected to differ across Europe as entrepreneurship and innovation tend to be more intense in more developed regions, we postulate that the effect of EU instruments on additionality increases with the level of development. We offer a multi-country perspective using two waves of Community Innovation Survey data (CIS 2008 and CIS 2012). We find that the impact of EU funding depends on the level of country’s innovativeness: both national and EU public schemes exhibit smaller additionality in less developed countries, while crowding-out is observed only in recently joined EU members.
Performance Degradation Model for Concrete Deck of Bridge Using Pseudo-LSTM
Authors: Choi Youngjin , Lee Jinhyuk , Kong Jungsik
Published: May 2020

The purpose of a bridge maintenance strategy is to make effective decisions by evaluating current performance and predicting future conditions of the bridge. The social cost because of the rapid increase in the number of decrepit bridges. The current bridge maintenance system relies on traditional man-power-based methods, which determine the bridge performance by employing a material deterioration model, and thus shows uncertainty in predicting the bridge performance. In this study, a new type of performance degradation model is developed using the actual concrete deck condition index (or grade) data of the general bridge inspection history database (1995–2017) on the national road bridge of the bridge management system in Korea. The developed model uses the long short-term memory algorithm, which is a type of recurrent neural network, as well as layer normalization and label smoothing to improve the applicability of basic data. This model can express the discrete historical degradation indices in continuous form according to the service life. In addition, it enables the prediction of bridge performance by using only basic information about new and existing bridges.
Going Green Inside and Out: Corporate Environmental Responsibility and Financial Performance under Regulatory Stringency
Authors: Sohn Jongjin , Lee Jongseon , Kim Nami
Published: May 2020

While researchers have long examined the relationship between corporate environmental responsibility (CER) and financial performance, the evidence remains inconclusive. Moreover, whether sustainable supply chain management plays a role in enhancing the financial performance of focal firms has yet to be fully investigated. As firms’ investment in CER often pays off in the long-term, applying multiple time horizons, short- to long-term considerations, is needed to determine the effects of CER. This study examined the role of CER in improving financial performance based on multiple time horizons. In particular, the effects of CER on financial performance were explored in terms of internal operations and supply chains. The moderating effects of regulatory stringency on the relationship between CER and a firm’s short- or long-term financial performance were also investigated. Firms’ CER was studied using carbon data from Trucost. Carbon footprint can be an appropriate proxy for CER, as it provides information on supply partners’ environmental concerns. A unique dataset of the carbon footprint of 714 North American firms in 19 industry sectors in 2003–2010 was used. The results indicated that firms benefit from CER not only in their internal operations but also in their supply chains in both the short and long-terms. The moderating effects of regulatory stringency were significant for CER only in terms of the supply chain but not for internal operations. In industries with a high level of regulatory stringency, the positive effects of CER on short-term financial performance in the supply chain become weaker, but the same effects on long-term financial performance become stronger. By investigating the effects of two distinct carbon footprint aspects on financial performance at different time horizons, this study sheds light on the importance of CER in firms’ internal operations and supply chains.