bluuebunny/crossref_metadata_2025 huggingface dataset:
Advances on Photonic Crystal Fiber Sensors and Applications
Authors: Portosi Vincenza , Laneve Dario , Falconi Mario Christian , Prudenzano Francesco
Published: April 2019

In this review paper some recent advances on optical sensors based on photonic crystal fibres are reported. The different strategies successfully applied in order to obtain feasible and reliable monitoring systems in several application fields, including medicine, biology, environment sustainability, communications systems are highlighted. Emphasis is given to the exploitation of integrated systems and/or single elements based on photonic crystal fibers employing Bragg gratings (FBGs), long period gratings (LPGs), interferometers, plasmon propagation, off-set spliced fibers, evanescent field and hollow core geometries. Examples of recent optical fiber sensors for the measurement of strain, temperature, displacement, air flow, pressure, liquid-level, magnetic field, and hydrocarbon detection are briefly described.
Optimization of a Piezoelectric Energy Harvester and Design of a Charge Pump Converter for CMOS-MEMS Monolithic Integration
Authors: Duque Marcos , Leon-Salguero Edgardo , Sacristán Jordi , Esteve Jaume , Murillo Gonzalo
Published: April 2019

The increasing interest in the Internet of Things (IoT) has led to the rapid development of low-power sensors and wireless networks. However, there are still several barriers that make a global deployment of the IoT difficult. One of these issues is the energy dependence, normally limited by the capacitance of the batteries. A promising solution to provide energy autonomy to the IoT nodes is to harvest residual energy from ambient sources, such as motion, vibrations, light, or heat. Mechanical energy can be converted into electrical energy by using piezoelectric transducers. The piezoelectric generators provide an alternating electrical signal that must be rectified and, therefore, needs a power management circuit to adapt the output to the operating voltage of the IoT devices. The bonding and packaging of the different components constitute a large part of the cost of the manufacturing process of microelectromechanical systems (MEMS) and integrated circuits. This could be reduced by using a monolithic integration of the generator together with the circuitry in a single chip. In this work, we report the optimization, fabrication, and characterization of a vibration-driven piezoelectric MEMS energy harvester, and the design and simulation of a charge-pump converter based on a standard complementary metal–oxide–semiconductor (CMOS) technology. Finally, we propose combining MEMS and CMOS technologies to obtain a fully integrated system that includes the piezoelectric generator device and the charge-pump converter circuit without the need of external components. This solution opens new doors to the development of low-cost autonomous smart dust devices.
Potential Application of h-BNC Structures in SERS and SEHRS Spectroscopies: A Theoretical Perspective
Authors: Gil-Guerrero Sara , Otero Nicolás , Queizán Marta , Mandado Alonso Marcos
Published: April 2019

In this work, the electronic and optical properties of hybrid boron-nitrogen-carbon structures (h-BNCs) with embedded graphene nanodisks are investigated. Their molecular affinity is explored using pyridine as model system and comparing the results with the corresponding isolated graphene nanodisks. Time-dependent density functional theory (TDDFT) analysis of the electronic excited states was performed in the complexes in order to characterize possible surface and charge transfer resonances in the UV region. Static and dynamic (hyper)polarizabilities were calculated with coupled-perturbed Kohn-Sham theory (CPKS) and the linear and nonlinear optical responses of the complexes were analyzed in detail using laser excitation wavelengths available for (Hyper)Raman experiments and near-to-resonance excitation wavelengths. Enhancement factors around 103 and 108 were found for the polarizability and first order hyperpolarizability, respectively. The quantum chemical simulations performed in this work point out that nanographenes embedded within hybrid h-BNC structures may serve as good platforms for enhancing the (Hyper)Raman activity of organic molecules immobilized on their surfaces and for being employed as substrates in surface enhanced (Hyper)Raman scattering (SERS and SEHRS). Besides the better selectivity and improved signal-to-noise ratio of pristine graphene with respect to metallic surfaces, the confinement of the optical response in these hybrid h-BNC systems leads to strong localized surface resonances in the UV region. Matching these resonances with laser excitation wavelengths would solve the problem of the small enhancement factors reported in Raman experiments using pristine graphene. This may be achieved by tuning the size/shape of the embedded nanographene structure.
A Robust Method for Automatic Panoramic UAV Image Mosaic
Authors: Chen Jun , Xu Quan , Luo Linbo , Wang Yongtao , Wang Shuchun
Published: April 2019

This paper introduces a robust method for panoramic unmanned aerial vehicle (UAV) image mosaic. In the traditional automatic panoramic image stitching method (Autostitch), it assumes that the camera rotates about its optical centre and the group of transformations the source images may undergo is a special group of homographies. It is rare to get such ideal data in reality. In particular, remote sensing images obtained by UAV do not satisfy such an ideal situation, where the images may not be on a plane yet and even may suffer from nonrigid changes, leading to poor mosaic results. To overcome the above mentioned challenges, in this paper a nonrigid matching algorithm is introduced to the mosaic system to generate accurate feature matching on remote sensing images. We also propose a new strategy for bundle adjustment to make the mosaic system suitable for the UAV image panoramic mosaic effect. Experimental results show that our method outperforms the traditional method and some of the latest methods in terms of visual effect.
Measurement and Analysis of Near-Ground Propagation Models under Different Terrains for Wireless Sensor Networks
Authors: Tang Weisheng , Ma Xiaoyuan , Wei Jianming , Wang Zhi
Published: April 2019

The propagation model is an essential component in the design and deployment of a wireless sensor network (WSN). Although much attention has been given to near-ground propagation models, few studies place the transceiver directly on the ground with the height of antennas at the level of a few centimeters, which is a more realistic deployment scenario for WSNs. We measured the Received Signal Strength Indication (RSSI) of these truly near-ground WSNs at 470 MHz under four different terrains, namely flat concrete road, flat grass and two derived scenarios, and obtained the corresponding path loss models. By comprehensive analysis of the influence of different antenna heights and terrain factors, we showed the limit of existing theoretical models and proposed a propagation model selection strategy to more accurately reflect the true characteristics of the near-ground wireless channels for WSNs. In addition, we implemented these models on Cooja simulator and showed that simplistic theoretical models would induce great inaccuracy of network connectivity estimation.
Augmentative and Alternative Communication (AAC) Advances: A Review of Configurations for Individuals with a Speech Disability
Authors: Elsahar Yasmin , Hu Sijung , Bouazza-Marouf Kaddour , Kerr David , Mansor Annysa
Published: April 2019

High-tech augmentative and alternative communication (AAC) methods are on a constant rise; however, the interaction between the user and the assistive technology is still challenged for an optimal user experience centered around the desired activity. This review presents a range of signal sensing and acquisition methods utilized in conjunction with the existing high-tech AAC platforms for individuals with a speech disability, including imaging methods, touch-enabled systems, mechanical and electro-mechanical access, breath-activated methods, and brain–computer interfaces (BCI). The listed AAC sensing modalities are compared in terms of ease of access, affordability, complexity, portability, and typical conversational speeds. A revelation of the associated AAC signal processing, encoding, and retrieval highlights the roles of machine learning (ML) and deep learning (DL) in the development of intelligent AAC solutions. The demands and the affordability of most systems hinder the scale of usage of high-tech AAC. Further research is indeed needed for the development of intelligent AAC applications reducing the associated costs and enhancing the portability of the solutions for a real user’s environment. The consolidation of natural language processing with current solutions also needs to be further explored for the amelioration of the conversational speeds. The recommendations for prospective advances in coming high-tech AAC are addressed in terms of developments to support mobile health communicative applications.
Activity Profile, Heart Rate, Technical Involvement, and Perceived Intensity and Fun in U13 Male and Female Team Handball Players: Effect of Game Format
Authors: Madsen Mads , Ermidis Georgios , Rago Vincenzo , Surrow Kristoffer , Vigh-Larsen Jeppe F. , Randers Morten B. , Krustrup Peter , Larsen Malte N.
Published: April 2019

The aim of the study was to compare the activity pattern, heart rate (HR), technical involvement, and subjective perceptions in U13 boys and girls playing team handball in five game formats. Activity pattern, heart rate (HR), technical involvement, perceived fun, and exertion were recorded from four girls teams (n = 24) and four boys teams (n = 24) played during a 1-day tournament consisting of five different game formats of 15-min duration: Medium court size, 4v4 (M4v4), 5v5 (M5v5), and 6v6 (M6v6), and large court size, 5v5 (L5v5) and 6v6 (L6v6). Girls covered more total distance (TD) and high-speed running (HSR, 13–17.9 km·h−1) on the large court compared to the medium court (p < 0.05; ES = 2.1–3.1 and 1.2–2.5, respectively). Boys covered more distance as HSR and sprinting on the large court compared to the medium court, but only more TD on the large court compared to the medium court with the same number of players, (p < 0.05; ES = 1.0–1.8, 1.0–1.8, and 1.1–1.8, respectively). Team handball for U13 boys and girls is a high-intensity activity irrespective of court size. Increasing the court size with a fixed number of players increased the total distance and HSR, whereas manipulating the number of players on a fixed court size appears to influence technical involvement.
Relative Age Effect is Modulated by Playing Position but is Not Related to Competitive Success in Elite Under-19 Handball Athletes
Authors: Fonseca Fabiano S. , Figueiredo Lucas S. , Gantois Petrus , de Lima-Junior Dalton , Fortes Leonardo S.
Published: April 2019

This study aimed to verify the occurrence of the relative age effect (RAE) in male elite young handball athletes according to the playing position and its association with team performance in a World Championship. Data from 383 handball athletes from 24 countries who participated in the 7th World Men’s Championship in the under-19 category were analyzed. RAE was investigated from the birth trimester of the athletes, their playing position, and final ranking in the Championship. The results showed an overrepresentation of athletes born in the first two trimesters (Q1 and Q2) (χ2(3) = 32.97; p < 0.001, ω = 0.29). The analysis of the athlete’s position showed that most wings (χ2(3) = 18.37; p < 0.001, ω = 0.32) and backs (χ2(3) = 12.51; p = 0.006, ω = 0.34) were born in the first trimesters (Q1 and Q2). The ranking in the Championship presented no significant association with the date of the birth (p > 0.05). The results showed the existence of the RAE in youth handball elite athletes, especially for the back and wing positions. However, the strategy of selecting is questionable once the presence of RAE was not associated with competitive success.
Physiological Performance Measures as Indicators of CrossFit® Performance
Authors: Dexheimer Joshua D. , Schroeder E. Todd , Sawyer Brandon J. , Pettitt Robert W. , Aguinaldo Arnel L. , Torrence William A.
Published: April 2019

CrossFit® began as another exercise program to improve physical fitness and has rapidly grown into the “sport of fitness”. However, little is understood as to the physiological indicators that determine CrossFit® sport performance. The purpose of this study was to determine which physiological performance measure was the greatest indicator of CrossFit® workout performance. Male (n = 12) and female (n = 5) participants successfully completed a treadmill graded exercise test to measure maximal oxygen uptake (VO2max), a 3-minute all-out running test (3MT) to determine critical speed (CS) and the finite capacity for running speeds above CS (D′), a Wingate anaerobic test (WAnT) to assess anaerobic peak and mean power, the CrossFit® total to measure total body strength, as well as the CrossFit® benchmark workouts: Fran, Grace, and Nancy. It was hypothesized that CS and total body strength would be the greatest indicators of CrossFit® performance. Pearson’s r correlations were used to determine the relationship of benchmark performance data and the physiological performance measures. For each benchmark-dependent variable, a stepwise linear regression was created using significant correlative data. For the workout Fran, back squat strength explained 42% of the variance. VO2max explained 68% of the variance for the workout Nancy. Lastly, anaerobic peak power explained 57% of the variance for performance on the CrossFit® total. In conclusion, results demonstrated select physiological performance variables may be used to predict CrossFit® workout performance.
An Ecological Early Warning Indicator System for Environmental Protection of Scenic Areas
Authors: Lin Shih-Yen , Lu Jun-Liang , Fan Yu-Lin
Published: April 2019

The aim of this research is to build an ecological early warning indicator system. Several complex and interlinked factors contribute to changes in the environmental quality of scenic areas. If changes in these factors can be monitored and controlled, the environmental quality of scenic areas can also be controlled, achieving the purpose of protecting the ecological environment. This study utilizes ecological early warning indicators to enable environmental management. Twenty-six early warning indicators are first identified through a literature review, interviews, and survey pretesting. A fuzzy analytic hierarchy process is then used to calculate the weights of different levels/hierarchies. These early warning indicators can be used both to assess the environmental quality of scenic areas, and to provide a foundation for the construction of an ecological early warning indicator system in scenic areas. This approach represents a new perspective on scenic area environmental management and ecological protection.
Organic Matter Composition of Manure and Its Potential Impact on Plant Growth
Authors: Park Jongkwan , Cho Kyung Hwa , Ligaray Mayzonee , Choi Mi-Jin
Published: April 2019

Since the advent of flush toilet systems, the aquatic environment has received a massive contaminant flow. Furthermore, the perception of human feces has changed from a useful nutrient source for agriculture to a harmful contaminant. In this study, we compared the nutritional quality of five samples: (1) human manure (HM), (2) human manure from a family mainly eating organic food (HMO), (3) cow manure (CM), (4) poultry manure (PM), and (5) commercial nursery media (CNM). Samples were analyzed in terms of organic and inorganic nutrient contents, molecular composition, seed germination, and chlorophyll concentration. Pyrolysis gas chromatography/mass spectrometry (GC/MS) was used to describe the differences in molecular composition. Three-dimensional excitation and emission matrix fluorescence spectroscopy characterized the organic composition of water extracts. From the results, CNM, PM, and HMO showed humic- and fluvic-like substance peaks, the highest values of potassium and sulfate ions, and of C/N ratios, indicating greater plant growth potential. This was confirmed by their higher chlorophyll concentrations and germination index values. These results contribute knowledge about the positive effects of manure, changing the negative perception of human excreta from waste to resource. This work provides a reference for reducing the wastewater loading rate in society.
Education for Sustainable Development 4.0: Lessons Learned from the University of Graz, Austria
Authors: Brudermann Thomas , Aschemann Ralf , Füllsack Manfred , Posch Alfred
Published: April 2019

Higher education for sustainable development plays a crucial role in the transformation of society towards a more sustainable pathway of development. The new trends in society and technology experienced in the course of the fourth industrial revolution come with challenges, but also provide opportunities. In this paper, we reflect on the conceptual basis of education for sustainable development as approached at the University of Graz, Austria, and contrast this basis with the expectations stated by students. The results showed that students acknowledged the high importance of digital competencies and found it highly important to be confronted with future-oriented topics and contents. Interestingly, students seemed skeptical about online course formats and digitalization of teaching and clearly preferred the interactive classroom experience. Students also rated international topics and transdisciplinary thinking as fairly important. Interestingly, a relatively high share of students only saw mediocre added value in experiencing international classrooms, and in having international teachers, when it comes to meeting their top priority, which is being competitive in the job market. Education for sustainable development in the future will not only need to prepare students for international, interdisciplinary, and digital environments, but also will need to meet the expectations of demanding and ambitious students and provide them with bright career prospects.
Development of Team Cohesion and Sustained Collaboration Skills with the Sport Education Model
Authors: Kao Chun-Chieh
Published: April 2019

Physical education is crucial to the development of physical and social abilities. Team cohesion, nurtured in physical education, influences team performance and provides skills that students may translate into future social arenas. However, whether teaching strategy in physical education affects the development of team cohesion remains uncertain. The sport education model (SEM) enhances sport skills, rule knowledge, sport etiquette, and affective development through games and competition. The SEM has replaced many conventional physical education curricula in advanced countries. Therefore, this quasi-experimental pretest–post-test study investigated the effects of the SEM on team cohesion. Undergraduate volunteers from a Taiwanese university were divided into experimental and control groups for a 10-week basketball course taught using the SEM or direct instruction, respectively. Pretest and post-test questionnaires utilized a team cohesion scale, with subscales measuring teamwork, team adaptation, and interpersonal interaction. Experimental group (Mpre = 3.35 ± 0.42, Mpost = 3.98 ± 0.50) scores for overall team cohesion and the three subscales were significantly improved after the course; no significant improvement was noticed in the control group (Mpre = 3.23 ± 0.58, Mpost = 3.57 ± 0.57). Furthermore, all post-test scores for the experimental group (M = 3.98 ± 0.50) were higher than those for the control group (M = 3.57 ± 0.57). Therefore, the SEM is a feasible model for improving team cohesion and thus related social skills students may sustain into adulthood.
Right-Sizing Cities for Maximum Power: Urban Form Parameters for New York City and the Greater Philadelphia Region
Authors: Lee Jae Min , Braham William
Published: April 2019

This paper examines the urban form parameters in theories and ideas related to the urbanizing world. Adopting emergy (spelled with an “m”) synthesis, we studied New York City and the Greater Philadelphia region to determine the appropriate urban form, including building height, development density, bulkiness, and transportation. The European and North American mid-rise urban block is an effective settlement type for reducing per capita emergy in construction and building operations. Buildings over 40 stories with a development density exceeding a floor area ratio of 5 tend to show higher emergy investments per person. Large and bulky buildings with low surface-area-to-volume ratios that reside on the periphery of cities consume a significant amount of energy due to conditioning building space and the increased transportation needs for commuters.
Provincial Carbon Emissions Efficiency and Its Influencing Factors in China
Authors: Wang Shi , Wang Hua , Zhang Li , Dang Jun
Published: April 2019

We calculated provincial carbon emissions efficiency and related influencing factors in China with the purpose of providing a reference for other developing countries to develop a green economy. Using panel data covering the period from 2004–2016 from 30 provinces in China, we calculated the carbon emission performance (CEP) and the technology gap ratio of carbon emission (TGR) with the data envelopment analysis (DEA) method and the meta-frontier model separately to analyze provincial carbon emissions efficiency in China. No matter which indicator was employed, we found that distinct differences exist in the eastern, the central, and the western regions of China, and the eastern region has the highest carbon emission performance, followed by the central and the western regions. Then, the panel data Tobit regression model was employed to analyze the influencing factors of carbon emissions efficiency, and we found that scale economy, industrial structure, degree of opening up, foreign direct investment (FDI), energy intensity, government interference, ownership structure, and capital-labor ratio have different impacts on the carbon emission efficiency in different regions of China, which indicates different policies should be implemented in different regions.
Avian Influenza, Public Opinion, and Risk Spillover: Measurement, Theory, and Evidence from China’s Broiler Market
Authors: Yi Lan , Tao Jianping , Tan Caifeng , Zhu Zhongkun
Published: April 2019

Animal disease is a major threat to the sustainability of the global livestock market. We explore the price risk spillover of avian influenza to the broiler market, from the perspective of public opinion. Unlike in previous work, where avian influenza is measured as a whole, we decompose an avian influenza epidemic into avian influenza outbreak and public opinion, measured by infection cases and Baidu and Google search volume. Theoretically, by introducing the theory of limited attention and two-step flow of communication, we develop an analytical framework to capture the causal mechanism of avian influenza outbreak, public opinion, and broiler price risk spillover, arguing that it is actually public opinion, not avian influenza outbreak alone, that directly causes broiler price risk. Empirically, using a long panel from China spanning from November 2004–November 2017, we examine the causal mechanism and analyse the nonlinear spatial spillover of public opinion to broiler price risk. We find that: (i) neither poultry nor human infection with avian influenza outbreak has a significant spillover to broiler price; (ii) on average, public opinion has a negative spillover to broiler price; in general, spillover of public opinion to broiler price is inverse U-shaped; (iii) on average, public opinion has a negative direct effect on local broiler price and a three times larger negative spatial spillover effect on nearby broiler price; in general, direct and spatial spillover effects are inverse U-shaped. Our research highlights the importance of studying public opinion in amplifying price risk when analysing spillover of animal disease to the global livestock market.
Trends, Costs, and Benefits of Green Certification of Office Buildings: A Polish Perspective
Authors: Plebankiewicz Edyta , Juszczyk Michał , Kozik Renata
Published: April 2019

Green buildings may become the solution to the problem of high energy consumption, including those that are subject to verification by the relevant institutions issuing green certificates. The aim of the paper is an analysis and a brief discussion of trends related to the certification of office buildings in Poland. At the end of 2017, almost 9.7 million m2 of modern office space was available in Poland, of which 62% was a certified area. This constitutes a five percent increase in the share of certified office space in relation to the total modern office space available during 2017. In order to compare the costs and benefits of certified buildings, the costs of an office building and a certified building were simulated. The comparison was made using the idea of costs in the life cycle and calculating the Life Cycle Cost. The difference between the base building and the green one was mainly based on obtaining higher Net Present Value with lower investment expenditures for the green building. There was also a clear difference between the beginning of investment profitability for the different levels of rent.
Validation of Sustainability Benchmarking Tool in the Context of Value-Added Wood Products Manufacturing Activities
Authors: Tasdemir Cagatay , Gazo Rado
Published: April 2019

The primary objective of this study was to validate the sustainability benchmarking tool (SBT) framework proposed by the authors in a previous study. The SBT framework is focused on benchmarking triple bottom line (TBL) sustainability through exhaustive use of lean, six-sigma, and life cycle assessment (LCA). During the validation, sustainability performance of a value-added wood products’ production line was assessed and improved through deployment of the SBT framework. Strengths and weaknesses of the system were identified within the scope of the bronze frontier maturity level of the framework and tackled through a six-step analytical and quantitative reasoning methodology. The secondary objective of the study was to document how value-added wood products industries can take advantage of natural properties of wood to become frontiers of sustainability innovation. In the end, true sustainability performance of the target facility was improved by 2.37 base points, while economic and environmental performance was increased from being a system weakness to achieving an acceptable index score benchmark of 8.41 and system strength level of 9.31, respectively. The social sustainability score increased by 2.02 base points as a function of a better gender bias ratio. The financial performance of the system improved from a 33% loss to 46.23% profit in the post-improvement state. Reductions in CO2 emissions (55.16%), energy consumption (50.31%), solid waste generation (72.03%), non-value-added-time (89.30%), and cost performance (64.77%) were other significant achievements of the study. In the end, the SBT framework was successfully validated at the facility level, and the target facility evolved into a leaner, cleaner, and more responsible version of itself. This study empirically documents how synergies between lean, sustainability, six-sigma and life cycle assessment concepts outweigh their divergences and demonstrates the viability of the SBT framework.
An Analysis of Disparities and Driving Factors of Carbon Emissions in the Yangtze River Economic Belt
Authors: Tang Decai , Zhang Yan , Bethel Brandon J.
Published: April 2019

As one of the “three major strategies” for China’s regional development, the Yangtze River Economic Belt (YREB) is under severe pressure to reduce carbon dioxide emissions, this paper analyzes the spatiotemporal disparities, and driving factors of carbon emissions based on energy consumption and related economic development data in the YREB over the 2005–2016 11-year period. Using the Stochastic Impacts Regression on Population, Affluence and Technology (STIRPAT) model, we empirically test the factors affecting YREB carbon emissions and key drivers in various provinces and municipalities. The main findings are as follows. First, per capita GDP, both industrial structure and energy intensity have positive effects on increasing carbon emissions. Second, per capita GDP and energy intensity have the largest impact on the increase of carbon emissions, and the urbanization rate has the largest inhibitory effect on carbon emissions.
Bayesian-Based NIMBY Crisis Transformation Path Discovery for Municipal Solid Waste Incineration in China
Authors: Yang Qing , Zhu Yanxia , Liu Xingxing , Fu Lingmei , Guo Qianqian
Published: April 2019

Environmental conflicts have been a top global focus and issue for human’s sustainable development. China is confronted with a serious situation with a rigid demand of ecological governance, in which the “Not In My Back Yard” (NIMBY) crisis outbreaks frequently. NIMBY has a great impact on government management and social stability. This study aims to analyze the NIMBY crisis transformation path for municipal solid waste incineration (MSWI) in China. Considering environmental, social and economic influences, this study seeks to find methods of transforming dangers into opportunities. A conceptual framework for realizing the NIMBY crisis transformation in waste management decision-making was conducted with a hybrid approach. A fishbone diagram was applied to explain the key factors of NIMBY crisis transformation for MSWI. Integrating Bayesian network structure discovery and co-word analysis into a qualitative analysis, searched data and key factors from a literature search engine with specific themes were used for structure learning. The results showed that project location, benefit compensation, publicity and education, public decision, public participation, the rule of law and multiple governance have distinct influences on the NIMBY crisis transformation process in China. In summary, the conceptual framework describes the complex process of NIMBY crisis transformation and helps to deepen data mining for municipal solid waste management (MSWM).
Techno-Economic and Sensitivity Analysis of Rainwater Harvesting System as Alternative Water Source
Authors: Abas Pg Emeroylariffion , Mahlia TMI
Published: April 2019

This paper formulates a rainwater harvesting model, with system and economic measures to determine the feasibility of a rainwater harvesting system, which uses water from the mains to complement the system. Although local meteorological and market data were used to demonstrate the model, it can also be easily adapted for analysis of other localities. Analysis has shown that an optimum tank size exists, which minimizes the cost per unit volume of water. Economic performance measures have indicated that rainwater harvesting system is currently infeasible to be implemented in Brunei; with capital cost and water price being shown to be among the prohibiting factors. To improve feasibility, a combination of rebate scheme on capital cost and raising the current water price has been proposed. It has also been shown that the system is more viable for households with high water demand.
Estimation of Greenhouse Gas Emissions Produced by Road Projects in Abu Dhabi, United Arab Emirates
Authors: Alzard Mohammed H. , Maraqa Munjed A. , Chowdhury Rezaul , Khan Qasim , Albuquerque Francisco D. B. , Mauga Timur Ibrahim , Aljunadi Khaled Nazmi
Published: April 2019

Assessing the current levels of greenhouse gas (GHG) emissions from road transportation projects allows for benchmarking and is essential for potential emissions reduction. The objective of this study was to estimate the GHG emissions associated with the construction and operation of three road cases—two primary roads and one secondary road network—in Abu Dhabi, United Arab Emirates. The GHG emissions produced by the study cases were estimated using the RoadCO2 estimation tool. Results showed that the total emissions (in kg CO2e/m2/y) range from 76 for the secondary road case to 1100 for the primary road cases. The operation phase is responsible for 94–98% of these emissions; the construction phase is responsible for the rest. Road works contributed the most to GHG emissions during the construction phase. The contribution of the remaining categories of the construction phase fluctuates within a certain case and among the considered cases. The equipment used in the construction phase for the three cases contributed 15–70% of the total phase emissions, while the remaining emissions were due to construction materials. In the operation phase, emissions were mainly generated by vehicle movement. Street lighting also contributed to emissions during the operation phase. On the other hand, the irrigation of planted trees along the road had a very low impact on GHG emissions, and carbon sequestration by these trees had a negligible effect in terms of acting as a carbon sink. The results obtained from this study were compared with other cases reported in the literature.
Corporate Ethical Responsibility in Management Research: Intellectual Bases, Focus, Salience, and Future
Authors: Jiang Ying , Xue Xiaolong , Lo Chris K. Y. , Wu Hengqin
Published: April 2019

This study provides an overview of corporate ethical responsibility (CER) studies and discusses potential future research directions. We use citations analysis in this study, because it is an efficient method for identifying and visualizing intellectual bases in a given field. Then, it presents a conceptual model that summarizes the key relationships within the CER literature by reviewing the source articles. Finally, this study synthesizes intellectual contributions to CER literature, highlights unresolved issues, and identifies areas for future research.
The Influence of Geographical Factors in Traditional Earthen Architecture: The Case of the Iberian Peninsula
Authors: Mileto Camilla , Vegas López-Manzanares Fernando , Villacampa Crespo Laura , García-Soriano Lidia
Published: April 2019

Geographical and environmental conditions were two of the most important factors on the design and construction of traditional architecture. Traditional earthen architecture is found throughout the Iberian Peninsula in numerous constructive techniques and variants, most notably rammed-earth, adobe and half-timber. The varied morphology, climate, geology and culture of the Iberian Peninsula, together with its immediate surroundings, have a direct effect on the development and the properties of traditional architecture. Thus, the objective of this research is to establish the relationship between the geographical characteristics and the distribution of the earthen techniques. For that purpose, the authors of this text have carried out a thorough data collection throughout the whole of the Iberian Peninsula in order to identify the main characteristics of this architecture in each location and to produce maps featuring the locations for each technique. This mapping of numerous techniques has been compared with other thematic maps of the territory, establishing relationships between the different techniques and specific properties of a given area. These provide hypotheses on which factors encourage or hinder the use of earthen construction techniques. Moreover, the relationship of traditional architecture with geographical factors and its specific morphology on a given place has provided many design lessons for a sustainable architecture. Those lessons must be taken into account on rehabilitation works and new architecture.
Assessing Potential Climate Change Impacts and Adaptive Measures on Rice Yields: The Case of Zhejiang Province in China
Authors: Guo Yahui , Wu Wenxiang , Du Mingzhu , Bryant Christopher Robin , Li Yong , Wang Yuyi , Huang Han
Published: April 2019

Increasing temperatures, greater carbon dioxide concentrations, and changes in related climatic variables will continue to affect the growth and yields of agricultural crops. Rice (Oryza sativa L.) is extremely vulnerable to these climatic changes. Therefore, investigating the degree to which climate changes could influence rice yields and what effective adaptive strategies could be taken to mitigate the potential adverse impacts is of vital importance. In this article, the impacts of climate change on rice yields in Zhejiang province, China, were simulated under the Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios. The impacts of climate change, with and without CO2 fertilization effects, were evaluated and the three most effective adaptive measures were examined. Compared with the yield for the baseline time of 1981–2010, the simulated average yields of all cultivars were inevitably projected to decrease under both RCPs when the CO2 fertilization effects were not considered during the three periods of the 2020s (2011–2040), 2050s (2041–2070), and 2080s (2071–2099), respectively. Declines in rice yields were able to be alleviated when the CO2 fertilization effects were accounted for, but the yields were still lower than those of the baseline. Therefore, the three adaptive measures of advancing planting dates, switching to high-temperature-tolerant cultivars, and breeding new cultivars were simulated. The results indicated that adaptive measures could effectively mitigate the adverse effects of climate change. Although the simulation had uncertainties and limitations, the results provide useful insights into the potential impacts of climate change in Zhejiang province while also proposing adaptive measures.
Conversion of Secondary Forests into Chestnut Forests Affects Soil Nutrients in Anji County, China
Authors: Sun Shiyong , Li Zebo , Wang Rongjia , Zhang Jianfeng , Pan Chunxia , Cai Zeyu
Published: April 2019

The maintenance of drinking water safety is a major environmental issue. It is necessary to strengthen environmental protection in water source areas and establish good vegetation coverage. This study examined the effects of secondary forests transformation on chestnut forests on soil nutrient changes in the Fuji Reservoir, Anji County, Zhejiang province, China. Plots were set up in a chestnut plantation and a nearby secondary forest to measure the nutrient contents of soil samples that were collected from different soil depths. Differences of soil nutrient content from the two stands were significant at 0–20 cm soil depth. There were no significant differences in the contents of total phosphorus and total potassium between the two forests; however, the available phosphorus content in chestnut stands was 2.73 mg/kg higher than in secondary forests. Overall, the soil nutrient contents under chestnut stands were lower than those under secondary forests. Some of the soil surface is exposed due to the low diversity of the chestnut forest. The soil nutrients in the chestnut forest are usually carried and transferred in soil particle form and they become dissolved in the runoff during rainfall and lost, which explains the lower soil nutrient contents in the chestnut forest than the secondary forest. Therefore, for economic forests, such as chestnut forests, measures should be taken to protect understory vegetation and enhance soil and water conservation capacity, which is conducive to retaining soil nutrients.
Estimates of Discharge Coefficient in Levee Breach Under Two Different Approach Flow Types
Authors: Lee Seung Oh , Yoon Kwang Seok , Lee Jun Seon , Hong Seung Ho
Published: April 2019

The amount of released water (discharge) in a levee breach is a primary input variable to establish an emergency action plan for the area next to the levee. However, although several studies have been conducted, there is still no widely applicable discharge coefficient formula; this needs to be known to estimate discharge amount through an opening caused by a levee breach. Sometimes, the discharge coefficient developed for a sharp crested side weir is used to rate the discharge, but, in case of a levee breach, the resulting geometry and flow types are similar to that over a broad crested weir. Thus, in this study, two different openings—rectangular and trapezoidal shape—are constructed in the center of a levee at a height of 0.6m to replicate levee breach scenarios, and the effect of two different approach flow types—the river type approach and reservoir type approach—are explored to suggest a discharge coefficient formula applicable for discharge rating for a levee breach. The results show that the ratio of head above the bottom of an opening and the opening width is a key variable for calculating the discharge coefficient of a reservoir type, but the approach Froude number should also be considered for a river type approach. The measured data are used to improve rating equations and will be useful in the future to validate computational fluid dynamics simulations of wave propagation during levee failure into the inundation area.
The Impact of EU Sponsorship, Size, and Geographic Characteristics on Rural Tourism Development
Authors: Fotiadis Anestis , Nuryyev Guych , Achyldurdyyeva Jennet , Spyridou Anastasia
Published: April 2019

The main purpose of this study was to investigate the factors that promote successful rural tourism development in light of EU sponsorship of rural tourism hosts. The paper examines the effect of the size and geographical characteristics of rural tourism hosts on their views towards rural tourism development. The paper employs factor analysis, t-tests, and ANOVA to analyze the data from the survey of the hosts. The survey was sent to 652 rural tourism hosts, of whom 174 replied, giving a response rate of 27%. The results show the following. Firstly, subsidies, leadership, and cooperation are viewed by the hosts as important factors. Secondly, sponsorship, size, and peripheral economic conditions influence rural tourism hosts’ views on success factors of rural enterprises.
Environmental Sustainability on Tourist Hotels’ Image Development
Authors: Wang Tsai-Chiao , Cheng Jen-Son , Shih Hsin-Yu , Tsai Chia-Liang , Tang Ta-Wei , Tseng Ming-Lang , Yao Ying-Sheng
Published: April 2019

Previous studies are lacking that explore the added values of sustainable practices perceived by consumers. To achieve a balanced development of economy and environmental protection, tourist hotels should develop a service differentiation strategy based on the sustainable practices. By examining the environmental characteristics and performing art in marketing images of a tourist hotel that are attractive to customers, this study built on the attention restoration theory and triple-bottom-line perspective, and employed the eye-tracking analysis technique to investigate the effect of image characteristics on customers’ visual attention. Sixty-three individuals participated in the experiment and observed the performing arts images. This study confirmed that, first, a natural image could attract more of customers’ visual attention than a built image. In particular, the coupling of nature and performing arts can get the most visual attention from customers. Second, older adults prefer natural images, but younger adults do not. However, there is no significant difference in the impact of gender on the customer’s visual attention. Those findings imply that tourist hotels should use the marketing image design to highlight the value-added services derived from environmental protection.
Sustaining Small Exporters’ Performance: Capturing Heterogeneous Effects of Government Export Assistance Programs on Global Value Chain Informedness
Authors: Han Jeong Hugh , Park Hyun-Yong
Published: April 2019

The previous literature extensively highlighted the importance of export promotion programs (EPPs) provided by governments to enhance small- and medium-sized enterprises’ (SMEs) export performance. However, the literature still (1) lacks sufficient depth in analysing the way different types of EPPs sustain SME export performance and (2) suffers from the absence of an EPP portfolio that guides an efficient resource allocation for different EPP types. To fill these gaps, our study (1) developed a research model that integrates three different types of EPPs and (2) tested their indirect impacts on sustainable export performance via global value chain informedness, which is a largely ignored but indispensable capability in exporting. Using a partial least-squares equation model (PLS SEM) method to analyze 156 samples collected from 1st of October to 31st of December of 2018 by accessing Korean SMEs’ export managers, our model addresses the different roles of EPP types and also the part of the SME value chain informedness that acts as a critical enabler for sustaining export performance. Furthermore, by complementing the PLS SEM with an importance and performance analysis matrix (IPA matrix), we provide an action plan that guides an appropriate resource allocation to different types of EPPs. In theory, we provide an explanation for how different EPPs work for SMEs via the value chain informedness of SMEs for the export performance. We further capture such EPPs operating over the longer term, with a lasting export performance of SMEs so as to supply a sounder theoretical rationale for the EPP provision. The action plan delivers strategic implications for policy makers dealing with export-assistance programs operations. With the importance of global network involvement and communication with foreign partners, the incorporation of value chain informedness uncovers the necessity of interfirm network-focused informedness in international business literature.
Container Loading Optimization in Rail–Truck Intermodal Terminals Considering Energy Consumption
Authors: Wang Li , Zhu Xiaoning
Published: April 2019

Rail–truck intermodal terminals are an important type of dry port and play a vital role in inland freight transport. This paper addresses the container loading problem in rail–truck intermodal terminals considering energy consumption under the sustainability concept. We analyze the effect factors of energy efficiency for container loading operations and develop an optimization model to minimize the total handling time and container reshuffling. A genetic algorithm is designed to obtain the optimal container loading sequence. Computational experiments on a specific Chinese rail–truck intermodal terminal were conducted to evaluate the performance of our approach. Results show our approach has a good performance for different sizes, and the total handing time, reshuffling times and energy consumption of the handling task are prominently decreased.
Improving the Sustainability of Open Government Data
Authors: Jiang Hongbo , Shao Qigan , Liou James J.H. , Shao Ting , Shi Xiaosheng
Published: April 2019

In the context of big data, opening government data to society for development and utilization would improve the transparency of government work and promote harmonious social development. Improving the sustainability of open government data (OGD) is an important and challenging issue, and has received the attention of multiple governments. The goals of this study are to construct a new evaluation model for the sustainability of OGD that explores the main influential factors and amends the priorities. We used a combination of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method and the Analytical Network Process (ANP) method known as DANP to construct an influential network relationship map (INRM) of the evaluation system and calculate the criterion weights. The INRM and weights can help decision makers understand the complex assessment system and set priorities for improving OGD. The results demonstrate that the improvement priorities of dimensions have the following order: impact (D4), use (D3), data (D2), and environment (D1). Economic, social, and political values are the three critical factors for improvement of the sustainability of OGD. Some implications for management are also provided.