bluuebunny/crossref_metadata_2025 huggingface dataset:
EBSD Analysis of Metal Matrix Nanocomposite Microstructure Produced by Powder Metallurgy
Authors: Carneiro Íris , Viana Filomena , Vieira Manuel F. , Fernandes José V. , Simões Sónia
Published: June 2019

The development of metal nanocomposites reinforced by carbon nanotubes (CNTs) remains a focus of the scientific community due to the growing need to produce lightweight advanced materials with unique mechanical properties. However, for the successful production of these nanocomposites, there is a need to consolidate knowledge about how reinforcement influences the matrix microstructure and which are the strengthening mechanisms promoting the best properties. In this context, this investigation focuses on the study of the reinforcement effect on the microstructure of an Ni-CNT nanocomposites produced by powder metallurgy. The microstructural evolution was analysed by electron backscattered diffraction (EBSD). The EBSD results revealed that the dispersion/mixing and pressing processes induce plastic deformation in the as-received powders. The dislocation structures produced in those initial steps are partially eliminated in the sintering process due to the activation of recovery and recrystallization mechanisms. However, the presence of CNTs in the matrix has a significant effect on the dislocation annihilation, thus reducing the recovery of the dislocation structures.
The Consumption of Alcoholic Beverages and the Prevalence of Cardiovascular Diseases in Men and Women: A Cross-Sectional Study
Authors: Suliga Edyta , Kozieł Dorota , Ciesla Elzbieta , Rebak Dorota , Głuszek-Osuch Martyna , Naszydłowska Edyta , Głuszek Stanisław
Published: June 2019

Associations between alcohol consumption and the prevalence of cardiovascular diseases have been the subject of several studies for a long time; however, the presence and nature of any associations still remain unclear. The aim of the study was to analyze the associations between the consumption of alcoholic beverages and the prevalence of cardiovascular diseases in men and women. The data of 12,285 individuals aged 37–66 were used in the analysis. Multiple logistic regression models were utilized to estimate odds ratios and confidence intervals. The multivariable models included several potential confounders including age, education, marital status, body mass index (BMI), physical activity, smoking, coffee consumption, and statin use. The analyses were performed separately for men and women. In the model adjusted for confounders, the consumption from 0.1 to 10.0 g of alcohol/day was related to a lower risk of coronary disease and stroke (p < 0.05), and the consumption from 0.1 to 15.0 g/day was related to a lower risk of hypertension in women (p < 0.05). In men, in the adjusted model, there were no associations between alcohol consumption and the occurrence of hypertension or stroke. The risk of circulatory failure was significantly lower in the group in which participants drank more than 20.0 g of alcohol/day (p < 0.05) compared to nondrinkers. The risk of coronary disease was lower in drinkers at every level of alcohol consumption (p < 0.05) compared to nondrinkers. Alcohol consumption was related to a lower prevalence of cardiovascular diseases (CVD), both in men and women.
Effect of Aruncus dioicus var. kamtschaticus Extract on Neurodegeneration Improvement: Ameliorating Role in Cognitive Disorder Caused by High-Fat Diet Induced Obesity
Authors: Park Su Bin , Kang Jin Yong , Kim Jong Min , Park Seon Kyeong , Yoo Seul Ki , Lee Uk , Kim Dae-Ok , Heo Ho Jin
Published: June 2019

This study was performed to estimate the possibility of using an ethyl acetate fraction from Aruncus dioicus var. kamtschaticus (EFAD) on metabolic syndrome that is induced by a high-fat diet (HFD). It was demonstrated that EFAD suppresses lipid accumulation and improves insulin resistance (IR) caused by Tumor necrosis factor alpha (TNF-α) in in-vitro experiments using the 3T3-L1 cell. In in-vivo tests, C57BL/6 mice were fed EFAD at 20 and 40 mg/kg body weight (BW) for four weeks after the mice were fed HFD for 15 weeks to induce obesity. EFAD significantly suppressed the elevation of BW and improved impaired glucose tolerance in obese mice. Additionally, this study showed that EFAD has an ameliorating effect on obesity-induced cognitive disorder with behavioral tests. The effect of EFAD on peripheral-IR improvement was confirmed by serum analysis and western blotting in peripheral tissues. Additionally, EFAD showed an ameliorating effect on HFD-induced oxidative stress, impaired cholinergic system and mitochondrial dysfunction, which are interrelated symptoms of neurodegeneration, such as Alzheimer’s disease and central nervous system (CNS)-IR in brain tissue. Furthermore, we confirmed that EFAD improves CNS-IR by confirming the IR-related factors in brain tissue. Consequently, this study suggests the possibility of using EFAD for the prevention of neurodegeneration by improving metabolic syndrome that is caused by HFD.
Systematic Analysis of the Service Process and the Legislative and Regulatory Environment for a Pharmacist-Provided Naltrexone Injection Service in Wisconsin
Authors: Ford James H. , Gilson Aaron , Mott David A.
Published: June 2019

Community pharmacists are viewed by the public as convenient and trustworthy sources of healthcare and pharmacists likely can play a larger role in addressing the major public health issue of the opioid epidemic affecting Wisconsin residents. Approved medications, including long-acting injectable naltrexone, can transform the treatment of individuals with opioid use disorder (OUD). Due to shortages of behavioral health providers in the U.S., and pharmacists’ knowledge about the safe use of medications, pharmacists can be a significant access point for treating OUD with naltrexone. Wisconsin’s pharmacy practice laws authorize pharmacists to administer medications via injection, and a small number of pharmacists currently are using this authority to provide a naltrexone injection service. This exploratory study had two objectives: (1) describe the pharmacist injection service process and identify barriers and facilitators to that service and (2) analyze the legislative/regulatory environment to ascertain support for expanding naltrexone injection service. Semi-structured pharmacist interviews (n = 4), and an analysis of Wisconsin statutes/regulations governing public health and social services, were undertaken to explore the objectives. Findings suggest that the service process requires considerable coordination and communication with practitioners, patients, and pharmacy staff, but many opportunities exist to broaden and sustain the service throughout Wisconsin.
Entropy Production, Entropy Generation, and Fokker-Planck Equations for Cancer Cell Growth
Authors: Capotosto Salvatore , Smoot Bailey , Hallford Randal , Sharma Preet
Published: June 2019

It is rather difficult to understand biological systems from a physics point of view, and understanding systems such as cancer is even more challenging. There are many factors affecting the dynamics of a cancer cell, and they can be understood approximately. We can apply the principles of non-equilibrium statistical mechanics and thermodynamics to have a greater understanding of such systems. Very much like other systems, living systems also transform energy and matter during metabolism, and according to the First Law of Thermodynamics, this could be described as a capacity to transform energy in a controlled way. The properties of cancer cells are different from regular cells. Cancer is a name used for a set of malignant cells that lost control over normal growth. Cancer can be described as an open, complex, dynamic, and self-organizing system. Cancer is considered as a non-linear dynamic system, which can be explained to a good degree using techniques from non-equilibrium statistical mechanics and thermodynamics. We will also look at such a system through its entropy due to to the interaction with the environment and within the system itself. Here, we have studied the entropy generation versus the entropy production approach, and have calculated the entropy of growth of cancer cells using Fokker-Planck equations.
Fungal Communities Associated with Peacock and Cercospora Leaf Spots in Olive
Authors: Varanda Carla M.R. , Materatski Patrick , Landum Miguel , Campos Maria Doroteia , Félix Maria do Rosário
Published: June 2019

Venturia oleaginea and Pseudocercospora cladosporioides are two of the most important olive fungal pathogens causing leaf spots: peacock spot, and cercosporiosis, respectively. In the present study, fungal communities associated with the presence of these pathogens were investigated. Overall, 300 symptomatic and asymptomatic trees from different cultivars were sampled from Alentejo, Portugal. A total of 788 fungal isolates were obtained and classified into 21 OTUs; Ascomycota was clearly the predominant phylum (96.6%). Trees from cultivar ‘Galega vulgar’ showed a significant higher fungal richness when compared to ‘Cobrançosa’, which in turn showed significant higher values than ‘Picual’. Concerning plant health status, symptomatic plants showed significant higher fungal richness, mainly due to the high number of isolates of the pathogens V. oleaginea and P. cladosporioides. In terms of fungal diversity, there were two major groups: ca. 90% of the isolates found in symptomatic plants belonged to V. oleaginea, P. cladosporioides, Chalara sp., and Foliophoma sp. while ca. 90% of the isolates found in asymptomatic plants, belonged to Alternaria sp. and Epicoccum sp. This study highlights the existence of different fungal communities in olive trees, including potential antagonistic organisms that can have a significant impact on diseases and consequently on olive production.
Photosynthetic Responses of Canola and Wheat to Elevated Levels of CO2, O3 and Water Deficit in Open-Top Chambers
Authors: Maliba Bheki G. , Inbaraj Prabhu M. , Berner Jacques M.
Published: June 2019

The effects of elevated CO2 (700 ppm) and O3 (80 ppb) alone and in combination on the photosynthetic efficiency of canola and wheat plants were investigated in open-top chambers (OTCs). The plants were fumigated for four weeks under well-watered and water-stressed (water deficit) conditions. The fast chlorophyll a fluorescence transients were measured after 2 and 4 weeks of fumigation, as well as in control plants, and analyzed by the JIP-test, which is a non-destructive, non-invasive, informative, very fast and inexpensive technique used to evaluate the changes in photosynthetic efficiency. Biomass measurements were taken only after 4 weeks of fumigation. The performance index (PItotal), an overall parameter calculated from the JIP-test formulae, was reduced by elevated CO2 and O3 under well-watered conditions. In the absence of any other treatment, water stress caused a decrease of the PItotal, and it was partly eliminated by fumigation with elevated CO2 and CO2 + O3. This finding was also supported by the biomass results, which revealed a higher biomass under elevated CO2 and CO2 + O3. The decrease in biomass induced by elevated O3 was likely caused by the decline of photosynthetic efficiency. Our findings suggest that elevated CO2 reduces the drought effect both in the absence and presence of O3 in canola and wheat plants. The study also indicates that elevated O3 would pose a threat in future to agricultural crops.
Replication of Mesoscale Pore One-dimensional Nanostructures: Surface-induced Phase Separation of Polystyrene/Poly(vinyl alcohol) (PS/PVA) Blends
Authors: Muanchan Paritat , Kurose Takashi , Ito Hiroshi
Published: June 2019

Mesoscale pore one–dimensional (1D) nanostructures, or vertically aligned porous nanostructures (VAPNs), have attracted attention with their excellent hydrophobic properties, ultra−high surface area, and high friction coefficient, compared to conventional vertically aligned nanostructures (VANs). In this study, we investigate the replication of VAPNs produced by the thermal nanoimprint process using anodic aluminum oxide (AAO2) templates (100 nm diameter). Polystyrene/poly(vinyl alcohol) (PS1/PVA) blends, prepared by the advanced melt–mixing process with an ultra–high shear rate, are used to investigate the formation of porosity at the nanometer scale. The results reveal that domain size and mass ratios of PVA precursors in the PS matrix play a dominant role in the interfacial interaction behavior between PS1–PVA–AAO2, on the obtained morphologies of the imprinted nanostructures. With a PVA nanodomain precursor (PS1/PVA 90/10 wt%), the integration of PVA nanodroplets on the AAO2 wall due to the hydrogen bonding that induces the phase separation between PS1–PVA results in the formation of VAPNs after removal of the PVA segment. However, in the case of PVA microdomain precursors (PS1/PVA 70/30 wt%), the structure transformation behavior of PS1 is induced by the Rayleigh instability between PVA encapsulated around the PS1 surfaces, resulting in the PS1 nanocolumns transforming into nanopeapods composed of nanorods and nanospheres.
Modelling the Temperature Dependent Biaxial Response of Poly(ether-ether-ketone) Above and Below the Glass Transition for Thermoforming Applications
Authors: Turner Josh A. , Menary Gary H. , Martin Peter J. , Yan Shiyong
Published: June 2019

Desire to accurately predict the deformation behaviour throughout industrial forming processes, such as thermoforming and stretch blow moulding, has led to the development of mathematical models of material behaviour, with the ultimate aim of embedding into forming simulations enabling process and product optimization. Through the use of modern material characterisation techniques, biaxial data obtained at conditions comparable to the thermoforming process was used to calibrate the Buckley material model to the observed non-linear viscoelastic stress/strain behaviour. The material model was modified to account for the inherent anisotropy observed between the principal directions through the inclusion of a Holazapfel–Gasser–Ogden hyperelastic element. Variations in the post-yield drop in stress values associated with deformation rate and specimen temperature below the glass transition were observable, and facilitated in the modified model through time-temperature superposition creating a linear relationship capable of accurately modelling this change in yield stress behaviour. The modelling of the region of observed flow stress noted when above the glass transition temperature was also facilitated through adoption of the same principal. Comparison of the material model prediction was in excellent agreement with experiments at strain rates and temperatures of 1–16 s−1 and 130–155 °C respectively, for equal-biaxial mode of deformation. Temperature dependency of the material model was well replicated with across the broad temperature range in principal directions, at the reference strain rate of 1 s−1. When concerning larger rates of deformation, minimum and maximum average error levels of 6.20% and 10.77% were noted. The formulation, and appropriate characterization, of the modified Buckley material model allows for a stable basis in which future implementation into representative forming simulations of poly-aryl-ether-ketones, poly(ether-ether-ketone) (PEEK) and many other post-yield anisotropic polymers.
Generalized Multiplicative Risk Apportionment
Authors: Wang Hongxia
Published: June 2019

This work examines apportionment of multiplicative risks by considering three dominance orderings: first-degree stochastic dominance, Rothschild and Stiglitz’s increase in risk and downside risk increase. We use the relative nth-degree risk aversion measure and decreasing relative nth-degree risk aversion to provide conditions guaranteeing the preference for “harm disaggregation” of multiplicative risks. Further, we relate our conclusions to the preference toward bivariate lotteries, which interpret correlation-aversion, cross-prudence and cross-temperance.
Simulation Assessment of the Performance of a Redundant SCARA
Authors: Bussola Roberto , Legnani Giovanni , Callegari Massimo , Palmieri Giacomo , Palpacelli Matteo-Claudio
Published: June 2019

The present paper analyses the potential dynamic performance of a novel redundant SCARA robot, currently at the stage of a functional design proposed by a renowned robot manufacturer. The static and dynamic manipulability of the new concept is compared with the conventional model of the same manufacturer by means of computer simulation in typical pick and place tasks arising from industry. The introduction of a further revolute joint in the SCARA robot kinematics leads to some improvements in the kinematic and dynamic behaviour at the expense of a greater complexity. In this paper, the potential of a redundant SCARA architecture in cutting cycle-times is investigated for the first time in performing several tasks. It is shown that, in order to exploit the possible enhancements of the redundant structure, the whole manipulator, mechanics and control must be redesigned according to specific tasks aiming at the optimization of their cycle-time.
A Tactile-Based Wire Manipulation System for Manufacturing Applications
Authors: Palli Gianluca , Pirozzi Salvatore
Published: June 2019

This paper presents experimental results developed within the WIRES experiment, whose main objective is the robotized cabling of switchgears. This task is currently executed by human operators; the WIRES Project tackles the development of a suitably designed sensorized end effector for the wire precise manipulation. In particular, the developed gripper with tactile sensors are shown and a procedure for the implementation of the insertion task is presented and discussed. Experimental results are reported both for quality of wire shape reconstruction and success rate of insertion task implementation.
Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region
Authors: Liang Li , Liu Qingsheng , Liu Gaohuan , Li He , Huang Chong
Published: June 2019

Land cover is a fundamental component of crucial importance in the earth sciences. To date, many excellent international teams have created a variety of land cover products covering the entire globe. To provide a reference for researchers studying the Arctic, this paper evaluates four commonly used land cover products. First, we compare and analyze the four land cover products from the perspectives of land cover type, distribution and spatial heterogeneity. Second, we evaluate the accuracy of such products by using two sets of sample points collected from the Arctic region. Finally, we obtain the spatial consistency distribution of the products by means of superposition analysis. The results show the following: (a) among the four land cover products, Climate Change Initiative Land Cover (CCI-LC) has the highest overall accuracy (63.5%) in the Arctic region, GlobeLand30 has an overall accuracy of 62.2% and the overall accuracy of the Global Land Cover by the National Mapping Organization (GLCNMO) is only 48.8%. When applied in the Arctic region, the overall accuracy of the Moderate Resolution Imaging Spectroradiometer (MODIS) is only 29.5% due to significant variances. Therefore, MODIS and GLCNMO are not recommended in Arctic-related research as their use may lead to major errors. (b) An evaluation of the consistency of the four products indicates that the classification of the large-scale homogeneous regions in the Arctic yields satisfactory results, whereas the classification results in the forest–tundra ecotone are unsatisfactory. The results serve as a reference for future research. (c) Among the four products, GlobeLand30 is the best choice for analyzing finely divided and unevenly distributed surface features such as waters, urban areas and cropland. Climate Change Initiative Land Cover (CCI-LC) has the highest overall accuracy, and its classification accuracy is relatively higher for forests, shrubs, sparse vegetation, snow/ice and water. GlobeLand30 and CCI-LC do not vary much from each other in terms of overall accuracy. They differ the most in the classification accuracy of shrub-covered land; CCI-LC performed better than GlobeLand30 in the classification of shrub-covered land, whereas the latter obtained higher accuracy than that of the former in the classification of urban areas and cropland.
Automatic Updating of Land Cover Maps in Rapidly Urbanizing Regions by Relational Knowledge Transferring from GlobeLand30
Authors: Lin Cong , Du Peijun , Samat Alim , Li Erzhu , Wang Xin , Xia Junshi
Published: June 2019

Land-cover map is the basis of research and application related to urban planning, environmental management and ecological protection. Land-cover updating is an essential task especially in a rapidly urbanizing region, where fast development makes it necessary to monitor land-cover change in a timely manner. However, conventional approaches always have the limitations of large amounts of sample collection and exploitation of relational knowledge between multi-modality remote sensing datasets. With some global land-cover products being available, it is important to produce new land-cover maps based on the existing land-cover products and time series images. To this end, a novel transfer learning based automatic approach was proposed for updating land cover maps of rapidly urbanizing regions. In detail, the proposed method is composed of the following three steps. The first is to design a strategy to extract reliable land-cover information from the historical land-cover map for one of the images (source domain). Then, a novel relational knowledge transfer technique is applied to transfer label information. Finally, classifiers are trained on the transferred samples with spatio-spectral features. The experimental results show that aforementioned steps can select sufficient effective samples for target images, and for the main land-cover classes in a rapidly urbanizing region; the results of an updated map show good performance in both precision and vision. Therefore, the proposed approach provides an automatic solution for urban land-cover mapping with a high degree of accuracy.
Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range
Authors: Brugger Anna , Behmann Jan , Paulus Stefan , Luigs Hans-Georg , Kuska Matheus Thomas , Schramowski Patrick , Kersting Kristian , Steiner Ulrike , Mahlein Anne-Katrin
Published: June 2019

Previous plant phenotyping studies have focused on the visible (VIS, 400–700 nm), near-infrared (NIR, 700–1000 nm) and short-wave infrared (SWIR, 1000–2500 nm) range. The ultraviolet range (UV, 200–380 nm) has not yet been used in plant phenotyping even though a number of plant molecules like flavones and phenol feature absorption maxima in this range. In this study an imaging UV line scanner in the range of 250–430 nm is introduced to investigate crop plants for plant phenotyping. Observing plants in the UV-range can provide information about important changes of plant substances. To record reliable and reproducible time series results, measurement conditions were defined that exclude phototoxic effects of UV-illumination in the plant tissue. The measurement quality of the UV-camera has been assessed by comparing it to a non-imaging UV-spectrometer by measuring six different plant-based substances. Given the findings of these preliminary studies, an experiment has been defined and performed monitoring the stress response of barley leaves to salt stress. The aim was to visualize the effects of abiotic stress within the UV-range to provide new insights into the stress response of plants. Our study demonstrated the first use of a hyperspectral sensor in the UV-range for stress detection in plant phenotyping.
Semantic Segmentation of SLAR Imagery with Convolutional LSTM Selectional AutoEncoders
Authors: Gallego Antonio-Javier , Gil Pablo , Pertusa Antonio , Fisher Robert B.
Published: June 2019

We present a method to detect maritime oil spills from Side-Looking Airborne Radar (SLAR) sensors mounted on aircraft in order to enable a quick response of emergency services when an oil spill occurs. The proposed approach introduces a new type of neural architecture named Convolutional Long Short Term Memory Selectional AutoEncoders (CMSAE) which allows the simultaneous segmentation of multiple classes such as coast, oil spill and ships. Unlike previous works using full SLAR images, in this work only a few scanlines from the beam-scanning of radar are needed to perform the detection. The main objective is to develop a method that performs accurate segmentation using only the current and previous sensor information, in order to return a real-time response during the flight. The proposed architecture uses a series of CMSAE networks to process in parallel each of the objectives defined as different classes. The output of these networks are given to a machine learning classifier to perform the final detection. Results show that the proposed approach can reliably detect oil spills and other maritime objects in SLAR sequences, outperforming the accuracy of previous state-of-the-art methods and with a response time of only 0.76 s.
Pre-Collapse Space Geodetic Observations of Critical Infrastructure: The Morandi Bridge, Genoa, Italy
Authors: Milillo Pietro , Giardina Giorgia , Perissin Daniele , Milillo Giovanni , Coletta Alessandro , Terranova Carlo
Published: June 2019

We present a methodology for the assessment of possible pre-failure bridge deformations, based on Synthetic Aperture Radar (SAR) observations. We apply this methodology to obtain a detailed 15-year survey of the Morandi bridge (Polcevera Viaduct) in the form of relative displacements across the structure prior to its collapse on August 14th 2018. We generated a displacement map for the structure from space-based SAR measurements acquired by the Italian constellation COSMO-SkyMed and the European constellation Sentinel-1A/B over the period 2009–2018. Historical satellite datasets include Envisat data spanning 2003–2011. The map reveals that the bridge was undergoing an increased magnitude of deformations over time prior to its collapse. This technique shows that the deck next to the collapsed pier was characterized since 2015 by increasing relative displacements. The COSMO-SkyMed dataset reveals the increased deformation magnitude over time of several points located near the strands of this deck between 12th March 2017 and August 2018.
Time-Series Chlorophyll Fluorescence Imaging Reveals Dynamic Photosynthetic Fingerprints of sos Mutants to Drought Stress
Authors: Sun Dawei , Zhu Yueming , Xu Haixia , He Yong , Cen Haiyan
Published: June 2019

Resistance to drought stress is one of the most favorable traits in breeding programs yet drought stress is one of the most poorly addressed biological processes for both phenomics and genetics. In this study, we investigated the potential of using a time-series chlorophyll fluorescence (ChlF) analysis to dissect the ChlF fingerprints of salt overly sensitive (SOS) mutants under drought stress. Principle component analysis (PCA) was used to identify a shifting pattern of different genotypes including sos mutants and wild type (WT) Col-0. A time-series deep-learning algorithm, sparse auto encoders (SAEs) neural network, was applied to extract time-series ChlF features which were used in four classification models including linear discriminant analysis (LDA), k-nearest neighbor classifier (KNN), Gaussian naive Bayes (NB) and support vector machine (SVM). The results showed that the discrimination accuracy of sos mutants SOS1-1, SOS2-3, and wild type Col-0 reached 95% with LDA classification model. Sequential forward selection (SFS) algorithm was used to obtain ChlF fingerprints of the shifting pattern, which could address the response of sos mutants and Col-0 to drought stress over time. Parameters including QY, NPQ and Fm, etc. were significantly different between sos mutants and WT. This research proved the potential of ChlF imaging for gene function analysis and the study of drought stress using ChlF in a time-series manner.
Water Temperature Observation by Coastal Acoustic Tomography in Artificial Upwelling Area
Authors: Huang Haocai , Guo Yong , Wang Zhikun , Shen Yun , Wei Yan
Published: June 2019

Artificial upwelling is a geoengineering method to repair and improve marine ecosystems, and its operation requires long-term and continuous temperature field observation. However, existing methods are rarely seen to accomplish such observation. In this study, we investigate the coastal acoustic tomography (CAT) to obtain the long-term horizontal temperature field of an artificial upwelling area in an anechoic tank. We conduct four sets of experiments with different CAT station numbers and compare their data with those collected from temperature sensors. By analyzing the travel time from the CAT experiments, the horizontal temperature field of the upwelling area could be mapped. The CAT results and the comparison results show that the surface temperature of the observed area decreases by approximately 3 °C after upwelling, while the temperature of where the CAT is deployed decreases by about 1 °C; the temperature is lowest at the center of the upwelling area. Increasing the number of stations and station spacing would improve the temperature mapping accuracy. Therefore, the feasibility of using the CAT system to observe artificial upwelling is proved valid. This study indicates the potential application of CAT in temperature field observation in artificial upwelling area in the sea.
Influence of Emotional Intelligence and Burnout Syndrome on Teachers Well-Being: A Systematic Review
Authors: Puertas Molero Pilar , Zurita Ortega Félix , Ubago Jiménez José Luis , González Valero Gabriel
Published: June 2019

Background: Emotional Intelligence (EI) has become a key factor in educational environments, which facilitates and contributes to the mental well-being of teachers, and therefore, favours the teaching and learning process. However, education professionals are under constant stress. This stress is caused by a large number of social interactions, the new skills to be acquired, and the workload, developing in many situations the Burnout Syndrome (BS). Methods and Results: The study presents a systematic review, paying special attention to the scientific literature that combines IE and BS in the work performance of teachers as fundamental factors in the work carried out by educators at different educational stages, as well as the influence they have on the quality of the teaching-learning process. The Web of Science (WOS) has been used as a database, obtaining a total of 36 scientific articles intimately related to the topic of the work, published between 2005 and 2017. Many studies show that teachers are increasingly experiencing high feelings of stress, which affect the quality of education, as well as the relevance of developing emotional intelligence, which helps prevent these negative feelings from appearing. Conclusions: EI is a capacity that should be developed in teachers, since it gives the individual the ability to regulate his emotions, making him stronger in terms of decision-making in daily situations in the teaching environments, as well as being a key factor for the success of education. Through the positive reinforcement of EI, levels of stress and anxiety that worry society so much are reduced, since this avoids the feeling of frustration before their professional realisation, which leads to improved teaching practice, health and mental well-being of teachers.
Meat Analogs from Different Protein Sources: A Comparison of Their Sustainability and Nutritional Content
Authors: Fresán Ujué , Mejia Maximino Alfredo , Craig Winston J , Jaceldo-Siegl Karen , Sabaté Joan
Published: June 2019

Meat analogs are processed foods designed to mimic meat products. Their popularity is increasing among people seeking foods that are healthy and sustainable. Animal-sourced protein products differ in both their environmental impact and nutritional composition. The protein sources to produce meat analogs come from different plants. There is a lack of published research data assessing differences in these two aspects of meat analogs according to the plant protein source. This study compared the greenhouse gas (GHG) emissions of different types of meat analogs according to their main source of protein (wheat, soy, wheat and soy, or nuts), and their nutritional composition. We also compared totally plant-based products with those containing egg. We performed life cycle analyses of 56 meat analogs from ingredient production to the final commercial product. The nutrient profile of the meat analogs was analyzed based on ingredients. Descriptive statistics and differences between means were assessed through t-test and ANOVA. No differences in GHG emissions were observed among products with different major sources of protein. However, egg-containing products produced significantly higher amounts of GHG (p < 0.05). The nutritional composition of all meat analogs was found to be quite similar. Altogether, total plant-based meat analogs should be the choice for the sake of the environment.
Household Income Diversification and Food Security: Evidence from Rural and Semi-Urban Areas in Ethiopia
Authors: Etea Bekele Gebisa , Zhou Deyi , Abebe Kidane Assefa , Sedebo Dessalegn Anshiso
Published: June 2019

Reducing food insecurity remains a major public policy challenge in developing countries. Food insecurity becomes severe in areas where households highly depend on undiversified livelihoods. However, studies linking household income diversification to food security are limited. This study, therefore, examined the effect of income diversification on food security in the Ambo district, Ethiopia. A survey of rural (n = 175) and semi-urban (n = 175) households was conducted. The Simpson’s index of diversity (SID) was used to measure the level of household income diversity. Food security (access) was measured using the daily calorie consumption (nutrition-based) and the household food insecurity access scale (HFIAS) (experience-based) methods. Consequently, we used binary logistic regression and ordinary least squares (OLS) estimation methods to determine the effect of household income diversity on food security. The instrumental variable (IV) method was also employed to overcome an endogeneity bias. The results revealed that the level of household income diversification was low, and the majority of households were food insecure. The binary logistic and the second-stage least square (2SLS) regression results suggested that income diversification contributes significantly and positively to food security in the study areas. Therefore, we conclude that income diversification reduces food insecurity by enhancing households’ access to food.
Low-Carbon Initiatives of Logistics Service Providers: The Perspective of Supply Chain Integration
Authors: Qian Cheng , Wang Shenghui , Liu Xiaohong , Zhang Xueying
Published: June 2019

Logistics service providers (LSPs) are under tremendous pressure in the fight against global climate change. While existing research has examined the operational importance of LSPs in decarbonizing supply chains, the strategic perspective of LSPs on low carbon supply chains has not received enough attention. Motivated by the evolving role of LSPs from a service provider to a resource integrator in the supply chain, drawing on the relational view of inter-organizational competitive advantage, this paper focuses on LSPs’ low-carbon supply chain integration (SCI) and empirically investigates its drivers and outcomes. Data from 124 Chinese LSPs shows that LSPs’ corporate environmental responsibility and customer environmental requirement have positive relationships with LSPs’ low-carbon SCI, and that LSPs’ low-carbon SCI is positively related to LSPs’ environmental and financial performance. In addition, LSPs’ environmental performance is found to have a positive relationship with LSPs’ financial performance. These findings not only provide new insights for LSPs’ low-carbon supply chain initiatives, but also highlight the importance of SCI as a strategic approach in low-carbon supply chain management.
Spaces for Collaborative Arrangements as Social Sustainability in Rural Accommodation in Brazil: Pouso dos Paula
Authors: Torres Tricárico Luciano , dos Santos Pires Paulo , da Conceição Walkowski Marinês
Published: June 2019

Studies of collaborative arrangements are usually based on socioeconomic interpretations, with little research exploring the socio-spatial perspective. The assumption is that space (as an epistemic category) can promote collaborative arrangements. Thus, the objective of the research was to describe the spaces of rural accommodation establishments as a sign of collaboration, which is understood as a socio-spatial entity. For this purpose, Pouso dos Paula (Nova Friburgo, RJ, Brazil) was the object of the study. This study was qualitative, exploratory, and descriptive in nature with a phenomenological approach. Primary data was collected from websites, leaflets, and videos about the object of study and in situ (photographic and architectural survey and reading of space). Secondary data was collected from the literature. The data collected were analyzed in the light of the theory of montage, based on the idea of abduction of Peircean semiotics. The results showed collaboration in spaces of the rural accommodation studied, which generally signifies and reveals spatial conditions for carrying out civic initiatives, meets social demands, and for gives rise to collaborative arrangements in rural areas which, together, can lead to political empowerment in rural Brazil, which are understood as a factor of social sustainability. The originality of the study lies in the recognition of the role of space of rural accommodation in promoting social sustainability.
Pro-Environmental Behaviours and Value-Belief-Norm Theory: Assessing Unobserved Heterogeneity of Two Ethnic Groups
Authors: Ghazali Ezlika M. , Nguyen Bang , Mutum Dilip S. , Yap Su-Fei
Published: June 2019

Previous environmental sustainability studies have examined only limited type of pro-environmental behaviour (PEB; e.g., recycling), but have not explored relationships among various types or dimensions of PEBs. This paper explores six types of PEBs (i.e., activist, avoider, green consumer, green passenger, recycler and utility saver) and investigates their antecedents and interrelationships between two ethnic groups—Malays and Chinese in Malaysia. Survey data from 581 respondents, comprising 307 Malays and 274 Chinese, were used to assess the research model. To conduct multi-group analysis, the study used partial least squares structural equation modelling in SmartPLS 3. The study extends the Value-Belief-Norm (VBN) theory by using social norms to predict PEBs. The results suggest that social norms predict each type of PEB, in contrast to other constructs in VBN theory, except for utility-saving behaviours. The findings also reveal some similarities as well as differences between Malays and Chinese, indicating that the two ethnic groups are not homogeneous. The study is the first to simultaneously study six types of PEB and to examine the differences between Malays and Chinese on PEB constructs and offers a valuable contribution to the literature by extending VBN theory to social norms and PEB.
Intercultural Education for Sustainability in the Educational Interventions Targeting the Roma Student: A Systematic Review
Authors: Salgado-Orellana Norma , Berrocal de Luna Emilio , Sánchez-Núñez Christian Alexis
Published: June 2019

The ethnic and cultural diversity of today’s society demands an intercultural education that promotes equal opportunities and the inclusion of minority groups at risk of social exclusion. Various policies and governmental strategies are directed at favoring social inclusion and reducing situations of discrimination and exclusion. One of said ethnic minorities is the Roma community. This article talks about measures for reversing the high rates of absenteeism, dropout, and school failure. The aim of this systematic review in the educational context is to analyze programs and interventions that have been made to promote the educational inclusion of Roma students. Three databases were used—Scopus, Web of Science, and Eric—to examine 419 articles. After a selection, based on an inclusion criterion, which follows the guidelines given by the Declaration of Preferred Reporting Items for Systematic Reviews and Meta-Analyzes (PRISMA), 17 articles were chosen for the analysis. The main findings shed light on data for programs and interventions developed mostly within the school setting and for students of elementary and secondary education, however, there are also interventions that are developed in the community and extracurricular context. The works are centralized in valuing the cultural diversity of the Roma people with the Roma students but not just exclusive to them. Highlighted is the implementation of teacher assistants and/or intercultural mediators from the Roma community to be role models or references for the students, and family education participation is considered common practice. Such characteristics in educational interventions contribute to an inclusive education in an intercultural and sustainable manner.
Resource-Based View and SMEs Performance Exporting through Foreign Intermediaries: The Mediating Effect of Management Controls
Authors: Ramon-Jeronimo Juan Manuel , Florez-Lopez Raquel , Araujo-Pinzon Pedro
Published: June 2019

Following the resource-based view, this research empirically explores the role of formal and informal management control in mobilizing export resources to develop export capabilities, influencing the export performance of small and medium-sized enterprises (SMEs) in an interorganizational relationship context. Empirical data were collected using a survey administrated online to finance managers in Spanish SMEs which use foreign intermediaries to access export markets. In this setting, evidence mainly suggests, first, that management control systems (MCSs) play a relevant mediating role between the effect of, on the one hand, resources on capabilities, and, on the other hand, resources and capabilities on performance. Second, that MCSs and capabilities play a interrelated double mediating effect between the impact of resources on performance; more specifically, a significant double indirect effect is found (1) between financial resources, behavior control, customer relationship building capability and performance, and (2) between physical resources, behavior control, customer relationship building capability and performance.
Two-Stage Covering Location Model for Air–Ground Medical Rescue System
Authors: Zhang Ming , Zhang Yu , Qiu Zhifeng , Wu Hanlin
Published: June 2019

This study tackled the multimodal facility location problem in emergency medical rescue. First, an intermodal setting was suggested, i.e., considering cooperation between ground ambulances and helicopters in emergency medical rescues. Specifically, four scheduling modes were structured: air only, ground only, air-ground combined mode if landing and take-off site for helicopters near the wounded is available, and air-ground transshipment if the landing and take-off site for helicopters near the wounded is not available. Second, a two-stage covering location model was proposed. In the first stage, a set-covering model was developed to achieve maximum coverage and minimal total construction cost of emergency rescue facilities. The optimal mixed allocation proportion of helicopters and ground ambulances was then obtained to guarantee cohesion between the hierarchical models and covering characteristics and the economic efficiency of location results. In the second stage, for given emergency locations, an emergency scheduling mode matrix was constructed for meeting response time and total rescue time constraints. The proposed model obtains optimal results in terms of coverage, construction cost, and rescue time. A case study of Beijing, China validated the feasibility and efficiency of the two-stage covering location model for multimodal emergency medical rescue network. The proposed air-ground rescue system and two-stage covering location model can be extended and also used for large-scale disaster rescue management.
Socio-Demographic Predictors of Food Waste Behavior in Denmark and Spain
Authors: Grasso Alessandra C. , Olthof Margreet R. , Boevé Anja J. , van Dooren Corné , Lähteenmäki Liisa , Brouwer Ingeborg A.
Published: June 2019

Food waste generated at the household level represents about half of the total food waste in high-income countries, making consumers a target for food waste reduction strategies. To successfully reduce consumer food waste, it is necessary to have an understanding of factors influencing food waste behaviors (FWB). The objective of this study was to investigate socio-demographic predictors of FWB among consumers in two European countries: Denmark and Spain. Based on a survey involving 1518 Danish and 1511 Spanish consumers, we examined the associations of age, sex, education, marital status, employment status, and household size with FWB. By using structural equation modeling based on confirmatory factor analysis, we created the variable FWB from self-reported food waste and two activities that have been correlated with the amount of food wasted in previous studies: namely, shopping routines and food preparation. Results show that being older, unemployed, and working part-time were associated with less food waste behavior in both countries. In Denmark, being male was associated with more food waste behavior, and living in a household with four or more people was associated with less food waste behavior. These results underscore the modest role of socio-demographic characteristics in predicting food waste behavior in Europe.
Realistic Traffic Condition Informed Life Cycle Assessment: Interstate 495 Maintenance and Rehabilitation Case Study
Authors: Haslett Katie E. , Dave Eshan V. , Mo Weiwei
Published: June 2019

As construction costs continue to rise and adequate amounts of funding continues to be a challenge, the allocation of resources is of critical importance when it comes to the maintenance and rehabilitation (M&R) of highway infrastructure. A Life Cycle Assessment (LCA) methodology is presented here that integrates realistic traffic conditions in the operational phase to compare M&R scenarios over the analysis period of a 26-km stretch of Interstate-495. Pavement International Roughness Index (IRI) were determined using American Association of State Highway and Transportation Officials (AASHTO) PavementME System. Meanwhile, vehicle fuel consumption and emission factors were calculated using a combination of Google Maps®, the United States Environmental Protection Agency (EPA) Motor Vehicle Emission Simulator, the second Strategic Highway Research Program (SHRP2) Naturalistic Driving Study, and MassDOT’s Transportation Data Management System. The evaluation of pavement performance with realistic traffic conditions, varying M&R strategies, and material characteristics was quantified in terms of Life Cycle Cost (LCC), Global Warming Potential (GWP), and Cumulative Energy Demand (CED) for both agencies and users. The inclusion of realistic traffic conditions into the use phase of the LCA resulted in a 6.4% increase in CED and GWP when compared to baseline conditions simulated for a week long operation duration. Results from this study show that optimization of M&R type, material selection, and timing may lead to a 2.72% decrease in operations cost and 47.6% decrease in construction and maintenance costs.