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  • Articles  (325)
  • MDPI  (272)
  • Institute of Physics  (53)
  • Energy, Environment Protection, Nuclear Power Engineering  (282)
  • Geography  (43)
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  • Articles  (325)
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  • 1
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    IJERPH, Vol. 16, Pages 2326: Applying the Personal and Social Responsibility Model-Based Program: Differences According to Gender between Basic Psychological Needs, Motivation, Life Satisfaction and Intention to be Physically Active (2019)
    MDPI
    Details
    Publication Date: 2019
    Description: The objective of the study was to evaluate the impact of a program based on the Teaching Personal and Social Responsibility (TPSR) on the variables of responsibility, basic psychology needs, motivation, satisfaction with life and the intention to be physically active, as well as the differences of gender. The participants were 85 students (experimental group n = 35, 17 girls and control group n = 50, 28 girls). The students of the experimental group received the TPSR for 8 months within the physical education subject. The findings indicated an improvement in the experimental group in terms of personal responsibility and in the case of female students, in basic psychological needs and intrinsic motivation. In conclusion, the TPSR program can be integrated into the physical education curriculum in order to improve the personal responsibility of students and fulfill their motivation and satisfaction of basic psychological needs.
    Print ISSN: 1661-7827
    Electronic ISSN: 1660-4601
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Medicine
    Published by MDPI
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  • 2
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    Energies, Vol. 12, Pages 3038: Systematic Simplified Simulation Methodology for Deep Energy Retrofitting Towards Nze Targets Using Life Cycle Energy Assessment (2019)
    MDPI
    In: Energies
    Details
    Publication Date: 2019
    Description: The reduction of energy consumption in the residential sector presents substantial potential through the implementation of energy efficiency improvement measures. Current trends involve the use of simulation tools which obtain the buildings’ energy performance to support the development of possible solutions to help reduce energy consumption. However, simulation tools demand considerable amounts of data regarding the buildings’ geometry, construction, and frequency of use. Additionally, the measured values tend to be different from the estimated values obtained with the use of energy simulation programs, an issue known as the ‘performance gap’. The proposed methodology provides a solution for both of the aforementioned problems, since the amount of data needed is considerably reduced and the results are calibrated using measured values. This new approach allows to find an optimal retrofitting project by life cycle energy assessment, in terms of cost and energy savings, for individual buildings as well as several blocks of buildings. Furthermore, the potential for implementation of the methodology is proven by obtaining a comprehensive energy rehabilitation plan for a residential building. The developed methodology provides highly accurate estimates of energy savings, directly linked to the buildings’ real energy needs, reducing the difference between the consumption measured and the predictions.
    Electronic ISSN: 1996-1073
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI
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  • 3
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    Sustainability, Vol. 11, Pages 4256: Motivation, Anxiety, and Emotional Intelligence Are Associated with the Practice of Contact and Non-Contact Sports: An Explanatory Model (2019)
    MDPI
    Details
    Publication Date: 2019
    Description: (1) Background: Several studies have shown that high anxiety impairs sport performance, making it important to develop strategies which improve the emotional self-regulation of athletes. The present study analyzed the relationship between emotional intelligence, motivational climate in sport, and anxiety according to participation in contact or non-contact sports, using multi-group structural equation modeling; (2) Methods: This research was conducted with a sample of 371 semi-professional athletes from Spain. The main variables were emotional intelligence, motivational climate in sport, and anxiety. A multi-group path analysis was developed and demonstrated acceptable fit (χ2 = 418.60; df = 46; p 〈 0.001; Comparative Fit Index (CFI) = 0.959; Normalized Fit Index (NFI) = 0.955; Incremental Fit Index (IFI) = 0.959; Root Mean Square Error of Approximation (RMSEA) = 0.063); (3) Results: A negative association was identified between task-oriented climate and ego-oriented climate. Moreover, there was a positive relationship between task-oriented climate and emotional intelligence, which was strongest in individuals participating in non-contact sports. The relationship between ego-oriented climate and emotional intelligence was less evident. Furthermore, both state anxiety and trait anxiety were negatively correlated with emotional intelligence; (4) Conclusions: The key conclusion from the present research is that task-oriented motivational climates positively influence levels of emotional intelligence and anxiety, especially in contact sports. It is important to encourage the development of self-determined motivational climates in order to avoid emotional states which can hinder performance.
    Electronic ISSN: 2071-1050
    Topics: Energy, Environment Protection, Nuclear Power Engineering
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  • 4
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    Sustainability, Vol. 11, Pages 5649: A CBR–AHP Hybrid Method to Support the Decision-Making Process in the Selection of Environmental Management Actions (2019)
    MDPI
    Details
    Publication Date: 2019
    Description: This paper proposes a hybrid method integrating case-based reasoning (CBR) and analytic hierarchy process (AHP) methods to reinforce the sustainable performance of an environmental management system. The CBR–AHP method aims to support the decision-making process to select environmental management actions (EMAs) aimed at reducing risky trends of the environmental state of a region. The CBR methods takes advantage of a set of situation–solution pairs called cases, which are stored in a memory and then retrieved as candidates to solve new problems. Situations in this work are represented by a set of risky trends of key environmental pathways (KEPs) related to CO2 emissions, air quality, loss of vegetation cover, water availability, and solid waste, the combination of which damage the environmental state quality of a region. Meanwhile, solutions are represented by a set of EMAs. Similar situations to a given current situation are retrieved from the memory of cases, and then their solutions are combined through an adaptation mechanism, until the solution of the current problem is obtained. The AHP method is used to assign weights to environmental variables and to alternative solutions represented by EMAs. We used risky trends derived from real data related to the environmental states of a Mexican region to test the proposed CBR–AHP hybrid method. The results obtained provided insights into the potential of the CBR–AHP hybrid method to support the decision-making process to select EMAs aimed at reducing risky trends of current environmental states.
    Electronic ISSN: 2071-1050
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI
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  • 5
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    Remote Sensing, Vol. 11, Pages 1518: Multi-Temporal Dual- and Quad-Polarimetric Synthetic Aperture Radar Data for Crop-Type Mapping (2019)
    MDPI
    Details
    Publication Date: 2019
    Description: Land-cover monitoring is one of the core applications of remote sensing. Monitoring and mapping changes in the distribution of agricultural land covers provide a reliable source of information that helps environmental sustainability and supports agricultural policies. Synthetic Aperture Radar (SAR) can contribute considerably to this monitoring effort. The first objective of this research is to extend the use of time series of polarimetric data for land-cover classification using a decision tree classification algorithm. With this aim, RADARSAT-2 (quad-pol) and Sentinel-1 (dual-pol) data were acquired over an area of 600 km2 in central Spain. Ten polarimetric observables were derived from both datasets and seven scenarios were created with different sets of observables to evaluate a multitemporal parcel-based approach for classifying eleven land-cover types, most of which were agricultural crops. The study demonstrates that good overall accuracies, greater than 83%, were achieved for all of the different proposed scenarios and the scenario with all RADARSAT-2 polarimetric observables was the best option (89.1%). Very high accuracies were also obtained when dual-pol data from RADARSAT-2 or Sentinel-1 were used to classify the data, with overall accuracies of 87.1% and 86%, respectively. In terms of individual crop accuracy, rapeseed achieved at least 95% of a producer’s accuracy for all scenarios and that was followed by the spring cereals (wheat and barley), which achieved high producer’s accuracies (79.9%-95.3%) and user’s accuracies (85.5% and 93.7%).
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by MDPI
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  • 6
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    IJERPH, Vol. 16, Pages 2488: Spatial Clusters of Children with Cleft Lip and Palate and Their Association with Polluted Zones in the Monterrey Metropolitan Area (2019)
    MDPI
    Details
    Publication Date: 2019
    Description: This study examines the spatial structure of children with cleft lip and palate (CLP) and its association with polluted areas in the Monterrey Metropolitan Area (MMA). The Nearest Neighbor Index (NNI) and the Spatial Statistical Scan (SaTScan) determined that the CLP cases are agglomerated in spatial clusters distributed in different areas of the city, some of them grouping up to 12 cases of CLP in a radius of 1.2 km. The application of the interpolation by empirical Bayesian kriging (EBK) and the inverse distance weighted (IDW) method showed that 95% of the cases have a spatial interaction with values of particulate matter (PM10) of more than 50 points. The study also shows that 83% of the cases interacted with around 2000 annual tons of greenhouse gases. This study may contribute to other investigations applying techniques for the identification of environmental and genetic factors possibly associated with congenital malformations and for determining the influence of contaminating substances in the incidence of these diseases, particularly CLP.
    Print ISSN: 1661-7827
    Electronic ISSN: 1660-4601
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Medicine
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  • 7
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    IJERPH, Vol. 16, Pages 680: Benefits of Advanced Practice Nursing for Its Expansion in the Spanish Context (2019)
    MDPI
    Details
    Publication Date: 2019
    Description: The objective of this study is to describe the impact of the Advanced Practice Nurse role on the clinical practice and patient benefit, as well as to provide reasons for its implementation and expansion in Spain. Through the scoping review method, this study has been carried out according to five thematic blocks: life quality, cost-effectiveness, health results, satisfaction, and accessibility. The critical appraisal was performed with the Critical Appraisal Skills Programme (CASP) tool and the level of evidence and strength of recommendation have been analysed following the Oxford Centre for Evidence-Based Medicine (OCEBM) system. The results show that it is possible to formally implement advanced practice nursing in the Spanish context. The analysis of the Spanish regulatory framework reveals that the generalisation of the Case Manager Nurse is the starting point for the development of advanced practice nursing in Spain. This implementation would have a positive impact on patients in terms of health results, satisfaction, and life quality, given that the advanced practice nurse performs a more effective follow-up of chronic patients with a better control of risk factors, symptoms and health outcomes, and an earlier detection of complications. Considering these results, regional governments should promote the role of the Advanced Practice Nurse to contribute to its expansion.
    Print ISSN: 1661-7827
    Electronic ISSN: 1660-4601
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Medicine
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  • 8
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    IJERPH, Vol. 16, Pages 666: Comparison of Quality of Life and Work Ability of Taxi and Motorcycle Taxi Drivers: Evidence from Brazil (2019)
    MDPI
    Details
    Publication Date: 2019
    Description: Urban transport drivers, specifically taxi and motorcycle taxi drivers, are exposed to particular environmental, societal, and health situations related to their occupation. To compare work capacity and quality of life of taxi and motorcycle taxi drivers, and correlate quality of life and work ability, a cross-sectional descriptive study was conducted among 232 motorcycle taxi drivers and 60 male taxi drivers in urban cities of Brazil. Three instruments were used for evaluation: a questionnaire on sociodemographic and occupational issues, the Work Capacity Index (WCI), and the WHOQOL-bref (World Health Organization Quality of Life–Bref). Taxi drivers presented better evaluation scores in the physical and psychological domains and general quality of life (QOL) (p 〈 0.01), and better self-perceived work ability (lower physical and mental demands, fewer diagnosed diseases, less incapacity for professional practice, p 〈 0.001). In addition, there was a positive relationship between QOL and WCI (p = 0.001). Motorcycle taxi drivers had worse self-perceived QOL and of work ability, and there was a positive correlation between QOL and work ability.
    Print ISSN: 1661-7827
    Electronic ISSN: 1660-4601
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Medicine
    Published by MDPI
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  • 9
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    Sustainability, Vol. 11, Pages 686: Green Premium Evidence from Climatic Areas: A Case in Southern Europe, Alicante (Spain) (2019)
    MDPI
    Details
    Publication Date: 2019
    Description: The existence of a green premium in house (asking) prices in Alicante province, Spain, are analyzed using circa 9000 property observations. In developing the sample, information from energy efficiency certificates was matched with two other databases. The model tests for green premium by climatic zones using pool Ordinary Least Squares (pool-OLS) and Instrumental Variables (IV) hedonic models, adds new knowledge concerning the existence of green premiums from Southern Europe, explores differences in their estimation by climatic zone, debates the nature of the estimated green parameters, and explains the role of endogeneity in hedonic green premium models. The empirical evidence assesses the sensitivity of asking price to either energy consumption (KWh) or carbon dioxide emissions (CO2) with an apparent premium of 3%, and captures an association with efficiency rating from G to F of 1.8% and from F to E of 1.1%. Significantly, the results relating to price responses show a distinct variation between the coast and the cooler climatic zone of the interior. The paper shows that energy efficiency incentive policies should discriminate by climatic areas, and provides a price reference by which to assess the amount of incentives needed to achieve European Union (EU) objectives.
    Electronic ISSN: 2071-1050
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI
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  • 10
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    Sustainability, Vol. 11, Pages 437: Determinants of the Price of Housing in the Province of Alicante (Spain): Analysis Using Quantile Regression (2019)
    MDPI
    Details
    Publication Date: 2019
    Description: After almost a decade of crisis, the housing market in Spain shows significant signs of recovery, with increases in both the average price and the number of sales transactions. Housing is the main asset for the majority of households, and it also has the most resources devoted to it, thus, when it comes to buying a residence, people do not only look at the asset’s intrinsic characteristics, but also consider other particularities such as the neighbourhood, accessibility to services, availability of public transport or adequate funding. The study aimed to analyse and quantify the relationship that exists between the asking price of second-hand housing on the market in Alicante and the attributes that characterise them. This was done using a multivariate analysis to estimate a hedonic pricing model by ordinary least squares and a quantile regression to analyse the impact of the characteristics in different price ranges. The results show the segmentation of the prices in the Alicante market, with higher prices in the northern coastal area over the southern and inland comarcas.
    Electronic ISSN: 2071-1050
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI
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