Learning Approaches: Cross-Cultural Differences (Spain-Argentina) and Academic Achievement in College Students.

Learning approaches describe the students' degree of cognitive commitment to learning in diverse types of academic tasks and educational environments. Even though from a micro-level perspective different profiles of approaches have been identified in high-achievement undergraduates attending several majors, such profiles have not been examined from a macro-level approach in terms of distinct educational cultures. Therefore, the research involved two studies conducted on undergraduates from Argentina and Spain: The first one was aimed at analyzing the psychometric features of the Approaches and Study Skills Inventory for Students (ASSIST) whereas the second was focused on examining the learning approaches profiles of high and low achievers attending the same major (Psychology) in two different educational cultures (Spain and Argentina). The scale's original internal structure, examined on a sample of 400 participants (50% Spanish), was verified except for one item, which was fatherly eliminated. The resulting structure was tested and proven verified in a new sample (N = 1,334; 58.3% Spanish) by confirmatory factor analysis, factorial invariance, and internal consistency studies. External validity evidence was examined as well. Additionally, norms to be used in the professional field were calculated.Profiles of learning approaches by academic achievement from each country were examined by latent class analysis. In both cases, high achievers reported higher and more frequent use of the Deep and Strategic approaches and lower and less frequent usage of the Surface one. Further studies should replicate these analyses in undergraduates attending other majors in order to test the hypothesis sustaining these findings' generalization.

Learning Approaches: Cross-Cultural Differences (Spain–Argentina) and Academic Achievement in College Students

Learning approaches describe the students’ degree of cognitive commitment to learning in diverse types of academic tasks and educational environments. Even though from a micro-level perspective different profiles of approaches have been identified in high-achievement undergraduates attending several majors, such profiles have not been examined from a macro-level approach in terms of distinct educational cultures. Therefore, the research involved two studies conducted on undergraduates from Argentina and Spain: The first one was aimed at analyzing the psychometric features of the Approaches and Study Skills Inventory for Students (ASSIST) whereas the second was focused on examining the learning approaches profiles of high and low achievers attending the same major (Psychology) in two different educational cultures (Spain and Argentina). The scale’s original internal structure, examined on a sample of 400 participants (50% Spanish), was verified except for one item, which was fatherly eliminated. The resulting structure was tested and proven verified in a new sample (N = 1,334; 58.3% Spanish) by confirmatory factor analysis, factorial invariance, and internal consistency studies. External validity evidence was examined as well. Additionally, norms to be used in the professional field were calculated.Profiles of learning approaches by academic achievement from each country were examined by latent class analysis. In both cases, high achievers reported higher and more frequent use of the Deep and Strategic approaches and lower and less frequent usage of the Surface one. Further studies should replicate these analyses in undergraduates attending other majors in order to test the hypothesis sustaining these findings’ generalization. (AU)

Adaptación y validación transcultural al español del University Student Engagement Inventory / Cross-cultural Adaptation and Validation of the University Student Engagement Inventory into Spanish

Resumen Introducción: el compromiso académico hace referencia a la predisposición que los estudiantes tienen a participar de manera activa en la vida universitaria, asistiendo a las clases, entregando los trabajos a tiempo y siguiendo las instrucciones de los docentes. Existe evidencia que demuestra que el compromiso académico predice positivamente el éxito de los estudiantes. Por esta razón, es que su evaluación cobra gran relevancia para el ámbito educativo universitario a la hora de diseñar prácticas pedagógicas que estimulen el compromiso de los alumnos. El objetivo del presente trabajo fue adaptar y validar la versión del University Student Engagement Inventory (USEI) al español, contemplando diferencias lingüísticas y culturales de tres países hispanohablantes. Método: participaron 921 estudiantes universitarios de España, Argentina y Uruguay. Se aplicó el USEI que consta de 15 afirmaciones agrupadas en tres dimensiones de compromiso: conductual, cognitivo, emocional. Resultados: después de que tres traductores realizaran la adaptación lingüística del instrumento, nueve jueces expertos analizaron el contenido de los ítems y conservaron como resultado la totalidad de los reactivos. Más adelante, se analizó y verificó la estructura interna del instrumento -análisis factorial confirmatorio, validación cruzada, invarianza factorial, consistencia interna-, y también se obtuvo adecuada evidencia de validez externa concurrente entre las dimensiones del USEI y los enfoques de aprendizaje. Conclusión: se obtuvo una versión en español del USEI con adecuadas propiedades psicométricas que puede ser empleado en el ámbito de aplicación con el propósito de identificar el compromiso académico de los estudiantes y proponer acciones orientadas a mejorar sus aprendizajes.

Abstract Introduction: Academic engagement refers to the predisposition that students must actively participate in university life, attending classes, turning in work on time, and following teachers' instructions. There is evidence that shows that academic engagement positively predicts student success. For this reason, its evaluation is of great relevance for university education when designing pedagogical practices that stimulate student engagement. The aim of this study was to adapt and validate the University Student Engagement Inventory (USEI) into Spanish, considering linguistic and cultural differences in three Spanish-speaking countries. Methods: 921 university students from Spain, Argentina and Uruguay participated in the study. The USEI, which consists of 15 statements grouped into three dimensions of engagement -behavioral, cognitive, emotional- was administered. Results: After three translators made the linguistic adaptation of the instrument, nine expert judges analyzed the content of the items, retaining as a result the totality of the items. Subsequently, the internal structure of the instrument was analyzed and verified -confirmatory factor analysis, cross-validation, factorial invariance, internal consistency-. Adequate evidence of concurrent external validity between USEI dimensions and learning approaches was also obtained. Conclusion: A Spanish version of the USEI was obtained with adequate psychometric properties that can be used in the field of application with the purpose of identifying students' academic engagement and proposing actions aimed at improving their learnings.

The influence of sociodemographic and donation behaviour characteristics on blood donation motivations.

BACKGROUND: The study of donation motivations is essential at blood transfusion centres, because of the impact of these motivations on an individual's decision to donate. The heterogeneity of donor behaviour and the overall lack of consensus on how to assess it (e.g. via terminology, grouping of items in categories) justify this research, which was conducted with the purpose of an integrated analysis of the influence of sociodemographic and donation behaviour characteristics on the prevalence of donation motivations. MATERIALS AND METHODS: Twenty-five types of motivation were assessed, through an online self-administered questionnaire, in a sample of 5,353 active donors in the Canary Islands (Spain). A series of tests focused on the differences in means was performed in order to analyse how the donor profile affects donation motivations. As a preliminary step, the validity and reliability of the proposed motivation scale, holistic and integrative in nature, were demonstrated. RESULTS: Variations in donation motivations do exist. Blood transfusion centres should target their efforts on donors who are over 35 years old, highly educated, with a high income and longer careers as donors, given that these are the least motivated subjects n the donor pool. DISCUSSION: The fact that the prevalence of donation motivations varies according to the donor profile demonstrates the need to identify the most relevant motivations and, furthermore, which population groups are affected by these motivations. Blood transfusion centres should design differentiated marketing actions in order to achieve greater effectiveness and efficiency when using their budgets.

Serum Levels of Glutamate-Pyruvate Transaminase, Glutamate-Oxaloacetate Transaminase and Gamma-Glutamyl Transferase in 1494 Patients with Various Genotypes for the Alpha-1 Antitrypsin Gene.

BACKGROUND: Patients with liver disease associated with alpha-1 antitrypsin deficiency (AATD) are homozygous for the Z mutation, leading to chronic liver damage. OBJECTIVE: To assess the serum levels of glutamate-oxaloacetate transaminase (GOT), glutamate-pyruvate transaminase (GPT), and gamma-glutamyl transpeptidase (GGT) in patients with different genotypes for the alpha-1 antitrypsin (AAT) gene. METHODS: Patients (n = 1494) underwent genotyping of the SERPINA1 gene, together with a determination of AAT and GOT and GPT and GGT transaminase levels. Patients with a deficient allele (n = 476) and with a normal genotype were compared. RESULTS: A statistically significant association was found between deficient genotypes and GOT (p < 0.0003), GPT (p < 0.002), and GGT (p < 0.006). Comparing GOT levels in patients with PI*Z deficient variant versus those with normal genotype, an odds ratio (OR) of 2.72 (CI: 1.5-4.87) (p < 0.0005) was obtained. This finding was replicated with the PI*Z allele and the GPT values (OR = 2.31; CI: 1.45-3.67; p < 0.0003). In addition, a statistically significant association was found between liver enzymes and AAT values. CONCLUSION: The PI*Z allele seemed to be a risk factor for the development of liver damage. AAT deficient genotypes were associated with GOT, GPT, and GGT altered values. Low AAT levels were associated with high GPT and GGT levels.

Progress and Prospective of Nitrogen-Based Alternative Fuels.

Alternative fuels are essential to enable the transition to a sustainable and environmentally friendly energy supply. Synthetic fuels derived from renewable energies can act as energy storage media, thus mitigating the effects of fossil fuels on environment and health. Their economic viability, environmental impact, and compatibility with current infrastructure and technologies are fuel and power source specific. Nitrogen-based fuels pose one possible synthetic fuel pathway. In this review, we discuss the progress and current research on utilization of nitrogen-based fuels in power applications, covering the complete fuel cycle. We cover the production, distribution, and storage of nitrogen-based fuels. We assess much of the existing literature on the reactions involved in the ammonia to nitrogen atom pathway in nitrogen-based fuel combustion. Furthermore, we discuss nitrogen-based fuel applications ranging from combustion engines to gas turbines, as well as their exploitation by suggested end-uses. Thereby, we evaluate the potential opportunities and challenges of expanding the role of nitrogen-based molecules in the energy sector, outlining their use as energy carriers in relevant fields.

Applying artificial intelligence to explore sexual cyberbullying behaviour.

Sexual cyberbullying is becoming a serious problem in today's society. In the workplace, this issue is more complex because of the power imbalance between potential perpetrators and victims. Preventing sexual cyberbullying in organizations is very important for a safety and respectful workplace. Occupational Safety and Health (OSH) standards establish certain policies to be considered to create an organizational culture based on zero tolerance to sexual cyberbullying. The research aims to broaden knowledge about personality and sexual cyberbullying. Therefore, this paper proposes a crucial tool to explore potential sexual cyberbullying behaviour. This study analysed how personality traits, particularly those related to the Dark Triad (psychopathy, Machiavellianism and narcissism), might influence this behaviour. Participants (N = 374) were Spanish young adults, using the convenience sampling to recruit them. The methodology focused on the use of structural equation modelling and ensemble classification tree. First, we tested the proposed hypotheses with structural equation method based on covariance using the Lavaan R-package. Second, for the ensemble of classification trees, we applied the package randomForest and Adabag (bagging and boosting) in R. Results proposed high levels of psychopathy and Machiavellianism are more likely to be related to sexual cyberbullying behaviours. Organizations could use the tool proposed in this research to develop internal policies and procedures for detection and deterrence of potential cyberbullying behaviours. By raising awareness about cyberbullying behaviour including its conceptualisation and measurement in training courses, organizations might build an organizational culture based on a respectful workplace without sexual cyberbullying behaviours.

Optimización de la predicción de problemas financieros en empresas sanitarias privadas españolas aplicando algoritmos genéticos / Optimization of the prediction of financial problems in Spanish private health companies using genetic algorithms

Objetivo: Presentar una metodología para optimizar, a través de la Z'-Score de Altman para empresas privadas, la predicción de entrada en situación de concurso de acreedores (bancarrota) en empresas privadas del sector sanitario español. Método: El método propuesto consiste en la aplicación de los algoritmos genéticos (AG) para encontrar los coeficientes de la fórmula de la cadena de ratios propuestos por Altman en su versión para empresas privadas que optimicen la predicción en empresas privadas sanitarias españolas, maximizando la sensibilidad y la especificidad, y con ello reduciendo los errores de tipo I y tipo II. Con este propósito se ha utilizado una muestra de 5903 empresas del sector sanitario privado español obtenidas de las bases de datos de Sistema de Análisis de Balances Ibéricos (SABI) entre los años 2007 y 2015. Resultados: El modelo predictivo obtenido con los AG presenta mayor exactitud, sensibilidad y especificidad que el propuesto por Altman para empresas privadas, tanto con los datos de test como con todos los datos de la muestra. Conclusiones: El hallazgo más importante del presente estudio es establecer una metodología que logra identificar unos coeficientes optimizados para la Z de Altman, lo cual permite realizar una predicción más precisa de la bancarrota en las empresas sanitarias privadas españolas

Objective: This paper presents a methodology to optimize, using Altman's Z-Score for private companies, the prediction of private companies of the Spanish health sector entering a situation of bankruptcy. Method: The proposed method consists of the application of genetic algorithms (GA) to find the coefficients of the formula of the chain of ratios proposed by Altman in the version of the score for private companies which optimize the prediction for Spanish private health companies, maximizing sensitivity and specificity, and thereby reducing type I and type II errors. For this purpose, a sample of 5,903 companies from the Spanish private health sector obtained from the database of the Iberian Balance Analysis System (SABI) between 2007 and 2015 was used. Results: The results show that the predictive model obtained with the AG presents greater accuracy, sensitivity and specificity than that proposed by Altman for private companies with both test data and all sample data. Conclusions: The most important finding of this study was to establish a methodology that can identify the optimized coefficients for the Altman Z-Score, which allows a more accurate prediction of bankruptcy in Spanish private healthcare companies

Astrotourism and Night Sky Brightness Forecast: First Probabilistic Model Approach.

Celestial tourism, also known as astrotourism, astronomical tourism or, less frequently, star tourism, refers to people's interest in visiting places where celestial phenomena can be clearly observed. Stars, skygazing, meteor showers or comets, among other phenomena, arouse people's interest, however, good night sky conditions are required to observe such phenomena. From an environmental point of view, several organisations have surfaced in defence of the protection of dark night skies against light pollution, while from an economic point of view; the idea also opens new possibilities for development in associated areas. The quality of dark skies for celestial tourism can be measured by night sky brightness (NSB), which is used to quantify the visual perception of the sky, including several light sources at a specific point on earth. The aim of this research is to model the nocturnal sky brightness by training and testing a probabilistic model using real NSB data. ARIMA and artificial neural network models have been applied to open NSB data provided by the Globe at Night international programme, with the results of this first model approach being promising and opening up new possibilities for astrotourism. To the best of the authors' knowledge, probabilistic models have not been applied to NSB forecasting.

[Optimization of the prediction of financial problems in Spanish private health companies using genetic algorithms]. / Optimización de la predicción de problemas financieros en empresas sanitarias privadas españolas aplicando algoritmos genéticos.

OBJECTIVE: This paper presents a methodology to optimize, using Altman's Z-Score for private companies, the prediction of private companies of the Spanish health sector entering a situation of bankruptcy. METHOD: The proposed method consists of the application of genetic algorithms (GA) to find the coefficients of the formula of the chain of ratios proposed by Altman in the version of the score for private companies which optimize the prediction for Spanish private health companies, maximizing sensitivity and specificity, and thereby reducing type I and type II errors. For this purpose, a sample of 5,903 companies from the Spanish private health sector obtained from the database of the Iberian Balance Analysis System (SABI) between 2007 and 2015 was used. RESULTS: The results show that the predictive model obtained with the AG presents greater accuracy, sensitivity and specificity than that proposed by Altman for private companies with both test data and all sample data. CONCLUSIONS: The most important finding of this study was to establish a methodology that can identify the optimized coefficients for the Altman Z-Score, which allows a more accurate prediction of bankruptcy in Spanish private healthcare companies.

Groundwater recharge and hydrodynamics of complex volcanic aquifers with a shallow saline lake: Laguna Tuyajto, Andean Cordillera of northern Chile.

Estimating groundwater recharge in arid regions with seasonal snow cover, as in the Andean Altiplano of northern Chile, is important for sustainable development policies and the effective management of scarce resources in a high water demanding zone, as fragile ecosystems depends on a stable water contribution. This research aims to evaluate and quantify rainfall and snowfall contribution to aquifer recharge while assessing the factors that control the hydrodynamics in such areas, based in the knowledge of the better documented Tuyajto Lake in the Tuyajto catchment/basin. The modeling framework involves an energy balance of the snow cover, a soil water balance and a groundwater flow and chloride transport model. The basin average annual recharge is about 23% of average precipitation. Snowmelt contribution to recharge is important at altitudes above 4700 m a.s.l. during September, while rainfall is more important in February and March, during short intense precipitation events. The hydraulic conductivity of ignimbrites and other volcanic formations are the most important hydrogeological parameters controlling lake level and spring flow rates, while albedo and snowpack surface roughness length on the energy balance causes the greatest variation of lake level. Evaporation is the process controlling the variability of the lake level, as aquifer contribution remains relatively constant and springs flow variability is not enough to cause the observed variations, except during November. Possible buried salts deposits on the eastern edges of Pampa Colorada and Tuyajto Lake, together with volcanic HCl contribution, justify the high measured groundwater chloride concentrations. A recharge 2-3 higher than the current one is necessary to justify a lake level 40 m above its modern value during the Last Glacial period, giving insight into past hydrological changes in the basin due to climate variability. The knowledge gained can be applied to other high altitude volcanic basins with seasonal snow cover.

Land surface temperature as an indicator of the unsaturated zone thickness: A remote sensing approach in the Atacama Desert.

Land surface temperature (LST) seems to be related to the temperature of shallow aquifers and the unsaturated zone thickness (∆Zuz). That relationship is valid when the study area fulfils certain characteristics: a) there should be no downward moisture fluxes in an unsaturated zone, b) the soil composition in terms of both, the different horizon materials and their corresponding thermal and hydraulic properties, must be as homogeneous and isotropic as possible, c) flat and regular topography, and d) steady state groundwater temperature with a spatially homogeneous temperature distribution. A night time Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) image and temperature field measurements are used to test the validity of the relationship between LST and ∆Zuz at the Pampa del Tamarugal, which is located in the Atacama Desert (Chile) and meets the above required conditions. The results indicate that there is a relation between the land surface temperature and the unsaturated zone thickness in the study area. Moreover, the field measurements of soil temperature indicate that shallow aquifers dampen both the daily and the seasonal amplitude of the temperature oscillation generated by the local climate conditions. Despite empirically observing the relationship between the LST and ∆Zuz in the study zone, such a relationship cannot be applied to directly estimate ∆Zuz using temperatures from nighttime thermal satellite images. To this end, it is necessary to consider the soil thermal properties, the soil surface roughness and the unseen water and moisture fluxes (e.g., capillarity and evaporation) that typically occur in the subsurface.

Late detection of hazards in traffic: A matter of response bias?

In this study, results from two different hazard perception tests are presented: the first one is a classic hazard-perception test in which participants must respond - while watching real traffic video scenes - by pressing the space bar in a keyboard when they think there is a collision risk between the camera car and the vehicle ahead. In the second task we use fragments of the same scenes but in this case they are adapted to a signal detection task - a 'yes'/'no' task. Here, participants - most of them, University students - must respond, when the fragment of the video scene ends, whether they think the collision risk had started yet or not. While in the first task we have a latency measure (the time necessary for the driver to respond to a hazard), in the second task we obtain two separate measures of sensitivity and criterion. Sensitivity is the driver's ability to discriminate in a proper way the presence vs. absence of the signal (hazard) while the criterion is the response bias a driver sets to consider that there is a hazard or not. His/her criterion could be more conservative - the participant demands many cues to respond that the signal is present, neutral or even liberal - the participant will respond that the signal is present with very few cues. The aim of the study is to find out if our latency measure is associated with a different sensitivity and/or criterion. The results of the present study show that drivers who had greater latencies and drivers who had very low latencies yield a very similar sensitivity mean value. Nevertheless, there was a significant difference between these two groups of drivers in criterion: those drivers who had greater latencies in the first task were also more conservative in the second task. That is, the latter responded less frequently that there was danger in the sequences. We interpret that greater latencies in our first hazard perception test could be due to a stricter or more conservative criterion, rather than a low sensitivity to perceptual information for collision risk. Drivers with a more conservative criterion need more evidences of danger, thus taking longer to respond.

An exploration of anomia as origin of work absence.

BACKGROUND: Although it also portrays a loss of function in psychology, in this context the term anomia (from the Greek, an-: absence, and -nomos: law) is used to describe a sociological phenomenon that can lead individuals to misbehave due to feelings of valuelessness and cynicism resulting from a lack of integration in social life (Srole, 1956). OBJECTIVE: Previous research has neglected anomia as part of the origin of employee work absence. This study tests the association between anomia and absence - operationalized as propensity to abusive absence due to illness. A large variety of job attitudes grouped in terms of organizational climate are controlled for. METHODS: Data were collected from 84 of the 198 (42.4%) employees of a provincial Spanish Social Security Service. Structural equation modeling (SEM) was used to test the associations. RESULTS: With the climate factors controlled for by entering them together with anomia in a SEM model as causes of absence, the results show a significant relationship between anomia and absence. CONCLUSIONS: The findings explain the origin of absence at work and management strategies. The very nature of anomia suggests that strategies can be designed to provide employees with an organizational `micro-cosmos' that promotes support, predictability, and bonds of trust to create an effective bulwark against absenteeism.

Environmental management in small and medium-sized companies: an analysis from the perspective of the theory of planned behavior.

In the business context, concern for the environment began to develop when pressure from the public administration and environmental awareness groups raised the specific requirements for companies. The Theory of Planned Behavior considers that people's conduct is determined by the intention of carrying out a certain behavior. Thus, the individual's intent is determined by three factors related to the desired outcome of the behavior: the Personal Attitude toward the Results, the Perceived Social Norms, and the Perceived Behavioral Control over the action. Therefore, the objectives of this paper are to clarify the attitudes of the managers of Canarian small and medium-sized companies about taking environmental measures, and try to demonstrate whether there is a relationship between the proposed factors and the intention to take these measures.

Crystalline particle packings on constant mean curvature (Delaunay) surfaces.

We investigate the structure of crystalline particle arrays on constant mean curvature (CMC) surfaces of revolution. Such curved crystals have been realized physically by creating charge-stabilized colloidal arrays on liquid capillary bridges. CMC surfaces of revolution, classified by Delaunay in 1841, include the 2-sphere, the cylinder, the vanishing mean curvature catenoid (a minimal surface), and the richer and less investigated unduloid and nodoid. We determine numerically candidate ground-state configurations for 1000 pointlike particles interacting with a pairwise-repulsive 1/r(3) potential, with distance r measured in three-dimensional Euclidean space R(3). We mimic stretching of capillary bridges by determining the equilibrium configurations of particles arrayed on a sequence of Delaunay surfaces obtained by increasing or decreasing the height at constant volume starting from a given initial surface, either a fat cylinder or a square cylinder. In this case, the stretching process takes one through a complicated sequence of Delaunay surfaces, each with different geometrical parameters, including the aspect ratio, mean curvature, and maximal Gaussian curvature. Unduloids, catenoids, and nodoids all appear in this process. Defect motifs in the ground state evolve from dislocations at the boundary to dislocations in the interior to pleats and scars in the interior and then isolated sevenfold disclinations in the interior as the capillary bridge narrows at the waist (equator) and the maximal (negative) Gaussian curvature grows. We also check theoretical predictions that the isolated disclinations are present in the ground state when the surface contains a geodesic disk with integrated Gaussian curvature exceeding -π/3. Finally, we explore minimal energy configurations on sets of slices of a given Delaunay surface, and we obtain configurations and defect motifs consistent with those seen in stretching.

Evolución de la calidad y difusión de una revista científica española de Psicología: Anales de Psicología, 25 volúmenes anuales publicados (1984-2009) / Evolution of the quality and dissemination of a Spanish scientific journal of Psychology: Anales de Psicología, 25 volumes published per year (1984-2009)

La celebración de los 25 volúmenes anuales de Anales de Psicología en 2009 sirve de pretexto para repasar la historia de esta revista y su evolución en lo referente a objetivos y política editorial, organigrama, formato y presentación, selección de contenidos, difusión e impacto. Todo ello en el contexto de las revistas científicas de psicología en España y la tendencia creciente por parte de directores y equipos de redacción de revistas, centros e instituciones de documentación y agencias de evaluación de la investigación estatales y autonómicas, de mejorar los criterios para evaluar la calidad de las revistas y acercarlas cada vez más a estándares internacionales. Anales de Psicología se encuentra en ese camino, tal y como se demuestra en todos los datos de calidad editorial que se analizan en este trabajo(AU)

The celebration of the 25 annual volumes of the Anales de Psicología journal in 2009 serves as a pretext to review the history of this journal and its evolution in terms of: aims and editorial policy, organizational structure, format and layout, content selection, dissemination and impact. All this in the context of scientific journals of psychology in Spain and the growing trend by journal editors and advisory boards, documentation centers, and institutions and agencies (national and regional) for research assessment, to improve the criteria for evaluating the quality of journals and increasingly closer to international standards. Anales de Psicología journal is in that way, as demonstrated in all of publishing quality data analyzed in this work (AU)