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Studies about attachment between babies and mothers have been the object of medical and social sciences, from genetic to cultural studies. As part of the huge diversity of research on this topic, the predictive explanation of how and if maternal behaviors could explain the quality and styles of attachment in infants, has been a current problematic question of study. This study analyzes if a specific model of maternal behaviors could predict the quality and style of attachment during early infancy, controlling maternal and infant mental health, through a microanalytic observational methodology. Hundred three dyads were assessed using the experimental procedures of strange situation and AMBIANCE. Multinomial regressions models were used to test the statistic model proposed. The results indicate that maternal behavior related to communication errors could predict both the quality and type of attachment of the infant, controlling the mental health of the mother and child since in 71.5% of cases, communication errors would explain the variance of developed infant attachment (Nagelkerke's r2 = 0.715); p < 0.001). This model may be a promising avenue for developing preventive programs in children's mental health. The present study is the first carried out in Latin-America under this type of microanalytical methodology. [ABSTRACT FROM AUTHOR]

Mathematical models for the prediction of communicable diseases preventable by vaccination helps to evaluate the impact of implemented or future vaccination programmes. So far, there has been little culture of modelling in this area, the results of which will serve to make adjustments in the planning and monitoring of these programs. The COVID-19 pandemic has provided a boost to the development of mathematical vaccination models, due to the collaboration between modelers and Public Health professionals contributing to the adjustment of the COVID-19 Vaccination Strategy in Spain. It is necessary to consolidate and continue promoting this research capacity, bring mathematical models closer to professionals and quickly incorporate the use of these tools into decision-making. [ABSTRACT FROM AUTHOR]

Copyright of Ciencias Psicológicas is the property of Universidad Catolica del Uruguay Damaso Antonio Larranaga and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ciencias Psicológicas is the property of Universidad Catolica del Uruguay Damaso Antonio Larranaga and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hospital a Domicilio is the property of Centro Internacional Virtual de Investigacion en Nutricion and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista CEA is the property of Revista CEA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction: epidemiological risk factors for coronary artery disease are closely related to the existence, evolution and complications of the disease. Objective: to design mathematical models predictive of coronary artery disease diagnosed by calcium score from epidemiological variables. Methods: a cross-sectional analytical study was carried out. The population consisted of 820 patients with chest pain and calcium score, the sample (246) was selected by simple random probability sampling. Logistic regression was employed from a logistic regression model (using the forward stepwise option) for each of the four coronary vessels, each model was fitted to the variables and those with coefficients significantly different from zero (p<0.05) were identified using the Wald statistic. We estimated the point Odd Ration and confidence intervals, performed internal validation and explored the performance through model discrimination with the analysis of the area under the curve and calibration through the Hosmer-Lemeshow Chi-square statistic. Results: the predominant age group was older than 60 years (61.4%), male sex (65.9%) and arterial hypertension (68.7%). The mathematical models for each coronary vessel exclude the variable age. The following are important predictors: diabetes and smoking. The internal validation technique supports the good performance of the mathematical models obtained. Conclusion: the result reinforces the need for predictive studies to ensure cardiovascular risk stratification by calcium score and epidemiological variables on which effective action should be taken to improve patient prognosis. [ABSTRACT FROM AUTHOR]

The study aims to evaluate the direct and indirect effects of academic motivation and emotional intelligence on academic engagement. It is a quantitative and predictive research composed of 416 Peruvian students through structural equation analysis (SEM), who answered three instruments to evaluate the variables. The results refer significant effects of emotional intelligence and motivation on school engagement, simultaneously emotional intelligence predicted motivation with optimal SEM goodness-of- fit indices. Additionally, a multigroup SEM analysis was performed to determine the structural invariance of the predictive model as a function of sex and age. We conclude the mediating role of academic motivation between emotional intelligence and academic engagement, which is important for better academic performance and achievement. The mediating model was equivalent between females and males, as well as between younger and older adolescents. [ABSTRACT FROM AUTHOR]

Copyright of Revista ION is the property of Universidad Industrial de Santander and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Models of potential species distribution are a tool to visualize the range of suitable habitats where species could occur. The objective was to carry out a review of the distribution of four endemic bird species in a threatened situation, their niches and to design a potential predictive model of the distribution of species in the La Libertad region. The points of presence of Aglaeactis aliciae, Aulacorhynchus huallagae, Scytalopus unicolor y Asthenes dorbignyi huancavelicae, were obtained from the GBIF and eBird database, and the climatic predictors from WorldClim. The potential niche modeling of species and geographic distributions was carried out using maximum entropy algorithms (MaxEnt), in the Wallace platform (V1.0.6.3), around the RStudio program and map design with the QGIS program. The AUC values obtained for the species were A. aliciae 0.915, A. huallagae 0.804, S. unicolor 0.824 and A. dorbignyi huancavalicae 0.904. If the AUC values are = 0.75, they indicate a good performance of the model to discriminate the areas with and without the presence of the species. [ABSTRACT FROM AUTHOR]

In LEDs reliability prediction, not considering the color shift could generate undesired results; however, in the literature it is not frequent to find methods that consider this failure mode; and a great part of the existing methods do not integrate in the analysis the factors of temperature and current jointly. In this work, a new method was developed to predict the LEDs reliability based on the color shift, which takes into account the temperature and current. With the developed method, more reliability indicators, such as reliability function, risk function and mean time to failure (MTTF), can be predicted in comparison with the IES TM-21- 11 and IES TM-35-19 methods. In addition, the models of several reliability indicators of a sample of NF2L757DR LEDs from NICHIA CORPORATION are presented. The obtained graphs show that with increasing temperature and/or current, reliability decreases. [ABSTRACT FROM AUTHOR]

Copyright of Tecnología y Ciencias del Agua is the property of Instituto Mexicano de Tecnologia del Agua (IMTA) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Psychology (UNLP) / Revista de Psicología (UNLP) is the property of Facultad de Psicologia Universidad Nacional de La Plata and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Agriscientia is the property of Revista AgriScientia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista de Ciencias Médicas de Pinar del Río is the property of Editorial Ciencias Medicas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

High rates of dropout from university are a worldwide concern. In an attempt to address this phenomenon, this study presents a predictive model for the level of adaptability of high school students intending to pursue a university education. The objective is to show the relationships existing between the three exogenous variables (study skills, information about the university, and self-efficacy expectations) and the endogenous variable (adaptability) included in the model. The study involved a sample of 290 high school students who had expressed their intention to pursue a university education. The results show a substantial and consistent relationship between the variables of the model, helping to predict the levels of academic adaptability of high school students planning to attend university. This is of interest in designing guidance for pre-university stages of education. [ABSTRACT FROM AUTHOR]

Objective. To compare of two mathematical models for the prediction of the concentration of digestible energy (DE) in ingredients used in the feeding of ruminants is presented. Materials and Methods. Both approaches differ on the data used for the estimation via wet chemistry for the content of the Total Digestible Nutrients (TDN). Once this value is generated by either method, both approaches followed a similar step to arrive at a DE estimate. The used of a Paires T-Test was used to compare the difference for each pair of values. Results. A difference of 0.664 Mcal/kg of DM (P<0.001) of DE was detected for the FDA approach. Simplicity in generating a value for FDA in comparison to the summatory of the TDN components such as the relative theoretical values of nutrient digestibility's for crude protein, crude lipids x 2.25, crude fiber and free nitrogen extract by difference, is an approach bound to a greater source of human errors in its determination due to a direct relationship of the greater the number of elements the greater the opportunity for errors. Conclusion. The FDA-based model has less variability detected in the ED values generated. [ABSTRACT FROM AUTHOR]

Many studies have shown the need in the Venezuelan oil industry to implement viable alternatives in the field of pipeline integrity management. Thus, the aim of this work is to propose a prediction model for the external corrosion rate of burned transmission pipelines in a crude oil production field with clay soils, Incated in the west of Zuha State in Venezuela. After the collection, revision and classification of soil and operating parameter data in the field, a definition of input and output variables was carried out, used to generate 2 models, one regression type and the other classification type. For the neural network model, a low regression fit (R) of 6.62% and an RMSE of 2.13 were obtained, indicators of low model efficiency due to the restrictions of the data provided and sample stre. On the contrary, for the decision tree classification model, un accuracy of 98 141% was obtained, when classifying the corusion rate in seventy ranges. This clasification tree model will serve as a starting point for subsequent research to dleve deeper into the area. [ABSTRACT FROM AUTHOR]

Suicide prevention is a global imperative; however, the dissemination of universal, selective and indicated measures is not enough without evidence of their effectiveness. This review aims to show public health strategies for suicide prevention, others that have already shown to be useful, and some multicomponent programs that have given positive results in this regard. The study of suicide is relevant, but it is not possible to establish a single predictive model. Accordingly, public health strategies must be implemented based on the cultural, demographic, social and economic characteristics of the environment. Suicide prevention policies around the world contemplate various measures, but the implementation of those that are most effective in each context is required. In addition, the social actors must recognize and promote the recommendations on the subject for the effectiveness of prevention. [ABSTRACT FROM AUTHOR]

Copyright of Geopolitica(s): Revista de Estudios Sobre Espacio y Poder is the property of Universidad Complutense de Madrid and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Estudios Politicos (01215167) is the property of Universidad de Antioquia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Investigación e Innovación en Ingenierías is the property of Universidad Simon Bolivar and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista del Museo de Antropología is the property of Museo de Antropologia - IDACOR and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Forced Migration Review (FMR) is a publication that brings together various authors with experience in forced migration to promote learning and debate on the subject. The magazine is available for free in English, Arabic, French, and Spanish, both online and in print format. In this issue, the topic of digital technologies and their impact on forcibly displaced people is addressed. Various technologies are discussed, from advanced predictive modeling to the use of artificial intelligence, and their positive and negative effects on displaced populations are analyzed. The opportunities and dangers that digital technologies present for these individuals are also highlighted. [Extracted from the article]

Background: According to World Health Organization (WHO), cardiovascular diseases (CVDs) are the leading cause of death globally. Although significant progress has been made in the diagnosis of CVDs, more investigation can be helpful. Therefore, this study aimed to predict the risk of myocardial infarction (MI) using data mining algorithms. Methods: The applied data were related to the admitted patients in Rajaei specialized cardiovascular hospital located in Tehran. At first, a literature review and interview with a cardiologist were conducted to understand MI. Then, data preparation (cleaning and normalizing the data) was performed. After all, different classification algorithms were applied in IBM SPSS Modeler (14.2) software on the prepared data; and, power of the applied algorithms and the importance of the risk factors in predicting the probability of getting involved with MI was calculated in the mentioned software. Results: This study was able to predict MI % 75.28 and 77.77% in terms of accuracy and sensitivity, respectively. The results also revealed that cigarette consumption, addiction, blood pressure, and cholesterol were the most important risk factors in predicting the probability of getting involved with MI, respectively. Conclusions: Predicting studies aim to support rather than replace clinical judgment. Our prediction models are not sufficiently accurate to supplant decision-making by physicians but have considerable tips about MI risk factors. [ABSTRACT FROM AUTHOR]

Copyright of Gerokomos is the property of Indemm Farma SL and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction: The early diagnosis of the type II diabetes mellitus allows the health staff to implement strategies in order to avoid the chronic complications that could be derived. To such effects, in the last two decades predictive models have been developed that include more variables every day. Objective: To elaborate a predictive model for the early diagnosis of type II diabetes mellitus in a population from Holguín. Methods: A cohort study was carried out that included all the patients assisted in the endocrinology services of Pedro Díaz Coello health area and Fermín Valdés Domínguez Military Hospital in Holguín province, for which 2 cohorts were taken: one of analysis and another of validation. For the statistical processing the univaried and multivaried analysis were carried out; as long as the association between dependent and independent variables was determined. Results: In the series there was a prevalence of the female sex, patients without history of diabetes mellitus and hypertension, as well as those that presented hypothyroidism, periodontal disease and normal weight, among others; also, the pattern was statistically significant (X2=31.1 and p=0.000) and explained 80.9 % of the logout variable validated by the analysis variables. The sensibility was of 96.9 % and the specificity of 86.6 %; while the area under the curve had a range from 0.725 to 0.833. Conclusions: The predictive model elaborated is a very useful tool for the diagnosis of patients with risk of type II diabetes mellitus. [ABSTRACT FROM AUTHOR]

Copyright of Ensayos - Revista de Economía is the property of Ensayos Revista de Economia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista de Ciencias Médicas de Pinar del Río is the property of Editorial Ciencias Medicas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective: To explore the diagnostic utility of 31 electrocardiogram (ECG) criteria for detecting echocardiographic (Echo) left ventricular geometry using accuracy. Methods: This cross-sectional study included consecutive adults (> 18 years) that were classified by Echo left ventricular geometry as normal (NL), concentric remodeling (CR), concentric hypertrophy (CH), and eccentric hypertrophy (EH). Thirty-one state-of-the-art ECG criteria for Echo left ventricular hypertrophy were calculated. AUC 95%CI, accuracy, sensitivity, specificity, and positive and negative predictive value for detecting Echo left ventricular geometries were compared. Multivariable linear regression models were produced using the ECG criteria as the dependent variable. Results: A total of 672 adults were included in the study. From 31 ECG criteria, Cornell (ECG21, SV3 + RaVL) and modified Cornell (ECG 31, RaVL + deepest S in all leads) criteria have the best overall AUC in differentiating NL versus CH (0.666 and 0.646), NL versus EH (0.686 and 0.656), CR versus CH (0.687 and 0.661), and CR versus EH (0.718 and 0.676). In multivariable linear regression models, CH and EH had the strongest effect on the final voltage in Cornell (ECG21) and modified Cornell (ECG31). Conclusions: From 31 state-of-the-art criteria, Cornell and modified Cornell criteria have the best AUC and accuracy for predicting most left ventricular geometries. CH and EH had the strongest effect on the voltage of Cornell and modified Cornell criteria compared to body mass index, age, diabetes, hypertension, and chronic heart disease. The ECG criteria poorly differentiate NL from CR and CH from EH. [ABSTRACT FROM AUTHOR]

Copyright of Cuadernos de Administración is the property of Universidad del Valle and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This work presents applications of the Backward Seismic Analysis (BSA) method for steel storage tanks using a data base of more than 382 steel storage tanks in operation during large subductive earthquakes: Valdivia 1960, Central Chile 1985, Tocopilla 2007, El Maule 2010, Alaska 1964, and others in the United States between 1933 and 1995 (subductive and cortical). It has been recorded that most of the steel storage tanks without anchor systems have failed during large earthquakes. These have been designed with the standards API 650-E, AWWA-D100, and NZSEE, which propose similar procedures for estimating seismic forces, but with different design methods. During different conferences, the causes of the failures were evaluated, concluding that the tanks were designed mainly with the API 650-E code and were unanchored. Moreover, the design codes employed do not consider relevant aspects that condition the seismic response of steel storage tanks. This work develops a prediction model based on the historical information already described, which is capable of efficiently predicting if a steel storage tank will suffer any failures during an earthquake. Various algorithms were evaluated, finding that the Random Forest method exhibits the best results. The results obtained in the prediction of steel storage tank failures reach more than 90% efficiency in most of the evaluated scenarios. [ABSTRACT FROM AUTHOR]

Copyright of URVIO - Revista Latinoamericana de Seguridad Ciudadana is the property of FLACSO - Ecuador (Facultad Latinoamericana de Ciencias Sociales) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of CES Medicina is the property of Universidad CES and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ingeniería (0121-750X) is the property of Ingenieria and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Caderno de Administração is the property of Universidade Estadual de Maringa and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Técnica Energía is the property of Centro Nacional de Control de Energia CENACE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper, we perform an analysis about the effect of the perception of corruption in the activity of the credit insurance or CDS market in Spain during the period between 2008 and 2018. To measure the perception of corruption, we use Google Trends tool for the keyword “corrupcion”. On the other hand, to proxy the activity of the CDS market, we use the evolution of the 5-year CDSs. Subsequently, an empirical analysis is carried out through regression methodology and out-of-sample analysis to verify the predictive capacity of the model. The results show that perceived corruption impacts the evolution of CDSs, and its influence is greater in the years in which the country's economy does not face a crisis. [ABSTRACT FROM AUTHOR]

Innovation financing has been characterized as a fragmented field where multiple theories coexist, each focusing on one or a few aspects of financing at the same time. This article aims to identify the most influential financial variables and their effect on the intensification of innovation activities of Colombian SMEs, in a single comprehensive empirical model that predicts the intensity of innovation from more than forty subvariables associated with the financing of innovation. The prediction model (which achieved an out-of-sample determination coefficient of 0.5 or 0.6), according to the definition used, is based on a set of neural networks optimized using Bayesian techniques. The results of this work suggest, as a conclusion, that for SMEs to decide to intensify their innovation activities, variables capable of limiting innovation predominate, such as the adjustment costs and some obstacles to innovating, but especially variables focused on risk, such as the risk of bankruptcy of the company or of the innovation project and the risk aversion of the CEO. [ABSTRACT FROM AUTHOR]

Copyright of Tecnología y Ciencias del Agua is the property of Instituto Mexicano de Tecnologia del Agua (IMTA) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Avances en Ciencias e Ingeniería is the property of Avances en Ciencias e Ingenieria and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Given the exceptional circumstances of the COVID-19 pandemic and the problems faced in conducting mass student examinations, this article explores alternatives to an in-person exam to select candidates hoping to gain admission to higher education institutions, based on available information about students and their schools. Census-based information on entrance evaluations for six annual cohorts is used to obtain a predictive model that incorporates candidates' average grades and the historical performance of their schools of origin, measured through EXANI II. The results allow us to identify a model able to correlate to .69 the estimated and actual scores; additional scenarios were proposed with greater levels of prediction (r = .86). A discussion is offered on the implications of using high school grades, in light of their power to predict academic performance in higher education. [ABSTRACT FROM AUTHOR]

A predictive model of the intention to graduate with a thesis, based on academic and cognitive-affective factors, is examined in a sample of 198 students from the first to the fifth year of psychology. The structural model tested by Path Analysis presented an adequate adjustment (CFI >.95 and RMSEA <.08), observing that engagement and attitude towards statistics indirectly regulate the intentionality of a thesis, while self-efficacy and methodological competencies have direct effects on intentionality. When there are adequate methodological competencies, the prognosis for doing a thesis is 82.6%, while a favorable attitude towards statistics forecasts 80.6% of the interest of graduating with a thesis. [ABSTRACT FROM AUTHOR]

Copyright of Tecnología y Ciencias del Agua is the property of Instituto Mexicano de Tecnologia del Agua (IMTA) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Anales de Geografía de la Universidad Complutense is the property of Universidad Complutense de Madrid and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Texto Livre / Texto Livre: Linguagem e Tecnologia is the property of Revista Texto Livre: Linguagem e Tecnologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Zephyrus is the property of Ediciones Universidad de Salamanca and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A study concerning learning analytics is presented. This area consists of the collection and analysis of data generated by students and their iterations with the purpose of understanding and optimizing learning. By using databases, a referential review of the last five years is proposed to identify aspects related to the growth of this approach and its fields of application in higher education. The volume of related research is increasing due to the need to investigate more accurate predictive models and new algorithms in the field of data science. [ABSTRACT FROM AUTHOR]

Copyright of Tecnología y Ciencias del Agua is the property of Instituto Mexicano de Tecnologia del Agua (IMTA) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper, we elaborate a theoretical model to explain how generating firms choose their aggregate position in bilateral contracts in the Colombian electricity market. Subsequently, we propose an empirical strategy to contrast the theoretical predictions of the model with data from the wholesale market. Our results show that there is evidence in favor of the hypotheses of our model. Firms tend to adjust their contracts according to the ideal generation they expect the market operator to allocate them, and the difference between marginal costs and contract prices. [ABSTRACT FROM AUTHOR]