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The primary objectives of this research study are to provide a detailed description of machine learning (ML) technology when applied to assessing innovation and to design a model that allows predicting an institution’s degree of innovation. Machine learning technology lacks assumptions or preconceptions and is capable of processing a large amount of data and variables. After data processing, the ML model is built using variables associated with educational context, training is performed, and a web is built to predict the degree of innovation of an educational institution. This model provides an innovation accuracy prediction of 66% and allows assessing the influence of the variables analyzed when predicting the use of active methodologies at a given institution. In conclusion, this approach can open new data analysis techniques supported by ML that complement traditional statistically based approaches. [ABSTRACT FROM AUTHOR]

The objective of the research that gave rise to this article was to establish an objective measurement mechanism for the prediction of methane yield in the anaerobic digestion of coffee wastewater. From a quantitative approach, the Roediger model, solution method, error analysis, optimization criteria and comparison between experimental and predicted values are used, arriving at the following conclusions: The adjustment methods applied in the present investigation generate similar results. each other, which are related to the experimental performances of the anaerobic digestion of coffee wastewater. It can be seen graphically that the isotherms follow the same trend and it can be corroborated through the analysis of variance (ANOVA) that the significance between the average of the statisticians used to evaluate the prediction of the Roediger model is relatively high. Therefore, the Roediger model constitutes a mathematical tool that can predict the methane yield of coffee wastewater in a statistically significant range, under the experimental conditions and requirements detailed in this work. Through the ANOVA analysis of variance, it was shown that the variables that make up the Roediger model, such as the maximum methane yield and kinetic constant, do not have a statistically significant relationship, since the probability value is greater than 0.05. The present study contributes to the scientific community and establishes a basis to carry out studies that evaluate other mathematical models with variables that characterize the development, inhibition and productivity of this biochemical process. [ABSTRACT FROM AUTHOR]

Copyright of Revista Iberoamericana de Ingeniería Mecánica is the property of Editorial UNED 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.)

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 Revista de Investigaciones Políticas y Sociológicas (RIPS) is the property of Universidad de Santiago de Compostela, Servicio de Publicaciones 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 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.)

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Copyright of Investigación Administrativa is the property of ESCA Santo Tomas - IPN 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 Latin American Journal of Economic Developement (LAJED) is the property of Universidad Catolica Boliviana San Pablo 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]

Copyright of Acta Comportamentalia is the property of Instituto de Psicologia y Educacion de la Universidad Veracruzana 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 Dilemas Contemporáneos: Educación, Política y Valores is the property of Dilemas Contemporaneos: Educacion, Politica y Valores 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 Investigación en Salud VIVE is the property of Revista de Investigacion en Salud VIVE 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 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]

The objective of the research is based on presenting the results of a prediction model of homicides from logistic regression in the metropolitan district of Quito - Ecuador. The research approach was quantitative with a descriptive scope. Step 7 indicates a Wald value of 9.284 and significance of 0.002 for the variable place where the homicide was committed (1), indicating 1 for the alternative "public road", with a value for Exp(B) of 0.08, so the model predicts that people have a probability of 0.08 of suffering a homicide on a public road compared to another place where they are. The model predicts that the public road is the place where there is the highest probability of homicide, equally for people of all ages, genders, nationalities. [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 Tesla Revista Científica is the property of Puerto Madero Editorial Academica 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]

Why would an individual yield to exogenous incentives and vote against their intrinsic preferences? I aim at answering this question by presenting a game that models the choices of voters who believe that they might receive an incentive associated with their behavior. This game considers the size of the incentive offered, the voter's choice as a strategic best-response to other voters' behavior, and the competitiveness of the election. I find equilibria that show that yielding to exogenous incentives is a best strategy under not very stringent conditions. Finally, I illustrate the predictions from the model using three cases where it has been observed that material or immaterial incentives affected --or still affect-- the behavior of voters: vote-buying and voter coercion during the United States Gilded Age, the electoral behavior of African-Americans, and religious voting. [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 DYNA - Ingeniería e Industria is the property of Publicaciones Dyna 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.)

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 Dilemas Contemporáneos: Educación, Política y Valores is the property of Dilemas Contemporaneos: Educacion, Politica y Valores 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.)

This research study evaluated the use of accelerometers to determine grass dry matter intake (DMIg) in dairy cows. Knowing dry matter intake is essential to balance rations. Data from fifteen Holstein cows fitted with an accelerometer in the atlanto-occipital region were used to build and validate a predictive model. An artificial neural network (ANN) was constructed to predict DMIg based on the angular position of the head. Validation of ANN predictions was determined using statistical criteria. The results showed that ANN's intake time estimate was 480.4±73 minutes/day. The DMIg observed and predicted by ANN was 13.1±1.8 and 13.8±2.1 kg/day, respectively. In conclusion, the residual distance between the observed and predicted values showed that by using accelerometers it was possible to predict the DMIg with a high degree of accuracy. [ABSTRACT FROM AUTHOR]