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Copyright of Comunicaciones en Estadística is the property of Universidad Santo Tomas 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.)

Para algunos analistas críticos recientes interesados en rehabilitar la categoría de resentimiento, la trampa que invoca la necesidad de un “regreso social” estriba en entender simplificadamente que cierta hipertrofia “culturalista” de las políticas de la identidad erosionó las bases de la clase trabajadora. Un análisis crítico del resentimiento muestra cómo este discurso falsamente “materialista” del “regreso social” ha tenido como objetivo, sobre todo, desagregar y escindir un posible bloque emancipatorio social y cultural desde los marcos de la batalla ideológica. Bajo esta perspectiva, este supuesto “regreso” sirve de coartada ideológica y hegemónica en la estrategia conservadora para separar y autonomizar las luchas. En esta contribución se intenta matizar y cuestionar este diagnóstico con la ayuda del ensayo de Didier Eribon: Regreso a Reims (2009).

The current study attempts to address the relationship between material waste and change orders in residential building projects implemented in the West Bank in Palestine. The main objectives include: (1) identify the main factors affecting change orders in residential projects, (2) identify the main factors affecting martial waste eon construction sites, (3) address the relationship between change orders and construction material waste, (4) develop prediction model that shows the impact of change orders on material waste. To achieve this, two methods are used: (1) questionnaire survey is conducted to identify the main factors affecting change orders and the major factors of material waste on construction sites. Fourteen (14) factors believed to affect change orders and 15 factors that might affect material waste are investigated in this study. (2) Case study is conducted to address the impact of change orders on material waste. Data collected from 40 residential building projects implemented in the West Bank in Palestine. Regression analysis is used to establish the predictive model that relates the change orders and material waste. Results indicate that the top five factors affecting change orders include: change of project scope by owner, shortage in equipment and materials, change in materials, design mistakes, and change of plans by owner. It also shows that the top five factors affecting material waste are: rework, lack of labors skills, design errors, purchasing materials not complying with specifications, and frequent design changes. The results revealed a strong relationship between number of change orders and construction material waste on site. [ABSTRACT FROM AUTHOR]

Currently, overweight and obesity have become public health problems worldwide, since they are conditions that cause the population to develop other diseases such as Diabetes mellitus and arterial hypertension. This research was carried out with the purpose of identifying the relationship between obesity and overweight, with arterial hypertension and demonstrating the degree of correlation between both variables, as well as its intensity. Simple linear regression analysis was performed to confirm this relationship and predict the behavior of the dependent variable. These results allowed us to propose strategies to prevent chronic diseases in employees. Materials and methods: A descriptive observational study with a correlational scope was carried out at the Universidad Salvadoreña Alberto Masferrer. The population consisted of 240 employees; the sample was made up of 146, calculated in Open Epi at a 95% confidence interval. The participants were selected by applying non-probabilistic sampling by quotas. A questionnaire, taking anthropometric measurements and taking blood pressure were used as a data collection instrument. For data analysis, descriptive statistics were used such as frequencies, percentages, mode and arithmetic mean, normality tests and inferential statistics, obtaining that, for Spearman’s correlation, the value of R=0.063 with p=0.780 > 0.05, therefore, there is a positive correlation between the variables of overweight, obesity and arterial hypertension. [ABSTRACT FROM AUTHOR]

Copyright of Revista de Ingenieria, Matematicas y Ciencias de la Informacion is the property of Corporacion Universitaria Republicana 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.)

El objetivo fue evaluar modelos predictivos de la producción metano de los frutos Leucaena collinsii y Guazuma ulmifolia medido a través de la técnica de producción de gas in vitro (TPG) y cromatografía de gases. A los frutos se realizó un análisis químico, parámetros de fermentación in vitro, y se estimó metano por cromatografía de gases y por la TPG. Se realizó un análisis de varianza considerando los efectos fijos de la técnica de medición y el tipo de fruto. Se hizo un análisis de correlación y regresión para conocer las ecuaciones y los coeficientes de determinación entre CH4 por cromatografía de gases y estimación de CH4 a partir de la TPG. Se encontró una tendencia positiva entre la estimación de metano por cromatografía de gases y por la TPG, por lo que, la TPG es promisoria para la determinación de metano de frutos de Leucaena collinsii y Guazuma ulmifolia.

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 Psicoperspectivas is the property of Pontificia Universidad Catolica de Valparaiso, Escuela de Psicologia 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 study, we address the optimization of crucial elements in the production process of cream ice cream, a food product subject to strict regulations regarding hygiene and sweetening. This product is derived from an emulsion of fats and proteins and may include other ingredients and additives permitted under the Colombian Technical Standard NTC 1239. Instead of employing traditional factorial experiments, we utilize a mixture experiments-based approach with the primary objective of finding the formulation that maximizes the overall desirability of the final product. The process begins with the standardization of variables and the ice cream production process, based on two initial formulations. Through a mixture design, ten possible formulations are generated, and a multiple linear regression analysis is applied, considering factors of study such as cream, whole milk powder, and condensed milk in relation to key response variables like overrun, yield, soluble solids, and costs. The Scheffé equation, obtained through the method of least squares, describes the relationship between these variables. The analysis is completed with an ANOVA to detect significant differences among the formulations. Formulation F6 is identified as the most optimal, with an overall desirability of 22.45%, meeting the proposed constraints and emerging as the preferred choice for the production of cream ice cream that balances product quality and economic efficiency in the food industry. [ABSTRACT FROM AUTHOR]

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco 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 Ecosistemas y Recursos Agropecuarios is the property of Universidad Juarez Autonoma de Tabasco 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.)

Stapfochloa berroi (Arechav.) P.M. Peterson es una gramínea perenne de crecimiento primavero-estival, nativa de Sudamérica, que en la Pampa Deprimida (Buenos Aires, Argentina) es clave debido a su valor forrajero y adaptación a ambientes que son restrictivos para otras especies forrajeras exóticas. Reincorporar germoplasma nativo seleccionado sería importante tanto para aumentar la productividad ganadera como para mantener y/o recuperar la biodiversidad en estos agroecosistemas. El objetivo fue estudiar asociaciones y relaciones funcionales entre algunos de los caracteres que podrían explicar el éxito de implantación en dos poblaciones espontáneas de S. berroi provenientes de estepas de halófitas de la Pampa Deprimida, evaluadas en dos sustratos. Se registró el peso individual de semillas para ambas poblaciones. Posteriormente, las semillas con su peso individual identificado se sembraron en bandejas plantineras con sustrato limitante (suelo de bajo alcalino) y sin limitantes (suelo de horizonte A de un argiudol típico) en invernáculo. A los 54 días, para cada individuo, se determinó: altura, longitud de la raíz adventicia más larga y total, número de raíces adventicias, de hojas verdes desplegadas y de macollas. También se determinó peso seco aéreo, radical y total. Se analizaron correlaciones (coeficiente de Pearson) y regresiones múltiples entre los caracteres. Para ambas poblaciones, en cada uno de los sustratos, se encontraron patrones de correlaciones similares y significativos (p≤0,05). Algunos caracteres de fácil medición (e.g. altura de planta, número de hojas) resultaron determinantes del peso seco total. Esto permitirá diseñar estrategias de selección indirecta independientemente del sustrato utilizado.

Forest inventory is the primary method for collecting and recording information regarding the volumetric quantification and yield of trees. However, this is difficult when the individual has been cut and only the stump remains, in which case inventory is achieved through regression techniques. The objective of this work was to adjust allometric equations for the estimation of normal diameter (dn), total height (at) and volume (v) using the stump diameter (dt) for Abies religiosa in different regions of Mexico. A total of 2,599 data points from 20 forest management units were used to analyze the variables and their respective predictions through eight allometric equations, which were evaluated with different statistical criteria. The adjusted coefficient of determination (R2 adj) explained 91 % of the normal diameter, together with the root mean square error (RMSE) of less than 4.75 cm with respect to the allometric equation (3). Another of the best options to estimate the total height is the Schumacher exponential (4) and the allometric (6) with values of R2 adj of approximately 50 %, accompanied by RMSE less than 5.03 m. However, for the volume of the forest, Schumacher's equation was considered pertinent since it has a RMSE ranging from 0.00001 to 0.0026 m3 with R2 adj that explains more than 74 % of the variation of the data observed in each UMAFOR. These regressions may be useful for the restoration of trees after an unplanned or unexpected felling event, as the results are statistically reliable. [ABSTRACT FROM AUTHOR]

There is a wide variety of techniques and models for forecasting electrical energy consumption, depending on both the type of user, the forecast horizon, and the resolution of the available data. Likewise, there are different metrics to evaluate the performance of these models. So, in this research an integrated multi-criteria methodology is proposed to select the best forecast model for residential electricity consumption, using the Analytical Hierarchical Process (AHP) to establish the weights of relative importance of the decision criteria, and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to make the selection of the optimal model. The methodology is in turn framed within a data science process, through which the data is extracted, processed, and analyzed, prior to the application of the machine learning algorithms to obtain the forecast models, which will correspond to decision alternatives. The performance metrics in the evaluation phase of the models, and the performance metrics obtained from the forecast phase, are considered as the decision criteria. From the pairwise comparisons technique, it was obtained that the mean absolute percentage error (MAPE) of the prognosis phase was the criterion with the greatest weight of importance, followed by the coefficient of determination R2 and the MAPE of the evaluation phase. From the TOPSIS method, the Multiple Linear Regression model was selected as the optimal forecast model. [ABSTRACT FROM AUTHOR]

El presente artículo es un ensayo para introducir la distopía regresiva o descivilizatoria, siguiendo las coordenadas teóricas propuestas por Norbert Elias. Explora las narrativas de obras situadas en un futuro posterior a un desastre nuclear y en donde el orden civilizatorio moderno con el Estado centralizado y la economía interdependiente se ha derrumbado, regresando a lógicas premodernas de tipo tribal. Para ilustrar y explorar los alcances de esta propuesta se toma la franquicia de Mad Max, considerada icónica por su estética y sus núcleos argumentativos. This article is an essay to introduce regressive or decivilizing dystopia, following the theoretical coordinates proposed by Norbert Elias. It explores the narratives of works located in a future after a nuclear disaster and, where the modern civilizing order with the centralized State and the interdependent economy has collapsed, returning to pre-modern logics of a tribal type. To illustrate and explore the scope of this proposal, the Mad Max franchise, considered iconic for its aesthetics and its argumentative cores, is taken.

We developed an index for measuring the achievement of students of Computer Sciences. The index was modeled by a regression equation. Different models were developed. Their behavior was evaluated for deciding which equation leaded to more accurate forecasting. [ABSTRACT FROM AUTHOR]

La gangliosidosis GM1 es ocasionada por deficiencia en la actividad catalítica de la enzima lisosomal beta-galacto-sidasa, dando origen a la acumulación del esfingolípido conocido como gangliósido GM1. La enfermedad se manifiesta en forma generalizada, con trastornos neurológicos y visceromegalias. Reportamos un caso de presentación juvenil, masculino de 5 años con historia de pérdida de hitos del desarrollo motor, cognitivo y lenguaje en forma progresiva. Se diagnosticó gangliosidosis GM1 juvenil o tipo II luego del análisis de los estudios de laboratorio, neuroimágen y baja actividad enzimática de la beta-galactosidasa.

Copyright of Medicina (Buenos Aires) is the property of Medicina (Buenos Aires) 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 TECHNO Review is the property of Eurasia Academic Publishing Group 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 risk management business evolves rapidly, so actuaries are faced with the need for new analysis methodologies. However, the use of incorrect methodologies for actuarial modeling can have serious implications for strategic decision making. This study aims to introduce the simplex regression model as a suitable methodology for actuarial modeling of data whose values belong to the unit interval. Using a risk management data set, the linear model with normal distribution and the proposed regression model were compared. The evaluation of the models presented concluded by the quality of the modeling through simplex regression, indicating the quality of this method as a new analysis tool for the actuarial context. [ABSTRACT FROM AUTHOR]

Copyright of Agronomía Colombiana is the property of Universidad Nacional de Colombia 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 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.)

La participación de las personas mayores en la sociedad está considerada como una de las dimensiones centrales del denominado envejecimiento activo. Esta investigación tiene como objeto analizar la participación política –convencional y no convencional– de las personas mayores en España, marcando el objetivo de conocer si su edad, como factor explicativo, mantiene relación directa con participar más o menos, así como conocer qué otros factores se pueden extraer como limitadores o modificadores de dicha participación. Para ello se llevaron a cabo un total de tres modelos de regresión logística para cada una de las tres variables dependientes, relativas a las dimensiones de la participación política consideradas, con el fin de conocer qué variables actúan y qué efecto producen sobre la propia edad. Las principales conclusiones permiten afirmar que las personas mayores se alejan de los modos de participación no institucionalizados y que las variables de contenido político son las que en mayor medida limitan el efecto de la propia edad sobre la participación política.

Los desastres naturales representan una grave amenaza a nivel mundial y, a futuro, se espera que su frecuencia y severidad aumenten debido al cambio climático. La evidencia empírica ha reportado resultados contradictorios en términos del impacto de los desastres en el crecimiento económico. En este contexto, el objetivo de este trabajo es sintetizar la evidencia empírica reciente de este tópico. Para ello se emplean técnicas de meta-análisis y meta-regresión. Se incluyen más de 650 estimaciones, de estudios publicados en los últimos cinco años (2015-2020). La revisión incluye tres fuentes (Scopus, Science Direct y Google Scholar). Los resultados identificaron la existencia de un efecto combinado negativo y significativo (-0.015). Los países en desarrollo son especialmente vulnerables frente a desastres. El impacto negativo es mayor para los desastres ocurridos en la última década -en relación a desastres anteriores-. Estos hallazgos constituyen un llamado de atención a favor de políticas de mitigación y adaptación.

Son muchas las personas en el mundo actual que dedican su esfuerzo a lo que podría denominarse “la nueva cultura de la longevidad”, que es el intento de vivir más y en mejores condiciones de vida. El objetivo de este trabajo es proponer un modelo matemático para estimar el índice de calidad de vida (ICV) en adultos mayores. El caso de estudio corresponde a ancianatos de la zona periurbana de Asunción, Paraguay. El estudio es observacional descriptivo de corte transversal. Participaron 33 adultos mayores de 60 años, de ambos sexos, para los cuales se estimó el ICV a través de la encuesta Evaluación del ICV en adultos mayores (FUMAT). Se aplicó una regresión múltiple lineal para estimar el ICV a través de un modelo matemático a partir de los parámetros de distintos indicadores. Respecto a los indicadores de la calidad de vida, se encontró que los promedios más bajos de los distintos indicadores corresponden a los relacionados al derecho (43±19), el bienestar material (45±30) y la autodeterminación (48±24). El modelo propuesto presenta un excelente acuerdo con los datos iniciales. Los valores de error estándar y RMSE son 0.22% y 0.10, respectivamente. Además, el modelo reproduce correctamente la dependencia de los distintos indicadores con el valor del ICV. Asimismo, permite identificar cuáles son los indicadores con más peso en la estimación del ICV, y permite predecir su valor en otras muestras.

Copyright of World Water Policy is the property of Wiley-Blackwell 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 surface of agricultural soils affected with salinity causes degradation and reduction of crop production, negatively impacting the economy of farmers. The objective of this research was to determine the effect of water quality and soil salinity on rice production in the sub-basin of the Yaguachi River, Ecuador. For this purpose, 99 soil samples were georeferenced and analysed over an area of 19 027 ha, as well as water samples representative of the area under study. Soil pH and electrical conductivity (EC) maps were produced and a regression analysis between EC and rice yield was performed on 34 producer plots. The predominant texture of the soils was found to be clayey, with an average pH of 6.73; The 38.4 % of the samples had an EC between 3.8 and 7.1 dS m-1. Rice yield gradually decreased as it was grown in soils with higher salinity and 26.81 % of the yield loss was found to be attributed to the increase in EC. The salinity of the irrigation water and other quality indicators such as the percentage of soluble sodium (Na+) and the sodium adsorption ratio (RAS) classified the water as severely restricted for use. However, given that crop yields did not show as drastic a reduction as expected, it can be said that the rice plant responds to the conditions of the canton of San Jacinto de Yaguachi as moderately tolerant to salinity. [ABSTRACT FROM AUTHOR]

Se evaluó la fluctuación de insectos plagas en 16 genotipos de maíz, se analizó la relación entre el número de insectos y el rendimiento de grano, y se identificaron las plagas más importantes para las condiciones del distrito de Campo Verde en Pucallpa, región Ucayali. 16 genotipos de maíz amarillo duro fueron evaluados bajo el diseño de bloques completos al azar con tres repeticiones; cada parcela tuvo 72 plantas sembradas a una densidad de 62.500 plantas por hectárea. El experimento se realizó en el distrito de Campo Verde, provincia de Coronel Portillo, departamento de Ucayali, Perú. Mediante el muestreo sistemático de plagas, se tomaron 15 plantas por genotipo al azar en las que se contaron los insectos presentes en ellas. En total, se realizaron 12 evaluaciones a los 10, 18, 26, 34, 41, 48, 54, 62, 69, 75, 84 y 96 días después de la siembra (dds). Seis plagas de un total de siete fueron obtenidas con más frecuencia durante el ciclo del cultivo, las que se identificaron como: Dalbulus maidis (De Long y Wolcott) (Hemiptera: Cicadellidae), Diabrotica viridula (Fabricius) (Coleoptera: Chrysomelidae), Diatraea saccharalis (Fabricius) (Lepidoptera: Crambidae), Empoasca kraemeri (Ross y Moore) (Hemiptera: Cicadellidae), Oliarus spp. (Hemiptera: Cixiidae) y Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae). En promedio, de las 12 evaluaciones realizadas sobre los 16 genotipos, cuatro fueron los momentos en los que se registró el mayor número de insectos por planta (26, 34, 54 y 96 dds). Las líneas de regresión resultaron no ser significativas; sin embargo, es evidente la relación negativa entre el número de insectos y el rendimiento de grano. Aparentemente, las tres plagas más importantes serían: S. frugiperda, seguida de D. maidis y D. viridula, ya que sin estas plagas el rendimiento promedio de los 16 genotipos subiría de 2,16 t/ha a 3,1; 2,98 y 2,81 t/ha, respectivamente.

Los determinantes de la innovación en las micro y pequeñas empresas [mype] están relacionados con las características del director de la mype, las características de la mype y el medio ambiente en el que está inmersa la empresa. En estas tres clases, se identificaron diez variables vinculadas a la innovación. Se construyó una base de datos con los resultados de las investigaciones de Relayn de 2015 al 2021, obteniendo una muestra de 249,553 mypes de cinco países, principalmente de México. Encontramos que los factores ambientales -la competencia y el entorno empresarial- junto con la claridad de metas del director, son las principales causas de innovación de las mypes.

One of the priority objectives of microgrids is to achieve energy self-sufficiency, generally resorting to distributed generation sources and backup systems; however, they are usually connected to conventional electrical networks that ensure supply to the loads. Addressing this problem, this work presents a proposal (managing elements) to minimize the dependence of power from the external electrical system in the months of greatest demand and thus guarantee the supply of the other months. The proposed methodology compares two statistical techniques: central composition design with 20 simulated experimental replicas and regression with 28. In both cases, the monthly average purchased power is analyzed as a primary response and its standard deviation as a secondary. The study variables are seven photovoltaic arrays and the feed characteristics of the turbine-generator storage of the microgrid of the Center for Development of Renewable Energies (CEDER), belonging to the Center for Energy Research, Environmental and Technological (CIEMAT). The results, with high predictive quality supported by indexes of approach to the real values of solar radiation and the operation of the turbine-generator binomial, provide regions where CEDER has the possibility of increasing the capacities of solar systems and/or modifying the geometry of the mini-hydraulics supply according to your specific conditions. [ABSTRACT FROM AUTHOR]

Copyright of Revista de Psicoterapia y Psicosomática is the property of Instituto de Estudios Psicosomaticos & Psicoterapia Medica 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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Increasing and modeling efficiency is a very important aspect related to public water and sewerage utilities. An important element of measuring the efficiency of water companies is the amount of profit obtained. In previous articles we have analyzed problems of technical efciency in Romanian water and sewerage operators, in this article we present a multiple linear regression on net profit, which is an expression of economic efficiency. Using the tools of econometrics, we have modeled which elements have an important effect on increases or decreases in the profit obtained. The equation was created on the basis of the annual financial statements of the Romanian water and sewerage operators for the period 2014-2018. With the help of multiple linear regression we can predict the level of profit growth if different elements of the regression increase. The results of the research can be useful to the management of water and sewerage operators, Inter-Community Development Associations, water and sewerage regulators, as well as to economists doing sectoral analyses related to water and sewerage

In this article the behavior over time of the Earth's magnetic field in the municipality of Fúquene, Colombia is determined. From the historical series of magnetic field measurements over the Earth's surface provided by the Fúquene geomagnetic observatory, which contains the historical record of 60 years of hourly measurements of the terrestrial magnetic field components, a regression analysis of the terrestrial magnetic field components as a function of time was performed. Two methods were used to remove outliers that complemented each other, the Z_score method and the Hampel filter. In the analized period since 1955 to 2015, the intensity of the terrestrial magnetic field has decreased by 14%, with a projected variation of more than 25% for the year 2055. The magnetic field intensity change rate 0.08675 [µT/year] was calculated and compared with the information reported by NOAA (National Oceanic and Atmospheric Administration) finding an excellent agreement. Besides, the ocurrence of geomagnetic storms in the data was determined, from the gradients of the horizontal component of the magnetic field during the main solar events that occurred in the study period. According to the historical behavior of the terrestrial magnetic field components, in the future we expect that the decreasing of Earth's magnetic Field continues, which would imply a higher threat to the effects of space weather in the country, such as the generation of GICs (Geomagnetically Induced Currents) in the Colombian electricity system. [ABSTRACT FROM AUTHOR]

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Copyright of Didacticae: Revista de Investigación en Didácticas Específicas is the property of Didacticae: Revista de Investigacion en Didacticas Especificas 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.)

We can see that in many cases, the “New Argentinian Narrative” (NAN, or Nueva Narrativa Argentina in Spanish), has a particular way of utilizing the incorrectly dubbed “lesser” genres, such as science fiction. We believe that NAN “uses” this genre with specific characteristics. First, it is operated through a mechanism of regression, as past trauma colors tints imagined futures. Here we analyze future-building in four novels: El año del desierto by Pedro Mairal (2005); Plop by Rafael Pinedo (2004); Berazachussetts by Leandro Ávalos Blacha (2007); and Gongue by Marcelo Cohen (2012). In these novels, the future is regressive and constitutes a return to the past. The configuration of time also defines that of space, and a unique new chronotopes is are created: regressive deserts and rivers. These are two significant spaces in the collective national imagination, associated with the civilization-barbarism dichotomy that is a common thread in is a constant topic in Argentine literature as a whole. These works make use of elements from science fiction in order to consider their own present, which is the consequence of a traumatic past.

This study aims to identify variables with the highest impact on students' performance in the National Exam of High School (Enem), per municipality. The research adopted the educational sociology perspective and used spatial statistics to analyze the dynamics of territorial influence. We analyzed Enem 2018, measuring the degree of importance of each category of variables for the average and variance of students' grades in the exam - which is separated in an essay and an objective test - and used statistical modeling and geospatial analysis, such as linear and spatial regressions. The results indicate that, for the objective test, variables like percentage of students with scholarship, income, race, schooling, and education level of students' mothers are relevant to students' performance and dispersion of grades in each municipality. For the essay, variables were similar to the objective test but with less impact on the average and variance of the grades. This explicative factor increases when a spatial component is introduced in the model for the essay grades, indicating that there are other regional factors, besides socioeconomics, impacting the performance and dispersion per municipality. The results reinforce the sociological studies on education since the socioeconomic disparities reflected in the students' performance stand out, which are also pointed out by Bourdieu (1998, 2008, 2009) in his studies of the fundamentals of school productivity of inequalities. Studies with this integrated perspective are relevant to understand the influence of municipalities' location, evidencing specific gaps and, consequently, directing and influencing public actions to overcome inequalities. [ABSTRACT FROM AUTHOR]

Copyright of Revista Habanera de Ciencias Médicas is the property of Universidad de Ciencias Medicas de La Habana 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 paper considers a frequentist perspective to deal with the class of correlated binomial regression models (Pires & Diniz, 2012), thus providing a new approach to analyze correlated binary response variables. Model parameters are estimated by direct maximization of the log-likeliliood function. We also consider a diagnostic analysis under the correlated binomial regression model setup, which is performed considering residuals based on predictive values and deviance residuals (Cook & Weisberg, 1982) to check for model assumptions, and global influence measure based on case-deletion (Cook, 1977) to detect influential observations. Moreover, a sensitivity analysis is carried out to detect possible influential observations that could affect the inferential results. This is done using local influence metrics (Cook, 1986) with case-weight, response, and covariate perturbation schemes. A simulation study is conducted to assess the frequentist properties of model parameter estimates and check the performance of the considered diagnostic metrics under the correlated binomial regression model. A data set on high-cost claims made to a private health care provider in Brazil is analyzed to illustrate the proposed methodology. [ABSTRACT FROM AUTHOR]