Factors of resilience in future teachers

Desde una perspectiva educativa, partimos de la importancia de fomentar la capacidad de resiliencia en los alumnos de Magisterio como generadores de resiliencia en sus futuras aulas. Analizamos algunos factores resilientes en una muestra de 315 alumnos de Magisterio a partir de la adaptación a la población española del Cuestionario de Resiliencia en Estudiantes Universitarios (CRE-U; Peralta, Ramírez y Castaño, 2006), destacando la empatía y el vínculo afectivo como los factores resilientes más elevados en nuestros sujetos, así como la relación existente entre el estilo de apego adulto y varios de los factores resilientes estudiados.From an educational perspective, we depart from the importance of promoting the capacity of resilience in the students of Teacher Training as generators of resilience in their future classrooms. We analyze some factors of resilience in a sample of 315 students of Teacher Training from the adjustment to the Spanish population of Resilience Questionnaire in University Students (CRE-U; Peralta, Ramirez & Castaño, 2006), emphasizing empathy and the affective link as the highest factors of resilience in our subjects, as well as the existing relationship between the style of adult attachment and several of the factors of resilience studied.peerReviewe

Factores resilientes en los futuros maestros

From an educational perspective, we depart from the importance of promoting the capacity of resilience in the students of Teacher Training as generators of resilience in their future classrooms. We analyze some factors of resilience in a sample of 315 students of Teacher Training from the adjustment to the Spanish population of Resilience Questionnaire in University Students (CRE-U; Peralta, Ramirez and Castaño, 2006), emphasizing empathy and the affective link as the highest factors of resilience in our subjects, as well as the existing relationship between the style of adult attachment and several of the factors of resilience studied.Desde una perspectiva educativa, partimos de la importancia de fomentar la capacidad de resiliencia en los alumnos de Magisterio como generadores de resiliencia en sus futuras aulas. Analizamos algunos factores resilientes en una muestra de 315 alumnos de Magisterio a partir de la adaptación a la población española del Cuestionario de Resiliencia en Estudiantes Universitarios (CRE-U; Peralta, Ramírez y Castaño, 2006), destacando la empatía y el vínculo afectivo como los factores resilientes más elevados en nuestros sujetos, así como la relación existente entre el estilo de apego adulto y varios de los factores resilientes estudiados

Development of model based sensors for the supervision of a solar dryer

Solar dryers are increasingly used in developing countries as an alternative to drying in open air, however the inherent variability of the drying conditions during day and along year drive the need for achieving low cost sensors that would enable to characterize the drying process and to react accordingly. This paper provides three different and complementary approaches for model based sensors that make use of the psychrometric properties of the air inside the drying chamber and the temperature oscillations of the wood along day. The simplest smart sensor, Smart-1, using only two Sensirion sensors, allows to estimate the accumulated water extracted from wood along a complete drying cycle with a correlation coefficient of 0.97. Smart-2 is a model based sensor that relays on the diffusion kinetics by means of assesing temperature and relative humidity of the air inside the kiln. Smart-2 model allows to determine the diffusivity, being the average value of D for the drying cycle studied equal to 5.14 × 10−10 m2 s−1 and equal to 5.12 × 10−10 m2 s−1 for two experiments respectively. The multidistributed supervision of the dryer shows up the lack of uniformity in drying conditions supported by the wood planks located in the inner or center of the drying chamber where constant drying rate kinetics predominate. Finally, Smart-3 indicates a decreasing efficiency along the drying process from 0.9 to 0.

Production, cellular structure and thermal conductivity of microcellular (methyl methacrylate)–(butyl acrylate)–(methyl methacrylate) triblock copolymers.

Microcellular foaming of a (methyl methacrylate)–(butyl acrylate)–(methyl methacrylate) triblock copolymer was carried out by means of supercritical CO2 in a single-step process. The experiments were performed at 40 °C using a pressure of 300 bar (30 MPa) during 24 h. The depressurization times were modified from 2 to 30 min, leading to cell sizes from 10 to 100 µm, and relative densities from 0.11 to 0.17. It was found that the key parameter to control cell size and density was depressurization time: longer depressurization times generated larger cell sizes and lower densities. The thermal conductivity of these materials was measured using the transient plane source technique, and it was found that this decreased as the density was reduced. Various models for the prediction of thermal conductivity by conduction were tested. It was found that all the models underestimated the experimental results due to a significant contribution of radiation heat flow for these material

Smart Sensing Applications in the Agriculture and Food Industry

This chapter is structured in three main sections: an introduction to the smart concept and smart quality control, a review of the state of the art in integrated sensors, embedded systems, and the third one which is dedicated to a review of three case studies. The case studies refer to three results lines that are under taken by the LPF-TAGRALIA in the field of smart sensing. It provides examples of how to develop smart capabilities within standard low cost sensors. A variety of smart capabilities have been selected such as dynamic analysis of physical magnitudes, transmission diagnosis and such reliability and a full range of examples of analytical models of wood drying that can be incorporated to sensor chips to enhance sensor performs and to enable the term smart sensor. Each of the three sections of the chapter is independent and so the reader can decide where to start from according to their particular expertise. For unfamiliar readers with smart technologies, all of them might be of interest, while for experienced readers in the subject the case studies directly are probably the most relevant issue

Evolution of Angiogenic Factors in Pregnant Patients with Breast Cancer Treated with Chemotherapy

Factors angiogènics; Quimioteràpia; EmbaràsFactores angiogénicos; Quimioterapia; EmbarazoAngiogenic factors; Chemotherapy; PregnancyHigh prevalence of placental-derived complications, such as preeclampsia and intrauterine growth restriction, has been reported in women with breast cancer (BC) treated with chemotherapy during pregnancy (PBC-CHT). Aim: To ascertain whether PBC-CHT is associated with an imbalance of angiogenic factors, surrogate markers for placental insufficiency, that could explain perinatal outcomes. Methods: Prospective study between 2012 and 2016 in a single institution. Soluble fms-like tyrosine kinase (sFlt-1), placental growth factor (PlGF), and soluble endoglin (sEng) in maternal blood were assessed throughout pregnancy in 12 women with BC and 215 controls. Results: Cancer patients were treated with doxorubicin-based regimes and with taxanes. Ten PBC-CHT (83%) developed obstetrical complications. At the end of the third trimester, significantly higher levels of sFlt-1; sFlt-1/PGF ratio, and sEng levels were observed in BC women as compared to controls. Moreover; there was a significant correlation between plasma levels of sFlt-1 and the number of chemotherapy cycles administered. Besides, more chemotherapy cycles correlated with lower birthweight and head circumference at birth. Conclusions: Women with BC treated during pregnancy showed an antiangiogenic state compatible with placental insufficiency. Angiogenic factors could be useful in the clinical obstetric management of these patients; although further studies will be required to guide clinical decision-making.This study was funded by the Spanish Research Project in Health funded by ISCIII, the state plan for scientific and technical research and innovation 2015–2018, and European Regional Development Fund (ERDF), ref. PI15/02252. This study was also supported in part by RETICS ‘Maternal and Child Health and Development Network’ (SAMID Network), funded by the PN I + D + i 2008–2016 (Spain), ISCIII-Sub-Directorate General for Research Assessment and Promotion, and the European Regional Development Fund (ERDF), ref. RD12/0026 and RD16/0022. O.S. was supported by SAMID Network (RD12/0026/0016 and RD16/0022/0015) and S.M. was supported by “Paseico de la mama”

Advanced Characterisation of a Coffee Fermenting Tank by Multi-distributed Wireless Sensors: Spatial Interpolation and Phase Space Graphs

The fermentation stage is considered to be one of the critical steps in coffee processing due to its impact on the final quality of the product. The objective of this work is to characterise the temperature gradients in a fermentation tank by multi-distributed, low-cost and autonomous wireless sensors (23 semi-passive TurboTag® radio-frequency identifier (RFID) temperature loggers). Spatial interpolation in polar coordinates and an innovative methodology based on phase space diagrams are used. A real coffee fermentation process was supervised in the Cauca region (Colombia) with sensors submerged directly in the fermenting mass, leading to a 4.6 °C temperature range within the fermentation process. Spatial interpolation shows a maximum instant radial temperature gradient of 0.1 °C/cm from the centre to the perimeter of the tank and a vertical temperature gradient of 0.25 °C/cm for sensors with equal polar coordinates. The combination of spatial interpolation and phase space graphs consistently enables the identification of five local behaviours during fermentation (hot and cold spots)

Development of smart sensors for the supervision of a solar dryer: agro-products dehydration application

Solar dryers are increasingly used in developing countries as an alternative to drying in open air, however the inherent variability of the drying conditions during day and along year drive the need for achieving low cost sensors that would enable to characterize the drying process and to react accordingly. This paper provides an approach for smart sensors that make use of the psychrometric properties of the air inside the drying chamber along day. The proposed model shows a high agreement with bibliographic dat

Supervisión multidistribuida de transportes refrigerados mediante tecnología inalámbrica: diagrama de fases una nueva metodología de análisis.

El estudio de los gradientes de temperatura en cámaras frigoríficas y contenedores es un problema crítico en la industria alimentaria para el aseguramiento de la calidad de los productos durante el transporte, así como para minimizar las pérdidas. El objetivo de este trabajo es el desarrollo de una nueva metodología de análisis de datos basada en la reconstrucción del espacio de fases de la serie temporal de temperaturas, registradas por una red multidistribuida de sensores inalámbricos autónomos y de bajo coste. Se monitorizó un transporte transoceánico en barco de limones en un contenedor multimodal refrigerado, desde Montevideo (Uruguay) a Cartagena (España), utilizando una red de 39 tarjetas RFID semi-pasivas TurboTag ®. El viaje completo incluyó el transporte transoceánico de larga distancia, un cambio de buque para un segundo transporte en barco de corta distancia y finalmente un viaje en camión hasta la central. El análisis de datos se basó en un estudio cualitativo de las series temporales mediante la representación de diagramas de fases calculados sobre la teoría de reconstrucción de atractores de Takens-Ruelle. El estrés de la fruta se cuantificó en términos del área que sobre el diagrama de fases ocupó el ciclo o atractor de la temperatura. Esta nueva metodología para el análisis de los datos pone de relieve la significativa heterogeneidad de las condiciones térmicas en diferentes puntos del contenedor

Supervisión multidistribuida de transportes refrigerados mediante redes de sensores: diagramas de fases, una nueva metodología de análisis

El estudio de la variabilidad de la temperatura en cámaras frigoríficas y contenedores es un problema crítico en la industria alimentaria para el aseguramiento de la calidad de los productos durante el transporte, así como para minimizar las pérdidas. El objetivo de este trabajo es el desarrollo de una nueva metodología de análisis de datos basada en la reconstrucción del espacio de fases de la serie temporal de temperaturas, registradas por una red multidistribuida de sensores inalámbricos autónomos y de bajo coste