Performance Modeling of Fresnel-Based CPV Systems: Effects of Deformations under Real Operation Conditions

Getting a lower energy cost has always been a challenge for concentrated photovoltaic. The FK concentrator enhances the performance (efficiency, acceptance angle and manufacturing tolerances) of the conventional CPV system based on a Fresnel primary stage and a secondary lens, while keeping its simplicity and potentially low‐cost manufacturing. At the same time F‐XTP (Fresnel lens+reflective prism), at the first glance has better cost potential but significantly higher sensitivity to manufacturing errors. This work presents comparison of these two approaches applied to two main technologies of Fresnel lens production (PMMA and Silicone on Glass) and effect of standard deformations that occur under real operation condition

Experiments of an IoT-based wireless sensor network for flood monitoring in Colima, Mexico

Urban flooding is one of the major issues in many parts of the world, and its management is often challenging. One of the challenges highlighted by the hydrology and related communities is the need for more open data and monitoring of floods in space and time. In this paper, we present the development phases and experiments of an Internet of Things (IoT)-based wireless sensor network for hydrometeorological data collection and flood monitoring for the urban area of Colima-Villa de Álvarez in Mexico. The network is designed to collect fluvial water level, soil moisture and weather parameters that are transferred to the server and to a web application in real-time using IoT Message Queuing Telemetry Transport protocol over 3G and Wi-Fi networks. The network is tested during three different events of tropical storms that occurred over the area of Colima during the 2019 tropical cyclones season. The results show the ability of the smart water network to collect real-time hydrometeorological information during extreme events associated with tropical storms. The technology used for data transmission and acquisition made it possible to collect information at critical times for the city. Additionally, the data collected provided essential information for implementing and calibrating hydrological models and hydraulic models to generate flood inundation maps and identify critical infrastructure

Perceptions of clinical veterinarians on the personal and professional attributes appreciated by their clients

Se desarrolló un estudio observacional transversal en 210 Veterinarios muestreados aleatoriamente en la Provincia de Tucumán con los objetivos de describir los atributos personales y profesionales en veterinarios clínicos y sus relaciones con variables sociodemográficas del profesional. El análisis estadístico incluyó correlación de Pearson y la generación de categorías y atributos utilizando InfoStat' y Atlas.ti . Los clínicos de pequeñas especies, generalmente más jóvenes y del género femenino, destacaron aspectos como: paciencia, confianza y buen trato hacia personas y pacientes. Como contrapartida, los veterinarios de grandes animales, frecuentemente varones y de mayor edad, resaltaron atributos como: puntualidad, responsabilidad, profesionalismo, experiencia, confianza, precisión en el diagnóstico, practicidad y resguardo de los aspectos económicos.A cross-sectional observational study was carried out in 210 veterinary clinicians randomly sampled in the Province of Tucumán. The objectives were to describe personal and professional attributes and their relationships with socio-demographic variables. Statistical analysis included Pearson correlation coeficient and the generation of categories and attributes using InfoStat@ and Atlas.ti@. Small animal clinicians, generally young females, highlighted attributes such as patience, trust and good relationships with clients and patients. On the other hand, large animal practitioners, often male and older than small animal clinicians, highlighted punctuality, responsibility, professionalism, experience, trust, precision in diagnosis, practicality and economic aspects.Fil: Imoberdorf, Carina Graciela. Universidad Nacional de Tucumán. Facultad de Agronomía y Zootecnia; ArgentinaFil: Arcila Quiceno, Victor H.. Universidad Cooperativa de Colombia; ColombiaFil: Tarabla, Pablo A.. Universidad Católica de Santa Fe; ArgentinaFil: Ibarreche, Antonio Bernardo. Universidad Nacional de Tucumán. Facultad de Agronomía y Zootecnia; ArgentinaFil: Signorini Porchietto, Marcelo Lisandro. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Santa Fe. Instituto de Investigacion de la Cadena Lactea. - Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Santa Fe. Estacion Experimental Agropecuaria Rafaela. Instituto de Investigacion de la Cadena Lactea.; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias; ArgentinaFil: Tarabla, Hector Dante. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias; Argentin

Experiments of an IoT-based wireless sensor network for flood monitoring in Colima, Mexico

Abstract Urban flooding is one of the major issues in many parts of the world, and its management is often challenging. One of the challenges highlighted by the hydrology and related communities is the need for more open data and monitoring of floods in space and time. In this paper, we present the development phases and experiments of an Internet of Things (IoT)-based wireless sensor network for hydrometeorological data collection and flood monitoring for the urban area of Colima-Villa de Álvarez in Mexico. The network is designed to collect fluvial water level, soil moisture and weather parameters that are transferred to the server and to a web application in real-time using IoT Message Queuing Telemetry Transport protocol over 3G and Wi-Fi networks. The network is tested during three different events of tropical storms that occurred over the area of Colima during the 2019 tropical cyclones season. The results show the ability of the smart water network to collect real-time hydrometeorological information during extreme events associated with tropical storms. The technology used for data transmission and acquisition made it possible to collect information at critical times for the city. Additionally, the data collected provided essential information for implementing and calibrating hydrological models and hydraulic models to generate flood inundation maps and identify critical infrastructure