Plan de negocio para la implantación de un operador logístico, gestión de existencias mediante tecnología RFID

El presente proyecto pretende enmarcar y hacer hincapié en aquellas variables relevantes para la implantación de un Operador Logístico. Podemos dividir el proyecto en cuatro partes: ‐ Estudio de negocio: abarca el concepto de negocio, el estudio de mercado, estrategias del servicio, planificación económica y financiera. ‐ Estudio instalaciones: abarca el estudio de los medios de almacenamiento y manutención, así como la distribución de superficies y planos de emplazamiento y Layout. ‐ Estudio procesos productivos: se explican los procesos productivos llevados a cabo en la carga y descarga de mercancías. ‐ Estudio localización: se explica cómo se distribuye el área logística dentro de la geografía catalana y se realiza la selección de la ubicación óptima. ‐ Estudio sistemas RFID: se explican los conceptos y bases técnicas de estos sistemas, así como los pasos para su implantación

Accurate Human Tissue Characterization for Energy-Efficient Wireless On-Body Communications

The demand for Wireless Body Sensor Networks (WBSNs) is rapidly increasing due to the revolution in wearable systems demonstrated by the penetration of on-the-body sensors in hospitals, sports medicine and general health-care practices. In WBSN, the body acts as a communication channel for the propagation of electromagnetic (EM) waves, where losses are mainly due to absorption of power in the tissue. This paper shows the effects of the dielectric properties of biological tissues in the signal strength and, for the first time, relates these effects with the human body composition. After a careful analysis of results, this work proposes a reactive algorithm for power transmission to alleviate the effect of body movement and body type. This policy achieves up to 40.8% energy savings in a realistic scenario with no performance overhead

An R package to visualize and communicate uncertainty in seasonal climate prediction

Interest in seasonal forecasting is growing fast in many environmental and socio-economic sectors due to the huge potential of these predictions to assist in decision making processes. The practical application of seasonal forecasts, however, is still hampered to some extent by the lack of tools for an effective communication of uncertainty to non-expert end users. visualizeR is aimed to fill this gap, implementing a set of advanced visualization tools for the communication of probabilistic forecasts together with different aspects of forecast quality, by means of perceptual multivariate graphical displays (geographical maps, time series and other graphs). These are illustrated in this work using the example of the strong El Niño 2015/16 event forecast. The package is part of the climate4R bundle providing transparent access to the ECOMS-UDG climate data service. This allows a flexible application of visualizeR to a wide variety of specific seasonal forecasting problems and datasets.This work has been funded by the European Union 7th Framework Program [FP7/20072013] under Grant Agreement 308291 (EUPORIAS Project). We are grateful to the EUPORIAS team on Communicating levels of con dence (Work Package 33)

Association of Nuclear Factor-Erythroid 2-Related Factor 2, Thioredoxin Interacting Protein, and Heme Oxygenase-1 Gene Polymorphisms with Diabetes and Obesity in Mexican Patients

The nuclear factor-erythroid 2- (NF-E2-) related factor 2 (Nrf2) is abated and its ability to reduce oxidative stress is impaired in type 2 diabetes and obesity. Thus, the aim of this study was to explore if polymorphisms in Nrf2 and target genes are associated with diabetes and obesity in Mexican mestizo subjects. The rs1800566 of NAD(P)H:quinone oxidoreductase 1 (NQO1) gene, rs7211 of thioredoxin interacting protein (TXNIP) gene, rs2071749 of heme oxygenase-1 (HMOX1) gene, and the rs6721961 and the rs2364723 from Nrf2 gene were genotyped in 627 diabetic subjects and 1020 controls. The results showed that the rs7211 polymorphism is a protective factor against obesity in nondiabetic subjects (CC + CT versus TT, OR = 0.40, P=0.005) and in women (CC versus CT + TT, OR = 0.7, P=0.016). TT carriers had lower high-density lipoprotein cholesterol levels and lower body mass index. The rs2071749 was positively associated with obesity (AA versus AG + GG, OR = 1.25, P=0.026). Finally, the rs6721961 was negatively associated with diabetes in men (CC versus CA + AA, OR = 0.62, P=0.003). AA carriers showed lower glucose concentrations. No association was found for rs1800566 and rs2364723 polymorphisms. In conclusion, the presence of Nrf2 and related genes polymorphisms are associated with diabetes and obesity in Mexican patients

How Does Mycorrhiza Interact with Different Levels of Fertilization on Prosopis alba?

Presentado al 3rd International Electronic Conference on Forests—Exploring New Discoveries and New Directions in Forests, 15–31 October 2022This study assessed how the interactions between chemical fertilization levels and arbuscular mycorrhizal fungus species (AMF) affect the seedling’s morphology and biochemical traits in Prosopis alba. Subsequently, the seedlings were inoculated or not with a mixture of native AMF from two origins of contrasting sites in the Chaco Region. Preliminarily, we observed a positive mycorrhizal response to the AMF in interaction with chemical fertilization (at 60% fertilizer concentration). These results were reflected mainly over some morphological parameters than over biochemical parameters. The lack of a clear answer is probably since the benefits of the symbiosis on the host plant could be observed in the establishment phase in the field.EEA Santiago del EsteroFil: Senilliani, Maria Gracia. Universidad Nacional de Santiago Del Estero. Facultad de Ciencias Forestales. Instituto de Silvicultura y Manejo de Bosques; ArgentinaFil: Guzmán, Analía del Valle. Universidad Nacional de Santiago Del Estero. Facultad de Ciencias Forestales. Instituto de Silvicultura y Manejo de Bosques; ArgentinaFil: Gomez, Adriana Teresita. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santiago del Estero; ArgentinaFil: Santacruz-García, Ana Carolina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Químicas; ArgentinaFil: Santacruz-García, Ana Carolina. Universidad Nacional de Santiago del Estero. Facultad de Agronomía y Agroindustrias. Instituto de Ciencias Químicas; ArgentinaFil: Sagadin, Monica Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Fisiología y Recursos Genéticos Vegetales; ArgentinaFil: Ewens, Mauricio. Universidad Católica de Santiago del Estero. Estación Experimental Fernández; ArgentinaFil: Coria, Cristian. Universidad Nacional de Santiago Del Estero. Facultad de Ciencias Forestales. Instituto de Silvicultura y Manejo de Bosques; ArgentinaFil: Gómez, Joaquín. Universidad Nacional de Santiago Del Estero. Facultad de Ciencias Forestales. Instituto de Silvicultura y Manejo de Bosques; ArgentinaFil: Frías, Rodrigo. Universidad Nacional de Santiago Del Estero. Facultad de Ciencias Forestales. Instituto de Silvicultura y Manejo de Bosques; ArgentinaFil: Nazareno, Mónica Azucena. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Químicas; ArgentinaFil: Nazareno, Mónica Azucena. Universidad Nacional de Santiago del Estero. Facultad de Agronomía y Agroindustrias. Instituto de Ciencias Químicas; Argentin

Statistical downscaling with the downscaleR package (v3.1.0): contribution to the VALUE intercomparison experiment

The increasing demand for high-resolution climate information has attracted growing attention to statistical downscaling (SDS) methods, due in part to their relative advantages and merits as compared to dynamical approaches (based on regional climate model simulations), such as their much lower computational cost and their fitness for purpose for many local-scale applications. As a result, a plethora of SDS methods is nowadays available to climate scientists, which has motivated recent efforts for their comprehensive evaluation, like the VALUE initiative (http://www.value-cost.eu, last access: 29 March 2020). The systematic intercomparison of a large number of SDS techniques undertaken in VALUE, many of them independently developed by different authors and modeling centers in a variety of languages/environments, has shown a compelling need for new tools allowing for their application within an integrated framework. In this regard, downscaleR is an R package for statistical downscaling of climate information which covers the most popular approaches (model output statistics ? including the so-called ?bias correction? methods ? and perfect prognosis) and state-of-the-art techniques. It has been conceived to work primarily with daily data and can be used in the framework of both seasonal forecasting and climate change studies. Its full integration within the climate4R framework (Iturbide et al., 2019) makes possible the development of end-to-end downscaling applications, from data retrieval to model building, validation, and prediction, bringing to climate scientists and practitioners a unique comprehensive framework for SDS model development. In this article the main features of downscaleR are showcased through the replication of some of the results obtained in VALUE, placing an emphasis on the most technically complex stages of perfect-prognosis model calibration (predictor screening, cross-validation, and model selection) that are accomplished through simple commands allowing for extremely flexible model tuning, tailored to the needs of users requiring an easy interface for different levels of experimental complexity. As part of the open-source climate4R framework, downscaleR is freely available and the necessary data and R scripts to fully replicate the experiments included in this paper are also provided as a companion notebook.We thank the European Union Cooperation in Science and Technology (EU COST) Action ES1102 VALUE (http://www.value-cost.eu) for making publicly available the data used in this article and the tools implementing the comprehensive set of validation measures and indices. We also thank the THREDDS Data Server (TDS) software developed by UCAR/Unidata (https://doi.org/10.5065/D6N014KG, Unidata, 2006) and all R developers and their supporting community for providing free software facilitating open science. We acknowledge the World Climate Research Program’s Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the EC-EARTH Consortium for producing and making available their model output used in this paper. For CMIP the U.S. Department of Energy’s Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led the development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. We are very grateful to the two anonymous referees participating in the interactive discussion for their insightful comments, helping us to considerably improve the original paper. Financial support. The authors acknowledge partial funding from the MULTI-SDM project (MINECO/FEDER, CGL2015-66583-R) and from the project INDECIS, part of the European Research Area for Climate Services Consortium (ERA4CS) with co-funding by the uropean Union (grant no. 690462)

Inhibición de la polifenol oxidasa de manzana “red delicious” por compuestos naturales, como una estrategia para reducir el pardeamiento de productos mínimamente procesados de manzana

En los últimos años, ha existido una tendencia creciente a consumir frutos y vegetales frescos cortados. Uno de los principales problemas para la comercialización de este tipo de productos, es el pardeamiento enzimático ocasionado por la actividad de la enzima polifenol oxidasa (PPO, EC 1.14.18.1). Este problema es particularmente importante en la manzana, por su tendencia a oxidarse una vez que es cortada. Debido a que la FDA ha prohibido el uso de sulfitos para reducir el pardeamiento de productos frescos cortados, se han desarrollado diversos estudios para reducir este efecto indeseable. Recientemente Villegas-Ochoa y col. En el 2005 demostraron que el uso de extractos de mieles típicas del estado de Sonora, México, reducían el oscurecimiento de jugos de manzana. En el presente trabajo se estudió el mecanismo de inhibición de la enzima PPO de manzana “Red Delicious” por diversos compuestos de origen natural: extracto de miel de palo fierro (Olneya tesota), ester fenílico del ácido caféico (CAPE) y L-cisteina. Se utilizó ácido clorogénico como sustrato, y la actividad se determinó espectrofotométricamente, midiendo el incremento de absorbancia a 400 y 420 nm. El CAPE, uno de los principales polifenoles presentes en mieles, presentó una inhibición de la PPO, por un mecanismo que puede ser considerado como una coprecipitación de la enzima o del sustrato. Palo Fierro y L-cisteina presentaron una inhibición del tipo mixto. Estos resultados pueden ser explicados, en el caso del Palo Fierro, considerando que el extracto es una mezcla de diferentes compuestos que pueden interactuar con la PPO de diferente manera. Estos resultados concuerdan con los resultados de inhibición del pardeamiento de jugo de manzana por los extractos naturales descritos previamente