Situational-Context for Virtually Modeling the Elderly

The generalized aging of the population is incrementing the pressure over, frequently overextended, healthcare systems. This situations is even worse in underdeveloped, sparsely populated regions like Extremadura in Spain or Alentejo in Portugal. In this paper we propose an initial approach to use the Situational-Context, a technique to seamlessly adapt Internet of Things systems to the needs and preferences of their users, for virtually modeling the elderly. These models could be used to enhance the elderly experience when using those kind of systems without raising the need for technical skills. The proposed virtual models will also be the basis for further eldercare innovations in sparsely populated regions

Nonstationary spatiotemporal Bayesian data fusion for pollutants in the near‐road environment

Concentrations of near‐road air pollutants (NRAPs) have increased to very high levels in many urban centers around the world, particularly in developing countries. The adverse health effects of exposure to NRAPs are greater when the exposure occurs in the near‐road environment as compared to background levels of pollutant concentration. Therefore, there is increasing interest in monitoring pollutant concentrations in the near‐road environment. However, due to various practical limitations, monitoring pollutant concentrations near roadways and traffic sources is generally rather difficult and expensive. As an alternative, various deterministic computer models that provide predictions of pollutant concentrations in the near‐road environment, such as the research line‐source dispersion model (RLINE), have been developed. A common feature of these models is that their outputs typically display systematic biases and need to be calibrated in space and time using observed pollutant data. In this paper, we present a nonstationary Bayesian data fusion model that uses a novel data set on monitored pollutant concentrations (nitrogen oxides or NOx and fine particulate matter or PM2.5) in the near‐road environment and, combining it with the RLINE model output, provides predictions at unsampled locations. The model can also be used to evaluate whether including the RLINE model output leads to improved pollutant concentration predictions and whether the RLINE model output captures the spatial dependence structure of NRAP concentrations in the near‐road environment. A defining characteristic of the proposed model is that we model the nonstationarity in the pollutant concentrations by using a recently developed approach that includes covariates, postulated to be the driving force behind the nonstationary behavior, in the covariance function.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/151876/1/env2581.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/151876/2/env2581_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/151876/3/ENV_2581-Supp-0001-BDF_supp_material.pd

Discriminating Variable Star Candidates in Large Image Databases from the HiTS Survey Using NMF

AbstractNew instruments and technologies are allowing the acquisition of large amounts of data from astronomical surveys. Nowadays there is a pressing need for autonomous methods to discriminate the interesting astronomical objects in the vast sky. The High Cadence Transient Survey (HiTS) project is an astronomical survey that is trying to find a rare transient event that occurs during the first instants of a supernova. In this paper we propose an autonomous method to discriminate stellar variability from the HiTS database, that uses a feature extraction scheme based on Non-negative matrix factorization (NMF). Using NMF, dictionaries of image prototypes that represent the data in a compact way are obtained. The projections of the dataset into these dictionaries are fed into a random forest classifier. NMF is compared with other feature extraction schemes, on a subset of 500,000 transient candidates from the HiTS survey. With NMF a better class separability at feature level is obtained which enhances the classification accuracy significantly. Using the NMF features less than 4% of the true stellar transients are lost, at a manageable false positive rate of 0.1%

S. Typhimurium sseJ gene decreases the S. Typhi cytotoxicity toward cultured epithelial cells

<p>Abstract</p> <p>Background</p> <p><it>Salmonella enterica </it>serovar Typhi and Typhimurium are closely related serovars as indicated by >96% DNA sequence identity between shared genes. Nevertheless, <it>S</it>. Typhi is a strictly human-specific pathogen causing a systemic disease, typhoid fever. In contrast, <it>S</it>. Typhimurium is a broad host range pathogen causing only a self-limited gastroenteritis in immunocompetent humans. We hypothesize that these differences have arisen because some genes are unique to each serovar either gained by horizontal gene transfer or by the loss of gene activity due to mutation, such as pseudogenes. <it>S</it>. Typhi has 5% of genes as pseudogenes, much more than <it>S</it>. Typhimurium which contains 1%. As a consequence, <it>S</it>. Typhi lacks several protein effectors implicated in invasion, proliferation and/or translocation by the type III secretion system that are fully functional proteins in <it>S</it>. Typhimurium. SseJ, one of these effectors, corresponds to an acyltransferase/lipase that participates in SCV biogenesis in human epithelial cell lines and is needed for full virulence of <it>S</it>. Typhimurium. In <it>S</it>. Typhi, <it>sseJ </it>is a pseudogene. Therefore, we suggest that <it>sseJ </it>inactivation in <it>S</it>. Typhi has an important role in the development of the systemic infection.</p> <p>Results</p> <p>We investigated whether the <it>S</it>. Typhi <it>trans</it>-complemented with the functional <it>sseJ </it>gene from <it>S</it>. Typhimurium (STM) affects the cytotoxicity toward cultured cell lines. It was found that <it>S</it>. Typhi harbouring <it>sseJ_STM</it>presents a similar cytotoxicity level and intracellular retention/proliferation of cultured epithelial cells (HT-29 or HEp-2) as wild type <it>S</it>. Typhimurium. These phenotypes are significantly different from wild type <it>S</it>. Typhi</p> <p>Conclusions</p> <p>Based on our results we conclude that the mutation that inactivate the <it>sseJ </it>gene in <it>S</it>. Typhi resulted in evident changes in the behaviour of bacteria in contact with eukaryotic cells, plausibly contributing to the <it>S</it>. Typhi adaptation to the systemic infection in humans.</p

Variación radial de la anatomía, densidad y durabilidad de la madera de teca (Tectona grandis) procedente de dos calidades de sitio y dos regiones climáticas de Costa Rica

The objective of this study was to show the radial variation of some anatomic characteristics, wood density and natural durability of teak (Tectona grandis L.F.) growing in Costa Rica. Samples of trees 13 years old were obtained from two growing sites (high and low growing) of plantations established in a humid tropical climate (CHT) and dry tropical climate (CST). The variables measured of the fibers as well as for the rays were not affected by the climate or the type of growing site, except for the length of the fibers. The fibers of teak wood from the best growing site were significantly larger. Vessels were found with a greater frequency for the CST but mostly solitary in comparison with the CHAverage density, maximum density and the variation within the ring presented a light higher magnitude for the CSThe quality of the growing site did not affect these variables. The resistance of fungus attack was similar in the area of heartwood near the pith compared to the heartwood near the sapwood for all the conditions evaluated. Nevertheless, it was observed in some trees a similar resistance of fungus attack for areas of sapwood compared to similar areas of heartwood.Con el objetivo de mostrar la variaci&oacute;n radial de las caracter&iacute;sticas anat&oacute;micas, de densidad normal y de durabilidad natural de la madera de Tectona grandis L.f. creciendo en Costa Rica, se muestrearon plantaciones de 13 a&ntilde;os procedentes de dos regiones con clima diferente: clima h&uacute;medo tropical (CHT) y clima seco tropical (CST). En cada una de ellas se analizaron dos tipos de sitios con diferente fertilidad: bueno (SB) y malo (SM). Se encontr&oacute; que las fibras y los radios no fueran afectados por el tipo de clima o calidad de sitio, a excepci&oacute;n de la longitud de la fibra que s&iacute; fue afectada. Se encontr&oacute; que CST produce mayor frecuencia de vasos, pero en su mayor&iacute;a solitarios en relaci&oacute;n al CHT, la densidad normal promedio, m&aacute;xima y su variaci&oacute;n dentro del anillo, presentan magnitudes mayores en CST que CSH. La calidad de sitio no afect&oacute; estas variables. La resistencia al ataque de hongos fue similar en el duramen pr&oacute;ximo a la m&eacute;dula y el duramen pr&oacute;ximo a la albura para los dos tipos de clima y las calidades de sitio. No obstante, se observ&oacute; que en algunos &aacute;rboles la resistencia al ataque de los hongos del duramen fue similar a la albura

Desarrollo y aplicacion de PCR multiple para la deteccion simultanea de tres virus de ADN en camote (Ipomoea batatas L.)

El virus colusivo del camote (SPCV, genero Cavemovirus), el virus del aclaramiento de venas del camote (SPVC, genero Solendovirus) y el virus del enrollamiento de hojas del camote (SPLCV, genero Begomovirus) son virus con genoma de ADN, presentes en el camote en infecciones virales simples o multliples. La identificacion y deteccion de estos virus es complicada, ya que con frecuencia son asintomaticos y estan en concentraciones bajas en las plantas de camote. Se desarrollo una PCR multiple (mPCR) con el objetivo de lograr la deteccion simultanea de SPVC, SPVCV y SPLCV (y Begomovirus relacionados); para ellos se seleccionaron cebadores especificos para SPCV y SPVCV, y se utilizaron cebadores degenerados para Begomovirus (desarrollados por Li et al. 2004). Para la optimizacion de parametros se usaron plantas de camote con infecciones simples y mixtas. Se optimizo la concentracion de cebadores (0,1-0, 3uM), MgCl2 (2,5-8,0mM), dNTPs (0.2-0.8 mM), Taq-polimerasa (2-4U), parametros en el termociclador (temperatura de hibridacion de 48-62 oC y el numero de ciclos de 29-35), y la cantidad de acidos nucleidos (50-300 ng). Para validar le mPCR se uso plantas de camote de una coleccion de germplasma in vitro que estaban infectados con los virus en estudio y fueron confirmados por clonacion y secuenciamiento de las amplificaciones obtenidas. Los pares de cebadores especificos seleccionados para cada virus pudieron amplificar fragmentos de ADN en tamanos esperados, a una concentracion final de 0.16 uM para cebadores de SPCV y SPVCV, y 0.2uM para SPLCV. Ademas la concentracion de ADN adecuada esta entre 50-100 ng, con 30 ciclos termicos y 53 oC de temperatura de hibridacion. Este ensayo demostro ser simple, sensible y confiable para el diagnostico de rutina de SPCV, SPVCV y SPLCV (y Begomovirus relacionados). El ensayo de mPCR sera util para programas de cuarentena, como un metodos rapido y rentable para un gran numero de muestras

Mejoramiento en la eficiencia del proceso de secado convencional y homogenización en el color de la Albura y el Duramen en madera de Teca (Tectona grandis L.) (Documento I)

Informe final de Proyecto de Investigación. Código: 5401-1401-1030Different drying schedules were investigated to decrease drying time of Tectona grandis L. wood from juvenile plantations, using the drying rate (DR) to reduce time. The DR value was 20% per day during the first stages and by the time the wood reached 30% of moisture content (MC), the DR remained in 8% per day until the end of drying. The initial moisture content (MCi) ranged between 92 and 115%, MCi was affected by grain pattern and heartwood percentage. The final moisture content (MCf) differed in 2.0% in relation to the MC targeted for this study. Drying time can be reduced from 140 hours to 105 hours, maintaining DR conditions and saving 33% of energy consumption. DR is affected by moisture content and drying time and this behavior can be modeled mathematically by the equation Y = a*t + b. In these relations, the factors with greatest influence were dry-bulb temperature and wet-bulb depression. Both relations show an inflexion point in the relation DR-MC, 80% in fast drying schedule and 40% in slow drying schedule. This MC indicates the point where the DR must be changed