40 resultados para Physiological parameters

em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain


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Després d’aplicar alguns tractaments d’elaboració i conservació als aliments, queden bacteris lesionats. Aquests bacteris perden la capacitat de créixer en els medis de cultiu selectiu convencionals, de manera que se’n subestima el recompte. Malgrat això, poden recuperar-se als aliments i suposar un risc per la salut, ja que alguns encara poden mantenir activitat metabòlica i integritat estructural. En aquest projecte, es van optimitzar protocols de preparació de mostres per citometria de flux (CF) per avaluar l’estat fisiològic de patògens alimentaris (Escherichia coli O157:H7, Salmonella Enteritidis i Listeria monocytogenes) sotmesos a estrès. Es van estudiar principalment dos paràmetres fisiològics: la integritat de membrana, mitjançant iodur de propidi i fluorocroms de la família SYTO; i l’activitat respiratòria, per la reducció intracel•lular d’una sal de tetrazole, el CTC. En primer lloc, es van avaluar variables de protocol, com la concentració de colorant, la ràtio entre colorants, la solució de tinció i el temps d’incubació, en mostres control (cèl•lules sanes i mortes). A continuació, els protocols optimitzats es van aplicar a suspensions bacterianes en medi de cultiu que prèviament havien estat sotmeses a estressos físics i fisicoquímics. Durant l’etapa final del projecte, els coneixements adquirits sobre la preparació de mostres per CF es van aplicar a l’anàlisi de mostres de matriu complexa: amanides comercials inoculades amb E. coli O157:H7. Als assajos amb indicadors d’integritat de membrana en suspensions bacterianes sotmeses a estrès, es van poder quantificar cèl•lules amb la membrana parcialment danyada (presumptes cèl•lules lesionades). El recompte de cèl•lules que mantingueren l’activitat respiratòria després de ser sotmeses a estrès va ser superior al que es va obtenir mitjançant recompte en placa convencional, cosa que va evidenciar la presència de cèl•lules actives però no cultivables. La introducció d’estratègies per reduir les interferències provocades per les partícules alimentàries i l’ús d’un anticòs amb marcatge fluorescent va permetre detectar selectivament les cèl•lules d’E. coli O157:H7 i avaluar-ne la integritat de membrana simultàniament. L’anàlisi de cèl•lules bacterianes per CF requereix de la exhaustiva optimització dels protocols, que són específics per cada soca i matriu. Malgrat això, i a diferència del mètode convencional per recompte en placa, ofereix la possibilitat d’obtenir una gran quantitat d’informació sobre el sovint complex estat fisiològic d’una mostra.

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Data concerning the effect of temperature on different physiological parameters of an invasive species can be a useful tool to predict its potential distribution range through the use of modelling approaches. In the case of the Argentine ant these data are too scarce and incomplete. The aim of the present study is to compile new data regarding the effect of temperature on the oviposition rate of the Argentine ant queens. We analysed the oviposition rate of queens at twelve controlled temperatures, ranging from 10ºC to 34ºC under different monogynous and polygynous conditions. The oviposition rate of the Argentine ant queens is affected by temperature in the same manner, independently of the number of queens in the nest. The optimal temperature for egg laying was 28ºC, and its upper and lower limits depended on the degree of polygyny

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Objetivos: La preocupación por la crisis económica que azota España y por lo tanto, a la comunidad autónoma de Navarra, sumado a la evidencia científica de las consecuencias que sufre el bebé al ser separado de su madre tras el nacimiento, siendo más notable por debajo de las 37 semanas de gestación, y al elevado estrés y sufrimiento de los padres cuando su hijo está encerrado en una incubadora, llevó al planteamiento de querer demostrar los posibles beneficios fisiológicos y psicológicos del método madre canguro (MMC) en bebés prematuros y sus madres. Metodología: Será un estudio experimental, longitudinal y prospectivo dirigido a 40 mujeres y a sus bebés prematuros, que den a luz en el hospital Virgen del Camino. El grado de satisfacción se determinará con preguntas extraídas de la escala validada Caring Assement Instrument (CARE- Q) y con otro cuestionario no validado. Los parámetros fisiológicos se medirán con un termómetro de mercurio y una cinta métrica. El programa informático SPSS® vs 21.0. será el elegido para el análisis estadístico. Limitaciones del estudio: La larga duración de la participación de la unidad madre-hijo, la tercera etapa domiciliaria del MMC, las restricciones de la UCIN del hospital Virgen del Camino junto al uso de una escala no validada, podría conllevar a la aparición de obstáculos a la hora, tanto de poder llevar a cabo el proyecto, como de la obtención de sus resultados.

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Aquest treball té com a objectiu principal millorar la qualitat de vida amb dones en etapa de climateri amb diagnòstic d’obesitat. Els objectius específics marcats són, augmentar el coneixement sobre l’etapa del climateri, modificar els hàbits per tal de millorar-los, disminuir conductes de risc, disminuir el IMC per sota de 30 kg/m2 i disminuir la simptomatologia física associada al climateri. Es tracta d’un programa educatiu, el qual va dirigit a la població de dones en etapa de climateri, entre 45 i 64 anys, amb diagnòstic d’obesitat de l’Àrea Bàsica de Salut de Palamós (Baix Empordà). A través del programa informàtic que s’utilitza al Centre d’Atenció Primària de Palamós, que s’anomena La Gavina, es trobaran les usuàries que compleixin els criteris d’inclusió i a partir d’aquí es realitzarà una entrevista individualitzada per a obtenir les dades necessàries que es basaran en paràmetres fisiològics com la talla, el pes, l’IMC, el perímetre abdominal, la tensió arterial i la freqüència cardíaca. D’altra banda s’utilitzaran les escales de valoració de l’Índex Menopàusic de Kupperman, el Qüestionari IPAQ, el Qüestionari de Valoració de la Qualitat de Vida en Dones de 45 a 64 anys, i l’escala HADS. El programa es basarà en sessions teorico-pràctiques que es duran a terme a la població de Palamós.

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La efectividad técnica de golpeo (ET) se ha identificado como un buen parámetro pronosticador del rendimiento en el tenis y la frecuencia de golpeo de pelotas (FGP), aunque es un parámetro de carga técnica y condicional poco utilizado, es un indicador capaz de detectar diferencias en el juego. El objetivo del estudio fue caracterizar la ET en función de la FGP en una jugadora profesional de máximo nivel competitivo, utilizando un protocolo maximal, continuo de intensidad progresiva y registrando paralelamente parámetros de carga y fisiológicos. Se ejecutaron un total de 212 golpes obteniendo una ET del 81.6 % de aciertos, los valores oscilaron a lo largo de la prueba entre un rango del 81.6 a 93.3 % de aciertos y únicamente disminuyeron hasta el 70.7 % en el último periodo alcanzado (UP) y a partir del punto de disminución de ET (PDET). Se alcanzó una FGP máxima (FGPmax) de 21 golpes·min-1, una duración de la prueba (DP) de 14:07 (min:s) correspondiente a un UP de 7. Se concluye que la jugadora presenta una elevada ET y una importante capacidad de mantener unos elevados indicies de ET, a pesar del incremento de la FGP y de la fatiga metabólica asociada.

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Evergreen trees in the Mediterranean region must cope with a wide range of environmental stresses from summer drought to winter cold. The mildness of Mediterranean winters can periodically lead to favourable environmental conditions above the threshold for a positive carbon balance, benefitting evergreen woody species more than deciduous ones. The comparatively lower solar energy input in winter decreases the foliar light saturation point. This leads to a higher susceptibility to photoinhibitory stress especially when chilly (< 12 C) or freezing temperatures (< 0 C) coincide with clear skies and relatively high solar irradiances. Nonetheless, the advantage of evergreen species that are able to photosynthesize all year round where a significant fraction can be attributed to winter months, compensates for the lower carbon uptake during spring and summer in comparison to deciduous species. We investigated the ecophysiological behaviour of three co-occurring mature evergreen tree species (Quercus ilex L., Pinus halepensis Mill., and Arbutus unedo L.). Therefore, we collected twigs from the field during a period of mild winter conditions and after a sudden cold period. After both periods, the state of the photosynthetic machinery was tested in the laboratory by estimating the foliar photosynthetic potential with CO2 response curves in parallel with chlorophyll fluorescence measurements. The studied evergreen tree species benefited strongly from mild winter conditions by exhibiting extraordinarily high photosynthetic potentials. A sudden period of frost, however, negatively affected the photosynthetic apparatus, leading to significant decreases in key physiological parameters such as the maximum carboxylation velocity (Vc,max), the maximum photosynthetic electron transport rate (Jmax), and the optimal fluorometric quantum yield of photosystem II (Fv/Fm). The responses of Vc,max and Jmax were highly species specific, with Q. ilex exhibiting the highest and P. halepensis the lowest reductions. In contrast, the optimal fluorometric quantum yield of photosystem II (Fv/Fm) was significantly lower in A. unedo after the cold period. The leaf position played an important role in Q. ilex showing a stronger winter effect on sunlit leaves in comparison to shaded leaves. Our results generally agreed with the previous classifications of photoinhibition-tolerant (P. halepensis) and photoinhibitionavoiding (Q. ilex) species on the basis of their susceptibility to dynamic photoinhibition, whereas A. unedo was the least tolerant to photoinhibition, which was chronic in this species. Q. ilex and P. halepensis seem to follow contrasting photoprotective strategies. However, they seemed equally successful under the prevailing conditions exhibiting an adaptive advantage over A. unedo. These results show that our understanding of the dynamics of interspecific competition in Mediterranean ecosystems requires consideration of the physiological behaviour during winter which may have important implications for long-term carbon budgets and growth trends.

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Report for the scientific sojourn at the Stanford University from January until June 2007. Music is well known for affecting human emotional states, yet the relationship between specific musical parameters and emotional responses is still not clear. With the advent of new human-computer interaction (HCI) technologies, it is now possible to derive emotion-related information from physiological data and use it as an input to interactive music systems. Providing such implicit musical HCI will be highly relevant for a number of applications including music therapy, diagnosis, nteractive gaming, and physiologically-based musical instruments. A key question in such physiology-based compositions is how sound synthesis parameters can be mapped to emotional states of valence and arousal. We used both verbal and heart rate responses to evaluate the affective power of five musical parameters. Our results show that a significant correlation exists between heart rate and the subjective evaluation of well-defined musical parameters. Brightness and loudness showed to be arousing parameters on subjective scale while harmonicity and even partial attenuation factor resulted in heart rate changes typically associated to valence. This demonstrates that a rational approach to designing emotion-driven music systems for our public installations and music therapy applications is possible.

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Low concentrations of elements in geochemical analyses have the peculiarity of beingcompositional data and, for a given level of significance, are likely to be beyond thecapabilities of laboratories to distinguish between minute concentrations and completeabsence, thus preventing laboratories from reporting extremely low concentrations of theanalyte. Instead, what is reported is the detection limit, which is the minimumconcentration that conclusively differentiates between presence and absence of theelement. A spatially distributed exhaustive sample is employed in this study to generateunbiased sub-samples, which are further censored to observe the effect that differentdetection limits and sample sizes have on the inference of population distributionsstarting from geochemical analyses having specimens below detection limit (nondetects).The isometric logratio transformation is used to convert the compositional data in thesimplex to samples in real space, thus allowing the practitioner to properly borrow fromthe large source of statistical techniques valid only in real space. The bootstrap method isused to numerically investigate the reliability of inferring several distributionalparameters employing different forms of imputation for the censored data. The casestudy illustrates that, in general, best results are obtained when imputations are madeusing the distribution best fitting the readings above detection limit and exposes theproblems of other more widely used practices. When the sample is spatially correlated, itis necessary to combine the bootstrap with stochastic simulation

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Studies show that feeding patterns, environmental conditions, and pet management mainly affect animal health, behavior and welfare. However, little epidemiologic data exist about pet dog feeding habits and management and canine behavior, especially aggression. Moreover, it is well known that serotonin is involved in aggression: a diet low in tryptophan (serotonin precursor) with high levels of neutral amino-acids could decrease the central levels of serotonin and increase the expression of aggression and impulsiveness in several domestic animals. oreover, brain levels of serotonin in humans and other species can be increased by physical activity. In this study we alysed the effects of diet management, supplementation and regular physical activity on oncentration of serotonin in a population of non aggressive dogs. The general aim of the study is to determine the effect of environmental factors on the dogs’ feeding habits as well as the relationship between the type of food provided and management and behavioral problems in dogs. The specific objectives were: characterization and comparison of different physiological and blood parameters between dogs with and without behavior pathologies. Observation of the impact of the diet and managment factors (exercise, education) on those parameters and on dog’s behavior, with particular attention to aggression. This study is divided into three phases, according with the objectives. Firstly, characterization of the dogs’ characteristics and serics profiles on the basis of the blood tests. Comparison between the values noticed on animals without any behavior pathology and animals with behavior disorder to point out the difference between the biochemical parameters of the two groups. Secondly, the purpose of the second phase is to verify whether a type of food is able to affect the biochemical paramenters of a population of non-aggressive dogs. Thirdly, the goal is to evaluate the effects of different diet factors, management and physical exercise on the canine aggression.

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Human arteries affected by atherosclerosis are characterized by altered wall viscoelastic properties. The possibility of noninvasively assessing arterial viscoelasticity in vivo would significantly contribute to the early diagnosis and prevention of this disease. This paper presents a noniterative technique to estimate the viscoelastic parameters of a vascular wall Zener model. The approach requires the simultaneous measurement of flow variations and wall displacements, which can be provided by suitable ultrasound Doppler instruments. Viscoelastic parameters are estimated by fitting the theoretical constitutive equations to the experimental measurements using an ARMA parameter approach. The accuracy and sensitivity of the proposed method are tested using reference data generated by numerical simulations of arterial pulsation in which the physiological conditions and the viscoelastic parameters of the model can be suitably varied. The estimated values quantitatively agree with the reference values, showing that the only parameter affected by changing the physiological conditions is viscosity, whose relative error was about 27% even when a poor signal-to-noise ratio is simulated. Finally, the feasibility of the method is illustrated through three measurements made at different flow regimes on a cylindrical vessel phantom, yielding a parameter mean estimation error of 25%.

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For the standard kernel density estimate, it is known that one can tune the bandwidth such that the expected L1 error is within a constant factor of the optimal L1 error (obtained when one is allowed to choose the bandwidth with knowledge of the density). In this paper, we pose the same problem for variable bandwidth kernel estimates where the bandwidths are allowed to depend upon the location. We show in particular that for positive kernels on the real line, for any data-based bandwidth, there exists a densityfor which the ratio of expected L1 error over optimal L1 error tends to infinity. Thus, the problem of tuning the variable bandwidth in an optimal manner is ``too hard''. Moreover, from the class of counterexamples exhibited in the paper, it appears thatplacing conditions on the densities (monotonicity, convexity, smoothness) does not help.

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Most methods for small-area estimation are based on composite estimators derived from design- or model-based methods. A composite estimator is a linear combination of a direct and an indirect estimator with weights that usually depend on unknown parameters which need to be estimated. Although model-based small-area estimators are usually based on random-effects models, the assumption of fixed effects is at face value more appropriate.Model-based estimators are justified by the assumption of random (interchangeable) area effects; in practice, however, areas are not interchangeable. In the present paper we empirically assess the quality of several small-area estimators in the setting in which the area effects are treated as fixed. We consider two settings: one that draws samples from a theoretical population, and another that draws samples from an empirical population of a labor force register maintained by the National Institute of Social Security (NISS) of Catalonia. We distinguish two types of composite estimators: a) those that use weights that involve area specific estimates of bias and variance; and, b) those that use weights that involve a common variance and a common squared bias estimate for all the areas. We assess their precision and discuss alternatives to optimizing composite estimation in applications.

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Many dynamic revenue management models divide the sale period into a finite number of periods T and assume, invoking a fine-enough grid of time, that each period sees at most one booking request. These Poisson-type assumptions restrict the variability of the demand in the model, but researchers and practitioners were willing to overlook this for the benefit of tractability of the models. In this paper, we criticize this model from another angle. Estimating the discrete finite-period model poses problems of indeterminacy and non-robustness: Arbitrarily fixing T leads to arbitrary control values and on the other hand estimating T from data adds an additional layer of indeterminacy. To counter this, we first propose an alternate finite-population model that avoids this problem of fixing T and allows a wider range of demand distributions, while retaining the useful marginal-value properties of the finite-period model. The finite-population model still requires jointly estimating market size and the parameters of the customer purchase model without observing no-purchases. Estimation of market-size when no-purchases are unobservable has rarely been attempted in the marketing or revenue management literature. Indeed, we point out that it is akin to the classical statistical problem of estimating the parameters of a binomial distribution with unknown population size and success probability, and hence likely to be challenging. However, when the purchase probabilities are given by a functional form such as a multinomial-logit model, we propose an estimation heuristic that exploits the specification of the functional form, the variety of the offer sets in a typical RM setting, and qualitative knowledge of arrival rates. Finally we perform simulations to show that the estimator is very promising in obtaining unbiased estimates of population size and the model parameters.

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uvby H-beta photometry has been obtained for a sample of 93 selected main sequence A stars. The purpose was to determine accurate effective temperatures, surface gravities, and absolute magnitudes for an individual determination of ages and parallaxes, which have to be included in a more extensive work analyzing the kinematic properties of A V stars. Several calibrations and methods to determine the above mentioned parameters have been reviewed, allowing the design of a new algorithm for their determination. The results obtained using this procedure were tested in a previous paper using uvby H-beta data from the Hauck and Mermilliod catalogue, and comparing the rusulting temperatures, surface gravities and absolute magnitudes with empirical determinations of these parameters.

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This paper estimates a model of airline competition for the Spanish air transport market. I test the explanatory power of alternative oligopoly models with capacity constraints. In addition, I analyse the degree of density economies. Results show that Spanish airlines conduct follows a price-leadership scheme so that it is less competitive than the Cournot solution. I also find evidence that thin routes can be considered as natural monopolies