273 resultados para Travelers.


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Mode of access: Internet.

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Mode of access: Internet.

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Same as the Hartford edition of 1889, except that the General index in last volume has been made more complete and the second memoir by Hutton replaced by memoir by R. Giffen.

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"Fifty sets were printed on large paper of which this is one of two sets for copyright."--Ms. note on p. 2 of v. 1, signed Archer Butler Hulbert.

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No more published?

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El presente trabajo tiene como objetivo mostrar y analizar las relaciones fronterizas entre indígenas, cronistas, viajeros y agentes del gobierno de Buenos Aires en el período de 1870 a 1880. Se prestará especial atención a las vinculaciones entre estos "mundos" a partir de los viajes que realizó Moreno a los toldos del cacique Valentín Sayhueque y su comunidad en las regiones aledañas al Lago Nahuel Huapi. No se descarta la influencia de otros cronistas de época (Cox y Musters) como tampoco la impronta de personajes centrales en el contexto (Zeballos y Roca). Los viajeros que recorrieron la Patagonia dejaron testimonios claves para comprender el proceso que se dio entre las sociedades indígenas y el Estado nacional argentino a fines del siglo XIX. Su análisis a través de una mirada crítica da la pauta de cómo las sociedades nativas fueron observadas y estudiadas desde el gobierno de Buenos Aires y países extranjeros. La actual Patagonia fue un punto de atracción (y lo sigue siendo), para muchos individuos que no conocen el lugar. Su naturaleza, paisaje, vegetación eran únicos y muy atractivos. Sus tierras eran habitadas por sujetos que no tenían las mismas formas de vida que el resto de las regiones del momento. Habían desarrollado costumbres, formas de comunicación, comercio e intercambio, relaciones sociales, festividades. Cronistas como Francisco Moreno son nodales para adentrarnos al mundo nativo desde otro ángulo, ya que nos muestra las relaciones en el espacio de frontera y los propósitos del gobierno de Buenos Aires en el momento de las campañas militares. Desde el punto de vista metodológico se ha recurrido a la Etnohistoria para abordar nuestro problema desde una óptica diferente y alimentando la investigación en curso

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Thesis (Master's)--University of Washington, 2016-06

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Rising costs of antimalarial agents are increasing the demand for accurate diagnosis of malaria. Rapid diagnostic tests (RDTs) offer great potential to improve the diagnosis of malaria, particularly in remote areas. Many RDTs are based on the detection of Plasmodium falciparum histidine-rich protein (PfHRP) 2, but reports from field tests have questioned their sensitivity and reliability. We hypothesize that the variability in the results of PfHRP2-based RDTs is related to the variability in the target antigen. We tested this hypothesis by examining the genetic diversity of PfHRP2, which includes numerous amino acid repeats, in 75 P. falciparum lines and isolates originating from 19 countries and testing a subset of parasites by use of 2 PfHRP2-based RDTs. We observed extensive diversity in PfHRP2 sequences, both within and between countries. Logistic regression analysis indicated that 2 types of repeats were predictive of RDT detection sensitivity (87.5% accuracy), with predictions suggesting that only 84% of P. falciparum parasites in the Asia-Pacific region are likely to be detected at densities

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Background & Aims: We have developed a therapeutic strategy for gastrointestinal infections that is based on molecular mimicry of host receptors for bacterial toxins on the surface of harmless gut bacteria. The aim of this study was to apply this to the development of a recombinant probiotic for treatment and prevention of diarrheal disease caused by enterotoxigenic Escherichia coli strains that produce heat-labile enterotoxin. Methods: This was achieved by expressing glycosyltransferase genes from Neisseria meningitidis or Campylobacter jejuni in a harmless Escherichia coli strain (CWG:308), resulting in the production of a chimeric lipopolysaccharide capable of binding heat-labile enterotoxin with high avidity. Results: The strongest heat-labile enterotoxin binding was achieved with a construct (CWG308:pLNT) that expresses a mimic of lacto-N-neotetraose, which neutralized ≥ 93.8% of the heat-labile enterotoxin activity in culture lysates of diverse enterotoxigenic Escherichia coli strains of both human and porcine origin. When tested with purified heat-labile enterotoxin, it was capable of adsorbing approximately 5% of its own weight of toxin. Weaker toxin neutralization was achieved with a construct that mimicked the ganglioside GM2. Preabsorption with, or coadministration of, CWG308:pLNT also resulted in significant in vivo protection from heat-labile enterotoxin-induced fluid secretion in rabbit ligated ileal loops. Conclusions: Toxin-binding probiotics such as those described here have considerable potential for prophylaxis and treatment of enterotoxigenic Escherichia coli-induced travelers' diarrhea.

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Surf Life Saving Queensland (SLSQ) is a leading authority on beach safety, providing patrol, education, and rescue services to both tourists and local residents along the coast of Queensland, Australia. SLSQ recognizes that tourists are a target group requiring special attention due to their unfamiliarity with ocean beaches and surfing activities, and in some cases having the additional challenge of poor swimming skills, language barriers, and disorientation in a foreign vacation environment. This article describes SLSQ initiatives to provide beach safety for tourists through a focus on service delivery and partnerships with the tourism industry and relevant government agencies. The positive involvement of SLSQ in tourism is a model for other coastal destinations, given that drowning is the second most frequent cause of injury death among international travelers.

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Providing transportation system operators and travelers with accurate travel time information allows them to make more informed decisions, yielding benefits for individual travelers and for the entire transportation system. Most existing advanced traveler information systems (ATIS) and advanced traffic management systems (ATMS) use instantaneous travel time values estimated based on the current measurements, assuming that traffic conditions remain constant in the near future. For more effective applications, it has been proposed that ATIS and ATMS should use travel times predicted for short-term future conditions rather than instantaneous travel times measured or estimated for current conditions. ^ This dissertation research investigates short-term freeway travel time prediction using Dynamic Neural Networks (DNN) based on traffic detector data collected by radar traffic detectors installed along a freeway corridor. DNN comprises a class of neural networks that are particularly suitable for predicting variables like travel time, but has not been adequately investigated for this purpose. Before this investigation, it was necessary to identifying methods for data imputation to account for missing data usually encountered when collecting data using traffic detectors. It was also necessary to identify a method to estimate the travel time on the freeway corridor based on data collected using point traffic detectors. A new travel time estimation method referred to as the Piecewise Constant Acceleration Based (PCAB) method was developed and compared with other methods reported in the literatures. The results show that one of the simple travel time estimation methods (the average speed method) can work as well as the PCAB method, and both of them out-perform other methods. This study also compared the travel time prediction performance of three different DNN topologies with different memory setups. The results show that one DNN topology (the time-delay neural networks) out-performs the other two DNN topologies for the investigated prediction problem. This topology also performs slightly better than the simple multilayer perceptron (MLP) neural network topology that has been used in a number of previous studies for travel time prediction.^

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Road pricing has emerged as an effective means of managing road traffic demand while simultaneously raising additional revenues to transportation agencies. Research on the factors that govern travel decisions has shown that user preferences may be a function of the demographic characteristics of the individuals and the perceived trip attributes. However, it is not clear what are the actual trip attributes considered in the travel decision- making process, how these attributes are perceived by travelers, and how the set of trip attributes change as a function of the time of the day or from day to day. In this study, operational Intelligent Transportation Systems (ITS) archives are mined and the aggregated preferences for a priced system are extracted at a fine time aggregation level for an extended number of days. The resulting information is related to corresponding time-varying trip attributes such as travel time, travel time reliability, charged toll, and other parameters. The time-varying user preferences and trip attributes are linked together by means of a binary choice model (Logit) with a linear utility function on trip attributes. The trip attributes weights in the utility function are then dynamically estimated for each time of day by means of an adaptive, limited-memory discrete Kalman filter (ALMF). The relationship between traveler choices and travel time is assessed using different rules to capture the logic that best represents the traveler perception and the effect of the real-time information on the observed preferences. The impact of travel time reliability on traveler choices is investigated considering its multiple definitions. It can be concluded based on the results that using the ALMF algorithm allows a robust estimation of time-varying weights in the utility function at fine time aggregation levels. The high correlations among the trip attributes severely constrain the simultaneous estimation of their weights in the utility function. Despite the data limitations, it is found that, the ALMF algorithm can provide stable estimates of the choice parameters for some periods of the day. Finally, it is found that the daily variation of the user sensitivities for different periods of the day resembles a well-defined normal distribution.