Impact of Water Supply and Sanitation on Diarrheal Morbidity among Young Children in the Socioeconomic and Cultural Context of Rwanda (Africa)

This project studied the frequency and of water contamination at the source, during transportation, and at home to determine the causes of contamination and its impact on the health of children aged 0 to 5 years. The methods used were construction of the infrastructure for three sources of potable water, administration of a questionnaire about socioeconomic status and sanitation behavior, anthropometric measurement of children, and analysis of water and feces. The contamination, first thought to be only a function of rainfall, turned out to be a very complex phenomenon. Water in homes was contaminated (43.4%) with more than 1100 total coliforms/100 ml due to the use of unclean utensils to transport and store water. This socio-economic and cultural problem should be ad- dressed with health education about sanitation, The latrines (found in 43.8% of families) presented a double-edged problem. The extremely high population density reduced the surface area of land per family, which resulted in a severe nutritional deficit (15% of the children) affecting mainly young children, rendering them more susceptible to diarrhea (three episodes/child/year).

Freeway travel time estimation and prediction using dynamic neural networks

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.^

A methodology to estimate time varying user responses to travel time and travel time reliability in a road pricing environment

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.

Determinants of Mid-scale Hotel Brand Equity

The traditional brand management in the hotel industry is facing a great challenge as numerous brands provide many choices to hotel guests. In such competitive environments, hotel firms realize that capitalizing on one of the most important assests they own- the brand- is critical to achieve a premier growth goal not only rapidly but also in a cost- effective way. THe purpose of this study is to examine the determinants of cutsomer-based hotel brand equity for the mid-priced U.S. lodging segment by assessing the impacts of four-widely accepted brand equity dimensions: brand awareness, brand associations, percieved quality and customer loyalty. 277 travelers participated in this study at the airport in a Midwestern city. Perceived quality, brand loyalty, brand associations were found to be the core components of brand equity, while brand awareness, a seemingly important source of brand equity, did not exert a significant influence on building brand equity of mid-priced hotels. The result of this study sheds insight about how to create, manage, and evaluate a distinctive and successful hotel brand.

Official Airlines Assist Meeting Planners

Selecting an airline as the official one for a convention or meeting can save meeting planners time, money, and a lot of work. The author discusses ways in which airlines can work with conferences of all sizes.

Exploring the Relationship Between Hotel Characteristics and Crime

Knowledge of crimes that have occurred in hotels has been scares. The authors explore the nature and causes of hotel crimes in a U.S. metropolitan area. Levels of crimes were directly related to size of the hotel, target market of business travelers, access to public transportation, and an unsafe image of the environment surrounding the hotel. Crime prevention programs based on the findings can be developed to protect the safety of guests and property.

A Look Back To Look Forward: New Patterns In The Supply/Demand Equation In The Lodging Industry

In his dialogue entitled - A Look Back to Look Forward: New Patterns In The Supply/Demand Equation In The Lodging Industry - by Albert J. Gomes, Senior Principal, Pannell Kerr Forster, Washington, D.C. What the author intends for you to know is the following: “Factors which influence the lodging industry in the United States are changing that industry as far as where hotels are being located, what clientele is being served, and what services are being provided at different facilities. The author charts these changes and makes predictions for the future.” Gomes initially alludes to the evolution of transportation – the human, animal, mechanical progression - and how those changes, in the last 100 years or so, have had a significant impact on the hotel industry. “A look back to look forward treats the past as prologue. American hoteliers are in for some startling changes in their business,” Gomes says. “The man who said that the three most important determinants for the success of a hotel were “location, location, location” did a lot of good only in the short run.” Gomes wants to make you aware of the existence of what he calls, “locational obsolescence.” “Locational obsolescence is a fact of life, and at least in the United States bears a direct correlation to evolutionary changes in transportation technology,” he says. “…the primary business of the hospitality industry is to serve travelers or people who are being transported,” Gomes expands the point. Tied to the transportation element, the author also points out an interesting distinction between hotels and motels. In addressing, “…what clientele is being served, and what services are being provided at different facilities,” Gomes suggests that the transportation factor influences these constituents as well. Also coupled with this discussion are oil prices and shifts in transportation habits, with reference to airline travel being an ever increasing method of travel; capturing much of the inter-city travel market. Gomes refers to airline deregulation as an impetus. The point being, it’s a fluid market rather than a static one, and [successful] hospitality properties need to be cognizant of market dynamics and be able to adjust to the variables in their marketplace. Gomes provides many facts and figures to bolster his assertions. Interestingly and perceptively, at the time of this writing, Gomes alludes to America’s deteriorating road and bridge network. As of right now, in 2009, this is a major issue. Gomes rounds out this study by comparing European hospitality trends to those in the U.S.

Importance-Performance Analysis of Guest Entertainment Technology Amenities in the Lodging Industry

An assessment of how hotel guests view in-room entertainment-technology amenities was conducted to compare the importance of these technologies to how they performed. In-room entertainment technology continues to evolve in the hotel industry. However, given the multitude of entertainment products available in the marketplace today, hoteliers have little understanding of guests’ expectations and of which in-room entertainment-technology amenities will drive guest satisfaction and increase loyalty to the hotel brand. Given that technology is integral to a hotel stay, this study seeks to evaluate the importance and performance of in-room entertainment-technology amenities. Findings indicate that free-to-guest television (FTG TV) and high-speed Internet access were the two most important inroom entertainment-technology amenities when it comes to the selection of a hotel for both leisure and business travelers. The Importance/Satisfaction Matrix presented in the current study showed that many of the in-room entertainment-technology amenities are currently a low priority for guests. Keywords: importance-performance analysis, hotel, in-room entertainment technologies

Demographic, Behavioral and Perceptual Comparisons of U.S Visitor Experience with Group Package Tours and Free Independent Travel to China

U.S. visitor demand for the China travel experience is anticipated to rise significantly through 2105, causing the Chinese government to employ 100 million service providers over the next six years and raising concern about service delivery and perceptions of the on-site China experience. In an effort to better understand these issues concerning U.S. visitors, this study investigated two specific types of U.S. travelers to China: Group Package Tour (GPT) visitors and Free Independent Travel (FIT) visitors. Results indicated that GPT visitors were more likely to be older and have higher household income than FIT visitors. Four trip-related characteristics of GPT and FIT visitors were found to be significantly different, with GPT visitors showing higher levels of satisfaction with the overall China on-site travel experience.

The Study of Clustering of Taiwanese Tourists' Motivations to Hong Kong

Abstract Driven by the political and economic forces of cross-strait, Taiwan has become one of the major source markets for Hong Kong tourism industry since 1987. The major purposes of this study were to investigate the following factors (1) The influential factors of travel motivation, (2) The clusters of travel motivations, (3) The marketing segmentation of clusters of Taiwanese tourists to visit Hong Kong. Through ten travel agents, self-report surveys were distributed to collect data from 366 Taiwanese travelers. Hence, four push factors and six pull factors were identified as travel motivations through the factor analysis. Combined with the cluster analysis; five new groups were founded. Finally, five clusters which process unique profiles (location difference, visiting frequency, travel satisfaction, and destination loyalty) were addressed. The suggestions of developing effective market strategies to attract Taiwanese tourists to Hong Kong were also provided.

Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks

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.

A study to identify the motivation compelling the business traveler to choose a specific airline in the Miami to Atlanta market and to develop a marketing strategy

The purpose of this study was to determine if the business traveler's behavior is influenced by brand loyalty. This brand loyalty, which became evident through the use of a survey, was then to be thoroughly evaluated. In order for this information to be best understood and utilized as the basis of future marketing strategies, much research was undertaken and its significance explained in relation to the airline industry as it exists at present. The results and conclusions of this study indicate that the airline industry is, for the most part, taking a successful approach in attracting business travelers. These travelers' business is highly valued due to the frequency with which they pay full-fare rates. The airlines view business travelers as a potential for great profit and their actions are in line with these philosophies.

Gestão de resíduos sólidos domiciliares na cidade de Chibuto, província de Gaza Moçambique

This study analyzes the process of generation and management of solid waste in the Municipality of the City of Chibuto-Mozambique, drawing on the different approaches towards allocation and the socio-environmental implications resulting from this process and waste spatial distribution. To answer these objectives a questionnaire was administered to 367 households distributed in 14 neighborhoods of the city to elicit information on how solid waste is treated and what could be its impact on public health of the residents. From this perspective, the questionnaire gasp information from immigrant residents regarding both their origin, and socio economic condition. Apart from the questionnaire, semi-structured interviews were conducted to staff working on the Sanitation Sector, Urbanization Sector of the Chibuto Municipality, including the Health Service, and Women and Social Affairs. In addition to these data collection methods, for further discussion on the subject, the researcher draw a theoretical framework grounded through literature review, as well as systematic observation of the phenomenon. Research findings revealed that the solid waste collection services provided by the Chibuto Municipality do not follow the procedures laid down in the Regulation on Solid Waste Management, which advocates environmentally safe, sustainable, and complete management of waste. First, the services use open dumps for waste management. Secondly, waste collection does not cover all citizens living in the neighborhoods governed by the municipality, due to financial, technical, and organizational reasons. More importantly, the study found that due to this failure, more than 90% of households surveyed continue to use the traditional methods on waste management which include burning, or the burial techniques. On the other hand, some citizens throw waste on the streets, a method that threatens public health because it increases cases of diseases related to sanitation problems such as (diarrhea and malaria), especially in suburban and peripheral urban areas. Concerning with the above mentioned problems which constitute a real threat to the public health, some ways are proposed for more sustainable and spatially appropriate solid waste management through recycling, waste sorting, composting, reuse, and reduction of solid waste generation.

Qualidade dos serviços hoteleiros: percepções dos turistas de negócios de Teresina-PI

Business tourism is one of tourist segments with different market characteristics in relation to others segmentations, such as low seasonality, there is no requirement of natural attractions, it serves as destination projection and it generates profitable larger numbers. Due to the context around business travels, the hotel so many times has a fundamental whole among the elements of the production chain in this segmentation. Business tourism in Teresina is the primary segmentation of the capital, since it represents almost 70% of hotel demand; hence this research has as objective to evaluate through the perceptions of business travelers, the level of quality services of hotels of Teresina. The research is exploratory and descriptive, of functionalist character. This study is characterized by qualitative and quantitative research, supported by a basis of methodological pluralism. For primary data collection was performed applying a suitable research instrument of SERVPERF model (Service Performance). The universe of this study were Teresina's accommodations, restricted to only those that fit in hotel category and it was inside metropolitan area of Teresina. The study subjects were business travelers who were hosted in these hotels. For the analysis, it was considered certain factors: descriptive analysis, factor analysis, correlation matrix analysis of the variables; It was still compiling a graphic of lexicons obtained in the survey about respondent's the notion of quality of vision in the hotel service; Finally, qualitative analysis was based on the theories of marketing, targeting and quality of tourism services applied. The results show that the Teresina hotel service is on a regular average, especially for Reliability and Safety dimensions were highlighted. Whereas, the factor analysis showed the emergence of two factors to explain "Empathy" dimension, one of this is about the organization and the other one is about consumer. And by Lexicometria was possible to observe the importance to the customer of other variables such as: personal aspects, price and location for this tour segmentation.

Síndrome de Guillain-Barré: epidemiologia, prognóstico e fatores de risco

Introduction. Guillain-Barré syndrome (GBS) is an immune-mediated polyneuropathy and the principal cause of acute neuromuscular paralysis. The most prominent GBS subtypes are: acute inflammatory demyelinating polyneuropathy (AIDP), acute motor axonal neuropathy (AMAN), acute motor-sensory axonal neuropathy (AMSAN) and Fisher syndrome (FS). Differences in geographical distribution of variants have been reported. In Brazil, there are few studies describing the characteristics of GBS, but none on the frequency of GBS variants and their clinical manifestations. Infection-induced aberrant immune response resulting from molecular mimicry and formation of cross-reacting antibodies, contribute to complement activation. Functional biallelic polymorphism in immunoglobulin receptors that influence the affinity of IgG subclasses and the type of immune response have been described, suggesting genetic susceptibility to developing disease. It remains unclear whether individuals carrying different FCGR alleles have differential risk for GBS and⁄or disease severity. The goals of this study were: (1) To characterize GBS and describe the clinical findings in a cohort of patients with GBS from the state of Rio Grande do Norte, Brazil; (2) to determine whether polymorphism in FCGR were associated with development of GBS, and (3) to tease out whether the global gene expression studies could be a tool to identify pathways and transcriptional networks which could be regulated and decrease the time of disease. Methods. Clinical and laboratory data for 149 cases of GBS diagnosed from 1994 to 2013 were analyzed. Genomic DNA and total RNA were extracted from whole blood. Antigangliosides antibodies were determined in the sera. In addition, we also assessed whether FCGR polymorphism are present in GBS (n=141) and blood donors (n=364), and global gene expressions were determined for 12 participants with GBS. Blood samples were collected at the diagnosis and post-recovery. Results. AIDP was the most frequent variant (81.8%) of GBS, followed by AMAN (14.7%) and AMSAN (3.3%). The incidence of GBS was 0.3 ⁄ 100,000 people for the state of Rio Grande do Norte and cases occurred at a younger age. GBS was preceded by infections, with the axonal variant associated with episodes of diarrhea (P = 0.025). Proximal weakness was more frequent in AIDP, and distal weakness predominant in the axonal variant. Compared to 42.4% of cases with AIDP (P<0.0001), 84.6% of cases with the axonal variant had nadir in <10 days. Individuals with the axonal variant took longer to recover deambulation (P<0.0001). The mortality of GBS was 5.3%. A worse outcome was related to an axonal variant (OR17.063; P=0.03) and time required to improve one point in the Hughes functional scale (OR 1.028; P=0.03). The FCGR genotypes and allele frequencies did not differ significantly between the patients with GBS and the controls (FCGR2A p=0.367 and FCGR3A p=0.2430). Global gene expression using RNAseq showed variation in transcript coding for protein isoforms during acute phase of disease. Conclusions. The annual incidence of GBS was 0.3 per 100,00 and there was no seasonal pattern. A predominance of the AIDP variant was seen, and the incidence of the disease decreased with age. The distribution of weakness is a function of the clinical variants, and individuals with the axonal variant had a poorer prognosis. Early diagnosis and variant identification leads to proper intervention decreasing in long-term morbidity. FCGR polymorphisms do not seem to influence susceptibility to GBS in this population. This study found deregulated genes and signs of transcriptional network alterations during the acute and recovery phases in GBS. Identification of pathways altered during disease might be target for immune regulation and with potential to ameliorate symptoms.