Development and assessment of a method to estimate meal intake of nursing home residents

The objective was to develop and validate a method for estimating food intake of nursing home residents. The study was conducted with certified nursing assistants (CNAs) at a 180-bed nursing facility. CNAs assisted in the development of the new method by providing feedback on existing estimation methods. Four simulated resident trays were used to estimate both food intake and overall meal intake. Twelve CNAs' intake estimates for 34 simulated food items (n=384 estimates) were compared to weighed values. Eightyfive percent of the 384 intake estimates for the simulated food items were correct; Cohen's kappa was 0.80, p

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.

A Critical Review of the Implied Cost of Equity: A New Way to Estimate the Expected Return

For the last three decades, the Capital Asset Pricing Model (CAPM) has been a dominant model to calculate expected return. In early 1990% Fama and French (1992) developed the Fama and French Three Factor model by adding two additional factors to the CAPM. However even with these present models, it has been found that estimates of the expected return are not accurate (Elton, 1999; Fama &French, 1997). Botosan (1997) introduced a new approach to estimate the expected return. This approach employs an equity valuation model to calculate the internal rate of return (IRR) which is often called, 'implied cost of equity capital" as a proxy of the expected return. This approach has been gaining in popularity among researchers. A critical review of the literature will help inform hospitality researchers regarding the issue and encourage them to implement the new approach into their own studies.

Application and evaluation of an Institute of Medicine approach to dietary assessment and planning in long -term care

The primary purpose of these studies was to determine the effect of planning menus using the Institute of Medicine's (IOMs) Simple Nutrient Density Approach on nutrient intakes of long-term care (LTC) residents. In the first study, nutrient intakes of 72 subjects were assessed using Dietary Reference Intakes (DRIs) and IOM methodology. The intake distributions were used to set intake and menu planning goals. In the second study, the facility's regular menus were modified to meet the intake goals for vitamin E, magnesium, zinc, vitamin D and calcium. An experiment was used to test whether the modified menu resulted in intakes of micronutrients sufficient to achieve a low prevalence (<3%) of nutrient inadequacies. Three-day weighed food intakes for 35 females were adjusted for day-to-day variations in order to obtain an estimate of long-term average intake and to estimate the proportion of residents with inadequate nutrient intakes. ^ In the first study, the prevalence of inadequate intakes was determined to be between 65-99% for magnesium, vitamin E, and zinc. Mean usual intakes of Vitamin D and calcium were far below the Adequate Intakes (AIs). In the experimental study, the prevalence of inadequacies was reduced to <3% for zinc and vitamin E but not magnesium. The groups' mean usual intake from the modified menu met or exceeded the AI for calcium but fell short for vitamin D. Alternatively, it was determined that addition of a multivitamin and mineral (MVM) supplement to intakes of the regular menu could be used to achieve goals for vitamin E, zinc and vitamin D but not calcium and magnesium. ^ A combination of menu modification and MVM supplementation may be necessary to achieve a low prevalence of micronutrient inadequacies among LTC residents. Menus should be planned to optimize intakes of those nutrients that are low in an MVM, such as calcium, magnesium, and potassium. A MVM supplement should be provided to fill the gap for nutrients not provided in sufficient amounts by the diet, such as vitamin E and vitamin D. ^

Development and evaluation of a geographic information system based method to estimate flooding susceptibility in an area of Broward County, Florida

The objective of this study was to develop a GIS-based multi-class index overlay model to determine areas susceptible to inland flooding during extreme precipitation events in Broward County, Florida. Data layers used in the method include Airborne Laser Terrain Mapper (ALTM) elevation data, excess precipitation depth determined through performing a Soil Conservation Service (SCS) Curve Number (CN) analysis, and the slope of the terrain. The method includes a calibration procedure that uses "weights and scores" criteria obtained from Hurricane Irene (1999) records, a reported 100-year precipitation event, Doppler radar data and documented flooding locations. Results are displayed in maps of Eastern Broward County depicting types of flooding scenarios for a 100-year, 24-hour storm based on the soil saturation conditions. As expected the results of the multi-class index overlay analysis showed that an increase for the potential of inland flooding could be expected when a higher antecedent moisture condition is experienced. The proposed method proves to have some potential as a predictive tool for flooding susceptibility based on a relatively simple approach.

Litter basket installed in a mangrove forest to estimate litterfall productivity, Shark River Slough

This material is based upon work supported by the National Science Foundation through the Florida Coastal Everglades Long-Term Ecological Research program under Cooperative Agreements #DBI-0620409 and #DEB-9910514. This image is made available for non-commercial or educational use only.