Web-based report generators, data visualization, and Web-to-database connectivity

Because some Web users will be able to design a template to visualize information from scratch, while other users need to automatically visualize information by changing some parameters, providing different levels of customization of the information is a desirable goal. Our system allows the automatic generation of visualizations given the semantics of the data, and the static or pre-specified visualization by creating an interface language. We address information visualization taking into consideration the Web, where the presentation of the retrieved information is a challenge. ^ We provide a model to narrow the gap between the user's way of expressing queries and database manipulation languages (SQL) without changing the system itself thus improving the query specification process. We develop a Web interface model that is integrated with the HTML language to create a powerful language that facilitates the construction of Web-based database reports. ^ As opposed to other papers, this model offers a new way of exploring databases focusing on providing Web connectivity to databases with minimal or no result buffering, formatting, or extra programming. We describe how to easily connect the database to the Web. In addition, we offer an enhanced way on viewing and exploring the contents of a database, allowing users to customize their views depending on the contents and the structure of the data. Current database front-ends typically attempt to display the database objects in a flat view making it difficult for users to grasp the contents and the structure of their result. Our model narrows the gap between databases and the Web. ^ The overall objective of this research is to construct a model that accesses different databases easily across the net and generates SQL, forms, and reports across all platforms without requiring the developer to code a complex application. This increases the speed of development. In addition, using only the Web browsers, the end-user can retrieve data from databases remotely to make necessary modifications and manipulations of data using the Web formatted forms and reports, independent of the platform, without having to open different applications, or learn to use anything but their Web browser. We introduce a strategic method to generate and construct SQL queries, enabling inexperienced users that are not well exposed to the SQL world to build syntactically and semantically a valid SQL query and to understand the retrieved data. The generated SQL query will be validated against the database schema to ensure harmless and efficient SQL execution. (Abstract shortened by UMI.)^

Comparative analysis of a moderating and mediating model of stress, appraisal, and coping in Hispanic and non-Hispanic Alzheimer's disease caregivers

This dissertation utilizes a cross-sectional study to examine the phenomenon of caregiving within a theoretically grounded stress, appraisal, and coping model. Hispanic and non-Hispanic caregivers were studied to examine the factors associated with variance in caregiver appraisal, coping, and outcomes of caregiving strain (depression and somatic complaints) and caregiving gain (life satisfaction, mastery, and personal gain). A purposive sampling strategy was used to recruit 204 Alzheimer's disease caregivers in South Florida. A self-report questionnaire was used to collect demographic data, and to measure stress, appraisal, coping, and psychological well-being of caregivers. Regression equations were developed to compare moderating and mediating models of appraisal and coping. Emotion-focused coping skills were found to significantly moderate the effects of stress (F [1,195] = 4.62, p < .05), explaining approximately 21% of the variance in satisfaction was found to moderate the effects of stress (F [1,195] = 7.09; p < .05), explaining approximately 27% of the variance in personal gain and approximately 8% of the variance in life satisfaction (F [1,195] = 4.14; p < .05). Appraisal of Burden was found to significantly mediate the effects of stress, explaining approximately 30% of the variance in somatic complaints (F [1,196] = 31.60; p < .001) and 32% of the variance in depression (F [1,196] = 38.18; p < .001). The results of the analyses indicate that appraisal and coping skills are important variables in the stress process. The results of this study underscore the importance of accounting for positive and negative outcomes in providing a fuller understanding of the stress, appraisal and coping process of Alzheimer's Disease caregivers. ^

Exploring Employee Engagement Among Three Non-Salaried Employees: A Phenomenological Study

This exploratory empirical phenomological study looks at employee engagement using Kahn (1990) and Maslow’s (1970) motivational theories to understand the experience of non-salaried employees. This study finds four themes that seem to affect employee engagement: work environment, employee’s supervisor, individual characteristics of the employee, and opportunity for learning.

Rewarding Non-productivity In the Hospitality Industry

The industry has not clearly focused on many important problems, such as rewarding service workers based on productivity. Instead, many industry leaders have focused on "straw men issues," issues that are more rhetoric than substance. The authors examine some of these so-called is- sues in detail: governmental wage policies, immigration laws, the quality of the work force, service worker training, and gratuity management, to provide a fresh look at worker productivity beyond the rhetoric and myths that prevail

Racioethnic Diversity on the Web: A Lost Opportunity

The authors report the generally poor results attained when the NAACP assessed the diversity management performance of 16 major hotel companies. Then, as an alternative means of assessing the same hotel companies’ commitment to diversity, they report the results of an analysis of the world-wide web pages the companies use to represent themselves in the electronic marketplace. Analysis of the web sites found virtually no evidence of corporate concern for diversity.

Factors associated with critical care nurses' communication with non-communicative patients in the ICU

Hospitalized individuals are isolated from their familiar environment at the onset of illness. Those individuals who are non-communicative are detached from the world and from life, as they previously knew it. Although nurses have long since recognized the importance of communication, patients still report the lack of iy. This study was done to identify factors influencing critical care nurses to communicate with their noncommunicative patients. The overall results of the study indicate that nurses are aware of the importance of verbal communication with patients who may be intubated, paralyzed, unconscious, comatose or neurologically impaired and are not deterred by them. Despite these results, some significant observations emerged identified. CCRN certified nurses and nurses with more years of experience were less likely to have verbal communication with noncommunicative patients. Nurses with children, spouses and those working full-time were more likely to communicate with non-communicative patients.

Estimation of average annual daily traffic (AADT) using geographically weighted regression (GWR) method and geographic information system (GIS)

Annual average daily traffic (AADT) is important information for many transportation planning, design, operation, and maintenance activities, as well as for the allocation of highway funds. Many studies have attempted AADT estimation using factor approach, regression analysis, time series, and artificial neural networks. However, these methods are unable to account for spatially variable influence of independent variables on the dependent variable even though it is well known that to many transportation problems, including AADT estimation, spatial context is important. ^ In this study, applications of geographically weighted regression (GWR) methods to estimating AADT were investigated. The GWR based methods considered the influence of correlations among the variables over space and the spatially non-stationarity of the variables. A GWR model allows different relationships between the dependent and independent variables to exist at different points in space. In other words, model parameters vary from location to location and the locally linear regression parameters at a point are affected more by observations near that point than observations further away. ^ The study area was Broward County, Florida. Broward County lies on the Atlantic coast between Palm Beach and Miami-Dade counties. In this study, a total of 67 variables were considered as potential AADT predictors, and six variables (lanes, speed, regional accessibility, direct access, density of roadway length, and density of seasonal household) were selected to develop the models. ^ To investigate the predictive powers of various AADT predictors over the space, the statistics including local r-square, local parameter estimates, and local errors were examined and mapped. The local variations in relationships among parameters were investigated, measured, and mapped to assess the usefulness of GWR methods. ^ The results indicated that the GWR models were able to better explain the variation in the data and to predict AADT with smaller errors than the ordinary linear regression models for the same dataset. Additionally, GWR was able to model the spatial non-stationarity in the data, i.e., the spatially varying relationship between AADT and predictors, which cannot be modeled in ordinary linear regression. ^

The effect of cross -age tutoring routines on the tutor's perception of self as reader

Perception of self as a non-reader has been identified as one of the factors why poor readers disengage from the reading process (Strang, 1967; Rosow, 1992), thus impeding progress. Perception and informational processes influence judgments of personal efficacy (Bandura, 1997). The student's sense of reading efficacy that influence effort expenditure and ultimately achievement, is often overlooked (Athey, 1985; Pajares, 1996). Academic routines within educational programs are implemented without adequate information on whether routines promote or impede efficacy growth. Cross-age tutoring, a process known to improve participants' academic achievement, motivation, and provide opportunities for authentic reading practice, has been successfully incorporated into reading instruction designs (Allen, 1976; Cohen, Kulik & Kulik, 1982; Labbo & Teale, 1990; Riessman, 1993). This study investigated the impact teacher-designed routines within a cross-age tutoring model, have on the tutor's sense of reading self-efficacy. ^ The Reader Self-Perception Scale (Henk & Melnick, 1992) was administered, pre- and post-treatment, to 118 fifth grade students. Preceding the initial survey administration intact classes were randomly assigned to 1 of 3 commonly utilized cross-age tutoring routines or designated as the non-treatment population. The data derived from the Reader Self-Perception Scale was analyzed using an analysis of covariance (ANCOVA). Results indicated that participation as a cross-age tutor does not significantly increase the tutor's perception of self as reader in 1 or more of the 4 modes of information influencing self-efficacy as compared to the non-treatment group. ^ The results of this study suggests that although a weekly tutoring session that delivers educationally credible routines impacts achievement and motivation, efficacy effect was not evident. Possible explanation and recommendations for future studies are proposed. ^

Flexible pavement layer moduli determination : an adaptive artificial neural network approach

The estimation of pavement layer moduli through the use of an artificial neural network is a new concept which provides a less strenuous strategy for backcalculation procedures. Artificial Neural Networks are biologically inspired models of the human nervous system. They are specifically designed to carry out a mapping characteristic. This study demonstrates how an artificial neural network uses non-destructive pavement test data in determining flexible pavement layer moduli. The input parameters include plate loadings, corresponding sensor deflections, temperature of pavement surface, pavement layer thicknesses and independently deduced pavement layer moduli.

Ethnicity and reaccumulation : an ecological analysis

This study looks at the process of reaccumulation of resources in Miami following Hurricane Andrew. Emphasis is on differences between four major ethnic groups: Anglos, African- Americans, Cubans and non-Cuban Hispanics. Secondary data is used to analyze measures of housing recovery on a census block group level. Results indicate that, while there are ethnic consequences on a block groups level, support for enclave hypotheses are equivocal.