Predictive validity of the personal background and preparation survey and effectiveness of targeted interventions among health science community college students

Existing data, collected from 1st-year students enrolled in a major Health Science Community College in the south central United States, for Fall 2010, Spring 2011, Fall 2011 and Spring 2012 semesters as part of the "Online Navigational Assessment Vehicle, Intervention Guidance, and Targeting of Risks (NAVIGATOR) for Undergraduate Minority Student Success" with CPHS approval number HSC-GEN-07-0158, was used for this thesis. The Personal Background and Preparation Survey (PBPS) and a two-question risk self-assessment subscale were administered to students during their 1st-year orientation. The PBPS total risk score, risk self-assessment total and overall scores, and Under Representative Minority Student (URMS) status were recorded. The purpose of this study is to evaluate and report the predictive validity of the indicators identified above for Adverse Academic Status Events (AASE) and Nonadvancement Adverse Academic Status Events (NAASE) as well as the effectiveness of interventions targeted using the PBPS among a diverse population of health science community college students. The predictive validity of the PBPS for AASE has previously been demonstrated among health science professions and graduate students (Johnson, Johnson, Kim, & McKee, 2009a; Johnson, Johnson, McKee, & Kim, 2009b). Data will be analyzed using binary logistic regression and correlation using SPSS 19 statistical package. Independent variables will include baseline- versus intervention-year treatments, PBPS, risk self-assessment, and URMS status. The dependent variables will be binary AASE and NAASE status. ^ The PBPS was the first reliable diagnostic and prescriptive instrument to establish documented predictive validity for student Adverse Academic Status Events (AASE) among students attending health science professional schools. These results extend the documented validity for the PBPS in predicting AASE to a health science community college student population. Results further demonstrated that interventions introduced using the PBPS were followed by approximately one-third reduction in the odds of Nonadvancement Adverse Academic Status Events (NAASE), controlling for URMS status and risk self-assessment scores. These results indicate interventions introduced using the PBPS may have potential to reduce AASE or attrition among URMS and nonURMS attending health science community colleges on a broader scale; positively impacting costs, shortages, and diversity of health science professionals.^

Evaluación de conductas adictivas en personal médico y no médico en un hospital de agudos : estudio comparativo

Objetivo: Identificar abuso, dependencia, adicciones (tabaquismo, problemas con alcohol y alimentación) y automedicación en el personal de la salud de un Hospital de agudos.- Material y Métodos: Estudio protocolizado y observacional mediante. encuesta estructurada, autoadministrada y anónima. Se realizó el análisis en 4 grupos: Médicos (M) (MS: Staff y MF: en formación), NO M: enfermeros (E) y otros (O: administración, laboratorio, farmacia, servicios generales). Se realizó un estudio comparativo con una población encuestada en el año 2004. Resultados: Se incluyeron 373 personas: 195 M (73 MS y 122 MF), 83 E y 92 O; 225 mujeres (60,3%); edad promedio grupal: 36.1 años (DS± 9.98). El 77.5% con pareja estable, el 98.1% heterosexuales y 67,3% universitarios. El 67.3% se automedicaba, el 35.1% eran tabaquistas activos; el 28.4% presentaba problemas con el alcohol y el 36.2% con la alimentación. El tabaquismo fue más frecuente entre 40-50 años (42,5%) y en E: 56.6%; MS: 21,9%; MF: 27% y O: 36.9%(p<0.05). Se incrementó la intención de abandonar el cigarrillo comparado con el año 2004 (74.6 vs 56.3%)(p<0.05). Los problemas con el alcohol fueron frecuentes entre 20 y 30 años (47.2%), en personas con pareja inestable (73.6%), sin diferencias entre los grupos y en 51.8% coexistía con tabaquismo. Los problemas de alimentación ocurrieron significativamente en MF (46,9%) comparados con MS (22.5%) (p<0.05). Se detectó automedicación en el 68.3 del Grupo O y en 48.1% del Grupo M (p<0.05). Al comparar la automedicación en las encuestas del año 2004 y 2007, se comprobó una reducción en E (87.8 vs 52.4%) y en O (77.5 vs 48.1%)(p<0.05).- Conclusiones: Se detectó elevada prevalencia de tabaquismo, problemas con el alcohol, alimentación y automedicación en todo el personal hospitalario. El tabaquismo predominó en enfermeros, los trastornos alimentarios en médicos en formación y el alcoholismo en solteros con pareja inestable.

Clustering techniques for patients suffering acquired brain injury inneuro personal trainer

The study of the effectiveness of the cognitive rehabilitation processes and the identification of cognitive profiles, in order to define comparable populations, is a controversial area, but concurrently it is strongly needed in order to improve therapies. There is limited evidence about cognitive rehabilitation efficacy. Many of the trials conclude that in spite of an apparent clinical good response, differences do not show statistical significance. The common feature in all these trials is heterogeneity among populations. In this situation, observational studies on very well controlled cohort of studies, together with innovative methods in knowledge extraction, could provide methodological insights for the design of more accurate comparative trials. Some correlation studies between neuropsychological tests and patients capacities have been carried out -1---2- and also correlation between tests and morphological changes in the brain -3-. The procedures efficacy depends on three main factors: the affectation profile, the scheduled tasks and the execution results. The relationship between them makes up the cognitive rehabilitation as a discipline, but its structure is not properly defined. In this work we present a clustering method used in Neuro Personal Trainer (NPT) to group patients into cognitive profiles using data mining techniques. The system uses these clusters to personalize treatments, using the patients assigned cluster to select which tasks are more suitable for its concrete needs, by comparing the results obtained in the past by patients with the same profile.

Estudio de las posibilidades de los datos abiertos enlazados (Linked Open Data) para la realización de mashups de ámbito geográfico.

La web ha sufrido una drástica transformación en los últimos años, debido principalmente a su popularización y a la enorme cantidad de información que alberga. Debido a estos factores se ha dado el salto de la denominada Web de Documentos, a la Web Semántica, donde toda la información está relacionada con otra. Las principales ventajas de la información enlazada estriban en la facilidad de reutilización, accesibilidad y disponibilidad para ser encontrada por el usuario. En este trabajo se pretende poner de manifiesto la utilidad de los datos enlazados aplicados al ámbito geográfico y mostrar como pueden ser empleados hoy en día. Para ello se han explotado datos enlazados de carácter espacial provenientes de diferentes fuentes, a través de servidores externos o endpoints SPARQL. Además de eso se ha trabajado con un servidor privado capaz de proporcionar información enlazada almacenada en un equipo personal. La explotación de información enlazada se ha implementado en una aplicación web en lenguaje JavaScript, tratando de abstraer totalmente al usuario del tratamiento de los datos a nivel interno de la aplicación. Esta aplicación cuenta además con algunos módulos y opciones capaces de interactuar con las consultas realizadas a los servidores, consiguiendo un entorno más intuitivo y agradable para el usuario. ABSTRACT: In recent years the web has suffered a drastic transformation because of the popularization and the huge amount of stored information. Due to these factors it has gone from Documents web to Semantic web, where the data are linked. The main advantages of Linked Data lie in the ease of his reuse, accessibility and availability to be located by users. The aim of this research is to highlight the usefulness of the geographic linked data and show how can be used at present time. To get this, the spatial linked data coming from several sources have been managed through external servers or also called endpoints. Besides, it has been worked with a private server able to provide linked data stored in a personal computer. The use of linked data has been implemented in a JavaScript web application, trying completely to abstract the internally data treatment of the application to make the user ignore it. This application has some modules and options that are able to interact with the queries made to the servers, getting a more intuitive and kind environment for users.

Integration of multisensor hybrid reasoners to support personal autonomy in the smart home.

The deployment of the Ambient Intelligence (AmI) paradigm requires designing and integrating user-centered smart environments to assist people in their daily life activities. This research paper details an integration and validation of multiple heterogeneous sensors with hybrid reasoners that support decision making in order to monitor personal and environmental data at a smart home in a private way. The results innovate on knowledge-based platforms, distributed sensors, connected objects, accessibility and authentication methods to promote independent living for elderly people. TALISMAN+, the AmI framework deployed, integrates four subsystems in the smart home: (i) a mobile biomedical telemonitoring platform to provide elderly patients with continuous disease management; (ii) an integration middleware that allows context capture from heterogeneous sensors to program environment¿s reaction; (iii) a vision system for intelligent monitoring of daily activities in the home; and (iv) an ontologies-based integrated reasoning platform to trigger local actions and manage private information in the smart home. The framework was integrated in two real running environments, the UPM Accessible Digital Home and MetalTIC house, and successfully validated by five experts in home care, elderly people and personal autonomy.

p-medicine: a medical informatics platform for integrated large scale heterogeneous patient data

Secure access to patient data is becoming of increasing importance, as medical informatics grows in significance, to both assist with population health studies, and patient specific medicine in support of treatment. However, assembling the many different types of data emanating from the clinic is in itself a difficulty, and doing so across national borders compounds the problem. In this paper we present our solution: an easy to use distributed informatics platform embedding a state of the art data warehouse incorporating a secure pseudonymisation system protecting access to personal healthcare data. Using this system, a whole range of patient derived data, from genomics to imaging to clinical records, can be assembled and linked, and then connected with analytics tools that help us to understand the data. Research performed in this environment will have immediate clinical impact for personalised patient healthcare.

Is Diversity Inclusiveness?" A Personal and Empirical Exploration"

While psychology recognizes and celebrates multicultural diversity connoting the inclusivity of all, it seems to ignore sociopolitical and religious diversity. Within contemporary multiculturalism, conservative voices are often found wanting. In this study, a "liberal" privilege survey was developed to examine the inclusion and limits of conservative ideology within the multicultural paradigm of psychology training programs and workplaces. It was hypothesized that mental health professionals who identified as more conservative would express more oppression of views/values in their workplace than individuals who did not identify as being conservative and those who identified as more liberal would express bias and concerns against those holding conservative views. Results did not support an overall generalization of conservative bias or intolerance, but did provide some evidence of discontent among individuals holding more conservative religious and sociopolitical values. Overall, findings reinforce the need for gathering more data on sociopolitical and religious variables within the context of multiculturalism and broadening the dialogue on diversity issues surrounding sociopolitical views and bias among colleagues and in training programs.

Open business intelligence: on the importance of data quality awareness in user-friendly data mining

Citizens demand more and more data for making decisions in their daily life. Therefore, mechanisms that allow citizens to understand and analyze linked open data (LOD) in a user-friendly manner are highly required. To this aim, the concept of Open Business Intelligence (OpenBI) is introduced in this position paper. OpenBI facilitates non-expert users to (i) analyze and visualize LOD, thus generating actionable information by means of reporting, OLAP analysis, dashboards or data mining; and to (ii) share the new acquired information as LOD to be reused by anyone. One of the most challenging issues of OpenBI is related to data mining, since non-experts (as citizens) need guidance during preprocessing and application of mining algorithms due to the complexity of the mining process and the low quality of the data sources. This is even worst when dealing with LOD, not only because of the different kind of links among data, but also because of its high dimensionality. As a consequence, in this position paper we advocate that data mining for OpenBI requires data quality-aware mechanisms for guiding non-expert users in obtaining and sharing the most reliable knowledge from the available LOD.

Cómo reacciona el personal de hotel cuando observa un trato (in)justo hacia los huéspedes

Este artículo sugiere que el personal de hotel ante un trato (in)justo del hotel hacia los clientes atribuye tal trato a la responsabilidad del hotel y, dependiendo que éste sea justo o injusto, aumentaría o disminuiría sus conductas orientadas al cliente (COBs). Los datos fueron recogidos mediante cuestionarios pasados a 204 empleados de ocho hoteles de lujo en las Islas Canarias (España). Para examinar las hipótesis se utilizaron modelos de ecuaciones estructurales (SEM). No así en el caso de percepciones de justicia distributiva, los resultados muestran que cuanta más justicia procedimental e interpersonal hacia los huéspedes perciban los empleados, más se implican en conductas orientadas al cliente (COBs). Los hallazgos sugieren la necesidad de prevenir episodios de maltrato a los huéspedes por parte del hotel, haciendo especial hincapié en aquellos que son visibles para los empleados, para promover así conductas orientadas al cliente (COBs). Hasta donde nosotros sabemos, este es el primer estudio empírico en donde la justicia organizativa (distributiva, procedimental e interpersonal) dirigida hacia los clientes y las conductas orientadas al cliente (COBs) de los empleados son examinadas conjuntamente en un mismo modelo.

Aproximación al servicio de asistencia personal y su implantación en España. Perfil del beneficiario de la prestación en Galicia

Introducción: El objetivo de esta investigación es conocer y estudiar el perfil de la persona beneficiaria de la prestación de asistencia personal, una de las prestaciones del Catálogo de servicios y prestaciones del Sistema para la Autonomía y Atención a la Dependencia. Material y métodos: Mediante un estudio observacional descriptivo de prevalencia, se persigue conocer el perfil de las personas beneficiarias de la prestación de asistencia personal y el grado de implantación de la misma. Resultados: Los datos nos muestran que la prestación económica de asistencia personal sigue siendo, dentro del catálogo de servicios y prestaciones del Sistema, una de las modalidades de atención de menor resolución en Galicia y en el conjunto del Estado. Discusión: La figura de asistente personal no ha conseguido establecerse, hasta el momento, como un servicio de referencia para las personas con diversidad funcional. En el presente trabajo identificamos una serie de factores que entendemos dificultan el desarrollo de esta prestación y la implantación efectiva de la misma.

Efficient Mitigation of Data and Control Flow Errors in Microprocessors

The use of microprocessor-based systems is gaining importance in application domains where safety is a must. For this reason, there is a growing concern about the mitigation of SEU and SET effects. This paper presents a new hybrid technique aimed to protect both the data and the control-flow of embedded applications running on microprocessors. On one hand, the approach is based on software redundancy techniques for correcting errors produced in the data. On the other hand, control-flow errors can be detected by reusing the on-chip debug interface, existing in most modern microprocessors. Experimental results show an important increase in the system reliability even superior to two orders of magnitude, in terms of mitigation of both SEUs and SETs. Furthermore, the overheads incurred by our technique can be perfectly assumable in low-cost systems.

A Simple RVoG Test for PolInSAR Data

In this paper, we present a simple algorithm for assessing the validity of the RVoG model for PolInSAR-based inversion techniques. This approach makes use of two important features characterizing a homogeneous random volume over a ground surface, i.e., the independence on polarization states of wave propagation through the volume and the structure of the polarimetric interferometric coherency matrix. These two features have led to two different methods proposed in the literature for retrieving the topographic phase within natural covers, i.e., the well-known line fitting procedure and the observation of the (1, 2) element of the polarimetric interferometric coherency matrix. We show that differences between outputs from both approaches can be interpreted in terms of the PolInSAR modeling based on the Freeman-Durden concept, and this leads to the definition of a RVoG/non-RVoG test. The algorithm is tested with both indoor and airborne data over agricultural and tropical forest areas.

Contribution to Real-Time Estimation of Crop Phenological States in a Dynamical Framework Based on NDVI Time Series: Data Fusion With SAR and Temperature

In this study, a methodology based in a dynamical framework is proposed to incorporate additional sources of information to normalized difference vegetation index (NDVI) time series of agricultural observations for a phenological state estimation application. The proposed implementation is based on the particle filter (PF) scheme that is able to integrate multiple sources of data. Moreover, the dynamics-led design is able to conduct real-time (online) estimations, i.e., without requiring to wait until the end of the campaign. The evaluation of the algorithm is performed by estimating the phenological states over a set of rice fields in Seville (SW, Spain). A Landsat-5/7 NDVI series of images is complemented with two distinct sources of information: SAR images from the TerraSAR-X satellite and air temperature information from a ground-based station. An improvement in the overall estimation accuracy is obtained, especially when the time series of NDVI data is incomplete. Evaluations on the sensitivity to different development intervals and on the mitigation of discontinuities of the time series are also addressed in this work, demonstrating the benefits of this data fusion approach based on the dynamic systems.

1990 Nationwide Personal Transportation Survey: user's guide to the public use tapes.

Federal Highway Administration, Washington, D.C.

Music Notes: Exploring Music Listening Data as a Visual Representation of Self

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