73 research outputs found
Efficacy of gel containing organic extra virgin olive oil for peristomal skin hygiene: A pilot randomised controlled trial
Aim: To assess the efficacy and safety of the application, during stoma hygiene, of a pH-neutral gel containing
organic EVOO (oEVOO) for the maintenance of peristomal skin integrity.
Method: Patients with a colostomy or ileostomy were enrolled in a pilot randomized controlled trial and assigned
treatment with a pH-neutral gel made from natural products including oEVOO or usual stoma hygiene gel. The
primary outcome was three domains of abnormal peristomal skin: Discolouration, Erosion and Tissue overgrowth.
Secondary outcomes that were evaluated included skin moisture; oiliness; skin elasticity; water-oil
balance; patients’ perceptions; difficulty inserting and removing the pouching system; pain, any other chemical,
infectious, mechanical, or immunological complications of concern. The intervention lasted 8 weeks.
Results: Twenty-one patients were recruited for the trial and randomly assigned to either the experimental group
(n = 12) or the control group (n = 9). The groups did not differ significantly in terms of patient characteristics.
No significant differences between groups were identified either at baseline (p = 0.203) or at the end of the
intervention (p = 0.397). In the experimental group, domains of abnormal peristomal skin improved after the
intervention. The difference observed before and after the intervention was statistically significant (p = 0.031).
Conclusion: The use of a gel containing oEVOO has shown similar levels of efficacy and safety to other gels
commonly used for peristomal skin hygiene. It is also relevant to highlight that a significant improvement in skin
condition was observed in the experimental group before and after the intervention.Department of Nursing, University of
Granada, Spain
Questionnaire for the assessment of factors related to university degree choice in Spanish public system: A psychometric study
Universities are interested in attracting students, but they do not usually have data relating to students
intentions. Furthermore, both general and subjective factors are taken into account by students when
choosing a degree and a university. This paper presents a psychometric study of a questionnaire which
aims to assess variables relating the aspects involved in the selection process and accessing the Spanish
university system. This questionnaire considers six factors: Consideration of the University; Perceived
Usefulness; Social Impact; Vocational Aspects; Influence of Surroundings and Geographic Location. The
item analysis (discrimination index) reduced the questionnaire to 25 items, and the reliability and
validity of this final questionnaire was analyzed using a sample of 1532 students from eight Spanish
universities. The results showed that the reliability as internal consistency of the six factors was high;
the construct validity showed a structure of six first order factors clustered in two second order factors
and finally, there was high discriminant validity between groups defined by variables such as gender or
academic area. Applying predictive analytics to the results of this questionnaire will then enable specific
recruiting policies to be applied, which target the type of students that universities are looking for, while
reducing costs.This work forms part of the project entitled "A Longitudinal Model Impact Assessment of Variables Involved in selecting Studies and University. Academic achievement in high school and university entrance exam, as predictors of initial performance at University", financed by the ICE at the University of Barcelona in the Redice 2012, with Code Number 1641-01. The translation of this paper was funded by the Universitat Politecnica de Valencia, SpainPeró, M.; Soriano Jiménez, PP.; Capilla Lladró, R.; Guàrdia I Olmos, J.; Hervás, A. (2015). Questionnaire for the assessment of factors related to university degree choice in Spanish public system: A psychometric study. Computers in Human Behavior. 47:128-138. doi:10.1016/j.chb.2014.09.003S1281384
Questionnaire for the assessment of factors related to university degree choice in Spanish públic System: a psychometric study
Universities are interested in attracting students, but they do not usually have data relating to students' intentions. Furthermore, both general and subjective factors are taken into account by students when choosing a degree and a university. This paper presents a psychometric study of a questionnaire which aims to assess variables relating the aspects involved in the selection process and accessing the Spanish university system. This questionnaire considers six factors: Consideration of the University; Perceived Usefulness; Social Impact; Vocational Aspects; Influence of Surroundings and Geographic Location. The item analysis (discrimination index) reduced the questionnaire to 25 items, and the reliability and validity of this final questionnaire was analyzed using a sample of 1532 students from eight Spanish universities. The results showed that the reliability as internal consistency of the six factors was high; the construct validity showed a structure of six first order factors clustered in two second order factors and finally, there was high discriminant validity between groups defined by variables such as gender or academic area. Applying predictive analytics to the results of this questionnaire will then enable specific recruiting policies to be applied, which target the type of students that universities are looking for, while reducing costs
Psychometric study of a questionnaire for the assessment of factors associated with the choice of degrees and universities in the Spanish public system
© ACM 2013. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in TEEM '13 Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality. http://dx.doi.org/10.1145/2536536.2536577Many different factors are taken into account by students when
choosing a degree and University. Some of these are general
considerations, such as the quality of the degree course, ratio of
available places and places in the degree course chosen as first
choice, cut-off mark, etc. Others are subjective factors, such as
friends studying the same degree or studying in the same
university, etc. Knowledge of these factors and the importance
given to them by students can provide a competitive advantage
when carrying out activities aimed at advertising and attracting
students. This paper presents a psychometric study of a
questionnaire that has been developed to assess variables relating
to social and personal aspects involved in the selection process
and accessing the Spanish public university system. The
questionnaire was evaluated by means of a pilot test, the results of
which were used to generate a final scale, which was administered
to a total of 1532 students from eight Spanish universities. These
students can be divided into six major areas of training and
courses from 2009-10 up to 2012-2013. All the students had
recently graduated from high school and were in their first year at
the university. The results showed that the reliability of the both
the six factors taken into consideration (Consideration of the
University; Perceived Utility; Social Impact; Vocational Aspects;
Influence of Surroundings and Geographic Location) and an
adjustment of the Confirmatory Factor Analysis used to estimate
construct validity was high. Likewise, the results show high
discrimination validity between groups defined by relevant
variables such as gender or academic area of the university
studies.This work forms part of the project entitled "A Longitudinal Model Impact Assessment of Variables Involved in selecting Studies and University. Academic achievement in high school, and university entrance exam, as predictors of initial performance at University ", financed by the ICE at the University of Barcelona in the Redice 2012, with Code Number 1641-01. The translation of this paper was funded by the Universitat Politècnica de València, Spain.Hervás Jorge, A.; Guàrdia I Olmos, J.; Peró, M.; Soriano Jiménez, PP.; Capilla Lladró, R. (2013). Psychometric study of a questionnaire for the assessment of factors associated with the choice of degrees and universities in the Spanish public system. ACM. https://doi.org/10.1145/2536536.2536577
Modelling the Process to Access the Spanish Public University System Based on Structural Equation Models
[EN] Currently, one of the challenges of universities is attracting talent in students, researchers, and teachers. The transition from high school to college requires a student to take a succession of decisions that will shape their future. For this reason, knowledge of the motivations of the students, their family, and their personal environment, to choose a particular degree and/or university to pursue their higher studies, would allow universities to efficiently adjust their recruitment strategies. In this article, a study was developed based on a structural equation model of the access to the Spanish Public University System (SUPE), which can help with supply and demand problems, recruitment actions and policies, and other strategic decisions. This was done through an extensive survey of first-year students of Spanish universities. The results allowed us to obtain the parameters of the model, which showed that the fit between the model and the data obtained were excellent at a global level and acceptable as well in all knowledge areas. The objective of the structural model was to provide a general view of the behavior of the students when deciding the degree and university in which they are going to study, and can help in the decision making of university leaders and to understand some behaviors of the Spanish Public University System.This work was funded by the Project "Complex Networks" from the Instituto Universitario de Matematica Multidisciplinar (IUMM) of the Universitat Politecnica de Valencia (UPV) [grant number (266500194) 20170251-Complex-Networks-UPV].Hervás, A.; Soriano Jiménez, PP.; Guardia, J.; Peró, M.; Capilla Lladró, R.; Montañana Aliaga, JM. (2020). Modelling the Process to Access the Spanish Public University System Based on Structural Equation Models. Mathematical and Computational Applications (Online). 25(2):1-15. https://doi.org/10.3390/mca25020031S115252Romero, C., & Ventura, S. (2007). Educational data mining: A survey from 1995 to 2005. Expert Systems with Applications, 33(1), 135-146. doi:10.1016/j.eswa.2006.04.005Perna, L. W., & Titus, M. A. (2004). Understanding Differences in the Choice of College Attended: The Role of State Public Policies. The Review of Higher Education, 27(4), 501-525. doi:10.1353/rhe.2004.0020Price, I., Matzdorf, F., Smith, L., & Agahi, H. (2003). The impact of facilities on student choice of university. Facilities, 21(10), 212-222. doi:10.1108/02632770310493580Maringe, F. (2006). University and course choice. International Journal of Educational Management, 20(6), 466-479. doi:10.1108/09513540610683711Parry, J., Mathers, J., Stevens, A., Parsons, A., Lilford, R., Spurgeon, P., & Thomas, H. (2006). Admissions processes for five year medical courses at English schools: review. BMJ, 332(7548), 1005-1009. doi:10.1136/bmj.38768.590174.55Intl Student Recruitment: Policies and Developments in Selected Countrieshttps://research.utwente.nl/en/publications/international-student-recruitment-policies-and-developments-in-seThe Chinese Education System Described and Compared with the Dutch Systemhttps://www.nuffic.nl/en/publications/education-system-china/Information about the Education System of South Korea and the Evaluation of Degrees Obtained in South Koreahttps://www.nuffic.nl/documents/491/education-system-south-korea.pdfThe American Education System Described and Compared with the Dutch Systemhttps://www.nuffic.nl/en/publications/education-system-united-states/Ford, D. Y. (1998). The Underrepresentation of Minority Students in Gifted Education. The Journal of Special Education, 32(1), 4-14. doi:10.1177/002246699803200102Leppel, K., Williams, M. L., & Waldauer, C. (2001). Journal of Family and Economic Issues, 22(4), 373-394. doi:10.1023/a:1012716828901Viernes Turner, C. S., & Thompson, J. R. (1993). Socializing Women Doctoral Students: Minority and Majority Experiences. The Review of Higher Education, 16(3), 355-370. doi:10.1353/rhe.1993.0017Huffman, A. H., Whetten, J., & Huffman, W. H. (2013). Using technology in higher education: The influence of gender roles on technology self-efficacy. Computers in Human Behavior, 29(4), 1779-1786. doi:10.1016/j.chb.2013.02.012Misran, N., Sahuri, S. N. S., Arsad, N., Hussain, H., Zaki, W. M. D. W., & Aziz, N. A. (2012). The Influence of Socio-Economic Status among Matriculation Students in Selecting University and Undergraduate Program. Procedia - Social and Behavioral Sciences, 56, 134-140. doi:10.1016/j.sbspro.2012.09.640Tinto, V. (2006). Research and Practice of Student Retention: What Next? Journal of College Student Retention: Research, Theory & Practice, 8(1), 1-19. doi:10.2190/4ynu-4tmb-22dj-an4wThe Spanish Education System Described and Compared with the Dutch Systemhttps://www.nuffic.nl/en/publications/education-system-spain/Plan de Captación de Estudianteshttp://www.ff.ulpgc.es/system/files/plan_captacion_estudiantes._2017-2018.pdfOrientación: Actividades para Secundariahttp://www.upv.es/contenidos/ORIENTA/info/794644normalc.htmlCampus Praktikum UPVhttp://www.upv.es/contenidos/PRAKTIKUM/Programa Valentinahttp://www.valentinas.upv.es/proyecto_valentina_upv.htmlMujer e Ingenieríahttp://www.raing.es/es/actividades/presentaci-n-del-proyecto-mujer-e-ingenierServicios de Información y Orientación Universitarioshttp://www.um.es/web/siou/inicioHervás, A., Guàrdia Olmos, J., Peró Cebollero, M., Capilla Lladró, R., & Soriano Jiménez, P. P. (2013). A Structural Equation Model for Analysis of Factors Associated with the Choice of Engineering Degrees in a Technical University. Abstract and Applied Analysis, 2013, 1-7. doi:10.1155/2013/368529Peró, M., Soriano, P. P., Capilla, R., Guàrdia i Olmos, J., & Hervás, A. (2015). Questionnaire for the assessment of factors related to university degree choice in Spanish public system: A psychometric study. Computers in Human Behavior, 47, 128-138. doi:10.1016/j.chb.2014.09.003Guàrdia Olmos, J., Peró Cebollero, M., Hervás Jorge, A., Capilla Lladró, R., Soriano Jiménez, P. P., & Porras Yañez, M. (2014). Factors related with the university degree selection in Spanish public university system. An structural equation model analysis. Quality & Quantity, 49(2), 541-557. doi:10.1007/s11135-014-0008-9Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. doi:10.1080/1070551990954011
Pvlearning: herramienta web para la enseñanza de la energía solar fotovoltaica
En este trabajo, se describe la web www.pvlearning.com, desarrollada en la Universidad de Alcalá para la enseñanza de la energía solar fotovoltaica. PVLEARNING asiste al alumno en la realización de tareas como la evaluación de la radiación solar disponible, la selección de los componentes del sistema, la configuración de éstos y la estimación del rendimiento global y la energía total producida. Frente a otros programas de simulación, la plataforma presenta la novedad de estar enfocada al aprendizaje de la ingeniería de proyectos, sin por ello perder todo el rigor y la funcionalidad necesarios en este tipo de simuladores.This work describes the web www.pvlearning.com, which has been developed at the Universidad de
Alcalá for photovoltaic solar energy teaching. PVLEARNING assists the student in tasks such as the
evaluation of the solar radiation, the selection of the system components, the configuration of the solar
generator and the estimation of the performance ratio, the final yield and the total energy production.
In contrast to other simulation programs, the platform has the novelty of being focused on the learning of
project engineering, without losing the accuracy and functionality which is required in this kind of simulator
Factores asociados con la decisión de cursar estudios universitarios de Psicología. Una aproximación mediante modelos de ecuaciones estructurales
Students take into account different factors in their choice of career and college. Some more global as the quality of the degree (sometimes estimated from the cut-off marks, etc.) and other more subjective (my friends also go to this degree). This paper presents the first multivariate model that accounts for the weight of the different variables and factors linked to the decision literature studies and college students do and applied for specific university degree in Psychology. These aspects have been studied in a sample of 872 psychology students of 2010-2011 course. All of them were feshmen and had chosen psychology as first choice. A Structural Equation Model was proposed as statistical approach. The fit indices GFI, AGFI, NFI, NNFI and CFI show values higher than 0.9 and value of RMSM was .003, indicating good model fit. It seems that the elements of the qualification (cut marks, availability, demands in first option) outweigh social and personal factors (recommendations from friends or parents, for example) and, therefore, the election system is based more in circumstantial aspects than in the variables related with the studen
THE VIRTUAL RECONSTRUCTION OF ARCHITECTURAL HERITAGE AND ITS METHODOLOGICAL APPLICATION
[EN] The virtual reconstruction of architectural heritage is a fundamentally theoretical work that can address the problem of physical intervention in ruinous groups of buildings. The advantage of this work methodology is to provide, in addition to graphical database, three-dimensional visualizations in a digital architectural model.The heritage management according to this system allows the realization of previous studies evaluating the feasibility of a future reconstruction project. The virtual nature of the method provides non-invasive theoretical results that allow an adequate disclosure.This paper, in addition to establishing the methodological framework, provides a practical example of application in the virtual recovery of Al-Munastir Castle.[ES] La reconstrucción virtual del patrimonio arquitectónico es una labor fundamentalmente teórica que permite abordar la problemática de la intervención física en conjuntos edilicios en ruinas. La ventaja de esta metodología de trabajo es la de aportar, además de bases de datos gráficas, visualizaciones tridimensionales en un modelo digital arquitectónico.La gestión del patrimonio por este sistema permite la realización de estudios previos que evalúen la viabilidad de un futuro proyecto de reconstrucción. El carácter virtual del medio proporciona resultados teóricos no invasivos que permitan la adecuada divulgación.En el presente artículo, además de establecer el marco metodológico, aporta un ejemplo práctico de aplicación sobre la recuperación virtual del Castillo de Al-Munastir.Piquer-Cases, JC.; Capilla-Tamborero, E.; Molina-Siles, P. (2015). La reconstrucción virtual del patrimonio arquitectónico y su aplicación metodológica. EGA. Revista de Expresión Gráfica Arquitectónica. 20(25):258-267. doi:10.4995/ega.2015.3674.SWORD258267202
Análisis de la relación entre el rendimiento académico y la nota de acceso para alumnos de primer curso en titulaciones técnicas
Analizar el rendimiento académico de los alumnos de una titulación universitaria es un proceso recurrente para los responsables académicos, especialmente con alumnos nuevos de primer curso. Los nuevos estudios de grado en el sistema universitario español incorporan el compromiso de la titulación en el cumplimiento de mínimos en algunos indicadores como tiempo de graduación, tasa de abandono y de eficiencia. Esto otorga al análisis del rendimiento académico una relevancia especial. Por otra parte se ha venido observando en los últimos años variaciones significativas en la demanda de las titulaciones, especialmente en las titulaciones técnicas, lo que se refleja en las variaciones de la nota de acceso y en el referente más visible, la nota de corte de la titulación. Estas variaciones son especialmente significativas en titulaciones de la rama TIC o del área agronómica. En este trabajo se realiza un estudio de la relación entre el rendimiento académico y la nota con la que accedieron los alumnos nuevos en primer curso de algunas titulaciones técnicas, extendiéndose a titulaciones de otras áreas. Se propone una clasificación de las titulaciones en función de la evolución temporal del rendimiento académico y de la demanda en primera opción: titulaciones exitosas, titulaciones en crisis, titulaciones en expansión y titulaciones amenazadas. Se analizarán casos tanto de titulaciones exitosas como de titulaciones en crisis. Los resultados muestran un efecto de relación clara y estadísticamente significativa entre el rendimiento y la nota de acceso, lo que pone de manifiesto un aumento de variabilidad en el rendimiento de los estudiantes relacionado con la variación de las notas de acceso, dando lugar a modelos de predicción cuyo estudio se desarrollará en posteriores trabajos. El método de análisis propuesto y los modelos que se desarrollan a partir de él, puede ayudar a los responsables universitarios en la toma de sus decisiones.Hervás Jorge, A.; Soriano Jiménez, PP.; Capilla Lladró, R. (2017). Análisis de la relación entre el rendimiento académico y la nota de acceso para alumnos de primer curso en titulaciones técnicas. http://hdl.handle.net/10251/8112
Simulador de gestión económico financiera en una empresa
Con el presente simulador se pretende mostrar de forma gráfica el movimiento de masas patrimoniales en una empresa a partir de diferentes operaciones realizadas; y cómo se plasman éstas en el balance de situación. La representación del balance consta de dos gráficos de barras, uno relativo al activo y el otro al pasivo, en los que se agruparán por masas los diferentes elementos que conforman el patrimonio de una empresa: Inmovilizado inmaterial, material y financiero, existencias, deudores y disponible; en cuanto al activo. Fondos propios, exigible a largo plazo y a corto; en cuanto al pasivo. Cada una de estas columnas tendrá un valor previamente definido, ya que se parte de una situación dada, e irán variando a medida que se realicen compras, ventas, gastos, así como todas las operaciones que puedan influir en la situación financiera de una empresa. Obteniendo a cierre de ejercicio una imagen fiel del patrimonio resultante
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