Satisfaction of clinical nurses with the formation of a university tutorial program

Degree in nursing from the Universitat Jaume I (UJI) maintains the continuity of learning with an integrated learning methodology (theory, simulated practice and clinical practice). The objective of this methodology is to achieve consistency between the knowledge, abilities and skills acquired in the classroom, laboratory and clinic to ensure skills related. Reference Nurse is a key figure in this process, you receive accredited training on Educational Methods, assessment of competence, and Evidence-Based Practice that plays the role of evaluating in conjunction with the subjects. It does not perceive economic remuneration. The main objective of this study is to determine the level of satisfaction of clinical nurses on the Nurses Training Program Reference in UJI (Castellon- Spain). A cross sectional study was performed and conducted on 150 nurses. 112 questionnaires were completed, collected and analysed at the end of training. The survey consists of 12 items measured with the Likert scale with 5 levels of response and two open questions regarding the positive and negative aspects of the course and to add in this formation. The training is always performed by the same faculty and it's used four sessions of 2012. We perform a quantitative analysis of the variables under study using measures of central tendency. The completion rate of the survey is 95.53% (n=107). Anonymity rate of 54,14% The overall satisfaction level of training was 3.65 (SD = 0.89) on 5 points. 54.2% (n = 58) of the reference nurses made a contribution in the open questions described in the overall results. The overall satisfaction level can be considered acceptable. It is considered necessary to elaborate a specific survey to detect areas of improvement of nurse training program reference and future recruitment strategies. The main objective of the present work is the selection and integration of different methodologies among those applicable within the framework of the European Higher Education Area to combine teaching methods with high implication from both lecturers and students.

Uso de Facebook como completo docente

Las redes sociales son comunidades de personas que comparten algún tipo de interés. Las redes sociales online permiten a los individuos construir un perfil público o semi-público en un sistema delimitado, articular una lista de usuarios con los que se tiene conexión y ver y cruzar su lista de conexiones con otras hechas por distintos individuos del sistema. El uso de las redes sociales online ha crecido vertiginosamente en los últimos años, y los jóvenes son los principales protagonistas de esta tendencia. Inmersos y educados y criados en medio de la tecnología, la nueva generación de estudiantes son nativos digitales. Los profesores, en cambio, somos inmigrantes digitales, pero tenemos la responsabilidad de convertir una tecnología que puede ser una distracción en una herramienta de enseñanza. El objetivo del presente trabajo es mostrar nuestra experiencia docente, en las asignaturas de grado de Dirección de Recursos Humanos, en la Universidad de Alicante, con la red social Facebook, obteniendo conclusiones y recomendaciones para mejorar el uso de redes sociales en la enseñanza universitaria.

Aprendizaje de imágenes histológicas utilizando un microscopio virtual: metodología y opinión de los alumnos

El concepto de tejido es un constructo teorético muy útil para aprender a conocer las estructuras microscópicas del organismo y para diagnosticar, de forma objetiva, la mayoría de las lesiones, a través de imágenes histológicas (IH). Tradicionalmente, aprender a interpretar IH se basa en su observación repetitiva y monótona. Esto y la consideración de la Histología como una disciplina meramente descriptiva, ha determinado su escasa relevancia y su alto nivel de olvido para los alumnos, como ha sido puesto de relieve en varias publicaciones. Los recursos digitales han facilitado, de forma sustancial, el aprendizaje de la Histología, aunque todavía sigue basándose en la observación iterativa y monótona de IH. Para facilitar y mejorar dicho aprendizaje hemos creando y publicado una clasificación y sistematización de las IH. En este trabajo presentamos la combinación de la sistematización de las IH con el uso de un microscopio virtual accesible a todos los alumnos en cualquier lugar y momento (tablets, smartphones, ordenadores de mesa, portátiles, etc.). La evaluación de esta metodología, mediante una encuesta, pone de manifiesto su alto grado de aceptación por los alumnos y sus enormes posibilidades para un aprendizaje, a la vez, autónomo y colaborativo.

Uso de Redes Sociales en asignaturas de Grado de Dirección de Recursos Humanos

El uso de las redes sociales online ha crecido vertiginosamente en los últimos años, y los jóvenes son los principales protagonistas de esta tendencia. Inmersos y educados y criados en medio de la tecnología, la nueva generación de estudiantes son nativos digitales. Los profesores, en cambio, somos inmigrantes digitales, pero tenemos la responsabilidad de convertir una tecnología que puede ser una distracción en una herramienta de enseñanza. Facebook es un ejemplo de tecnología Web 2.0 que tiene un enorme potencial en el campo de la educación, aunque no fue creada para construir o manejar experiencias de aprendizaje. Opera en una plataforma abierta, a diferencia de otros sistemas organizados alrededor de cursos estructurados formalmente. De hecho, aunque Facebook no es un entorno de aprendizaje, puede servir como un soporte muy valioso para las nuevas orientaciones sociales que aparecen ahora en los procesos educativos. El objetivo del presente trabajo es mostrar nuestra experiencia docente, en las asignaturas de grado de Dirección de Recursos Humanos, en la Universidad de Alicante, con la red social Facebook, obteniendo conclusiones y recomendaciones para mejorar el uso de redes sociales en la enseñanza universitaria.

Construction of Structures I in Moodle: a new teaching methodology in the Degree of Building Engineer

The subject of Construction of Structures I studies, from a constructive point of view and taking into account current legislation, reinforced concrete structures used in buildings, through the acquisition of knowledge and construction criteria required in the profession of a Technical Architect. The contents acquired in this course are essential for further professional development of technicians and are closely related to many of the subjects taught in the same or other courses of the Degree in Technical Architecture at the University of Alicante. The aim of this paper is to present, analyze and discuss the development of a new methodology proposed in the mentioned subject, as it supposed an important change in the traditional way of teaching Construction and Structures I. In order to incorporate new teaching tools in 2013-2014, the course has been implemented by using a Moodle software tool to promote blended learning with online exercises. Our Moodle community allows collaborative work within an open-source platform where teachers and students share a new and personalized learning environment. Students are easily used to the interface and the platform, value the constant connection with teachers or other fellows and completely agree with the possibility of making questions or share documents 24 hours a day. The proposed methodology consists of lectures and practical classes. In the lectures, the basics of each topic are discussed; class attendance, daily study and conducting scheduled exercises are indispensable. Practical classes allow to consolidate the knowledge gained in theory classes by solving professional exercises and actual construction problems related to structures, that shall be compulsorily delivered online. So, after the correction of the teacher and the subsequent feedback of students, practical exercises ensure lifelong learning of the student, who can download any kind of material at any time (constructive details, practical exercises and even corrected exams). Regarding the general evaluation system, goals achievement is assessed on an ongoing basis (65% of the final mark) along the course through written and graphic evidences in person and online, as well as a individual development of a workbook. In all cases, the acquisition of skills, the ability to synthesize, the capacity of logical and critical thinking are assessed. The other 35 % of the mark is evaluated by a complementary graphic exam. Participation in the computing platform is essential and the student is required to do and present, at least 90% of the practices proposed. Those who do not comply with the practices in each specific date could not be assessed continuously and may only choose the final exam. In conclusion, the subject of Construction of Structures I is essential in the development of the regulated profession of Technical Architect as they are considered, among other professional profiles, as specialists in construction of building structures. The use of a new communication platform and online teaching allows the acquisition of knowledge and constructive approaches in a continuous way, with a more direct and personal monitoring by the teacher that has been highly appreciated by almost 100% of the students. Ultimately, it is important to say that the use of Moodle in this subject is a very interesting tool, which was really well welcome by students in one of the densest and important subjects of the Degree of Technical Architecture.

DUENDE: Docencia Universitaria en Dirección de Empresas

El uso generalizado de Facebook como red social en la que compartir opiniones, información y recabar amistad o apoyo está introduciéndose también en el ámbito docente, ya que se puede ayudar a los estudiantes en el transcurso de las asignaturas, compartir información entre compañeros, notificar eventos de interés para la materia de estudio, etc. En esta memoria se expone nuestro trabajo con la red Facebook en asignaturas de grado, que ya comenzó el curso pasado. Se trata de contrastar si las conclusiones obtenidas en el pasado curso se reafirman o no para extraer recomendaciones que orienten el uso de Facebook como herramienta de enseñanza/aprendizaje.

Inference of binding affinity from neuronal receptors in humans

Tese de mestrado, Bioinformática e Biologia Computacional (Bioinformática), Universidade de Lisboa, Faculdade de Ciências, 2016

Approaches and Strategy for Cancer Research and Surveillance Data: Integration, Information Pipeline, Data Models, and Informatics Opportunities

Thesis (Ph.D.)--University of Washington, 2016-04

Understanding human genome regulation through entropic graph-based regularization and submodular optimization

Thesis (Ph.D.)--University of Washington, 2016-06

Genes for the majority of group A streptococcal virulence factors and extracellular surface proteins do not confer an increased propensity to cause invasive disease

Background. The factors behind the reemergence of severe, invasive group A streptococcal (GAS) diseases are unclear, but it could be caused by altered genetic endowment in these organisms. However, data from previous studies assessing the association between single genetic factors and invasive disease are often conflicting, suggesting that other, as-yet unidentified factors are necessary for the development of this class of disease. Methods. In this study, we used a targeted GAS virulence microarray containing 226 GAS genes to determine the virulence gene repertoires of 68 GAS isolates (42 associated with invasive disease and 28 associated with noninvasive disease) collected in a defined geographic location during a contiguous time period. We then employed 3 advanced machine learning methods (genetic algorithm neural network, support vector machines, and classification trees) to identify genes with an increased association with invasive disease. Results. Virulence gene profiles of individual GAS isolates varied extensively among these geographically and temporally related strains. Using genetic algorithm neural network analysis, we identified 3 genes with a marginal overrepresentation in invasive disease isolates. Significantly, 2 of these genes, ssa and mf4, encoded superantigens but were only present in a restricted set of GAS M-types. The third gene, spa, was found in variable distributions in all M-types in the study. Conclusions. Our comprehensive analysis of GAS virulence profiles provides strong evidence for the incongruent relationships among any of the 226 genes represented on the array and the overall propensity of GAS to cause invasive disease, underscoring the pathogenic complexity of these diseases, as well as the importance of multiple bacteria and/ or host factors.

Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures

Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for predicting a continuum secondary structure, i.e. assigning probabilities to the conformational states of a residue. We train our methods using data derived from high-quality NMR models. Results: Several probabilistic models not only successfully estimate the continuum secondary structure, but also provide a categorical output on par with models directly trained on categorical data. Importantly, models trained on the continuum secondary structure are also better than their categorical counterparts at identifying the conformational state for structurally ambivalent residues. Conclusion: Cascaded probabilistic neural networks trained on the continuum secondary structure exhibit better accuracy in structurally ambivalent regions of proteins, while sustaining an overall classification accuracy on par with standard, categorical prediction methods.

Rule extraction from technology IPOs in the US stock market

Machine learning techniques for prediction and rule extraction from artificial neural network methods are used. The hypothesis that market sentiment and IPO specific attributes are equally responsible for first-day IPO returns in the US stock market is tested. Machine learning methods used are Bayesian classifications, support vector machines, decision tree techniques, rule learners and artificial neural networks. The outcomes of the research are predictions and rules associated With first-day returns of technology IPOs. The hypothesis that first-day returns of technology IPOs are equally determined by IPO specific and market sentiment is rejected. Instead lower yielding IPOs are determined by IPO specific and market sentiment attributes, while higher yielding IPOs are largely dependent on IPO specific attributes.

Knowledge acquisition in international strategic alliances among Malaysian manufacturing firms

This thesis examines the process of knowledge acquisition by Malaysian manufacturing firms through their involvement in international strategic alliances. The strategic alliances can be with or without equity involvement. Firms involved with a foreign partner with equity involvement are joint venture firms while non-equity involvement are firms that engaged in contractual agreements. Using empirical evidence from 65 international alliances gathered through a survey conducted in high-technology manufacturing sectors, several factors that influence the process of knowledge acquisition are examined. The factors are: learning capacity, experience, goals, active involvement and accessibility to the foreign knowledge. Censored regression analysis and ordered probit analysis are used to analyse the effects of these factors on knowledge acquisition and its determinant parts, and the effects of knowledge acquisition and its determinants on the performance of the alliances. A second questionnaire gathered evidence relating to the factors, which encouraged tacit knowledge transfer between the foreign and Malaysian partners in international alliances. The key findings of the study are: knowledge acquisition in international strategic alliances is influenced by five determining factors; learning capacity, experience, articulated goals, active involvement and accessibility; new technology knowledge, product development knowledge and manufacturing process knowledge are influenced differently by the determining factors; knowledge acquisition and its determinant factors have a significant impact on the firm’s performance; cultural differences tend to moderate the effect on the firm’s performance; acquiring tacit knowledge is not only influenced by the five determinant factors but also by other factors, such as dependency, accessibility, trust, manufacturing control, learning methods and organisational systems; Malaysian firms involved in joint ventures tend to acquire more knowledge than those involved in contractual agreements, but joint ventures also exhibit higher degrees of dependency than contractual agreements; and the presence of R&D activity in the Malaysian partner encourages knowledge acquisition, but the amount of R&D expenditure has no effect on knowledge acquisition.

An evaluation of pharmacy education and pre-registration training

This thesis covers two major aspects of pharmacy education; undergraduate education and pre-registration training. A cohort of pharmacy graduates were surveyed over a period of four years, on issues related to undergraduate education, pre-registration training and continuing education. These graduates were the first-ever to sit the pre-registration examination. In addition, the opinions of pre-registration tutors were obtained on pre-registration training, during the year that competence-based assessment was introduced. It was concluded that although the undergraduate course provided a broad base of knowledge suitable for graduates in all branches of pharmacy, several issues were identified which would require attention in future developments of the course. These were: 1. the strong support for the expansion of clinical, social and practice-based teaching. 2. the strong support to retain the scientific content to the same extent as in the three-year course. 3. a greater use of problem-based learning methods. The graduates supported the provision of a pre-registration continuing education course to help prepare for the examination and in areas inadequately covered in the undergraduate course. There was also support for the introduction of some form of split branch training. There was no strong evidence to suggest that the training had been an application of undergraduate education. In general, competence-based training was well regarded by tutors as an appropriate and effective method of skill assessment. However, community tutors felt it was difficult to carry out effectively due to day-to-day time constraints. The assistant tutors in hospital pharmacy were found to have a very important role in provision of training, and should be adequately trained and supported. The study recommends the introduction of uniform training and a quality assurance mechanism for all tutors and assistants undertaking this role.

Ontology-based protein-protein interactions extraction from literature using the hidden vector state model

This paper proposes a novel framework of incorporating protein-protein interactions (PPI) ontology knowledge into PPI extraction from biomedical literature in order to address the emerging challenges of deep natural language understanding. It is built upon the existing work on relation extraction using the Hidden Vector State (HVS) model. The HVS model belongs to the category of statistical learning methods. It can be trained directly from un-annotated data in a constrained way whilst at the same time being able to capture the underlying named entity relationships. However, it is difficult to incorporate background knowledge or non-local information into the HVS model. This paper proposes to represent the HVS model as a conditionally trained undirected graphical model in which non-local features derived from PPI ontology through inference would be easily incorporated. The seamless fusion of ontology inference with statistical learning produces a new paradigm to information extraction.