A universally delivered CBT based intervention in a Scottish secondary school: a pilot feasibility study

Objectives: To evaluate the feasibility of a universally delivered CBT-based programme for pupils within a Scottish secondary school setting. Design: A pre-post, within and between groups design was utilised. Setting: Religious Moral Citizenship and Education (RMCE) classes in a Scottish secondary school. Participants: Four (n = 103) classes of third year secondary school pupils were arbitrarily allocated to two conditions: RMCE-as usual (RMCE-AU) controls, and LLTTF intervention. Intervention: Living Life to the Full (LLTTF) is a series of Cognitive Behavioural Therapy (CBT)-based booklets and accompanying 8 classes to improve coping skills. An adolescent version of LLTTF was recently developed. This was delivered over nine weeks by school teachers trained in the approach. Outcome measures: The Strengths and Difficulties Questionnaire, Rosenberg Self-Esteem scale, General Self-Efficacy Scale, and Locus of Control scale were administered at baseline and 9 week follow-up. To determine acceptability and utility of the materials course feedback was gathered weekly from the intervention group and a focus group (n=5) was conducted at 3 month follow up. Results: Outcome measures showed no significant improvement in overall wellbeing of those in the intervention group compared with that of the control group. Weekly feedback suggested that the majority of pupils found the materials useful and relevant. Focus group feedback suggested that pupils found the intervention useful, had utilised strategies in everyday life and would welcome recurring provision of such interventions within the school setting. Conclusions: Universally delivered CBT intervention is acceptable and feasible within the secondary school environment. However, objective measurement using standardised tools does not adequately corroborate qualitative feedback from pupils. Issues relating to measurement, study design and implementation of future interventions are discussed.

Análisis y percepción de la participación en Nicaragua desde la visión de los participantes y no participantes

Conocer los espacios de participación de los jóvenes nicaragüenses, su incidencia en las políticas públicas, la calidad de la participación y los efectos sobre el fortalecimiento psicológico son los objetivos del presente estudio. Para ello se han recogido 893 cuestionarios a estudiantes de la Universidad Nacional Autónoma de Nicaragua, 350 a participantes y 600 a no participantes. En el cuestionario hay preguntas abiertas y cerradas mediante las cuales se mide: el grado y la trayectoria participativa, la motivación por participar, la percepción de la calidad de los procesos en los que participan, posicionamiento ideológico y el empowerment psicológico (medido mediante la Sociopolitical Control Scale de Zimmerman & Zahniser 1991 y la escala de empowerment de Speer & Peterson 2000). Los datos muestran una gran diversidad de espacios de participación donde destacan las brigadas mediambientales y las juventudes sandinistas, la primera por su alto número de participantes y las segunda por su potencial de influencia en el diseño de políticas. Los jóvenes tienden a participar para ayudar a los demás y consideran que la calidad de los procesos participativos es alta. Igualmente se confirma la hipótesis de partida: los participantes poseen un mayor fortalecimiento psicológico que los no participantes.

Satisfação no trabalho e perceções sobre o clima organizacional dos enfermeiros do Centro de Saúde de Oleiros

A satisfação profissional tem sido nas últimas décadas encarada como condição importante, se não mesmo essencial para lograr e melhorar o funcionamento de empresas e demais organizações. Este relatório de estágio tem como objetivo conhecer as principais razões que condicionam a satisfação profissional dos enfermeiros que atuam nos Cuidados de Saúde Primários, nomeadamente no Centro de Saúde de Oleiros e pela necessidade em conhecer as relações existentes entre a satisfação no trabalho desses enfermeiros, o clima organizacional, o locus de controlo e algumas variáveis sócio-demográficas. O estágio decorreu entre fevereiro e junho de 2011, baseou –se num estudo exploratório, recorrendo-se a observação direta e aplicação de um questionário constituído por quatro partes distintas: questionário sócio-demográfico e profissional; Escala sobre a Satisfação Geral no Trabalho; Escala de Locus de Controlo de Levenson e a Work Environment Scale. A população – alvo é constituída por 9 enfermeiros que exercem funções no Centro de Saúde de Oleiros e salientando-se como principais conclusões que o conforto físico é o menos valorizado como importante para o clima organizacional, sendo o envolvimento e a coesão entre os colegas o mais valorizado. O relacionamento como dimensão do clima organizacional interfere no nível de satisfação geral no trabalho. O estudo demonstrou que das expectativas avaliadas através de uma escala de locus de controlo, sendo que os indivíduos cujos acontecimentos determinantes são percebidos como escapando ao controlo individual e dependentes de fatores tais como a ação de outras pessoas ou instituições poderosas, tendem a ter menor satisfação.

Control of predators in industrial scale microalgae cultures with Pulsed Electric Fields.

This work describes the utilization of Pulsed Electric Fields to control the protozoan contamination of a microalgae culture, in an industrial 2.7m3 microalgae photobioreactor. The contaminated culture was treated with Pulsed Electric Fields, PEF, for 6h with an average of 900V/cm, 65μs pulses of 50Hz. Working with recirculation, all the culture was uniformly exposed to the PEF throughout the assay. The development of the microalgae and protozoan populations was followed and the results showed that PEF is effective on the selective elimination of protozoa from microalgae cultures, inflicting on the protozoa growth halt, death or cell rupture, without affecting microalgae productivity. Specifically, the results show a reduction of the active protozoan population of 87% after 6h treatment and 100% after few days of normal cultivation regime. At the same time, microalgae growth rate remained unaffected. © 2014 Elsevier B.V.

Modelling of vegetative filter strips in catchment scale erosin control

Selostus: Valuma-aluetason mallisovellus suojakaistojen käytöstä eroosion torjunnassa

Minimising the latency induced by consistency control, within a large scale multi-user distributed virtual reality system

Where users are interacting in a distributed virtual environment, the actions of each user must be observed by peers with sufficient consistency and within a limited delay so as not to be detrimental to the interaction. The consistency control issue may be split into three parts: update control; consistent enactment and evolution of events; and causal consistency. The delay in the presentation of events, termed latency, is primarily dependent on the network propagation delay and the consistency control algorithms. The latency induced by the consistency control algorithm, in particular causal ordering, is proportional to the number of participants. This paper describes how the effect of network delays may be reduced and introduces a scalable solution that provides sufficient consistency control while minimising its effect on latency. The principles described have been developed at Reading over the past five years. Similar principles are now emerging in the simulation community through the HLA standard. This paper attempts to validate the suggested principles within the schema of distributed simulation and virtual environments and to compare and contrast with those described by the HLA definition documents.

Locating control points in aerial images with a multi-scale approach based on terrestrial image patches

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Control algorithms for large scale adaptive optics

In this dissertation, the problem of creating effective large scale Adaptive Optics (AO) systems control algorithms for the new generation of giant optical telescopes is addressed. The effectiveness of AO control algorithms is evaluated in several respects, such as computational complexity, compensation error rejection and robustness, i.e. reasonable insensitivity to the system imperfections. The results of this research are summarized as follows: 1. Robustness study of Sparse Minimum Variance Pseudo Open Loop Controller (POLC) for multi-conjugate adaptive optics (MCAO). The AO system model that accounts for various system errors has been developed and applied to check the stability and performance of the POLC algorithm, which is one of the most promising approaches for the future AO systems control. It has been shown through numerous simulations that, despite the initial assumption that the exact system knowledge is necessary for the POLC algorithm to work, it is highly robust against various system errors. 2. Predictive Kalman Filter (KF) and Minimum Variance (MV) control algorithms for MCAO. The limiting performance of the non-dynamic Minimum Variance and dynamic KF-based phase estimation algorithms for MCAO has been evaluated by doing Monte-Carlo simulations. The validity of simple near-Markov autoregressive phase dynamics model has been tested and its adequate ability to predict the turbulence phase has been demonstrated both for single- and multiconjugate AO. It has also been shown that there is no performance improvement gained from the use of the more complicated KF approach in comparison to the much simpler MV algorithm in the case of MCAO. 3. Sparse predictive Minimum Variance control algorithm for MCAO. The temporal prediction stage has been added to the non-dynamic MV control algorithm in such a way that no additional computational burden is introduced. It has been confirmed through simulations that the use of phase prediction makes it possible to significantly reduce the system sampling rate and thus overall computational complexity while both maintaining the system stable and effectively compensating for the measurement and control latencies.

Optimal game theoretic distributed control methodologies in small scale power systems

This dissertation presents the competitive control methodologies for small-scale power system (SSPS). A SSPS is a collection of sources and loads that shares a common network which can be isolated during terrestrial disturbances. Micro-grids, naval ship electric power systems (NSEPS), aircraft power systems and telecommunication system power systems are typical examples of SSPS. The analysis and development of control systems for small-scale power systems (SSPS) lacks a defined slack bus. In addition, a change of a load or source will influence the real time system parameters of the system. Therefore, the control system should provide the required flexibility, to ensure operation as a single aggregated system. In most of the cases of a SSPS the sources and loads must be equipped with power electronic interfaces which can be modeled as a dynamic controllable quantity. The mathematical formulation of the micro-grid is carried out with the help of game theory, optimal control and fundamental theory of electrical power systems. Then the micro-grid can be viewed as a dynamical multi-objective optimization problem with nonlinear objectives and variables. Basically detailed analysis was done with optimal solutions with regards to start up transient modeling, bus selection modeling and level of communication within the micro-grids. In each approach a detail mathematical model is formed to observe the system response. The differential game theoretic approach was also used for modeling and optimization of startup transients. The startup transient controller was implemented with open loop, PI and feedback control methodologies. Then the hardware implementation was carried out to validate the theoretical results. The proposed game theoretic controller shows higher performances over traditional the PI controller during startup. In addition, the optimal transient surface is necessary while implementing the feedback controller for startup transient. Further, the experimental results are in agreement with the theoretical simulation. The bus selection and team communication was modeled with discrete and continuous game theory models. Although players have multiple choices, this controller is capable of choosing the optimum bus. Next the team communication structures are able to optimize the players’ Nash equilibrium point. All mathematical models are based on the local information of the load or source. As a result, these models are the keys to developing accurate distributed controllers.

STRUCTURAL CONTROL OF A SMALL-SCALE TEST-BED SHAKER STRUCTURE USING A SPONGE-TYPE MAGNETO-RHEOLOGICAL FLUID DAMPER

Semi-active damping devices have been shown to be effective in mitigating unwanted vibrations in civil structures. These devices impart force indirectly through real-time alterations to structural properties. Simulating the complex behavior of these devices for laboratory-scale experiments is a major challenge. Commercial devices for seismic applications typically operate in the 2-10 kN range; this force is too high for small-scale testing applications where requirements typically range from 0-10 N. Several challenges must be overcome to produce damping forces at this level. In this study, a small-scale magneto-rheological (MR) damper utilizing a fluid absorbent metal foam matrix is developed and tested to accomplish this goal. This matrix allows magneto-rheological (MR) fluid to be extracted upon magnetic excitation in order to produce MR-fluid shear stresses and viscosity effects between an electromagnetic piston, the foam, and the damper housing. Dampers for uniaxial seismic excitation are traditionally positioned in the horizontal orientation allowing MR-fluid to gather in the lower part of the damper housing when partially filled. Thus, the absorbent matrix is placed in the bottom of the housing relieving the need to fill the entire device with MR-fluid, a practice that requires seals that add significant unwanted friction to the desired low-force device. The damper, once constructed, can be used in feedback control applications to reduce seismic vibrations and to test structural control algorithms and wireless command devices. To validate this device, a parametric study was performed utilizing force and acceleration measurements to characterize damper performance and controllability for this actuator. A discussion of the results is presented to demonstrate the attainment of the damper design objectives.

An empirical evaluation of the Random Forests classifier models for variable selection in a large-scale lung cancer case-control study

Random Forests™ is reported to be one of the most accurate classification algorithms in complex data analysis. It shows excellent performance even when most predictors are noisy and the number of variables is much larger than the number of observations. In this thesis Random Forests was applied to a large-scale lung cancer case-control study. A novel way of automatically selecting prognostic factors was proposed. Also, synthetic positive control was used to validate Random Forests method. Throughout this study we showed that Random Forests can deal with large number of weak input variables without overfitting. It can account for non-additive interactions between these input variables. Random Forests can also be used for variable selection without being adversely affected by collinearities. ^ Random Forests can deal with the large-scale data sets without rigorous data preprocessing. It has robust variable importance ranking measure. Proposed is a novel variable selection method in context of Random Forests that uses the data noise level as the cut-off value to determine the subset of the important predictors. This new approach enhanced the ability of the Random Forests algorithm to automatically identify important predictors for complex data. The cut-off value can also be adjusted based on the results of the synthetic positive control experiments. ^ When the data set had high variables to observations ratio, Random Forests complemented the established logistic regression. This study suggested that Random Forests is recommended for such high dimensionality data. One can use Random Forests to select the important variables and then use logistic regression or Random Forests itself to estimate the effect size of the predictors and to classify new observations. ^ We also found that the mean decrease of accuracy is a more reliable variable ranking measurement than mean decrease of Gini. ^