Using Action Research to Develop My Solution-Focused Practice in Collaboration with Year 6 And 7 Pupils When Discussing Their Behavioural Self-Regulation at School

This action research study aimed to develop the researcher's use of solutionfocused techniques when working with Year 6 and 7 pupils’ self-regulation. A systematic literature review highlighted an evidence base that demonstrated the efficacy of solution-focused methods when working with this population. The researcher’s intention was to add to the body of Educational Psychology practice-based evidence in this area. The researcher recruited eight participants from primary and secondary school provisions. Solution-focused techniques were systematically trialled in partnership with the pupils and were modified through an action research cycle. Semistructured interviewing provided participants the opportunity to critically evaluate the researcher’s solution-focused practice. Thematic Analysis was used to assess feedback in order to adapt the delivery of solution-focused techniques. Developments to practice explored within this study included modifications to the use of the six core components of Solution Focused Brief Therapy. Adaptations have the potential to inform the use of these solution-focused approaches with other educational practitioners.

From global advocacy to local resistance. Benin's experience of competency-based school curriculum

In the vein of the "Education for All" campaign to promote access to education, a wave of curriculum revision along the competency-based approach has swept francophone countries in sub-Sahara Africa, thus Benin. The current study documents local actors' various interactions with the curricular reform in the course of its implementation. Secondary data supplemented with qualitative research techniques such as semi-structured interviews with teachers, and focus group discussions with parents enable to relate the patterns of change, the challenges and resistance to change. The actors spectrum generated illustrates advocacy on one hand and resistance on the other. Advocacy of local actors reflects the global optimistic discourse on education and resistance is favoured by disappointing policy outcomes as well as contextual constraints. (DIPF/Orig.)

Attack simulation based software protection assessment method

Software protection is an essential aspect of information security to withstand malicious activities on software, and preserving software assets. However, software developers still lacks a methodology for the assessment of the deployed protections. To solve these issues, we present a novel attack simulation based software protection assessment method to assess and compare various protection solutions. Our solution relies on Petri Nets to specify and visualize attack models, and we developed a Monte Carlo based approach to simulate attacking processes and to deal with uncertainty. Then, based on this simulation and estimation, a novel protection comparison model is proposed to compare different protection solutions. Lastly, our attack simulation based software protection assessment method is presented. We illustrate our method by means of a software protection assessment process to demonstrate that our approach can provide a suitable software protection assessment for developers and software companies.

Critical Pedagogy: Origin, Vision, Action & Consequences

Critical pedagogy is a transformation-based approach to education. The aim of this article is to introduce the origin, vision, action and consequences of critical pedagogy. It also aims on finding out about educators’ possibility of actualising it in their practice. As a source materials articles, book chapters and books are used. The literature shows that critical pedagogy has its origin in the tradition of critical theory of the Frankfurt School and the work of the Brazilian pedagog Paulo Freire. According to the literature, its major theses is that education should go beyond transfer of knowledge and training the future labour force; to help developing critical consciousness, which leads to transformation of the individual, learning environment and society at large. Critical pedagogy is criticised for a focus on macro level system, for not having a model for classroom implementation and for being abstract. Despite some critics, I argue that critical pedagogy has still the potential to empower those in the field of education to increase their consciousness about the injustice in their society and to involve in transforming it.   Keywords: Critical pedagogy, critical thinking, critical theory, dialogue, Frankfurt School, transformation.

The relationship between personal cognition, social context, and knowledge sharing in global communities of practice

The purpose of this study was to identify the structural pathways of personal cognition and social context as they influence knowledge sharing behaviors in communities of practice. Based on the existing literature, ten hypotheses and a conceptual model built on the basis of the social cognitive theory were developed regarding the interrelationships of the five constructs: self-efficacy for knowledge sharing, outcome expectations, sense of community, leadership of a community, and knowledge sharing. The data were collected through an online questionnaire from the employees who have participated in communities of practice in a Fortune 100 corporation. A total of 438 usable questionnaires were collected. Overall, three analyses were conducted in order to prove the given hypotheses: (a) hypothesized measurement model fit, (b) relational and influential associations among the constructs, and (c) structural equation model analysis (SEM). In addition, open-ended responses were analyzed. The results presented that (a) hypothesized measurement models were valid and reliable, (b) personal cognitive factors, self-efficacy and outcome expectations for knowledge sharing, were found to be significant predictors of community members’ sense of community and knowledge sharing behaviors, (c) sense of community had the most significant impact on the knowledge sharing, (d) as the perceived social context, sense of community mediated the effects of personal cognition on knowledge sharing behaviors, and (e) personal cognition and social context jointly contributed to knowledge sharing. In brief, all of the hypotheses were positively supported. A conclusive summary is provided along with contributive discussion. Implications and contributions to HRD researchers and practitioners are discussed, and recommendations are provided.

Detection of mesoscale thermal fronts from 4km data using smoothing techniques: Gradient-based fronts classification and basin scale application

In order to optimize frontal detection in sea surface temperature fields at 4 km resolution, a combined statistical and expert-based approach is applied to test different spatial smoothing of the data prior to the detection process. Fronts are usually detected at 1 km resolution using the histogram-based, single image edge detection (SIED) algorithm developed by Cayula and Cornillon in 1992, with a standard preliminary smoothing using a median filter and a 3 × 3 pixel kernel. Here, detections are performed in three study regions (off Morocco, the Mozambique Channel, and north-western Australia) and across the Indian Ocean basin using the combination of multiple windows (CMW) method developed by Nieto, Demarcq and McClatchie in 2012 which improves on the original Cayula and Cornillon algorithm. Detections at 4 km and 1 km of resolution are compared. Fronts are divided in two intensity classes (“weak” and “strong”) according to their thermal gradient. A preliminary smoothing is applied prior to the detection using different convolutions: three type of filters (median, average and Gaussian) combined with four kernel sizes (3 × 3, 5 × 5, 7 × 7, and 9 × 9 pixels) and three detection window sizes (16 × 16, 24 × 24 and 32 × 32 pixels) to test the effect of these smoothing combinations on reducing the background noise of the data and therefore on improving the frontal detection. The performance of the combinations on 4 km data are evaluated using two criteria: detection efficiency and front length. We find that the optimal combination of preliminary smoothing parameters in enhancing detection efficiency and preserving front length includes a median filter, a 16 × 16 pixel window size, and a 5 × 5 pixel kernel for strong fronts and a 7 × 7 pixel kernel for weak fronts. Results show an improvement in detection performance (from largest to smallest window size) of 71% for strong fronts and 120% for weak fronts. Despite the small window used (16 × 16 pixels), the length of the fronts has been preserved relative to that found with 1 km data. This optimal preliminary smoothing and the CMW detection algorithm on 4 km sea surface temperature data are then used to describe the spatial distribution of the monthly frequencies of occurrence for both strong and weak fronts across the Indian Ocean basin. In general strong fronts are observed in coastal areas whereas weak fronts, with some seasonal exceptions, are mainly located in the open ocean. This study shows that adequate noise reduction done by a preliminary smoothing of the data considerably improves the frontal detection efficiency as well as the global quality of the results. Consequently, the use of 4 km data enables frontal detections similar to 1 km data (using a standard median 3 × 3 convolution) in terms of detectability, length and location. This method, using 4 km data is easily applicable to large regions or at the global scale with far less constraints of data manipulation and processing time relative to 1 km data.

Evolution feature oriented model driven product line engineering approach for synergistic and dynamic service evolution in clouds: A04BPEL3.0 proposal.

Model Driven based approach for Service Evolution in Clouds will mainly focus on the reusable evolution patterns' advantage to solve evolution problems. During the process, evolution pattern will be driven by MDA models to pattern aspects. Weaving the aspects into service based process by using Aspect-Oriented extended BPEL engine at runtime will be the dynamic feature of the evolution.

The identification and characterization of novel antibacterial compounds via target-based and whole cell screening approaches

The emergence of multidrug-resistant bacterial infections in both the clinical setting and the community has created an environment in which the development of novel antibacterial compounds is necessary to keep dangerous infections at bay. While the derivatization of existing antibiotics by pharmaceutical companies has so far been successful at achieving this end, this strategy is short-term, and the discovery of antibacterials with novel scaffolds would be a greater contribution to the fight of multidrug-resistant infections. Described herein is the application of both target-based and whole cell screening strategies to identify novel antibacterial compounds. In a target-based approach, we sought small-molecule disruptors of the MazEF toxin-antitoxin protein complex. A lack of facile, continuous assays for this target required the development of a fluorometric assay for MazF ribonuclease activity. This assay was employed to further characterize the activity of the MazF enzyme and was used in a screening effort to identify disruptors of the MazEF complex. In addition, by employing a whole cell screening approach, we identified two compounds with potent antibacterial activity. Efforts to characterize the in vitro antibacterial activities displayed by these compounds and to identify their modes of action are described.

Compreensão da reação de precipitação do iodeto de chumbo entre os níveis de análise macro e micro no ensino da química

O estudo apresentado teve como objetivos planificar e implementar e analisar uma proposta didática alternativa para a abordagem dos níveis macroscópico, simbólico e sub-microscópico, indispensáveis para a compreensão das reações químicas, salientando-se o facto de não se explorar, nos manuais e na prática, todo o potencial de uma reação química muito usual. A proposta utiliza uma diferente abordagem da tradicional reação de precipitação do iodeto de chumbo, centrada em questões-problema: “Ocorreu uma reação química?” e “Será possível dissolver o precipitado?”. A metodologia foi qualitativa e centrou-se na investigação-ação colaborativa. Perante as questões problema, os alunos fizeram previsões, sugeriram e realizaram procedimentos experimentais de carácter investigativo para as testar e fundamentaram as respostas através da comunicação oral e da elaboração de esquemas pictóricos (livremente), estes últimos, para ilustrar o nível sub-microscópico. Analisaram-se conjuntamente os esquemas e os dados da observação direta. Os resultados evidenciam que os alunos: identificam a ocorrência da reação química sensorialmente (visualização do aparecimento de uma substância colorida após a junção de duas soluções incolores - nível macroscópico), representam a reação química utilizando a simbologia química (nível simbólico) mas apresentam algumas dificuldades na interpretação sub-microscópica.

A path-based framework for analyzing large markov models

Reliability and dependability modeling can be employed during many stages of analysis of a computing system to gain insights into its critical behaviors. To provide useful results, realistic models of systems are often necessarily large and complex. Numerical analysis of these models presents a formidable challenge because the sizes of their state-space descriptions grow exponentially in proportion to the sizes of the models. On the other hand, simulation of the models requires analysis of many trajectories in order to compute statistically correct solutions. This dissertation presents a novel framework for performing both numerical analysis and simulation. The new numerical approach computes bounds on the solutions of transient measures in large continuous-time Markov chains (CTMCs). It extends existing path-based and uniformization-based methods by identifying sets of paths that are equivalent with respect to a reward measure and related to one another via a simple structural relationship. This relationship makes it possible for the approach to explore multiple paths at the same time,· thus significantly increasing the number of paths that can be explored in a given amount of time. Furthermore, the use of a structured representation for the state space and the direct computation of the desired reward measure (without ever storing the solution vector) allow it to analyze very large models using a very small amount of storage. Often, path-based techniques must compute many paths to obtain tight bounds. In addition to presenting the basic path-based approach, we also present algorithms for computing more paths and tighter bounds quickly. One resulting approach is based on the concept of path composition whereby precomputed subpaths are composed to compute the whole paths efficiently. Another approach is based on selecting important paths (among a set of many paths) for evaluation. Many path-based techniques suffer from having to evaluate many (unimportant) paths. Evaluating the important ones helps to compute tight bounds efficiently and quickly.

A Component Based Heuristic Search Method with AdaptivePerturbations for Hospital Personnel Scheduling

Nurse rostering is a complex scheduling problem that affects hospital personnel on a daily basis all over the world. This paper presents a new component-based approach with adaptive perturbations, for a nurse scheduling problem arising at a major UK hospital. The main idea behind this technique is to decompose a schedule into its components (i.e. the allocated shift pattern of each nurse), and then mimic a natural evolutionary process on these components to iteratively deliver better schedules. The worthiness of all components in the schedule has to be continuously demonstrated in order for them to remain there. This demonstration employs a dynamic evaluation function which evaluates how well each component contributes towards the final objective. Two perturbation steps are then applied: the first perturbation eliminates a number of components that are deemed not worthy to stay in the current schedule; the second perturbation may also throw out, with a low level of probability, some worthy components. The eliminated components are replenished with new ones using a set of constructive heuristics using local optimality criteria. Computational results using 52 data instances demonstrate the applicability of the proposed approach in solving real-world problems.

Teaching and learning sexuality in nursing education

Sexuality is recognized as part of holistic nursing care, but its inclusion in clinical practice and nursing training is inconsistent. Based on the question "How students and teachers acknowledge sexuality in teaching and learning?", we developed a study in order to characterize the process of teaching and learning sexuality in a micro perspective of cur- riculum development. We used a mixed methods design with a sequential strategy: QUAN → qual of descriptive and explanatory type. 646 students and teachers participated. The quantitative component used ques- tionnaire surveys. Document analysis was used in the additional component. A curricular dimension of sexuality emerges guided by a behaviourist line and based on a biological vision. The issues considered safe are highlighted and framed in steps of adolescence and adulthood and more attached to female sexuality and the procreative aspect. There is in emergence a hidden curriculum by reference to content from other dimensions of sexuality but less often expressed. Theoretical learning follows a communicational model of reality through ab- straction strategies, which infers a deductive method of learning, with a behaviourist approach to assessment. Clinical teaching ad- dresses sexuality in combination with reproductive health nursing. The influencing factors of teaching and learning of sexuality were also explored. We conclude that the vision of female sexuality taught and learned in relation to women has a projection of care in clinical practice based on the same principles.

High Precision Plasma Etch for Pattern Transfer: Towards Fluorocarbon Based Atomic Layer Etching

A basic requirement of a plasma etching process is fidelity of the patterned organic materials. In photolithography, a He plasma pretreatment (PPT) based on high ultraviolet and vacuum ultraviolet (UV/VUV) exposure was shown to be successful for roughness reduction of 193nm photoresist (PR). Typical multilayer masks consist of many other organic masking materials in addition to 193nm PR. These materials vary significantly in UV/VUV sensitivity and show, therefore, a different response to the He PPT. A delamination of the nanometer-thin, ion-induced dense amorphous carbon (DAC) layer was observed. Extensive He PPT exposure produces volatile species through UV/VUV induced scissioning. These species are trapped underneath the DAC layer in a subsequent plasma etch (PE), causing a loss of adhesion. Next to stabilizing organic materials, the major goals of this work included to establish and evaluate a cyclic fluorocarbon (FC) based approach for atomic layer etching (ALE) of SiO2 and Si; to characterize the mechanisms involved; and to evaluate the impact of processing parameters. Periodic, short precursor injections allow precise deposition of thin FC films. These films limit the amount of available chemical etchant during subsequent low energy, plasma-based Ar+ ion bombardment, resulting in strongly time-dependent etch rates. In situ ellipsometry showcased the self-limited etching. X-ray photoelectron spectroscopy (XPS) confirms FC film deposition and mixing with the substrate. The cyclic ALE approach is also able to precisely etch Si substrates. A reduced time-dependent etching is seen for Si, likely based on a lower physical sputtering energy threshold. A fluorinated, oxidized surface layer is present during ALE of Si and greatly influences the etch behavior. A reaction of the precursor with the fluorinated substrate upon precursor injection was observed and characterized. The cyclic ALE approach is transferred to a manufacturing scale reactor at IBM Research. Ensuring the transferability to industrial device patterning is crucial for the application of ALE. In addition to device patterning, the cyclic ALE process is employed for oxide removal from Si and SiGe surfaces with the goal of minimal substrate damage and surface residues. The ALE process developed for SiO2 and Si etching did not remove native oxide at the level required. Optimizing the process enabled strong O removal from the surface. Subsequent 90% H2/Ar plasma allow for removal of C and F residues.

RISK-BASED MULTIOBJECTIVE PATH PLANNING AND DESIGN OPTIMIZATION FOR UNMANNED AERIAL VEHICLES

Safe operation of unmanned aerial vehicles (UAVs) over populated areas requires reducing the risk posed by a UAV if it crashed during its operation. We considered several types of UAV risk-based path planning problems and developed techniques for estimating the risk to third parties on the ground. The path planning problem requires making trade-offs between risk and flight time. Four optimization approaches for solving the problem were tested; a network-based approach that used a greedy algorithm to improve the original solution generated the best solutions with the least computational effort. Additionally, an approach for solving a combined design and path planning problems was developed and tested. This approach was extended to solve robust risk-based path planning problem in which uncertainty about wind conditions would affect the risk posed by a UAV.

Modelling and simulating retail management practices: a first approach

Multi-agent systems offer a new and exciting way of understanding the world of work. We apply agent-based modeling and simulation to investigate a set of problems in a retail context. Specifically, we are working to understand the relationship between people management practices on the shop-floor and retail performance. Despite the fact we are working within a relatively novel and complex domain, it is clear that using an agent-based approach offers great potential for improving organizational capabilities in the future. Our multi-disciplinary research team has worked closely with one of the UK’s top ten retailers to collect data and build an understanding of shop-floor operations and the key actors in a department (customers, staff, and managers). Based on this case study we have built and tested our first version of a retail branch agent-based simulation model where we have focused on how we can simulate the effects of people management practices on customer satisfaction and sales. In our experiments we have looked at employee development and cashier empowerment as two examples of shop floor management practices. In this paper we describe the underlying conceptual ideas and the features of our simulation model. We present a selection of experiments we have conducted in order to validate our simulation model and to show its potential for answering “what-if” questions in a retail context. We also introduce a novel performance measure which we have created to quantify customers’ satisfaction with service, based on their individual shopping experiences.