Qualitative methods for studying psychotherapy change processes

It is my hope in this chapter to encourage the use of a broader range of options for qualitative data collection and analysis in psychotherapy change process research. To do this, I first briefly outline some of the epistemological issues associated with CPR. Then I briefly summarize two useful tools for collecting useful and interesting qualitative data about change processes. After this, I turn to an example of qualitative data analysis methods appropriate to CPR

Composite ontology change operators and their customizable evolution strategies

Change operators are the building blocks of ontology evolution. Elementary, composite and complex change operators have been suggested. While lower-level change operators are useful in terms of finegranular representation of ontology changes, representing the intent of change requires higher-level change operators. Here, we focus on higherlevel composite change operators to perform an aggregated task. We introduce composite-level evolution strategies. The central role of the evolution strategies is to preserve the intent of the composite change with respect to the user’s requirements and to reduce the change operational cost. Composite-level evolution strategies assist in avoiding the illegal changes or presence of illegal axioms that may generate inconsistencies during application of a composite change. We discuss few composite changes along with the defined evolution strategies as an example that allow users to control and customize the ontology evolution process

Software evolution prediction using seasonal time analysis: a comparative study

Prediction models of software change requests are useful for supporting rational and timely resource allocation to the evolution process. In this paper we use a time series forecasting model to predict software maintenance and evolution requests in an open source software project (Eclipse), as an example of projects with seasonal release cycles. We build an ARIMA model based on data collected from Eclipse’s change request tracking system since the project’s start. A change request may refer to defects found in the software, but also to suggested improvements in the system under scrutiny. Our model includes the identification of seasonal patterns and tendencies, and is validated through the forecast of the change requests evolution for the next 12 months. The usage of seasonal information significantly improves the estimation ability of this model, when compared to other ARIMA models found in the literature, and does so for a much longer estimation period. Being able to accurately forecast the change requests’ evolution over a fairly long time period is an important ability for enabling adequate process control in maintenance activities, and facilitates effort estimation and timely resources allocation. The approach presented in this paper is suitable for projects with a relatively long history, as the model building process relies on historic data

Editorial -Special issue on adaptive multimedia computing

In recent years, there is an emerging research area in multimedia computing, with the increasing number of related work in scalable video, adaptive multimedia documents, adaptive multimedia services, to name just a few. This new trend comes about partly due to the increasing use of mobile media devices where media requirements could change among users and devices and at different times of reception or presentation, and partly due to the changing network conditions, where best-effort service is the general practice. Any change in Quality of Services (QoS) could imply a change in the delivery or scheduling of media contents. To complicate the matter, user interruptions or requirement changes during the communication process could also occur; for example, a user may not be satisfied with the current media quality and decide an upgrade in real time. The status quo is that this new research paradigm is beginning to take shape while no effort has been made to draw a roadmap for it. We could see some major research work missing, for example, formal methods or modeling of adaptive multimedi

Municipalities, politics, and climate change: an example of the process of institutionalizing an environmental agenda within local government

Political issues can influence the delivery of services and other goals, such as environmental sustainability, within municipalities. However, the influence of political factors on the institutionalization of environmental issues within municipalities has not been examined. We investigate these issues using a case study of a South African municipality that has made considerable progress in institutionalizing environmental issues (particularly climate change related) in the last decade, despite a change in political leadership. The presence of the following factors promoted the institutionalization of environmental governance: (i) political champions; (ii) networks between the municipality and other organizations, and dense networks within the municipality; (iii) benefits for the municipality from environmental actions. Political issues can enable the process of institutionalization (e.g. by stimulating innovation through political party competition) and also hinder it through political instability (which for e.g. disrupts patterns in champions and networks) and clientelism (which can cause environmental projects to be discontinued)

Boundary-induced nonequilibrium phase transition into an absorbing state

We demonstrate that absorbing phase transitions in one dimension may be induced by the dynamics of a single site. As an example we consider a one-dimensional model of diffusing particles, where a single site at the boundary evolves according to the dynamics of a contact process. As the rate for offspring production at this site is varied, the model exhibits a phase transition from a fluctuating active phase into an absorbing state. The universal properties of the transition are analyzed by numerical simulations and approximation techniques.Comment: 4 pages, 4 figures; minor change

Wandel im Gesundheitswesen: Analyse der Auswirkungen auf Ärzte und Patienten am Beispiel der Ukraine

Background The health care sector is experiencing a drastic transition all over the world. This has an impact not only on the way hospitals, clinics, special-care homes etc. are organized, but also on patients, personnel and other stakeholders involved. The consequences of changes for both physicians and patients are investigated using a comprehensive health care reform in Ukraine as an example. Methods The analysis is based on empirical data collected from general physicians in 2 Ukrainian cities. Based on the Job Demands-Resources Model, we developed a set of hypotheses and tested them using the structural equation modelling technique. A total of 178 general physicians (81% of the approached population) participated in the study. Results Our investigation reveals a clear relationship between the organizational job demands (additional tasks, structural changes, new processes) and their psychological effects (e. g., burnout). The latter have a negative impact on cooperation of physicians in hospitals leading to lower patient satisfaction. Discussion and Conclusions Change in health care is inevitable. The example of Ukraine shows that openness of hospitals towards change reduces the probability of physicians’ burnout and, eventually, increases patient satisfaction. We strongly suggest applying the process management approach in order to increase openness to change, especially in turbulent times

Efficiency of Free Energy Transduction in Autonomous Systems

We consider the thermodynamics of chemical coupling from the viewpoint of free energy transduction efficiency. In contrast to an external parameter-driven stochastic energetics setup, the dynamic change of the equilibrium distribution induced by chemical coupling, adopted, for example, in biological systems, is inevitably an autonomous process. We found that the efficiency is bounded by the ratio between the non-symmetric and the symmetrized Kullback-Leibler distance, which is significantly lower than unity. Consequences of this low efficiency are demonstrated in the simple two-state case, which serves as an important minimal model for studying the energetics of biomolecules.Comment: 4 pages, 4 figure