The relationship between activating affects, inhibitory affects, and self-compassion in patients with Cluster C personality disorders.

In the short-term dynamic psychotherapy model termed “Affect Phobia Treatment,” it is assumed that increase in patients' defense recognition, decrease in inhibitory affects (e.g., anxiety, shame, guilt), and increase in the experience of activating affects (e.g., sadness, anger, closeness) are related to enhanced self-compassion across therapeutic approaches. The present study aimed to test this assumption on the basis of data from a randomized controlled trial, which compared a 40-session short-term dynamic psychotherapy (N = 25) with 40-session cognitive treatment (N = 25) for outpatients with Cluster C personality disorders. Patients' defense recognition, inhibitory affects, activating affects, and self-compassion were rated with the Achievement of Therapeutic Objectives Scale (McCullough et al., 2003b) in Sessions 6 and 36. Results showed that increase in self-compassion from early to late in therapy significantly predicted pre- to post-decrease in psychiatric symptoms, interpersonal problems, and personality pathology. Decrease in levels of inhibitory affects and increase in levels of activating affects during therapy were significantly associated with higher self-compassion toward the end of treatment. Increased levels of defense recognition did not predict higher self-compassion when changes in inhibitory and activating affects were statistically controlled for. There were no significant interaction effects with type of treatment. These findings support self-compassion as an important goal of psychotherapy and indicate that increase in the experience of activating affects and decrease in inhibitory affects seem to be worthwhile therapeutic targets when working to enhance self-compassion in patients with Cluster C personality disorders. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

The early months of stuttering: a developmental study

Objective data on the development of stuttering during its first several months are sparse. Such a deficit is due to parents' tendency to postpone professional consultation regarding early stuttering until later in the course of the disorder and to a lack of longitudinal studies beginning close to onset. This report presents information on a rare group of 16 preschool subjects who were evaluated within several weeks after stuttering onset and followed for 6 months using multiple measures. The findings show that often early stuttering takes on a moderate-to-severe form. Substantial changes occurred, however, during the 6 months of the study, with a strong tendency for reduction in stuttering-like disfluencies, number of head/face movements, clinician severity ratings of stuttering, and parent ratings of stuttering. Several subjects, including severe cases, exhibited complete recovery. The large changes that occur during the early stage of stuttering suggest that relatively small differences in the length of post-onset interval (stuttering history) can greatly influence all research data of early childhood stuttering. The high, as well as fast, improvement rate suggests that the precise timing of early intervention should be conscientiously evaluated in carefully controlled studies.     

A database approach for information communication in a peer‐to‐peer collaborative CAD environment

Timely and efficient information communication is a key factor in ensuring successful collaboration in engineering collaborative design. This work proposes a database approach to support information communication between distributed and autonomous CAD systems. It provides the designer with an easy and flexible way, a project‐based propagation meta‐table, to specify what parts of a CAD information model should be communicated to other collaborating designers. A CAD peer manager, containing a peer database that stores information to be exchanged with the other collaborators, wraps each participating CAD system. The peer manager identifies changes made to the CAD model by using stored procedures and active rules in the peer database that are automatically generated based on the propagation meta‐table. The identified updates are propagated in a timely manner to other peers via inter‐database message passing, thereby minimizing the volume of necessary information to be exchanged. Furthermore, remote peer designers can flexibly incorporate, filter, or delete received updates by using a propagation control interface, which is also used to issue user's commands to download the data from the CAD system to the peer database and lookup the received messages in the peer database. The approach is applicable on any CAD system having a CORBA interface and can also be applied to other kinds of object‐oriented interfaces. Copyright © 2007 John Wiley & Sons, Ltd.     

Affective forecasting of value creation: professional nurses' ability to predict and remember the experienced value of a telemedicine diagnostics ICT service

New innovations that can transform societies and improve life for people are increasingly being asked for. Unfortunately, some avenues of research indicate that users of these new innovations may be inaccurate when they predict or remember the value of such new offerings. For example, the rapid development of new ICT services in areas such as health care may imply opportunities for better life conditions and well-being, but may also involve complicated predictions for users about the value they will create. New innovations may face adoption difficulties if users make inaccurate predictions or remember falsely the value that such innovations might have. In this study, 48 nurses predicted, experienced, and remembered the value of a new ICT service they used to diagnose an external skin lesion on a patient. Results showed significant differences between predicted and experienced value as well as between a service with high technical quality and the same service with lower technical quality; the value was underestimated at the time of prediction, as compared to actual experience, and the value of a high-quality ICT service was substantially more underestimated than the value of a low-quality ICT service. The results provide a novel and comprehensive understanding of how employees predict and experience the value of ICT service innovations.     

Research synthesis in software engineering: A tertiary study

Context

Comparing and contrasting evidence from multiple studies is necessary to build knowledge and reach conclusions about the empirical support for a phenomenon. Therefore, research synthesis is at the center of the scientific enterprise in the software engineering discipline.

Objective

The objective of this article is to contribute to a better understanding of the challenges in synthesizing software engineering research and their implications for the progress of research and practice.

Method

A tertiary study of journal articles and full proceedings papers from the inception of evidence-based software engineering was performed to assess the types and methods of research synthesis in systematic reviews in software engineering.

Results

As many as half of the 49 reviews included in the study did not contain any synthesis. Of the studies that did contain synthesis, two thirds performed a narrative or a thematic synthesis. Only a few studies adequately demonstrated a robust, academic approach to research synthesis.

Conclusion

We concluded that, despite the focus on systematic reviews, there is limited attention paid to research synthesis in software engineering. This trend needs to change and a repertoire of synthesis methods needs to be an integral part of systematic reviews to increase their significance and utility for research and practice.     

Acceptance of Health-Related ICT among Elderly People Living in the Community: A Systematic Review of Qualitative Evidence

There are a growing number of seniors and a growing need for health-related ICT (Information and Communication Technology) solutions to allow seniors to live independently in their own homes and communities. We need to have a better understanding of how and why seniors use or do not use health-related ICT in such settings so we can improve our solutions. In order to synthesize existing knowledge, we did a systematic literature review using Scopus and PubMed. We searched for both review articles and primary qualitative studies. Eleven review articles and 31 primary research articles were included in the study. We structured our findings using the UTAUT2 acceptance model developed by Venkatesh et al. Our findings show that seniors want health-related ICT that gives them independence, safety, and security, allows them to socialize and manage their own health, and helps them in their daily activities. They need to easily get help if they have problems using services, get tailored training, and get help during use. Lack of privacy and safety and stigma are some of the reported barriers. Health-related ICT at home is different than both consumer and institutional ICT. We need more research in order to develop a specialized and operationalized acceptance model for health-related ICT use among seniors. Our mapping to UTAUT2 is a step in this direction and suggests a possible specialization of this model.     

Mediator-Based Evolutionary Design and Development of Image Meta-Analysis Environments

We discuss how emerging object-relational database mediator technology can be used to integrate academic freeware and commercial-off-the-shelf software components to create a sequence of gradually more complex and powerful, always semantically and syntactically homogeneous, database centered Image Meta-Analysis Environments. We show how this may be done by definition and utilization of a use-case-based evolutionary design and development process. This process allows subsystems to be produced largely independently by several small specialist subprojects, turning the system integration work into a high-level domain modelling task.     

Query Decomposition for a Distributed Object-Oriented Mediator System

The mediator-wrapper approach to integrate data from heterogeneous data sources has usually been centralized in the sense that a single mediator system is placed between a number of data sources and applications. As the number of data sources increases, the centralized mediator architecture becomes an administrative and performance bottleneck. This paper presents a query decomposition algorithm for a distributed mediation architecture where the communication among the mediators is on a higher level than the communication between a mediator and a data source. Some of the salient features of the proposed approach are: (i) exploring query execution schedules that contain data flow to the sources, necessary when integrating object-oriented sources that provide services (programs) and not only data; (ii) handling of functions with multiple implementations at more than one mediator or source; (iii) multi-phase query decomposition using a combination of heuristics and cost-based strategies; (iv) query plan tree rebalancing by distributed query recompilation.     

Optimized Production and Energy Conservation

The possibilities of energy conservation in a cement factory are great. At least two important energy waste sources can be identified: flue gas heat and electrical energy of fan drives. A study of the Cementa AB factory at Slite, Sweden (production 2.1 million ton/y) shows that even though considerable efforts already have been made in energy saving, the potential is still great. Thus it is estimated that about 40 MW of gas heat can be turned into 3.5 MW of electrical energy. By applying high-efficiency motor drives about 2 MW can be recovered from fan drives. These two sources correspond to a total annual saving of $2.5 million. An investment to recover this energy will be paid back in less than a year.     

Local estimation of lattice constants in HRTEM images

A model-based approach to estimate lattice constants from an atomically resolved HRTEM image is presented. The approach only utilizes the inherent periodicity of these images and does not require a centrosymmetric structure of the specimen. This allows the evaluation of, for instance, wurtzite-based materials like InGaN/GaN heterostructures. The lattice constants are determined within precisions below 3 pm from areas only a few unit cells large. This makes this method suitable for further strain/compositional analysis. Furthermore, the impact of the approximations of the true detector's covariance matrices on the assessment of the model-based approach is investigated, and insights into the quality of these noise models of the detector are gained.