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This paper aims to present a method based on hidden Markov models (HMM) for extracting information from web news.

The samples under study are derived from the contents of PROC “People's Daily Online,” a web‐based news publication containing non‐structured archives. This study focuses on developing HMM‐based tools for news filtering in order to retrieve terms of interest, such as “Geo‐location,” “System,” and “Personas.” The experiments are performed in two stages. In the first stage, each HMM being built is exclusively serving for extracting unique target term in order to evaluate the fundamental information extraction (IE) capability. In the second stage, the experiment is then extended to resolve a more complex, multi‐term extraction issue.

The results reveal that, by using HMMs as a basis, the accuracies (F‐measure) for unique IE tasks can achieve more than 70 per cent on average, while no fewer than 66 per cent accuracies are obtained for multi‐term extraction.

The study reveals the promising of using HMM for developing automatic tool in filtering free‐structured data.

The application of robots to industrial problems often requires grasping and manipulation of the work piece. The robot is able to perform a task adequately only when it is assigned proper tooling and adequate methods of grasping and handling work pieces. The design of such a task requires an in‐depth knowledge of several interrelated subjects including: gripper design, force, position, stiffness and compliance control and grasp configurations. In this paper, we review the research finding on these subjects in order to present in a concise manner, which can be easily accessed by the designers of robot task, the information reported by the researchers, and identify based on the review, future research directions in these areas.

China around 1900 was an enormous domain with approximately 400 million people, almost all of them desperately poor. Most were farmers, working intensively on small tracts of land using relatively primitive technology. It was in many respects a Malthusian economy, with high death and birth rates and many residents living close to the subsistence level.

Here, this study aims to report a case study of the initial design and programme theory of an interdisciplinary work-focused relational group cognitive behaviour therapy (CBT) treatment programme for moderate-severe depression using realist methods.

This case study shows how the authors designed the intervention using component analysis of existing literature and focus groups of frontline practitioners and former service users and mind-mapping analysis to establish its operational logic and evaluated the theory underpinning the intervention using realist synthesis and evaluation to establish its conceptual logic.

An iterative hybrid approach of literature review, component analysis, focus group discussion and realist methods established the initial design and programme theory for the new intervention. The intervention focused on three areas of therapy, three inter-dependent outcomes, in a group format, with opportunities created for peer interaction. The main theoretical principles most likely to promote efficacy were to accelerate and optimise activation of one or more of six hypothesised mechanisms: realise, reflect, regulate, resolve, relate and retain/resume in the context of skilfully facilitated group psychotherapy.

This study outlines a methodological approach based on the layered ontology of critical realist philosophy, applied to a successful example, which will be useful during the early stages of the design and development of new group-based psychotherapeutic interventions.

By adopting the critical realist approach, the authors identified underlying mechanisms of change in relational group CBT. The theoretically integrated approach involving service users and practitioners from different professional backgrounds was unique and meant that the treatment programme was multi-modal rather than informed by a single therapeutic or theoretical approach.

The purpose of this paper is to outline a two-year project designed to reduce health inequalities and improve health outcomes of people with intellectual disabilities using health services in South London by raising awareness and increasing health staff confidence and capability.

The project was conducted in two stages. In stage 1, a mapping exercise was undertaken to establish existing intellectual disabilities education and training availability. In stage 2, a network of stakeholders was formed and education and training materials were developed and delivered.

A formal evaluation of the project is underway and this paper seeks to share information about the project. That said prima facie data appear to indicate that health staff who attended education and training events learned new knowledge and skills that they could implement in their practice, increasing confidence and capability.

Health staff who attended the events appeared to have an interest in intellectual disabilities and wanted to increase their knowledge and skills base. This means that there is a significant group of health staff that the project was unable to reach or who may not know that they need to know about intellectual disabilities. The results of the project have not yet been formally analysed.

Work-based education and training events can have a positive impact on health staff capability and confidence, however, it would appear that only those who already have an interest in the field or recognise its value to their own practice attend such events. To truly capture all health staff intellectual disabilities needs to be visibly included in all health curricula.

This project has not focussed on one profession or one aspect of healthcare and has embraced the values of inter professional and inter agency learning; this has enabled health staff to learn from each other and think in a “joined up” way replicating the realities of providing healthcare to people with intellectual disabilities.