Brunel University London

About: Brunel University London is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Context (language use) & Large Hadron Collider. The organization has 10918 authors who have published 29515 publications receiving 893330 citations. The organization is also known as: Brunel & University of Brunel.

Datalog+/-: A Family of Logical Knowledge Representation and Query Languages for New Applications

Abstract: This paper summarizes results on a recently introduced family of Datalog-based languages, called Datalog+/-, which is a new framework for tractable ontology querying, and for a variety of other applications. Datalog+/- extends plain Datalog by features such as existentially quantified rule heads and, at the same time, restricts the rule syntax so as to achieve decidability and tractability. In particular, we discuss three paradigms ensuring decidability: chase termination, guardedness, and stickiness.

Towards new forms of knowledge communication: the adaptive dimension of a web-based learning environment

Abstract: Adaptive Educational Hypermedia Systems aim to increase the functionality of hypermedia by making it personalised to individual learners. The adaptive dimension of these systems mainly supports knowledge communication between the system and the learner by adapting the content or the appearance of hypermedia to the knowledge level, goals and other characteristics of each learner. The main objectives are to protect learners from cognitive overload and disorientation by supporting them to find the most relevant content and path in the hyperspace. In the approach presented in this paper, learners’ knowledge level and individual traits are used as valuable information to represent learners’ current state and personalise the educational system accordingly, in order to facilitate learners to achieve their personal learning goals and objectives. Learners’ knowledge level is approached through a qualitative model of the level of performance that learners exhibit with respect to the concepts they study and is used to adapt the lesson contents and the navigation support. Learners’ individual traits and especially their learning style represent the way learners perceive and process information, and are exploited to adapt the presentation of the educational material of a lesson. The proposed approach has been implemented through various adaptation technologies and incorporated into a prototype hypermedia system. Finally, a pilot study has been conducted to investigate system’s educational effectiveness. # 2002 Elsevier Science Ltd. All rights reserved.

How does ownership structure affect capital structure and firm value?: Recent evidence from East Asia

Abstract: The present paper examines the effects of ownership structures on capital structure and firm valuation. It argues that the effects of separation of control from cash flow rights on capital structure and firm value also depend on the separation of control from management as well as on legal rules and enforcement defining investors’ protection. We obtain firm-level panel data (three stage least squares, 3SLS) estimates from four of the East Asian countries worst affected by the last crisis. There is evidence that the general wisdom that higher control than cash flow rights may lower firm value may be reversed among owner-managed family firms in the sample countries.

Models of motivation in software engineering

Abstract: Motivation in software engineering is recognized as a key success factor for software projects, but although there are many papers written about motivation in software engineering, the field lacks a comprehensive overview of the area. In particular, several models of motivation have been proposed, but they either rely heavily on one particular model (the job characteristics model), or are quite disparate and difficult to combine. Using the results from our previous systematic literature review (SLR), we constructed a new model of motivation in software engineering. We then compared this new model with existing models and refined it based on this comparison. This paper summarises the SLR results, presents the important existing models found in the literature and explains the development of our new model of motivation in software engineering.

Skin-sparing mastectomy.

Abstract: Background Skin-sparing mastectomy represents a new surgical approach that allows a mastectomy while preserving the natural skin envelope of the breast. It facilitates immediate breast reconstruction using an implant or myocutaneous flap, resulting in excellent cosmesis. Data sources A PubMed database literature search was performed. Conclusions Skin-sparing mastectomy is an oncologically safe technique in selected cases; T1/T2, multicentric tumors, ductal carcinoma in situ, and prophylactic mastectomies are particularly suited to this technique. Further research is required to confirm oncologic safety in T3 tumors. In selected cases, the nipple-areola complex can be preserved. A modification of skin-sparing mastectomy includes the removal of the nipple while preserving the areola. The balance of evidence suggests that skin-sparing mastectomy does not increase the risk of locoregional recurrence. Furthermore, it does not delay adjuvant therapies. Contraindications to skin-sparing mastectomy approaches include inflammatory breast cancer and extensive skin involvement by tumor. Preoperative and postoperative radiotherapy are not a contraindication to skin-sparing mastectomy.