A project team from the United Kingdom Oncology Nursing Society developed a blended e-learning website to facilitate nurses to further develop their confidence and competencies in a range of skills related to assessing the holistic needs of people with cancer. The project team identified three areas which were integral to an holistic needs assessment (HNA) implementation project. These were pro...

Biomedical information extraction (BioIE) is important to many applications, including clinical decision support, integrative biology, and pharmacovigilance, and therefore it has been an active research. Unlike existing reviews covering a holistic view on BioIE, this review focuses on mainly recent advances in learning based approaches, by systematically summarizing them into different aspects ...

Two themes of computer graphics, namely computer-generated color and computer-generated visualization, are introduced in a teaching/learning tool using a breadth-first approach. The breadth-first approach provides a holistic view of the topics to teach, aids in interdisciplinary teaching and is equally motivating to male and female students. The breadth-first approach has now been used for seve...

Evaluating Communication for Development presents a comprehensive framework for critically thinking about and understanding development, social change, and the evaluation of communication for development (C4D). This framework combines the latest thinking from a number of fields in new ways. The authors critique dominant measurement-oriented and upward accountability approaches to development an...

Connectionist holistic parsing offers a viable and attractive alternative to traditional algorithmic parsers. With exposure to a limited subset of grammatical sentences and their corresponding parse trees only, a holistic parser is capable of learning inductively the grammatical regularity underlying the training examples that affects the parsing process. In the past, various connectionist pars...

HOLISTIC SHAPE-BASED OBJECT RECOGNITION USING BOTTOM-UP IMAGE STRUCTURES Praveen Srinivasan Jianbo Shi, Associate Professor of Computer and Information Science Object recognition performance that rivals human ability is one of the primary goals of computer vision research. While recognition may take many forms, key tasks include detection, estimating object pose, and segmenting the object from ...