Most online handwriting word recognition (HWR) approaches proceed by segmenting words into isolate characters which are recognized separately. Inspired by results in cognitive psychology, holistic word recognition approaches provides another effective way to deal the problem of HWR. In this paper, we propose a new method for rotation free online unconstrained Chinese word recognition through a ...

Although intentionality has been implicated as a causal variable in healing research, its definition has been inconsistent and vague. The objective of this grounded theory study is to develop a substantive theory of intentionality in a naturalistic encounter between nurse-healers and their healee-clients, and to consider the implications for practice and research. Six expert nurse-healers and s...

Face recognition has been an important issue in computer vision and pattern recognition over the last several decades (Zhao et al., 2003). While human can recognize faces easily, automated face recognition remains a great challenge in computer-based automated recognition research. One difficulty in face recognition is how to handle the variations in expression, pose and illumination when only a...

This article relates problem solving to the common approaches of the gestalt-holistic philosophies of systems analysis, risk analysis, and Stephen Covey's Seven Habits of Highly Effective People. Guiding principles developed on the basis of these philosophies provide the foundations for methodological frameworks that build on a plethora of theory, methods, tools, and techniques. Although system...

BACKGROUND Xiao-Ke-An (XKA) is a Chinese medicine widely used for treating type 2 diabetes mellitus (T2D). It is composed of eight herbal medicines traditionally used for T2D, including Rehmannia glutinosa Libosch, Anemarrhena asphodeloides Bunge, Coptis chinensis Franch, etc. The aim of the present study was to investigate the antidiabetic effects of XKA with both conventional and holistic omi...

This paper reports some experiments which assess the potential of footsteps as a biometric. We present a semiautomatic capture system and report results on a database with independent development and evaluation datasets comprised of more than 3000 footsteps collected from 41 persons. We present an optimisation of geometric and holistic features extraction approaches. An equal error rate of 10% ...