This note is yet another opportunity to consider why it is so difficult to develop systems and networks with predictable behavior — and especially those that must satisfy stringent requirements for trustworthiness. We contrast these difficulties with somewhat similar situations in several other fields. In particular, we seek to discover some useful insights from consideration of analogous probl...

We had a success rate of treating low, self-assessed, global quality of life (measured by QOL1: How would you assess the quality of your life now?) with clinical holistic medicine of 56.4% (95% CI: 42.3-69.7%) and calculated from this the Number Needed to Treat (NNT) as 1.43-2.36. We found that during treatment, (in average 20 sessions of psychodynamic psychotherapy complemented with bodywork a...

In clinical holistic practice, it is recommended that ample time is spent with the gynecological or pelvic examination, especially in cases of women with suspected old emotional traumas following early childhood cases of incest or sexual abuse. The holistic principles of holding and processing should be followed with the purpose of healing the patient, re-establishing the natural relationship w...

To date, large-scale applied ontology mapping has relied greatly on label matching and other relatively simple syntactic features. In search of more holistic and accurate alignment, we offer a suite of partially overlapping ontology mapping heuristics which allows us to hypothesise matches and test them against the knowledge in our source ontology (OpenCyc). We thereby automatically align our s...

In this paper, we make an attempt at analyzing the semantic mediation layer of large-scale online networks in a holistic way using graph theoretic tools. We model Peer-to-Peer data networks as graphs, derive a necessary condition to foster semantic interoperability in the large in such graphs, and test our heuristics in the context of an existing bioinformatic portal with hundreds of different ...

Object tracking is a challenging task in many computer vision applications due to occlusion, scale variation and background clutter, etc. In this paper, we propose a tracking algorithm by combining discriminative global and generative multi-scale local models. In the global model, we teach a classifier with sparse discriminative features to separate the target object from the background based o...

Faces are processed holistically, but the locus of holistic processing remains unclear. We created two novel races of faces (Lunaris and Taiyos) to study how experience with face parts influences holistic processing. In Experiment 1, subjects individuated Lunaris wherein the top, bottom, or both face halves contained diagnostic information. Subjects who learned to attend to face parts exhibited...