Gas Phase Ozone Concentration Comparisons From a Commercial UV Meter and KI Wet-Chemistry Tests

Formal ozone system power-production tests conducted at ten (10) different ozone installations have resulted in over 100 comparative UV meter versus KI wet-chemistry ozone concentration tests for fifteen (15) individual UV meters. The wet-chemistry tests were conducted by different individuals, including the ozone generator manufacturer's technician and owner's staff. In all cases, the tests were either conducted or witnessed by one of the authors. This paper presents results focused on: 1) precision of UV meter readings, 2) accuracy of the wet-test meter or the UV meter, and 3) expected range in percent difference between UV meter readings and KI wet-chemistry test ozone concentration results for the particular type of UV meter and wet-test meter used in the tests.     

Canonical parameterization of excess motor degrees of freedom withself-organizing maps

The problem of sensorimotor control is underdetermined due to excess (or "redundant") degrees of freedom when there are more joint variables than the minimum needed for positioning an end-effector. A method is presented for solving the nonlinear inverse kinematics problem for a redundant manipulator by learning a natural parameterization of the inverse solution manifolds with self-organizing maps. The parameterization approximates the topological structure of the joint space, which is that of a fiber bundle. The fibers represent the "self-motion manifolds" along which the manipulator can change configuration while keeping the end-effector at a fixed location. The method is demonstrated for the case of the redundant planar manipulator. Data samples along the self-motion manifolds are selected from a large set of measured input-output data. This is done by taking points in the joint space corresponding to end-effector locations near "query points", which define small neighborhoods in the end-effector work space. Self-organizing maps are used to construct an approximate parameterization of each manifold which is consistent for all of the query points. The resulting parameterization is used to augment the overall kinematics map so that it is locally invertible. Joint-angle and end-effector position data, along with the learned parameterizations, are used to train neural networks to approximate direct inverse functions.     

Legal, professional, and financial constraints on psychologists' delivery of health care services in school settings.

Psychologists' participation in the delivery of health care (HC) services in schools will be determined in part by legal, professional, and financial constraints. Legal parameters include both current and proposed federal and state legislation related to education and HC as well as licensing and credentialing issues and legal and ethical complications arising from service integration across disciplines. Recognition of psychologists as HC providers in schools is also likely to be affected by credentials and standards for practice issued by various government agencies or professional associations and by the funding mechanisms established to support a reformed American HC system. The purpose of this article is to stimulate exploration of solutions for the obstacles and innovative responses to the opportunities presented for psychologists' participation in the delivery of HC services in schools. (PsycINFO Database Record (c) 2010 APA, all rights reserved)