Carleton University

About: Carleton University is a education organization based out in Ottawa, Ontario, Canada. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 15852 authors who have published 39650 publications receiving 1106610 citations.

Essential Components of Successful Rehabilitation Programs for Offenders

Abstract: A quantitative analysis of 44 rigorously controlled offender treatment studies, published between 1970 and 1991, was undertaken to determine if the factors suggested by previous reviewers to be essential to program success are in fact related to efficacy. The results indicated that only six factors were significantly associated with the efficacy of programs. These factors included: (a) a sound conceptual model; (b) multifaceted programming; (c) the targeting of "criminogenic needs"; (d) the responsivity principle; (e) roleplaying and modeling; and (f) social cognitive skills training. The study raised several questions about the adequacy of research on offender rehabilitation and about the validity of many assertions that have been made about the essential characteristics of effective programs.

Electrical Impedance Tomography: Tissue Properties to Image Measures

Abstract: Electrical impedance tomography (EIT) uses electrical stimulation and measurement at the body surface to image the electrical properties of internal tissues. It has the advantage of noninvasiveness and high temporal resolution but suffers from poor spatial resolution and sensitivity to electrode movement and contact quality. EIT can be useful to applications, where there are conductive contrasts between tissues, fluids, or gasses, such as imaging of cancerous or ischemic tissue or functional monitoring of breathing, blood flow, gastric motility, and neural activity. The past decade has seen clinical application and commercial activity using EIT for ventilation monitoring. Interpretation of EIT-based measures is complex, and this review paper focuses on describing the image interpretation “pathway.” We review this pathway, from Tissue Electrical Properties , EIT Electrodes & Hardware , Sensitivity , Image Reconstruction , Image Processing to EIT Measures . The relationship is discussed between the clinically relevant parameters and the reconstructed properties. An overview is given of areas of EIT application and of our perspectives for research and development.

Smart Modeling of Microwave Devices

Abstract: Modeling and computer-aided design (CAD) techniques are essential for microwave design, especially with the drive towards first-pass design success. We have described neural networks for microwave modeling and design. Neural networks are suitable when modeling a required relationship for which analytical formulas are hard to derive, or for which the computational effort is too high. This relationship can be either of the IO relationship of the overall model (straight neural network model), the output-input relationship (inverse model), a relationship between existing model and desired data (neuro-SM), or relationship of a subpart of the overall model (knowledge based neural network). Neural networks are fast to evaluate, and the neural network formulas are easy to implement into microwave CAD. The simplicity of adding input neurons or hidden neurons makes neural network flexible in handling functions of different dimensions and of different degree of nonlinearity. We have also demonstrated that neural networks are helpful in developing parametric or scalable models for passive and active microwave devices.