Faith-Based Intervention: Prison, Prayer, and Perseverance

This qualitative article explores the impact of faith-based interventions through the lens of a self-identified practicing Christian: Joanna. For over a decade, Joanna has visited several prisons in the United Kingdom in a faith-based capacity: supporting prisoners, families, and prison chaplaincies. Joanna professes the role of faith and religiosity to be a positive and influential component in the lives of those imprisoned. This paper explores Joanna’s journey of supporting individuals within the prison walls, reflecting on the impact of labels, imprisonment, faith-based intervention, and religiosity. Much of the current research pertaining to faith-based interventions are limited; therefore, the experiences of those who volunteer within prisons in a faith-based capacity is often overlooked. Yet, faith-based intervention and religiosity within a criminal justice context provides several benefits which impact on those in prison, their families, and people working within a prison environment

Improving the use of visual interactive simulation as a knowledge elicitation tool

Knowledge elicitation is a well-known bottleneck in the production of knowledge-based systems (KBS). Past research has shown that visual interactive simulation (VIS) could effectively be used to elicit episodic knowledge that is appropriate for machine learning purposes, with a view to building a KBS. Nonetheless, the VIS-based elicitation process still has much room for improvement. Based in the Ford Dagenham Engine Assembly Plant, a research project is being undertaken to investigate the individual/joint effects of visual display level and mode of problem case generation on the elicitation process. This paper looks at the methodology employed and some issues that have been encountered to date. Copyright © 2007 Inderscience Enterprises Ltd

Linking the Witness Simulation Software to an Expert System to Represent a Decision–Making Process

Expert systems, and artificial intelligence more generally, can provide a useful means for representing decision-making processes. By linking expert systems software to simulation software an effective means of including these decision-making processes in a simulation model can be achieved. This paper demonstrates how a commercial-off-the-shelf simulation package (Witness) can be linked to an expert systems package (XpertRule) through a Visual Basic interface. The methodology adopted could be used for models, and possibly software, other than those presented here

Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system

The performance of most operations systems is significantly affected by the interaction of human decision-makers. A methodology, based on the use of visual interactive simulation (VIS) and artificial intelligence (AI), is described that aims to identify and improve human decision-making in operations systems. The methodology, known as 'knowledge-based improvement' (KBI), elicits knowledge from a decision-maker via a VIS and then uses AI methods to represent decision-making. By linking the VIS and AI representation, it is possible to predict the performance of the operations system under different decision-making strategies and to search for improved strategies. The KBI methodology is applied to the decision-making surrounding unplanned maintenance operations at a Ford Motor Company engine assembly plant

Ionization dynamics in intense pulsed laser radiation. Effects of frequency chirping

Via a non-perturbative method we study the population dynamics and photoelectron spectra of Cs atoms subject to intense chirped laser pulses, with gaussian beams. We include above threshold ionization spectral peaks. The frequency of the laser is near resonance with the 6s-7p transition. Dominant couplings are included exactly, weaker ones accounted for perturbatively. We calculate the relevant transition matrix elements, including spin-orbit coupling. The pulse is taken to be a hyperbolic secant in time and the chirping a hyperbolic tangent. This choice allows the equations of motions for the probability amplitudes to be solved analytically as a series expansion in the variable u=(tanh(pi t/tau)+1)/2, where tau is a measure of the pulse length. We find that the chirping changes the ionization dynamics and the photoelectron spectra noticeably, especially for longer pulses of the order of 10^4 a.u. The peaks shift and change in height, and interference effects between the 7p levels are enhanced or diminished according to the amount of chirping and its sign. The integrated ionization probability is not strongly affected.Comment: Accepted by J. Phys. B; 18 pages, 17 figures. Latex, uses ioplppt.sty, iopl10.sty and psfig.st

Examining Prisoner Experience of an Equine Assisted Psychotherapy

The purpose of this article is to examine prisoner experience of an equine assisted psychotherapy. This article explores the use of therapeutic interventions; specifically focusing on Equine Assisted Psychotherapy (EAP), within this paper EAP constitutes the use of horses in therapy and involves a team approach from equine and mental health experts. This article took a qualitative approach; due to the exploratory nature of this study a phenomenological approach was adopted. IPA was deemed appropriate; the intervention took place in an adult, male, open condition prison in England (Category D) however participants who engaged in the equine intervention were from both the open prison and a nearby closed Category C prison. The equine intervention was delivered by qualified therapists who worked to help improve emotional regulation among participants with a history of drug and alcohol abuse. The findings within this paper identify a strong correlation between EAP and positive experiences expressed by participants. Alternative approaches such as animal assisted therapies are worthy of consideration when attempting to support the rehabilitation and treatment needs of incarcerated clients. Participants achieved a number of goals and their confidence improved as they felt a sense of achievement. This paper demonstrates the complexities of therapeutic interventions. Research relating to EAP in the United Kingdom is few and far between, consequently understanding is limited. This paper seeks to offer an insight into this topic and build upon this research in the future. Access to prison for research purposes is challenging. Due to the nature of this study and the resources required sometimes EAP therapy cannot be implemented in or near many prisons in England and Wales. Therefore gaining access to this prison and exploring the data is the first phase of further research in this area. Researching the way individuals experience therapeutic interventions is a ‘growing phenomenon’. This paper aimed to explore EAP Interventions, however due to the sample size it was imperative that the role of EAP was not misrepresented. Therefore this papers intention is to raise awareness of EAP interventions and therapeutic interventions in prisons in England and Wales. To the authors knowledge no previous study has examined such an intervention using this method and as such the findings of this evaluation are important. Moreover this paper enhances and develops our knowledge about how best to support and treat people with histories of substance use and/or mental health problems and anxiety while in prison, and the vital role such therapies may play

Using a simulation model for knowledge elicitation and knowledge management

The work reported in this paper is part of a project simulating maintenance operations in an automotive engine production facility. The decisions made by the people in charge of these operations form a crucial element of this simulation. Eliciting this knowledge is problematic. One approach is to use the simulation model as part of the knowledge elicitation process. This paper reports on the experience so far with using a simulation model to support knowledge management in this way. Issues are discussed regarding the data available, the use of the model, and the elicitation process itself. © 2004 Elsevier B.V. All rights reserved

Knowledge based improvement:simulation and artificial intelligence for identifying and improving human decision-making in an operations systems

The performance of most operations systems is significantly affected by the interaction of human decision-makers. A methodology, based on the use of visual interactive simulation (VIS) and artificial intelligence (AI), is described that aims to identify and improve human decision-making in operations systems. The methodology, known as 'knowledge-based improvement' (KBI), elicits knowledge from a decision-maker via a VIS and then uses AI methods to represent decision-making. By linking the VIS and AI representation, it is possible to predict the performance of the operations system under different decision-making strategies and to search for improved strategies. The KBI methodology is applied to the decision-making surrounding unplanned maintenance operations at a Ford Motor Company engine assembly plant

Primary U distribution in scleractinian corals and its implications for U series dating

Author Posting. © American Geophysical Union, 2006. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geochemistry Geophysics Geosystems 7 (2006): Q05022, doi:10.1029/2005GC001138.In this study we use microsampling techniques to explore diagenetic processes in carbonates. These processes are important as they can affect the accuracy of U series chronometry. Fission track maps of deep-sea scleractinian corals show a threefold difference between the minimum and maximum [U] in modern corals, which is reduced to a factor of 2 in fossil corals. We use micromilling and MC-ICP-MS to make detailed analyses of the [U] and δ234Uinitial distributions in corals from 218 ka to modern. Within each fossil coral we observe a large range of δ234Uinitial values, with high δ234Uinitial values typically associated with low [U]. A simple model shows that this observation is best explained by preferential movement of alpha-decay produced 234U atoms (alpha-recoil diffusion). Open-system addition of 234U may occur when alpha-recoil diffusion is coupled with a high [U] surface layer, such as organic material. This process can result in large, whole-coral δ234Uinitial elevations with little effect on the final age. The diagenetic pathways that we model are relevant to both shallow-water and deep-sea scleractinian corals since both exhibit primary [U] heterogeneity and may be subject to U addition.We gratefully acknowledge The Comer Foundation for Abrupt Climate Change