An integrated spiritual practice framework for use within social work

Social work continues to move towards the incorporation of spirituality within social work theory and practice, yet gaps remain at many levels. The current dearth of theorization of spirituality in social work has created a situation where individual social workers wishing to include spirituality in their practice are forced to rely on their own initiative and inventiveness, with no clear theoretical, practical, or ethical guidelines. This article presents the beginnings of an integrated spiritual practice framework which may help to address some of these concerns. This research scrutinized the proposed Integrated Spiritual Practice Framework (ISPF) through literature survey of three spiritual ideologies (Hinduism, Islam, and Buddhism) using the process of metatriangulation. The study found that each ideological perspective provided evidence and support for the structures and concepts of the ISPF. Through the analysis and theory building process, each ideology contributed greater understanding of components of the ISPF, resulting in a more sophisticated and developed framework for integrating spirituality within social work.

Spiritual paradigms : a response to concerns within social work in relation to the inclusion of spirituality

The current exploration to incorporating spirituality within social work has left many unanswered questions. This paper explores four identified spiritual paradigms articulated and authenticated through the survey of literature of three spiritual ideologies (Hinduism, Islam, and Buddhism) using the process of meta-triangulation. This paper offers the beginnings of a possible answer to some of the central questions, through the articulation of spiritual paradigms that already exist in a language and format that will make them accessible to social work.

Genetic algorithm based PI controller tuning for induction motor drive with ANN flux estimator

This paper presents a Genetic Algorithm (GA) based fast speed response controller for poly-phase induction motor drive. Here the proportional and integral gains of PI controller are optimized by GA to achieve quick speed response. An adaptive Recurrent Neural Network (RNN) with Real Time Recurrent Learning (RTRL) algorithm is proposed to estimate rotor flux. An online tuning scheme to update the weight of RNN is presented to overcome stator resistance variation problem. This tuning scheme requires torque estimator to calculate the torque error. Space vector modulation (SVM) technique is used to produce the motor input voltage. Simulation tests have been performed to study the dynamic performances of the drive system for both the classical PI and the genetic algorithm based PI controllers.

Development and piloting of an exposure database and surveillance system for DOE cleanup operations

An industrial hygiene exposure database and surveillance system was developed in partnership between National Institute for Occupational Safety and Health (NIOSH)-funded independent investigators and practicing industrial hygienists at the Rocky Flats Environmental Technology Site (RFETS) in Golden, Colo. RFETS is a former U.S. Department of Energy nuclear weapons plant that is now in cleanup phase. This project is presented as a case study in the development of an exposure database and surveillance system in terms that are generalizable to most other industries and work contexts. Steps include gaining organizational support; defining system purpose and scope; defining database elements and coding; planning practical and efficient analysis strategies; incorporating reporting capabilities; and anticipating communication strategies that maximize the probability that surveillance findings will feed back to preventive applications. For each of these topics, the authors describe both general considerations as well as the specific choices made for this system. An important feature of the system is a two-tier task-coding scheme comprising 33 categories of task groups. Examples of grouped analyses of exposure data captured during the system pilot period demonstrate applications to exposure control, medical surveillance, and other preventive measures. Reprinted by permission of the publisher.

Engineers' professional learning: a practice-theory perspective

With the increasing challenges facing professional engineers working in more complex, global and interdisciplinary contexts, different approaches to understanding how engineers practice and learn are necessary. This paper draws on recent research in the social sciences from the field of workplace learning, to suggest that a practice-theory perspective on engineers' professional learning is fruitful. It shifts the focus from the attributes of the individual learner (knowledge, skills and attitudes) to the attributes of the practice (interactions, materiality, opportunities and challenges). Learning is thus more than the technical acquisition and transfer of knowledge, but a complex bundle of activities, that is, social, material, embodied and emerging. The paper is illustrated with examples from a research study of the learning of experienced engineers in the construction industry to demonstrate common practices – site walks and design review meetings – in which learning takes place.

What young people say about physical activity: the children's sport and physical activity study

The Children’s Sport Participation and Physical Activity (CSPPA) study is a unique multi-centre/ discipline study undertaken by three Irish institutions, Dublin City University, University of Limerick and University College Cork. The study sought to assess participation in physical activity, physical education and sport (PAPES) among 10-18 year olds in Ireland. This paper shares what Irish children and young people convey, using their own voices, about their sport and physical activity (PA) experiences and how such experiences may result in their feeling included or excluded in PAPES. Eighteen focus groups (FG) with 124 boys and girls elicited descriptive data from students and were conducted with homogeneous groups of 6-8 boys and girls aged 12-18 years (selected for convenience) identified as male/female, primary/post-primary and generally active/ inactive. Five themes (‘being with friends’, ‘variety in activity content’, ‘experiencing fun’, ‘time constraints’ and ‘opportunity to be outside’) ran across the three PAPES opportunities for young people. Overall data revealed that these young people have a positive attitude towards PA which does not diminish as they age despite activity levels decreasing. Other choices of activity participation (e.g. debate, music), or more focused activities took the place of previous choices as young people came to realise what they most enjoyed. If we are to encourage and provide opportunities for young people to choose active lifestyles, it is important that we address what these young people report affects their involvement in PA across a number of contexts. Two such developments within Irish school and community contexts are discussed: Active School Flag initiative and Senior Cycle Physical Education framework.

Development of a dynamic surface roughness monitoring system based on artificial neural networks (ANN) in milling operation

Dynamic surface roughness prediction during metal cutting operations plays an important role to enhance the productivity in manufacturing industries. Various machining parameters such as unwanted noises affect the surface roughness, whatever their effects have not been adequately quantified. In this study, a general dynamic surface roughness monitoring system in milling operations was developed. Based on the experimentally acquired data, the milling process of Al 7075 and St 52 parts was simulated. Cutting parameters (i.e., cutting speed, feed rate, and depth of cut), material type, coolant fluid, X and Z components of milling machine vibrations, and white noise were used as inputs. The original objective in the development of a dynamic monitoring system is to simulate wide ranges of machining conditions such as rough and finishing of several materials with and without cutting fluid. To achieve high accuracy of the resultant data, the full factorial design of experiment was used. To verify the accuracy of the proposed model, testing and recall/verification procedures have been carried out and results showed that the accuracy of 99.8 and 99.7 % were obtained for testing and recall processes.