Choice: personal stories about abortion

Abortion has been available in Australia since the early 1970s and several generations of women have freely accessed abortion in that time. And yet it seems that talking openly about it remains one of the last taboos. The program attempts to break through that barrier and, in doing so, contribute to the ongoing debate that continues to surround this highly contentious issue. Director, Don Parham has built the narrative of The Choice around six stories with people from diverse backgrounds and various ages. These people share their most intimate thoughts about what it was like to be suddenly confronted with an unwanted or unplanned pregnancy. Their stories reveal the varied and complex circumstances in which people struggle to work through their options and make, what is, for most, a difficult choice.

Optimal lag-length choice in stable and unstable VAR models under situations of homoscedasticity and ARCH

The performance of different information criteria - namely Akaike, corrected Akaike (AICC), Schwarz-Bayesian (SBC), and Hannan-Quinn - is investigated so as to choose the optimal lag length in stable and unstable vector autoregressive (VAR) models both when autoregressive conditional heteroscedasticity (ARCH) is present and when it is not. The investigation covers both large and small sample sizes. The Monte Carlo simulation results show that SBC has relatively better performance in lag-choice accuracy in many situations. It is also generally the least sensitive to ARCH regardless of stability or instability of the VAR model, especially in large sample sizes. These appealing properties of SBC make it the optimal criterion for choosing lag length in many situations, especially in the case of financial data, which are usually characterized by occasional periods of high volatility. SBC also has the best forecasting abilities in the majority of situations in which we vary sample size, stability, variance structure (ARCH or not), and forecast horizon (one period or five). frequently, AICC also has good lag-choosing and forecasting properties. However, when ARCH is present, the five-period forecast performance of all criteria in all situations worsens.

The effect of active support training on engagement, opportunities for choice, challenging behaviour and support needs

Background: The aim of this study was to evaluate active support (AS) training and to investigate changes to perceived engagement in domestic tasks, opportunities for choice, frequency of challenging behaviour, and level of support needs.

Method: Participants were 12 adults with ID aged 27–57 years (M = 37 years) residing in three group homes, and their support workers. The support workers completed assessments on three occasions (at baseline, post-training, and at follow-up).

Results: Residents' engagement in domestic tasks increased over time, and overall choice increased, although perceived choice in two life domains initially increased, but decreased to baseline levels at follow-up. Residents exhibited an overall decrease in anxiety, self-absorbed behaviour, disruptive behaviour, and problem behaviour in general. There was also an overall decrease in perceived support needs for five activity domains, with no change for one domain.

Conclusions: The results contribute to a growing body of evidence demonstrating favourable outcomes of AS in terms of engagement and challenging behaviour in people with ID. Surprising results are presented for choice and perceived support needs, warranting further investigation.

Leaders and their teams : learning to improve performance with emotional intelligence and using choice theory

Looks at the relationship between emotional intelligence and choice theory in the work world, with particular emphasis on the implications on health and productivity. Most of us have a managing or leading role of some sort, whether at home, in community life, or at work. Also, as a professional, one can be leading through professional expertise and not necessarily because of one's place in the organizational hierarchy. There is an increasing awareness of the role of leadership and team development in organizational development, for example in health care where change is needed to manage the chronic disease burden (Dunbar et al., 2007) and utilizing and retaining a dwindling workforce (Schoo, Stagnitti, Mercer, & Dunbar, 2005). This is forcing leaders and their teams to work as smart as they can with resources that are available to them. Positive leadership has been associated with outcomes that include happy relationships, teamwork, learning, recognition, staff retention, and health and wellbeing. There is evidence that emotionally intelligent leaders in workplaces are able to bring about these positive out- comes because they are attuned to the emotions that move people around them (Goleman, Boyatzis, & McKee, 2002). In this sense, emotion can be defined as aroused energy that takes a direction (Hunt, 2004a) (Latin: e = from, movere = to move). Valerie Hunt regards emotion as the metronome of life (Hunt, 2004b). Although emotion can be a feeling state (e.g., fear, anger, joy, hate or sorrow) associated with action, its energy is, according to Hunt, directed to action, to behave(Hunt, 2004b). As mentioned in an earlier publication (Schoo, 2005), Pert (Flowers, Grubin, & Meryman-Brunner, 1993) regards emotions as a bridge that connects the mental and physical realities (p.187), and sees neuropeptides as the physical representations of these emotions. Negative thoughts and emotions such as excitement and anger have been found to increase gut motility, cancer risk and arterial plaque formation which can lead to a heart infarct (Pert, 1997), whereas positive emotions seem to do the opposite.

Motivational interviewing in the prevention and management of chronic disease : improving physical activity and exercise in line with choice theory

Discusses the relationship between motivational interviewing and choice theory in working with chronically ill clients/patients.

Dynamic route construction for mobile collectors in wireless sensor networks

Wireless sensor networks with mobile data collectors have been recently proposed for extending the sensor network lifetime. Powerful mobile collectors are deployed to patrol the network and approach the static sensors for collecting their data buffers using single hop communication. The route followed by the mobile collector is very crucial for the data collection operation performed in the network and highly impacts the data collection time. This paper presents a practically efficient algorithm for constructing the mobile collector route. The route is constructed dynamically during the network operational time regardless of the sensors data generation rates. The algorithm acts on minimizing the sleeping time and the number of sensors waiting for the arrival of the mobile collector. Simulation results demonstrate that the presented algorithm can effectively reduce the overall data collection time.