Ultra-compact dwarf galaxies: a new class of compact stellar system discovered in the Fornax Cluster

We have used the 2dF spectrograph on the Anglo-Australian Telescope to obtain a complete spectroscopic sample of all objects in the magnitude range, 16.5 < bj < 19.8, regardless of morphology, in an area centred on the Fornax Cluster of galaxies. Among the unresolved targets are five objects which are members of the Fornax Cluster. They are extremely compact stellar systems with scale lengths less than 40 parsecs. These ultra-compact dwarfs are unlike any known type of stellar system, being more compact and significantly less luminous than other compact dwarf galaxies, yet much brighter than any globular cluster.

Outcome research in psychodynamic psychotherapy: Psychological, social and neuropsychological factors

While many studies have demonstrated positive outcomes from psychotherapy when it is practiced in a controlled research environment with carefully selected (or excluded) patient groups and rigid manualised therapy sessions there is a paucity of research regarding effective outcomes from psychotherapy as it is practiced in actual clinical conditions. The aim of this series of studies was to investigate outcomes, using an effectiveness approach, from psychodynamic psychotherapy as it is practiced by private psychiatrists. Three studies were planned. The aim of Study 1 was to provide standardized baseline measures on the following dimensions • Personal Demographic Information (PDI), • Target Symptoms and Disorders (TSD) including a neuropsychological profile • Inter and Intra Personal (IIP) factors, and, • General Functioning and Quality of Life (GFQoL) factors. Study 2 aimed to examine changes in patient characteristics during the course of treatment. Thus, baseline assessments were repeated at sixmonthly intervals to determine if therapy had been effective for individual patients. A third study was planned to assess the extent to which the results of significant outcome predictors could be replicated in different patient samples. Twenty-nine psychiatrists consented to refer patients with 20 patients having completed pre therapy assessments and six and 18-month follow-up questionnaires. The presentation of this research will focus on the interesting research methodology utilized, patient demographic characteristics and on the patient changes occurring over time on the dimensions of Defence Style (DSQ), Quality of Life (WHOQOL- Bref) and the severity of depression (BDI). The patient sample included 10 male and 10 female patients, whose ages ranged from 19 years to 66 years (mean = 43 years). While seven of the patients did not meet SCID-IV criteria for a current DSM-IV Axis 1 disorder, six patients met criteria for a current mood disorder, three for panic disorder, one patient each for PTSD, alcohol abuse and dependence, and 2 patients met current criteria for multiple Axis 1 disorders. The research is ongoing.

Jurors' responses to expert witness testimony: The effects of gender stereotypes

The present study investigated whether the impact of expert testimony was influenced by the congruency between the gender of the expert and the gender orientation of the case. Participants (N = 62) read a trial transcript involving a price-fixing allegation in either a male or female oriented domain. Within the case, the gender of the expert was manipulated. As predicted, the impact of the expert (e.g. damage awards) was greater when the gender of the expert and domain of the case were congruent as opposed to incongruent. Results also indicated that the impact of gender-domain congruency was particularly pronounced following group discussion. In addition, there was evidence that this effect was mediated through participants' evaluations of the expert witness.

Inter-subband redundancy prediction using neural network for video coding

High performance video codec is mandatory for multimedia applications such as video-on-demand and video conferencing. Recent research has proposed numerous video coding techniques to meet the requirement in bandwidth, delay, loss and Quality-of-Service (QoS). In this paper, we present our investigations on inter-subband self-similarity within the wavelet-decomposed video frames using neural networks, and study the performance of applying the spatial network model to all video frames over time. The goal of our proposed method is to restore the highest perceptual quality for video transmitted over a highly congested network. Our contributions in this paper are: (1) A new coding model with neural network based, inter-subband redundancy (ISR) prediction for video coding using wavelet (2) The performance of 1D and 2D ISR prediction, including multiple levels of wavelet decompositions. Our result shows a short-term quality enhancement may be obtained using both 1D and 2D ISR prediction.