An algorithm for determination of rank and degree of contribution of sMRI volumetric features in depression detection

Brain volume changes at structural level appear to have utmost importance in depression biomarkers studies. However, these brain volumetric findings have very minimal utilization in depression detection studies at individual level. Thus, this paper presents an evaluation of volumetric features to identify the relevant/optimal features for the detection of depression. An algorithm is presented for determination of rank and degree of contribution (DoC) of structural magnetic resonance imaging (sMRI) volumetric features. The algorithm is based on the frequencies of each feature contribution toward the desired accuracy limit. Forty-four volumetric features from various brain regions were adopted for evaluation. From DoC analysis, the DoC of each volumetric feature for depression detection is calculated and the features that dominate the contribution are determined.

Degree of contribution (DoC) feature selection algorithm for structural brain MRI volumetric features in depression detection

Accurate detection of depression at an individual level using structural magnetic resonance imaging (sMRI) remains a challenge. Brain volumetric changes at a structural level appear to have importance in depression biomarkers studies. An automated algorithm is developed to select brain sMRI volumetric features for the detection of depression.

The degree of usability from selected DVD menus and their navigational systems

The purpose of this research is to investigate the usability of DVD interfaces via their menus and navigation, inspired by Donald Norman who has had a pivotal role in user-centred design and usability. The paper encompasses theoretical aspects of interactivity, usability and DVD technology. A usability test was administered with the DVDs chosen. The results from the usability test were the main focus in this research. Such results were supportive of Normanrsquos claims, as participants experienced varying degrees of usability issues. Furthermore, the findings were used to develop a set of guidelines and recommendations designers could follow. If these were adhered to, it would have significantly alleviated the difficulty the participants had in interacting with the DVDs.

The degree of job satisfaction experienced by site-based construction professionals

The construction industry worldwide is having problems attracting and retaining skilled workers. This study analyses a series of factors affecting job satisfaction of site-based construction professionals employed in medium to large scale metropolitan construction firms in Melbourne, Australia. The industry survey carried out identified salary as the strongest determinant of job satisfaction. However, many respondents reported being dissatisfied with pay levels when compared to other industries and the number of work hours expected. The greatest causes of dissatisfaction were related to difficulties in maintaining a work-life balance. The indicator "Variety, interest and challenge" was the most frequently cited positive aspect of a career in construction. Given the shortage of skilled construction workers in Australia, it is important for companies to maximise the retention of site-based construction professionals and ensure that key job satisfaction indicators are met.

Community reintegration of ex-prisoners : type and degree of change in variables influencing successful reintegration

Community reintegration of ex-prisoners is an important issue in efforts to reduce recidivism. The present study examined the multiple, complex, and dynamic nature of variables influencing successful reintegration by assessing the type and degree of change in reintegration variables over time. Participants were 79 adult prisoners (54 male, 25 female) who completed a prerelease questionnaire 1 month before their release, which focused on prison-related variables, participant background, and anticipated conditions upon release. A postrelease questionnaire was administered to the same participants at 1-4 weeks and 3-4 months postrelease, focusing on the quality of life conditions experienced following release. Results indicate that current health ratings and several indicators of drug use were significantly different over the three measurement phases. Ratings of employment and housing stability, finance, and social support were unchanged over the postrelease period. Theoretical implications of the present investigation for reintegration theory are discussed, together with practical applications.

Effect of the degree of crystallinity on the electrochemical behavior of Mg65Cu25Y10 and Mg70Zn25Ca5 bulk metallic glasses

The effect of varying the percent crystallinity on the electrochemical behavior of Mg65Cu25Y10 and Mg70Zn25Ca5 bulk metallic glasses was studied. The alloys were heat-treated to achieve desired microstructures ranging from fully amorphous to fully crystalline, providing a systematic basis for subsequent testing. Potentiodynamic experiments in 0.01 M sodium chloride (NaCl) were used, whereby both the amorphous and partially crystallized samples were observed to have more noble corrosion potentials and lower anodic kinetics. However, this was accompanied by more rapid cathodic kinetics relative to their fully crystalline counterparts, meaning that corrosion rates were not significantly lower in the amorphous state. To describe the electrochemical response as a function of the degree of crystallinity, differential scanning calorimetry (DSC), scanning electron microscopy, x-ray diffraction (XRD), and electrical conductivity measurements were undertaken, where it was found that crystallinity alone is not necessarily the controlling factor and microchemistry that evolves upon devitrification, plays a key role in the electrochemical response of these materials.

Evidence from genetic and Lagrangian drifter data for transatlantic transport of small juvenile green turtles

Aim  A key life-history component for many animals is the need for movement between different geographical locations at particular times. Green turtle (Chelonia mydas) hatchlings disperse from their natal location to spend an early pelagic stage in the ocean, followed by a neritic stage where small juveniles settle in coastal areas. In this study, we combined genetic and Lagrangian drifter data to investigate the connectivity between natal and foraging locations. In particular we focus on the evidence for transatlantic transport. Location  Atlantic Ocean.

Methods  We used mitochondrial DNA (mtDNA) sequences (n = 1567) from foraging groups (n = 8) and nesting populations (n = 12) on both sides of the Atlantic. Genetic data were obtained for Cape Verde juvenile turtles, a foraging group not previously sampled for genetic study. Various statistical methods were used to explore spatial genetics and population genetic structure (e.g. exact tests of differentiation, Geneland and analysis of molecular variance). Many-to-many mixed stock analysis estimated the connectivity between nesting and foraging groups.

Results  Our key new finding is robust evidence for connectivity between a nesting population on the South American coast (25% of the Surinam nesting population are estimated to go to Cape Verde) and a foraging group off the coast of West Africa (38% of Cape Verde juveniles are estimated to originate from Surinam), thus extending the results of previous investigations by confirming that there is substantial transatlantic dispersal in both directions. Lagrangian drifter data demonstrated that transport by drift across the Atlantic within a few years is possible.

Main conclusions  Small juvenile green turtles seem capable of dispersing extensively, and can drop out of the pelagic phase on a transatlantic scale (the average distance between natal and foraging locations was 3048 km). Nevertheless, we also find support for the ‘closest-to-home’ hypothesis in that the degree of contribution from a nesting population to a foraging group is correlated with proximity. Larger-sized turtles appear to feed closer to their natal breeding grounds (the average distance was 1133 km), indicating that those that have been initially transported to far-flung foraging grounds may still be able to move nearer to home as they grow larger.

Is domestic violence learned? The contribution of five forms of child maltreatment to men's violence and adjustment

On the basis of a learning-theory approach to the intergenerational transmission of violence, researchers have focused almost exclusively on violent men's childhood experiences of physical abuse and witnessing family violence. Little consideration has been given to the coexistence of other forms of child maltreatment or the role of family dysfunction in contributing to violence. This study shows the relationships between the level of child maltreatment (physical abuse, psychological maltreatment, sexual abuse, neglect, and witnessing family violence), childhood family characteristics, current alcohol abuse, trauma symptomatology, and the level of physical and psychological spouse abuse perpetrated by 36 men with a history of perpetrating domestic violence who had attended counseling. As hypothesized, a high degree of overlap between risk factors was found. Child maltreatment, low family cohesion and adaptability, and alcohol abuse was significantly associated with frequency of physical spouse abuse and trauma symptomatology scores, but not psychological spouse abuse. Rather than physical abuse or witnessing family violence, childhood neglect uniquely predicted the level of physical spouse abuse. Witnessing family violence (but not physical abuse) was found to have a unique association with psychological spouse abuse and trauma symptomatology. These results present a challenge to the understanding of domestic violence obtained from learning theory.

Understanding residential house prices : examining the contribution of social area analysis

A complete understanding of residential housing markets, particularly in relation to variations in house prices both within and between suburbs, continues to present challenges to property researchers and forecasters. Factors affecting changes in housing demand are not yet completely understood, and accordingly market changes cannot always be confidently predicted. Most urban cities contain precincts that have high or low house values at the same time, regardless of characteristics such as distance to the city centre, location of transport or topography. Exactly why these variations in suburb values occur is often unclear, although local residents are able to easily identify differences between the status of each suburb, especially when one area is clearly perceived as superior to another. Consequently, houses in premium suburbs are sold for substantially more than houses in other areas, primarily due to this perceived higher demand. An understanding of reasons behind varying levels of buyer demand has always been difficult to fully encapsulate in housing studies, even though clear links have been observed between housing affordability and the type of inhabitant that would live in a particular area. This study confirms that traditional economic indicators can not always observe the degree of purchaser and vendor willingness in the residential property market, as per the International Valuation Standards Committee definition of market value, and substantial consideration must also be given to characteristics of individual buyers and sellers within the marketplace. No longer can the focus be narrowly focussed just on endogenous factors such as interest rates and inflation levels.
Accordingly, this research draws the disciplines of demography and housing research closer together and looks to social indicators for an insight into the level of house prices. To establish this link, a two-stage process is adopted where social area analysis initially identifies the characteristics of suburbs within an urban area. This information is then used to examine variations in suburb values, resulting in a clearer understanding of the relationship between demographic variables and house prices. This research analysed changes in the value of established residential house prices in Melbourne, Australia as well as the relationship with social structure. The added dimension of time highlighted change, with data drawn from 1996 and 2001. The results confirmed the existence of strong linkages between social constructs and established house prices. Whilst acknowledging that the overall level of house values is influenced by external economic and political factors, differences between suburb values can be explained by demographic variables. The results confirm that increased emphasis must be placed upon demography when seeking to understand variations in residential property values between urban areas.