Procedural and declarative memory in children with and without specific language impairment

Background: Much evidence has accumulated to indicate memory deficits in children with specific language impairment. However, most research has focused on working memory impairments in these children. Less is known about the functioning of other memory systems in this population.

Aims: This study examined procedural and declarative memory in young children with and without specific language impairment.

Methods & Procedures: A total of 15 children with specific language impairment and 15 non-impaired children of comparable age, gender and handedness were presented with measures of procedural and declarative memory. Procedural memory was assessed using a Serial Reaction Time (SRT) Task in which children implicitly learnt a ten-item sequence pattern. Declarative memory for verbal and visual information was assessed using paired associative learning tasks.

Outcomes & Results: The results from the SRT Task showed the children with specific language impairment did not learn the sequence at levels comparable with the non-impaired children. On the measures of declarative memory, differences between the groups were observed on the verbal but not the visual task. The differences on the verbal declarative memory task were found after statistically controlling for differences in vocabulary and phonological short-term memory.

Conclusions & Implications: The results were interpreted to suggest an uneven profile of memory functioning in specific language impairment. On measures of declarative memory, specific language impairment appears to be associated with difficulties learning verbal information. At the same time, procedural memory is also appears to be impaired. Collectively, this study indicates multiple memory impairments in specific language impairment.

Normative life satisfaction: measurement issues and a homeostatic model

Previous studies have established that, when life satisfaction is measured over a range from 0 to 100 the mean scores of Western populations average 75 ± 2.5. The consistency of these data has given rise to the idea that life satisfaction may be held under homeostatic control. This paper further investigates this hypothesis by examining the distribution of data within populations. It also examines these data with a view to elucidating various methodological issues regarding life satisfaction measurement. In terms of the methodological issues it is concluded that measurement is best achieved using bi-directional Likert scales with at least 11 choice points. It is also determined that the life satisfaction of Western populations did not change over the decade 1980–1990, and that data derived from college students cannot be validly employed as proxy general population data. In terms of data distribution, it is calculated that the normal range of life satisfaction within Western populations lies within the range 40 to 100. The consistency of this non-normal distribution is argued to be further evidence that life satisfaction is held under homestatic control, and a descriptive model is proposed.

Development and application of model of resource utilization, costs, and outcomes for stroke (MORUCOS): an Australian economic model for stroke.

Objectives: To outline the development, structure, data assumptions, and application of an Australian economic model for stroke (Model of Resource Utilization, Costs, and Outcomes for Stroke [MORUCOS]). Methods: The model has a linked spreadsheet format with four modules to describe the disease burden and treatment pathways, estimate prevalence-based and incidence-based costs, and derive life expectancy and quality of life consequences. The model uses patient-level, community-based, stroke cohort data and macro-level simulations. An interventions module allows options for change to be consistently evaluated by modifying aspects of the other modules. To date, model validation has included sensitivity testing, face validity, and peer review. Further validation of technical and predictive accuracy is needed. The generic pathway model was assessed by comparison with a stroke subtypes (ischemic, hemorrhagic, or undetermined) approach and used to determine the relative cost-effectiveness of four interventions. Results: The generic pathway model produced lower costs compared with a subtypes version (total average first-year costs/case AUD$15,117 versus AUD$17,786, respectively). Optimal evidence-based uptake of anticoagulation therapy for primary and secondary stroke prevention and intravenous thrombolytic therapy within 3 hours of stroke were more cost-effective than current practice (base year, 1997). Conclusions: MORUCOS is transparent and flexible in describing Australian stroke care and can effectively be used to systematically evaluate a range of different interventions. Adjusting results to account for stroke subtypes, as they influence cost estimates, could enhance the generic model.

Geometric shape errors in forging: developing a metric and an inverse model

The complexity of the forging process ensures that there is inherent variability in the geometric shape of a forged part. While knowledge of shape error, comparing the desired versus the measured shape, is significant in measuring part quality the question of more interest is what can this error suggest about the forging process set-up? The first contribution of this paper is to develop a shape error metric which identifies geometric shape differences that occur from a desired forged part. This metric is based on the point distribution deformable model developed in pattern recognition research. The second contribution of this paper is to propose an inverse model that identifies changes in process set-up parameter values by analysing the proposed shape error metric. The metric and inverse models are developed using two sets of simulated hot-forged parts created using two different die pairs (simple and 'M'-shaped die pairs). A neural network is used to classify the shape data into three arbitrarily chosen levels for each parameter and it is accurate to at least 77 per cent in the worst case for the simple die pair data and has an average accuracy of approximately 80 per cent when classifying the more complex 'M'-shaped die pair data.

Developing and testing a model of knowledge utilisation through marketing research

Little research has examined the return on marketing research, be that financial or knowledge acquisition. Furthermore, there has been insufficient research into the factors affecting the conduct of marketing research. This paper investigates and reports on a conceptual model proposed by Yaman (2000), which explores knowledge acquisition, dissemination, and utilisation through marketing research. The study specifically explores and attempts to replicate the model’s conceptual structure. The data were collected electronically via emails and an HTML web-form questionnaire, with a sample of 182 being obtained. Using structural equation modelling, the results obtained indicated an adequate fit for a modified Yaman model to the data from this particular sample.

Interdisciplinary higher education and the Melbourne model

The so-called ‘Melbourne Model’ has recently been adopted by the Council of the University of Melbourne, Australia after a long consultation process and widespread media attention. It proposes the design of new subjects which offer what are referred to as ‘different ways of knowing’ from students’ ‘core’ disciplines, partly through ‘the delivery of breadth subjects that are interdisciplinary in character’. This paper explores interdisciplinary higher education in the light of The Melbourne Model’. Definitional issues associated with the term ‘academic discipline’, as well as the newer terms ‘interdisciplinary’, ‘pluridisciplinary’, ‘cross-disciplinary’, ‘transdisciplinary’ and ‘multidisciplinary’ are examined. Some of the pedagogical issues inherent in a move from a traditional form of educational delivery to that underlined by the Melbourne Model are outlined. Some epistemological considerations relevant to multidisciplinarity and interdisciplinarity are discussed.

The influence of procedural and interactional justice, and disconfirmation on customers post recovery satisfaction evaluations

This study examines the influence of distributive and interactional justice and disconfirmation on customers’ postrecovery satisfaction evaluations, and in so doing, combines, for the first time, two existing instruments to operationalise the interactional justice construct. Using Structural Equation Modelling, the findings suggest that while both disconfirmation and justice are important predictors of satisfaction, distributive justice has the greatest influence. The research presented here reports on a section of a larger experiment-based study examining how customers’ postrecovery satisfaction evaluations are influenced by the way in which the organisation responds to the failure.

An econometric model of the determinants of private investment and a CGE model of the impact of democracy on investment and economic growth in Fiji

Purpose – The purpose of this paper is to construct an econometric model of the determinants of private investment with a particular focus on the impact of democracy on investment.

Design/methodology/approach – The first step was to econometrically derive the long-run elasticities; then to modify the Fiji computable general equilibrium (CGE) model to incorporate the investment function. Also the econometrically derived long run elasticities in the CGE model were used.

Findings – It was found that democracy has a positive and statistically significant impact on private investment in Fiji. The paper's simulation of Fiji becoming a fully democratic country on investment and other macroeconomic fundamentals, based on a CGE model, reveals that real gross domestic product and real national welfare increase by around 0.01 and 0.05 per cent, respectively; government savings and revenue performance improves; there is a trade balance surplus; and both private consumption and disposable income increase by around 0.05 and 0.12 per cent, respectively.

Originality/value – This is the first study that uses a CGE model to examine the impact of democracy, via investment, on other macroeconomic fundaments. No other study is known to have modelled democracy in a CGE framework.

Effects of conjugated linoleic acid on myogenic and inflammatory responses in a human primary muscle and tumor coculture model

The antiproliferative and anti-inflammatory properties of conjugated linoleic acid (CLA) make it a potentially novel treatment in chronic inflammatory muscle wasting disease, particularly cancer cachexia. Human primary muscle cells were grown in coculture with MIA PaCa-2 pancreatic tumor cells and exposed to varying concentrations of c9,t11 and t10,c12 CLA. Expression of myogenic (Myf5, MyoD, myogenin, and myostatin) and inflammatory genes (CCL-2, COX-2, IL-8, and TNF-) were measured by real-time PCR. The t10,c12 CLA isomer, but not the c9,t11 isomer, significantly decreased MIA PaCa-2 proliferation by between 15% and 19%. There was a marked decrease in muscle MyoD and myogenin expression (78% and 62%, respectively), but no change in either Myf5 or myostatin, in myotubes grown in coculture with MIA PaCa-2 cells. CLA had limited influence on these responses. A similar pattern of myogenic gene expression changes was observed in myotubes treated with TNF- alone. Several-fold significant increases in CCL-2, COX-2, IL-8, and TNF- expression in myotubes were observed with MIA PaCa-2 coculture. The c9,t11 CLA isomer significantly decreased basal expression of TNF- in myotubes and could ameliorate its tumor-induced rise. The study provides insight into the anti-inflammatory and antiproliferative actions of CLA and its application as a therapeutic agent in inflammatory disease states.

Physical theory of organisation and consequent neural model of spatio-temporal pattern acquisition

A neurone model (the FORMON) is proposed which provides a mathematical explanation for a range of psychological phenomena and has potential in Artificial Intelligence applications. A general definition of organisation in terms of entropy and information is formulated. The concept of microcodes is introduced to describe the physical nature of organisation. Spatio-temporal pattern acquisition and processing functions attributable to individual neurones are reviewed. The criterion for self-organisation in a neurone is determined as the maximisation of mutual organisation. A feedback control system is proposed to satisfy this criterion and provide an integrated long-term memory of spatio-temporal pattern. This pattern acquisition system is shown to be applicable to dendritic pattern recognition and axonal pattern generation. Provision is also made for adaptation, short-term memory and operant learning. An electro-chemical model of transmission and processing of neural signals is outlined to provide the pattern acquisition functions of the Formon model. A transverse magnetic mode of electrotonic propagation is postulated in addition to the transverse electromagnetic mode. Configurations of the Formon are categorised in terms of possible pattern processing functions. Connective architectures are proposed as self-organising models of acquisitive semantic and syntactic networks.