Is there change over time in the season-of-birth effect for schizophrenia? Data from the southern hemisphere

The aim of this paper is to examine distributions of schizophrenia and general population births over time in order to determine whether (a) the pattern has changed over time, (b) any pattern was similar for both males and females, and (c) whether there is any indication that there is any relationship between the changes in pattern between schizophrenia and general population births. Birth month and year for 7807 individuals with ICD8/9 schizophrenia were gained from the Queensland Mental Health Statistical System for 1914-1975. Monthly births for the general population in Queensland for the same period were obtained from the Australian Bureau of Statistics. For each decade we obtained two comparisons, (1) between two 'seasons' (summer-autumn/winter-spring), and (2) between the third (coldest) quarter and the remaining quarters. Based on expected contrasts from general population proportions, odds ratios and their confidence intervals were used to analyse these comparisons for all subjects, and for males and females separately. The seasonality found in our previous studies was again evident (OR 1.09; 95% CI= 1.01-1.17). However there was no significant change in its pattern over time either for the total group or for males and females separately. When the general population births alone were examined using the same contrasts, seasonality was also observed, but here there were fluctuations over time. These results suggest that exposures linked to changes in general population births over time should be examined in disorders such as schizophrenia which demonstrate seasonality in births. The Stanley Foundation supported this project.

Decreased perinatal sunshine duration is associated with increased non-affective but not affective psychosis birth rates

We have previously found an association between variations in schizophrenia birth rates and varyinglevels of perinatal sunshine duration. This study examines whether such an association can also be found for Ža. affective psychosis, and Žb. broadly defined nonaffective psychoses. Data for individuals born between 1931 and 1970 in Australia with ICD9 Other PsychosisŽ295–299.were obtained from the Queensland Mental Health Statistical System. ‘Affective psychosis’ included affective psychosis, schizo-affective psychosis, and depressive and excitative non-organic psychoses. ‘Non-affective psychosis’ included chizophrenia, paranoid disorders and other non-organic psychoses. Those receiving both affective and non-affective psychotic diagnoses were excluded. Rates per 10,000 live monthly general population births were calculated. For each month, we assessed the agreementŽusing the kappa statistic. between trends in Ža. birth rates and Žb. long-term trends in seasonally adjusted perinatal sunshine duration. The analyses were performed separately for males and females. There were 6265 with non-affective psychosis ŽMs3964 rate 66r10,000; Fs2299 44r10,000. and 2858 with affective psychosisŽMs1392 24r10,000; Fs1466 28r10,000.. There were no significant associations between Ža. affective psychosis birth rates for either males or females and Žb. sunshine duration. There was a significant association between nonaffective psychosis birth rates for males only and Žb. sunshine duration Žkappas0.15 p-0.001.. This suggests that, as a risk factor, the effect of reduced perinatal sunshine is specifically associated with males who develop non-affective psychosis. The Stanley Foundation supported this project.

Wireless telemedicine for the delivery of specialist paediatric services to the bedside

A mobile interactive online health system was used to conduct virtual ward rounds at a regional hospital which had no specialist paediatrician. The system was wireless, which allowed telepaediatric services to be delivered direct to the bedside. Between December 2004 and May 2005, 43 virtual ward rounds were coordinated between specialists based in Brisbane and local staff at the Gladstone Hospital. Eighty-six consultations were provided for 64 patients. The most common conditions included asthma (27%), chest infections (12%), gastroenteritis (10%) and urinary tract infections (10%). In the majority of cases, there were partial (67%) or complete changes (11%) in the clinical management of patients. Specialist services were offered by a team of 13 clinicians at the Royal Children's Hospital: 10 general paediatricians, two physiotherapists and one registered nurse. Feedback from all consultants involved in the service and local staff in Gladstone was extremely positive. In 43 videoconference calls there were three technical problems, probably due to an intermittent mains power supply at the regional hospital. There appears to be potential for other rural and regional hospitals to adopt this model of service delivery.

Expert system application on preliminary design of water retaining structures

Design of liquid retaining structures involves many decisions to be made by the designer based on rules of thumb, heuristics, judgment, code of practice and previous experience. Various design parameters to be chosen include configuration, material, loading, etc. A novice engineer may face many difficulties in the design process. Recent developments in artificial intelligence and emerging field of knowledge-based system (KBS) have made widespread applications in different fields. However, no attempt has been made to apply this intelligent system to the design of liquid retaining structures. The objective of this study is, thus, to develop a KBS that has the ability to assist engineers in the preliminary design of liquid retaining structures. Moreover, it can provide expert advice to the user in selection of design criteria, design parameters and optimum configuration based on minimum cost. The development of a prototype KBS for the design of liquid retaining structures (LIQUID), using blackboard architecture with hybrid knowledge representation techniques including production rule system and object-oriented approach, is presented in this paper. An expert system shell, Visual Rule Studio, is employed to facilitate the development of this prototype system. (C) 2002 Elsevier Science Ltd. All rights reserved.

SimuMap: a computational system for spatial modelling

The paper presents a computational system based upon formal principles to run spatial models for environmental processes. The simulator is named SimuMap because it is typically used to simulate spatial processes over a mapped representation of terrain. A model is formally represented in SimuMap as a set of coupled sub-models. The paper considers the situation where spatial processes operate at different time levels, but are still integrated. An example of such a situation commonly occurs in watershed hydrology where overland flow and stream channel flow have very different flow rates but are highly related as they are subject to the same terrain runoff processes. SimuMap is able to run a network of sub-models that express different time-space derivatives for water flow processes. Sub-models may be coded generically with a map algebra programming language that uses a surface data model. To address the problem of differing time levels in simulation, the paper: (i) reviews general approaches for numerical solvers, (ii) considers the constraints that need to be enforced to use more adaptive time steps in discrete time specified simulations, and (iii) scaling transfer rates in equations that use different time bases for time-space derivatives. A multistep scheme is proposed for SimuMap. This is presented along with a description of its visual programming interface, its modelling formalisms and future plans. (C) 2003 Elsevier Ltd. All rights reserved.

Producing computer-generated tailored written information for stroke patients and their carers: System development and preliminary evaluation

Purpose: The aim of this project was to design and evaluate a system that would produce tailored information for stroke patients and their carers, customised according to their informational needs, and facilitate communication between the patient and, health professional. Method: A human factors development approach was used to develop a computer system, which dynamically compiles stroke education booklets for patients and carers. Patients and carers are able to select the topics about which they wish to receive information, the amount of information they want, and the font size of the printed booklet. The system is designed so that the health professional interacts with it, thereby providing opportunities for communication between the health professional and patient/carer at a number of points in time. Results: Preliminary evaluation of the system by health professionals, patients and carers was positive. A randomised controlled trial that examines the effect of the system on patient and carer outcomes is underway. (C) 2004 Elsevier Ireland Ltd. All rights reserved.

A cognitive genetic algorithm for power distribution system planning

Power systems are large scale nonlinear systems with high complexity. Various optimization techniques and expert systems have been used in power system planning. However, there are always some factors that cannot be quantified, modeled, or even expressed by expert systems. Moreover, such planning problems are often large scale optimization problems. Although computational algorithms that are capable of handling large dimensional problems can be used, the computational costs are still very high. To solve these problems, in this paper, investigation is made to explore the efficiency and effectiveness of combining mathematic algorithms with human intelligence. It had been discovered that humans can join the decision making progresses by cognitive feedback. Based on cognitive feedback and genetic algorithm, a new algorithm called cognitive genetic algorithm is presented. This algorithm can clarify and extract human's cognition. As an important application of this cognitive genetic algorithm, a practical decision method for power distribution system planning is proposed. By using this decision method, the optimal results that satisfy human expertise can be obtained and the limitations of human experts can be minimized in the mean time.

The effect of enacted capabilities on adoption of a government electronic procurement system by Malaysian SMEs

Prior studies have shown that innovative information systems (IS) adoption behaviour by small-and medium-sized enterprises (SMEs) is greatly dependent on organizational and environmental characteristics. Government influence (i.e., federal and local government agencies) was found to play an important role in the promotion or enforcement of innovative IS adoption by SMEs, and it is vital for ensuring adoption of nationwide innovative IS, particularly in developing economies. This study introduces the construct of enacted capabilities and examines the enacted capabilities that motivate SMEs to use innovative IS (i.e., a government's electronic procurement systems) to its full potential. A model of how enacted capabilities affect IS adoption behaviour through perceived net benefits and attitude is developed. A survey (and follow-up interviews) of CEOs/owners from Malaysian SMEs was conducted. Results indicate the enacted capabilities possessed by SMEs play a prominent role in determining the adoption of government electronic procurement systems by these enterprises.

DR-NEGOTIATE - A system for automated agent negotiation with defeasible logic-based strategies

This paper reports on a system for automated agent negotiation, based on a formal and executable approach to capture the behavior of parties involved in a negotiation. It uses the JADE agent framework, and its major distinctive feature is the use of declarative negotiation strategies. The negotiation strategies are expressed in a declarative rules language, defeasible logic, and are applied using the implemented system DR-DEVICE. The key ideas and the overall system architecture are described, and a particular negotiation case is presented in detail.