Distributed-memory parallelization of an explicit time-domain volume integral equation solver on Blue Gene/P

Two distributed-memory schemes for efficiently parallelizing the explicit marching-on in-time based solution of the time domain volume integral equation on the IBM Blue Gene/P platform are presented. In the first scheme, each processor stores the time history of all source fields and only the computationally dominant step of the tested field computations is distributed among processors. This scheme requires all-to-all global communications to update the time history of the source fields from the tested fields. In the second scheme, the source fields as well as all steps of the tested field computations are distributed among processors. This scheme requires sequential global communications to update the time history of the distributed source fields from the tested fields. Numerical results demonstrate that both schemes scale well on the IBM Blue Gene/P platform and the memory efficient second scheme allows for the characterization of transient wave interactions on composite structures discretized using three million spatial elements without an acceleration algorithm

Developmental and gender trends in emotional literacy and interpersonal competence among Japanese children

This study explored cross-sectional gender and grade level trends in emotional literacy and interpersonal competence among 913 elementary and middle school students in Japan. Students were presented with two hypothetical scenarios involving mixed emotions and potential interpersonal dilemmas. Results indicated that older children possess greater emotional literacy when compared to younger children. Additionally, girls identified a greater number of emotions, were better able to identify mixed emotions, and were more likely to identify empathic interpersonal behaviours. These gender and grade level considerations may be incorporated into social-emotional learning curricula to enhance the utility and effectiveness of programs for diverse populations.peer-reviewe

Heterogeneity in pure microbial systems: experimental measurements and modeling

Cellular heterogeneity influences bioprocess performance in ways that until date are not completely elucidated. In order to account for this phenomenon in the design and operation of bioprocesses, reliable analytical and mathematical descriptions are required. We present an overview of the single cell analysis, and the mathematical modeling frameworks that have potential to be used in bioprocess control and optimization, in particular for microbial processes. In order to be suitable for bioprocess monitoring, experimental methods need to be high throughput and to require relatively short processing time. One such method used successfully under dynamic conditions is flow cytometry. Population balance and individual based models are suitable modeling options, the latter one having in particular a good potential to integrate the various data collected through experimentation. This will be highly beneficial for appropriate process design and scale up as a more rigorous approach may prevent a priori unwanted performance losses. It will also help progressing synthetic biology applications to industrial scale

Depression in patients with Type 2 Diabetes in Maltese primary care

Background: Type 2 diabetes and depression are two common chronic conditions affecting the Maltese population with significant and costly effects on health. Multiple studies have demonstrated a higher prevalence of depression in diabetic patients and a link with uncontrolled diabetes; however, despite this, depression is still not considered as important to chronic conditions in terms of the effects it has on health. -- Objectives: This study was conducted to estimate the prevalence of depression in type 2 diabetic patients in primary care and to study their associated risk factors. -- Method: A quantitative, cross-sectional, retrospective, descriptive study was performed among 400 participants with type 2 diabetes attending diabetes clinics within the public health centres in Malta. Patients completed a self-administered questionnaire to quantify depressive symptoms and to study patient and disease characteristics. Convenience sampling was used to collect the data. -- Results: Data analysis showed that the prevalence of depression is around 29.7% among type 2 diabetic patients. Younger diabetics, women, lower educational levels, unemployment, obesity, a family history of depression and uncontrolled diabetes were found to be associated with a higher risk of developing depressive symptoms. -- Conclusions: Screening for depression in type 2 diabetic patients is important due to the high prevalence and significant impact on health. Appropriate management can significantly improve the outcome of both conditions and consequently improve both health and quality of life.peer-reviewe

Modelling secondary production in the Norwegian Sea with a fully coupled physical/primary production/individual-based Calanus finmarchicus model system

The copepod Calanus finmarchicus is the dominant species of the meso-zooplankton in the Norwegian Sea, and constitutes an important link between the phytoplankton and the higher trophic levels in the Norwegian Sea food chain. An individual-based model for C. finmarchicus, based on super-individuals and evolving traits for behaviour, stages, etc., is two-way coupled to the NORWegian ECOlogical Model system (NORWECOM). One year of modelled C. finmarchicus spatial distribution, production and biomass are found to represent observations reasonably well. High C. finmarchicus abundance is found along the Norwegian shelf-break in the early summer, while the overwintering population is found along the slope and in the deeper Norwegian Sea basins. The timing of the spring bloom is generally later than in the observations. Annual Norwegian Sea production is found to be 29 million tonnes of carbon and a production to biomass (P/B) ratio of 4.3 emerges. Sensitivity tests show that the modelling system is robust to initial values of behavioural traits and with regards to the number of super-individuals simulated given that this is above about 50,000 individuals. Experiments with the model system indicate that it provides a valuable tool for studies of ecosystem responses to causative forces such as prey density or overwintering population size. For example, introducing C. finmarchicus food limitations reduces the stock dramatically, but on the other hand, a reduced stock may rebuild in one year under normal conditions