Self-organised nanoarchitecture of titanium surfaces influences the attachment of Staphylococcus aureus and Pseudomonas aeruginosa bacteria

The surface nanotopography and architecture of medical implant devices are important factors that can control the extent of bacterial attachment. The ability to prevent bacterial attachment substantially reduces the possibility of a patient receiving an implant contracting an implant-borne infection. We now demonstrated that two bacterial strains, Staphylococcus aureus and Pseudomonas aeruginosa, exhibited different attachment affinities towards two types of molecularly smooth titanium surfaces each possessing a different nanoarchitecture. It was found that the attachment of S. aureus cells was not restricted on surfaces that had an average roughness (S a) less than 0.5 nm. In contrast, P. aeruginosa cells were found to be unable to colonise surfaces possessing an average roughness below 1 nm, unless sharp nanoprotrusions of approximately 20 nm in size and spaced 35.0 nm apart were present. It is postulated that the enhanced attachment of P. aeruginosa onto the surfaces possessing these nanoprotrusions was facilitated by the ability of the cell membrane to stretch over the tips of the nanoprotrusions as confirmed through computer simulation, together with a concomitant increase in the level of extracellular polymeric substance (EPS) being produced by the bacterial cells.

Association between participation in outpatient cardiac rehabilitation and self-reported receipt of lifestyle advice from a healthcare provider: results of a population-based cross-sectional survey

We test the hypothesis that the odds of self-reported receipt of lifestyle advice from a health care provider will be lower among outpatient cardiac rehabilitation (OCR) nonattendees and nonreferred patients compared to OCR attendees. Logistic regression was used to analyse cross-sectional data provided by 65% (4971/7678) of patients aged 20 to 84 years discharged from public hospitals with a diagnosis indicating eligibility for OCR between 2002 and 2007. Among respondents, 71% (3518) and 55% (2724) recalled advice regarding physical activity and diet, respectively, while 88% (592/674) of smokers recalled quit advice. OCR attendance was low: 36% (1764) of respondents reported attending OCR, 11% (552) did not attend following referral, and 45% (2217) did not recall being invited. The odds of recalling advice regarding physical activity and diet were significantly lower among OCR nonattendees compared to attendees (OR 0.34, 95% CI 0.21, 0.56 and OR 0.33, 95% CI 0.25, 0.44, resp.) and among nonreferred respondents compared to OCR attendees (OR 0.10, 95% CI 0.07, 0.15 and OR 0.17, 95% CI 0.14, 0.22, resp.). Patients hospitalised for coronary heart disease should be referred to OCR or a suitable alternative to improve recall of lifestyle advice that will reduce the risk of further coronary events.

Self-report use-of-time tools for the assessment of physical activity and sedentary behaviour in young people: systematic review

UNLABELLED: Regular physical activity and limiting extended periods of sitting are two behaviours critical for the prevention of obesity in young people. The purpose of the systematic review was to synthesize the psychometric evidence for self-report use-of-time tools that assess these behaviours. Articles were retrieved that reported reliability and/or validity for use-of-time tools in participants aged 18 years or under. Outcome variables were physical activity, sedentary behaviour and energy expenditure. Study quality was appraised, and the results summarized narratively. Sixteen studies and six different tools were identified. The tools were the Previous Day Physical Activity Recall, the Three-Day Physical Activity Recall, the Physical Activity Interview, the Computerized Activity Recall, the Activitygram, and the Multimedia Activity Recall for Children and Adolescents. Overall, tools indicated moderate validity compared with objective and criterion comparison methods. Generally, validity correlation coefficients were in the range of 0.30-0.40. Correlation coefficients for test-retest reliability ranged widely from 0.24 to 0.98. CONCLUSION: Use-of-time tools have indicated moderate reliability and validity for the assessment of physical activity and energy expenditure. Future research should focus on using criterion methods and on validating specifically for sedentary behaviour outcomes. Implementation of these tools for population surveillance should be considered.

Synthesis and self-assembly behaviour of poly(Nα-Boc-l-tryptophan)-block-poly(ethylene glycol)-block-poly(Nα-Boc-l-tryptophan)

We report for the first time the use of Nα-Boc-l-tryptophan for the synthesis of amphiphilic BAB triblock copolymers for potential drug delivery applications. A library of poly(Nα-Boc-l-tryptophan)-block-poly(ethylene glycol)-block-poly(Nα-Boc-l-tryptophan) (PBoclTrp-b-PEG-b-PBoclTrp) amphiphilic copolymers were synthesized through the ring opening polymerization of Nα-Boc-l-tryptophan Nα-carboxy anhydride as initiated by diamino-terminated PEG of fixed molecular weight (Mn 3350). The influence of the hydrophobic block length over self-assembly was investigated for 4 of the BAB copolymers of molecular weights varying between Mn 5000 and Mn 17000. It was found that an increase in hydrophobic block length led to an increase in hydrodynamic size of aggregates in solution, as well as a decrease in critical micelle concentration. TEM analysis showed the formation of spherical micelles with the largest of the copolymers forming interconnected networks of spherical micelles. The influence of hydrophobic block length over the formation of secondary structure was analyzed using circular dichroism and infrared spectroscopy. Collectively we found that the presence of t-Boc protected l-tryptophan leads to the preferential formation of α-helix secondary structure through hydrogen bonding, which, in a drug delivery vehicle context, could help in controlling drug release. Also, it is believed that the use of novel Nα-Boc-l-tryptophan could improve drug stabilization in the hydrophobic core via π-π interactions between indole rings.

An extended approach to adjust inconsistent minority peer- and self-assessment scores of teamwork using assessor’s reliability

Teamwork is generally assessed either solely by academic staff or by both academic staff andstudents themselves confidentially as well as collaboratively. Peer- and self-assessments have beenused primarily to assess teamwork process and teacher assessment to assess teamwork product.Peer- and self-assessments are useful to elicit team members’ contribution towards teamwork and toconvert team mark into individual marks, provided the scores are reliable (the extent to which thescores are consistent). However, not all peer- and self-assessment scores are reliable. Anecdotal andliterature evidence suggest that there are several cases of inconsistencies in these scores. Individualcontribution scores given by teammates to an assessee (including himself/herself) can sometimesvary significantly due to both intentional and unintentional reasons. Simply using total individual ratingscores without considering an assessor’s reliability to estimate individual contribution factors cansometime results unfair grades and becomes hindrance to learning through teamwork.PURPOSEThis study proposes an extended approach to adjust inconsistent and/or distorted minority peer andself-assessment scores of teamwork using standard normal probability concept.APPROACHIn order to adjust inconsistent and/or distorted minority peer-and self-assessment scores of teamwork,an extended approach has been proposed. The approach uses the reliability of assessor’s scores ofan assessee using standard normal probability curve. The evaluation of the extended approach isconducted by comparing with the existing approaches using two case examples of peer- and selfassessmentof teamwork where minority team members’ scores are inconsistent.RESULTSThe evaluation of the extended approach shows that the proposed method is superior to the availableapproaches in order to adjust inconsistent peer- and self-assessment scores for special cases wherescores of minority team members are inconsistent. The extended approach helps both to automaticallydetect such scoring anomalies and to adjust the scores so that the fairer contributions to the teamworkwould be obtained and utilised.CONCLUSIONSThe extended approach is useful in that it helps both to automatically detect scoring anomalies and todevise the methods to adjust them. However, the approach does not address the issue of scoringinconsistencies by majority of team members as it uses average score as a basis for identifyinginconsistencies. Moreover, the approach needs to be implemented in the real teamwork environmentin order to identify the impacts of these scoring adjustments in teamwork process and teamworkproduct.

Clustering massive high dimensional data with dynamic feature maps

This paper presents an algorithm based on the Growing Self Organizing Map (GSOM) called the High Dimensional Growing Self Organizing Map with Randomness (HDGSOMr) that can cluster massive high dimensional data efficiently. The original GSOM algorithm is altered to accommodate for the issues related to massive high dimensional data. These modifications are presented in detail with experimental results of a massive real-world dataset.

The importance of neighbourhood size in self organising systems

In recent times, the analysis of SOM (self-organising map) performance has concentrated on optimising the gain decay, rather than the size, form and decay of the neighbourhood function. We propose that the size, form and decay of region size plays a much more significant role in the learning, and especially in the development, of topographic feature maps. In this paper, a biologically-derived SOM model is presented. This model is able to select a single winning neuron and to form Gaussian outputs about this winner, without the need for a meta-level decision-making structure to artificially select a winner and fit a Gaussian output to that winner. Using this model, some fundamental characteristics of the relationship between neighbourhood size and SOM output states are demonstrated.

The assessment of denial, cognitive distortions and victim empathy among pedophilic sex offenders. An evaluation of the utility of self-report measures.

The modification of denial, defensiveness, and cognitive distortions and the enhancement of victim empathy are central components in the treatment of pedophilic sex offenders (PSOs) and are thus important factors to evaluate. This review of the literature highlights three broad problems with self-report measures of these variables. First, the psychometric properties of measures vary enormously, with some having no established validity or reliability. Second, the purpose of the measure is generally quite transparent, enabling the respondent to easily pick the socially acceptable responses. Finally, it is difficult to determine which are the best measures to use in assessing PSOs. Measures range from those designed for the general public to those designed specifically for PSOs. Also, they range from those that assess broad processes (e.g., general empathy) to those that assess offensespecific variables (e.g., victim empathy). This article argues that these issues need to be addressed to improve both the assessment of these processes among PSOs and the evaluation of treatment programs for PSOs.

The health and well-being of adolescents: a school-based population study of the self-report child health questionnaire

Purpose: To evaluate a new generic measure of adolescent health status, the self-report version of the Child Health Questionnaire (CHQ), and provide population-based data. Furthermore, we aimed to examine the impact of common adolescent illness and health concerns on their health and well-being.

Methods: A stratified, two-stage, random cluster sampling design was used to obtain a cross-sectional sample of subjects through schools. A written questionnaire included the 80-item 12-scale self-report CHQ and items measuring health concerns, illnesses/health conditions, and sociodemographics.

Results: A total of 2361 adolescents participated (response rate of 70%). Reliability was high: Tests of internal consistency and discriminant validity reported 90% of item-scale correlations >.4; all scales had Cronbach alpha coefficients >.7. Adolescents with illnesses/conditions or health concerns reported lower scores and larger differences for content-related scales, supporting content and construct validity. Statistically significant age and gender trends were observed for Mental Health, Self-Esteem, General Health, and Family Cohesion scales. Health status worsened as health concerns increased (X2 linear trend, p = .00) with deterioration in health of 5–20% on all scales for emotional health concerns (40% of sample).

Conclusions: The self-report CHQ is a reliable and seemingly valid measure of health and well-being for adolescent health research, although additional measures may be required where scales have high ceiling values. The significantly lower scores reported by adolescents with illness and/or health concerns lend support to the use of standardized health measures and longitudinal research to further examine the impact of adolescent comorbidities and their causal determinants.

A comparison of self-reported puberty using the pubertal development scale and the sexual maturation scale in a school-based epidemiologic survey

Purpose: To examine concordance between two self-reported measures of puberty: Sexual Maturatiom Scale (SMS) and Pubertal Developl1!ent Scale (PDS) and their acceptability to adolescents. Methods: Participants of a school-based study in grades 5, 7 and 9 were classified into one of 5 pubertal stages using each method. Results: 2864 students (age 9-16 years) participated. Agreement was moderate for males (K 0.42, 95% CI 0.39,0.45) and females (K 0.57, 95% CI 0.53, 0.61). Concordance within one stage was excellent (females 97%, males 89%), with discrepancies due to females being classified one stage later on the PDS (26%) and males one stage earlier (32%). There were more missing data for the SMS (13%) than the PDS (4%).

Supporting self-management of chronic health conditions : Common approaches

Objective : The aims of this paper are to provide a description of the principles of chronic condition self-management, common approaches to support currently used in Australian health services, and benefits and challenges associated with using these approaches.
Methods : We examined literature in this field in Australia and drew also from our own practice experience of implementing these approaches and providing education and training to primary health care professionals and organizations in the field.
Results : Using common examples of programs, advantages and disadvantages of peer-led groups (Stanford Courses), care planning (The Flinders Program), a brief primary care approach (the 5As), motivational interviewing and health coaching are explored.
Conclusions : There are a number of common approaches used to enhance self-management. No one approach is superior to other approaches; in fact, they are often complimentary.
Practice implications : The nature and context for patients’ contact with services, and patients’ specific needs and preferences are what must be considered when deciding on the most appropriate support mode to effectively engage patients and promote self-management. Choice of approach will also be determined by organizational factors and service structures. Whatever self-management support approaches used, of importance is how health services work together to provide support.

Fuzzy neural networks for control of dynamic systems

This thesis provides a unified and comprehensive treatment of the fuzzy neural networks as the intelligent controllers. This work has been motivated by a need to develop the solid control methodologies capable of coping with the complexity, the nonlinearity, the interactions, and the time variance of the processes under control. In addition, the dynamic behavior of such processes is strongly influenced by the disturbances and the noise, and such processes are characterized by a large degree of uncertainty. Therefore, it is important to integrate an intelligent component to increase the control system ability to extract the functional relationships from the process and to change such relationships to improve the control precision, that is, to display the learning and the reasoning abilities. The objective of this thesis was to develop a self-organizing learning controller for above processes by using a combination of the fuzzy logic and the neural networks. An on-line, direct fuzzy neural controller using the process input-output measurement data and the reference model with both structural and parameter tuning has been developed to fulfill the above objective. A number of practical issues were considered. This includes the dynamic construction of the controller in order to alleviate the bias/variance dilemma, the universal approximation property, and the requirements of the locality and the linearity in the parameters. Several important issues in the intelligent control were also considered such as the overall control scheme, the requirement of the persistency of excitation and the bounded learning rates of the controller for the overall closed loop stability. Other important issues considered in this thesis include the dependence of the generalization ability and the optimization methods on the data distribution, and the requirements for the on-line learning and the feedback structure of the controller. Fuzzy inference specific issues such as the influence of the choice of the defuzzification method, T-norm operator and the membership function on the overall performance of the controller were also discussed. In addition, the e-completeness requirement and the use of the fuzzy similarity measure were also investigated. Main emphasis of the thesis has been on the applications to the real-world problems such as the industrial process control. The applicability of the proposed method has been demonstrated through the empirical studies on several real-world control problems of industrial complexity. This includes the temperature and the number-average molecular weight control in the continuous stirred tank polymerization reactor, and the torsional vibration, the eccentricity, the hardness and the thickness control in the cold rolling mills. Compared to the traditional linear controllers and the dynamically constructed neural network, the proposed fuzzy neural controller shows the highest promise as an effective approach to such nonlinear multi-variable control problems with the strong influence of the disturbances and the noise on the dynamic process behavior. In addition, the applicability of the proposed method beyond the strictly control area has also been investigated, in particular to the data mining and the knowledge elicitation. When compared to the decision tree method and the pruned neural network method for the data mining, the proposed fuzzy neural network is able to achieve a comparable accuracy with a more compact set of rules. In addition, the performance of the proposed fuzzy neural network is much better for the classes with the low occurrences in the data set compared to the decision tree method. Thus, the proposed fuzzy neural network may be very useful in situations where the important information is contained in a small fraction of the available data.

Effectiveness of a community-based osteoporosis education and self-management course : a wait list controlled trial

Summary : Osteoporosis is an increasing burden on individuals and health resources. The Osteoporosis Prevention and Self-Management Course (OPSMC) was designed to assist individuals to prevent and manage osteoporosis; however, it had not been evaluated in an Australian setting. This randomised controlled trial showed that the course increased osteoporosis knowledge.
Introduction and hypothesis : Osteoporosis is a major and growing public health concern. An OPSMC was designed to provide individuals with information and skills to prevent or manage osteoporosis, but its effectiveness has not previously been evaluated. This study aimed to determine whether OPSMC attendance improved osteoporosis knowledge, self-efficacy, self-management skills or behaviour.
Materials and methods : Using a wait list randomised controlled trial design, 198 people (92% female) recruited from the community and aged over 40 (mean age = 63) were randomised into control (n = 95) and intervention (n = 103) groups. The OPSMC consists of four weekly sessions which run for 2 h and are led by two facilitators. The primary outcome were osteoporosis knowledge, health-directed behaviour, self-monitoring and insight and self-efficacy.
Results : The groups were comparable at baseline. At 6-week follow-up, the intervention group showed a significant increase in osteoporosis knowledge compared with the control group; mean change 3.5 (p < 0.001) on a measure of 0–20. The intervention group also demonstrated a larger increase in health-directed behaviour, mean change 0.16 (p < 0.05), on a measure of 0–6.
Conclusion : The results indicate that the OPSMC is an effective intervention for improving understanding of osteoporosis and some aspects of behaviour in the short term.

Self-assembly and film stability of a micelle of a single-chain quaternary ammonium amphiphile containing azobenzene on mica

The self-assembling behavior of a single-chain quaternary ammonium amphiphile bearing azobenzene (C₁₂AzoC₆N⁺) on freshly cleaved mica sheet has been investigated by atomic force microscopy (AFM) method. Confocal microscopic Raman spectra confirm the adsorption of the self-assembled monolayer structure. Ex-situ AFM reveals that C₁₂AzoC₆N⁺ forms branch-like stripes indicating the fusion and reorganization of the micelles during drying in air as the in-situ AFM has revealed that surfactant forms spherical micelles on the mica surface. The nano-sized surface structure is strongly dependent on the change of molecular structure, which resulted from photo-induced isomerization. The nano-sized stripe is quite stable even being annealed at 90 °C for 4 h.