Exercise training characteristics in cardiac rehabilitation programmes: A cross-sectional survey of Australian practice

Introduction Exercise training is a core component of cardiac rehabilitation (CR), however, little information exists regarding the specific exercise interventions currently provided for coronary heart disease in Australian practice. We aimed to analyse the current status of exercise-based CR services across Australia. Design Cross-sectional survey. Methods Australian sites offering exercise-based CR were identified from publically available directories. All sites were invited by email to participate in an online Survey Monkey questionnaire between October 2014 and March 2015, with reminders via email and phone follow-up. Questions investigated the demographics and format of individual programmes, as well as specific exercise training characteristics. Results 297 eligible programmes were identified, with an 82% response rate. Most sites (82%) were based at hospital or outpatient centres, with home (15%), community (18%) or gym-based options (5%) less common. While CR was most often offered in a comprehensive format (72% of sites), the level of exercise intervention varied greatly among programmes. Most frequently, exercise was prescribed 1–2 times per week for 60 min over 7 weeks. Almost one-quarter (24%) had a sole practitioner supervising exercise, although the majority used a nurse/physiotherapist combination. Low to moderate exercise intensities were used in 60% of programmes, however, higher intensity prescriptions were not uncommon. Few sites (Conclusions While advances have been made towards providing flexible and accessible exercise-based CR, much of Australia's service remains within traditional models of care. A continuing focus on service improvement and evidence-based care should, therefore, be considered a core aim of those providing exercise for CR in order to improve health service delivery and optimise outcomes for patients

Structural assembly of two-domain proteins by rigid-body docking.

BACKGROUND: Modelling proteins with multiple domains is one of the central challenges in Structural Biology. Although homology modelling has successfully been applied for prediction of protein structures, very often domain-domain interactions cannot be inferred from the structures of homologues and their prediction requires ab initio methods. Here we present a new structural prediction approach for modelling two-domain proteins based on rigid-body domain-domain docking. RESULTS: Here we focus on interacting domain pairs that are part of the same peptide chain and thus have an inter-domain peptide region (so called linker). We have developed a method called pyDockTET (tethered-docking), which uses rigid-body docking to generate domain-domain poses that are further scored by binding energy and a pseudo-energy term based on restraints derived from linker end-to-end distances. The method has been benchmarked on a set of 77 non-redundant pairs of domains with available X-ray structure. We have evaluated the docking method ZDOCK, which is able to generate acceptable domain-domain orientations in 51 out of the 77 cases. Among them, our method pyDockTET finds the correct assembly within the top 10 solutions in over 60% of the cases. As a further test, on a subset of 20 pairs where domains were built by homology modelling, ZDOCK generates acceptable orientations in 13 out of the 20 cases, among which the correct assembly is ranked lower than 10 in around 70% of the cases by our pyDockTET method. CONCLUSION: Our results show that rigid-body docking approach plus energy scoring and linker-based restraints are useful for modelling domain-domain interactions. These positive results will encourage development of new methods for structural prediction of macromolecules with multiple (more than two) domains.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

Enhancing Public Health Surveillance for Influenza Virus by Incorporating Newly Available Rapid Diagnostic Tests

Beginning with the 1999-2000 influenza season, physicians throughout Hawaii ordering a viral culture for patients with suspected influenza were also offered influenza rapid testing. We compared the number of viral respiratory cultures sent to the Hawaii Department of Health and the number of providers who participated in influenza surveillance over consecutive influenza seasons. The number of viral respiratory cultures rose from 396 to 2,169 between the 1998-1999 and 2000-2001 influenza seasons, and the number of providers submitting >1 influenza culture increased from 34 to 327, respectively. The number of influenza isolates obtained each season also increased (from 64 to 491). The available data suggest that the changes observed in Hawaii’s influenza surveillance were not secondary to differences in influenza activity between seasons. This is the first evaluation of integrating influenza rapid testing into public health surveillance. Coupling rapid tests with cultures appears to be an effective means of improving influenza surveillance

Dengue Risk among Visitors to Hawaii during an Outbreak

Despite the high rates of dengue in many tropical destinations frequented by tourists, limited information is available on the risk for infection among short-term visitors. We retrospectively surveyed 4,000 persons who arrived in Hawaii during the peak of the 2001–2002 dengue outbreak and collected follow-up serologic test results for those reporting denguelike illness. Of 3,064 visitors who responded, 94 (3%) experienced a denguelike illness either during their trip or within 14 days of departure; 34 of these persons were seen by a physician, and 2 were hospitalized. Twenty-seven visitors with denguelike illness provided a serum specimen; all specimens were negative for anti-dengue immunoglobulin G antibodies. The point estimate of dengue incidence was zero infections per 358 person-days of exposure with an upper 95% confidence limit of 3.0 cases per person-year. Thus, the risk for dengue infection for visitors to Hawaii during the outbreak was low

Prediction by graph theoretic measures of structural effects in proteins arising from non-synonymous single nucleotide polymorphisms.

Recent analyses of human genome sequences have given rise to impressive advances in identifying non-synonymous single nucleotide polymorphisms (nsSNPs). By contrast, the annotation of nsSNPs and their links to diseases are progressing at a much slower pace. Many of the current approaches to analysing disease-associated nsSNPs use primarily sequence and evolutionary information, while structural information is relatively less exploited. In order to explore the potential of such information, we developed a structure-based approach, Bongo (Bonds ON Graph), to predict structural effects of nsSNPs. Bongo considers protein structures as residue-residue interaction networks and applies graph theoretical measures to identify the residues that are critical for maintaining structural stability by assessing the consequences on the interaction network of single point mutations. Our results show that Bongo is able to identify mutations that cause both local and global structural effects, with a remarkably low false positive rate. Application of the Bongo method to the prediction of 506 disease-associated nsSNPs resulted in a performance (positive predictive value, PPV, 78.5%) similar to that of PolyPhen (PPV, 77.2%) and PANTHER (PPV, 72.2%). As the Bongo method is solely structure-based, our results indicate that the structural changes resulting from nsSNPs are closely associated to their pathological consequences

Neurodivergent participatory action research for Virtual Reality (VR)

Purpose: This paper aims to raise awareness of and argue for the use of participatory methods for the research and development of Virtual Reality (VR) applications designed for neurodivergent groups. This includes exploring why it is important to meaningfully include neurodivergent groups and the benefits their inclusion provide. Design/methodology/approach: VR is becoming increasingly widespread as a consumer product and interventional tool. It is vital for researchers and developers to embrace best practices in these early stages of using the technology, making certain that neurodivergent people have the best possible outcomes. Findings: The neurodivergent community is dissatisfied with many of the research directions currently being undertaken. This dissatisfaction arises from conflicting priorities between different stakeholders and the lack of input from the community. Participatory research brings neurodivergent people into the research process, whether as members of the research team or as consultants at key steps. Effective participatory research ensures that the priorities of the neurodivergent community are better incorporated in research, as well as enabling the development of more effective applications for VR. Originality/value: Participatory methods are unutilised in the development of applications aimed for neurodivergent people. By describing their use and utility in other areas, this article aims to encourage other VR researchers to take neurodivergent people on board

Applications of virtual reality (VR) in autism research: current trends and taxonomy of definitions

Purpose: Recent work could further improve the use of VR technology by advocating the use of psychological theories in task design and highlighting certain properties of VR configurations and human – VR interactions. The variety of VR technology used in the trials prevents us from establishing a systematic relationship between the technology type and its effectiveness. As such, more research is needed to study this link, and our piece is an attempt to shed a spotlight on the issue. Design/methodology/approach: To explore recent developments in the field, the authors followed the procedures of scoping review by Savickaite et al. (2022) and included publications from 2021 to 2022. Findings: In this updated analysis, it was clear that the research themes emerging over the last two years were similar to those identified previously. Social training and intervention work still dominates the research area, in spite of recent calls from the autism community to broaden the scientific understanding of neurodivergent experiences and daily living behaviours. Although, autism is often characterised by difficulties with social interactions, it is just one part of the presentation. Sensory differences, motor difficulties and repetitive behaviours are also important facets of the condition, as well as various wider aspects of health, wellbeing and quality of life. However, many of these topics appear to be understudied in research on VR applications for autism. Originality/value: VR stands out from other representational technologies because of its immersion, presence and interactivity and has grown into its own niche. The question of what constitutes a truly immersive experience has resurfaced. We can no longer deny that VR has established itself in autism research. As the number of studies continues to grow, it is a perfect time to reconsider and update our notion of definitions of immersion and its reliance on hardware