Convergence of regenerative medicine and synthetic biology to develop standardized and validated models of human diseases with clinical relevance

In order to progress beyond currently available medical devices and implants, the concept of tissue engineering has moved into the centre of biomedical research worldwide. The aim of this approach is not to replace damaged tissue with an implant or device but rather to prompt the patient's own tissue to enact a regenerative response by using a tissue-engineered construct to assemble new functional and healthy tissue. More recently, it has been suggested that the combination of Synthetic Biology and translational tissue-engineering techniques could enhance the field of personalized medicine, not only from a regenerative medicine perspective, but also to provide frontier technologies for building and transforming the research landscape in the field of in vitro and in vivo disease models.

Association of NOS1AP variants and depression phenotypes in schizophrenia

Background The nitric oxide synthase 1 adaptor protein gene (NOS1AP) has previously been recognised as a schizophrenia susceptibility gene due to its role in glutamate neurotransmission. The gene is believed to inhibit nitric oxide (NO) production activated by the N-methyl-d-aspartate (NMDA) receptor and reduced NO levels have been observed in schizophrenia patients. However, association studies investigating NOS1AP and schizophrenia have produced inconsistent results, most likely because schizophrenia is a clinically heterogeneous disorder. This study aims to investigate the association between NOS1AP variants and defined depression phenotypes of schizophrenia. Methods Nine NOS1AP SNPs, rs1415259, rs1415263, rs1858232, rs386231, rs4531275, rs4656355, rs4657178, rs6683968 and rs6704393 were genotyped in 235 schizophrenia subjects screened for various phenotypes of depression. Result One NOS1AP SNP (rs1858232) was associated with the broad diagnosis of schizophrenia and eight SNPs were associated with depression related phenotypes within schizophrenia. The rs1415259 SNP showed strong association with sleep dysregulation phenotypes of depression. Conclusion Results suggest that NOS1AP variants are associated with various forms of depression in schizophrenia and are more prevalent in males. Limitation Schizophrenia is a clinically heterogeneous disease that can vary greatly between different ethnic and geographic populations so our observations should be viewed with caution until they are independently replicated, particularly in larger patient cohorts.

Rapid assessment of genotype-by-environment interactions and heritability for growth rate in aquaculture species using in vitro fertilisation and DNA tagging

Commercial environments may receive only a fraction of expected genetic gains for growth rate as predicted from the selection environment This fraction is the result of undesirable genotype-by-environment interactions (G x E) and measured by the genetic correlation (r(g)) of growth between environments. Rapid estimates of genetic correlation achieved in one generation are notoriously difficult to estimate with precision. A new design is proposed where genetic correlations can be estimated by utilising artificial mating from cryopreserved semen and unfertilised eggs stripped from a single female. We compare a traditional phenotype analysis of growth to a threshold model where only the largest fish are genotyped for sire identification. The threshold model was robust to differences in family mortality differing up to 30%. The design is unique as it negates potential re-ranking of families caused by an interaction between common maternal environmental effects and growing environment. The design is suitable for rapid assessment of G x E over one generation with a true 0.70 genetic correlation yielding standard errors as low as 0.07. Different design scenarios were tested for bias and accuracy with a range of heritability values, number of half-sib families created, number of progeny within each full-sib family, number of fish genotyped, number of fish stocked, differing family survival rates and at various simulated genetic correlation levels

Rank regression for analyzing ordinal qualitative data for treatment comparison

Ordinal qualitative data are often collected for phenotypical measurements in plant pathology and other biological sciences. Statistical methods, such as t tests or analysis of variance, are usually used to analyze ordinal data when comparing two groups or multiple groups. However, the underlying assumptions such as normality and homogeneous variances are often violated for qualitative data. To this end, we investigated an alternative methodology, rank regression, for analyzing the ordinal data. The rank-based methods are essentially based on pairwise comparisons and, therefore, can deal with qualitative data naturally. They require neither normality assumption nor data transformation. Apart from robustness against outliers and high efficiency, the rank regression can also incorporate covariate effects in the same way as the ordinary regression. By reanalyzing a data set from a wheat Fusarium crown rot study, we illustrated the use of the rank regression methodology and demonstrated that the rank regression models appear to be more appropriate and sensible for analyzing nonnormal data and data with outliers.

Australia’s first Allied Health Prescribing Program - exploring participants' perspectives on the study program's learning objectives

BACKGROUND The Queensland University of Technology in collaboration with Queensland Health pioneered development of the Allied Health Prescribing Training Program to assist allied health professionals (AHPs) to competently prescribe medicines within their scope of practice. The study program consisted of two modules: Introduction to Clinical Therapeutics for Prescribers and Prescribing and Quality Use of Medicines. METHODS Pre- and post- surveys were developed for both modules. Key themes explored were understanding and confidence in selecting therapeutic choices for patients. For module 2 the learning objectives for safe and effective prescribing were investigated. Data were collected from participants in weeks one and thirteen of the modules via online surveys. RESULTS In the pre-module survey for the first module, participants had a limited degree of understanding and confidence regarding safe and effective use of medicines and appropriate therapeutic choices for managing patients, particularly for complex patients. This improved significantly in the post-module survey. In the pre-module survey for module 2, participants had a moderate degree of understanding and confidence regarding various prescribing learning objectives (including safe and effective prescribing, professional, legal and ethical aspects, communicating medication orders, prescribing safely in their select areas of practice, prescribing safely for complex patients in their area of practice). This increased significantly in the post-module survey. DISCUSSION This training program was implemented to develop a framework of knowledge and skills for AHPs to undertake a prescribing role. The program delivered an increase in participants’ knowledge in the key prescribing areas; and increased participants’ confidence in prescribing safely for patients and for complex patients in their select practice areas. An important aspect of this program was inclusion of prescribing–related activities under supervision of a designated medical practitioner. In conclusion, this educational program for Queensland Health AHP prescribers was successfully developed and is in the final stages of delivery.

The effects of psychosocial factors on the emotional well-being of women during pregnancy: A cross-cultural study of Britain and Greece

The effects of life events, social support and the emotional well-being of partner on the emotional well-being of the mother during pregnancy was examined within the cultural contexts of Britain and Greece. It was proposed that social support, impact of life events and relationship of the mother with her partner would be affected by the different social structures of each culture and would influence emotional well-being. A sample of 200 Greek and 156 British mothers and their partners completed questionnaires which included a life event inventory, measure of social support and measure of emotional well-being (Crown-Crisp Experiential Index). Greek mothers were found to score significantly higher on measures of depression, anxiety and somaticism, experience more stressful life events (most relating to family issues) and report feeling less supported than British mothers. Life events, particularly those relating to family stresses were found to predict poor emotional well-being among Greek mothers. For British mothers, social support was the strongest predictor of emotional well-being. Findings were discussed in the light of differences in social structure and it was suggested that future research might focus on the disruption of established social support structures rather than the differences in availability of social support per se when considering maternal emotional well-being.

Indigenous Intellectual Property: A Handbook of Contemporary Research

Taking an interdisciplinary approach unmatched by any other book on this topic, this thoughtful Handbook considers the international struggle to provide for proper and just protection of Indigenous intellectual property (IP). In light of the United Nations Declaration on the Rights of Indigenous Peoples 2007, expert contributors assess the legal and policy controversies over Indigenous knowledge in the fields of international law, copyright law, trademark law, patent law, trade secrets law, and cultural heritage. The overarching discussion examines national developments in Indigenous IP in the United States, Canada, South Africa, the European Union, Australia, New Zealand, and Indonesia. The Handbook provides a comprehensive overview of the historical origins of conflict over Indigenous knowledge, and examines new challenges to Indigenous IP from emerging developments in information technology, biotechnology, and climate change. Practitioners and scholars in the field of IP will learn a great deal from this Handbook about the issues and challenges that surround just protection of a variety of forms of IP for Indigenous communities. Preface The Legacy of David Unaipon Matthew Rimmer Introduction: Mapping Indigenous Intellectual Property Matthew Rimmer PART I INTERNATIONAL LAW 1. The United Nations Declaration on the Rights of Indigenous Peoples: A Human Rights Framework for Indigenous Intellectual Property Mauro Barelli 2. The WTO, The TRIPS Agreement and Traditional Knowledge Tania Voon 3. The World Intellectual Property Organization and Traditional Knowledge Sara Bannerman 4. The World Indigenous Network: Rio+20, Intellectual Property, Indigenous Knowledge, and Sustainable Development Matthew Rimmer PART II COPYRIGHT LAW AND RELATED RIGHTS 5. Government Man, Government Painting? David Malangi and the 1966 One-Dollar Note Stephen Gray 6. What Wandjuk Wanted Martin Hardie 7. Avatar Dreaming: Indigenous Cultural Protocols and Making Films Using Indigenous Content Terri Janke 8. The Australian Resale Royalty for Visual Artists: Indigenous Art and Social Justice Robert Dearn and Matthew Rimmer PART III TRADE MARK LAW AND RELATED RIGHTS 9. Indigenous Cultural Expression and Registered Designs Maree Sainsbury 10. The Indian Arts and Crafts Act: The Limits of Trademark Analogies Rebecca Tushnet 11. Protection of Traditional Cultural Expressions within the New Zealand Intellectual Property Framework: A Case Study of the Ka Mate Haka Sarah Rosanowski 12 Geographical Indications and Indigenous Intellectual Property William van Caenegem PART IV PATENT LAW AND RELATED RIGHTS 13. Pressuring ‘Suspect Orthodoxy’: Traditional Knowledge and the Patent System Chidi Oguamanam, 14. The Nagoya Protocol: Unfinished Business Remains Unfinished Achmad Gusman Siswandi 15. Legislating on Biopiracy in Europe: Too Little, too Late? Angela Daly 16. Intellectual Property, Indigenous Knowledge, and Climate Change Matthew Rimmer PART V PRIVACY LAW AND IDENTITY RIGHTS 17. Confidential Information and Anthropology: Indigenous Knowledge and the Digital Economy Sarah Holcombe 18. Indigenous Cultural Heritage in Australia: The Control of Living Heritages Judith Bannister 19. Dignity, Trust and Identity: Private Spheres and Indigenous Intellectual Property Bruce Baer Arnold 20. Racial Discrimination Laws as a Means of Protecting Collective Reputation and Identity David Rolph PART VI INDIGENOUS INTELLECTUAL PROPERTY: REGIONAL PERSPECTIVES 21. Diluted Control: A Critical Analysis of the WAI262 Report on Maori Traditional Knowledge and Culture Fleur Adcock 22. Traditional Knowledge Governance Challenges in Canada Jeremy de Beer and Daniel Dylan 23. Intellectual Property protection of Traditional Knowledge and Access to Knowledge in South Africa Caroline Ncube 24. Traditional Knowledge Sovereignty: The Fundamental Role of Customary Law in Protection of Traditional Knowledge Brendan Tobin Index

Quality of life after early enteral feeding versus standard care for proven or suspected advanced epithelial ovarian cancer: Results from a randomised trial

Background Malnutrition is common in patients with advanced epithelial ovarian cancer (EOC), and is associated with impaired quality of life (QoL), longer hospital stay and higher risk of treatment-related adverse events. This phase III multi-centre randomised clinical trial tested early enteral feeding versus standard care on postoperative QoL. Methods From 2009 to 2013, 109 patients requiring surgery for suspected advanced EOC, moderately to severely malnourished were enrolled at five sites across Queensland and randomised to intervention (n = 53) or control (n = 56) groups. Intervention involved intraoperative nasojejunal tube placement and enteral feeding until adequate oral intake could be maintained. Despite being randomised to intervention, 20 patients did not receive feeds (13 did not receive the feeding tube; 7 had it removed early). Control involved postoperative diet as tolerated. QoL was measured at baseline, 6 weeks postoperatively and 30 days after the third cycle of chemotherapy. The primary outcome measure was the difference in QoL between the intervention and the control group. Secondary endpoints included treatment-related adverse event occurrence, length of stay, postoperative services use, and nutritional status. Results Baseline characteristics were comparable between treatment groups. No significant difference in QoL was found between the groups at any time point. There was a trend towards better nutritional status in patients who received the intervention but the differences did not reach statistical significance except for the intention-to-treat analysis at 7 days postoperatively (11.8 intervention vs. 13.8 control, p 0.04). Conclusion Early enteral feeding did not significantly improve patients' QoL compared to standard of care but may improve nutritional status.

Switching period randomisation for multilevel converter modulation

The spectral energy associated with the carrier and sidebands of naturally sampled carrier based PWM can be spread by randomising the carrier (switch) half-period Tc = 1/2fc. So long as the switch duty cycle each period still correctly reflects the value of the modulating fundamental waveform as sampled during that switch period, then the fundamental component will remain undistorted. Natural sampling will ensure this occurs. Carrier based PWM can be extended to (m+1) level multilevel converter waveform generation by creating m triangular carriers, each with an equal 2*pi/m phase displacement. Alternatively the carrier disposition strategy calls for m amplitude displaced triangular carriers, each of amplitude 1/m and frequency mfc. Randomising these carrier sub-periods T0> = 1/2mfc is shown to generate (m+ 1) level PWM waveforms where the first (m-1) carrier groups are cancelled, while the remaining carrier and sidebands at multiples of mfc are spectrally spread. Numerous five level simulation and experimentally gathered randomised PWM waveforms are presented, showing the effects of the variation of the degree of randomisation, modulation depth and pulse number.

The height limit of a siphon

The maximum height of a siphon is generally assumed to be dependent on barometric pressure—about 10 m at sea level. This limit arises because the pressure in a siphon above the upper reservoir level is below the ambient pressure, and when the height of a siphon approaches 10 m, the pressure at the crown of the siphon falls below the vapour pressure of water causing water to boil breaking the column. After breaking, the columns on either side are supported by differential pressure between ambient and the low-pressure region at the top of the siphon. Here we report an experiment of a siphon operating at sea level at a height of 15 m, well above 10 m. Prior degassing of the water prevented cavitation. This experiment provides conclusive evidence that siphons operate through gravity and molecular cohesion.

Automated feature engineering for HTTP tunnel detection

Generating discriminative input features is a key requirement for achieving highly accurate classifiers. The process of generating features from raw data is known as feature engineering and it can take significant manual effort. In this paper we propose automated feature engineering to derive a suite of additional features from a given set of basic features with the aim of both improving classifier accuracy through discriminative features, and to assist data scientists through automation. Our implementation is specific to HTTP computer network traffic. To measure the effectiveness of our proposal, we compare the performance of a supervised machine learning classifier built with automated feature engineering versus one using human-guided features. The classifier addresses a problem in computer network security, namely the detection of HTTP tunnels. We use Bro to process network traffic into base features and then apply automated feature engineering to calculate a larger set of derived features. The derived features are calculated without favour to any base feature and include entropy, length and N-grams for all string features, and counts and averages over time for all numeric features. Feature selection is then used to find the most relevant subset of these features. Testing showed that both classifiers achieved a detection rate above 99.93% at a false positive rate below 0.01%. For our datasets, we conclude that automated feature engineering can provide the advantages of increasing classifier development speed and reducing development technical difficulties through the removal of manual feature engineering. These are achieved while also maintaining classification accuracy.

A shallow water AUV for benthic and water column observations

Autonomous underwater vehicles (AUVs) are becoming commonplace in the study of inshore coastal marine habitats. Combined with shipboard systems, scientists are able to make in-situ measurements of water column and benthic properties. In CSIRO, autonomous gliders are used to collect water column data, while surface vessels are used to collect bathymetry information through the use of swath mapping, bottom grabs, and towed video systems. Although these methods have provided good data coverage for coastal and deep waters beyond 50m, there has been an increasing need for autonomous in-situ sampling in waters less than 50m deep. In addition, the collection of benthic and water column data has been conducted separately, requiring extensive post-processing to combine data streams. As such, a new AUV was developed for in-situ observations of both benthic habitat and water column properties in shallow waters. This paper provides an overview of the Starbug X AUV system, its operational characteristics including vision-based navigation and oceanographic sensor integration.

Changes in cannabis use among psychotic clients without specialised substance use treatment

The need to address substance use among people with psychosis has been well established. However, treatment studies targeting substance use in this population have reported mixed results. Substance users with psychosis in no or minimal treatment control groups achieve similar reductions in substance use compared to those in more active substance use treatment, suggesting a role for natural recovery from substance use. This meta-analysis aims to quantify the amount of natural recovery from substance use within control groups of treatment studies containing samples of psychotic substance users, with a particular focus on changes in cannabis use. A systematic search was conducted to identify substance use treatment studies. Meta-analyses were performed to quantify reductions in the frequency of substance use in the past 30 days. Significant but modest reductions (mean reduction of 0.3–0.4 SD across the time points) in the frequency of substance use were found at 6 to 24 months follow up. The current study is the first to quantify changes in substance use in samples enrolled in no treatment or minimal treatment control conditions. These findings highlight the potential role of natural recovery from substance use among individuals with psychosis, although they do not rule out effects of regression to the mean. Additionally, the results provide a baseline from which to estimate likely changes or needed effects sizes in intervention studies. Future research is required to identify the processes underpinning these changes, in order to identify strategies that may better support self-management of substance use in people with psychosis.

Health complaints and regulatory reform: Implications for vulnerable populations?

Complaints and disciplinary processes play a significant role in health professional regulation. Many countries are transitioning from models of self-regulation to greater external oversight through systems including meta regulation, responsive (risk–based) regulation, and “networked governance”. Such systems harness, in differing ways, public, private, professional and non-governmental bodies to exert influence over the conduct of health professionals and services. Interesting literature is emerging regarding complainants’ motivations and experiences, the impact of complaints processes on health professionals and identification of features such as complainant and health professional profiles, types of complaints and outcomes. This paper concentrates on studies identifying vulnerable groups and their participation in health care regulatory systems.

Avian diversification patterns across the K-Pg boundary: Influence of calibrations, datasets, and model misspecification

Birds represent the most diverse extant tetrapod clade, with ca. 10,000 extant species, and the timing of the crown avian radiation remains hotly debated. The fossil record supports a primarily Cenozoic radiation of crown birds, whereas molecular divergence dating analyses generally imply that this radiation was well underway during the Cretaceous. Furthermore, substantial differences have been noted between published divergence estimates. These have been variously attributed to clock model, calibration regime, and gene type. One underappreciated phenomenon is that disparity between fossil ages and molecular dates tends to be proportionally greater for shallower nodes in the avian Tree of Life. Here, we explore potential drivers of disparity in avian divergence dates through a set of analyses applying various calibration strategies and coding methods to a mitochondrial genome dataset and an 18-gene nuclear dataset, both sampled across 72 taxa. Our analyses support the occurrence of two deep divergences (i.e., the Palaeognathae/Neognathae split and the Galloanserae/Neoaves split) well within the Cretaceous, followed by a rapid radiation of Neoaves near the K-Pg boundary. However, 95% highest posterior density intervals for most basal divergences in Neoaves cross the boundary, and we emphasize that, barring unreasonably strict prior distributions, distinguishing between a rapid Early Paleocene radiation and a Late Cretaceous radiation may be beyond the resolving power of currently favored divergence dating methods. In contrast to recent observations for placental mammals, constraining all divergences within Neoaves to occur in the Cenozoic does not result in unreasonably high inferred substitution rates. Comparisons of nuclear DNA (nDNA) versus mitochondrial DNA (mtDNA) datasets and NT- versus RY-coded mitochondrial data reveal patterns of disparity that are consistent with substitution model misspecifications that result in tree compression/tree extension artifacts, which may explain some discordance between previous divergence estimates based on different sequence types. Comparisons of fully calibrated and nominally calibrated trees support a correlation between body mass and apparent dating error. Overall, our results are consistent with (but do not require) a Paleogene radiation for most major clades of crown birds.