863 resultados para Jeremy Bentham
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Communication within and across proteins is crucial for the biological functioning of proteins. Experiments such as mutational studies on proteins provide important information on the amino acids, which are crucial for their function. However, the protein structures are complex and it is unlikely that the entire responsibility of the function rests on only a few amino acids. A large fraction of the protein is expected to participate in its function at some level or other. Thus, it is relevant to consider the protein structures as a completely connected network and then deduce the properties, which are related to the global network features. In this direction, our laboratory has been engaged in representing the protein structure as a network of non-covalent connections and we have investigated a variety of problems in structural biology, such as the identification of functional and folding clusters, determinants of quaternary association and characterization of the network properties of protein structures. We have also addressed a few important issues related to protein dynamics, such as the process of oligomerization in multimers, mechanism on protein folding, and ligand induced communications (allosteric effect). In this review we highlight some of the investigations which we have carried out in the recent past. A review on protein structure graphs was presented earlier, in which the focus was on the graphs and graph spectral properties and their implementation in the study of protein structure graphs/networks (PSN). In this article, we briefly summarize the relevant parts of the methodology and the focus is on the advancement brought out in the understanding of protein structure-function relationships through structure networks. The investigations of structural/biological problems are divided into two parts, in which the first part deals with the analysis of PSNs based on static structures obtained from x-ray crystallography. The second part highlights the changes in the network, associated with biological functions, which are deduced from the network analysis on the structures obtained from molecular dynamics simulations.
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Speed is recognised as a key contributor to crash likelihood and severity, and to road safety performance in general. Its fundamental role has been recognised by making Safe Speeds one of the four pillars of the Safe System. In this context, impact speeds above which humans are likely to sustain fatal injuries have been accepted as a reference in many Safe System infrastructure policy and planning discussions. To date, there have been no proposed relationships for impact speeds above which humans are likely to sustain fatal or serious (severe) injury, a more relevant Safe System measure. A research project on Safe System intersection design required a critical review of published literature on the relationship between impact speed and probability of injury. This has led to a number of questions being raised about the origins, accuracy and appropriateness of the currently accepted impact speed–fatality probability relationships (Wramborg 2005) in many policy documents. The literature review identified alternative, more recent and more precise relationships derived from the US crash reconstruction databases (NASS/CDS). The paper proposes for discussion a set of alternative relationships between vehicle impact speed and probability of MAIS3+ (fatal and serious) injury for selected common crash types. Proposed Safe System critical impact speed values are also proposed for use in road infrastructure assessment. The paper presents the methodology and assumptions used in developing these relationships. It identifies further research needed to confirm and refine these relationships. Such relationships would form valuable inputs into future road safety policies in Australia and New Zealand.
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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
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This is part of a GRDC funded project led by Dr Jeremy Whish of CSIRO Ecosystem Sciences. The project aims to build a root-lesion nematode module into the crop growth simulation program APSIM (Agricultural Production Systems Simulator). This will utilise existing nematode and crop data from field, glasshouse and laboratory research led by Dr John Thompson. New data will be collected to validate and extend the model.
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Endometriosis is a complex disease involving multiple susceptibility genes and environmental factors. Our previous studies on endometriosis identified a region of significant linkage on chromosome 10q. Two biological candidate genes (CYP17A1 and IFIT1) located on chromosome 10q, have previously been implicated in endometriosis and/or uterine function. We hypothesized that variation in CYP17A1 and/or IFIT1 could contribute to the risk of endometriosis and may account for some of the linkage signal on chromosome 10q. We genotyped 17 single nucleotide polymorphisms (SNPs) in the CYP17A1 and IFIT1 genes including SNP rs743572 previously associated with endometriosis in 768 endometriosis cases and 768 unrelated controls. We found no evidence for association between endometriosis and individual SNPs or SNP haplotypes in CYP17A1 and IFIT1. Common variation in these genes does not appear to be a major contributor to endometriosis susceptibility in our Australian sample.
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A leaf-feeding geometrid, Chiasmia assimilis (Warren), was introduced into northern Queensland from South Africa in 2002 as a biological control agent for the invasive woody weed, prickly acacia, Acacia nilotica subsp. indica (Bentham) Brenan. The insect established in infestations in coastal areas between the townships of Ayr and Bowen where the larvae periodically cause extensive defoliation at some localities during summer and autumn. The impact of this herbivory on a number of plant parameters, including shoot length, basal stem diameter, root length, number of leaves, number of branches, and above and below ground biomass was investigated at one coastal site through an insect exclusion trial using potted seedlings and regular spray applications of a systemic insecticide to exclude the biological control agent. Half the seedlings, both sprayed and unsprayed, were placed beneath the prickly acacia canopy, the other half were placed in full sunlight. Larvae of C. assimilis were found on unsprayed seedlings in both situations. The effects of herbivory, however, were significant only for seedlings grown beneath the canopy. At the end of the five-month trial period, shoot length of these seedlings was reduced by 30%, basal stem diameter by 44%, root length by 15%, number of leaves by 97%, above ground biomass by 87%, and below ground biomass by 77% when compared to sprayed seedlings. Implications are that the insect, where established, may reduce seedling growth beneath existing canopies and in turn may help limit the formation of dense infestations. Crown Copyright (C) 2012 Published by Elsevier Inc. All rights reserved.
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Agricultural systems models worldwide are increasingly being used to explore options and solutions for the food security, climate change adaptation and mitigation and carbon trading problem domains. APSIM (Agricultural Production Systems sIMulator) is one such model that continues to be applied and adapted to this challenging research agenda. From its inception twenty years ago, APSIM has evolved into a framework containing many of the key models required to explore changes in agricultural landscapes with capability ranging from simulation of gene expression through to multi-field farms and beyond. Keating et al. (2003) described many of the fundamental attributes of APSIM in detail. Much has changed in the last decade, and the APSIM community has been exploring novel scientific domains and utilising software developments in social media, web and mobile applications to provide simulation tools adapted to new demands. This paper updates the earlier work by Keating et al. (2003) and chronicles the changing external challenges and opportunities being placed on APSIM during the last decade. It also explores and discusses how APSIM has been evolving to a “next generation” framework with improved features and capabilities that allow its use in many diverse topics.
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Key message Eucalyptus pellita demonstrated good growth and wood quality traits in this study, with young plantation grown timber being suitable for both solid and pulp wood products. All traits examined were under moderate levels of genetic control with little genotype by environment interaction when grown on two contrasting sites in Vietnam. Context Eucalyptus pellita currently has a significant role in reforestation in the tropics. Research to support expanded of use of this species is needed: particularly, research to better understand the genetic control of key traits will facilitate the development of genetically improved planting stock. Aims This study aimed to provide estimates of the heritability of diameter at breast height over bark, wood basic density, Kraft pulp yield, modulus of elasticity and microfibril angle, and the genetic correlations among these traits, and understand the importance of genotype by environment interactions in Vietnam. Methods Data for diameter and wood properties were collected from two 10-year-old, open-pollinated progeny trials of E. pellita in Vietnam that evaluated 104 families from six native range and three orchard sources. Wood properties were estimated from wood samples using near-infrared (NIR) spectroscopy. Data were analysed using mixed linear models to estimate genetic parameters (heritability, proportion of variance between seed sources and genetic correlations). Results Variation among the nine sources was small compared to additive variance. Narrow-sense heritability and genetic correlation estimates indicated that simultaneous improvements in most traits could be achieved from selection among and within families as the genetic correlations among traits were either favourable or close to zero. Type B genetic correlations approached one for all traits suggesting that genotype by environment interactions were of little importance. These results support a breeding strategy utilizing a single breeding population advanced by selecting the best individuals across all seed sources. Conclusion Both growth and wood properties have been evaluated. Multi-trait selection for growth and wood property traits will lead to more productive populations of E. pellita both with improved productivity and improved timber and pulp properties.
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Wastewater analysis was used to examine prevalence and temporal trends in the use of two cathinones, methylone and mephedrone, in an urban population (>200,000 people) in South East Queensland, Australia. Wastewater samples were collected from the inlet of the sewage treatment plant that serviced the catchment from 2011 to 2013. Liquid chromatography coupled with tandem mass spectrometry was used to measure mephedrone and methylone in wastewater sample using direct injection mode. Mephedrone was not detected in any samples while methylone was detected in 45% of the samples. Daily mass loads of methylone were normalized to the population and used to evaluate methylone use in the catchment. Methylone mass loads peaked in 2012 but there was no clear temporal trend over the monitoring period. The prevalence of methylone use in the catchment was associated with the use of MDMA, the more popular analogue of methylone, as indicated by other complementary sources. Methylone use was stable in the study catchment during the monitoring period whereas mephedrone use has been declining after its peak in 2010. More research is needed on the pharmacokinetics of emerging illicit drugs to improve the applicability of wastewater analysis in monitoring their use in the population.
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The capacity to conduct international disease outbreak surveillance and share information about outbreaks quickly has empowered both State and Non-State Actors to take an active role in stopping the spread of disease by generating new technical means to identify potential pandemics through the creation of shared reporting platforms. Despite all the rhetoric about the importance of infectious disease surveillance, the concept itself has received relatively little critical attention from academics, practitioners, and policymakers. This book asks leading contributors in the field to engage with five key issues attached to international disease outbreak surveillance - transparency, local engagement, practical needs, integration, and appeal - to illuminate the political effect of these technologies on those who use surveillance, those who respond to surveillance, and those being monitored.
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The capacity to conduct international disease outbreak surveillance and share information about outbreaks quickly has empowered both State and Non-State Actors to take an active role in stopping the spread of disease by generating new technical means to identify potential pandemics through the creation of shared reporting platforms. Despite all the rhetoric about the importance of infectious disease surveillance, the concept itself has received relatively little critical attention from academics, practitioners, and policymakers. This book asks leading contributors in the field to engage with five key issues attached to international disease outbreak surveillance - transparency, local engagement, practical needs, integration, and appeal - to illuminate the political effect of these technologies on those who use surveillance, those who respond to surveillance, and those being monitored.
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Farming systems frameworks such as the Agricultural Production Systems simulator (APSIM) represent fluxes through the soil, plant and atmosphere of the system well, but do not generally consider the biotic constraints that function within the system. We designed a method that allowed population models built in DYMEX to interact with APSIM. The simulator engine component of the DYMEX population-modelling platform was wrapped within an APSIM module allowing it to get and set variable values in other APSIM models running in the simulation. A rust model developed in DYMEX is used to demonstrate how the developing rust population reduces the crop's green leaf area. The success of the linking process is seen in the interaction of the two models and how changes in rust population on the crop's leaves feedback to the APSIM crop modifying the growth and development of the crop's leaf area. This linking of population models to simulate pest populations and biophysical models to simulate crop growth and development increases the complexity of the simulation, but provides a tool to investigate biotic constraints within farming systems and further moves APSIM towards being an agro-ecological framework.
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We explore how a standardization effort (i.e., when a firm pursues standards to further innovation) involves different search processes for knowledge and innovation outcomes. Using an inductive case study of Vanke, a leading Chinese property developer, we show how varying degrees of knowledge complexity and codification combine to produce a typology of four types of search process: active, integrative, decentralized and passive, resulting in four types of innovation outcome: modular, radical, incremental and architectural. We argue that when the standardization effort in a firm involves highly codified knowledge, incremental and architectural innovation outcomes are fostered, while modular and radical innovations are hindered. We discuss how standardization efforts can result in a second-order innovation capability, and conclude by calling for comparative research in other settings to understand how standardization efforts can be suited to different types of search process in different industry contexts.
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In April 2014, the World Health Organization announced the beginning of a post-antibiotic era and declared antimicrobial resistance (AMR) a public health priority demanding global action. If no action is taken, by 2050 AMR will kill more people each year than cancer, with 10 million estimated annual deaths at a cost of $100 trillion to the global economy. New therapies to tackle multidrug resistant bacterial pathogens are urgently needed. Unlike traditional antibiotics, antivirulence drugs inhibit bacterial virulence instead of growth promising to offer a new class of superior therapeutics that will be ‘evolution-proof’ and ‘tailored-spectrum’. This mini-review discusses the latest emerging evidence on the promised benefits of antivirulence drugs over conventional antibiotics, also highlighting the challenges in evaluating these properties for each of the diverse virulence targets that are currently under investigation. The author argues that overcoming such challenges early in the development process constitutes an important step towards successfully progressing each of the expanding number of antivirulence strategies into next-generation therapies for common human and animal infections that are becoming increasingly refractory to all available antibiotics.