78 research outputs found
The Frontiers of Human Rights: Reflections on the Implications of the Supreme Court’s Judgments in Omar Khadr 2008 and 2010
The question of the extra-territorial reach of Canada’s international human rights obligations, as enforced through the Charter has been at the heart of several recent high-profile cases, including the handling of battlefield detainees in Afghanistan and the plight of Canadian citizen Omar Khadr, held at Guantánamo Bay since October 2002. Omar Khadr’s case has come before the Supreme Court of Canada on two occasions and in both instances the Court held that the Charter applied when Canadian officials interrogated him at Guantánamo Bay in clear breach of Canada’s international human rights obligations. However, in other cases courts have refused to allow extra-territorial application of the Charter, including the Afghan prisoners case and the cases of Guantánamo prisoners who were also questioned by Canadian officials but who do not carry Canadian citizenship. This article examines the different reasoning used in these conflicting cases and makes a call for a coherent approach in line with Canada’s international human rights obligations
Inequality and Social Rank: Income Increases Buy More Life Satisfaction in More Equal Countries
How do income and income inequality combine to influence subjective well-being? We examined the relation between income and life satisfaction in different societies, and found large effects of income inequality within a society on the relationship between individuals’ incomes and their life satisfaction. The income–satisfaction gradient is steeper in countries with more equal income distributions, such that the positive effect of a 10% increase in income on life satisfaction is more than twice as large in a country with low income inequality as it is in a country with high income inequality. These findings are predicted by an income rank hypothesis according to which life satisfaction is derived from social rank. A fixed increment in income confers a greater increment in social position in a more equal society. Income inequality may influence people’s preferences, such that in unequal countries people’s life satisfaction is determined more strongly by their income
Individual differences in loss aversion: conscientiousness predicts how life satisfaction responds to losses versus gains in income
Loss aversion is considered a general pervasive bias occurring regardless of context or person making the decision. We hypothesized that conscientiousness would predict an aversion to losses in the financial domain. We index loss aversion by the relative impact of income losses and gains on life satisfaction. In a representative German sample (N¬ = 105,558: replicated in a British sample, N = 33,848), with conscientiousness measured at baseline, those high on conscientiousness have the strongest reactions to income losses, suggesting a pronounced loss aversion effect, whilst for those moderately un-conscientious there is no loss aversion effect. Our research; (a) provides the first evidence of personality moderation of any loss aversion phenomena; (b) supports contextual perspectives that both personality and situational factors need to be examined in combination; (c) shows that the small but robust relationship with life satisfaction is primarily driven by a subset of people experiencing highly impactful losses
Crop Updates - 2003 Weeds
This session covers Thirty four papers from different authors
INTRODUCTION
INTEGRATED WEED MANAGEMENT
IWM system studies/demonstration sites
Six years of IWM investigation – what does it tell us? Bill Roy, Agricultural Consulting and Research Services Pty Ltd
Long term herbicide resistance site, the final chapter, Peter Newman and Glen Adam, Department of Agriculture
Management of skeleton weed (chondrilla juncea) in a cropping rotation in Western Australia, J. R. Peirce and B. J. Rayner, Department of Agriculture
WEED BIOLOGY AND COMPETITION
Annual ryegrass seedbanks: The good, the bad and the ugly, Kathryn J. Steadman1, Amanda J. Ellery2 and Sally C. Peltzer3 , 1WA Herbicide Resistance Initiative, UWA, 2CSIRO Plant Industry, 3 Department of Agriculture
Annual ryegrass seeds after-ripen faster during a hot summer, Kathryn J. Steadman1, Gavin P. Bignell1 and Amanda J. Ellery2, 1WA Herbicide Resistance Initiative, UWA, 2CSIRO Plant Industry
Predicting annual ryegrass dormancy from climatic variables, Amanda Ellery, Andrew Moore, Sandy Nedelkos, Ross Chapman, CSIRO Plant Industry
Removing dormancy in annual ryegrass seeds for early herbicide resistance testing, Kathryn J. Steadman and Mechelle J. Owen, WA Herbicide Resistance Initiative, UWA
Annual ryegrass germination responds to nitrogen, Amanda Ellery1, Simone Dudley1 and Robert Gallagher2, 1CSIRO Plant Industry, 2Washington State University
The agro-ecology of Malva parviflora (small flowered mallow), Pippa J. Michael, Kathryn J. Steadman and Julie A. Plummer, Western Australia Herbicide Resistance Initiative, School of Plant Biology, University of Western Australia
The looming threat of wild radish, Peter Newman, Department of Agriculture
IWM TOOLS
Double knock, how close can we go? Peter Newman and Glen Adam, Department of Agriculture
Double knock herbicide effect on annual ryegrass, Catherine Borger, Abul Hashem and Nerys Wilkins, Department of Agriculture
Tactical techniques for managing Annual Ryegrass, Sally Peltzer1, Alex Douglas1, Fran Hoyle1, Paul Matson1 and Michael Walsh2 Department of Agriculture and 2Western Australian Herbicide Resistance Initiative.
Weed control through soil inversion, Sally Peltzer, Alex Douglas and Paul Matson, Department of Agriculture
The burning issues of annual ryegrass seed control, Darren Chitty and Michael Walsh, Western Australian Herbicide Resistance Initiative, UWA
No sign of chaff-cart resistant ryegrass! David Ferris, WA Herbicide Resistance Initiative UWA
PACKAGES AND MODELLING
Conserving glyphosate susceptibility – modelling past, present and future us. Paul Neve1, Art Diggle2, Patrick Smith3 and Stephen Powles1 ,1Western Australian Herbicide Resistance Initiative, School of Plant Biology, University of Western Australia, 2Department of Agriculture, 3CSIRO Sustainable Ecosystems
WEEDEM: A program for predicting weed emergence in Western Australia, Michael Walsh,1 David Archer2, James Eklund2 and Frank Forcella2, 1Western Australia Herbicide Resistance Initiative, UWA, 2USDA-Agricultural Research Service, 803 Iowa Avenue, Morris, MN 56267, USA
Weed and herbicide management for long term profit: A workshop, Alister Draper1 and Rick Llewellyn12, 1WA Herbicide Resistance Initiative, 2School of Agricultural and Resource Economics, University of Western Australia
HERBICIDE RESISTANCE
Alternative herbicides for control of triazine and diflufenican multiple resistant wild radish, Aik Cheam1, Siew Lee1, David Nicholson1 and Mike Clarke2 1Department of Agriculture, Western Australia, 2Bayer CropScience
Resistance of wild mustard biotype to ALS-inhibiting herbicides in WA Wheatbelt, Abul Hashem, Department of Agriculture
Glyphosate-resistant ryegrass biotypes in the WA wheatbelt, Abul Hashem, Catherine Borger and Nerys Wilkins, Department of Agriculture
Implications of herbicide rates for resistance management, Paul Neve, Western Australian Herbicide Resistance Initiative, University of Western Australia
Putting a price on herbicide resistance, Rick Llewellyn, School of Agricultural and Resource Economics/WA Herbicide Resistance Initiative, University of Western Australia
Herbicide resistance from over the fence: Mobility and management, Debbie Allena, Rick Llewellynb, aUniversity of Western Australia, 4th year student, 2002. Mingenew-Irwin Group, bSchool of Agricultural and Resource Economics/Western Australia Herbicide Resistance Initiative, University of Western Australia
HERBICIDE TOLERANCE
Herbicide tolerance of new barley varieties, Harmohinder S. Dhammu and Terry Piper, Department of Agriculture
Herbicide tolerance of new lupins, Harmohinder S. Dhammu, Terry Piper and David Nicholson, Department of Agriculture
Herbicide tolerance of new field pea varieties, Harmohinder S. Dhammu, Terry Piper and David Nicholson, Department of Agriculture
Herbicide tolerance of new lentil varieties, H.S. Dhammu, T.J. Piper and L.E. Young, Department of Agriculture
HERBICIDES – NEW PRODUCTS/PRODUCT USES; USE
Kill half leaf ryegrass with Spray.Seed® at night, Peter Newman and Glenn Adam, Department of Agriculture
CLEARFIELD™ wheat to control hard-to-kill weeds, Abul Hashem, Catherine Borger and Nerys Wilkins, Department of Agriculture
Diuron, a possible alternative to simazine pre-emergent in lupins, Peter Newman and Glenn Adam, Department of Agriculture
Dual Gold® soft on barley, soft on weeds in dry conditions, Peter Newman and Glenn Adam, Department of Agriculture
Dual Gold® soft on lupins, soft on ryegrass in dry conditions, Peter Newman and Glenn Adam, Department of Agricultur
Crop Updates 2002 - Oilseeds
This session covers twenty seven papers from different authors:
1. Forward and acknowledgements, Dave Eksteen, ACTING MANAGER OILSEEDS PRODUCTIVITY AND INDUSTRY DEVELOPMENT Department of Agriculture
PLENARY SESSION
2. GMO canola - Track record in Canada, K. Neil Harker and George W. Clayton,Agriculture and Agri-Food Canada, Lacombe Research Centre, Lacombe, Alberta, R. Keith Downey, Agriculture and Agri-Food Canada, Saskatoon Research Centre, Saskatoon, Saskatchewan
3. GMO canola – Prospects in Western Australia farming systems, Keith Alcock, Crop Improvement Institute, Department of Agriculture
4. Diamondback moth (DBM) in canola, Kevin Walden, Department of Agriculture
CANOLA AGRONOMY
5. Getting the best out of canola in the low rainfall central wheatbelt, Bevan Addison and Peter Carlton, Elders Ltd
6. Canola variety performance in Western Australia, Kevin Morthorpe, Stephen Addenbrooke and Alex Ford, Pioneer Hi-Bred Australia P/L
7. Relative performance of new canola varieties in Department of Agriculture variety trials in 2000 and 2001, S. Hasan Zaheer, GSARI, Department of Agriculture, G. Walton, Crop Improvement Institute, Department of Agriculture
8. Which canola cultivar should I sow? Imma Farré, CSIRO Plant Industry, Floreat, Bill Bowden,Western Australia Department of Agriculture
9. The effect of seed generation and seed source on yield and quality of canola, Paul Carmody, Department of Agriculture
10. The accumulation of oil in Brassica species, J.A. Fortescue and D.W. Turner, Plant Biology, Faculty of Natural and Agricultural Sciences, The University of Western Australia, B. Tan, PO Box 1249, South Perth
11. Potential and performance of alternative oilseeds in WA, Margaret C. Campbell, Centre for Legumes in Mediterranean Agriculture
12. Comparison of oilseed crops in WA, Ian Pritchard and Paul Carmody, Department of Agriculture, Centre for Cropping Systems, Margaret Campbell, Centre for Legumes in Mediterranean Agriculture
13. Identifying constraints to canola production, Dave Eksteen, Canola Development Officer, Department of Agriculture
14. Boron – should we be worried about it? Richard W. BellA, K. FrostA, Mike WongB, and Ross BrennanC , ASchool of Environmental Science, Murdoch University, BCSIRO Land and Water, CDepartment of Agriculture
PEST AND DISEASE 15. Yield losses caused when Beet Western Yellows Virus infects canola, Roger Jones and Jenny Hawkes, Department of Agriculture, and Centre for Legumes in Mediterranean Agriculture
16. Influence of climate on aphid outbreaks and virus epidemics in canola, Debbie Thackray, Jenny Hawkes and Roger Jones, Centre for Legumes in Mediterranean Agriculture and Department of Agriculture
17. The annual shower of blackleg ascospores in canola: Can we predict and avoid it? Moin U. Salam, Ravjit K. Khangura, Art J. Diggle and Martin J. Barbetti, Department of Agriculture
18. Environmental influences on production and release of ascospores of blackleg and their implications in blackleg management in canola, Ravjit K. Khangura, Martin J. Barbetti , Moin U. Salam and Art J. Diggle, Department of Agriculture
19. WA blackleg resistance ratings on canola varieties form 2002, Ravjit Khangura, Martin J. Barbetti and Graham Walton, Department of Agriculture
20. Bronzed field beetle management in canola, Phil Michael, Department of Agriculture
21. DBM control in canola: Aerial versus boom application, Paul Carmody, Department of Agriculture
22. Effect of single or multiple spray trearments on the control of Diamondback moth (Plutella xylostella) and yield of canola at Wongan Hills, Françoise Berlandier, Paul Carmody and Christiaan Valentine, Department of Agriculture
ESTABLISHMENT
23. GrainGuardÔ - A biosecurity plan for the canola industry, Greg Shea, Department of Agriculture
24. Large canola seed is best, particularly for deep sowing, Glen Riethmuller, Rafiul Alam, Greg Hamilton and Jo Hawksley, Department of Agriculture
25. Canola establishment with seed size, tines and discs, with and without stubble, Glen Riethmuller, Rafiul Alam, Greg Hamilton and Jo Hawksley, Department of Agriculture
WEEDS
26. Role of Roundup ReadyÒ canola in the farming system, Art Diggle1, Patrick Smith2, Paul Neve3, Felicity Flugge4, Amir Abadi5, Stephen Powles3 1Department of Agriculture, 2CSIRO, Sustainable Ecosystems, 3Western Australian Herbicide Resistance Initiative, University of Western Australia, 4Centre for Legumes in Mediterranean Agriculture, University of Western Australia, 5Touchstone Consulting,
Mt Hawthorn
FEED
27. Getting value from canola meals in the animal feed industries: Aquaculture, Brett Glencross and John Curnow, Department of Fisheries - Government of Western Australia and Wayne Hawkins, Department of Agricultur
Oncogenic Pathway Combinations Predict Clinical Prognosis in Gastric Cancer
Many solid cancers are known to exhibit a high degree of heterogeneity in their deregulation of different oncogenic pathways. We sought to identify major oncogenic pathways in gastric cancer (GC) with significant relationships to patient survival. Using gene expression signatures, we devised an in silico strategy to map patterns of oncogenic pathway activation in 301 primary gastric cancers, the second highest cause of global cancer mortality. We identified three oncogenic pathways (proliferation/stem cell, NF-κB, and Wnt/β-catenin) deregulated in the majority (>70%) of gastric cancers. We functionally validated these pathway predictions in a panel of gastric cancer cell lines. Patient stratification by oncogenic pathway combinations showed reproducible and significant survival differences in multiple cohorts, suggesting that pathway interactions may play an important role in influencing disease behavior. Individual GCs can be successfully taxonomized by oncogenic pathway activity into biologically and clinically relevant subgroups. Predicting pathway activity by expression signatures thus permits the study of multiple cancer-related pathways interacting simultaneously in primary cancers, at a scale not currently achievable by other platforms
Mapping disparities in education across low- and middle-income countries
Analyses of the proportions of individuals who have completed key levels of schooling across all low- and middle-income countries from 2000 to 2017 reveal inequalities across countries as well as within populations. Educational attainment is an important social determinant of maternal, newborn, and child health(1-3). As a tool for promoting gender equity, it has gained increasing traction in popular media, international aid strategies, and global agenda-setting(4-6). The global health agenda is increasingly focused on evidence of precision public health, which illustrates the subnational distribution of disease and illness(7,8); however, an agenda focused on future equity must integrate comparable evidence on the distribution of social determinants of health(9-11). Here we expand on the available precision SDG evidence by estimating the subnational distribution of educational attainment, including the proportions of individuals who have completed key levels of schooling, across all low- and middle-income countries from 2000 to 2017. Previous analyses have focused on geographical disparities in average attainment across Africa or for specific countries, but-to our knowledge-no analysis has examined the subnational proportions of individuals who completed specific levels of education across all low- and middle-income countries(12-14). By geolocating subnational data for more than 184 million person-years across 528 data sources, we precisely identify inequalities across geography as well as within populations.Peer reviewe
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