Can the Existence of Dark Energy Be Directly Detected?

The majority of astronomers and physicists accept the reality of dark energy and also believe that it can only be studied indirectly through observation of the motions of stars and galaxies. In this paper I open the experimental question of whether it is possible to directly detect dark energy through the presence of dark energy density. Two thirds of this paper outlines the major aspects of dark energy density as now comprehended by the astronomical and physics community. The final third summarizes various proposals for direct detection of dark energy density or its possible effects. At this time I do not have a fruitful answer to the question: Can the Existence of Dark Energy Be Directly Detected?Comment: 4 page

Crop Updates 2008 - Lupins, Pulses and Oilseeds

This session covers twenty six papers from different authors: Regional Roundup 1. SOUTH EAST AGRICULTURAL REGION, Mark Seymour Department of Agriculture and Food, and Robert Johnson CBH Group, Esperance 2. CENTRAL AGRICULTURAL REGION, Ian Pritchard, Department of Agriculture and Food 3. GREAT SOUTHERN AND LAKES REGION, Raj Malik, Department of Agriculture and Food 4. NORTHERN AGRICULTURAL REGION, Wayne Parker and Martin Harries, Department of Agriculture and Food LUPINS 5. Cropping lupins in wide rows in Western Australia, Martin Harries and Bob French, Department of Agriculture and Food 6. The effect of sowing time and radish density on lupin yield, Martin Harries and Jo Walker, Department of Agriculture and Food 7. Lupin agronomy affects crop competitiveness with annual ryegrass, Bob French and Laurie Maiolo, Department of Agriculture and Food 8. Identification of lupin mutants with tolerance to isoxaflutole, Leigh Smith, Department of Agriculture and Food PULSES 9. Chickpea 2007 Crop Variety Testing (CVT) and National Variety Testing (NVT), Alan Harris, Rod Hunter, Tanveer Khan and Jenny Garlinge, Department of Agriculture and Food 10. Desi chickpea breeding: Evaluation of advanced lines, Tanveer Khan1, Poran Gaur2, Kadambot Siddique3, Heather Clarke4, Neil Turner4, William MacLeod4, Stuart Morgan1, Alan Harris1, 1Department of Agriculture and Food, 2International Crop Research Institute for the Semi Arid Tropics (ICRISAT); 3The University of Western Australia; 4Centre for Legumes in Mediterranean Agriculture 11. Can wide rows buffer chickpea growth against dry environments? Bob French and Wendy Vance, Department of Agriculture and Food, and School of Environmental Sciences, Murdoch University 12. Field pea 2007 Crop Variety Testing (CVT) and National Variety Testing (NVT), Alan Harris, Rod Hunter, Tanveer Khan and Jenny Garlinge, Department of Agriculture and Food 13. Australian Field Pea improvement Program (AFPIP): Evaluation of advanced breeding lines, Tanveer Khan1, Phillip Chambers1, Chris Veitch1, Stuart Morgan1, Alan Harris1, and Tony Leonforte 2, 1Department of Agriculture and Food, 2Department of Primary Industries, Victoria 14. Ability of semi-leafless field peas to recover after rolling, Mark Seymour and Rodger Beermier, Department of Agriculture and Food 15. Field pea germplasm enhancement for black spot resistance, Tanveer Khan, Stuart Morgan, Alan Harris and Phillip Chambers, Department of Agriculture and Food 16. Application of ‘Blackspot Manager’ model to identifying a low risk sowing date for field pea in South Australia and Western Australia in 2007, Moin Salam1, Jenny Davidson2, Jean Galloway1, Pip Payne2, Tess Humphries2, Bill MacLeod1 and Art Diggle1, 1Department of Agriculture and Food, 2SARDI, South Australia 17. Late post emergent herbicide sprays for field pea, Mark Seymour and Rodger Beermier, Department of Agriculture and Food 18. Adding triasulfuron to croptopping mixes does not affect the yield of field pea, Mark Seymour, Department of Agriculture and Food 18. Herbicide tolerance of field pea varieties, Harmohinder Dhammu and Mark Seymour, Department of Agriculture and Food 19. Breeding highlights of the PBA lentil program, Michael Materne1, Kerry Regan2, Chris Veitch2 and Phil Chambers2, 1Department of Primary Industries, Victoria 2Department of Agriculture and Food CANOLA 20. How late can I sow canola in 2008? Mohammad Amjad, Andy Sutherland and Pat Fels, Department of Agriculture and Food 21. Direct harvesting canola, Glen Riethmuller1, Wallace Cowling2, Milton Sanders2, Eliot Jones2 and Chris Newman1, 1Department of Agriculture and Food, Western Australia, 2Canola Breeders Western Australia Pty Ltd 22. Agronomic performance of new hybrid canola and juncea canola in low, medium and high rainfall environments of Western Australia, Mohammad Amjad, Andy Sutherland and Pat Fels, Department of Agriculture and Food 23. Comparative performance of new canola varieties in commercial-scale field trials of Oilseeds WA – 2007, Mohammad Amjad1, John Duff2 and David Sermon3 1Department of Agriculture and Food, 2Oilseeds Western Australia and John Duff & Associates, Perth; 3ConsultAg, Perth 24. The effect of rotation crops, trash retention and prophylactic sprays on arthropod abundance in a following canola crop, Svetlana Micic, Anthony Dore and Geoff Strickland, Department of Agriculture and Food OATS 25. Fungicide options for controlling disease in oats, Raj Malik and Blakely Paynter, Department of Agriculture and Food 26. Herbicide tolerance of new oat varieties, Harmohinder Dhammu, Vince Lambert and Chris Roberts, Department of Agriculture and Foo

Ten research priorities related to youth sport, physical activity and health

Background: Sport has been identified as one of the 7 best investments for increasing physical activity levels across the life span. Several questions remain on how to effectively utilize youth sport as a strategy for increasing physical activity and improving health in youth. The purpose of this paper is to identify the main research priorities in the areas of youth sport and physical activity for health. Methods: An international expert panel was convened, selected to cover a wide spectrum of topics related to youth sport. The group developed a draft set of potential research priorities, and relevant research was scoped. Through an iterative process, the group reached consensus on the top 10 research priorities. Results: The 10 research priorities were identified related to sport participation rates, physical activity from sport, the contribution of sport to health, and the overall return on investment from youth sport. For each research priority, the current evidence is summarized, key research gaps are noted, and immediate research needs are suggested. Conclusion: The identified research priorities are intended to guide researchers, policymakers, and practitioners to increase the evidence base on which to base the design, delivery, and policies of youth sport programs to deliver health benefits

Market Failures and Regulatory Failures: Lessons from Past and Present Financial Crises

The paper analyzes the financial crisis of through the lens of market failures and regulatory failures. We present a case that there were four primary failures contributing to the crisis: excessive risk-taking in the financial sector due to mispriced government guarantees; regulatory focus on individual institution risk rather than systemic risk; opacity of positions in financial derivatives that produced externalities from individual firm failures; and runs on the unregulated banking sector that eventually threatened to bring down the entire financial sector. In emphasizing the role of regulatory failures, we provide a description of regulatory evolution in response to the panic of 1907 and the Great Depression, why the regulation put in place then was successful in addressing market failures, but how, over time, especially around the resolutions of Continental Illinois, Savings and Loans crisis and Long-Term Capital Management, expectations of too-big-to-fail status got anchored. We propose specific reforms to address the four market and regulatory failures we identify, and we conclude with some lessons for emerging markets

Quantifying Individual Variation in the Propensity to Attribute Incentive Salience to Reward Cues

If reward-associated cues acquire the properties of incentive stimuli they can come to powerfully control behavior, and potentially promote maladaptive behavior. Pavlovian incentive stimuli are defined as stimuli that have three fundamental properties: they are attractive, they are themselves desired, and they can spur instrumental actions. We have found, however, that there is considerable individual variation in the extent to which animals attribute Pavlovian incentive motivational properties (“incentive salience”) to reward cues. The purpose of this paper was to develop criteria for identifying and classifying individuals based on their propensity to attribute incentive salience to reward cues. To do this, we conducted a meta-analysis of a large sample of rats (N = 1,878) subjected to a classic Pavlovian conditioning procedure. We then used the propensity of animals to approach a cue predictive of reward (one index of the extent to which the cue was attributed with incentive salience), to characterize two behavioral phenotypes in this population: animals that approached the cue (“sign-trackers”) vs. others that approached the location of reward delivery (“goal-trackers”). This variation in Pavlovian approach behavior predicted other behavioral indices of the propensity to attribute incentive salience to reward cues. Thus, the procedures reported here should be useful for making comparisons across studies and for assessing individual variation in incentive salience attribution in small samples of the population, or even for classifying single animals

Selection on Alleles Affecting Human Longevity and Late-Life Disease: The Example of Apolipoprotein E

It is often claimed that genes affecting health in old age, such as cardiovascular and Alzheimer diseases, are beyond the reach of natural selection. We show in a simulation study based on known genetic (apolipoprotein E) and non-genetic risk factors (gender, diet, smoking, alcohol, exercise) that, because there is a statistical distribution of ages at which these genes exert their influence on morbidity and mortality, the effects of selection are in fact non-negligible. A gradual increase with each generation of the ε2 and ε3 alleles of the gene at the expense of the ε4 allele was predicted from the model. The ε2 allele frequency was found to increase slightly more rapidly than that for ε3, although there was no statistically significant difference between the two. Our result may explain the recent evolutionary history of the epsilon 2, 3 and 4 alleles of the apolipoprotein E gene and has wider relevance for genes affecting human longevity

Effect of sitagliptin on cardiovascular outcomes in type 2 diabetes

BACKGROUND: Data are lacking on the long-term effect on cardiovascular events of adding sitagliptin, a dipeptidyl peptidase 4 inhibitor, to usual care in patients with type 2 diabetes and cardiovascular disease. METHODS: In this randomized, double-blind study, we assigned 14,671 patients to add either sitagliptin or placebo to their existing therapy. Open-label use of antihyperglycemic therapy was encouraged as required, aimed at reaching individually appropriate glycemic targets in all patients. To determine whether sitagliptin was noninferior to placebo, we used a relative risk of 1.3 as the marginal upper boundary. The primary cardiovascular outcome was a composite of cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for unstable angina. RESULTS: During a median follow-up of 3.0 years, there was a small difference in glycated hemoglobin levels (least-squares mean difference for sitagliptin vs. placebo, -0.29 percentage points; 95% confidence interval [CI], -0.32 to -0.27). Overall, the primary outcome occurred in 839 patients in the sitagliptin group (11.4%; 4.06 per 100 person-years) and 851 patients in the placebo group (11.6%; 4.17 per 100 person-years). Sitagliptin was noninferior to placebo for the primary composite cardiovascular outcome (hazard ratio, 0.98; 95% CI, 0.88 to 1.09; P<0.001). Rates of hospitalization for heart failure did not differ between the two groups (hazard ratio, 1.00; 95% CI, 0.83 to 1.20; P = 0.98). There were no significant between-group differences in rates of acute pancreatitis (P = 0.07) or pancreatic cancer (P = 0.32). CONCLUSIONS: Among patients with type 2 diabetes and established cardiovascular disease, adding sitagliptin to usual care did not appear to increase the risk of major adverse cardiovascular events, hospitalization for heart failure, or other adverse events

Alcohol devaluation has dissociable effects on distinct components of alcohol behaviour

Rationale Substance-related behaviour is often viewed as an appetitive behaviour, motivated by the reinforcing effects of the drug. However, there are various indices of substance motivation (e.g. attentional bias, behavioural economic demand, craving) and it is unclear how these are related or whether they play an important role in all types of substance-related behaviour. Objectives (1) To determine the effect of alcohol devaluation on several indices of alcohol motivation and goal-directed and cue-elicited alcohol behaviour. (2) To investigate which components of motivation mediate any effect of devaluation on behaviour. Methods Sixty-two social drinkers gave baseline measures of alcohol craving, behavioural economic demand and choice for alcohol vs. soft drink. Participants tasted alcohol which was either unadulterated (control) or adulterated with a bitter solution (devaluation) before craving and demand were measured again. Alcohol choice was assessed in several phases: extinction (evaluating goal-directed behaviour), in the presence of drink cues (Pavlovian-to-instrumental transfer (PIT, cue-elicited behaviour)), and reacquisition. Attentional bias (AB) was measured by tracking eye movements towards the drink cues during novel PIT trials where both cues were presented. Finally, consumption was evaluated in a taste test. Results Alcohol devaluation reduced alcohol-related demand, AB, alcohol choice in all phases, and consumption. Alcohol cues presented during PIT increased alcohol choice above baseline irrespective of devaluation. AB and demand for alcohol fully mediated the effect of devaluation on alcohol choice during extinction, AB fully mediated the effect on cue-elicited (specific PIT) alcohol choice and alcohol consumption. Conclusions Alcohol behaviour in social drinkers is largely sensitive to devaluation, i.e. governed by current motivational value of the drug (suggesting goal-directed behaviour). However, a dissociable form of stimulus control can also drive alcohol-seeking independently of drug value (specific PIT). Mediation analyses suggests that AB may play a paradoxical role in both forms of alcohol seeking and consumption

Outcome of non-surgical re-treatment

The purpose of this review was to critically analyze the relevant literature in order to synthesize an overview on the clinical outcomes (radiographically judged periapical healing and tooth survival) following root canal re‐treatment and the factors influencing them. A further aim was to explain the findings on the basis of current knowledge and understanding. The relevant literature was captured and critiqued using the principles of a systematic review. The data were classified into a coherent structure for analyses and presentation but are not presented as a systematic review; rather, the authors have chosen a narrative style to enable integration of the clinical outcomes with relevant findings from laboratory and animal studies. Overall, the outcomes were similar to those for teeth undergoing primary treatment with common factors influencing the outcomes. The major differences between the outcomes of primary and secondary root canal (re‐)treatment reside only in the ability to predictably access and negotiate the root canal system to the (residual) apical infection. The data offer a very favorable prognosis for non‐surgical root canal re‐treatment performed to guideline standards

Proceedings of the 3rd Biennial Conference of the Society for Implementation Research Collaboration (SIRC) 2015: advancing efficient methodologies through community partnerships and team science

It is well documented that the majority of adults, children and families in need of evidence-based behavioral health interventionsi do not receive them [1, 2] and that few robust empirically supported methods for implementing evidence-based practices (EBPs) exist. The Society for Implementation Research Collaboration (SIRC) represents a burgeoning effort to advance the innovation and rigor of implementation research and is uniquely focused on bringing together researchers and stakeholders committed to evaluating the implementation of complex evidence-based behavioral health interventions. Through its diverse activities and membership, SIRC aims to foster the promise of implementation research to better serve the behavioral health needs of the population by identifying rigorous, relevant, and efficient strategies that successfully transfer scientific evidence to clinical knowledge for use in real world settings [3]. SIRC began as a National Institute of Mental Health (NIMH)-funded conference series in 2010 (previously titled the “Seattle Implementation Research Conference”; $150,000 USD for 3 conferences in 2011, 2013, and 2015) with the recognition that there were multiple researchers and stakeholdersi working in parallel on innovative implementation science projects in behavioral health, but that formal channels for communicating and collaborating with one another were relatively unavailable. There was a significant need for a forum within which implementation researchers and stakeholders could learn from one another, refine approaches to science and practice, and develop an implementation research agenda using common measures, methods, and research principles to improve both the frequency and quality with which behavioral health treatment implementation is evaluated. SIRC’s membership growth is a testament to this identified need with more than 1000 members from 2011 to the present.ii SIRC’s primary objectives are to: (1) foster communication and collaboration across diverse groups, including implementation researchers, intermediariesi, as well as community stakeholders (SIRC uses the term “EBP champions” for these groups) – and to do so across multiple career levels (e.g., students, early career faculty, established investigators); and (2) enhance and disseminate rigorous measures and methodologies for implementing EBPs and evaluating EBP implementation efforts. These objectives are well aligned with Glasgow and colleagues’ [4] five core tenets deemed critical for advancing implementation science: collaboration, efficiency and speed, rigor and relevance, improved capacity, and cumulative knowledge. SIRC advances these objectives and tenets through in-person conferences, which bring together multidisciplinary implementation researchers and those implementing evidence-based behavioral health interventions in the community to share their work and create professional connections and collaborations