Using the Driver Behaviour Questionnaire to predict crashes and demerit point loss: Does it get better with larger sample sizes?

The Driver Behaviour Questionnaire (DBQ) continues to be the most widely utilised self-report scale globally to assess crash risk and aberrant driving behaviours among motorists. However, the scale also attracts criticism regarding its perceived limited ability to accurately identify those most at risk of crash involvement. This study reports on the utilisation of the DBQ to examine the self-reported driving behaviours (and crash outcomes) of drivers in three separate Australian fleet samples (N = 443, N = 3414, & N = 4792), and whether combining the samples increases the tool’s predictive ability. Either on-line or paper versions of the questionnaire were completed by fleet employees in three organisations. Factor analytic techniques identified either three or four factor solutions (in each of the separate studies) and the combined sample produced expected factors of: (a) errors, (b) highway-code violations and (c) aggressive driving violations. Highway code violations (and mean scores) were comparable across the studies. However, across the three samples, multivariate analyses revealed that exposure to the road was the best predictor of crash involvement at work, rather than DBQ constructs. Furthermore, combining the scores to produce a sample of 8649 drivers did not improve the predictive ability of the tool for identifying crashes (e.g., 0.4% correctly identified) or for demerit point loss (0.3%). The paper outlines the major findings of this comparative sample study in regards to utilising self-report measurement tools to identify “at risk” drivers as well as the application of such data to future research endeavours

Investigating mirror system (MS) activity in adults with ASD when inferring others' intentions using both TMS and EEG

ASD is associated with mentalizing deficits that may correspond with atypical mirror system (MS) activation. We investigated MS activity in adults with and without ASD when inferring others’ intentions using TMS-induced motor evoked potentials (MEPs) and mu suppression measured by EEG. Autistic traits were measured for all participants. Our EEG data show, high levels of autistic traits predicted reduced right mu (8–10 Hz) suppression when mentalizing. Higher left mu (8–10 Hz) suppression was associated with superior mentalizing performances. Eye-tracking and TMS data showed no differences associated with autistic traits. Our data suggest ASD is associated with reduced right MS activity when mentalizing, TMS-induced MEPs and mu suppression measure different aspects of MS functioning and the MS is directly involved in inferring intentions

Investigating mirror system (MS) activity in adults with ASD when inferring others\u27 intentions using both TMS and EEG

ASD is associated with mentalizing deficits that may correspond with atypical mirror system (MS) activation. We investigated MS activity in adults with and without ASD when inferring others’ intentions using TMS-induced motor evoked potentials (MEPs) and mu suppression measured by EEG. Autistic traits were measured for all participants. Our EEG data show, high levels of autistic traits predicted reduced right mu (8–10 Hz) suppression when mentalizing. Higher left mu (8–10 Hz) suppression was associated with superior mentalizing performances. Eye-tracking and TMS data showed no differences associated with autistic traits. Our data suggest ASD is associated with reduced right MS activity when mentalizing, TMS-induced MEPs and mu suppression measure different aspects of MS functioning and the MS is directly involved in inferring intentions

Efficacy of proxy definitions for identification of fatigue/sleep-related crashes: An Australian evaluation

Fatigue/sleepiness is recognised as an important contributory factor in fatal and serious injury road traffic incidents (RTIs), however, identifying fatigue/sleepiness as a causal factor remains an uncertain science. Within Australia attending police officers at a RTI report the causal factors; one option is fatigue/sleepiness. In some Australian jurisdictions police incident databases are subject to post‐hoc analysis using a proxy definition for fatigue/sleepiness. This secondary analysis identifies further RTIs caused by fatigue/sleepiness not initially identified by attending officers. The current study investigates the efficacy of such proxy definitions for attributing fatigue/sleepiness as a RTI causal factor. Over 1,600 Australian drivers were surveyed regarding their experience and involvement in fatigue/sleep‐related RTIs and near‐misses during the past five years. Driving while fatigued/sleepy had been experienced by the majority of participants (66.0% of participants). Fatigue/sleep‐related near misses were reported by 19.1% of participants, with 2.4% being involved in a fatigue/sleep‐related RTI. Examination of the characteristics for the most recent event (either a near miss or crash) found that the largest proportion of incidents (28.0%) occurred when commuting to or from work, followed by social activities (25.1%), holiday travel (19.8%), or for work purposes (10.1%). The fatigue/sleep related RTI and near‐miss experience of a representative sample of Australian drivers does not reflect the proxy definitions used for fatigue/sleepiness identification. In particular those RTIs that occur in urban areas and at slow speeds may not be identified. While important to have a strategy for identifying fatigue/sleepiness related RTIs proxy measures appear best suited to identifying specific subsets of such RTIs

Co-ordinated expression of amino acid metabolism in response to N and S deficiency during wheat grain filling

Increasing demands for productivity together with environmental concerns about fertilizer use dictate that the future sustainability of agricultural systems will depend on improving fertilizer use efficiency. Characterization of the biological processes responsible for efficient fertilizer use will provide tools for crop improvement under reduced inputs. Transcriptomic and metabolomic approaches were used to study the impact of nitrogen (N) and sulphur (S) deficiency on N and S remobilization from senescing canopy tissues during grain filling in winter wheat (Triticum aestivum). Canopy tissue N was remobilized effectively to the grain after anthesis. S was less readily remobilized. Nuclear magnetic resonance (NMR) metabolite profiling revealed significant effects of suboptimal N or S supply in leaves but not in developing grain. Analysis of amino acid pools in the grain and leaves revealed a strategy whereby amino acid biosynthesis switches to the production of glutamine during grain filling. Glutamine accumulated in the first 7 d of grain development, prior to conversion to other amino acids and protein in the subsequent 21 d. Transcriptome analysis indicated that a down-regulation of the terminal steps in many amino acid biosynthetic pathways occurs to control pools of amino acids during leaf senescence. Grain N and S contents increased in parallel after anthesis and were not significantly affected by S deficiency, despite a suboptimal N:S ratio at final harvest. N deficiency resulted in much slower accumulation of grain N and S and lower final concentrations, indicating that vegetative tissue N has a greater control of the timing and extent of nutrient remobilization than S

The "Ram Effect": A "Non-Classical" Mechanism for Inducing LH Surges in Sheep

During spring sheep do not normally ovulate but exposure to a ram can induce ovulation. In some ewes an LH surge is induced immediately after exposure to a ram thus raising questions about the control of this precocious LH surge. Our first aim was to determine the plasma concentrations of oestradiol (E2) E2 in anoestrous ewes before and after the "ram effect" in ewes that had a "precocious" LH surge (starting within 6 hours), a "normal" surge (between 6 and 28h) and "late» surge (not detected by 56h). In another experiment we tested if a small increase in circulating E2 could induce an LH surge in anoestrus ewes. The concentration of E2 significantly was not different at the time of ram introduction among ewes with the three types of LH surge. "Precocious" LH surges were not preceded by a large increase in E2 unlike "normal" surges and small elevations of circulating E2 alone were unable to induce LH surges. These results show that the "precocious" LH surge was not the result of E2 positive feedback. Our second aim was to test if noradrenaline (NA) is involved in the LH response to the "ram effect". Using double labelling for Fos and tyrosine hydroxylase (TH) we showed that exposure of anoestrous ewes to a ram induced a higher density of cells positive for both in the A1 nucleus and the Locus Coeruleus complex compared to unstimulated controls. Finally, the administration by retrodialysis into the preoptic area, of NA increased the proportion of ewes with an LH response to ram odor whereas treatment with the α1 antagonist Prazosin decreased the LH pulse frequency and amplitude induced by a sexually active ram. Collectively these results suggest that in anoestrous ewes NA is involved in ram-induced LH secretion as observed in other induced ovulators

S100A7 and the progression of breast cancer

The S100 gene family comprises more than 20 members whose protein sequences encompass at least one EF-hand Ca(2+ )binding motif. The expression of individual family members is not ubiquitous for all tissues and there appears to be an element of tissue-specific expression. Molecular analysis of breast tumors has revealed that several S100s, including S100A2, S100A4 and S100A7, exhibit altered expression levels during breast tumorigenesis and/or progression. Subsequent studies have started to describe a functional role for these S100 proteins as well as their mechanism of action and the biochemical pathways they modify. The present review outlines what is known about S100A7 in breast cancer and summarizes the need to better understand the importance of this protein in breast cancer

2015 recommendations for the management of polymyalgia rheumatica: a European League Against Rheumatism/American College of Rheumatology collaborative initiative

Therapy for polymyalgia rheumatica (PMR) varies widely in clinical practice as international recommendations for PMR treatment are not currently available. In this paper, we report the 2015 European League Against Rheumatism (EULAR)/American College of Rheumatology (ACR) recommendations for the management of PMR. We used the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology as a framework for the project. Accordingly, the direction and strength of the recommendations are based on the quality of evidence, the balance between desirable and undesirable effects, patients'and clinicians'values and preferences, and resource use. Eight overarching principles and nine specific recommendations were developed covering several aspects of PMR, including basic and follow-up investigations of patients under treatment, risk factor assessment, medical access for patients and specialist referral, treatment strategies such as initial glucocorticoid (GC) doses and subsequent tapering regimens, use of intramuscular GCs and disease modifying anti-rheumatic drugs (DMARDs), as well as the roles of non-steroidal anti-rheumatic drugs and non-pharmacological interventions. These recommendations will inform primary, secondary and tertiary care physicians about an international consensus on the management of PMR. These recommendations should serve to inform clinicians about best practices in the care of patients with PMR

Crop Updates 2001 - Weeds

This session covers forty six papers from different authors: 1. INTRODUCTION, Vanessa Stewart, Agriculture Western Australia PLENARY 2. Wild radish – the implications for our rotations, David Bowran, Centre for Cropping Systems INTEGRATED WEED MANAGEMENT IWM system studies/demonstration sites 3. Integrated weed management: Cadoux, Alexandra Wallace, Agriculture Western Australia 4. A system approach to managing resistant ryegrass, Bill Roy, Agricultural Consulting and Research Services Pty Ltd, York 5. Long term herbicide resistance demonstration, Peter Newman, Agriculture Western Australia, Cameron Weeks, Tony Blake and Dave Nicholson 6. Integrated weed management: Katanning, Alexandra Wallace, Agriculture Western Australia 7. Integrated weed management: Merredin, Vanessa Stewart, Agriculture Western Australia 8. Short term pasture phases for weed control, Clinton Revell and Candy Hudson, Agriculture Western Australia Weed biology – implications for IWM 9. Competitivness of wild radish in a wheat-lupin rotation , Abul Hashem, Nerys Wilkins, and Terry Piper, Agriculture Western Australia 10. Population explosion and persistence of wild radish in a wheat-lupin rotation, Abul Hashem, Nerys Wilkins, Aik Cheam and Terry Piper , Agriculture Western Australia 11. Variation is seed dormancy and management of annual ryegrass, Amanda Ellery and Ross Chapman, CSIRO 12. Can we eradicate barley grass, Sally Peltzer, Agriculture Western Australia Adoption and modelling 13. Where to with RIM? Vanessa Stewart1 and Robert Barrett-Lennard2, 1Agriculture Western Australia, 2Western Australian Herbicide Resistance Initiative (WAHRI) 14. Multi-species RIM model, Marta Monjardino1,2, David Pannell2 and Stephen Powles1 1Western Australian Herbicide Resistance Initiative (WAHRI), 2ARE, University of Western Australia 15. What causes WA grain growers to adopt IWM practices? Rick Llewellyn, WAHRI/ARE, Faculty of Agriculture, University of WA New options for IWM? 16. Fuzzy tramlines for more yield and less weeds, Paul Blackwell Agriculture Western Australia, and Maurice Black, Harbour Lights Estate, Geraldton 17. Inter-row knockdowns for profitable lupins, Paul Blackwell, Agriculture Western Australia and Miles Obst, Farmer Mingenew 18. Row cropping and weed control in lupins, Mike Collins and Julie Roche, Agriculture Western Australia 19. Cross seedimg suppresses annual ryegrass and increases wheat yield, Abul Hashem, Dave Nicholson and Nerys Wilkins Agriculture Western Australia 20. Weed control by chaff burial, Mike Collins, Agriculture Western Australia HERBICIDE RESISTANCE 21. Resistance in wild oats to Fop and Dim herbicides in Western Australia, Abul Hashem and Harmohinder Dhammu, Agriculture Western Australia 22. Triazine and diflufenican resistance in wild radish: what it means to the lupin industry, Aik Cheam, Siew Lee, David Nicholson and Peter Newman, Agriculture Western Australia 23. Comparison if in situ v seed testing for determining herbicide resistance, Bill Roy, Agricultural Consulting and Research Services Pty Ltd, York HERBICIDE TOLERANCE 24. Phenoxy herbicide tolerance of wheat, Peter Newman and Dave Nicholson, Agriculture Western Australia 25. Tolerance of wheat to phenoxy herbicides, Harmohinder S. Dhammu, Terry Piper and Mario F. D\u27Antuono, Agriculture Western Australia 26. Herbicide tolerance of new wheats, Harmohinder S. Dhammu, Terry Piper and David F. Nicholson, Agriculture Western Australia 27. Herbicide tolerance of durum wheats, Harmohinder S. Dhammu, Terry Piper and David F. Nicholson, Agriculture Western Australia 28. Herbicide tolerance of new field pea varieties, Harmohinder S. Dhammu, Terry Piper, David F. Nicholson, and Mario F. D\u27Antuono, Agriculture Western Australia 29. Herbicide tolerance of Cooke field peas on marginal soil, Harmohinder S. Dhammu, Terry Piper, David F. Nicholson, and Mario F. D\u27Antuono, Agriculture Western Australia 30. Herbicide tolerance of some annual pasture legumes adapted to coarse textured sandy soils, Clinton Revell and Ian Rose, Agriculture Western Australia 31 Herbicide tolerance of some annual pasture legumes adapted to fine textured clay soils, Clinton Revell and Ian Rose, Agriculture Western Australia WEED CONTROL IN LUCERNE 32. Management of weeds for Lucerne establishment, Diana Fedorenko, Clayton Butterly, Stuart McAlpine, Terry Piper and David Bowran, Centre for Cropping Systems, Agriculture Western Australia 33. Management of weeds in the second year of Lucerne, Diana Fedorenko, Clayton Butterly, Stuart McAlpine, Terry Piper and David Bowran, Centre for Cropping Systems, Agriculture Western Australia 34. Residual effects of weed management in the third year of Lucerne, Diana Fedorenko, Clayton Butterly, Stuart McAlpine, Terry Piper and David Bowran, Centre for Cropping Systems, Agriculture Western Australia 35. Herbicide tolerance and weed control in Lucerne, Peter Newman, Dave Nicholson and Keith Devenish Agriculture Western Australia HERBICIDES – NEW PRODUCTS/PRODUCE USES; USE New products or product use 36. New herbicide options for canola, John Moore and Paul Matson, Agriculture Western Australia 37. Chemical broadleaf weed management in Peaola, Shannon Barraclough and Lionel Martin, Muresk Institute of Agriculture, Curtin University of Technology 38. Balance® - a new broad leaf herbicide for the chickpea industry, Mike Clarke, Jonas Hodgson and Lawrence Price, Aventis CropScience 39. Marshmallow – robust herbicide strategies, Craig Brown, IAMA Agribusiness 40. Affinity DF – a prospective option for selective in-crop marshmallow control, Gordon Cumming, Technical Officer, Crop Care Australasia 41. A new formulation of Carfentrazone-ethyl for pre-seeding knockdown control of broadleaved weeds including Marshmallow, Gordon Cumming, Technical Officer, Crop Care Australasia Herbicide use 42. Autumn applied trifluralin can be effective! Bill Crabtree, Scientific Officer, Western Australian No-Tillage Farmers Association 43. Which knockdown herbicide for small ryegrass? Peter Newman and Dave Nicholson, Agriculture Western Australia 44. Poor radish control with Group D herbicides in lupins, Peter Newman and Dave Nicholson, Agriculture Western Australia WEED ISSUES 45. Distribution and incidence of aphids and barley yellow dwarf virus in over-summering grasses in the WA wheatbelt, Jenny Hawkes and Roger Jones, CLIMA and Agriculture Western Australia 46. e-weed, Vanessa Stewart, Agriculture Western Australia CONTRIBUTING AUTHOR CONTACT DETAIL