Social desirability and self-reported driving behaviours: Should we be worried?

Original article can be found at: http://www.sciencedirect.com/science/journal/13698478 Copyright Elsevier Ltd.There is widespread use of self-report measures of driving behaviour in the traffic psychology literature, despite the frequent criticism that such measures are subject to social desirability bias. However, no research has yet investigated the more recently developed measures of driving anxiety and avoidance behaviour for socially desirable responding. Furthermore, relatively little research has investigated the issue of socially desirable responding on self-reported driver behaviour in general, and that which does exist has several shortcomings. The present study used a repeated measures design to assess the effect of social desirability on a measure of driving avoidance, the Driving and Riding Avoidance Scale (DRAS), and the Driver Behaviour Questionnaire (DBQ). A sample of 228 undergraduate students completed the DRAS, DBQ and a measure of socially desirable responding in class, which constituted a public place, and then again 2 months later in the privacy of their homes. None of the DBQ items were significantly different across the two locations. However, two of the DRAS general avoidance items were higher in the public setting, perhaps demonstrating the effect of socially desirable responding on driving avoidance due to environmental or practical concern. Nevertheless, overall it appears as though the DRAS and DBQ are not particularly vulnerable to socially desirable responding, although further well-designed research on the effects of such bias on these and other self-report measures of driving behaviour should be undertaken.Peer reviewe

High-performance simulation and simulation methodologies

types: Editorial CommentThe realization of high performance simulation necessitates sophisticated simulation experimentation and optimization; this often requires non-trivial amounts of computing power. Distributed computing techniques and systems found in areas such as High Performance Computing (HPC), High Throughput Computing (HTC), e-infrastructures, grid and cloud computing can provide the required computing capacity for the execution of large and complex simulations. This extends the long tradition of adopting advances in distributed computing in simulation as evidenced by contributions from the parallel and distributed simulation community. There has arguably been a recent acceleration of innovation in distributed computing tools and techniques. This special issue presents the opportunity to showcase recent research that is assimilating these new advances in simulation. This special issue brings together a contemporary collection of work showcasing original research in the advancement of simulation theory and practice with distributed computing. This special issue has two parts. The first part (published in the preceding issue of the journal) included seven studies in high performance simulation that support applications including the study of epidemics, social networks, urban mobility and real-time embedded and cyber-physical systems. This second part focuses on original research in high performance simulation that supports a range of methods including DEVS, Petri nets and DES. Of the four papers for this issue, the manuscript by Bergero, et al. (2013), which was submitted, reviewed and accepted for the special issue, was published in an earlier issue of SIMULATION as the author requested early publication.Research Councils U

Application and support for high-performance simulation

types: Editorial CommentHigh performance simulation that supports sophisticated simulation experimentation and optimization can require non-trivial amounts of computing power. Advanced distributed computing techniques and systems found in areas such as High Performance Computing (HPC), High Throughput Computing (HTC), grid computing, cloud computing and e-Infrastructures are needed to provide effectively the computing power needed for the high performance simulation of large and complex models. In simulation there has been a long tradition of translating and adopting advances in distributed computing as shown by contributions from the parallel and distributed simulation community. This special issue brings together a contemporary collection of work showcasing original research in the advancement of simulation theory and practice with distributed computing. This special issue is divided into two parts. This first part focuses on research pertaining to high performance simulation that support a range of applications including the study of epidemics, social networks, urban mobility and real-time embedded and cyber-physical systems. Compared to other simulation techniques agent-based modeling and simulation is relatively new; however, it is increasingly being used to study large-scale problems. Agent-based simulations present challenges for high performance simulation as they can be complex and computationally demanding, and it is therefore not surprising that this special issue includes several articles on the high performance simulation of such systems.Research Councils U

Addressing prescription discrepancies in renal patients: a prospective audit

Background Management of chronic renal failure requires complex medication regimens to manage hypertension, hyperlipidaemia, diabetes, phosphate, anaemia and acidosis. Patient engagement in medicine management is essential to avoid potential harm. Methods We prospectively audited the rate of discrepancies between our hospital record of patient medications and their current prescription. We investigated whether changes to appointment letters reduced the number of discrepancies. Results The proportion of patients attending renal outpatient clinics failing to bring a list or unable to recall their medications fell over a 3-year period following changes to appointment letters (median proportion: 0.45 in 2014, 0.36 in 2015, 0.30 in 2016, Chi-sq = 46.94, p < 0.001); percentage of patients forgetting to bring a list with significant prescription discrepancies fell from 10.9% in 2014 to 3.9% in 2016). Conclusion Changes to appointment letters can potentially improve prescribing safety in an outpatient setting

What's 'cool' in the world of green façades? How plant choice influences the cooling properties of green walls

Green walls provide an option for reducing the thermal load on buildings, reducing the requirement for mechanised air conditioning and helping to mitigate urban heat islands. The range and extent of benefits can vary with green wall typology. This research investigated green façades utilising wall shrubs and climbing plants to reduce air temperature adjacent to, and surface temperatures of, brick walls. Artificial wall sections were used to provide replicated data sets in both outdoor and controlled environmental conditions. During periods of high solar irradiance outdoors, the presence of live Prunus laurocerasus plants placed against walls significantly reduced air and surface temperatures compared to blank walls, but also in comparison to excised (non-transpiring) plant sections. Largest temperature differentials were recorded mid-late afternoon, where air adjacent to vegetated walls was 3°C cooler than non-vegetated walls. Prunus also provided significant wall cooling in controlled environment studies, but was intermediate in its surface cooling capacity (6.3°C) compared to other species; Stachys and Hedera providing >7.0°C cooling. When evaluated on a per leaf area basis, however, other species demonstrated greater cooling potential with Fuchsia, Jasminum and Lonicera out-performing others. Not only was it evident that different species varied in their cooling capacity, but that the mechanisms for providing wall cooling varied between species. Fuchsia promoted evapo-transpiration cooling, whereas shade cooling was more important in Jasminum and Lonicera. Plant physiology and leaf area/morphology should be considered when selecting species to maximise cooling in green wall applications. © 2013 Elsevier Ltd

Occurrence and possible role of endophytic fungi associated with seed pods of Colophospermum mopane (Fabaceae) in Botswana

AbstractEndophytic fungi were isolated from different aged surface sterilised pods of Colophospermum mopane and succession patterns were investigated. Lignocellulolytic enzyme assays as well as histological and fine structural studies were used to investigate if succession was related to different lignocellulolytic abilities of the fungi. Representatives of the common genera (Alternaria, Phoma and Phomopsis) were qualitatively tested for lignocellulolytic enzyme activity. Samples of endophyte infected and uninfected pod pericarps were fixed and sectioned for light microscopy and TEM. Samples were also viewed with SEM. A fungal succession was evident as pods aged, and detached from the tree. Strains of all three genera demonstrated lignocellulolytic abilities. Microscopy studies suggested that Phoma was only capable of utilising moderately lignified mesophyll cells whereas Phomopsis and Alternaria could degrade heavily lignified fibres. This could explain the pattern of succession observed: Phoma colonised younger pods where more unlignified resources were available, whereas Phomopsis and Alternaria colonised older pods, thus making use of the remaining lignified resources. Changes in endophyte abundance and diversity are related to the age and degree of decay of the pods, and determined by the lignocellulolytic abilities of the fungi. The potential role of these endophytes is discussed

Chitinase and Fizz family members are a generalized feature of nematode infection with selective Upregulation of Ym1 and F10.1 by antigen-presenting cells

Ym1 and Fizz1 are secreted proteins that have been identified in a variety of Th2-mediated inflammatory settings. We originally found Ym1 and Fizz1 as highly expressed macrophage genes in a Brugia malayi infection model. Here, we show that their expression is a generalized feature of nematode infection and that they are induced at the site of infection with both the tissue nematode Litomosoides sigmodontis and the gastrointestinal nematode Nippostrongylus brasiliensis. At the sites of infection with N. brasiliensis, we also observed induction of other chitinase and Fizz family members (ChaFFs): acidic mammalian chitinase (AMCase) and Fizz2. The high expression of both Ym1 and AMCase in the lungs of infected mice suggests that abundant chitinase production is an important feature of Th2 immune responses in the lung. In addition to expression of ChaFFs in the tissues, Ym1 and Fizz1 expression was observed in the lymph nodes. Expression both in vitro and in vivo was restricted to antigen-presenting cells, with the highest expression in B cells and macrophages. ChaFFs may therefore be important effector or wound-repair molecules at the site of nematode infection, with potential regulatory roles for Ym1 and Fizz1 in the draining lymph nodes

Demographic profile of 266 mother-infant dyads presenting to a multidisciplinary breast-feeding clinic: a descriptive study

Worldwide, sustained breastfeeding rates are lower than optimal. Mothers and infants with suboptimal breastfeeding present to a wide variety of practitioners to assist their goal of total breastfeeding. To support these mother-infant dyads, a multi-disciplinary chiropractic and midwifery feeding clinic was opened alongside a chiropractic teaching clinic in England. To improve understanding of the presentation and clinical needs of these nursing dyads, a descriptive study was developed. This paper provides an overview of the cases that presented to this clinic over nine months, with a focus on feeding difficulties, birth and musculoskeletal problems in the infant. Mothers frequently reported more than one type of feeding problem, which most commonly included difficulty attaching, painful feeding, and a one sided feeding preference. Birth intervention was more common in this population than the national averages, particularly forceps deliveries. Musculoskeletal problems were prevalent in the babies presented to the feeding clinic, most commonly of the thoracic spine, cervical spine and sternocleidomastoid. Although causation cannot be established from this type of study, intervention at birth, feeding difficulties and musculoskeletal problems frequently coexisted in these infants. Therefore, including musculoskeletal care for infants as part of support for suboptimal breastfeeding may be appropriate

On the prediction of topology and local properties for optimal trussed structures

A new formulation is presented for mathematical modelling to predict the distribution of material, material properties, and topology for the optimal design of trussed structures. The design problem is cast in a form to minimize a measure of generalized compliance , which is calculated as a sum over the structure of weighted displacement. Member stiffnesses appear as design variables and, starting with a given ground structure, the solution predicts the optimal layout and distribution of stiffness. The isoperimetric constraint in the reformulated problem measures total cost in generalized form , based on independently specified unit relative cost factors for each truss element. One or another form of optimal design is generated via a process where designated elements in the unit relative cost field are adjusted systematically at each cycle. The generalized cost feature provides as well for the introduction of certain technical constraints into the design problem, e.g. the facility to design around obstacles. Results for each cycle of an algorithm for computational treatment are identified as the solution to a properly posed optimization problem. Computational procedures are demonstrated by the prediction of optimal designs for a variety of truss problems in 2D.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/46074/1/158_2005_Article_BF01197558.pd

Inter-study reproducibility of arterial spin labelling magnetic resonance imaging for measurement of renal perfusion in healthy volunteers at 3 Tesla

Background: Measurement of renal perfusion is a crucial part of measuring kidney function. Arterial spin labelling magnetic resonance imaging (ASL MRI) is a non-invasive method of measuring renal perfusion using magnetised blood as endogenous contrast. We studied the reproducibility of ASL MRI in normal volunteers.&lt;p&gt;&lt;/p&gt; Methods: ASL MRI was performed in healthy volunteers on 2 occasions using a 3.0 Tesla MRI scanner with flow-sensitive alternating inversion recovery (FAIR) perfusion preparation with a steady state free precession (True-FISP) pulse sequence. Kidney volume was measured from the scanned images. Routine serum and urine biochemistry were measured prior to MRI scanning.&lt;p&gt;&lt;/p&gt; Results: 12 volunteers were recruited yielding 24 kidneys, with a mean participant age of 44.1 ± 14.6 years, blood pressure of 136/82 mmHg and chronic kidney disease epidemiology formula estimated glomerular filtration rate (CKD EPI eGFR) of 98.3 ± 15.1 ml/min/1.73 m2. Mean kidney volumes measured using the ellipsoid formula and voxel count method were 123.5 ± 25.5 cm3, and 156.7 ± 28.9 cm3 respectively. Mean kidney perfusion was 229 ± 41 ml/min/100 g and mean cortical perfusion was 327 ± 63 ml/min/100 g, with no significant differences between ASL MRIs. Mean absolute kidney perfusion calculated from kidney volume measured during the scan was 373 ± 71 ml/min. Bland Altman plots were constructed of the cortical and whole kidney perfusion measurements made at ASL MRIs 1 and 2. These showed good agreement between measurements, with a random distribution of means plotted against differences observed. The intra class correlation for cortical perfusion was 0.85, whilst the within subject coefficient of variance was 9.2%. The intra class correlation for whole kidney perfusion was 0.86, whilst the within subject coefficient of variance was 7.1%.&lt;p&gt;&lt;/p&gt; Conclusions: ASL MRI at 3.0 Tesla provides a repeatable method of measuring renal perfusion in healthy subjects without the need for administration of exogenous compounds. We have established normal values for renal perfusion using ASL MRI in a cohort of healthy volunteers.&lt;p&gt;&lt;/p&gt