The influence of high contrast acuity and normalised low contrast acuity upon self-reported situation avoidance and driving crashes

The aim of this study was to determine the cues used to signal avoidance of difficult driving situations and to test the hypothesis that drivers with relatively poor high contrast visual acuity (HCVA) have fewer crashes than drivers with relatively poor normalised low contrast visual acuity (NLCVA). This is because those with poorer HCVA are well aware of their difficulties and avoid dangerous driving situations while those poorer NLCVA are often unaware of the extent of their problem. Age, self-reported situation avoidance and HCVA were collected during a practice based study of 690 drivers. Screening was also carried out on 7254 drivers at various venues, mainly motorway sites, throughout the UK. Age, self-reported situation avoidance and prior crash involvement were recorded and Titmus vision screeners were used to measure HCVA and NLCVA. Situation avoidance increased in reduced visibility conditions and was influenced by age and HCVA. Only half of the drivers used visual cues to signal situation avoidance and most of these drivers used high rather than low contrast cues. A statistical model designed to remove confounding interrelationships between variables showed, for drivers that did not report situation avoidance, that crash involvement decreased for drivers with below average HCVA and increased for those with below average NLCVA. These relationships accounted for less than 1% of the crash variance, so the hypothesis was not strongly supported. © 2002 The College of Optometrists.

Testing for financial crashes using the Log Periodic Power Law model

Many papers claim that a Log Periodic Power Law (LPPL) model fitted to financial market bubbles that precede large market falls or 'crashes', contains parameters that are confined within certain ranges. Further, it is claimed that the underlying model is based on influence percolation and a martingale condition. This paper examines these claims and their validity for capturing large price falls in the Hang Seng stock market index over the period 1970 to 2008. The fitted LPPLs have parameter values within the ranges specified post hoc by Johansen and Sornette (2001) for only seven of these 11 crashes. Interestingly, the LPPL fit could have predicted the substantial fall in the Hang Seng index during the recent global downturn. Overall, the mechanism posited as underlying the LPPL model does not do so, and the data used to support the fit of the LPPL model to bubbles does so only partially. © 2013.

A comparison between static and kinetic visual attention as a means of detecting age-related deterioration of the visual system and driving performance

A critical review of previous research revealed that visual attention tests, such as the Useful Field of View (UFOV) test, provided the best means of detecting age-related changes to the visual system that could potentially increase crash risk. However, the question was raised as to whether the UFOV, which was regarded as a static visual attention test, could be improved by inclusion of kinetic targets that more closely represent the driving task. A computer program was written to provide more information about the derivation of UFOV test scores. Although this investigation succeeded in providing new information, some of the commercially protected UFOV test procedures still remain unknown. Two kinetic visual attention tests (DRTS1 and 2), developed at Aston University to investigate inclusion of kinetic targets in visual attention tests, were introduced. The UFOV was found to be more repeatable than either of the kinetic visual attention tests and learning effects or age did not influence these findings. Determinants of static and kinetic visual attention were explored. Increasing target eccentricity led to reduced performance on the UFOV and DRTS1 tests. The DRTS2 was not affected by eccentricity but this may have been due to the style of presentation of its targets. This might also have explained why only the DRTS2 showed laterality effects (i.e. better performance to targets presented on the left hand side of the road). Radial location, explored using the UFOV test, showed that subjects responded best to targets positioned to the horizontal meridian. Distraction had opposite effects on static and kinetic visual attention. While UFOV test performance declined with distraction, DRTS1 performance increased. Previous research had shown that this striking difference was to be expected. Whereas the detection of static targets is attenuated in the presence of distracting stimuli, distracting stimuli that move in a structured flow field enhances the detection of moving targets. Subjects reacted more slowly to kinetic compared to static targets, longitudinal motion compared to angular motion and to increased self-motion. However, the effects of longitudinal motion, angular motion, self-motion and even target eccentricity were caused by target edge speed variations arising because of optic flow field effects. The UFOV test was more able to detect age-related changes to the visual system than were either of the kinetic visual attention tests. The driving samples investigated were too limited to draw firm conclusions. Nevertheless, the results presented showed that neither the DRTS2 nor the UFOV tests were powerful tools for the identification of drivers prone to crashes or poor driving performance.

Preeclampsia : an accelerator–brake defect disorder

Life's perfect partnership starts with the placenta. If we get this right, we have the best chance of healthy life. In preeclampsia, we have a failing placenta. Preeclampsia kills one pregnant woman every minute and the life expectancy of those who survive is greatly reduced. Preeclampsia is treated roughly the same way it was when Thomas Edison was making the first silent movie. Globally, millions of women risk death to give birth each year and almost 300,000 lose their lives in this process. Over half a million babies around the world die each year as a consequence of preeclampsia. Despite decades of research, we lack pharmacological agents to treat it. Maternal endothelial dysfunction is a central phenomenon responsible for the clinical signs of preeclampsia. In the late nineties, we discovered that vascular endothelial growth factor (VEGF) stimulated nitric oxide release. This led us to suggest that preeclampsia arises due to the loss of VEGF activity, possibly due to a rise in soluble Flt-1 (sFlt-1), the natural antagonist of VEGF. Researchers have shown that high sFlt-1 elicits preeclampsia-like signs in pregnant rats and sFlt-1 increases before the clinical signs of preeclampsia in pregnant women. We demonstrated that removing or reducing this culprit protein from preeclamptic placenta restored the angiogenic balance. Heme oxygenase-1 (HO-1 or Hmox1) that generates carbon monoxide (CO), biliverdin (rapidly converted to bilirubin) and iron is cytoprotective. We showed that the Hmox1/CO pathway prevents human placental injury caused by pro-inflammatory cytokines and suppresses sFlt-1 and soluble endoglin release, factors responsible for preeclampsia phenotypes. The other key enzyme we identified is the hydrogen sulfide generating cystathionine-gamma-lyase (CSE or Cth). These are the only two enzyme systems shown to suppress sFlt-1 and to act as protective pathways against preeclampsia phenotypes in animal models. We also showed that when hydrogen sulfide restores placental vasculature, it also improves lagging fetal growth. These molecules act as the inhibitor systems in pregnancy and when they fail, this triggers preeclampsia. Discovering that statins induce these enzymes led us to an RCT to develop a low-cost therapy (StAmP Trial) to prevent or treat preeclampsia. If you think of pregnancy as a car then preeclampsia is an accelerator–brake defect disorder. Inflammation, oxidative stress and an imbalance in the angiogenic milieu fuel the ‘accelerator’. It is the failure in the braking systems (the endogenous protective pathway) that results in the ‘accelerator’ going out of control until the system crashes, manifesting itself as preeclampsia.