Simulated self-motion alters perceived time to collision

Many authors have assumed that motor actions required for collision avoidance and for collision achievement (for example, in driving a car or hitting a ball) are guided by monitoring the time to collision (TTC), and that this is done on the basis of moment-to-moment values of the optical variable tau [1] [2] [3]. This assumption has also motivated the search for single neurons that fire when tau is a certain value [4] [5] [6] [7] [8]. Almost all of the laboratory studies and all the animal experiments were restricted to the case of stationary observer and moving object. On the face of it, this would seem reasonable. Even though humans and other animals routinely perform visually guided actions that require the TTC of an approaching object to be estimated while the observer is moving, tau provides an accurate estimate of TTC regardless of whether the approach is produced by self-motion, object-motion or a combination of both. One might therefore expect that judgements of TTC would be independent of self-motion. We report here, however, that simulated selfmotion using a peripheral flow field substantially altered estimates of TTC for an approaching object, even though the peripheral flow field did not affect the value of tau for the approaching object. This finding points to long range interactions between collision-sensitive visual neurons and neural mechanisms for processing self-motion.     

Effects of lutein and cholesterol on alkyl chain bending in lipid bilayers: a pulse electron spin resonance spin labeling study.

A short pulse saturation recovery electron spin resonance technique has been used to study the effects of polar carotenoid-lutein and cholesterol on interactions of 14N:15N stearic acid spin-label pairs in fluid-phase phosphatidylcholine (PC) membranes. Bimolecular collisions for pairs consisting of various combinations of [14N]-16-, [14N]-10-, [14N]-7-, or [14N]-5-doxylstearate and [15N]-16-doxylstearate in dimyristoyl-PC (DMPC) or egg yolk PC (EYPC) membranes were measured at 27 degrees C. In the absence and presence of lutein or cholesterol for both lipid systems, the collision rates were ordered as 16:5 < 16:7 < 16:10 < 16:16. For all spin-label pairs studied, interaction frequencies were greater in DMPC than in EYPC. Polar carotenoid-lutein reduces the collision frequency for all spin-label pairs, whereas cholesterol reduces the collision frequency for 16:5 and 16:7 pairs and increases the collision frequency in the membrane center for 16:10 and 16:16 pairs. The presence of unsaturated alkyl chains greatly reduces the effect of lutein but magnifies the effect of cholesterol in the membrane center. The observed differences in the effects of these modifiers on alkyl chain bending result from differences in the structure of cholesterol and polar carotenoid and from their different localization within the lipid bilayer membrane. These studies further confirm the occurrence of vertical fluctuations of alkyl chain ends toward the bilayer surface.     

Estimating Bat and Bird Mortality Occurring at Wind Energy Turbines from Covariates and Carcass Searches Using Mixture Models

Environmental impacts of wind energy facilities increasingly cause concern, a central issue being bats and birds killed by rotor blades. Two approaches have been employed to assess collision rates: carcass searches and surveys of animals prone to collisions. Carcass searches can provide an estimate for the actual number of animals being killed but they offer little information on the relation between collision rates and, for example, weather parameters due to the time of death not being precisely known. In contrast, a density index of animals exposed to collision is sufficient to analyse the parameters influencing the collision rate. However, quantification of the collision rate from animal density indices (e.g. acoustic bat activity or bird migration traffic rates) remains difficult. We combine carcass search data with animal density indices in a mixture model to investigate collision rates. In a simulation study we show that the collision rates estimated by our model were at least as precise as conventional estimates based solely on carcass search data. Furthermore, if certain conditions are met, the model can be used to predict the collision rate from density indices alone, without data from carcass searches. This can reduce the time and effort required to estimate collision rates. We applied the model to bat carcass search data obtained at 30 wind turbines in 15 wind facilities in Germany. We used acoustic bat activity and wind speed as predictors for the collision rate. The model estimates correlated well with conventional estimators. Our model can be used to predict the average collision rate. It enables an analysis of the effect of parameters such as rotor diameter or turbine type on the collision rate. The model can also be used in turbine-specific curtailment algorithms that predict the collision rate and reduce this rate with a minimal loss of energy production.     

Animal reactions to oncoming vehicles: a conceptual review

Animal–vehicle collisions (AVCs) are a substantial problem in a human‐dominated world, but little is known about what goes wrong, from the animal's perspective, when a collision occurs with an automobile, boat, or aircraft. Our goal is to provide insight into reactions of animals to oncoming vehicles when collisions might be imminent. Avoiding a collision requires successful vehicle detection, threat assessment, and evasive behaviour; failures can occur at any of these stages. Vehicle detection seems fairly straightforward in many cases, but depends critically on the sensory capabilities of a given species. Sensory mechanisms for detection of collisions (looming detectors) may be overwhelmed by vehicle speed. Distractions are a likely problem in vehicle detection, but have not been clearly demonstrated in any system beyond human pedestrians. Many animals likely perceive moving vehicles as non‐threatening, and may generally be habituated to their presence. Slow or minimal threat assessment is thus a likely failure point in many AVCs, but this is not uniformly evident. Animals generally initiate evasive behaviour when a collision appears imminent, usually employing some aspect of native antipredator behaviour. Across taxa, animals exhibit a variety of behaviours when confronted with oncoming vehicles. Among marine mammals, right whales Eubalaena spp., manatees Trichechus spp., and dugongs Dugong dugon are fairly unresponsive to approaching vehicles, suggesting a problem in threat assessment. Others, such as dolphins Delphinidae, assess vehicle approach at distance. Little work has been conducted on the behavioural aspects of AVCs involving large mammals and automobiles, despite their prevalence. Available observations suggest that birds do not usually treat flying aircraft as a major threat, often allowing close approach before taking evasive action, as they might in response to natural predators. Inappropriate antipredator behaviour (often involving immobility) is a major source of AVCs in amphibians and terrestrial reptiles. Much behavioural work on AVCs remains to be done across a wide variety of taxa. Such work should provide broad phylogenetic generalizations regarding AVCs and insights into managing AVCs.     

Large-scale model-based assessment of deer-vehicle collision risk

Ungulates, in particular the Central European roe deer Capreolus capreolus and the North American white-tailed deer Odocoileus virginianus, are economically and ecologically important. The two species are risk factors for deer-vehicle collisions and as browsers of palatable trees have implications for forest regeneration. However, no large-scale management systems for ungulates have been implemented, mainly because of the high efforts and costs associated with attempts to estimate population sizes of free-living ungulates living in a complex landscape. Attempts to directly estimate population sizes of deer are problematic owing to poor data quality and lack of spatial representation on larger scales. We used data on >74,000 deer-vehicle collisions observed in 2006 and 2009 in Bavaria, Germany, to model the local risk of deer-vehicle collisions and to investigate the relationship between deer-vehicle collisions and both environmental conditions and browsing intensities. An innovative modelling approach for the number of deer-vehicle collisions, which allows nonlinear environment-deer relationships and assessment of spatial heterogeneity, was the basis for estimating the local risk of collisions for specific road types on the scale of Bavarian municipalities. Based on this risk model, we propose a new "deer-vehicle collision index" for deer management. We show that the risk of deer-vehicle collisions is positively correlated to browsing intensity and to harvest numbers. Overall, our results demonstrate that the number of deer-vehicle collisions can be predicted with high precision on the scale of municipalities. In the densely populated and intensively used landscapes of Central Europe and North America, a model-based risk assessment for deer-vehicle collisions provides a cost-efficient instrument for deer management on the landscape scale. The measures derived from our model provide valuable information for planning road protection and defining hunting quota. Open-source software implementing the model can be used to transfer our modelling approach to wildlife-vehicle collisions elsewhere.     

A simple framework for a complex problem? Predicting wildlife–vehicle collisions

Collisions of vehicles with wildlife kill and injure animals and are also a risk to vehicle occupants, but preventing these collisions is challenging. Surveys to identify problem areas are expensive and logistically difficult. Computer modeling has identified correlates of collisions, yet these can be difficult for managers to interpret in a way that will help them reduce collision risk. We introduce a novel method to predict collision risk by modeling hazard (presence and movement of vehicles) and exposure (animal presence) across geographic space. To estimate the hazard, we predict relative traffic volume and speed along road segments across southeastern Australia using regression models based on human demographic variables. We model exposure by predicting suitable habitat for our case study species (Eastern Grey Kangaroo Macropus giganteus) based on existing fauna survey records and geographic and climatic variables. Records of reported kangaroo–vehicle collisions are used to investigate how these factors collectively contribute to collision risk. The species occurrence (exposure) model generated plausible predictions across the study area, reducing the null deviance by 30.4%. The vehicle (hazard) models explained 54.7% variance in the traffic volume data and 58.7% in the traffic speed data. Using these as predictors of collision risk explained 23.7% of the deviance in incidence of collisions. Discrimination ability of the model was good when predicting to an independent dataset. The research demonstrates that collision risks can be modeled across geographic space with a conceptual analytical framework using existing sources of data, reducing the need for expensive or time‐consuming field data collection. The framework is novel because it disentangles natural and anthropogenic effects on the likelihood of wildlife–vehicle collisions by representing hazard and exposure with separate, tunable submodels.     

Phytoalexin resveratrol attenuates the mutagenicity of the heterocyclic amines 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine and 2-amino-3,8-dimethylimidazo[4,5-f]quinoxaline

Resveratrol is a phytoalexin, that belongs to a family of naturally occurring stilbenes. It has been reported that resveratrol can inhibit chemical carcinogenesis in experimental animals and although the mechanisms involved are unknown, an anti-mutagen mechanism has been proposed. We have explored this hypothesis using mutagenicity assays based on bacterial (Salmonella typhimurium) and eukaryotic cells (Chinese hamster V79 cells). We found resveratrol to be potent in both systems, blocking the mutagenicity of the food-derived heterocyclic amines (HA) 2-amino-3,8-dimethylimidazo[4,5-f]quinoxaline (MeIQx) and 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP) at micromolar concentrations. Furthermore, in cells capable of activating 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine to cytotoxic derivatives, resveratrol was able to attenuate cytotoxicity. Paradoxically, in cells lacking the ability to activate PhIP, resveratrol itself was toxic and co-incubation with PhIP reduced this toxicity. Our data confirm the potent anti-mutagenic activity of resveratrol and support its potential as a chemopreventative.     

Selective inhibition and kinetics of enzymatic reactions leading to irreversible binding of benzo[a]pyrene to microsomal macromolecules of mouse lung

Two enzymatic reactions, catalyzed by mouse lung microsomes and distinguishable by selective inhibition and kinetic studies, lead to irreversible binding of benzo[a]pyrene to macromolecules present in vitro reaction systems. One type (low Km) is inducible in the lungs of mice by treatment with benz[a]anthracene and is subject to inhibition by 7,8-benzoflavone. The other type (high Km) is predominant in lungs of untreated mice, but a small amount of low-Km activity is also present. The high-Km activity may be involved in carcinogenesis by benzo[a]pyrene, for it is inhibited by butylated hydroxytoluene, retinol or disulfiram, each of which is reported to have anticarcinogenic activity in intact animals.     

The influence of group size and social interactions on collision risk with obstacles

In the UK there has been dramatic growth in the number of proposed wind farms, and the impact on wildlife of this expansion is largely unknown. Avian collisions with wind turbines have received wide attention but reliable predictions remain elusive. Existing predictive models consider behavioural factors such as group movement only implicitly and require accurate site-specific data to produce predictions, making them difficult to translate between locations. Here we introduce an individual-based modelling approach to describe group interactions with obstacles that incorporates aspects of collective motion to simulate and quantify likely avoidance behaviour. We quantify the effect of group size on the probability of an individual colliding with a fixed obstacle, and investigate the roles of both navigational efficiency and group cohesion. We show that, over a wide range of model assumptions and parameterisations, social interactions have a significant and potentially large effect on collision risk; in contrast to previous models, collision risk is typically a non-linear function of group size. These results show that emergent behaviour induced by social interactions can have important effects on the metrics used to inform management and policy decisions.     

Estimation and Analysis of Cucumber (Cucumis sativus L.) Leaf Cellular Heat Sensitivity

Triphenyl tetrazolium chloride (TTC) reduction by cucumber (Cucumis sativus L. cv Poinsett 76 and cv Ashley) leaf discs was used as a viability assay to examine the effect of temperature pretreatment on the tissue response to acute hyperthermia. Semi-logarithmic plots of TTC reduction as a function of incubation time at different temperatures from 40 to 60[deg]C resembled the heat survival curves of animal cells. Heat inactivation rates were obtained and subjected to "quasi" Arrhenius analyses by analytical methods derived from the animal studies. The Arrhenius plots of TTC reduction rates for cv Ashley leaf discs preincubated at 25 or 37[deg]C and for cv Poinsett 76 preincubated at 37[deg]C were linear with the same activation energy (Ea) of about 80 kcal mol-1. The Arrhenius plot of cv Poinsett 76 preincubated at 25[deg]C was nonlinear with an Ea of about 80 kcal mol-1 at temperatures below 46[deg]C and an Ea of about 27.5 kcal mol-1 at temperatures above 47[deg]C. The significance of these differences is discussed in terms of the role of protein denaturation in the thermal sensitivity of cucumber disc reduction of TTC and the applicability of these methods to the analysis of plant cellular heat sensitivity.     

Physical mechanisms of cell damage in microcarrier cell culture bioreactors

The negative effects of excessive agitation on tissue cells in microcarrier culture have often been ascribed to "shear." Analysis of the fluid mechanics occurring suggests that there are actually three potential damage mechanisms: collisions of a cell-covered microcarrier with other beads, collisions with parts of the reactor (primarily the impeller), and interaction with turbulent eddies the size of the microcarrier beads. Review of the available quantitative information on agitation effects in cell cultures does not establish which mechanism is predominant; the range of experimental variables reported emphasizes power input over the other reactor and impeller parameters. The bead-bead collision model is tentatively supported by the available data, but the other mechanisms may still be significant in some systems. The formation of bead aggregates by cellular bridging provides a parallel means of damaging cells. Breaking of these bridges by any of the three means identified earlier can cause cell destruction and/or the net transfer of cells to formerly bare beads. High concentrations of bridges are favored by lower agitation rates, presumably because the bridges are not as quickly destroyed after formation.     

Mapping of collision frequencies for stearic acid spin labels by saturation-recovery electron paramagnetic resonance.

Short pulse saturation-recovery electron paramagnetic resonance methods have been used to measure interactions of 14N:15N stearic acid spin label pairs in multilamellar liposomal dispersions composed of dimyristoyl-phosphatidylcholine (DMPC) and dielaidoylphosphatidylcholine (DEPC). Pairs consisting of various combinations of [14N]-16-, [14N]-12- or [14N]-5-doxylstearate, and [15N]-16-, [15N]-12-, or [15N]-5-doxylstearate were studied. SR experiments were performed at 27 degrees and 37 degrees C, and recovery signals were analyzed for initial conditions and multiexponential time constants by computer fitting using a damped least-squares approach. The time constants contain combinations of the electron spin lattice relaxation time, Tle, for each member of the spin-label pair, and the Heisenberg exchange rate constant, Kx. Spin-lattice relaxation times for each of the 14N and 15N stearic acid spin labels were determined, and it is noted that Tle for a given 15N-SASL was always slightly greater than that of the corresponding 14N-SASL. From Kx the bimolecular collision frequency was calculated, providing a detailed picture of molecular interactions. For both lipid systems the bimolecular collision rates were ordered as 12:5 less than 16:5 less than 5:5 less than 16:12 less than 12:12 less than 16:16. For all spin-label pairs studied, interaction frequencies were greater in DMPC than in DEPC. For the 16:16, 12:12, and 16:12 pairs, Kx was approximately 30% greater in DMPC than in DEPC, a significantly greater difference than is observed by conventional EPR methods.(ABSTRACT TRUNCATED AT 250 WORDS)     

三核苷酸重复序列失稳定机制:重复序列形成non-B二级结构的必要性和细胞反式作用因子的作用

与三核苷酸重复序列CAG.CTG、CGG·CCG和GAA·TTC扩增和缺失有关的分子机制尚不能得到清楚的阐释.体外研究表明,上述疾病相关的重复序列可以在体外形成non-B二级结构,并介导重复序列扩增.然而,迄今为止,类似的观察尚未在体内研究过程中得以实现.利用模型生物大肠杆菌和酵母等进行的有关研究并不能模拟三核苷酸重复序列的扩增,这暗示三核苷酸重复序列的体内扩增可能与重复序列形成non-B二级结构关联性并不大.尽管理论上较长的三核苷酸重复序列可以在复制和后复制过程中较易形成non-B DNA二级结构,但这样的二级结构倾向于导致重复序列出现"脆性",而不是扩增.事实上,患者所具有的三核苷酸重复序列扩增并非一定需要通过non-B二级结构的介导,这些重复序列的扩增是可以通过一种RNA转录诱导的局部DNA重复序列的复制和其后的DNA重排得以发生.     

Evaluation of redox indicators and the use of digital scanners and spectrophotometer for quantification of microbial growth in microplates

The growth indicators 2,3,5-triphenyltetrazolium chloride (TTC), 2-[4-iodophenyl]-3-[4-dinitrophenyl]-5-phenyltetrazolium chloride (INT), 2,3-bis[2-methoxy-4-nitro-5-sulfophenyl]-2H-tetrazolium-5-carboxanilide inner salt (XTT), 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide (MTT), and resazurin were tested for their ability to indicate bacterial growth/growth inhibition. Two reading devices were evaluated and compared, a microplate spectrophotometer and a digital flatbed scanner. The bacteria used in the study were cultivated in 96-wells microplates and readings were made after 24 h. The scanned pictures were analysed with a software developed in-house to generate numerical values. It was found that resazurin was difficult to use since it shifts between three colours. MTT and TTC had a high correlation between the spectrophotometer data and the data from the scanned images. The reproducibility was similar for both reading devices. In no case was there a need to resuspend the pellets before reading. Both the XTT and INT showed lower correlations.It is concluded that bacterial growth/growth inhibition can be easily and reproducibly measured from microplate cultivations with a flatbed scanner or with a microplate spectrophotometer.     

The COP9 signalosome is essential for development of Drosophila melanogaster.

The COP9 signalosome (originally described as the COP9 complex) is an essential multi-subunit repressor of light-regulated development in plants [1] [2]. It has also been identified in mammals, though its role remains obscure [3] [4] [5]. This complex is similar to the regulatory lid of the proteasome and eIF3 [5] [9] [10] [11] [12] and several of its subunits are known to be involved in kinase signaling pathways [4] [6] [7] [8]. No proteins homologous to COP9 signalosome components were identified in the Saccharomyces cerevisiae genome, suggesting that the COP9 signalosome is specific for multi-cellular differentiation [13]. In order to reveal the developmental function of the COP9 signalosome in animals, we have isolated Drosophila melanogaster genes encoding eight subunits of the COP9 signalosome, and have shown by co-immunoprecipitation and gel-filtration analysis that these proteins are components of the Drosophila COP9 signalosome. Yeast two-hybrid assays indicated that several of these proteins interact, some through the PCI domain. Disruption of one of the subunits by either a P-element insertion or deletion of the gene caused lethality at the late larval or pupal stages. This lethality is probably a result of numerous pleiotropic effects. Our results indicate that the COP9 signalosome is conserved in invertebrates and that it has an essential role in animal development.     

Detection of triplet repeat expansion in the human genome by use of hybridization signal intensity

Triplet repeat disease is a group of hereditary neurodegenerative disorders caused by expansion of trinucleotide repeats such as CAG/CTG, CGG/CCG, and GAA/TTC. Direct detection of the expansion in the patient's genome shortcuts the tedious process needed for identification of disease genes by conventional approaches. Here we describe a method to detect triplet repeat expansion from the hybridization signal intensity. Using a digoxigenin-labeled (CTG)9 probe, the hybridization intensity and number of repeats showed a good linear correlation. The technique detected expansion in genomic DNA in all cases with moderate or large expansion. Even in the case of a small expansion, this method could detect the mutant fragment. The technique has advantages over related techniques because it is more sensitive and can be applied to cases where a small repeat expansion is involved.     

Remote techniques for counting and estimating the number of bird–wind turbine collisions at sea: a review

Since the early 1990s, marine wind farms have become a reality, with at least 13 000 offshore wind turbines currently proposed in European waters. There are public concerns that these man-made structures will have a significant negative impact on the many bird populations migrating and wintering at sea. We assess the degree of usefulness and the limitations of different remote technologies for studying bird behaviour in relation to bird–turbine collisions at offshore wind farms. Radar is one of the more powerful tools available to describe the movement of birds in three-dimensional space. Although radar cannot measure bird–turbine collisions directly, it offers the opportunity to quantify input data for collision models. Thermal Animal Detection System (TADS) is an infra red-based technology developed as a means of gathering highly specific information about actual collision rates, and also for parameterizing predictive collision models. TADS can provide information on avoidance behaviour of birds in close proximity to turbine rotor-blades, flock size and flight altitude. This review also assesses the potential of other (some as yet undeveloped) techniques for collecting information on bird flight and behaviour, both pre- and post-construction of the offshore wind farms. These include the use of ordinary video surveillance equipment, microphone systems, laser range finder, ceilometers and pressure sensors.