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Contribution of homoplasy and of ancestral polymorphism to the evolution of genes in anthropoid primates.

Molecular phylogenies of lineages that split from one another in short succession are often difficult to resolve because different loci and different sites within the same locus yield incongruent relationships. The incongruity is commonly attributed to two causes: differential assortment of ancestral polymorphisms and homoplasy. To assess the relative contribution of these two causes, sequences of 57 segments from 51 loci in six primate lineages (human, chimpanzee, gorilla, orangutan, macaque, and tamarin, abbreviated as H, C, G, O, M, and T, respectively) were subjected to "partitioning" analysis, in which phylogenetically informative sites were identified in all 15 pairwise comparisons of each of the 57 segments and tallied for their support or lack thereof for each of the theoretically possible phylogenies. The six lineages include one of the best known cases of a difficult-to-resolve phylogeny: the trichotomy (H, C, G), in which the three lineages may have diverged from each other within a short period of time. In this period many of the ancestral polymorphisms apparently persisted and yielded phylogenetically incongruent signals. By contrast, no ancestral polymorphism is expected to have survived during the interval separating the divergences of the O, M, and T lineages from the ancestor of the (H, C, G) group. Any phylogenetic incompatibilities at sites in the O, M, and T lineages relative to the (H, C, G) group are therefore presumably the result of homoplasy. The frequency of homoplasy estimated in this manner is unexpectedly high: 12% for the (H, C, G) clade and 19% for the (H, C, G, O) clade. At least three-quarters of the 48% incompatibility observed in the (H, C) clade is attributable to the sorting out of ancestral polymorphisms coupled with intragenic recombination. Possible reasons for this high level of homoplasy in the O, M, and T lineages are discussed, and a computer simulation has been carried out to produce a model explaining the observed data.

Animals↗

Modelling of safety measure effects and risk compensation.

A model is proposed for the description of effects of safety measures introduced into a road transport system. The model explains the motives of road users' risk compensation towards the measures, and indicates when behavioural adaptation is likely to take place and its effects on road safety programmes. At its core the model has the notion that when a transport system is changed by engineering safety measures, road users do not respond only in the direction towards safety improvement but respond, in general, with three possible ways of behavioural adaptations, one of them towards more risk taking. Supported by illustrative examples, it also suggests that due to risk compensation, engineering safety measures alone are usually not sufficient, and, hopefully, carefully designed motivational safety measures can give us chances to modify road users' behaviour to make traffic safer.

Accidents, Traffic↗

A test of an expanded theory of reasoned action to predict mammography participation.

This paper presents the results of a prospective study testing an expanded theory of reasoned action (TRA) to predict mammography participation. A questionnaire was developed to measure each of the expanded TRA model components. A sample was identified of 946 women age 40 and above who were invited to obtain a mammogram at the Group Health Cooperative of Puget Sound Breast Cancer Screening Program (BCSP). The sample was stratified by risk category as determined by the screening program. The study questionnaire was administered to all women in the sample within 2 weeks after they were sent the invitation to obtain a mammogram. Mammography participation was obtained from the BCSP data base 6 months after the invitation. Regression analyses found attitude, affect, subjective norm, and facilitating conditions to all be significantly associated with participation. The expanded TRA model explained 39% of the variance in women's intentions and 20% of the variance in participation behavior. A stepwise hierarchical regression found that no other psychosocial measures were able to improve the model predictions of behavior. An interaction between habit and intention was found such that women with larger numbers of previous mammograms were less likely to carry out their intentions than women with fewer previous mammograms. Contrary to expectations, some demographic characteristics did significantly improve prediction. The need for further work investigating the roles of fear and experience is discussed.

Adult↗

Removal of congo red using activated carbon and its regeneration.

Activated carbon is used for the removal of colored toxic congo red dye. The effects of different operating conditions like, initial dye concentration, contact time, pH and temperature are studied for adsorption of congo red by a known amount of activated carbon (1.0g/L) under stirred batch condition. The zero point of charge of the activated carbon is found about 6.6. About 90% dye is removed for initial concentration of 50 and 100mg/L, it is about 80% at pH 7.0. Maximum adsorption (about 100%) of dye is observed at pH 2.0 for the concentration range studied here. Freundlich isotherm is found to fit the equilibrium data more adequately. Pseudo second order kinetic model explain successfully the kinetic data. The surfactant enhanced carbon regeneration (SECR) technique using both cationic and anionic surfactants is adopted for the regeneration of spent carbon by desorbing the dye. A kinetic model for dye desorption from the commercial activated carbon (CAC) is also proposed. Anionic surfactants show better performance than the cationic ones. Efficiency of dye desorption using surfactants is also compared with the desorption using pH change.

Adsorption↗

Real-time ozone mapping using a regression-interpolation hybrid approach, applied to Tucson, Arizona.

Real-time ozone (O3) maps, intended for public access and mass media, are generated from spatially interpolating (i.e., kriging) sparse monitoring data and are typically characterized by over-smoothed surfaces that inadequately represent local-scale spatial patterns (e.g., averaged over 1 km2). In this paper, a hybrid regression-interpolation methodology is developed to enhance the representation of local-scale spatiotemporal patterns with an application to Tucson, Arizona. The mapping of local patterns is enhanced with pre-interpolation regression modeling of local-scale deviation-from-mean variability, preserving variation in the monitor data that is ubiquitous across the modeling domain (i.e., the areal mean). The model is trained on several years of deviation-from-mean hourly O3 data, and predictor variables are developed using theoretically and empirically derived proxy regression variables. The regression model explains a significant proportion of the variation in the data (r2 = 0.54), with an average error of 7.1 ppb. When augmented with the areal mean, the r2 of the pre-interpolation model increases to 0.847. Model residuals are then spatially interpolated to the extents of the modeling domain. Final concentration estimate maps are the summation of areal mean, regression, and spatially interpolated surfaces, preserving absolute values at monitor locations.

Air Pollutants↗

Staining kinetics in single cells. Part II. Diffusion processes inside the cell.

Applying hydrodynamic conditions, which certify a negligible influence of convective diffusion, the time-dependent uptake of thionin in lymphocytes, monkey kidney cells, and their separated nuclei was measured spectroscopically. Using fixed cell material the dye transport inside the cell is not hindered due to plasma membrane and cytoplasm. The staining rate depends on the dye concentration, the pretreatment of the cell, and on the electrolyte concentration of the dye solution. The mechanism of dye migration inside the cell is in accordance with a porous matrix model. The diffusion process takes place inside the pores and channels filled with liquid and is modified by adsorption of dye molecules on the walls of the pores. A dynamic reversible equilibrium exists between migrating dye molecules and the binding sites on the pore walls described by the Freundlich adsorption isotherm. The proposed model explains the observed order of reaction of the staining kinetics.

Animals↗

Personal and behavioral predictors of automobile crash and injury severity.

The purpose of this paper is to develop a statistical model explaining the relationships between certain driver characteristics and behaviors, crash severity, and injury severity. Applying techniques of categorical data analysis to comprehensive data on crashes in Hawaii during 1990, we build a structural model relating driver characteristics and behaviors to type of crash and injury severity. The structural model helps to clarify the role of driver characteristics and behaviors in the causal sequence leading to more severe injuries. From the model we estimate the effects of various factors in terms of odds multipliers--that is, how much does each factor increase or decrease the odds of more severe crash types and injuries. We found that driver behaviors of alcohol or drug use and lack of seat belt use greatly increase the odds of more severe crashes and injuries. Driver errors are found to have a small effect, while personal characteristics of age and sex are generally insignificant. We conclude with a discussion of our modeling approach and of the implications of our findings for appropriate traffic safety interventions and future research.

Accidents, Traffic↗

Serum sex hormone-binding globulin, cardiovascular risk factors, and adrenal cortisol responses to dexamethasone and corticotropin.

Basal cortisol levels and cortisol responses to dexamethasone (DXM) and corticotropin were studied in relation to serum levels of sex hormone-binding globulin (SHBG), testosterone (T), free T, estradiol (E2), insulin-like growth factor I (IGF-I), high-density lipoprotein cholesterol (HDLC), triglycerides (TG), and insulin in 30 men. SHBG was positively correlated to age (P < .01), HDLC (P < .05), and total T (P < .05) and negatively correlated to TG (P < .02) and insulin (P < .001). SHBG was inversely related to corticosteroid-binding globulin (P < .05), but was not significantly associated with IGF-I. Free T was positively related to TG (P < .05), insulin (P < .01), total T (P < .001), and basal (P < .01) and free cortisol (P < .05). Corticotropin-stimulated cortisol responses were negatively associated with SHBG (P < .001) and positively associated with insulin (P < .01). Multiple linear regression analyses with SHBG as the dependent variable indicated that cortisol response alone explained 34.0% and together with age 46.2% of the variation of SHBG levels. Only insulin and age, but not cortisol response, remained significant predictors of SHBG concentrations when entered simultaneously into the mathematical model; this model explained 55.1% of the variation of SHBG levels. Thus, in addition to insulin and age, cortisol reserves and secretion seem to have significant associations with serum SHBG and free T concentrations.

Adrenal Cortex↗

On the role of glypicans in the process of morphogen gradient formation.

Glypicans are cell surface molecules that influence signaling and gradient formation of secreted morphogens and growth factors. Several distinct functions have been ascribed to glypicans including acting as co-receptors for signaling proteins. Recent data show that glypicans are also necessary for morphogen propagation in the tissue. In the present study, a model describing the interaction of a morphogen with glypicans is formulated, analyzed and compared with measurements of the effect of glypican Dally-like (Dlp) overexpression on Wingless (Wg) morphogen signaling in Drosophila melanogaster wing imaginal discs. The model explains the opposing effect that Dlp overexpression has on Wg signaling in the distal and proximal regions of the disc and makes a number of quantitative predictions for further experiments. In particular, our model suggests that Dlp acts by allowing Wg to diffuse on cell surface while protecting it from loss and degradation, and that Dlp rather than acting as Wg co-receptor competes with receptors for morphogen binding.

Animals↗

Astroparticle physics and cosmology.

Astroparticle physics is an interdisciplinary field that explores the connections between the physics of elementary particles and the large-scale properties of the universe. Particle physicists have developed a standard model to describe the properties of matter in the quantum world. This model explains the bewildering array of particles in terms of constructs made from two or three quarks. Quarks, leptons, and three of the fundamental forces of physics are the main components of this standard model. Cosmologists have also developed a standard model to describe the bulk properties of the universe. In this new framework, ordinary matter, such as stars and galaxies, makes up only around 4% of the material universe. The bulk of the universe is dark matter (roughly 23%) and dark energy (about 73%). This dark energy drives an acceleration that means that the expanding universe will grow ever larger. String theory, in which the universe has several invisible dimensions, might offer an opportunity to unite the quantum description of the particle world with the gravitational properties of the large-scale universe.

Astronomical Phenomena↗

Linking the laminar circuits of visual cortex to visual perception: development, grouping, and attention.

How do the laminar circuits of visual cortical areas V1 and V2 implement context-sensitive binding processes such as perceptual grouping and attention, and how do these circuits develop and learn in a stable way? Recent neural models clarify how preattentive and attentive perceptual mechanisms are intimately linked within the laminar circuits of visual cortex, notably how bottom-up, top-down, and horizontal cortical connections interact within the cortical layers. These laminar circuits allow the responses of visual cortical neurons to be influenced, not only by the stimuli within their classical receptive fields, but also by stimuli in the extra-classical surround. Such context-sensitive visual processing can greatly enhance the analysis of visual scenes, especially those containing targets that are low contrast, partially occluded, or crowded by distractors. Attentional enhancement can selectively propagate along groupings of both real and illusory contours, thereby showing how attention can selectively enhance object representations. Recent models explain how attention may have a stronger facilitatory effect on low contrast than on high contrast stimuli, and how pop-out from orientation contrast may occur. The specific functional roles which the model proposes for the cortical layers allow several testable neurophysiological predictions to be made. Model mechanisms clarify how intracortical and intercortical feedback help to stabilize cortical development and learning. Although feedback plays a key role, fast feedforward processing is possible in response to unambiguous information. Model circuits are capable of synchronizing quickly, but context-sensitive persistence of previous events can influence how synchrony develops.

Animals↗

A basic mathematical model of the immune response.

Interaction of the immune system with a target population of, e.g., bacteria, viruses, antigens, or tumor cells must be considered as a dynamic process. We describe this process by a system of two ordinary differential equations. Although the model is strongly idealized it demonstrates how the combination of a few proposed nonlinear interaction rules between the immune system and its targets are able to generate a considerable variety of different kinds of immune responses, many of which are observed both experimentally and clinically. In particular, solutions of the model equations correspond to states described by immunologists as "virgin state," "immune state" and "state of tolerance." The model successfully replicates the so-called primary and secondary response. Moreover, it predicts the existence of a threshold level for the amount of pathogen germs or of transplanted tumor cells below which the host is able to eliminate the infectious organism or to reject the tumor graft. We also find a long time coexistence of targets and immune competent cells including damped and undamped oscillations of both. Plausibly the model explains that if the number of transformed cells or pathogens exeeds definable values (poor antigenicity, high reproduction rate) the immune system fails to keep the disease under control. On the other hand, the model predicts apparently paradoxical situations including an increased chance of target survival despite enhanced immune activity or therapeutically achieved target reduction. A further obviously paradoxical behavior consists of a positive effect for the patient up to a complete cure by adding an additional target challenge where the benefit of the additional targets depends strongly on the time point and on their amount. Under periodically pulsed stimulation the model may show a chaotic time behavior of both target growth and immune response. (c) 1995 American Institute of Physics.

Journal Article↗

Validation of personal exposure models for sulfate and aerosol strong acidity.

Personal exposure models for sulfates (SO4 =) and aerosol strong acidity (H+) were previously developed using concentration and activity pattern data collected from a personal monitoring study conducted in Uniontown, Pennsylvania, during the summer of 1990. Models were constructed based on time-weighted micro-environmental exposures. For SO4 =, the "best-fit" model included a correction factor, while for H+, it included both a correction factor and a neutralization term. In this paper, we present the validation of these models using data collected in a personal monitoring study conducted in State College, Pennsylvania, during the summer of 1991. Indoor and outdoor concentration and activity pattern data collected in this study were used as inputs for the "best-fit" models for SO4 = and H+. Predicted personal exposures subsequently were compared to the measured personal exposures from State College to determine their accuracy and precision. Predicted personal exposures for both SO4 = and H+ were in excellent agreement with measured personal exposures from State College. The models explained 91 and 62 percent of the variability in personal SO4 = and H+ exposures, respectively, and were able to estimate personal exposures substantially better than outdoor concentrations alone. Validation results suggest that the models' correction and neutralization factors are not site specific and support the models' future application as a technique to assess the personal acid aerosol exposures of children living in similar rural and semi-rural communities.

Acids↗

Modeling of the spinal neuronal circuitry underlying locomotion in a lower vertebrate.

The neural circuitry generating lamprey undulatory swimming is among the most accessible and best known of the vertebrate neuronal locomotor systems. It therefore serves as an experimental model for such systems. Modeling and computer simulation of this system was initiated at a point when a significant part of the network had been identified, although much detail was still lacking. The model has been further developed over 10 years in close interaction with experiments. The local burst generating circuitry is formed by ipsilateral excitatory neurons and crossed reciprocal inhibitory neurons. Early models also incorporated an off-switch lateral interneuron (L), the connectivity of which suggested it could contribute to burst termination at moderate to high bursting frequencies. Later examination of this model suggested, however, that the L interneuron was not of primary importance for burst termination, and this was later verified experimentally. Further, early models explained the effects of 5-HT on bursting frequency, spike frequency, and burst duration as being due to its modulatory action on the spike frequency adaptation of lamprey premotor interneurons. In current network models, accumulated adaptation is in addition the main burst terminating factor. Drive-related modulation of adaptation is explored as a mechanism for control of burst duration. This produces an adequate burst frequency range and a constant burst proportion within each cycle. It further allows for hemisegmental bursting, which has been observed experimentally. The local burst generator forms the basis of a network model of the distributed pattern generator that extends along the spinal cord. Phase constancy and flexibility of intersegmental coordination has been studied in such a simulated network. Current modeling work focuses on neuromodulator circuitry and action, network responses to input transients, how to model the intact versus an isolated piece of spinal cord, as well as on improving an earlier neuromechanical model of lamprey swimming.

Animals↗

Passive ranging errors due to multipath distortion of deterministic transient signals with application to the localization of small arms fire.

A passive ranging technique based on wavefront curvature is used to estimate the ranges and bearings of impulsive sound sources represented by small arms fire. The discharge of a firearm results in the generation of a transient acoustic signal whose energy propagates radially outwards from the omnidirectional source. The radius of curvature of the spherical wavefront at any instant is equal to the instantaneous range from the source. The curvature of the acoustic wavefront is sensed with a three-microphone linear array by first estimating the differential time of arrival (or time delay) of the acoustic wavefront at each of the two adjacent sensor pairs and then processing the time-delay information to extract the range and bearing of the source. However, modeling the passive ranging performance of the wavefront curvature method for a deterministic transient signal source in a multipath environment shows that when the multipath and direct path arrivals are unresolvable, the time-delay estimates are biased which, in turn, biases the range estimates. The model explains the observed under-ranging of small arms firing positions during a field experiment.

Firearms↗

Mitochondria and apoptosis.

Apoptosis is a coordinated sequence of events culminating in the death of the cell. Many of these biochemical processes are regulated by the mitochondria, including the release of proapoptotic molecules in addition to the caspase-activating cofactor, cytochrome c. Pro- and antiapoptotic members of the Bcl-2 family regulate mitochondrial participation in cell death. Current models explaining cytochrome c release are discussed in light of mitochondrial structure and physiology.

Apoptosis↗

[Behavioral symptoms in preschool children at the time of school entrance from the perspective of parents--data regarding prevalence and risk factors in an epidemiological study].

Behavioral and emotional problems based on parents information from the Child Behavior Checklist (CBCL) were investigated in a large epidemiological sample of 4363 six year old pre-school children from the area of Heidelberg and Rhein-Neckar county. An overview about symptom frequencies of boys and girls is given, taking age specific evaluations into account. Considering symptoms and syndromes, externalizing and attention problems show high prevalence, especially for boys. Family problems are the most important predictors of child global symptomatology, explaining about 10% of variance of the CBCL total score. Other factors like gender, chronical illness, adverse living conditions, family constellation or amount of TV consumption prove as additional independent predictors. An overall model explains about 20% of variance of child symptomatology. Results are discussed from the view of normal child development, developmental psychopathology, changing norms and altered socio-cultural conditions.

Affective Symptoms↗

[A mathematical model of the development of dental caries].

A mathematical model is suggested, simulating the development of carious process in a tooth, based on an analytical approach. The process of hydrogen ions diffusion into enamel microspaces is described via transport equation. A simplified model explaining the formation of the involvement of the body of the tooth under the enamel surface at the initial stages of caries development is described in detail. Analysis has shown that the theoretical model is in good correlation with experimental data on the rate of chemical reaction of Ca radionuclide accumulation in the enamel surface and deeper layers.

Dental Caries↗