Selected psychosocial models and correlates of individual health-related behaviors.
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The northern acorn barnacle Semibalans banlanoides occupies several intertidal microhabitats which vary greatly in their degree of physical stress. This environmental heterogeneity creates distinct selection regimes which can maintain genetic variation in natural populations. Despite considerable attention placed on the link between spatial variation in fitness and balancing selection at specific loci, experimental manipulations and fitness estimates for molecular polymorphisms have rarely been conducted in the wild. The aim of this transplant experiment was to manipulate the level of physical stress experienced by a cohort of barnacles in the field and then investigate the spatial variation in fitness for genotypes at three loci: two candidate allozymes and the mitochondrial DNA control region. The viability of mannose-6-phosphate isomerase (Mpi) genotypes was dependent on the level of physical stress experienced in the various treatments; alternative homozygotes were favoured in alternative high stress-low stress environments. In contrast, the fitness of genotypes at other loci was equivalent among treatments and unaffected by the manipulation. Evaluated in the light of balancing selection models, these data indicate that the presence of multiple environmental niches is sufficient to promote a stable Mpi polymorphism in barnacle populations and that allelic variation at this locus reflects the process of adaptation to the heterogeneous intertidal landscape.
The effects of metabolic inhibitors, pH, and temperature on the kinetics of sucrose uptake protoplasts isolated from developing soybean Glycine max L. cv Wye cotyledons were studied. Structural requirements for substrate recognition by the sucrose carrier were examined by observing the effects of potential alternate substrates for the saturable component on sucrose uptake.Uptake by the three components (saturable, sulfhydryl reagent-sensitive nonsaturable, and diffusive) was calculated over a range of sucrose concentrations. The saturable component dominated uptake at external sucrose concentrations below 12 millimolar and was approximately equal to the nonsaturable and diffusive components at 44 and 22 millimolar external sucrose, respectively. The three uptake components showed different temperature sensitivities.Increasing external pH decreased both the linear component and the V(max) calculated for the saturable component. Conversely, increasing pH increased the calculated K(m) (sucrose) for the saturable component.Sucrose uptake by the saturable component was insensitive to several mono- and divalent cations. Competition for uptake of 0.5 millimolar sucrose by several sugars suggested that the beta-d-fructofuranoside bond and molecular size of sucrose were particularly important in sugar recognition by the saturable component carrier.
We propose a number of source models that are spatially distributed on a line for magnetoencephalography (MEG) using both a spherical head with radial sensors for more efficient computation and a realistic head model for more accurate results. We develop these models with increasing degrees of freedom, derive forward solutions, maximum-likelihood (ML) estimates, and Cramér-Rao bound (CRB) expressions for the unknown source parameters. A model selection method is applied to select the most appropriate model. We also present numerical examples to compare the performances and computational costs of the different models, to determine the regions where better estimates are possible and when it is possible to distinguish between line and focal sources. We demonstrate the usefulness of the proposed line-source models over the previously available focal source model in certain distributed source cases. Finally, we apply our methods to real MEG data, the N2O response after electric stimulation of the median nerve known to be an extended source.
Existing Takagi-Sugeno-Kang (TSK) fuzzy models proposed in the literature attempt to optimize the global learning accuracy as well as to maintain the interpretability of the local models. Most of the proposed methods suffer from the use of offline learning algorithms to globally optimize this multi-criteria problem. Despite the ability to reach an optimal solution in terms of accuracy and interpretability, these offline methods are not suitably applicable to learning in adaptive or incremental systems. Furthermore, most of the learning methods in TSK-model are susceptible to the limitation of the curse-of-dimensionality. This paper attempts to study the criteria in the design of TSK-models. They are: 1) the interpretability of the local model; 2) the global accuracy; and 3) the system dimensionality issues. A generic framework is proposed to handle the different scenarios in this design problem. The framework is termed the generic fuzzy input Takagi-Sugeno-Kang fuzzy framework (FITSK). The FITSK framework is extensible to both the zero-order and the first-order FITSK models. A zero-order FITSK model is suitable for the learning of adaptive system, and the bias-variance of the system can be easily controlled through the degree of localization. On the other hand, a first-order FITSK model is able to achieve higher learning accuracy for nonlinear system estimation. A localized version of recursive least-squares algorithm is proposed for the parameter tuning of the first-order FITSK model. The local recursive least-squares is able to achieve a balance between interpretability and learning accuracy of a system, and possesses greater immunity to the curse-of-dimensionality. The learning algorithms for the FITSK models are online, and are readily applicable to adaptive system with fast convergence speed. Finally, a proposed guideline is discussed to handle the model selection of different FITSK models to tackle the multi-criteria design problem of applying the TSK-model. Extensive simulations were conducted using the proposed FITSK models and their learning algorithms; their performances are encouraging when benchmarked against other popular fuzzy systems.
A simple selection model (fitness 1, w, w2 for AA, Aa, aa) is employed to change the gene frequency of one population to another. The genetic distance is then defined as d = -log w between the two populations. The distance is symmetrical with respect to the two populations. It is additive: d13 = d12 + d23. The sampling variance of d takes a very simple form. The possible difficulties of using genetic distance in studying evolutionary history have been briefly discussed. The writer means no offence to those who have developed or used the various measures of genetic distance.
1. 8-Hydroxy-2-(di-n-propylamino)tetralin (8-OH-DPAT) dose-dependently induced hypothermia in mice. 2. The 5-HT1A receptor partial agonists, buspirone, gepirone and ipsapirone, also dose-dependently induced hypothermia. 3. The 8-OH-DPAT temperature response was antagonized by the 5-HT1 receptor antagonists quipazine (2 mg kg-1, i.p.), (+/-)-propranolol (10 mg kg-1, i.p.). (+/-)-pindolol (5 mg kg-1, i.p.), spiroxatrine (0.5 mg kg-1, i.p.) and metitepine (0.05 mg kg-1, i.p.), but not by 5-HT2 (ketanserin) or 5-HT3 (MDL 72222, GR 38032F) receptor antagonists. 4. The response was also antagonized by the dopamine D2 receptor antagonists, haloperidol and BRL 34778. No other catecholamine or muscarinic receptors were involved in mediating the response. 5. Destruction of 5-hydroxytryptamine (5-HT)-containing neurones with the neurotoxin, 5,7-dihydroxytryptamine (75 micrograms, i.c.v.), abolished the response to 8-OH-DPAT indicating that the 5-HT1A receptors involved were located on 5-HT neurones. 6. Chronic antidepressant treatment down-regulated this 8-OH-DPAT response. In addition, chronic administration of anxiolytics and neuroleptics was also effective in this respect. Down-regulation was also observed following repeated administration of 8-OH-DPAT (0.5 mg kg-1, s.c.), (+/-)-pindolol (10 mg kg-1, i.p.) and ketanserin (0.5 mg kg-1, i.p.). 7. In conclusion, these data confirm that 8-OH-DPAT-induced hypothermia is mediated by 5-HT1A autoreceptors. They also indicate that the response involves D2 receptors.The present study also shows that a wide range of antidepressant drugs down-regulate this response although this property is not restricted to antidepressant treatments. Therefore, care should be exercised when interpreting data from this paradigm.
An absorbed dose calculation comparison has been computed for radiolabeled tumor associated antibodies distributed over a standard geometry and tumor location. Half-life data, maximum specific activities, and relative organ doses of nine radionuclides, Cu-67, Br-77, Br-82, Y-90, Tc-99m, In-111, I-131, Re-186, and At-211, have been compiled in which the radionuclides were assumed to be coupled with antibody. These nuclides were chosen on the basis of physical characteristics that warranted their inclusion as either imaging or therapy radiolabels. Radionuclide biodistribution data based on current available estimates for antibody uptake and clearance in humans has been adopted. Re-186 and Y-90 have been determined to be among the best therapy radiolabels since they possess sufficiently long half lives necessary for tumor localization, little or no gamma radiation, intermediate beta energy, stable daughter products, and have a reasonable chance to form a stable chelate with an antibody system.
An in vitro assay for the interaction of SecB, a molecular chaperone from Escherichia coli, with polypeptide ligands was established based on the ability of SecB to block the refolding of denatured maltose-binding protein. Competition experiments show that SecB binds selectively to nonnative proteins with high affinity and without specificity for a particular sequence of amino acids. It is proposed that selectivity in binding is due to a kinetic partitioning of polypeptides between folding and association with SecB.
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Seven fetal human brain and three fetal human leptomeningeal cultures were characterized according to cell morphology, ultrastructural features, antigen expression, and collagen biosynthesis capabilities. Primary cultures derived from mechanically and enzymatically dissociated samples of fetal human brain consisted of a heterogeneous cell population in which astrocytes, oligodendrocytes, neurons, mesenchymal (leptomeningeal) cells, and macrophages were identified by light and electron microscopy. With progressive subcultivation, a homogeneous, leptomeningeal cell-derived population predominated. Fetal human brain and leptomeningeal specimens embedded in paraffin were analyzed immunohistochemically for the distribution of glial fibrillary acidic protein (GFAP), vimentin, factor-VIII-related antigen, fibronectin, laminin, type IV collagen, and procollagen III. Only GFAP and vimentin identified astrocytes and radial glia in the developing human brain; fibronectin, laminin, and the collagen types were immunolocalized largely to the leptomeninges and to the cerebral vasculature. The percentage of cells positively identified by antiserum to GFAP was greatest in primary cultures of fetal human brain; by the fourth passage, none of the fetal brain cultures were GFAP positive. The progressive decrease in the percentage of GFAP-positive cells was accompanied by an increase in the percentage of cells identified by collagen immunomarkers. Furthermore, in double immunolabeling experiments, antibodies to GFAP recognized a population of cells that was not identified by antibodies to laminin, fibronectin, type IV collagen, or procollagen III. SDS-PAGE and DEAE-cellulose chromatography of [3H]-proline-labeled early-passage fetal human brain cultures revealed collagen profiles identical to those obtained from direct cultures of the leptomeninges. The characteristics of later-passage fetal human brain cultures were identical in all respects to those of the fetal human leptomeningeal cultures. The proliferation of leptomeningeal cells could be inhibited by exposing the cells to cis-hydroxyproline (200 micrograms/ml). Primary fetal human brain cultures similarly treated with the proline analogue were found to be highly enriched for glial cells; these cultures were more than 90% GFAP positive. We conclude that primary fetal human brain cultures consist of a heterogeneous population of cells, most of which under the present culture conditions can be identified as glial cells. Subcultivation of human fetal brain cultures results in the overgrowth of mesenchymal cells, which are presumably derived from the leptomeninges.(ABSTRACT TRUNCATED AT 400 WORDS)
There is substantial evidence that some form of balancing selection is important for loci in the HLA region. Two classic studies found a large deficiency of homozygotes for these loci. Four possible proposed selective explanations were proposed: (1) heterozygous advantage; (2) linked lethal; (3) maternal-fetal interaction, and (4) resistance to infectious disease. These hypotheses as well as another explanation, different male and female gametic frequencies, have been examined here to try and evaluate their potential impact on genotypic frequencies. For any of these selective mechanisms to alone account for the observed homozygous deficiency, selection and/or others factors would have to be extremely strong. The linked lethal selection model and the hypothesis based on different male and female gametic frequencies appear to be unlikely explanations for these observations. Other factors that may influence genotypic frequencies are also discussed.
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Dose-dependent curves of the inhibitory beta 1-adrenergic reaction of the chick embryo amnion were analyzed on the basis of different mathematical models. Selection of the optimal model, closest to the experimental data, allows us to obtain the reaction parameters with the smallest statistical error. Two main characteristics of the physiological reaction, EC50 and Pm, sufficed for the description of the action of agonists nonselective for beta 1-adrenoreceptors: adrenaline (EC50 0.19 +/- 0.02 microM, Pm 101.3 +/- 1.9%) and salbutamol (EC50 0.58 +/- 0.01 microM, Pm 42.7 +/- 0.3%). The Hill coefficient n in these experiments was close to 1 (1.06 +/- 0.14; 0.96 +/- 0.02). It was necessary to introduce fractional values 1 < n < 2 to describe the effects of noradrenaline and isopropyl noradrenaline.