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Testing models of the oculomotor velocity-to-position transformation.

1. Do neural computations in premotor circuits mirror the physical properties of the systems they control? In 1987, Tweed and Vilis showed that oculomotor theories where a neural integrator converts eye angular velocity commands into position commands cannot be correct, because angular position is not the integral of angular velocity. Recently Schnabolk and Raphan proposed that an angular velocity integrator is nevertheless used to generate tonic commands in the oculomotor system. Here we test the Schnabolk-Raphan (S-R) model against Tweed and Vilis's quaternion (Q) model of the velocity to position transformation. 2. The S-R model predicts large (up to 7 degrees) transient (approximately 700 ms) deviations ("blips") in torsional eye position during attempted horizontal and vertical saccades. The Q model predicts no blips. Search coil recordings of saccades by 7 normal human subjects showed no large blips. 3. For approximately 200 saccades by each subject, we plotted the area under the torsional blip versus the product of saccade eccentricity and magnitude. According to the S-R model, this graph should form a straight line with slope 1.00. According to the Q model, the slope should be zero. Measured slopes averaged 0.016 (range -0.073 to 0.061) for saccade targets at 20 degrees eccentricity and 0.040 (range 0.004-0.076) for targets at 40 degrees. 4. No parameter change can significantly improve the S-R model, but lowering one parameter eradicates the tiny inaccuracy in the Q model. We show that the fundamental reason for the S-R model's failure is its use of a commutative controller to steer a noncommutative plant.

Attention↗

Selectivity and sparseness in the responses of striate complex cells.

Probability distributions of macaque complex cell responses to a large set of images were determined. Measures of selectivity were based on the overall shape of the response probability distribution, as quantified by either kurtosis or entropy. We call this non-parametric selectivity, in contrast to parametric selectivity, which measures tuning curve bandwidths. To examine how receptive field properties affected non-parametric selectivity, two models of complex cells were created. One was a standard Gabor energy model, and the other a slight variant constructed from a Gabor function and its Hilbert transform. Functionally, these models differed primarily in the size of their DC responses. The Hilbert model produced higher selectivities than the Gabor model, with the two models bracketing the data from above and below. Thus we see that tiny changes in the receptive field profiles can lead to major changes in selectivity. While selectivity looks at the response distribution of a single neuron across a set of stimuli, sparseness looks at the response distribution of a population of neurons to a single stimulus. In the model, we found that on average the sparseness of a population was equal to the selectivity of cells comprising that population, a property we call ergodicity. We raise the possibility that high sparseness is the result of distortions in the shape of response distributions caused by non-linear, information-losing transforms, unrelated to information theoretic issues of efficient coding.

Animals↗

[Energy transformation in mechanoreceptors].

The values of relative threshold deformations and of the mechanosensitivity coefficent are evaluated for some mechanoreceptors. The thermodynamical model of energy transformation in a primary act of mechanoreception is presented, the values of mechanical elastic energy stored in the membrane are calculated. The model of the mechanosensitive center as the ion-selective channel, changing dimensions of its protein part due to closing and opening of the channel is shown to give satisfactory values of the free energy change of the system at the threshold stimulus.

Animals↗

Alternative parameterization of polychotomous models: theory and application to matched case-control studies.

A method is proposed for transforming a class of models having an outcome variable with more than two levels into an equivalent binary model. The polychotomous logistic model is used to demonstrate the method. The equivalency to a simple logistic regression model after some data transformation (augmentation) is shown. The method is applied to the data from two case-control studies each with two control groups, and further applications are indicated.

Breast Neoplasms↗

[Alternative pathways of the initial transformation of 2,4,6-trinitrotoluene by yeasts].

A new model for the initial transformation of 2,4,6-trinitrotoluene (TNT) by facultatively anaerobic and aerobic yeasts is presented. The model is based on the data that Saccharomyces sp. ZS-A1 was able to reduce the nitrogroups of TNT with the formation of 2- and 4-hydroxyaminodinitrotoluenes (2-HADNT and 4-HADNT) as the major early TNT metabolites (the molar HADNT/TNT ratio reached 0.81), whereas aminodinitrotoluenes (ADNTs) and the hydride-Meisenheimer complex of TNT (H-TNT) were the minor products. Candida sp. AN-L13 almost completely transformed TNT into H-TNT through the reduction of the aromatic ring. Candida sp. AN-L14 transformed TNT through a combination of the two mechanisms described. Aeration stimulated the production of HADNT from TNT, whereas yeast incubation under stationary conditions promoted the formation of HADNT. The transformation of TNT into HADNT led to a tenfold increase in the acute toxicity of the TNT preparation with respect to Paramecium caudatum, whereas the increase in the toxicity was about twofold in the case of the alternative attack at the aromatic ring.

Aerobiosis↗

Neoplastic transformation of newborn rat oligodendrocytes in culture.

We have developed a model to study the neoplastic transformation of rat oligodendrocytes in culture. This procedure utilizes a technique previously developed by McCarthy and de Vellis which allows the preparation of 99% pure astrocyte and oligodendrocyte populations from 1- to 2-day-old rat cerebral cortices. Pregnant rats on the 19th day of gestation were given injections with either ethyl nitrosourea (10 micrograms/g body weight) in phosphate-buffered saline or phosphate-buffered saline, and oligodendrocyte cultures were prepared. Oligodendrocytes appear to be unstable in culture since transformation was observed with cells derived from either pups from pregnant rats either treated with nitrosourea or phosphate-buffered saline. Transformation required 78 to 108 days and 3 to 9 passages, at which time a marked increase in cellular proliferation was observed. The possibility that the transformed cells were derived from a nonoligodendroglial cell was excluded by the following evidence. Light and scanning electron micrographs of the transformed cells revealed cytological features essentially similar to those of primary oligodendroglial cultures. Furthermore, 2 biochemical oligodendroglial markers, the induction of lactate dehydrogenase by N6,O6-dibutyryl cyclic adenosine 3':5'-monophosphate and the presence of 2',3'-cyclic nucleotide 3' phosphohydrolase, were also retained. Conversely, another oligodendroglial marker, the hydrocortisone induction of glycerol phosphate dehydrogenase, was not found in any of the cell lines. These transformed cells grew as tumors when injected intracranially into 21-day-old rats. Histologically, these tumors did not appear as classical oligodendrogliomas, but their oligodendroglial origin was confirmed since the tumor tissue contained 2':3'-cyclic nucleotide 3'-phosphohydrolase activity, and the cells which grew from tumor explant cultures morphologically appeared similar to the parent cell line. The transformed cells were also characterized for in vitro properties which correlate with the expression of tumorigenicity. The transformed cells exhibited anchorage-independent growth and were agglutinated by concanavalin A treatment. Changes in fibrinolytic activity were not an exclusive property of transformed glial cells. This model should now allow us to study various mechanisms involved in the neoplastic transformation of oligodendrocytes.

Animals↗

Organogenesis and tissue regeneration of fallopian tube: a desired metaplastic transformation of mesodermal stem cells in live animal models (dogs).

The capacity of stem cells of peritonium of mesodermal origin to undergo metaplastic transformation and form different tissues developed from mesoderm germ layer is exploited with ulterior motive to use it in the management of human diseases. The excised fallopian tube was replaced with a tube on a stent constructed from autogenous peritoneum from a suitable donor site. The effect of the surroundings environment of the new tissue system to which the peritoneum stem cells are now exposed was studied for 3, 6 and 12 months period in live animal models. The gross and histological studies revealed development of all the component of the wall of the fallopian tube. The lumen of the constructed peritoneal tube was well preserved in its whole length including the anastomotic sites. The scientific rationale of the working hypothesis on which the work is based, is discussed.

Anastomosis, Surgical↗

Risk of neoplastic transformation from cellular DNA: calculations using the oncogene model.

Based on a number of assumptions about oncogene size, frequency, biological integrity, and in vitro as well as in vivo transformation efficiency, estimates are made of the risk that the residual cellular DNA (rcDNA) contaminant in a biological product will cause a neoplastic transformation event. Using a statistical Poisson distribution approach, the probability of such an event is calculated to be at most 10(-6) assuming optimal in vitro conditions with 100 oncogene copies per cell and a 10 pg contaminant. More realistic assumptions using in vivo data suggest that the probability of a transformation event is at most 10(-9) assuming 100 oncogene copies per cell and a contaminant of 1 ng. Imperfections of the model and specific considerations of the human in vivo case are discussed.

Animals↗

Parametric modeling of somatosensory evoked potentials using discrete cosine transform.

This paper introduces a parametric method for identifying the somatosensory evoked potentials (SEPs). The identification was carried out by using pole-zero modeling of the SEPs in the discrete cosine transform (DCT) domain. It was found that the DCT coefficients of a monophasic signal can be sufficiently approximated by a second-order transfer function with a conjugate pole pair. The averaged SEP signal was modeled by the sum of several second-order transfer functions with appropriate zeros and poles estimated using the least square method in the DCT domain. Results of the estimation demonstrated that the model output was in an excellent agreement with the raw SEPs both qualitatively and quantitatively. Comparing with the common autoregressive model with exogenous input modeling in the time domain, the DCT domain modeling achieves a high goodness of fitting with a very low model order. Applications of the proposed method are possible in clinical practice for feature extraction, noise cancellation and individual component decomposition of the SEPs as well as other evoked potentials.

Adolescent↗

Risk spreading as an adaptive strategy in iteroparous life histories.

It has long been conjectured, though without satisfactory proof, that life tables with a long reproductive span are advantageous in an environment where fecundity or immature survival rates fluctuate randomly. In the present analysis we recast the nonlinear Leslie matrix problem as an autoregressive time series model for the birth rate, with random addition and removal of newborn. This transformation renders the model linear with respect to the environmental variation, allowing ready solution for the ultimate population size and for the conditions resulting in stationarity of the population distribution. We show that for life tables where the fecundities of all adult age classes are the same (no restrictions are put on the survivorship schedule, or on the age at first reproduction), and where density dependence operates via total adult density, the realized growth rate is less than the growth rate calculated from the mean Leslie matrix associated with the population's growth history. The degree of the discrepancy increases with the environmental variability, and decreases with iteroparity, thus completing a proof which confirms the correctness of the initial conjecture for a class of biologically reasonable life-table models.

Birth Rate↗

[Crackle detection and classification based on matched wavelet transform].

In this paper, we present a method for crackle detection which is based on 'matched' wavelet transform. We first modeled crackles as a mathematical function. Then we designed a matched mother wavelet based on this model. Applying a soft-threshold to the results of the continuous wavelet transform to suppress noise further, we obtained the optimal scale Crackles were detected based on the envelope of the signal at optimal scale, and could be classified based on energy distribution with scale. The theory, methods and experimental results are given in detail.

Algorithms↗

Heterogeneity of EBV-transformable human B lymphocyte populations.

Although most human B cells express receptors for Epstein Barr virus (EBV), few (usually less than 1%) are readily transformed into B lymphoblastoid cell lines after exposure to EBV. Transformable cells previously have been found to be mostly resting B lymphocytes. We recently developed a limiting dilution culture system which permits the growth of EBV-transformed B lymphocytes with high efficiency. Because in this system up to over 30% of peripheral blood- or tonsil-derived B cells respond to EBV, we re-examined the properties of EBV-transformable cells. Frequencies of transformable lymphocytes were determined by Poisson analysis. EBV-susceptible B cells committed to IgM, IgG, or IgA secretion were found to occur in the range of 3 to 27, 0.1 to 6, and 0.1 to 5 per 100 B cells, respectively. Under our culture conditions, a major proportion of the IgM-committed cells derived from large lymphocytes which appeared to have entered the cell cycle. This population contains most of the EBV-responsive cells detected and, therefore, most of the additional cells responding in our culture system. In contrast, precursors of IgG- or IgA-producing lymphoblast lines were small cells with DNA contents typical for the G0/G1 phases of the cell cycle. Anti-immunoglobulin antibodies were used in panning experiments to separate B cell subpopulations which expressed different immunoglobulin isotypes on their surface. In limiting dilution cultures of these purified B lymphocytes subsets, it was found that virtually all precursors of IgM-producing cell lines expressed surface IgM (sIgM) before their infection and transformation by EBV. The "cloning efficiency" of positively selected, large sIgM+ cells approached 100%. In contrast, sIgG or sIgA were found only on cells committed to the production of IgG or IgA, respectively. The expression of sIgD was examined by using sequential panning procedures. Virtually all IgM-committed lymphocytes and a subset of cells committed to IgA secretion were found among the sIgD+ cells. The majority of cells committed to IgA production and all IgG-committed cells were found in the sIgD- B cell population. Our findings indicate that the EBV-susceptible B cell subset of normal lymphocytes is heterogeneous with respect to cell size, cell cycle, sIg determinants, and efficiency of transformation. On the basis of our findings and previous reports, we propose a model in which transformability is a B cell-inherent property. Factors unrelated to the virus but present in our culture system appear responsible for the enhanced vulnerability to viral transformation in some cells which entered into the cell cycle.(ABSTRACT TRUNCATED AT 400 WORDS)

Adult↗

Application of Bayesian inference to characterize risks associated with low doses of low-LET radiation.

Improved risk characterization for stochastic biological effects of low doses of low-LET radiation is important for protecting nuclear workers and the public from harm from radiation exposure. Here we present a Bayesian approach to characterize risks of stochastic effects from low doses of low-LET radiation. The stochastic effect considered is neoplastic transformation of cells because it relates closely to cancer induction. We have used a published model of neoplastic transformation called NEOTRANS1. It is based on two different classes of cellular sensitivity for asynchronous, exponentially growing populations (in vitro). One sensitivity class is the hypersensitive cell; the other is the resistant cell. NEOTRANS1 includes the effects of genomic damage accumulation, DNA repair during cell cycle arrest, and DNA misrepair (non-lethal repair errors). The model-associated differential equations are solved for conditions of in vitro irradiation at a fixed rate. Previously published solutions apply only to high dose rates and were incorrectly assumed to apply to only high-LET radiation. Solutions provided here apply to any fixed dose rate and to both high- and low-LET radiations. Markov chain Monte Carlo methods are used to carry out the Bayesian inference of the low-dose risk for neoplastic transformation of aneuploid C3H 10T1/2 cells for X-ray doses from 0 to 1000 mGy. We have assumed that for this low-dose range only the hypersensitive fraction of the cells are affected. Our results indicate that the initial slope of the risk vs dose relationship for neoplastic transformation is as follows: (1) directly proportional to the fraction, f1, of hypersensitive cells; (2) directly proportional to the radiosensitivity of the genomic target; and (3) inversely proportional to the rate at which hypersensitive cells with radiation-induced damage are committed to undergo correct repair of genomic damage. Further, our results indicate that very fast molecular events are associated with the commitment of cells to the correct repair pathway. Results also indicate a relatively large probability for misrepair that leads to genomic instability. Our results are consistent with the view that for very low doses, dose rate is not an important variable for characterizing low-LET radiation risks so long as age-related changes in sensitivity do not occur during irradiation.

Animals↗

Neuromuscular modulation in Aplysia. II. Modulation of the neuromuscular transform in behavior.

In this work we use mathematical modeling and complementary experiments to study the dynamics of modulation in the accessory radula closer (ARC) neuromuscular system of Aplysia. Here we join a dynamic model of the modulation from the preceding paper to a model of the basal neuromuscular transform (NMT). The resulting complete model of the NMT allows us to predict, test, and analyze the actual modulated contraction shapes in different types of feeding behavior, through entire quasi-realistic meals. The model reproduces a variety of published and new experimental observations. We find that components of the modulatory network act in interdependency and mutual complementarity, one or another playing a key role depending on the behavior and its past history. The history is remembered by slow dynamical components whose persistence prepares the system for future behavior of the same kind. The persistence becomes counterproductive, however, when the behavior suddenly changes. Superposition of fast dynamical components alleviates the problem under most, but not all, circumstances. In the quasi-realistic meals, the modulation improves functional performance on average, but degrades it after certain behavioral switches, when the model predicts sharp contraction transients. These are indeed seen in the real muscle. We propose that the real system does not switch the underlying motor neuron firing patterns abruptly, but relaxes them gradually, matching the relaxation of the peripheral modulatory state, through such behavioral transitions. We model food-induced arousal, a known phenomenon of this kind. The peripheral dynamics of the modulated NMT thus constrain the motor commands of the CNS.

Animals↗

The need for leadership.

This paper examined a number of leadership theories and established that Transformational Leadership is often cited as an appropriate leadership model for nursing. Evidence was put forward to suggest that Australian nurses possess many of the attributes considered as consistent with transformational leaders. However, in the future nurses may require leadership skills, such as technical and collaborative skills, beyond what they have at present since it is not know if the future leadership needs of nursing will be met with the transformational model. Suggestions are provided for the development and encouragement of future leaders. Those discussed are the learning organisation and professional practice models.

Australia↗

[Analysis of nuclear and mitochondrial genomes of transplastomic Salpiglossis sinuata plants obtained by transfer of transformed plastids from N. tabacum (+S. sinuata) cybrid].

New model system of plastid transformation has been proposed using a wild representative of Solanaceae family--S. sinuata. Earlier obtained cybrid plants N. tabacum (+ S. sinuata) were used for transformation experiments by PEG treatment of protoplasts with aadA gene that confers resistance to spectinomycin. Transformed S. sinuata plastome was transferred from N. tabacum (+ S. sinuata) cybrid to S. sinuata wild type plants by somatic hybridization. Molecular analysis of nuclear and mitochondrial DNA has been performed.

DNA, Mitochondrial↗

Modeling repeated ordinal responses using a family of power transformations: application to neonatal hypothermia data.

BACKGROUND: For analyzing a repeated ordinal response, it is common to use a multivariate cumulative logit model. This model may fit poorly, especially when a nonsymmetric response is available. In these cases, alternative strategies should be utilized. METHODS: In this paper, we present a family of power transformations for the cumulative probabilities to model asymmetric departures from the random-intercept cumulative logit model. To illustrate this method, we analyze the data from an epidemiologic study to identify risk factors of hypothermia among newly born infants in some referral university hospitals in Tehran, Iran. RESULTS: For hypothermia data, using this family of transformations and comparing the goodness-of-fit statistics showed that a model with the cumulative complementary log-log link gives us a better fit compared to a model with the cumulative logit link. CONCLUSION: In some areas, using the ordinary cumulative logit link function does not lead to the best fit. So, other link functions should be evaluated to discover the best transformation for the cumulative probabilities.

Delivery Rooms↗

Inhibitory effect of pravastatin on transforming growth factor beta1-inducible gene h3 expression in a rat model of chronic cyclosporine nephropathy.

BACKGROUND/AIMS: Overexpression of transforming growth factor beta1-inducible gene h3 (betaig-h3) is associated with renal scarring in several models of renal disease. We investigated the inhibitory effect of pravastatin on betaig-h3 expression in a rat model of chronic cyclosporin A (CsA)-induced nephropathy. METHODS: Adult Sprague Dawley rats kept on a low salt diet (0.05% sodium) were treated daily for 4 weeks with vehicle (olive oil, 1 ml/kg), CsA (15 mg/kg) or both CsA and pravastatin (20 mg/kg in drinking water). The effect of pravastatin on betaig-h3 expression was evaluated using in situ hybridization, immunohistochemistry, and immunoblotting. Functional parameters, histopathology (tubulointerstitial fibrosis, TIF, and arteriolopathy), and levels of transforming growth factor beta1 (TGF-beta1) and endothelial nitric oxide synthase were compared for the different treatment groups. RESULTS: Co-administration of pravastatin significantly inhibited betaig-h3 mRNA production and gene expression within the tubulointerstitium of the CsA-treated kidneys, and this paralleled an attenuation of TIF (12.7 +/- 2.2 vs. 35.9 +/- 5.4%, p < 0.01 vs. CsA) and the expression of TGF-beta1 mRNA (279 +/- 40 vs. 719 +/- 85%, p < 0.01 vs. CsA). Pravastatin treatment reduced endothelial nitric oxide synthase protein levels and reversed the renal dysfunction caused by CsA. Neither CsA nor pravastatin affected total serum cholesterol or triglyceride levels in the treatment groups. CONCLUSION: Pravastatin thus effectively abrogated the upregulation of betaig-h3 gene expression and associated TGF-beta1 production, and this was associated with attenuated TIF in this model of chronic CsA-induced nephropathy.

Animals↗