Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Transformer model”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,009 records · Page 56Linked to original sources
PubMed2001

Oxygen atom transfer from nitrogenous ReVO reagents to diphosphines and subsequent transformations. Rhenium(III) products and reaction models.

The concerned diphosphines are Ph2P(CH2)nPPh2 (1), abbreviated PnP, and the ReVO reagents are ReOCl3L (2) and ReOCl3L' (3), where L and L' are the azopyridine and pyridine-imine ligands p-ClC6H4N=NC5H4N and p-MeC6H4N=CHC5H4N, respectively. One atom transfer from 2 to 1 has afforded Re(OPnP)Cl3L (4a, n = 1; 4b, n = 2; 4c, n = 3). Of these 4b and 4c are stable, but 4a undergoes spontaneous isomerization to Re(PlPO)Cl3L (5) in solution. Two-atom transfer studied with both 2 and 3 has afforded binuclear LCl3Re(OPnPO)ReCl3L (8a, n = 2; 8b, n = 3) and L'Cl3Re(OPnPO)ReCl3L' (9a, n = 2; 9b, n = 3) for n = 2, 3 and mononuclear Re(OP1PO)Cl3L (11) and Re(OP1PO)Cl3L' (12) for n = 1. The mixed system L'Cl3Re(OP2PO)ReCl3L (10) has been prepared from 3 and 4b. The complex Re(PPh3)Cl3L (7a) is furnished by the reaction of Re(OPPh3)Cl3L (6a) or 4b or 11 with PPh3. The species have been characterized with the help of spectral, electrochemical, and X-ray structural data. All the complexes have mer geometry except 5 and 7a, which have fac geometry. The latter is best suited for concurrent Re-N and Re-P back-bonding. Variable-temperature rate data of the reaction 4a-->5 are consistent with an intramolecular strongly associative transition state (delta S++, -22.6 eu) in which the dangling phosphine function lies close to the metal. Two-atom transfer to P1P is believed to proceed via a transient binuclear intermediate which undergoes cleavage at one end due to steric crowding, affording 11 and 12. Crystal data for the complexes are as follows: 5.1.5 C6H6, empirical formula C45H39Cl4N3OP2Re, crystal system triclinic, space group P1, a = 10.034(2) A, b = 10.737(2) A, c = 20.357(4) A, alpha = 89.38(3) degrees, beta = 87.79(3) degrees, gamma = 80.22(3) degrees, V = 2159.7(7) A3, Z = 2; 7a.CH2Cl2, empirical formula C30H25Cl6N3PRe, crystal system monoclinic, space group P2(1)/n, a = 11.695(6) A, b = 17.745(7) A, c = 15.459(9) A, beta = 100.94(5) degrees, V = 3150(3) A3, Z = 4; 9a, empirical formula C52H48Cl6N4O2P2Re2, crystal system monoclinic, space group C2/c, a = 19.769(12) A, b = 12.864(6) A, c = 22.20(2) A, beta = 101.76(6) degrees, V = 5530(6) A3, Z = 4; 11, empirical formula C36H30Cl4N3O2P2Re, crystal system monoclinic, space group I2/a, a = 16.866(6) A, b = 12.583(6) A, c = 34.78(2) A, beta = 99.22(4) degrees, V = 7285(7) A3, Z = 8.

Journal Article↗
PubMed1992

Vocal tract area function estimation from midsagittal dimensions with CT scans and a vocal tract cast: modeling the transition with two sets of coefficients.

The generation of area functions from measurements of the sagittal section is an important step in the study of the relation between vocal tract geometry and speech acoustics. We present a new model to perform this transformation, inspired by the alpha beta model of Heinz & Stevens (1965). Our model is based on analysis of a vocal tract cast for large sagittal dimensions and for small sagittal dimensions on CT scans of the vocal tract constriction zones for the three cardinal vowels [i, a, u] of French. We extracted two sets of coefficients, appropriate for large and small sagittal dimensions respectively. We then compared the predictions of the model with those of other models from the literature. Finally, the usefulness of this dual coefficient procedure for the acoustic simulation of vowels was tested using sagittal sections generated by an acoustic model of the vocal tract.

Female↗
PubMed2000

Statistical modeling of positron emission tomography images in wavelet space.

A new method is introduced for the analysis of multiple studies measured with emission tomography. Traditional models of statistical analysis (ANOVA, ANCOVA and other linear models) are applied not directly on images but on their correspondent wavelet transforms. Maps of model effects estimated from these models are filtered using a thresholding procedure based on a simple Bonferroni correction and then reconstructed. This procedure inherently represents a complete modeling approach and therefore obtains estimates of the effects of interest (condition effect, difference between conditions, covariate of interest, and so on) under the specified statistical risk. By performing the statistical modeling step in wavelet space. the procedure allows the direct estimation of the error for each wavelet coefficient; hence, the local noise characteristics are accounted for in the subsequent filtering. The method was validated by use of a null dataset and then applied to typical examples of neuroimaging studies to highlight conceptual and practical differences from existing statistical parametric mapping approaches.

Artifacts↗
PubMedDate not supplied

Transformational leadership: the development of a model of nursing case management by the army nurse corps.

Management philosophy and culture of any organization must match the nursing professions' core value of caring. Organizational conflict symptomology includes communication barriers and widely differing values. Employment of accountability based systems and bringing nurses into governance prevents conflict and improves job satisfaction. This article identifies the barriers to case management program development and discusses strategies for its successful implementation. Today's most successful organizations will implement an institution-wide commitment to a culture within which excellence flourishes. Creative staffing models and professional practice partnerships such as nursing case management will be supported and encouraged by executive leadership; they work as a team and will be jointly accountable for positive outcomes The United States Army Nurse Corps has the framework necessary to develop a premiere nursing organization. Case management departments may adopt these techniques to improve working relationships and leadership capacity within their organizations.

Case Management↗
PubMed2006

Kinetics of disorder-to-fcc phase transition via an intermediate bcc state.

Time-resolved small-angle x-ray scattering measurements reveal that a long-lived intermediate bcc state forms when a poly(styrene-b-isoprene) diblock copolymer solution in an isoprene selective solvent is rapidly cooled from the disordered micellar fluid at high temperature to an equilibrium fcc state. The kinetics of the epitaxial growth of the [111] fcc peak from the [110] bcc peak was obtained by fitting the scattering data to a simple model of the transformation. The growth of the [111] fcc peak agrees with the Avrami model of nucleation and growth kinetics with an exponent n=1.4, as does the initial decay of the [110] bcc peak, with an exponent n=1.3. The data were also found to be in good agreement with the Cahn model of grain boundary nucleation and growth.

Journal Article↗
PubMed2005

Transformation of madin-darby canine kidney epithelial cells by sheep retrovirus envelope proteins.

Jaagsiekte sheep retrovirus (JSRV) and enzootic nasal tumor virus (ENTV) induce epithelial tumors in the airways of sheep and goats. In both of these simple retroviruses, the envelope (Env) protein is the active oncogene. Furthermore, JSRV Env can transform cultured cells by two distinct mechanisms. In rat and mouse fibroblasts, the cytoplasmic tail of JSRV Env is essential for transformation, which involves activation of the phosphatidylinositol 3-kinase (PI3K)/Akt pathway, and the virus receptor hyaluronidase 2 (Hyal2) is not involved. In contrast, in the BEAS-2B human bronchial epithelial cell line, transformation is mediated by JSRV Env binding to Hyal2 followed by Hyal2 degradation and activation of the receptor tyrosine kinase RON, the activity of which is normally suppressed by Hyal2. Here we show that JSRV and ENTV Env proteins can also transform Madin-Darby canine kidney (MDCK) epithelial cells, but by a mechanism similar to that observed in fibroblast cell lines. In particular, the cytoplasmic tail of Env is required for transformation, the PI3K/Akt pathway is activated, expression of RON (which is not normally expressed in MDCK cells) does not affect transformation, and canine Hyal2 appears uninvolved. These results show that the JSRV and ENTV Env proteins can transform epithelial cells besides BEAS-2B cells and argue against a model for Env transformation involving different pathways that are uniquely active in fibroblasts or epithelial cells.

Amino Acid Motifs↗
PubMed1993

Transformation of BALB/c-3T3 cells: IV. Rank-ordered potency of 24 chemical responses detected in a sensitive new assay procedure.

This report introduces an improved method of detecting chemical-induced morphological transformation of A-31-1-13 BALB/c-3T3 cells. The new procedure uses an increased target cell population to assess chemical-induced damage by increasing the initial seeding density and by delaying the initiation time of chemical treatment. Furthermore, a newly developed co-culture clonal survival assay was used to select chemical doses for the transformation assay. This assay measured the relative cloning efficiency (RCE) of chemical treatments in high-density cell cultures. In addition, transformation assay sensitivity was enhanced through the use of improved methods to solubilize many chemicals. From a group of 24 chemicals tested in at least two trials, clear evidence of chemical-induced transformation was detected for 12 chemicals (aphidicolin, barium chloride-2H2O, 5-bromo-2'-deoxyuridine, C.I. direct blue 15, trans-cinnamaldehyde, cytosine arabinoside, diphenylnitrosamine, manganese sulfate-H2O, 2-mercaptobenzimidazole, mezerein, riddelliine, and 2,6-xylidine); 2 chemicals had equivocal activity [C.I. direct blue 218 and mono(2-ethylhexyl)phthalate], 9 chemicals were inactive [carisoprodol, chloramphenicol sodium succinate, 4-chloro-2-nitroaniline, C.I. acid red 114, isobutyraldehyde, mono(2-ethylhexyl)adipate, sodium fluoride, and 12-O-tetradecanoylphorbol-13-acetate), and 1 chemical had an indeterminate response (2,6-dinitrotoluene). All positive responses were detected in the absence of an exogenous activation system and exhibited significant activity at two or more consecutive doses. This report also presents a mathematical method that uses t-statistics for rank-ordering the potency of chemical-induced transformation responses. This model detects sensitivity differences in experiments used to evaluate chemical-induced transformation. Furthermore, it provides a method to estimate a chemical's transformation response in terms of the historical behavior of the assay, as well as its future activity. The most active of the 24 chemicals was mezerein, and the least active chemical was diphenylnitrosamine.

3T3 Cells↗
PubMed2002

Stochastic generation and disaggregation of hourly rainfall series for continuous hydrological modelling and flood control reservoir design.

In the urban environment, stormwater detention basins are a powerful means to limit the frequency of sewer system failures and consecutive urban flooding. To design such waterworks or to check their efficiency, it is possible to carry out continuous rainfall-runoff modelling. A long-term discharge series obtained from a long-term rainfall series is used as input for a storage model describing the detention basin behaviour: the basin behaviour may be consequently studied over a long period. The provided statistical information on the working state frequency, failure frequency, ... of the detention basin is of high interest for the basin diagnostic or for its design. This paper presents the whole methodology which leads to production of such statistical information and especially: the models used to generate long term rainfall series with a short time step, the rainfall-runoff model used to transform the later series into a long term discharge series, and the model used to describe the behaviour of the detention basin. This methodology was applied to evaluate the efficiency of 4 detention basins built for stormwater control and flood mitigation. They are situated on a Swiss urban catchment (Chamberonne catchment--40 km2) collecting water from the Mèbre and Sorge rivers.

Cities↗
PubMedDate not supplied

[Brain cathepsin as dipeptidylcarboxypeptidase transforming provasopressor, pro-opioid and model peptides].

Cathepsin B from brain exhibited both endopeptidase and dipeptidyl carboxypeptidase activity. Recently the factors, contributing to dipeptidyl carboxypeptidase properties of brain cathepsin B, were identified: I. occupation of the enzyme S3 subsite, 2. free C-terminal group of the substrate, 3. specific interaction between the split off dipeptide and the enzyme active site. The identification was carried out using angiotensin I, its C-end tripeptide and chromophore oligopeptides containing p-nitrophenylalanine residue. C-terminal dipeptide was split off in the proopioid peptides dynorphins 1-7 and 1-8, Met-enkephalin-Arg6-Phe7, Met-enkephalin-Arg6-Gly7-Leu8; the enzyme hydrolyzed also the C-terminal dipeptide bond in Leu- and Met-enkephalins without the subsequent hydrolysis of the remaining tripeptide. D-Ala2, D-Leu5-enkephalin were not hydrolyzed; the bond Arg9-Pro10 was resistant to proteolysis in dynorphin 1-11. Cathepsin B split off the C-terminal dipeptide in synthetic substrates Leu-Trp-Met-Arg-Phe-Ala and Trp-Met-Arg-Phe-Ala but not in Met-Arg-Phe-Ala. These results 06.08 M-15 demonstrated the essential role of branched-chain amino acid residue at the position of P2 and/or P3 of substrates for the enzyme dipeptidyl carboxypeptidase activity. The data obtained suggest that Arg residue at the position P2 (dynorphin 1-7) slowed down, D-amino acid at the position P2 (D-Ala2, D-Leu5-enkephalin) and Pro-Lys bond at the position P1-P2 (dynorphin 1-11) inhibited the cathepsin B dipeptidyl carboxypeptidase activity.

Amino Acids↗
PubMed1990

A note on fitting one-compartment models: non-linear least squares versus linear least squares using transformed data.

Drug concentrations in one-compartment systems are frequently modeled using a single exponential function. Two methods of estimation are commonly used for determining the parameters of such a model. In the first method, non-linear least-squares regression is used to calculate the parameters. In the second method, the data are first transformed by a logarithmic function, and then the log-concentration data are fit using linear least-squares regression. The assumptions for fitting these models are discussed with special emphasis on which data points are most influential in determining parameter values. The similarities between fitting a linear regression model to the log-concentration data and fitting a weighted regression model to the original data are noted. An example is presented that illustrates the differences in fitting a model to the log-transformed data versus fitting unweighted and weighted models to the original-scale data.

Animals↗
PubMed2006

Predicting brain concentrations of drug using positron emission tomography and venous input: modeling of arterial-venous concentration differences.

OBJECTIVE: In a positron emission tomography (PET) study, the concentrations of the labeled drug (radiotracer) are often different in arterial and venous plasma, especially immediately following administration. In a PET study, the transfer of the drug from plasma to brain is usually described using arterial plasma concentrations, whereas venous sampling is standard in clinical pharmacokinetic studies of new drug candidates. The purpose of the study was to demonstrate the modeling of brain drug kinetics based on PET data in combination with venous blood sampling and an arterio-venous transform (T(av)). METHODS: Brain kinetics (C(br)) was described as the convolution of arterial plasma kinetics (C(ar)) with an arterial-to-brain impulse response function (T(br)). The arterial plasma kinetics was obtained as venous plasma kinetics (C(ve)) convolved with the inverse of the arterio-venous transform (T(av) (-1)). The brain kinetics was then given by C(br)=C(ve)*T(av) (-1)*T(br). This concept was applied on data from a clinical PET study in which both arterial and venous plasma sampling was done in parallel to PET measurement of brain drug kinetics. The predictions of the brain kinetics based on an arterial input were compared with predictions using a venous input with and without an arterio-venous transform. RESULTS: The venous based models for brain distribution, including a biexponential arterio-venous transform, performed comparably to models based on arterial data and better than venous based models without the transform. It was also shown that three different brain regions with different shaped concentration curves could be modeled with a common arterio-venous transform together with an individual brain distribution model. CONCLUSION: We demonstrated the feasibility of modeling brain drug kinetics based on PET data in combination with venous blood sampling and an arterio-venous transform. Such a model can in turn be used for the calculation of brain kinetics resulting from an arbitrary administration mode by applying this model on venous plasma pharmacokinetics. This would be an important advantage in the development of drugs acting in the brain, and in other circumstances when the effect is likely to be closer related to the brain than the plasma concentration.

Adult↗