Langevin equations with multiplicative noise: Application to domain growth

Langevin Equations of Ginzburg-Landau form, with multiplicative noise, are proposed to study the effects of fluctuations in domain growth. These equations are derived from a coarse-grained methodology. The Cahn-Hiliard-Cook linear stability analysis predicts some effects in the transitory regime. We also derive numerical algorithms for the computer simulation of these equations. The numerical results corroborate the analytical predictions of the linear analysis. We also present simulation results for spinodal decomposition at large times.

Absorption and pharmacokinetics of green tea catechins in beagles

The present study evaluates for the first time in dogs, the kinetics of green tea catechins and their metabolic forms in plasma and urine. Ten beagles were administered 173 mg (12·35 mg/kg body weight) of catechins as a green tea extract, in capsules. Blood samples were collected during 24 h after intake and urine samples were collected during the following periods of time: 0-2, 2-6, 6-8 and 8-24 h. Two catechins with a galloyl moiety and three conjugated metabolites were detected in plasma. Most of the detected forms in plasma reached their maximum plasma concentration (Cmax) at around 1 h. Median Cmax for (2)-epigallocatechin-3-gallate (EGCG), (2)-epicatechin-3-gallate (ECG), (2)-epigallocatechin glucuronide (EGCglucuronide), (2)-epicatechin glucuronide (EC-glucuronide), (2)-epicatechin sulphate (EC sulphate) were 0·3 (range 0·1-1·9), 0·1 (range 0-0·4), 0·8 (range 0·2-3·9), 0·2 (range 0·1 1·7) and 1 (range 0·3-3·4) mmol/l, respectively. The areas under the plasma concentration v. time curves (AUC0!24) were 427 (range 102-1185) mmol/l £ min for EGC-glucuronide, 112 (range 53-919) mmol/l £ min for EC-sulphate, 71 (range 26-306) mmol/l £ min for EGCG, 40 (range 12-258) mmol/l £ min for EC-glucuronide and 14 (range 0·1-124) mmol/l £ min for ECG. The values of mean residence time (MRT0!24) were 5 (range 2-16), 2 (range 1-11), 10 (range 2-13), 3 (range 2-16) and 2·4 (range 1-18) h for EGCG, ECG, EGC-glucuronide, EC-glucuronide and EC sulphate, respectively. In urine, catechins were present as conjugated forms, suggesting bile excretion of EGCG and ECG. Green tea catechins are absorbed following an oral administration and EGC-glucuronide is the metabolic form that remains in the organism for a longer period of time, suggesting that this compound could suffer an enterohepatic cycle.

Absorption and pharmacokinetics of green tea catechins in beagles

The present study evaluates for the first time in dogs, the kinetics of green tea catechins and their metabolic forms in plasma and urine. Ten beagles were administered 173 mg (12·35 mg/kg body weight) of catechins as a green tea extract, in capsules. Blood samples were collected during 24 h after intake and urine samples were collected during the following periods of time: 0-2, 2-6, 6-8 and 8-24 h. Two catechins with a galloyl moiety and three conjugated metabolites were detected in plasma. Most of the detected forms in plasma reached their maximum plasma concentration (Cmax) at around 1 h. Median Cmax for (2)-epigallocatechin-3-gallate (EGCG), (2)-epicatechin-3-gallate (ECG), (2)-epigallocatechin glucuronide (EGCglucuronide), (2)-epicatechin glucuronide (EC-glucuronide), (2)-epicatechin sulphate (EC sulphate) were 0·3 (range 0·1-1·9), 0·1 (range 0-0·4), 0·8 (range 0·2-3·9), 0·2 (range 0·1 1·7) and 1 (range 0·3-3·4) mmol/l, respectively. The areas under the plasma concentration v. time curves (AUC0!24) were 427 (range 102-1185) mmol/l £ min for EGC-glucuronide, 112 (range 53-919) mmol/l £ min for EC-sulphate, 71 (range 26-306) mmol/l £ min for EGCG, 40 (range 12-258) mmol/l £ min for EC-glucuronide and 14 (range 0·1-124) mmol/l £ min for ECG. The values of mean residence time (MRT0!24) were 5 (range 2-16), 2 (range 1-11), 10 (range 2-13), 3 (range 2-16) and 2·4 (range 1-18) h for EGCG, ECG, EGC-glucuronide, EC-glucuronide and EC sulphate, respectively. In urine, catechins were present as conjugated forms, suggesting bile excretion of EGCG and ECG. Green tea catechins are absorbed following an oral administration and EGC-glucuronide is the metabolic form that remains in the organism for a longer period of time, suggesting that this compound could suffer an enterohepatic cycle.

Readout schemes for low noise single-photon avalanche diodes fabricated in conventional HV-CMOS technologies

Three different pixels based on single-photon avalanche diodes for triggered applications, such as fluorescence lifetime measurements and high energy physics experiments, are presented. Each pixel consists of a 20µm x 100µm (width x length) single photon avalanche diode and a monolithically integrated readout circuit. The sensors are operated in the gated mode of acquisition to reduce the probability to detect noise counts interferring with real radiation events. Each pixel includes a different readout circuit that allows to use low reverse bias overvoltages. Experimental results demonstrate that the three pixels present a similar behaviour. The pixels get rid of afterpulses and present a reduced dark count probability by applying the gated operation. Noise figures are further improved by using low reverse bias overvoltages. The detectors exhibit an input dynamic range of 13.35 bits with short gated"on" periods of 10ns and a reverse bias overvoltage of 0.5V. The three pixels have been fabricated in a standard HV-CMOS process.

Tolerance and Relative Utility: Two Proposed Indices for Comparing Change in Clinical Measurement Noise Between Different Populations (Repeatability) or Measurement Methods (Agreement).

Reaching a consensus in terms of interchangeability and utility (i.e., disease detection/monitoring) of a medical device is the eventual aim of repeatability and agreement studies. The aim of the tolerance and relative utility indices described in this report is to provide a methodology to compare change in clinical measurement noise between different populations (repeatability) or measurement methods (agreement), so as to highlight problematic areas. No longitudinal data are required to calculate these indices. Both indices establish a metric of least to most effected across all parameters to facilitate comparison. If validated, these indices may prove useful tools when combining reports and forming the consensus required in the validation process for software updates and new medical devices.

Haulikkoratamelun minimoinnin suunnittelu

Työn tavoitteena oli tutkia kilpa- ja harjoitusammuntaan käytettävällä haulikkoradalla käytettäväksi soveltuvia passiivisia meluntorjuntamenetelmiä ja suunnitella niistä toimiva kokonaisuus kohderadoille siten, että rata-alueen läheisillä asuinalueilla alitetaan 50 dB LAIMax-taso sekä muilla alueilla ampumaratamelun ohjearvot. Aluksi tarkasteltiin kohderatojen vanhoja menetelmiä ja radan meluntorjunnan kannalta olennaiset suunnat selvitettiin mittauksilla. Myös laukausmelun spektriä tutkittiin mittauksilla. Olemassa oleville menetelmille etsittiin korvaavia ja täydentäviä menetelmiä. Radan sijoittaminen maastoon on tärkeä osa meluntorjuntaa uutta rataa suunniteltaessa, mutta kohteena olleiden ratojen sijoittamista ei voitu enää muuttaa. Koska haulikkoammunnan säännöt eivät mahdollista aliääniammusten tai äänenvaimentimien käyttöä, ei varsinaista melupäästöä pystytä pienentämään. Melulle altistuvan kohteen sisätilojen suojaaminenkin on käytännössä hyödytöntä, koska ampumamelun ohjearvot ovat ulkoalueille. Ainoastaan melun absorptio, etenemisen estäminen ja ohjaaminen ovat kelvollisia menetelmiä kohderadoilla. Rata-alueelle suunniteltiin uudet ratojen väliset meluseinät, joiden ääneneristävyys ja -absorptio on vanhoja seiniä parempi. Taustavallille suunniteltiin jatkamista maavallina ja korottamista meluaitana, joka toimii myös haulienkierrätysjärjestelmän runkona. Alueen maaperä suunniteltiin muutettavaksi akustisesti pehmeämmäksi. Käytettävien menetelmien suunnittelussa tehtiin eri vaihtoehdoille laskennallisia arvioita, tietokonemallinnuksia ja laboratoriokokeita. Myös uusia menetelmiä haulikkoradan meluntorjunnassa tutkittiin. Tutkimusten perusteella näitä menetelmiä tutkitaan jatkossa käytännössä.

Improving Pitch Tracking Performance in Hard Noise Conditions by a Preprocessing Based on Mathematical Morphology

In this paper we show how a nonlinear preprocessing of speech signal -with high noise- based on morphological filters improves the performance of robust algorithms for pitch tracking (RAPT). This result happens for a very simple morphological filter. More sophisticated ones could even improve such results. Mathematical morphology is widely used in image processing and has a great amount of applications. Almost all its formulations derived in the two-dimensional framework are easily reformulated to be adapted to one-dimensional context

Asymmetric stochastic switching driven by intrinsic molecular noise

Low-copy-number molecules are involved in many functions in cells. The intrinsic fluctuations of these numbers can enable stochastic switching between multiple steady states, inducing phenotypic variability. Herein we present a theoretical and computational study based on Master Equations and Fokker-Planck and Langevin descriptions of stochastic switching for a genetic circuit of autoactivation. We show that in this circuit the intrinsic fluctuations arising from low-copy numbers, which are inherently state-dependent, drive asymmetric switching. These theoretical results are consistent with experimental data that have been reported for the bistable system of the gallactose signaling network in yeast. Our study unravels that intrinsic fluctuations, while not required to describe bistability, are fundamental to understand stochastic switching and the dynamical relative stability of multiple states.

Physiological noise in human cerebellar fMRI.

OBJECTIVES: To compare physiological noise contributions in cerebellar and cerebral regions of interest in high-resolution functional magnetic resonance imaging (fMRI) data acquired at 7T, to estimate the need for physiological noise removal in cerebellar fMRI. MATERIALS AND METHODS: Signal fluctuations in high resolution (1 mm isotropic) 7T fMRI data were attributed to one of the following categories: task-induced BOLD changes, slow drift, signal changes correlated with the cardiac and respiratory cycles, signal changes related to the cardiac rate and respiratory volume per unit of time or other. [Formula: see text] values for all categories were compared across regions of interest. RESULTS: In this high-resolution data, signal fluctuations related to the phase of the cardiac cycle and cardiac rate were shown to be significant, but comparable between cerebellar and cerebral regions of interest. However, respiratory related signal fluctuations were increased in the cerebellar regions, with explained variances that were up to 80 % higher than for the primary motor cortex region. CONCLUSION: Even at a millimetre spatial resolution, significant correlations with both cardiac and respiratory RETROICOR components were found in all healthy volunteer data. Therefore, physiological noise correction is highly likely to improve the temporal signal-to-noise ratio (SNR) for cerebellar fMRI at 7T, even at high spatial resolution.

A comprehensive model for quantum noise characterization in digital mammography.

NlmCategory="UNASSIGNED">A version of cascaded systems analysis was developed specifically with the aim of studying quantum noise propagation in x-ray detectors. Signal and quantum noise propagation was then modelled in four types of x-ray detectors used for digital mammography: four flat panel systems, one computed radiography and one slot-scan silicon wafer based photon counting device. As required inputs to the model, the two dimensional (2D) modulation transfer function (MTF), noise power spectra (NPS) and detective quantum efficiency (DQE) were measured for six mammography systems that utilized these different detectors. A new method to reconstruct anisotropic 2D presampling MTF matrices from 1D radial MTFs measured along different angular directions across the detector is described; an image of a sharp, circular disc was used for this purpose. The effective pixel fill factor for the FP systems was determined from the axial 1D presampling MTFs measured with a square sharp edge along the two orthogonal directions of the pixel lattice. Expectation MTFs were then calculated by averaging the radial MTFs over all possible phases and the 2D EMTF formed with the same reconstruction technique used for the 2D presampling MTF. The quantum NPS was then established by noise decomposition from homogenous images acquired as a function of detector air kerma. This was further decomposed into the correlated and uncorrelated quantum components by fitting the radially averaged quantum NPS with the radially averaged EMTF(2). This whole procedure allowed a detailed analysis of the influence of aliasing, signal and noise decorrelation, x-ray capture efficiency and global secondary gain on NPS and detector DQE. The influence of noise statistics, pixel fill factor and additional electronic and fixed pattern noises on the DQE was also studied. The 2D cascaded model and decompositions performed on the acquired images also enlightened the observed quantum NPS and DQE anisotropy.

Bayesian Estimation of Noise

In mathematical modeling the estimation of the model parameters is one of the most common problems. The goal is to seek parameters that fit to the measurements as well as possible. There is always error in the measurements which implies uncertainty to the model estimates. In Bayesian statistics all the unknown quantities are presented as probability distributions. If there is knowledge about parameters beforehand, it can be formulated as a prior distribution. The Bays’ rule combines the prior and the measurements to posterior distribution. Mathematical models are typically nonlinear, to produce statistics for them requires efficient sampling algorithms. In this thesis both Metropolis-Hastings (MH), Adaptive Metropolis (AM) algorithms and Gibbs sampling are introduced. In the thesis different ways to present prior distributions are introduced. The main issue is in the measurement error estimation and how to obtain prior knowledge for variance or covariance. Variance and covariance sampling is combined with the algorithms above. The examples of the hyperprior models are applied to estimation of model parameters and error in an outlier case.

Extension of the impedance field method to the noise analysis of a semiconductor junction: Analytical approach

We present an analytical procedure to perform the local noise analysis of a semiconductor junction when both the drift and diffusive parts of the current are important. The method takes into account space-inhomogeneous and hot-carriers conditions in the framework of the drift-diffusion model, and it can be effectively applied to the local noise analysis of different devices: n+nn+ diodes, Schottky barrier diodes, field-effect transistors, etc., operating under strongly inhomogeneous distributions of the electric field and charge concentration