Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “systems drift”

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 397 records · Page 22Linked to original sources
PubMed2004

Influenza drift and epidemic size: the race between generating and escaping immunity.

Influenza in humans is characterised by strongly annual dynamics and antigenic evolution leading to partial escape from prior host immunity. The variability of new epidemic strains depends on the amount of virus currently circulating. In this paper, the amount of antigenic variation produced each year is dependent on the epidemic size. Our model reduces to a one-dimensional map and a full mathematical analysis is presented. This simple system suggests some basic principles which may be more generally applicable. In particular, for diseases with antigenic drift, vaccination may be doubly beneficial. Not only does it protect the population through classical herd immunity, but the overall case reduction reduces the chance of new variants being produced; hence, subsequent epidemics may be milder as a result of this positive feedback. Also, a disease with a high innate rate of antigenic variation will always be able to invade a susceptible population, whereas a disease with less potential for variation may require several introduction events to become endemic.

Antigenic Variation↗
PubMed2002

Nonlinear methods of biosignal analysis in assessing terbutaline-induced heart rate and blood pressure changes.

The aim of this study was to characterize how different nonlinear methods characterize heart rate and blood pressure dynamics in healthy subjects at rest. The randomized, placebo-controlled crossover study with intravenous terbutaline was designed to induce four different stationary states of cardiovascular regulation system. The R-R interval, systolic arterial blood pressure, and heart rate time series were analyzed with a set of methods including approximate entropy, sample entropy, Lempel-Ziv entropy, symbol dynamic entropy, cross-entropy, correlation dimension, fractal dimensions, and stationarity test. Results indicate that R-R interval and systolic arterial pressure subsystems are mutually connected but have different dynamic properties. In the drug-free state the subsystems share many common features. When the strength of the baroreflex feedback loop is modified with terbutaline, R-R interval and systolic blood pressure lose mutual synchrony and drift toward their inherent state of operation. In this state the R-R interval system is rather complex and irregular, but the blood pressure system is much simpler than in the drug-free state.

Adult↗
PubMed1997

More efficient breeding systems for controlling inbreeding and effective size in animal populations.

A selection scheme and a mating scheme are proposed to control the inbreeding and genetic drift in conserved or control animal populations with different numbers of males and females. Recurrence equations for the inbreeding coefficient and formulae for effective size are derived for autosomal loci, sex-linked loci with males being heterogametic and sex-linked loci with females being heterogametic under each of four breeding systems. It is shown that both the selection scheme and the mating scheme proposed in this paper could increase the effective size and decrease inbreeding in any generation compared with the classical selection and mating schemes. Among the four breeding systems considered, the most efficient one could increase the effective size by as much as 19 per cent for autosomal loci and 50 per cent for sex-linked loci in comparison with the classical breeding system usually utilized in conserved or control populations.

Animals↗
PubMed2006

Transport of a heated granular gas in a washboard potential.

We study numerically the motion of a one dimensional array of Brownian particles in a washboard potential, driven by an external stochastic force and interacting via short range repulsive forces. In particular, we investigate the role of instantaneous elastic and inelastic collisions on the system dynamics and transport. The system displays a locked regime, where particles may move only via activated processes and a running regime where particles drift along the direction of the applied field. By tuning the value of the friction parameter controlling the Brownian motion we explore both the overdamped dynamics and the underdamped dynamics. In the two regimes we considered the mobility and the diffusivity of the system as functions of the tilt and other relevant control parameters such as coefficient of restitution, particle size, and total number of particles. We find that while in the overdamped regime the results for the interacting systems present similarities with the known noninteracting case, in the underdamped regime the inelastic collisions determine a rich variety of behaviors among which is an unexpected enhancement of the inelastic diffusion.

Algorithms↗
PubMed2004

Chimera states for coupled oscillators.

Arrays of identical oscillators can display a remarkable spatiotemporal pattern in which phase-locked oscillators coexist with drifting ones. Discovered two years ago, such "chimera states" are believed to be impossible for locally or globally coupled systems; they are peculiar to the intermediate case of nonlocal coupling. Here we present an exact solution for this state, for a ring of phase oscillators coupled by a cosine kernel. We show that the stable chimera state bifurcates from a spatially modulated drift state, and dies in a saddle-node bifurcation with an unstable chimera state.

Journal Article↗
PubMedDate not supplied

Space-time spectra of complex cell filters in the macaque monkey: a comparison of results obtained with pseudowhite noise and grating stimuli.

White noise stimuli were used to estimate second-order kernels for complex cells in cortical area V1 of the macaque monkey, and drifting grating stimuli were presented to the sample of neurons to obtain orientation and spatial-frequency tuning curves. Using these data, we quantified how well second-order kernels predict the normalized tuning of the average response of complex cells to drifting gratings. The estimated second-order kernel of each complex cell was transformed into an interaction function defined over all spatial and temporal lags without regard to absolute position or delay. The Fourier transform of each interaction function was then computed to obtain an interaction spectrum. For a cell that is well modeled by a second-order system, the cell's interaction spectrum is proportional to the tuning of its average spike rate to drifting gratings. This result was used to obtain spatial-frequency and orientation tuning predictions for each cell based on its second-order kernel. From the spatial-frequency and orientation tuning curves, we computed peaks and bandwidths, and an index for directional selectivity. We found that the predictions derived from second-order kernels provide an accurate description of the change in the average spike rate of complex cells to single drifting sine-wave gratings. These findings are consistent with a model for complex cells that has a quadratic spectral energy operator at its core but are inconsistent with a spectral amplitude model.

Animals↗
PubMed1996

[Successful removal of an infected pacemaker electrode, drifted into the right atrium, by using a lead removal kit].

A 65-year-old male was suffered complications from an infected pacemaker in the left subclavian region. The generator was removed and its electrode was cut at the vascular entry. A new system was implanted on the other side. Two months later, he suffered from persistent fever which required administration of antibiotics for 2 months. 7 months later, the cut end of the infected electrode was found to have drifted into the right atrium. Its removal was performed to prevent a potential exacerbation of the systemic infection. We were able to pick up an end of the electrode using a basket catheter which was inserted through the right internal jugular vein to extract it. The lead was then successfully removed using a lead removal kit.

Aged↗
PubMed1975

Method for measuring brain tissue pressure. Response to alteration in pCO-2 systemic blood pressure, and middle cerebral artery occlusion.

The authors report a method for measuring total local brain tissue pressure (BTP) using a miniature catheter transducer stereotaxically introduced into the white matter of the cat's cerebrum. Quantitative rapid phasic pressure changes were satisfactorily demonstrated. Due to some drift of baseline of the transducers and inability to perform in vivo calibration, reliable long-term quantitative pressure measurements sometimes could not be studied. The BTP from each cerebral hemisphere and the cisternal pressure (CP) were monitored during alterations of pCO-2 and systemic blood pressure, and distilled H20 injection prior to and after right middle cerebral artery (MCA) ligation. The catheter transducers functioned well on chronic implantation for up to 6 weeks. Compared to the chronically implanted catheters, acutely implanted catheters responded identically except for drift. The response of intracranial pressure and CP to MCA occlusion, alterations in pCO2, and systemic blood pressure were similar. No BTP gradients appeared in response to MCA ligation, hypercapnia, hypertension, or progressive swelling of the resulting infarction.

Animals↗
PubMed2005

Persistence, spread and the drift paradox.

We derive conditions for persistence and spread of a population where individuals are either immobile or dispersing by advection and diffusion through a one-dimensional medium with a unidirectional flow. Reproduction occurs only in the stationary phase. Examples of such systems are found in rivers and streams, marine currents, and areas with prevalent wind direction. In streams, a long-standing question, dubbed 'the drift paradox', asks why aquatic insects faced with downstream drift are able to persist in upper stream reaches. For our two-phase model, persistence of the population is guaranteed if, at low population densities, the local growth rate of the stationary component of the population exceeds the rate of entry of individuals into the drift. Otherwise the persistence condition involves all the model parameters, and persistence requires a critical (minimum) domain size. We calculate the rate at which invasion fronts propagate up- and downstream, and show that persistence and ability to spread are closely connected: if the population cannot advance upstream against the flow, it also cannot persist on any finite spatial domain. By studying two limiting cases of our model, we show that residence in the immobile state always enhances population persistence. We use our findings to evaluate a number of mechanisms previously proposed in the ecological literature as resolutions of the drift paradox.

Models, Theoretical↗
PubMed1985

Quality control log with CUSUM and clinically useful limits criteria.

We describe a quality control (QC) log including its advantages over the more commonly used Levey-Jennings and Shewart graphic charts. It represents a practical system of analytic quality control for quantitative assays in clinical chemistry. It utilizes cumulative sum (CUSUM) techniques and comparison of means to monitor acute and chronic analytic drift, respectively. Clinically useful limits (CUL) criteria for QC decisions are used. An algorithm to facilitate the description of, training for, and use of, the QC log system is provided.

Chemistry, Clinical↗
PubMed2001

Inbreeding depression in small populations of self-incompatible plants.

Self-incompatibility (SI) is a widespread mechanism that prevents inbreeding in flowering plants. In many species, SI is controlled by a single locus (the S locus) where numerous alleles are maintained by negative frequency-dependent selection. Inbreeding depression, the decline in fitness of selfed individuals compared to outcrossed ones, is an essential factor in the evolution of SI systems. Conversely, breeding systems influence levels of inbreeding depression. Little is known about the joint effect of SI and drift on inbreeding depression. Here we studied, using a two-locus model, the effect of SI (frequency-dependent selection) on a locus subject to recurrent deleterious mutations causing inbreeding depression. Simulations were performed to assess the effect of population size and linkage between the two loci on the level of inbreeding depression and genetic load. We show that the sheltering of deleterious alleles linked to the S locus strengthens inbreeding depression in small populations. We discuss the implications of our results for the evolution of SI systems.

Alleles↗
PubMed1984

Origin and evolution of plateau waves. Experimental observations and a theoretical model.

Laboratory observations made in cats with fluid-percussion head injuries have suggested that plateau waves or Lundberg "A-waves" are not independent of systemic circulatory events. Four distinct phases in the evolution of the plateau wave have been identified, and each related to a circulatory change in a causal manner. The first phase is the premonitory drift phase where intracranial pressure (ICP) gradually increases prior to the plateau proper. This phase is caused by a slow gradual decline in systemic arterial blood pressure (SABP) which increases ICP by autoregulatory vasodilation and reduces cerebral perfusion pressure (CPP) to a range of 70 to 80 mm Hg. The second phase is the plateau phase initiated at a CPP of about 70 to 80 mm Hg, and is characterized by a rapid increase in ICP as CPP falls further to 40 to 50 mm Hg. The plateau lasts as long as the CPP remains stable and above ischemic levels. The third phase is the ischemic response, characterized by CPP being returned toward normal by increases in SABP in response to very low CPP's. The fourth phase is the resolution, characterized by a rapid decline in the ICP to baseline levels with stabilization of the SABP and CPP, and is best explained by autoregulatory vasoconstriction. Plateau waves appear to occur as the result of intact or mostly intact autoregulation responding to changes in CPP. The series of events that follow are best explained by what is known of normal autoregulation; the various properties of plateau waves are viewed and explained as the expected and logical consequences of an unstable CPP acting upon a generally intact cerebrovascular bed in the face of elevated ICP and decreased compliance.

Animals↗
PubMed1996

Future potential of targeted component analysis by multidimensional liquid chromatography-mass spectrometry.

Multidimensional liquid chromatography (MDLC) may be used in either (i) the profiling mode where it is the objective to fractionate all components in a mixture or (ii) the targeted component mode in which it is the objective to determine specific analytes. This paper focuses on targeted component analysis from complex mixtures, addressing the critical operations of analyte selection and transport from the first to the second dimension. Although the physical operation of switching a component into the second dimension with computer controlled valving is simple, it is shown that changes in analyte retention time and peak width with column age and fouling are a serious problem. The analyte moves out of the preselected time window for valve switching and quantitation is compromised in the second dimension. It is proposed that a solution to the "drifting peak" phenomenon in targeted component analysis is to use binary mobility elution in the first dimension. Binary mobility refers to those systems, such as affinity chromatography, in which analyte mobility is generally either 0 or 1 relative to mobile phase velocity. Coupling these binary changes in analyte mobility in the first dimension with valve switching eliminates the "drifting peak" phenomenon. In addition, it is shown that a wide time window may be used in affinity separations without compromising the separation or accumulating contaminants. Several cases are described in which immunosorbents were used with reversed phase columns to provide quantitative targeted component analyses from complex mixtures.

Animals↗
PubMed1994

Acquisition and processing of data for isotope-ratio-monitoring mass spectrometry.

Methods are described for continuous monitoring of signals required for precise analyses of 13C, 18O, and 15N in gas streams containing varying quantities of CO2 and N2. The quantitative resolution (i.e. maximum performance in the absence of random errors) of these methods is adequate for determination of isotope ratios with an uncertainty of one part in 10(5); the precision actually obtained is often better than one part in 10(4). This report describes data-processing operations including definition of beginning and ending points of chromatographic peaks and quantitation of background levels, allowance for effects of chromatographic separation of isotopically substituted species, integration of signals related to specific masses, correction for effects of mass discrimination, recognition of drifts in mass spectrometer performance, and calculation of isotopic delta values. Characteristics of a system allowing off-line revision of parameters used in data reduction are described and an algorithm for identification of background levels in complex chromatograms is outlined. Effects of imperfect chromatographic resolution are demonstrated and discussed and an approach to deconvolution of signals from coeluting substances described.

Alkanes↗
PubMed2026

AI-driven snapshot hyperspectral imaging for on-line sorting systems in food industry: From real-time sensing to intelligent decision-making.

High-throughput food sorting requires rapid, non-destructive detection of external defects, foreign materials, and internal quality attributes in heterogeneous food matrices. Conventional scanning hyperspectral imaging may suffer from motion-induced spatial-spectral mismatches, whereas snapshot hyperspectral imaging (S-HSI) captures spectral images within a single integration time. However, its advantage is limited by trade-offs in resolution, signal-to-noise ratio (SNR), reconstruction uncertainty, and calibration stability, which are further amplified by variable tissue structure, surface reflection, moisture, and fat distribution in foods. This review critically examines artificial intelligence (AI)-driven S-HSI for on-line food sorting within a sensing-representation-decision-execution framework. Compact architectures are compared according to their physical constraints, food-sorting suitability, and ability to support mapping between spectral responses and physicochemical quality attributes. AI strategies are reviewed for spectral reconstruction, image restoration, spatial-spectral representation, band selection, uncertainty-aware decision-making, and edge implementation. AI can partially compensate for snapshot-specific limitations, but current evidence remains largely limited to laboratory or prototype studies. Future work should link system performance to food safety and quality outcomes by reporting throughput, decision latency, calibration drift, missed-detection risk, false-rejection cost, and closed-loop sorting success.

Hyperspectral Imaging↗
PubMed1988

A model of automatic attention attraction when mapping is partially consistent.

A model is described to account for the data of Durso, Cooke, Breen, and Schvaneveldt (1987). On the basis of the relative frequency of an item's presentation as a target, the item develops an automatic tendency to attract attention. When stimuli are then displayed, each calls the attention system to a degree determined by its present strength. We assume that attention eventually drifts to the strongest stimulus (which is then given as a response), but in a time determined inversely by the difference in strength between the two strongest stimuli. A version of this model in which the strengths were freely estimated parameters predicted the various elements of the data with good accuracy. In other versions of the model, strength values were derived from assumptions concerning the learning of automatism. Two of these models, quite different in character, captured the major qualitative features of the data. Further empirical tests of the models are suggested.

Attention↗