SEARCH · PubMed Health

Results for “Spatiotemporal variation”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

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

At least 37 records · Page 2Linked to original sources

PubMed2006

[Effects of nitrogen application rate and its basal-/top-dressing ratio on spatio-temporal variations of soil NO3- -N and NH4+ -N contents].

Under high-yielding cultivation condition, this paper studied the spatiotemporal variations of soil NO3 -N and NH4+ -N contents as affected by different nitrogen application rate and its basal-/top-dressing ratio, and calculated the apparent budget of soil nitrogen at different growth stages of wheat. The results indicated that compared with split application, applying all fertilizer nitrogen at jointing stage decreased the soil NO3- -N content and apparent surplus of soil nitrogen before jointing stage, and decreased the nitrogen leaching to deeper soil layers. Applying fertilizer nitrogen at flagging stage had no significant difference with split application in soil NO3- -N content, but increased soil NH4+ -N content. Applying fertilizer nitrogen at maturing stage increased the soil NO3- -N content in 0-60 cm and 0-20 cm layers. In comparing with applying 240 kg x hm(-2) of fertilizer nitrogen at jointing stage, applying 168 kg x hm(-2) of fertilizer nitrogen at the same stage decreased the soil NO3- -N and NH4+ -N contents at flagging stage, soil nitrogen deficit from flagging to maturing stage, and soil NO3- -N content at maturing stage. The grain yield and its protein content had no significant difference among different treatments, but applying all 168 kg x hm(-2) fertilizer nitrogen at jointing stage induced the highest grain protein content.

Fertilizers↗

PubMedDate not supplied

Spatiotemporal analysis of environmental exposure-health effect associations.

The goal of this work is to discuss a general methodology for studying associations between environmental exposures and health effect by means of the spatiotemporal random field theory. This theory is the tool of choice for rigorously accounting for important spatiotemporal variations and uncertainties related to exposures and effect. Within the framework of the random field theory, the Bayesian maximum entropy model neatly synthesizes various sources of physical and epidemiological knowledge into spatiotemporal analysis. Therefore, unlike technical statistics, this approach relies on the blending of substantive physical knowledge with powerful mathematical techniques and a coherent rationale. Given the well-founded fact that certain health effects may be caused by environmental exposures, the significance of these exposures is assessed in terms of a criterion that is based on the joint stochastic representation of exposure and health-effect distributions in space/time. In view of this criterion, the strength and consistency of the exposure-effect association are evaluated on the basis of the health-effect predictions that the combined physico-epidemiologic analysis generates in space/time. The main features of the approach are demonstrated by a simulation example and a real case study involving mortality and cold temperatures in North Carolina. The studies demonstrated the practical usefulness of the stochastic human exposure analysis in assessing the exposure-effect association. The results reported here emphasize the links between spatiotemporal models of physical systems and population health-effect distributions, thus suggesting directions for improving the current understanding of quantitative "exposure-health effect" functions.

Cold Temperature↗

PubMed1998

Patterns of density dependence in measles dynamics.

An important question in metapopulation dynamics is the influence of external perturbations on the population's long-term dynamic behaviour. In this paper we address the question of how spatiotemporal variations in demographic parameters affect the dynamics of measles populations in England and Wales. Specifically, we use nonparametric statistical methods to analyse how birth rate and population size modulate the negative density dependence between successive epidemics as well as their periodicity. For the observed spatiotemporal data from 60 cities, and for simulated model data, the demographic variables act as bifurcation parameters on the joint density of the trade-off between successive epidemics. For increasing population size, a transition occurs from an irregular unpredictable pattern in small communities towards a regular, predictable endemic pattern in large places. Variations in the birth rate parameter lead to a bifurcation from annual towards biennial cyclicity in both observed data and model data.

Disease Outbreaks↗

PubMed2004

Measles metapopulation dynamics: a gravity model for epidemiological coupling and dynamics.

Infectious diseases provide a particularly clear illustration of the spatiotemporal underpinnings of consumer-resource dynamics. The paradigm is provided by extremely contagious, acute, immunizing childhood infections. Partially synchronized, unstable oscillations are punctuated by local extinctions. This, in turn, can result in spatial differentiation in the timing of epidemics and, depending on the nature of spatial contagion, may result in traveling waves. Measles epidemics are one of a few systems documented well enough to reveal all of these properties and how they are affected by spatiotemporal variations in population structure and demography. On the basis of a gravity coupling model and a time series susceptible-infected-recovered (TSIR) model for local dynamics, we propose a metapopulation model for regional measles dynamics. The model can capture all the major spatiotemporal properties in prevaccination epidemics of measles in England and Wales.

Demography↗

PubMed2005

Time-specific ecological niche modeling predicts spatial dynamics of vector insects and human dengue cases.

Numerous human diseases-malaria, dengue, yellow fever and leishmaniasis, to name a few-are transmitted by insect vectors with brief life cycles and biting activity that varies in both space and time. Although the general geographic distributions of these epidemiologically important species are known, the spatiotemporal variation in their emergence and activity remains poorly understood. We used ecological niche modeling via a genetic algorithm to produce time-specific predictive models of monthly distributions of Aedes aegypti in Mexico in 1995. Significant predictions of monthly mosquito activity and distributions indicate that predicting spatiotemporal dynamics of disease vector species is feasible; significant coincidence with human cases of dengue indicate that these dynamics probably translate directly into transmission of dengue virus to humans. This approach provides new potential for optimizing use of resources for disease prevention and remediation via automated forecasting of disease transmission risk.

Aedes↗

PubMed2005

Regulating the regulator: the control of auxin transport.

With the discovery of the phytohormone auxin in the late 1920s, it became possible to link the regulation of complex plant growth responses to a single biologically active compound. Among all the plant growth regulators characterised so far, only auxin appears to be actively transported throughout the plant to create complex variations in concentration patterns and flow directions over time. This stimulated interest in the specific mechanisms underlying auxin transport as key factors in plant growth responses. Research in the last decade revealed several genes involved in the controlled transport of auxin and greatly improved our understanding of the basic principles of auxin-mediated responses. We are at this point, however, only starting to understand the complex interplay and control of factors that ultimately underlie the observed spatiotemporal variations in auxin transport and thus mediate plant growth and environmental responses. This review highlights important findings that provide us with a framework of molecular players and potential regulatory mechanisms that should contribute to the formulation of a comprehensive dynamic model of spatiotemporal auxin distribution.

Biological Transport↗

PubMed1998

Movement quality in preterm infants prior to term.

Quality of spontaneous movement behavior (fluency, spatio-temporal variation and sequencing) was studied from birth to term in high-risk preterm (n = 18), low-risk preterm (n = 18) and term (n = 20) infants. Cranial ultrasonography was performed during the first week of life and the child's general health was considered. The results were as follows: (1) In their first week of life, preterm infants displayed lower scores on all quality parameters when compared to term infants (p < 0.001). (2) Quality of spatiotemporal variation and sequencing decreased up to term (p < 0.01). These findings could be attributed to maturational differences, too early exposure to an extrauterine environment, and cerebral lesions.

Aging↗

PubMed1995

High frequency (gamma-band) oscillating potentials in rat somatosensory and auditory cortex.

An 8 x 8 multichannel electrode array was used to record epipial field potentials, spontaneous gamma oscillations, and the interaction between single trial evoked potentials and ongoing gamma activity in rat somatosensory and auditory Cortex. Array placement over both these cortical regions was verified using cytochrome oxidase histochemistry. Replicating earlier findings, the epipial middle latency auditory and somatosensory evoked potentials (MAEP and MSEP, respectively) consisted of a stereotyped pattern of activation characterized by a spatially confined biphasic sharp wave followed by more diffuse slow wave components whose areal distribution adhered closely to established boundaries of primary and secondary sensory cortex. Spontaneous gamma activity, while exhibiting far more spatiotemporal variation, was also centered on primary and secondary sensory cortex and was significantly attenuated at intercalated dysgranular regions. A modality specificity of gamma activity was also demonstrated in the present study, where spindles occurred independently in auditory and somatosensory cortex. Furthermore, following presentation of a single click or vibrissal displacement, spontaneous gamma activity was suppressed and subsequently enhanced only in the modality stimulated. We conclude that in the lightly anesthetized rodent, spontaneous gamma oscillations are not a global neocortical phenomena, but are instead restricted to the same areas of sensory cortex participating in evoked potentials. However, unlike the MAEP and MSEP which are dominated by systematic activation of parallel thalamocortical projections, the marked spatiotemporal variability of gamma spindles suggests a more complex neurogenesis, probably including dominant contributions from intracortical neural circuitry.

Animals↗

PubMed2006

Systems analysis of PKA-mediated phosphorylation gradients in live cardiac myocytes.

Compartmentation and dynamics of cAMP and PKA signaling are important determinants of specificity among cAMP's myriad cellular roles. Both cardiac inotropy and the progression of heart disease are affected by spatiotemporal variations in cAMP/PKA signaling, yet the dynamic patterns of PKA-mediated phosphorylation that influence differential responses to agonists have not been characterized. We performed live-cell imaging and systems modeling of PKA-mediated phosphorylation in neonatal cardiac myocytes in response to G-protein coupled receptor stimuli and UV photolysis of "caged" cAMP. cAMP accumulation was rate-limiting in PKA-mediated phosphorylation downstream of the beta-adrenergic receptor. Prostaglandin E1 stimulated higher PKA activity in the cytosol than at the sarcolemma, whereas isoproterenol triggered faster sarcolemmal responses than cytosolic, likely due to restricted cAMP diffusion from submembrane compartments. Localized UV photolysis of caged cAMP triggered gradients of PKA-mediated phosphorylation, enhanced by phosphodiesterase activity and PKA-mediated buffering of cAMP. These findings indicate that combining live-cell FRET imaging and mechanistic computational models can provide quantitative understanding of spatiotemporal signaling.

Animals↗

PubMed2002

Variation in organochlorine bioaccumulation by a predatory fish; gender, geography, and data analysis methods.

SigmaPCB and p,p'-DDE levels within and among walleye (Stizostedion vitreum) populations were examined to determine how the method of data analysis could influence the interpretation of (i) gender differences and (ii) geographic variation. In the lower Great Lakes (Huron, Erie, and Ontario) whole-body burdens of both contaminants tended to increase with body mass at a faster rate in males than in females. Thus, males generally had higher burdens than females at large body sizes but not at small body sizes. This result was not strongly influenced by the method of expressing contaminant level (burden, wet mass concentration, or lipid mass concentration) but was influenced by the choice of covariate (body mass, body length, or age) in some cases. Mean sigmaPCB and p,p'-DDE concentrations of walleye muscle declined along a gradient from the lower Great Lakes to the Northwest Territories. Analyses using means adjusted for age yielded a stronger contrast between Great Lakes and non-Great Lakes populations than analyses using means adjusted for body length. The gender composition of fish samples and the type and level of covariate used in statistical analyses should be considered in studies of spatiotemporal variation in organochlorine bioaccumulation in fish.

Animals↗

PubMedDate not supplied

Application of mathematical tools for metabolic design of microbial ethanol production.

Many attempts to engineer cellular metabolism have failed due to the complexity of cellular functions. Mathematical and computational methods are needed that can organize the available experimental information, and provide insight and guidance for successful metabolic engineering. Two such methods are reviewed here. Both methods employ a (log)linear kinetic model of metabolism that is constructed based on enzyme kinetics characteristics. The first method allows the description of the dynamic responses of metabolic systems subject to spatiotemporal variations in their parameters. The second method considers the product-oriented, constrained optimization of metabolic reaction networks using mixed-integer linear programming methods. The optimization framework is used in order to identify the combinations of the metabolic characteristics of the glycolytic enzymes from yeast and bacteria that will maximize ethanol production. The methods are also applied to the design of microbial ethanol production metabolism. The results of the calculations are in qualitative agreement with experimental data presented here. Experiments and calculations suggest that, in resting Escherichia coli cells, ethanol production and glucose uptake rates can be increased by 30% and 20%, respectively, by overexpression of a deregulated pyruvate kinase, while increase in phosphofructokinase expression levels has no effect on ethanol production and glucose uptake rates.

Bacteriological Techniques↗

PubMed1994

Implications of motion detection for early non-linearities.

Analysis of motion may be accomplished using the spatiotemporal variations produced when a spatially varying luminance waveform moves across linear receptive fields. Moving contrast-modulated patterns which consist of coarse-scale spatial variations in the contrast of fine-scale luminance patterns cannot be analysed in this way. The human visual system can analyse the motion of contrast-modulated patterns and this suggests it may contain mechanisms that use non-linear transformations. Non-linear transformation of contrast-modulated patterns would give rise to a component (a distortion product) that varies on the same spatial scale as the contrast variation; this can be analysed to extract motion. Is the non-linearity simply an inherent part of the transduction process or is it a characteristic of a mechanism specialized for the analysis of the motion of such patterns? Comparisons of the spatial and temporal limitations of motion discrimination using luminance and contrast-modulated patterns suggest that the mechanisms which analyse the two types of patterns are different, although recent physiological evidence suggests that they may have common elements.

Animals↗

PubMed1997

Pattern formation and spatiotemporal irregularity in a model for macrophage-tumour interactions.

Solid tumours do not develop as a homogeneous mass of mutant cells, rather, they grow in tandem with normal tissue cells initially present, and may also recruit other cell types including lymphatic and endothelial cells. Many solid tumours contain a high proportion of macrophages, a type of white blood cell which can have a variety of effects upon the tumour, leading to a delicate balance between growth promotion and inhibition. In this paper we present a brief review of the main properties and interactions of such tumour-associated macrophages, leading to a description of a mathematical model for the spatial interactions of macrophages, tumour cells and normal tissue cells, focusing on the ability of macrophages to kill mutant cells. Analysis of the homogeneous steady states shows that, for this model, normal tissue is unstable to the introduction of mutant cells despite such an immune response, but that the composition of the resulting tumour can be significantly altered. Including random cell movement and chemical diffusion, we demonstrate the existence of travelling wave solutions connecting the normal tissue and tumour steady states, corresponding to a growing tumour, and of the development of a spatial instability behind the wave front. Numerical solutions are illustrated in one and two dimensions. We go on to estimate macrophage motility parameters using data from Boyden chamber experiments. We then extend our model to include macrophage chemotaxis, that is, their directed movement in response to gradients of chemicals secreted by tumours. Solutions in one dimension indicate the possibility of spatiotemporal irregularities within the growing tumour, which are deduced to be the result of a series of bifurcations as the effective domain length increases, leading to a permanently transient solution. These results suggest that tumour heterogeneity may arise, in part, as a natural consequence of the macrophage infiltration. Recent experiments suggest that macrophages may indeed be involved in spatiotemporal variations within some human tumours.

Cell Movement↗

PubMed1998

An evaluation of linear model analysis techniques for processing images of microcirculation activity.

Sequences of images of the cortical surface can be processed to reveal information about the cortical microcirculation, regional cerebral blood flow (rCBF), and changes induced by neuronal activity. This study examined the use of different analysis methodologies on intrinsic optical images taken from rat sensory motor cortex and testes. Generalized linear model (GLM) analysis was used and compared with standard signal processing methods including principal component analysis. The GLM method has been used by Friston et al. (1994, Hum. Brain Map., 1: 214-220) in the analysis of functional magnetic resonance imagery to identify regions of focal activity. We investigated the use of this method to analyze video image data of the modulation of rCBF from rat cortex. The results revealed spatiotemporal variations in rCBF in response to stimulation within local regions of cortex. The advantage of the GLM method is that it augments ordinary signal processing methods with an estimate of statistical reliability. The use of different wavelengths of illumination reveals spatial structures with different temporal relationships. In image time series data collected under green and red illumination a phase difference was found in the low frequency approximately 0.1 Hz vasomotion oscillation. This phase difference occurred in data from both cortex and testes. A possible explanation of these differences is that the spectral absorption characteristics of the tissue reflect changes in the volume proportions of the different hemoglobin derivatives in interacting with the modulation of the volume of blood. It is suggested that the combination of these effects produces the phase differences we detect.

Animals↗

PubMed1994

Analysis, classification, and coding of multielectrode spike trains with hidden Markov models.

It is shown that hidden Markov models (HMMs) are a powerful tool in the analysis of multielectrode data. This is demonstrated for a 30-electrode measurement of neuronal spike activity in the monkey's visual cortex during the application of different visual stimuli. HMMs with optimized parameters code the information contained in the spatiotemporal discharge patterns as a probabilistic function of a Markov process and thus provide abstract dynamical models of the pattern-generating process. We compare HMMs obtained from vector-quantized data with models in which parametrized output processes such as multivariate Poisson or binomial distributions are assumed. In the latter cases the visual stimuli are recognized at rates of more than 90% from the neuronal spike patterns. An analysis of the models obtained reveals important aspects of the coding of information in the brain. For example, we identify relevant time scales and characterize the degree and nature of the spatiotemporal variations on these scales.

Animals↗

PubMed2001

Spatiotemporal Stability of an Ammonia-Oxidizing Community in a Nitrogen-Saturated Forest Soil.

Elevated levels of nitrogen input into various terrestrial environments in recent decades have led to increases in soil nitrate production and leaching. However, nitrifying potential and nitrifying activity tend to be highly variable over space and time, making broad-scale estimates of nitrate production difficult. This study investigates whether the high spatiotemporal variation in nitrate production might be explained by differences in the structure of ammonia-oxidizing bacterial communities in nitrogen-saturated coniferous forest soils. The diversity of ammonia-oxidizing bacteria of the b-subgroup Proteobacteria was therefore investigated using two different PCR-based approaches. The first targeted the 16S rRNA gene and involved temporal temperature gradient electrophoresis (TTGE) of specifically amplified PCR products, with subsequent band excision and nucleotide sequence determination. The second approach involved the cloning and sequencing of PCR-amplified amoA gene fragments. All recovered 16S rDNA sequences were closely related to the culture strain Nitrosospira sp. AHB1, which was isolated from an acid soil and is affiliated with Nitrosospira cluster 2, a sequence group previously shown to be associated with acid environments. All amoA-like sequences also showed a close affinity with this acid-tolerant Nitrosospira strain, although greater sequence variation could be detected in the amoA analysis. The ammonia-oxidizing bacterial community in the nitrogen-saturated coniferous forest soil was determined to be very stable, showing little variation between different organic layers and throughout the year, despite large differences in the total Bacterial community structure as determined by 16S rDNA DGGE community fingerprinting. These results suggest that environmental heterogeneity affecting ammonia oxidizer numbers and activity, and not ammonia oxidizer community structure, is chiefly responsible for spatial and temporal variation in nitrate production in these acid forest soils.

Journal Article↗

PubMed2006

Polarization contrast and motion detection.

Form and motion perception rely upon the visual system's capacity to segment the visual scene based upon local differences in luminance or wavelength. It is not clear if polarization contrast is a sufficient basis for motion detection. Here we show that crayfish optomotor responses elicited by the motion of images derived from spatiotemporal variations in e-vector angles are comparable to contrast-elicited responses. Response magnitude increases with the difference in e-vector angles in adjacent segments of the scene and with the degree of polarization but the response is relatively insensitive to the absolute values of e-vector angles that compose the stimulus. The results indicate that polarization contrast can support visual motion detection.

Animals↗

PubMed1996

Manganese and other trace elements in urban snow near an expressway.

The Mn contamination arising from the combustion of MMT (methylcyclopentadienyl manganese tricarbonyl) in unleaded gasoline was assessed using snow collected at different distances 15, 25, 125 and 150 m from an expressway (Montreal, Canada) in February 1993. The snow samples were analyzed by atomic absorption and by neutron activation for total Mn, Mg, Cu, V, Al, Zn, Fe, Na, and Ca concentrations in the soluble (<0.4 microm) and particulate fractions. ANOVA with ranked values was performed to compare element concentrations and soluble/particulate ratios among receptor sites and depths. Principal component analysis was used to describe the spatiotemporal variations of the deposition rates and the influence of meteorological factors. The average concentration of all trace elements, except Mg, Cu, and V, decreased significantly (p<0.05) from receptor sites near the road (15-25 m) to those farther away (125-150 m). The deposition rates of all metals and ions, except Cu, were highly positively correlated (tau = 0.5-0.9) with each other and inversely correlated with snowfalls. Wind frequency showed no correlation with deposition rate. The spatial trend was similar for all these elements making it difficult to distinguish Mn arising from the combustion of MMT from that due to other sources, such as road dust. Only the soluble/particulate ratio calculated for Mn seemed higher than that for the other metals, which might be explained by the particle size of Mn from MMT (0.2-0.4 microm). The present study only indicates a direct contamination of the snow by road activities and substantial deposition of trace elements near the roadway; no clear link can be established between motor vehicle emissions and the concentration of Mn in snow.

Journal Article↗