Sentences with phrase «spatial regions with»

«This approach also allows us to sample over large spatial regions with minimal disturbance to the ecosystem — two important criteria when it comes to studying the vast and delicate Arctic landscape.»

Not exact matches

The technique analyzes the spatial organization of chromatin in a cell and detects all the genomic regions that interact with a particular region of interest.

That kind of spatial coordination could help monitor a wider geographic region with fewer people on the ground — data collected in one area could be applicable to a wide geographic region nearby.

With this new analytical approach, Professor Klaus Lehnertz, head of the Neurophysics Group in the Department of Epileptology at the University of Bonn, and his group explored the temporal and spatial variability of the importance of the brain's different regions.

The hippocampus — a region crucially involved in forming «episodic» memories (event recall) and spatial memory (for physical navigation)-- is especially affected by aging, with accompanying declines in the ability to learn and remember; it also deteriorates early on when afflicted by Alzheimer's.

The information that has to be processed passes these three regions successively like a traffic route with each region processing different spatial information of the environment.

In a 2014 study in rats, researchers at the University of California found that the neurons in a brain region associated with spatial learning behaved completely differently in virtual environments compared to in real ones, with more than half of the neurons shutting down while in VR.

Figure 2 shows the average of the subjects» behavioral performance during spatial learning with unilateral stimulation of the entorhinal region or hippocampus.

Additionally, with Digital Spatial Profiling (DSP), this type of multi-analyte analysis can be mapped to specific regions of interest on an FFPE section.

The objective is to use this knowledge to generate hypotheses about the demographic history of a species, quantify the amount of spatial population substructure within a species, and to identify new regions in the genome showing an excess of genetic differentiation compatible with the presence of selective pressures.

Functional connectivity is typically measured using one of three approaches: (1) regression analysis using a seed region of interest (Greicius et al., 2003; Fox et al., 2005), (2) full or partial correlation analysis of multiple regions of interest (Ryali et al., 2012), or (3) independent component analysis (ICA) of the entire imaging dataset to identify spatial maps with common temporal profiles (Beckmann and Smith, 2004; Cole et al., 2010).

Although it is well established that the Sun's magnetic field is responsible for the supply of energy to the atmosphere, exactly how this magnetic energy is converted into thermal energy is still not understood in detail, as models struggle to simultaneously encompass the very disparate temporal and spatial scales on which the heating has to occur, in different structures, with a wide variety of characteristics (e.g. open versus closed structures, short quiet - sun loops versus hot active - region loops and large - scale interconnecting loops).

Abstract: The X-ray emission from the central region of the Galactic plane, l < 45 deg and b < 0.4 deg, was studied in the 0.7 - 10 keV energy band with a spatial resolution of ~ 3» with the ASCA observatory.

With the Fourier Transform Spectrometer of the AKARI / Far - Infrared Surveyor, we performed the far - infrared (60 - 140 cm ^ -1) spectral mapping of an area of about 10» x 10» which includes the two clusters to obtain a low - resolution (R = 1.2 cm ^ -1) spectrum at every spatial bin o... ▽ More We investigate the properties of interstellar dust in the Galactic center region toward the Arches and Quintuplet clusters.

In order to identify these new X-ray sources, we have carried out a near infrared follow - up observation using ESO / NTT infrared camera on 2002/7/28 an... ▽ More We have carried out a deep X-ray observation on a typical Galactic plane region with the Chandra ACIS - I instrument with unprecedented sensitivity and spatial resolution, and detected 274 unidentified X-ray point sources in the \ ~ 500 arcmin2 region.

This part of the body can be a very difficult region examine with current imaging methods, which also do not provide optimal spatial information important if a surgical procedure is needed.

We know for instance that the temporal / spatial variability in these in - filled regions is different to where there are observations, which need to be thought about when comparing with model variability.

Such models will also need to be able to highlight different regions with increased spatial and temporal detail.

This spatial pattern is consistent with the air temperature — North Atlantic Oscillation (NAO) index correlation pattern, with maximum correlation in the near - Atlantic region, which decays toward the North Pacific.

The equations for Rossby waves (Calculation of the Meridional Wave Number, Physics of the Parameter, and Calculation of the Amplitudes) show that this can occur if a set of necessary conditions are met: u ¯ > 0 in the midlatitude region; the highest value of l within the waveguide is in the range of the meridional wave numbers lm dominantly contributing to the external forcing with a given m, which provides closeness of the k waves to respective m waves not only in terms of the zonal but also the meridional wave numbers, favoring the QRA of the m waves; the total latitudinal width of the waveguide is no less than the characteristic spatial scale of the relevant Airy function (25), which is used as the boundary condition at its southern and northern boundaries; and latitudinal distribution of l is sufficiently smooth in the waveguide, and both TPs lie within a midlatitude region of ∼ 25 ° N — 30 ° N and ∼ 65 ° N − 70 ° N, as the necessary condition for the application of quasilinear Wentzel − Kramers − Brillouin (WKB) method (25) when solving the equations for Rossby waves.

These subcontinental spatial units can be chosen to coincide not only with regions of high observational density but also with spatial domains defined by large - scale climate features.

Spatial sampling uncertainties were estimated by simulating poorly sampled periods (e.g. 1753 to 1850) with modern data (1960 to 2010) for which the Earth coverage was better than 97 % complete, and measuring the departure from the full site average when using only the limited spatial regions available at earlySpatial sampling uncertainties were estimated by simulating poorly sampled periods (e.g. 1753 to 1850) with modern data (1960 to 2010) for which the Earth coverage was better than 97 % complete, and measuring the departure from the full site average when using only the limited spatial regions available at earlyspatial regions available at early times.

«Bias might be introduced in cases where the spatial coverage is not uniform (e.g., of the 24 original chronologies with data back to 1500, half are concentrated in eastern Siberia) but this can be reduced by prior averaging of the chronologies into regional series (as was done in the previous section)... Eight different methods have been used... They produce very similar results for the post-1700 period... They exhibit fairly dramatic differences, however, in the magnitude of multidecadal variability prior to 1700... highlighting the sensitivity of the reconstruction to the methodology used, once the number of regions with data, and the reliability of each regional reconstruction, begin to decrease.

Furthermore, you would also have noticed that by 1500, the spatial coverage included four of the five spatial regions defined with the first appearance of data from the fifth region coming only after 1600.

Even with the generally large spatial coherence and correlation length scales of temperature anomalies at polar latitudes (e.g. Hansen et al. 1999; Chapman and Walsh 2007), none of the reconstruction methods can escape the basic limitation of few in situ observations in West Antarctica, and all exhibit less skill in this region compared with other regions of the continent.

So in the end, what you are left with is chasing phantoms, traveling hither and yonder to regions far from where Brandon Shollenberger lives to try to find fault with something as simple as a spatial interpolation function.

This suggests to me that you're getting spatial smearing from other regions with larger warming trends.

I don't know what role kriging is playing here if any in the apparent spatial smearing seen with BEST for this region of the US, but then I really don't understand their integrated methodology either (the fact the methodology seems to change more rapidly than they can write updates to it doesn't help).

It has been shown, by sampling globally complete data with realistic temporal and spatial variability, that this extrapolation procedure yields a more accurate estimate of annual global temperature than global integration methods that restrict the area to regions very close to observed points.

The spatial distribution of the altimeter sea level trends during 1993 - 2017 shows large - scale variations, with some regions such as the western tropical Pacific Ocean experiencing up to +8 mm / year.

They also find that the primary contribution to storm surges in the region are sea surface height anomalies from the Pacific, with local wind patterns causing small spatial differences in the sea surface height.

It is suggested that gender - specific preferences for object - place and object - region binding were absent at age 10 because unit - based and region based spatial coding may merge like the parallel discrete and continuous number systems which become integrated with age (Feigenson, Dehaene, & Spelke, 2004).

However, a U-shaped development for object - region binding was revealed in boys, with already most of the 6 - year - old boys showing this type of... spatial binding.