Sentences with phrase «variable mean level»

Not exact matches

«As an archaeologist who studies Arctic and Subarctic coastal peoples, erosion associated with intense storm activity, loss of permafrost, rising sea levels, and increasing human activity is devastating to comprehend; however, this study not only documents those processes, but provides a means to examine their highly variable impacts that, hopefully, can lead to constructive ways to prioritize research and mitigate destructive processes in this extremely important region.»
Now I will say that if someone is really deconditioned and can't handle higher intensity exercise routines just yet, this still doesn't mean that they can't simply use lower intensity routines, but still use it in a «variable intensity» fashion, by alternating between higher and lower exertion levels throughout the workout.
Greater numbers of plant species in ruderal based environments were found in equatorial areas where the level of water (represented by mean annual precipitation) related variables are high, whereas competitive and stress tolerant based plant environments were found in locations where energy (represented by mean annual temperature) are expressed with greater weight acting on the distribution.
It includes the following classroom - level variables: school year and grade indicators, class - type indicators (honors, remedial), class size, indicators for teacher experience, and cubics in class and school - grade means of lagged test scores in math and English each interacted with grade.
The fact of the matter is is that all states have essentially the same school level data (i.e., very similar test scores by students over time, links to teachers, and series of typically dichotomous / binary variables meant to capture things like special education status, English language status, free - and - reduced lunch eligibility, etc.).
MINI ALL4 distributes drive power at continuously variable levels between the front and rear axle by means of an electromagnetic centre differential and is available for all model variants.
While the much lower level of performance doesn't kill the experience by any means, having the brief moments of 60 fps gameplay regularly disrupted by variable and extended frame - rate drops completely changes the core feel of the experience, making it feel less like a Call of Duty game.
That abrupt climate change happens, things like Younger Dryas happen, doesn't mean that the system is completely chaotic and trying to assign probabilities at all levels for all variables is a worthless exercise.
Other climate or climate - related variables of importance may include CO2 concentration, sea - ice extent, mean sea level pressure, sea level, and storm surge frequencies.
I don't mean to step on Michael Tobis» toes, but the level of CO2 has always so far as the various ice core and like data strongly suggest (above 99.5 % with consilience) been seasonally variable over land due to interaction of plants and temperature as proven by NH / SH trends, just as it is diurnally variable due to photosynthesis.
library (ncdf) ncep500 = open.ncdf («NCEP.nc») ncep500 [1] «file NCEP.nc has 4 dimensions:» [1] «lat Size: 73» [1] «level Size: 1» [1] «lon Size: 144» [1] «time Size: 361» [1] «----------------» [1] «file NCEP.nc has 1 variables:» [1] «short shum [lon, lat, level, time] Longname: Monthly Mean of Specific Humidity Missval: 32766 ″ nc500 = get.var.ncdf (ncep500) dim (nc500)[1] 144 73 361 nc25SN = nc500 -LSB-, mean (c (27:47)-RRB-,] dim (nc25SN)[1] 144 361 SN25 = colMeans (nc25SN) x = 1:361 lmSN25 = lm (SN25 ~ x) summary (lmSN25) acf (residuals (lmSN25)-RRB- $ acf [2][1] 0.5715495 plot (x, SN25, type =» b», main =» Specific Humidity 25S to 25N from 01/1979 to 01/2009 ″, xlab = «Months Starting at 01/1979 ″, ylab =» Secific Humidity», col =» dark red»)
«SEAFRAME gauges not only measure sea level by two independent means, but also observe a number of «ancillary» variables - atmospheric pressure, air and water temperatures, wind speed and direction.
Sea level rise is highly variable about the mean level due to the hydrological cycle.
The p values using the nine climate variables (denoted as «Overall» in Table 4) of MMEs are larger than the threshold (0.05, significant level = 5 %), which means that, according to this analysis, these ensembles have not been shown to be unreliable.
The space - time structure of natural climate variability needed to determine the optimal fingerprint pattern and the resultant signal - to - noise ratio of the detection variable is estimated from several multi-century control simulations with different CGCMs and from instrumental data over the last 136 y. Applying the combined greenhouse gas - plus - aerosol fingerprint in the same way as the greenhouse gas only fingerprint in a previous work, the recent 30 - y trends (1966 — 1995) of annual mean near surface temperature are again found to represent a significant climate change at the 97.5 % confidence level.
107 Figure 2, which is based on Models 2 and 3 in Table 4, was derived similarly to Figure 1 by setting continuous variables to their mean values, dichotomous variables to their modal levels, and ordered variables to their median values, as well as varying the readability score variable from -3 to 3, which is the approximate range of values in our dataset.
Permanent life insurance plans such as whole, universal, or variable try to level out premiums, which means you will pay higher premiums up - front to reduce what would have been exorbitant premiums passed on after age 60 under a non-level term life policy.
This is explained by the fact that there was a stable mean level over the years in the SET group and a quite variable one in the No - SET group, which ends up only slightly higher than the SET group at t5.
Additional Level 2 predictors (sex, race, age, length of time on ESRD treatment, length of time married, number of own health conditions; last four variables all grand mean centered) were assessed.
Within this generation of research, gender has either been commonly treated as a nuisance variable that is statistically controlled, pooled in primary analyses, or eliminated by design (e.g., exclusive focus on boys)(Davies & Windle, 1997; Johnson & O'Leary, 1987), or examined as a main effect (e.g., examining mean differences between boys and girls in the levels of exposure to interparental conflict).
For most of the variables, CU levels and ODD had an independent effect cross-sectionally and longitudinally (only one interaction was significant), which means that both conditions merit independent clinical attention.
As follow - up depressive symptom (Time T) scores are a within - subject variable, such scores were centered at each participant's mean such that scores reflect upwards or downwards fluctuations in an individual's level of depressive symptoms compared to his or her mean level of symptoms.
Prior to specifying the within - person part of the two - level path model, we person - mean centered the level 1 predictor variables (i.e., workload and squared workload) at an employee's individual mean to eliminate between - person variance (Hofmann et al., 2000).
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