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).