Google said that some businesses in the U.S. are already benefiting
from RCS, but that it will bring the functionality to businesses in more regions in the future.
The app will be found preloaded on devices
from RCS supported carriers, but can also be downloaded and updated from the Google Play Store on any Android device.
It's interesting (for someone who has not looked into details of the two methods, RCS and splines) that they both seem to produce exactly the same output, but with the RCS version suppressing the output at the start and amplifying it towards the end (or vice versa if one looks at
it from the RCS point of view).
We did have one dividend reduction
from RCS.
Importantly, akin to HESC - RPE in vivo, cells at the outside edge of the iPS - RPE cell bolus could phagocytose photoreceptor outer segments
from the RCS rat, as indicated by the presence of rhodopsin - positive photoreceptor material within the cellular membrane of iPS - RPE labelled with HSM (Fig. 5E).
sorry off topic but i can not resist below is a comment
from the rc blog headed the IPCC is not fallible read and enjoy # 27 I've said it before and I'll say it again, all this fixation on get - it - right, got - it - wrong is obscuring the real issue: the truth is what we define it to be, and the truth is that mankind is a scourge on the planet.
Not exact matches
rc's post is an excellent example of what happens when you purposefully choose to be ignorant about science, and instead get your «sciency» sounding information
from the «Pastor Dave's» of the world.
Scientists almost always think they need more money for research, so a report today
from England's Royal College of Surgeons (
RCS) isn't a big surprise in that regard.
«The early universe must have had a density even closer to the critical density [
rc], departing
from it by one part in 1062 or less.»
Further sham - operated
RCS rats
from separate, concurrent studies [42], [43] were available for comparison and yielded similar results (these animals were not included in the present study).
RPE cells derived
from HESC show long - term viability in vivo, since in a previous study we have shown that HESC - derived RPE can survive in the
RCS subretinal space for up to 10 weeks [9], whilst a recent study has indicated survival of cells for up to 30 weeks [59].
Primary Goods Inspectors Buckles
from Iberville, likes to spend some time gardening, how to travel alone and
rc model.
This report summarizes information
from Research fo Action's evaluation of the second year of the Reduced Class Size / Balanced Literacy (
RCS / EBL) Initiative, provides two case studies of elementary classrooms where the initiative was being implemented, and a summary of survey results about participation, opinions and attidutes of PEF Balanced Literacy interns.
In this presentation, he talks about these projects, what
RCS Libri is learning
from them, and how he sees them as «the beginning of our digital publishing evolution.»
The 2018 Retirement Confidence Survey (
RCS)
from the Employee Benefit Research Institute (EBRI) revealed retirees» confidence in their ability to live comfortably in retirement remains higher than employees» confidence, with 32 % of retirees very confident and 44 % somewhat confident.
A total of 49 cultivable isolates, belonging to 27 different microbial species and 18 different genera, were recovered
from the 27
RCs sampled.
RCS = Regional Curve Standardization (method for processing tree ring data
from different trees)
In many cases, the tool code has been rewritten (like SCCS = >
RCS = > CVS, for example, and the current make's have evolved
from Stu's original), but we know where the ideas came
from.
The reconstruction was based on a composite of tree ring annual ring width series
from boreal and alpine treeline sites across the northern hemisphere, and made use of a very conservative («
RCS») tree - ring standardization procedure designed to preserve as much low - frequency climatic information as possible.
As I understand what Ed, Keith and Hal Fritts have written at various times about
RCS, and
from my own limited experience with the method, it is extremely important to have strong replication, and I don't see 50 - 70 samples probably
from 25 - 35 trees as a big sample.
I differ
from Ed, and his co-authors, in believing that these problems have a special significance for the particular implementation of
RCS they used, in the light of one of their conclusions that depends heavily on that implementation.
Previous analyses of Coppermine and Thelon ring - width data, in combination with ring width data
from 2 other sites in the western NWT (R. Wilson unpublished report, 2005; D'Arrigo et al., 2006) revealed that the Regional Curve Standardization (
RCS) method, a potentially useful technique for retaining centennial - scale climatic trends in tree rings (Briffa et al., 1992; Cook et al., 1995; Esper et al., 2002), did not appear to preserve any additional low - frequency information at these sites when compared to more traditional techniques.
RCS (red) and STD (black) chronologies calculated (SM)
from measurement (rwl) data archived in 2014 for Coppermine River (left) and Thelon River (right).
Curiously, in this case, the purported justification appears incorrect based on the appearance of the
RCS and STD chronologies in Figure 1, in which the
RCS chronologies appear to have more low - frequency variability than the STD chronologies (though this could arise
from site inhomogeneity as well.)
The
RCS series (red) have somewhat more low - frequency variability (but in
RCS, such variability can arise
from site inhomogeneity as well as temporal change.)
The first problem arises because
RCS detrending removes the average slope (derived
from the data for all trees)
from each individual tree measurement series.
So, MrPete, are you going to clearly state that
RCS analysis was only developed and is only applied to «cool down» paleoclimate reconstructions
from tree rings?
In the latter series I simply used the (TRW1 - TRW2) / -LRB-(TRW1 + TRW2) / 2) in order to remove any residual effects
from using a standardization method, such
RCS, and at the same time normalize for the slower growing older tree rings..
Tell me why the
RCS from the entire collection says anything about the behaviour of the early years of those same modern trees.
Including samples
from different biological - growth populations in one
RCS run could bias the resultant chronologies thus affecting interpretation of climate made
from the resulting chronologies., HOwever, opportunities to test the data for the existence of different populations are limited.,,
This dilemma originates
from the condition that the
RCS requires only one RC for all the series then calculates anomalies form this one function for each single series.
Of course, you could fit a fixed form
RCS function (the «time - varying» spline would not work here), but then any deviation of the actual growth function of the real trees
from the hypothesized one would appear as a false climate «signal» causing a bias in the estimates.
I have been playing with various tree ring age groups using the Steve M emulated
RCS algorithm and found that the group with tree ring ages less than 99 years does not converge even when I increased the number of iterations (maxiter)
from 200 to 400.
RCS) in the file which matches the time period of the data we have been using -LRB--202 to 1996) supposedly calculated
from that data using the
RCS methodology?
From my understanding,
RCS can not make that distinction.
from: Esper, Cook, Krusic, Peters, and Schweingruber, «Tests of the
RCS Method for Preserving Low Frequency Variability in Long Tree Ring Chronologies; Tree Ring Research; Vol.
shows how
RCS creates a hockey stick (complete with LIA)
from no signal.
The other aspect of this post, which is to look at the
RCS average curve for subsets of the data, and then express surprise when differences are found, completely misses the point of the
RCS method in the first place which is to first remove the common growth - related signal
from the entire series before looking at any environmental influence.
Now a new, better method should obviously perform similarly to
RCS under stated ideal conditions, but be robust to deviations
from those.
Obviously if the intent of
RCS is to remove the age - related bias
from tree ring measurements, then this adjustment applied to the (presumably few) number of old trees in the 1978 - 1996 category is producing the opposite effect.
esper et al continue: «The
RCS method can be used on LARGE three ring collections
from different regions if all series are
from the same biological - growth population.
I'm not sure how the year effects compare with the
RCS chronology but the endpoint is significantly different
from zero (that is, the ring width in year = 1000).
Problems which arise in the
RCS method
from the use of mean ring width at a specific ring age to estimate the growth rates of trees are discussed in detail in Chapter 5.
A recently introduced approach, using the Regional Curve Standardisation (
RCS) method (Briffa et al. 1992a), has the ability to preserve longer - timescale variance in the signal of interest
from multiple series of tree measures, but the method has specific limitations, most notably by the requirement for large numbers of sub-fossil trees and in the need for
Including samples
from different «biological growth» populations in one
RCS run could bias the resulting chronologies (e.g. TRW in Figure 8C) thus affecting interpretations of climate made
from resulting chronologies.
A recently introduced approach, using the Regional Curve Standardisation (
RCS) method (Briffa et al. 1992a), has the ability to preserve longer - timescale variance in the signal of interest
from multiple series of tree measures, but the method has specific limitations, most notably by the requirement for large numbers of sub-fossil trees and in the need for careful sample selection.
Hopefully I can answer my own question, as Rob Wilson said in the Yamal substitution thread, he included Yamal
RCS along with Polar Urals because it had a slightly better correlation with local temperature (his calculations were a little different
from Steve's).
RCS sequences are
from the Coumn.prn file on this web page.
DO emulates McIntyre's combination of Briffa's original Yamal site data with the modern, relatively short series
from Khadyta, and obtains the following chart, using a standard implementation of
RCS (Regional Curve Standardization).
R is tested against a critical R (
Rc) obtained
from c2N - 1, a / (N - 1).