Accurate stories rarely reached more than 1,000 people, yet the most prominent false-news items routinely reached between 1,000 and 100,000 people. Political news, in particular, spread more than three times faster than tweets about terrorism, natural disasters, science, urban legends or financial information.
The faster warming rate in the Arctic compared to the globe as a whole is nowadays considered a robust fact. The phenomenon, called Arctic or polar amplification (AA), can be seen in both instrumental observations1,2,3 and climate models4 as well as in paleoclimate proxy records5.
During the last decade, multiple factors have been proposed to explain the potential causes of AA: enhanced oceanic heating and ice-albedo feedback due diminishing sea ice6,7,8,9, Planck feedback10, lapse-rate feedback11, near-surface air temperature inversion12, cloud feedback13, ocean heat transport14 and meridional atmospheric moisture transport15,16,17. Furthermore, the reduced air pollution in Europe may have contributed to the Arctic warming during the last decades18,19, and possible reductions of Asian aerosols under a strong mitigation policy may increase the future AA20. In climate models, it has been shown21 that AA occurs rapidly in response to external forcings due to atmospheric lapse rate feedback, with sea ice-related feedbacks becoming more important later on. A recent study22 reported a stronger future AA in a low than a high-emission scenario due to the faster melting of sea ice and weaker ice-albedo feedback.
When the temperature trends shown in Fig. 1b are divided by the multi-dataset global mean temperature trend at each grid-point, we get the spatial map of 43-year local Arctic amplification (AA43), or simply local amplification when calculated for areas south of the Arctic circle (Fig. 1c). Values higher than one indicate that those regions are warming faster than the global average, while values below one correspondingly indicate a slower warming. The AA43 maps for individual observational datasets are provided in the Supplementary Fig. S3.
By considering the seasonality of AA (Fig. 5), we see that AA is the strongest in the late autumn (November) and the weakest in the warm season (July). This is consistent in both CMIP6 models and the observations, and in line with the earlier study conducted with ERA-Interim reanalysis data and CMIP5 models8. Thus, over the past 43 years, the October-December months in the Arctic have warmed five times faster than the globe, while the warming ratio is close to two in June-August (Fig. 5). The stronger AA in late autumn arises from the newly opened water areas that act to enhance upwelling longwave radiation and turbulent fluxes of sensible and latent heat from the sea into the atmosphere8.
But in my testing, an explicit lookup table was slightly faster than this, probably because indexing into a lookup table was slightly faster than bit shifting. This shows how my code sets up and uses the lookup table (unimaginatively called lut for "LookUp Table" in the code). Here's the C++ code:
If the array is sorted, your condition is false at the first step: data[c] >= 128, then becomes a true value for the whole way to the end of the street. That's how you get to the end of the logic faster. On the other hand, using an unsorted array, you need a lot of turning and processing which make your code run slower for sure...
siphash13 is added as a new internal hashing algorithm.It has similar security properties as siphash24,but it is slightly faster for long inputs.str, bytes, and some other typesnow use it as the default algorithm for hash().PEP 552 hash-based .pyc filesnow use siphash13 too.(Contributed by Inada Naoki in bpo-29410.)
Integer division (//) is better tuned for optimization by compilers.It is now around 20% faster on x86-64 when dividing an intby a value smaller than 2**30.(Contributed by Gregory P. Smith and Tim Peters in gh-90564.)
CPython 3.11 is an average of25% fasterthan CPython 3.10 as measured with thepyperformance benchmark suite,when compiled with GCC on Ubuntu Linux.Depending on your workload, the overall speedup could be 10-60%.
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The new residence certificate will allow investors to submit their withholding tax refund request digitally, making the reclaim process faster and smoother. Only one digital tax residence certificate will be needed to reclaim several refunds during a calendar year, avoiding the issuance of multiple certificates of residence in case of an investor with a diversified portfolio in the EU.
The trio argue that the data speak against the rise of the internet as a major cause of political polarization because all nine countries have seen a pronounced rise in internet use, but not all of them have seen a rise in polarization. The conclusion is consistent with other studies they have conducted, including one in 2018 that cast doubt on the hypothesized role of the web in the 2016 U.S. presidential election and another in 2017 that concluded greater internet use among Americans is not associated with faster growth in polarization.
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