High Tail Hall 2012 Full 39

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mRNA is also being explored for delivery of full IgG mAbs or scaffolds, including engineered bispecific antibody fragments, and addresses pharmacokinetic (e.g., short half-life, fast clearance) as well as manufacturing challenges (e.g., aggregates) to accelerate clinical development.

Courts addressing the overlap between EEO laws and rights under RFRA and the Free Exercise Clause have stressed the importance of a nuanced balancing of potential burdens on religious expression, the governmental interests at issue, and how narrowly tailored the challenged government requirements are.[122]

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Sensitivity and precision of algorithms across combinations of sample size and effect size. DESeq2 and edgeR often had the highest sensitivity of those algorithms that controlled the FDR, i.e., those algorithms which fall on or to the left of the vertical black line. For a plot of sensitivity against false positive rate, rather than FDR, see Additional file 1: Figure S8, and for the dependence of sensitivity on the mean of counts, see Additional file 1: Figure S9. Note that EBSeq filters low-count genes (see main text for details).

We get final dispersion estimates from this model in three steps, which implement a computationally fast approximation to a full empirical Bayes treatment. We first use the count data for each gene separately to get preliminary gene-wise dispersion estimates α i gw by maximum-likelihood estimation. Then, we fit the dispersion trend α tr. Finally, we combine the likelihood with the trended prior to get maximum a posteriori (MAP) values as final dispersion estimates. Details for the three steps follow.

Edge computing has emerged as a popular paradigm for running latency-sensitive applications due to its ability to offer lower network latencies to end-users. In this paper, we argue that despite its lower network latency, the resource-constrained nature of the edge can result in higher end-to-end latency, especially at higher utilizations, when compared to cloud data centers. We study this edge performance inversion problem through an analytic comparison of edge and cloud latencies and analyze conditions under which the edge can yield worse performance than the cloud. To verify our analytic results, we conduct a detailed experimental comparison of the edge and the cloud latencies using a realistic application and real cloud workloads. Both our analytical and experimental results show that even at moderate utilizations, the edge queuing delays can offset the benefits of lower network latencies, and even result in performance inversion where running in the cloud would provide superior latencies. We finally discuss practical implications of our results and provide insights into how application designers and service providers should design edge applications and systems to avoid these pitfalls.

The high-resolution image was taken by satellites of the U.S. Earth-observation company Planet on Tuesday (Jan. 24). The calving of the iceberg has nothing to do with climate change, according to experts, and was a result of natural processes that had been underway for over a decade. The iceberg split along a crack known as Chasm-1 that scientists had monitored since 2012. The new fragment, which is now slowly being carried away by the Antarctic Coastal Current, is about 600 square miles (1,550 square kilometers) in size, about as big as the London metropolitan area or little larger than Houston.

According to SpaceWeather.com (opens in new tab), this disruption in the tail is likely caused by turbulent space weather, namely the stronger than usual solar wind that has been released during a recent coronal mass ejection (CME). CMEs are bursts of highly energetic particles emitted from the sun's upper atmosphere, the corona, that travel across the solar system, interfering with the atmospheres of planets and other bodies. 2b1af7f3a8

High Tail Hall 2012 Full 39

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