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, I think there are only disruptive approaches left.

There is no active user with that ID, so you cannot search by it. The whole point of deleting an account is to make it inaccessible, unreferenced, and unlinked. We're not going to implement "soft" account deletion.

I am currently working with a system presently where every table has a Deleted flag for soft-delete. It is the bane of all existence. It totally breaks relational integrity when a user can "delete" a record from one table, yet children records which FK back to that table are not cascade soft-deleted. Really makes for trash data after time passes.

Now you have something with all of the benefits of soft-deletes but none of the drawbacks:

So, soft delete is better, right? No, not really: Setting up cascades becomes extremely difficult. You almost always end up with what appear to the client as orphaned rows. You only get to track one deletion. What if the row is deleted and undeleted multiple times? Read performance suffers, although this can be mitigated somewhat with partitioning, views, and/or filtered indexes. As hinted at earlier, it may actually be illegal in some scenarios/jurisdictions.

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As Casper’s January IPO filing revealed, scale is all: in 2018 the company lost $92.1 million on revenue of $358 million, spending $126 million on sales and marketing and, according to one calculation, losing $160 on every mattress it sold.

"While we hope that Google will lift these unwarranted sanctions for AdNauseam, it highlights a much more serious problem for Chrome users," the AdNauseam team adds. "It is frightening to think that at any moment Google can quietly make your extensions and data disappear, without so much as a warning."

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AB_367251

Adobe Photoshop

Volocity 6.1 software

RRID:NXR_0

dm-crypt wipe on an empty disk or partition

echo 1 > /sys/block/(whatever)/device/delete

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perfect solution

No one city has gotten it right so far. Many, however, have gotten it wrong, falling for the promises of greater efficiency delivered by startups, of greater creativity delivered by hackathons, and of greater transparency delivered by open government initiatives that, instead of helping to eliminate the corrupt parts of the public sector, provided the rationale for shrinking those that worked rather well. Silicon Valley and the Big Four consulting firms that, between themselves, dominate the smart city market, do not exercise their hegemony effortlessly; it takes a lot of hard work –which manifests itself in endless conferences and expos, commissioned think-tank reports, and regular think pieces –to frame the smart city issue as an inevitable, self-evident, and progressive project. It’s a world where venture capitalists have their own podcasts, write books on political themes, and fund philosophers (and occasional lawsuits). In a world like this, defending the theme of technological sovereignty would require not just practical interventions in the inner workings of our cities but also constant ideological and intellectual work in order to oppose the constant reframing of issues along the lines favorable to big business. Given the high turnover of concepts and narratives supplied to us by Silicon Valley and its resident intellectuals –it’s not just smart city, but also the sharing economy, big data, the internet of things, algorithmic regulation, Web 2.0 –the very idea of technological sovereignty is likely to be soon twisted into something it should not be.

Despite the incessant celebration of citiesas the most important actors of the global system, with celebrity mayors rising to rulethe world and soon, perhaps, the universe, the reality lookssomewhat different.

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These General recommendations are tailored for the following:For all patients

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For the analysis,the technical replicates were assumed to be biological replicates

between methylated und unmethylated CpGs

diverse conversion of cytosines

Whereupon

The ratio 260nm/280nm was used to assess the purity of the DNA.

Wavy bumps indicatethe activity (read depth, the number of reads).

(activity is defined by the expression levels of the transcripts)

s

, which means that the

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(red line)

in theRNA-seq dataplot

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single

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Pearson correlation coefficient was calculated to compare the expression level of the intragenic promoter (CGI) or transcriptionalactivity initiating at the intragenic CGI and the ratio upstream/across, which means transcription upstream and splicing across the CGI. For the negative control sample dataset Pearson correlation coefficient was calculated as well with simulated intragenic promoters. The cut-off was set close to the maximum correlation of the negative control dataset and defined at 0.5.

and defined

For the negative control sample dataset,Pearson correlation coefficient was calculated alongside simulated intragenic promoters.

‘Host gene upstream of the intragenic promoter’(Upstream) defined as fragment numbers measured from the TSS until the beginning of the CGI and ‘Gene through the intragenic promoter’(Across), defined as exonic fragmentsoverlapping with the host gene;

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