LinkedIn is down as we speak with a generic “An error has occured” (sic) message. that this isn’t a typical outage when the homepage exhibiting you a typo.
The LinkedIn API Standing and Incidents web page notes that the corporate is investigating the problem. The affirmation got here at 10:58 p.m. Pacific: “We’re at present experiencing a difficulty throughout the platform which will trigger some API requests to take longer or fail unexpectedly. We’re investigating the problem and dealing on a decision.”
At 11:06 a.m. Pacific, LinkedIn confirmed the issue on Twitter: “Some members could also be experiencing a difficulty with accessing LinkedIn on cell and desktop. We’re engaged on this as we converse and can present updates as we have now them. Thanks to your endurance!”
This morning, LinkedIn introduced new options on Pages for companies. It’s not clear if this rollout is expounded to the outage.
We’ve contacted Microsoft for extra data and can replace this put up once we hear again.
Replace at 11:33 p.m. Pacific: LinkedIn is beginning to come again, at the least for some customers. Others are nonetheless getting errors.
Replace at 11:40 p.m. Pacific: A LinkedIn spokesperson confirmed the outage to GeekWire and despatched alongside the identical assertion as within the aforementioned tweet.
Replace at 11:44 p.m. Pacific: “The problem has been recognized and a repair is being applied,” based on the LinkedIn API Standing and Incidents page.
Though not due till September, Java 17 has already begun to take form, with two proposed new options now eyed for the following improve to plain Java. A MacOS rendering pipeline proposal was added on February 25. Earlier this month, a proposal of enhanced pseudorandom quantity turbines was focused for the Java 17 launch.
Options filed as a part of OpenJDK’s Java Growth Package (JDK) 17 embody:
A new rendering pipeline for MacOS, utilizing the Apple Metallic API as a substitute for the prevailing pipeline that makes use of the deprecated OpenGL API. This proposal is meant to offer a completely useful rendering pipeline for the Java 2D API that makes use of the MacOS Metallic framework and be prepared within the occasion Apple removes the OpenGL API from a future model of MacOS. The pipeline is meant to have useful parity with the prevailing OpenGL pipeline, with efficiency pretty much as good or higher in choose purposes and benchmarks. A clear structure can be created that matches into the present Java 2D mannequin. The pipeline would coexist with the OpenGL pipeline till out of date. It isn’t a objective of the proposal so as to add any new Java or JDK APIs.
Enhanced pseudo-random number generators that would offer new interface varieties and implementations for pseudorandom quantity turbines (PRNGs) together with jumpable PRNGs and an extra class of splittable PRNG algorithms (LXM). A brand new interface, RandomGenerator, would provide a uniform API for all current and new PRNGs. 4 specialised RandomGenerator interfaces can be supplied. Motivating the plan is a concentrate on a number of areas for enchancment within the space of pseudorandom quantity technology in Java. The hassle doesn’t name for offering implementations of quite a few different PRNG algorithms. However three frequent algorithms have been added that already are extensively deployed in different programming language environments. Targets of the plan embody:
Making it simpler to make use of numerous PRNG algorithms interchangeably in purposes.
Improved assist for stream-based programming, offering streams of PRNG objects.
Elimination of code duplication in current PRNG courses.
Preservation of current conduct of sophistication java.util.Random.
Early-access open supply builds of JDK 17 could be discovered at jdk.java.net. JDK 17 is slated to be the following long-term-support (LTS) launch of Java, that means it might obtain a number of years of assist; different Java releases, serving as function releases, are supported for simply six months.
LTS releases arrive each three years. The final LTS launch, JDK 11, was printed in September 2018. New releases of Java arrive each six months. The present launch line of ordinary Java is JDK 15.
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Twenty years after the primary human genome sequence was printed, a world analysis workforce has kicked the sequencing sport to the following degree with a set of 64 reference genomes that mirror a lot larger decision and extra genetic range.
Because the Human Genome Challenge accomplished the primary draft of its reference genome, decoding the human genetic code has been remodeled from a multibillion-dollar endeavor right into a relatively inexpensive commercial service. Nevertheless, business whole-genome sequencing, or WGS, usually misses out on essential variations that may make all of the distinction on the subject of a person’s well being.
“As a metric, 75% of structural variants which are current in that individual’s genome are missed by WGS, however are captured by our long-read phased genome meeting,” College of Washington genome scientist Evan Eichler advised GeekWire in an e mail. “Such variants are about 3 times extra prone to trigger illness.”
Eichler, who was a member of the unique Human Genome Challenge, is likely one of the senior authors of a examine laying out the brand new set of reference genomes, published today by the journal Science.
“Every of those particular person genomes is being resolved extra utterly, for a fraction of the value of the primary human genome,” he mentioned in a information launch. “We’re discovering exceptional variations in genomic group which have been missed till now.”
In distinction, the 64 newly printed genomes doc the exactly paired units of maternal and paternal gene teams, or haplotypes, as mirrored in genetic samples taken from 32 people. The people symbolize 25 completely different human populations from throughout the globe. Ten of the 32 samples got here from individuals reporting African ancestry, who’re sometimes underrepresented in genetic surveys.
“With these reference knowledge, particular person variations by way of numerous varieties of genetic variants can now be studied with unprecedented accuracy,” mentioned examine lead creator Peter Ebert, a researcher on the Institute of Medical Biometry and Bioinformatics at Heinrich Heine College in Germany.
Eichler advised GeekWire that the improved understanding of the human genome “permits us to determine new hotspots of genetic instability that might be necessary for predicting the place and why illness happens — particularly uncommon variants.”
“Along with inflicting illness, structural variants usually tend to disrupt a gene operate,” Eichler defined.
Researchers appeared for examples the place specific varieties of structural variants — for instance, the insertion of tons of of “letters” of genetic code — had been extra seemingly than different variants to have an effect on gene expression. “This isn’t at all times a nasty factor, and typically such adjustments are useful,” Eichler mentioned. “Variants which are excessive in a single human inhabitants versus one other are good candidates.”
The sequencing effort resolved greater than 100,000 structural variants, most of which had been beforehand unknown.
Eichler mentioned the analytical methods used for the brand new reference genomes are prone to be a “sport changer” for future genetic discoveries.
“It received’t occur tomorrow, however that is the best way all human genomes might be sequenced clinically sooner or later,” he mentioned within the information launch. “Sometime every individual could have their particular person human genome undertaking to name their very own, and having that info will enhance their well being.”
Along with Ebert, the lead authors of the Science paper, titled “Haplotype-Resolved Diverse Human Genomes and Integrated Analysis of Structural Variation,” embrace Peter Audano of the College of Washington, Qihui Zhu of the Jackson Laboratory for Genomic Drugs and Bernardo-Rodriguez Martin of the European Molecular Biology Laboratory in Heidelberg. Along with Eichler, the examine’s senior and corresponding authors embrace Tobias Marschall of Heinrich Heine College, Jan Korbel of EMBL and Charles Lee of the Jackson Laboratory. In all, 65 researchers are listed as authors.
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