So if you have an idea for a session, this is the time to start thinking about it. Sponsors are also welcome -- and since LFNW sponsorships regularly sell out, it's not to soon to start thinking about becoming a sponsor -- and if you are part of a non-profit group or FOSS project, LFNW offers free exhibit space because this is a conference that exists for the community, not to make money for a corporate owner. But don't delay. As you can imagine, those free exhibit spots tend to fill up early. (Alternate Video Link)
For example, researchers can use the model to predict what will happen to a protein when there’s a mistake in part of the regulatory code. Mutations in splicing instructions have already been linked to diseases such as spinal muscular atrophy, a leading cause of infant death, and some forms of colorectal cancer. In the new study, researchers used the trained model to analyze genetic data from people afflicted with some of those diseases. The scientists identified some known mutations linked to these maladies, verifying that the model works. They picked out some new candidate mutations as well, most notably for autism.
One of the benefits of the model, Frey said, is that it wasn’t trained using disease data, so it should work on any disease or trait of interest. The researchers plan to make the system publicly available, which means that scientists will be able to apply it to many more diseases.
Those skilled at the housekeeping functions built into SS7 can locate callers anywhere in the world, listen to calls as they happen or record hundreds of encrypted calls and texts at a time for later decryption (Google translation of German original). There is also potential to defraud users and cellular carriers by using SS7 functions, the researchers say. This is another result of security being considered only after the fact, as opposed to being part of the initial design.