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ScienceDaily: Computers & Math News |
| CROPSR: A new tool to accelerate genetic discoveries Posted: 17 Feb 2022 11:13 AM PST Scientists have developed CROPSR, the first open-source software tool for genome-wide design and evaluation of guide RNA (gRNA) sequences for CRISPR/Cas9 experiments. This tool significantly shortens the time required to design a CRISPR experiment and reduces the challenge of working with complex crop genomes. It should accelerate bioenergy crop development as well as broader crop improvements and other gene-editing research. |
| Vortex microscope sees more than ever before Posted: 17 Feb 2022 11:13 AM PST A new imaging technology uses polarized 'optical vortices' to provide a detailed, dynamic view of molecules in motion. |
| Measuring the tempo of Utah's red rock towers Posted: 17 Feb 2022 11:12 AM PST Geologists know well how rock towers and arches shimmy, twist and sway in response to far-off earthquakes, wind and even ocean waves. Their latest research compiles a first-of-its-kind dataset to show that the dynamic properties, i.e. the frequencies at which the rocks vibrate and the ways they deform during that vibration, can be largely predicted using the same mathematics that describe how beams in built structures resonate. |
| Chaining atoms together yields quantum storage Posted: 17 Feb 2022 11:12 AM PST Data stored in spin states of ytterbium atoms can be transferred to surrounding atoms in a crystal matrix. |
| Musicians, chemists use sound to better understand science Posted: 17 Feb 2022 10:19 AM PST A team of researchers from music, chemistry and computer science is using sound to better understand biochemical processes such as the physical mechanisms of protein folding. |
| Uncovering unexpected properties in a complex quantum material Posted: 17 Feb 2022 09:23 AM PST A new study describes previously unexpected properties in a complex quantum material, findings that have implications for future quantum devices. |
| How picking up your smartphone could reveal your identity Posted: 17 Feb 2022 06:07 AM PST The time a person spends on different smartphone apps is enough to identify them from a larger group in more than one in three cases say researchers, who warn of the implications for security and privacy. They fed 4,680 days of app usage data into statistical models. Each of these days was paired with one of the 780 users, such that the models learnt people's daily app use patterns. The researchers then tested whether models could identify an individual when provided with only a single day of smartphone activity that was anonymous and not yet paired with a user. Software granted access to a smartphone's standard activity logging could render a reasonable prediction about a user's identity even when they were logged out of their account. An identification is possible with no monitoring of conversations or behaviors within apps themselves. |
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