ScienceDaily: Top Technology News |
- Researchers destroy cancer cells with ultrasound treatment
- Case for axion origin of dark matter gains traction
- New process could safeguard water quality, environment and health
- Extensive review of spin-gapless semiconductors: Next-generation spintronics candidates
- Computational model decodes speech by predicting it
- Chemistry paves the way for improved electronic materials
- From the lab, the first cartilage-mimicking gel that's strong enough for knees
- Process for 'two-faced' nanomaterials may aid energy, information tech
- Al2Pt for oxygen evolution reaction in water splitting
- Macroscopic quantum interference in an ultra-pure metal
- Comparing 13 different CRISPR-Cas9 DNA scissors
- Airborne chemicals could become less hazardous, thanks to a missing math formula
- Towards an AI diagnosis like the doctor's
- Cyberbullying linked to post traumatic stress for victims and perpetrators
| Researchers destroy cancer cells with ultrasound treatment Posted: 26 Jun 2020 11:14 AM PDT |
| Case for axion origin of dark matter gains traction Posted: 26 Jun 2020 09:50 AM PDT |
| New process could safeguard water quality, environment and health Posted: 26 Jun 2020 08:48 AM PDT |
| Extensive review of spin-gapless semiconductors: Next-generation spintronics candidates Posted: 26 Jun 2020 08:48 AM PDT Scientists have published an extensive review of spin-gapless semiconductors (SGSs), a new class of 'zero bandgap' materials which have fully spin polarised electrons and holes, and first proposed in 2008. The study tightens the search for materials that would allow for ultra-fast, ultra-low energy 'spintronic' electronics with no wasted dissipation of energy from electrical conduction. |
| Computational model decodes speech by predicting it Posted: 26 Jun 2020 08:48 AM PDT UNIGE scientists developed a neuro-computer model which helps explain how the brain identifies syllables in natural speech. The model uses the equivalent of neuronal oscillations produced by brain activity to process the continuous sound flow of connected speech. The model functions according to a theory known as predictive coding, whereby the brain optimizes perception by constantly trying to predict the sensory signals based on candidate hypotheses (syllables in this model). |
| Chemistry paves the way for improved electronic materials Posted: 26 Jun 2020 08:48 AM PDT |
| From the lab, the first cartilage-mimicking gel that's strong enough for knees Posted: 26 Jun 2020 08:47 AM PDT The thin, slippery layer of cartilage between the bones in the knee is magical stuff: strong enough to withstand a person's weight, but soft and supple enough to cushion the joint against impact, over decades of repeat use. That combination of soft-yet-strong has been hard to reproduce in the lab. But now, researchers say they've created an experimental gel that's the first to match the strength and durability of the real thing. |
| Process for 'two-faced' nanomaterials may aid energy, information tech Posted: 26 Jun 2020 08:47 AM PDT A team used a simple process to implant atoms precisely into the top layers of ultra-thin crystals, yielding two-sided structures with different chemical compositions. The resulting materials, known as Janus structures after the two-faced Roman god, may prove useful in developing energy and information technologies. |
| Al2Pt for oxygen evolution reaction in water splitting Posted: 26 Jun 2020 08:47 AM PDT |
| Macroscopic quantum interference in an ultra-pure metal Posted: 26 Jun 2020 08:47 AM PDT As high school students see in experiments with water waves, and we observe and use with light waves in many optical devices, interference is a fundamental property associated with wave-like behavior. Indeed, Davisson and Germer's famous observation of interference in experiments with dilute beams of electrons, nearly a century ago, gave key experimental support to the correctness of the then-new quantum theory. |
| Comparing 13 different CRISPR-Cas9 DNA scissors Posted: 26 Jun 2020 06:27 AM PDT Scientists have achieved the most extensive high-throughput analysis of CRISPR-Cas9 activities. The team developed deep-learning-based computational models that predict the activities of SpCas9 variants for different DNA sequences. This study represents a useful guide for selecting the most appropriate SpCas9 variant. |
| Airborne chemicals could become less hazardous, thanks to a missing math formula Posted: 25 Jun 2020 01:48 PM PDT |
| Towards an AI diagnosis like the doctor's Posted: 24 Jun 2020 09:04 AM PDT |
| Cyberbullying linked to post traumatic stress for victims and perpetrators Posted: 23 Jun 2020 03:52 PM PDT |
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