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ScienceDaily: Computers & Math News |
Technology’s impact on worker well-being Posted: 28 Oct 2021 02:45 PM PDT In the traditional narrative of the evolving 21st century workplace, technological substitution of human employees is treated as a serious concern, while technological complementarity -- the use of automation and artificial intelligence to complement workers -- is viewed as a good thing. But a new study tells a more nuanced story, demonstrating that the integration of automation and AI in the workplace has mixed, even negative impacts, on worker wellbeing. |
New study solves energy storage and supply puzzle Posted: 28 Oct 2021 09:04 AM PDT Researchers have found a simple and affordable method to determine which chemicals and types of metals are best used to store and supply energy, in a breakthrough for any battery-run devices and technologies reliant on the fast and reliable supply of electricity, including smart phones and tablets. |
Computer scientists developed method for identifying disease biomarkers with high accuracy Posted: 28 Oct 2021 06:32 AM PDT Experts have created a deep neural network that achieves 98 per cent detection of peptide features in a dataset. That means scientists and medical practitioners have a greater chance of discovering possible diseases through tissue sample analysis. |
A mathematical model to help optimize vaccine development Posted: 27 Oct 2021 10:49 AM PDT Scientists are using a mathematical model to better understand the immune response to vaccines. |
All about Eve, sophisticated AI Posted: 27 Oct 2021 09:21 AM PDT New AI model called EVE outperforms other AI methods in determining whether a gene variant is benign or disease-causing. When applied to more than 36 million variants across 3,219 disease-associated proteins and genes, EVE indicated more than 256,000 human gene variants of unknown significance that should be reclassified as benign or pathogenic. Used in combination with current clinical tools, EVE can improve clinical assessments of genetic mutations and boost diagnostic and prognostic accuracy. |
A novel solution to a combinatorial optimization problem in bicycle sharing systems Posted: 27 Oct 2021 09:21 AM PDT Bicycle sharing systems have become an attractive option to alleviate traffic in congested cities. However, rebalancing the number of bikes at each port as time passes is essential, and finding the optimal routing paths for the vehicles in charge of rebalancing constitutes a combinatorial optimization problem. Now, scientists propose an innovative algorithm that can find near-optimal solutions more quickly even for a large number of ports, paving the way for more efficient bicycle sharing systems. |
New computer modeling could boost drug discovery Posted: 27 Oct 2021 09:19 AM PDT Scientists have developed a computer-aided data tool that could improve treatment for a range of illnesses. |
A new 3D printing frontier: Self-powered wearable devices Posted: 27 Oct 2021 05:53 AM PDT Researchers have created an innovative hybrid printing method -- combining multi-material aerosol jet printing and extrusion printing -- that integrates both functional and structural materials into a single streamlined printing platform. |
Dynamical scaling of entanglement entropy and surface roughness in random quantum systems Posted: 26 Oct 2021 12:33 PM PDT A team of physicists has demonstrated numerically a dynamical one-parameter scaling called 'Family-Vicsek (FV) scaling,' originally found in surface growth physics, in disordered quantum systems. |
Enhanced touch screens could help you 'feel' objects Posted: 26 Oct 2021 09:43 AM PDT The next time you buy a new couch, you may not ever have to leave your old one to get a feel for the texture of the new material. Researchers are working to better define how the finger interacts with a device with the hope of aiding in the further development of technology that goes beyond sensing and reacting to your touch. |
Modeling improvements promise increased accuracy for epidemic forecasting Posted: 26 Oct 2021 09:42 AM PDT Accurate forecasting of epidemic scenarios is critical to implementing effective public health intervention policies. Researchers used dynamical stochastic modeling techniques to reveal that infection and recovery rate fluctuations play a critical role in determining peak times for epidemics. Using a susceptible-infected-recovered epidemic model that incorporates daily fluctuations on control parameters, the study applies probability theory calculations to infection counts at the beginning of an epidemic wave and at peak times for populations in Italy. |
Teaching robots to think like us Posted: 26 Oct 2021 09:42 AM PDT Researchers outline how a robot could be taught to navigate through a maze by electrically stimulating a culture of brain nerve cells connected to the machine. These nerve cells were grown from living cells and acted as the physical reservoir for the computer to construct coherent signals. These findings suggest goal-directed behavior can be generated without any additional learning by sending disturbance signals to an embodied system. |
Metal-halide perovskite semiconductors can compete with silicon counterparts for solar cells, LEDs Posted: 26 Oct 2021 09:42 AM PDT Common semiconductor materials for solar cells, such as silicon, must be grown via an expensive process to avoid defects within their crystal structure that affect functionality. But metal-halide perovskite semiconductors are emerging as a cheaper, alternative material class, with excellent and tunable functionality as well as easy processability. |
New strategy for detecting non-conformist particles called anyons Posted: 26 Oct 2021 06:43 AM PDT By observing how strange particles called anyons dissipate heat, researchers have shown that they can probe the properties of these particles in systems that could be relevant for topological quantum computing. |
Unprecedented look at the health status of a diverse patient population Posted: 26 Oct 2021 06:43 AM PDT Early results from a landmark, three-year observational study called MIPACT, short for Michigan Predictive Activity & Clinical Trajectories, provide insight into the baseline health status of a representative group of thousands of people. |
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