#EmpathyCircles: The best #Empathy building practice.  http://www.empathycircle.com


“These are

  1. (1) empathy circuits,
  2. (2) oxytocin secretion,
  3. (3) reward and motivation, including dopamine release,
  4. (4) language structures, and 
  5. 5) cortisol.


These five functions and mechanisms involve at least 12 important brain regions and two pathways which are mapped here.


Empathy helps us to tune into how other people are thinking and feeling, and can be improved through interpersonal musical coordination.”

Read the full article at: medicalxpress.com

Psychology researchers at UC Santa Cruz have found that playing games in virtual reality creates an effect called “time compression,” where time goes by faster than you think. Grayson Mullen, who was a cognitive science undergraduate at the time, worked with Psychology Professor Nicolas Davidenko to design an experiment that tested how virtual reality’s effects on a game player’s sense of time differ from those of conventional monitors. The results are now published in the journal Timing & Time Perception.

Read the full article at: news.ucsc.edu

In 2017, three leading vaccine researchers submitted a grant application with an ambitious goal. At the time, no one had proved a vaccine could stop even a single beta coronavirus—the notorious viral group then known to include the lethal agents of severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), as well as several causes of the common cold and many bat viruses. But these researchers wanted to develop a vaccine against them all. Grant reviewers at the National Institute of Allergy and Infectious Diseases (NIAID) deemed the plan “outstanding.” But they gave the proposal a low priority score, dooming its bid for funding.



Read the full article at: www.sciencemag.org

Fiber optic technology is the holy grail of high-speed, long-distance telecommunications. Still, with the continuing exponential growth of internet traffic, researchers are warning of a capacity crunch.


In AVS Quantum Science, researchers from the National Institute of Standards and Technology and the University of Maryland show how quantum-enhanced receivers could play a critical role in addressing this challenge. The scientists developed a method to enhance receivers based on quantum physics properties to dramatically increase network performance while significantly reducing the error bit rate (EBR) and energy consumption.


Fiber optic technology relies on receivers to detect optical signals and convert them into electrical signals. The conventional detection process, largely as a result of random light fluctuations, produces ‘shot noise,’ which decreases detection ability and increases EBR. To accommodate this problem, signals must continually be amplified as pulsating light becomes weaker along the optic cable, but there is a limit to maintaining adequate amplification when signals become barely perceptible.


Read the full article at: phys.org

The human body is made up of nearly 40 trillion cells, of many different types. Recent advances in experimental biology have made it possible to explore the genetic material of single cells.


RAPIDS is a suite of open-source Python libraries that can speed up data science workflows using GPU acceleration. Starting from a single-cell count matrix, RAPIDS libraries can be used to perform data processing, dimensionality reduction, clustering, visualization, and comparison of cell clusters.


Several examples are inspired by the Scanpy tutorials and based upon the AnnData format. Currently, examples provide for scRNA-seq and scATAC-seq, and can be scaled up to 1 million cells. The authors also show how to create GPU-powered interactive, in-browser visualizations to explore single-cell datasets.


Dataset sizes for single-cell genomics studies are increasing, presently reaching millions of cells. With RAPIDS, it becomes easy to analyze large datasets interactively and in real time, enabling faster scientific discoveries.


Github repository is here

Read the full article at: developer.nvidia.com

An arsenal of potential treatments takes aim at proteins that are key to the virus’ life cycle.  In March 2020, as the full scope of the COVID-19 pandemic was coming into view, Jen Nwankwo and colleagues turned a pair of artificial intelligence (AI) tools against SARS-CoV-2. One newly developed AI program, called SUEDE, digitally screens all known drug-like compounds for likely activity against biomolecules thought to be involved in the disease. The other, BAGEL, predicts how to build inhibitors to known targets. The two programs searched for compounds able to block human enzymes that play essential roles in enabling the virus to infect its host cells. While SUEDE sifted through 14 billion compounds in just a few hours and spat out a hit, BAGEL created equally fast new leads.


Read the full article at: www.sciencemag.org

USC researchers harness the power of living organisms to make materials that are strong, tolerant and resilient.


Biological systems can harness their living cells for growth and regeneration, but engineering systems cannot. Until now. Qiming Wang and researchers at the USC Viterbi School of Engineering are harnessing living bacteria to create engineering materials that are strong, tolerant, and resilient. The research is published in Advanced Materials.


“The materials we are making are living and self-growing,” said Wang, the Stephen Schrank Early Career Chair in Civil and Environmental Engineering and assistant professor of civil and environmental engineering in the Sonny Astani Department of Civil and Environmental Engineering (CEE). “We have been amazed by the sophisticated microstructures of natural materials for centuries, especially after microscopes were invented to observe these tiny structures. Now we take an important step forward: We use living bacteria as a tool to directly grow amazing structures that cannot be made on our own.”


 #abcdesRead the full article at: viterbischool.usc.edu