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Jul 25, 2020

Breit-Wheeler process in very short electromagnetic pulses

Posted by in category: futurism

Magnetic waves into matter :3.


PDF | The generalized Breit-Wheeler process, i.e., the emission of e+e− pairs off a probe photon propagating through a polarized short-pulsed… | Find, read and cite all the research you need on ResearchGate.

Jul 25, 2020

Rights of Sentient Artificial Beings

Posted by in category: robotics/AI

Science Fiction explores themes and warns about scenarios where sentient Artificial Intelligence (AI) becomes dangerous and harms, enslaves, or annihilates Humanity. Variations of these ideas occur across popular drama.

Jul 25, 2020

Vector The Robot Boy

Posted by in category: robotics/AI

I need him as my desk pet!!!

Special thanks to: instagram.com/hancorinne_ tiktok.com/@vector.robot.boy

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Continue reading “Vector The Robot Boy” »

Jul 25, 2020

ERK-Mediated Mechanochemical Waves Direct Collective Cell Polarization

Posted by in category: chemistry

During collective cell migration, directional information is transmitted from a leading edge to the follower cells as a form of ERK activation waves. Hino et al. demonstrate that a mechanochemical feedback loop coupling cell deformation and ERK activation enables sustained propagation of the directional information over a tissue-scale expanse.

Jul 25, 2020

SPOCD1 is an essential executor of piRNA-directed de novo DNA methylation

Posted by in categories: biotech/medical, life extension

In mammals, the acquisition of the germline from the soma provides the germline with an essential challenge, the necessity to erase and reset genomic methylation1. In the male germline, RNA-directed DNA methylation silences young active transposable elements (TEs)2–4. The PIWI protein MIWI2 (PIWIL4) and its associated PIWI-interacting RNAs (piRNAs) instruct TE DNA methylation3,5. piRNAs are proposed to tether MIWI2 to nascent TE transcripts; however, the mechanism by which MIWI2 directs de novo TE methylation is poorly understood but central to the immortality of the germline. Here we define the interactome of MIWI2 in foetal gonocytes that are undergoing de novo genome methylation and identify a novel MIWI2-associated factor, SPOCD1, that is essential for young TE methylation and silencing. The loss of Spocd1 in mice results in male-specific infertility but impacts neither piRNA biogenesis nor localization of MIWI2 to the nucleus. SPOCD1 is a nuclear protein and its expression is restricted to the period of de novo genome methylation. We found SPOCD1 co-purified in vivo with DNMT3L and DNMT3A, components of the de novo methylation machinery as well as constituents of the NURD and BAF chromatin remodelling complexes. We propose a model whereby tethering of MIWI2 to a nascent TE transcript recruits repressive chromatin remodelling activities and the de novo methylation apparatus through SPOCD1. In summary, we have identified a novel and essential executor of mammalian piRNA-directed DNA methylation.

Jul 25, 2020

Reconstruction of the Instantaneous Earth Rotation Vector with Sub-Arcsecond Resolution Using a Large Scale Ring Laser Array

Posted by in category: physics

An array of ring lasers provides the first continuous measurement of Earth’s motion from a single location.

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Jul 25, 2020

BCI training to move a virtual hand reduces phantom limb pain

Posted by in categories: biotech/medical, computing, neuroscience

Objective To determine whether training with a brain–computer interface (BCI) to control an image of a phantom hand, which moves based on cortical currents estimated from magnetoencephalographic signals, reduces phantom limb pain.

Methods Twelve patients with chronic phantom limb pain of the upper limb due to amputation or brachial plexus root avulsion participated in a randomized single-blinded crossover trial. Patients were trained to move the virtual hand image controlled by the BCI with a real decoder, which was constructed to classify intact hand movements from motor cortical currents, by moving their phantom hands for 3 days (“real training”). Pain was evaluated using a visual analogue scale (VAS) before and after training, and at follow-up for an additional 16 days. As a control, patients engaged in the training with the same hand image controlled by randomly changing values (“random training”). The 2 trainings were randomly assigned to the patients. This trial is registered at UMIN-CTR (UMIN000013608).

Results VAS at day 4 was significantly reduced from the baseline after real training (mean [SD], 45.3 [24.2]–30.9 [20.6], 1/100 mm; p = 0.009 < 0.025), but not after random training (p = 0.047 0.025). Compared to VAS at day 1, VAS at days 4 and 8 was significantly reduced by 32% and 36%, respectively, after real training and was significantly lower than VAS after random training (p < 0.01).

Jul 25, 2020

Los Angeles-To-Las Vegas High-Speed Train Wins $200 Million Nevada Bond Allocation

Posted by in category: transportation

The $5 billion XpressWest project will connect Southern California to Las Vegas with electric trains traveling up to 200 miles an hour.

Jul 25, 2020

‘Major’ breakthrough in Covid-19 drug makes UK professors millionaires

Posted by in categories: finance, innovation

Three professors at the University of Southampton school of medicine have this week made a “major breakthrough” in the treatment of coronavirus patients and become paper millionaires at the same time.

Almost two decades ago professors Ratko Djukanovic, Stephen Holgate and Donna Davies discovered that people with asthma and chronic lung disease lacked a protein called interferon beta, which helps fight off the common cold. They worked out that patients’ defences against viral infection could be boosted if the missing protein were replaced.

The academics created a company, Synairgen, to turn their discoveries into treatments. It floated on the stock market in 2004, but a deal with AstraZeneca to treat viral infections in asthmatics fell through, and the shares collapsed.

Jul 25, 2020

Understanding and coding Neural Networks From Scratch in Python and R

Posted by in categories: information science, robotics/AI

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most popular machine learning algorithms Gradient Descent forms the basis of Neural networks Neural networks can be implemented in both R and Python using certain libraries and packages.