It is theoretically possible for a particularly massive star to collapse in on itself to form a black hole rather than exploding in a supernova, and we might now have seen the process in action.
By Alex Wilkins
It is theoretically possible for a particularly massive star to collapse in on itself to form a black hole rather than exploding in a supernova, and we might now have seen the process in action.
By Alex Wilkins
A study from Edinburgh Business School at Heriot-Watt University found that while hydrogen production, storage and fuel cell technologies are advancing rapidly, the hydrogen distribution infrastructure is developing at half the speed, creating a critical bottleneck that could put billions in clean energy at risk.
The paper “Dynamics of knowledge production: A relational-event analysis of patent citation hazards in hydrogen technologies” was published in Sustainable Futures.
The findings are an important milestone in recognizing that, while other hydrogen technologies improve and costs fall, distribution expenses could take up a large share of hydrogen system budgets, significantly limiting overall efficiency and growth of the hydrogen sector.
In a surprising discovery, University of New Mexico researchers have found that OTULIN – an enzyme that helps regulate the immune system – also drives the formation of tau, a protein implicated in many neurodegenerative diseases, as well as brain inflammation and aging.
In a study published in the journal Genomic Psychiatry, the researchers reported that when they deactivated OTULIN, either by administering a custom-designed small molecule or knocking out the gene that codes for it, it halted the production of tau and removed it from neurons. The study was conducted on two different types of cells, some derived from a patient who had died from late-onset sporadic Alzheimer’s disease, and the rest from a line of human neuroblastoma cells that are frequently used in neuroscience research.
The discovery opens the door to potential treatments for Alzheimer’s and other neurodegenerative diseases, said Karthikeyan Tangavelou, PhD, a senior scientist in the lab of Kiran Bhaskar, PhD, professor in the Department of Molecular Genetics & Microbiology in the UNM School of Medicine.
What if you could create new materials just by shining a light at them? To most, this sounds like science fiction or alchemy, but to physicists investigating the burgeoning field of Floquet engineering, this is the goal. With a periodic drive, like light, scientists can “dress up” the electronic structure of any material, altering its fundamental properties—such as turning a simple semiconductor into a superconductor.
While the theory of Floquet physics has been investigated since a bold proposal by Oka and Aoki in 2009, only a handful of experiments within the past decade have managed to demonstrate Floquet effects. And though these experiments show the feasibility of Floquet engineering, the field has been limited by the reliance on light, which requires very high intensities that almost vaporize the material while still only achieving moderate results.
But now, a diverse team of researchers from around the world, co-led by the Okinawa Institute of Science and Technology (OIST) and Stanford University have demonstrated a powerful new alternative approach to Floquet engineering by showing that excitons can produce Floquet effects much more efficiently than light. Their results are now published in Nature Physics.
Researchers have created a self-healing composite that is tougher than materials currently used in aircraft wings, turbine blades and other applications—and can repair itself more than 1,000 times. The researchers estimate their self-healing strategy can extend the lifetime of conventional fiber-reinforced composite materials by centuries compared to the current decades-long design-life.
The work is published in the journal Proceedings of the National Academy of Sciences.
“This would significantly drive down costs and labor associated with replacing damaged composite components, and reduce the amount of energy consumed and waste produced by many industrial sectors—because they’ll have fewer broken parts to manually inspect, repair or throw away,” says Jason Patrick, corresponding author of the paper and an associate professor of civil, construction and environmental engineering at North Carolina State University.
The copenhagen interpretation & retroactivity. quantum mechanics basics:
Particles exist in a superposition of states until observed.
Measurement “collapses” the wave function into a definite outcome.
Retrocausality Debate:
Some physicists have explored whether quantum events can appear to be influenced by future measurements.
This is sometimes described as the universe “responding retroactively,” but it’s a controversial interpretation, not mainstream science.
Deep learning models have achieved diagnostic accuracy rates up to 92% for nasopharyngeal carcinoma and over 95% for otologic pathology, matching expert performance in otolaryngology.
This review summarizes recent deep learning advances in otolaryngology, including diagnostic models with expert-level accuracy for nasopharyngeal carcinoma and otologic pathology.
This narrative review synthesizes recent deep-learning applications and proposes a framework for their integration into otolaryngology.
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical sleeping and/or eating habits, a lack of motivation, a loss of interest in daily activities and unhelpful thought patterns.
There are now various treatments for depression, including psychotherapy-based interventions and different types of antidepressant medications. Identifying the best treatment strategy, however, is not always easy, and many patients try different medications before they find one that works for them.
Researchers at Stanford University, Lehigh University, the University of Texas at Austin and other institutes explored the potential of machine learning techniques, computational models that can identify patterns in data, for predicting the responses of individual patients to two different antidepressants and to a placebo (i.e., a pill that contains no active chemicals).
Using the Einstein Probe (EP), astronomers from China and Germany have observed a nearby galaxy cluster known as Abell 3571. Results of the observational campaign, published January 8 on the arXiv pre-print server, provide more insights into the X-ray properties and structure of this cluster.
Galaxy clusters contain up to thousands of galaxies bound together by gravity. They generally form as a result of mergers and grow by accreting sub-clusters. Therefore, they could serve as excellent laboratories for studying galaxy evolution and cosmology.
Abell 3,571, or A3571, is a rich galaxy cluster in the Shapley Supercluster, at a redshift of 0.039. It has a radius of about 5.5 million light years and its mass is estimated to be 910 trillion solar masses. The brightest cluster galaxy (BCG) of Abell 3,571 is MCG–05–33–002, which exhibits a pronounced north-south elongation.