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New research led by University of Massachusetts Amherst assistant professor Jinglei Ping has overcome a major challenge to isolating and detecting molecules at the same time and at the same location in a microdevice. The work, recently published in ACS Nano, demonstrates an important advance in using graphene for electrokinetic biosample processing and analysis, and could allow lab-on-a-chip devices to become smaller and achieve results faster.

The process of detecting biomolecules has been complicated and time-consuming. “We usually first have to isolate them in a complex medium in a device and then send them to another device or another spot in the same device for detection,” says Ping, who is in the College of Engineering’s Mechanical and Industrial Engineering Department and is also affiliated with the university’s Institute of Applied Life Sciences. “Now we can isolate them and detect them at the same microscale spot in a microfluidic device at the same time—no one has ever demonstrated this before.”

His lab achieved this advance by using graphene, a one-atom-thick honeycomb lattice of carbon atoms, as microelectrodes in a microfluidic device.

Particles can move as waves along different paths at the same time—this is one of the most important findings of quantum physics. A particularly impressive example is the neutron interferometer: neutrons are fired at a crystal, the neutron wave is split into two portions, which are then superimposed on each other again. A characteristic interference pattern can be observed, which proves the wave properties of matter.

Such neutron interferometers have played an important role for precision measurements and fundamental physics research for decades. However, their size has been limited so far because they worked only if carved from a single piece of crystal. Since the 1990s, attempts have also been made to produce interferometers from two separate crystals—but without success. Now a team from TU Wien, INRIM Turin and ILL Grenoble has achieved precisely this feat, using a high-precision tip-tilt platform for the crystal alignment. This opens up completely new possibilities for quantum measurements, including research on quantum effects in a gravitational field.

Human brains process loads of information. When wine aficionados taste a new wine, neural networks in their brains process an array of data from each sip. Synapses in their neurons fire, weighing the importance of each bit of data—acidity, fruitiness, bitterness—before passing it along to the next layer of neurons in the network. As information flows, the brain parses out the type of wine.

Scientists want artificial intelligence (AI) systems to be sophisticated data connoisseurs too, and so they design computer versions of neural networks to process and analyze information. AI is catching up to the human brain in many tasks, but usually consumes a lot more energy to do the same things. Our brains make these calculations while consuming an estimated average of 20 watts of power. An AI system can use thousands of times that. This hardware can also lag, making AI slower, less efficient and less effective than our brains. A large field of AI research is looking for less energy-intensive alternatives.

Now, in a study published in the journal Physical Review Applied, scientists at the National Institute of Standards and Technology (NIST) and their collaborators have developed a new type of hardware for AI that could use less energy and operate more quickly—and it has already passed a virtual wine-tasting test.

The 6 million-square-foot Samsung plant will be located south of Highway 79 and southwest of Downtown Taylor, near Taylor High School. It is expected to bring 1,800 jobs to Williamson County.

The plant is expected to start operations in 2024. The City of Taylor, Williamson County and Taylor ISD all already have economic agreements in place related to Samsung’s development.

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The latest Food Security and Nutrition in the World report reveals the extent of global hunger, with the number of malnourished people has increased for the sixth year in a row.

Evolution has long been viewed as a rather random process, with the traits of species shaped by chance mutations and environmental events—and therefore largely unpredictable.

But an international team of scientists led by researchers from Yale University and Columbia University has found that a particular plant lineage independently evolved three similar leaf types over and over again in mountainous regions scattered throughout the neotropics.

The findings provided the first examples in plants of a phenomenon known as “replicated radiation,” in which similar forms evolve repeatedly within different regions, suggesting that evolution is not always such a random process but can be predicted.

Optogenetics and advanced imaging have helped neuroscientists understand how memories form and made it possible to manipulate them.

So, I think I uncovered a treasure. The Killing Star by Charles Pellegrino and George Zebrowski was originally published 1995 and it paints a dark and seemingly plausible depiction of humanity’s potential future. This book is about several things genetic engineering and cloning, it’s about the destructive power of fanaticism, It’s about the over confidence and hubris of humanity, and that gets really hammered home in this book with all it’s references to the titanic, which has for a very long time been thought of as one of the greatest symbols of human hubris, it’s about AI, and when it goes to far, it’s about our over dependence on technology, it’s about humanity’s indefinite survival outside of earth, and most importantly, it’s about the devastating annihilation of the vast majority of the human race.

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Scientists have demonstrated that a brain-penetrating candidate drug currently in development as a cancer therapy can promote regeneration of damaged nerves after spinal trauma.

The research used cell and animal models to show that when taken orally the candidate drug, known as AZD1390, can block the response to DNA

DNA, or deoxyribonucleic acid, is a molecule composed of two long strands of nucleotides that coil around each other to form a double helix. It is the hereditary material in humans and almost all other organisms that carries genetic instructions for development, functioning, growth, and reproduction. Nearly every cell in a person’s body has the same DNA. Most DNA is located in the cell nucleus (where it is called nuclear DNA), but a small amount of DNA can also be found in the mitochondria (where it is called mitochondrial DNA or mtDNA).