Tech
ORLANDO, Nov. 23, 2020 - The search for a superconductor that can work under less extreme conditions than hundreds of degrees below zero or at pressures like those near the center of the Earth is a quest for a revolutionary new power -- one that's needed for magnetically levitating cars and ultra-efficient power grids of the future.
But developing this kind of "room temperature" superconductor is a feat science has yet to achieve.
A single-use, self-administered microneedle technology developed by UConn faculty to provide immunization against infectious diseases has recently been validated by preclinical research trials.
Recently published in Nature Biomedical Engineering, the development and preclinical testing of the microneedle patches was reported by UConn researchers in the lab of Thanh Nguyen, assistant professor in the Departments of Mechanical Engineering and Biomedical Engineering.
VIRTUAL MEETING (CST), November 22, 2020 -- About 1,000 tornadoes strike the United States each year, causing billions of dollars in damage and killing about 60 people on average. Tracking data show that they're becoming increasingly common in the southeast, and less frequent in "Tornado Alley," which stretches across the Great Plains. Scientists lack a clear understanding of how tornadoes form, but a more urgent challenge is to develop more accurate prediction and warning systems.
VIRTUAL MEETING (CST), November 22, 2020 -- In March, Stanford University bioengineer Manu Prakash flew from France to his home in California and spent two weeks in personal quarantine. After being holed up in the room where he stores his snorkeling and scuba equipment, Prakash emerged with an idea for addressing two of the pandemic's most pressing challenges.
AMES, Iowa - Seed banks across the globe store and preserve the genetic diversity of millions of varieties of crops. This massive collection of genetic material ensures crop breeders access to a wealth of genetics with which to breed crops that yield better or resist stress and disease.
ITHACA, N.Y. - If you think getting your cat to the veterinarian is tricky, new Cornell Wildlife Health Center research has revealed that vaccination of endangered Amur (Siberian) tigers is the only practical strategy to protect them from a dangerous disease in their natural habitat in the Russian Far East.
VIRTUAL MEETING (CST), November 22, 2020 -- Twenty years ago, wind energy was mostly a niche industry that contributed less than 1% to the total electricity demand in the United States. Wind has since emerged as a serious contender in the race to develop clean, renewable energy sources that can sustain the grid and meet the ever-rising global energy demand. Last year, wind energy supplied 7% of domestic electricity demand, and across the country--both on and offshore--energy companies have been installing giant turbines that reach higher and wider than ever before.
The current global supply of crude oil is expected to meet demand through 2050, but there may be a few more drops to squeeze out. By making use of a previously undesired side effect in oil recovery, researchers have developed a method that yields up to 20% more heavy oil than traditional methods.
Tokyo University of Agriculture and Technology (TUAT) team published their results on August 24 in Energy & Fuels, a journal of the American Chemical Society.
The researchers focused on heavy oil recovery, which involves extracting highly viscous oil stuck in porous rocks.
Using a deep-learning model designed for high-dimensional data, KAUST researchers have shown that it is possible to predict emergency department overcrowding from complex hospital records. This application of the "Variational AutoEncoder" deep-learning model is an example of how machine learning can be used to interpret and extract meaning from difficult data sets that are too voluminous or complex for humans to decipher.
Today, optofluidics is one of the most representative application of photonics for biological/chemical analysis. The ability of plasmonic structures (e.g., colloidal gold and silver nanoparticles, NPs) under illumination to release heat and induce fluid convection at the micro-scale has attracted high interest over the past two decades. Their size- and shape-dependent as well as wavelength-tunable optical and thermal properties have paved the way for relevant applications such as photothermal therapy/imaging, material processing, biosensing and thermal optofluidics to name a few.
OAK BROOK, Ill. - A simple eye exam combined with powerful artificial intelligence (AI) machine learning technology could provide early detection of Parkinson's disease, according to research being presented at the annual meeting of the Radiological Society of North America (RSNA).
Parkinson's disease is a progressive disorder of the central nervous system that affects millions of people worldwide. Diagnosis is typically based on symptoms like tremors, muscle stiffness and impaired balance--an approach that has significant limitations.
(LOS ANGELES) - Human bodily fluids and secretions contain molecules known as biomarkers that contain a wealth of information about the body's health and the presence of disease. Among secretions such as tears, sweat and saliva, tears are considered the best source of biomarkers, with concentrations similar to those found in blood. Tears are also sterile, readily available and less susceptible to the damaging effects of temperature change, evaporation and secretion rate.
Led by academician Prof. GUO Guangcan from the Chinese Academy of Sciences (CAS), Prof. LI Chuanfeng's group and Prof. XIANG Guoyong's group from University of Science and Technology of China (USTC), CAS, in cooperation with theoretical physicists from Germany, Italy and Switzerland, conducted the first experiment using entangled collective measurement for minimizing quantum measurement backaction based on photonic system.
The result was published online in Physical Review Letters on Nov. 16.
Strain engineering usually refers to a kind of material processing technology, which aims to regulate the properties of materials or optimize related devices' performance by inherent or external strain. In recent years, with the development of 2D materials, the research of strain engineering of 2D materials (transition metal dichalcogenides (TMDCs), graphene, etc.) has attracted significant attention.
A chemist from RUDN University suggested a simple and accurate method for the synthesis of analogs of two natural toxins, antofine and septicine. This universal approach can also be used to obtain other biologically active substances for medicinal chemistry. The research was published in the Organic Letters journal.