Current Accurate News and Events

Current Accurate News and Events, Accurate News Articles.
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Scientists developed a novel method of automatic soil mapping
A team of soil scientists developed a new approach to the automatic generation and updating of soil maps. Having applied machine learning technologies to a set of rules traditionally used by experts in manual mapping, the team obtained a highly accurate model that provides easy-to-interpret results. (2021-02-15)

How accurate are first impressions on a first date?
The high stakes of first dates require would-be partners to make and interpret first impressions. But, can we rely on these first impressions to accurately assess someone's personality? According to researchers from McGill University, the answer is yes, although it may be more difficult than in more casual settings. (2021-02-09)

Machine learning could aid mental health diagnoses
A way of using machine learning to more accurately identify patients with a mix of psychotic and depressive symptoms has been developed by researchers at the University of Birmingham. (2021-02-08)

How fast could SARS-CoV-2 be detected?
Researchers from Peking University developed an accurate, high-speed (?10 min for RNA analysis and ?5 min for immunoassay), portable bifunctional electrical detector based on graphene field-effect transistors for SARS-CoV-2 through either nucleic acid hybridization or antigen-antibody protein interaction. This approach enables high-throughput point-of-care testing outside of specialized diagnostic laboratories, which is of extreme importance for controlling the ongoing pandemic and support resumption of normal life and economic conditions. (2021-01-25)

Study updates breast cancer risk estimates for women with no family history
A new multi-institution study led by Fergus Couch, Ph.D., a Mayo Clinic pathologist, provides more accurate estimates of breast cancer risk for U.S. women who harbor inherited mutations in breast cancer predisposition genes. The findings of the CARRIERS Consortium study, published Jan. 20 in The New England Journal of Medicine, may allow health care providers to better assess the risk of breast cancer in women ? many of whom have no family history of breast cancer. (2021-01-21)

Angstrom multilayer metrology by combining spectral measurements and machine learning
The 3D-NAND is the most commercially successful 3D memory device today, and its demand is growing exponentially. As each layer thickness corresponds to the effective channel length, accurate characterization and control of layer-by-layer thickness is critical. Engineers in South Korea invented a nondestructive thickness characterization method of each layer in semiconductor multilayer stacks with more than 200 layers used for 3D-NAND. The method will provide new ways for total inspection in 3D semiconductor device manufacturing. (2021-01-20)

Improving long-term climate calculations
Climate researchers have found a simple but efficient way to improve estimations of ultimate global warming from complex climate models. The finding is relevant for the evaluation and comparison of climate models and thus for accurate projections of future climate change - especially beyond the year 2100. (2021-01-19)

New method makes better predictions of material properties using low quality data
By combining large amounts of low-fidelity data with smaller quantities of high-fidelity data, nanoengineers from the Materials Virtual Lab at UC San Diego have developed a new machine learning method to predict the properties of materials with more accuracy than existing models. Crucially, their approach is also the first to predict the properties of disordered materials--those with atomic sites that can be occupied by more than one element, or can be vacant. (2021-01-14)

New method helps pocket-sized DNA sequencer achieve near-perfect accuracy 
Researchers have found a simple way to eliminate almost all sequencing errors produced by a widely used portable DNA sequencer (Oxford Nanopore Technologies' MinION device). (2021-01-12)

Researchers speed up analysis of Arctic ice and snow data through AI
Professors at University of Maryland, Baltimore County have developed an artificial intelligence technique to quickly analyze newly collected data based on Arctic ice and snow thickness. Researchers previously analyzed these data manually; this AI will assist them by automating how they detect and analyze patterns in the thickness of the ice. Climate change necessitates a rapid understanding of new developments in the Arctic ice, and this tool provides a faster solution. (2021-01-12)

Ferrofluid surface simulations go more than skin deep
Computer models efficiently and accurately simulate the magnetic responses of ferrofluids by considering only the fluid's surface. (2021-01-10)

Reliable COVID-19 test could reduce virus spread
Results of a unique test developed by a world-renowned expert, which targets three viral genes to increase reliability and could cut COVID-19 detection time to 20 minutes, have been peer reviewed and published in the journal Scientific Reports. (2020-12-17)

Fibrous protein finding may lead to improved bioprinting, tissue engineering
Fibrous proteins such as collagen and fibrinogen form a thin solid layer on the surface of an aqueous solution similar to the 'skin' that forms on warm milk, according to a team of Penn State Researchers, who believe this finding could lead to more efficient bioprinting and tissue engineering. (2020-12-17)

New research could lead to better eyewitness recall in criminal investigations
A team of researchers, including faculty at Binghamton University, State University of New York, explore ways to potentially improve the recall of eyewitnesses in a new paper in the Journal of Cognitive Psychology. (2020-12-16)

New computational method validates images without 'ground truth'
Researchers from the McKelvey School of Engineering have developed a computational method that allows them to determine not if an entire imaging picture is accurate, but if any given point on the image is probable, based on the assumptions built into the model. (2020-12-11)

What makes COVID misinformation so tough to stop on social media
A recent study highlights two of the reasons that misinformation about COVID-19 is so difficult to tackle on social media: most people think they're above average at spotting misinformation; and misinformation often triggers negative emotions that resonate with people. The findings may help communicators share accurate information more effectively. (2020-12-07)

A French team has improved the measurement of a fundamental physical constant
A team of French researchers has just conducted the most accurate measurement to date of the fine-structure constant, which characterizes the strength of interaction between light and charged elementary particles, such as electrons. This value has just been determined with an accuracy of 11 significant digits; improving the precision of the previous measurement by a factor of 3. (2020-12-02)

Next step in simulating the universe
Researchers led by the University of Tsukuba developed a way to accurately represent the behavior of elementary particles called neutrinos in computer simulations of the Universe. The simulation results reveal the effects of neutrinos on the formation and growth of galaxies for different values of the uncertain neutrino mass. The work marks a milestone in simulating the Universe and could help determine the neutrino mass. (2020-12-01)

Surrey's new hybrid X-ray detector goes toe-to-toe with state-of-the-art rivals
A new hybrid X-ray detector developed by the University of Surrey outperforms commercial devices - and could lead to more accurate cancer therapy. (2020-11-26)

NUS researchers invent flexible and highly reliable sensor
Known as Tactile Resistive Annularly Cracked E-Skin (TRACE), this novel sensor material developed by the National University of Singapore researchers is five times better than conventional soft materials, and could be used in wearable health technology devices, or in robotics to perceive surface texture. (2020-11-02)

OPD optical sensors that reproduce any color
POSTECH Professor Dae Sung Chung's team uses chemical doping to freely control the colors of organic photodiodes. (2020-10-21)

Old methods prove true for studying proteins
A decades-old technique for probing protein motions proves more accurate than current practices. (2020-10-17)

New global temperature data will inform study of climate impacts on health, agriculture
A new data set provides high-resolution, daily temperatures from around the globe that could prove valuable in studying human health impacts from heat waves, risks to agriculture, droughts, potential crop failures, and food insecurity. (2020-10-13)

Psychology: Human spatial memory prioritizes high calorie foods
Humans more accurately recall the locations of high calorie than low calorie foods, according to a study in Scientific Reports. The findings suggest that human spatial memory, which allows people to remember where objects are in relation to each another, has evolved to prioritize the location of high calorie foods. (2020-10-08)

Skoltech research makes it easier to pinpoint brain activity in EEG studies
Skoltech researchers have proposed a fast and accurate numerical method of addressing the problem plaguing electroencephalography (EEG) studies that monitor the brain's electrical activity -- having to laboriously locate the source of EEG signal in the brain due to the low spatial resolution of this method. (2020-09-29)

Solar storm forecasts for Earth improved with help from the public
Scientists used observations recorded by members of the public to increase accuracy of computer model predictions of when harmful CMEs will hit Earth. (2020-09-18)

Research unravels what makes memories so detailed and enduring
In years to come, our personal memories of the COVID-19 pandemic are likely to be etched in our minds with precision and clarity, distinct from other memories of 2020. (2020-09-08)

AI accurately identifies infants with low risk of serious bacterial infection
Artificial intelligence, or 'supervised machine learning,' could help identify which well-appearing infants with fever, who are 60 days old or younger, are at low risk for a serious bacterial infection, according to a study published in Pediatrics. Accurate risk determination could reduce unnecessary lumbar puncture, antibiotics and hospitalizations for these infants, as well as decreasing parental anxiety. (2020-08-27)

Computers excel in chemistry class
Machine learning models can rapidly and accurately estimate key chemical parameters related to molecular reactivity. (2020-08-25)

A new, 20-minute assay for COVID-19 diagnosis
Researchers have developed a new test that can diagnose COVID-19 in just 20 minutes. The findings, published in the Journal of Medical Microbiology, show the rapid molecular test called N1-STOP-LAMP, is 100% accurate in diagnosing samples containing SARS-CoV-2 at high loads. (2020-08-13)

Technology can help speed soil recovery after oil spills
Researchers use spectroscopy to quickly and cheaply analyze soils samples. (2020-08-12)

Magnesium alloy with eddy-thermal effect for novel tumor magnetic hyperthermia therapy
Magnetic hyperthermia therapy (MHT) as a noninvasive local treatment strategy is able to ablate tumors. There is still a demand to find new magnetocaloric agents with strong AMF-induced heating performance and excellent biocompatibility. The eddy thermal effect of magnesium alloy (MgA) could be employed for MHT to effectively ablate tumors was reported by scientists based in China. Considering the wide clinical use of implantable MgA devices, such a strategy holds great promise in clinical translation. (2020-08-10)

Using air to amplify light
In a promising breakthrough for the future of communications, EPFL researchers have developed a technology that can amplify light in the latest hollow-core optical fibers. (2020-08-10)

Shortening of average serial interval over time indicates isolation effectively limits COVID-19 transmission
A new analysis of SARS-CoV-2 transmission data in China shows that faster identification and isolation of infected, symptomatic individuals contributed to the shortening of the average serial interval - or the period between the onset of symptoms in successive cases - over time, as fewer opportunities occurred for viral transmission from one infector to more individuals. (2020-07-21)

Researchers boost koala spotting system
QUT researchers have published an improved and innovative method for estimating the number of koalas in an area detected by using drones and an artificial intelligent algorithm as they continue the quest of identifying surviving koala populations in bushfire areas. (2020-07-20)

Machine learning accurately predicts who's who in the health care workforce
Until recently, economists, policy makers and workforce experts have relied on outdated and inaccurate snapshots of the US physician workforce, making it especially difficult to predict the need and availability of health care services across the country. In this study, Wingrove et al examine how machine learning algorithms may allow for more real-time, accurate descriptions of the medical workforce. (2020-07-14)

New material, modeling methods promise advances in energy storage
The explosion of mobile electronic devices, electric vehicles, drones and other technologies have driven demand for new lightweight materials that can provide the power to operate them. New research led by a UH engineer suggests advances in energy storage. (2020-06-04)

Vision loss influences perception of sound
People with severe vision loss can less accurately judge the distance of nearby sounds, potentially putting them more at risk of injury. (2020-06-03)

New ECU research finds 'Dr. Google' is almost always wrong
Many people turn to 'Dr. Google' to self-diagnose their health symptoms and seek medical advice, but online symptom checkers are only accurate about a third of the time, according to new Edith Cowan University (ECU) research published in the Medical Journal of Australia today. (2020-05-17)

Smartphone videos produce highly realistic 3D face reconstructions
Normally, it takes pricey equipment and expertise to create an accurate 3D reconstruction of someone's face. Now, Carnegie Mellon University researchers have pulled off the feat using video recorded on an ordinary smartphone. Shooting a continuous video of the front and sides of the face generates a dense cloud of data. A two-step process developed by CMU's Robotics Institute uses that data, with some help from deep learning algorithms, to build a digital reconstruction of the face. (2020-04-01)

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