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How UK, South Africa coronavirus variants escape immunity
TACC’s Frontera supercomputer aids in building infection models of COVID-19 variants. The UK variant, also known as B.1.1.7, was first detected in September 2020, and is now causing 98 percent of all COVID-19 cases in the United Kingdom. And it appears to be gaining a firm grip in about 100 other countries it has spread…
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A theoretical boost to nano-scale devices
Researchers have developed a new approach to the underlying physics of semiconductors. They calculated the quasi-Fermi levels in molecular junctions applying an ab initio approach. Devices using semiconductors, from computers to solar cells, have enjoyed tremendous efficiency improvements in the last few decades. Famously, one of the co-founders of Intel, Gordon Moore, observed that the…
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Thin and ultra-fast photodetector sees the full spectrum
Researchers have developed the world’s first photodetector that can see all shades of light, in a prototype device that radically shrinks one of the most fundamental elements of modern technology. Photodetectors work by converting information carried by light into an electrical signal and are used in a wide range of technologies, from gaming consoles to…
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Mathematical modeling to identify factors that determine adaptive therapy success
Researchers report results from their study using mathematical modeling to show that cell turnover impacts drug resistance and is an important factor that governs the success of adaptive therapy. Cancer treatment options have increased substantially over the past few decades; however, many patients eventually develop drug resistance. Physicians strive to overcome resistance by either trying…
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Novel method predicts if COVID-19 clinical trials will fail or succeed
Researchers have modeled COVID-19 completion versus cessation in clinical trials using machine learning algorithms and ensemble learning. Researchers from Florida Atlantic University’s College of Engineering and Computer Science are the first to model COVID-19 completion versus cessation in clinical trials using machine learning algorithms and ensemble learning. The study, published in PLOS ONE, provides the…
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3D face photos could be a sleep apnea screening tool
Facial features analyzed from 3D photographs could predict the likelihood of having obstructive sleep apnea, according to a new study. Using 3D photography, the study found that geodesic measurements — the shortest distance between two points on a curved surface — predicted with 89 percent accuracy which patients had sleep apnea. Using traditional 2D linear…
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Mathematical modeling used to analyze dynamics of CAR T-cell therapy
Researchers use mathematical modeling to help explain why CAR T cells work in some patients and not in others. CAR T is a type of personalized immunotherapy that uses a patient’s own T cells to target cancer cells. T cells are harvested from a patient and genetically modified in a laboratory to add a specific…
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Human pancreas on a chip opens new possibilities for studying disease
Scientists created human pancreas on a chip that allowed them to identify the possible cause of a frequent and deadly complication of cystic fibrosis (CF) called CF-Related Diabetes, or CFRD. It may be feasible to also use the small two-chambered device, which features bioengineered human pancreatic organoids to study the causes of non-CF-related conditions such…
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Machine learning models to help photovoltaic systems find their place in the sun
Scientists develop algorithms that predict the output of solar cells, easing their integration into existing power grids. With the looming threat of climate change, it is high time we embrace renewable energy sources on a larger scale. Photovoltaic systems, which generate electricity from the nearly limitless supply of sunlight energy, are one of the most…
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Scientists discover how our circadian rhythm can be both strong and flexible
The combination of mathematical modeling and experiments identifies the difference in molecular clockworks of the master and slave clock neurons in Drosophila. This solves the long-standing mystery of the molecular mechanisms underlying how the circadian (~24h) clock can exhibit paradoxical characteristics of robustness (strong rhythms), and plasticity (flexible adaption). The discovery of the molecular mechanism…