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Categories: Biology: Botany, Mathematics: Modeling

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The speed of environmental change is very challenging for wild organisms. When exposed to a new environment individual plants and animals can potentially adjust their biology to better cope with new pressures they are exposed to -- this is known as phenotypic plasticity. New research shows that early plasticity can influence the ability to subsequently evolve genetic adaptations to conquer new habitats.

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A handful of hyper-productive fisheries provide sustenance to a billion people and employ tens of millions. These fisheries occur on the eastern edges of the world's oceans -- off the West Coast of the U.S., the Canary Islands, Peru, Chile, and Benguela. There, a process called upwelling brings cold water and nutrients to the surface, which in turn supports large numbers of larger sea creatures that humans depend on for sustenance. A new project is seeking to understand how changes to the climate and oceans will impact fisheries in the U.S. and around the world.

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In the 'butterfly effect,' an insect can flap its wings and create a microscopic change in initial conditions that leads to a hurricane halfway around the world. This chaos is seen everywhere, from weather to labor markets to brain dynamics. And now researchers explored how to turn the twisting, fractal structures behind the science into jewelry with 3D printing. The jewelry shapes are based on the Chua circuit, a simple electronic system that was the first physical, mathematical, and experimental proof of chaos.

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A researcher has created a computer reconstruction of a virus, including its complete native genome. Although other researchers have created similar reconstructions, this is believed to be the first to replicate the exact chemical and 3D structure of a 'live' virus.

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Artificial intelligence (AI) may help improve care for patients who show up at the hospital with acute chest pain, according to a new study.

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Using artificial intelligence, engineers have simplified and reinforced models that accurately calculate the fine particulate matter (PM2.5) -- the soot, dust and exhaust emitted by trucks and cars that get into human lungs -- contained in urban air pollution.

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Combing computational physics with experimental data, researchers have developed computer models for determining a drug candidate's ability to target and bind to proteins within cells.

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Only a fraction of the 7,000 to 8,000 languages spoken around the world benefit from modern language technologies like voice-to-text transcription, automatic captioning, instantaneous translation and voice recognition. Researchers want to expand the number of languages with automatic speech recognition tools available to them from around 200 to potentially 2,000.

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Researchers are employing sparsification, a method from graph theory and computer science, to identify which links in a network are the most important for the spread of disease.

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A new paper presents a mathematical model for the motion of bacteria that includes cell division and death, the basic ingredients of the cell cycle.

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Researchers have developed a novel machine-learning framework that uses scene descriptions in movie scripts to automatically recognize different characters' actions. Applying the framework to hundreds of movie scripts showed that these actions tend to reflect widespread gender stereotypes, some of which are found to be consistent across time.

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A small tax on robots, as well as on trade generally, will help reduce income inequality in the U.S., according to economists.

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Researchers suggest how scientists can circumvent the need for massive data sets to forecast extreme events with the combination of an advanced machine learning system and sequential sampling techniques.

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Researchers have developed an AI based neural network to detect an early knee osteoarthritis from x-ray images. AI was able to match a doctors' diagnosis in 87% of cases. The result is important because x-rays are the primary diagnostic method for early knee osteoarthritis. An early diagnosis can save the patient from unnecessary examinations, treatments and even knee joint replacement surgery.

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A new study shows machine-learning models trained using simple symptoms, demographic features are effective in predicting COVID-19 infections.

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Using a novel modeling method, a team of researchers gained new insights into how hummingbirds produce wing movement, which could lead to design improvements in flying robots.

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Mathematical analysis identifies a vortex structure that is impervious to decay.

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The reliability of data storage and writing speed in advanced magnetic devices depend on drastic, complex changes in microscopic magnetic domain structures. However, it is extremely challenging to quantify these changes, limiting our understanding of magnetic phenomena. To tackle this, researchers developed, using machine learning and topology, an analysis method that quantifies the complexity of the magnetic domain structures, revealing hidden features of magnetization reversal that are hardly seen by human eyes.

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In a laboratory experiment, researchers have succeeded in realizing an effective spacetime that can be manipulated. In their research on ultracold quantum gases, they were able to simulate an entire family of curved universes to investigate different cosmological scenarios and compare them with the predictions of a quantum field theoretical model.

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With the theory that for every action, even those seemingly complex and random, there is a math problem that describes it, a researcher is publishing a new formula that helps find that equation quickly. Yes, he's speeding up science.