Showing 20 articles starting at article 601
< Previous 20 articles Next 20 articles >
Categories: Biology: Marine, Mathematics: Modeling
Published A simpler method for learning to control a robot


A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data.
Published Dune restoration could increase the resilience of Southern California's urban beaches to sea level rise



Over the last several years, the residents of Santa Monica, a coastal city on the edge of Los Angeles, saw something neither they, their parents, or perhaps even their grandparents had ever seen before: a three-foot-tall dune system rising gently from the flat, groomed expanse of one of the world's most famous urban beaches. It's a six year alliance between sand, wind and vegetation, and, according to researchers, it's one way to enlist nature to help protect the coast from the impacts of climate change.
Published Arctic terns may navigate climate dangers



Arctic terns -- which fly on the longest migrations of any animal on Earth -- may be able to navigate the dangers posed by climate change, new research suggests.
Published Scientists discover new isopod species in the Florida Keys



Scientists have discovered a new species of marine cryptofauna in the Florida Keys. Cryptofauna are the tiny, hidden, organisms that make up the majority of biodiversity in the ocean. The tiny crustaceans are the first new gnathiid isopod to be discovered from the Floridian ecoregion in 100 years and are named after singer-songwriter Jimmy Buffett.
Published AI predicts the work rate of enzymes


Enzymes play a key role in cellular metabolic processes. To enable the quantitative assessment of these processes, researchers need to know the so-called 'turnover number' (for short: kcat) of the enzymes. A team of bioinformaticians now describes a tool for predicting this parameter for various enzymes using AI methods.
Published The economic life of cells


A team has combined economic theory with biology to understand how natural systems respond to change. The researchers noticed a similarity between consumers' shopping behavior and the behavior of metabolic systems, which convert food into energy in our bodies. The team focused on predicting how different metabolic systems might respond to environmental change by using an economic tool called the Slutsky equation. Their calculations indicated that very different metabolic systems actually share previously unknown universal properties, and can be understood using tools from other academic fields. Metabolic processes are used in drug development, bioengineering, food production and other industries, so being able to predict how such systems will respond to change can offer many benefits.
Published Supercomputer used to simulate winds that cause clear air turbulence


Using Japan's most powerful supercomputer, researchers reproduced cases of clear air turbulence around Tokyo. They simulated the fine vortices responsible for this dangerous phenomenon. The usefulness of the simulation in predicting turbulence was confirmed by comparing simulation data with data from aircraft recordings. This research should improve the forecasting of turbulence.
Published Researcher turns one of the basic rules of construction upside down



Structural engineers are familiar with seventeenth-century scientist Robert Hooke's theory that a hanging chain will mirror the shape of an upstanding rigid arch. However, new research now shows that this common-held belief is incorrect because, regardless of the similarities, the hanging chain and the arch are two incompatible mechanical systems.
Published Board games are boosting math ability in young children


Board games based on numbers, like Monopoly, Othello and Chutes and Ladders, make young children better at math, according to a comprehensive review of research published on the topic over the last 23 years.
Published Machine learning takes materials modeling into new era


The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a simulation technique that offers both high fidelity and scalability across different time and length scales has long been a roadblock for the progress of these technologies. Researchers have now pioneered a machine learning-based simulation method that supersedes traditional electronic structure simulation techniques. Their Materials Learning Algorithms (MALA) software stack enables access to previously unattainable length scales.
Published Deciphering the thermodynamic arrow of time in large-scale complex networks


A solution for temporal asymmetry -- or entropy production -- in thermodynamics has been developed to further our understanding of the behavior of biological systems, machine learning, and AI tools. The researchers worked on the time-irreversible Ising model dynamics caused by asymmetric connections between neurons.
Published Researchers teach an AI to write better chart captions



A new tool helps scientists develop machine-learning models that generate richer, more detailed captions for charts, and vary the level of complexity of a caption based on the needs of users. This could help improve accessibility for people with visual disabilities.
Published Evaluating cybersecurity methods



Researchers created a generic framework that enables an engineer or scientist to evaluate the effectiveness of defense schemes that seek to limit a hacker's ability to learn secret information by observing the behavior of a victim computer program.
Published Turning old maps into 3D digital models of lost neighborhoods



Imagine strapping on a virtual reality headset and 'walking' through a long-gone neighborhood in your city -- seeing the streets and buildings as they appeared decades ago. That's a very real possibility now that researchers have developed a method to create 3D digital models of historic neighborhoods using machine learning and historic Sanborn Fire Insurance maps.
Published Newly discovered Jurassic fossils in Texas



Scientists have filled a major gap in the state's fossil record -- describing the first known Jurassic vertebrate fossils in Texas. The weathered bone fragments are from the limbs and backbone of a plesiosaur, an extinct marine reptile.
Published New research finds that more than 90% of global aquaculture faces substantial risk from environmental change



Many of the world's largest aquatic food producers are highly vulnerable to human-induced environmental change, with some of the highest-risk countries in Asia, Latin America and Africa demonstrating the lowest capacity for adaptation, a landmark study has shown.
Published Gray whales off Oregon Coast consume millions of microparticles per day



Researchers estimate that gray whales feeding off the Oregon Coast consume up to 21 million microparticles per day, a finding informed in part by feces from the whales.
Published Megalodon was no cold-blooded killer



How the megalodon, a shark that went extinct 3.6 million years ago, stayed warm was a matter of speculation among scientists. Using an analysis of tooth fossils from the megalodon and other sharks of the same period, a study suggests the animal was able to maintain a body temperature well above the temperature of the water in which it lived. The finding could help explain why the megalodon went extinct during the Pliocene Epoch.
Published How coral reefs can survive climate change



Similar to the expeditions of a hundred or two hundred years ago, the Tara Pacific expedition lasted over two years. The goal: to research the conditions for life and survival of corals. The ship crossed the entire Pacific Ocean, assembling the largest genetic inventory conducted in any marine system to date. The team's 70 scientists from eight countries took around 58,000 samples from the hundred coral reefs studied.
Published 'We're all Asgardians': New clues about the origin of complex life



According to a new study, eukaryotes -- complex life forms with nuclei in their cells, including all the world's plants, animals, insects and fungi -- trace their roots to a common Asgard archaean ancestor. That means eukaryotes are, in the parlance of evolutionary biologists, a 'well-nested clade' within Asgard archaea, similar to how birds are one of several groups within a larger group called dinosaurs, sharing a common ancestor.