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Categories: Ecology: Trees, Mathematics: Modeling

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Energy: Alternative Fuels Environmental: General Mathematics: Modeling
Published

Moving beyond the 80-year-old solar cell equation      (via sciencedaily.com)     Original source 

Physicists have made a significant breakthrough in solar cell technology by developing a new analytical model that improves the understanding and efficiency of thin-film photovoltaic (PV) devices.

Mathematics: Modeling
Published

AI model finds the cancer clues at lightning speed      (via sciencedaily.com)     Original source 

AI model finds the cancer clues at lightning speed. Researchers have developed an AI model that increases the potential for detecting cancer through sugar analyses. The AI model is faster and better at finding abnormalities than the current semi-manual method.

Mathematics: Modeling
Published

Can A.I. tell you if you have osteoporosis? Newly developed deep learning model shows promise      (via sciencedaily.com)     Original source 

Researchers have developed a novel deep learning algorithm that outperformed existing computer-based osteoporosis risk prediction methods, potentially leading to earlier diagnoses and better outcomes for patients with osteoporosis risk.

Mathematics: Modeling
Published

Study reveals why AI models that analyze medical images can be biased      (via sciencedaily.com)     Original source 

Researchers have found that artificial intelligence models that are most accurate at predicting race and gender from X-ray images also show the biggest 'fairness gaps' -- that is, discrepancies in their ability to accurately diagnose images of people of different races or genders.

Biology: Biochemistry Biology: Biotechnology Biology: Cell Biology Biology: General Biology: Genetics Biology: Molecular Mathematics: Modeling
Published

New deep-learning model outperforms Google AI system in predicting peptide structures      (via sciencedaily.com)     Original source 

Researchers have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides -- chains of amino acids that are shorter than proteins, but perform similar biological functions. Peptides are known to be highly flexible, taking on a wide range of folding patterns, and are thus involved in many biological processes of interest to researchers in the development of therapeutics.

Ecology: General Ecology: Invasive Species Ecology: Nature Ecology: Research Ecology: Trees Environmental: Ecosystems Environmental: General Environmental: Wildfires
Published

Fuel treatments reduce future wildfire severity      (via sciencedaily.com)     Original source 

There is a common belief that prescribed burning, thinning trees, and clearing underbrush reduce risks of the severity of future fires. But is that true? A new project analyzing 40 studies where wildfire burned into different vegetation treatments, spanning 11 western states. Researchers found overwhelming evidence that in seasonally dry mixed conifer forests in the western U.S., reducing surface and ladder fuels and tree density through thinning, coupled with prescribed burning or pile burning, could reduce future wildfire severity by more than 60% relative to untreated areas.

Biology: Biochemistry Biology: Botany Biology: Cell Biology Biology: Evolutionary Biology: General Biology: Zoology Ecology: Animals Ecology: Nature Ecology: Trees
Published

New tomato, potato family tree shows that fruit color and size evolved together      (via sciencedaily.com)     Original source 

A new family tree of the plant genus Solanum helps explain the striking diversity of their fruit color and size. This genus includes tomatoes, potatoes, eggplants, and other economically important plants.

Chemistry: Biochemistry Computer Science: Artificial Intelligence (AI) Computer Science: Virtual Reality (VR) Mathematics: Modeling Offbeat: Computers and Math Offbeat: General
Published

Prying open the AI black box      (via sciencedaily.com)     Original source 

Meet SQUID, a new computational tool. Compared with other genomic AI models, SQUID is more consistent, reduces background noise, and can yield better predictions regarding critical mutations. The new system aims to bring scientists closer to their findings' true medical implications.

Biology: General Biology: Zoology Mathematics: Modeling
Published

Unifying behavioral analysis through animal foundation models      (via sciencedaily.com)     Original source 

Behavioral analysis can provide a lot of information about the health status or motivations of a living being. A new technology makes it possible for a single deep learning model to detect animal motion across many species and environments. This 'foundational model', called SuperAnimal, can be used for animal conservation, biomedicine, and neuroscience research.

Mathematics: General Mathematics: Modeling Offbeat: Computers and Math Offbeat: General
Published

Can AI learn like us?      (via sciencedaily.com)     Original source 

Scientists have developed a new, more energy-efficient way for AI algorithms to process data. His model may become the basis for a new generation of AI that learns like we do. Notably, these findings may also lend support to neuroscience theories surrounding memory's role in learning.

Biology: General Biology: Microbiology Ecology: Trees
Published

Wooden surfaces may have natural antiviral properties      (via sciencedaily.com)     Original source 

Viruses, including the coronavirus that causes COVID-19, can get passed from person to person via contaminated surfaces. But can some surfaces reduce the risk of this type of transmission without the help of household disinfectants? Wood has natural antiviral properties that can reduce the time viruses persist on its surface -- and some species of wood are more effective than others at reducing infectivity.

Computer Science: General Mathematics: Modeling
Published

Simplicity versus adaptability: Understanding the balance between habitual and goal-directed behaviors      (via sciencedaily.com)     Original source 

Scientists have proposed a new AI method in which systems of habitual and goal-directed behaviors learn to help each other. Through computer simulations that mimicked the exploration of a maze, the method quickly adapts to changing environments and also reproduced the behavior of humans and animals after they had been accustomed to a certain environment for a long time. The study not only paves the way for the development of systems that adapt quickly and reliably in the burgeoning field of AI, but also provides clues to how we make decisions in the fields of neuroscience and psychology.

Chemistry: Biochemistry Chemistry: General Chemistry: Inorganic Chemistry Chemistry: Organic Chemistry Mathematics: Modeling Physics: Optics
Published

Custom-made molecules designed to be invisible while absorbing near-infrared light      (via sciencedaily.com)     Original source 

Researchers used theoretical calculations assessing electron orbital symmetry to synthesize new molecule designed to be both transparent and colorless while absorbing near-infrared light. This compound demonstrates the first systematic approach to producing such materials and have applications in advanced electronics. This compound also shows semiconducting properties.

Computer Science: Artificial Intelligence (AI) Computer Science: General Engineering: Robotics Research Mathematics: Modeling
Published

Researchers use large language models to help robots navigate      (via sciencedaily.com)     Original source 

A technique can plan a trajectory for a robot using only language-based inputs. While it can't outperform vision-based approaches, it could be useful in settings that lack visual data to use for training.

Computer Science: Quantum Computers Geoscience: Earth Science Geoscience: Severe Weather Mathematics: Modeling Physics: General Physics: Quantum Computing Physics: Quantum Physics
Published

Quantum data assimilation: A quantum leap in weather prediction      (via sciencedaily.com)     Original source 

Data assimilation is an important mathematical discipline in earth sciences, particularly in numerical weather prediction (NWP). However, conventional data assimilation methods require significant computational resources. To address this, researchers developed a novel method to solve data assimilation on quantum computers, significantly reducing the computation time. The findings of the study have the potential to advance NWP systems and will inspire practical applications of quantum computers for advancing data assimilation.

Ecology: Trees Environmental: Ecosystems Environmental: Wildfires Geoscience: Geography
Published

New way to spot beetle-killed spruce can help forest, wildfire managers      (via sciencedaily.com)     Original source 

A new machine-learning system can automatically produce detailed maps from satellite data to show locations of likely beetle-killed spruce trees in Alaska, even in forests of low and moderate infestation where identification is otherwise difficult. The automated process can help forestry and wildfire managers in their decisions. That's critical as the beetle infestation spreads.

Biology: Botany Ecology: Trees Environmental: General Geoscience: Environmental Issues
Published

Early life exposure to weed pollen could increase childhood asthma risk      (via sciencedaily.com)     Original source 

A study has found children who are exposed to tree and weed pollen in urban environments are at increased risk of respiratory health problems, including asthma. While green areas in urban settings decrease exposure to air pollution, allow kids to be active, and offer positive contact to a diverse microbiota -- which in turn may help the positive development of a child's immune system -- they can also lead to the development of childhood asthma. Thankfully, trees can help mitigate this effect to some degree, thanks to their canopy.

Mathematics: General Mathematics: Modeling Mathematics: Puzzles
Published

Peers crucial in shaping boys' confidence in math skills      (via sciencedaily.com)     Original source 

Boys are good at math, girls not so much? A study has analyzed the social mechanisms that contribute to the gender gap in math confidence. While peer comparisons seem to play a crucial role for boys, girls' subjective evaluations are more likely to be based on objective performance.