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Categories: Ecology: Trees, Mathematics: Modeling
Published New maps help decision-makers factor albedo into tree-planting decisions
(via sciencedaily.com) Original source A new study provides a global analysis of where restoration of tree cover is most effective at cooling the global climate system, considering not just the cooling from carbon storage but also the warming from decreased albedo. The researchers provide a tool practitioners and land managers can use to determine just how much of a problem albedo is for any reforestation or afforestation project on the globe.
Published Seeing the forest for the trees: Species diversity is directly correlated with productivity in eastern U.S. forests
(via sciencedaily.com) Original source When officials make tough calls on which areas to prioritize for conservation, biodiversity is often their top consideration. But there are several types of diversity, and not all of them overlap perfectly. In a new study, researchers analyzed 20-years' worth of U.S. Forest Service data and show that the simplest measure of diversity is the best predictor of healthy forest growth, providing a roadmap for quickly and efficiently protecting ecological resources.
Published Rectifying AI's usage in the quest for thermoelectric materials
(via sciencedaily.com) Original source AI is revolutionizing the way researchers seek to identify new materials, but it still has some shortcomings. Now, a team of researchers has navigated AI's pitfalls to identify a thermoelectric material that boasts remarkable properties.
Published Physicists develop modeling software to diagnose serious diseases
(via sciencedaily.com) Original source Researchers have recently published FreeDTS -- a shared software package designed to model and study biological membranes at the mesoscale -- the scale 'in between' the larger macro level and smaller micro level. This software fills an important missing software among the available biomolecular modeling tools and enables modeling and understanding of many different biological processes involving the cellular membranes e.g. cell division.
Published Powerful new AI can predict people's attitudes to vaccines
(via sciencedaily.com) Original source A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19.
Published New technique helps AI tell when humans are lying
(via sciencedaily.com) Original source Researchers have developed a new training tool to help artificial intelligence (AI) programs better account for the fact that humans don't always tell the truth when providing personal information. The new tool was developed for use in contexts when humans have an economic incentive to lie, such as applying for a mortgage or trying to lower their insurance premiums.
Published Why do tree frogs lay their eggs on the ground?
(via sciencedaily.com) Original source A curious aspect of tree frogs is that they often lay their eggs on the ground where the risk of predation by natural enemies is greater than in the trees where they live. A research team suggested that the reason for this behavior is to protect the eggs from low temperatures. Their findings highlight the challenge faced by tree frogs: Should they attempt to maintain an optimal temperature for their eggs or risk predation?
Published Vac to the future
(via sciencedaily.com) Original source Scientists recently published the results of a competition that put researchers to the test. For the competition, part of the NIH-funded Computational Models of Immunity network, teams of researchers from different institutions offered up their best predictions regarding B. pertussis (whooping cough) vaccination.
Published Researchers can reveal illegal timber exports
(via sciencedaily.com) Original source A new method of timber analysis can confidently identify the location in which the tree was harvested. The method has been developed with the aim of combating illegal timber imports from Russia and Belarus.
Published AI for astrophysics: Algorithms help chart the origins of heavy elements
(via sciencedaily.com) Original source The origin of heavy elements in our universe is theorized to be the result of neutron star collisions, which produce conditions hot and dense enough for free neutrons to merge with atomic nuclei and form new elements in a split-second window of time. Testing this theory and answering other astrophysical questions requires predictions for a vast range of masses of atomic nuclei. Scientists are using machine learning algorithms to successfully model the atomic masses of the entire nuclide chart -- the combination of all possible protons and neutrons that defines elements and their isotopes.
Published Researchers develop a new control method that optimizes autonomous ship navigation
(via sciencedaily.com) Original source Existing ship control systems using Model Predictive Control for Maritime Autonomous Surface Ships (MASS) do not consider the various forces acting on ships in real sea conditions. Addressing this gap, researchers developed a novel time-optimal control method, that accounts for the real wave loads acting on a ship, enabling effective planning and control of MASS at sea.
Published Summer solstice triggers synchronized beech tree reproduction across Europe
(via sciencedaily.com) Original source A new study has found that the summer solstice acts as a 'starting gun' to synchronize beech tree reproduction across vast distances in Europe, affecting ecosystem functions.
Published Giant sequoias are a rapidly growing feature of the UK landscape
(via sciencedaily.com) Original source Imported giant sequoia trees are well adapted to the UK, growing at rates close to their native ranges and capturing large amounts of carbon during their long lives, finds a new study.
Published Rainforest's next generation of trees threatened 30 years after logging
(via sciencedaily.com) Original source Rainforest seedlings are more likely to survive in natural forests than in places where logging has happened -- even if tree restoration projects have taken place, new research shows.
Published How do neural networks learn? A mathematical formula explains how they detect relevant patterns
(via sciencedaily.com) Original source Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to healthcare. But these networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team has given neural networks the equivalent of an X-ray to uncover how they actually learn.
Published Mapping the future's sweet spot for clean energy and biodiversity
(via sciencedaily.com) Original source A new study of Joshua trees, kit foxes and solar energy developments highlights the need to consider climate-induced range shifts for species as we expand clean energy.
Published Balancing training data and human knowledge makes AI act more like a scientist
(via sciencedaily.com) Original source When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training -- such as the laws of physics --could make them more efficient and more reflective of the real world. However, helping the AI assess the value of different rules can be a tricky task.
Published Method rapidly verifies that a robot will avoid collisions
(via sciencedaily.com) Original source A new safety-check technique can prove with 100 percent accuracy that a planned robot motion will not result in a collision. The method can generate a proof in seconds and does so in a way that can be easily verified by a human.
Published Earth's earliest forest revealed in Somerset fossils
(via sciencedaily.com) Original source The oldest fossilized forest known on Earth -- dating from 390 million years ago -- has been found in the high sandstone cliffs along the Devon and Somerset coast of South West England.
Published Running performance helped by mathematical research
(via sciencedaily.com) Original source A new mathematical model has shown, with great precision, the impact that physiological and psychological parameters have on running performance and provides tips for optimized training.