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Forest ecosystems of the future will have to cope with very different conditions to those of today. For this reason, researchers at the Technical University of Munich (TUM) state that a strategic approach to forest management is crucial. To this end, the research team has developed iLand: a simulation model that can compute long-term developments of large forest landscapes, right down to the individual tree—including disturbances from bark beetles to wildfires.
Charred tree trunks and blackened soil are typical of the desolation that a forest fire leaves behind. Inevitably, the question arises whether it will be possible to restore a green natural landscape. According to Rupert Seidl, Professor of Ecosystem Dynamics and Forest Management, this is possible, but the “how” decides how much the new forest will benefit the climate, nature and people.
“Today’s forest ecosystems are not particularly well adapted to future climate conditions,” says Seidl. “Over the next decades they will presumably come under increasing pressure from water shortage and insect pests, and may even die off. This is why it makes sense to use measures such as the reforestation of disturbed areas to strategically select tree species and take future developments into consideration.”
Therapeutic mRNAs offer great potential as a versatile and precise tool against cancer and other diseases. However, the therapeutic effectiveness is limited by the poor translation uptake of naked mRNA. To circumvent this challenge, researchers from VIB, VUB, Ghent University, and eTheRNA Immunotherapies developed an immunotherapeutic platform based on lipid-based nanoparticles (LNPs).
In different cancer models, applying a novel mixture of immunotherapeutic mRNA encapsulated in LNPs led to a clearly improved therapeutic efficacy with limited side effects. This proves the added value of the platform to the development of effective mRNA immunotherapies. The work is published in the journal Nature Communications.
The COVID-19 pandemic and recent Nobel Prize recognition have spotlighted mRNA therapies as a promising approach for diseases like cancer. With precision, scalability, and controlled immune activation, mRNA-based immunotherapy can encode proteins that stimulate the immune system to target and destroy cancer cells. Yet, naked mRNA is unstable, prone to degradation, and poorly absorbed by cells, limiting its effectiveness. This makes the development of reliable delivery methods essential for the future success of mRNA immunotherapies.
Don Pettit packed a home-made tracker to space, allowing him to bless our timelines with long-exposure images.
A new USC Stem Cell study published in the Proceedings of the National Academy of Sciences has identified key gene regulators that enable some deafened animals—including fish and lizards—to naturally regenerate their hearing. The findings could guide future efforts to stimulate the regeneration of sensory hearing cells in patients with hearing loss and balance disorders.
Led by first author Tuo Shi and co-corresponding authors Ksenia Gnedeva and Gage Crump at the Keck School of Medicine of USC, the study focuses on two cell types in the inner ear: the sensory cells that detect sound, and the supporting cells that create an environment where sensory cells can thrive.
In highly regenerative species such as fish and lizards, supporting cells can also transform into replacement sensory cells after injury—a capacity absent in humans, mice and all other mammals.
Researchers have developed a new computational method to explore the neutron matter inside neutron stars at densities higher than previously studied.
This method provides insights into the behavior of neutrinos during supernova explosions, enhancing the accuracy of simulations and potentially improving our understanding of such cosmic events.
Advances in Neutron Matter Simulation.
A team of scientists from the United States, Italy, and China may have finally explained a large gap in the African and Eurasian fossil record. According to a model in a study published August 31 in the journal Science, the population of human ancestors crashed between 800,000 and 900,000 years ago. They estimate that there were only 1,280 breeding individuals alive during this transition between the early and middle Pleistocene. About 98.7 percent of the ancestral population was lost at the beginning of this ancestral bottleneck that lasted for roughly 117,000 years, according to the study.
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There are contexts where human cognitive and emotional intelligence takes precedence over AI, which serves a supporting role in decision-making without overriding human judgment. Here, AI “protects” human cognitive processes from things like bias, heuristic thinking, or decision-making that activates the brain’s reward system and leads to incoherent or skewed results. In the human-first mode, artificial integrity can assist judicial processes by analyzing previous law cases and outcomes, for instance, without substituting a judge’s moral and ethical reasoning. For this to work well, the AI system would also have to show how it arrives at different conclusions and recommendations, considering any cultural context or values that apply differently across different regions or legal systems.
4 – Fusion Mode:
Artificial integrity in this mode is a synergy between human intelligence and AI capabilities combining the best of both worlds. Autonomous vehicles operating in Fusion Mode would have AI managing the vehicle’s operations, such as speed, navigation, and obstacle avoidance, while human oversight, potentially through emerging technologies like Brain-Computer Interfaces (BCIs), would offer real-time input on complex ethical dilemmas. For instance, in unavoidable crash situations, a BCI could enable direct communication between the human brain and AI, allowing ethical decision-making to occur in real-time, and blending AI’s precision with human moral reasoning. These kinds of advanced integrations between humans and machines will require artificial integrity at the highest level of maturity: artificial integrity would ensure not only technical excellence but ethical robustness, to guard against any exploitation or manipulation of neural data as it prioritizes human safety and autonomy.
What processes are responsible for dust storms on Mars? This is what a study presented today at the American Geophysical Union 2024 Fall Meeting hopes to address as a pair of researchers from the University of Colorado Boulder (CU Boulder) investigated the causes behind the massive dust storms on Mars, which periodically grow large enough to engulf the entire planet. This study holds the potential to help researchers predict dust storms on Mars, which could help current and future robotic missions survive these calamities, along with future human crews to the Red Planet.
“Dust storms have a significant effect on rovers and landers on Mars, not to mention what will happen during future crewed missions to Mars,” said Heshani Pieris, who is a PhD Candidate in planetary science at CU Boulder and lead author of the study. “This dust is very light and sticks to everything.”
For the study, the researchers examined 15 (Earth) years of data obtained from NASA’s Mars Reconnaissance Orbiter (MRO) to ascertain the processes responsible for kickstarting dust storms. After analyzing countless datasets of Martian surface temperatures, the researchers found that 68 percent of large dust storms on Mars resulted from spikes in surface temperatures during periods of increased sunlight through Mars’ thin atmosphere.
They say beauty is in the eye of the beholder – and for physicists, beauty is in numbers.
Pedro Vieira, Clay Riddell Dirac Chair in Theoretical Physics at Perimeter Institute, is currently teaching a non-credit minicourse about ‘beautiful’ papers in physics. The course alternates between lectures on nine influential papers and student-led presentations about how these monumental papers influenced physics.
This is Vieira’s second time running the course and his first time offering it at Perimeter. He says the course is a way to cover spectacular papers while helping students understand the language of quantum field theory.
