KZG Ceremony Grant Round
The Protocol Support team is organizing a grant round to support the upcoming Ethereum KZG Ceremony. The KZG Ceremony is a coordinated public ritual that will provide a cryptographic foundation for Ethereum scaling initiatives like EIP-4844. Learn mor…
New robot does ‘the worm’ when temperature changes
A new gelatinous robot that crawls, powered by nothing more than temperature change and clever design, brings ‘a kind of intelligence’ to the field of soft robotics.
Discovery could explain why women are more likely to get Alzheimer’s
Scientists find that a modified immune protein harming brain connections is much more common in the brains of women with Alzheimer’s, compared to men.
Early humans may have first walked upright in the trees
Human bipedalism — walking upright on two legs — may have evolved in trees, and not on the ground as previously thought, according to a new study.
Are people with cluster headaches more likely to have other illnesses?
People with cluster headaches may be more than three times more likely to have other medical conditions such as heart disease, mental disorders and other neurologic diseases, according to a new study.
Ebola vaccine regimens safe, immunogenic in adults and children
Two randomized, placebo-controlled trials evaluating three Ebola vaccine administration strategies in adults and children found that all the regimens were safe in both age groups, according to new results. Antibodies were produced in response to the va…
Frequent genetic cause of late-onset ataxia
A new study reports the identification of a previously unknown genetic cause of a late-onset cerebellar ataxia, a discovery that will improve diagnosis and open new treatment avenues for this progressive condition.
Rich nations mobilise $15.5bn for Vietnam’s coal-to-clean transition
The deal will help Vietnam to peak its greenhouse gas emissions five years earlier than planned and scale up renewable energy generation
The post Rich nations mobilise $15.5bn for Vietnam’s coal-to-clean transition appeared first on Climate Home News.
Blood-based metabolic signature outperforms standard method for predicting diet, disease risk
Researchers have found a method using molecular profiling and machine learning to develop blood-based dietary signatures that more accurately assess diet and predict the risk of cardiovascular disease and type 2 diabetes. They say the metabolic snapsho…
Increasing forest cover in the Eifel region 11,000 years ago resulted in the local loss of megafauna
Sediment cores obtained from Eifel maar sites provide insight into the presence of large Ice Age mammals in Central Europe over the past 60,000 years: Overkill hypothesis not confirmed. Herds of megafauna, such as mammoth and bison, have roamed the pre…
Chaos gives the quantum world a temperature
Two seemingly different areas of physics are related in subtle ways: Quantum theory and thermodynamics. How can the laws of thermodynamics arise from the laws of quantum physics? This question has now been pursued with computer simulations, which showe…
Using machine learning to improve the toxicity assessment of chemicals
Researchers have developed a strategy for assessing the toxicity of chemicals using machine learning. The models developed in this study can lead to substantial improvements when compared to conventional ‘in silico’ assessments based on Quantitative St…
Olfactory viral inflammation associated with accelerated onset of Alzheimer’s disease
Viruses can inflame and disrupt connections between the olfactory system, which governs the sense of smell, and the part of the brain associated with memory and learning, possibly accelerating the onset of Alzheimer’s disease, according to a new study.
Preoperative immunotherapy for mesothelioma shows favorable outcomes
Researchers found that treating patients who have resectable malignant pleural mesothelioma, meaning that their tumor can be removed with surgery, with immunotherapy ahead of surgery resulted in favorable clinical outcomes.
Precision insights can be found in wastewater
Scientists have developed a machine learning model that uses the assortment of microbes found in wastewater to tease out how many individual people they represent.