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Science News Archive February 2023 - Page 35


Page 35 of 36

Shining a light on the biological origins of PTSD

A Tufts-led team discovered a brain region marker that indicates vulnerability to developing post-traumatic stress disorder (PTSD). The study found heightened amygdala activation in response to neutral facial expressions, suggesting an acquired characteristic of PTSD. This finding may inform early intervention strategies for individual...

SourceTufts University·JournalJournal of Psychiatric Research·TypeExperimental study·DateFeb 1, 2023

Princeton researchers reveal microscopic quantum correlations of ultracold molecules

Princeton researchers have achieved a major breakthrough by microscopically studying molecular gases at a level never before achieved. The team cooled molecules to ultracold temperatures, observed individual molecules with high spatial resolution, and detected subtle quantum correlations, opening up new avenues for many-body physics re...

SourcePrinceton University·JournalNature·TypeExperimental study·DateFeb 1, 2023

How we navigate through crowds

Scientists from the University of Vienna found that grid cells in the brain play a crucial role in detecting movements of people around us. This mechanism may help explain disorientation in dementia patients. The study suggests that grid cells create a mental map of our surroundings, including the movements of others.

SourceUniversity of Vienna·JournalNature Communications·DateFeb 1, 2023

‘Liquid windows’ inspired by squid skin could help buildings react to changing environments, save on energy costs

A multilayered fluidic system inspired by squid skin can optimize the wavelength, intensity, and dispersion of light reaching building interiors. This could lead to significant savings on heating, cooling, and lighting energy costs, with annual reductions of up to 50%.

SourceUniversity of Toronto Faculty of Applied Science & Engineering·JournalProceedings of the National Academy of Sciences·DateFeb 1, 2023

New approach to “punishment and reward” method of training artificial intelligence offers potential key to unlock new treatments for aggressive cancers

A new approach to deep reinforcement learning demonstrates ability to stabilize large datasets used in AI models, which may lead to uncovering ways to arrest cancer development. The method has been successful in designing and refining existing therapies, with the next step being to use live cells.

SourceUniversity of Surrey·JournalIEEE Transactions on Control of Network Systems·DateFeb 1, 2023

Using CRISPR to detect cancer biomarkers

Researchers developed a novel CRISPR system to detect small amounts of cancer-related molecules in exosomes in plasma, effectively distinguishing between malignant and benign samples. The method has the potential to make cancer diagnosis and monitoring quicker and easier by analyzing blood samples.

SourceAmerican Chemical Society·JournalACS Sensors·DateFeb 1, 2023

A new analysis of the literature on NETosis from Dompé farmaceutici puts a spotlight on neutrophils in carcinogenesis and highlights the importance of targeting IL-8 and EVs in drug-resistant tumors

A new analysis of NETosis from Dompé farmaceutici puts a spotlight on neutrophils in carcinogenesis. Neutrophils' behavior is modulated by extracellular vesicles and interleukin-8, leading to tumor progression and drug resistance. Targeting IL-8 and EVs may lead to novel drugs to regulate neutrophil biology.

SourceDompe farmaceutici SpA·JournalFrontiers in Oncology·DateFeb 1, 2023

Amplified search for new forces

A team of researchers has developed an amplification technique to study a parity-violating interaction between spins mediated by a hypothetical Z' boson. The setup, called SAPPHIRE, uses polarized rubidium and xenon atoms to increase sensitivity five orders of magnitude, setting new constraints on the strength of this interaction.

SourceJohannes Gutenberg Universitaet Mainz·JournalScience Advances·TypeExperimental study·DateFeb 1, 2023

Study offers neurological explanation for how brains bias partisans against new information

A recent study published in Science Advances found that individuals with similar ideologies have more similar neural fingerprints of political words and process new information in a polarized way. The researchers used a range of methods, including fMRI and representation similarity analysis, to explore how the brains of people who iden...

SourceBrown University·JournalScience Advances·TypeObservational study·DateFeb 1, 2023

Mapping Mexico’s dengue fever hotspots

A Rutgers researcher has analyzed data from Mexico's Ministry of Health to identify dengue fever hotspots, highlighting areas where severe outbreaks occur. The study found that lower socioeconomic status increases risk of dengue fever and that DENV-2 is the deadliest serotype.

SourceRutgers University·JournalEcological Informatics·TypeContent analysis·DateFeb 1, 2023

Kessler Foundation team to study impact of strategy-based cognitive training on new learning and memory in individuals with multiple sclerosis

Researchers at Kessler Foundation are conducting a double-blind randomized clinical trial to evaluate the impact of their strategy-based cognitive training program on new learning and memory in individuals with multiple sclerosis. The study aims to assess the efficacy of this protocol, which is based on the KF-STEM protocol.

SourceKessler Foundation·JournalContemporary Clinical Trials Communications·TypeRandomized controlled/clinical trial·DateFeb 1, 2023

Vitamin D supplementation is associated with a reduced risk of suicide attempts in a large cohort of U.S. veterans, especially in Black veterans and those with pre-existing low vitamin D

A large cohort study found that vitamin D supplementation is associated with a reduced risk of suicide attempts among US veterans. The study highlights the importance of vitamin D levels and supplementation in preventing suicidal behaviors, particularly among Black veterans and those with pre-existing low vitamin D.

SourcePLOS·JournalPLOS ONE·DateFeb 1, 2023

Contributing to the utilization of big data! Developing new data learning methods for artificial intelligence

A team of researchers has proposed a novel method for multi-label classification that enables continual learning from big data. The approach combines clustering and Bayesian methods to achieve high classification performance and adaptability in the face of new data.

SourceOsaka Metropolitan University·JournalIEEE Transactions on Pattern Analysis and Machine Intelligence·TypeComputational simulation/modeling·DateFeb 1, 2023

MRI surveillance for postsurgical musculoskeletal soft-tissue sarcomas: AJR systematic review and meta-analysis

A systematic review and meta-analysis found that MRI-based surveillance after surgical treatment can detect clinically occult local recurrences, potentially improving patient outcomes. The study included 19 studies and showed a significant association between high-intensity surveillance and the detection of local recurrences.

SourceAmerican Roentgen Ray Society·JournalAmerican Journal of Roentgenology·TypeSystematic review·DateFeb 1, 2023