Archived Intelligence
A synthesis of recent findings, including a 2025 retrospective analysis, indicates that neurofeedback therapy may improve social responsiveness in autism when paired with conventional care. By modulating brainwave activity, the intervention attempts to exploit the brain's inherent plasticity.
A retrospective study identifies frontal lobe EEG asymmetry and network connectivity as potential biomarkers for predicting cognitive outcomes in schizophrenia patients. These electrophysiological patterns could offer a tangible method for forecasting functional recovery, moving beyond subjective clinical observation.
A retrospective study of 104 patients identifies a link between frontal brain wave imbalance and cognitive struggles. The findings suggest that electrical asymmetry and network connectivity could predict how well a patient will function mentally after treatment.
Researchers have identified a precise correlation between electron orbital populations and catalytic activity in platinum-iron alloys. This discovery offers a new descriptor for designing high-efficiency cathodes, potentially overcoming the stability issues plaguing next-generation energy storage.
This paper introduces the TSKI 4.2 model, a neural network architecture that replaces loss function minimisation with phase-temporal synchronisation. By mimicking biological plasticity and homeostasis, the authors propose a scalable system designed to reduce computational overhead and mitigate catastrophic forgetting.
A meta-analysis compares the standard muscle relaxant used in shock therapy against a newer, reversible alternative. The findings suggest the newer method may reduce muscle pain without compromising the treatment's effectiveness.
A recent meta-analysis compares the standard muscle relaxant used in ECT against a newer, reversible alternative. While recovery times appear similar, the newer method may offer fewer physical side effects like muscle pain.
Iraq currently relies heavily on fossil fuels, resulting in power plants with exceptionally high carbon footprints. A new analysis proposes practical pathways to integrate solar and wind technologies, aiming to decouple the nation's energy security from carbon-intensive resources.
A recent meta-analysis evaluates whether a newer muscle relaxation protocol can replace the standard Succinylcholine in electroconvulsive therapy. The findings suggest Rocuronium-sugammadex offers a safer side-effect profile without compromising seizure efficacy.
A systematic analysis of 180 NYSE firms reveals that while 76.7% explicitly use Python for analytics, quantified performance claims remain statistically non-existent. The study maps the specific software libraries powering the sector, exposing a disconnect between widespread tool adoption and public outcome transparency.
Deep learning models often fail in education because they lack context, acting as opaque 'black boxes.' A new study introduces an algorithm that integrates educational domain knowledge into neural networks, boosting accuracy by nearly 27%. This methodology highlights the vital importance of interpretable AI, a principle that will be essential for future breakthroughs in complex fields like genomic medicine.
Researchers have identified a direct correlation between electron populations in specific platinum orbitals and catalytic efficiency. By manipulating these orbital interactions with iron, the study establishes a new descriptor for rationally designing high-performance battery cathodes.