Linguistic and Scientific
Harmonies of the Quran

A new Stanford study suggests math struggles may be about more than numbers. Children who had difficulty with math were less likely to adjust their thinking after making mistakes during number comparison tasks. Brain imaging showed weaker activity in regions that help monitor errors and guide behavioral changes. These brain patterns could predict which children were more likely to struggle.

A new study suggests that generosity may be more than a moral lesson—it could be shaped by how different parts of the brain work together. By gently stimulating two brain regions and syncing their activity, researchers found that people became more willing to share money with others, even when it meant earning less themselves.

A new study suggests that generosity may be more than a moral lesson—it could be shaped by how different parts of the brain work together. By gently stimulating two brain regions and syncing their activity, researchers found that people became more willing to share money with others, even when it meant earning less themselves.

Scientists at Cedars-Sinai have uncovered a surprising repair system in the spinal cord that could open new doors for treating paralysis, stroke, and diseases like multiple sclerosis. They found that special support cells called astrocytes—located far from the actual injury—spring into action after damage. These “lesion-remote astrocytes” send out a protein signal, CCN1, that reprograms immune cells to efficiently clean up fatty nerve debris.

Scientists at Cedars-Sinai have uncovered a surprising repair system in the spinal cord that could open new doors for treating paralysis, stroke, and diseases like multiple sclerosis. They found that special support cells called astrocytes—located far from the actual injury—spring into action after damage. These “lesion-remote astrocytes” send out a protein signal, CCN1, that reprograms immune cells to efficiently clean up fatty nerve debris.

A newly identified protein may hold the key to rejuvenating aging brain cells. Researchers found that boosting DMTF1 can restore the ability of neural stem cells to regenerate, even when age-related damage has set in. Without it, these cells struggle to renew and support memory and learning. The findings raise hopes for treatments that could slow or even reverse aspects of brain aging.

A newly identified protein may hold the key to rejuvenating aging brain cells. Researchers found that boosting DMTF1 can restore the ability of neural stem cells to regenerate, even when age-related damage has set in. Without it, these cells struggle to renew and support memory and learning. The findings raise hopes for treatments that could slow or even reverse aspects of brain aging.

A simple brain-training program that sharpens how quickly older adults process visual information may have a surprisingly powerful long-term payoff. In a major 20-year study of adults 65 and older, those who completed five to six weeks of adaptive “speed of processing” training — along with a few booster sessions — were significantly less likely to develop dementia, including Alzheimer’s disease, even two decades later. Participants who received the boosted speed training had a 25% lower dementi

A simple brain-training program that sharpens how quickly older adults process visual information may have a surprisingly powerful long-term payoff. In a major 20-year study of adults 65 and older, those who completed five to six weeks of adaptive “speed of processing” training — along with a few booster sessions — were significantly less likely to develop dementia, including Alzheimer’s disease, even two decades later. Participants who received the boosted speed training had a 25% lower dementi

Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining which cases need urgent care. Trained on hundreds of thousands of real-world scans along with patient histories, the model achieved accuracy as high as 97.5% and outperformed other advanced AI tools.

Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining which cases need urgent care. Trained on hundreds of thousands of real-world scans along with patient histories, the model achieved accuracy as high as 97.5% and outperformed other advanced AI tools.

We don’t experience the world through neat, separate senses—everything blends together. Smell, touch, sound, sight, and balance constantly influence one another, shaping how food tastes, objects feel, and even how heavy our bodies seem. Scientists now believe humans may have more than 20 distinct senses working at once. Everyday illusions and experiences reveal just how surprisingly complex perception really is.

We don’t experience the world through neat, separate senses—everything blends together. Smell, touch, sound, sight, and balance constantly influence one another, shaping how food tastes, objects feel, and even how heavy our bodies seem. Scientists now believe humans may have more than 20 distinct senses working at once. Everyday illusions and experiences reveal just how surprisingly complex perception really is.

The influence of additional information on the decision making of agents, who are interacting members of a society, is analyzed within the mathematical framework based on the use of quantum probabilities. The introduction of social interactions, which influence the decisions of individual agents, leads to a generalization of the quantum decision theory developed earlier by the authors for separate individuals. The generalized approach is free of the standard paradoxes of classical decision theor

The influence of additional information on the decision making of agents, who are interacting members of a society, is analyzed within the mathematical framework based on the use of quantum probabilities. The introduction of social interactions, which influence the decisions of individual agents, leads to a generalization of the quantum decision theory developed earlier by the authors for separate individuals. The generalized approach is free of the standard paradoxes of classical decision theor