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Latest Articles

Three Ways to Turn Life Science Suppliers into Partners
Article

A growing number of life science businesses are turning to greater supply chain collaboration for benefits like accelerated time to market, improved quality, reduced risk and more rapid and widespread innovation. But while 68% of executives in this industry say active and meaningful engagement with suppliers is essential to success, far too many, over a third, struggle to implement it.

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Scientist Explains How They Un-picked Pick’s Disease
Article

Scientists use Cryo-EM to solve the structure of the frontotemporal dementia-causing tau protein tangles.

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How Can We Make Behavioral Science More Reproducible?
Article

A scientist explains how, by making 'stock' behavioral tasks more accurate, we can improve reproducibility.

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Ageing in Human Cells Successfully Reversed in the Lab
Article

"In our latest experiment, we have reversed the ageing of human cells, which could provide the basis for future anti-degeneration drugs."

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What Might Explain the Unhappiness Epidemic?
Article

The problem is that much of what determines happiness is outside of our control.

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Almost Half of Adults with Autism Struggle with Depression
Article

Nearly half of adults with autism will experience clinical depression in their lifetime, according to new research.

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What if Consciousness is Not What Drives the Human Mind?
Article

"We don’t consciously choose our thoughts or our feelings – we become aware of them."

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How Does the Brain Represent the Objects We Touch?
Article

A hypothetical model to understand how “touch” is represented in the brain.

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One-Way vs Two-Way ANOVA: Differences, Assumptions and Hypotheses
Article

A key statistical test in research fields including biology, economics and psychology, Analysis of Variance (ANOVA) is very useful for analyzing datasets. It allows comparisons to be made between three or more groups of data. Here, we summarize the key differences between these two tests, including the assumptions and hypotheses that must be made about each type of test.

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