is a statistical function that creates a probability distribution. The t-distribution is similar to the normal distribution, with its bell shape, but it has heavier tails. It is used for ...

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Past work on complex variables has mainly focused on their second-order structure, as well as that of their conjugates, whereas the main purpose of this correspondence is to clarify the concept of a ...

Therefore, in this paper, we present a probability density computing neural network (NN) training procedure. To overcome the limitation of an effective cost function ... The normalized weighted ...

Natural logarithm of the probability density function (PDF) for a chi-squared distribution.

This valuable study investigates how stochastic and deterministic factors are integrated during cellular decision-making, particularly in situations where cells differentiate into distinct fates ...

Background Prior work suggests different interstitial lung diseases (ILDs) that share the radiological usual interstitial pneumonia (UIP) pattern have an overall worse prognosis. However, ...

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The unfolded protein response (UPR) is a crucial signaling network that preserves endoplasmic reticulum (ER) homeostasis, impacting both health and disease. When ER stress occurs, often due to an ...

Although the world has largely moved on from Covid-19, a lot of trust was destroyed including – unfortunately and worryingly ...