The dairy business and industry in Oman grapples with complex challenges, from wavering milk prices and escalating input ...
In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...
The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...
Visual motion information is essential to guiding the movements of many animals. The establishment of direction-selective signals, a hallmark of motion detection, is considered a core neural ...
The standard interpretation of a null state, or empty state, posits it as devoid of structure. This paper introduces a ...
Medicare Advantage plans that place greater restrictions on home health agency care delivery may have more adverse patient outcomes than plans that provide episodic payments.
Opinion
The Analysis of Variance: Drawing Conclusions from Data that are Correct, Unambiguous and Defensible
How ANOVA helps ensure process data lead to accurate, defensible decisions. The two-sample t-test determines if two population means are equal. Typical applications involve testing whether a new ...
Unanet's Kim Koster explains how Probability of Award helps GovCons move from intuition to data-driven forecasting and ...
Researchers at TU Wien have developed numerical models to simulate the movement of fluids in porous materials.
The probability of default in bonds measures credit risk and helps investors evaluate borrower reliability, compare yields, ...
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