ABSTRACT: A hyperbolic model for the diffusion of proteins through the blood-cerebrospinal fluid (CSF) barrier revolutionized clinical neurochemistry thirty years ago. The regression curves were ...

Choosing the right curve fit model is essential for revealing key data features, such as rate of change, asymptotes, and EC 50 /IC 50 values. The best model is the one that most faithfully reflects ...

NLSQ is an enhanced fork of JAXFit, originally developed by Lucas R. Hofer, Milan Krstajić, and Robert P. Smith. We gratefully acknowledge their foundational work on GPU-accelerated curve fitting with ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Levi’s iconic 501 style is expanding with a long-awaited launch now in stores and online. If you’ve been struggling with a back gap, as it’s colloquially dubbed, the new 501 Curve Jeans are here, and ...

Separation scientists frequently encounter critical pairs that are difficult to separate in a complex mixture. To save time and expensive solvents, an effective alternative to conventional screening ...

Livvy Dunne is back training after an epic Thanksgiving week back home in New Jersey, and she flexed a sizzling workout fit that showed off her toned body. The fifth-year senior LSU Lady Tigers ...

Any application involving a press can benefit greatly from in-process monitoring and gauging. Central to this kind of feedback-dependent pressing is something called a force vs. position “signature”—a ...

Fifteen months of new data covering the period since May 2023 continue to track closely along the path of a fitted nonlinear Phillips curve that shows the empirical relationship between inflation and ...

We present FitTeD, a public light curve and spectral fitting Python-package based on evolving relativistic discs. At its heart this package uses the solutions of the time dependent general ...

Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.