Laser-driven fields directly control transverse kinetic instabilities and, through nonlinear coupling, delay longitudinal ...

Even a toddler knows that plants need water. It’s perhaps the first thing we learn about these green lifeforms. But how plants budget this resource varies considerably. The kapok trees of the Amazon ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Given appropriate models for vacuum tubes, circuit simulators such as SPICE make analysis based on such nonlinear models a tractable effort. The Langmuir, Leach, and Koren models are discussed for the ...

Inflation has climbed since 2021, as the labor market has tightened. Two historical data relationships can account for elevated inflation over the past two years: the Beveridge curve, which relates ...

Solar irradiance is a crucial environmental parameter for optimal control of photovoltaic (PV) systems. However, precise measurements of the solar irradiance are difficult since the irradiation ...

Understanding the interplay between network architecture, dataset statistics, and learning algorithms is a key challenge in deep learning. We overcome this challenge analytically for zero-noise ...

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Abstract: The switched reluctance motor characters multiple variables, significant coupling effect, and complex non-linear system carry many difficulties. A linear and quasi-linear model cannot be ...

Predictive microbiology models explain bacterial number variations over time and how growth/inactivation rates are affected by environmental conditions (Lammerding and Fazil, 2000). In the development ...