High-throughput genome sequencing and transcriptome analysis have provided researchers with a quantitative basis for detailed modeling of gene expression using a wide variety of mathematical models. Two of the most commonly employed approaches used to ...

The traditional Manufacturing Execution System (MES) has long been constrained by a rigid architecture, making it difficult to adapt to the production demands of diverse varieties and small batches. Mice Technology has restructured the underlying logic of the MES system through parametric modeling and dynamic scheduling mechanisms,

Researchers developed a mathematical model to estimate the rates of mutation as a function of the nearby sequences of DNA 'letters' -- called nucleotides. This new model not only provides clues into the process of mutation, but also helps discover possible ...

The Covid-19 pandemic has triggered a wave of severe economic disruption around the world, causing widespread chaos, profound changes in the business landscape and overwhelming operational challenges. A recent survey by Gartner revealed that 84% of ...

Complex hepatitis B (HBV) epidemiology makes it difficult to evaluate and compare effectiveness of different immunization policies. A method for doing so is presented using a mathematical model of HBV transmission dynamics which can represent universal ...

The core of this patent lies in utilizing **big data** and dynamic compensation parameters to optimize the gap control of the straightening machine. By predicting inertia values, analyzing historical operation data,

As with most crime, the highest rates of burglary occur in urban communities. However, existing mathematical models typically examine burglaries in residential, suburban environments. In a new article, researchers present a nonlinear model of urban ...