Serum uric acid levels showed an inverse, linear association with depression risk, highlighting a potential biochemical ...

Neighborhood-specific log–linear regression models for PNC in Somerville, Dorchester, Chinatown, and Malden were built and tested using methods summarized in Table 1 and described elsewhere. We ...

Mechanisms for total dose degradation of linear circuits are discussed, including bulk effects, oxide charge buildup and recombination at the Si-SiO2 interface. The dependence of damage on bias, dose, ...

This manuscript provides valuable information on the neurodynamics of emotional processing while participants were watching movie clips. The methods and results were solid in deciphering the ...

This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

Job satisfaction among nurses is a critical determinant of workforce stability, care quality, and patient outcomes. Recent ...

Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...

The innovations described in Rajeev Reddy Chevuri's research signal a new era for financial services one where the power of artificial intelligence is finally balanced with the clarity and ...

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!

Multiple regression models forecast a variable using a linear combination of predictors, whereas autoregressive models use a combination of past values of the variable.

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