Background/aims Posterior capsule opacification (PCO) is the most frequent long-term complication after cataract surgery, caused by proliferation of residual lens epithelial cells (LECs). Metformin, a ...

Heil, with corporate headquarters in Chattanooga, Tennessee, and a manufacturing facility in Payne, Alabama, has introduced its Common Body platform, an engineering advancement that brings together ...

ABSTRACT: This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs).

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Abstract: Behavioral models are used to describe the statistical behavior of subsystems that are too large for circuit simulation using SPICE. However, performance estimations obtained using these ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Objective: Childhood morbidities are crucial for improving long-term public health outcomes. This study aimed to examine the existence of child-specific and regional variation in childhood morbidity ...

Linear mixed models (LMMs) serve as a versatile statistical framework, combining fixed effects that capture the overall trends with random effects that account for variability across subjects, ...

Abstract: Phylogenetic Comparative Methods (PCMs) offer a critical approach to analyzing species traits by accounting for evolutionary relationships. Traditionally, these models incorporate ...

ABSTRACT: Improving prediction of genotypic values from long-term historical crop trial data will enhance the utilization for both genetic study and crop improvement. However, because many long-term ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...