Abstract: With the rapid development and wide application of unmanned aerial vehicles (UAVs), concerns about their safety and reliability are increasing. Anomaly detection of flight data and ...

Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...

Background and purpose The significance of early venous filling on digital subtraction angiography (DSA) after mechanical thrombectomy (MT) is unclear. This study introduces the Venous Return Index ...

ABSTRACT: This article critically assessed the validity of five multiple linear regression models across three separate studies. The first examined the cytotoxic properties of ...

Purpose To assess alterations in cone morphology, retinal sublayer thicknesses and vessel densities (VDs) in eyes with non-pathological high myopia (HM) and their correlation with retinal sensitivity ...

Climate change in response to a change in external forcing can be understood in terms of fast response to the imposed forcing and slow feedback associated with surface temperature change. Previous ...

Quality of Care in Veterans Affairs Health Care System In-Person and National TeleOncology Service–Delivered Care A total of 824,535 patient records were analyzed. Resulting MSCs were 50 in pulmonary, ...

Nomograms are superior to traditional multivariate regression models in the competence of quantifying an individual’s personalized risk of having a given condition. To date, no literature has been ...

Estimating Long-Term Survivorship Rates Among Patients With Resected Stage III/IV Melanoma: Analyses From CheckMate 238 and European Organization for Research and Treatment of Cancer 18071 Trials Data ...

Early determination of prognosis in patients with acute-on-chronic liver failure (ACLF) is crucial for optimizing treatment options and liver allocation. This study aimed to identify risk factors ...