That’s because a new framework is improving the probabilistic reasoning of LLMS like ChatGPT and Gemini. School of ...

High blood pressure (BP) is a known risk factor for cognitive decline and dementia, but the underlying mechanisms are largely unknown. We investigated the associations of cumulative BP exposure with ...

Combining data across mismatched maps is a key challenge in global health and environmental research. A powerful modeling approach has been developed to enable faster and more accurate integration of ...

Introduction: This study aimed to develop machine learning models to predict neurological outcomes in patients with degenerative cervical myelopathy (DCM) after surgical decompression and identify key ...

Abstract: In this paper, we develop a Maximum likelihood estimation algorithm for a class of Wiener system written in a linear regression form. The output non-linearity is approximated by utilizing a ...

This paper presents two sets of considerations on the use of approximations to estimate freight trip generation (FTG) and freight generation (FG) rates, based on a single variable. Following recent ...

SiC-based converters and inverters are the optimal choice for battery-operated vehicles (BEVs), renewables, and all other applications where maximum efficiency is required. Silicon Carbide (SiC) ...

ABSTRACT: This paper presents two sets of considerations on the use of approximations to estimate freight trip generation (FTG) and freight generation (FG) rates, based on a single variable. Following ...

Menopausal Hormone Therapy and Ovarian and Endometrial Cancers: Long-Term Follow-Up of the Women's Health Initiative Randomized Trials Cancers with homologous recombination deficiency (HRD) can ...

Abstract: It is a computationally challenging task to analyze the transient stability of large-scale, strongly nonlinear power systems containing induction motors (IMs). Among existing methods for ...