IEEE

FPGA-Based Acceleration of MCMC Algorithm through Self-Shrinking for Big Data

Abstract: Markov chain Monte Carlo (MCMC) algorithms are widely used in Bayesian inference to compute the posterior distribution of complex models, facilitating sampling from probability distributions ...
IEEE

A Bayesian Mixture Model of Temporal Point Processes With Determinantal Point Process Prior

Abstract: Asynchronous event sequence clustering aims to group similar event sequences in an unsupervised manner. Mixture models of temporal point processes have been proposed to solve this problem, ...
Frontiers

Correlation between systemic inflammatory response index and post-stroke epilepsy based on multiple logistic regression analysis

1 College of Life and Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China 2 Department of Neurology, Dazhou Central Hospital, Dazhou, China Background: Post-stroke epilepsy ...
ascopubs.org

Impact of Food and Drug Administration Project Optimus Guidance on Design of Early-Phase Clinical Trials

This study reviewed all industry-sponsored phase I clinical trial protocols activated at one of eight Sarah Cannon Research Institute drug development units between 2021 and 2024. The review focused ...
ahajournals.org

Associations Between Blood Heavy Metal Concentrations and Hypertensive Disorders of Pregnancy in the Japan Environment and Children's Study

Previous studies reported inconsistent associations between blood heavy metal concentrations and the risk of hypertensive disorders of pregnancy (HDP), potentially due to small sample sizes and ...
Frontiers

Noninvasive prediction of EGFR 19Del and 21L858R subtypes in lung adenocarcinoma: a comparative study of logistic regression and decision tree models

1 Department of Radiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China 2 Medical Imaging Research Center, Anhui Medical University, Hefei, China Objective: Despite the ...