Results 51 to 60 of about 9,993 (246)
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Does SYNTAX score II predict poor myocardial perfusion in ST-segmen
Cardiology Journal, 2016 SYNTAX score II (SS-II) has been demonstrated to predict long-term outcomes in unprotected left main or multiple vessels in patients with coronary artery disease. However, its prognostic value for patients with ST-segment elevation myocardial infarction (STEMI) remains unknown.
Gang, Wang +6 more
openaire +3 more sources
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
BiomedicinesBackground: Lipoprotein metabolism, inflammation, and oxidative stress (OS) play interconnected roles in the pathogenesis of acute coronary syndrome (ACS).
Ramazan Düz +4 more
doaj +1 more source
Diagnostics, 2022 Objectives: We compared the outcomes between percutaneous coronary intervention (PCI) and coronary artery bypass graft surgery (CABG) for revascularization in patients with reduced ejection fraction (EF) and severe coronary artery disease (CAD). Methods:
Yu-Wen Chen +4 more
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
The Egyptian Journal of Radiology and Nuclear Medicine, 2023 Background The SYNTAX score (SS) was created to aid the Heart Team in assessing the severity and extent of coronary artery disease (CAD) in patients with multi-vessel disease, hence helping in the decision between percutaneous coronary intervention (PCI)
Amira Abd El-Ghany Khedr +4 more
doaj +1 more source
, 2023 Abstract Introduction Patients with left main coronary artery disease (LMCAD) with a high SYNTAX score (SS) were excluded from randomized studies that comparing percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG). We sought to compare PCI and CABG in the real-world practice and investigate the impact of SS I, SS
Wei-Ting Sung +5 more
openaire +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes
Advanced Science, EarlyView.A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li +10 more
wiley +1 more source