Results 261 to 270 of about 252,758 (328)

Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers

Macromolecular Rapid Communications, EarlyView.
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley   +1 more source

Formative Evaluation des mobilen Classroom-Response-Systems SMILE

, 2013
Katrin Weber, Bernd Becker
openalex   +1 more source

Open Hearts, Curiosity, and Questions: A Conversation with Donalyn Miller, “The Book Whisperer,” on International Literature in the Classroom

WOW Stories, 2016
Tracy Smiles
doaj  

Machine learning for enzyme catalytic activity: current progress and future horizons. [PDF]

Brief Bioinform
Qiu S, Saeed H, Leonard W, Li F, Yang A.
europepmc   +1 more source

Active Learning for the Discovery of Antiviral Polymers

Macromolecular Rapid Communications, EarlyView.
Machine learning and active learning are integrated to accelerate the discovery of antiviral polymers. Molecular descriptors derived from polymer composition enable predictive modeling of antiviral activity, while unsupervised clustering explores chemical diversity. The active learning workflow identifies optimal candidates for synthesis, demonstrating
Clodagh M Boland, Nhat Quynh Nguyen, Nathan RB Boase   +2 more
wiley   +1 more source

Service without a smile?! Exploring the roles of customer injustice, anger and individual differences in emotional deviance

, 2009
Patricia B. Barger
openalex   +1 more source

Building Bridges Introduction

WOW Stories, 2016
Tracy Smiles
doaj  

HTA - An open-source software for assigning head and tail positions to monomer SMILES in polymerization reactions. [PDF]

J Cheminform
de Souza Ferrari B, Giro R, Steiner MB.
europepmc   +1 more source

Systematic Deciphering of ATBC Nephrotoxicity Mechanisms via Machine Learning and Single‐Cell Analysis

Medicine Bulletin, EarlyView.
This study elucidates the nephrotoxic mechanism of acetyl tributyl citrate (ATBC) by integrating network toxicology, machine learning, and single‑cell multi‑omics analysis to systematically decipher the molecular mechanisms and cell‑type‑specific regulatory networks underlying ATBC‑induced kidney injury. First, a protein‑protein interaction network was
Yimao Wu, Yalun Liang, Jintao Liang, Wenlong Sun, Qian Zhang, Meng‐Yao Li   +5 more
wiley   +1 more source

The Drug Safety Framework of Avacopan: A Pharmacovigilance Study

Medicine Advances, EarlyView.
We identified 11 previously unreported potential adverse events associated with avacopan. No high‐priority clinical events were observed; however, special attention should be paid to the potential possibility of avacopan‐induced vanishing bile duct syndrome (Logos and icons displayed in the sections “Safety Framework” and “Data Sources and ...
Tianqi Chang, Xiaohong Xin, Xian Shao, Dikang Pan, Jingyu Wang   +4 more
wiley   +1 more source