Results 211 to 220 of about 131,952 (276)

Single cell snapshot analyses under proper representation reveal that epithelial-mesenchymal transition couples at G1 and G2/M. [PDF]

Commun Biol
Hu S, Lu Y, Yu G, Zheng Z, Ni K, Giri A, Zhang J, Zhang Y, Yao G, Xing J.   +9 more
europepmc   +1 more source

Benchmarking Large Language Models for Polymer Property Predictions

Macromolecular Rapid Communications, EarlyView.
Large language models (LLMs) are fine‐tuned on polymer thermal property datasets to directly predict glass transition, melting, and decomposition temperatures from SMILES inputs. Compared to state‐of‐the‐art models such as Polymer Genome, polyGNN, and polyBERT, LLMs achieve competitive yet lower accuracy.
Sonakshi Gupta, Akhlak Mahmood, Shivank Shukla, Rampi Ramprasad   +3 more
wiley   +1 more source

Clinical and Transcriptomic Characteristics of Aortic Stenosis in Patients Undergoing Haemodialysis. [PDF]

Interdiscip Cardiovasc Thorac Surg
Shiraiwa S, Tran NQV, Watanabe Y, Kobayashi T, Nakamura K, Nakamura C, Yamamoto S, Shikata D, Takesue Y, Honda Y, Sakakibara K, Kaga S, Yokomichi H, Nakao A, Sato A, Nakajima H.   +15 more
europepmc   +1 more source

Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer Solubility

Macromolecular Rapid Communications, EarlyView.
The performance of machine learning models for classifying polymer solubility improves when a high‐fidelity experimental dataset is used compared to a low‐fidelity experimental dataset. This has important implications for justifying the value of spending additional time and resources preparing detailed experimental datasets.
Mona Amrihesari, Manali Banerjee, Raul Olmedo, Blair Brettmann   +3 more
wiley   +1 more source

SWFITEM: Solar Wind Fitting for Investigations of Thermodynamics and Energetics at Mars - A MAVEN dataset. [PDF]

Sci Data
Ramstad R, Halekas J, Andersson L, Brain D, Espley J, Mitchell D, McFadden J, Chapasis A, Dong Y, Gonzales N, Curry S.   +10 more
europepmc   +1 more source

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

Single-stage surgical modification for neonatal aortic coarctation and ventricular septal defect: a case report. [PDF]

Eur Heart J Case Rep
Yang X, Xing P, Hou K, Chen R, Pan S.
europepmc   +1 more source

A Perspective of Multi‐Reflecting TOF MS

Mass Spectrometry Reviews, EarlyView.
ABSTRACT Time‐of‐flight mass spectrometry (TOF MS) excels in rapid and high‐sensitivity analysis, making it a cornerstone of analytical chemistry. But as sample complexity explodes in omics studies, so does the need for higher resolving power to ensure accurate results.
A. N. Verenchikov, V. V. Makarov, A. V. Vorobyev, S. N. Kirillov   +3 more
wiley   +1 more source

Large Left Ventricular Aneurysm Caused by Aortic Stenosis and Exacerbated by Prosthesis-Patient Mismatch. [PDF]

JACC Case Rep
Chi H, Wang J, Yang M, Liu Q, Zheng N, Zhao Q, Wang C, Wang W, Lv Y, Xiao C.   +9 more
europepmc   +1 more source

New Opportunities For the Integration of Artificial Intelligence With Materials Science: From Large Language Models to Embodied Large Models

Materials Genome Engineering Advances, EarlyView.
This review first introduces the diversified applications of large language models in materials discovery. Subsequently, the evolution of autonomous experimentation platforms empowered by large language models is analyzed. Finally, four key future research interests are proposed to develop embodied large models for driving autonomous experimentation ...
Zhen Song, Yishuai Cai, Yadong Yu, Pan Xiang, Minglong Li, Zhe Liu, Mengyan Dai   +6 more
wiley   +1 more source