Results 191 to 200 of about 3,188,697 (327)

Figure 12: Linear regression method of classification using 5- and 10-fold methods, where the accuracy, precision, recall, and F1-score are shown.

, 2021

openalex   +1 more source

Unraveling the Interfacial Properties of Twisted Single‐Crystal Au(111)/MoS2 Heterostructures: A Pathway to Robust Superlubricity

Advanced Science, EarlyView.
Interfacial mechanical properties of MoS2/Au(111) heterostructures are revealed by advanced experimental and computational methods. The developed semi‐anisotropic interlayer potential (SAIP) accurately predicts moiré‐driven out‐of‐plane corrugation, aligning with experimental observations.
Yuanpeng Yao, Yiming Song, Bozhao Wu, Sebastian Scherb, Shuyu Huang, Antoine Hinaut, Thilo Glatzel, Ernst Meyer, Ze Liu, Wengen Ouyang   +9 more
wiley   +1 more source

Leveraging Large Language Models to Enhance Machine Learning Interpretability and Predictive Performance: A Case Study on Emergency Department Returns for Mental Health Patients [PDF]

arXiv
Importance: Emergency department (ED) returns for mental health conditions pose a major healthcare burden, with 24-27% of patients returning within 30 days. Traditional machine learning models for predicting these returns often lack interpretability for clinical use.
arxiv  

Unveiling Multi‐Scale Architectural Features in Single‐Cell Hi‐C Data Using scCAFE

Advanced Science, EarlyView.
scCAFE is a deep learning framework designed to identify multi‐scale 3D genome architectural features from single‐cell Hi‐C data without dense imputation. It predicts chromatin loops, TAD‐like domains, and A/B compartments, enabling efficient characterization of organization at the single‐cell level. scCAFE also identifies marker loop anchors, offering
Fuzhou Wang, Jiecong Lin, Hamid Alinejad‐Rokny, Wenjing Ma, Lingkuan Meng, Lei Huang, Jixiang Yu, Nanjun Chen, Yuchen Wang, Zhongyu Yao, Weidun Xie, Ka‐Chun Wong, Xiangtao Li   +12 more
wiley   +1 more source

Autonomous Self‐Evolving Research on Biomedical Data: The DREAM Paradigm

Advanced Science, EarlyView.
DREAM is a fully autonomous, self‐evolving biomedical research system capable of independently formulating scientific questions, performing analyses, and making new discoveries without human intervention. Validated in biomedical studies, DREAM significantly outperforms human scientists in research efficiency, accelerating scientific discovery and ...
Luojia Deng, Yijie Wu, Yongyong Ren, Hui Lu   +3 more
wiley   +1 more source

Predicting classification errors using NLP-based machine learning algorithms and expert opinions

Machine Learning with Applications
Various intentional and unintentional biases of humans manifest in classification tasks, such as those related to risk management. In this paper we demonstrate the role of ML algorithms when accomplishing these tasks and highlight the role of expert know-
Peiheng Gao, Chen Yang, Ning Sun, Ričardas Zitikis   +3 more
doaj  

AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices

Advanced Science, EarlyView.
Triboelectric nanogenerators (TENGs) enable sustainable energy harvesting and self‐powered sensing but face challenges in material optimization, fabrication, and stability. Integrating artificial intelligence (AI) enhances TENG performance through machine learning, improving energy output, adaptability, and predictive maintenance.
Aiswarya Baburaj, Syamini Jayadevan, Akshaya Kumar Aliyana, Naveen Kumar SK, George K Stylios   +4 more
wiley   +1 more source

Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites

Advanced Science, EarlyView.
Selective carbonylation sites (SCANS) are conceptualized, designed, evaluated, and released. SCANS captures segment‐level, protein‐level, and residue embeddings features. It utilizes elaborate loss function to penalize cross‐predictions at the residue level.
Jian Zhang, Jingjing Qian, Pei Wang, Xuan Liu, Fuhao Zhang, Haiting Chai, Quan Zou   +6 more
wiley   +1 more source

FABP4 as a Mediator of Lipid Metabolism and Pregnant Uterine Dysfunction in Obesity

Advanced Science, EarlyView.
Obesity during late pregnancy contributes to uterine smooth muscle dysfunction, but the underlying mechanisms are unclear. This study identifies fatty acid binding protein 4 (FABP4) as a key player in the process, mediating excessive fatty acid uptake, lipid accumulation, and mitochondrial dysfunction in myometrial cells. FABP4 could be a novel uterine
Xuan Li, Huihui Yu, Ruixian Tian, Xingxing Wang, Ting Xing, Chenyi Xu, Tengteng Li, Xue Du, Qianqian Cui, Biao Yu, Yunxia Cao, Zongzhi Yin   +11 more
wiley   +1 more source

Artificial Olfactory System Enabled by Ultralow Chemical Sensing Variations of 1D SnO2 Nanoarchitectures

Advanced Science, EarlyView.
This study presents a highly reliable gas sensor platform featuring SnO2 nanonetworks functionalized with Au and Pd nanocatalysts. Enhanced stability and optimized performance enable over 99.5% classification accuracy in deep learning, even under extreme conditions.
Yun‐Haeng Cho, Dong‐Su Kim, Jung Hwan Seo, Jae Han Chung, Zion Park, Ki Chang Kwon, Jae‐Kwon Ko, Tae Won Ha, Jeong‐O Lee, Gyu‐Li Kim, Seong‐Jun Ro, Hyojung Kim, Chil‐Hyoung Lee, Kwangjae Lee, Young‐Seok Shim, Donghwi Cho   +15 more
wiley   +1 more source