Results 101 to 110 of about 15,648,464 (247)

A Transition-Based Neural Framework for Chinese Nested Entity and Relation Recognition

IEEE Access
Entity and relation extraction for Chinese texts are typical performed in a pipelined fashion in the sense that by first segmenting sequence into words then recognizing entities and relations subsequently. However, this process often leads to the problem
Junchi Zhang, Mengchi Liu
doaj   +1 more source

Testing Multiple Non-nested Factor Demand Systems, [PDF]

Empirical factor demand analysis typically involves making a choice from among several competing non-nested functional forms. Each of the commonly used factor demand systems, such as Translog, Generalized Leontief, Quadratic, and Generalized McFadden ...
Michael McAleer, Matteo Manera
core  

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source

Model fit and nested model comparisons for multiple-group CFA analyses.

, 2015
Note: * = significant at α of .05; df = degrees of freedom; CFI = Comparative Fit Index; TLI = Tucker-Lewis Index; RMSEA = Root Mean Square Error of Approximation; Comp = Compared to model; UFVs = unique factor variances.Model fit and nested model ...
N. W. H. Jansen (725973), I. J. Kant (725976), H. Hoofs (725972), D. C. L. Mohren (725974), M. W. J. Jansen (725975)   +4 more
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

A ten-year (2012–2021) fine-resolution (1 km, hourly) precipitation dataset over southeastern Tibetan Plateau

Scientific Data
Intense sub-daily precipitation on the Tibetan Plateau (TP) can trigger a cascade of natural hazards (flash floods, debris flows, etc.), causing significant environmental impacts. Current precipitation products for the TP often lack sufficient spatial or
Dayang Li, Ye Shen, Xianyi Ye, Xiaohua Fu, Yang Yang, Tinghai Ou, Deliang Chen, Fuqiang Tian, Long Yang   +8 more
doaj   +1 more source

Estimation of mean squared error of model-based estimators of small area means under a nested error linear regression model

Journal of Multivariate Analysis, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mahmoud Torabi, J. N. K. Rao
openaire   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Uncertainty under a multivariate nested-error regression model with logarithmic transformation [PDF]

This work aims to predict exponentials of mixed effects under a multivariate linear regression model with one random factor. Such quantities are of particular interest in prediction problems where the dependent variable is the logarithm of the variable ...
Molina, Isabel
core   +1 more source

A Nested DUAL-axis Accelerometer with Enhanced Temperature Robustness for Testing Across the Entire Operational Temperature Range

Measurement Science Review
This paper investigates a nested biaxial micro-electro-mechanical systems (MEMS) accelerometer with low coupling error, derives the kinetic model equations of the accelerometer, and performs finite element simulations of the operating modes and ...
Ren Yanchao, Duan Guodong, Jiao Jingjing, Hu Xiaoping   +3 more
doaj   +2 more sources