Results 101 to 110 of about 16,074,262 (296)

On Export-Led Growth: Is Manufacturing Exports a New Engine of Growth for Bangladesh? [PDF]

The study attempts to empirically verify the export-led growth hypothesis for Bangladesh. In this context, we examine whether manufacturing exports has become a new engine of export-led growth replacing total exports, as claimed by the so-called de novo ...
M.A.Hossain
core  

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

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

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  

Poverty Mapping in Small Areas Under a Twofold Nested Error Regression Model

Journal of the Royal Statistical Society Series A: Statistics in Society, 2017
Summary Poverty maps at local level might be misleading when based on direct (or area-specific) estimators obtained from a survey that does not cover adequately all the local areas of interest. In this case, small area estimation procedures based on assuming common models for all the areas typically provide much more reliable poverty ...
Marhuenda, Yolanda, Molina, Isabel, Morales, Domingo, Rao, J. N. K.   +3 more
openaire   +2 more sources

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

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

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

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source