Sustainable Development, EarlyView.ABSTRACT The current study examines the impact of economic growth, urbanization, trade openness, and energy consumption on climate change among four G7 countries: the United States of America (USA), the United Kingdom (UK), Japan, and Germany. For this, the Auto Regressive Distributed Lag (ARDL) model was used, and to assess the model's fitness ...
Arvind Goswami +3 more
wiley +1 more source
Mixed feelings, mixed outcomes? When emotionally ambivalent framing enhances idea appreciation
Strategic Entrepreneurship Journal, EarlyView.Abstract Research Summary Despite growing interest in how linguistic strategies shape audience responses to innovative ideas, prior evidence on the benefits of using emotional language remains mixed. Building on research on emotional ambivalence and social evaluation, we introduce the concept of emotionally ambivalent framing (i.e., the combination of ...
Donato Cutolo +2 more
wiley +1 more source
Safety Science and Technology, EarlyView.ABSTRACT Effectively detecting the operational fatigue of miners can identify safety risks in mines. As the executors of auxiliary transportation in mines, the operational fatigue status of mining truck drivers deserves particular attention and detection.
Ying Chen +4 more
wiley +1 more source
Time series image coding classification theory based on Lagrange multiplier method. [PDF]
Sci RepJiang W, Zhao M, Li H.
europepmc +1 more source
New roles of Lagrange multiplier method in generalizability theory: Inference of estimating the optimal sample size for teaching ability evaluation of college teachers. [PDF]
PLoS OneLi G.
europepmc +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
CAAI Transactions on Intelligence Technology, EarlyView.Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
scIALM: A method for sparse scRNA-seq expression matrix imputation using the Inexact Augmented Lagrange Multiplier with low error. [PDF]
Comput Struct Biotechnol JLiu X, Wang H, Gao J.
europepmc +1 more source
Boosted unsupervised feature selection for tumor gene expression profiles
CAAI Transactions on Intelligence Technology, EarlyView.Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source
Distributed k‐WTA Network for Multi‐Manipulator Competition With Experimental Verifications
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT In this article, a new distributed k $k$‐winner‐take‐all (Dk $k$‐WTA) network is designed and used to construct a dynamic allocation scheme for competitive coordination tasks of multiple manipulators as embodied agents. The scheme is constructed based on the following two aspects. On one hand, with reference to a perspective that the Laplacian
Shengkai Sun, Yutong Li, Jianfeng Lv
wiley +1 more source
Testing Panel Data Regression Models with Spatial Error Correlation [PDF]
This paper derives several Lagrange Multiplier tests for the panel data regression model with spatial error correlation. These tests draw upon two strands of earlier work.
Badi H. Baltagi +2 more
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