Results 131 to 140 of about 11,092,921 (297)
A Node Localization Algorithm Based on Multi-Granularity Regional Division and the Lagrange Multiplier Method in Wireless Sensor Networks. [PDF]
Sensors (Basel), 2016 Shang F, Jiang Y, Xiong A, Su W, He L.
europepmc +1 more source
AI Vibrancy and Renewable Energy Consumption: A Cross‐Country Analysis
Sustainable Development, EarlyView.ABSTRACT This study examines the association between artificial intelligence vibrancy and renewable energy consumption across 36 countries from 2017 to 2023. Using a reduced‐form panel framework with Driscoll–Kraay standard errors, the results show that income per capita and government effectiveness are the dominant drivers of renewable energy ...
Leping Huang +3 more
wiley +1 more source
Lagrange multiplier method implementations for two-dimensional contact problems [PDF]
, 2015 : The two-dimensional elastic contact problem is considered. Finite element method with bilinear shape functions are used. The Lagrange multiplier method for contact conditions implementation is used in three ways: node-to-surface method ...
Rodin A. S. http://library.keldysh.ru/author_page.asp?aid=3183 +3 more
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Industry Structure and Green Future: The Role of Medium and High‐Tech Industries on the Environment
Sustainable Development, EarlyView.ABSTRACT This paper examines the relationship between medium‐ and high‐tech industries and CO2 emissions in BRICS economies, with particular attention to short‐ and long‐run effects from the perspectives of the Porter, Decoupling, and Green Technology Diffusion hypotheses.
Abdullah Emre Caglar +2 more
wiley +1 more source
Sustainable Development, EarlyView.ABSTRACT This study examines the short‐ and long‐run relationships among green investment, energy transition indicators, and economic growth in the USA and China within the framework of a Vector Error Correction Model, using annual data for the period 1990–2023. The findings indicate that long‐run relationships differ between the two countries.
Özlem Ülger Danaci
wiley +1 more source
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
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
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