Results 71 to 80 of about 3,187 (246)

Critical Discourse Analysis in Corporate Reports: Legitimation Strategies in the Context of Environmental Controversies

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the use of environmental disclosure as a strategic tool to manage legitimacy crises in a mining company, adopting critical discourse analysis (CDA) as the main methodology. Focusing on a case of environmental disaster, this research reveals how corporate narratives can be manipulated to minimize responsibility and reinforce
Renata Luiza de Castilho Rossoni, Manolita Correia Lima   +1 more
wiley   +1 more source

Blasting effects of cross‐fault deep‐buried excavation on adjacent existing tunnel stability

Deep Underground Science and Engineering, EarlyView.
Based on the theoretical analysis of cylindrical wave propagation in a deep rock mass in the fault with a filling layer, the calculation method of peak particle velocity caused by wave propagation in the existing tunnel is established. The viscoelastic characteristics of a rock mass are examined in the analysis.
Shaobo Chai, Lianzeng Chai, Chao Meng, Kai Liu, Lang Song, Shaojie Zheng   +5 more
wiley   +1 more source

RAMA: A Meta-Algorithmic Framework for Ramanujan-Style Heuristic Discovery Using Large Language Models

Algorithms
This work introduces RAMA (Recursive Aesthetic Modular Approximation), a metaheuristic framework that models a restricted form of mathematical intuition inspired by the notebooks of Srinivasa Ramanujan. While Ramanujan often produced deep results without
Jordi Vallverdú
doaj   +1 more source

A novel construction approach for the pore structure model principally focuses on the controllable roundness of rock particles

Deep Underground Science and Engineering, EarlyView.
Particle rounding effects comparison of different methods: (a), (b), and (c) are the rounding results using the B‐spline curve method with different R; (d), (e), and (f) are the results of vertex rounding substitution method with different rounding radii.
Jiabin Dong, Ning Yang, Yi Jin, Ying Wu, Dandan Liu, Junling Zheng, Jingyan Zhao   +6 more
wiley   +1 more source

Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation

Deep Underground Science and Engineering, EarlyView.
Prediction of grouting efficiency using machine learning is enhanced by adopting a training strategy that accounts for the grouting process across multiple rounds. Abstract Grouting with water–cement mixtures is the most widely used and cost‐effective method for managing excess water inflow during tunnel construction.
Huaxin Liu, Xunchang Fei, Wei Wu
wiley   +1 more source

Particle-in-cell beam dynamics simulations with a wavelet-based Poisson solver

Physical Review Special Topics. Accelerators and Beams, 2007
We report on a successful implementation of a three-dimensional wavelet-based solver for the Poisson equation with Dirichlet boundary conditions, optimized for use in particle-in-cell (PIC) simulations.
Balša Terzić, Ilya V. Pogorelov, Courtlandt L. Bohn   +2 more
doaj   +1 more source

Research on Directed Clique Enumeration with Strongly Connected Constraint [PDF]

Jisuanji kexue yu tansuo
Directed edges in a directed graph can represent the direction of relationships or the transmission of data. Introducing connectivity constraints in the mining of dense subgraphs can enhance the connections between vertices. Accordingly, by combining the
CHEN Jiujian, DAI Qiangqiang, LI Ronghua, WANG Guoren
doaj   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Research on SCLOUD+ post-quantum key encapsulation adaptation and BW lattice optimization for intelligent computing networks

Dianxin kexue
The existing mainstream post-quantum key encapsulation mechanisms, such as the module-lattice-based key encapsulation mechanism (ML-KEM), rely on the module learning with errors (Module-LWE) problem associated with structured lattices.
PAN Jie, XI Zhuoning, ZHAO Zhanjun, BU Zhonggui, HOU Huifang, YE Lan, CHEN Xi, XUE Zhao   +7 more
doaj  

Instability mechanism and failure characteristics of underground cavern in block system under the action of seismic waves

Deep Underground Science and Engineering, EarlyView.
Seismic waves with tensile stress, high amplitude, and low frequency are most likely to trigger block instability and sliding. Blocks with a single sliding surface are more prone to movement than those with multiple constraints, and roof‐positioned blocks are especially vulnerable to slide.
Xiao Wang, Jinxiao Liu, Gaoshuo Zhang, Wenxin Li, Changdi He   +4 more
wiley   +1 more source