Results 131 to 140 of about 115,711 (260)
Canadian Journal of Statistics, EarlyView.Abstract We analyze the effect of regulatory capital constraints on financial stability in a large homogeneous banking system using a mean‐field game (MFG) model. Each bank holds cash and a tradable risky asset. Banks choose absolutely continuous trading rates in order to maximize expected terminal equity, with trades subject to transaction costs ...
Rüdiger Frey, Theresa Traxler
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Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This paper presents a quantitative assessment of Spanish companies' commitment to the United Nations Global Compact (UNGC) and the Sustainable Development Goals (SDGs). Analyzing over 1000 participating firms, we identify prioritization patterns and examine structural factors influencing SDG adherence.
Juan Laborda, Juan Pérez
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MathematicsCollaborative clustering is an ensemble technique that enhances clustering performance by simultaneously and synergistically processing multiple data dimensions or tasks.
Jing Han, Linzhang Lu
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D-bounded Distance-regular Graphs
European Journal of Combinatorics, 1997 Let \(\Gamma\) be a distance-regular graph of diameter \(D\geq 3\). The paper gives all basic facts from the literature and all necessary notions, e.g. the notion of weak-geodetically closed subgraph of \(\Gamma\), the notion of \(D\)-bounded graph, etc. Let \(P(\Gamma)\) denote the poset the elements of which are the weak-geodetically closed subgraphs
openaire +3 more sources
Contributions to Plasma Physics, EarlyView.ABSTRACT The properties of plasmas in the low‐density limit are described by virial expansions. Analytical expressions are known for the lowest virial coefficients from Green's function approaches. Recently, accurate path‐integral Monte Carlo (PIMC) simulations were performed for the hydrogen plasma at low densities by Filinov and Bonitz (Phys. Rev.
Gerd Röpke +3 more
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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 +4 more
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Biology-Informed Matrix Factorization: An AI-Driven Framework for Enhanced Drug Repositioning
BiologyAdvances in artificial intelligence (AI) and intelligent computing have significantly accelerated drug discovery by enabling accurate modeling of complex biomedical relationships. Among these efforts, drug repositioning—identifying novel therapeutic uses
Yangyang Wang +3 more
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Sparse Graph Regularization Non-Negative Matrix Factorization Based on Huber Loss Model for Cancer Data Analysis. [PDF]
Front Genet, 2019 Wang CY, Liu JX, Yu N, Zheng CH.
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Deep Underground Science and Engineering, EarlyView.The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao +5 more
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Twenty years of dynamic occupancy models: a review of applications and look to the future
Ecography, EarlyView.Since their introduction over 20 years ago, dynamic occupancy models (DOMs) have become a powerful and flexible framework for estimating species occupancy across space and time while accounting for imperfect detection. As their popularity has increased and extensions have further expanded their capabilities, DOMs have been applied to increasingly ...
Saoirse Kelleher +3 more
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