Results 141 to 150 of about 1,408,918 (247)
Navigating the Dichotomy of Uncertainty in Green Innovation and Digital Supply Chains
Business Strategy and the Environment, EarlyView.ABSTRACT Amid growing environmental pressures and rapid technological disruption, understanding how digitalization reshapes corporate sustainability strategies has become increasingly vital. Supply chain digitalization (SCD) plays a pivotal role in enhancing firms' adaptive capacity, operational transparency, and innovation efficiency.
Chengming Huang +2 more
wiley +1 more source
Chemie Ingenieur Technik, EarlyView.This work explores generative AI for automated revision of Piping and Instrumentation Diagrams (P&IDs). We frame P&ID correction as a translation problem, converting attributed P&ID graphs into sequences and learning revisions with a transformer‐based model.
Lukas Schulze Balhorn +5 more
wiley +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
wiley +1 more source
Modular symbols over number fields [PDF]
Let K be a number field, R its ring of integers. For some classes of fields, spaces of cusp forms of weight 2 for GL(2;K) have been computed using methods based on modular symbols. J.E.
Aranes, M.
core
Nonlinear permuted Granger causality
Canadian Journal of Statistics, EarlyView.Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley +1 more source
Copula‐based joint modelling of emergency department visits with time‐varying dependence
Canadian Journal of Statistics, EarlyView.Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley +1 more source
Canadian Journal of Statistics, EarlyView.Abstract This article presents a strategy for conducting regression analysis of zero‐truncated recurrent event data. The research is partly motivated by a pediatric mental health care (PMHC) program based on administrative data. We are particularly interested in how the occurrence of an event depends on its past occurrences and the associated ...
Anqi A. Chen +3 more
wiley +1 more source
A positivity conjecture for a quotient of <i>q</i>-binomial coefficients. [PDF]
Ramanujan JGatzweiler M, Krattenthaler C.
europepmc +1 more source
Canadian Journal of Statistics, EarlyView.Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT In the discourse on environmental sustainability and energy security, energy management is an inevitable policy issue that requires research‐based solutions. Based on this, the present study contributes by examining the impact of environmental, social, and governance (ESG) uncertainty on energy consumption patterns in the USA from 2002 to 2024.
Naif Alsagr +2 more
wiley +1 more source