Results 161 to 170 of about 136,387 (282)

Green Innovation and Firm Efficiency: The Role of Institutional Quality in Italian High‐Tech Manufacturing Sectors

Business Strategy and the Environment, EarlyView.
ABSTRACT The aim of this research is to verify whether institutional quality affects the relationship between green innovation and firm efficiency within the high‐tech manufacturing sectors. To estimate jointly the parameters of a stochastic frontier and the coefficients of a model explaining technical inefficiency, we employed the one‐step estimation ...
Mariarosaria Agostino, Sandro Rondinella, Marianna Succurro   +2 more
wiley   +1 more source

Reinforcement Learning-Based Control of Epidemics on Networks of Communities and Correctional Facilities. [PDF]

Med Decis Making
Weyant C, Lee S, Goldhaber-Fiebert JD.
europepmc   +1 more source

Green Hydrogen for Public Transportation: Insights From an ABM and From Palma de Mallorca Case Study

Business Strategy and the Environment, EarlyView.
ABSTRACT The development of green hydrogen (GH2) value chains is crucial for decarbonizing sectors such as transport and industry. Their emergence, however, requires coordination among diverse actors, technologies, and regulations, which traditional analytical approaches struggle to capture.
Roberta De Cristofaro, Cristina Ponsiglione, Simonetta Primario   +2 more
wiley   +1 more source

Estimating Waiting Distances between Genealogy Changes under a Multi-Species Extension of the Sequentially Markov Coalescent. [PDF]

Syst Biol
McKenzie PF, Eaton DAR.
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Toward LLM-aware software effort estimation: a conceptual framework. [PDF]

Front Artif Intell
Alaswad F, Poovammal E, Aljaddouh B.
europepmc   +1 more source

The Future of Foundation Machine Learning Potentials and DFT in Homogeneous Catalysis: Competition or Synergy?

Chemistry – A European Journal, EarlyView.
Machine‐learning potentials are increasingly taking on the exploratory tasks of homogeneous catalysis, enabling rapid conformer sampling and reaction‐space mapping. However, when selectivity depends on subtle electronic effects, electronic‐structure methods remain essential.
Maxime Ferrer, Julen Munarriz, Thijs Stuyver, Ruben Laplaza   +3 more
wiley   +1 more source

Fast gradient-free optimization of excitations in variational quantum eigensolvers. [PDF]

Commun Phys
Jäger J, Kaldenbach TN, Haas M, Schultheis E.   +3 more
europepmc   +1 more source

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

Canadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne, Thanh‐Liem Huynh, Mylène Oscar   +2 more
wiley   +1 more source

Generating three-dimensional genome structures with a variational quantum algorithm. [PDF]

Brief Bioinform
Siciliano AJ, Wang Z.
europepmc   +1 more source