Results 111 to 120 of about 22,741 (258)
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Asian Journal of Control, EarlyView.Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
BMEMat, EarlyView.Abstract Hepatocellular carcinoma (HCC), ranking as the third leading cause of cancer‐related mortality globally, continues to pose significant therapeutic challenges. Here, we developed an innovative nanosystem, Phl@PT, based on Pt‐TiO2 nanoparticles for the co‐delivery of Phlorezin, presenting a novel approach for HCC treatment through sonodynamic ...
Kairui Liu +13 more
wiley +1 more source
Continual decision‐making dynamics across biological organisms
Biological Reviews, EarlyView.ABSTRACT Decision‐making is a central function of adaptive behaviour in biological agents. However, strategies for adaptive decision‐making can vary substantially across species. Here, we aim to extend the comparative scope of decision‐making analyses to phylogenetically diverse organisms.
Liberty Severs, Qiuran Wang
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study integrates multidimensional sustainability indicators into a unified assessment approach to evaluate circular strategies in agri‐food industry businesses. This methodological approach is applied to empirically examine the case of the olive oil industry's by‐product valorization.
David Polonio +3 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT The aim of this study is to examine the impact of corruption control, as a public institutional mechanism, on hazardous waste emissions of private sector entities. We also examine the extent to which Agenda 2030 moderates the relationship. We analyse data from the top 500 global companies.
Babajide Oyewo +3 more
wiley +1 more source
Current Trends and Future Research in Management Control for Sustainability in Retail
Business Strategy and the Environment, EarlyView.ABSTRACT The growing emphasis on sustainability in the retail sector, driven by regulatory frameworks, market trends and consumer demand, has placed management control at the forefront of facilitating sustainability practices. Despite increasing academic interest in this area, the literature is fragmented and provides limited sector‐specific insight ...
Miguel Gil, Mart Ots, Timur Uman
wiley +1 more source
Productivity and Emissions in Italian Agriculture: A Farm‐Level Efficiency Analysis
Business Strategy and the Environment, EarlyView.ABSTRACT Achieving the European Union climate‐neutrality objectives requires metrics that jointly assess farm productivity and greenhouse gas emissions at a granular level. However, harmonized evidence for benchmarking the productivity–emissions nexus of Italian farms remains limited.
Giulio Fusco +3 more
wiley +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 +2 more
wiley +1 more source
ChemPhysChem, Volume 26, Issue 6, March 15, 2025.What happens, if in the synthesis of flat silver platelets, the slow deposition of silver along twinning faults is disturbed by the addition of a nobler metal? We have looked into it and found a way to fine‐tune the metal deposition in lateral and vertical direction.
Jonas Kluitmann +3 more
wiley +1 more source
Cytometry Part B: Clinical Cytometry, EarlyView.Abstract Minimal/measurable residual disease detection is routinely performed as part of post‐diagnostic treatment plans for many types of cancer, for which multiparameter flow cytometry is one possible modality frequently used. We propose a machine learning approach for binary prediction of minimal residual disease status with flow cytometry data. Our
Wikum Dinalankara +5 more
wiley +1 more source