Results 81 to 90 of about 6,301 (213)
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
Biotechnology and Applied Biochemistry, EarlyView.ABSTRACT Gastrointestinal cancers (GICs) constitute one of the leading causes of cancer‐related morbidity and mortality worldwide. Despite currently available therapeutic strategies, new approaches and procedures are needed for their prevention and treatment.
Raúl Vergara +5 more
wiley +1 more source
British Journal of Clinical Pharmacology, EarlyView.Abstract Aim The aim of this systematic review was to assess all available clinical data regarding the use of a single dose of basiliximab in solid organ transplantation compared to the standard double dosage, with particular interest in efficacy, safety and cost‐savings.
Alessio Provenzani +4 more
wiley +1 more source
British Journal of Clinical Pharmacology, EarlyView.Aims This real‐world pharmacovigilance study utilizes FDA Adverse Event Reporting System (FAERS) data (2004–2024) to characterize age‐related disparities in hydroxychloroquine (HCQ)‐associated adverse events (AEs), addressing gaps in age‐stratified risk assessment. Methods Disproportionality analysis (reporting odds ratios, RORs) and parametric Weibull
Guanghan Sun +4 more
wiley +1 more source
Biotechnology and Bioengineering, EarlyView.ABSTRACT Multimodal chromatography has emerged as a powerful tool for the purification of monoclonal antibodies (mAbs) and their derivatives—including antibody fragments (Fabs), Fc‐fusions, bispecific (BsAb), and antibody–drug conjugates (ADCs)—offering enhanced selectivity through the integration of ionic, hydrophobic, hydrogen‐bonding, and π–π ...
Amin Javidanbardan +4 more
wiley +1 more source
The impacts of biological invasions
Biological Reviews, EarlyView.ABSTRACT The Anthropocene is characterised by a continuous human‐mediated reshuffling of the distributions of species globally. Both intentional and unintentional introductions have resulted in numerous species being translocated beyond their native ranges, often leading to their establishment and subsequent spread – a process referred to as biological
Phillip J. Haubrock +42 more
wiley +1 more source
Corporate Management of Environmental, Social, and Governance Ratings and Rating Divergence
Business Strategy and the Environment, EarlyView.ABSTRACT As environmental, social, and governance (ESG) ratings increasingly influence investment and corporate decision‐making, companies face growing pressure to manage their ESG performance strategically. This study examines how firms navigate the fragmented ESG rating landscape marked by significant agency divergence. Based on a multiple‐case study
Selina Hauch
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines the role of managerial ability in driving environmental performance and overall environmental, social, and governance (ESG) ratings in the context of the European Union sustainability reporting regulations. Using a sample of 7242 firm‐year observations over the period 2015–2023, our results indicate a structural change in ...
Mihaela Ionașcu +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study investigates the relationship between waste management outcomes and corporate investment efficiency, as well as the moderating role of CSR committees, using a panel of 267 non‐financial French listed firms over the period 2011–2022.
Bilel Bzeouich +2 more
wiley +1 more source
Carbon and Hydrogen, EarlyView.A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su +11 more
wiley +1 more source