Results 101 to 110 of about 16,381 (262)
Robust Portfolio Optimization with Environmental, Social, and Corporate Governance Preference
This study addresses the crucial but under-explored topic of ambiguity aversion, i.e., model misspecification, in the area of environmental, social, and corporate governance (ESG) within portfolio decisions.
Marcos Escobar-Anel, Yiyao Jiao
doaj +1 more source
Model‐informed drug development is increasingly used to support chimeric antigen receptor (CAR)‐T‐cell therapy programs. However, most population pharmacokinetic (PK) CAR‐T‐cell models available in literature are variations of an empirical piecewise‐linear model, which accurately describes the observed data but lacks a mechanistic foundation.
Anna M. Mc Laughlin +4 more
wiley +1 more source
Cofetuzumab pelidotin (Cofe‐P) is an anti‐protein tyrosine kinase 7 (PTK7) antibody‐drug conjugate (ADC) being investigated for the treatment of adults with PTK7‐expressing, recurrent non‐small cell lung cancer (NSCLC). The first‐in‐human (FIH) trial demonstrated tolerability of dosages ≤ 2.8 mg/kg once every 3 weeks (Q3W) and ≤ 3.2 mg/kg Q2W ...
Carla Biesdorf +8 more
wiley +1 more source
Tramadol is frequently co‐prescribed with oxycodone or hydrocodone after surgery under the assumption that its dual mechanism of action provides an opioid‐sparing benefit. However, evidence supporting this practice is limited and inconsistent. We conducted a secondary analysis of the multicenter IGNITE ADOPT‐PGx pragmatic trial of patients undergoing ...
Noor A. Nahid +302 more
wiley +1 more source
The aim of this paper is to evaluate the spatial and hierarchical models for data generating processes with spatial heterogeneity and spatial dependence at the higher level.
Edyta Łaszkiewicz
doaj
Uncertainty quantification for misspecified machine learned interatomic potentials
The use of high-dimensional regression techniques from machine learning has significantly improved the quantitative accuracy of interatomic potentials. Atomic simulations can now plausibly target quantitative predictions in a variety of settings, which ...
Danny Perez +3 more
doaj +1 more source
CEO Overconfidence, Industry Competition, and ESG Performance
ABSTRACT This study examines the interplay among CEO overconfidence, industry competition, and firms' ESG (Environmental, Social, and Governance) performance. With the growing importance of ESG management, firms are investing more in ESG initiatives as a strategic approach to mitigating downside risk. However, overconfident CEOs, characterized by their
Taehyung Kim, Jaeseog Na
wiley +1 more source
Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality
ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley +1 more source
Family Control and Ownership, Corporate Culture, and ESG Performance in Thailand
ABSTRACT Motivated by the growing importance of environmental, social, and governance (ESG) performance in emerging markets, we examine how family control and ownership, together with corporate culture, influence the ESG performance of publicly listed firms in Thailand.
Sirimon Treepongkaruna +2 more
wiley +1 more source
ABSTRACT This research examines the synergistic influence of corporate social responsibility (CSR) and environmental, social, and governance (ESG) disclosure on green innovation (GI) within Romanian small and medium‐sized industrial enterprises. In light of growing regulatory requirements and the transformation toward a sustainable economy, the study ...
Melinda Timea Fülöp +1 more
wiley +1 more source

