Results 161 to 170 of about 876,447 (311)
ESG Performance, Debt Financing, and R&D Output: Evidence From the Healthcare Sector
Business Strategy and the Environment, EarlyView.ABSTRACT Amid growing calls for sustainability in the healthcare sector, this study examines how and under what conditions environmental, social, and governance (ESG) performance influences research and development (R&D) output. Although existing studies suggest that ESG performance enhances R&D output, the financial mechanisms that enable or constrain
Sarmad Ali +2 more
wiley +1 more source
Biotechnology Progress, EarlyView.Abstract Artificial intelligence and automation are no longer just buzzwords in the biopharmaceutical industry. The manufacturing of a class of biologics, comprising monoclonal antibodies, cell therapies, and gene therapies, is far more complex than that of traditional small molecule drugs.
Shyam Panjwani, Hao Wei, John Mason
wiley +1 more source
An Investigation of Hyperostosis Frontalis Interna in a Modern Anatomical Body Donor Population
Clinical Anatomy, EarlyView.ABSTRACT This research sought to examine the prevalence and severity of hyperostosis frontalis interna (HFI) in the Chicagoland anatomical body donor population. The study further aimed to elucidate potential demographic risk factors for HFI, including sex, age at death, and structural vulnerability index (SVI), as well as any common comorbidities, as ...
Amy C. Beresheim, Amanda Hall
wiley +1 more source
Conformational Trajectory of the Molecular Chameleon Grazoprevir from Formulation to Target‐Bound
Chemistry – A European Journal, EarlyView.ABSTRACT Macrocycles represent a promising class of beyond‐rule‐of‐5 (bRo5) therapeutics, capable of targeting proteins traditionally considered undruggable by conventional small molecules. Macrocycles exhibit intrinsic flexibility and often display a “chameleon‐like” ability to adapt to their environment, thereby enhancing their oral bioavailability ...
Lianne H. E. Wieske +5 more
wiley +1 more source
Nonlinear Active Site Dynamic Behavior Over In Situ Generated Working Zeolites
Chemie Ingenieur Technik, EarlyView.The methoxymethyl mechanism over α, β, and γ site ensembles and the dynamic site‐interconversion mechanism reduce the induction period of propylene formation. The methoxymethyl mechanism acts on site ensemble α generating surface methoxy species (SMS), which, through the dynamic site‐interconversion mechanism, lead to SMS on site ensembles β and γ that
Toyin Omojola
wiley +1 more source
Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Rank‐based estimation of propensity score weights via subclassification
Canadian Journal of Statistics, EarlyView.Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang +3 more
wiley +1 more source
Asymptotic properties of cross‐classified sampling designs
Canadian Journal of Statistics, EarlyView.Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley +1 more source
Partial identification with categorical data and nonignorable missing outcomes
Canadian Journal of Statistics, EarlyView.Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley +1 more source
Modeling Oxidative Stress-Linked Telogen Effluvium Using Monte Carlo Simulation of Published Trichoscopy Norms and Cannabis Exposure Distributions. [PDF]
CureusChadha A, Burmeister M, Poelker-Wells S.
europepmc +1 more source