Results 121 to 130 of about 4,516 (262)

Measuring New Venture Legitimacy: A Multi‐dimensional Approach Using Computational Textual Analysis

British Journal of Management, EarlyView.
Abstract Legitimacy is critical for the growth, survival and performance of ventures, yet efforts to measure legitimacy empirically typically focus on a single dimension of this multi‐dimensional construct. In this article, we develop a multi‐dimensional framework for measuring legitimacy using computational text analysis.
Ali Ghods, Antonin Ricard, Bénédicte Aldebert, Eric W. Schoon   +3 more
wiley   +1 more source

New PMCT multi‐indicator ossification standards for age estimation of the knee in modern Australian and North American children

Journal of Forensic Sciences, EarlyView.
Abstract Skeletal age estimation is crucial to medicolegal work, aiding subadult identification, and living age assessments in legal contexts. This study aims to document the ontogeny of knee skeletal indicators on post‐mortem computed tomography (PMCT), and quantify interpopulation variation between modern American and Australian children.
Taliah Swart, Clair Alston‐Knox, Samantha K. Rowbotham, Soren Blau, Nicolene Lottering   +4 more
wiley   +1 more source

IGANets: Isogeometric analysis networks and their applications to linear structural analysis problems. [PDF]

Eng Comput
Möller M, Obermair G, Singer I, Gollmann C, Reali A, Elgeti S.   +5 more
europepmc   +1 more source

Analysing Higher Education Institutions' Role in Sustainable Development Goals: A Systematic Literature Review Analysis and Future Directions

Business Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT This paper examines the current state of the art regarding the contribution of Higher Education Institutions (HEIs) to the achievement of the Sustainable Development Goals (SDGs). We conducted a Systematic Literature Review Analysis (SLRA), which integrates a traditional Systematic Literature Review (SLR) with Bibliographic Analysis (BA), on a
Pasquale Latella, Stefania Veltri
wiley   +1 more source

Impedance-Controlled Molecular Transport Across Multilayer Skin Membranes. [PDF]

Membranes (Basel)
Galovic S, Radenkovic MC, Suljovrujic E.
europepmc   +1 more source

An extension of the basic local independence model to multiple observed classifications

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi, Debora de Chiusole, Egidio Robusto, Alice Bacherini, Giulia Balboni, Andrea Brancaccio, Ottavia M. Epifania, Noemi Mazzoni, Luca Stefanutti   +8 more
wiley   +1 more source

Parabolic PDEs with Dynamic Data under a Bounded Slope Condition. [PDF]

Arch Ration Mech Anal
Bögelein V, Duzaar F, Treu G.
europepmc   +1 more source

From tetrachoric to kappa: How to assess reliability on binary scales

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley   +1 more source

An Inverse Signorini Obstacle Problem. [PDF]

Arch Ration Mech Anal
de Hoop MV, Lassas M, Lu J, Oksanen L, Zhao Z.   +4 more
europepmc   +1 more source

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley   +1 more source