Results 211 to 220 of about 287,232 (281)

Methodological Frameworks for Computational Electrocatalysis: From Theory to Practice

open access: yesSmall Methods, EarlyView.
Computational modeling is widely used to investigate electrocatalytic reactions, yet accurately describing electrochemical interfaces remains challenging. This review outlines theoretical and computational strategies, based on density functional theory, to model reaction thermodynamics, solvation effects, applied bias, and kinetics.
Michele Re Fiorentin   +8 more
wiley   +1 more source

Assessing Capability Complexity Using Enterprise Architecture Framework

open access: yesSystems Engineering, EarlyView.
ABSTRACT This study proposes a structured and quantitative methodology to evaluate the holistic complexity of system‐of‐systems (SoSs), employing the Zachman Architecture Framework (ZAF) as its foundational analytical tool. A five‐phase analytical procedure is developed and empirically validated, encompassing: (1) refinement of complexity measures, (2)
Javad Bakhshi, Mahmoud Efatmaneshnik
wiley   +1 more source

Preservice Teachers' Professional Development for Implementing Differentiated Instruction in Science Education: An Embedded Case Study

open access: yesJournal of Research in Science Teaching, EarlyView.
ABSTRACT The current study explored how a professional development program for differentiated instruction in science education supported change in preservice teachers, following the Interconnected Model of Professional Growth by Clarke and Hollingsworth. Among eight preservice teachers, a self‐report questionnaire (pre and post) and reflective logbooks
Tessa Slim   +3 more
wiley   +1 more source

Generalized Pentagon Equations. [PDF]

open access: yesAnn Henri Poincare
Alekseev A, Naef F, Ren M.
europepmc   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy