Results 171 to 180 of about 1,538 (222)

Active Learning in Precalculus: The Impact of Redesigning a Large Enrollment Course

open access: yesSchool Science and Mathematics, EarlyView.
ABSTRACT This paper describes an active learning instructional approach that was designed based on the principles outlined in the 2018 Mathematical Association of America Instructional Practices Guide and was implemented in a large enrollment Precalculus course at a large urban institution with a high percentage of students from underrepresented ...
Aimee J. Ellington
wiley   +1 more source

Recipient–Donor Sex Combinations and Posttransplant Infections: A Swiss Transplant Cohort Study

open access: yesTransplant Infectious Disease, EarlyView.
In this cohort study of 5033 patients, only the recipient sex, in particularly kidney recipients, was independently associated with an increased risk of infections, when compared to males. These findings indicate that recipient–donor sex combination does not influence short‐term solid organ transplantation outcome.
Christian T. J. Magyar   +16 more
wiley   +1 more source

Topological data analysis and topological deep learning beyond persistent homology: a review. [PDF]

open access: yesArtif Intell Rev
Su Z   +7 more
europepmc   +1 more source

Knowledge Spillover, Trust, Effort, and Error Exposure in Peer‐Assisted Learning

open access: yesTopics in Cognitive Science, EarlyView.
Abstract Peer‐assisted learning has the potential to improve learning in academic settings and beyond. However, the cognitive and motivational mechanisms of learning through interaction with other learners are not fully understood. Here, we present an empirical study in which we compare a peer‐assisted learning condition with two individual learning ...
Ion Juvina   +5 more
wiley   +1 more source

Compression of Polyconvex Envelopes of Isotropic Functions via Monotonic Input Convex Neural Networks

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT This work presents a novel neural‐network compression approach for polyconvex envelopes of isotropic functions. The approach relies on a classical sufficient criterion for polyconvexity and is particularly suited for the representation of determinant‐constrained energy densities arising in non‐linear elasticity.
Timo Neumeier, Julian Salmon
wiley   +1 more source

Deep Material Networks Versus Reduced Order Models: A Comparative Study for Multiscale Component Simulations

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT Deep material networks (DMNs) and reduced order models (ROMs) represent two distinct paradigms for scale bridging in multiscale simulations. ROMs are data‐driven approaches that construct surrogate models for the governing partial differential equations of the microscale cell problem.
Pavan Bhat Keelanje Srinivas   +4 more
wiley   +1 more source

Lagrangian Relations and Quantum L ∞ Algebras. [PDF]

open access: yesCommun Math Phys
Jurčo B, Pulmann J, Zika M.
europepmc   +1 more source

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