Results 201 to 210 of about 413,861 (307)

Moving beyond neurophobia to cultivate the neuroquisitive learner

Anatomical Sciences Education, EarlyView.
Abstract “Neurophobia,” a pervasive fear of the neurological sciences, poses a significant barrier in medical education, affecting learners and physicians worldwide. Its consequences are far‐reaching, contributing to a limited neurology workforce and diminished confidence among non‐specialists in managing neurological conditions.
Joanna R. Appel, Kirsten A. Porter‐Stransky   +1 more
wiley   +1 more source

Information theory optimization of signals from small-angle scattering measurements. [PDF]

Biophys J
Rambo RP, Tainer JA.
europepmc   +1 more source

Immersive virtual reality as a teaching tool in neuroanatomy: A scoping review

Anatomical Sciences Education, EarlyView.
Abstract Basic core courses in various undergraduate programs, such as neuroanatomy, pose a challenge for students due to the large volume and complexity of the content. In this context, educational technologies such as immersive virtual reality (IVR), which allow students to actively interact with learning materials, offer a complementary pedagogical ...
Nathálya Gardênia de Holanda Marinho Nogueira, Eloá Naiara de Assis Teodoro, Maria Clara Ramos, Phelipe Henrique Alves Batalha Coelho, Gustavo Eyer de Menezes, Guilherme Menezes Lage, Bárbara de Paula Ferreira, Sara Edith Souza de Assis Leão   +7 more
wiley   +1 more source

Editorial: Multidrug resistant bacteria: new therapeutic approaches for a challenging problem. [PDF]

Front Pharmacol
Fernández GC, Smani Y, Gómez SA.
europepmc   +1 more source

Exploring student perceptions of integrating mixed reality with cadaveric teaching in undergraduate neuroanatomy education: A qualitative study

Anatomical Sciences Education, EarlyView.
Abstract Mixed reality (MR) using head‐mounted displays provides three‐dimensional visualizations that have been suggested to enhance learning when used alongside conventional anatomy teaching in medical education. This study explored student perceptions of the integration of MR and traditional cadaveric learning, and their optimal delivery to support ...
Harpreet Kasbia, Rehman Ali Baig, Lydia Boynton, Fanny Mozu‐Simpson, Ally Fattal, Ben Clare, Puneet Sharma, Arthur Dalton, Celia Brown, Ana Baptista, Richard J. Pinder, Ali Rezaei Haddad, Amir H. Sam   +12 more
wiley   +1 more source

Differential Spectrum-Based Adaptive Regularization for NMR <i>T</i> ₂ Inversion in Noisy Data. [PDF]

ACS Omega
Cheng Y, Feng C, Zhang H, Liu T, Sun T.
europepmc   +1 more source

Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 703-717, April 2025.
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto, Amina A. Abdu, Natascha Chtena   +2 more
wiley   +1 more source

Inverse Problem Regularization for 3D Multi-Species Tumor Growth Models. [PDF]

Int J Numer Method Biomed Eng
Ghafouri A, Biros G.
europepmc   +1 more source

Performance improvement of discrete‐time linear‐quadratic regulators applied to uncertain linear systems using the Tikhonov regularization method

Asian Journal of Control, EarlyView.
Abstract The linear‐quadratic regulator (LQR) problem of optimal control of an uncertain discrete‐time linear system (DTLS) is revisited in this paper from the perspective of Tikhonov regularization. We show that an optimally chosen regularization parameter reduces, compared to the classical LQR, the values of a scalar error function, as well as the ...
Fernando Pazos, Amit Bhaya
wiley   +1 more source

Bayesian approach for localizing cardiac sources in Magnetocardiography using Vectorcardiography based total variational priors. [PDF]

Sci Rep
Bhat VR, Kotegar K, Anitha H.
europepmc   +1 more source