Results 161 to 170 of about 495,121 (361)
Gamifying anatomy outreach: An underexplored opportunity
Abstract This article explores the underutilized potential of incorporating gamified approaches into anatomy outreach initiatives. While gamification and game‐based learning approaches have been widely adopted in formal educational settings, there is a surprising lack of research on their application for community‐based public engagement with anatomy ...
Mikaela L. Stiver+3 more
wiley +1 more source
Using the Abstract Computer Architecture Description Language to Model AI Hardware Accelerators [PDF]
Mika Markus Müller+4 more
openalex +1 more source
Lessons learned from conducting assessments in radioanatomy courses on learning management systems
Abstract Radioanatomy, short for radiographic anatomy, is the study of anatomy through medical imaging. Its early‐stage introduction into medical curricula has been recommended in the literature. As with many other medical courses, it has seen a shift toward blended learning, including assessment on learning management systems such as Moodle, one ...
Christian Grévisse, Françoise Kayser
wiley +1 more source
‘SOMS BrainSpace’: A digital serious game for undergraduate neuroscience
Abstract Neuroanatomy is challenging for many undergraduates, requiring strong visuospatial skills and a deep understanding of complex concepts. This study developed and evaluated SOMS BrainSpace, a digital serious game for neuroanatomy education, using a mixed methods approach.
Anthony Tran+3 more
wiley +1 more source
Advance Features of Hardware Description Language (VHDL) for Undergraduate Students [PDF]
Alireza Kavianpour
openalex +1 more source
Abstract This review examines the role of open citations in fostering transparency, reproducibility, and accessibility in scholarly communication. Through a critical synthesis of diverse sources—articles, proceedings, presentations, datasets, and blog posts—it explores the motivations behind citing, the evolving meanings of citations, and key ...
Zehra Taşkın
wiley +1 more source
A General Approach to Dropout in Quantum Neural Networks
Randomly dropping artificial neurons and all their connections in the training phase reduces overfitting issues in classical neural networks, thus improving performances on previously unseen data. The authors introduce different dropout strategies applied to quantum neural networks, learning models based on parametrized quantum circuits.
Francesco Scala+3 more
wiley +1 more source
Verification Of Hardware Description Language Designs [PDF]
Joanne DeGroat
openalex +1 more source
Abstract There has been a notable increase in bibliometric research studying gender in academia. This narrative review aims to organize and synthesize this extensive body of work to uncover new insights into gender disparities in science. We begin by analyzing key methodological elements, including gender assignment techniques, units of analysis, and ...
Elvira González‐Salmón+2 more
wiley +1 more source
Abstract This ethnographic study explores vehicle residents' information practices in the United States (US). Vehicle residents are people whose primary means of housing is a vehicle. This work builds on previous research encompassing transitions and fractured (information) landscapes. Using fractured information landscapes as the theoretical framework,
Kaitlin E. Montague
wiley +1 more source