Results 141 to 150 of about 58,532 (287)

The Use of ChatGPT to Write Assessment Questions. [PDF]

Pharmacy (Basel)
Klausner EA, Mark KS.
europepmc   +1 more source

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

Advanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Vincenzo Galdi   +4 more
wiley   +1 more source

Medical students' perception of the OSCE: development and validation of an instrument to assess formative and summative modalities. [PDF]

Einstein (Sao Paulo)
Rosalin AARDE, Couto TB.
europepmc   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

"Optimizing Learning in Integrated Curriculum"-Comparative Effectiveness of Online and Face-to-Face Formative Assessments: Mixed Methods Study. [PDF]

JMIR Med Educ
Ismail AS, Hussein SM, El-Shafey M, Al-Neklawy AF, Mansour AA, Felemban SG, Elaraby S.   +6 more
europepmc   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

Supervisor perspectives on the summative in-training assessment

, 2016
Supervisor perspectives on the summative in-training ...
CE Scarff (15795365), RM Corderoy (15795368), Margaret Bearman (13060572)   +2 more
core  

The Frankfurt 'whisper exam' - a case-based collaborative summative examination to assess clinical decision-making skills in hygiene, microbiology and virology- feasibility and evaluation. [PDF]

BMC Med Educ
Vorbeck L, Ruesseler M, Steinmetzer J, Kohmer N, Kempf VAJ, Brandt C.   +5 more
europepmc   +1 more source

Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation

Advanced Electronic Materials, EarlyView.
A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang, Nellie Laleni, Sina Ranjbar, Andreas Tsiougkos, Nandakishor Yadav, Vasilis Pavlidis, Thomas Kämpfe   +6 more
wiley   +1 more source

A summative scoring system for evaluation of human kinematic performance

, 2016
A summative scoring system for evaluation of human kinematic ...
T Pham (9897182), Pubudu Pathirana (13089972), Y Won (13679647), S Li (5107748)   +3 more
core