Results 41 to 50 of about 1,106,758 (269)

xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning

Sensors, 2022
With tracking systems becoming more widespread in sports research and regular training and competitions, more data are available for sports analytics and performance prediction. We analyzed 2523 ski jumps from 205 athletes on five venues. For every jump,
Johannes Link, Leo Schwinn, Falk Pulsmeyer, Thomas Kautz, Bjoern M. Eskofier   +4 more
doaj   +1 more source

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

Molecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee, Byung‐Cheol Han, Gi‐Bang Koo, Jihye Park, Mijin Kwon, Young Bin Park, Jae‐Mun Choi, Seung‐Ho Lee, Sangho Roh   +8 more
wiley   +1 more source

I-MPN: inductive message passing network for efficient human-in-the-loop annotation of mobile eye tracking data

Scientific Reports
Comprehending how humans process visual information in dynamic settings is crucial for psychology and designing user-centered interactions. While mobile eye-tracking systems combining egocentric video and gaze signals can offer valuable insights, manual ...
Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag   +7 more
doaj   +1 more source

Prediction, Knowledge, and Explainability: Examining the Use of General Value Functions in Machine Knowledge

Frontiers in Artificial Intelligence, 2022
Within computational reinforcement learning, a growing body of work seeks to express an agent's knowledge of its world through large collections of predictions.
Alex Kearney, Johannes Günther, Johannes Günther, Patrick M. Pilarski, Patrick M. Pilarski, Patrick M. Pilarski   +5 more
doaj   +1 more source

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

FEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman, Jessica Haines, Connie Pritchard, Stephen Rutherford, Nigel Francis   +4 more
wiley   +1 more source

eyeNotate: Interactive Annotation of Mobile Eye Tracking Data Based on Few-Shot Image Classification

Journal of Eye Movement Research
Mobile eye tracking is an important tool in psychology and human-centered interaction design for understanding how people process visual scenes and user interfaces.
Michael Barz, Omair Shahzad Bhatti, Hasan Md Tusfiqur Alam, Duy Minh Ho Nguyen, Kristin Altmeyer, Sarah Malone, Daniel Sonntag   +6 more
doaj   +1 more source

Online Batch Selection for Enhanced Generalization in Imbalanced Datasets

Algorithms, 2023
Importance sampling, a variant of online sampling, is often used in neural network training to improve the learning process, and, in particular, the convergence speed of the model.
George Ioannou, Georgios Alexandridis, Andreas Stafylopatis   +2 more
doaj   +1 more source

Biological learning and artificial intelligence [PDF]

, 1994
It was once taken for granted that learning in animals and man could be explained with a simple set of general learning rules, but over the last hundred years, a substantial amount of evidence has been accumulated that points in a quite different ...
Balkenius, Christian
core   +3 more sources

Higher Amyloid and Tau Burden Is Associated With Faster Decline on a Digital Cognitive Test

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective A 2‐min digital clock‐drawing test (DCTclock) captures more granular features of the clock‐drawing process than the pencil‐and‐paper clock‐drawing test, revealing more subtle deficits at the preclinical stage of Alzheimer's disease (AD). A previous cross‐sectional study demonstrated that worse DCTclock performance was associated with
Jessie Fanglu Fu, Talia Robinson, Marina Rodriguez Alonso, Adela Francis Malave, Roos J. Jutten, Michael J. Properzi, Brian C. Healy, Jackson C. Thompson, Grace Del Carmen Montenegro, Emma Thibault, Dana Penney, Randall Davis, Reisa A. Sperling, Kathryn V. Papp, Keith A. Johnson, Julie C. Price, Dorene M. Rentz   +16 more
wiley   +1 more source

Real-Time multifaceted artificial intelligence vs In-Person instruction in teaching surgical technical skills: a randomized controlled trial

Scientific Reports
Trainees develop surgical technical skills by learning from experts who provide context for successful task completion, identify potential risks, and guide correct instrument handling.
Recai Yilmaz, Mohamad Bakhaidar, Ahmad Alsayegh, Nour Abou Hamdan, Ali M. Fazlollahi, Trisha Tee, Ian Langleben, Alexander Winkler-Schwartz, Denis Laroche, Carlo Santaguida, Rolando F. Del Maestro   +10 more
doaj   +1 more source