Results 211 to 220 of about 902,851 (265)

ZW4864‐mediated inhibition of the β‐catenin/BCL9/BCL9L complex reveals therapeutic potential in bladder cancer

Molecular Oncology, EarlyView.
BCL9 and BCL9L drive bladder cancer progression by enhancing β‐catenin signaling, promoting proliferation, migration, invasion, and organoid growth. Genetic depletion of BCL9(L) suppresses malignant phenotypes, while pharmacological disruption of the β‐catenin/BCL9(L) complex with ZW4864 inhibits canonical Wnt signaling and tumor‐associated cellular ...
Roland Kotolloshi, Mandy Berndt‐Paetz, Eileen Lerner, Gregoire Najjar, Anca Azoitei, Krishna Pal Singh, Shailendra Kumar Gupta, Olaf Wolkenhauer, Cagatay Günes, Otmar Huber, Marc‐Oliver Grimm, Daniel Steinbach   +11 more
wiley   +1 more source

Implementing ensemble of deep learning model with optimization techniques for human activity recognition to assist individuals with disabilities. [PDF]

Sci Rep
Alqahtani H.
europepmc   +1 more source

Dynamic graph neural networks for UAV-based group activity recognition in structured team sports. [PDF]

Front Neurorobot
Zahra I, Wu Y, Alhasson HF, Alharbi SS, Aljuaid H, Jalal A, Liu H.   +6 more
europepmc   +1 more source

Enhancing human activity recognition with machine learning: insights from smartphone accelerometer and magnetometer data. [PDF]

PeerJ Comput Sci
Silva Zendron LA, Coelho PJ, Soares C, Pereira I, Pires IM.   +4 more
europepmc   +1 more source

Towards User-Generalizable Wearable-Sensor-Based Human Activity Recognition: A Multi-Task Contrastive Learning Approach. [PDF]

Sensors (Basel)
Guo P, Nakayama M.
europepmc   +1 more source

Hierarchical query design and distributed attention in transformer for player group activity recognition in sports analysis. [PDF]

Sci Rep
Chen X, Liu Z.
europepmc   +1 more source

Ensemble transfer learning for classifying physical examinations in GP consultation: a multi-model approach to human-object and human-to-human activity recognition. [PDF]

J Am Med Inform Assoc
Waheed M, Xiong H, Tong K, Lau AYS.
europepmc   +1 more source

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Sensor-Based Activity Recognition

IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 2012
Research on sensor-based activity recognition has, recently, made significant progress and is attracting growing attention in a number of disciplines and application domains. However, there is a lack of high-level overview on this topic that can inform related communities of the research state of the art.
Jesse Hoey, Liming Chen, Diane Cook
exaly   +2 more sources