Results 221 to 230 of about 2,288,890 (272)

Robust two stages federated learning for sensor based human activity recognition with label noise. [PDF]

Sci Rep
Sun H, Yao J, Li X, Liu Y, Gu H.
europepmc   +1 more source

Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin

Molecular Oncology, EarlyView.
Basroparib, a selective tankyrase inhibitor, suppresses Wnt signaling and attenuates YAP‐driven oncogenic programs by stabilizing angiomotin. It promotes AMOT–YAP complex formation, enforces cytoplasmic YAP sequestration, inhibits YAP/TEAD transcription, and sensitizes YAP‐active cancers, including KRAS‐mutant colorectal cancer, to MEK inhibition.
Young‐Ju Kwon, Dong Young Kim, Yuna Kim, Uk‐Il Kim, Jae‐Sung Kim   +4 more
wiley   +1 more source

Data Reconstruction Methods in Multi-Feature Fusion CNN Model for Enhanced Human Activity Recognition. [PDF]

Sensors (Basel)
Ko JE, Kim S, Sul JH, Kim SM.
europepmc   +1 more source

Cotargeting TREM2 and IL2 pathways triggers multipronged anticancer immunity

Molecular Oncology, EarlyView.
Von Locquenghien et al. report that MiTE‐144, a triggering receptor expressed on myeloid cells 2 (TREM2) blocking antibody fused to interleukin‐2 (IL2) variant with tumour microenvironment restricted activation, demonstrates superior anticancer efficiency in a preclinical setting.
Isaure Vanmeerbeek, Jenny Sprooten, Abhishek D. Garg   +2 more
wiley   +1 more source

Retraction Note: Enhanced human activity recognition in medical emergencies using a hybrid deep CNN and bi-directional LSTM model with wearable sensors. [PDF]

Sci Rep
Chandramouli NA, Natarajan S, Alharbi AH, Kannan S, Khafaga DS, Raju SK, Eid MM, El-Kenawy EM.   +7 more
europepmc   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Reducing Label Dependency in Human Activity Recognition with Wearables: From Supervised Learning to Novel Weakly Self-Supervised Approaches. [PDF]

Sensors (Basel)
Sheng T, Huber M.
europepmc   +1 more source

Skeleton Reconstruction Using Generative Adversarial Networks for Human Activity Recognition Under Occlusion. [PDF]

Sensors (Basel)
Vernikos I, Spyrou E.
europepmc   +1 more source

Human Activity Recognition Through Augmented WiFi CSI Signals by Lightweight Attention-GRU. [PDF]

Sensors (Basel)
Kang H, Kim D, Toh KA.
europepmc   +1 more source

Machine Learning Techniques for Sensor-Based Human Activity Recognition with Data Heterogeneity-A Review. [PDF]

Sensors (Basel)
Ye X, Sakurai K, Nair NC, Wang KI.
europepmc   +1 more source