Results 151 to 160 of about 677,995 (332)

A Transformer Based Network Using Micro-Doppler Features for Continuous Human Motion Recognition [PDF]

, 2022
Liubing Jiang, Minyang wu, Li Che, Xiaoyong Xu, Yujie Mu, Yongman Wu   +5 more
openalex   +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

Metal-organic frameworks meet Uni-MOF: a transformer-based gas adsorption detector [PDF]

, 2023
Jingqi Wang, Jiapeng Liu, Hongshuai Wang, Guolin Ke, Linfeng Zhang, Jian Wu, Zhifeng Gao, Diannan Lu   +7 more
openalex   +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

Enhancing Bidirectional Encoder Representations From Transformers (BERT) With Frame Semantics to Extract Clinically Relevant Information From German Mammography Reports: Algorithm Development and Validation (Preprint) [PDF]

Daniel Reichenpfader, Jonas Knupp, Sandro von Däniken, Roberto Gaio, Fabio Dennstädt, Grazia M. Cereghetti, André Sander, Hans Hiltbrunner, Knud Nairz, Kerstin Denecke   +9 more
openalex   +1 more source

Achieving High Accuracy in Lemon Quality Classification: A Comparative Study of Deep Learning and Transformer Models [PDF]

, 2023
Sezer Dümen, Esra Kavalcı Yılmaz, Kemal Adem, Erdinç Avaroğlu   +3 more
openalex   +1 more source

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Mathematical modeling and experimental research on grounding current calculation of converter transformer core

Measurement + Control
When the converter transformer core is grounded at multi-points, a fault loop will be formed and a circulation will be generated, leading to local overheating of the magnetic core and decomposition of insulating oil.
Xiu Zhou, Tian Tian, Peng Wu, Yan Luo, Jin Bai, Ninghui He, Xiuguang Li   +6 more
doaj   +1 more source

Decision letter for "Normograms preparation and interpretation for 400/ 800 kV class of converter transformers/reactors with and without oil using sweep frequency response analysis ( SFRA )"

, 2020

openalex   +1 more source