Results 261 to 270 of about 9,170,751 (397)
Collaborative Learning of Scattering and Deep Features for SAR Target Recognition with Noisy Labels [PDF]
Yimin Fu +3 more
openalex +1 more source
Mechanisms for target recognition and cleavage by the Cas12i RNA-guided endonuclease
Heng Zhang +3 more
semanticscholar +1 more source
This study investigated how PYCR1 inhibition in bone marrow stromal cells (BMSCs) indirectly affects multiple myeloma (MM) cell metabolism and viability. Culturing MM cells in conditioned medium from PYCR1‐silenced BMSCs impaired oxidative phosphorylation and increased sensitivity to bortezomib.
Inge Oudaert +13 more
wiley +1 more source
Improved YOLOv8 Network of Aircraft Target Recognition Based on Synthetic Aperture Radar Imaging Feature. [PDF]
Wang X +5 more
europepmc +1 more source
Following high dose rate brachytherapy (HDR‐BT) for hepatocellular carcinoma (HCC), patients were classified as responders and nonresponders. Post‐therapy serum induced increased BrdU incorporation and Cyclin E expression of Huh7 and HepG2 cells in nonresponders, but decreased levels in responders.
Lukas Salvermoser +14 more
wiley +1 more source
Underwater Target Recognition Method Based on Singular Spectrum Analysis and Channel Attention Convolutional Neural Network. [PDF]
Ji F, Lu S, Ni J, Li Z, Feng W.
europepmc +1 more source
Is recognition accuracy really impaired when the target is repeated in the display? [PDF]
Charles W. Eriksen +4 more
openalex +1 more source
Inhibition of CDK9 enhances AML cell death induced by combined venetoclax and azacitidine
The CDK9 inhibitor AZD4573 downregulates c‐MYC and MCL‐1 to induce death of cytarabine (AraC)‐resistant AML cells. This enhances VEN + AZA‐induced cell death significantly more than any combination of two of the three drugs in AraC‐resistant AML cells.
Shuangshuang Wu +18 more
wiley +1 more source

