Hierarchical Local-Global Feature Fusion Network for Robust Ship Target Recognition in Complex Maritime Environment. [PDF]
Sensors (Basel)Liu X, Zhang S, Chen S, Li J, Luo Y.
europepmc +1 more source
Few-shot learning for joint model in underwater acoustic target recognition. [PDF]
Sci Rep, 2023 Tian S, Bai D, Zhou J, Fu Y, Chen D.
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FEBS Letters, EarlyView.Protein aggregates threaten proteostasis and cell health. In human cells, Hsp70–J‐domain protein‐based disaggregases remove aggregates, but how they assemble remains unclear. Our biochemical findings show that DNAJA2‐ and DNAJB1‐containing disaggregase scaffolds enhance luciferase aggregate targeting, and that Hsp70 recruitment by both J‐domain ...
Anna Szlachcic, Nadinath B. Nillegoda
wiley +1 more source
CAR-mediated target recognition limits TCR-mediated target recognition of TCR- and CAR-dual-receptor-edited T cells. [PDF]
Mol TherWachsmann TLA +8 more
europepmc +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Integrating Frequency-Spatial Features for Energy-Efficient OPGW Target Recognition in UAV-Assisted Mobile Monitoring. [PDF]
Sensors (Basel)Huang L, Ren X, Qu D, Li L, Xu J.
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The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers
Molecular Oncology, EarlyView.The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce +11 more
wiley +1 more source
Advancing SAR Target Recognition Through Hierarchical Self-Supervised Learning with Multi-Task Pretext Training. [PDF]
Sensors (Basel)Siam MA, Noor DF, Ndoye M, Khan JF.
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The Process Analysis Method of SAR Target Recognition in Pre-Trained CNN Models. [PDF]
Sensors (Basel), 2023 Zheng T, Li J, Li J, Tian H, Wu Q.
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