Results 71 to 80 of about 703,662 (260)
Multiple ETS family transcription factors bind mutant p53 via distinct interaction regions
Mutant p53 gain‐of‐function is thought to be mediated by interaction with other transcription factors. We identify multiple ETS transcription factors that can bind mutant p53 and found that this interaction can be promoted by a PXXPP motif. ETS proteins that strongly bound mutant p53 were upregulated in ovarian cancer compared to ETS proteins that ...
Stephanie A. Metcalf +6 more
wiley +1 more source
Simultaneous Classification of Objects with Unknown Rejection (SCOUR) Using Infra-Red Sensor Imagery
Recognizing targets in infra-red images is an important problem for defense and security applications. A deployed network must not only recognize the known classes, but it must also reject any new or unknown objects without confusing them to be one of ...
Adam Cuellar +3 more
doaj +1 more source
2D scattering centre intensity pre-estimated method based on matrix pencil method
The accuracy of ultra wide band (UWB) scattering centre parameter estimation is the key bases in the study of target classification and identification. A novel 2D scattering centre parameter estimation algorithm for microwave chamber target is presented ...
Jun Wang, Yao Lu, Shaoming Wei
doaj +1 more source
The newfound relationship between extrachromosomal DNAs and excised signal circles
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley +1 more source
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
Deep neural networks (DNNs) have demonstrated remarkable potential in automatic target classification using synthetic aperture radar (SAR) imagery. However, their performance heavily relies on the availability of sufficient training data, which is often ...
Min-Seok Kang
doaj +1 more source
Wall-Corner Classification Using Sonar: A New Approach Based on Geometric Features
Ultrasonic signals coming from rotary sonar sensors in a robot gives us several features about the environment. This enables us to locate and classify the objects in the scenario of the robot.
Ginés Benet, Milagros Martínez
doaj +1 more source
A Neural Network-Based Weighted Voting Algorithm for Multi-Target Classification in WSN. [PDF]
Zhang H, Zhou Y.
europepmc +1 more source
Radar Target Classification Technologies
In this chapter basics of radar target classification technologies were introduced. A classification technology was presented, that decomposes a pattern recognition module of any modern radar system in the following components: Data acquisition part, signal preprocessing and feature extraction part, classification and subclassification part, data and ...
openaire +3 more sources
Structural biology of ferritin nanocages
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source

