Results 61 to 70 of about 279,804 (305)
This article advocates integrating temporal dynamics into cancer research. Rather than relying on static snapshots, researchers should increasingly consider adopting dynamic methods—such as live imaging, temporal omics, and liquid biopsies—to track how tumors evolve over time.
Gautier Follain+3 more
wiley +1 more source
In recent years, with the development of deep learning, research on end-to-end mispronunciation detection and diagnosis(MDD) methods has been further promoted.
Shen Guo+4 more
doaj +1 more source
Inhibitor of DNA binding‐1 is a key regulator of cancer cell vasculogenic mimicry
Elevated expression of transcriptional regulator inhibitor of DNA binding 1 (ID1) promoted cancer cell‐mediated vasculogenic mimicry (VM) through regulation of pro‐angiogenic and pro‐cancerous genes (e.g. VE‐cadherin (CDH5), TIE2, MMP9, DKK1). Higher ID1 expression also increased metastases to the lung and the liver.
Emma J. Thompson+11 more
wiley +1 more source
Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models
Brain encoding and decoding via functional magnetic resonance imaging (fMRI) are two important aspects of visual perception neuroscience. Although previous researchers have made significant advances in brain encoding and decoding models, existing methods
Changde Du+3 more
doaj
The novel family of redundant residue number system (RRNS) codes is studied. RRNS codes constitute maximum–minimum distance block codes, exhibiting identical distance properties to Reed–Solomon codes.
Hanzo, L., Liew, T.H., Yang, L-L.
core +1 more source
B‐cell chronic lymphocytic leukemia (B‐CLL) and monoclonal B‐cell lymphocytosis (MBL) show altered proteomes and phosphoproteomes, analyzed using mass spectrometry, protein microarrays, and western blotting. Identifying 2970 proteins and 316 phosphoproteins, including 55 novel phosphopeptides, we reveal BCR and NF‐kβ/STAT3 signaling in disease ...
Paula Díez+17 more
wiley +1 more source
Probabilistic decoding algorithm for quantum stabilizer codes
To improve the performance of quantum decoding algorithm,a quantum probabilistic decoding algorithm(QPDA) based on the check matrix for quantum stabilizer codes was proposed.To achieve low error rates the error op-erator with the minimum quantum weight ...
XIAO Fang-ying, CHEN Han-wu
doaj +2 more sources
Decoding algorithms for surface codes [PDF]
Quantum technologies have the potential to solve certain computationally hard problems with polynomial or super-polynomial speedups when compared to classical methods.
Antonio deMarti iOlius+4 more
doaj +1 more source
Transformer-Based Methods for Neural Decoding
Neural decoding from spiking activity is an essential tool for understanding the information encoded in population neurons, especially in applications like brain-computer interface (BCI). Various quantitative methods have been proposed and have shown superiorities under different scenarios respectively.
openaire +2 more sources
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song+11 more
wiley +1 more source