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As demonstrated in hybrid connectionist temporal classification (CTC)/Attention architecture, joint training with a CTC objective is very effective to solve the misalignment problem existing in the attention-based end-to-end automatic speech recognition (
Yonghong Yan, Wu Long, Yan Yonghong
exaly +3 more sources
CTC-Derived Models: A Window into the Seeding Capacity of Circulating Tumor Cells (CTCs)
Metastasis is the main cause of cancer-related death owing to the blood-borne dissemination of circulating tumor cells (CTCs) early in the process. A rare fraction of CTCs harboring a stem cell profile and tumor initiation capacities is thought to possess the clonogenic potential to seed new lesions. The highest plasticity has been generally attributed
Tala Tayoun +2 more
exaly +4 more sources
Background. A qualitative evaluation study of the prematurely terminated PrEgabalin Lidocaine Capsaicin Neuropathic Pain (PELICAN) study was performed.
Guy H. Hans +8 more
doaj +1 more source
A comparative study of the capability of MSCs isolated from different human tissue sources to differentiate into neuronal stem cells and dopaminergic-like cells [PDF]
Background Neurodegenerative diseases are characterized by progressive neuronal loss and degeneration. The regeneration of neurons is minimal and neurogenesis is limited only to specific parts of the brain.
Nidaa A. Ababneh +3 more
doaj +2 more sources
Circulating tumor cells (CTCs) have become an important biomarker in breast cancer. Different isolation tech-niques based on their biological or physical features were established.
Jesenko Tanja +8 more
doaj +1 more source
Application progress of liquid biopsy in gastric cancer
Gastric cancer (GC) is one of the most common malignant tumors globally. Guiding the individualized treatment of GC is the focus of research. Obtaining representative biological samples to study the biological characteristics of GC is the focus of ...
Xiaoting Ma, Kai Ou, Xiu Liu, Lin Yang
doaj +1 more source
Advanced automatic pronunciation error detection (APED) algorithms are usually based on state-of-the-art automatic speech recognition (ASR) techniques. With the development of deep learning technology, end-to-end ASR technology has gradually matured and ...
Long Zhang +7 more
doaj +1 more source
Bayes risk CTC: Controllable CTC alignment in Sequence-to-Sequence tasks
Sequence-to-Sequence (seq2seq) tasks transcribe the input sequence to a target sequence. The Connectionist Temporal Classification (CTC) criterion is widely used in multiple seq2seq tasks. Besides predicting the target sequence, a side product of CTC is to predict the alignment, which is the most probable input-long sequence that specifies a hard ...
Jinchuan Tian +5 more
openaire +3 more sources
Circulating tumor cells as an emerging tool in cancer therapy
Majority of the cancer-related deaths are related to metastasis during which cancer cells invade the surrounding tissues, enter (intravasation) and exit (extravasation) the peripheral circulation and seed distant organs. The Circulating Tumor Cells (CTCs)
Ajay Balakrishnan +2 more
doaj +1 more source
Magnetic Particles for CTC Enrichment [PDF]
Here, we review the characteristics and synthesis of magnetic nanoparticles (MNPs) and place these in the context of their usage in the immunomagnetic enrichment of Circulating Tumor Cells (CTCs). The importance of the different characteristics is explained, the need for a very specific enrichment is emphasized and different (commercial) magnetic ...
Peng Liu +3 more
openaire +3 more sources

