Results 71 to 80 of about 281,124 (345)
Background We compared Fakhravac and BBIBP-Corv2 vaccines in a phase III trial. Method We conducted a multicenter, parallel-group, active-control, non-inferiority clinical trial with pragmatic considerations assessing the safety and efficacy of Fakhravac
Masoud Solaymani-Dodaran +18 more
doaj +1 more source
ABSTRACT Electrochemical biosensors enable the accurate and timely detection of clinical biomarkers, improving healthcare and precision medicine. MXene nanosheets, a class of 2D transition metal carbides, nitrides, and carbonitrides, are promising materials for developing next‐generation electrochemical biosensors due to their unique physicochemical ...
Muhsin Ali +4 more
wiley +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 ...
Tian, Jinchuan +5 more
openaire +2 more sources
The hydroporator platform employs controlled hydrodynamic deformation for efficient mRNA and CRISPR/Cas9 delivery into primary human T cells, enabling allogeneic CAR‐T cell manufacturing. It preserves cell functionality and drives potent gene editing, CAR expression, and tumor cytotoxicity, while feature‐based analysis links these functional outcomes ...
Soohyun Jeon +6 more
wiley +1 more source
The biology and clinical potential of circulating tumor cells
Tumor cells can shed from the tumor, enter the circulation and travel to distant organs, where they can seed metastases. These cells are called circulating tumor cells (CTCs).
Lozar Taja +4 more
doaj +1 more source
A Study of All-Convolutional Encoders for Connectionist Temporal Classification
Connectionist temporal classification (CTC) is a popular sequence prediction approach for automatic speech recognition that is typically used with models based on recurrent neural networks (RNNs).
Gimpel, Kevin +3 more
core +1 more source
Unraveling the Molecular Mechanisms Underlying Spontaneous Multipolar Mitosis Through CIN‐seq
Multipolar mitosis, a hallmark of chromosomal instability (CIN), drives tumor heterogeneity but is challenging to study in live cells. Using CIN‐seq, a single‐cell multiomics method, we profiled rare CIN events and identified mechanisms associated with viable multipolar mitosis, including PTEN attenuation, Rho GTPase‐driven cytokinesis failure, and ...
Pin‐Rui Su +10 more
wiley +1 more source
This article examines the role of the British Council in facilitating cultural cooperation between the UK and Indonesia through the Connections Through Culture (CTC) program.
Pramudya Raharjo, Dini Putri Saraswati
doaj +1 more source
Improving Hybrid CTC/Attention Architecture for Agglutinative Language Speech Recognition [PDF]
Zeyu Ren +4 more
openalex +1 more source
Improving CTC-AED model with integrated-CTC and auxiliary loss regularization
Connectionist temporal classification (CTC) and attention-based encoder decoder (AED) joint training has been widely applied in automatic speech recognition (ASR). Unlike most hybrid models that separately calculate the CTC and AED losses, our proposed integrated-CTC utilizes the attention mechanism of AED to guide the output of CTC.
Zhu, Daobin +2 more
openaire +2 more sources

