1,459 research outputs found
Total Nuclear Reaction Cross Section Induced by Halo Nuclei and Stable Nuclei
We develop the method for the calculation of the total reaction cross
sections induced by the halo nuclei and stable nuclei. This approach is based
on the Glauber theory, which is valid for nuclear reactions at high energy. It
is extended for nuclear reactions at low energy and intermediate energy by
including both the quantum correction and Coulomb correction under the
assumption of the effective nuclear density distribution. The calculated
results of the total reaction cross section induced by stable nuclei agree well
with the 30 experimental data within 10 percent accuracy.The comparison between
the numerical results and the 20 experimental data for the total nuclear
reaction cross section induced by the neutron halo nuclei and the proton halo
nuclei indicates a satisfactory agreement after considering the halo structure
of these nuclei, which implies the quite different mean fields for the nuclear
reactions induced by halo nuclei and stable nuclei. The halo nucleon
distributions and the root mean square radii of these nuclei can be extracted
from above comparison based on the improved Glauber model, which indicate
clearly the halo structures of these nuclei. Especially, it is clear to see
that the medium correction of the nucleon-nucleon collision has little effect
on the total reaction cross sections induced by the halo nuclei due to the very
weak binding and the very extended density distribution.Comment: 15 pages,2 figures. Communucations in Theoretical Physics, (2003) in
pres
FluentSpeech: Stutter-Oriented Automatic Speech Editing with Context-Aware Diffusion Models
Stutter removal is an essential scenario in the field of speech editing.
However, when the speech recording contains stutters, the existing text-based
speech editing approaches still suffer from: 1) the over-smoothing problem in
the edited speech; 2) lack of robustness due to the noise introduced by
stutter; 3) to remove the stutters, users are required to determine the edited
region manually. To tackle the challenges in stutter removal, we propose
FluentSpeech, a stutter-oriented automatic speech editing model. Specifically,
1) we propose a context-aware diffusion model that iteratively refines the
modified mel-spectrogram with the guidance of context features; 2) we introduce
a stutter predictor module to inject the stutter information into the hidden
sequence; 3) we also propose a stutter-oriented automatic speech editing (SASE)
dataset that contains spontaneous speech recordings with time-aligned stutter
labels to train the automatic stutter localization model. Experimental results
on VCTK and LibriTTS datasets demonstrate that our model achieves
state-of-the-art performance on speech editing. Further experiments on our SASE
dataset show that FluentSpeech can effectively improve the fluency of
stuttering speech in terms of objective and subjective metrics. Code and audio
samples can be found at https://github.com/Zain-Jiang/Speech-Editing-Toolkit.Comment: Accepted by ACL 2023 (Findings
Evodiamide
The title compound, C19H21N3O, was isolated from the fruits of Evodia rutaecarpa. The indole and benzene rings are both essentially planar with mean derivations of 0.0094 (4) Å and 0.0077 (3) Å, respectively. The dihedral angle between these two planes is 78.24 (9)°. The amide carbonyl plane is roughly parallel to the indole ring with a dihedral angle of 7.0 (2)°, but makes a dihedral angle of 82.9 (3)° with the benzene ring. Intermolecular N—H⋯O hydrogen-bonding interactions involving the amino and carbonyl groups give rise to a three-dimensional network
Identification of a differentially expressed gene, ACL, between Meishan × Large White and Large White × Meishan F1 hybrids and their parents
ATP-citrate lyase (ACL), one of the lipogenic enzymes, catalyses the formation of acetyl-coenzyme A (CoA) involved in the synthesis of fatty acid and cholesterol. In pig, very little is known about the ACL gene. In this work, the mRNA differential display technique was used to analyse the differences in gene expression between Meishan and Large White pigs and the F1 hybrids of both direct and reciprocal crosses. Our results show that among the differentially expressed genes ACL is up-regulated in the backfat of the F1 hybrids. After cloning and analysing the fulllength cDNA and the 870 bp 5'-flanking sequence of the porcine ACL gene, a C/T mutation at position -97 bp upstream of the transcription site was detected. Luciferase activity detection showed that this mutation changed the transcriptional activity. In F1 hybrids, the heterozygous genotype CT was more frequent than the homozygous genotypes CC and TT. Real-time PCR analysis showed that in Meishan pigs, ACL mRNA expression was more abundant in individuals with genotype CT than in those with genotype CC or TT or in Large White pigs. These results indicate that the C/T mutation affects ACL mRNA expression, probably via the activator protein 2
Automated Detection of High-Frequency Oscillations in Epilepsy Based on a Convolutional Neural Network
Epilepsy is one of the most common chronic neurological diseases. High-frequency oscillations (HFOs) have emerged as promising biomarkers for the epileptogenic zone. However, visual marking of HFOs is a time-consuming and laborious process. Several automated techniques have been proposed to detect HFOs, yet these are still far from being suitable for application in a clinical setting. Here, ripples and fast ripples from intracranial electroencephalograms were detected in six patients with intractable epilepsy using a convolutional neural network (CNN) method. This approach proved more accurate than using four other HFO detectors integrated in RIPPLELAB, providing a higher sensitivity (77.04% for ripples and 83.23% for fast ripples) and specificity (72.27% for ripples and 79.36% for fast ripples) for HFO detection. Furthermore, for one patient, the Cohen's kappa coefficients comparing automated detection and visual analysis results were 0.541 for ripples and 0.777 for fast ripples. Hence, our automated detector was capable of reliable estimates of ripples and fast ripples with higher sensitivity and specificity than four other HFO detectors. Our detector may be used to assist clinicians in locating epileptogenic zone in the future
AST1306, A Novel Irreversible Inhibitor of the Epidermal Growth Factor Receptor 1 and 2, Exhibits Antitumor Activity Both In Vitro and In Vivo
Despite the initial response to the reversible, ATP-competitive quinazoline inhibitors that target ErbB-family, such a subset of cancer patients almost invariably develop resistance. Recent studies have provided compelling evidence that irreversible ErbB inhibitors have the potential to override this resistance. Here, we found that AST1306, a novel anilino-quinazoline compound, inhibited the enzymatic activities of wild-type epidermal growth factor receptor (EGFR) and ErbB2 as well as EGFR resistant mutant in both cell-free and cell-based systems. Importantly, AST1306 functions as an irreversible inhibitor, most likely through covalent interaction with Cys797 and Cys805 in the catalytic domains of EGFR and ErbB2, respectively. Further studies showed that AST1306 inactivated pathways downstream of these receptors and thereby inhibited the proliferation of a panel of cancer cell lines. Although the activities of EGFR and ErbB2 were similarly sensitive to AST1306, ErbB2-overexpressing cell lines consistently exhibited more sensitivity to AST1306 antiproliferative effects. Consistent with this, knockdown of ErbB2, but not EGFR, decreased the sensitivity of SK-OV-3 cells to AST1306. In vivo, AST1306 potently suppressed tumor growth in ErbB2-overexpressing adenocarcinoma xenograft and FVB-2/Nneu transgenic breast cancer mouse models, but weakly inhibited the growth of EGFR-overexpressing tumor xenografts. Tumor growth inhibition induced by a single dose of AST1306 in the SK-OV-3 xenograft model was accompanied by a rapid (within 2 h) and sustained (≥24 h) inhibition of both EGFR and ErbB2, consistent with an irreversible inhibition mechanism. Taken together, these results establish AST1306 as a selective, irreversible ErbB2 and EGFR inhibitor whose growth-inhibitory effects are more potent in ErbB2-overexpressing cells
Microarray-Based Approach Identifies Differentially Expressed MicroRNAs in Porcine Sexually Immature and Mature Testes
MicroRNAs (miRNAs) are short non-coding RNA molecules which are proved to be involved in mammalian spermatogenesis. Their expression and function in the porcine germ cells are not fully understood.We employed a miRNA microarray containing 1260 unique miRNA probes to evaluate the miRNA expression patterns between sexually immature (60-day) and mature (180-day) pig testes. One hundred and twenty nine miRNAs representing 164 reporter miRNAs were expressed differently (p<0.1). Fifty one miRNAs were significantly up-regulated and 78 miRNAs were down-regulated in mature testes. Nine of these differentially expressed miRNAs were validated using quantitative RT-PCR assay. Totally 15,919 putative miRNA-target sites were detected by using RNA22 method to align 445 NCBI pig cDNA sequences with these 129 differentially expressed miRNAs, and seven putative target genes involved in spermatogenesis including DAZL, RNF4 gene were simply confirmed by quantitative RT-PCR.Overall, the results of this study indicated specific miRNAs expression in porcine testes and suggested that miRNAs had a role in regulating spermatogenesis
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