54 research outputs found

    DESIGN, SYNTHESIS AND EVALUATION OF NEW PHOSPHOTYROSINE MIMICS

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    Ph.DDOCTOR OF PHILOSOPH

    A comprehensive multimodal dataset for contactless lip reading and acoustic analysis

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    Small-scale motion detection using non-invasive remote sensing techniques has recently garnered significant interest in the field of speech recognition. Our dataset paper aims to facilitate the enhancement and restoration of speech information from diverse data sources for speakers. In this paper, we introduce a novel multimodal dataset based on Radio Frequency, visual, text, audio, laser and lip landmark information, also called RVTALL. Specifically, the dataset consists of 7.5 GHz Channel Impulse Response (CIR) data from ultra-wideband (UWB) radars, 77 GHz frequency modulated continuous wave (FMCW) data from millimeter wave (mmWave) radar, visual and audio information, lip landmarks and laser data, offering a unique multimodal approach to speech recognition research. Meanwhile, a depth camera is adopted to record the landmarks of the subject’s lip and voice. Approximately 400 minutes of annotated speech profiles are provided, which are collected from 20 participants speaking 5 vowels, 15 words, and 16 sentences. The dataset has been validated and has potential for the investigation of lip reading and multimodal speech recognition

    Chemical Proteomics of Host-Pathogen Interaction

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    In less than two decades, activity-based protein profiling (ABPP) has expanded to become the de facto tool for the study of small molecule-protein interactions in a proteomic environment. In this issue, Na et al. (2015) present another ABPP method, which they called reactive probe-based chemical proteomics, to study host-pathogen interaction and subsequently identify the protein PheA as a potential key effector during the pathogen infection process

    Developing new chemical tools for DNA methyltransferase 1 (DNMT 1): A small-molecule activity-based probe and novel tetrazole-containing inhibitors

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    10.1016/j.bmc.2015.03.006Bioorganic and Medicinal Chemistry23122917-292

    An automatic solution to make HTCondor more stable and easier

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    HTCondor has been widely adopted by HEP clusters to provide high-level scheduling performance. Unlike other schedulers, HTCondor provides loose management of the worker nodes. We developed a maintenance automation tool called “HTCondor MAT” that focuses on dynamic resource management and automatic error handling. A central database records all worker node information, which is sent to the worker node for the startd configuration. If an error happens for the worker node, the node information stored in the database is updated and the worker node is reconfigured with the new node information. The new configuration stops the startd from accepting error-related jobs until the worker node recovers. The MAT has been deployed in the IHEP HTC cluster to provide a central way to manage the worker nodes and remove the impacts of errors on the worker nodes automatically

    The use of click chemistry in the emerging field of catalomics

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    10.1039/b923331hOrganic and Biomolecular Chemistry881749-176

    An automatic solution to make HTCondor more stable and easier

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    HTCondor has been widely adopted by HEP clusters to provide high-level scheduling performance. Unlike other schedulers, HTCondor provides loose management of the worker nodes. We developed a maintenance automation tool called “HTCondor MAT” that focuses on dynamic resource management and automatic error handling. A central database records all worker node information, which is sent to the worker node for the startd configuration. If an error happens for the worker node, the node information stored in the database is updated and the worker node is reconfigured with the new node information. The new configuration stops the startd from accepting error-related jobs until the worker node recovers. The MAT has been deployed in the IHEP HTC cluster to provide a central way to manage the worker nodes and remove the impacts of errors on the worker nodes automatically

    Follistatin is a novel biomarker for lung adenocarcinoma in humans.

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    Follistatin (FST), a single chain glycoprotein, is originally isolated from follicular fluid of ovary. Previous studies have revealed that serum FST served as a biomarker for pregnancy and ovarian mucinous tumor. However, whether FST can serve as a biomarker for diagnosis in lung adenocarcinoma of humans remains unclear.The study population consisted of 80 patients with lung adenocarcinoma, 40 patients with ovarian adenocarcinoma and 80 healthy subjects. Serum FST levels in patients and healthy subjects were measured using ELISA. The results showed that the positive ratio of serum FST levels was 51.3% (41/80), which was comparable to the sensitivity of FST in 40 patients with ovarian adenocarcinoma (60%, 24/40) using the 95th confidence interval for the healthy subject group as the cut-off value. FST expressions in lung adenocarcinoma were examined by immunohistochemical staining, we found that lung adenocarcinoma could produce FST and there was positive correlation between the level of FST expression and the differential degree of lung adenocarcinoma. Furthermore, the results showed that primary cultured lung adenocarcinoma cells could secrete FST, while cells derived from non-tumor lung tissues almost did not produce FST. In addition, the results of CCK8 assay and flow cytometry showed that using anti-FST monoclonal antibody to neutralize endogenous FST significantly augmented activin A-induced lung adenocarcinoma cells apoptosis.These data indicate that lung adenocarcinoma cells can secret FST into serum, which may be beneficial to the survival of adenocarcinoma cells by neutralizing activin A action. Thus, FST can serve as a promising biomarker for diagnosis of lung adenocarcinoma and a useful biotherapy target for lung adenocarcinoma

    Prolonged exposure to the herbicide atrazine suppresses immune cell functions by inducing spleen cell apoptosis in rats

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    Atrazine (ATR) is a herbicide used widely worldwide. Because of its prolonged persistence in the environment and accumulation in the body, ATR exposure is a potential threat to human health. Our previous study showed that subacute exposure to ATR suppresses cellular immune function in mice. In this study, the effects of long-term exposure to ATR on rat immunological system function were measured. Four-week-old female Sprague-Dawley (SD) rats were treated with 0.4 μmol/L, 2 μmol/L and 10 μmol/L ATR for 24 weeks. The results showed that the spleen index increased, white blood cells decreased, and monocytes and eosinophils increased. No obvious changes were detected in the numbers of neutrophils and lymphocytes. Th1, Th2, and Th17 cells decreased significantly, while Treg cells increased after long-term ATR exposure. Moreover, serum levels of cytokines, including TNF-α, INF-γ, IL-6, and IL-12, decreased, while IL-1, IL-4, and IL-5 increased. Degenerative changes and cell apoptosis were found in the spleen; Caspase-3 and Caspase-9 were upregulated, and Bcl-2 was downregulated. These results suggested that long-term ATR exposure may inhibit immune system function
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