18 research outputs found

    Improvement of two-way continuous-variable quantum key distribution using optical amplifiers

    Full text link
    The imperfections of a receiver's detector affect the performance of two-way continuous-variable quantum key distribution protocols and are difficult to adjust in practical situations. We propose a method to improve the performance of two-way continuous-variable quantum key distribution by adding a parameter-adjustable optical amplifier at the receiver. A security analysis is derived against a two-mode collective entangling cloner attack. Our simulations show that the proposed method can improve the performance of protocols as long as the inherent noise of the amplifier is lower than a critical value, defined as the tolerable amplifier noise. Furthermore, the optimal performance can approach the scenario where a perfect detector is used.Comment: 14 pages, 7 figure

    Sprouty1 regulates reversible quiescence of a self-renewing adult muscle stem cell pool during regeneration.

    Get PDF
    Satellite cells are skeletal muscle stem cells capable of self-renewal and differentiation after transplantation, but whether they contribute to endogenous muscle fiber repair has been unclear. The transcription factor Pax7 marks satellite cells and is critical for establishing the adult satellite cell pool. By using a lineage tracing approach, we show that after injury, quiescent adult Pax7(+) cells enter the cell cycle; a subpopulation returns to quiescence to replenish the satellite cell compartment, while others contribute to muscle fiber formation. We demonstrate that Sprouty1 (Spry1), a receptor tyrosine kinase signaling inhibitor, is expressed in quiescent Pax7(+) satellite cells in uninjured muscle, downregulated in proliferating myogenic cells after injury, and reinduced as Pax7(+) cells re-enter quiescence. We show that Spry1 is required for the return to quiescence and homeostasis of the satellite cell pool during repair. Our results therefore define a role for Spry1 in adult muscle stem cell biology and tissue repair

    Artemisia pollen allergy in China : Component-resolved diagnosis reveals allergic asthma patients have significant multiple allergen sensitization

    Get PDF
    Background: Artemisia pollen allergy is a major cause of asthma in Northern China. Possible associations between IgE responses to Artemisia allergen components and clinical phenotypes have not yet been evaluated. This study was to establish sensitization patterns of four Artemisia allergens and possible associations with demographic characteristics and clinical phenotypes in three areas of China. Methods: Two hundred and forty patients allergic to Artemisia pollen were examined, 178 from Shanxi and 30 from Shandong Provinces in Northern China, and 32 from Yunnan Province in Southwestern China. Allergic asthma, rhinitis, conjunctivitis, and eczema symptoms were diagnosed. All patients sera were tested by ImmunoCAP with mugwort pollen extract and the natural components nArt v 1, nArt ar 2, nArt v 3, and nArt an 7. Results: The frequency of sensitization and the IgE levels of the four components in Artemisia allergic patients from Southwestern China were significantly lower than in those from the North. Art v 1 and Art an 7 were the most frequently recognized allergens (84% and 87%, respectively), followed by Art v 3 (66%) and Art ar 2 (48%). Patients from Northern China were more likely to have allergic asthma (50%) than patients from Southwestern China (3%), and being sensitized to more than two allergens increased the risk of allergic asthma, in which cosensitization to three major allergens Art v 1, Art v 3, and Art an 7 is prominent. Conclusions: Componentresolved diagnosis of Chinese Artemisia pollenallergic patients helps assess the potential risk of mugwortassociated allergic asthma.(VLID)329956

    Role of the Cell Adhesion Molecule L1 during Early Neural Development in Zebrafish

    No full text
    The neural cell adhesion molecule L1 is a member of the immunoglobulin superfamily and it mediates many adhesive interactions during brain development. Mutations in the L1 gene are associated with a spectrum of X-linked neurological disorders known as CRASH or L1 syndrome. The objective of this thesis was to use the zebrafish model to investigate the molecular mechanisms of L1 functions and the pathological effects of its mutations. Zebrafish has two L1 homologs, L1.1 and L1.2. Inhibition of L1.1 expression by antisense morpholino oligonucleotides resulted in phenotypes that showed resemblances to L1 patients. However, knockdown of L1.2 expression did not result in notable neural defects. Furthermore, analysis of the expression pattern of L1.1 has led to the discovery of a novel soluble L1.1 isoform, L1.1s. L1.1s is an alternatively spliced form of L1.1, consisting of the first four Ig-like domains and thus a soluble secreted protein. L1.1 morphants exhibited disorganized brain structures with many having an enlarged fourth/hindbrain ventricle. Further characterization revealed aberrations in ventricular polarity, cell patterning and proliferation and helped differentiate the functions of L1.1 and L1.1s. While L1.1 plays a pivotal role in axonal outgrowth and guidance, L1.1s is crucial to brain ventricle formation. Significantly, L1.1s mRNA rescued many anomalies in the morphant brain, but not the trunk phenotypes. Receptor analysis confirmed that L1.1 undergoes heterophilic interactions with neuropilin-1a (Nrp1a). Peptide inhibition studies demonstrated further the involvement of L1.1s in neuroepithelial cell migration during ventricle formation. In the spinal cord, spinal primary motoneurons expressed exclusively the full-length L1.1, and abnormalities in axonal projections of morphants could be rescued only by L1.1 mRNA. Further studies showed that a novel interaction between the Ig3 domain of L1.1 and Unplugged, the zebrafish muscle specific kinase (MuSK), is crucial to motor axonal growth. Together, these results demonstrate that the different parts of L1.1 contribute to the diverse functions of L1.1 in neural development.Ph

    Expression of Fertilin and CD9 in Bovine Trophoblast and Endometrium During Implantation1

    No full text

    Deep Learning-Based Energy Optimization for Edge Device in UAV-Aided Communications

    No full text
    Edge devices (EDs) carry limited energy, but 6th generation mobile networks (6G) communication will consume more energy. The unmanned aerial vehicle (UAV)-aided wireless communication network can provide communication links to EDs without a signal. However, with the time-lag system, the EDs cannot dynamically adjust the emission energy because the dynamic UAV coordinates cannot be accurately acquired. In addition, the fixed emission energy makes the EDs have poor endurance. To address this challenge, in this paper, we propose a deep learning-based energy optimization algorithm (DEO) to dynamically adjust the emission energy of the ED so that the received energy of the mobile relay UAV is, as much as possible, equal to the sensitivity of the receiver. Specifically, the edge server provides the computing platform and uses deep learning (DL) to predict the location information of the relay UAV in dynamic scenarios. Then, the ED emission energy is adjusted according to the predicted position. It enables the ED to communicate reliably with the mobile relay UAV at minimum energy. We analyze the performance of a variety of predictive networks under different time-delay systems through experiments. The results show that the Weighted Mean Absolute Percentage Error (WMAPE) of this algorithm is 0.54%, 0.80% and 1.15% under the effect of a communication delay of 0.4 s, 0.6 s and 0.8 s, respectively

    Toxicity Assessment of PEG-PCCL Nanoparticles and Preliminary Investigation on Its Anti-tumor Effect of Paclitaxel-Loading

    No full text
    Abstract The efficiency of single treatment of conventional chemotherapy drugs is unpleasantly reduced by the physiological barriers of tumors. In this regard, nanoparticles have become attractive for achieving such medical purpose of targeted cancer therapy by delivering anti-tumor agents to the needed area. A novel drug deliverer, poly (ethylene glycol) carboxyl-poly (ε-caprolactone) (PEG-PCCL), has been reported to be highly hydrophilic and stable, while little is known about its organic toxicity. This study focused on systemic toxicity assessments of PEG-PCCL. The pharmacokinetics of PTX-loaded PEG-PCCL (PEG-PCCL/PTX) and its anti-tumor effect were preliminarily investigated. In the present work, PEG-PCCL was characterized by laser particle size analyzer and transmission electron microscopy. The cytotoxicity was investigated by MTT test, LDH leakage assay, immunofluorescence, and transmission electron microscopy. Hemolysis, phlebitis, and organ toxicity tests were performed to demonstrate the biocompatibility and acute biotoxicity. H22 tumor-bearing mice were used to evaluate the pharmacokinetics of the micells of PEG-PCCL/PTX and its anti-tumor effect. The results showed that the size of PEG-PCCL nanospheres was 97 ± 2.6 nm. PEG-PCCL treatment showed little cytotoxicity and good biocompatibility, and did not exhibit organ toxicity. PTX-loading efficiency was 49.98%. The pharmacokinetic study on H22 tumor-bearing mice revealed that PEG-PCCL/PTX has higher stability and slower release than PTX alone. Together, these results suggest that PEG-PCCL nanosphere has little toxicity to organisms and is a potential candidate of biocompatible drug vehicle for hydrophobic drugs

    Table_1_Gender differences in cognitive improvements after two months of atypical antipsychotic treatment in first episode schizophrenia.docx

    No full text
    AimsThis study aims to explore the gender differences in cognitive improvements after two months of atypical antipsychotic treatment in first episode schizophrenia (FES).Methods82 patients with FES, including 50 male patients and 32 female patients, were enrolled in the present study. Positive and Negative Syndrome Scale (PANSS) and MATRICS Consensus Cognitive Battery (MCCB) were respectively conducted to evaluate the clinical symptoms and cognitive function of patients with FES at baseline and after treatment. Repeated measure ANOVA was performed to compare gender differences in cognitive domains scores between baseline and 2-month follow-up. Stepwise liner regression model was performed to explore the effect factors of cognitive improvements in patients.ResultsThere was no significant difference in age of onset, education years, PANSS scores, duration of untreated psychosis and Olanzapine equivalent doses between male and female patients (all p > 0.05). In the comparisons of cognition function, male patients exhibited better performance in social cognition compared with female patients at baseline (t = 3.20, p ConclusionsOur findings revealed gender differences of cognitive improvements in patients with FES after 2-month treatment. It provides new evidence for gender differences in cognitive symptoms of schizophrenia, and also provides preliminary clues for further individualized cognitive intervention strategies.</p
    corecore