324 research outputs found

    Photon correlation studies of single GaN quantum dots

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    We present measurements of the second-order coherence function on emission from single GaN quantum dots. In some cases a large degree of photon antibunching is observed, demonstrating isolation of a single quantum system. For a selected quantum dot, we study the dependence of photon antibunching on excitation power and temperature. Using pulsed excitation, we demonstrate an ultraviolet triggered single-photon source operating at a wavelength of 358 nm.Comment: 3 pages, 4 figure

    Optimal Transmission Scheduling for a Hybrid of Full- and Half-Duplex Relaying

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    Full-duplex relaying (FDR), i.e., simultaneous transmission and reception using the same frequency channel at a radio relay, can be used to achieve a spectral efficiency higher than that in the case of half-duplex relaying (HDR) if loop-back interference is well-managed. To achieve spectral efficiency that is higher than that achieved when using FDR and HDR separately, an optimal transmission-scheduling scheme for an FDR-HDR hybrid is proposed. The scheme is formulated as an optimization problem. The conditions required to achieve the maximum spectral efficiency are determined analytically. Numerical results confirm that the proposed scheme is superior to FDR and HDR

    Coevolutionary genetic algorithm for constraint satisfaction with a genetic repair operator for effective schemata formation

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    We discuss a coevolutionary genetic algorithm for constraint satisfaction. Our basic idea is to explore effective genetic information in the population, i.e., schemata, and to exploit the genetic information in order to guide the population to better solutions. Our coevolutionary genetic algorithm (CGA) consists of two GA populations; the first GA, called “H-GA”, searches for the solutions in a given environment (problem), and the second GA, called “P-GA”, searches for effective genetic information involved in the H-GA, namely, good schemata. Thus, each individual in P-GA consists of alleles in H-GA or “don't care” symbol representing a schema in the H-GA. These GA populations separately evolve in each genetic space at different abstraction levels and affect with each other by two genetic operators: “superposition” and “transcription”. We then applied our CGA to constraint satisfaction problems (CSPs) incorporating a new stochastic “repair” operator for P-GA to raise the consistency of schemata with the (local) constraint conditions in CSPs. We carried out two experiments: First, we examined the performance of CGA on various “general” CSPs that are generated randomly for a wide variety of “density” and “tightness” of constraint conditions in the CSPs that are the basic measures of characterizing CSPs. Next, we examined “structured” CSPs involving latent “cluster” structures among the variables in the CSPs. For these experiments, computer simulations confirmed us the effectiveness of our CGA</p

    Parallel Transferable Uniform Multi-Round Algorithm for Minimizing Makespan

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    In parallel computing systems using the master/worker model for distributed grid computing, as the size of handling data grows, the increase in the data transmission time degrades the performance. For divisible workload applications, therefore, multiple-round scheduling algorithms have been being developed to mitigate the adverse effect of longer data transmission time by dividing the data into chunks to be sent out in multiple rounds, thus overlapping the times required for computation and transmission. However, a standard multiple-round scheduling algorithm, Uniform Multi-Round (UMR), adopts a sequential transmission model where the master communicates with one worker at a time, thus the transmission capacity of the link attached to the master cannot be fully utilized due to the limits of worker-side capacity. In the present study, a Parallel Transferable Uniform Multi-Round algorithm (PTUMR) is proposed. It efficiently utilizes the data transmission capacity of network links by allowing chunks to be transmitted in parallel to workers. This algorithm divides workers into groups in a way that fully uses the link bandwidth of the master under some constraints and considers each group of workers as one virtual worker. In particular, introducing a Grouping Threshold effectively deals with very heterogeneous workers in both data transmission and computation capacities. Then, the master schedules sequential data transmissions to the virtual workers in an optimal way like in UMR. The performance evaluations show that the proposed algorithm achieves significantly shorter turnaround times (i.e., makespan) compared with UMR regardless of heterogeneity of workers, which are close to the theoretical lower limits

    Polimorfismo no gene de metilenetetrahidrofolato redutase nĂŁo estĂĄ relacionado com o risco de doença cerebrovascular isquĂȘmica em uma população brasileira

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    OBJETIVO: Os dados sĂŁo conflitantes em relação a risco de acidente cerebrovascular associado a polimorfismo do gene 5,10-metilenetetrahidrofolato redutase C677T, o qual predispĂ”e a hiperhomocisteinemia. Um estudo de meta-anĂĄlise sugere que o genotipo 5,10-metilenetetrahidrofolato redutase 677TT poderia ter uma pequena influĂȘncia em determinar susceptibilidade a acidente cerebrovascular. MÉTODOS: Analisamos este polimorfismo em indivĂ­duos brasileiros com acidente cerebrovascular isquĂȘmico, baseando-se em um estudo de caso-controle. RESULTADOS: Comparamos os genĂłtipos 5,10-metilenetetrahidrofolato redutase em grupos de indivĂ­duos com acidente cerebrovascular isquĂȘmico (n=127) e controle normal (n=126), e encontramos Odds Ratio de 1,97 (IC 95% 0,84 - 4,64) em uma anĂĄlise multivariada, na qual os resultados foram ajustados a caracterĂ­sticas clĂ­nicas basais dos indivĂ­duos estudados. DISCUSSÃO: Nossos estudos indicam que o genĂłtipo 5,10-metilenetetrahidrofolato redutase C677T nĂŁo Ă© um fator de risco para acidente cerebrovascular isquĂȘmico entre indivĂ­duos brasileiros.PURPOSE: Data are conflicting concerning the risk for ischemic stroke associated with a common polymorphism in the gene encoding 5,10-methylenetetrahydrofolate reductase C677T, which predisposes carriers to hyperhomocysteinemia. A meta-analysis study suggested that the 5,10-methylenetetrahydrofolate reductase 677TT genotype might have a small influence in determining susceptibility to ischemic stroke. METHODS: We analyzed the 5,10-methylenetetrahydrofolate reductase 677TT genotype polymorphism in Brazilian subjects with ischemic stroke, using a case-control design. RESULTS: We compared 5,10-methylenetetrahydrofolate reductase genotypes in groups of subjects presenting ischemic stroke (n = 127) and normal control (n = 126) and found an odds ratio of 1.97 (95% CI, 0.84-4.64) in a multivariate analysis in which results were adjusted to baseline clinical characteristics of study participants. CONCLUSION: We found that the homozygous 5,10-methylenetetrahydrofolate reductase C677T genotype was not a risk factor for ischemic stroke in these Brazilian subjects

    Identification of targetable kinases in idiopathic pulmonary fibrosis

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    Background Tyrosine kinase activation plays an important role in the progression of pulmonary fibrosis. In this study, we analyzed the expression of 612 kinase-coding and cancer-related genes using next-generation sequencing to identify potential therapeutic targets for idiopathic pulmonary fibrosis (IPF). Methods Thirteen samples from five patients with IPF (Cases 1-5) and eight samples from four patients without IPF (control) were included in this study. Six of the thirteen samples were obtained from different lung segments of a single patient who underwent bilateral pneumonectomy. Gene expression analysis of IPF lung tissue samples (n = 13) and control samples (n = 8) was performed using SureSelect RNA Human Kinome Kit. The expression of the selected genes was further confirmed at the protein level by immunohistochemistry (IHC). Results Gene expression analysis revealed a correlation between the gene expression signatures and the degree of fibrosis, as assessed by Ashcroft score. In addition, the expression analysis indicated a stronger heterogeneity among the IPF lung samples than among the control lung samples. In the integrated analysis of the 21 samples, DCLK1 and STK33 were found to be upregulated in IPF lung samples compared to control lung samples. However, the top most upregulated genes were distinct in individual cases. DCLK1, PDK4, and ERBB4 were upregulated in IPF case 1, whereas STK33, PIM2, and SYK were upregulated in IPF case 2. IHC revealed that these proteins were expressed in the epithelial layer of the fibrotic lesions. Conclusions We performed a comprehensive kinase expression analysis to explore the potential therapeutic targets for IPF. We found that DCLK1 and STK33 may serve as potential candidate targets for molecular targeted therapy of IPF. In addition, PDK4, ERBB4, PIM2, and SYK might also serve as personalized therapeutic targets of IPF. Additional large-scale studies are warranted to develop personalized therapies for patients with IPF

    Short communication: epidemiological evidence that simian T-lymphotropic virus type 1 in Macaca fuscata has an alternative transmission route to maternal infection.

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    Serological inspection of Simian T-lymphotropic Virus Type 1 was conducted for a wild colony of Macaca fuscata, which was captured in the middle Honshu, Japan. The increase of positive rate after the juvenile stage with the positive rate reaching 100% (or 35/35) in youngster and adult stages, was observed. This finding suggests that, in contrast with human T-lymphotropic Virus Type 1, horizontal transmission play an important role in increasing prevalence of STLV-1 with age among M. fuscata

    Pulmonary aspergillosis as a late complication after surgery for locally advanced non-small cell lung cancer treated with induction chemoradiotherapy

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    Purpose Some long-term survivors after surgery for locally advanced non-small cell lung cancer (NSCLC) treated with induction chemoradiotherapy (trimodality treatment) develop chronic pulmonary aspergillosis (CPA). The aim of our study was to assess the characteristics and outcomes of CPA that develops after trimodality treatment. Methods We retrospectively reviewed the data of 187 NSCLC patients who underwent trimodality treatment between 1999 and 2018. Results Six male ever-smoker patients developed CPA. All 6 patients had undergone extended resection for NSCLC and had a history of either adjuvant chemotherapy (n = 3) or radiation pneumonitis (n = 4). Among the 4 patients with CPA localized in a single lung, 3 patients were treated surgically (completion pneumonectomy or cavernostomy) and 1 patient was treated with antifungal therapy alone. Both treatments led to the improved control of CPA. In contrast, patients with CPA in both lungs were not candidates for surgery, and died of CPA. The survival rates after trimodality treatment in the CPA group and the group without CPA were comparable (10-year survival rate, 50.0% vs. 57.6%, P = 0.59). Conclusion The early diagnosis of CPA localized in a single lung after NSCLC surgery is critical to improving control and survival in patients with CPA

    Detection of EGFR Gene Mutations Using the Wash Fluid of CT-Guided Biopsy Needle in NSCLC Patients

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    IntroductionIn this study, we examined whether epidermal growth factor receptor (EGFR) mutations were detectable using a polymerase chain reaction-based assay and wash fluid of computed tomography (CT)-guided lung biopsy needles.MethodsDNA was extracted from wash fluid of CT-guided biopsy needles of 53 lung tumors (as diagnosed according to the results of the CT-guided biopsies). EGFR mutations, specifically exon19 deletions and exon21 L858R mutations, were examined using a mutant-enriched polymerase chain reaction assay. We also examined the presence of EGFR mutations in 26 surgically resected tumor specimens and compared the results with those obtained for the corresponding wash fluid samples.ResultsThe amount of DNA obtained for the wash fluid of the CT-guided biopsy needles ranged from 35 to 2360 ng. There were no significant differences in the amount of extracted DNA according to the tumor characteristics, including tumor size and the percentage of ground glass opacity. Thirty-four of the 53 lung tumor samples were histologically diagnosed as non-small cell lung cancer (NSCLC). Exon19 deletions and exon21 L858R mutations in EGFR were detected in 4 (12%) and 13 (38%) of 34 NSCLC cases, respectively. No EGFR mutations were found in the non-NSCLC cases. The EGFR mutation status in the wash fluid samples was consistent with those obtained for all 26 corresponding surgical specimens.ConclusionOur results indicate that EGFR mutations can be detected using wash fluid of CT-guided biopsy needles. In this manner, the DNA genotype can be determined even in extremely small clinical specimens using highly sensitive assays
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