366 research outputs found

    BestConfig: Tapping the Performance Potential of Systems via Automatic Configuration Tuning

    Full text link
    An ever increasing number of configuration parameters are provided to system users. But many users have used one configuration setting across different workloads, leaving untapped the performance potential of systems. A good configuration setting can greatly improve the performance of a deployed system under certain workloads. But with tens or hundreds of parameters, it becomes a highly costly task to decide which configuration setting leads to the best performance. While such task requires the strong expertise in both the system and the application, users commonly lack such expertise. To help users tap the performance potential of systems, we present BestConfig, a system for automatically finding a best configuration setting within a resource limit for a deployed system under a given application workload. BestConfig is designed with an extensible architecture to automate the configuration tuning for general systems. To tune system configurations within a resource limit, we propose the divide-and-diverge sampling method and the recursive bound-and-search algorithm. BestConfig can improve the throughput of Tomcat by 75%, that of Cassandra by 63%, that of MySQL by 430%, and reduce the running time of Hive join job by about 50% and that of Spark join job by about 80%, solely by configuration adjustment

    The Researches on the Mobile E-Business Implements and Mode in Small and Medium-sized Enterprise

    Get PDF
    The ā€œmobile e-businessā€ is a business activity derived out by the concept of the ā€œe-businessā€, which can finish the specific commercial service function through mobile devices, such as cell-phone, PDA, etc, with the marketing purpose of achieving products and service. Mobile e-business is gradually known by kinds of enterprises, and successively put into practice among them. This paper sets out from analyzing the prospect of mobile e-business and current situation of small and medium-sized enterprise of our country, proposes the technology, implementation means, mode of the mobile e-business for the small and medium-sized enterprise, and compared with the application mode of the large-scale company with its one\u27s own characteristic

    Investigation of the shape transferability of nanoscale multi-tip diamond tools in the diamond turning of nanostructures

    Get PDF
    In this article, the shape transferability of using nanoscale multi-tip diamond tools in the diamond turning for scale-up manufacturing of nanostructures has been demonstrated. Atomistic multi-tip diamond tool models were built with different tool geometries in terms of the difference in the tip cross-sectional shape, tip angle, and the feature of tool tip configuration, to determine their effect on the applied forces and the machined nano-groove geometries. The quality of machined nanostructures was characterized by the thickness of the deformed layers and the dimensional accuracy achieved. Simulation results show that diamond turning using nanoscale multi-tip tools offers tremendous shape transferability in machining nanostructures. Both periodic and non-periodic nano-grooves with different cross-sectional shapes can be successfully fabricated using the multi-tip tools. A hypothesis of minimum designed ratio of tool tip distance to tip base width (L/Wf) of the nanoscale multi-tip diamond tool for the high precision machining of nanostructures was proposed based on the analytical study of the quality of the nanostructures fabricated using different types of the multi-tip tools. Nanometric cutting trials using nanoscale multi-tip diamond tools (different in L/Wf) fabricated by focused ion beam (FIB) were then conducted to verify the hypothesis. The investigations done in this work imply the potential of using the nanoscale multi-tip diamond tool for the deterministic fabrication of period and non-periodic nanostructures, which opens up the feasibility of using the process as a versatile manufacturing technique in nanotechnology

    Clinical analysis of rituximab for adult refractory primary membranous nephropathy

    Get PDF
    ObjectiveĀ·To evaluate clinical efficacy and safety of rituximab (RTX) in the patients with refractory primary membranous nephropathy (PMN).MethodsĀ·A retrospective analysis was carried out on the patients with refractory PMN, who had recurred or had not achieved clinical remission after more than 1 year of treatment with glucocorticoid and cyclosporine, cyclophosphamide or tacrolimus, admitted to the Department of Nephrology, Qingpu Branch of Zhongshan Hospital, Fudan University from July 2018 to April 2022. They received 2 doses of RTX. The single dose of RTX was 1 000 mg, and the interval between the two doses was 2 weeks. After 6 months, the numbers of peripheral blood B cells of the patients were detected. If the count of peripheral blood B cells were greater than 5 cell/ĀµL, another 1 000 mg RTX would be added. The main indicators were serum albumin, serum creatinine, urinary protein/creatinine ratio (UPCR), blood antibody against phospholipase A2 receptor (PLA2R) antibody, peripheral blood B cell count, and serum total IgG level. The clinical efficacy and safety of the treatment regimen were evaluated by observing the change of the main indicators of patients and adverse reactions.ResultsĀ·A total of 18 patients were included, with an average age of (58.17Ā±16.73) years, including 11 males. The total dose of RTX was (2 222.22Ā±485.07) mg, and the follow-up time after RTX treatment was (14.9Ā±4.9) months. At the last follow-up, the serum albumin level was significantly higher than that before RTX treatment [(36.50Ā±5.33) g/L vs (27.61Ā±8.59) g/L, P=0.009]; the serum creatinine level was stable (P>0.05); the value of UPCR decreased significantly [863.30 (203.20, 2 291.75) mg/g vs 2 954.00 (1 458.00, 7 260.75) mg/g, P=0.047]; the PLA2R antibody decreased significantly [(44.32Ā±33.71) RU/mL vs (168.40Ā±88.40) RU/mL, P=0.015]; the peripheral blood B cell count decreased significantly [(37.89Ā±12.43) cell/ĀµL vs (246.40Ā±239.98) cell/ĀµL, P=0.009]; the total blood IgG level was stable (P>0.05). After RTX treatment, 8 patients achieved complete remission (44.4%), 7 patients achieved partial remission (38.9%), and the overall effective rate was 83.3%; only 3 patients were unrelieved (16.7%). In terms of adverse reactions, 1 patient had transfusion allergy reaction, and 1 patient had pulmonary infection.ConclusionĀ·For the patients with refractory PMN who have relapse or do not relieve after traditional immunosuppressive therapy, RTX treatment can effectively induce clinically complete remission or partial remission with good safety

    FOXD1 Promotes Cell Growth and Metastasis by Activation of Vimentin in NSCLC

    Get PDF
    Background/Aims: Forkhead box D1 (FOXD1) has a well-established role in early embryonic development and organogenesis and functions as an oncogene in several cancers. However, the clinical significance and biological roles of FOXD1 in non-small cell lung cancer (NSCLC) remain largely unknown. Methods: A total of 264 primary NSCLC tissue samples were collected. The expression levels of FOXD1 in these samples were examined by immunohistochemical staining. The expression of FOXD1 was knocked down by lentiviral shRNA. The relative expression of FOXD1 was determined by qRT-PCR, Western blotting and immunofluorescence image. The functional roles of FOXD1 in NSCLC were demonstrated cell viability CCK-8 assay, colony formation, cell invasion and migration assays, and cell apoptosis assay in vitro. In vivo mouse xenograft and metastasis models were used to assess tumorigenicity and metastatic ability. The Chi-square test was used to assess the correlation between FOXD1 expression and the clinicopathological characteristics. Survival curves were estimated by Kaplan-Meier method and compared using the log-rank test. The Cox proportional hazards model was used for univariate and multivariate analyses. Results: We determined that higher levels of FOXD1 were present in NSCLC tissues, especially in metastatic NSCLC tissues. FOXD1 was also higher in all NSCLC cells compared with normal human bronchial epithelial cells. A higher expression level of FOXD1 was associated with malignant behavior and poor prognosis in NSCLC patients. Knockdown of FOXD1 significantly inhibited proliferation, migration, and invasion in vitro and tumor growth and metastasis in vivo, and it increased the apoptosis rates of NSCLC cells. Mechanistic analyses revealed that FOXD1 expressed its oncogenic characteristics through activating Vimentin in NSCLC. Multivariate Cox regression analysis indicated that FOXD1 was an independent prognostic factor both for overall survival (OS) and disease-free survival (DFS) in NSCLC patients. Conclusion: Our results indicated that FOXD1 might be involved in the development and progression of NSCLC as an oncogene, and thereby might be a potential therapeutic target for NSCLC patients

    Prediction of in-flight particle properties and mechanical performances of HVOF-sprayed NiCr-Cr3C2 coatings based on a hierarchical neural network

    Get PDF
    High-velocity oxygen fuel (HVOF) spraying is a promising technique for depositing protective coatings. The performances of HVOF-sprayed coatings are affected by in-flight particle properties, such as temperature and velocity, that are controlled by the spraying parameters. However, obtaining the desired coatings through experimental methods alone is challenging, owing to the complex physical and chemical processes involved in the HVOF approach. Compared with traditional experimental methods, a novel method for optimizing and predicting coating performance is presented herein; this method involves combining machine learning techniques with thermal spray technology. Herein, we firstly introduce physics-informed neural networks (PINNs) and convolutional neural networks (CNNs) to address the overfitting problem in small-sample algorithms and then apply the algorithms to HVOF processes and HVOF-sprayed coatings. We proposed the PINN and CNN hierarchical neural network to establish prediction models for the in-flight particle properties and performances of NiCr-Cr3C2 coatings (e.g., porosity, microhardness, and wear rate). Additionally, a random forest model is used to evaluate the relative importance of the effect of the spraying parameters on the properties of in-flight particles and coating performance. We find that the particle temperature and velocity as well as the coating performances (porosity, wear resistance, and microhardness) can be predicted with up to 99% accuracy and that the spraying distance and velocity of in-flight particles exert the most substantial effects on the in-flight particle properties and coating performance, respectively. This study can serve as a theoretical reference for the development of intelligent HVOF systems in the future.Natural Science Foundation of Jiangsu Higher Education Institution of ChinaKey Laboratory of Green Fabrication and Surface Technology of Advanced Metal MaterialsHumboldt Fellowshi

    Effect of Flammulina velutipes polysaccharides on the physicochemical properties of catfish surimi and myofibrillar protein oxidation during frozen storage

    Get PDF
    This study investigated the effect of Flammulina velutipes polysaccharides (FVPs) on the myofibrillar protein (MP) oxidation protein and physicochemical properties of catfish surimi during 75 days of frozen storage at āˆ’18Ā°C. FVP was added to surimi at 1%, 1.5%, and 2%, respectively; the degree of MP oxidation and the physicochemical properties of the surimi were investigated, and the microstructure of the surimi was observed by scanning electron microscopy (SEM). The results showed that the carbonyl content and the thiobarbituric acid reactive substances (TBARS) in the FVP groups were lower than those in the CK group (the blank surimi). In comparison, the total sulfhydryl content, solubility, and Ca2+-ATPase activity were higher than those in the CK group after 75 days of storage. The addition of FVP significantly increased the water-holding capacity (WHC), gel strength, elastic modulus (G'), and loss modulus (Gā€œ) of surimi, and made the gel of surimi have stronger continuity and a denser structure. Therefore, FVP has a better cryoprotective effect on surimi. It improves the quality of surimi, decreases MP oxidation, and reduces lipid and water loss during frozen storage. The anti-freezing effect of FVP added at 2% was similar to that of commercial protectants (4% sucrose and 4% sorbitol)
    • ā€¦
    corecore