30,609 research outputs found
Robust H∞ control for networked control systems with uncertainties and multiple-packet transmission
No full textA class of networked control systems is investigated where the plant has time-varying norm-bounded parameter uncertainties, both the sensor-to-controller and controller to-actuator channels implement multiple-packet transmission and experience random packet dropouts. Sufficient conditions for synthesis of robust stochastic stabilisation and design of robust H∞ controller are derived in the form of linear matrix inequalities. An example is provided to demonstrate the effectiveness of our proposed method
Adaptive Bayesian Space-Time Equalisation for Multiple Receive-Antenna Assisted Single-Input Multiple-Output Systems
No full textThis contribution considers nonlinear space–time equalisation (STE) for multiple receive-antenna induced single-input multipleoutput (SIMO) systems. By exploiting the inherent symmetry of the underlying optimal Bayesian STE solution, a novel symmetric radial basis function (RBF) based STE scheme is proposed, which is capable of approaching the optimal Bayesian equalisation performance. Adaptive implementation of this symmetric RBF (SRBF) based STE can be achieved conveniently by estimating the SIMO channels using the least mean square channel estimator and computing the optimal RBF centres from the resulting SIMO channel matrix estimate. Simulation results also demonstrate that the performance of this SRBF based STE is robust with respect to the choice of the RBF variance value. The proposed adaptive solution is then extended to the space–time decision feedback equalisation (ST-DFE) structure
Fully Turbulent Mean Velocity Profile for Purely Viscous non-Newtonian Fluids
No full textThe characteristic near wall behavior of turbulent flow of purely-viscous non-Newtonian fluids is discussed for both power-law (P.-L.) and Herschel-Bulkley (H.-B.) rheological models. A proper scaling is presented for H.-B. fluids to establish an analogy with power-law fluids with same flow index. To provide reference data for turbulent flow of non-Newtonian fluids, DNS simulations of power-law fluids are conducted in a rectangular channel for a large range of power-law indices ( = 0.5, 0.69, 0.75, 0.9, 1, 1.2). The DNS data show that the mean velocity profile in the viscous and logarithmic layers follow expressions of the form and respectively, where shows a logarithmic dependency on the flow index.Comparison with some experimental data shows the above formulation to be valid for Reynolds numbers (based on shear velocity) as high as 1000
FIGURE 4 in Loropetalum axillare (Hamamelidaceae), a new species from Guangdong, China
No full textFIGURE 4. Loropetalum axillare in the wild (Dafengmen Scenic Area, Zengcheng District, Guangzhou, Guangdong). A. Habitat. B. Habitat. C–H. Synflorescence. I–J. Capsules. A–J: All photos by You-Sheng Chen based on Y. S. Chen, Y. C. Xu et Y. P. Zeng 22241 (IBSC).Published as part of <i>Jin, Zi-Chao, Xu, Lian-Sheng, Xu, Ye-Chun & Chen, You-Sheng, 2023, Loropetalum axillare (Hamamelidaceae), a new species from Guangdong, China, pp. 85-94 in Phytotaxa 622 (1)</i> on page 90, DOI: 10.11646/phytotaxa.622.1.6, <a href="http://zenodo.org/record/10145035">http://zenodo.org/record/10145035</a>
A Novel and Validated Inflammation-Based Prognosis Score (IBPS) Predicts Outcomes in Patients with Diffuse Large B-Cell Lymphoma [Corrigendum]
No full textLiu Y, Sheng L, Hua H, Zhou J, Zhao Y, Wang B. Cancer Manag Res. 2023;15:651–666.
The authors have advised Table 2 on pages 654-656, is incorrect. The correct Table 2 is as follows.
Table 2 Baseline characteristics of patients
Page 663, Figure 6 caption, the text “(D) OS of BCL2 ≥50%; (E) OS of MYC ≥40%” should read “(D) OS of MYC ≥40%; (E) OS of BCL2 ≥50%”.
The authors apologize for these errors and advise they do not affect the results of the paper
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