857 research outputs found
Correction: Li et al. Optimizing Soil Health and Sorghum Productivity through Crop Rotation with Quinoa. <i>Life</i> 2024, <i>14</i>, 745
The author Wenbin Bai has been changed to the second corresponding author [...
Erratum: Immune landscape in Burkitt lymphoma reveals M2-macrophage polarization and correlation between PD-L1 expression and non-canonical EBV latency program (Infect Agents Cancer (2020) 15: 28 DOI: 10.1186/s13027-020-00292-w)
Following publication of the original article [1], the authors identified an error in the author name of Wenbin Wei The incorrect author name is: Wenbin Wi The correct author name is: Wenbin Wei The author group has been updated above and the original article [1] has been corrected
Unknown input and state estimation for linear discrete-time stochastic systems in the presence of constraints
This thesis presents an unknown input and state estimation algorithm for linear discrete-time stochastic systems with inequality constraints on the inputs and states. The proposed algorithm consists of optimal Bayesian estimation and information aggregation. The optimal estimation provides minimum-variance unbiased (MVU) estimates, and then they are projected onto the constrained space in the information aggregation step. It is shown that the estimation errors and their covariances from the proposed algorithm are strictly less than those from the unconstrained algorithm when projected. Moreover, the expected state estimation errors of the proposed estimation algorithm are proved to be practically exponentially stable.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-08-01The student, Wenbin Wan, accepted the attached license on 2020-05-11 at 10:50.The student, Wenbin Wan, submitted this Thesis for approval on 2020-05-11 at 10:53.This Thesis was approved for publication on 2020-05-13 at 07:35.DSpace SAF Submission Ingestion Package generated from Vireo submission #15308 on 2020-10-02 at 15:30:37Made available in DSpace on 2020-10-07T22:07:09Z (GMT). No. of bitstreams: 2
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Previous issue date: 2020-05-13Embargo set by: Seth Robbins for item 116182
Lift date: 2022-10-07T22:07:19Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 116182
Lift date: 2022-10-07T22:44:53Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemAuthor requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Onl
Assessing estimates of evaporative demand in climate models using observed pan evaporation over China
Here we assess estimates of atmospheric evaporative demand over China in 12 state-of-the-art global climate models (GCMs) against observed D20 pan evaporation (E-pan) over the period of 1961-2000. To do that, we use an energy-relevant and physical-based approach, namely, PenPan model, to comprehensively evaluate GCM performance with respect to their ability to simulate annual, seasonal, and monthly statistics of E-pan (and its radiative and aerodynamic components, E-p,E-R and E-p,E-A). The results indicated that most GCMs generally captured the spatial pattern and seasonal cycle of E-pan, E-p,E-R, and E-p,E-A. However, regional means of annual and monthly E-pan, E-p,E-R, and E-p,E-A were underestimated by most GCMs mainly due to negatively biased surface air temperature (T-a) and vapor pressure deficit (vpd) outputted/simulated by the GCMs. Overall, the discrepancies among GCMs in estimating the regional statistics (regional means and seasonal cycles) of E-p,E-A were relatively larger than that of E-p,E-R, which indicates considerable uncertainties in the calculation of the aerodynamic component of evaporation based on the GCM outputs. Moreover, a few GCMs captured negative trends of regional mean annual and seasonal E-pan, E-p,E-R, and E-p,E-A well over the period of 1961- 2000, but most showed positive trends. The underestimation of net radiation (R-n) and overestimation of wind speed at 2m (u(2)) in most GCMs may, to some extent, accentuate/compensate the negative biases in GCM-estimated annual and seasonal E-pan, E-p,E-R, and E-p,E-A. The results demonstrate the importance of incorporating observation of pan evaporation and well-validated PenPan model to evaluate GCM performance on atmospheric evaporative demand that is relevant to projections of future drought and regional water-energy budgets
Study on quantitative detection technology of special position defects in heat transfer tubes of nuclear power plants
River continuum characteristics of Xiangxi River.
The density of epilithic algae and concentration of chlorophyll a, Shannon-Wiener index and primary productivity were chosen to study the river continuum characteristics of Xiangxi River. The results showed that in general, the algal density, chlorophyll a concentration and Shannon-Wiener index tended to be increased with increasing stream order, but this trend was not very evident in the first three orders and even reversed. The primary productivity was also higher in the higher than that in the lower stream orders, and reached the maximum in the fourth order, then decreased slightly. The ratio of gross primary productivity to community respiration was the highest in the first stream orders, which means autochthonous productivity was dominant in the river. The results did not absolutely tally with the RCC forecast, therefore, we can conclude that Xiangxi River had been undergone anthropogenic influence
Alkali-catalyzed liquefaction of pinewood sawdust in ethanol/water co-solvents
In this study, pinewood sawdust was liquefied in either ethanol/water co-solvents (50/50, wt./wt.) or pure water at 300 °C for 30 min and 10 wt% of feedstock loading, with or without the use of Na2CO3 or NaOH as a catalyst. The physical and chemical properties of liquefaction products (bio-crude oil and solid residue) were comprehensively characterized by FT-IR, GC-MS, elemental, GPC and TGA analyses. The results showed that the highest biomass conversion of approx. 98% was obtained in ethanol/water mixed solvents and without catalyst, along with a maximum yield of bio-crude oil (~48 wt%). The HHV of crude oil was within the range of 26–30 MJ/kg. The results indicated that the beneficial effect of ethanol on the bio-crude oil yield might be compromised by adding Na2CO3 or NaOH into the liquefaction system under investigated reaction conditions. As suggested by GPC analysis, the bio-crude oil obtained in ethanol/water co-solvents from both non-catalytic and catalytic liquefaction contained a slightly higher molecular weight than that obtained in pure water. Additionally, TGA results indicated that the boiling point distribution of bio-crude oil was only affected by ethanol addition, whereas, the effect of the catalyst was found to be minor.Natural Sciences and Engineering Research Council (NSERC)MITACSGreenfield Global In
On injectors of Finite Soluble Groups
Guo, W. On injectors of Finite Soluble Groups / Wenbin Guo, N. T. Vorob’ev // Communications in Algebra. – 2008. – Vol. 36, № 9. – P. 3200–3208.In this article, we give the description of the f)-injectors of a finite soluble group, for a Hartley class f).The authors are grateful for the helpful suggestions of the referee. Research of the first author is supported by a NNSF grant of China(#10771180)
Research and application of an intelligent control system in central air-conditioning based on energy consumption simulation
Preliminary study on detection technology of the cladding weld of spent fuel storage pool
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