1,707 research outputs found
Continental accretion and intra-continental deformation of the Central Asian Orogenic Belt
No full textBranch-and-price-and-cut for the synchronized vehicle routing problem with split delivery, proportional service time and multiple time windows
No full textThis study addresses a vehicle routing problem (VRP) in which demands are discrete, split delivery
is allowed, service time is proportional to the units of delivered products, multiple time
windows are provided and the demand of each customer must be delivered in only one time
window (this requirement is termed synchronization constraint). We formulate this problem into
a three-index vehicle-flow model and a set-covering model. Then, we propose a branch-andprice-
and-cut algorithm to solve the problem. We compare our branch-and-price-and-cut algorithm
with CPLEX based on 252 randomly generated instances and the computational results
demonstrate the effectiveness of our algorithm
Biosurfactant slows down n-hexadecane biodegradation: 13C-labeled rhamnolipid tracing
No full texthttp://dx.doi.org/10.13039/501100011171 State Key Laboratory of Geohazard Prevention and Geoenvironment Protectionhttp://dx.doi.org/10.13039/501100016107 Tibet Science and Technology Departmenthttp://dx.doi.org/10.13039/501100006385 Chengdu University of Technolog
Correction: Li et al. Optimizing Soil Health and Sorghum Productivity through Crop Rotation with Quinoa. <i>Life</i> 2024, <i>14</i>, 745
No full textThe author Wenbin Bai has been changed to the second corresponding author [...
sj-docx-1-cpj-10.1177_00099228231219336 – Supplemental material for Newborn Screening of 6 Lysosomal Storage Disorders by Tandem Mass Spectrometry
No full textSupplemental material, sj-docx-1-cpj-10.1177_00099228231219336 for Newborn Screening of 6 Lysosomal Storage Disorders by Tandem Mass Spectrometry by Yao Chen, Yan Yang, Yinglin Zeng, Qingying Lin, Peiran Zhao, Bin Mao, Xiaolong Qiu, Ting Huang, Liangpu Xu and Wenbin Zhu in Clinical Pediatrics</p
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)
No full textFollowing 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
Full text linkThis 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
WAN-THESIS-2020.pdf: 532458 bytes, checksum: 6549b50f3b2b114edcdb5f284c830947 (MD5)
LICENSE.txt: 4207 bytes, checksum: 6537fd658a9ddb127e353fdd48de5085 (MD5)
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
Cortical and subcortical contributions to predicting intelligence using 3D ConvNets
No full textWe present a novel framework using 3D convolutional neural networks to predict residualized fluid intelligence scores in the MICCAI 2019 Adolescent Brain Cognitive Development Neurocognitive Prediction Challenge datasets. Using gray matter segmentations from T1-weighted MRI volumes as inputs, our framework identified several cortical and subcortical brain regions where the predicted errors were lower than random guessing in the validation set (mean squared error = 71.5252), and our final outcomes (mean squared error = 70.5787 in the validation set, 92.7407 in the test set) were comprised of the median scores predicted from these regions
Differential Glycemic Effects of Low-versus High-Glycemic Index Mediterranean-Style Eating Patterns in Adults at Risk for Type 2 Diabetes: The MEDGI-Carb Randomized Controlled Trial
Full text linkA Mediterranean-style healthy eating pattern (MED-HEP) supports metabolic health, but the utility of including low-glycemic index (GI) foods to minimize postprandial glucose excursions remain unclear. Therefore, we investigated the relative contribution of GI towards improvements in postprandial glycemia and glycemic variability after adopting a MED-HEP. We conducted a randomized, controlled dietary intervention, comparing high-versus low-GI diets in a multi-national (Italy, Sweden, and the United States) sample of adults at risk for type 2 diabetes. For 12 weeks, participants consumed either a low-GI or high-GI MED-HEP. We assessed postprandial plasma glucose and insulin responses to high-or low-GI meals, and daily glycemic variability via continuous glucose monitoring at baseline and post-intervention. One hundred sixty adults (86 females, 74 males; aged 55 \ub1 11 y, BMI 31 \ub1 3 kg/m2, mean \ub1 SD) with ≥two metabolic syndrome traits completed the intervention. Postprandial insulin concentrations were greater after the high-GI versus the low-GI test meals at baseline (p = 0.004), but not post-intervention (p = 0.17). Postprandial glucose after the high-GI test meal increased post-intervention, being significantly higher than that after the low-GI test meal (35%, p < 0.001). Average daily glucose concentrations decreased in both groups post-intervention. Indices of 24-h glycemic variability were reduced in the low-GI group as compared to baseline and the high-GI intervention group. These findings suggest that low-GI foods may be an important feature within a MED-HEP
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