578 research outputs found
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
Soybean stem canker (Diaporthe phaseolorum var. caulivora) in Brazil.
No full textWSRC 2009. Editado por Lijuan Qiu, Rongxia Guan, Jian Jin, Qijan Song, Shuntang Guo, Wenbin Li, Yuanchao Wang, Tianfu Han, Xiaobing Liu, Deyue Yu, Lianzhou Jiang, Deliang Peng
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 [...
Phytophthora root and stem rot (Phytophthora sojae) of soybean in Brazil.
No full textWSRC 2009. Editado por Lijuan Qiu, Rongxia Guan, Jian Jin, Qijan Song, Shuntang Guo, Wenbin Li, Yuanchao Wang, Tianfu Han, Xiaobing Liu, Deyue Yu, Lianzhou Jiang, Deliang Peng
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
Get PDFThis 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)
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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
The Conservative Treatment of a Rare Postoperative Complication of DBS—Brain Abscess: Case Series
No full textGuanghan Lu,* Jingxuan Liu,* Xiang Wei, Jiuqi Yan, Jian Sun, Wenwen Dong, Liang Zhao, Chang Qiu, Bei Luo, Wenbin Zhang Department of Functional Neurosurgery, Nanjing Brain Hospital, Nanjing, Jiang Su, People’s Republic of China*These authors contributed equally to this workCorrespondence: Wenbin Zhang, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, People’s Republic of China, Email [email protected]: Deep Brain Stimulation (DBS) is an established treatment option for movement disorders such as Parkinson’s disease and dystonia, so more and more patients (over 160,000 patients till 2019) worldwide have undergone DBS for a variety of neurological and non-neurological conditions, with numbers increasing each year. This case series primarily discusses a very rare complication following DBS surgery —— brain abscess.Case Presentation: We administered vancomycin and metronidazole to patients who developed brain abscesses after undergoing DBS surgery based on previous literature. After treatment, the abscess lesions and infection symptoms completely resolved, resulting in a good therapeutic outcome without the removal of the DBS system.Conclusion: In previous studies, similar cases always involved surgical intervention to drain the pus while also removing the DBS system; however, in our cases, the patient did not have the DBS system removed and achieved a good prognosis. To our knowledge, our two cases are among the few where a conservative treatment approach has been used for brain abscesses after DBS surgery.Keywords: DBS, brain abscess, STN, GPI, dyskinesi
Decentralized/distributed failure diagnosis and supervisory control of discrete event systems
Get PDFDiscrete event systems (DESs) are event-driven systems, which change their discrete states upon asynchronous occurrence of certain events. This dissertation addresses decentralized/distributed failure diagnosis and supervisory control of DESs.;In a decentralized diagnosis architecture, a local diagnoser performs failure diagnosis completely based on its own observations without communicating with others. A notion of codiagnosability is introduced to capture the property that a system should satisfy such that its failure behaviors are diagnosable by one of the local diagnosers within a bounded delay of their occurrences. Algorithms with polynomial complexity in the size of system/specification models are presented for verifying codiagnosability, computing diagnosis delay bound, synthesizing local diagnosers, and online diagnosis using them. Further diagnosis properties are investigated through the introduction of strong-(co)diagnosability and safe-codiagnosability.;In a distributed diagnosis architecture, local diagnosers exchange their individual observation with each other to perform failure diagnosis collaboratively. Finite automata models are constructed to capture communication delays, and the system/specification/sensing models are augmented with respect to the communication delay models. Via those augmented models, a distributed diagnosis problem is converted to a decentralized diagnosis problem. This allows distributed diagnosis analysis to be performed in same as decentralized diagnosis analysis. Also, in the unbounded delay case decidability of the problem is established.;For supervisory control of DESs, prioritized synchronous composition (PSC) based decentralized control and nondeterministic decentralized control are introduced. A PSC based decision fusion rule is more general than the conventional conjunctive/disjunctive decision fusion rule since it has control-authority besides control-capability. Algorithms are presented for existence and synthesis of PSC based supervisors. Computational complexity of the former is polynomial in the size of both system and specification models, while complexity of the latter is polynomial in the size of systems model, and exponential in the size of specification model. By using nondeterministic supervisors, a weaker condition than the condition of controllability together with co-observability is obtained for decentralized control. Algorithms of polynomial complexity are presented for both existence and synthesis of nondeterministic supervisors in target control and range control problems.</p
Research and Analysis of Cooling System for Diesel Locomotive
Get PDFWith the continuous development of diesel locomotives in the direction of single power, the heat dissipation ofthe locomotive cooling system is getting bigger and bigger, and its performance directly affects the economy andreliability of the locomotive. Due to the limitation of locomotive axle load and structural space size, there is a greattechnical problem between the cooling system design and the arrangement of the cooling device and the overalllayout of the locomotive. The increase in the number of radiators, making the number of cooling system processesare correspondingly increased, resulting in locomotive cooling system water resistance and water system pressure aregreatly improved. The traditional cooling system form and the radiator structure are diffi cult to meet the developmentrequirements of high power locomotive. Based on the conventional cooling system design method, a multi-processradiator is proposed. The multi-process cooling system has the advantages of high cooling effi ciency, simple structure,small auxiliary power consumption of the pump and high reliability of the cooling system components. In this paper,the cooling system and its function, the existing cooling technology and the multi-process radiator are studied andanalyzed, and the three-process radiator and the single-process radiator are tested and compared. In this paper, a newmulti-process radiator structure scheme is proposed for the design requirements of CKD9 diesel locomotive coolingsystem. The program eff ectively uses the radiator cooling water and cooling air temperature diff erence, to achieve thepurpose of increasing heat dissipation
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