85 results on '"Shan Ba"'
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2. Toward Optimal Variance Reduction in Online Controlled Experiments.
- Author
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Ying Jin and Shan Ba
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- 2023
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3. Online Experimentation with Surrogate Metrics: Guidelines and a Case Study.
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Weitao Duan, Shan Ba, and Chunzhe Zhang
- Published
- 2021
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4. Three-Dimensional Morphology and Configuration Analyses of the Craniovertebral Junction in Children with Hemifacial Microsomia
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Xu, Xi, Chen, Xin, Zhao, Shan-ba-ga, Jin, Jing-Lu, Tang, Xiao-Jun, Yin, Lin, Liu, Wei, Li, Chuan, Feng, Shi, and Zhang, Zhi-Yong
- Published
- 2022
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- View/download PDF
5. Space-Filling Designs for Robustness Experiments.
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V. Roshan Joseph, Li Gu, Shan Ba, and William R. Myers
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- 2019
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6. Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems.
- Author
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Hao Yan, Nurrettin Dorukhan Sergin, William A. Brenneman, Stephen Joseph Lange, and Shan Ba
- Published
- 2021
7. A Bayesian simulation approach for supply chain synchronization.
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Bianica Pires, Joshua Goldstein, Dave Higdon, Paul Sabin, Gizem Korkmaz, Stephanie Shipp, Sallie Keller, Shan Ba, Ken Hamall, Art Koehler, and Shane Reese
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- 2017
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8. Model Calibration With Censored Data.
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Fang Cao, Shan Ba, William A. Brenneman, and V. Roshan Joseph
- Published
- 2018
- Full Text
- View/download PDF
9. Toward Optimal Variance Reduction in Online Controlled Experiments
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Ying Jin and Shan Ba
- Subjects
Statistics and Probability ,Applied Mathematics ,Modeling and Simulation - Published
- 2022
10. Optimal Sliced Latin Hypercube Designs.
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Shan Ba, William R. Myers, and William A. Brenneman
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- 2015
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11. Morphologic Changes of the Temporomandibular Joint in Pruzansky-Kaban Type IIa Hemifacial Microsomia Postmandibular Distraction Osteogenesis
- Author
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Shu, kai-yi, primary, Liu, Wei, additional, Zhao, Jiu-li, additional, Zhang, Zhi-yong, additional, Li, Xi-yuan, additional, Shan, Ba-ga, additional, Ma, Lun-Kun, additional, and Liang, Ying-xiang, additional
- Published
- 2022
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12. Robust experimental designs for model calibration
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Arvind Krishna, V. Roshan Joseph, William A. Brenneman, Shan Ba, and William R. Myers
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FOS: Computer and information sciences ,021103 operations research ,Computer science ,Calibration (statistics) ,Physical constant ,Strategy and Management ,Design of experiments ,Astrophysics::Instrumentation and Methods for Astrophysics ,0211 other engineering and technologies ,02 engineering and technology ,Management Science and Operations Research ,Computer experiment ,Statistics - Applications ,01 natural sciences ,Industrial and Manufacturing Engineering ,Methodology (stat.ME) ,010104 statistics & probability ,Applications (stat.AP) ,0101 mathematics ,Uncertainty quantification ,Safety, Risk, Reliability and Quality ,Algorithm ,Statistics - Methodology ,Computer Science::Databases ,Bayesian calibration - Abstract
A computer model can be used for predicting an output only after specifying the values of some unknown physical constants known as calibration parameters. The unknown calibration parameters can be estimated from real data by conducting physical experiments. This paper presents an approach to optimally design such a physical experiment. The problem of optimally designing physical experiment, using a computer model, is similar to the problem of finding optimal design for fitting nonlinear models. However, the problem is more challenging than the existing work on nonlinear optimal design because of the possibility of model discrepancy, that is, the computer model may not be an accurate representation of the true underlying model. Therefore, we propose an optimal design approach that is robust to potential model discrepancies. We show that our designs are better than the commonly used physical experimental designs that do not make use of the information contained in the computer model and other nonlinear optimal designs that ignore potential model discrepancies. We illustrate our approach using a toy example and a real example from industry., 25 pages, 10 figures
- Published
- 2021
13. Automatic Detection and Recognition of Athlete Actions in Diving Video.
- Author
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Haojie Li, Si Wu, Shan Ba, Shouxun Lin, and Yongdong Zhang 0001
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- 2007
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14. Visual Features Extraction Through Spatiotemporal Slice Analysis.
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Xuefeng Pan, Jintao Li 0001, Shan Ba, Yongdong Zhang 0001, and Sheng Tang
- Published
- 2007
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15. Cluster-based data filtering for manufacturing big data systems
- Author
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William A. Brenneman, William R. Myers, Yifu Li, Ran Jin, Ron Zink, Steve J. Lange, Shan Ba, and Xinwei Deng
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Computer science ,Strategy and Management ,media_common.quotation_subject ,Big data ,0211 other engineering and technologies ,02 engineering and technology ,Management Science and Operations Research ,computer.software_genre ,01 natural sciences ,Industrial and Manufacturing Engineering ,010104 statistics & probability ,Data filtering ,Quality (business) ,Product (category theory) ,0101 mathematics ,Safety, Risk, Reliability and Quality ,Smart manufacturing ,media_common ,021103 operations research ,Database ,business.industry ,Manufacturing systems ,Data quality ,business ,computer ,Cluster based - Abstract
A manufacturing system collects big and heterogeneous data for tasks such as product quality modeling and data-driven decision-making. However, as the size of data grows, timely and effective data utilization becomes challenging. We propose an unsupervised data filtering method to reduce manufacturing big data sets with multi-variate continuous variables into informative small data sets. Furthermore, to determine the appropriate proportion of data to be filtered, we propose a filtering information criterion (FIC) to balance the tradeoff between the filtered data size and the information preserved. The case study of a babycare manufacturing and a simulation study have shown the effectiveness of the proposed method.
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- 2021
16. Three-Dimensional Measurement of the Temporomandibular Joint in Pruzansky-Kaban Type IIa Hemifacial Microsomia
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Shu, Kai-Yi, primary, Liu, Wei, additional, Zhao, Jiu-Li, additional, Zhang, Zhi-Yong, additional, Xu, Xi, additional, Shan, Ba-Ga, additional, and Tang, Xiao-Jun, additional
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- 2022
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17. Three-Dimensional Morphology and Configuration Analyses of the Craniovertebral Junction in Children with Hemifacial Microsomia
- Author
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Xi Xu, Xin Chen, Shan-ba-ga Zhao, Jing-Lu Jin, Xiao-Jun Tang, Lin Yin, Wei Liu, Chuan Li, Shi Feng, and Zhi-Yong Zhang
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Male ,Goldenhar Syndrome ,Atlanto-Axial Joint ,Occipital Bone ,Cervical Vertebrae ,Joint Dislocations ,Humans ,Orthopedics and Sports Medicine ,Female ,Spinal Diseases ,Neurology (clinical) ,Child - Abstract
Observational and morphological study with three-dimensional (3D) computed tomography (CT) analysis.To discover the morphology and configuration deformities of craniovertebral junction (CVJ) and upper cervical spine in children with unilateral hemifacial microsomia (HFM). To determine whether there are specific HFM patients who are at higher risk of certain cervical vertebral anomaly.The evaluation for cervical vertebrae anomaly in HFM children, especially in CVJ region, is underreported.Eighty-eight unilateral HFM children (64 males, 24 females) with four Pruzansky-Kaban types (I, Ila, Ilb, and III) underwent cranial and cervical CT scanning from skull to C5 in neutral position. The 3D morphology and configuration of the occipital condyle, atlas, and axis, etc. were evaluated on the presence of deformed detailed structures of CVJ region.No C1 deformation was found in type I group. Six (14.3%) type Ila cases, seven (33.3%) type IIb cases, and six (37.5%) type Ill cases had lateral masses asymmetry of C1 (P 0.05). Five (55.6%) type I cases, 17 (40.5%) type Ila cases, 12 (57.1%) type Ilb cases, and 10 (62.5%) type Ill cases had C2 anomaly (P 0.05). The incidence rate of C1-C2 instability for four groups were 33.3% (type I), 33.3% (type IIa), 33.3% (type IIb), and 31.3% (type Ill), respectively (P 0.05).For HFM children, the incidence of C1 deformation increased from type I to type Ill. The probability of C2 anomaly and C1-C2 instability in children with different types of HFM is nearly the same. The craniovertebral junction of every HFM child must be monitored carefully for C1-C2 instability before any surgical procedure to avoid atlantoaxial dislocation and spinal cord injury.Level of Evidence: N/A.
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- 2022
18. Morphologic Changes of the Temporomandibular Joint in Pruzansky-Kaban Type IIa Hemifacial Microsomia Postmandibular Distraction Osteogenesis.
- Author
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Shu, kai-yi, Liu, Wei, Zhao, Jiu-li, Zhang, Zhi-yong, Li, Xi-yuan, Shan, Ba-ga, Ma, Lun-Kun, and Liang, Ying-xiang
- Published
- 2023
- Full Text
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19. Three-Dimensional Measurement of the Temporomandibular Joint in Pruzansky-Kaban Type IIa Hemifacial Microsomia.
- Author
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Shu, Kai-Yi, Liu, Wei, Zhao, Jiu-Li, Zhang, Zhi-Yong, Xu, Xi, Shan, Ba-Ga, and Tang, Xiao-Jun
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- 2023
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20. Designing computer experiments with multiple types of factors: The MaxPro approach
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V. Roshan Joseph, Shan Ba, and Evren Gul
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021103 operations research ,Computer science ,business.industry ,Strategy and Management ,0211 other engineering and technologies ,02 engineering and technology ,Management Science and Operations Research ,Computer experiment ,Machine learning ,computer.software_genre ,01 natural sciences ,Industrial and Manufacturing Engineering ,010104 statistics & probability ,Artificial intelligence ,0101 mathematics ,Safety, Risk, Reliability and Quality ,business ,computer - Abstract
Computer experiments may involve not only continuous input factors but also nominal factors, discrete numeric factors, and ordinal factors. Most existing literature in designing computer experiment...
- Published
- 2019
21. Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems
- Author
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William A. Brenneman, Hao Yan, Stephen Joseph Lange, Shan Ba, and Nurrettin Dorukhan Sergin
- Subjects
FOS: Computer and information sciences ,Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Computer science ,Process (engineering) ,Strategy and Management ,media_common.quotation_subject ,0211 other engineering and technologies ,Multi-task learning ,02 engineering and technology ,Management Science and Operations Research ,Statistics - Applications ,01 natural sciences ,Industrial and Manufacturing Engineering ,Machine Learning (cs.LG) ,010104 statistics & probability ,Quality (business) ,Applications (stat.AP) ,0101 mathematics ,Safety, Risk, Reliability and Quality ,media_common ,021103 operations research ,Manufacturing systems ,Industrial engineering ,Variable (computer science) ,Artificial Intelligence (cs.AI) - Abstract
In multistage manufacturing systems, modeling multiple quality indices based on the process sensing variables is important. However, the classic modeling technique predicts each quality variable one at a time, which fails to consider the correlation within or between stages. We propose a deep multistage multi-task learning framework to jointly predict all output sensing variables in a unified end-to-end learning framework according to the sequential system architecture in the MMS. Our numerical studies and real case study have shown that the new model has a superior performance compared to many benchmark methods as well as great interpretability through developed variable selection techniques., Comment: Accepted by Journal of Quality Technology
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- 2021
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22. A Method and System for Program Management of Security Chip Production
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Yuhua, Lu, primary, Wenqiang, Wang, additional, Zhenjiang, Pang, additional, Yan, Li, additional, Binbin, Xue, additional, and Shan, Ba, additional
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- 2021
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23. Space-Filling Designs for Robustness Experiments
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Shan Ba, V. Roshan Joseph, Li Gu, and William R. Myers
- Subjects
FOS: Computer and information sciences ,Statistics and Probability ,Optimal design ,021103 operations research ,Computer science ,Applied Mathematics ,0211 other engineering and technologies ,02 engineering and technology ,Computer experiment ,01 natural sciences ,Methodology (stat.ME) ,010104 statistics & probability ,symbols.namesake ,Computer engineering ,Robustness (computer science) ,Modeling and Simulation ,62K25 ,symbols ,0101 mathematics ,Robust parameter design ,Gaussian process ,Statistics - Methodology - Abstract
To identify the robust settings of the control factors, it is very important to understand how they interact with the noise factors. In this article, we propose space-filling designs for computer experiments that are more capable of accurately estimating the control-by-noise interactions. Moreover, the existing space-filling designs focus on uniformly distributing the points in the design space, which are not suitable for noise factors because they usually follow non-uniform distributions such as normal distribution. This would suggest placing more points in the regions with high probability mass. However, noise factors also tend to have a smooth relationship with the response and therefore, placing more points towards the tails of the distribution is also useful for accurately estimating the relationship. These two opposing effects make the experimental design methodology a challenging problem. We propose optimal and computationally efficient solutions to this problem and demonstrate their advantages using simulated examples and a real industry example involving a manufacturing packing line.
- Published
- 2018
24. Model Calibration With Censored Data
- Author
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V. Roshan Joseph, Shan Ba, Fang Cao, and William A. Brenneman
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Statistics and Probability ,021103 operations research ,Applied Mathematics ,0211 other engineering and technologies ,02 engineering and technology ,Computer experiment ,computer.software_genre ,01 natural sciences ,Censoring (statistics) ,010104 statistics & probability ,symbols.namesake ,Modeling and Simulation ,symbols ,Data mining ,0101 mathematics ,computer ,Gaussian process ,Bayesian calibration ,Mathematics - Abstract
The purpose of model calibration is to make the model predictions closer to reality. The classical Kennedy-O'Hagan approach is widely used for model calibration, which can account for the inadequacy of the computer model while simultaneously estimating the unknown calibration parameters. In many applications, the phenomenon of censoring occurs when the exact outcome of the physical experiment is not observed, but is only known to fall within a certain region. In such cases, the Kennedy-O'Hagan approach cannot be used directly, and we propose a method to incorporate the censoring information when performing model calibration. The method is applied to study the compression phenomenon of liquid inside a bottle. The results show significant improvement over the traditional calibration methods, especially when the number of censored observations is large.
- Published
- 2018
25. Prospect of Tumor Treatment in the Post-PD-1/PD-L1 Inhibitor Era
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SHAN Baoen
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tumor immunotherapy ,immune checkpoint inhibitors therapy ,pd-1/pd-l1 antibody ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Immune checkpoint inhibitors restart and maintain cancer-immunity circulation to normalize the anti-tumor immunity. Currently, anti-PD-1/PD-L1 antibodies, as new milestone in immunotherapy, have significantly improved the prognosis of patients with various malignant tumors. However, anti-PD-1/PD-L1 antibody alone exhibited a low response rate, and the combination of anti-PD-1/PD-L1 antibody with traditional therapies such as surgery, chemotherapy, radiotherapy and targeted therapy have shown great potential. As new immune checkpoint inhibitors or in combination therapy are on the way, tumor immunotherapy is entering the era of post-anti-PD-1/PD-L1 antibody. The methodology of combination therapy and biomarker screening remain the focus. This paper reviews the current status of immune checkpoint inhibitor therapy and makes a perspective for the future of post-anti-PD-1/PD-L1 antibody era.
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- 2023
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26. A Sequential Maximum Projection Design Framework for Computer Experiments with Inert Factors
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William R. Myers, Shan Ba, and Dianpeng Wang
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Statistics and Probability ,Design framework ,Inert ,021103 operations research ,business.industry ,Computer science ,0211 other engineering and technologies ,02 engineering and technology ,Computer experiment ,01 natural sciences ,010104 statistics & probability ,Computer vision ,Artificial intelligence ,0101 mathematics ,Statistics, Probability and Uncertainty ,Projection (set theory) ,business - Published
- 2018
27. Application of laparoscopic assisted digestive tract reconstruction in patients with gastric cancer: Impact on expression of Cyclin D1 protein
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Zhang, Shu-Peng, primary, Xu, Jie, additional, Pan, Jian-Zhu, additional, Chen, Zong-Nan, additional, Shao, Jian-Ping, additional, and Shan, Ba-Zhen, additional
- Published
- 2019
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28. Maximum projection designs for computer experiments
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V. Roshan Joseph, Evren Gul, and Shan Ba
- Subjects
Statistics and Probability ,Mathematical optimization ,Class (computer programming) ,Applied Mathematics ,General Mathematics ,Computer experiment ,Minimax ,Agricultural and Biological Sciences (miscellaneous) ,Linear subspace ,Hypercube ,Statistics, Probability and Uncertainty ,General Agricultural and Biological Sciences ,Projection (set theory) ,Mathematics - Abstract
Space-filling properties are important in designing computer experiments. The traditional maximin and minimax distance designs consider only space-filling in the full-dimensional space; this can result in poor projections onto lower-dimensional spaces, which is undesirable when only a few factors are active. Restricting maximin distance design to the class of Latin hypercubes can improve one-dimensional projections but cannot guarantee good space-filling properties in larger subspaces. We propose designs that maximize space-filling properties on projections to all subsets of factors. We call our designs maximum projection designs. Our design criterion can be computed at no more cost than a design criterion that ignores projection properties.
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- 2015
29. Integrating Analytical Models with Finite-Element Models: An Application in Micromachining
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V. Roshan Joseph, Nikhil Jain, Ramesh Singh, and Shan Ba
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Engineering Model ,Computer science ,Strategy and Management ,0211 other engineering and technologies ,Computer Code ,Mechanical engineering ,02 engineering and technology ,Management Science and Operations Research ,Two-Stage Design ,01 natural sciences ,Industrial and Manufacturing Engineering ,Factorials ,010104 statistics & probability ,Breakage ,Cutting force ,Metamodel ,0101 mathematics ,Safety, Risk, Reliability and Quality ,Accuracy ,021103 operations research ,Gaussian Process Model ,Output ,Space-Filling Designs ,Computer experiment ,Finite element method ,Computer Science::Other ,Metamodeling ,Surface micromachining ,Sensitivity Analysis ,Steel ,Feature (computer vision) ,Computer Experiment - Abstract
Problem: The prediction of cutting forces is very important in designing mechanical micromachining to ensure geometrical accuracy of the machined feature and avoid tool breakage. These predictions can be done either via analytical models or finite-element models. The finite-element models are precise but usually time consuming to run. Analytical models, on the other hand, are less accurate but computationally much cheaper. The problem here is to integrate these two types of physics-based models and obtain an easy-to-evaluate statistical model that can approximate the machining forces. Approach: We propose performing a sensitivity analysis using the computationally cheap analytical models prior to conducting the computationally intensive finite-element simulations. With the elicited prior knowledge from the sensitivity analysis, a two-stage strategy is presented for designing the finite-element simulations in which customized number of levels can be assigned for each input factor. The finite-element simulation data can then be integrated with the analytical models in developing the final metamodel. Results: We show that the initial sensitivity analysis can reveal critical information about the underlying system and guide us to more efficiently extract information from the finite-element models. The proposed design for the finite-element simulations is comprised of two subarrays and overall can achieve desirable orthogonality and space-filling properties. Compared with using n different levels for all input factors, as in the traditional space-filling design, the new design is more capable for estimating factor interactions while still maintaining the ability to capture necessary nonlinear effects. By using fewer levels, it can also improve the efficiency of estimating the effects when the simulation is subject to stochastic noise. In model validation, our numerical results indicate that the fitted integrated metamodel can more precisely approximate the machining forces than either using the analytical models or the traditional metamodel based on the finite-element simulations alone.
- Published
- 2013
30. Mechanism of action of icaritin on uterine corpus endometrial carcinoma based on network pharmacology and experimental evaluation
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Yan-Bin Jin, Xiao-Chen Liang, Jun-Hong Cai, Kang Wang, Chen-Yang Wang, Wen-Hua Wang, Xiu-Li Chen, and Shan Bao
- Subjects
uterine corpus endometrial carcinoma (UCEC) ,icaritin ,network pharmacology ,PI3K ,Akt ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
BackgroundUterine corpus endometrial carcinoma (UCEC) belongs to a group of epithelial malignant tumors. Icaritin is the main active compound of Epimedii Folium. Icaritin has been utilized to induce UCEC cells to death.MethodsWe wished to identify potential targets for icaritin in the treatment of UCEC, as well as to provide a groundwork for future studies into its pharmacologic mechanism of action. Network pharmacology was employed to conduct investigations on icaritin. Target proteins were chosen from the components of icaritin for UCEC treatment. A protein–protein interaction (PPI) network was established using overlapping genes. Analyses of enrichment of function and signaling pathways were undertaken using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases, respectively, to select “hub genes”. Finally, experiments were carried out to ascertain the effect of icaritin on endometrial cancer (HEC-1-A) cells.ResultsWe demonstrated that icaritin has bioactive components and putative targets that are therapeutically important. Icaritin treatment induced sustained activation of the phosphoinositide 3-kinase/protein kinase B (PI3K/Akt pathway) and inhibited growth of HEC-1-A cells.ConclusionOur data provide a rationale for preclinical and clinical evaluations of icaritin for UCEC therapy.
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- 2023
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31. Multi-Layer Designs for Computer Experiments
- Author
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V. Roshan Joseph and Shan Ba
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Statistics and Probability ,Mathematical optimization ,Plackett–Burman design ,Latin hypercube sampling ,Computer engineering ,Redundancy (engineering) ,Fractional factorial design ,Factorial experiment ,Statistics, Probability and Uncertainty ,Computer experiment ,Multi layer ,Factor space ,Mathematics - Abstract
Space-filling designs such as Latin hypercube designs (LHDs) are widely used in computer experiments. However, finding an optimal LHD with good space-filling properties is computationally cumbersome. On the other hand, the well-established factorial designs in physical experiments are unsuitable for computer experiments owing to the redundancy of design points when projected onto a subset of factor space. In this work, we present a new class of space-filling designs developed by splitting two-level factorial designs into multiple layers. The method takes advantage of many available results in factorial design theory and therefore, the proposed multi-layer designs (MLDs) are easy to generate. Moreover, our numerical study shows that MLDs can have better space-filling properties than optimal LHDs.
- Published
- 2011
32. Optimizing and Improving the Growth Quality of ZnO Nanowire Arrays Guided by Statistical Design of Experiments
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C. F. Jeff Wu, Zhong Lin Wang, Sheng Xu, Nagesh Adiga, Shan Ba, and Tirthankar Dasgupta
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Nanostructure ,Materials science ,Statistical design ,Photovoltaic system ,General Engineering ,Nanowire ,General Physics and Astronomy ,Nanotechnology ,Aspect ratio (image) ,law.invention ,Anti-reflective coating ,Quality (physics) ,law ,Main effect ,General Materials Science - Abstract
Controlling the morphology of the as-synthesized nanostructures is usually challenging, and there lacks of a general theoretical guidance in experimental approach. In this study, a novel way of optimizing the aspect ratio of hydrothermally grown ZnO nanowire (NW) arrays is presented by utilizing a systematic statistical design and analysis method. In this work, we use pick-the-winner rule and one-pair-at-a-time main effect analysis to sequentially design the experiments and identify optimal reaction settings. By controlling the hydrothermal reaction parameters (reaction temperature, time, precursor concentration, and capping agent), we improved the aspect ratio of ZnO NWs from around 10 to nearly 23. The effect of noise on the experimental results was identified and successfully reduced, and the statistical design and analysis methods were very effective in reducing the number of experiments performed and in identifying the optimal experimental settings. In addition, the antireflection spectrum of the as-synthesized ZnO NWs clearly shows that higher aspect ratio of the ZnO NW arrays leads to about 30% stronger suppression in the UV-vis range emission. This shows great potential applications as antireflective coating layers in photovoltaic devices.
- Published
- 2009
33. Evaluating the Effect of Sinex® (0.05% Oxymetazoline) Nasal Spray on Reduction of Nasal Congestion Using Computational Fluid Dynamics
- Author
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Shan Ba, Lauren Blake, Aravind Kishore, Gary Gross, and Chengming Wang
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Vicks Sinex ,medicine.medical_treatment ,Oxymetazoline ,Biomedical Engineering ,Nose ,Computational fluid dynamics ,Nasal congestion ,Models, Biological ,Clinical study ,Physiology (medical) ,medicine ,Humans ,Oxymetazoline Nasal Spray ,medicine.diagnostic_test ,business.industry ,Magnetic resonance imaging ,Nasal Sprays ,Magnetic Resonance Imaging ,Nasal Decongestants ,Nasal spray ,Anesthesia ,Hydrodynamics ,medicine.symptom ,business ,medicine.drug - Abstract
Computational fluid dynamics (CFD) was used to simulate air flow changes in reconstructed nasal passages based on magnetic resonance imaging (MRI) data from a previous clinical study of 0.05% Oxymetazoline (Vicks Sinex Micromist®). Total-pressure boundary conditions were uniquely applied to accommodate low patency subjects. Net nasal resistance, the primary simulation outcome, was determined using a parallel-circuit analogy and compared across treatments. Relative risk (RR) calculations show that for a 50% reduction in nasal resistance, subjects treated with Sinex® are 9.1 times more likely to achieve this after 8 hr, and 3.2 times more likely after 12 hr compared to Sham.
- Published
- 2015
34. Investigation of influence of micro-structure on magnetic properties of amorphous powder core
- Author
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Zhi-chao Lu, Jun Wang, Cao-wei Lu, Shan Ba, Feng Guo, and De-ren Li
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Materials science ,Annealing (metallurgy) ,Metals and Alloys ,Mineralogy ,Coercivity ,Condensed Matter Physics ,Micro structure ,Amorphous solid ,law.invention ,Permeability (electromagnetism) ,law ,Materials Chemistry ,Physical and Theoretical Chemistry ,Composite material ,Crystallization - Abstract
The influence of micro-structure on magnetic properties of amorphous powder core was investigated. The results show that the amorphous powders of the powder core become crystallized with the increase of annealing temperature, and the permeability decreases from 60 to 12, the core loss increases from 0.2 to 0.3 W °Cm−3, DC-bias characteristic was improved with further increase of annealing temperature, and the magnetic properties become deteriorated due to decrease of permeability and enhancement of coercive force resulting from the crystallization of amorphous powder.
- Published
- 2006
35. Effect of glass removal on the GMI effect of Co71.8Fe4.9Nb0.8Si7.5B15 amorphous glass-covered wires
- Author
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Zhi-chao Lu, De-ren Li, Shao-xiong Zhou, Zheng Chen, and Shan Ba
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Materials science ,Metals and Alloys ,Field dependence ,Radius ,Condensed Matter Physics ,Glass cover ,Amorphous solid ,Magnetic field ,Nuclear magnetic resonance ,Materials Chemistry ,Physical and Theoretical Chemistry ,Composite material ,Penetration depth ,Electrical impedance - Abstract
During the past several years, giant magneto-impedance effect (GMI) in amorphous wires has generated growing interest in the science community because of their applications in sensors. The giant magneto-impedance effect in Co71.8Fe4.9Nb0.8Si7.5B15 amorphous glass-covered wires (AGCW) consists of strong changes in the high frequency impedance with a small DC magnetic field. When f = 1 MHz, there is no GMI effect due to the fact that the magnetic penetration depth is higher than their radius. As the frequency increases, the GMI effect becomes important in both the glass-covered wire and the wire after glass removal. Field dependence of the impedance has a similar behaviour to the AGGW ones, when a tensile stress is applied to the wire without glass cover.
- Published
- 2006
36. IFN-γ Inhibits Proliferation and Migration of Esophageal Squamous Cell Carcinoma by Downregulating CXCL8 Expression
- Author
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CHEN Huicong, LIU Yunjiang, ZHAO Jidong, CAO Miao, LI Xinhui, REN Shuguang, ZHANG Xiangmei, and SHAN Baoen
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interferon-γ ,esophageal squamous cell carcinoma ,cxcl8 ,proliferation ,migration ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Objective To investigate the effect of IFN-γ on the proliferation and migration of esophageal squamous cell carcinoma cell line Eca9706 and related mechanism. Methods Cells were cultured in vitro and treated with interferon-γ. Cell morphology changes were observed under microscope, cell proliferation ability was detected by CCK-8 experiment, and cell migration ability was detected by cell scratch experiment and Transwell experiment. Real-time PCR method was used to detect the expression efficiency of chemokine CXCL8 (interleukin 8), and the ELISA experiment was used to detect the change of CXCL8 secretion. Results Compared with the blank control group, Eca9706 cells treated with different concentrations of interferon-γ did not change significantly in cell morphology. CCK8 experiment confirmed that the proliferation ability of Eca9706 cells after IFN-γ treatment was significantly reduced (P < 0.01). Cell scratch experiment found that IFN-γ significantly decreased the migration ability of Eca9706 cells (P < 0.01). Transwell experiment showed that after IFN-γ treatment, the migration ability of Eca9706 cells was significantly inhibited (P < 0.01). CXCL8 gene expression level in Eca9706 cells treated with interferon-γ was significantly down-regulated (P < 0.01), and the amount of CXCL8 secretion significantly reduced (P < 0.05). Conclusion Interferon-γ can inhibit the proliferation and migration of esophageal cancer cell line Eca9706, which may be related to its inhibition of the expression and secretion of CXCL8.
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- 2022
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37. A SEQUENTIAL MAXIMUM PROJECTION DESIGN FRAMEWORK FOR COMPUTER EXPERIMENTS WITH INERT FACTORS.
- Author
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Shan Ba, Myers, William R., and Dianpeng Wang
- Subjects
COMPUTER engineering ,SAMPLE size (Statistics) - Abstract
Many computer experiments involve a large number of input factors, but many of them are inert and only a subset are important. This paper develops a new sequential design framework that can accommodate multiple responses and quickly screen out inert factors so that the final design is space-filling with respect to the active factors. By folding over Latin hypercube designs with sliced structure, this sequential design can have flexible sample size in each stage and also ensure that each stage, as well as the whole combined design, are all approximately Latin hypercube designs. The sequential framework does not require prescribing the total sample size and, under the presence of inert factors, can lead to substantial savings in simulation resources. Even if all factors are important, the proposed sequential design can still achieve a similar overall space-filling property compared to a maximin Latin hypercube design optimized in a single stage. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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38. Efficacy and Safety of Immune Checkpoint Inhibitors Therapy on Advanced Gastric Cancer or Gastroesophageal Junction Cancer: A Meta-analysis
- Author
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SHAN Yujie, LIANG Ping, LYU Yalei, WANG Long, ZHANG Xiaolin, and SHAN Baoen
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advanced gastric cancer ,advanced gastroesophageal junction cancer ,immune checkpoint inhibitors ,chemotherapy ,placebo ,effectiveness ,safety ,meta-analysis ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Objective To systematically evaluate the efficacy and safety of immune checkpoint inhibitors in the treatment of advanced gastric cancer or gastroesophageal junction cancer (GC/GEJC). Methods CNKI, Wanfang, PubMed, EMBASE, ClinicalTrials, Cochrane Library and other databases were searched to collect the clinical trials of immune checkpoint inhibitors in the treatment of advanced GC/GEJC. The retrieval time was from the inception to Nov. 2019. Outcome measures mainly included ORR, DCR, PFS, OS and toxicities. The adoption rate difference and hazard ratio were effect measures. Meta-analysis was performed using RevMan 5.3 software. Results We included seven literatures with a total of 1949 patients. Meta-analysis showed that for the patients with advanced GC/GEJC, the second-line or later immune checkpoint inhibitor therapy improved the overall survival rate at 12 and 18 months; the OS of the patients was prolonged, compared with chemotherapy/placebo therapy (all P < 0.05). The incidence of adverse reactions of any grade or ≥grade 3 caused by immune checkpoint inhibitor therapy was lower than that caused by chemotherapy/placebo. Conclusion Immune checkpoint inhibitor treatment could improve survival endpoints in some patients with advanced GC/GEJC, and the incidence of common adverse reactions is low.
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- 2021
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39. Visual Features Extraction Through Spatiotemporal Slice Analysis
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Yongdong Zhang, Shan Ba, Sheng Tang, Jintao Li, and Xuefeng Pan
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business.industry ,Computer science ,Spatial database ,Feature extraction ,Frame (networking) ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Temporal database ,Video compression picture types ,Feature (computer vision) ,Video tracking ,Pattern recognition (psychology) ,Discrete cosine transform ,Computer vision ,Artificial intelligence ,business - Abstract
In this paper we propose a novel feature extracting method based on spatiotemporal slice analyzing. To date, video features are focused on the character of every single video frame. With our method, the video content is no longer represented with every single frame. The temporal variation of visual information is taken as an important feature of video in our method. We examined this kind of feature with experiments in this paper. The experiment results show that the proposed feature is effective and robust for variant video content and format.
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- 2006
40. Automatic Detection and Recognition of Athlete Actions in Diving Video
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Yongdong Zhang, Si Wu, Hao-Jie Li, Shouxun Lin, and Shan Ba
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Motion analysis ,business.industry ,Computer science ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Image processing ,Image segmentation ,Motion estimation ,Video tracking ,Computer vision ,Segmentation ,Artificial intelligence ,Hidden Markov model ,business ,Image retrieval - Abstract
This paper presents a system for automatic detecting and recognizing complex individual actions in sports video to facilitate high-level content-based video indexing and retrieval. This is challenging due to the cluttered and dynamic background in sports video which makes object segmentation formidable. Another difficulty is to fully automatically and accurately detect desired actions from long video sequence. We propose three techniques to handle these challenges. Firstly, an efficient approach exploiting dominant motion and semantic color analysis is developed to detecting the highlight clips which contain athlete’s action from video sequences. Secondly, a robust object segmentation algorithm based on adaptive dynamic background construction is proposed to segment the athlete’s body from the clip. Finally, to recognize the segmented body shape sequences, the hidden markov models are slightly modified to make them suitable for noisy data processing. The proposed system for broadcast diving video analysis has achieved 96.6% detection precision; and 85% recognition accuracy for 13 kinds of diving actions.
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- 2006
41. Screening Results of Colorectal Cancer in Urban Area of Hebei Province, 2018-2019
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HE Yutong, REN Meng, HU Jianjun, CHEN Shuohua, GAO Wei, WANG Jing, XIA Changjin, LIANG Di, SHI Jin, and SHAN Baoen
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colorectal cancer ,screening ,early diagnosis and treatment ,urban ,hebei province ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Objective To analyze the screening results of colorectal cancer in urban area of Hebei Province from 2018 to 2019. Methods According to the screening process of early diagnosis and treatment of colorectal cancer in urban area of Hebei Province, we enrolled local residents aged 40-74 years from the selected communities in Shijiazhuang and Tangshan City. The high-risk populations were evaluated by national unified evaluation model after the questionnaires. The early colorectal lesions were detected by colonoscopy, and further confirmed pathologically if necessary. Results From 2018 to 2019, a total of 37849 urban residents were involved in the risk assessment of colorectal cancer, and 6938 (18.33%) cases were evaluated as the high risk population of colorectal cancer, among which 1230 cases received colonoscopy examination and 37.8%(465/1230) received pathological examination. The age of the residents who received pathological diagnosis was mainly distributed in the age group of 50-64 years. A total of 6 (0.49%) patients with colorectal cancer were diagnosed, including 4 (0.33%) cases of colon cancer and 2 (0.16%) cases of rectum cancer. The detection rates of colorectal precancerous lesion, non-advanced adenoma/polyp and inflammatory intestinal disease were 15.45%, 20.22% and 13.66%, respectively. Conclusion Colonoscopy screening could effectively detect colorectal cancer and precancerous lesions, and achieve early detection, early diagnosis and early intervention of colorectal cancer.
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- 2020
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42. A pan-cancer perspective of matrix metalloproteases (MMP) gene expression profile and their diagnostic/prognostic potential
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Emily Gobin, Kayla Bagwell, John Wagner, David Mysona, Sharmila Sandirasegarane, Nathan Smith, Shan Bai, Ashok Sharma, Robert Schleifer, and Jin-Xiong She
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Gene expression ,MMPs ,Matrix metalloproteases ,Biomarkers ,Survival ,Diagnosis ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Implication By understanding Matrix Metalloprotease (MMP) dysregulation from a pan-cancer perspective, this study sheds light on the diagnostic potentials of MMPs across multiple neoplasms. Background MMPs are intriguing genes related to cancer disease progression, functional promotion of angiogenesis, invasion, metastasis, and avoidance of immune surveillance. Many studies have noted these genes are frequently upregulated in cancer. However, expression patterns of all MMPs and their diagnostic and prognostic potential have not been investigated in a pan-cancer perspective. Methods The Cancer Genome Atlas (TCGA) data were used to evaluate diagnostic and prognostic potential of 24 MMPs in fifteen different cancer types. Gene expression measured by RNA-seq was analyzed by differential expression, hierarchical clustering, and ROC analysis for individual genes and in combination. Results MMP1, MMP9, MMP10, MMP11, and MMP13 were almost universally upregulated across all cancers, with significant (p 2) in ten of fifteen cancers. MMP3, MMP7, MMP12 and MMP14) are significantly up-regulated in at least 10 cancer types. Interestingly, MMP2, MMP7, MMP23B, MMP27 and MMP28) are significantly down-regulated in seven to nine cancer types. Multiple MMPs possess AUC’s > 0.9 in more than one cancer. However, survival analyses suggest that the prognostic value of MMPs is limited to clear cell renal carcinoma. Conclusions Most MMPs have consistently increased gene expression across cancers, while several MMPs have consistently decreased expression in several cancer types. Many MMPs have diagnostic value individually or in combination, while the prognostic value of MMPs is restricted to one subtype of kidney cancer.
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- 2019
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43. Using 3D Mobile Mapping to Evaluate Intersection Design Through Drivers’ Visual Perception
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Bo Yu, Shan Bao, Yuren Chen, and Yu Chen
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3D mobile mapping ,intersection design ,channelization ,drivers’ visual lane model ,Bayesian inference ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
At intersections, road features related to different maneuvers, such as left-turn, right-turn, and central channelization (i.e., guidelines and channelized islands), are widely used to decrease the traffic conflicts and improve the safety and mobility of traffic. However, there are several main problems related to channelization design at intersections, including poor recognizability, unreasonable entering speed, insufficient sight distance, and relatively low merging speed. To address these problems, this paper focused on developing a method to assess how to design intersection features by dividing the driving process through intersections into four stages: “appearance of channelization,” “beginning of channelization,” “middle of channelization,” and “end of channelization.” Drivers' visual lane models were established based on the Catmull-Rom spline to quantify visual road information perceived by drivers. Shape parameters and three characteristic regions were extracted from these models. The naturalistic driving experiments and 3D mobile mapping experiments were conducted at intersections with channelized islands or guidelines. Driving speed distributions in the four stages were found to obey normal distributions and could be calculated by shape parameters with Bayesian inference. Then, 3D mobile mapping was used as a substitute for extensive naturalistic driving experiments to obtain drivers' visual perception from all possible visual angles. An evaluation method on intersection design was built and used to identify which stage of channelization needs to be modified. This new method helps to enhance the safety and efficiency of intersections.
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- 2019
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44. Research Advances of IL-8 and Its Receptors in Tumor Progression and Treatment
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YANG Qing, ZHANG Xiangmei, WENG Chengang, and SHAN Baoen
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il-8 ,tumor ,treatment ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Interleukin-8 (IL-8), a member of the CXC chemokine family, is an important mediator of immune responses in the innate immune system. Recent studies have confirmed that IL-8 is significantly elevated in a variety of tumor tissues, including breast, nasopharyngeal, colorectal and gastric tumors, and also in the serum of patients suffering from these cancers. The level of IL-8 is correlated to the TNM staging and prognosis of cancer patients. Researches have shown that IL-8 is an indispensable inflammatory and immunosuppressive factor in the tumor microenvironment, capable of promoting tumor progression, angiogenesis and the recruitment of immune suppressor cells, as well as suppressing immune responses against tumor growth. It is also closely related to the drug resistance of tumors. This article provides a review on the application of targeted therapies related to IL-8 and the progress in combining these therapies with other anti-tumor treatments.
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- 2019
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45. A fallback mechanism or a commander? A discussion about the role and skill needs of future drivers within partially automated vehicles
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Yu Zhang, Linda Angell, and Shan Bao
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Automated driving ,Operational control ,Tactical and strategical control ,Driver roles ,Commander-like ,Transportation and communications ,HE1-9990 - Abstract
Vehicle automation promises to improve safety. However, it also raises concerns about human performance. Many current research and policy efforts address automation effects on operational levels of driving control. However, the driving task encompasses more than just operational control. So, in this paper, we ask whether a more holistic view of the driving task should be considered. Would such a framework imply that the human role is more than just a “fallback” mechanism for automation systems, especially for partial automation systems? If the human role were conceptualized more as a “commander role” (than an “operator”), would it enable system-level performance to be optimized more effectively? If so, would this lead to changes in design of the vehicle and interface—as well as in skills needed by human users? New skills like strategic planning, delegation of control responsibility, tactical avoidance, and effective mediation of hazardous situations could become important. A more holistic approach for integrating automation may facilitate role change for human users while also improving safety.
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- 2021
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46. Serum Levels of Inflammatory Proteins Are Associated With Peripheral Neuropathy in a Cross-Sectional Type-1 Diabetes Cohort
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Sharad Purohit, Paul Minh Huy Tran, Lynn Kim Hoang Tran, Khaled Bin Satter, Mingfang He, Wenbo Zhi, Shan Bai, Diane Hopkins, Melissa Gardiner, Chandramohan Wakade, Jennifer Bryant, Risa Bernard, John Morgan, Bruce Bode, John Chip Reed, and Jin-Xiong She
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autoimmunity ,chronic inflammation ,type-1 diabetes ,cytokines ,receptors ,peripheral neuropathy ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Chronic low-grade inflammation is involved in the pathogenesis of type-1 diabetes (T1D) and its complications. In this cross-section study design, we investigated association between serum levels of soluble cytokine receptors with presence of peripheral neuropathy in 694 type-1 diabetes patients. Sex, age, blood pressure, smoking, alcohol intake, HbA1c and lipid profile, presence of DPN (peripheral and autonomic), retinopathy and nephropathy was obtained from patient’s chart. Measurement of soluble cytokine receptors, markers of systemic and vascular inflammation was done using multiplex immunoassays. Serum levels were elevated in in DPN patients, independent of gender, age and duration of diabetes. Crude odds ratios were significantly associated with presence of DPN for 15/22 proteins. The Odds ratio (OR) remained unchanged for sTNFRI (1.72, p=0.00001), sTNFRII (1.45, p=0.0027), sIL2Rα (1.40, p=0.0023), IGFBP6 (1.51, p=0.0032) and CRP (1.47, p=0.0046) after adjusting for confounding variables, HbA1C, hypertension and dyslipidemia. Further we showed risk of DPN is associated with increase in serum levels of sTNFRI (OR=11.2, p
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- 2021
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47. Evaluating the Effect of Sinex® (0.05% Oxymetazoline) Nasal Spray on Reduction of Nasal Congestion Using Computational Fluid Dynamics.
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Kishore, Aravind, Blake, Lauren, Chengming Wang, Shan Ba, and Gross, Gary
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- 2015
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48. Beyond safety drivers: Applying air traffic control principles to support the deployment of driverless vehicles.
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Robert C Hampshire, Shan Bao, Walter S Lasecki, Andrew Daw, and Jamol Pender
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Medicine ,Science - Abstract
By adopting and extending lessons from the air traffic control system, we argue that a nationwide remote monitoring system for driverless vehicles could increase safety dramatically, speed these vehicles' deployment, and provide employment. It is becoming clear that fully driverless vehicles will not be able to handle "edge" cases in the near future, suggesting that new methods are needed to monitor remotely driverless vehicles' safe deployment. While the remote operations concept is not new, a super-human driver is needed to handle sudden, critical events. We envision that the remote operators do not directly drive the vehicles, but provide input on high level tasks such as path-planning, object detection and classification. This can be achieved via input from multiple individuals, coordinated around a task at a moment's notice. Assuming a 10% penetration rate of driverless vehicles, we show that one remote driver can replace 14,840 human drivers. A comprehensive nationwide interoperability standard and procedure should be established for the remote monitoring and operation of driverless vehicles. The resulting system has potential to be an order of magnitude safer than today's ground transportation system. We articulate a research and policy roadmap to launch this nationwide system. Additionally, this hybrid human-AI system introduces a new job category, likely a source of employment nationwide.
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- 2020
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49. Oncocytoma-Related Gene Signature to Differentiate Chromophobe Renal Cancer and Oncocytoma Using Machine Learning
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Khaled Bin Satter, Paul Minh Huy Tran, Lynn Kim Hoang Tran, Zach Ramsey, Katheine Pinkerton, Shan Bai, Natasha M. Savage, Sravan Kavuri, Martha K. Terris, Jin-Xiong She, and Sharad Purohit
- Subjects
chromophobe ,oncocytoma ,classification ,machine learning ,transcriptomic ,gene signature ,Cytology ,QH573-671 - Abstract
Publicly available gene expression datasets were analyzed to develop a chromophobe and oncocytoma related gene signature (COGS) to distinguish chRCC from RO. The datasets GSE11151, GSE19982, GSE2109, GSE8271 and GSE11024 were combined into a discovery dataset. The transcriptomic differences were identified with unsupervised learning in the discovery dataset (97.8% accuracy) with density based UMAP (DBU). The top 30 genes were identified by univariate gene expression analysis and ROC analysis, to create a gene signature called COGS. COGS, combined with DBU, was able to differentiate chRCC from RO in the discovery dataset with an accuracy of 97.8%. The classification accuracy of COGS was validated in an independent meta-dataset consisting of TCGA-KICH and GSE12090, where COGS could differentiate chRCC from RO with 100% accuracy. The differentially expressed genes were involved in carbohydrate metabolism, transcriptomic regulation by TP53, beta-catenin-dependent Wnt signaling, and cytokine (IL-4 and IL-13) signaling highly active in cancer cells. Using multiple datasets and machine learning, we constructed and validated COGS as a tool that can differentiate chRCC from RO and complement histology in routine clinical practice to distinguish these two tumors.
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- 2022
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50. Research on power demand forecasting based on attention mechanism and deep learning network
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Zhang Chenglong, Yao Li, Zhang Jinjin, Wu Junyong, Shan Baoguo, and Lan Dong
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power demand forecasting ,attention mechanism ,convolutional neural networks ,long short-term memory ,multiple influencing factors ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
Combining actual conditions, power demand forecasting is affected by various uncertain factors such as meteorological factors, economic factors, and diversity of forecasting models, which increase the complexity of forecasting. In response to this problem, taking into account that different time step states will have different effects on the output, the attention mechanism is introduced into the method proposed in this paper, which improves the deep learning model. Improved models of convolutional neural networks (CNN) and long short-term memory (LSTM) that combine the attention mechanism are proposed respectively. Finally, according to the verification results of actual examples, it is proved that the proposed method can obtain a smaller error and the prediction performance are better compared with other models.
- Published
- 2022
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