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A performance model of MVS

Willy W. Chiu-We, Min Chow
1978 IBM Systems Journal  
This paper presents a research case study of the devel- opment of a performance model called PMOD, for the IBM OS/MVS operating system.  ...  Both the validation and usage of the model for capacity planning and system tuning are discussed. A performance model of MVS by Willy W.  ... 
doi:10.1147/sj.174.0444 fatcat:vux3skvmhve2tkxr3fh732kswe

Mitral valve repair rates correlate with surgeon and institutional experience

Damien J. LaPar, Gorav Ailawadi, James M. Isbell, Ivan K. Crosby, John A. Kern, Jeffrey B. Rich, Alan M. Speir, Irving L. Kron
2014 Journal of Thoracic and Cardiovascular Surgery  
The purpose of the present study was to evaluate the relationship between procedure volume and the propensity for MV repair in a multi-institution, regional patient cohort.  ...  Objectives: Mitral valve (MV) repair rates have lagged despite reported superior outcomes in patients with mitral regurgitation.  ...  of MV repair, logistic regression modeling was performed.  ... 
doi:10.1016/j.jtcvs.2014.06.039 pmid:25048633 fatcat:5p5i4c3q4bempnjjlfuccg6c7i

A novel finite element-based patient-specific mitral valve repair: virtual ring annuloplasty

Ahnryul Choi, Yonghoon Rim, Jeffrey S Mun, Hyunggun Kim
2014 Bio-medical materials and engineering  
The ring was positioned over the patient MV model and annuloplasty was simulated. Dynamic simulation of MV function across the complete cardiac cycle was performed.  ...  A virtual MV was created using 3D echocardiographic data in a patient with mitral annular dilation. Proper type and size of the ring were determined in consideration of the MV apparatus geometry.  ...  A patient-specific virtual MV model was created from 3D transesophageal echocardiography (TEE) data of a patient with MR due to annular dilation using our virtual MV modeling protocol developed in previous  ... 
doi:10.3233/bme-130816 pmid:24211915 pmcid:PMC4044101 fatcat:6gme5jxyirgezfmy2aspjgtk5a

An Improved Fast Affine Motion Estimation Based on Edge Detection Algorithm for VVC

Weizheng Ren, Wei He, Yansong Cui
2020 Symmetry  
This paper gives an overview of both the 4-parameter affine motion model and the 6-parameter affine motion model, analyzes their performances, and proposes improved algorithms according to the symmetry  ...  As a newly proposed video coding standard, Versatile Video Coding (VVC) has adopted some revolutionary techniques compared to High Efficiency Video Coding (HEVC).  ...  The rate-distortion curves with three kinds of motion compensation. (a) Performances of the sequence "China Speed". (b) Performances of the sequence "Park Scene". Figure 10 . 10 Figure 10.  ... 
doi:10.3390/sym12071143 fatcat:og6y6htb3vchbgo6epevfzah5u

Development of a Functionally Equivalent Model of the Mitral Valve Chordae Tendineae Through Topology Optimization

Amir H. Khalighi, Bruno V. Rego, Andrew Drach, Robert C. Gorman, Joseph H. Gorman, Michael S. Sacks
2018 Annals of Biomedical Engineering  
To assess the performance and predictive power of each synthetic model, we analyzed their performance by comparing the mismatch in simulated MV closed shape, as well as the strain and stress tensors, to  ...  We showed that the closing behavior of complete MV apparatus under normal, diseased, and surgically repaired scenarios can be faithfully replicated by a functionally equivalent MVCT model comprised of  ...  ACKNOWLEDGMENTS Research reported in this publication was supported by National Heart, Lung, and Blood Institute of the National Institutes of Health under Award Number R01-HL119297, National Science Foundation  ... 
doi:10.1007/s10439-018-02122-y pmid:30187238 fatcat:mbzstdxltvfulgvk6bbdjdadfm

One-Step Dynamic Classifier Ensemble Model for Customer Value Segmentation with Missing Values

Jin Xiao, Bing Zhu, Geer Teng, Changzheng He, Dunhu Liu
2014 Mathematical Problems in Engineering  
In real CVS, the customer data usually include lots of missing values, which may affect the performance of CVS model greatly.  ...  This study proposes a one-step dynamic classifier ensemble model for missing values (ODCEM) model.  ...  Conflict of Interests The authors declare that they have no conflict of interests regarding the publication of this paper. Acknowledgments This research is partly supported by the Natural Science  ... 
doi:10.1155/2014/869628 fatcat:i75qyi6sjbavzmci7q3l7h7p2y

Design of Efficient Perspective Affine Motion Estimation/Compensation for Versatile Video Coding (VVC) Standard

Young-Ju Choi, Dong-San Jun, Won-Sik Cheong, Byung-Gyu Kim
2019 Electronics  
The fundamental motion model of the conventional block-based motion compensation in High Efficiency Video Coding (HEVC) is a translational motion model.  ...  Because the block with the perspective motion model is a rectangle without specific feature, the proposed PAMC shows effective encoding performance for the test sequence containing irregular object distortions  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics8090993 fatcat:ewztqjak25fajbtzzm6ody2oba

Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction [article]

Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia
2021 arXiv   pre-print
Our results indicate not only the effectiveness of the proposed MV-DAR model in learning from ambiguous labels but also its superiority over present noisy label-learning models in lung nodule malignancy  ...  In this paper, we propose a multi-view "divide-and-rule" (MV-DAR) model to learn from both reliable and ambiguous annotations for lung nodule malignancy prediction.  ...  ACKNOWLEDGMENT We acknowledge the National Cancer Institute (NCI) and the Foundation for the National Institutes of Health, and their critical role in the creation of the free publicly available LIDC-IDRI  ... 
arXiv:2104.11436v1 fatcat:fpyxoh46czdqpnydzs3imj7g7a

Optimal Deep Learning based Classification Model for Mitral Valve Diagnosis System

2020 International Journal of Engineering and Advanced Technology  
Due to the non-availability of MV dataset, we have collected a MV dataset of our own from a total of 211 instances.  ...  This paper makes use of deep learning (DL) model to develop a MV classification model to diagnose the severity level.  ...  PERFORMANCE ANALYSIS A. Dataset details For the validaion of efficient performance of the introduced CNN-MV model, a dataset is collected by our own.  ... 
doi:10.35940/ijeat.c6530.049420 fatcat:4t5lwnjlg5ghpku7frdaic5zo4

Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation

Xianling Dong, Shiqi Xu, Yanli Liu, Aihui Wang, M. Iqbal Saripan, Li Li, Xiaolei Zhang, Lijun Lu
2020 Cancer Imaging  
a Dice coefficient of 0.926 and an average surface distance of 0.072. our MV-SIR model can accurately perform 3D segmentation of lung nodules with the same segmentation accuracy as the U-net model.  ...  The results of tests conducted using our model and comparison with other existing CNN models indicate that the MV-SIR model achieves excellent results in the 3D segmentation of pulmonary nodules, with  ...  The MV-I-CNN model performs better, but there are still a certain number of false positives. By contrast, our model achieves a satisfactory 3D segmentation effect.  ... 
doi:10.1186/s40644-020-00331-0 pmid:32738913 fatcat:hevun3melffmdbvzgqd3x3zxme

Galvanic Vestibular Stimulation Effects on EEG Biomarkers of Motor Vigor in Parkinson's Disease

Alireza Kazemi, Maryam S. Mirian, Soojin Lee, Martin J. McKeown
2021 Frontiers in Neurology  
features predictive of MV and examine the effects of high-frequency GVS.Methods: Data were collected from 20 healthy control (HC) and 18 PD adults performing 30 trials total of a squeeze bulb task with  ...  Impaired motor vigor (MV) is a critical aspect of Parkinson's disease (PD) pathophysiology.  ...  of the model in predicting MV.  ... 
doi:10.3389/fneur.2021.759149 pmid:34803892 pmcid:PMC8599939 fatcat:qeudarrlcnb5routzy72aountu

An Empirical Evaluation of Alternative Asset Allocation Policies for Emerging and Frontier Market Investors in Africa

Okwaro Douglas Job
2022 Journal of Financial Risk Management  
Using a portfolio formed from 2 Emerging Market and 5 Frontier Market indices in Africa, this study sought to compare the performance of the traditional Mean-Variance model against the performance of the  ...  The best diversification methods from the perspective of a private investor in real-life situations still remain largely unsolved.  ...  (a) A comparison of the net portfolio performance per calendar year of the Min-Risk MV with the MSCI world Index; (b) A comparison of the net portfolio performance per calendar year of the MCD-MV with  ... 
doi:10.4236/jfrm.2022.113024 fatcat:ynjwpyrx5bgupb52gjkhj2x6sm

Performance Assessment and Model Validation of Two Industrial MPC Controllers

Hailei Jiang, Sirish L. Shah, Biao Huang, Bruce Wilson, Rohit Patwardhan, Foon Szeto
2008 IFAC Proceedings Volumes  
Model quality assessment for the two MPCs are performed. A new model index is proposed to have a measure of simulation ability and prediction ability of a model.  ...  This paper presents two case studies on the performance evaluation and model validation of two industrial multivariate model predictive control (MPC) based controllers at Suncor Energy Inc., Fort McMurray  ...  ACKNOWLEDGEMENT The authors are grateful for the financial support from the Natural Sciences and Engineering Research Council of Canada, Matrikon Inc., Suncor Energy Inc. and Informatics Circle of Research  ... 
doi:10.3182/20080706-5-kr-1001.01418 fatcat:5n72vbquzjagli22p2fr3p5ghi

Comparison between wet and dry lab in low-fidelity simulation of mitral valve surgery

A Hossien, I Khan, H Subhani, S Ashraf
2013 Journal of Cardiothoracic Surgery  
Methods We performed different MV repair techniques using MV models in a dry lab and porcine hearts in wet lab. The properties of materials used in both models were tested e.g tissue handling.  ...  Results The self 3D construction of MV is only possible in dry model, which will enhance the understanding of 3D complexity of MV components and allows creation of pathological models.  ...  Submit your next manuscript to BioMed Central and take full advantage of:  ... 
doi:10.1186/1749-8090-8-s1-p162 pmcid:PMC3845423 fatcat:bfb2h766j5gojchohtuskj7dje

A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations [article]

Mingkai Huang, Hao Li, Bing Bai, Chang Wang, Kun Bai, Fei Wang
2020 arXiv   pre-print
the recommendation performance by learning a federated model from multiple data source for capturing richer user-level features.  ...  In addition, their performance overhead w.r.t. model accuracy, trained in a federated setting, is often non-negligible comparing to centralized recommendations.  ...  Although FL-MV-DSSM is a content-based FedRec, we empirically found that aggregating gradients of item sub-model leads to better recommendation performance, comparing to only aggregating gradients of user  ... 
arXiv:2008.10808v1 fatcat:nxsmztc4grdadj3ayzvmsb3xiq
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