scholarly journals Medium Term Outcomes of Stemless, Ceramic Head, Anatomic Shoulder Replacement in Patients With Type B and C Glenoids. Results Better Than Expected

2019 ◽  
Vol 3 (4) ◽  
pp. 258
Author(s):  
Simon Bell ◽  
Jennifer Coghlan ◽  
Gray Edwards
Keyword(s):  
Ceramic Head ◽  
Type B ◽  
Medium Term ◽  
Shoulder Replacement ◽  
Better Than

Artificial neural network-based seismic detector

1995 ◽  
Vol 85 (1) ◽  
pp. 308-319 ◽  
Author(s):  
Jin Wang ◽  
Ta-Liang Teng
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Input Data ◽  
Seismic Event ◽  
Signal To Noise Ratio ◽  
Type B ◽  
Earthquake Detection ◽  
Seismic Event Detection ◽  
Artificial Neural ◽  
Better Than

Abstract An artificial neural network-based pattern classification system is applied to seismic event detection. We have designed two types of Artificial Neural Detector (AND) for real-time earthquake detection. Type A artificial neural detector (AND-A) uses the recursive STA/LTA time series as input data, and type B (AND-B) uses moving window spectrograms as input data to detect earthquake signals. The two AND's are trained under supervised learning by using a set of seismic recordings, and then the trained AND's are applied to another set of recordings for testing. Results show that the accuracy of the artificial neural network-based seismic detectors is better than that of the conventional algorithms solely based on the STA/LTA threshold. This is especially true for signals with either low signal-to-noise ratio or spikelike noises.

scholarly journals Extreme Learning Machine for the Predictions of Length of Day

2015 ◽  
Vol 50 (1) ◽  
pp. 19-33
Author(s):  
Lei Yu ◽  
Danning Zhao ◽  
Hongbing Cai
Keyword(s):  
Extreme Learning Machine ◽  
Prediction Methods ◽  
Length Of Day ◽  
Ocean Tides ◽  
Medium Term ◽  
Reduced Complexity ◽  
Learning Machine ◽  
Atmospheric Variations ◽  
High Computational Efficiency ◽  
Better Than

Abstract This work presents short- and medium-term predictions of length of day (LOD) up to 500 days by means of extreme learning machine (ELM). The EOP C04 time-series with daily values from the International Earth Rotation and Reference Systems Service (IERS) serve as the data basis. The influences of the solid Earth and ocean tides and seasonal atmospheric variations are removed from the C04 series. The residuals are used for training of the ELM. The results of the prediction are compared with those from other prediction methods. The accuracy of the prediction is equal to or even better than that by other approaches. The most striking advantages of employing ELM instead of other algorithms are its noticeably reduced complexity and high computational efficiency.

Endovascular treatment of descending aortic dissection (type B): short- and medium-term results

2008 ◽  
Vol 101 (2) ◽  
pp. 94-99 ◽  
Author(s):  
E. Flecher ◽  
P. Cluzel ◽  
N. Bonnet ◽  
S. Aubert ◽  
A. Gaubert ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Endovascular Treatment ◽  
Type B ◽  
Medium Term

scholarly journals CKV-type $ B $-matrices and error bounds for linear complementarity problems

2021 ◽  
Vol 6 (10) ◽  
pp. 10846-10860
Author(s):  
Xinnian Song ◽  
◽  
Lei Gao
Keyword(s):  
Error Bound ◽  
Complementarity Problems ◽  
Linear Complementarity Problems ◽  
Linear Complementarity ◽  
Type B ◽  
Numerical Examples ◽  
Infinity Norm ◽  
Norm Bound ◽  
Special Case ◽  
Better Than

<abstract><p>In this paper, we introduce a new subclass of $ P $-matrices called Cvetković-Kostić-Varga type $ B $-matrices (CKV-type $ B $-matrices), which contains DZ-type-$ B $-matrices as a special case, and present an infinity norm bound for the inverse of CKV-type $ B $-matrices. Based on this bound, we also give an error bound for linear complementarity problems of CKV-type $ B $-matrices. It is proved that the new error bound is better than that provided by Li et al. <sup>[<xref ref-type="bibr" rid="b24">24</xref>]</sup> for DZ-type-$ B $-matrices, and than that provided by M. García-Esnaola and J.M. Peña <sup>[<xref ref-type="bibr" rid="b10">10</xref>]</sup> for $ B $-matrices in some cases. Numerical examples demonstrate the effectiveness of the obtained results.</p></abstract>

Medium-term Results of the STABILISE Technique in type B Acute Aortic Dissections in Patients Having a Marfan Disease

2018 ◽  
Vol 53 ◽  
pp. 13
Author(s):  
Elsa Faure ◽  
Salma El Batti ◽  
Marwan Abou Rjeili ◽  
Paul Achouh ◽  
Pierre Julia ◽  
...  
Keyword(s):  
Type B ◽  
Medium Term ◽  
Aortic Dissections

scholarly journals How To Find The Right Subdivision Into Tariff Classes

1975 ◽  
Vol 8 (2) ◽  
pp. 257-263 ◽  
Author(s):  
H. Schmitter ◽  
E. Straub
Keyword(s):  
A Priori ◽  
Statistical Criterion ◽  
Loss Ratio ◽  
Expected Loss ◽  
Type B ◽  
Insurance Portfolio ◽  
The Right ◽  
Number Of Classes ◽  
Vague Statement ◽  
Better Than

By intuition, the subdivision of an insurance portfolio into a number of classes is said to be good if it reflects the heterogeneity of the portfolio in an efficient way. To illustrate this rather vague statement we take the following very simple example:The portfolio consists of 20 independent risks, 10 of them producing an expected loss ratio of say 30% each (type A risks) and 80% each (type B risks) respectively.This “natural” subdivision is certainly better than, for instance, no subdivision at all;or, the finest possible subdivision with 20 classes consisting of only 1 risk each (because there is no point in differentiating between risks of the same type);or, 5 classes each containing two A- and two B-risks (here the number of classes is unnecessarily high and the heterogeneity has been completely wiped out; statistics based on this subdivision would even make us believe that the portfolio is totally homogeneous).As a matter of fact, the above “natural” subdivision is—of course!—the best of all subdivisions, it is the optimal subdivision in this case.In practice, however, as we all know, it is not easy to find the optimal subdivision. For one thing, the inherent structure or “natural” subdivision is not known a priori and secondly, for many different reasons, we can only choose from a limited number of subdivisions and not from all theoretically possible solutions. Note that even with only 20 risks there are 58.1012 possibilities of subdividing the portfolio. Thus, in practice, there is only a relatively small number of admissible subdivisions and the optimal one may not be among them, but we still need some sort of statistical criterion to choose the best one from these admissible subdivisions.

scholarly journals Medium-Term Results of Treatment for Complicated Acute Type B Dissection: A Spanish Experience in a Single Centre

2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Jesus Alvarez-Garcia ◽  
Stefan Stefanov Kiuri ◽  
Alvaro Fernandez Heredero ◽  
Andres Salazar Alvarez ◽  
Nieves Aleicel Concepcion Rodriguez ◽  
...  
Keyword(s):  
Endovascular Treatment ◽  
Hypertensive Crisis ◽  
Type I ◽  
Acute Type ◽  
Type B ◽  
Medium Term ◽  
Results Of Treatment ◽  
Type B Dissection ◽  
Type I Endoleak

Objective. To analyze and evaluate medium-term results obtained in endovascular treatment of complicated type B dissection. Methods. Prospective registry and retrospective analysis of the dissections treated with endoprosthesis in 1998 and 2010. Comorbidity, clinical presentation, anatomical characteristics, and evolution were recorded. Actuarial analysis was conducted for survival, follow-up and survival free of endoleaks, and free of reintervention due to relapse and/or progression. Results. Eighteen (18) patients were treated (14 male : 4 female), with a median age of 53 years (range 29–80). Their main symptoms were acute pain in 16 cases and hypertensive crisis in 15. The indications were 10 dissections not controlled by medication, 4 aneurysm dissecans, 2 acute lower limb ischemias, and 2 Type A progressions. Median 1.7 devices were used (range 1–4). Coverage of left subclavian artery was required in 3 cases, and of subclavian and left carotid artery in other 2 cases. There was a 100% technical success. Median follow-up was 43.1 months (1.5–127 range). There were two deaths caused by multiorganic failure, early mortality of 0%, and hospital mortality of 11%. There was a case of Type I Endoleak and 5 cases which required a new intervention due to relapse and/or progression. Cumulative survival at 30 months was 88%; follow-up free of endoleaks at 36 months was 91%. Follow-up free of progression/relapse at 12 months was 88%. Conclusion. Endovascular treatment of complicated type B acute dissection is an effective therapy for this condition, with a low associated mortality and with acceptable survival.

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