Stress Testing of Individual Steel Strands in a Multiple-Cable Single Borehole Anchorage for Geotechnical Engineering

2007 ◽  
Vol 340-341 ◽  
pp. 1351-1356
Author(s):  
Shao Jun Li ◽  
Xia Ting Feng ◽  
Bing Rui Chen
Keyword(s):  
Stress Testing ◽  
Stress Test ◽  
Metal Plate ◽  
New Method ◽  
Design Criteria ◽  
Steel Cable ◽  
Valuable Data ◽  
Future Design ◽  
Tensional Stress

Multiple-cable single borehole anchorages are widely used in China, accepted and regarded as a very effective method for slope protection, landslide remediation and foundation ditch support. This paper presents a new method for testing tensional stresses of individual steel strands within anchor cables in single boreholes. A rig has been designed to permit testing of cables within a single borehole, including two special features: a metal plate that distributes tension between strands of a cable and a sensing device that measures the stress in each individual strand. The feasibility of the method has been demonstrated by an in situ tensional stress test on anchor cables at a landslide remediation site that successfully measured the forces on individual steel strands fastened to different anchorage segments within a borehole. The steel cable strands displayed nonlinear extension characteristics; and the length of anchorage segments and grout strength met design criteria. The results confirm that this design of anchorage is satisfactory and can provide valuable data for future design and construction.

Stress-testing Russian Banking System: Will Banks Need Government Assistance Again?

2010 ◽  
pp. 61-81 ◽  
Author(s):  
O. Solntsev ◽  
A. Pestova ◽  
M. Mamonov
Keyword(s):  
Stress Testing ◽  
Banking Sector ◽  
Stress Test ◽  
Banking System ◽  
Government Assistance ◽  
Methodological Issues ◽  
Loan Portfolio ◽  
Macroeconomic Indicators ◽  
Remote Stress ◽  
Capital Injections

The article analyzes factors that affect growth of the share of non-performing loans in the loan portfolio of Russian banks and proposes approaches for this share forecasting on the basis of dynamics of macroeconomic indicators. It also deals with methodological issues of remote stress-test of lending agencies. Using the results of conducted stress-test of Russian banks the authors assess their perspective capital needs in 2010 and estimate the share of government assistance in capital injections. Furthermore, the authors define the scale of vulnerable banks groups in the Russian banking sector.

A new method for the in situ assay of α-glucosidase activity and inhibitor screening through an enzyme substrate-mediated DNA hybridization chain reaction

2019 ◽  
Vol 43 (24) ◽  
pp. 9458-9465
Author(s):  
Xiquan Yue ◽  
Lihong Su ◽  
Xu Chen ◽  
Junfeng Liu ◽  
Longpo Zheng ◽  
...  
Keyword(s):  
Small Molecule ◽  
Dna Hybridization ◽  
New Method ◽  
Hybridization Chain Reaction ◽  
Chain Reaction ◽  
Inhibitor Screening ◽  
Glucosidase Activity ◽  
Enzyme Substrate ◽  
In Situ Assay

The strategy is based on small molecule-mediated hybridization chain reaction.

scholarly journals Quality control stress test for deep learning-based diagnostic model in digital pathology

2021 ◽  
Author(s):  
Birgid Schömig-Markiefka ◽  
Alexey Pryalukhin ◽  
Wolfgang Hulla ◽  
Andrey Bychkov ◽  
Junya Fukuoka ◽  
...  
Keyword(s):  
Deep Learning ◽  
Cancer Detection ◽  
Stress Testing ◽  
Computational Analysis ◽  
Stress Test ◽  
Digital Pathology ◽  
Model Performance ◽  
Diagnostic Model ◽  
Model Accuracy ◽  
Diagnostic Models

AbstractDigital pathology provides a possibility for computational analysis of histological slides and automatization of routine pathological tasks. Histological slides are very heterogeneous concerning staining, sections’ thickness, and artifacts arising during tissue processing, cutting, staining, and digitization. In this study, we digitally reproduce major types of artifacts. Using six datasets from four different institutions digitized by different scanner systems, we systematically explore artifacts’ influence on the accuracy of the pre-trained, validated, deep learning-based model for prostate cancer detection in histological slides. We provide evidence that any histological artifact dependent on severity can lead to a substantial loss in model performance. Strategies for the prevention of diagnostic model accuracy losses in the context of artifacts are warranted. Stress-testing of diagnostic models using synthetically generated artifacts might be an essential step during clinical validation of deep learning-based algorithms.

scholarly journals In-Situ Measurement of Power Loss for Crystalline Silicon Modules Undergoing Thermal Cycling and Mechanical Loading Stress Testing

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 72
Author(s):  
Sergiu Spataru ◽  
Peter Hacke ◽  
Dezso Sera
Keyword(s):  
Thermal Cycling ◽  
Power Loss ◽  
Stress Testing ◽  
Series Resistance ◽  
Short Circuit ◽  
In Situ Measurement ◽  
Mechanical Degradation ◽  
Model Parameters ◽  
The Impact

An in-situ method is proposed for monitoring and estimating the power degradation of mc-Si photovoltaic (PV) modules undergoing thermo-mechanical degradation tests that primarily manifest through cell cracking, such as mechanical load tests, thermal cycling and humidity freeze tests. The method is based on in-situ measurement of the module’s dark current-voltage (I-V) characteristic curve during the stress test, as well as initial and final module flash testing on a Sun simulator. The method uses superposition of the dark I-V curve with final flash test module short-circuit current to account for shunt and junction recombination losses, as well as series resistance estimation from the in-situ measured dark I-Vs and final flash test measurements. The method is developed based on mc-Si standard modules undergoing several stages of thermo-mechanical stress testing and degradation, for which we investigate the impact of the degradation on the modules light I-V curve parameters, and equivalent solar cell model parameters. Experimental validation of the method on the modules tested shows good agreement between the in-situ estimated power degradation and the flash test measured power loss of the modules, of up to 4.31 % error (RMSE), as the modules experience primarily junction defect recombination and increased series resistance losses. However, the application of the method will be limited for modules experiencing extensive photo-current degradation or delamination, which are not well reflected in the dark I-V characteristic of the PV module.

A New Method of Finishing of Cotton Fabric by in Situ Synthesis of Silver Nanoparticles

2014 ◽  
Vol 53 (11) ◽  
pp. 4147-4155 ◽  
Author(s):  
Anna Bacciarelli-Ulacha ◽  
Edward Rybicki ◽  
Edyta Matyjas-Zgondek ◽  
Aleksandra Pawlaczyk ◽  
Malgorzata I. Szynkowska
Keyword(s):  
Silver Nanoparticles ◽  
Cotton Fabric ◽  
In Situ Synthesis ◽  
New Method

Abstract 363: Chest Pain Observation Unit: Does Post-Discharge Stress Testing Influence Physician Management Decisions?

2014 ◽  
Vol 7 (suppl_1) ◽  
Author(s):  
Yasser Khalil ◽  
Martin E Matsumura ◽  
Maida Abdul-Latif ◽  
Prasant Pandey ◽  
Melvin Schwartz
Keyword(s):  
Chest Pain ◽  
Risk Stratification ◽  
Stress Testing ◽  
Stress Test ◽  
Multivariate Regression Analysis ◽  
The United States ◽  
Observation Unit ◽  
Management Decisions ◽  
Post Discharge ◽  
Effective Manner

Background: Chest pain (CP) accounts for approximately 6 million emergency visits per year in the United States. There is growing interest in strategies to effectively risk stratify pts for coronary artery disease (CAD) related events in a cost-effective manner. The use of chest pain observation units followed by early stress testing is frequently employed in these pts. However the utility of stress testing in this population is not well defined, and the effect of stress test results on subsequent management decisions is a topic of controversy. In the present study we examined the relationship of stress myocardial perfusion imaging (MPI) results to physician decisions regarding ccath in a single community teaching hospital. Methods: Retrospective study of 426 pts undergoing a chest pain observation strategy over a 24 month period. Pt eligible for the program had CP deemed possibly related to CAD but no diagnostic ECG changes and negative TnI measurements x2. All pts underwent outpt. stress MPI within 72 hours of discharge. Pts saw a cardiologist the day of stress MPI who reviewed the CP history, MPI results, and made decisions regarding further risk stratification. Demographic and medical history was collected from the pts chest pain observation unit record. Multivariate regression analysis was used to determine significant independent variables related to physician decisions regarding further risk stratification. Results: Of 426 pts who underwent outpt stress MPI, 71(16.7%) were positive for ischemia, and 16 (22.5% of +MPI) underwent cath with reperfusion performed in 8 (5PCI, 3 CABG, 11.3% of +MPI). Of the 355 pts with negative stress MPI, 5(1.4% of -MPI) underwent cath with reperfusion performed in 2 (2PCI, 0 CABG, 0.5% of -MPI). A MLR model suggested only stress MPI results were independently predictive of the use of ccath for risk stratification. Conclusion: Stress MPI was an important factor in physician decision-making regarding the need for ccath in pts managed in a chest pain observation unit. The rate of +MPI and subsequent use of ccath in our institution supports MPI as an appropriate step in risk stratification of low to moderate risk CP pts triaged through a CP observation unit.

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