The role of experimental validation in achieving reliable measurement data with applied FBG strain sensors

Measurement data can be used for decision support in multiple ways – from one-time, manual data collection/presentation (reporting) through flexible business intelligence solutions to online, automated measurement systems. In centralized organizations, the measurement data is often collected through reporting, but the trends in modern organizations with empowered teams, globalized development, and needs to monitor continuously longer supply chains requires shift in the design and use of measurement systems. In this chapter, we present a study of evolving measurement systems at three companies with global businesses – Ericsson, Volvo Cars, and Axis Communications. The results of the study include the identification of the timeline of the evolution, distinct generations of measurement systems and information needs in the different phases of the evolution. The experiences show how to evolve centralized decision support systems to support global and distributed decision support.

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SUN-025 The role of fumarate in PLA2R-associated membranous nephropathy: urine metabolomic analysis and experimental validation

Kidney International Reports ◽

10.1016/j.ekir.2019.05.420 ◽

2019 ◽

Vol 4 (7) ◽

pp. S162-S163

Author(s):

H.A. Jo ◽

J.S. Hyeon ◽

S.H. Yang ◽

Y. Kim ◽

H. Lee ◽

...

Keyword(s):

Membranous Nephropathy ◽

Experimental Validation ◽

Metabolomic Analysis

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Investigation into the role of Stmn2 in vascular smooth muscle phenotype transformation during vascular injury via RNA sequencing and experimental validation

Environmental Science and Pollution Research ◽

10.1007/s11356-021-15846-7 ◽

2021 ◽

Author(s):

Xiao Ke ◽

Wenyu Guo ◽

Yanren Peng ◽

Zongming Feng ◽

Yi-teng Huang ◽

...

Keyword(s):

Smooth Muscle ◽

Vascular Smooth Muscle ◽

Rna Sequencing ◽

Vascular Injury ◽

Experimental Validation ◽

Phenotype Transformation

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Policy Narratives of Accountability and Social-Emotional Learning

Educational Policy ◽

10.1177/0895904820904729 ◽

2020 ◽

pp. 089590482090472

Author(s):

Taylor N. Allbright ◽

Julie A. Marsh

Keyword(s):

Educational Policy ◽

Social Emotional Learning ◽

Measurement Data ◽

Emotional Learning ◽

Social Emotional ◽

Accountability System ◽

Multiple Measure ◽

Policy Narratives

The paradigm of test-based accountability has been a dominant force for decades, yet some argue that we have recently witnessed a dramatic change in the key beliefs influencing educational policy. To understand the extent of this transformation, we investigated the policy narrative supporting the adoption of a multiple measure accountability system in California’s CORE Districts. Our data revealed a narrative integrating key beliefs about knowledge, accountability, and social-emotional learning. This narrative continues the major themes of the previous accountability paradigm, but with two notable differences regarding the use of measurement data and role of social-emotional learning.

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CFD Analysis of Industrial Gas Turbine Exhaust Diffusers

Volume 5: Turbo Expo 2002, Parts A and B ◽

10.1115/gt2002-30597 ◽

2002 ◽

Cited By ~ 4

Author(s):

V. Vassiliev ◽

S. Irmisch ◽

S. Florjancic

Keyword(s):

Gas Turbine ◽

Measurement Data ◽

Turbulence Models ◽

Cfd Analysis ◽

Cfd Modelling ◽

Gas Turbine Exhaust ◽

Key Aspects ◽

Industrial Gas Turbine ◽

Turbine Exhaust

The key aspects for the reliable CFD modelling of exhaust diffusers are addressed in this paper. In order to identify adequate turbulence models a number of 2D diffuser configurations have been simulated using different turbulence models and results have been compared with measurements. An automated procedure for a time- and resource-efficient and accurate prediction of complex diffuser configuration is presented. The adequate definitions of boundary conditions for the diffuser simulation using this procedure are discussed. In the second part of this paper, the CFD procedure is being applied to investigate the role of secondary flow on axial diffusers. Prediction results are discussed and compared with available measurement data.

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