scholarly journals Psychological Response Data on the Traumatic Nature of 600 Written Events

2021 ◽  
Vol 9 (1) ◽  
pp. 3
Author(s):  
Payton J. Jones ◽  
Benjamin W. Bellet ◽  
David E. Levari ◽  
Richard J. McNally
Keyword(s):  
Psychological Response ◽  
Response Data

Computer Simulation of Amperometric Biosensor Response to Mixtures of Compounds

2002 ◽  
Vol 7 (2) ◽  
pp. 3-14 ◽  
Author(s):  
R. Baronas ◽  
J. Christensen ◽  
F. Ivanauskas ◽  
J. Kulys
Keyword(s):  
Computer Simulation ◽  
Enzymatic Reaction ◽  
Diffusion Equations ◽  
Response Data ◽  
Finite Difference Technique ◽  
Stationary Diffusion ◽  
Biosensor Array ◽  
Menten Kinetic ◽  
Biosensor Response

A mathematical model of amperometric biosensors has been developed. The model bases on non-stationary diffusion equations containing a non-linear term related to Michaelis-Menten kinetic of the enzymatic reaction. The model describes the biosensor response to mixtures of multiple compounds in two regimes of analysis: batch and flow injection. Using computer simulation, large amount of biosensor response data were synthesised for calibration of a biosensor array to be used for characterization of wastewater. The computer simulation was carried out using the finite difference technique.

Data-driven I-PD Gain Tuning using Closed-loop Step Response Data

2019 ◽  
Vol 139 (8) ◽  
pp. 882-888
Author(s):  
Shiro Masuda ◽  
Jongho Park ◽  
Yoshihiro Matsui
Keyword(s):  
Closed Loop ◽  
Data Driven ◽  
Step Response ◽  
Response Data

Mode-Based Controller Design for Hammerstein Models Using Closed-Loop Tranjent Response Data

2016 ◽  
Vol 136 (5) ◽  
pp. 625-632
Author(s):  
Yoshihiro Matsui ◽  
Hideki Ayano ◽  
Shiro Masuda ◽  
Kazushi Nakano
Keyword(s):  
Closed Loop ◽  
Controller Design ◽  
Response Data ◽  
Hammerstein Models

Thermal Imaging Product Power-up: Metrology for Capturing Thermal Defects on Live Units Not Visible on Any Other Technique

2005 ◽  
Author(s):  
Nova T. Zamora ◽  
Kam Meng Chong ◽  
Ashish Gupta
Keyword(s):  
Thermal Imaging ◽  
Thermal Response ◽  
Recent Application ◽  
Ir Camera ◽  
Thermal Failure ◽  
Response Data ◽  
Startup Process ◽  
Customer Returns ◽  
Actual Computer ◽  
Detection Of Defects

Abstract This paper presented the recent application of die powerup in Thermal Imaging as applied to the detection of defects causing thermal failure on revenue products or units not being captured using other available techniques. Simulating the condition on an actual computer setup, the infrared (IR) camera should capture images simultaneously as the entire bootup process is being executed by the processor, thus revealing a series of images and thermal information on each and every step of the startup process. This metrology gives the failure analyst a better approach to acquire a set of information that substantiate in the conduct of rootcause analysis of thermal-related failure in revenue units, especially on customer returns. Defective units were intentionally engineered in order to collect the thermal response data and eventually come up with a plot of all known thermal-related defects.

The Consequences of Accounting Failure for Innovation: A Multi-Level Analysis

2020 ◽  
Vol 34 (2) ◽  
pp. 109-124
Author(s):  
Megan F. Hess ◽  
Andrew M. Hess
Keyword(s):  
Firm Level ◽  
Psychological Response ◽  
Top Executives ◽  
Innovation Activities ◽  
Threat Rigidity ◽  
Multi Level ◽  
Multiple Levels ◽  
Financial Misconduct ◽  
Public Disclosures ◽  
Level Analysis

SYNOPSIS In this study, we investigate the relation between accounting failure and innovation at multiple levels in an organization by developing and testing a model for how top executives and functional managers might change their risk preferences and their innovation investments in response to public disclosures of financial misconduct. At the firm level, we find that accounting failures reduce subsequent investments in R&D, as predicted by a threat rigidity (“play it safe”) psychological response among top executives. At the project level, accounting failures have the opposite effect, resulting in an increase in the number of exploratory projects, as predicted by a failure trap (“swing for the fences”) psychological response among functional managers. Unpacking this relation at multiple levels of analysis helps us to understand the complex ways in which financial misconduct shapes a firm's innovation activities and appreciate the far-reaching consequences of accounting failure.

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