Article Recommender for Feed Readers with a Loss Compensation Based on the TF-IDF Weight

2010 ◽  
Author(s):  
Daichi Yokota ◽  
Satoshi Fujita
Keyword(s):  
Loss Compensation

The Psychological and Financial Impact of Cybercrime Victimization: A Novel Application of the Shattered Assumptions Theory

2021 ◽  
pp. 089443932098382
Author(s):  
Jildau Borwell ◽  
Jurjen Jansen ◽  
Wouter Stol
Keyword(s):  
Negative Impact ◽  
Secondary Analysis ◽  
Well Being ◽  
Policy Implications ◽  
Financial Impact ◽  
Financial Loss ◽  
Data Set ◽  
Loss Compensation ◽  
Shattered Assumptions ◽  
The Impact

While criminality is digitizing, a theory-based understanding of the impact of cybercrime on victims is lacking. Therefore, this study addresses the psychological and financial impact of cybercrime on victims, applying the shattered assumptions theory (SAT) to predict that impact. A secondary analysis was performed on a representative data set of Dutch citizens ( N = 33,702), exploring the psychological and financial impact for different groups of cybercrime victims. The results showed a higher negative impact on emotional well-being for victims of person-centered cybercrime, victims for whom the offender was an acquaintance, and victims whose financial loss was not compensated and a lower negative impact on emotional well-being for victims with a higher income. The study led to novel scientific insights and showed the applicability of the SAT for developing hypotheses about cybercrime victimization impact. In this study, most hypotheses had to be rejected, leading to the conclusion that more work has to be done to test the applicability of the SAT in the field of cybercrime. Furthermore, policy implications were identified considering the prioritization of and approach to specific cybercrimes, treatment of victims, and financial loss compensation.

A pixelated 3D Auger camera with light-loss compensation

1999 ◽  
Vol 46 (4) ◽  
pp. 973-978 ◽  
Author(s):  
J.G. Rogers ◽  
P. Gumplinger
Keyword(s):  
Loss Compensation ◽  
Light Loss

Loss compensation during subwavelength propagation of enhanced second-harmonic generation signals in a hybrid plasmonic waveguide

2018 ◽  
Vol 2 (3) ◽  
pp. 491-496 ◽  
Author(s):  
Xianqing Lin ◽  
Jian Ye ◽  
Yongli Yan ◽  
Haiyun Dong ◽  
Jianmin Gu ◽  
...  
Keyword(s):  
Second Harmonic Generation ◽  
Long Range ◽  
Harmonic Generation ◽  
Second Harmonic ◽  
Plasmonic Waveguide ◽  
Hybrid Plasmonic Waveguide ◽  
Loss Compensation

Subwavelength confinement and long-range propagation of enhanced second-harmonic generation signals was realized in a hybrid plasmonic waveguide.

Tunable BST capacitor loss compensation using active circuit

2006 ◽  
Vol 16 (10) ◽  
pp. 549-551 ◽  
Author(s):  
M.A. Ahmad ◽  
N. Rolland ◽  
P.-A. Rolland
Keyword(s):  
Loss Compensation ◽  
Active Circuit

scholarly journals Uncertainty Simulation of Wood Chipping Operation for Bioenergy Based on Queuing Theory

Forests ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 822
Author(s):  
Yoshida ◽  
Takata
Keyword(s):  
Supply Chain ◽  
Moisture Content ◽  
Queuing Theory ◽  
Wood Chip ◽  
Stochastic Modelling ◽  
Simulation Method ◽  
Daily Production ◽  
Deterministic Simulation ◽  
Loss Compensation ◽  
Truck Arrival

Managing uncertainty is the way to secure stability of the supply chain. Uncertainty within chipping operation and chip transportation causes production loss. In the wood chip supply chain for bioenergy, operational uncertainty mainly appears in the moisture content of the material, chipping productivity, and the interval of truck arrival. This study theoretically quantified the loss in wood chip production by applying queuing theory and stochastic modelling. As well as the loss in production, the inefficiency was identified as the idling time of chipper and the queuing time of trucks. The aim of this study is to quantify the influence of three uncertainties on wood chip production. This study simulated the daily chip production using a mobile chipper by applying queuing theory and stochastic modelling of three uncertainties. The result was compared with the result of deterministic simulation which did not consider uncertainty. Uncertainty reduced the production by 14% to 27% compared to the production of deterministic simulation. There were trucks scheduled but not used. The cases using small trucks show the largest daily production amount, but their lead time was the longest. The large truck was sensitive to the moisture content of material because of the balance between payload and volumetric capacity. This simulation method can present a possible loss in production amount and enables to evaluate some ways for the loss compensation quantitatively such as outsourcing or storing buffer. For further development, the data about the interval of truck arrival should be collected from fields and analyzed. We must include the other uncertainties causing technical and operator delays.

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