scholarly journals Application of the Non-linear Growth Models for Growth Rate of Body Weight in Satsuma Chicken

1993 ◽  
Vol 1993 (30) ◽  
pp. 21-30
Author(s):  
Hakuichi AKIMOTO
Keyword(s):  
Growth Rate ◽  
Body Weight ◽  
Linear Growth ◽  
Growth Models ◽  
Non Linear

Internal GIG Ecosystem in IT/ITeS Organisations for Non-linear Growth

2021 ◽  
pp. 232209372110132
Author(s):  
Debolina Dutta ◽  
Prem Mirchandani ◽  
K. P. Anasha
Keyword(s):  
Employee Satisfaction ◽  
Linear Growth ◽  
Growth Models ◽  
Global Scale ◽  
Growth Trajectory ◽  
It Services ◽  
Industry Growth ◽  
It Service ◽  
Significant Contributor ◽  
Non Linear

The Indian IT/ITeS industry is a significant contributor to India’s GDP and has had an impressive growth trajectory. However, it continues to be plagued with talent shortages, managing employee satisfaction, growth aspirations and reducing attrition. COVID-19 has presented an unprecedented opportunity for IT service organisations to transform the established paradigm of working. The industry has been exploring non-linear growth models that address the talent demand-supply gap. With skilled talent shortage continuing to limit the industry growth, non-linear initiatives of growth are urgently required. We propose a model of ‘Internal Gig’ worker (I-GIG) for the IT services industry. The new I-GIG workforce would be providing non-linear outcomes without increasing costs significantly. We also argue that this model would be motivational for employees who opt for it, with commensurate reward motivations to engage them. Additionally, this model would enable the workanywhere, anytime and leverage talent availability on a global scale.

scholarly journals Application of Non-linear Growth Curve Models to Body Weight in Egg-type Chicken.

1995 ◽  
Vol 32 (6) ◽  
pp. 394-401 ◽  
Author(s):  
Shunzo MIYOSHI ◽  
Mitsuyoshi SUZUKI ◽  
Takatsugu MITSUMOTO
Keyword(s):  
Body Weight ◽  
Growth Curve ◽  
Linear Growth ◽  
Growth Curve Models ◽  
Non Linear ◽  
Linear Growth Curve

A comparison of non-linear growth models for fisheries

1991 ◽  
Vol 11 (2) ◽  
pp. 143-154 ◽  
Author(s):  
Carol Pawlak ◽  
R. Choudary Hanumara
Keyword(s):  
Linear Growth ◽  
Growth Models ◽  
Non Linear

Non-Linear Corrosion Growth: A More Appropriate and Accurate Model for Predicting Corrosion Growth Rate

2016 ◽  
Author(s):  
M. Al-Amin ◽  
S. Kariyawasam ◽  
S. Zhang ◽  
W. Zhou
Keyword(s):  
Growth Rate ◽  
Case Studies ◽  
Growth Model ◽  
Measurement Errors ◽  
Linear Growth ◽  
Management Program ◽  
Linear Growth Rate ◽  
Metal Loss ◽  
Contributing Factors ◽  
Non Linear

External metal-loss corrosion is one of the major contributing factors for pipeline failures in North America. Corrosion growth rate plays a crucial role in managing corrosion hazard for gas and liquid pipelines. Quantifying the growth of corrosion over time is critically important for the risk and reliability analysis of pipelines, planning for corrosion mitigation and repair, and determination of time intervals for corrosion inspections. Conservatism in predicting the growth rate has significant engineering implication as non-conservatism can lead to critical anomalies being missed by mitigation actions and may cause pipeline failure; whereas, over conservatism can lead to unnecessary inspections and anomaly mitigations that may result in significant unnecessary cost to pipeline operators. As more and more pipelines are now being inspected by in-line inspection (ILI) tools on a regular basis, the ILI data from multiple inspections provide valuable information about the growth of corrosion anomalies on the pipeline. Although the application of linear growth rate calculated by comparing depths from two successive ILI is a common practice in the pipeline industry, research has shown that the growth of corrosion anomaly is non-linear and anomaly-specific. The authors of this paper have previously developed anomaly-specific non-linear corrosion growth model based on multiple ILI data. The objectives of this paper are to demonstrate the appropriateness of anomaly-specific non-linear corrosion growth model, and to illustrate the advantages of using non-linear corrosion growth model in the integrity management program. Two case studies were performed to illustrate the application of non-linear growth model by incorporating the measurement errors associated with the ILI tools, which include both the bias (constant and non-constant) and random scattering error. The findings of these case studies are presented in this paper.

scholarly journals Validity Test of Forecast Error of Wheat Yield through Non-Linear Growth Models in Bihar

2018 ◽  
Vol 7 (11) ◽  
pp. 321-326
Author(s):  
Awdhesh Kumar ◽  
Mahesh Kumar ◽  
Mrinmoy Ray ◽  
Avinash Kumar ◽  
Shweta Kumari ◽  
...  
Keyword(s):  
Linear Growth ◽  
Growth Models ◽  
Forecast Error ◽  
Wheat Yield ◽  
Validity Test ◽  
Non Linear

scholarly journals Prediction of COVID ‐19 active cases using exponential and non‐linear growth models

2020 ◽  
Author(s):  
Chandrakanta Mahanty ◽  
Raghvendra Kumar ◽  
Brojo Kishore Mishra ◽  
D. Jude Hemanth ◽  
Deepak Gupta ◽  
...  
Keyword(s):  
Linear Growth ◽  
Growth Models ◽  
Non Linear

Comparison of Non-linear Growth Models to Describe the Growth Behaviour of Deccani Sheep

2018 ◽  
Vol 7 (4) ◽  
pp. 490-494 ◽  
Author(s):  
Yogesh C. Bangar ◽  
Vinu S. Lawar ◽  
Ravindra G. Nimase ◽  
Charudatta A. Nimbalkar
Keyword(s):  
Linear Growth ◽  
Growth Models ◽  
Growth Behaviour ◽  
Non Linear

scholarly journals Theoretical wind clumping predictions of OB supergiants from line-driven instability simulations across the bi-stability jump

2019 ◽  
Vol 631 ◽  
pp. A172 ◽  
Author(s):  
F. A. Driessen ◽  
J. O. Sundqvist ◽  
N. D. Kee
Keyword(s):  
Growth Rate ◽  
Mass Loss ◽  
Linear Growth ◽  
Massive Stars ◽  
Linear Growth Rate ◽  
Linear Perturbation ◽  
Lower Growth ◽  
Lower Velocity ◽  
Non Linear ◽  
Loss Rates

Context. The behaviour of mass loss across the so-called bi-stability jump, where iron recombines from Fe IV to Fe III, is a key uncertainty in models of massive stars. Specifically, while an increase in mass loss is theoretically predicted, this has not yet been observationally confirmed. However, radiation-driven winds of hot massive stars are known to exhibit clumpy structures triggered by the line-deshadowing instability (LDI). This wind clumping severely affects empirical mass-loss rates inferred from ρ2-dependent spectral diagnostics. Thus, if clumping properties differ significantly for O and B supergiants across the bi-stability jump, this may help alleviate current discrepancies between theory and observations. Aims. We investigated with analyt ical and numerical tools how the onset of clumpy structures behave in the winds of O supergiants (OSG) and B supergiants (BSG) across the bi-stability jump. Methods. We derived a scaling relation for the linear growth rate of the LDI for a single optically thick line and applied it in the OSG and BSG regime. We ran 1D time-dependent line-driven instability simulations to study the non-linear evolution of the LDI in clumpy OSG and BSG winds. Results. Linear perturbation analysis for a single line shows that the LDI linear growth rate Ω scales strongly with stellar effective temperature and terminal wind speed: Ω∝v∞2Teff4. This implies significantly lower growth rates for (the cooler and slower) BSG winds than for OSG winds. This is confirmed by the non-linear simulations, which show significant differences in OSG and BSG wind structure formation, with the latter characterized by significantly weaker clumping factors and lower velocity dispersions. This suggests that lower correction factors due to clumping should be employed when deriving empirical mass-loss rates for BSGs on the cool side of the bi-stability jump. Moreover, the non-linear simulations provide a theoretical background towards explaining the general lack of observed intrinsic X-ray emission in single B-star winds.

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