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 ◽  
...  
Author(s):  
Debolina Dutta ◽  
Prem Mirchandani ◽  
K. P. Anasha

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.


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

Author(s):  
Awdhesh Kumar ◽  
Mahesh Kumar ◽  
Mrinmoy Ray ◽  
Avinash Kumar ◽  
Shweta Kumari ◽  
...  

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

Author(s):  
Adil Bakoglu ◽  
Senol Celik ◽  
Kagan Kokten ◽  
Omer Kilic

In this study, the ais is to determine the best model for plant length, dry stem and dry leaf weight in different species of bitter vetch by using non-linear growth models. In the study, IFVE 3977-SEL 2802, HAT-14, IFVE 3977-SEL 2802 and Mardin Population bitter vetch species were used as materials. Bertalanffy, Logistic, and Gompertz models were used. At the end of the study, the best models identifying plant length of bitter vetch Logistic in IFVE 3977-SEL 2802 species and Bertalanffy model in IFVE 3351-SEL 2804, HAT-14 and Mardin Population species. Dry stem weight was identified best with Logistic model in IFVE 3977-SEL 2802 and HAT-14 species, Bertalanffy model in IFVE 3351-SEL 2804 and Gompertz model in Mardin population species. Dry leaf weight was identified best with Gompertz model in IFVE 3977-SEL 2802 and Mardin Population, Logistic model in IFVE 3351-SEL 2804 and HAT 14 species.


animal ◽  
2008 ◽  
Vol 2 (7) ◽  
pp. 1003-1012 ◽  
Author(s):  
A.B. Gbangboche ◽  
R. Glele-Kakai ◽  
S. Salifou ◽  
L.G. Albuquerque ◽  
P.L. Leroy

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