scholarly journals Condensations and Cavities

1983 ◽  
Vol 104 ◽  
pp. 217-217
Author(s):  
F. Occhionero ◽  
P. Santangelo ◽  
N. Vittorio
Keyword(s):  
Spherical Symmetry ◽  
Linear Growth ◽  
Non Linear ◽  
Unified Algorithm ◽  
Hubble Flow

We present a unified algorithm which describes the non-linear growth 1) of condensations surrounded by cavities or 2) of cavities surrounded by condensations (i.e. ridges of higher density) in the Hubble flow. The main idealization is that of pressureless spherical symmetry (Tolman-Bondi solution); overall algebraic details and results for problem 1) are given in previous work (Occhionero, et al., 1981 a and b); results for problem 2) will be given elsewhere (Occhionero, et al., 1982).

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.

Bucking the Trend: A Look at Zyme Solutions' Non-linear Business Model for IT Services from India

2011 ◽  
Vol 15 (01) ◽  
pp. 37-62 ◽  
Author(s):  
D.V.R. Seshadri
Keyword(s):  
Business Model ◽  
Service Provider ◽  
Business Models ◽  
Linear Growth ◽  
High Tech ◽  
Data Service ◽  
It Services ◽  
Software Companies ◽  
Non Linear ◽  
Vertical Market

The case describes XGen Technologies (name disguised), an India-based IT Enabled Services (ITES) company having to grapple with the issues of linear growth. The company's headcount had touched a whopping 40,000 and managing such a large setup was becoming a severe challenge, putting immense pressure on Partha Sen, the CEO, to adopt an innovative business model to sustain historical growth rates of revenue and profitability. This situation was similar to what most Indian ITES companies faced: they had been clocking impressive growth, yet there were concerns about the future. The case then describes some of the strategies that software companies have been adopting in order to achieve greater non-linearity in their business. In particular, the case concentrates on Zyme Solutions, Inc., a fully outsourced hosted data service provider to the high-tech vertical market, which has built as a non-linear business from the ground up, without the legacy of the linear business models to contend with. Students are put in the place of Partha Sen, having to decide on an approach that established companies like XGen could adopt to transit to a non-linear model.

Non-linear growth trends of toe flexor muscle strength among children, adolescents, and young adults: a cross-sectional study

2018 ◽  
Vol 118 (5) ◽  
pp. 1003-1010 ◽  
Author(s):  
Noriteru Morita ◽  
Junichiro Yamauchi ◽  
Ryosuke Fukuoka ◽  
Toshiyuki Kurihara ◽  
Mitsuo Otsuka ◽  
...  
Keyword(s):  
Young Adults ◽  
Muscle Strength ◽  
Linear Growth ◽  
Cross Sectional Study ◽  
Adolescents And Young Adults ◽  
Sectional Study ◽  
Flexor Muscle ◽  
Cross Sectional ◽  
Growth Trends ◽  
Non Linear

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

An assessment of the relationship between tree-ring counts and basal girth of high-altitude populations of Eucalyptus pauciflora (Myrtaceae)

2009 ◽  
Vol 57 (7) ◽  
pp. 583 ◽  
Author(s):  
Libby Rumpff ◽  
Seraphina C. Cutler ◽  
Ian Thomas ◽  
John W. Morgan
Keyword(s):  
High Altitude ◽  
National Park ◽  
Linear Growth ◽  
Growth Ring ◽  
Tree Line ◽  
Growth Rings ◽  
Regression Methods ◽  
Ski Resorts ◽  
Non Linear ◽  
The Relationship

We investigated the relationship between the number of growth rings (a surrogate for approximate age of stems) and basal girth for Eucalyptus pauciflora (Maiden & Blakely) L.A.S.Johnson & Blaxell. Using basal-girth measurements and growth-ring counts obtained from trees felled on ski slopes at three Victorian alpine ski resorts, as well as seedlings destructively sampled from near the tree line on four summits, we modelled the relationship between growth rings and basal girth by using simple linear and non-linear regression methods. We compared our data to growth-ring–basal-girth data collected from low- and high-altitude E. pauciflora woodland stands in Kosciuszko National Park. The relationship between the number of tree rings and basal girth at Victorian sites was non-linear (growth rings = 3.62 × girth0.63, R2 = 0.96). In general, the Victorian and Kosciuszko datasets were in broad agreement, although caution is required when attempting to estimate the age of trees with >115-cm girth. We suggest that the model we have developed can be combined with dendrological techniques to estimate the age of older trees accurately.

Computer Analysis of Non-Linear Growth Equations

1978 ◽  
pp. 135-142
Author(s):  
V. A. Konoplev ◽  
A. I. Zotin ◽  
E. A. Prokofiev ◽  
N. Sh. Shagimordanov
Keyword(s):  
Computer Analysis ◽  
Linear Growth ◽  
Non Linear ◽  
Growth Equations
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