FirstCry: A Hybrid Store Strategy Creating Big Wonders!

2021 ◽  
Vol 18 (2) ◽  
pp. 160-168
Author(s):  
Roshan Raju ◽  
Sagar Bhadange ◽  
Sandip Rakshit
Keyword(s):  
Hybrid Model ◽  
Birth Rate ◽  
Disposable Income ◽  
Young Parents ◽  
Major Decision

On May 17, 2010, Supam Maheshwari and Amitava Saha founded BrainBees Solution with a seed capital of US$39.01 million, which led to the launch of the e-commerce site FirstCry.com. An online e-commerce website that offers all kinds of baby and kids-focused products from diaper pins to strollers. The global and Indian baby care market has seen huge growth in the last few years. It is estimated that by the year 2020, the projected growth of this market will be over 17%. The rising birth rate and disposable income of young parents have also favoured the growth of baby care products. In a country like India, the mortar and brick stores held the major share of the baby care products market. Supam Maheshwari was in the midst of a major decision, but he was faced with some questions. Would he be able to design a unique hybrid model? Would this model help them compete with mortar and brick stores? Would FirstCry be able to build an ecosystem to provide solutions to parents? What strategy should FirstCry adapt for long-term success?

A New Look at the Asian Fertility Transition (Distinguishedl Lecture)

1996 ◽  
Vol 35 (4I) ◽  
pp. 385-398 ◽  
Author(s):  
John C. Caldwell
Keyword(s):  
Total Fertility Rate ◽  
Birth Rate ◽  
Fertility Transition ◽  
Fertility Rate ◽  
Asian Women ◽  
Population Replacement ◽  
Planning Meeting ◽  
Annual Birth Rate

The significance of the Asian fertility transition can hardly be overestimated. The relatively sanguine view of population growth expressed at the 1994 International Conference for Population and Development (ICPD) in Cairo was possible only because of the demographic events in Asia over the last 30 years. In 1965 Asian women were still bearing about six children. Even at current rates, today’s young women will give birth to half as many. This measure, namely the average number of live births over a reproductive lifetime, is called the total fertility rate. It has to be above 2— considerably above if mortality is still high—to achieve long-term population replacement. By 1995 East Asia, taken as a whole, exhibited a total fertility rate of 1.9. Elsewhere, Singapore was below long-term replacement, Thailand had just achieved it, and Sri Lanka was only a little above. The role of Asia in the global fertility transition is shown by estimates I made a few years ago for a World Bank Planning Meeting covering the first quarter of a century of the Asian transition [Caldwell (1993), p. 300]. Between 1965 and 1988 the world’s annual birth rate fell by 22 percent. In 1988 there would have been 40 million more births if there had been no decline from 1965 fertility levels. Of that total decline in the world’s births, almost 80 percent had been contributed by Asia, compared with only 10 percent by Latin America, nothing by Africa, and, unexpectedly, 10 percent by the high-income countries of the West. Indeed, 60 percent of the decline was produced by two countries, China and India, even though they constitute only 38 percent of the world’s population. They accounted, between them, for over threequarters of Asia’s fall in births.

scholarly journals Prediction of Genetic Contributions and Generation Intervals in Populations With Overlapping Generations Under Selection

Genetics ◽  
1999 ◽  
Vol 151 (3) ◽  
pp. 1197-1210 ◽  
Author(s):  
Piter Bijma ◽  
John A Woolliams
Keyword(s):  
Gene Flow ◽  
Overlapping Generations ◽  
Selective Advantage ◽  
Turnover Time ◽  
Breeding Value ◽  
Age Classes ◽  
Generation Interval ◽  
Young Parents ◽  
Genetic Contributions

Abstract A method to predict long-term genetic contributions of ancestors to future generations is studied in detail for a population with overlapping generations under mass or sib index selection. An existing method provides insight into the mechanisms determining the flow of genes through selected populations, and takes account of selection by modeling the long-term genetic contribution as a linear regression on breeding value. Total genetic contributions of age classes are modeled using a modified gene flow approach and long-term predictions are obtained assuming equilibrium genetic parameters. Generation interval was defined as the time in which genetic contributions sum to unity, which is equal to the turnover time of genes. Accurate predictions of long-term genetic contributions of individual animals, as well as total contributions of age classes were obtained. Due to selection, offspring of young parents had an above-average breeding value. Long-term genetic contributions of youngest age classes were therefore higher than expected from the age class distribution of parents, and generation interval was shorter than the average age of parents at birth of their offspring. Due to an increased selective advantage of offspring of young parents, generation interval decreased with increasing heritability and selection intensity. The method was compared to conventional gene flow and showed more accurate predictions of long-term genetic contributions.

Hybrid approach combining EMD, ARIMA and monte carlo for multi-step ahead medical tourism forecasting

2021 ◽  
pp. 1-17
Author(s):  
Nuzhat Fatema ◽  
H Malik ◽  
Mutia Sobihah Binti Abd Halim
Keyword(s):  
Monte Carlo ◽  
Hybrid Model ◽  
Medical Tourism ◽  
Moving Average ◽  
Hybrid Approach ◽  
Mode Decomposition ◽  
Hybrid Forecasting ◽  
Input Variables ◽  
Intelligent Approach

This paper proposed a hybrid intelligent approach based on empirical mode decomposition (EMD), autoregressive integrated moving average (ARIMA) and Monte Carlo simulation (MCS) methods for multi-step ahead medical tourism (MT) forecasting using explanatory input variables based on two decade real-time recorded database. In the proposed hybrid model, these variables are 1st extracted then medical tourism is forecasted to perform the long term as well as the short term goal and planning in the nation. The multi-step ahead medical tourism is forecasted recursively, by utilizing the 1st forecasted value as the input variable to generate the next forecasting value and this procedure is continued till third step ahead forecasted value. The proposed approach firstly tested and validated by using international tourism arrival (ITA) dataset then proposed approach is implemented for forecasting of medical tourism arrival in nation. In order to validate the performance and accuracy of the proposed hybrid model, a comparative analysis is performed by using Monte Carlo method and the results are compared. Obtained results shows that the proposed hybrid forecasting approach for medical tourism has outperformance characteristics.

scholarly journals International Real Estate Review

2011 ◽  
Vol 14 (2) ◽  
pp. 159-183
Author(s):  
Oliver Bischoff ◽  
Keyword(s):  
Household Income ◽  
Birth Rate ◽  
Flow Model ◽  
Positive Impact ◽  
Data Set ◽  
Rental Market ◽  
East German ◽  
Vacancy Rates ◽  
Stock Flow

We apply the stock flow model for the German residential rental market using a data set that includes the overwhelming majority of nomenclature of territorial units for statistics (NUTS) 3 regions for the 2004-2007 period. Aside from proving conditional rental price convergence, we have detected a turnaround in vacancy stocks between the short and the long term. While East German counties and West German independent cities currently exhibit the highest and lowest vacancy rates, respectively, the opposite holds true at equilibrium. Leaning on theoretical suggestions, landlords in well-developed areas have incentives to hold onto vacancies in view of future rent increases. Our results support this idea, which demonstrates the significantly positive impact of household income and net birth rate on the natural vacancy rate.

Adaptive Hybrid Model for Long Term Load Prediction in Computational Grid

2008 ◽  
Author(s):  
Yulai Yuan ◽  
Yongwei Wu ◽  
Guangwen Yang ◽  
Weimin Zheng
Keyword(s):  
Hybrid Model ◽  
Computational Grid ◽  
Load Prediction

Predicting the function of transplanted kidney in long-term care processes: Application of a hybrid model

2019 ◽  
Vol 91 ◽  
pp. 103116 ◽  
Author(s):  
Parviz Rashidi Khazaee ◽  
Jamshid Bagherzadeh M. ◽  
Zahra Niazkhani ◽  
Habibollah Pirnejad
Keyword(s):  
Hybrid Model ◽  
Long Term Care ◽  
Term Care ◽  
Transplanted Kidney ◽  
Care Processes

scholarly journals A Novel Analytical-ANN Hybrid Model for Borehole Heat Exchanger

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6213
Author(s):  
Anjan Rao Puttige ◽  
Staffan Andersson ◽  
Ronny Östin ◽  
Thomas Olofsson
Keyword(s):  
Neural Network ◽  
Heat Exchanger ◽  
Analytical Model ◽  
Hybrid Model ◽  
Time Resolution ◽  
Network Models ◽  
Borehole Heat Exchanger ◽  
Neural Network Models ◽  
Ground Source

Optimizing the operation of ground source heat pumps requires simulation of both short-term and long-term response of the borehole heat exchanger. However, the current physical and neural network based models are not suited to handle the large range of time scales, especially for large borehole fields. In this study, we present a hybrid model for long-term simulation of BHE with high resolution in time. The model uses an analytical model with low time resolution to guide an artificial neural network model with high time resolution. We trained, tuned, and tested the hybrid model using measured data from a ground source heat pump in real operation. The performance of the hybrid model is compared with an analytical model, a calibrated analytical model, and three different types of neural network models. The hybrid model has a relative RMSE of 6% for the testing period compared to 22%, 14%, and 12% respectively for the analytical model, the calibrated analytical model, and the best of the three investigated neural network models. The hybrid model also has a reasonable computational time and was also found to be robust with regard to the model parameters used by the analytical model.

scholarly journals Demographic characteristics and life satisfaction in settlements of Fruska Gora mountain region: Besenovo case study

2014 ◽  
pp. 559-570
Author(s):  
Bojan Djercan ◽  
Milka Bubalo-Zivkovic ◽  
Tamara Lukic ◽  
Milica Solarevic
Keyword(s):  
Birth Rate ◽  
Field Research ◽  
Living Standard ◽  
Young Population ◽  
Demographic Situation ◽  
Life Expectancy Increase ◽  
Long Term Trend ◽  
Low Birth Rate

Serbia has been facing an economic crisis for the last two decades, which is one of the causes of poor demographic situation in the country. Along with low or negative rates of population growth and ageing of population, the majority of municipalities in Vojvodina have a negative migration balance. Vojvodina is characterized by long-term trend in the decrease of young population and the increase of old population. These two processes are affected by low birth rate and life expectancy increase. The bad economic situation and the ageing of population are especially apparent in mountainous areas and peripherally located settlements. This situation has not bypassed Besenovo, mountainous village of Fruska Gora. Field research and conduction of the questionnaire have found out that the population of this village is not satisfied with the basic living standard.

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