Showing 101 - 120 results of 436 for search '(("tomographys" OR ("tomographic" OR "demographic")) OR "demographics")', query time: 0.11s Refine Results
  1. 101

    Children’s influence on parental yielding on toys with respect to educational value and perceived price. by Li, Xian., Lee, Mildred Sook Han., Tan, Rachael Yan Hang.

    Published 2012
    “…With the changing demographics, and landscape, increasing number of studies are focusing on the influence of the children, from that of direct and indirect influence attempts to that of parental yielding. …”
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    Final Year Project (FYP)
  2. 102

    Galaxy bias in the era of LSST: perturbative bias expansions by Nicola, A, Hadzhiyska, B, Findlay, N, García-García, C, Alonso, D, Slosar, A, Guo, Z, Kokron, N, Angulo, R, Aviles, A, Blazek, J, Dunkley, J, Jain, B, Pellejero, M, Sullivan, J, Walter, CW, Zennaro, M

    Published 2024
    “…We consider a variety of different simulated galaxy samples and test the performance of the bias models in a tomographic joint analysis of LSST-Y10-like galaxy clustering, galaxy-galaxy-lensing and cosmic shear. …”
    Journal article
  3. 103

    Implicit leadership theory : a study on the perception of military and private sector leaders by Singaporean undergraduates by Indahsuria Mokhtar, Gay, Si Hui, Tang, Shi Yin

    Published 2011
    “…By considering these inherent demographics, would the student sample yield similar or vastly different results from the military sample? …”
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    Final Year Project (FYP)
  4. 104

    Brand- and price-based usage pattern analysis on peer-to-peer car-sharing platform by Tan, Xuan Yi

    Published 2018
    “…The results consist of the demographics of the dataset used, categorized by different attributes such as car age, mileage and car brand. …”
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    Final Year Project (FYP)
  5. 105

    Employee turnover : bad attitude or poor management? by Khadijah Abdul Rahman., Norfarhana Supaat., Norhayati Haron.

    Published 2008
    “…The variables for the turnover are segmented into three categories - controllable, uncontrollable and demographics.…”
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    Final Year Project (FYP)
  6. 106
  7. 107

    Consumers ' choice of credit/charge card by Lim, Susan Gim Peng, Low Wee Choo

    Published 2015
    “…Other areas of study were on developing demographic profiles of the responding cardholders based on the nature of card held, on whether these demographic variables have significant effects on their card choice and on how often credit settlement was used for a variety of activities like the purchase of food items, non-food items and travel and entertainment etc. …”
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    Final Year Project (FYP)
  8. 108

    Retirement instruments and their distribution channels. by Ong, Cheow Chong., Poh, Choon Kiat., Ong, Joo Liang.

    Published 2008
    “…First, we hope to find out about the relationship between demographics and instruments used by them. Secondly, we hope to find out about people’s perception about the best distribution channels for promoting and purchasing retirement instruments.…”
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    Final Year Project (FYP)
  9. 109

    An updated analysis of housing price determinants in Singapore: implications for policy and planning by Ang, Qi Jian, Chia, Jia-En, Lim, Vee Kiat

    Published 2023
    “…This paper seeks to provide a more updated analysis of housing price determinants in the private and public housing market, incorporating factors such as macroeconomic variables, supply, demographic variables, and the Covid-19 pandemic. We constructed a multivariate OLS regression model to analyze data between 2000 and 2022. …”
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    Final Year Project (FYP)
  10. 110

    You must be myths-taken: examining belief in falsehoods during the COVID-19 health crisis by Lwin, May Oo, Sheldenkar, Anita, Tng, Pei Ling

    Published 2024
    “…However, belief in myths varied across population demographics, with ethnic minorities (Indians and Malays), females, young adults and those with lower education levels being more susceptible to myths than their counterparts (p < 0.05). …”
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    Journal Article
  11. 111

    Impact of information and communication technology on B2B organizational business models : a case study of XYZ container line's business model change by Ang, Lay Koon

    Published 2008
    “…Compounded by the effect of the other three forces in a macro environment (namely, Demographics, Economics and Political), organizations are under tremendous pressure to quickly and persistently recognize the efficiency and effectiveness of their business models.…”
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    Thesis
  12. 112

    Leadership styles of women entrepreneurs in Singapore by Gow, Hui Yian, Lau, Choon Huei, Lau, Louisa Su May

    Published 2015
    “…This research was undertaken in an attempt to provide a more thorough insight on the relationships between demographic factors and leadership styles adopted by small business female owner-managers in Singapore. …”
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    Final Year Project (FYP)
  13. 113

    Negative density dependence promotes persistence of a globally rare yet locally abundant plant species Oenothera coloradensis by Stears, AE, Heidel, B, Paniw, M, Salguero-Gómez, R, Laughlin, DC

    Published 2024
    “…Consequently, several mechanisms have been proposed to explain their persistence, including negative density dependence, demographic compensation, vital rate buffering, asynchronous responses of subpopulations to environmental heterogeneity, and fine-scale source-sink dynamics. …”
    Journal article
  14. 114

    Logistics implications on consumers' trust and satisfaction: consumer's repurchase intention in C2C marketplaces based in Singapore by Ting, Clara Jie Lyn

    Published 2023
    “…However, other than the logistics service, we have conducted an analysis on how demographics may potentially affect consumer’s repurchase intention. …”
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    Final Year Project (FYP)
  15. 115

    Nonlinear optical imaging investigations at the micro-scale by Lim, Ken Choong

    Published 2015
    “…Furthermore, the NLSM was used to perform 3D tomographic imaging on electroluminescent displays printed on a plastic substrate. …”
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    Final Year Project (FYP)
  16. 116

    Factors associated with the quality of life among river communities along Sungai Pahang and Sungai Muar, Malaysia by Ramli, Siti Aisyah

    Published 2014
    “…Analysis such as t-test indicated that there is a difference between socio-demographic factors (gender and education level) and the quality of life. …”
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    Thesis
  17. 117

    Insights from an Experiment Crowdsourcing Data from Thousands of US Amazon Users: The importance of transparency, money, and data use by Berke, Alex, Mahari, Robert, Pentland, Sandy, Larson, Kent, Calacci, Dana

    Published 2024
    “…The design allows us to study multiple important aspects of privacy perception and user data sharing behavior, including how socio-demographics, monetary incentives and transparency can impact share rates. …”
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    Article
  18. 118

    Shrinking Cities, Shrinking World: Urban Design for an Emerging era of Global Population Decline by Ryan, Brent D.

    Published 2024
    “…Today, shrinking cities are growing in number as demographic decline resulting from income growth drives population loss in northern Europe and the former Soviet Union as well as in Japan, China, Korea, Singapore, and Mediterranean Europe. …”
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    Article
  19. 119

    ‘I don’t care who joins my choir’: investigating attitudes to diversity and inclusivity in lower- and upper-voice choirs in the United Kingdom by MacGregor, E

    Published 2024
    “…Using descriptive statistics to show demographic trends and qualitative thematic analysis to identify experiences shared across choirs, we highlight how the development of some lower- and upper-voice choirs has been affected by a homogeneous demographic with limited recognition of – and, in some cases, resistance towards – wider societal issues of diversity and inclusivity. …”
    Journal article
  20. 120

    Injury patterns in elderly cyclists and motorcyclists presenting to a tertiary trauma centre in Singapore by Cheong, Hui Shyuan, Tham, Kum Ying, Chiu, Li Qi

    Published 2022
    “…The aim of this study was to describe and compare patient demographics, injury patterns and outcomes among elderly cyclists and motorcyclists presenting to a Level 1 trauma centre.…”
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    Journal Article