4,055 research outputs found

    VINERS Method for the Multiple Criteria Analysis and Neuromarketing of Best Places to Live

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    The best and worst places to live have been analysed in the world for many years and multiple criteria analysis has been used for that purpose. The quality of housing and its environment, pollution, green places, public spaces, physical movement and health, crime rates and individual safety, the wellbeing of youngsters, unemployment, job value, economic scarcity, governance, circadian rhythm, weekly rhythm and other factors are the focus of such analyses that aim to determine levels of positive emotions and happiness in built environment. Questionnaires are the most common tool for such analyses, where inhabitants are asked to rank their happiness experience as a whole in built environment. Many studies demonstrate that happy people are effective in multiple areas of their life including job efficiency, salary, health, human relations, etc. The innovative aspect of this research stems from the fact that biometric technologies (affective attitudes, emotional and physiological states) and the VINERS method developed by the authors are used to determine the best places to live and to serve neuro ads of homes for sale. To do this, rational segments of homebuyers are determined according to their demographic profiles (age, gender, education, marital status, families with children, main source of income), consumer psychographics and behaviour (happy, sad and angry along with valence and heart rate) and then select a rational video ad for such rational segment. The aim of our research is to develop the VINERS Method for the Multiple Criteria Analysis and Neuromarketing of Best Places to Live (VINERS method) by combining the Somatic Marker Hypothesis, biometrics, neuromarketing and COPRAS method. This article presents a case study to demonstrate the VINERS method put to practice

    Download the full PDF of the Issue- Health Policy Newsletter, Vol. 22, Issue 1, March 2009

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    Trends in Sustainable Buildings and Infrastructure

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    The recently established Sustainable Development Goals call for a paradigm shift in the way that buildings and infrastructures are conceived. The construction industry is a major source of environmental impacts, given its great material consumption and energy demands. It is also a major contributor to the economic growth of regions, through the provision of useful infrastructure and generation of employment, among other factors. Conventional approaches underlying current building design practices fall short of covering the relevant environmental and social implications derived from inappropriate design, construction, and planning. The development of adequate sustainable design strategies is therefore becoming extremely relevant regarding the achievement of the United Nations 2030 Agenda Goals for Sustainable Development. This book comprises 11 chapters that highlight the actual research trends in the construction sector, aiming to increase the knowledge on sustainable design practices by highlighting the actual practices that explore efficient ways to reduce the environmental consequences related to the construction industry, while promoting social wellbeing and economic development. The chapters collect papers included in the Special Issue “Trends in Sustainable Buildings and Infrastructure” of the International Journal of Environmental Research and Public Health

    1998 Scholars and Artists Bibliography

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    This bibliography was created for the annual Friends of the Michael Schwartz Library Scholars and Artists Reception, recognizing scholarly and creative achievements of Cleveland State University faculty, staff and emerit

    Spartan Daily, September 1, 1995

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    Volume 105, Issue 3https://scholarworks.sjsu.edu/spartandaily/8718/thumbnail.jp

    Focal Spot, Summer 1987

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    https://digitalcommons.wustl.edu/focal_spot_archives/1046/thumbnail.jp

    Exposure to Newspaper Website Advertisement and its Influence on Consumer Affective Response

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    Consumer interaction with online advertisements comprises of a hierarchy of stages with researchers focusing more on attention. However, little emphasis has been given to the process that leads to attention. This study examines the concept of exposure – pre-attention which precedes attention. The research aptly captures online newspaper readers' interaction with newspaper website advertisements. Findings describe how users process advertising information on newspaper websites, providing insight into how users divert their focus to the advertisements and are eventually influenced to click-through for different reasons. Keywords: Online newspapers, newspaper website, pre-attention, online readers, click-through, exposure, affective response

    Soft-Boosted Self-Constructing Neural Fuzzy Inference Network

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    © 2013 IEEE. This correspondence paper proposes an improved version of the self-constructing neural fuzzy inference network (SONFIN), called soft-boosted SONFIN (SB-SONFIN). The design softly boosts the learning process of the SONFIN in order to decrease the error rate and enhance the learning speed. The SB-SONFIN boosts the learning power of the SONFIN by taking into account the numbers of fuzzy rules and initial weights which are two important parameters of the SONFIN, SB-SONFIN advances the learning process by: 1) initializing the weights with the width of the fuzzy sets rather than just with random values and 2) improving the parameter learning rates with the number of learned fuzzy rules. The effectiveness of the proposed soft boosting scheme is validated on several real world and benchmark datasets. The experimental results show that the SB-SONFIN possesses the capability to outperform other known methods on various datasets

    Spartan Daily, March 29, 1978

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    Volume 70, Issue 34https://scholarworks.sjsu.edu/spartandaily/6325/thumbnail.jp
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