Machine learning and design of experiments with an application to product innovation in the chemical industry

Industrial statistics plays a major role in the areas of both quality management and innovation. However, existing methodologies must be integrated with the latest tools from the field of Artificial Intelligence. To this end, a background on the joint application of Design of Experiments (DOE) and Machine Learning (ML) methodologies in industrial settings is presented here, along with a case study from the chemical industry. A DOE study is used to collect data, and two ML models are applied to predict responses which performance show an advantage over the traditional modeling approach. Emphasis is placed on causal investigation and quantification of prediction uncertainty, as these are crucial for an assessment of the goodness and robustness of the models developed. Within the scope of the case study, the models learned can be implemented in a semi-automatic system that can assist practitioners who are inexperienced in data analysis in the process of new product development.     

A Multivariate Indicator to Compute Middle Class Population

Social Indicators Research - Monitoring progress towards the Sustainable Development Goals by 2030 requires the global community to disaggregate targets along socio-economic lines, but little has...     

A permutation approach for testing heterogeneity in two-sample categorical variables

In many sciences researchers often meet the problem of establishing if the distribution of a categorical variable is more concentrated, or less heterogeneous, in population P ₁ than in population P ₂. An approximate nonparametric solution to this problem is discussed within the permutation context. Such a solution has similarities to that of testing for stochastic dominance, that is, of testing under order restrictions, for ordered categorical variables. Main properties of given solution and a Monte Carlo simulation in order to evaluate its degree of approximation and its power behaviour are examined. Two application examples are also discussed.     

Interwoven migration narratives: identity and social representations in the Lusophone world

This article provides an exploratory analysis of the life narratives of migrants in the Portuguese-speaking world. By interweaving the life experiences of eight participants in three thematic clusters – ‘shared past’, language and sense of community – we propose a critique of the deep-seated idea of the Lusophone space as a community constructed by the harmonious conviviality of different countries and people. Drawing on contributions from cultural studies, social psychology, anthropology and sociology, we first aim to give voice to the human subjects who embark on migrations and then to understand how the engendered process of identity construction is framed by their social world, simultaneously reframing it. Thus, we aim at shedding light on the ways in which aspects of the political discourses on Lusophony are used (and are instrumental) to the migrants’ identity narrative (re)construction.     

Social innovation and ICT in social services: European experiences compared

Innovation in social services and social policies in the European welfare systems is an evolving phenomenon stimulated by socio-demographic, cultural and economic changes. Many social service innovations are linked to disruptive technologies, especially the introduction of information and communication technology (ICT). To discuss the effects of disruptive technologies on health and social services, this article first proposes a framework consistent with the social innovation paradigm. Secondly, based on case-studies, it investigates different models of social and health service innovation driven by technology. The article shows advantages and disadvantages of service innovation driven by technology, and offers some final remarks about future challenges for ICT in health and social services. More evidences of effectiveness and efficiency are necessary to promote public and private investment to implement solutions on a wider scale. However, the impacts of technology-based solutions cannot be measured only in terms of economic aspects but also taking into account whether new technologies really provide the opportunity for citizens to have a better life and advocacy for their rights.     

Association between handgrip strength,walking, age-related illnesses and cognitive status in a sample of Portuguese centenarians

Background

Centenarians are a growing population in Europe and present significant variability in motor and cognitive functions. The aim of our study was to characterize health status, as well as cognitive and motor functions in a group of Portuguese centenarians. In addition, our study also aimed at analyzing the relationship between cognitive functions and the burden of diseases affecting the elderly.

Methods

Fifty-two centenarians were evaluated using the Mini-Mental State Examination, short version. Walking-related parameters (velocity and time spent in the 3 m walk test), grip strength and number of age-related illnesses were also measured. The relationship between cognitive scores and time spent in the three metre walk test, velocity, grip strength and number of diseases was analysed.

Results

Cognitive scores showed a positive correlation with both handgrip strength and time spent in the three metre walk. In contrast, no association was found between cognitive scores and the presence/absence of disease, walking velocity or number of diseases present.

Conclusions

These results suggest that in centenarians, cognitive functions may be related with motor functions.

     

Boom and bust: housing equity withdrawal and consumption decisions and their impacts on household wealth

The authors examine whether the surge in housing refinance and equity withdrawal generated by the housing boom disproportionately affected older households in terms of decisions on whether to refinance, whether to withdraw equity, and how much to withdraw, and how in turn these decisions affected their household wealth. Using the Federal Reserve's Survey of Consumer Finances, the authors found the highest rates of refinancing and cashing out equity among older (although not necessarily the oldest) households. The authors also found that appreciation in house value, being a baby boomer, and having higher household income were the factors that most increased the probability of refinancing and withdrawing equity. Amounts cashed out were higher among older than among younger households. Ordinary least squares (OLS) estimates showed that amounts withdrawn were increased by price appreciation, financial assets, and income, along with being a "pre-boomer" or "early boomer." Older cohorts displayed larger wealth effects than younger ones, but their withdrawn equity was a smaller percentage of total net worth. A relatively small percentage of respondents' dollars was used for consumption, and most dollars were used for home improvement, other investment, or debt repayment. However, massive equity withdrawal and the subsequent collapse of housing prices have caused housing leverage to soar, putting some homeowners "underwater" and jeopardizing others' retirement preparedness. The ensuing housing finance crisis raises numerous policy issues, from reform of mortgage underwriting, securitization, servicing, and foreclosure procedures, to potential limitations on borrowing against unrealized housing equity gains, to enhanced government transfers for distressed older homeowners, to local and state revenue policy changes.