Eigenvalue analysis for plain-woven fabric structure using shell element and one smoothing cell in the smoothed finite element method

An efficient four-node quadrilateral (Q4) shell element based on the first-order shear deformation theory of plate (FSDT) and the strain smoothing technique in finite elements (referred as SFEM) was proposed for eigenvalue analysis of plain-woven fabric structure. A one smoothing domain (or cell) integration scheme in SFEM was proposed to evaluate the nodal train fields of Q4 shell elements. The numerical result of eigenvalue analysis, which was in the case of free vibration analysis, approximated to that one implemented in the finite element method (FEM) but gave a higher efficiency in computation in terms of central processing unit (CPU) time and numerical implementation.The authors wish to express their acknowledgment to FCT funding from FCT – Foundation for Science and Technology within the scope of the project “PEST UID/CTM/00264; POCI-01-0145-FEDER 007136

Buckling analysis of plain-woven fabric structure using shell element and a one cell-based integration scheme in smoothed finite element method

A one smoothing cell integration scheme in the strain smoothing technique in finite elements (referred as SFEM) was proposed to evaluate the nodal train fields of a four-node quadrilateral (Q4) shell element, which is based on the first-order shear deformation theory of plate (FSDT). A mixed interpolation of tensorial components (MITC) approaches for Q4 transverse shear strains also applied to eliminate a shear locking phenomenon that may occur when the thin plate/shell elements are geometrically distorted in curved geometries of fabric sheet. The numerical eigenvalues of buckling analysis of a plain-woven fabric sample, of which physical and mechanical parameters extracted from Kawabata evaluation system for fabrics (KES-FB), obtained a higher efficiency in numerical computation and approximated to Q4 shell element implemented in the finite element method (FEM).The authors wish to express their acknowledgment to FCT funding from FCT – Foundation for Science and Technology within the scope of the project “PEST UID/CTM/00264; POCI-01-0145-FEDER 007136”

Who’s declining the “free lunch”? New evidence from the uptake of public child dental benefits

Recent economic literature has advanced the notion that cognitive biases and behavioural barriers may be important influencers of uptake decisions in respect of public programs that are designed to help disadvantaged people. This paper provides the first evidence on the determinants of uptake of two recent public dental benefit programs for Australian children and adolescents from disadvantaged families. Using longitudinal data from a nationally representative survey linked to administrative data with accurate information on eligibility and uptake, we find that only a third of all eligible families actually claim their benefits. These actual uptake rates are about half of the targeted access rates that were announced for them. We provide new and robust evidence consistent with the idea that cognitive biases and behavioural factors are barriers to uptake. For instance, mothers with worse mental health or riskier lifestyles are much less likely to claim the available benefits for their children. These barriers to uptake are particularly large in magnitude: together they reduce the uptake rate by up to 10 percentage points (or 36%). We also find some indicative evidence about the presence of the lack of information barrier to uptake. The results are robust to a wide range of sensitivity checks, including controlling for possible endogenous sample selection

Weather and children’s time allocation

This paper presents the first causal estimates of the effect of weather on children’s time allocation. It exploits exogenous variations in local weather observed during the random diary dates of two nationally representative cohorts of Australian children whose time-use diaries were surveyed biennially over 10 years. Unfavourable weather conditions, as represented by cold or hot temperature or rain, cause children to switch activities from outdoors to indoors, mainly by reducing the time allocated to active pursuits and travel and increasing the time allocated to media. Furthermore, the effects of bad weather are more pronounced on weekends and heterogeneous across different sub-groups. Our results also provide some evidence of adaptation, as temperature tends to have greater impact not only in winter months but also in colder regions. Overall, the results suggest that extreme weather conditions may diminish children’s development and long-term achievements through their effects on children’s time allocation

Rain, rain, go away: Weather and children’s time allocation

This paper presents the first robust causal estimates of the effect of weather on the allocation of children’s time. It uses individual-level data from over 45,000 time-use diaries of children from two nationally representative cohorts of Australian children whose time-use diaries were surveyed biannually over 10 years to measure the time allocation of children and exploits exogenous variations in local weather conditions observed during the random diary dates. Unfavourable weather conditions, as represented by cold or hot temperature or rain, cause children to switch activities from outdoors to indoors, mainly by reducing the time allocated to active pursuits and travel and increasing the time allocated to media. The effects of weather are more pronounced on weekends and are heterogeneous across different population sub-groups. The results also provide some evidence of adaptation, as temperature tends to have greater impact not only in winter months but also in colder regions. The findings are robust to a wide range of sensitivity checks, including controlling for individual fixed effects and using alternative model specifications

Rain, rain, go away: Weather and children’s time allocation

This paper presents the first robust causal estimates of the effect of weather on the allocation of children’s time. It uses individual-level data from over 45,000 time-use diaries of children from two nationally representative cohorts of Australian children whose time-use diaries were surveyed biannually over 10 years to measure the time allocation of children and exploits exogenous variations in local weather conditions observed during the random diary dates. Unfavourable weather conditions, as represented by cold or hot temperature or rain, cause children to switch activities from outdoors to indoors, mainly by reducing the time allocated to active pursuits and travel and increasing the time allocated to media. The effects of weather are more pronounced on weekends and are heterogeneous across different population sub-groups. The results also provide some evidence of adaptation, as temperature tends to have greater impact not only in winter months but also in colder regions. The findings are robust to a wide range of sensitivity checks, including controlling for individual fixed effects and using alternative model specifications

Accuracy of self-reported private health insurance coverage

Studies on health insurance coverage often rely on measures self-reported by respondents, but the accuracy of such measures has not been thoroughly validated. This paper is the first to use linked Australian National Health Survey and administrative population tax data to explore the accuracy of self-reported private health insurance (PHI) coverage in survey data. We find that 9% of individuals misreport their PHI coverage status, with 5% of true PHI holders reporting that they are uninsured and 16% of true non-insured persons self-identifying as insured. Our results show reporting errors are systematically correlated with individual and household characteristics. Our evidence on the determinants of errors is supportive of common reasons for misreporting. We directly investigate biases in the determinants of PHI enrolment using survey data. We find that, as compared to administrative data, survey data depict a quantitatively different picture of PHI enrolment determinants, especially those capturing age, language proficiency, labour force status or the number of children. We also show that PHI coverage misreporting is subsequently associated with misreporting of reasons for purchasing PHI, type of cover and length of cover

Analogy-Making as a Core Primitive in the Software Engineering Toolbox

An analogy is an identification of structural similarities and correspondences between two objects. Computational models of analogy making have been studied extensively in the field of cognitive science to better understand high-level human cognition. For instance, Melanie Mitchell and Douglas Hofstadter sought to better understand high-level perception by developing the Copycat algorithm for completing analogies between letter sequences. In this paper, we argue that analogy making should be seen as a core primitive in software engineering. We motivate this argument by showing how complex software engineering problems such as program understanding and source-code transformation learning can be reduced to an instance of the analogy-making problem. We demonstrate this idea using Sifter, a new analogy-making algorithm suitable for software engineering applications that adapts and extends ideas from Copycat. In particular, Sifter reduces analogy-making to searching for a sequence of update rule applications. Sifter uses a novel representation for mathematical structures capable of effectively representing the wide variety of information embedded in software. We conclude by listing major areas of future work for Sifter and analogy-making in software engineering.Comment: Conference paper at SPLASH 'Onward!' 2020. Code is available at https://github.com/95616ARG/sifte