The Secret Life of Schoolgirls

Even as a Catholic, I hated Catholic school. I hated our uniforms. They were a horrible yellow and green, with skirts that felt like heavy curtains and shirts made of 2% cotton. On hot days the shirts would stick to your body and slowly creep up to your armpits every time you moved. So forget that Catholic School girl fantasy because there’s a lot of baggage that comes with those knee socks. [excerpt

Experiencing Authenticity of the House Museums in Hybrid Environments

The paper presents an existing scenario related to the advanced integration of digital technologies in the field of house museums, based on the critical literature and applied experimentation. House museums are a particular type of heritage site, in which is highlighted the tension between the evocative capacity of the spaces and the requirements for preservation. In this dimension, the use of a seamless approach amplifies the atmospheric component of the space, superimposing, through hybrid digital technologies, an interactive, context-driven layer in an open dialogue between digital and physical. The methodology moves on the one hand from the literature review, framing the macro themes of research, and on the other from the overview of case studies, selected on the basis of the experiential value of the space. The analysis of the selected cases followed as criteria: the formal dimension of the technology; the narrative plot, as storytelling of socio-cultural atmosphere or identification within the intimate story; and the involvement of visitors as individual immersion or collective rituality. The paper aimed at outlining a developmental panorama in which the integration of hybrid technologies points to a new seamless awareness within application scenarios as continuous and work-in-progress challenges

Whose Turn Is It? Problems of Reconciling Family and Work in Dual-Career Couples.

The work-family life conflict affects various aspects of dual-career families. Parenthood and the work-family life balance lead to an overload of responsibility and disparity at the expense of women, on a private as well as on a social level. In our research, we examined WIF (work to family) and FIW (family to work) conflicts in a sample of 483 dual-career couples. The main results underline an increase in familiar duties concerning child birth and childcare, as associated with the traditional work-family life balance strategy. The data seems to reflect differences in traditional roles between public-male- breadwinner and private-female-homemaker

Reliability Estimation of the Compressive Concrete Strength Based on Non-Destructive Tests

The uncertainty in the concrete compressive strength is one of the most challenging issues in safety checking of existing reinforced concrete (RC) buildings. The concrete compressive strength used in the assessment can highly influence the vulnerability results and thus the retrofit strategies. The need to use less expensive and less invasive in situ measurements such as the non-destructive tests should be balanced with a careful check of their structural reliability. The compressive concrete strength is characterized herein based on a large database of both in situ destructive and non-destructive results measured on the same structural members. The data are obtained from existing RC buildings mainly located in the Campania region, Southern Italy. Probabilistic linear and multilinear regression models are developed for calculating the compressive concrete strength based on non-destructive tests. Furthermore, the implementation of the concrete strength based on ultrasonic test results are investigated together with the relative measurement error through a fully probabilistic workflow. Accordingly, the relative weights of non-destructive data for calculating concrete compressive strength are estimated and compared with those recommended by the Italian national code. The results demonstrate that the effective weights of the non-destructive data are very close to the code-based recommendation

The BIM-based Integrated Design of the SHiP Project Decay Volume

The Search for Hidden Particles (SHiP) experiment is a new general-purpose fixed target facility proposed at the CERN Super Proton Synchrotron accelerator to search for longlived exotic particles associated with Hidden Sectors and Dark Matter. This paper reports on the BIM integrated design of SHiP’s decay volume, a conical steel vessel under vacuum that should host several large particle physics detector systems. The use of BIM characterized the design of the decay volume, both in the modeling and structural design phase, and in the process definition phase for the realization and implementation in the facility of the device. This procedure helps to minimize the risks of incorrect design and construction of the device during the whole process. With the automation of the virtual model and the use of interoperable software, in addition to speeding up the exchange of information, it is possible also to export the detailed information of the structural design directly to the numerical control machines for the prefabrication of the various steel modules. Then, the BIM approach to support the integrated design of the SHiP project decay volume from the conceptual planning to the construction phase is shown in this work

Robust Causal Inference of Drug-drug Interactions

There is growing interest in developing causal inference methods for multi-valued treatments with a focus on pairwise average treatment effects. Here we focus on a clinically important, yet less-studied estimand: causal drug-drug interactions (DDIs), which quantifies the degree to which the causal effect of drug A is altered by the presence versus the absence of drug B. Confounding adjustment when studying the effects of DDIs can be accomplished via inverse probability of treatment weighting (IPTW), a standard approach originally developed for binary treatments and later generalized to multi-valued treatments. However, this approach generally results in biased results when the propensity score model is misspecified. Motivated by the need for more robust techniques, we propose two empirical likelihood-based weighting approaches that allow for specifying a set of propensity score models, with the second method balancing user-specified covariates directly, by incorporating additional, nonparametric constraints. The resulting estimators from both methods are consistent when the postulated set of propensity score models contains a correct one; this property has been termed multiple robustness. We then evaluate their finite sample performance through simulation. The results demonstrate that the proposed estimators outperform the standard IPTW method in terms of both robustness and efficiency. Finally, we apply the proposed methods to evaluate the impact of renin-angiotensin system inhibitors (RAS-I) on the comparative nephrotoxicity of nonsteroidal anti-inflammatory drugs (NSAID) and opioids, using data derived from electronic medical records from a large multi-hospital health system.Comment: 33 pages, 9 figures and 2 table