LeNS_AFRICA. An African learning network on sustainability for the development and diffusion of teaching materials and tools on design for sustainability in an open-source and copy left ethos

Copyright @ 2009 CARMAIt is a shared opinion that sustainable development requires a system discontinuity, meaning that radical changes in the way we produce and consume are needed. Within this framework there is an emerging understanding that an important contribution to this change can be directly linked to decisions taken in the design phase. For this reason design schools have therefore to be able to provide design students with a broad knowledge and effective Design for Sustainability tools, in order to enable a new generation of designers in playing an active role in reorienting our consumption and production patterns. Under this perspective, there is a pressing need of mechanisms that act at the education level, enabling design educators (and researchers) to share knowledge in this field. Along this direction this paper presents the intermediate results of the Learning Network on Sustainability (LeNS) project, an Asian-European multi-polar network for curricula development on Design for Sustainability focused on (Product-Service) System innovation, financed by the European Commission under the Asia-Links programme2. LeNS is a mechanism to develop and diffuse system design for sustainability in design schools with a transcultural perspective. The main output of the project will be the Open Learning E-Package (OLEP), an open web platform that allows a decentralised and collaborative production and fruition of knowledge produced as learning subsidies. It can be described as a modular e-package of teaching materials (texts, slide shows, audio, video, etc) and tools for designers, that design educators (but also students and professionals as designers, entrepreneurs and interested persons/ institutions) worldwide will be able to download (free of charge), modify, remix and reuse (copy left). Apart from the contents, the same LeNS web platform is realised in an open-source and copy left ethos, allowing its download and reconfiguration in relation to specific needs, area of interest and interested partners. Within this perspective one of this hypothesis is about the setting up of an African Learning Network on Sustainability, which, taking in consideration the local needs, interests and opportunities, could represent a significant enabling platform capable to sensitise, support and empower a new generation of African design educators, designers and entrepreneurs to reach design practice throughout an open collaborative learning approach

Exploring the facets of overall job satisfaction through a novel ensemble learning

The aim of this work is to understand the relationship between the overall Job Satisfaction and the facet Job Satisfaction, using a comprehensive dataset of Italian Social Cooperatives workers. On this issue, recent works explored how ensemble learning like Random Forest and TreeBoost can be used to assess the importance of potential predictors in the Job Satisfaction. Taking a similar way, in this study we use a tailored data mining approach for hierarchical data, namely a new algorithm called CRAGGING, shedding some light about the drivers of Job Satisfaction. To this end we use a variable importance measure and then we grow a synthetic model to relate the overall Job Satisfaction with corresponding facets. In doing this we obtain a simple model with unambiguous results

High Tc superconductors: The scaling of Tc with the number of bound holes associated with charge transfer neutralizing the multivalence cations

It is observed that for the known high-T(sub c) Cu-, Tl-, and Bi-based superconductors, T(sub c) scales consistently with the number of bound holes per unit cell which arise from charge transfer excitations of frequency approximately = 3 x 10(exp 13) that neutralized the multivalence cations into diamagnetic states. The resulting holes are established on the oxygens. Extrapolation of this empirical fit in the up-temperature direction suggests a T(sub c) of about 220-230 K at a value of 25 holes/unit cell (approximately the maximum that can be materials-engineered into a high-T(sub c) K2MnF4 or triple Perovskite structure). In the down-temperature direction, the extrapolation gives a T(sub c) in the vicinity of 235 K for the Y-Ba-Cu-O system as well as the known maximum temperature of 23 K for low-T(sub c) materials shown by Nb3Ge. The approach is also consistent with the experimental findings that only multivalence ions which are diamagnetic in their atomic state (Cu, Tl, Bi, Pb, and Sb) associate with high-T(sub c) compounds

Effect of charging on CdSe/CdS dot-in-rods single-photon emission

The photon statistics of CdSe/CdS dot-in-rods nanocrystals is studied with a method involving post-selection of the photon detection events based on the photoluminescence count rate. We show that flickering between two states needs to be taken into account to interpret the single-photon emission properties. With post-selection we are able to identify two emitting states: the exciton and the charged exciton (trion), characterized by different lifetimes and different second order correlation functions. Measurements of the second order autocorrelation function at zero delay with post- selection shows a degradation of the single photon emission for CdSe/CdS dot-in-rods in a charged state that we explain by deriving the neutral and charged biexciton quantum yields.Comment: 10 pages, 5 figure

A Twofold Subjective Measure of Income Inequality

Social scientists have been aiming to calculate a “subjective income Gini coefficient”of survey respondents that would describe their beliefs about income inequality in their country. Niehues (Subjective perceptions of inequality and redistributive preferences: an international comparison, Cologne Institute for Economic Research, IWTRENDS Discussion Paper, 2014) derives this estimate from respondents’ beliefs about the relative sizes of different social classes (answers to “shape of society” questions), while Kuhn (The individual perception of wage inequality: a measurement framework and some empirical evidence, Technical report, Institute of Labor Economics (IZA), 2015) estimates it using beliefs about the pay structure. We combine their efforts to calculate what we call a twofold subjective Gini coefficient, which incorporates both pieces of information independently from one another. We present the country-level distribution of perceived and desired twofold subjective Gini coefficients using the ISSP Social Inequality V survey (ISSP Research Group in International social survey programme: social inequalityv—issp 2019, 2019. https://doi.org/10.4225/13/511C71F8612C3). Accounting for both subjective class structure and pay structure yields much lower perceived and desired levels of inequality. At the country level the averages of the twofold subjective Gini coefficients are closer to actual income Gini coefficients than the previous measures. At the individual level the twofold subjective Gini coefficients are better predictors of the individual’s verbal assessment of inequality and their preferences towards redistribution

Why are some countries rich and others poor? development and validation of the attributions for Cross-Country Inequality Scale (ACIS)

Understanding lay theories on the causes of economic inequality is the first step to comprehending why people tolerate, justify, or react against it. Accordingly, this paper aims to develop and validate with two cross-sectional studies the Attributions for Cross-Country Inequality Scale (ACIS), which assesses how people explain cross-country economic inequality–namely, the uneven distribution of income and wealth between poor and rich countries. After selecting and adapting items from existing scales of attributions for poverty and wealth, in Study 1, we tested the factorial structure of this initial pool of items in three countries with different levels of economic development and inequality, namely, Italy (n = 246), the UK (n = 248), and South Africa (n = 228). Three causal dimensions emerged from the Exploratory Factor Analysis: “rich countries” (blaming the systematic advantage of and exploitation by rich countries), “poor countries” (blaming the dispositional inadequacy and faults of poor countries), and “fate” (blaming destiny and luck). The retained items were administered in Study 2 to three new samples from Italy (n = 239), the UK (n = 249), and South Africa (n = 248). Confirmatory Factor Analysis (CFA) corroborated the factorial structure of the ACIS, and Multi-Group CFA supported configural and metric invariances of the scale across countries. In addition, we show internal consistency and construct validity of the scale: the scale correlates with relevant constructs (e.g., beliefs about cross-country inequality and ideological orientation) and attitudes toward relevant policies related to international redistribution and migration. Overall, the scale is a valid instrument to assess causal attribution for cross-national inequality and is reliable across countries. By focusing on resource distribution from an international perspective, this scale will allow researchers to broaden the discussion on economic inequality to a global level

Effects of objective and subjective indicators of economic inequality on subjective well-being: Underlying mechanisms

Much research found that economic inequality—the dispersion of incomes distribution among individuals in a society—affects subjective well‐being (SWB). As a meta‐analysis has shown, the association between economic inequality, commonly measured by the Gini index, and individuals' SWB is weak and not significant. Psychosocial research suggests that the situational perception, rather than objective reality, has a greater impact on individuals. Our aim was to investigate whether and how objective and subjective measures of economic inequality affect the subjective individuals' well‐being, both in its affective and cognitive components. A representative Italian sample (N = 1446, 51% women; average age = 42.42 years, SD = 12.87) answered an online survey. Multilevel regressions detected a negative and significant effect of the inequality perception on well‐being. In contrast, the Gini index showed no effect. Two psychological mechanisms explain the association between perceived inequality and well‐being: Perceived anger toward inequality and individuals' economic vulnerability. The parallel mediation models showed that the effect of perceived inequality is conveyed by cognitive (economic vulnerability) and emotional (anger) processing of inequality. Findings also highlighted the role of the ongoing COVID‐19 pandemic

A rank subdivision of equivalent score for enhancing neuropsychological test norms

Introduction Neuropsychological assessment of cognitive functioning is a crucial part of clinical care: diagnosis, treatment planning, treatment evaluation, research, and prediction of long-term outcomes. The Equivalent Score (ES) method is used to score numerous neuropsychological tests. The ES0 and the ES4 are defined respectively by the outer tolerance limit and the median. The intermediate ESs are commonly calculated using a z-score approach even when the distribution of neuropsychological data is typically non-parametric. To calculate more accurate ESs, we propose that the intermediate ESs need to be calculated based on a non-parametric rank subdivision of the distribution of the adjusted scores. Material and methods We make three simulations to explain the differences between the classical z-score approach, the rank-based approach, and the direct subdivision of the dependent variable. Results The results show that the rank procedure permits dividing the region between ES0 and ES4 into three areas with the same density. The z-score procedure is quite similar to the direct subdivision of the dependent variable and different from the rank subdivision. Conclusions By subdividing intermediate ESs using the rank-subdivision, neuropsychological tests can be scored more accurately, also considering that the two essential points for diagnosis (ES = 0 and ES = 4) remain the same. Future normative data definition should consider the best procedure for scoring with ES