Broadening to sustainability the perspective of industrial decision-makers on the energy efficiency measures adoption: some empirical evidence

The industry should take further efforts towards increased energy efficiency, that is a major contributor to improve industrial sustainability performance, by implementing energy efficiency measures (EEMs). However, the rate of adoption of these measures is still quite low. Hitherto, EEMs and barriers to their adoption have been evaluated almost exclusively from the viewpoint of energy efficiency decision-makers, not accounting for the broader sustainability perspective. This work aims at understanding whether an industrial sustainability perspective can better address issues related to EEMs adoption, analyzing the question through different viewpoints and insights offered by industrial decision-makers of different industrial sustainability areas within a firm. By doing this, we aim at offering a contribution in the understanding of the low rate of adoption of EEMs. As case studies, we investigated 12 firms from Northern Italy. In comparison to previous literature, results show that an industrial sustainability perspective can better explain the real decision-making process of adopting an EEM. Indeed, people knowledgeable about different industrial sustainability areas may perceive different barriers about the same EEM. EEMs may be negatively affected by reasons related to other areas of industrial sustainability, while positive reciprocal impacts may exist among areas of industrial sustainability; thus, EEMs may have effects on areas other than energy efficiency, and these effects may be perceived only by such areas. The study concludes with some remarks for policy and industrial decision-makers and advice for further research.     

Spatial heterogeneity,industry heterogeneity,and entrepreneurship

The prevalence of entrepreneurship varies not only across regions but also among industries. Using a unique panel dataset of 60 two-digit industries across 64 provinces from 2000 to 2010 in Vietnam, we investigate the importance of spatial and sectoral heterogeneity in an analysis of the determinants of entrepreneurship and empirically explore the interaction effect of geographic conditions and industry dynamism. Overall, our results confirm the significance of industry structural variables and their joint effect with geographic conditions in fostering new firm formation. Particularly, (i) growth-driven entries are generally higher in provinces that offer higher salaries; (ii) technology-intensive industries within regions that have strong knowledge spillover effects are appealing to new entries. Others noteworthy findings include: (i) ‘necessity entrepreneurship’ is prevalent in Vietnam, but limited to extractive and service industries that are typically labor intensive; (ii) firms tend to concentrate more in agglomerated locations. This effect, however, evaporates for high-tech industries; and (iii) industry profitability and niche dynamism all play a crucial role in stimulating new start-ups. We apply the system generalized method of moments to obtain empirical evidence in the study.     

Adaptive IDA‐PBC for underactuated mechanical systems with constant disturbances

This work investigates the control of nonlinear underactuated mechanical systems with matched and unmatched constant disturbances. To this end, a new control strategy is proposed, which builds upon the interconnection‐and‐damping‐assignment passivity‐based control, augmenting it with an additional term for the purpose of disturbance compensation. In particular, the disturbances are estimated adaptively and then accounted for in the control law employing a new matching condition of algebraic nature. Stability conditions are discussed, and for comparison purposes, an alternative controller based on partial feedback linearization is presented. The effectiveness of the proposed approach is demonstrated with numerical simulations for three motivating examples: the inertia wheel pendulum, the disk‐on‐disk system, and the pendulum‐on‐cart system.     

Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images

Magnetic Resonance Materials in Physics, Biology and Medicine - The aim of this paper is to investigate the use of fully convolutional neural networks (FCNNs) to segment scar tissue in the left...     

Importance analysis considering time‐varying parameters and different perturbation occurrence times

Importance measures are integral parts of risk assessment for risk‐informed decision making. Because the parameters of a risk model, such as the component failure rates, are functions of time and a perturbation (change) in their values can occur during the mission time, time dependence must be considered in the evaluation of the importance measures. In this paper, it is shown that the change in system performance at time t, and consequently the importance of the parameters at time t, depends on the parameters perturbation time and their value functions during the system mission time. We consider a nonhomogeneous continuous time Markov model of a series‐parallel system to propose the mathematical proofs and simulations, while the ideas are also shown to be consistent with general models having nonexponential failure rates. Two new measures of importance and a simulation scheme for their computation are introduced to account for the effect of perturbation time and time‐varying parameters.     

An overview of the Italian market for 2015: cooking quality and nutritional value of gluten-free pasta

A roundup of gluten-free (GF) pasta sold in the Italian market in 2015 was characterised throughout cooking behaviour, texture, colour and nutritional value. A preliminary evaluation of cooking quality of the thirty-three available products underlined an extremely heterogeneous technological quality. Eleven categories were, therefore, discriminated based on the main ingredients declared on the labels. Interestingly, the most numerous category (rice and corn) was pulverised on the factorial space indicating highly heterogeneous properties. This result was confirmed throughout multivariate statistics and can be likely due to diversity in ingredients proportions or/and processing. Nutritional evaluation of GF pasta pointed out a good nutritional quality. Therefore, the combination of technological and nutritional analyses demonstrated a huge difference among the analysed pasta samples, which can increase the difficulty of consumers to make their choice, and leaves room for further improvement of GF pasta formulation and productive processing.     

Multiobjective evolutionary feature selection and fuzzy classification of contact centre data

In this work, a data set describing phone interactions arising in a multichannel and multiskill contact centre is considered with the aim of classifying inbound sessions into those that will be eventually managed by an agent and those that, instead, will be abandoned before. More precisely, the goal of the work is to extract interpretable pieces of information that allow us to predict whether a user will or will not abandon a call, which may turn out to be very useful for the purpose of contact centre managing. To this end, the performance of two well‐known, state‐of‐the‐art evolutionary algorithms for feature selection (evolutionary nondominated radial slots based algorithm and nondominated sorted genetic algorithm) is compared for the task of feature selection, under the criteria of accuracy and cardinality of the selection, as well as for the task of fuzzy rule extraction, under the criteria of interpretability, accuracy, and hypervolume test. The best obtained fuzzy classifier, chosen after a decision making process, is validated and interpreted by domain experts.     

Transparent electrodes based on molybdenum–titanium–oxide with increased water stability for use as hole-transport/hole-injection components

Journal of Materials Science - Recently, dielectric/metal/dielectric (DMD) transparent electrodes based on MoO3 have been applied in solar cells and organic light emitting diodes, by virtue of the...