Parthenope University of Naples

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    Concepts in smart societies: Next-generation of human resources and technologies

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    We live in a society driven by rapid and unpredictable changes. The concept of the "fourth industrial revolution" was introduced less than ten years ago - the more aware and reality oriented "smart factories". By this we mean novelties in production technologies, enabling IT services and greater attention to energy consumption. Today, we are discussing the fifth stage in the evolution of society, the advent of the 5.0 company. This book outlines strategic lines and suggests future directions for the development of the "super smart society" which takes responsibility and ensures sustainability by adhering to new smart technologies and skills. The book is intended for a broad audience working in the fields of material science and engineering, energy, environment, etc. It is an invaluable reference source for researchers, academicians, students, industrial institutions, government and independent institutes, individual research groups and scientists working in the field of industrial applications of smart manufacturing design

    Sharp estimates for the first Robin eigenvalue of nonlinear elliptic operators

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    The aim of this paper is to obtain optimal estimates for the first Robin eigenvalue of the anisotropic pp-Laplace operator, namely: egin{equation*} lambda_1(eta,Omega)= min_{psiin W^{1,p}(Omega)setminus{0} } rac{displaystyleint_Omega F( abla psi)^p dx +eta dsint_{deOmega}|psi|^pF( u_{Omega}) dcH^{N-1} }{displaystyleint_Omega|psi|^p dx}, end{equation*} where pin]1,+infty[pin]1,+infty[, OmegaOmega is a bounded, mean convex domain in RNR^{N}, uOmega u_{Omega} is its Euclidean outward normal, etaeta is a real number, and FF is a sufficiently smooth norm on RNR^{N}. The estimates we found are in terms of the first eigenvalue of a one-dimensional nonlinear problem, which depends on etaeta and on geometrical quantities associated to OmegaOmega. More precisely, we prove a lower bound of lambda1lambda_{1} in the case eta>0, and a upper bound in the case eta<0. As a consequence, we prove, for eta>0, a lower bound for lambda1(eta,Omega)lambda_{1}(eta,Omega) in terms of the anisotropic inradius of OmegaOmega and, for eta<0, an upper bound of lambda1(eta,Omega)lambda_{1}(eta,Omega) in terms of etaeta

    Subjective Well‐Being of NEETs and Employability: A Study of Non‐Urban Youths in Spain, Italy, and Portugal

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    Subjective well‐being is of paramount importance when support is offered to young individuals seeking employment and social inclusion in general. The present study looks at different dimensions of youth well‐being and the growing demands for skills to enable labour market integration. Based on survey data, this article examines the relationships between the role of public employment services in providing support and their impact on the subjective well‐being of youth. Specifically, 1,275 not in education, employment, or training (NEET) rural youths from Italy, Portugal, and Spain participated in the survey. Drawing upon Bronfenbrenner’s bioecological model, the current study sets up a model which includes different factors at the micro‐, meso‐, exo‐, and macro‐system levels. The results show that non‐urban NEETs’ subjective well‐being is associated positively with public employment services availability, while the relationship with public employment services interaction and public employment services support is non‐significant. A positive and significant relationship emerged also with self‐efficacy and social support. Some recommendations for policymakers are discussed

    Band-Wise Hyperspectral Image Pansharpening Using CNN Model Propagation

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    Hyperspectral (HS) pansharpening has received a growing interest in the last few years as testified by a large number of research papers and challenges. It consists in a pixel-level fusion between a lower resolution HS datacube and a higher resolution single-band image, the panchromatic (PAN) image, with the goal of providing an HS datacube at PAN resolution. Due to their powerful representational capabilities, deep learning models have succeeded to provide unprecedented results on many general-purpose image processing tasks. However, when moving to domain-specific problems, as in this case, the advantages with respect to traditional model-based approaches are much lesser clear-cut due to several contextual reasons. Scarcity of training data, lack of ground truth (GT), and data shape variability are some such factors that limit the generalization capacity of the state-of-the-art deep learning networks for HS pansharpening. To cope with these limitations, in this work, we propose a new deep learning method, which inherits a simple single-band unsupervised pansharpening model nested in a sequential band-wise adaptive scheme, where each band is pansharpened refining the model tuned on the preceding one. By doing so, a simple model is propagated along the wavelength dimension, adaptively and flexibly, with no need to have a fixed number of spectral bands, and, with no need to dispose of large, expensive, and labeled training datasets. The proposed method achieves very good results on our datasets, outperforming both traditional and deep learning reference methods. The implementation of the proposed method can be found at https://github.com/giuguarino/R-PNN

    Super smart society: Proposal of an innovative digicircular internet platform towards a more sustainable, resilient, and human-centric future

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    The challenge of the circular economy affects not only the production systems, but increasingly concerns industrial sectors, lifestyles, and the habits of every citizen. Soon, companies and citizens will collaborate more and more for projects aimed at favoring the improvement of the recovery of materials. Starting from the premise, the present research aims to propose a holistic approach for a collaboration model to purse a digital circular economy. In this sense, it is necessary to critically rethink the culture of production going beyond the culture of waste to its reuse for the creation of new “supply chains”. Considering the above, the research aims to focus on the coffee supply chain considering that coffee is the second-largest beverage consumed around the world and the second largest traded commodity after petroleum. The basic idea is a reconfiguration of the supply chain making it more sustainable and more digitized than it is today. Thus, the aim of the research is to ‘design’ an integrated physical internet platform –PRISMA Platform (Physical internet RegeneratIve Sustainable MAterials) - to make the spent coffee grounds (SCGs) recovery activity with almost no waste

    Unreliable Narratives and Social-Ecological Memory in Kara Walker’s ‘A Subtlety’

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    Ever since they have become a numerous species, humans have enormously affected the environment often led by a conception of nature as something to exploit for their benefit. Colonialism has largely contributed to reshaping the ‘con-vironment’ through the transplantation of animals, people, and crops, and has been responsible for the development of a pseudoscientific discourse seeking to associate colonized people with animals and the natural world as an attempt to justify forms of violence, domination, and exploitation. Drawing on Multimodal Critical Discourse Analysis, this chapter aims to explore the emergence of a social-ecological memory in Kara Walker’s monumental installation A Subtlety (2014, USA) which uses recyclable materials (sugar, with a clear reference to colonial history; wood; cork; and jesmonite) and, in contrast with usual monuments, is not permanent/invasive but offers a counter-discourse to colonial/environmental history pointing at a different understanding of the human relationship with the con-vironment

    Mechanically Induced Long Period Gratings (LPGs) in Standard and Unconventional Optical Fibers

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    This paper presents mechanically induced long-period gratings (MILPGs) realized in standard and unconventional optical fibers, like not-photosensitive double-clad and photonic crystal fibers. The periodic modulation of the geometry and refractive index along the length of the optical fibers is induced by pressure applied transversely to properly grooved plates and leads to light coupling among the core mode and forward propagating cladding modes at specific resonance wavelengths. The proposed method employs stereolithography (SLA) 3D printing technique to realize the periodic grooved plate with an interdigitated almost sinusoidal shape. The results have significant implications for silica optical fibers that possess different geometrical and optical properties, including: (i) the standard single mode fiber (SMF-28); (ii) double cladding fibers such as (a) Thorlabs DCF-13, and (b) Nufern S-1310; and (iii) Photonic crystal fiber. The obtained devices present high quality spectral features, i.e., trivial power losses, deep and narrow attenuation bands and are achieved with a cost-effective and simple technique. Such devices are valuable candidates for different applications ranging from sensing to optical communications

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    Archivio della ricerca - Università degli studi di Napoli &quot;Parthenope&quot; is based in Italy
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