Parthenope University of Naples
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Redefining Work: Assessing Job Quality in EU Countries
No full textDespite the rising employment rates of recent years, the quality of jobs has not improved and, in some cases, even declined in most countries, attracting considerable attention from both academic researchers and international institutions. The erosion of job quality has broader socio-economic repercussions, including reduced social mobility, declining trust in institutions, and the rise of populist political sentiments (Standing, 2014). This complex interplay of economic, institutional, and social factors demonstrates that employment rates alone are
insufficient indicators of labor market quality. Comprehensive understanding instead requires examining job quality, security, and remuneration, alongside their impacts on workers’ well-being and social cohesion.
Addressing these challenges needs robust policy interventions aimed at strengthening labor protections, promoting fair wages, and ensuring inclusive access to social security systems. The study of job quality is not easy, as it is a multidimensional concept encompassing various aspects, such as fair remuneration, safety, security, adequate work–life balance, and subjective satisfaction. Given the numerous and heterogeneous factors contributing to the notion of job quality — particularly in cross-country comparisons — its assessment is challenging. For this reason, this paper applies the composite indicator methodology.
In this study, the Principal Component Analysis (PCA) is used to synthesize individual indicators into the pillars, while the aggregation of these pillars into a single composite indicator follows different methods for
robustness and sensitivity analyses needs (arithmetic and geometric mean, the Wroclaw taxonomic approach, the Borda’s rule, and the Condorcet’s majority rule, adapted, these latter two, from game theory). The procedure follows the steps suggested in the OECD Handbook (OECD, 2008) and subsequently refined by
Paruolo et al. (2013)
A numerical model of ship manoeuvring for the KVLCC2 hull, in regular and long-crested irregular waves
No full textThis paper addresses the development and application of a numerical simulation model for ship manoeuvring in waves. This topic is of considerable interest to accurately assess the overall dynamics of a vessel, in particular regarding the interactions among the hull, the propeller, and the engine behaviour. The dynamics of a ship turning in rough seas involves several complex phenomena, including the non-linear actions exerted by the waves on the hull and the various interactions between hull, propeller, waves, and rudder. The numerical simulation model presented in this research uses the so-called “direct superposition” approach, i.e. a hybrid approach that integrates the manoeuvring model in calm water, known as the Manoeuvring Modelling Group (MMG) model, with a mixed non-linear seakeeping model. To evaluate the accuracy and limitations of the proposed model, a benchmark ship, the KVLCC2, is used, for which extensive experimental data are available in the technical literature. A preliminary validation of the turning characteristics in calm water is provided, together with analyses of heave and pitch motions in head seas. Subsequently, turning circle simulations are conducted in both regular waves and irregular long-crested seas, and the results are compared with available experimental data. A generally favourable agreement of the results is observed. However, the limitations of the numerical simulation become more evident with subsequent turns performed by the ship. By restricting the comparison to the range of practical manoeuvres for a vessel at sea, the proposed model appears suitable for applications focused on control purposes
The JANUS (Jovis Amorum ac Natorum Undique Scrutator) VIS-NIR Multi-Band Imager for the JUICE Mission
No full textThe JANUS instrument (Jovis, Amorum ac Natorum Undique Scrutator) aboard the JUpiter ICy moons Explorer (JUICE) is a multispectral camera enabling imaging in the 380-1080 nm wavelength range. The performance and capability of JANUS fulfils all requirements for imaging the variety of different targets JUICE will investigate, including the icy satellites, Io, small inner and irregular moons, the rings and Jupiter itself. JUICE’s orbital trajectory in the Jupiter system will allow icy Galilean satellites observations from afar to closest approaches of a few hundred kilometres, resulting in spatial sampling from km/pixel down to 3 m/pixel respectively. All other targets will be observed from a distance > several 105 km, i.e. spatial sampling above several km/pixel. Thirteen bandpass filters provide good spectral coverage with bandwidths from several tens of nm down to 10 nm. The spectral resolution of JANUS will provide unprecedented characterization of endogenic and exogenic geological processes that shaped the icy satellites surfaces, enable monitoring of volcanic activity on Io, and enable investigation of the physical and dynamical properties of small satellites and rings. The dynamics of Jupiter’s atmosphere will be characterised over more than three years at different altitudes thanks to the ad-hoc selected filters. This paper briefly summarizes the science objectives of JANUS and describes in some detail the instrument architecture, its design, performances and observational capabilities. Although specific aspects, like e.g. data calibration, will be covered in future papers, this work is aimed at offering a general reference to the science enabled by JANUS and the design and capabilities of the instrument
TEACHING, NEW TECHNOLOGIES AND INCLUSION. A PEDAGOGICAL FRAMEWORK IN THE EDUCATIONAL CONTEXTS
No full textWalking patterns and cognitive performance in Tai Chi experts: Exploring the connection to motor control
No full textHistorico-medical considerations on the use of mummy as a drug: a bona fide ineffective medicament or a noxious charlatanry?
No full textPharmaceutical cannibalism has been historically significant across various cultures. Egyptian mummies, often studied for their mummification techniques, were also utilized in medicine, believed to have healing properties due to misconceptions about their embalming process. The term mumiya, which originated in Mediaeval Arabic, came to denote both mummified bodies and bitumen due to misinterpretations by Latin translators of Islamic medical texts. Scholars like Al-Kindi, Rhazes, and Ibn Sina promoted bitumen as a treatment for various ailments. The confusion led to the use of actual mummy parts instead of bitumen, especially after supplies of this material dwindled in the 13th century. Scepticism about the therapeutic benefits of mumia vera grew, particularly after the 18th century, rais ing concerns on its possible harmful effects on patients. In this paper, by reassessing the works of André Thevet (1516-1590) and Ambroise Parè (1510-1590) in light of modern medical knowledge, we make the case for mumia vera Aegyptiaca to have been a potentially harmful form of pharmaceutical cannibalism
Installation and performance of the 3rd Veto plane at the SND@LHC detector
No full textDuring 2022/2023 the optimal inefficiency of the Veto system of the SND@LHC detector was measured to be (7.8 ± 2.8) × 10−8. To reduce this inefficiency, a third Veto plane was installed during the 2023-2024 Year End Technical Stop. In addition, the Veto system was lowered to cover the target fully, thereby increasing acceptance. This paper describes how the inefficiency of the Veto system was reduced from (7.8 ± 2.8) × 10−8 with an acceptance of about 64% of the target area in 2022–2023 to (4.9 ± 1.9) × 10−9 on the full area in 2024
Introducing sAIrcasm: A sample analysis of a custom Artificial Intelligence for linguistic and discursive sarcasm recognition
No full textThis contribution presents an innovative tool called ‘sAIrcasm’ powered by Artificial Intelligence (AI). Challenges concerning the use of Artificial Intelligence and Natural Language Processing (NLP) in linguistics have been the subject of recent debate; one of the major challenges concerns the automatic detection of complex communicative phenomena, such as sarcasm. Several attempts have been made, but the complexity of the task has not yet led to the creation of an effective tool providing human-like results. This article presents a custom GPT model capable of identifying sarcasm and making pragmatic inferences based on context-dependent verbal and paraverbal cues. This study considers a Facebook video analyzed by both a custom artificial intelligence model and the free version of ChatGPT, providing insights into the broader implications of AI-based models in linguistic studies, with a specific focus on whether they can perform human-like cognitive processes
