3,733 research outputs found
Introduzione di Simone Arcagni e Lucio Argano
No full textIntroduzione al Libro bianco sullo spettacolo digitale dal vivo in Itali
Fra Tiziano, Simone Bianco e Pietro Aretino. Intorno a tre sonetti di Girolamo Molin
No full textAmong the Rime (1573) of the Venetian poet Girolamo Molin (1500-69) there are three poems dedicated to Titian and to the tuscan sculptor Simone Bianco which went up to now overlooked. A first sonnet (Sì pronta e bella, il buon mastro gentile, c. 98V) fits the tradition of Renaissance poetry describing female portraits: the sitter can be identified with Elisabetta Querini or Irene di Spilimbergo. Two more sonnets in form of a 'diptych' (cc. I03V-4r) celebrate a portrait carved in marble by Simone Bianco: it is probably the bust of Marcella Marcello (Molin's sister-in-law) which was also described in a letter by Pietro Aretino. Molin's poems and Aretino's letter are analysed and contextualised in the framework of the dialogue between art and poetry in sixteenth-century Venice
Il quotidiano e il sublime. Note su Claudio Damiani e Stefano Dal Bianco
No full textInquadramento critico dello stile della poesia di Claudio Damiani e Stefano Dal Bianco
sj-docx-1-jht-10.1177_10963480221085215 – Supplemental material for Disruptor Recognition and Market Value of Incumbent Firms: Airbnb and the Lodging Industry
No full textSupplemental material, sj-docx-1-jht-10.1177_10963480221085215 for Disruptor Recognition and Market Value of Incumbent Firms: Airbnb and the Lodging Industry by Simone Bianco, Florian J. Zach and Manisha Singal in Journal of Hospitality & Tourism Research</p
Common issues and human intervention in object detection from handcrafted features to deep learning: discussion
No full textWhile in traditional methods object detection is based on the handcrafted definition of relevant visual features and rules, in machine/deep learning methods this task is achieved by learning both features and rules from a training set. The traditional and machine/deep learning object detection workflows are often described as opposite because in the traditional framework, the visual features and rules to detect the object of interest are provided as input, while in the machine/deep learning-based framework they are automatically learned from the data depending on the task considered and constitute the final trained model. In this work, we analyze the object detection recipe, and we show that these two approaches actually present three common issues that require human supervision and ad hoc procedures to be addressed: the design of an object model suitable for the context, devices, and task at hand; the achievement of detection robustness against several factors like noise, image quality, changes in geometry, and light variations; and the definition of an appropriate matching function. We also briefly review some common metrics for evaluating object detection performance, proving that human intervention is crucial in this task as well. Our analysis aims at fostering a more aware use of the object detection approaches and stimulating new research for automating—where possible—the tasks that humans are still in charge of
Living the death: death attitudes and representations after a near-death experience
No full textOver the last 40 years, since Moody’s (1975) seminal work, Near Death experiences (NDEs) have been being at the centre of several academic investigations in in psychology, philosophy and medicine, and the debate on its nature is still in progress (Agrillo, 2011). This topic widely extends the scientists’ and philosophers’ reflections on the relationship between mind and brain, life and death, as well as the entire ontological question (Moody, 1975; Rousseau, 2011; Fenwick 2012).
Until now, a number of authors tried to investigate and propose an interpretation of NDE. In existing literature, we observe a predominance of opinion articles, review articles, and papers, which describe NDE’s features. A recent work, that offers a review of the literature, highlights a lack of empirical studies that test explanatory hypotheses by using original data (Sleutjes et al., 2014). Direct studies of the phenomenon in lab, or at least in a controlled condition, are not possible, given the subjective and extraordinary nature of this experience (see paragraph 1.1 for an extensive description). Thus, the investigation of what NDE produces in people (e.g., memories of the experience or the so-called NDE aftereffects) could represent a more suitable way to explore NDE nature, since if we can assess objectively differences between people who had a NDE and people who had not, we could be able to derive indirectly information about NDE.
In this study, we focus on a widely reported aftereffect, which is not still understood: NDErs’ loss or reduction of fear of death (Tassel-Matamua & Lindsay, 2016). In order to explore the processes underlining the loss of fear of death in people who had a NDE, we apply a mixed methodology, in which explicit and implicit measures are included. The general aim of this study is to investigate conscious and unconscious death anxiety and death representations in people who had a NDE, and to provide insights on the nature of this fascinating phenomenon.
In the first chapter, the theoretical framework of the study is provided. NDE has been described as an intense phenomenon that leads to a variety of psychological and interpersonal aftereffects. In this section, a number of theoretical models are extensively described in order to provide a useful framework to interpret this phenomenon. Moreover, a review on the death anxiety concept and the measures of fear of death is provided, highlighting differences between conscious fear of death, usually assessed with self-report instruments, and unconscious reaction toward death, assessed using implicit measures. Finally, Terror Management Theory (TMT) is introduced, as one of the most relevant models that describe human reactions toward death. In this piece of research, NDE is studied for the first time within a TMT framework, producing interesting implications that are discussed in last chapter.
In the second chapter, the method is presented. In order to test our hypotheses and to integrate different perspectives and methodologies, participants’ death attitude is assessed using self-report scales, open ended questions, and an implicit measure of what is called “Death Thought Accessibility”, that it is an indirect measure of psychologically defensive reactions toward death.
In the third chapter, results are reported, showing differences between people who had a NDE and those who do not. Specifically, people who had a near death experience reported less fear of death, more death acceptance, and a different representation of death with respect to individuals who had not have a NDE.
In the fourth chapter, discussion of results and suggestions for future research are provided
Intraday LeBaron effects
No full textWe study the relation at intraday level between serial correlation and volatility of the Standard and Poor (S&P) 500 stock index futures returns. At daily and weekly levels, serial correlation and volatility forecasts have been found to be negatively correlated (LeBaron effect). After finding a significant attenuation of the original effect over time, we show that a similar but more pronounced effect holds by using intraday measures, by such as realized volatility and variance ratio. We also test the impact of unexpected volatility, defined as the part of volatility which cannot be forecasted, on the presence of intraday serial correlation in the time series by employing a model for realized volatility based on the heterogeneous market hypothesis. We find that intraday serial correlation is negatively correlated to volatility forecasts, whereas it is positively correlated to unexpected volatility
Modified POF Sensor for Gaseous Hydrogen Fluoride Monitoring in the Presence of Ionizing Radiations
No full textThis paper describes the development of a sensor designed to detect low concentrations of hydrogen fluoride (HF) in gas mixtures. The sensor employs a plastic optical fiber (POF) covered with a thin layer of glass- like material. HF attacks the glass and alters the fiber transmission capability so that the detection simply requires a LED and a photodiode. The coated POF is obtained by means of low-pressure plasma-enhanced chemical vapor deposition that allows the glass-like film to be deposited at low temperature without damaging the fiber core. The developed sensor will be installed in the recirculation gas system of the resistive plate chamber muon detector of the Compact Muon Solenoid experiment at the Large Hadron Collider accelerator of the European Organization for Nuclear Research (CERN
Gli effetti della patologia respiratoria cronica sulla muscolatura
No full textRespiratory rehabilitation is indicated in all thoraco-pulmonary system diseases
in addition to pharmacologic treatment.
However, COPD remains the main disease receiving rehabilitative treatments. The
primary objective of rehabilitation is to improve the physical performance and reducing
dyspnoea. The individual’s rehabilitation plan is designed to achieve restoration of
both respiratory and limb muscle strength.La riabilitazione respiratoria trova indicazione in tutte le patologie coinvolgenti
il sistema toraco-polmonare nei diversi stadi di malattia come opzione terapeutica
complementare al trattamento farmacologico previsto. Tuttavia, è la BPCO la
patologia maggiormente trattata in riabilitazione. Lo scopo principale del trattamento
riabilitativo per i pazienti con BPCO è quello di migliorare la performance fisica
e la tolleranza fisica allo sforzo riducendo la spiacevole sensazione dispnoica. Il
programma di riabilitazione personalizzato alle esigenze del singolo paziente, stilato
dal team riabilitativo mira sostanzialmente al recupero della forza e della resistenza
dei muscoli, sia respiratori che degli arti
University teaching and inclusion during the Covid-19 outbreak. A pilot study in Italy
No full textThe present paper starts with the analysis of the pedagogical movement called Student Voice (CookSather, 2014) in the Italian context (Grion, 2017; D’Angelo et al., 2020), with the aim to identify
strategies to implement inclusion at the University (Giaconi, 2015; D’Angelo, Del Bianco, 2019). In
line with these premises, a research group in the Pedagogy and Special Didactics field, from the
University of Macerata, has carried out a pilot study with University students with Disabilities and with
Specific Learning Disorders (Giaconi, Capellini, 2015; Del Bianco, 2019), with the aim to understand
if the online learning environment set up by the University was accessible or not and which didactic
strategies favoured learning the most.
Specifically, the discussion will deepen how the Voices of all students can be recorded even during an
emergency period, such as the COVID-19 outbreak, and how students’ feedback can be the first step to
start new cooperation in the implementation of educational paths, where dialogue and critical
confrontation represent crucial elements to direct inclusive processes in the University environment
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