Hasil untuk "Oratory. Elocution, etc."

Vincenzo Maggitti

Recensione di Ilaria Aletto, Lo sguardo della coscienza. La ricezione di Joyce nell’estetica di Ėjzenštein. Roma TrE-Press, 2025.

Erika Bonardi

Questo contributo intende esplorare la dimensione esperienziale dell’atto di lettura all’interno del paradigma innaturale, al fine di un confronto tra critica letteraria e didattica della letteratura. Considerando la potenzialità immaginativa e cognitiva di trame dall’alto grado di dissonanza, si propone di verificare, da una prospettiva teorica ed applicativa, le strategie ermeneutiche adottate dai lettori di fronte alle incongruenze anti-mimetiche a livello di forma e contenuto. Sarà necessario dapprima individuare gli attributi del racconto innaturale e le principali modalità di lettura che esso innesca secondo i teorici che se ne sono occupati. In un secondo momento, si delineerà un percorso didattico-sperimentale volto a valutare, in un contesto educativo, l’efficacia di una narrazione innaturale. Le risposte dei lettori verranno analizzate ed interpretate considerando specifiche categorie cognitive. In ultimo, si tenterà di operazionalizzare i processi diretti ed indiretti di immedesimazione al fine di vagliare il grado di coincidenza – o, eventualmente, di discordanza – rispetto alle ipotesi sostenute.

Zeyad M. Manaa, Ayman M. Abdallah, Mohamed Ismail et al.

Event-triggered Control (ETC) presents a promising paradigm for efficient resource usage in networked and embedded control systems by reducing communication instances compared to traditional time-triggered strategies. This paper introduces a novel approach to ETC for discrete-time nonlinear systems using a data-driven framework. By leveraging Koopman operator theory, the nonlinear system dynamics are globally linearized (approximately in practical settings) in a higher-dimensional space. We design a state-feedback controller and an event-triggering policy directly from data, ensuring exponential stability in Lyapunov sense. The proposed method is validated through extensive simulation experiments, demonstrating significant resource savings.

Stefania Sini

Recensione di Giulio Iacoli, Mascolinità in gioco. Politiche della rappresentazione in Buzzati. Quaderni del Centro Buzzati, Fabrizio Serra, 2023. 

Ihab A. Satam, Róbert Szabolcsi

Brain computer interface (BCI) applications in robotics are becoming more famous and famous. People with disabilities are facing a real-time problem of doing simple activities such as grasping, handshaking etc. in order to aid with this problem, the use of brain signals to control actuators is showing a great importance. The Emotive Insight, a Brain-Computer Interface (BCI) device, is utilized in this project to collect brain signals and transform them into commands for controlling a robotic arm using an Arduino controller. The Emotive Insight captures brain signals, which are subsequently analyzed using Emotive software and connected with Arduino code. The HITI Brain software integrates these devices, allowing for smooth communication between brain activity and the robotic arm. This system demonstrates how brain impulses may be utilized to control external devices directly. The results showed that the system is applicable efficiently to robotic arms and also for prosthetic arms with Multi Degree of Freedom. In addition to that, the system can be used for other actuators such as bikes, mobile robots, wheelchairs etc.

Stefania Sini

In ricordo di Costanzo Di Girolamo (1948-2022).

Tuhina Ghorui, Prabir Rudra, Farook Rahaman

In this paper, we explore a reconstruction scheme in the background of the $f(T,\mathcal{T})$ gravity theory for different cosmological scenarios, where $T$ is the scalar torsion and $\mathcal{T}$ is the trace of the energy-momentum tensor. Using the reconstruction technique $f(T, \mathcal{T})$ Lagrangian is constructed for different cosmological eras such as dust, $ΛCDM$, perfect fluid, etc. Both minimal and non-minimal matter-coupled models are considered for this purpose. Different cosmological scenarios such as power law expansion, de-Sitter expansion, etc. have been considered, and using them Lagrangian functionals are constructed. Mathematical viabilities of all the constructed functionals have been investigated. The physical implications of the obtained solutions are discussed in detail. To check the cosmological compatibility of the constructed $f(T,\mathcal{T})$ functionals we have generated plots of important parameters like the equation of state parameter and deceleration parameter. It is seen that the reconstructed models are perfectly compatible with the late-time accelerated expansion of the universe.

Md. Abdur Rashid, Masahiko Higuchi, Katsuhiko Higuch

In this study, we conducted a numerical investigation on the Hall conductance ($σ_{Hall}$) of graphene based on the magnetic energy band structure calculated using a nonperturbative magnetic-field-containing relativistic tight-binding approximation (MFRTB) method. The nonperturbative MFRTB can revisit two types of plateaus for the dependence of $σ_{Hall}$ on Fermi energy. One set is characterized as wide plateaus (WPs). These WPs have filling factors (FFs) of 2, 6, 10, 14, etc. and are known as the half-integer quantum Hall effect. The width of WPs decreases with increasing FF, which exceeds the decrease expected from the linear dispersion relation of graphene. The other set is characterized by narrow plateaus (NPs), which have FFs of 0, 4, 8, 12, etc. The NPs correspond to the energy gaps caused by the spin-Zeeman effect and spin-orbit interaction. Furthermore, it was discovered that the degeneracy of the magnetic energy bands calculated using the nonperturbative MFRTB method leads to a quantized $σ_{Hall}$.

Otto Boele

Drawing on Michel de Certeau’s seminal study The Practice of Everyday Life, the author argues that Dmitrii Danilov’s travel writing (Twenty Cities, 2007-2009) reimagines Russia’s symbolic geography by destabilizing the traditional opposition centre – periphery. Rather than depicting the provincial world as either an absurd and horrid world, or as a repository of “true Russianness”, Danilov provides a “decentred” perspective on the provinces that asserts the uniqueness of each city he visits. The novel Description of a City (2012), however, resurrects the more traditional view of the provinces as a world of boredom and cultural lack. To analyse this development the article looks at the central figure of the sluggish traveller-narrator, the employment of “camera-eye narration” and other, mainly linguistic, devices that reaffirm the notion of the provincial city’s “namelessness” as one of its most defining characteristics.

Jianlei Kong, Xiaomeng Fan, Xue-Bo Jin et al.

Accurate traffic flow prediction, a hotspot for intelligent transportation research, is the prerequisite for mastering traffic and making travel plans. The speed of traffic flow can be affected by roads condition, weather, holidays, etc. Furthermore, the sensors to catch the information about traffic flow will be interfered with by environmental factors such as illumination, collection time, occlusion, etc. Therefore, the traffic flow in the practical transportation system is complicated, uncertain, and challenging to predict accurately. This paper proposes a deep encoder-decoder prediction framework based on variational Bayesian inference. A Bayesian neural network is constructed by combining variational inference with gated recurrent units (GRU) and used as the deep neural network unit of the encoder-decoder framework to mine the intrinsic dynamics of traffic flow. Then, the variational inference is introduced into the multi-head attention mechanism to avoid noise-induced deterioration of prediction accuracy. The proposed model achieves superior prediction performance on the Guangzhou urban traffic flow dataset over the benchmarks, particularly when the long-term prediction.

Lorenzo Cardilli

abstract

P. Santhanam

In the past decade, Artificial Intelligence (AI) has become a part of our daily lives due to major advances in Machine Learning (ML) techniques. In spite of an explosive growth in the raw AI technology and in consumer facing applications on the internet, its adoption in business applications has conspicuously lagged behind. For business/mission-critical systems, serious concerns about reliability and maintainability of AI applications remain. Due to the statistical nature of the output, software 'defects' are not well defined. Consequently, many traditional quality management techniques such as program debugging, static code analysis, functional testing, etc. have to be reevaluated. Beyond the correctness of an AI model, many other new quality attributes, such as fairness, robustness, explainability, transparency, etc. become important in delivering an AI system. The purpose of this paper is to present a view of a holistic quality management framework for ML applications based on the current advances and identify new areas of software engineering research to achieve a more trustworthy AI.

Xiaoyang Guo, Anuj Srivastava

Past approaches for statistical shape analysis of objects have focused mainly on objects within the same topological classes, e.g., scalar functions, Euclidean curves, or surfaces, etc. For objects that differ in more complex ways, the current literature offers only topological methods. This paper introduces a far-reaching geometric approach for analyzing shapes of graphical objects, such as road networks, blood vessels, brain fiber tracts, etc. It represents such objects, exhibiting differences in both geometries and topologies, as graphs made of curves with arbitrary shapes (edges) and connected at arbitrary junctions (nodes). To perform statistical analyses, one needs mathematical representations, metrics and other geometrical tools, such as geodesics, means, and covariances. This paper utilizes a quotient structure to develop efficient algorithms for computing these quantities, leading to useful statistical tools, including principal component analysis and analytical statistical testing and modeling of graphical shapes. The efficacy of this framework is demonstrated using various simulated as well as the real data from neurons and brain arterial networks.

Flavio Ermini

La nostra epoca è superficiale e vana, senza spessore né profondità; cristallizzata com’è nei concetti della scienza e della tecnica. È necessario pensare a un ricominciamento suscitato dall’essere, per inaugurare alfine una sovversione del pensiero. Un ricominciamento? E come? Come pretende la parola poetica, va fatto sì che le stelle – tutte – vengano lasciate al cielo e ai nomi che solo il cielo può loro attribuire. Solo così sarà possibile testimoniare lo spostamento della questione dell’essere dal piano dell’esistente a quello dell’essere stesso; uno spostamento che ci dispone a sottrarci all’esilio e a dimorare ai confini inesplorati della lingua.

Rossella Liuzzo

L’articolo mette a confronto la comedia secentesca La viuda valenciana (1599) di Lope de Vega e la sua ricreazione televisiva per Estudio 1 (2010), al fine di evidenziare come, mutando il genere e i rispettivi contesti di fruizione, si delineino delle specifiche configurazioni di spettatorialità rispetto all’erotismo. Nella fattispecie, utilizzando il paradigma di regime scopico – inteso con Jay come la concrezione storica di una specifica pratica visuale determinata dall’interplay fra lo sguardo, le immagini che ad esso si offrono, e le convenzioni che ne consentono la fruizione –, le pagine che seguono mirano ad esplorare i meccanismi che regolano e dirigono la percezione della scena erotica, sia all’interno del dispositivo teatrale barocco che nella ricreazione televisiva.

Oscar Sheynin

This book covers the history of probability up to Kolmogorov with essential additional coverage of statistics up to Fisher. Based on my work of ca. 50 years, it is the only suchlike book. Gorrochurn (2016) is similar but his study of events preceding Laplace is absolutely unsatisfactory. Hald (1990; 1998) are worthy indeed but the Continental direction of statistics (Russian and German statisticians) is omitted, it is impossible to find out what was contained in any particular memoir of Laplace and the explanation does not always explain the path from, say, Poisson to a modern interpretation of his results. Finally, the reader ought to master modern math. statistics. I included many barely known facts and conclusions, e. g., Gauss' justification of least squares (yes!), the merits of Bayes (again, yes!), the unforgivable mistake of Laplace, the work of Chebyshev and his students (merits and failures) etc., etc. The book covers an extremely wide field, and is targeted at the same readers as any other book on history of science. Mathematical treatment is not as difficult as it is for readers of Hald.

Paula Yurss Lasanta

British author Helen Maria Williams (1759-1827) was a well-known figure in the eighteenth century literary circles, whose work was praised by Elizabeth Montagu, Samuel Johnson, Dorothy and William Wordsworth, Mary Wollstonecraft, Hester Piozzi or Alexander von Humboldt.  In her early poems  Edwin and Eltruda (1782), An Ode to the Peace (1783) and Peru (1784), Williams starts to reveal her political tendencies by appealing to strong empathic feelings as a key to social and political transformation. As a result of her interest in politics, she travelled to France in 1790 and published her most acclaimed work Letters from France (1790). However, the rest of her production has received little critical attention by modern scholars, who have overlooked her involvement in translation. Williams’ only extant novel, Julia (1790) is in fact a creative translation of Rousseau’s Julie ou La Nouvelle Héloïse (1761), in which Williams includes poems that evidence her interest in revolutionary politics. Four years later, she translated Bernardin de Saint Pierre’s Paul et Virginie, while she was imprisoned in Paris. While translating novels was regarded as a respectable exercise for women writers, Williams challenges gender assumptions by translating Researches (1814) and the seven volumes of Personal Narrative (1814-1829), which had been produced by one of the most influential eighteenth century scientists, Alexander von Humboldt. This article interrogates how Williams makes use of translation to access areas of knowledge traditionally restricted to men, such as philosophy, politics and science. For this purpose, I will focus on her translations of the work of two leading intellectual figures of the eighteenth century,  Rousseau and Von Humboldt.

Emanuele Canzaniello

Introduzione al numero speciale dedicato alla forma del romanzo di famiglia contemporaneo tra centri e periferie, a cura di Elisabetta Abignente e Emanuele Canzaniello. Il numero presenta i risultati del progetto STAR 2014 Linea 1 dal titolo The family novel. Intergenerational Novels, Family Memoirs, Changing Society in Changing Fiction Forms. New Approaches to the Family Novel in European and American Literature from 1950 to 2010 che si è svolto presso il Dipartimento di Studi Umanistici dell'Università di Napoli Federico II dal 1 settembre 2015 al 30 novembre 2017. Il team di ricerca era composto da Elisabetta Abignente, Francesco Arcidiacono, Emanuele Canzaniello, Francesco de Cristofaro, Karen Haddad, Giovanni Maffei, Matteo Palumbo.   Introduction to the special issue on the contemporary family novel between centre and periphery, edited by Elisabetta Abignente and Emanuele Canzaniello. The issue presents the results of the STAR 2014 Linea 1 Project entitled The family novel. Intergenerational Novels, Family Memoirs, Changing Society in Changing Fiction Forms. New Approaches to the Family Novel in European and American Literature from 1950 to 2010, carried out at the Dipartimento di Studi Umanistici dell’Università di Napoli Federico II from September 1, 2015 to November 30, 2017.

Avikalp Srivastava, Madhav Datt

Semantic similarity based retrieval is playing an increasingly important role in many IR systems such as modern web search, question-answering, similar document retrieval etc. Improvements in retrieval of semantically similar content are very significant to applications like Quora, Stack Overflow, Siri etc. We propose a novel unsupervised model for semantic similarity based content retrieval, where we construct semantic flow graphs for each query, and introduce the concept of "soft seeding" in graph based semi-supervised learning (SSL) to convert this into an unsupervised model. We demonstrate the effectiveness of our model on an equivalent question retrieval problem on the Stack Exchange QA dataset, where our unsupervised approach significantly outperforms the state-of-the-art unsupervised models, and produces comparable results to the best supervised models. Our research provides a method to tackle semantic similarity based retrieval without any training data, and allows seamless extension to different domain QA communities, as well as to other semantic equivalence tasks.

Biao Zhao, Shigang Yue

Image feature matching is to seek, localize and identify the similarities across the images. The matched local features between different images can indicate the similarities of their content. Resilience of image feature matching to large view point changes is challenging for a lot of applications such as 3D object reconstruction, object recognition and navigation, etc, which need accurate and robust feature matching from quite different view points. In this paper we propose a novel image feature matching algorithm, integrating our previous proposed Affine Invariant Feature Detector (AIFD) and new proposed Affine Invariant Feature Descriptor (AIFDd). Both stages of this new proposed algorithm can provide sufficient resilience to view point changes. With systematic experiments, we can prove that the proposed method of feature detector and descriptor outperforms other state-of-the-art feature matching algorithms especially on view points robustness. It also performs well under other conditions such as the change of illumination, rotation and compression, etc.