Hasil untuk "Oratory. Elocution, etc."

Dimitra Kyriakopoulou

We study uniqueness of an elliptic Riemannian polyhedron using the elliptic version for Boundary Control method, which we presented in [1]. We also present interface detection criteria for hyperbolic Riemannian manifolds through introduction of the waveguide notion, the four-wave mixing notion, etc.

Jamshid Sourati, Grace Shao

Uncertainty of scientific findings are typically reported through statistical metrics such as $p$-values, confidence intervals, etc. The magnitude of this objective uncertainty is reflected in the language used by the authors to report their findings primarily through expressions carrying uncertainty-inducing terms or phrases. This language uncertainty is a subjective concept and is highly dependent on the writing style of the authors. There is evidence that such subjective uncertainty influences the impact of science on public audience. In this work, we turned our focus to scientists themselves, and measured/analyzed the subjective uncertainty and its impact within scientific communities across different disciplines. We showed that the level of this type of uncertainty varies significantly across different fields, years of publication and geographical locations. We also studied the correlation between subjective uncertainty and several bibliographical metrics, such as number/gender of authors, centrality of the field's community, citation count, etc. The underlying patterns identified in this work are useful in identification and documentation of linguistic norms in scientific communication in different communities/societies.

Qingyu Qu, Wei Ruan

We present FractionalDiffEq.jl, a comprehensive solver suite for solving fractional differential equations, featuring high-performance numerical algorithms in the Julia programming language. FractionalDiffEq.jl is designed to be user-friendly and scalable, tackling different types of fractional differential equations, encompassing powerful numerical algorithms including predictor-corrector methods, product-integral methods, and linear multistep methods, etc, and providing a unifying API to accommodate diverse solver features. This paper illustrates the convenient usage of FractionalDiffEq.jl in modeling various scientific problems, accompanied by detailed examples and applications. FractionalDiffEq.jl leverages best practices in Julia to ensure the high performance of numerical solvers. To validate the efficiency of FractionalDiffEq.jl , we conducted extensive benchmarks that prove the superiority of FractionalDiffEq.jl against other implementations on both stiff and non-stiff problems. We further demonstrate its capability on several challenging real-life scenarios including parameter estimation in fractional-order tequila fermentation processes, and harmonic oscillator problems, etc, emphasizing the robustness and flexibility of FractionalDiffEq.jl.

Sandra Llopart Babot

Mary Wollstonecraft’s A Vindication of the Rights of Woman (1792), is nowadays presented as a foundational text for modern feminism. Its rapid rendering into European languages such as French and German contrasts with the late translation into Spanish, which was not published until 1977. Nevertheless, the twenty-first century has witnessed a renewed interest in the figure of Wollstonecraft and her role as a precursor of the first feminist wave in Europe. Within this framework, this study examines Wollstonecraft’s public reception in Spain through contemporary (re)translations of her work. For this purpose, attention is paid to translations into Spanish and other co-official languages published during the first two decades of the twenty-first century, as well as the author’s public reception in Spanish newspapers. This research, thus, attests to the recent process of recovery of Wollstonecraft’s work in Spain and underscores her iconic role in contemporary local and international feminist discourses. 

M. Rengel

This paper corresponds to an invited oral contribution to the session 5A organised by the IAU inter-commission B2-B5 working group (WG) "Laboratory Astrophysics Data Compilation, Validation and Standardization: from the Laboratory to FAIR usage in the Astronomical Community" at the IAU 2022 General Assembly (GA). This WG provides a platform where to discuss the Findability, Accessibility,Interoperability, Reuse (FAIR) usage of laboratory Atomic and Molecular (A&M) data in astronomy and astrophysics. A&M data play a key role in the understanding of the physics and chemistry of processes in several research topics, including planetary science and interdisciplinary research in particular the atmospheres of planets and planetary explorations, etc. Databases, compilation of spectroscopic parameters, and facility tools are used by computer codes to interpret spectroscopic observations and simulate them. In this talk I presented existing A&M databases of interest to the planetary community focusing on access, organisation, infrastructures, limitations and issues, etc.

Michael Kopp

Recent progress in deep learning, a special form of machine learning, has led to remarkable capabilities machines can now be endowed with: they can read and understand free flowing text, reason and bargain with human counterparts, translate texts between languages, learn how to take decisions to maximize certain outcomes, etc. Today, machines have revolutionized the detection of cancer, the prediction of protein structures, the design of drugs, the control of nuclear fusion reactors etc. Although these capabilities are still in their infancy, it seems clear that their continued refinement and application will result in a technological impact on nearly all social and economic areas of human activity, the likes of which we have not seen before. In this article, I will share my view as to how AI will likely impact asset management in general and I will provide a mental framework that will equip readers with a simple criterion to assess whether and to what degree a given fund really exploits deep learning and whether a large disruption risk from deep learning exist.

Giuseppe Carrara

Il saggio indaga i meccanismi di rimozione e di false memorie nelle narrazioni fototestuali. In particolare si cercherà di proporre una tipologia in grado di categorizzare i modi in cui l’oblio prende forma attraverso varie modalità di esclusione di un’immagine dal campo visivo del lettore. Le foto lasciano, così, uno spazio interpretativo al lettore che si trova davanti a una situazione enigmatica continuamente interrogata dalla parola.

Patel Adam Burhansab, M Sadik Batcha, Muneer Ahmad

The paper aims to present the results of a survey of academic libraries about the adoption and perceived impact of Web 2.0 technologies. A total of 26 college libraries affiliated with Solapur University participated among the members. It was found that each library was using some form of technology, such as RSS, blogs, social networking sites, wikis, and instant messaging. Analyzing the entire college web technology usages, it is observed from the results that most of the web technologies are not used by the mainstream of the users due to lack of awareness, training, etc. Accurate and appropriate training should be conducted by the colleges' Libraries according to the necessities of the users. Systematic training will inevitably help the user for the maximum utilization of e-resources of the library. The leading web technologies such as internet surfing, emails, search engines, wikis, photo sharing, etc. are used by a great number of users on a daily and weekly basis of frequency. On the other hand majority of the web technologies are never used by a great number of users.

Davide Luglio

Riprendendo la nozione foucaultiana di episteme, la tesi che intendiamo difendere è che tra gli anni Ottanta e Novanta del XX secolo si è consumata una rottura epistemica in occidente che ha avuto un impatto evidente anche sulla letteratura. Tale rottura è misurabile in particolare se si guarda al paradigma attorno al quale si riconfigurano le scienze umane e sociali. Se tale paradigma a partire dalla fine dell’Ottocento e per buona parte del Novecento è, secondo Foucault, la scoperta dell’inconscio, noi formuliamo l’ipotesi che, tra XX e XXI secolo, l’episteme si sia riconfigurata attorno al paradigma della mente così come è stata ridefinita dalle scienze cognitive, generando una nuova concezione dell’uomo e dei saperi. La letteratura e il personaggio letterario rappresentano il rivelatore della nuova episteme ma, in alcuni casi, conformemente alla concezione foucaultiana della letteratura, possono costituire anche uno spazio che si sottrae ad essa, che le resiste

María Isabel López Martínez, María José Rebollo Ávalos

La mitología contemporánea -creada en los últimos siglos o producto de una relectura de los mitos clásicos en el presente- se ve condicionada por la lengua y la cultura donde se forja y es recibida. Ello se agudiza cuando existe un intercambio de mitos entre Oriente y Occidente. Entonces la traducción actúa como elemento fundamental en la transmisión. Además, la traducción comporta una tensión entre los significados en la lengua original y en la terminal, muy compleja cuando se abordan culturas diferentes. Según estos planteamientos, se estudian revisiones actuales de mitos producidas en la literatura del mundo árabe que han llegado al lector occidental, y específicamente al de lengua española.  En concreto, se atiende a la reinterpretación y ruptura del mito de Superman que lleva a cabo la escritora Joumana Haddad (Beirut, 1970) a través de la aplicación de los rasgos de tal figura al hombre árabe actual.

Raffaele Donnarumma

Presentazione della sezione sull’antropologia del personaggio letterario contemporaneo

Giacomo Raccis

Il personaggio-artista è una figura ricorrente nella produzione narrativa italiana degli ultimi decenni, a dimostrazione della lunga durata della tradizione del romanzo dell’artista e anche di una sua centralità nell’immaginario contemporaneo. A fronte di questa presenza continua, mancano però in Italia studi dedicati in maniera specifica all’analisi di questo personaggio, che richiede un ricorso a strumenti metodologici differenti in virtù della sua collocazione all’incrocio tra diversi piani della costruzione del senso di un testo. Le nozioni cardine elaborate nell’ambito dei visual studies – oggi dominanti nell’ambito delle interazioni tra letteratura e arti visive – necessitano infatti di essere integrate con l’indagine di aspetti narratologici e anche sociologici che la sua figura chiama in causa. Contestualizzando il problema e analizzando le implicazioni che questo carattere determina all’interno di una narrazione, in questo intervento si propone un primo, embrionale tentativo di elaborare i fondamenti di una teoria del personaggio-artista nel romanzo italiano contemporaneo, allo scopo di dare una base metodologica per futuri approfondimenti.

Andrea Palermitano

Le città invisibili di Calvino dal 1974 – anno delle prime edizioni straniere – a oggi sono state tradotte in 42 lingue e pubblicate in 46 paesi. Questo contributo approfondisce i casi dei Paesi che sono più rappresentativi e contraddistinguono le peculiarità della ricezione delle Città invisibili, esplorandone la fortuna internazionale per permettere di analizzare lo statuto di classico del Novecento dell’opera e il modo attraverso cui è riuscita a inserirsi all’interno del canone letterario del secolo scorso. Tra i vari elementi presi in esame ci sono le tempistiche delle edizioni, la pubblicazione in determinate collane, il peso assunto da editori e traduttori e il riconoscimento della critica estera.

Ada D'Agostino

L’intervento si concentra su alcuni aspetti del dattiloscritto di Se una notte d’inverno un viaggiatore. Dopo una breve descrizione delle caratteristiche che determinano la complessità del documento, si propone, in particolare, una lettura di alcune correzioni d’autore, e a partire da queste ultime si suggeriscono alcune ipotesi circa la possibile collocazione di questo testimone all’interno della storia del testo.

Giuseppe Carrara

L’obiettivo di questo articolo è analizzare le modalità in cui la dimensione del gioco incontra quella del sesso nelle rappresentazioni letterarie dell’erotismo in alcune opere di David Foster Wallace, Michel Houellebecq e Walter Siti. Nello specifico si sottolineerà come la rappresentazione dei giochi sessuali e, in particolare, del sesso sadomaso sia utilizzata dai tre autori per condurre un discorso parallelo sulla volontà di potenza e di possesso come risposta a una diffusa incapacità di amare dei loro personaggi. The aim of this paper is to analyze the ways in which sex and games interplay in the literary works of David Foster Wallace, Michel Houellebecq and Walter Siti. In particular I will focus on the representation of sexual games highlighting the discourse on the desire for power and control through which the characters try to cope with the loss of love and meaning in the contemporary world.

Francesca Medaglia

Questo intervento ha lo scopo di indagare la costruzione dell’autobiographical self, alla luce delle attuali teorie narratologiche. L’intento del saggio è quello di analizzare non solo gli stili narrativi e le tradizioni culturali del contesto sociale da cui la narrazione prende le mosse, ma soprattutto la possibile distanza tra la costruzione del self occidentale e quello orientale. L’analisi tenterà di comprendere se l’ampliamento del flusso transnazionale e la deterritorializzazione, che caratterizzano la contemporaneità, vengono presi in considerazione dalla cognitive narratology. In particolare, sarà focalizzata l’attenzione sulla capacità di questo filone teorico di tenere conto di tali cambiamenti e della fluidità dello storytelling contemporaneo, che conducono inevitabilmente alla necessità di strutture identitarie sicuramente più flessibili.

Cao Xiaodong, Chen Shuang

By applying the MC algorithm and the Bauer-Muir transformation for continued fractions, in this paper we shall give six examples to show how to establish an infinite set of continued fraction formulas for certain Ramanujan-type series, such as Catalan's constant, the exponential function, etc.

Raghavendra Bhat, Pravin Chandran, Juby Jose et al.

Performance of end-to-end neural networks on a given hardware platform is a function of its compute and memory signature, which in-turn, is governed by a wide range of parameters such as topology size, primitives used, framework used, batching strategy, latency requirements, precision etc. Current benchmarking tools suffer from limitations such as a) being either too granular like DeepBench [1] (or) b) mandate a working implementation that is either framework specific or hardware-architecture specific or both (or) c) provide only high level benchmark metrics. In this paper, we present NTP (Neural Net Topology Profiler), a sophisticated benchmarking framework, to effectively identify memory and compute signature of an end-to-end topology on multiple hardware architectures, without the need for an actual implementation. NTP is tightly integrated with hardware specific benchmarking tools to enable exhaustive data collection and analysis. Using NTP, a deep learning researcher can quickly establish baselines needed to understand performance of an end-to-end neural network topology and make high level architectural decisions. Further, integration of NTP with frameworks like Tensorflow, Pytorch, Intel OpenVINO etc. allows for performance comparison along several vectors like a) Comparison of different frameworks on a given hardware b) Comparison of different hardware using a given framework c) Comparison across different heterogeneous hardware configurations for given framework etc. These capabilities empower a researcher to effortlessly make architectural decisions needed for achieving optimized performance on any hardware platform. The paper documents the architectural approach of NTP and demonstrates the capabilities of the tool by benchmarking Mozilla DeepSpeech, a popular Speech Recognition topology.

David Pánek, Tamás Orosz, Pavel Karban

The main goal of the Artap project is to provide an extensive infrastructure for robust design optimization, where usually many different numerical solvers have to be used together and the impact of the manufacturing uncertainties have to be minimized. Artap is an open-source software platform, developed jointly with the coupled numerical field solver, Agros Suite. Artap ensures interfaces for a broad collection of optimization algorithms (genetic and evolutionary algorithms, various interfaces to libraries such as Nlopt, Bayesopt, etc .), tools for machine learning (neural networks, Gaussian processes, etc. ), finite element solvers (Agros Suite, Comsol, Multiphysics, deal.II). The implemented tools offers an easy and straightforward solution not only for robust design optimization but parameter identification, model order reduction, and shape optimization, as well. Moreover, Artap provides automatic parallelization of the optimization process. The paper presents the structure of the framework and technologies powering the project. The main features of Artap are demonstrated on an induction brazing process design tasks.

Chandrasekaran Anirudh Bhardwaj, Megha Mishra, Kalyani Desikan

Nearest Neighbors Algorithm is a Lazy Learning Algorithm, in which the algorithm tries to approximate the predictions with the help of similar existing vectors in the training dataset. The predictions made by the K-Nearest Neighbors algorithm is based on averaging the target values of the spatial neighbors. The selection process for neighbors in the Hermitian space is done with the help of distance metrics such as Euclidean distance, Minkowski distance, Mahalanobis distance etc. A majority of the metrics such as Euclidean distance are scale variant, meaning that the results could vary for different range of values used for the features. Standard techniques used for the normalization of scaling factors are feature scaling method such as Z-score normalization technique, Min-Max scaling etc. Scaling methods uniformly assign equal weights to all the features, which might result in a non-ideal situation. This paper proposes a novel method to assign weights to individual feature with the help of out of bag errors obtained from constructing multiple decision tree models.