6,631 research outputs found
Contemporary Literature. Analysis of Jonathan Bazzi's novels
No full textopenDopo una breve panoramica della letteratura italiana degli ultimi vent’anni si analizzano i due romanzi di Jonathan Bazzi "Febbre" e "Corpi minori" dai punti di vista formale, stilistico e tematico. Si discute inoltre il rapporto tra social media, autofiction e autore; nel capitolo 4 si riporta l'intervista che Bazzi ci ha gentilmente concesso, in cui questi argomenti vengono ripresi.
Si individuano alcune differenze che i testi mostrano rispetto alla letteratura moderna, e gli aspetti che hanno in comune con quella contemporanea; nel fare questo si accennano quindi alcune caratteristiche della società che li ha prodotti.The paper starts off with a brief overview of the contemporary Italian literature; then the reader is guided through an analysis of Jonathan Bazzi's novels, "Febbre" ("Fever") and "Corpi minori" ("Minor bodies"), both translated in English and published by Scribe. The relationship between author, autofiction and social media will also be discussed; in chapter four the reader will find the interview Bazzi kindly granted us
Incorporating model accuracy into gravitational-wave Bayesian inference
No full textInferring the properties of colliding black holes from gravitational-wave observations is subject to systematic errors arising from modelling uncertainties. Although the accuracy of each model can be calculated through comparison to theoretical expectations from general relativity, Bayesian analyses are yet to incorporate this information. As such, a mixture model is typically used where results obtained with different gravitational-wave models are combined with either equal weight, or based on their relative Bayesian evidence. In this work we present a novel method to incorporate the accuracy of multiple models in gravitational-wave Bayesian analyses. By analysing simulated gravitational-wave signals in zero-noise, we show that our technique uses 30% less computational resources, and more faithfully recovers the true parameters than existing techniques. We envisage that this method will become an essential tool within ground-based gravitational-wave astronomy
On the use and interpretation of signal-model indistinguishability measures for gravitational-wave astronomy
No full textThe difference ("mismatch") between two gravitational-wave (GW) signals is often used to estimate the signal-to-noise ratio (SNR) at which they will be distinguishable in a measurement or, alternatively, when the errors in a signal model will lead to biased measurements. It is well known that the standard approach to calculate this "indistinguishability SNR" is too conservative: a model may fail the criterion at a given SNR, but not necessarily incur a biased measurement of any individual parameters. This problem can be solved by taking into account errors orthogonal to the model space (which therefore do not induce a bias), and calculating indistinguishability SNRs for individual parameters, rather than the full N-dimensional parameter space. We illustrate this approach with the simple example of aligned-spin binary-black-hole signals, and calculate accurate estimates of the SNR at which each parameter measurement will be biased. In general biases occur at much higher SNRs than predicted from the standard mismatch calculation. Which parameters are most easily biased depends sensitively on the details of a given waveform model, and the location in parameter space, and in some cases the bias SNR is as high as the conservative estimate. We also illustrate how the parameter bias SNR can be used to robustly specify waveform accuracy requirements for future detectors
Citizen participation in news
No full textThe process of producing news has changed significantly due to the advent of the Web, which has enabled the increasing involvement of citizens in news production. This trend has been given many names, including participatory journalism, produsage, and crowd-sourced journalism, but these terms are ambiguous and have been applied inconsistently, making comparison of news systems difficult. In particular, it is problematic to distinguish the levels of citizen involvement, and therefore the extent to which news production has genuinely been opened up. In this paper we perform an analysis of 32 online news systems, comparing them in terms of how much power they give to citizens at each stage of the news production process. Our analysis reveals a diverse landscape of news systems and shows that they defy simplistic categorisation, but it also provides the means to compare different approaches in a systematic and meaningful way. We combine this with four case studies of individual stories to explore the ways that news stories can move and evolve across this landscape. Our conclusions are that online news systems are complex and interdependent, and that most do not involve citizens to the extent that the terms used to describe them imply
Incorporation of model accuracy in gravitational-wave Bayesian inference
No full textInferring the properties of colliding black holes from gravitational wave observations is subject to systematic errors arising from modelling uncertainties. Although the accuracy of each model can be calculated through comparison to theoretical expectations from general relativity, Bayesian analyses are yet to incorporate this information. As such, a mixture model is typically used where results obtained with different gravitational wave models are combined with either equal weight or based on their relative Bayesian evidence. In this work we present a new method for incorporating the accuracy of several models into gravitational wave Bayesian analyses. By analysing simulated gravitational wave signals in zero noise, we show that our technique uses 30% less computational resources and more faithfully recovers the true parameters than existing techniques. We further apply our method to a real gravitational wave signal and, when assuming the binary black hole hypothesis, demonstrated that the source of GW191109_010717 has unequal component masses, with a 69% probability for the primary being above the maximum black hole mass from stellar collapse. We envisage that this method will become an essential tool for ground-based gravitational wave astronomy
The mechanical performance of adhesively bonded hydroxyapatite coatings
No full textSIGLEAvailable from British Library Document Supply Centre-DSC:DXN019107 / BLDSC - British Library Document Supply CentreGBUnited Kingdo
The Sarmatian Review, Vol. 26, No. 3
No full textContents: "Our Take";
"SR Index"; Dariusz Skórczewski, "Modern Polish Literature Through a Postcolonial Lens:
The Case of Paweł Huelle’s Castorp"; "BOOKS";
James R. Thompson, "Rising ’44: The Battle
for Warsaw" (review);
Patricia A. Gajda, "The Exile Mission: The Polish Political Diaspora and the Polish Americans, 1939–1956" (review); Piotr Wrobel, "The Massacre at Jedwabne, July 10, 1941: Before, During, and After"
(review); James E. Bjork, "Religion and the Rise of
Nationalism: A Profile of an East-Central European City" (review); Bogdan Czaykowski, "Polskie wizje Europy w XIX i XX wieku" (review); Jonathan Z. Ludwig, "Polish Encounters,
Russian Identity" (review);
Agata Brajerska-Mazur, "Warsaw Tales 2006: New Europe Writers’ Ink" (review); Mary Ann Furno, "Encounters: Philosophy
of History after Postmodernism" (review);
Louis E. Van Norman, "Poland: The Knight
Among Nations" (SR partial reprints);
"About the Authors
Heuristics for the score-constrained strip-packing problem
No full textThis paper investigates the Score-Constrained Strip-Packing Problem (SCSPP), a combinatorial optimisation problem that generalises the one-dimensional bin-packing problem. In the construction of cardboard boxes, rectangular items are packed onto strips to be scored by knives prior to being folded. The order and orientation of the items on the strips determine whether the knives are able to score the items correctly. Initially, we detail an exact polynomial-time algorithm for finding a feasible alignment of items on a single strip. We then integrate this algorithm with a packing heuristic to address the multi-strip problem and compare with two other greedy heuristics, discussing the circumstances in which each method is superior
Jonathan Kozol - 03/18/2002 - (Riall Lecture Series)
No full textBegun in 1988, the E. Pauline Riall Lecture Series brings to the University and community outstanding national lecturers in the field of education. The series was established by the late Miss Riall, long-time principal and teacher of the former Salisbury University's Campus School. A generous bequest was provided by Miss Riall's will to fund this special program.
Jonathan Kozol, Author, Activist, Teacher - 3/18/2002 (2 pm) and
(7:30 pm)https://www.youtube.com/watch?v=NO4ltRJDUF
Jonathan Kozol - 03/18/2002 - Afternoon Lecture - (Riall Lecture Series)
No full textBegun in 1988, the E. Pauline Riall Lecture Series brings to the University and community outstanding national lecturers in the field of education. The series was established by the late Miss Riall, long-time principal and teacher of the former Salisbury University's Campus School. A generous bequest was provided by Miss Riall's will to fund this special program.
Jonathan Kozol, Author, Activist, Teacher - 3/18/2002 (2 pm) and
(7:30 pm)https://www.youtube.com/watch?v=w_CWU8SVFT
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