239 research outputs found

    Samira Bellil: Dans l'enfer des tournantes - commented translation extended by analysis of translation complexities and reception of literature of the "beurs"

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    This master's thesis consists of a Czech language translation and commentary for selected chapters of Dans l'enfer des tournantes, an autobiography by Samira Bellil, a French author of Algerian descent. The commentary is divided into two parts: a presentation of literature written by French authors of Maghrebi descent, the so-called beurs, the language they use in literature and reception of their works; and an analysis of the source text and its reception, the problems encountered during the process of translation and their solutions as well as the chosen translation method. Key words: Samira Bellil, autobiography, beurs, translation, translation analysis, translation method, translation problem, translation shift, suburbs of Pari

    Social media and the Arab Spring

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    In late of 2010 and during 2011, the Arab countries saw a series of large scale political uprisings. Facebook, Twitter, YouTube, and other forms of social media have played a major role in the planning, acceleration, and even the preparation of some of the uprisings and revolutions that too place in the Middle East at this time. Social media was employed effectively to awaken the Arab people and to mobilize them to fight against repressive regimes in their drive for greater freedom and independence. This paper will discuss the cause of the uprisings. In addition, the role of social media in the Middle East before the revolutions and the impact it had on the uprisings and revolutions known as the Arab Springs will be examined.M.A.L.S.Includes bibliographical referencesby Samira F. Hassa

    Submodular welfare maximization

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    Near-optimal Herding

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    Herding is an algorithm of recent interest in the machine learning community, motivated by inference in Markov random fields. It solves the following Sampling Problem: given a set Χ \subset R^d with mean μ, construct an infinite sequence of points from Χ such that, for every t ≥ 1, the mean of the first t points in that sequence lies within Euclidean distance O(1/t) of μ. The error of a solution to Sampling Problem is defined to be the distance between the empirical mean of the first t samples and the original mean μ. The O(1/t) error bound suppresses the dependence on d and Χ. In this thesis, we study the best dependence on d and |Χ| that can be achieved for the error in Sampling Problem. Known analysis of the Herding algorithm give an error bound that depends on geometric properties of Χ but, even under favorable conditions, this bound depends linearly on d. We first show that any algorithm for the Sampling Problem must have error Ω(√d/t). Afterward, we present a new polynomial-time algorithm that solves the Sampling Problem with error O(√d log^2.5|Χ|/t) assuming that Χ is finite. This implies that our algorithm is optimal to within logarithmic factors. Finally, we prove that the actual error of the Herding Algorithm is strictly worse than the error of our algorithm if we measure the error in the infinity-norm. Our algorithm is randomized and based on recent algorithmic results in discrepancy theory. We implement our algorithm and other potential solutions for the Sampling Problem and evaluate them on various inputs.Science, Faculty ofComputer Science, Department ofGraduat

    The Poetics of Textual Thresholds in Ahcene El-Kharrat’s Collections of Poetry

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    Abstract: The aim of this study is to analyze the poetics of textual thresholds in the poetry of Ahcene El-Kharrat (1989-2019), to query their various dimensions, connotations and artistic features, based on the assumption that contemporary poetic text is no longer just a set of poems nicely written and collected in a book, but rather a mosaic of written texts, para (meta) texts, and thresholds related to their hypertext. The thresholds’ role is vital. Its importance cannot be ignored while formulating the general poetic context of the poem. The latter cannot reach completeness without its textual thresholds that opens up new poetic and artistic perspectives. We will shed light, in this analytical and intertextual research, on the thresholds of the poems in the collections of the Algerian poet Ahcene El-Kharrat entitled: Nabdh-al-faji’a (Pulse of Bereavement), Basar Al-Turab (Sight of the earth) and Shatah Al-darawishes (the Dervishes’ imagination). Keywords: Textual Thresholds; Paratext; Connotation; Author; Poetic

    A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems

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    Learn-to-Defer is a paradigm that enables learning algorithms to work not in isolation but as a team with human experts. In this paradigm, we permit the system to defer a subset of its tasks to the expert. Although there are currently systems that follow this paradigm and are designed to optimize the accuracy of the final human-AI team, the general methodology for developing such systems under a set of constraints (e.g., algorithmic fairness, expert intervention budget, defer of anomaly, etc.) remains largely unexplored. In this paper, using a dd-dimensional generalization to the fundamental lemma of Neyman and Pearson (d-GNP), we obtain the Bayes optimal solution for learn-to-defer systems under various constraints. Furthermore, we design a generalizable algorithm to estimate that solution and apply this algorithm to the COMPAS and ACSIncome datasets. Our algorithm shows improvements in terms of constraint violation over a set of baselines

    Electron–hole superfluidity in strained Si/Ge type II heterojunctions

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    Excitons are promising candidates for generating superfluidity and Bose–Einstein condensation (BEC) in solid-state devices, but an enabling material platform with in-built band structure advantages and scaling compatibility with industrial semiconductor technology is lacking. Here we predict that spatially indirect excitons in a lattice-matched strained Si/Ge bilayer embedded into a germanium-rich SiGe crystal would lead to observable mass-imbalanced electron–hole superfluidity and BEC. Holes would be confined in a compressively strained Ge quantum well and electrons in a lattice-matched tensile strained Si quantum well. We envision a device architecture that does not require an insulating barrier at the Si/Ge interface, since this interface offers a type II band alignment. Thus the electrons and holes can be kept very close but strictly separate, strengthening the electron–hole pairing attraction while preventing fast electron–hole recombination. The band alignment also allows a one-step procedure for making independent contacts to the electron and hole layers, overcoming a significant obstacle to device fabrication. We predict superfluidity at experimentally accessible temperatures of a few Kelvin and carrier densities up to ~6 × 1010 cm−2, while the large imbalance of the electron and hole effective masses can lead to exotic superfluid phases.QCD/Scappucci La

    Usability of Humanly Computable Passwords

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    Reusing passwords across multiple websites is a common practice that compromises security. Recently, Blum and Vempala have proposed password strategies to help people calculate, in their heads, passwords for different sites without dependence on third-party tools or external devices. Thus far, the security and efficiency of these "mental algorithms" has been analyzed only theoretically. But are such methods usable? We present the first usability study of humanly computable password strategies, involving a learning phase (to learn a password strategy), then a rehearsal phase (to login to a few websites), and multiple follow-up tests. In our user study, with training, participants were able to calculate a deterministic eight-character password for an arbitrary new website in under 20 seconds

    Collective Counterfactual Explanations via Optimal Transport

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    Counterfactual explanations provide individuals with cost-optimal actions that can alter their labels to desired classes. However, if substantial instances seek state modification, such individual-centric methods can lead to new competitions and unanticipated costs. Furthermore, these recommendations, disregarding the underlying data distribution, may suggest actions that users perceive as outliers. To address these issues, our work proposes a collective approach for formulating counterfactual explanations, with an emphasis on utilizing the current density of the individuals to inform the recommended actions. Our problem naturally casts as an optimal transport problem. Leveraging the extensive literature on optimal transport, we illustrate how this collective method improves upon the desiderata of classical counterfactual explanations. We support our proposal with numerical simulations, illustrating the effectiveness of the proposed approach and its relation to classic methods

    Zeolite imidazolate framework-11 for efficient removal of Bromocresol Green in aqueous solution, isotherm kinetics, and thermodynamic studies

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    * Corresponding author.1944-3994/1944-3986 © 2021 Desalination Publications. All rights reserved.Desalination and Water Treatment www.deswater.comdoi: 10.5004/dwt.2021.27183224 (2021) 407–420JuneZeolite imidazolate framework-11 for efficient removal of Bromocresol Green in aqueous solution, isotherm kinetics, and thermodynamic studiesRachid Lamaria,*, Bénamar Benotmanea, Samira MezalibaURMPE, M’Hamed Bougara University, Boumerdes 35000, Algeria, Tel. +213 662044327/213 659010318; emails: [email protected] (R. Lamari), [email protected] (B. Benotmane) bFaculty of Sciences, Chemical Department, M‘Hamed Bougara University, Boumerdes 35000, Algeria, Tel. +213 553726873; email: [email protected] 16 May 2020; Accepted 19 February 2021abstractIn this study, zeolitic imidazolate framework (ZIF-11) type was synthesized by stirring method and used for the removal of Bromocresol Green (BCG) from aqueous solutions. For this purpose, the ZIF-11 particles were analysed by X-ray diffraction, scanning electron microscope, Fourier-transform infrared spectroscopy, thermogravimetric analysis, and differential scanning calorimetry. In batch experiments, the effective BCG adsorption parameters onto ZIF-11 particles were exam-ined. Based on the characterization results, the synthesized ZIF-11 showed a highly porous, irreg-ular, and inhomogeneous shapes and crystals with varying sizes as well as high thermal stability. The adsorption results indicated that the highest BCG removal (89%) was obtained when the solu-tion pH, the stirring speed, the contact time, and the temperature were adjusted to 6.8, 400rpm,30min, and 298K, respectively. The adsorption data fitted well to Langmuir and Temkin mod-els with maximum adsorption capacity of 150mg/g.The adsorption kinetics was compatible with the pseudo-second-order and the intraparticle diffusion models. Indeed, BCG molecules instanta-neously adsorbed on the external surface of ZIF-11 particles and gradually diffused within theirs pores. The negative value of free energy change and positive values of enthalpy and entropy changes showed the feasibility, randomness, and endothermicity of the BCG adsorption process, which was found to be physicochemical base
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