416 research outputs found

    Romancing Beale Street (review)

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    The author reviews Barry Jenkins’s 2018 film adaptation of Baldwin’s novel, If Beale Street Could Talk, finding that Jenkins’s lush, painterly, and dreamlike visual style successfully translates Baldwin’s cadenced prose into cinematic language. But in interpreting the novel as the “perfect fusion” of the anger of Baldwin’s essays and the sensuality of his fiction, Jenkins overlooks the novel’s most significant aspect, its gender politics. Baldwin began working on If Beale Street Could Talk shortly after being interviewed by Black Arts poet Nikki Giovanni for the PBS television show, Soul!. Giovanni’s rejection of Baldwin’s claims that for black men to overcome the injuries of white supremacy they needed to fulfill the breadwinner role prompted him to rethink his understanding of African American manhood and deeply influenced his representation of the novel’s black male characters. The novel aims to disarticulate black masculinity from patriarchy. Jenkins’s misunderstanding of this aspect of the novel surfaces in his treatment of the character of Frank, who in the novel serves as an example of the destructiveness of patriarchal masculinity, and in his rewriting of the novel’s ending

    Assessing late-time singular behaviour in symmetry-plane models of 3D Euler flow

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    Motivated by work on stagnation-point type exact solutions of the 3D Euler fluid equations by Gibbon [Gibbon et. al. Phys. D, 132, 497, (1999)] and the subsequent demonstration of finite-time blowup by Constantin [Constantin, Math. Res. Notices, 9, 455, (2000)] we introduce a one-parameter family of models of the 3D Euler equations on a 2D symmetry plane. These models provide a collection of blow-up scenarios which admit analytical solutions and are computationally inexpensive in comparison to the full 3D Euler equations. We take advantage of these features to examine the efficacy of novel methods which aid the assessment of finite-time blow-up in numerical simulations. The principal of these is the mapping to regular systems [Bustamante, Phys. D, 240, 1092, (2011)]; a bijective nonlinear mapping of time and the prognostic variables based on a Beale-Kato-Majda (BKM) type supremum norm regularity condition [Beale et. al. Commun. Math. Phys. 94, 61, (1984)]. We show a 3 order of magnitude increase of accuracy of the singularity time when employing the mapping with negligible additional computational expense. An investigation of the spectra of the primary field (vortex stretching rate) allows us to confirm a power law decrement of the analyticity-strip width with time in agreement with rigorous bounds bridging between the global spatial behaviour and BKM theorems [Bustamante & Brachet, Phys. Rev. E. 86, (2012)]

    Optimasi Prediksi Dengan Algoritma Backpropagation Dan Conjugate Gradient Beale-Powell Restarts

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    Optimization of a prediction (forecasting) is very important to do so that the predicted results obtained to be better and quality. In this study, the authors optimize previous research that has been done by the author using backpropagation algorithm. The optimization process will use Conjugate Gradient Beale-Powell Restarts. Data to be predicted is Consumer Price Index data based on health group from Medan Central Bureau of Statistics from 2014 until 2016. Previous research using 8 architectural models, namely: 12-5-1, 12-26-1, 12-29 -1, 12-35-1, 12-40-1, 12-60-1, 12-70-1 and 12-75-1 with best architectural models 12-70-1 with an accuracy of 92%. In contrast to previous research concentrating on finding accuracy using backpropagation, this study will optimize the backpropagation with Conjugate Gradient Beale-Powell Restart, which not only focuses on accuracy but also the convergence of the two algorithms and the translation of predicted results, which is not done in a previous study. This research will use the same architectural model as the previous research and will get the result with the accuracy of 92% with the best architectural model that is 12-70-1 (same as previous research). Thus, this model is good enough for prediction even with different algorithms, since the accuracy of converging backpropagation with Conjugate Gradient Beale-Powell Restarts

    Optimasi Prediksi Dengan Algoritma Backpropagation Dan Conjugate Gradient Beale-Powell Restarts

    No full text
    Optimization of a prediction (forecasting) is very important to do so that the predicted results obtained to be better and quality. In this study, the authors optimize previous research that has been done by the author using backpropagation algorithm. The optimization process will use Conjugate Gradient Beale-Powell Restarts. Data to be predicted is Consumer Price Index data based on health group from Medan Central Bureau of Statistics from 2014 until 2016. Previous research using 8 architectural models, namely: 12-5-1, 12-26-1, 12-29 -1, 12-35-1, 12-40-1, 12-60-1, 12-70-1 and 12-75-1 with best architectural models 12-70-1 with an accuracy of 92%. In contrast to previous research concentrating on finding accuracy using backpropagation, this study will optimize the backpropagation with Conjugate Gradient Beale-Powell Restart, which not only focuses on accuracy but also the convergence of the two algorithms and the translation of predicted results, which is not done in a previous study. This research will use the same architectural model as the previous research and will get the result with the accuracy of 92% with the best architectural model that is 12-70-1 (same as previous research). Thus, this model is good enough for prediction even with different algorithms, since the accuracy of converging backpropagation with Conjugate Gradient Beale-Powell Restarts.</jats:p

    The importance of love and the lack thereof in James Baldwin's go tell it on the mountain, giovanni's room, and if beale street could talk, 2016

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    In Go Tell It on the Mountain, Giovanni's Room, and If Beale Street Could Talk, many characters are missing that certain something to draw them intimately close to each other. For Baldwin, the thing that is missing is the ability to love. Never learning how to express their true love, many characters in Baldwin's texts discover that relationships resembling love earns them power in a society void of it, but these are caricatures that do not reflect their deepest desires. The few characters who are honest enough with themselves to freely express their true love actually end up exposed and are ultimately outcasts of their societies; however, due to their honesty, they are not held captive by their fear: they are, therefore, more free than their counterparts. Through his texts, Baldwin gradually proves how powerful love can be when people are honest enough with themselves to allow intimacy

    James Africanus Beale Horton (1835-1883) - A West African Army Doctor's Strategies of Self- Legitimisation

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    This article examines the interconnections between medical science and poli- tics on the eve of the advent of colonial rule on the West African coast by means of the example of James Africanus Beale Horton (1835-1883), one of the first West Africans to receive medical training in Britain and to serve as a medical officer in the British Army. As he is known today as a political author, Horton's scientific work has hitherto been largely neglected in the historiogra- phy. His work as a medical officer and his research as an ambitious medical sci- entist allowed him to develop elaborate proposals for hygiene policy reforms. Furthermore, angered by emerging European race theories, he set out to re- fute prejudices against Africans and to draft self-governing West African states. This article seeks to demonstrate how scientific research helped a mid-nineteenth-century African scholar legitimise himself as an authoritative doctor and situate himself within European political and academic paradigms

    Creative Leadership Within the Cyber asset Market: An Interview With Dame Inga Beale

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    © The Author(s) 2019. This interview with Dame Inga Beale, one of the most distinguished corporate leaders in the United Kingdom, explores her ideas around creative leadership of Lloyd’s of London in the cyber asset market. Uniqueness of Beale’s approach stems from the deep-seated social purpose of insurance to support development of trust in a complex asset management cyberspace. Beale’s collaborative approach to dealing with risk in a digitally connected asset market is exclusive in its ethos. At a time when digital assets are threatened by cyberattacks and losses that are many times in magnitude in comparison with those of natural calamities, Beale’s innovative leadership is likely to fit in with a boundary-less online context. Beale’s enunciation of leadership aspirations for Lloyd’s has striking similarities with recent research on digital transformation of organizations and provides a practical articulation of collaborative trust building within the insurance market and beyond
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