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    Identifikasi Emosi Pengguna Konferensi Video Menggunakan Convolutional Neural Network by Lina Lina, Arthur Adhitya Marunduh, Wasino Wasino, Daniel Ajienegoro

    Published 2022-10-01
    “…In the experiments, four classes of human emotion are examined, such as neutral, happy, angry, and sad. The system detects facial areas in video frames using the Viola-Jones algorithm and identifies the emotions on the detected faces using the Convolutional Neural Network (CNN) method with the VGG-16 architecture. …”
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    ANDREW ARCHIBALD PATON: LIKA I SENJ U PUTOPISU IZ 1849. GODINE by Juraj Lokmer

    Published 2018-01-01
    “…Danas su nam ti stavovi i mišljenja pomalo čudni, često nerazumljivi i neprihvatljivi, a tako su znatno utjecali na političke odluke anglosaksonskih zemalja (Velika Britanija, SAD) i njihovih sljedbenika u prošlosti, a mogu se i danas prepoznati u političkim, gospodarskim i kulturnim htjenjima i postupcima tih država, posebno Velike Britanije. …”
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    La question du logement social à New York by Catherine Pouzoulet

    Published 2006-04-01
    “…At the same time, New York City had become sadly famous for housing unrivalled numbers of its working‑class and immigrants in unhealthy, dilapidated tenements. …”
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    Medical Jousting: Going for the kill! by Dr.Fuad Ahmed Khan Niazi

    Published 2023-01-01
    “…Although, this unfortunate practice can be unintentional, sadly, it is more often than not, intentional. It emanates from the deep-rooted instinct of us humans to survive and feel jealous or intimidated by an equal or someone who shares the same goals and targets. …”
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    Is it Time to Recognize Political Anxiety as a Social Determinant of Health? by Brandon Ambrosino

    Published 2024-12-01
    “…A 2023 poll found that 90 percent of Americans always, often, or sometimes feel “angry” when they think about politics, with about the same number reporting they always, often, or sometimes feel “exhausted.”[3] The same survey asked Americans to sum up their feelings about American politics in a word — four in five respondents used negative words, like “divisive,” “dysfunctional,” and “sad.” Politics in the Doctor’s Office The question healthcare providers need to answer is whether this data ought to make its way into exam rooms. …”
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