Showing 1 - 20 results of 75 for search '((elsa OR ((meld OR (melsa OR mesra)) OR mella)) OR aba)', query time: 0.13s Refine Results
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    Magnetic oscillation of optical phonon in ABA- and ABC-stacked trilayer graphene by Jung, Jeil, Cao, Bingchen, Qiu, Caiyu, Cong, Chunxiao, Shen, Xiaonan, Ferreira, Aires, Adam, Shaffique, Yu, Ting

    Published 2015
    “…We present a comparative measurement of the G-peak oscillations of phonon frequency, Raman intensity, and linewidth in the magneto-Raman scattering of optical E2g phonons in mechanically exfoliated ABA- and ABC-stacked trilayer graphene (TLG). Whereas in ABA-stacked TLG, we observe magnetophonon oscillations consistent with single-bilayer chiral band doublets, the features are flat for ABC-stacked TLG up to magnetic fields of 9 T. …”
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    Journal Article
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    Temu Mesra Bersama 100 Alumni Sabah UMPSA eratkan hubungan silaturahim by Nur Ainaa Adhreena, Muhamad Shukri

    Published 2023
    “…KOTA KINABALU, 16 September 2023 - Pusat Perhubungan Alumni, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) menganjurkan Majlis Temu Mesra bersama Alumni Sabah bertempat di The Pacific Sutera Hotel, Kota Kinabalu baru-baru ini.…”
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    Newspaper
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    Beyond MELD Score: Association of Machine Learning-derived CT Body Composition with 90-Day Mortality Post Transjugular Intrahepatic Portosystemic Shunt Placement by Elhakim, Tarig, Mansur, Arian, Kondo, Jordan, Omar, Omar M. F., Ahmed, Khalid, Tabari, Azadeh, Brea, Allison, Ndakwah, Gabriel, Iqbal, Shams, Allegretti, Andrew S., Fintelmann, Florian J., Wehrenberg-Klee, Eric, Bridge, Christopher, Daye, Dania

    Published 2024
    “…Multivariable logistic regression showed that SMA (OR = 0.97, p < 0.01), SMI (OR = 0.94, p = 0.03), SFA (OR = 0.99, p = 0.01), and VFA (OR = 0.99, p = 0.02) remained significant predictors of 90-day mortality when adjusted for MELD score. ROC curve analysis demonstrated that including SMA, SFA, and VFA improves the predictive power of MELD score in predicting 90-day mortality after TIPS (AUC, 0.84; 95% CI: 0.77, 0.91; p = 0.02). …”
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    Article
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    Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study by Dhingra, LS, Aminorroaya, A, Sangha, V, Pedroso, AF, Asselbergs, FW, Brant, LCC, Barreto, SM, Ribeiro, ALP, Krumholz, HM, Oikonomou, EK, Khera, R

    Published 2025
    “…Model discrimination was 0.718 in YNHHS, 0.769 in UKB, and 0.810 in ELSA-Brasil. In YNHHS and ELSA-Brasil, incorporating AI-ECG with PCP-HF yielded a significant improvement in discrimination over PCP-HF alone. …”
    Journal article
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