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

“…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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kiSAH SHAHIH & MITOS / by Muhammad Hamid Abdul Wahab, author 443375, Abdul Aziz Muhammad Abdullah As-Sadahan, author 648800, Izzudin Al Karimi, translator 648803, Waznin Mahfuzh, editor 648801, J Hariyadi, editor 648802

Audio-based approaches in tuning retrieval of gamelan ensemble by Hamdan, Sinin

“…The tone of peking was investigated using time-frequency analysis (TFA). Melda analyzer proved that all peking sustained the initial fundamental frequency and overtone at t=0 until 2s. …”
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Fusing pairwise modalities for emotion recognition in conversations by Fan, Chunxiao, Lin, Jie, Mao, Rui, Cambria, Erik

“…To validate the proposed framework, we conduct comprehensive experiments on two benchmark datasets, namely IEMOCAP and MELD. The results demonstrate the superior performance of our approach compared to state-of-the-art methods, indicating its effectiveness in addressing challenges related to multimodal fusion in the context of ERC.…”
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Gas permeation through V2O5 nanoribbons-based membrane by Chevrier, Sarah M., Goh, Kunli, Chuah, Chong Yang, Gabriel, Jean-Christophe P.

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Novel Pd2Se3 Two-Dimensional Phase Driven by Interlayer Fusion in Layered PdSe2 by Lin, Junhao, Zuluaga, Sebastian, Yu, Peng, Liu, Zheng, Pantelides, Sokrates T., Suenaga, Kazu

“…We further verify the interlayer melding mechanism by creating Se vacancies in situ in the layered PdSe2 matrix using electron irradiation. …”
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Temporal dynamics unleashed: elevating variational graph attention by Molaei, S, Niknam, G, Ghosheh, GO, Chauhan, VK, Zare, H, Zhu, T, Pan, S, Clifton, DA

“…This research introduces the Variational Graph Attention Dynamics (VarGATDyn), addressing the complexities of dynamic graph representation learning, where existing models, tailored for static graphs, prove inadequate. VarGATDyn melds attention mechanisms with a Markovian assumption to surpass the challenges of maintaining temporal consistency and the extensive dataset requirements typical of RNN-based frameworks. …”

Perspectives of second-generation Pakistani Muslim therapists utilising CBT with ethnically similar clients: an interpretative phenomenological analysis by Anwar, Rozina

“…This involved working towards congruency by achieving both an integrative approach and developing a comprehensive outlook, accepting the therapist- and the client-melded worldview. This study implies further questions; in whether there are gendered elements and whether matching the culture of therapists and clients should be extended to other minority groups in order to enhance both therapeutic dialogue and outcomes.…”
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Generalized neural closure models with interpretability by Gupta, Abhinav, Lermusiaux, Pierre F. J.

“…We augment existing/low-fidelity dynamical models directly in their partial differential equation (PDE) forms with both Markovian and non-Markovian neural network (NN) closure parameterizations. The melding of the existing models with NNs in the continuous spatiotemporal space followed by numerical discretization automatically allows for the desired generalizability. …”
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Tsewang Norbu NGB by Cantwell, C, Mayer, R

“…In some cases, these two types of colophons are melded into one, and occasionally, we may find a colophon which contains other types of information. …”