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  1. 40561

    A comparative study of Lagrange and Gregory forward interpolation techniques for estimating new student enrollment trends in the faculty of Tarbiyah at IAIN Kediri by Ahmad Syamsudin, M. Syamsul Ma'arif

    Published 2024-06-01
    “…However, the Lagrange interpolation performs better in some study programs, such as Indonesian Language Teaching and Natural Sciences Teaching. For example, the Lagrange interpolation for the Indonesian Language Teaching program has an MAE of 6.8, MAPE of 1%, and RMSE of 13.05, significantly lower than the Gregory Forward method. …”
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    Editorial by Teddy Surya Gunawan

    Published 2025-01-01
    “…Such research bridges the gap between technological advancement and safety, ensuring resilience in natural adversities. This issue also highlights the integration of AI and machine learning in optimizing engineering systems. …”
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    High tumor mutational burden predicts favorable response to anti-PD-(L)1 therapy in patients with solid tumor: a real-world pan-tumor analysis by Sehhoon Park, Jaeyun Jung, You Jeong Heo

    Published 2023-04-01
    “…Among the TMB-H patients, those who responded to anti-PD-L1 therapy had numerous active immune cells that infiltrated the tumor regions during the DSP analysis. Natural killer cells (p=0.04), cytotoxic T cells (p<0.01), memory T cells (p<0.01), naïve memory T cells (p<0.01), and proteins related to T-cell proliferation (p<0.01) were observed in a responder group compared with a non-responder group. …”
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    Public Health Discussions on Social Media: Evaluating Automated Sentiment Analysis Methods by Lisa M Gandy, Lana V Ivanitskaya, Leeza L Bacon, Rodina Bizri-Baryak

    Published 2025-01-01
    “…ObjectivePopular sentiment analysis tools based on natural language processing (NLP; VADER [Valence Aware Dictionary for Sentiment Reasoning], TEXT2DATA [T2D], and Linguistic Inquiry and Word Count [LIWC-22]), and a large language model (ChatGPT 4.0) were compared with manually coded sentiment scores, as applied to the analysis of YouTube comments on videos discussing the opioid epidemic. …”
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