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  1. 61

    Learning-Free Unsupervised Extractive Summarization Model by Myeongjun Jang, Pilsung Kang

    Published 2021-01-01
    “…In this study, we propose a model called Learning Free Integer Programming Summarizer (LFIP-SUM), which is an unsupervised extractive summarization model. …”
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    Article
  2. 62

    Sentient Intercultural Self-Efficacy: Constructing Intercultural Competence in Health Sciences students by DEBBIE ÁLVAREZ-CRUCES, JUAN MANSILLA-SEPÚLVEDA, ALEJANDRA NOCETTI-DE-LA-BARRA

    Published 2025-04-01
    “…However, the strong influence of validscientific evidence, combined with vicarious learning, causes a setback in achieving the construction. …”
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    Article
  3. 63
  4. 64

    Machine Learning Developed a Programmed Cell Death Signature for Predicting Prognosis, Ecosystem, and Drug Sensitivity in Ovarian Cancer by Le Wang, Xi Chen, Lei Song, Hua Zou

    Published 2023-01-01
    “…The prognostic cell death signature (CDS) was constructed with an integrative machine learning procedure, including 10 methods, using TCGA, GSE14764, GSE26193, GSE26712, GSE63885, and GSE140082 datasets. …”
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    Article
  5. 65

    Identification and validation of glucocorticoid receptor and programmed cell death-related genes in spinal cord injury using machine learning by Feng Lu, Yingying Liu, Zhen Chen, Shuning Chen, Weidong Liang, Fuzhou Hua, Maolin Zhong, Lifeng Wang

    Published 2025-07-01
    “…However, their efficacy and risks remain controversial. Programmed cell death (PCD) mechanisms have been increasingly implicated in SCI pathology. …”
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    Article
  6. 66

    Integration of machine learning and experimental validation to identify the prognostic signature related to diverse programmed cell deaths in breast cancer by Longpeng Li, Longpeng Li, Jinfeng Zhao, Yaxin Wang, Zhibin Zhang, Wanquan Chen, Jirui Wang, Yue Cai

    Published 2025-01-01
    “…The prognostic signature (PCDRS) were constructed by the best combination of 101 machine learning algorithm combinations, and the C-index of PCDRS was compared with 30 published signatures. …”
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    Article
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  12. 72

    Prognostic risk modeling of endometrial cancer using programmed cell death-related genes: a comprehensive machine learning approach by Tianshu Chen, Yuhan Yang, Zhizhong Huang, Feng Pan, Zhendi Xiao, Kunxue Gong, Wenguang Huang, Liu Xu, Xueqin Liu, Caiyun Fang

    Published 2025-03-01
    “…This study aimed to develop a robust predictive model integrating programmed cell death-related genes and advanced machine learning techniques. …”
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    Article
  13. 73

    Leveraging diverse cell-death patterns in diagnosis of sepsis by integrating bioinformatics and machine learning by Mi Liu, Xingxing Gao, Hongfa Wang, Yiping Zhang, Xiaojun Li, Renlai Zhu, Yunru Sheng

    Published 2025-02-01
    “…It has been reported that programmed cell death (PCD) plays a critical role in the development and progression of sepsis, which has the potential to be a diagnosis and prognosis indicator for patient with sepsis. …”
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    Article
  14. 74

    Methodological bases for the design of flexible educational programs in a network format by Elena Mikhailovna Efimova, Denis Olegovich Efimov

    Published 2023-03-01
    “…The purpose of the research is determination of the methodology for constructing effective network educational programs, based on the formation of the student’s personality and his practical preparation for future professional activity through individual development. …”
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    Article
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    Exploring perspectives of type 2 diabetes prevention program coaches and training delivery staff on e-learning training: a qualitative study by Kaela D. Cranston, Natalie J. Grieve, Mary E. Jung

    Published 2024-12-01
    “…E-learning training for diabetes prevention program coaches was designed and developed with input from end users. …”
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    Article
  17. 77

    An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer by Lihuan Dai, Jinxue Yin, Xin Xin, Chun Yao, Yongfang Tang, Xiaohong Xia, Yuanlin Chen, Shuying Lai, Guoliang Lu, Jie Huang, Purong Zhang, Jiansheng Li, Xiangguang Chen, Xi Zhong

    Published 2025-03-01
    “…Abstract Background Programmed death ligand 1 (PD-L1) expression status, closely related to immunotherapy outcomes, is a reliable biomarker for screening patients who may benefit from immunotherapy. …”
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    Article
  18. 78

    PENERAPAN TEORI KONSTRUKTIVISTIK PADA PEMBELAJARAN BAHASA ARAB DI KELOMPOK 28 PROGRAM INTENSIFIKASI BAHASA ARAB IAIN SYEKH NURJATI CIREBON by Hikmah Uswatun Ummi, Indrya Mulyaningsih

    Published 2016-06-01
    “…<p>Use appropriate teaching methods teachers' creativity. Learning foreign languages, especially Arabic Arabic Intensification Program IAIN Sheikh Nurjati Cirebon using various methods. …”
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    Article
  19. 79

    Registrars’ experience with research in family medicine training programmes in South Africa by Emcy Louw, Robert J. Mash

    Published 2024-04-01
    “…Conclusion: Training programmes should revise the teaching of research and improve institutional processes. …”
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    Article
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