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

“…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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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

“…However, their efficacy and risks remain controversial. Programmed cell death (PCD) mechanisms have been increasingly implicated in SCI pathology. …”
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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

“…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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Mesleki eğitimde teorik bilginin kazandırılmasına yönelik bağlamsal bir içerik oluşturma denemesi by Nuray Parlak YILMAZ

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Formación profesional en ambientes e-learning. Estudio de caso sobre Aprendizaje Basado en Proyectos (ABP) en un curso de posgrado virtual / Professional Formation in e-learning en... by José Luis Fernández-Robles, Leticia Nayeli Ramírez-Ramírez, Sara Catalina Hernández-Gallardo, Miguel Ángel García-Ruíz

“…In Latin America, the incorporation of technological systems for the construction of innovative learning environments is still incipient. …”

Integrating Genetic Programming with Dimensional Analysis and Data-Splitting for Heat Transfer Estimation of Nanofluids by Kazuki Fukushima, Koki Yagihara, Alexander Guzman-Urbina, Hajime Ohno, Yasuhiro Fukushima

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The Development of a Reading Book on House Construction Civilization Based on Project-Based Learning to Improve Children's Social Intelligence Character by Gregorius Ari Nugrahanta, Hilary Relita Vertikasari Sekarningrum, Brigita Sherlyta Erlansa Putri

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Identifying the risk of Kawasaki disease based solely on routine blood test features through novel construction of machine learning models by Tzu-Hsien Yang, Ying-Hsien Huang, Yuan-Han Lee, Jie-Nan Lai, Kuang-Den Chen, Mindy Ming-Huey Guo, Yan Pan, Chun-Yu Chen, Wei-Sheng Wu, Ho-Chang Kuo

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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

“…This study aimed to develop a robust predictive model integrating programmed cell death-related genes and advanced machine learning techniques. …”
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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

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

“…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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The Pedagogical Content Knowledge of the School of Education Pre-Service Teachers in Test Construction by Lorie Anne Socorro Moreno, Ronald Quileste

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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

“…E-learning training for diabetes prevention program coaches was designed and developed with input from end users. …”
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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

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

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

“…Conclusion: Training programmes should revise the teaching of research and improve institutional processes. …”
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THE APPLICATION OF AUTHENTIC ASSESSMENT WITH FEEDBACK TO IMPROVE THE COMPETENCE OF MTS 2 BANDUNG STUDENTS IN CONSTRUCTING A SCIENTIFIC REPORT OF MOTION MATERIAL IN SCIENCE LEARNING by A. Y. Nuryantini, T. Setiadi, K. Kurniawan, I. Farida

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Towards sustainable construction: estimating compressive strength of waste foundry sand-blended green concrete using a hybrid machine learning approach by Hoang Nhat-Duc, Nguyen Quoc-Lam

“…LightGBM is used to construct a functional mapping between the CS and its influencing factors. …”
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Determinants of WhatsApp and Telegram usage for learning support in Nigerian universities: a quantitative study by Chinyere Ori Elom, Hayford Mensah Ayerakwa, Sikiru Ibrahim-Olesin, Eric Worlanyo Deffor, Chidebe Chijioke Uwaleke, Robert Ugochukwu Onyeneke

“…The determinants of the use of WhatsApp and Telegram to enhance learning among students include age, gender, wealth status of parents/guardians, student’s faculty/program, location of school, and level of student in school. …”
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Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis by Xudong Shen, Xudong Shen, Xudong Shen, Guoxiang Li, Guoxiang Li, Guoxiang Li, Junfeng Yao, Junfeng Yao, Junfeng Yao, Junping Yang, Xiaobo Ding, Xiaobo Ding, Xiaobo Ding, Zongyao Hao, Zongyao Hao, Zongyao Hao, Yan Chen, Yang Chen, Yang Chen, Yang Chen

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