Estudio de la evolución de la competencia acuática en bebés participantes en un programa acuático desde un enfoque socioconstructivista (Study of the evolution of the aquatic comp... by Gil Pla-Campas, Verónica Jiménez, Montserrat Benlloch, Francesc Martínez-Olmo

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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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Correction: Behavioural ethogram to inform ex-situ initiatives for a critically endangered bird – the case of the Plains-wanderer by Monique Van Sluys, Yvette Pauligk, Alicia Burns, Alicia Burns, Alicia Burns, Mark O’Riordan, Richard Matkovics, Chris Hartnett, Benjamin J. Pitcher, Benjamin J. Pitcher

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Behavioural ethogram to inform ex-situ initiatives for a critically endangered bird – the case of the Plains-wanderer by Monique Van Sluys, Yvette Pauligk, Alicia Burns, Alicia Burns, Alicia Burns, Mark O’Riordan, Richard Matkovics, Chris Hartnett, Benjamin J. Pitcher, Benjamin J. Pitcher

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Coral Reef Conservation Strategies for Everyone by Kathryn E. Lohr, Joshua T. Patterson

“…Patterson, and published by the Program in Fisheries and Aquatic Sciences, School of Forest Resources and Conservation, September 2016. …”
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Coral Reef Conservation Strategies for Everyone by Kathryn E. Lohr, Joshua T. Patterson

“…Patterson, and published by the Program in Fisheries and Aquatic Sciences, School of Forest Resources and Conservation, September 2016. …”
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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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Remote sensing applications for managing a large-scale restoration dynamics project throughout the City of Gold Coast conservation estate by Jean-Marc Hero, Luke Shoo, Michael Duncan, Darren Roche, Jesse Kenny, Howard Taylor, Tim Robson, Sanjeev Kumar Srivastava, Josh Veitch-Michaelis

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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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