The impact of ecological civilization construction on the resilience of green technology innovation: evidence based on double dual machine learning by Cunlin Li, Cunlin Li, Shiyu Zhang, Shiyu Zhang, Baojun Yang, Baojun Yang

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Machine Learning Model for Construction Time Prediction: A Case of Selected Public Building Projects in Hosanna, Ethiopia by Demoze Wondimu Debero, Ephrem Girma Sinesilassie

“…This study extends the body of knowledge related to construction time performance, and it contributes valuable insights that inform the implementation of machine learning model for construction time prediction.…”
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The Effect of Play-Based Learning Program on the Development of Health Culture among Kindergarten Children during the Coronavirus Pandemic by Dilan Kamaran Muhammed Tahir, Seema Ahmed Ali

“…The research tools consist of the construction of pictorial scale of health concepts for kindergarten children, an intelligence test (Johan, 1976), and the construction of a supported learning program through using games. …”
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Design of Experimental Problem Solving-Based Learning Program to Improve Mental Model and to Enhance Mental-Modeling Ability by S. Supriyatman, A. Suhandi, D. Rusdiana, A. Samsudin, F. C. Wibowo, J. Mansyur

“…Mental model construction is the “core” of meaningful learning and along with MMA (modeling) become a keyword to understand the key concepts in the science learning. …”
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Image-based machine learning and cluster analysis for urban road network: employing Orange for codeless visual programming by Zuo Zhang, Mengwei Zhang, Xiangxiang Song, Zhi Li

“…In this study, we constructed an analytical framework that leveraged road network image recognition, multi-scale influence factors analysis, and predictions using codeless visual programming. …”
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Social Validation as a Key Process to Participatory and Engaged Research: Learning from a Brazilian Academic Program by Teresa Harari, Marlei Pozzebon, Ana Clara Souza, André Luiz Freitas Dias, Armindo dos Santos de Sousa Teodósio

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Peculiarities of the pedagogical situation at the training of bachelors on the direction 08.03.01 «Construction» on the example of discipline of specialization by Nelli I. Taraseeva

“…For the efficient operation of the system “lecturer” – “student” it is necessary to have highly qualified lecturers and modern material and technical equipment for the educational process.The goal of this work is to perform the analysis of the current teaching situation; on the example of the profile discipline to develop a learning algorithm and its implementation in accordance with the laws of the didactics of Bachelors in 08.01.03 construction direction “Highways”.Materials and methods: the methods of research consist in studying the basics of Didactics (learning theory) with positions of interdisciplinary areas of knowledge, such as general theory and graph sys tems, familiarizing with the functioning laws of the learning process, pedagogical technologies of domestic and foreign researchers. …”
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Learning-Free Unsupervised Extractive Summarization Model by Myeongjun Jang, Pilsung Kang

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

“…However, the strong influence of validscientific evidence, combined with vicarious learning, causes a setback in achieving the construction. …”
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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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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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