MLOps Components, Tools, Process, and Metrics: A Systematic Literature Review by Adrian P. Wozniak, Mateusz Milczarek, Joanna Wozniak

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After a Hand Was Lent: Sporadically Experiencing Multisensory Interference During the Rubber Hand Illusion Does Not Shield Against Disembodiment by Julia Eck, David Dignath, Andreas Kalckert, Roland Pfister

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Unfixed Bias Iterator: A New Iterative Format by Zeqing Zhang, Xue Wang, Jiamin Shen, Man Zhang, Sen Yang, Fanchang Yang, Wei Zhao, Jia Wang

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Kahoot! as innovation gamification for examination by Efrilla Niza, Aura Salsabilah Ardian

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Love and Education. Love in Education by Maria Amilburu

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The policy of integrated languages didactics in Lithuania by Daiva Jakavonytė-Staškuvienė

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Circadian rhythm related genes signature in glioma for drug resistance prediction: a comprehensive analysis integrating transcriptomics and machine learning by Junbo Liao, Yingxing Duan, Xiangwang Xu, Yaxue Liu, Chaohong Zhan, Gelei Xiao

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Lessons learned in migrating from one commercial genetics clinical decision-making tool to another: Assessment of data integrity and utilization by Calvin Le, Kevin Tatunay, Wayne Liu, Haibo Lu, Nicole-Ann Rodis, Thomas Nam, Mercy Y. Laurino, Marianne E. Dubard-Gault

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Predicting cardiovascular disease and all-cause mortality using the lymphocyte-to-monocyte ratio: Insights from explainable machine learning models by Jichao Wu, Die Huang, Jiefang Li, Jingxing Yi, Yu Lei, Jun Yin

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Learning to Shape Transformation – How Individual Schools can be Supported in Implementing a Newly Developed ESD Curriculum with Training Concept by Lindau-Bank Detlev, Stein Margit

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MAEMC-NET: a hybrid self-supervised learning method for predicting the malignancy of solitary pulmonary nodules from CT images by Tianhu Zhao, Tianhu Zhao, Yong Yue, Hang Sun, Jingxu Li, Yanhua Wen, Yudong Yao, Wei Qian, Yubao Guan, Shouliang Qi, Shouliang Qi

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Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques by Deepak Painuli, Suyash Bhardwaj, Utku Kose

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Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling by R. J. O'Loughlin, D. Li, R. Neale, T. A. O'Brien, T. A. O'Brien

“…In this review and perspective paper, we suggest that, in addition to using XAI methods, AI researchers in climate science can learn from past successes in the development of physics-based dynamical climate models. …”
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Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering. by Guanqun Wang

“…Subsequently, a parameter adaptive adjustment method based on Q-learning is proposed, which significantly augments the clustering performance of K-means. …”
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ONLINE INSTRUCTIONAL STRATEGIES FOR ENGLISH LANGUAGE LEARNING DURING COVID-19 PANDEMIC: A CASE FROM A CREATIVE TEACHER by Abdul Halim, Sunarti Sunarti

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Deep learning radiomics nomogram for preoperatively identifying moderate-to-severe chronic cholangitis in children with pancreaticobiliary maljunction: a multicenter study by Hui-min Mao, Kai-ge Chen, Bin Zhu, Wan-liang Guo, San-li Shi

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PENERAPAN PROJECT BASED LEARNING MODEL UNTUK MENINGKATKAN SIKAP ILMIAH MAHASISWA DALAM RANGKA MENGHADAPI ERA MERDEKA BELAJAR by Andik Purwanto, Desy Hanisa Putri, Dedy Hamdani

“…One learning model that can make students critical in the learning process is to use the Project Based Learning Model. …”
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Operative Time Learning Curve for an Image-Free Robotic Arm Assisted Total Knee Arthroplasty: A Cumulative Sum Analysis by Cale A. Pagan, MD, Theofilos Karasavvidis, MD, Breana Siljander, MD, Eytan M. Debbi, MD, PhD, Charles A. DeCook, MD, Jonathan Vigdorchik, MD

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