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Qinna Feng, Heng Luo, Zijian Li, Jiarong Liang, Gege Li and Yan Yi
The last decade has witnessed the rapid development of immersive virtual reality (IVR) and its application in various contexts. However, its application in supporting real-time virtual collaboration has been quite rare due to technical barriers and the l...
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Rejath Jose, Faiz Syed, Anvin Thomas and Milan Toma
The advancement of machine learning in healthcare offers significant potential for enhancing disease prediction and management. This study harnesses the PyCaret library?a Python-based machine learning toolkit?to construct and refine predictive models for...
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Lixin Wang, Wenlei Sun, Jintao Zhao, Xuedong Zhang, Cheng Lu and Hao Luo
As a critical raw material for the textile industry, cotton lint provides various types of cotton yarns, fabrics and finished products. However, due to the complexity of the supply chain and its many links, information records are often missing, inaccura...
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Jakub Kowalski, Joanna Rygas, Karolina Homa, Wojciech Dobrzynski, Rafal J. Wiglusz, Jacek Matys and Maciej Dobrzynski
Numerous failures in root canal treatment (RCT), attributed to the persistence of adverse microbiota, prompted researchers to develop a biomaterial with effective antibacterial and antifungal properties. In our systematic review, emphasis was placed on e...
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Chen Li, Yinxu Lu, Yong Bian, Jie Tian and Mu Yuan
The quality and safety of agricultural products involve a variety of risk factors, a large amount of risk information data, and multiple circulation and disposal processes, making it difficult to accurately trace the source of risks. To achieve precise t...
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