Plant growth-promoting bacteria as biological control agents for sustainable agriculture: targeting root-knot nematodes by Adriana S. Mata, Carlos Cruz, João Rodrigues Gaspar, Isabel Abrantes, Isabel Luci Conceição, Paula V. Morais, Diogo Neves Proença, Diogo Neves Proença

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Theoretical Analysis on Active Polarization Control of Fiber Laser Based on Root Mean Square Propagation Algorithm by Yifei Shi, Yunfeng Qi, Hui Shen, Zhao Quan, Ming Tang

“…We demonstrate a comprehensive model of an active polarization control system. The root mean square propagation (RMS-Prop) algorithm is used to control the non-polarization-maintaining (non-PM) fiber laser to generate linearly polarized laser. …”
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Advances in CBCT combined with digital technology and artificial intelligence in endodontics by LI Jianing, WANG Shengchao, ZHOU Zichao, ZHANG Qianxia, JIANG Wenkai

“…Especially for showingthe morphologyof special root canals, it has incomparable advantages over two-dimensional X ray film. …”
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Interactive online learning method for students based on artificial intelligence by Cizhang Li, Wenfen Yin

“…Abstract In recent years, the demand for intelligent and interactive online education systems has grown significantly, driven by the need for personalized learning experiences and effective student engagement. …”
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Development and psychometric evaluation of the artificial intelligence attitude scale for nurses by Tuğba Öztürk Yıldırım, Mesut Karaman

“…Aim To develop and validate an Artificial Intelligence Attitude Scale specifically for Turkish nurses. …”
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Towards an Explainable Artificial Intelligence approach for smart grid systems by Mahmoud Alfayan, Hani Hagras

“…The transition from a Type-1 to a Type-2 fuzzy logic system resulted in enhanced prediction performance, as evidenced by a reduction in the root mean square error (RMSE) from 8.7734 to 5.9422, resulting in 32.2% enhancement in RMSE. …”
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Path Planning of Intelligent Mobile Robots with an Improved RRT Algorithm by Wenliang Zhu, Guanming Qiu

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Speech Intelligibility Prediction Using Binaural Processing for Hearing Loss by Xiajie Zhou, Candy Olivia Mawalim, Masashi Unoki

“…As the global issue of hearing loss becomes increasingly severe, developing effective speech intelligibility prediction methods is crucial for improving the performance of hearing aids. …”
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Physical function evaluation in volleyball training based on intelligent GRNN by Kaiyuan Dong, Borhannudin bin Abdullah, Hazizi bin Abu Saad, Chenxi Lu

“…Comparative experiments conducted on training data of a high-level university men’s volleyball team show that VSGRNN has a goodness-of-fit R2 = 0.927 on the validation set, with a Root Mean Square Error (RMSE) only 1.68 and Symmetric Mean Absolute Percentage Error (SMAPE) controlled at 8.21%. …”
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Artificial Intelligence in Religious Education: Ethical, Pedagogical, and Theological Perspectives by Christos Papakostas

“…This study investigates the integration of Artificial Intelligence (AI) in Religious Education (RE), a field traditionally rooted in spiritual formation and human interaction. …”
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Correcting Ryle’s Mistake: Motor Redundancy and the Embodied Intelligence of Habits by Jeferson Diello Huffermann

“…Motivated by the enactive account of habits and research on the field of Motor Control, I argue that Ryle was both wrong and right about habits and their relation to intelligent behavior. Ryle was wrong in claiming that habits fall short of intelligent behavior. …”
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The Future of Digital Education: Artificial Intelligence, the Metaverse, and the Transformation of Education by Tolga Yıldız

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The integration of artificial intelligence in assisted reproduction: a comprehensive review by Pragati Kakkar, Shruti Gupta, Kasmiria Ioanna Paschopoulou, Ilias Paschopoulos, Ioannis Paschopoulos, Vassiliki Siafaka, Orestis Tsonis

“…The utilization of AI in assisted reproduction is rooted in the persistent challenge of optimizing outcomes. …”
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Indignation and Intelligibility: Contradictions that Place Vulnerable Populations ‘Off the Grid’ by Susan Bibler Coutin, Barbara Yngvesson

“… Our paper draws on our ethnographic work regarding transnational adoption, unauthorized immigration, and deportation in order to examine the grids of intelligibility that produce adoptability and deportability. …”
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Leaching risk of sulfadiazine in soil: Regulatory role of low-molecular-weight organic acids associated with root exudates by Fuxiang Zhang, Jiaxuan Hong, Qiang Fu, Hongliang Jia, Yi-Fan Li, Yongzhen Ding, Xiaoyan Wang, Song Cui, Guorui Liu

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Intelligent Alarm Analysis for Fault Diagnosis and Management in Nuclear Power Plants by Wei Li, Kunze Yang, Ming Yang, Jipu Wang, Sijuan Chen

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Intelligent Control of Surgical Robot for Telesurgery: An Application to Smart Healthcare Systems by Shailu Sachan, Tanmay Shukla, Pankaj Swarnkar, Apsara Adhikari

“…This paper addresses the development of an intelligent controller to assure the safe functioning of a telesurgical robotic manipulator. …”
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Systems monitoring platform integrating artificial intelligence for incident response in servers by Bruno Hiroshi Espinosa-Luna, Johann Castillo-Oliva, Willy Francisco García-Gutiérrez, Alberto Carlos Mendoza-de-los-Santos

“…Additionally, it integrates artificial intelligence to provide immediate solutions to server incidents, using tools such as Grafana and Prometheus for metric collection and Grafana Loki for log management. …”
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Intelligent Damage Prediction During Vehicle Collisions Based on Simulation Datasets by Sheng Liu, Conghao Liu, Xunan An, Xin Liu, Liang Hao

“…In this study, we proposed an intelligent damage prediction model that significantly reduces the computational time required for collision simulations by leveraging collision simulation datasets in conjunction with the random forest (RF) algorithm. …”
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Prediction of mechanical characteristics of shearer intelligent cables under bending conditions. by Lijuan Zhao, Dongyang Wang, Guocong Lin, Shuo Tian, Hongqiang Zhang, Yadong Wang

“…The results show that, compared to other predictive models, the proposed model achieves reductions in Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE) to 0.0002, 0.0159, and 0.0126, respectively, with the coefficient of determination (R2) increasing to 0.981. …”
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