An In Vitro Evaluation of the Effect of Ceramic Material, Surface Treatment, and Adhesive Cement on Shear Bond Strength in Prosthodontics by Izabella Éva Mureșan, Diana Cerghizan, Attila Gergely, Rudolf-László Farmos, László Jakab-Farkas, John-Jason Șimon, Bernadette Kerekes-Máthé, Dóra-Anna Giliga, Esztella Éva Kis, Kinga Mária Jánosi, Krisztina Mártha

“…SBS tests were performed using a custom-made testing machine. A multiple linear regression model assessed the effects of ceramic type, surface treatment, and luting agent on SBS. …”
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Adaptive Handover Management in High-Mobility Networks for Smart Cities by Yahya S. Junejo, Faisal K. Shaikh, Bhawani S. Chowdhry, Waleed Ejaz

“…This paper presents an adaptive handover management scheme that utilizes reinforcement learning to optimize handover decisions in dynamic environments. …”
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Phase Current Equalization Method of IPMSM-Based on-Board Boost Converter for Electric Vehicles by Yunkyung Hwang, Jaehong Kim, Minhyeok Lee, Juwon Choi, Kwanghee Nam

“…It also determines the optimal rotor angle that minimizes the current ripple. …”
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The quality of service assessment of eMBB and mMTC traffic in a clustered 5G ecosystem of a smart factory by Viacheslav Kovtun, Oksana Kovtun, Krzysztof Grochla, Oleh Yasniy

“…Leveraging 5G’s support for enhanced Mobile Broadband (eMBB), massive Machine Type Communication (mMTC), and Network Slicing (NS), this study explores quality of service assurance within a clustered 5G ecosystem of a smart factory. …”
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The artificial intelligence revolution in gastric cancer management: clinical applications by Runze Li, Jingfan Li, Yuman Wang, Xiaoyu Liu, Weichao Xu, Runxue Sun, Binqing Xue, Xinqian Zhang, Yikun Ai, Yanru Du, Jianming Jiang

“…The integration of artificial intelligence, from optimizing the diagnosis process and enhancing diagnostic efficiency to promoting the practice of precision medicine, demonstrates its promising prospects for reshaping the treatment model of gastric cancer. …”
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Multimodal data-based human motion intention prediction using adaptive hybrid deep learning network for movement challenged person by Mustufa Haider Abidi

“…The efficiency of the implemented model is computed by conducting the comparison experiment of the proposed technique with other standard models. …”
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A Research on Event Extraction for illegal Cultivated land use Case Texts by J. Zhang, H. Wu, J. She, J. She, D. Hou

“…Finally, two sets of models based on statistical-based machine learning and deep learning are employed to optimize the extraction results of event arguments. …”
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Current application, possibilities, and challenges of artificial intelligence in the management of rheumatoid arthritis, axial spondyloarthritis, and psoriatic arthritis by Emre Bilgin

“…AI applications have enhanced risk prediction models, early diagnosis, and better management in RA. …”
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A Vision-Based Method for Detecting the Position of Stacked Goods in Automated Storage and Retrieval Systems by Chuanjun Chen, Junjie Liu, Haonan Yin, Biqing Huang

“…The lightweight variant maintains competitive accuracy while reducing the model size by 34% and increasing the inference speed by 68%. …”
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Ambient Intelligence to Detect Misuse of Electricity Consumption Based on IoT Using Blockchain Technology by Soiful Hadi, Wahyul Amien Syafei, Adi Wibowo

“…Future work will explore cost-reducing blockchain optimizations such as meta-transactions and relayers, along with model enhancements for IoT scalability. …”
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A robust multiplex-DIA workflow profiles protein turnover regulations associated with cisplatin resistance and aneuploidy by Barbora Salovska, Wenxue Li, Oliver M. Bernhardt, Pierre-Luc Germain, Qinyue Wang, Tejas Gandhi, Lukas Reiter, Yansheng Liu

“…We also introduce KdeggeR, a data analysis tool optimized for pSILAC-DIA experiments, which determines and visualizes peptide and protein degradation profiles. …”
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Behavioural user segmentation of app users based on functionality interaction patterns by Li-Yoong Ooi, Choo-Yee Ting, Helmi Zakariah, Eashvaren Chandar

“…This study has two objectives: (1) to identify an optimal clustering model that can handle a sparse dataset and (2) to extract post-clustering insights via a descriptive persona for each cluster. …”
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Intelligent Trust Evaluation Method for Underwater Sensor Networks Based on Fuzzy Clustering and Dynamic Weight Allocation by Zhaohui WANG, Guangjie HAN, Jiaxin DU, Chuan LIN, Lei WANG

“…First, a hierarchical dynamic topology model of the USN was developed to enhance universality. …”
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Myoelectric Control in Rehabilitative and Assistive Soft Exoskeletons: A Comprehensive Review of Trends, Challenges, and Integration with Soft Robotic Devices by Alejandro Toro-Ossaba, Juan C. Tejada, Daniel Sanin-Villa

“…Key contributions include critically evaluating machine learning-based motion prediction, model-free adaptive control methods, and real-time validation strategies to enhance rehabilitation outcomes. …”
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Applications of artificial intelligence in neurosurgical education: a scoping review by Hector Julio Piñera-Castro, Christian Borges-García

“…Abstract Background Artificial intelligence (AI) has transformed medical education through optimized instruction, competency assessment, and personalized learning. …”
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Ensemble learning guided survival prediction and chemotherapy benefit analysis in high-grade chondrosarcoma: A study based on the surveillance, epidemiology, and end results (SEER)... by Xu Zheng, Longqiang Shu, Shanyi Lin, Hanqiang Jin, Xiaoyu Wang, Ting Yuan

“…According to the ensemble model, overall survival generally improved in younger patients after chemotherapy. …”
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Legal Literacy in Indonesia: Leveraging Semantic-Based AI and NLP for Enhanced Civil Law Access by Rozaq Abdul, Fitri Rahimi, Akbar Muhammad Sohiburroihan, Sumari Mohammad Hollandi, Khafiyya Nida’an, Wardiah Isna, Sholihin Fuad

“…The primary objectives were to design a retrieval system using IndoSBERT, a pre-trained language model optimized for Indonesian texts, and QDrant, a vector database, and to evaluate the system's performance in terms of accuracy and usability. …”
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Microcontroller-Based EdgeML: Health Monitoring for Stress and Sleep via HRV by Priyanshu Srivastava, Namita Shah, Kavita Jaiswal

“…The healthcare sector is undergoing a transformation with the integration of cutting-edge technologies such as machine learning (ML), the Internet-of-Things (IoT), and Cyber–Physical Systems (CPS). …”
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Multiple Feature Vectors Based Fault Classification for WSN Integrated Bearing of Rolling Mill by Bo Qin, Luyang Zhang, Heng Yin, Yan Qin

“…From the above analysis, the energy index and the singular value matrix are used for fault classification modeling based on the enhanced extreme learning machine (ELM), which is optimized by the bat algorithm to adjust the input weights and threshold of hidden layer node. …”
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Capacitive deionisation for water desalination review: experimental and simulation by Rokhsareh Akbarzadeh, Mathias Ernst, Robert Meißner, Bodo Fiedler

“…The review also explores simulation methods, including reactor modeling, computational fluid dynamics, molecular dynamics, and numerical approaches, and machine learning highlighting their synergy with experiments in optimizing CDI performance and guiding scale-up. …”
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