Category: Engineering

  • Chen, D. et al. Research on deep hole drilling of nickel-based superalloy with low-frequency vibration: Chip evacuation characteristic, chip formation and surface morphology. J. Manuf. Processes. 140 (30), 241–261 (2025).

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  • Machining performance investigation on 17-4PH steel material with innovative textured tools

  • Shaw, M. C. Metal Cutting Principles (Clarendon, 1984).

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  • Analysis of the correlation between lower limb muscle synergy characteristics and landing load during single-leg landing in humans

  • Zhang, Z., Wei, S., Shi, H. & &Sun, Y. Association between lower extremity movement patterns and ACL loading in CAI patients across varied ankle sprain frequencies within a year[J]. J. Neuroeng. Rehabil. 22, 72 (2025).

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  • Experimental and microstructural investigation on the strength and frost resistance of basalt fiber reinforced steel slag foamed concrete

  • Kurniati, E. O., Pederson, F. & Kim, H. J. Application of steel slags, ferronickel slags, and copper mining waste as construction materials: A review. Resour. Conserv. Recycl. 198, 107175. https://doi.org/10.1016/j.resconrec.2023.107175 (2023).

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  • MultiScaleWave: a wavelet-based multiscale framework for univariate time series forecasting

  • Kim, D., Park, S. & Choo, J. When model meets new normals: Test-time adaptation for unsupervised time-series anomaly detection. In Proceedings of the AAAI conference on artificial intelligence 38, 13113–13121 (2024).

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  • Task difficulty influences heart rate variability: evidence from a pilot study using a multi-level mental arithmetic task

  • Selye, H. A syndrome produced by diverse nocuous agents. Nature 138, 32 (1936).

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  • Akselrod, S. et al. Power spectrum analysis of heart rate fluctuation: A quantitative probe of beat-to-beat…

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  • SCB-YOLO: a lightweight adaptive attention-enhanced network for student behavior detection in complex classroom settings

  • Patil, L. & Stipanovic, L. Global Education Monitoring Report on technology and education (expert consultation convened by NORRAG, 2023).

  • Bo, N. S. W. OECD digital education outlook 2023: Towards an effective education ecosystem. Hung. Educ. Res….

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  • A deep learning framework for breast cancer diagnosis using Swin Transformer and Dual-Attention Multi-scale Fusion Network

  • Zheng, R. et al. Cancer incidence and mortality in China, 2016. J. Natl. Cancer Center 2(1), 1–9 (2022).

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  • Dag, A. Z., Akcam, Z., Kibis, E., Simsek, S. & Delen, D. A probabilistic data…

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  • Physicochemical properties of soy protein isolate–beet polysaccharide mixtures and phase inversion of their emulsion composites

  • Zhang, X., Zhang, T., Zhao, Y., Jiang, L. & Sui, X. Structural, extraction and safety aspects of novel alternative proteins from different sources. Food Chem. 137712. https://doi.org/10.1016/j.foodchem.2023.137712 (2023).

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  • End-to-end example-based sim-to-real RL policy transfer based on neural stylisation with application to robotic cutting

  • Vongbunyong, S., Kara, S. & Pagnucco, M. Basic behaviour control of the vision-based cognitive robotic disassembly automation. Assem. Autom. 33, 38–56. https://doi.org/10.1108/01445151311294694 (2013).

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