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  1. 1581

    Acoustic emission analysis of failure processes in polyethylene and recycled tire rubber blends by Ákos Görbe, Gergő Zsolt Marton, Tamás Bárány

    Published 2025-06-01
    “…In this study, we developed a test method using acoustic emission (AE) to investigate the failure process and degree of compatibility of low-density polyethylene (LDPE) blends filled with ground tire rubber (GTR). …”
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  2. 1582
  3. 1583

    Application of Ozone Related Processes to Mineralize Tetramethyl Ammonium Hydroxide in Aqueous Solution by Chyow-San Chiou, Kai-Jen Chuang, Ya-Fen Lin, Hua-Wei Chen, Chih-Ming Ma

    Published 2013-01-01
    “…Tetramethyl ammonium hydroxide (TMAH) is an anisotropic etchant used in the wet etching process of the semiconductor industry and is hard to degrade by biotreatments when it exists in wastewater. …”
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  4. 1584

    Methodology for Business Process Automation in SMEs: From Requirements Analysis to Practical Demonstration by Sílvia Moreira, Henrique S. Mamede, Arnaldo Santos

    Published 2025-06-01
    “…This study aims to develop a methodology to assist Small and Medium Enterprises (SMEs) in effectively adopting Business Process Automation (BPA). Despite its growing importance in streamlining routine tasks and enabling employees to focus on more creative activities, numerous organizations face challenges in implementing BPA due to unclear procedures, insufficient knowledge of eligible processes, and uncertainty regarding the necessary technology. …”
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  5. 1585

    Microstructure Changes of Cowhide and Properties of Wet Blue during Seawater Tanning Process by Kexin LIN, Lizhi HU, Ze NIU, Huitao WEN, Zhenhua TIAN

    Published 2024-11-01
    “…Nevertheless, all indicators can meet the needs of the wet-blue making process. Meanwhile, the mechanical properties such as tensile strength, tear strength and burst strength were better than those of GS due to the more tightly woven of HS fibers; furthermore, the density and sensory performance of HS were slightly higher, which are reflective of the superiority of seawater used in wet-blue making process.…”
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  6. 1586
  7. 1587

    Development of an Automotive-Relevant Recycling Process for Paper Fiber-Reinforced Polypropylene Composites by Cecile A. Grubb, Mahshid Mokhtarnejad, John Greene, John Misasi, David J. Keffer, Marton Kardos, Hendrik Mainka, David P. Harper

    Published 2024-12-01
    “…This presents a challenge at vehicle end-of-life, however, as natural fiber-reinforced polymers are substantially more difficult to recycle than their unreinforced counterparts. …”
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  8. 1588

    Advanced Machine Learning Approaches for Predicting Machining Performance in Orthogonal Cutting Process by Sabrina Al Bukhari, Salman Pervaiz

    Published 2025-02-01
    “…These findings suggest that XGBoost provides a more robust solution for modeling the complexities of the orthogonal cutting process, offering valuable insights into process optimization. …”
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  9. 1589

    Automated Quality Control of Cleaning Processes in Automotive Components Using Blob Analysis by Simone Mari, Giovanni Bucci, Fabrizio Ciancetta, Edoardo Fiorucci, Andrea Fioravanti

    Published 2025-04-01
    “…The LoG and DoG methods were more prone to spurious detections, while DoH demonstrated intermediate performance but struggled with reflective surfaces. …”
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  10. 1590

    Effect of Vacuum Process on Enrichment of Low-Concentration Coal Mine Methane by Adsorption by Yuanyuan Kang, Yingshu Liu, Wenhai Liu, Ye Li, Ningqi Sun, Quanli Zhang, Ziyi Li, Xiong Yang

    Published 2025-02-01
    “…The exhaust process can significantly increase the product gas concentration. …”
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  11. 1591
  12. 1592
  13. 1593

    Deep learning-based action recognition for joining and welding processes of dissimilar materials by Tao He, Xinyuan Jin, Yiming Zou

    Published 2025-03-01
    “…These processes are influenced by variations in material behavior, dynamic changes in process parameters, and environmental factors, making real-time action recognition a critical tool for ensuring consistent quality, efficiency, and reliability. …”
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  14. 1594

    The development of a beneficiation process to remove carbonates from lithium sedimentary claystones by Sabinus Essel Arthur, Emmanuel Atta Mends, Angela Manka Tita, Pengbo Chu

    Published 2025-05-01
    “…Sedimentary claystones found in Nevada have emerged as a new source of lithium. However, processing these claystones faces several challenges due to the significant presence of carbonates such as calcite. …”
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  15. 1595

    Safety risks and quality control in Huangjiu: From raw materials to fermentation process by Qisi Xu, Shanshan Zhao, Jieyin Chen, Ran Wang, Kangxu Wang, Xiaofeng Dai, Zhiqiang Kong

    Published 2025-06-01
    “…Future research should focus on developing more sensitive detection techniques, enhancing control strategies, and evaluating long-term health effects of these contaminants to ensure the sustained safety and quality of Huangjiu.…”
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  16. 1596

    The use of research evidence in public health decision making processes: systematic review. by Lois Orton, Ffion Lloyd-Williams, David Taylor-Robinson, Martin O'Flaherty, Simon Capewell

    Published 2011-01-01
    “…<h4>Conclusions</h4>To more effectively implement research informed public health policy, action is required by decision makers and researchers to address the barriers identified in this systematic review. …”
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  17. 1597
  18. 1598

    Navigating Teachers’ Occupational Well-Being in the Tides of Classroom Processes and School Structures by Joy C. Nwoko, Emma Anderson, Oyelola Adegboye, Aduli E. O. Malau-Aduli, Bunmi S. Malau-Aduli

    Published 2024-11-01
    “…Teachers expressed a need for more relevant professional development programs and highlighted the importance of supportive leadership and adequate resources. …”
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  19. 1599

    PRACTICAL PRINCIPLES OF PARTICIPLE USAGE AND RENDERING INTO UKRAINIAN IN THE PROCESS OF LITERARY TEXTS TRANSLATION by Svitlana A. Ostapenko

    Published 2020-12-01
    “…The author of the translation took advantage of all possible transformations and thus gave the translation accuracy and thus made it more comprehensible to the Ukrainian reader…”
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  20. 1600

    A Structured Dataset for Automated Grading: From Raw Data to Processed Dataset by Ibidapo Dare Dada, Adio T. Akinwale, Ti-Jesu Tunde-Adeleke

    Published 2025-06-01
    “…The findings highlight the effectiveness of deep learning models in capturing the semantic and contextual meaning of both student responses and marking guides, making it possible to develop more scalable and reliable automated grading solutions. …”
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