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  1. 41

    The road to federalism : finding the middle ground in Nepal, Myanmar and Sri Lanka by Breen, Michael Gerard

    Published 2017
    “…Nepal, Myanmar and Sri Lanka are finding a middle ground whereby deliberative and moderating institutions are combined with accommodating ones to balance centrifugal and centripetal forces. …”
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    Thesis
  2. 42

    Finding meaning in the meaningless : the language of faith surrounding pentecostal glossolalia in Singapore by Mah, Benjamin Ye-Zhong

    Published 2018
    “…Presbyterians, on the other hand, believe that it must be a natural language foreign to the speaker. In order to find out how these differences in faith and opinion are expressed through religious language, participants from two Singaporean churches, City Harvest Church and Bukit Batok Presbyterian Church, are interviewed. …”
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    Final Year Project (FYP)
  3. 43
  4. 44

    The 'Clisurean' finds from Climente II cave, Iron Gates, Romania by Bonsall, C, Boroneanţ, A, Evatt, A, Soficaru, A, Nica, C, Bartosiewicz, L, Cook, G, Higham, TFG, Pickard, C

    Published 2016
    “…This article presents a re-evaluation of the archaeological finds from Climente II. Osteological analysis of the human remains confirms at least three individuals: a robust, young adult male aged between 18 and 28 years, a second (older) adult, and a neonate. …”
    Journal article
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  7. 47

    Sympathising with the monster by subverting the human-monster dichotomy in fantastic beasts and where to find them by Jahafar, Mohammed

    Published 2017
    “…Rowling’s Fantastic Beasts and Where to Find Them (Fantastic Beasts). By appropriating two conventional monster narrative tropes, the Obscurial becomes an instrument to decipher our apprehensions, pathologies and fixations. …”
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    Final Year Project (FYP)
  8. 48
  9. 49

    Preliminary study on laser texturing of glass: Techniques, process parameters, and initial findings by Rai, Rahool, Mahadzir, Ishak, Aiman, Mohd Halil, Quazi, Moinuddin Mohammed

    Published 2025
    “…Various laser parameters such as power, scanning speed, and repetition rate were studied for trial to understand their impact on surface morphology and functionality. Initial findings reveal that laser texturing can effectively improve glass surface properties, creating superhydrophobic surfaces while maintaining optimal transparency. …”
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    Article
  10. 50
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  12. 52

    Compressive strength and fire resistance of mortar containing crushed cockle shell as fine aggregate replacement by Hanis Nadiah, Ruslan, Khairunisa, Muthusamy, Mohd Faizal, Md Jaafar, Nabilla, Mohamad, Nur Farah Aziera, Jamaludin

    Published 2024
    “…Thus, the current study investigates the influence of substitution of crushed cockle shell as a partial fine aggregate on the compressive strength and fire resistance of mortar. …”
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    Conference or Workshop Item
  13. 53

    The enduring importance of the “fine cuts” approach to psychology: EPS Mid-Career Award Lecture 2024 by Bird, G

    Published 2024
    “…In this article, I take a selective review of work undertaken by my colleagues and me in an attempt to show the enduring importance of the “fine cuts” approach to psychology. This approach highlights the importance of causal, specific, and falsifiable psychological models, and the rigorous experimental designs needed to test them. …”
    Journal article
  14. 54

    Long-term fine particulate matter exposure on lung cancer incidence and mortality in Chinese nonsmokers by Chen, Z, Meng, X, Han, Y, Mou, Y, Ji, C, Zhu, X, Yu, C, Sun, D, Yang, L, Sun, Q, Chen, Y, Du, H, Dai, J, Hu, Z, Lv, J, Jin, G, Ma, H, Kan, H, Li, L, Shen, H

    Published 2025
    “…<p><strong>Rationale:</strong> The association between fine particulate matter (PM<sub>2.5</sub>) and lung cancer incidence in non-smokers (LCINS) remains inconsistent. …”
    Journal article
  15. 55

    Spherical mask: coarse-to-fine 3D point cloud instance segmentation with spherical representation by Shin, S, Zhou, K, Vankadari, M, Markham, A, Trigoni, N

    Published 2024
    “…Coarse-to-fine 3D instance segmentation methods show weak performances compared to recent Grouping-based, Kernel-based and Transformer-based methods. …”
    Conference item
  16. 56

    Towards a consensus for dyslexia practice: findings of a Delphi study on assessment and identification by Snowling, M

    Published 2024
    “…Forty-two consensus statements were ultimately accepted.</p> <p>Findings suggested that assessment practice should take account of risks to the accurate identification of dyslexia. …”
    Journal article
  17. 57

    Clinical manifestations, laboratory and diagnostic imaging findings of feline upper respiratory and pleural infections by Sim, Juin Jia

    Published 2022
    “…History, signalment and physical examination information of the cats were obtained. Laboratory findings including haematology, biochemistry, cytology, bacterial identification and diagnostic imaging findings were analysed. …”
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    Thesis
  18. 58

    Applying population mechanistic modelling to find determinants of CAR-T dynamics in month-one lymphoma patients -- Dataset by Brown, L

    Published 2024
    “…Supplementary Dataset for the paper:<br> Applying population mechanistic modelling to find determinants of CAR-T dynamics in month-one lymphoma patients…”
    Dataset
  19. 59

    An Effective Med-VQA Method Using a Transformer with Weights Fusion of Multiple Fine-Tuned Models by Al-Hadhrami, Suheer, Menai, Mohamed El Bachir, Al-Ahmadi, Saad, Alnafessah, Ahmad

    Published 2024
    “…The second model, the greedy-soup-based model, uses a greedy soup technique based on the fusion of multiple fine-tuned models to set the model parameters. The greedy soup selects the model parameters by fusing the model parameters that have significant performance on the validation accuracy in training. …”
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    Article
  20. 60

    Evaluating Adaptive Layer Freezing through Hyperparameter Optimization for Enhanced Fine-Tuning Performance of Language Models by Figueroa, Reinaldo

    Published 2024
    “…When dealing with data scarcity, transfer learning has become the go-to method to use these models in specialized downstream tasks via fine-tuning. However, fine-tuning on small datasets can lead to overfitting and a lack of generalization. …”
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    Thesis