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Showing 81 - 100 results of 4,578 for search '((ssainae OR (fine OR like)) OR (((ping OR (pina OR bina)) OR espina) OR spin))', query time: 0.20s Refine Results
  1. 81
  2. 82

    会话分析研究 : “like” 在新加坡华语中的语用功能 = Conversation analysis : “like” in Singapore Mandarin conversations by 陈珠凤 Tan, Kyu Houng

    Published 2018
    “…在新加坡特殊的多语环境下,新加坡人的日常会话中经常参杂了多种语言,如英语、华语、马来语、方言以及Singlish的外来词都可在同一段会话中出现。“Like” 虽然是个英文词,但在年轻新加坡人的华语会话中的使用频率较高。“Like” 在英语中有动词、介词和连词的用法,不过近几年的语言发展趋势已让 “like” 的运用出现了话语标记的功能。…”
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    Final Year Project (FYP)
  3. 83

    Probing axion-like particles at the Electron-Ion Collider by Balkin, Reuven, Hen, Or, Li, Wenliang, Liu, Hongkai, Ma, Teng, Soreq, Yotam, Williams, Mike

    Published 2024
    “…In this article, we study the potential of the EIC to probe the coupling between axion-like particles (ALPs) and photons in coherent scattering. …”
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    Article
  4. 84
  5. 85

    Characterisation of a diamond-like carbon deposition process by Tan, Kian Hua.

    Published 2008
    “…Diamond-like carbon (DLC) films have attracted great interest in several applications in optical and tribological systems, and field emission displays due to its unique properties such as, high optical transparency in the infrared (IR) region, low electron affinity and high chemical inertness. …”
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    Thesis
  6. 86

    Calcium regulation of glucagon-like peptide-1 secretion. by Chua, Sharon Chia Ling.

    Published 2010
    “…Glucagon-like peptide (GLP-1), a hormone secreted from enteroendocrine L-cells in response to nutrient ingestion. …”
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    Final Year Project (FYP)
  7. 87
  8. 88

    Effect of symmetry of branching on leaf-like flow channel by Huang, Zhiwei

    Published 2017
    “…This study aims to examine the effect of symmetry of branching in a leaf-like network on pressure drop and heat transfer performance. …”
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    Final Year Project (FYP)
  9. 89

    Modeling human-like non-rationality in social agents by Kochanowicz, Jaroslaw Slawomir

    Published 2018
    “…Finally, the issue of parametrization of socio-cognitive models, like SCCM and SCP is addressed by a semi-automatic, crowd-sourcing based parametrization system. …”
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    Thesis
  10. 90
  11. 91

    Modeling autobiographical memory in human-like autonomous agents by Wang, Di, Tan, Ah-Hwee, Miao, Chunyan

    Published 2018
    “…With the motivation of developing human-like intelligence, in this paper, we delineate our approach to enable an agent to maintain memories of its own and to wander in mind. …”
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    Conference Paper
  12. 92

    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. 93

    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. 94

    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. 95

    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. 96

    Representation theoretic interpretation and interpolation properties of inhomogeneous spin q-Whittaker polynomials by Korotkikh, Sergei

    Published 2024
    “…Using this construction, we are able to prove a Cauchy-type identity for inhomogeneous spin q-Whittaker polynomials in full generality. …”
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    Article
  17. 97

    Two-qubit sweet spots for capacitively coupled exchange-only spin qubits by Feng, MengKe, Zaw, Lin Htoo, Koh, Teck Seng

    Published 2021
    “…We study capacitive coupling between two triple quantum dot spin qubits encoded in the S = 1/2, Sz = −1/2 decoherence-free subspace—the exchange-only (EO) spin qubits. …”
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    Journal Article
  18. 98

    Modelling of spintronic terahertz emitters as a function of spin generation and diffusion geometry by Yang, Yingshu, Dal Forno, Stefano, Battiato, Marco

    Published 2023
    “…In particular, geometry, composition, pump laser frequency, and spin diffusion will be significant in understanding the pathways for further research developments. …”
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    Journal Article
  19. 99

    Synthesis and electrochemical performance of aluminum antimonide alloy anode prepared by melt spinning by Kharistal, Daniel Julian

    Published 2014
    “…Another advantage in using melt spinning process is that it can produce materials with high throughput and high purity metal alloy products with little to no impurities, which is beneficial to the battery performance. …”
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    Thesis
  20. 100

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

    Published 2024
    “…Conversely, overfitting is highly likely to occur when training on small datasets. This thesis proposes and evaluates a new method for fine-tuning language models by adaptively choosing specific learning rates for each transformer layer that provide higher performance on in-domain low-volume datasets. …”
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    Thesis