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  1. 121

    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
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    Fine-tuning selective layer architecture of hydrogel membrane towards high separation performances for engineered osmosis by Qin, Detao, Liu, Zhaoyang, Bai, Hongwei, Song, Xiaoxiao, Li, Zhengtao, Sun, Darren Delai

    Published 2020
    “…Towards this goal, the architecture of hydrogel selective layer is finely tuned for the first time for improving engineered osmosis (EO) membrane performance. …”
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    Journal Article
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    Combined knee osteoarthritis and diabetes is associated with reduced muscle strength, physical inactivity, and poorer quality of life by Seow, Shi Rui, Mat, Sumaiyah, Teoh, Jun Jie, Mohamad Yusup, Amyra, Rajab, Nor Fadilah, Ismail, Intan Safinar, Ajit Singh, Devinder Kaur, Shahar, Suzana, Tan, Maw Pin, Berenbaum, Francis

    Published 2024
    “…Results: Across groups, there were significant differences: 6 Meter Walk Test (p = 0.024), Timed Up and Go test (p = 0.020), and 5 Times Sit to Stand Test (p < 0.001), quality of life (p = 0.009), and physical activity (p = 0.036). …”
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    Article
  9. 129

    Study of long-range dispersion for Cesium-137 in Southeast Asia by Soh, Rachel Li Yi

    Published 2022
    “…The nuclear crisis in 2011 at Fukushima Daiichi Nuclear Power Plant (NPP) has brought greater awareness to safety issues of NPP. Long half-life radionuclides can be transported in the atmosphere and across oceans for long distances, which can exceed thousands of kilometers and allow effects of radioactive fallout to be more widespread. …”
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    Final Year Project (FYP)
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    The implementation of long-short term memory for tourism industry in Malaysia by Siti Aishah Tsamienah, Taib, Noratikah, Abu, Azlyna, Senawi, Kendrick Go, Clark

    Published 2025
    “…This study focuses on tourism demand forecasting based on the number of tourist arrival using recurrent neural network (RNN), which is long-short term memory (LSTM) model. The data used in this study is historical data of number of tourist arrivals in Malaysia before the onset of Movement Control Order (MCO) starting from January 2000 to February 2020 due to the COVID-19 outbreak. …”
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    Article
  13. 133

    Preferences of Persons With or at Risk for Hepatitis C for Long-Acting Treatments by Weld, Ethel D, Astemborski, Jacqueline, Kirk, Gregory D, Sulkowski, Mark S, Katz, Stephanie, Rothman, Richard, Solomon, Sunil S, Matthews, Gail V, Hsieh, Yu Hsiang, Verma, Malvika, Traverso, Giovanni, Swindells, Susan, Owen, Andrew, Feld, Jordan, Flexner, Charles, Mehta, Shruti H, Thomas, David L

    Published 2024
    “…We sought to understand the acceptability of approaches to long-acting HCV treatment. Methods A cross-sectional, 43-question survey was administered to 1457 individuals with or at risk of HCV at 28 sites in 9 countries to assess comparative interest in a variety of long-acting strategies in comparison with oral pills. …”
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    Article
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    Direct folding simulation of a long helix in explicit water by Zhang, John Z. H., Gao, Ya, Lu, Xiaoliang, Duan, Lili, Zhang, Dawei, Mei, Ye

    Published 2013
    “…Comparison of simulation results under, respectively, PHB and standard nonpolarizable force field demonstrates that polarization is critical for stable folding of this long α-helix.…”
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    Journal Article
  16. 136

    Mechanisms of long-term presynaptic plasticity at Schaffer-collateral synapses by Padamsey, Z

    Published 2014
    “…The two most common forms of plasticity are long-term potentiation (LTP) and long-term depression (LTD), both of which can be supported either by presynaptic changes in transmitter release probability (Pr), or by postsynaptic changes in AMPA receptor number. …”
    Thesis
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    Extracting structured data from organic synthesis procedures using a fine-tuned large language model by Ai, Qianxiang, Meng, Fanwang, Shi, Jiale, Pelkie, Brenden, Coley, Connor W

    Published 2024
    “…The fine-tuned model produces syntactically correct ORD records with an average accuracy of 91.25% for ORD “messages” (e.g., full compound, workups, or condition definitions) and 92.25% for individual data fields (e.g., compound identifiers, mass quantities), with the ability to recognize compound-referencing tokens and to infer reaction roles. …”
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    Article
  20. 140

    Discrete and fine wavelength tunable thermo-optic WSS for low power consumption C+L band tunability by Prabhathan, Patinharekandy, Murukeshan, Vadakke Matham, Zhang, Huijuan, Chen, Shiyi, Zhang, Jing

    Published 2013
    “…Instead of direct tuning a single MRR spectrum, the discrete and fine wavelength tunability in a Vernier configured TO-WSS has been used to achieve single wavelength selection over a high free spectral range (FSR). …”
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    Journal Article