Showing 1 - 20 results of 43 for search '(fully OR bill) ((drawos OR (drag OR drug)) OR (dron OR (drain OR brain)))', query time: 0.17s Refine Results
  1. 1

    Heat transfer enhancement in drag-reducing channel flow by Yeo, Keng Hoo

    Published 2008
    “…In the present study, a two-dimensional water tunnel was designed and fabricated to investigate drag reduction by surfactant additives. Flow development check experiments were performed with different concentrations of surfactant additives to justify the fully developed flow conditions at the test section. …”
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    Thesis
  2. 2

    Deep graph contrastive learning model for drug-drug interaction prediction by Jiang, Zhenyu, Gong, Zhi, Dai, Xiaopeng, Zhang, Hongyan, Ding, Pingjian, Shen, Cong

    Published 2024
    “…The existing methods often do not fully explore the relationship between the structural information and the functional information of drug molecules, resulting in low prediction accuracy for drug interactions, poor generalization, and other issues. …”
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    Journal Article
  3. 3

    Scaling of the velocity profile in strongly drag reduced turbulent flows over an oscillating wall by Skote, Martin

    Published 2016
    “…Scaling analysis of the velocity profiles in strongly drag reduced flows reveals that the slope of the logarithmic part depends on the amount of drag reduction (DR). …”
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    Journal Article
  4. 4

    Liposomal encapsulation of pro-NO donor drug by Koh, Cheryl Jie Yan

    Published 2020
    “…In-vitro release study conducted using Phosphate buffered saline solution found that the drug was not fully encapsulated in the core of the liposomes, resulting in complete release of nitric oxide within a day. …”
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    Final Year Project (FYP)
  5. 5

    Thermal volume change of saturated clays: a fully coupled thermo-hydro-mechanical finite element implementation by Wang, Hao, Qi, Xiaohui

    Published 2022
    “…Based on the model, a fully coupled thermo-hydro-mechanical (THM) finite element (FE) code is developed. …”
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    Journal Article
  6. 6
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    Low-noise sensor interface circuits for implantable brain interfaces by Zhang, Beixi

    Published 2014
    “…The technological of low -noise sensor interface circuits is a frontier science in nowadays.If the research of this kind of circuit is successful,the circuit will be widely used in medicine,for example,the implantable brain interfaces.In this report,an new kind of neural amplifier will be designed and it uses a MOS-bipolar pseudo-resistor element to form this circuit.Certainly,this amplifier can amplify low-frequency signals with low-noise.This amplifier is fully integrated with characteristics like low power consumption and small area,and it can record a large range frequency of biological signal. …”
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    Final Year Project (FYP)
  8. 8

    Dynamic drug combination methods for suppressing bacterial antibiotics resistance adaptation by Bhone, Myint Kyaw

    Published 2014
    “…It is resistant to many drugs and the glycopeptide vancomycin is the only available antibiotic that is active against MRSA infections. …”
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    Thesis
  9. 9
  10. 10

    Improved virtual keyboard design for P300-based brain-computer interface by Tay, Abel Ping Liang.

    Published 2009
    “…Amyotrophic lateral sclerosis (ALS), brainstem stroke, brain or spinal cord injury, cerebral palsy, muscular dystrophies, multiple sclerosis, and numerous other diseases impair the neural pathways that control muscles or impair the muscles themselves. …”
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    Final Year Project (FYP)
  11. 11
  12. 12

    AI is a viable alternative to high throughput screening: a 318-target study by Wallach, Izhar, Bernard, Denzil, Nguyen, Kong, Ho, Gregory, Morrison, Adrian, Stecula, Adrian, Rosnik, Andreana, O’Sullivan, Ann Marie, Davtyan, Aram, Samudio, Ben, Thomas, Bill, Worley, Brad, Butler, Brittany, Laggner, Christian, Thayer, Desiree, Moharreri, Ehsan, Friedland, Greg, Truong, Ha, van den Bedem, Henry, Ng, Ho Leung, Stafford, Kate, Sarangapani, Krishna, Giesler, Kyle, Ngo, Lien, Mysinger, Michael, Ahmed, Mostafa, Anthis, Nicholas J., Henriksen, Niel, Gniewek, Pawel, Eckert, Sam, de Oliveira, Saulo, Suterwala, Shabbir, PrasadPrasad, Srimukh Veccham Krishna, Shek, Stefani, Contreras, Stephanie, Hare, Stephanie, Palazzo, Teresa, O’Brien, Terrence E., Van Grack, Tessa, Williams, Tiffany, Chern, Ting-Rong, Kenyon, Victor, Lee, Andreia H., Cann, Andrew B., Bergman, Bastiaan, Anderson, Brandon M., Cox, Bryan D., Warrington, Jeffrey M., Sorenson, Jon M., Goldenberg, Joshua M., Young, Matthew A., DeHaan, Nicholas, Pemberton, Ryan P., Schroedl, Stefan, Abramyan, Tigran M., Gupta, Tushita, Mysore, Venkatesh, Presser, Adam G., Ferrando, Adolfo A., Andricopulo, Adriano D., Ghosh, Agnidipta, Ayachi, Aicha Gharbi, Mushtaq, Aisha, Shaqra, Ala M., Toh, Alan Kie Leong, Smrcka, Alan V., Ciccia, Alberto, de Oliveira, Aldo Sena, Sverzhinsky, Aleksandr, de Sousa, Alessandra Mara, Agoulnik, Alexander I., Kushnir, Alexander, Freiberg, Alexander N., Statsyuk, Alexander V., Gingras, Alexandre R., Degterev, Alexei, Tomilov, Alexey, Vrielink, Alice, Garaeva, Alisa A., Bryant-Friedrich, Amanda, Caflisch, Amedeo, Patel, Amit K., Rangarajan, Amith Vikram, Matheeussen, An, Battistoni, Andrea, Caporali, Andrea, Chini, Andrea, Ilari, Andrea, Mattevi, Andrea, Foote, Andrea Talbot, Trabocchi, Andrea, Stahl, Andreas, Herr, Andrew B., Berti, Andrew, Freywald, Andrew, Reidenbach, Andrew G., Lam, Andrew, Cuddihy, Andrew R., White, Andrew, Taglialatela, Angelo

    Published 2024
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    Journal Article
  13. 13

    Multi-trap energy states in GaN HEMTs : characterization and modeling by Binit Syamal, Zhou, Xing, Chiah, Siau Ben

    Published 2020
    “…For STE level, the emission-time constant factor saturates very quickly with increasing drain voltage. However, with MTE levels, the time-constant factor continues to increase and saturates at higher drain bias, exhibiting a similar trend as observed in current transient analysis under ON-state stress measurements. …”
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    Conference Paper
  14. 14

    Nickel-silicided Schottky junction CMOS transistors with gate-all-around nanowire channels by Tang, L. J., Ho, C. K. F., Tan, Eu Jin, Pey, Kin Leong, Singh, Navab, Lo, Guo-Qiang, Chi, Dong Zhi, Chin, Yoke King, Lee, Pooi See

    Published 2012
    “…The transistors exhibit good Ion/Ioff characteristics, along with fully controlled shortchannel effects revealed by low drain-induced barrier lowering (~10 mV/V) and near-ideal subthreshold swing (~60 mV/dec). …”
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    Journal Article
  15. 15

    A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs by Mao, X, Huang, Y, Jin, Y, Wang, L, Chen, X, Liu, H, Yang, X, Xu, H, Luan, X, Xiao, Y, Feng, S, Zhu, J, Zhang, X, Jiang, R, Zhang, S, Chen, T

    Published 2025
    “…To address these challenges, we introduce PhenoBrain, a fully automated artificial intelligence pipeline. …”
    Journal article
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  17. 17

    Active control of wakes and vortex-induced vibration of a circular cylinder at Re = 100 by Wang, Chenglei

    Published 2016
    “…As zero net-mass-flux jets, SJs have been widely applied in flow separation control and drag reduction for bluff bodies. However, their implementation for VIV control is rare and still remains not fully understood. …”
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    Thesis
  18. 18

    Graphene oxide nanoplatelets potentiate anticancer effect of cisplatin in human lung cancer cells by Nur Farhanah Rosli, Fojtů, Michaela, Fisher, Adrian C., Pumera, Martin

    Published 2021
    “…However, despite vast research on GO, anticancer properties and drug carrier capabilities of graphene oxide nanoplatelets have yet to be fully explored. …”
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    Journal Article
  19. 19

    Animus: human-embodied animals by Savulescu, J, Sawai, T

    Published 2023
    “…We review recent research to introduce human brain organoids into the brains of infant rats. This research shows these organoids integrate and function to affect behaviour in rats. …”
    Journal article
  20. 20

    The Relationship between Linguistic Representations in Biological and Artificial Neural Networks by Kauf, Carina

    Published 2024
    “…For example, we do not have the option to learn about the neural circuits that support these capabilities by studying simpler systems than the human brain, such as animal models. However, recent advances in engineering have provided new tools for studying language: artificial neural network language models (LMs), which exhibit remarkable linguistic capabilities and are fully intervenable. …”
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    Thesis