Showing 2,721 - 2,740 results of 10,318 for search '((espinae OR (five OR line)) OR ((pina OR ((sbina OR sping) OR (espina OR espin))) OR ming))', query time: 0.25s Refine Results
  1. 2721

    Janus particles with tunable patch symmetry and their assembly into chiral colloidal clusters by Zhang, Tianran, Lyu, Dengping, Xu, Wei, Feng, Xuan, Ni, Ran, Wang, Yufeng

    Published 2024
    “…Here, we report on the synthesis of Janus particles with patches of various tunable shapes, having reduced symmetries ranging from C2v to C3v and C4v. The Janus particles are synthesized by partial encapsulation of an octahedral metal-organic framework particle (UiO-66) in a polymer matrix. …”
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    Journal Article
  2. 2722
  3. 2723
  4. 2724

    Solution based synthesis of Cu2ZnSnS4 nanoparticles and thin films for solar cell application by Li, Zhenggang

    Published 2014
    “…The optical band gaps of kesterite phase and wurtzite phase were estimated based on absorption measurements to be 1.48 eV and 1.55 eV respectively. The valance band and conduction band energy levels are determined using CV measurements to be -5.37 and -3.85 eV (kesterite), -5.60 and -3.91 eV (wurtzite). …”
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    Thesis
  5. 2725

    Biological corneal inlay for presbyopia derived from small incision lenticule extraction (SMILE) by Liu, Yu-Chi, Teo, Ericia Pei Wen, Ang, Heng Pei, Seah, Xin Yi, Lwin, Nyein Chan, Yam, Gary Hin Fai, Mehta, Jodhbir Singh

    Published 2018
    “…The lenticule implantation effectively resulted in central corneal steepening (simulated keratometric values increased by 1.8–2.3 diopters), central hyper-prolate changes (asphericity Q values changed by −0.26 to −0.36), corneal anterior surface elevation (7.7–9.3 μm) and reasonable effective zone (1.5–1.8 times of the lenticule physical diameter), with no differences among the three groups. …”
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    Journal Article
  6. 2726

    Towards Synergistic Understanding of Language Processing in Biological and Artificial Systems by Hosseini Asl, Eghbal

    Published 2024
    “…Despite decades of research aimed at uncovering the neural mechanisms underlying activity in this network, a computationally precise account has remained elusive. Over the past five years, artificial neural networks (ANNs) have achieved capabilities in the comprehension and production of language that are indistinguishable from those of humans, and their internal representations bear similarity to activity within the language network. …”
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    Thesis
  7. 2727

    Grid optimization and demand side mangement for electric vehicles penetration in remote area by Zhang, Yixiao, Ng, Eddie Yin Kwee, Li, Ning

    Published 2023
    “…Power grid model simulation: use government data to predict that Trincomalee's electricity demand will increase from the current 40MW to 640MW in five years and build a grid simulation model for Sri Lanka's national high-voltage transmission lines. …”
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    Conference Paper
  8. 2728

    Detection of road markings for advanced driver assistance by Suchitra Sathyanarayana

    Published 2013
    “…Evaluation of the AHPD on the 101 CMU object database confirms that it can successfully detect the major line features of interest, including lines of close proximity and lines of varying lengths amidst noise. …”
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    Thesis
  9. 2729

    Facies analysis and depositional model of the middle-upper triassic Semantan formation, Central Pahang, Malaysia by Muhammad Azfar, Mohamed, Mazshurraiezal, Nasir, Mohd Syukri, Said, Meng, Choongchee, Mohamad Shaufi, Sokiman, Nur Asyraf, Md Akhir, Muhammad Aslam, Md Yusof, Muhammad Noor Amin, Zakariah, Mohd Nizam, Abdul Rashid, Salahuddin, Husein, Noorzamzarina, Sulaiman, Afiq Naim, Mohd

    Published 2022
    “…It is believed that these five genetic units were deposited within four proposed laterally contiguous depositional environments which are; 1) Inner fan - deep channel-levee complex (represent by FA1), 2) Mid fan - channelised lobe (represented by FA5 and FA3), 3) Mid Fan - non-channelised lobe (represented by FA4 and FA3), and 4) Outer fan - distal lobe (represented by FA2). …”
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    Article
  10. 2730

    Identification of potent new brain cancer EGFR inhibitor from usimine A and usimine B: computer-aided drug design perspective by Roney, Miah, Issahaku, Abdul Rashid, Wilhelm, Anke, Mohd Fadhlizil Fasihi, Mohd Aluwi

    Published 2024
    “…This compound exhibited five hydrogen bonds with the residues of Leu792, Met793, Asn842, Thr854, and Val843 in the active site of EGFR protein. …”
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    Article
  11. 2731

    Autonomy Work: Personhood, Expertise, and Activism of Disabled AI Data Workers in China by Wu, Di

    Published 2024
    “…This is supplemented by five years of my professional experience in disability nonprofits. …”
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    Thesis
  12. 2732
  13. 2733

    Correction of errors in tandem mass spectrum extraction enhances phosphopeptide identification by Hao, Piliang, Ren, Yan, Sze, Siu Kwan, Tam, James P.

    Published 2014
    “…Surprisingly, ProteoWizzard (v. 3.0.3476) extracted wrong precursor mass for most MS3 spectra. …”
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    Journal Article
  14. 2734

    Desymmetrisation of 1,3-diols and their diacetates under enzymatic heterogeneous catalysis and synthesis of 1,3-diols under continuous flow conditions by Pamarthy, Varsha Siri

    Published 2019
    “…One of the key steps in the synthesis of one such piperidone, N-benzyl-5- methoxypiperidone, is the desymmetrisation of 1,3-diol, N-Benzyl-5-hydroxy-4- (hydroxymethyl)pentanamide or 1,3-diacetate, N-Benzyl-5-acetoxy-4- (acetoxymethyl)pentanamide, which provide access to the (R)- and (S)- enantiomers of the piperidone, respectively. …”
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    Thesis
  15. 2735

    A ranking of critical competencies for maritime logistics executives in the era of digitalisation by Ng, Charlene Xin Ying

    Published 2021
    “…The sub-competency Leadership and Managerial Abilities was ranked top five globally in importance, showing that this sub-competency is important regardless of position in the organisation. …”
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    Final Year Project (FYP)
  16. 2736

    Dynamic obstacle avoidance in mobile robots using adversarial deep learning by Tan, Chun Ye

    Published 2022
    “…The proposed solution is to develop an adversarial deep learning-trained neural network model that can navigate to goals as far as five meters while avoiding any potential obstacles, static and dynamic, that may come in the way. …”
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    Final Year Project (FYP)
  17. 2737

    Developing a system that uses ultrawide-band inertial measurement units to quantify selected 10-Pin skills in real-time by Wee, Joel Jiewei

    Published 2022
    “…Ten-pin bowling is a unique abstract sport that requires bowlers to deliver a 11-to-16-pound ball in a five-step approach for the ball to travel down the oiled lane to knock down 10 pins. …”
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    Final Year Project (FYP)
  18. 2738

    Genotype-specific expression and NLR repertoire contribute to phenotypic resistance diversity in Plantago lanceolata by Safdari, Pezhman, Höckerstedt, Layla, Brosche, Mikael, Salojärvi, Jarkko, Laine, Anna-Liisa

    Published 2022
    “…Here, we sequenced the transcriptomes of five different Plantago lanceolata genotypes when inoculated by the same strain of obligate fungal pathogen Podosphaera plantaginis. …”
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    Journal Article
  19. 2739

    Hierarchical skeleton Meta-Prototype Contrastive learning with hard skeleton mining for unsupervised person re-identification by Rao, Haocong, Leung, Cyril, Miao, Chunyan

    Published 2023
    “…Extensive evaluations on five datasets demonstrate that our approach outperforms a wide variety of state-of-the-art skeleton-based methods. …”
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    Journal Article
  20. 2740

    Influence of Fe₂O₃ and bacterial biofilms on Cu(II) distribution in a simulated aqueous solution: a feasibility study to sediments in the Pearl River Estuary (PR China) by Kurniawan, Tonni Agustiono, Lo, Waihung, Othman, Mohd Hafiz Dzarfan, Liang, Xue, Goh, Hui Hwang, Chew, Kit Wayne

    Published 2023
    “…It was found that biofilms with 170-285 mequiv chemical oxygen demand (COD) concentration/m2 of total oxidizable materials accelerated the Cu(II) adsorption to the surface of the reactor significantly by a factor of five. A significant inhibition to the bacterial growth took place (p ≤ 0.05; t-test) when Cu(II) concentration was higher than 0.5 mg/L. …”
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    Journal Article