Showing 1 - 20 results of 27 for search '(((("selection bias") OR ("selection via"))) OR ((("skeleton based") OR ("solution phase"))))', query time: 0.17s Refine Results
  1. 1

    Construction of complex nanostructures in solution phase by Xu, Jun

    Published 2013
    “…In this thesis, the main work explored a new methodology for preparation of complex nanostructures in solution phase. There are two strategies, namely 1) block copolymer assisted nanoparticle (NP) self-assembly and 2) oil/water in-terface assembly. …”
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    Thesis
  2. 2

    Skeleton-based human action recognition with graph neural networks by U S Vaitesswar

    Published 2022
    “…Skeleton-based action recognition is a long-standing task in computer vision which aims to distinguish different human actions by identifying their unique characteristic patterns in the input data. …”
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    Thesis-Master by Research
  3. 3

    Skeleton-based online action prediction using scale selection network by Liu, Jun, Shahroudy, Amir, Wang, Gang, Duan, Ling-Yu, Kot, Alex C.

    Published 2022
    “…The extensive experiments demonstrate the effectiveness of our method for skeleton-based online action prediction.…”
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    Journal Article
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    Hierarchical skeleton Meta-Prototype Contrastive learning with hard skeleton mining for unsupervised person re-identification by Rao, Haocong, Leung, Cyril, Miao, Chunyan

    Published 2023
    “…With rapid advancements in depth sensors and deep learning, skeleton-based person re-identification (re-ID) models have recently achieved remarkable progress with many advantages. …”
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    Journal Article
  8. 8

    Principled Exploration of Bipyridine and Terpyridine Additives to Promote Methylammonium Lead Iodide Perovskite Crystallization by Hartono, Noor Titan Putri, Ani Najeeb, Mansoor, Li, Zhi, Nega, Philip W., Fleming, Clare A., Sun, Xiaohe, Chan, Emory M., Abate, Antonio, Norquist, Alexander J., Schrier, Joshua, Buonassisi, Tonio

    Published 2024
    “…We present a systematic exploration of nine (9) bipyridine- and terpyridine-based additives selected from 29 candidates using high-throughput single-crystal growth. To combat selection bias and generate hypotheses for future experimental cycles of learning, we featurize candidate additives using Mordred descriptors and compare similarity metrics. …”
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    Article
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    Methodological, political and legal issues in the assessment of the effects of nanotechnology on human health by Schulte, Paul A, Riediker, Michael, Fatkhutdinova, Liliya, Bergamaschi, Enrico, Canu, Irina Guseva

    Published 2019
    “…Forming ENM worker cohorts from a combination of smaller cohorts and overcoming selection bias are also challenges. National or international registries for monitoring the exposures and health of ENM workers would be helpful for epidemiological studies, but the creation of such a registry and ENM worker cohorts will require political support and dedicated funding at the national and international levels. …”
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    Journal Article
  11. 11

    Biochemical Analysis of Poly(ethylene terephthalate) Film Degradation Kinetics of Engineered IsPETase Variants by Zhong-Johnson, En Ze Linda

    Published 2025
    “…However, little is known about the surface reaction and how biochemical behavior might differ on a 2D solid surface compared to solution phase. Consequently, traditional solution-phase biochemical models, such as Michaelis-Menten, may not be directly applicable to kinetics of these enzymes, as the catalysis is occurring under a heterogeneous phase. …”
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    Thesis
  12. 12

    The GCSE attainment gap: assessing the influence of permanent school exclusion by Hills, Stephen, Walker, Matthew, Guinn, James, Kent, Aubrey

    Published 2025
    “…This is a critical limitation of the research due to the influence of confounding variables and sample selection bias. Using the National Pupil Database and a full cohort of UK pupils (N=590,092), our analysis tracked a sample of 1,490 pupils permanently excluded in year 11 of the English education system in 2018/19. …”
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    Article
  13. 13

    A materials science framework for connecting protein stability with surface adsorption and coating applications by Ma, Gamaliel Junren

    Published 2022
    “…The noncovalent adsorption behavior of protein molecules is governed by various interfacial forces between the protein molecule in solution and the solid surface, as well as by intramolecular forces which determine a protein’s folded structure and solution-phase conformational stability. Although a protein’s conformational stability has been closely linked to its extent of unfolding in the adsorbed state, it remains to be understood how this relationship may be exploited in order to control a protein’s adsorption behavior and adlayer properties to suit specific application needs. …”
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    Thesis-Doctor of Philosophy
  14. 14

    Machine learning from quantum chemistry to predict experimental solvent effects on reaction rates by Chung, Yunsie, Green, William H.

    Published 2024
    “…In this work, we generate a large set of data with the COSMO-RS method for over 28 000 neutral reactions and 295 solvents and train a machine learning model to predict the solvation free energy and solvation enthalpy of activation (ΔΔG‡solv, ΔΔH‡solv) for a solution phase reaction. On unseen reactions, the model achieves mean absolute errors of 0.71 and 1.03 kcal mol−1 for ΔΔG‡solv and ΔΔH‡solv, respectively, relative to the COSMO-RS calculations. …”
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    Article
  15. 15

    Dimensionality selection in a molecule-based magnet by Goddard, Paul A., Manson, Jamie L., Singleton, John., Franke, Isabel., Lancaster, Tom., Steele, Andrew J., Blundell, Stephen J., Pratt, Francis L., McDonald, Ross D., Ayala-Valenzuela, Oscar E., Corbey, Jordan F., Southerland, Heather I., Schlueter, John A., Baines, Christopher, Sengupta, Pinaki

    Published 2013
    “…Here we demonstrate a chemical method which achieves dimensionality selection via preferential inhibition of the magnetic exchange in an S=1/2 antiferromagnet along one crystal direction, switching the system from being quasi-two- to quasi-one-dimensional while effectively maintaining the nearest-neighbor coupling strength.…”
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    Journal Article
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    Epitaxial growth of unusual 4H hexagonal Ir, Rh, Os, Ru and Cu nanostructures on 4H Au nanoribbons by Fan, Zhanxi, Chen, Ye, Zhu, Yihan, Wang, Jie, Li, Bing, Zong, Yun, Han, Yu, Zhang, Hua

    Published 2018
    “…Herein, for the first time, the unusual 4H hexagonal Ir, Rh, Os, Ru and Cu nanostructures have been synthesized on 4H Au nanoribbons (NRBs) via solution-phase epitaxial growth under ambient conditions. …”
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    Journal Article
  17. 17

    Thermodynamics of multi-sublattice battery active materials: from an extended regular solution theory to a phase-field model of LiMnyFe1-yPO4 by Ombrini, Pierfrancesco, Bazant, Martin Z, Wagemaker, Marnix, Vasileiadis, Alexandros

    Published 2024
    “…Furthermore, we develop a phase-field model of LFMP that consistently matches experimental data and identifies LiMn0.4Fe0.6PO4 as a superior composition that favors a solid solution phase transition, making it ideal for high-power applications.…”
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    Article
  18. 18

    Calcium fluoride for nucleophilic fluorination by Patel, C

    Published 2024
    “…The development of a method entailing activation of acid-grade fluorspar in water (solution-phase) using B(OH)<sub>3</sub> or SiO<sub>2</sub> in the presence of a Brønsted acid, optimally oxalic acid, is then disclosed. …”
    Thesis
  19. 19

    Electrode modification by diazonium chemistry : studies on the effect of steric bulk on film thickness, and modified activated carbon cloths for energy storage by Subrata, Arnold

    Published 2021
    “…Among these molecules were single-walled carbon nanotubes (SWCNTs), which allowed for the formation of GC–TMA–SWCNT and an assessment of the ability of the tethered SWCNTs to function as molecular wires for both solution-phase and SWCNT-bound species. The second part of the thesis puts the focus on the modification of activated carbon cloth (ACC) electrodes for their use in supercapacitors, such as electric double layer capacitors (EDLCs). …”
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    Thesis-Doctor of Philosophy
  20. 20

    Growth and physical properties of organic semiconducting single crystals by Tan, Ke Jie

    Published 2012
    “…Numerous high quality mono-component and charge-transfer (CT) binary-component molecular single crystals have been grown using solution phase and gas phase methods. Powder X-ray diffraction (PXRD), single crystal X-ray diffraction (SCXRD) and cross-polarized light microscopy (CPLM) were done to characterize the crystallinity and the crystal phase of the single crystals. …”
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    Thesis