Construction of complex nanostructures in solution phase by Xu, Jun

“…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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Fault-injection based attacks and countermeasure on deep neural network accelerators by Liu, Wenye

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Magnetic control: Switchable ultrahigh magnetic gradients at Fe3O4 nanoparticles to enhance solution-phase mass transport by Ngamchuea, K, Tschulik, K, Compton, RG

Battery energy storage selection based on a novel intermittent wind speed model for improving power system dynamic reliability by Liang, Chen, Wang, Peng, Han, Xiaoqing, Qin, Wenping, Jia, Yanbing, Yuan, Tiejiang

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Whole genome analysis of Hawksbill turtles in Singapore reveals their genetic adaptations to disease and sensory perception by Desai, Archita Sanjay

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

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

“…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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Population-specific adaptation in malaria-endemic regions of Asia by Gusareva, Elena S., Lorenzini, Paolo Alberto, Nurul Adilah Ramli, Ghosh, Amit Gourav, Kim, Hie Lim

“…We identified 285 adaptive genes showing robust selection signals across three statistical methods, iHS, XP-EHH, and PBS. …”
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Spoofing speech detection using temporal convolutional neural network by Xiao, Xiong, Li, Haizhou, Tian, Xiaohai, Chng, Eng Siong

“…Specifically, the proposed method brings a significant performance boost for the unit selection based spoofing speech detection.…”
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Phase measurements based indoor visible light positioning systems by Zhang, Sheng

“…We design the T-selection and the V-selection strategies using hybrid DPDOA and RSS measurements as fundamental positioning standard, and show that the T-selection based system outperforms the V-selection based system.…”
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Machine learning from quantum chemistry to predict experimental solvent effects on reaction rates by Chung, Yunsie, Green, William H.

“…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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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

“…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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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

“…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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Product review summarization by Lam, Wei Ren

“…Extractive approaches are often selection-based techniques where sentences of the resulting summary generated are directly selected from the dataset reviews. …”
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Optimisation strategies for directed evolution without sequencing by James, J, Towers, S, Foerster, J, Steel, H

“…We then expand our methods to the context of emerging experimental techniques in directed evolution, which allow for single-cell selection based on fitness objectives defined from any combination of measurable traits. …”

Calcium fluoride for nucleophilic fluorination by Patel, C

“…The development of a method entailing activation of acid-grade fluorspar in water (solution-phase) using B(OH)₃ or SiO₂ in the presence of a Brønsted acid, optimally oxalic acid, is then disclosed. …”

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

“…When compared directly to taking pills, differences were observed in the relative preference for an injection based on age (P<.001), location (P<.001), and prior receipt of HCV treatment (P=.005) but not sex. …”
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Tree-based Data Replay for More Efficient LLM Continual Learning by Bailey, Brian

“…Future research should explore data selection based on similarity metrics or automatic data categorization to enhance scalability and applicability.…”
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Variable selection in parametric and semiparametric models by Lin, Bingqing

“…Since the proposal of the least absolute shrinkage and selection operator (LASSO) (Tibshirani, 1996) and the smoothly clipped absolute deviation (SCAD) method (Fan and Li, 2001), there have been extensive developments on model selection based on penalized log-likelihood and the computational issues of solving these problems in linear models. …”
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Portfolio optimization with percentage error-based fuzzy random data for industrial production by Othman, Mohammad Haris Haikal, Arbaiy, Nureize, Che Lah, Muhammad Shukri, Lin, Pei-Chun

“…The main objective is to optimize selection based on industrial production, effectively managing uncertainty in traditional portfolio selection models. …”
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