Publications by authors named "Yat-Lam Wong"

: Breast cancer survivors often face physical and psychological challenges, including weight gain, metabolic syndrome, and reduced quality of life. To address these concerns, a mobile app-based rehabilitation program called "THRIVE" was developed to improve physical activity, medication adherence, and health-related quality of life (HRQoL) in this population. : This prospective, single-arm study assessed the feasibility and effectiveness of the "THRIVE" app among breast cancer survivors undergoing hormonal therapy.

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Background: Time-resolved magnetic resonance fingerprinting (MRF), or 4D-MRF, has been demonstrated its feasibility in motion management in radiotherapy (RT). However, the prohibitive long acquisition time is one of challenges of the clinical implementation of 4D-MRF. The shortening of acquisition time causes data insufficiency in each respiratory phase, leading to poor accuracies and consistencies of the predicted tissues' properties of each phase.

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Background And Purpose: Motion estimation from severely downsampled 4D-MRI is essential for real-time imaging and tumor tracking. This simulation study developed a novel deep learning model for simultaneous MR image reconstruction and motion estimation, named the Downsampling-Invariant Deformable Registration (D2R) model.

Materials And Methods: Forty-three patients undergoing radiotherapy for liver tumors were recruited for model training and internal validation.

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Purpose: The objective of this study was to develop a respiratory-correlated (RC) 4-dimensional (4D) imaging technique based on magnetic resonance fingerprinting (MRF) (RC-4DMRF) for liver tumor motion management in radiation therapy.

Methods And Materials: Thirteen patients with liver cancer were prospectively enrolled in this study. k-space MRF signals of the liver were acquired during free-breathing using the fast acquisition with steady-state precession sequence on a 3T scanner.

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Article Synopsis
  • Solar water splitting through photoelectrochemical reactions is a growing method for producing hydrogen, aided by gold nanoparticles (AuNPs) to enhance light absorption.
  • The traditional setup with titanium oxide (TiO) and AuNPs faces challenges due to the conflicting movement of excited electrons, which hampers efficiency under different light conditions.
  • A novel photocathode design incorporating a nickel oxide (NiO) layer enables better charge carrier directionality and energy transfer, achieving significant improvements in efficiency, with a photon-to-current efficiency of 1.5% and a hydrogen production rate of 16.4 μmol·cm·h.
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Plasmon-induced hot carriers have recently attracted considerable interest, but the energy efficiency in visible light is often low due to the short lifetime of hot carriers and the limited optical absorption of plasmonic architectures. To increase the generation of hot carriers, we propose to exert multiple plasmonic resonant modes and their strong coupling using a metal-dielectric-metal (MDM) nanocavity that comprises an Au nanohole array (AuNHA), a TiO thin film and an Au reflector. Unlike common MDM structures, in addition to the Fabry-Pérot mode in the dielectric layer, AuNHA as the top layer is special because it excites the localized surface plasmon resonance (LSPR) mode in the Au nanoholes and launches the gap surface plasmon polariton (GSPP) mode in the Au reflector surface.

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This work reports a microfluidic reactor that utilizes gold nanoparticles (AuNPs) for the highly efficient photocatalytic degradation of organic pollutants under visible light. The bottom of microchamber has a TiO film covering a layer of AuNPs (namely, TiO/AuNP film) deposited on the F-doped SnO (FTO) substrate. The rough surface of FTO helps to increase the surface area and the AuNPs enables the strong absorption of visible light to excite electron/hole pairs, which are then transferred to the TiO film for photodegradation.

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