Publications by authors named "Wonil Lee"

The rapid advancement and stringent requirements of extreme ultraviolet (EUV) lithography technology necessitate the development of advanced photoresist systems for next-generation microelectronics. Recent studies have demonstrated that inorganic-based hybrid photoresists offer notable improvements in EUV sensitivity, etch resistance, and greater insusceptibility to pattern collapse compared to their purely organic counterparts. However, variations in the synthesis/coating approaches and chemistry of inorganic-organic photoresists can result in distinct exposure mechanisms.

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Polymeric membranes with great processability are attractive for the H/CO separation required for hydrogen production from renewable biomass with carbon capture for utilization and sequestration. However, it remains elusive to engineer polymer architectures to obtain desired sub-3.3 Å ultramicropores to efficiently sieve H from CO.

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Purpose: To develop a new method for free-breathing 3D extracellular volume (ECV) mapping of the whole heart at 3 T.

Methods: A free-breathing 3D cardiac ECV mapping method was developed at 3 T. T mapping was performed before and after contrast agent injection using a free-breathing electrocardiogram-gated inversion recovery sequence with spoiled gradient echo readout.

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$\textbf{Purpose:}$ To develop a new method for free-breathing 3D extracellular volume (ECV) mapping of the whole heart at 3T. $\textbf{Methods:}$ A free-breathing 3D cardiac ECV mapping method was developed at 3T. T1 mapping was performed before and after contrast agent injection using a free-breathing ECG-gated inversion-recovery sequence with spoiled gradient echo readout.

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Hierarchically porous materials containing sub-nm ultramicropores with molecular sieving abilities and microcavities with high gas diffusivity may realize energy-efficient membranes for gas separations. However, rationally designing and constructing such pores into large-area membranes enabling efficient H separations remains challenging. Here, we report the synthesis and utilization of hybrid carbon molecular sieve membranes with well-controlled nano- and micro-pores and single zinc atoms and clusters well-dispersed inside the nanopores via the carbonization of supramolecular mixed matrix materials containing amorphous and crystalline zeolitic imidazolate frameworks.

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Article Synopsis
  • The study aims to create a quick denoising method for high-dimensional MRI data using self-supervised learning that doesn’t need perfectly clean images.
  • The new deep learning framework leverages redundancies in MRI data to effectively reduce noise, addressing the limitations posed by signal-to-noise ratio (SNR) issues and complex signal models.
  • Results showed significant improvements in denoising performance and quantification accuracy when tested on different MRI datasets, suggesting the MD-S2S technique could enhance various multi-dimensional MRI applications.
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Article Synopsis
  • MRI scan times can be reduced by using fewer sampled k-space lines, utilizing data from multiple receiver coils, with the goal of improving clinical application efficiency.
  • This study introduces a deep-learning method to enhance parallel MRI imaging by using a cycle interpolator network that reconstructs data even with a small number of auto-calibration signals (ACS) in noisy environments.
  • Results indicate that this method effectively reconstructs images with fewer ACS lines, reduces noise, eliminates artifacts, and outperforms traditional methods like GRAPPA, showing promise for improved MRI accuracy.
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  • The paper presents an innovative unsupervised deep learning method for correcting motion artifacts in turbo-spin echo MRI, which typically requires extensive and resource-heavy training data.
  • The method utilizes a framework that combines image parameterization, spatial transformation, and motion simulation to effectively remove motion artifacts from MR images.
  • Results from simulations and real datasets indicate that the proposed approach significantly enhances image quality, outperforming baseline methods in both quantitative and qualitative assessments of motion artifact correction.
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Introduction: This study aimed to investigate whether work pace is a critical indicator for predicting a janitor's risk of work-related musculoskeletal disorders (WMSDs).

Method: Field measurements were obtained from commercial building janitors as well as the determination of work pace. Physiological responses collected were heart rate, energy expenditure (calories), activity level (METs), steps, trunk posture.

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Nanoparticles (NPs) at high loadings are often used in mixed matrix membranes (MMMs) to improve gas separation properties, but they can lead to defects and poor processability that impede membrane fabrication. Herein, it is demonstrated that branched nanorods (NRs) with controlled aspect ratios can significantly reduce the required loading to achieve superior gas separation properties while maintaining excellent processability, as demonstrated by the dispersion of palladium (Pd) NRs in polybenzimidazole for H /CO separation. Increasing the aspect ratio from 1 for NPs to 40 for NRs decreases the percolation threshold volume fraction by a factor of 30, from 0.

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Article Synopsis
  • - A new deep learning technique is introduced for aligning diffusion weighted images (DWIs) and estimating specific imaging parameters related to intravoxel incoherent motion-diffusion kurtosis imaging.
  • - The method operates without labeled data to enhance registration accuracy by reducing dissimilarity between DWIs, while also quantifying diffusion parameters; it was tested on volunteers with varying head movement.
  • - Results indicate that this technique excels in both aligning images and accurately measuring the necessary parameters, outperforming other existing methods in accuracy and performance.
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Workers performing cleaning duties experience higher injury rates, especially in the form of musculoskeletal disorders (MSDs), than other industries. It is essential to understand the inherent risks associated with the nature of this occupation. Based on the Balance Theory (Smith & Carayon-Sainfort, 1989), this review surveys the current literature, especially those published since the previous review paper (Kumar & Kumar, 2008), and identifies which elements contributing to MSD risks were examined: task, technology, organization, environment, individual, and their interactions.

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Janitors' jobs require repetitive work with low control (skill discretion, decision authority) and social support. Previous studies have found this constellation of work conditions leads to high stress levels. This study investigated the relationships among job demand-control-support, burnout, and musculoskeletal symptoms for commercial janitors in Washington State.

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Rapid, yet accurate and sensitive testing has been shown to be critical in the control of spreading pandemic diseases such as COVID-19. Current methods which are highly sensitive and can differentiate different strains are slow and cannot be conveniently applied at the point of care. Rapid tests, meanwhile, require a high titer and are not sufficiently sensitive to discriminate between strains.

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Article Synopsis
  • The study aims to create a framework that improves the measurement of intravoxel incoherent motion (IVIM) parameters by using a deep neural network (DNN) and optimizing the b-values used in diffusion-weighted imaging.
  • A new DNN method is introduced that accurately quantifies IVIM parameters from multiple diffusion-weighted images, while also selecting the best b-values, with testing done through Monte-Carlo simulations to assess accuracy against varying noise levels.
  • The results demonstrate that both b-value optimization and DNN training can be effectively performed together, revealing that the accuracy of certain IVIM parameters is significantly influenced by the chosen b-values and the level of noise present in the images.
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Rapid, sensitive and accurate point-of-care-testing (POCT) of bacterial load from a variety of samples can help prevent human infections caused by pathogenic bacteria and mitigate their spreading. However, there is an unmet demand for a POCT device that can detect extremely low concentrations of bacteria in raw samples. Herein, we introduce the 'count-on-a-cartridge' (COC) platform for quantitation of the food-borne pathogenic bacteria Staphylococcus aureus.

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Stapf (EH) exert toxic effects, such as excitability, cardiac arrhythmia, and others. On the contrary, in traditional herbal medicine, EH and gypsum (GF) are used most often to treat symptoms caused by external stressors. The hypothalamus plays a crucial role in thermal homeostasis.

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A key challenge for realizing mobile device-based on-the-spot environmental biodetection is that a biosensor integrated with a fluid handling sensor cartridge must have acceptable accuracy comparable to that of conventional standard analytical methods. Furthermore, the user interface must be easy to operate, technologically plausible, and concise. Herein, we introduced an advanced smartphone imaging-based fluorescence microscope designed for Hg2+ monitoring by utilizing a biosensor cartridge that reduced user intervention via time-sequenced passive fluid handling.

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Recent studies have shown that Liuwei Dihuang pills (LWPs) can positively affect learning, memory and neurogenesis. However, the underlying molecular mechanisms are not understood. In the present study, we developed ALWPs, a mixture of and LWPs, and investigated whether ALWPs can affect neuroinflammatory responses.

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A critical unmet need in the diagnosis of bacterial infections, which remain a major cause of human morbidity and mortality, is the detection of scarce bacterial pathogens in a variety of samples in a rapid and quantitative manner. Herein, we demonstrate smartphone-based detection of Staphylococcus aureus in a culture-free, rapid, quantitative manner from minimally processed liquid samples using aptamer-functionalized fluorescent magnetic nanoparticles. The tagged S.

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Ethnopharmacological Relevance: Aconiti Lateralis Radix Preparata (AR) is the most frequently used herb to generate heat and treat symptoms associated with coldness in Asia.

Aims Of The Study: The hypothalamus is one of the master regulators to maintain constant core body temperature. Chronic exposure to cold stress disturbs homeostatic regulation, gradually resulting in hypothalamic inflammation.

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Previously, we showed that the herbal extract EYK (Epimedium koreanum Nakai) can regulate the immune response. Other studies showed that EYK has beneficial effects in human lung cancer, angiogenesis and Alzheimer's disease (AD). However, it remains unknown whether EYK can affect cancer cell migration and invasion in human brain cancer cell lines.

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Heat stress conditions lead to neuroinflammation, neuronal death, and memory loss in animals. Coptidis Rhizoma (CR) exhibits potent fever-reducing effects and has been used as an important traditional medicinal herb for treating fever. However, to date, the effects of antipyretic CR on heat-induced brain damages have not been investigated.

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This study investigates the effect of sensor placement on the analysis of trunk posture for construction activities using two off-the-shelf systems. Experiments were performed using a single-parameter monitoring wearable sensor (SPMWS), the ActiGraph GT9X Link, which was worn at six locations on the body, and a multi-parameter monitoring wearable sensor (MPMWS), the Zephyr BioHarness™3, which was worn at two body positions. One healthy male was recruited and conducted 10 experiment sessions to repeat measurements of trunk posture within our study.

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The accuracy of a bioassay based on smartphone-integrated fluorescent biosensors has been limited due to the occurrence of false signals from non-specific reactions as well as a high background and low signal-to-noise ratios for complementary metal oxide semiconductor image sensors. To overcome this problem, we demonstrate dual-wavelength fluorescent detection of biomolecules with high accuracy. Fluorescent intensity can be quantified using dual wavelengths simultaneously, where one decreases and the other increases, as the target analytes bind to the split capture and detection aptamer probes.

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