583 research outputs found
Sunghwan Kim, collaborative piano, Monday, November 16, 2015
No full textIn partial fulfillment of the requirements for the degree of
Master of Musi
Minhee Bae, violin, Hyemi Kim, cello, Moonki Cho, piano, Wednesday, May 30, 2012
No full textIn partial fulfillment of the requirements for the degree of
Artist DiplomaIn partial fulfillment of the requirements for the degree of
Doctor of Musical Art
sj-docx-2-dhj-10.1177_20552076241249277 - Supplemental material for A mobile app to predict and manage behavioral and psychological symptoms of dementia: Development, usability, and users’ acceptability
No full textSupplemental material, sj-docx-2-dhj-10.1177_20552076241249277 for A mobile app to predict and manage behavioral and psychological symptoms of dementia: Development, usability, and users’ acceptability by Eunhee Cho, Minhee Yang, Jiyoon Jang, Jungwon Cho, Bada Kang, Yoonhyung Jang and Min Jung Kim in DIGITAL HEALTH</p
sj-docx-1-dhj-10.1177_20552076241249277 - Supplemental material for A mobile app to predict and manage behavioral and psychological symptoms of dementia: Development, usability, and users’ acceptability
No full textSupplemental material, sj-docx-1-dhj-10.1177_20552076241249277 for A mobile app to predict and manage behavioral and psychological symptoms of dementia: Development, usability, and users’ acceptability by Eunhee Cho, Minhee Yang, Jiyoon Jang, Jungwon Cho, Bada Kang, Yoonhyung Jang and Min Jung Kim in DIGITAL HEALTH</p
Minhee Analysis Package: an integrated software package for detection and management of spontaneous synaptic events
No full textTo understand the information encoded in a connection between the neurons, postsynaptic current (PSC) has been widely measured as a primary index of synaptic strength in the field of neurophysiology. Although several automatic detection methods for PSCs have been proposed to simplify a workflow in the analysis, repetitive steps such as quantification and management of PSC data should be still performed with much effort. Here, we present Minhee Analysis Package, an integrated standalone software package that is capable of detecting, sorting, and quantifying PSC data. First, we developed a stepwise exploratory algorithm to detect PSC and validated our detection algorithm using the simulated and experimental data. We also described all the features and examples of the package so that users can use and follow them properly. In conclusion, our software package is expected to improve the convenience and efficiency of neurophysiologists to analyze PSC data by simplifying the workflow from detection to quantification. Minhee Analysis Package is freely available to download from
http://www.github.com/parkgilbong/Minhee_Analysis_Pack
.This research was supported by the National Research Foundation of Korea Grants funded by the Korea government to SJK (NRF-2018R1A5A2025964, and NRF-2017M3C7A1029611)
Jaesung Kim, piano, Wednesday, April 16, 2014
No full textIn partial fulfillment of the requirements for the degree of
Doctor of Musical Art
Smart Microcapsules with Molecular Polarity‐ and Temperature‐Dependent Permeability
No full textMicrocapsules with molecule-selective permeation are appealing as microreactors, capsule-type sensors, drug and cell carriers, and artificial cells. To accomplish molecular size-and charge-selective permeation, regular size of pores and surface charges have been formed in the membranes. However, it remains an important challenge to provide advanced regulation of transmembrane transport. Here, smart microcapsules are designed that provide molecular polarity-and temperature-dependent permeability. With capillary microfluidic devices, water-in-oil-in-water (W/O/W) double-emulsion drops are prepared, which serve as templates to produce microcapsules. The oil shell is composed of two monomers and dodecanol, which turns to a polymeric framework whose continuous voids are filled with dodecanol upon photopolymerization. One of the monomers provides mechanical stability of the framework, whereas the other serves as a compatibilizer between growing polymer and dodecanol, preventing macrophase separation. Above melting point of dodecanol, molecules that are soluble in the molten dodecanol are selectively allowed to diffuse across the shell, where the rate of transmembrane transport is strongly influenced by partition coefficient. The rate is drastically lowered for temperatures below the melting point. This molecular polarity-and temperature-dependent permeability renders the microcapsules potentially useful as drug carriers for triggered release and contamination-free microreactors and microsensors.
Surface-enhanced Raman spectroscopy based ultrafast DNA assays using photothermal PCR chip with plasmonic nanopillar arrays
No full textAn amplification and SERS-based quantification of genetic molecules have been demonstrated for ultrafast DNA assays using photothermal PCR chip with plasmonic nanopillar arrays. Glass nanopillar arrays with gold nanoislands have multiple roles of plasmonic heat generator using photothermal effect as well as SERS substrate using local field enhancement. The photothermal heating by plasmonic nanopillar arrays on LED enables a ultrafast rate of thermal change with highly efficient amplification and the nanogap-rich structure supports a significant increase of SERS peak for conjugation between SYBR green and amplicon with low cycle threshold. This novel method can open up for improved point-of-care molecular diagnosis
From prediction to synthesis: DFT-active learning-guided design of multimetallic catalysts for hydrogen evolution
No full textMultimetallic alloys have garnered significant attention in electrocatalysis due to their enhanced properties, such as superior electrical conductivity, exceptional shock stability, and abundant unique binding sites. Furthermore, substituting noble metals with cost-effective alternatives broadens their potential for scalable production. Despite these advantages, designing multimetallic alloy catalysts remains a formidable challenge due to their huge compositional space, making conventional trial-and-error approaches inefficient and almost impossible. Here, we present an active learning framework with density functional theory (DFT) to identify optimal compositions of multimetallic alloys with high hydrogen evolution reaction (HER) catalytic activity. A Gaussian process regressor (GPR) model serves as the learning agent, predicting adsorption energies at each binding site. Iteratively, the model evaluates prediction uncertainties and prioritizes binding sites for new DFT calculations, thereby maximizing informational gain. Remarkably, out of the full span of 390,625 available binding sites, our method successfully discovered high-performance alloy compositions through only 600 DFT-calculated surfaces. These compositions were experimentally validated using the carbothermal shock method, demonstrating excellent catalytic performance. This work underscores the transformative potential of active learning in catalyst discovery, offering a time-and cost-efficient approach to screening multimetallic alloys. The proposed framework can be extended to a variety of catalytic systems, paving the way for rational design in electrocatalysis.
Directed evolution of CRISPR-Cas9 to increase its specificity
No full textThe use of CRISPR-Cas9 as a therapeutic reagent is hampered by its off-target effects. Although rationally designed S. pyogenes Cas9 (SpCas9) variants that display higher specificities than the wild-type SpCas9 protein are available, these attenuated Cas9 variants are often poorly efficient in human cells. Here, we develop a directed evolution approach in E. coli to obtain Sniper-Cas9, which shows high specificities without killing on-target activities in human cells. Unlike other engineered Cas9 variants, Sniper-Cas9 shows WT-level on-target activities with extended or truncated sgRNAs with further reduced off-target activities and works well in a preassembled ribonucleoprotein (RNP) format to allow DNA-free genome editing. © 2018, The Author(s)11Nsciescopu
- …
