A5102725448- ATP Synthase and ATPases Research
- Sinusitis and nasal conditions
- Wound Healing and Treatments
- Galectins and Cancer Biology
- Glycosylation and Glycoproteins Research
- Infant Development and Preterm Care
- Forecasting Techniques and Applications
- Quantum many-body systems
- Cell Image Analysis Techniques
- Generative Adversarial Networks and Image Synthesis
- Magnetic Properties and Applications
- Carbohydrate Chemistry and Synthesis
- Acupuncture Treatment Research Studies
- Respiratory viral infections research
- Decision-Making and Behavioral Economics
- Chemokine receptors and signaling
- Autism Spectrum Disorder Research
- Technology and Data Analysis
- Innovation in Digital Healthcare Systems
- Cell Adhesion Molecules Research
- NF-κB Signaling Pathways
- Hedgehog Signaling Pathway Studies
- Hematopoietic Stem Cell Transplantation
- Model Reduction and Neural Networks
- Religious Studies and Spiritual Practices
Korea University
2023-2025
Children's Hospital at Westmead
2024
The University of Sydney
2024
Seoul National University
2017-2023
Kyung Hee University
2018-2023
Creative Research
2023
Kyonggi University
2021
California State University, Channel Islands
2009
Nasal polyps and inverted papillomas often look similar. Clinically, it is difficult to distinguish the masses by endoscopic examination. Therefore, in this study, we aimed develop a deep learning algorithm for computer-aided diagnosis of nasal images, which may provide more accurate clinical before pathologic confirmation masses.
To meet the high demand for polymerase chain reaction (PCR) tests to diagnose COVID-19 and rapidly control outbreak, an efficient safe molecular diagnostic protocol is necessary. In this study, we evaluated efficacy safety of medical robot developed non-face-to-face nasopharyngeal swab specimen collection. a nonclinical otorhinolaryngologist collected specimens manually using robot. single-institution, randomized, open-label, prospective, exploratory clinical trial, were from enrolled...
Backgrounds and objectives: Cardio-Ankle Vascular Index (CAVI) is one of the indicators used for cardiovascular indexes, which are not affected by blood pressure so that it can independently measure risk. Herbal medicines including Geopungdan Chunghyuldan already known as preventive effect vascular diseases stroke arteriosclerosis. In this study, cases in patients were measured CAVI before after taking these herbal retrospectively collected.Methods: This a 13-patient case series from...
Abstract Chemokine CCL4 (MIP-1β) is released from osteoblast cells to restore the homeostasis of hematopoietic stem during activation bone marrow. In this study, we investigated function and its receptor CCR5 osteoclastogenesis. promoted migration viability preosteoclast cells. However, had no direct effect on activator nuclear factor-κB ligand (RANKL)-induced osteoclast differentiation in mouse addition, expression was rapidly reduced by RANKL treatment, which recovered IFN-γ downregulation...
Abstract The objective of this review was to evaluate attention and executive function performance in children with neurodevelopmental conditions across the first 5 years life, compared neurotypical peers. MEDLINE, EMBASE, PsycINFO databases were searched until June 30, 2023, studies comparing or between (or at risk for) low risk) peers, 0 old, included. Of 4338 identified, 111 12292 participants included meta-analysis. qualitative analysis brain development studies. Primary outcomes...
Abstract Background Delays in early social and executive function are predictive of later developmental delays eventual neurodevelopmental diagnoses. There is limited research examining such markers the first year life. High-risk infant groups commonly present with a range challenges, including delays, show higher rates autism diagnoses For example, it has been estimated that up to 30% infants diagnosed cerebral palsy (CP) will go on be Methods This article presents protocol prospective...
Cancer secretome is a reservoir for aberrant glycosylation. How therapies alter this post- translational cancer hallmark and the consequences thereof remain elusive. Here, we show that an elevated fucosylation pan-cancer signature of both response resistance to multiple targeted therapies. Large-scale pharmacogenomics revealed genes display widespread association with these In cell cultures, xenograft mouse models, patients, kinase inhibitors distinctively induced core secreted proteins less...
Grammatical Error Correction (GEC) is the task of detecting and correcting various grammatical errors in texts. Many previous approaches to GEC have used mechanisms including rules, statistics, their combinations. Recently, performance English has been drastically enhanced due vigorous applications deep neural networks pretrained language models. Following promising results tasks, we apply Transformer with Copying Mechanism into Korean by introducing novel effective noising methods for...
We propose a strategy for optimizing physical quantities based on exploring in the latent space of variational autoencoder (VAE). train VAE model using various spin configurations formed two-dimensional chiral magnetic system. Three optimization algorithms are used to explore trained VAE. The first algorithm, single-code modification is designed improving local energetic stability generate physically plausible states. other two algorithms, genetic algorithm and stochastic aim optimize global...
Late endothelial progenitor cells (LEPCs) are derived from mononuclear (MNCs) and thought to directly incorporate into blood vessels differentiate mature (ECs). Using transcriptome proteome analysis, we identified distinctive LEPC profiles found that Hedgehog-interacting protein (HIP) is strongly expressed in LEPCs. Inhibition of HIP by lentiviral knockdown activated canonical hedgehog signaling LEPCs, while it non-canonical ECs. In induced much enhanced tube formation resistance apoptosis...
Circulating late endothelial progenitor cells (LEPCs) home to injured vessels, initiating blood vessel regeneration. This process requires the initial adhesion of LEPCs within wounded site. In this study, treating with IFN-γ enhanced wound healing through BST2-mediated cells. We found that significantly upregulated BST2 expression in both and ECs increased tube formation LEPCs. Upregulated LEPC a tight homophilic interaction its extracellular domain. Finally, when IFN-γ-treated were injected...
Journal Article Maria of the Oak: Society and Problem Divine Intervention Get access Daniel B. Lee California State University, Channel Islands E-mail: daniel.lee@csuci.edu Search for other works by this author on: Oxford Academic Google Scholar Sociology Religion, Volume 70, Issue 3, FALL 2009, Pages 213–231, https://doi.org/10.1093/socrel/srp037 Published: 01 October 2009
Abstract Searching for the ground state of a given system is one most fundamental and classical questions in scientific research fields. However, when complex large, it often becomes an intractable problem; there essentially no possibility finding global energy minimum with reasonable computational resources. Recently, novel method based on deep learning techniques was devised as innovative optimization to estimate state. We apply this complicated spin-ice systems, aperiodic Penrose P3...
본 연구는 디지털 전환관 경제안보 관점에서 한국형 소버린 클라우드의 필요성과 도입 방향을 제시하였다. 국가핵심기술을 보유한 기업들이 민감한 데이터를 안전하게 관리하고 법적 요구를 충족하는 클라우드 서비스를 활용해야 하는 환경에서, 해외 구축 사례를 분석하여 정책적 시사점을 도출하였다. 구축의 필요성으로 데이터 주권 확보, 민관 협력을 통한 생태계 조성, 산업별 맞춤형 보안 솔루션 등이 강조되었다. 또한, 전문가 인터뷰를 통해 보장과 강화를 위한 장단점을 분석하였으며, 한국이 경제안보를 강화하고 글로벌 경쟁력을 유지하기 법적․제도적 지원 필요성을 제언하였다. 도입이 국가핵심기술 보호와 확보를 중요한 정책 과제임을 강조하였다.
Background: Pressure injuries are localized areas of damage to the skin and/or underlying tissue, usually over a bony prominence due pressure. Cerebrovascular disease increases risk pressure immobility caused by physical paralysis. The general approach managing patient with should include pain relief, treatment infection, optimizing nutritional intake, proper positioning, and contamination prevention. Nonetheless, duration for varies from person person.Case report: An 80-year-old female...
We construct a deep neural network to enhance the resolution of spin structure images formed by spontaneous symmetry breaking in magnetic systems. Through network, an image is expanded super-resolution and reduced original size be fitted with input feed image. The does not require ground truth training process. Therefore, it can applied when low-resolution are provided as datasets, while high-resolution obtainable due intrinsic limitation microscope techniques. To show usefulness we train...
Abstract Recently, deep generative models using machine intelligence are widely utilized to investigate scientific systems by generating data. In this study, we experiment with a hybrid model of variational autoencoder (VAE) and adversarial network (GAN) generate variety plausible two-dimensional magnetic topological structure Due the properties in system, numerous diverse metastable structures exist, energy barriers separate them. Thus, spin avoiding those barrier states is challenging...
We examined how individuals behave in making judgmental forecasts when they are given advice different communication formats: (a) face-to-face, and (b) computer-mediated. Participants were asked to make an initial forecast before receiving advice, told a final after advice. the is made by human expert, but one group received face-to-face other through computer. found that computer-mediated treatment discount more than treatment. also this discounting serially mediated perceived difficulty...
Abstract Cancer secretome is a reservoir for aberrant glycosylation. How therapies alter this post-translational cancer hallmark and the consequences thereof remain elusive. Here we show that an elevated fucosylation pan-cancer signature of both response resistance to multiple targeted therapies. Large-scale pharmacogenomics revealed genes display widespread association with these In cell cultures patients, kinase inhibitors distinctively induced core secreted proteins less than 60 kDa....