Influencing Factors of Subjective Cognitive Impairment in Middle-Aged and Older Adults.

The purpose of this study was to identify the factors affecting subjective cognitive impairment. We analyzed data from the 2019 Korea Community Health Survey and enrolled 68,546 middle-aged adults, aged 50 to 64 years, and 74,547 older adults, aged 65 years and older, in this study. Multiple logistic regression analysis was performed to identify factors influencing subjective cognitive impairment.

The Korean version of the Virtual Patient Learning System Evaluation Tool: Assessment of reliability and validity.

Background: Due to the recent spread of coronavirus disease 2019, Korean nursing colleges are increasingly using virtual patient simulation to make up for a lack of available clinical practice in medical institutions. Therefore, an instrument is required to evaluate the effects of the virtual patient learning system in South Korea.

Objective: To assess the validity and reliability of the Korean version of the Virtual Patient Learning System Evaluation Tool (K-VPLSET).

Identification of Vaccinia-H1 Related Phosphatase as an Anticancer Target for 1,2,3,4,6-O-Pentagalloylglucose.

Protein tyrosine phosphatases are involved in diverse human diseases, including cancer, diabetes and inflammatory disorders. Loss of Vaccinia-H1 related phosphatase (VHR) has been shown to arrest at the G1-S and G2-M transitions of the cell cycle, and to increases cell death of prostate cancer cells through JNK activation, suggesting that VHR can be considered as an anticancer target. In this study, 658 natural products were screened through in vitro enzyme assay to identify VHR inhibitor.

The seasonality of diarrheal pathogens: A retrospective study of seven sites over three years.

Background: Pediatric diarrhea can be caused by a wide variety of pathogens, from bacteria to viruses to protozoa. Pathogen prevalence is often described as seasonal, peaking annually and associated with specific weather conditions. Although many studies have described the seasonality of diarrheal disease, these studies have occurred predominantly in temperate regions.

Data-Driven Method for Efficient Characterization of Rare Event Probabilities in Biochemical Systems.

As mathematical models and computational tools become more sophisticated and powerful to accurately depict system dynamics, numerical methods that were previously considered computationally impractical started being utilized for large-scale simulations. Methods that characterize a rare event in biochemical systems are part of such phenomenon, as many of them are computationally expensive and require high-performance computing. In this paper, we introduce an enhanced version of the doubly weighted stochastic simulation algorithm (dwSSA) (Daigle et al.

SParSE++: improved event-based stochastic parameter search.

Background: Despite the increasing availability of high performance computing capabilities, analysis and characterization of stochastic biochemical systems remain a computational challenge. To address this challenge, the Stochastic Parameter Search for Events (SParSE) was developed to automatically identify reaction rates that yield a probabilistic user-specified event. SParSE consists of three main components: the multi-level cross-entropy method, which identifies biasing parameters to push the system toward the event of interest, the related inverse biasing method, and an optional interpolation of identified parameters.

Multiple Human Papillomavirus Infection Is Associated with High-Risk Infection in Male Genital Warts in Ulsan, Korea.

Further understanding of male human papillomavirus (HPV) infection is necessary to prevent infection in men, as well as transmission to women. In our current study, we investigated patterns of HPV infection and genotype distributions in male genital warts using the Anyplex II HPV28 Detection kit. We reviewed the medical records of 80 male patients who presented to 5 neighborhood clinics in Ulsan, Korea, for the treatment of genital warts between April 2014 and January 2015.

Gastric Syphilis and Membranous Glomerulonephritis.

Syphilis is a chronic systemic infectious disease caused by the bacterium Treponema pallidum. Gastric involvement and nephrotic syndrome are uncommon but well documented complications of syphilis, but the co-occurrence of these two complications in the same patient is extremely rare. Thus, because of their nonspecific presentation, suspicion of gastric syphilis (GS) and nephrotic syndrome is essential for diagnosis.

Stochastic parameter search for events.

Background: With recent increase in affordability and accessibility of high-performance computing (HPC), the use of large stochastic models has become increasingly popular for its ability to accurately mimic the behavior of the represented biochemical system. One important application of such models is to predict parameter configurations that yield an event of scientific significance. Due to the high computational requirements of Monte Carlo simulations and dimensionality of parameter space, brute force search is computationally infeasible for most large models.

Changes in the seroprevalence of IgG anti-hepatitis A virus between 2001 and 2013: experience at a single center in Korea.

Background/aims: The incidence of symptomatic hepatitis A reportedly increased among 20- to 40-year-old Korean during the late 2000s. Vaccination against hepatitis A was commenced in the late 1990s and was extended to children aged <10 years. In the present study we analyzed the changes in the seroprevalence of IgG anti-hepatitis A virus (HAV) over the past 13 years.

Accelerated maximum likelihood parameter estimation for stochastic biochemical systems.

Background: A prerequisite for the mechanistic simulation of a biochemical system is detailed knowledge of its kinetic parameters. Despite recent experimental advances, the estimation of unknown parameter values from observed data is still a bottleneck for obtaining accurate simulation results. Many methods exist for parameter estimation in deterministic biochemical systems; methods for discrete stochastic systems are less well developed.

State-dependent doubly weighted stochastic simulation algorithm for automatic characterization of stochastic biochemical rare events.

In recent years there has been substantial growth in the development of algorithms for characterizing rare events in stochastic biochemical systems. Two such algorithms, the state-dependent weighted stochastic simulation algorithm (swSSA) and the doubly weighted SSA (dwSSA) are extensions of the weighted SSA (wSSA) by H. Kuwahara and I.

StochKit2: software for discrete stochastic simulation of biochemical systems with events.

Summary: StochKit2 is the first major upgrade of the popular StochKit stochastic simulation software package. StochKit2 provides highly efficient implementations of several variants of Gillespie's stochastic simulation algorithm (SSA), and tau-leaping with automatic step size selection. StochKit2 features include automatic selection of the optimal SSA method based on model properties, event handling, and automatic parallelism on multicore architectures.

Automated estimation of rare event probabilities in biochemical systems.

In biochemical systems, the occurrence of a rare event can be accompanied by catastrophic consequences. Precise characterization of these events using Monte Carlo simulation methods is often intractable, as the number of realizations needed to witness even a single rare event can be very large. The weighted stochastic simulation algorithm (wSSA) [J.

State-dependent biasing method for importance sampling in the weighted stochastic simulation algorithm.

The weighted stochastic simulation algorithm (wSSA) was developed by Kuwahara and Mura [J. Chem. Phys.

Refining the weighted stochastic simulation algorithm.

The weighted stochastic simulation algorithm (wSSA) recently introduced by Kuwahara and Mura [J. Chem. Phys.

Selective COX-2 inhibitor, NS-398, inhibits the replicative senescence of cultured dermal fibroblasts.

Cyclooxygenase 2 (COX-2) is known to be increased in aged cells. Recent studies suggest that the increased expression of COX-2 may be involved in the pathogenesis of age-associated diseases such as rheumatoid arthritis and cancer. We investigated the role of COX-2 in cell cycle arrest and collagen deficiency during the aging process.