Hyungbin Park

Alternative splicing (AS) is a procedure during gene expression that allows the production of multiple mRNAs from a single gene, leading to a larger number of proteins with various functions. The alternative splicing (AS) of Fas (Apo-1/CD95) pre-mRNA can generate membrane-bound or soluble isoforms with pro-apoptotic and anti-apoptotic functions. SRSF6, a member of the Serine/Arginine-rich protein family, plays essential roles in both constitutive and alternative splicing. Here, we identified SRS

Rare metals (RMs) are becoming increasingly important in high-tech industries associated with the Fourth Industrial Revolution, such as the electric vehicle (EV) and 3D printer industries. As the growth of these industries accelerates in the near future, manufacturers will also face greater RM supply risks. For this reason, many countries are putting considerable effort into securing the RM supply. For example, countries including Japan, Korea, and the USA have adopted two major policies: the st

In this paper, a mathematical formulation is developed to solve an electric vehicle routing problem with heterogeneous vehicles and partial charge to minimize the total distance traveled by the vehicles. The proposed model considers different characteristics of vehicles such as load capacities, battery capacities, energy consumption rates, and charging speeds. In addition, when each vehicle visits the charging station to recharge its battery due to the limitations in the battery capacity, we imp

As the greenhouse gas emission regulations have strengthened, establishing a sustainable transportation system has become more essential. Thus, studies on the transportation system using electric vehicles have received more research attention. However, operation using electric vehicles has obstacles such as technical limitations of vehicle batteries and insufficient number of charging stations, which can be much affected by the traffic flow changes. Therefore, we propose a robust electric vehicl

With the rise in computation-intensive and delay-sensitive applications, the limited resource of the user device has become a significant challenge. Mobile Edge Computing(MEC) has emerged as a paradigm to compensate for the resource shortage. When offloading application’s tasks to the Mobile Edge Network(MEN) of the MEC with consideration of task dependency and resource usage, the offloading process also requires consideration of user device’s mobility. However, most existing research that consi

This paper studies the long-term growth rate of expected utility or expected return from holding a leveraged exchanged-traded fund (LETF), which is a constant proportion portfolio of the reference asset. We develop a martingale extraction approach to tackle the path-dependence in the expectation and determine the long-term growth rate through the eigenpair associated with the infinitesimal generator of a time-homogeneous Markovian diffusion. The long-term growth rates are derived explicitly unde

Lateral flow immunoassays (LFIAs) are widely used point-of-care (POC) diagnostic tools, but their limited sensitivity can hinder reliable diagnoses. To address this limitation, we developed a novel POC diagnostic platform for the highly sensitive detection of influenza A virus (IAV). This developed platform integrates platinum nanoparticle–catalyzed 3,3′,5,5′-tetramethylbenzidine (TMB) oxidation for reagent-free, single-step signal amplification with smartphone-based image acquisition and quanti

This paper proposes modified mean-variance risk measures for long-term investment portfolios. Two types of portfolios are considered: constant proportion portfolios and increasing amount portfolios. They are widely used in finance for investing assets and developing derivative securities. We compare the long-term behavior of a conventional mean-variance risk measure and a modified one of the two types of portfolios, and we discuss the benefits of the modified measure. Subsequently, an optimal lo

This study investigates the influence of risk tolerance on the expected utility in the long run. We estimate the extent to which the expected utility of optimal portfolios is affected by small changes in the risk tolerance. For this purpose, we adopt the Malliavin calculus method and the Hansen–Scheinkman decomposition, through which the expected utility is expressed in terms of the eigenvalues and eigenfunctions of an operator. We conclude that the influence of risk aversion on the expected uti

This paper investigates the large-time asymptotic behavior of the\nsensitivities of cash flows. In quantitative finance, the price of a cash flow\nis expressed in terms of a pricing operator of a Markov diffusion process. We\nstudy the extent to which the pricing operator is affected by small changes of\nthe underlying Markov diffusion. The main idea is a partial differential\nequation (PDE) representation of the pricing operator by incorporating the\nHansen--Scheinkman decomposition method. The

This paper investigates dynamic and static fund separations and their stability for long-term optimal investments under three model classes. An investor maximizes the expected utility with constant relative risk aversion under an incomplete market consisting of a safe asset, several risky assets, and a single state variable. The state variables in two of the model classes follow a 3/2 process and an inverse Bessel process, respectively. The other market model has the partially observed state var

One-pot CRISPR-based diagnostics have transformed nucleic acid testing, yet their design customizability remains constrained. Because target programming and cis-cleavage activity are simultaneously determined during CRISPR RNA (crRNA) design, optimizing cleavage activity to match isothermal amplification inevitably requires altering the programmed crRNA sequence. This requirement fundamentally constrains the range of compatible target sequences, imposing limitations on the flexible design of dia