Publications by authors named "Hee-Dong Kim"

We present a SnO gas sensor with an HfO layer that exhibits enhanced performance and reliability for gasistor applications, combining a gas sensor and a memristor. The transparent SnO gasistor with a 30 nm HfO layer demonstrated low forming voltages (7.1 V) and a high response rate of 81.

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NO is a toxic gas that can damage the lungs with prolonged exposure and contribute to health conditions, such as asthma in children. Detecting NO is therefore crucial for maintaining a healthy environment. Carbon nanotubes (CNTs) are promising materials for NO gas sensors due to their excellent electronic properties and high adsorption energy for NO molecules.

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Article Synopsis
  • - The paper discusses the optimization of IGZO/Ag/IGZO (IAI) multilayer films using post-rapid thermal annealing (RTA) to improve their electrical conductivity and optical transmittance for solar cells.
  • - The optimized films achieved an average optical transmittance of 85% in visible light and a low sheet resistance of 6.03 Ω/□ after being annealed at 500 °C for 60 seconds.
  • - Testing with a solar cell simulator revealed a high photo-generated short circuit current density of 40.73 mA/cm, indicating that the IAI multilayer films are effective as transparent electrodes in solar cell applications.
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We present a transparent memristor with a rough-surface (RS) bottom electrode (BE) with enhanced performance and reliability for a gasistor, which is a gas sensor plus a memristor, and its application in this paper. The transparent memristor, with an RS BE, exhibited low forming voltages (0.8 V) and a stable resistive switching behavior, with high endurance and an on/off ratio of about 125.

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Early identification of women at high risk for cardiovascular diseases (CVD), with subsequent monitoring, will allow for improved clinical outcomes and generally better quality of life. This study aimed to identify the associations between early menopause, abnormal diastolic function, and clinical outcomes. This retrospective study included 795 menopausal women from is a nationwide, multicenter, registry of patients with suspected angina visiting outpatient clinic.

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Low-power-consumption gas sensors are crucial for diverse applications, including environmental monitoring and portable Internet of Things (IoT) systems. However, the desorption and adsorption characteristics of conventional metal oxide-based gas sensors require supplementary equipment, such as heaters, which is not optimal for low-power IoT monitoring systems. Memristor-based sensors (gasistors) have been investigated as innovative gas sensors owing to their advantages, including high response, low power consumption, and room-temperature (RT) operation.

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Aims: This study evaluated the sex differences of sequential changes in coronary blood flows and microvascular function in patients with suspected angina but with no obstructed coronary arteries.

Methods: A total of 202 consecutive patients who experienced chest pain but had no significant coronary artery stenosis and who underwent adenosine stress echocardiography were included in the study. Coronary blood flow (CBF) velocities were measured at 1, 2, and 3 min after adenosine infusion.

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Most commercial drones utilize a traditional proportional-integral-derivative (PID) controller because of its design simplicity. However, the traditional PID controller has certain limitations in terms of optimality and robustness; it is difficult to actively adjust the PID gains under some disturbances. In this study, we demonstrated an analog-digital hybrid computing platform based on double-gate SnS memtransistors to implement a self-tuning/energy-efficient PID controller in drones.

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In aerospace applications, SiO deposition on perovskite solar cells makes them more stable. However, the reflectance of the light changes and the current density decreases can lower the efficiency of the solar cell. The thickness of the perovskite material, ETL, and HTL must be re-optimized, and testing the number of cases experimentally takes a long time and costs a lot of money.

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BN-based resistive random-access memory (RRAM) has emerged as a potential candidate for non-volatile memory (NVM) in aerospace applications, offering high thermal conductivity, excellent mechanical, and chemical stability, low power consumption, high density, and reliability. However, the presence of defects and trap states in BN-based RRAM can limit its performance and reliability in aerospace applications. As a result, higher set voltages of 1.

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Antireflection coatings (ARCs) with an indium thin oxide (ITO) layer on silicon heterojunction solar cells (SHJ) have garnered significant attention, which is due to their potential for increasing current density (J) and enhancing reliability. We propose an additional tungsten trioxide (WO) layer on the ITO/Si structure in this paper in order to raise the J and demonstrate the influence on the SHJ solar cell. First, we simulate the J characteristics for the proposed WO/ITO/Si structure in order to analyze J depending on the thickness of WO using an OPAL 2 simulator.

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Memristor-based gas sensors (gasistors) have been considered as the most promising candidate for detecting NO gas suitable for neural network (NN) analysis. In this work, in order to solve an overfitting issue arising from the training data when using a single gasistor, which degrades the accuracy of NN, we here propose a metal-insulator-silicon (MIS)-structured ZrN-based gasistor array that results in an improvement in both the accuracy of the NN analysis and the efficiency of the operating power. As a result, the proposed gasistor array showed a decrease of epoch and a 2.

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The COVID-19 pandemic has transformed undergraduate education into non-face-to-face classes, and a novel methodology is required to aid students in career preparation behavior (CPB). This study aimed to assess the effects of self-rated abilities for health practices (SRAHP) as a psychological attribute and health-promoting lifestyle profile (HPLP) as a behavioral attribute in the dynamics between positive psychological capital (PPC) and CPB among undergraduate students taking non-face-to-face classes. A cross-sectional study was conducted involving 639 undergraduate students taking non-face-to-face classes; data were obtained via online survey in January 2022.

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Background And Objectives: Left atrial (LA) fibrosis is an important component of the arrhythmogenic substrate and is related to LA dysfunction in patients with atrial fibrillation (AF). However, its relationship with functional changes and the risk of thrombus in patients with paroxysmal AF (PAF) and persistent AF (PeAF) remains unclear.

Methods: We included 139 patients with preprocedural cardiac magnetic resonance imaging (CMR) and transesophageal echocardiography (TEE) for the first AF catheter ablation.

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Background: Impaired atrial functional reserve during exercise may represent an early stage of atrial cardiomyopathy. To test this hypothesis, the authors evaluated left atrial (LA) and left ventricular (LV) function reserve during exercise in patients with paroxysmal atrial fibrillation (PAF).

Methods: Sixty-one patients with PAF undergoing radiofrequency catheter ablation and 38 healthy control subjects were prospectively enrolled.

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Aims: Chemotherapy-induced cardiotoxicity (CIC) is a significant complication, meanwhile myocardial damage might differ depending on chemotherapy agents and their timing. The aim of this study was to evaluate serial changes of layer-specific myocardial function in patients with breast cancer and their differences by the development time of CIC and chemotherapy agent.

Methods And Results: A total of 105 consecutive patients with breast cancer (age: 52.

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Oxygen (O) sensing in trace amounts and mixed gas is essential in many types of industries. Semiconductor sensors have proven to be invaluable tools for the O measurements in a wide concentration range, but the sensors are only able to quantify O in a concentration range of subppm, thus far, especially in mixed gas. We present in this paper a new concept for O sensing with incomparable sensitivity using IGZO-films with oxygen vacancy-based conducting filaments (CFs).

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Algorithms for intelligent drone flights based on sensor fusion are usually implemented using conventional digital computing platforms. However, alternative energy-efficient computing platforms are required for robust flight control in a variety of environments to reduce the burden on both the battery and computing power. In this study, we demonstrated an analog-digital hybrid computing platform based on SnS memtransistors for low-power sensor fusion in drones.

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Purpose: LDL-lowering therapy is beneficial to reduce the risk of cardiovascular disease (CVD). Higher statin doses lower LDL-C levels and prevent CVD; however, they increase adverse events, such as muscle-related adverse events and new-onset diabetes mellitus (DM). Ezetimibe combined with statin therapy improves LDL-C-lowering levels and tolerability in patients with established CVD.

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Fast recovery, high sensitivity, high selectivity, and room temperature (RT) sensing characteristics of NO gas sensors are essential for environmental monitoring, artificial intelligence, and inflammatory diagnosis of asthma patients. However, the conventional semiconductor-type gas sensors have poor sensing characteristics that need to be solved, such as slow recovery speeds (>360 s), low sensitivity (3.8), and high operating temperatures (>300 °C).

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Background: Metabolic syndrome (MetS) is closely associated with the aging process. However, changes in metabolic conditions and cardiac function that occur in middle aged population remain unclear. We evaluated longitudinal changes in metabolic parameters and cardiac function during a 3-year period in subjects with suspected MetS.

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Identification of obstructive coronary artery disease (OCAD) in patients with chest pain is a clinical challenge. The value of corrected QT interval (QTc) for the prediction of OCAD has yet to be established. We consecutively enrolled 1741 patients with suspected angina.

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Article Synopsis
  • Patients with atrial fibrillation (AF) undergoing drug-eluting stent (DES) implantation usually require complex antithrombotic regimens which can increase the risk of bleeding.
  • This study evaluated the effectiveness of left atrial appendage occlusion (LAAO) combined with dual antiplatelet therapy (DAPT) versus the traditional multiple antithrombotic therapy (MAT) in improving clinical outcomes for these patients.
  • Results showed that the LAAO group had significantly lower rates of net adverse clinical events compared to the MAT group, primarily due to a decrease in major bleeding incidents.*
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Background And Objectives: The evaluation of left ventricular (LV) diastolic function in patients with atrial fibrillation (AF) is challenging. This study aimed to investigate the efficacy of the diagnostic algorithm for LV diastolic dysfunction (LVDD) in the current guidelines and to evaluate the association between increased left atrial pressure (LAP) and LV diastolic parameters.

Methods: One hundred and twenty-four patients with non-valvular AF and a preserved LV ejection fraction who had the same rhythm status on echocardiography and LAP measurements during catheter ablation were included.

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Brain-inspired neuromorphic computing has the potential to overcome the inherent inefficiency of the conventional von Neumann architecture by using the massively parallel processing power of artificial neural networks. Neuromorphic parallel processing can be implemented naturally using the crossbar geometry of synaptic device arrays with Ohm's and Kirchhoff's laws. However, selective and parallel weight updates of the synaptic crossbar array are still very challenging due to the unavoidable crosstalk between adjacent devices and sneak path currents.

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