A5027559818- Gas Sensing Nanomaterials and Sensors
- Supercapacitor Materials and Fabrication
- Transition Metal Oxide Nanomaterials
- Advanced Neural Network Applications
- Proteins in Food Systems
- Renal cell carcinoma treatment
- Advanced X-ray and CT Imaging
- Advanced Sensor and Energy Harvesting Materials
- Covalent Organic Framework Applications
- MRI in cancer diagnosis
- Diverse Approaches in Healthcare and Education Studies
- Graphene research and applications
- Conducting polymers and applications
- Protein Hydrolysis and Bioactive Peptides
- Dielectric materials and actuators
Korea Research Institute of Chemical Technology
2020-2023
Convergence
2023
Seoul Women's University
2023
Chungnam National University
2020
Sejong University
2014
Laser-induced graphene (LIG) typically exhibits a mesostructure with small specific surface area, which is detrimental to the electrochemical performance of micro-supercapacitors (MSCs). Herein, 3D nanostructured LIGs patterned on fluorinated polyimides (fPIs) via laser photothermal method are reported. During laser-induced graphitization, highly microporous structure in LIG develops. Consequently, (LIG-fPI) very large area (1126.0 m2 g–1), thereby enhancing its performance. Specifically, an...
Graphene holds great promise in optoelectronics because of its high broadband light absorption across a wide range wavelengths. Despite low optical absorption, various techniques have been devised to address this challenge. This study presents new highly sensitive, photodetector based on three-dimensional (3D) porous graphene derived from fluorinated polyimide (fPI-3DPG). material is produced via laser photothermal process and features micro- nanopore structures that increase the absorbing...
Hybrid materials comprising graphene and palladium nanoparticles (PdNPs) are desirable for high-performance hydrogen detection because of the high specific surface area, electron mobility, flexibility electrochemical responsivity reversibility PdNPs. However, obtaining hybrid is energy-intensive time-consuming. Here, a facile rapid laser photothermochemical single-step processing method to synchronously produce nanoassembly three-dimensional porous PdNPs from polymer films reported. Polymers...
This study was carried out to optimize cholesterol removal in whole egg using crosslinked β-cyclodextrin (β-CD) and recycle the β-CD. Various factors for optimizing conditions were concentration of β-CD, mixing temperature, time, speed centrifugal speed. In result this study, optimum 25% 40°C 30 min 1,200 rpm 2,810×g The recycling repeated five times. 92.76% when treated with conditions. After determining conditions, recyclable yields β-CD ranged from 86.66% 87.60% percentage over 80% until...
본 연구에서는 전극 활물질로서 그래핀-바나듐 산화물 복합체를 pH 1.8 조건에서 0.5M <TEX>$VOSO_4$</TEX> 수용액을 이용하여 전기화학적 전착을 이용해 합성하였다. 전착공정 후 다공성 바나듐 산화물이 작업전극에 생성된 것을 SEM, XRD, XPS를 통해 확인하였으며 산화물은 <TEX>$V^{5+}$</TEX>와 <TEX>$V^{4+}$</TEX>로 존재한다. 그래핀에 전착된 산화물의 직경 약 100 nm의 나노로드로 이루어진 망상 구조는 전극과 전해질과의 접촉을 향상시킨다. 4000 초의 전착공정을 거친 작업전극으로 하여 3전극 셀에서 특성을 평가한 결과 20 mV/s의 주사속도에서 <TEX>$854mF/cm^2$</TEX>의 높은 정전용량을 나타내었고 1000회 충방전 초기 용량의 53%가 유지되었다. The nanostructural graphene/vanadium oxide (graphene/<TEX>$V_2O_5$</TEX>) composite...
Graphene holds great promise in optoelectronics because of its high broadband light absorption across a wide range wavelengths. Despite low optical absorption, various techniques have been devised to address this challenge. This study presents new highly sensitive, photodetector based on three-dimensional (3D) porous graphene derived from fluorinated polyimide (fPI-3DPG). material is produced via laser photothermal process and features micro- nanopore structures that increase the absorbing...
Segmentation of the renal parenchyma responsible for a function is necessary surgical planning and decisionmaking partial nephrectomy (RPN) by identifying correlation between volume after RPN on abdominal magnetic resonance (MR) images without radiation exposure. This paper proposes cascaded self-adaptive framework that uses local context-aware mix-up regularization MR acquired from multiple devices. The proposed segmentation network consists two stages: kidney bounding extraction...
연구 목적: 본 연구는 키워드 네트워크를 활용해 국내 학술지의 진로 장벽 관련 동향을 분석함으로써 변화되는 요소와 연구의 방향성을 모색해보고자 하였다.연구 방법: 지금까지 발행된 연구물 총 339편의 논문에서 네트워크 분석을 통해 이를 시각화하고 구조적 특성을 파악하기 위해 주요 노드의 중심성을 제시하였다.연구 내용: 진로장벽 상위 중심성 및 4가지 군집 형성을 분석하였다.결론 제언: 연구결과 키워드로는 장벽, 대학, 영향, 진로준비 행동, 자기효능감 등의 순으로 나타났으며, 포괄키워드를 중심으로 영향 군집, 대상 변인 연구방법 군집으로 4개의 분류되는 것으로 나타났다. 사회에 맞추어 변화를 비교·분석하여 또 다른 변화된 요인과 극복할 교육 프로그램 개발의 필요성을 시사한다.
Accurate segmentation of the kidney tumor is necessary to identify shape, location and safety margin in abdominal CT images for surgical planning before renal partial nephrectomy. However, challenging task due various sizes locations each patient signal intensity similarity surrounding organs such as intestine spleen. In this paper, we propose a semi-supervised learning-based mean teacher network that utilizes both labeled unlabeled data using local guided map including information segment...