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Biocompatible custom ceria nanoparticles against reactive oxygen species resolve acute inflammatory reaction after intracerebral hemorrhage

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Nano Research 2017年第8期10卷 2743-2760页

作者： dong-Wan Kang Chi Kyung kim Han-Gil Jeong Min Soh Taeho kim In-Young Choi SeuI-Ki Ki do yeon kim Wookjin Yang Taeghwan Hyeon Seung-Hoon Lee Laboratory of Innovative Nanobiotechnology Biomedical Research Institute Seoul National University Hospital Seoul 03080 Republic of Korea Department of Neurology Seoul National University Hospital Seou103080 Republic of Korea Department of Neurology Korea University Guro Hospital and Korea University College of Medicine Seou108308 Republic of Korea Center for Nanoparticle Research Institute for Basic Science (IBS) Seoul 151-742 Republic of Korea School of Chemical and Biological Engineering and Institute of Chemical Processes Seoul National University Seoul 151-742 Republic of Korea

Intracerebral hemorrhage （ICH） is a devastating subtype of stroke with a high mortality rate, for which there currently is no effective treatment. A perihematomal edema caused by an intense inflammatory reaction is more deleterious than the hematoma itself and can result in neurological deterioration and death. Ceria nanoparticles （CeNPs） are potent free radical scavengers with potential for biomedical applications. As oxidative stress plays a major role in post-ICH inflammation, we hypothesized that CeNPs might protect against ICH. To test this hypothesis, core CeNPs were synthesized using a modified reverse micelle method and covered with phospholipid-polyethylene glycol （PEG） to achieve biocompatibility. We investigated whether our custom-made biocompatible CeNPs have protective effects against ICH. The CeNPs reduced oxidative stress, hemin-induced cytotoxicity, and inflammation in vitro. In a rodent ICH model, intravenously administered CeNPs were mainly distributed in the hemorrhagic hemisphere, suggesting that they could diffuse through the damaged blood-brain barrier. Moreover, CeNPs attenuated microglia/macrophage recruitment around the hemorrhagic lesion and inflammatory protein expression. Finally, CeNP treatment reduced the brain edema by 68.4% as compared to the control. These results reveal the great potential of CeNPs as a novel therapeutic agent for patients with ICH.

关键词： ceria nanoparticles intracerebral hemorrhage free radical injury anti-inflammation neuroprotective agents biomedical application

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3D volume extraction of cerebrovascular structure on brain magnetic resonance angiography data sets

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Journal of Biomedical Science and Engineering 2012年第10期5卷 574-579页

作者： do-yeon kim Department of Computer Engineering Sunchon National University Sunchon Republic of Korea

The use of computers in facilitating their processing and analysis has become necessary with the increaseing size and number of medical images. In particular, computer algorithms for the delineation of anatomical structures and other regions of interest, which are called image segmentation, play a vital role in numerous biomedical imaging applications such as the quantification of tissue volumes, diagnosis, localization of pathology, study of anatomical structure, treatment planning, and computer-integrated surgery. In this paper, a 3D volume extraction algorithm was proposed for segmentation of cerebrovascular structure on brain MRA data sets. By using a priori knowledge of cerebrovascular structure, multiple seed voxels were automatically identified on the initially thresholded image. In the consideration of the preserved voxel connectivity—which is defined as 6-connectivity with joint faces, 18-connectivity with joint edges, and 26-connectivity with joint corners— the seed voxels were grown within the cerebrovascular structure area throughout 3D volume extraction process. This algorithm provided better segmentation results than other segmentation methods such as manual, and histogram thresholding approach. This 3D volume extraction algorithm is also applicable to segment the tree-like organ structures such as renal artery, coronary artery, and airway tree from the medical imaging modalities.

关键词： Cerebrovascular Structure Medical Image Segmentation Preserved Voxel Connectivity

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Hepatic vessel segmentation on contrast enhanced CT image sequence for liver transplantation planning

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Journal of Biomedical Science and Engineering 2013年第4期6卷 498-503页

作者： do-yeon kim Department of Computer Engineering Sunchon National University Sunchon South Korea

The structure and morphology of the hepatic vessels and their relationship between tumors and liver segments are major interests to surgeons for liver surgical planning. In case of living donor liver transplantation (LDLT), the most important step in determining donor suitability is an accurate assessment of the liver volume available for transplantation. In addition, the mutual principles of the procedures include dissection in the appropriate anatomic plane without portal occlusion, minimization of blood loss, and avoidance of injury to the remaining liver. It is essential first step to identify and evaluate the major hepatic vascular structure for liver surgical planning. In this paper, the threshold was determined to segment the liver region automatically based on the distribution ratio of intensity value;and the hepatic vessels were extracted with mathematical morphology transformation, which called hit operation, that is slightly modified version of hit-and-miss operation on contrast enhanced CT image sequence. We identified the vein using the preserved voxel connectivity between two consecutive transverse image sequences, followed by resection into right lobe including right hepatic vein, middle hepatic vein branches andleft lobe including left hepatic vein. An automated hepatic vessel segmentation scheme is recommended for liver surgical planning such as tumor resection and transplantation. These vessel extraction method combined with liver region segmentation technique could be applicable to extract tree-like organ structures such as carotid, renal, coronary artery, and airway path from various medical imaging modalities.

关键词： Living donor Liver Transplantation Hepatic Vascular Structure Mathematical Morphology Image Segmentation

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Sensing Characteristics of Polyaniline Sensor Coated with Porous Poly(vinylidenfluoride) Layer to Methanol Gas

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稀有金属材料与工程 2006年第A3期35卷 459-462页

作者： Cheol-Beom Lim Joon-Boo Yu do-yeon kim Sung-Ok Sohn Duk-dong Lee Jeung-Soo Huh Department of Sensor and Display Engineering Kyungpook National UniversitySangyuk-Dong 1370BukguDeaguKorea Department of Materials Science & Metallurgy Kyungpook National UniversitySangyuk-Dong 1370BukguDeaguKorea Department of Electronic Engineering Kyungpook National UniversitySangyuk-Dong 1370BukguDeaguKorea Department of Sensor and Display Engineering Kyungpook National UniversitySangyuk-Dong 1370BukguDeaguKorea.Department of Materials Science & MetallurgyKyungpook National UniversitySangyuk-Dong 1370BukguDeaguKorea

Hydrophobic polymer [***(vinylidenfluoride)] layer was coated on polyaniline (PANi) sensor to reduce the problems of *** differences in sensitivity to methanol gas detection in various humidity condition between pure-PANi sensor and coated with poly(vinylidenfluoride) polymer (PVDF) (coated-PANi sensor) were *** the relation between the density of pore,which was coated on the layer of the PANi sensor,and sensitivity was *** fabricate the porous PVDF layer on PANi sensor,poly(vinylalcohol) (PVA),which is water-soluble polymer,was used. Coated-PANi sensor was less affected by humidity compared with pure-PANi *** higher density of pore on PVDF layer led to higher sensitivity.

关键词： polyaniline PVDF PVA methanol gas humidity

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Customized lipid-coated magnetic mesoporous silica nanoparticle doped with ceria nanoparticles for theragnosis of intracerebral hemorrhage

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Nano Research 2018年第7期11卷 3582-3592页

作者： Bong Geun Cha Han-Gil Jeong dong-Wan Kang Myong-Joo Nam Chi Kyung kim do yeon kim In-Young Choi Seul Ki Ki Song I kim Ju hee Han Jaeyun kim Seung-Hoon Lee School of Chemical Engineering Sungkyunkwan University Suwon 16419 Republic of Korea Department of Laboratory of Innovative Nanobiotechnology Biomedical Research Institute Seoul National University Hospital 101 Daehak-ra Jongno-gu Seou103080 Republic of Korea Department of Neurology Seoul National University Hospital 101 Daehak-ro Jongno-gu Seou103080 Republic of Korea Department of Neurology Korea University Guro Hospital and Korea University College of Medicine Seoul 08308 Republic of Korea Department of Health Sdences and Technology Samsung Advanced Institute for Health Science & Technology (SAIHST) Sungkyunkwan University Suwon 16419 Republic of Korea Biomedical Institute for Convergence at SKKU (BICS) Sungkyunkwan University Suwon 16419 Republic of Korea

Intracerebral hemorrhage （ICH）, caused by the sudden rupture of an artery within the brain, is a devastating subtype of stroke, which currently has no effective treatment. Intense inflammatory reactions that occur in the peri-hematomal area after ICH are more deleterious than the hematoma itself, resulting in subsequent brain edema and neurologic deterioration. Thus, we developed lipid-coated magnetic mesoporous silica nanoparticles doped with ceria nanoparticles （CeNPs）, abbreviated as LMCs, which have both potent anti-inflammatory therapeutic effects via scavenging reactive oxygen species and help in increasing the efficacy of magnetic resonance imaging enhancement in the peri-hematomal area. LMCs consist of mesoporous silica nanopartide-supported lipid bilayers, which are loaded with large amounts of CeNPs for scavenging of reactive oxygen species, and iron oxide nanoparticles for magnetic resonance imaging contrast. LMCs loaded with CeNPs exhibited strong anti-oxidative and anti-inflammatory activities in vitro. In the rodent ICH model, intracerebraUy injected LMCs reached the peri-hematomal area and were engulfed by macrophages, which were clearly visualized by magnetic resonance imaging of the brain. Moreover, LMCs reduced inflammatory macrophage infiltration, and thus significantly reduced brain edema. Finally, LMC treatment markedly improved neurologic outcomes of the animals with ICH. Thus, LMC is the first nanobiomaterial that successfully showed theragnostic effects in ICH.

关键词： magnetic mesoporous silica nanoparticle ceria nanoparticles intracerebral hemorrhage reactive oxygen species therapeutics imaging

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Solar Driven 15.7% Hydrogen Conversion by Harmony of Light Harvesting,Electron Transporting Bridge,and S-Defection in a Self-Assembled Microscale CuS/rGO/CP Photoanode

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Energy & Environmental Materials 2024年第3期7卷 190-201页

作者： Sujeong kim Boseok Seo Hyerim Park Younghwan Im Jeong yeon do Byung Sub Kwak Namgyu Son Minkyu kim Misook Kang Department of Chemistry College of Natural SciencesYeungnam UniversityGyeongsan Gyeongbuk 38541Korea School of Chemical Engineering Yeungnam UniversityGyeongsan Gyeongbuk 38541Korea Department of Energy and Hydrocarbon Chemistry Graduate School of EngineeringKyoto UniversityKyoto 615-8510Japan Korea Evaluation Institute of Industrial Technology(Keit) Cheomdan-Ro 8-GilDong-GuDaegu 41069Korea Korea Electric Power Research Institute(KEPRI)105 Munji-ro Yooseong-guDaejeon 34056Korea

CuS is an encouraging photoelectrode candidate that meets the essential requirements for efficient solar-to-hydrogen production,but it has not been thoroughly studied.A CuS light absorber layer is grown by the self-assembly of copper and sulfur precursors on a carbon paper(CP)***,rGO is introduced as a buffer layer to control the optical and electrical properties of the *** well-ordered microstructural arrangement suppresses the recombination loss of electrons and holes owing to enhanced charge-carrier generation,separation,and *** potential reaching 10 mA cm^(-2)in 1.0 M KOH solution is significantly lowered to 0.87 V,and the photocurrent density at 1.23 V is 94.7 mA cm^(-2).The computational result reveals that the potential-determining step is sensitive to O^(*)stability;the lower stability of O^(*)in the thin layer of CuS/rGO decreases the free-energy gap between the initial and final states of the potential-determining step,resulting in a lowering of the onset *** faradaic efficiency for the photoelectrochemical oxygen evolution reaction in the optimized 2CuS/1rGO/CP photoanode is 98.60%,and the applied bias photon-to-current and the solar-to-hydrogen efficiencies are 11.2%and 15.7%,respectively,and its ultra-high performance is maintained for 250 *** record-breaking achievement indices may be a trigger for establishing a green hydrogen economy.

关键词： 15.7%-solar to hydrogen density functional theory lower photopotential p-CuS/rGO/CP photoanode photoelectrochemical oxygen evolution

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Intelligent structured nanocomposite adhesive for bioelectronics and soft robots

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Nano Research 2024年第2期17卷 534-549页

作者： yeon Soo Lee Min-Seok kim Da Wan kim Changhyun Pang School of Chemical Engineering Sungkyunkwan University(SKKU)Suwon 16419Republic of Korea Mechanical Metrology Group Korea Research Institute of Standards and ScienceDaejeon 34113Republic of Korea Department of Electronic Engineering Korea National University of TransportationChungbuk 27469Republic of Korea Samsung Advanced Institute for Health Sciences and Technology Sungkyunkwan University(SKKU)Suwon 16419Republic of Korea

The remarkable functionality of biological systems in detecting and adapting to various environmental conditions has inspired the design of the latest electronics and robots with advanced *** review focuses on intelligent bio-inspired strategies for developing soft bioelectronics and robotics that can accommodate nanocomposite adhesives and integrate them into biological *** underlying principles of the material and structural design of nanocomposite adhesives were investigated for practical applications with excellent functionalities,such as soft skin-attachable health care sensors,highly stretchable adhesive electrodes,switchable adhesion,and untethered soft *** addition,we have discussed recent progress in the development of effective fabrication methods for micro/nanostructures for integration into devices,presenting the current challenges and prospects.

关键词： biomimetics bio-adhesive switchable adhesion bioelectronics nanocomposite soft robotics

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Development and application of a multi-step porcine in vitro system to evaluate feedstuffs and feed additives for their efficacy in nutrient digestion, digesta characteristics, and intestinal immune responses

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Animal Nutrition 2024年第2期17卷 265-282页

作者： Hee yeon kim Jun-Ok Moon Sung Woo kim Application Center CJ Blossom Park Department of Animal Science North Carolina State University

In vitro model provides alternatives to the use of live animals in research. In pig nutrition, there has been a tremendous increase in in vivo research over the decades. Proper utilization of in vitro models could provide a screening tool to reduce the needs of in vivo studies, research duration, cost, and the use of animals and feeds. This study aimed to develop a multi-step porcine in vitro system to simulate nutrient digestion and intestinal epithelial immune responses affected by feedstuffs and feed additives. Seven feedstuffs(corn, corn distillers dried grains with solubles [corn DDGS], barley, wheat, soybean meal, soy protein concentrates, and Corynebacterium glutamicum cell mass [CGCM]), feed enzymes(xylanase and phytase), and supplemental amino acids(arginine, methionine, and tryptophan), were used in this in vitro evaluation for their efficacy on digestibility, digesta characteristics, and intestinal health compared with the results from previously published in vivo studies. All in vitro evaluations were triplicated. Data were analyzed using Mixed procedure of SAS9.4. Evaluations included(1) nutrient digestibility of feedstuffs,(2) the effects of feed enzymes, xylanase and phytase, on digestibility of feedstuffs and specific substrates, and(3) the effects of amino acids, arginine, tryptophan, and methionine, on anti-inflammatory, anti-oxidative, and anti-heat stress statuses showing their effects(P < 0.05) on the measured items. Differences in dry matter and crude protein digestibility among the feedstuffs as well as effects of xylanase and phytase were detected(P < 0.05), including xylo-oligosaccharide profiles and phosphorus release from phytate. Supplementation of arginine, tryptophan, and methionine modulated(P < 0.05) cellular inflammatory and oxidative stress responses. The use of this in vitro model allowed the use of 3 experimental replications providing sufficient statistical power at P < 0.05. This indicates in vitro models can have increased prec

关键词： Digestion Feed additive Feedstuff In vitro Intestine Pig

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Sleep Posture Classification Using RGB and Thermal Cameras Based on Deep Learning Model

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1729-1755页

作者： Awais Khan Chomyong kim Jung-yeon kim Ahsan Aziz Yunyoung Nam Department of ICT Convergence Soonchunhyang UniversityAsan31538Korea ICT Convergence Research Center Soonchunhyang UniversityAsan31538Korea Emotional and Intelligent Child Care Convergence Research Center Soonchunhyang UniversityAsan31538Korea

Sleep posture surveillance is crucial for patient comfort,yet current systems face difficulties in providing compre-hensive studies due to the obstruction caused by *** posture assessment remains challenging because of the complex nature of the human body and variations in sleep ***,this study introduces an innovative method utilizing RGB and thermal cameras for comprehensive posture classification,thereby enhancing the analysis of body position and *** method begins by capturing a dataset of sleep postures in the form of videos using RGB and thermal cameras,which depict six commonly adopted postures:supine,left log,right log,prone head,prone left,and prone *** study involves 10 participants under two conditions:with and without ***,the database is normalized into a video *** subsequent step entails training a fine-tuned,pretrained Visual Geometry Group(VGG16)and ResNet50 *** the third phase,the extracted features are utilized for *** fourth step of the proposed approach employs a serial fusion technique based on the normal distribution to merge the vectors derived from both the RGB and thermal ***,the fused vectors are passed to machine learning classifiers for final *** dataset,which includes human sleep postures used in this study’s experiments,achieved a 96.7%accuracy rate using the Quadratic Support Vector Machine(QSVM)without the ***,the Linear SVM,when utilized with a blanket,attained an accuracy of 96%.When normal distribution serial fusion was applied to the blanket features,it resulted in a remarkable average accuracy of 99%.

关键词： Human sleep posture VGG16 deep learning ResNet50 fusion machine learning

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Heterostructured nickel-cobalt metal alloy and metal oxide nanoparticles as a polysulfide mediator for stable lithium-sulfur full batteries with lean electrolyte

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Carbon Energy 2024年第7期6卷 163-177页

作者： Hyeona Park Suyeong Lee Hyerim kim Hyunyoung Park Hun kim Jongsoon kim Marco Agostini Yang-Kook Sun Jang-yeon Hwang Department of Energy Engineering Hanyang UniversitySeoulRepublic of Korea LG Energy Solution LtdCTOLG Science ParkSeoulRepublic of Korea Department of Energy Science Sungkyunkwan UniversitySuwonRepublic of Korea SKKU Institute of Energy Science and Technology(SIEST) Sungkyunkwan UniversitySuwonRepublic of Korea Dipartimento di Chimica e Tecnologia del Farmaco Universitàdi Roma La SapienzaRomaItaly Department of Battery Engineering Hanyang UniversitySeoulRepublic of Korea

Batteries that utilize low-cost elemental sulfur and light metallic lithium as electrodes have great potential in achieving high energy ***,building a lithium-sulfur(Li-S)full battery by controlling the electrolyte volume generally produces low practical energy because of the limited electrochemical Li-S ***,the high energy/high performance of a Li-S full battery with practical sulfur loading and minimum electrolyte volume is reported.A unique hybrid architecture configured with Ni-Co metal alloy(NiCo)and metal oxide(NiCoO_(2))nanoparticles heterogeneously anchored in carbon nanotube-embedded selfstanding carbon matrix is fabricated as a host for *** work demonstrates the considerable improvement that the hybrid structure's high conductivity and satisfactory porosity promote the transport of electrons and lithium ions in Li-S *** experimental and theoretical validations,the function of NiCo and NiCoO_(2) nanoparticles as an efficient polysulfide mediator is *** particles afford polysulfide anchoring and catalytic sites for Li-S redox reaction,thus improving the redox conversion *** at high sulfur loading,the nanostructured Ni-Co metal alloy and metal oxide enable to have stable cycling performance under lean electrolyte conditions both in half-cell and full-cell batteries using a graphite anode.

关键词： full cell high energy lean electrolyte Li-S batteries polysulfide mediator

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