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Rare Metals 2020年第8期39卷 918-927页

作者： Si-Jun Park Kyu-Hyuk Lee Seong-Moon Seo hi-won jeong Young-Soo Yoo HeeJin Jang Multi-Material Research Center Gwangju-Jeonnam DivisionKorea Automotive Technology InstituteGwangju 62207Republic of Korea Department of Advanced Materials Engineering Chosun UniversityGwangju 61452Republic of Korea high Temperature Materials Group Korea Institute of Materials ScienceChangwon 51508Republic of Korea Department of Materials Science and Engineering Chosun UniversityGwangju 61452Republic of Korea

The effects of alloying elements(Co,Cr,Mo,W,Al,Ti,and Ta)on the oxidation resistance of Ni-(0-15)Co-(8-15)Cr-(0-5)Mo-(0-10)W-(3-8)Al-(0-5)Ti-(0-10)Ta-0.1 C-0.01 B alloys were *** sample compositions were designed by the Box-Behnken method of design of experiments(DOE).The alloying elements show complicated effects on the mass gain due to oxidation,depending on the alloy *** reduces the mass gain *** other elements except Al do not appear to exert a strong effect on the oxidation rate on average,but their influences are shown clearly in the alloys with a low Al ***,W,and Ta reduce the oxidation rate,while Cr,Mo,and Ti promote *** is the most effective element in reducing the oxidation rate of the alloy with a low Al *** is confirmed that a continuous Al2O3 layer is essentially required for high oxidation *** oxide scale of easily oxidized alloys has various oxides such as NiCr2O4,NiAl2O4,NiO,Cr2O3,CrTaO4,and TiO2.

关键词： high temperature oxidation Alloy composition Ni-based superalloy Oxidation resistance Design of experiments

Flexible thermocouple using a thermoelectric graphene fiber with a seamless junction

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Journal of Materials Science & Technology 2024年第5期172卷 15-22页

作者： Seungwon Kim Soomook Lim Myeong Hee jeong wonjoon Kim Seunghyun Baik Ji won Suk School of Mechanical Engineering Sungkyunkwan UniversitySuwonGyeonggi-do 16419Republic of Korea Department of Smart Fab.Technology Sungkyunkwan UniversitySuwonGyeonggi-do 16419Republic of Korea SKKU Advanced Institute of Nanotechnology(SAINT) Sungkyunkwan UniversitySuwonGyeonggi-do 16419Republic of Korea

Temperature is an important physical variable that indicates the condition of the human body and artificial *** wearable applications require the development of temperature sensors with different form *** this study,a fiber-shaped thermoelectric temperature sensor is fabricated using a continuous graphene fiber whose two halves possess different reduction states.A seamless junction is formed by partially reducing a wet-spun graphene oxide fiber with hydroiodic acid(hi)solutions of different ***-half of the fiber is mildly reduced with 0.97 wt%hi,while the other half is highly reduced with 30.6 wt%*** different reduction states of the graphene composite fiber result in different Seebeck coefficients,allowing for the fabrication of a fiber-shaped graphene thermocou-ple without any laborious *** flexible graphene thermocouple exhibits high sensitivity with a thermopower of 12.5μV K^(-1)in the temperature range of room temperature to∼70℃.Furthermore,it exhibits high linearity with a correlation coefficient exceeding 0.995 and fast response with a time constant of 0.24 *** to its mechanical robustness and flexibility,the stand-alone graphene ther-mocouple can be knitted into a cotton fabric glove,which presents a fast response to environmental changes without any external power *** work offers a unique fabrication method for producing a high-performance,flexible thermocouple that features a seamless and clear junction without the use of additional *** alternative method eliminates the complicated assembly processes typically required for conventional thermocouples.

关键词： Graphene fiber Thermocouple Reduced graphene oxide Flexible temperature sensor Seebeck coefficient

CD200Rhigghh neutrophils with dysfunctional autophagy establish systemic immunosuppression by increasing regulatory T cells

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Cellular & Molecular Immunology 2024年第4期21卷 349-361页

作者： Ye Seon Kim Yu Sun jeong Geon Ho Bae Ji Hyeon Kang Mingyu Lee Brian A.Zabel Yoe-Sik Bae Department of Biological Sciences Sungkyunkwan UniversitySuwon16419Republic of Korea Department of Health Science and Technology SAIHSTSungkyunkwan UniversitySeoul06351Republic of Korea Palo Alto Veterans Institute for Research Veterans Affairs HospitalPalo AltoCA94304USA

Distinct neutrophil populations arise during certain pathological *** generation of dysfunctional neutrophils during sepsis and their contribution to septicemia-related systemic immune suppression remain *** this study,using an experimental sepsis model that features immunosuppression,we identified a novel population of pathogenic CD200R^(high) neutrophils that are generated during the initial stages of sepsis and contribute to systemic immune suppression by enhancing regulatory T(T_(reg))*** to their CD200R^(low)counterparts,sepsis-generated CD200Rhigh neutrophils exhibit impaired autophagy and dysfunction,with reduced chemotactic migration,superoxide anion production,and TNF-α*** soluble CD200 blocks autophagy and neutrophil maturation in the bone marrow during experimental sepsis,and recombinant CD200 treatment in vitro can induce neutrophil dysfunction similar to that observed in CD200R^(high) *** administration of anα-CD200R antibody effectively reversed neutrophil dysfunction by enhancing autophagy and protecting against a secondary infection challenge,leading to increased *** analysis revealed that CD200R^(high) neutrophils expressed high levels of Igf1,which elicits the generation of Treg cells,while the administration of anα-CD200R antibody inhibited Treg cell generation in a secondary infection *** together,our findings revealed a novel CD200R^(high) neutrophil population that mediates the pathogenesis of sepsis-induced systemic immunosuppression by generating Treg cells.

关键词： Sepsis Neutrophils CD200R Autophagy IGF-1 Regulatory T cells

Regulation of c-SMAC formation and AKT-mTOR signaling by the TSG101-IFT20 axis in CD4^(+)T cells

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Cellular & Molecular Immunology 2023年第5期20卷 525-539页

作者： Jiung jeong In Kang Yumin Kim Keun Bon Ku Jang Hyun Park Hyun-Jin Kim Chae won Kim jeongwoo La hi Eun Jung Hyeon Cheol Kim Young Joon Choi Jaeho Kim Joon Kim Heung Kyu Lee Graduate School of Medical Science and Engineering Korea Advanced Institute of Science and Technology(KAIST)Daejeon 34141Republic of Korea Department of Internal Medicine Seoul National University HospitalSeoul 03080Republic of Korea Department of Biological Sciences KAISTDaejeon 34141Republic of Korea Department of Convergent Research of Emerging Virus Infection Korea Research Institute of Chemical TechnologyDaejeon 34114Republic of Korea.

CD4^(+)T cells play major roles in the adaptive immune system,which requires antigen recognition,costimulation,and cytokines for its elaborate *** studies have provided new insight into the importance of the supramolecular activation cluster(SMAC),which comprises concentric circles and is involved in the amplification of CD4^(+)T cell ***,the underlying mechanism of SMAC formation remains poorly ***,we performed single-cell RNA sequencing of CD4^(+)T cells left unstimulated and stimulated with anti-CD3 and anti-CD28 antibodies to identify novel proteins involved in their *** found that intraflagellar transport 20(IFT20),previously known as cilia-forming protein,was upregulated in antibody-stimulated CD4^(+)T cells compared to unstimulated CD4^(+)T *** also found that IFT20 interacted with tumor susceptibility gene 101(TSG101),a protein that endocytoses ubiquitinated T-cell *** interaction between IFT20 and TSG101 promoted SMAC formation,which led to amplification of AKT-mTOR ***,IFT20-deficient CD4^(+)T cells showed SMAC malformation,resulting in reduced CD4^(+)T cell proliferation,aerobic glycolysis,and cellular ***,mice with T-cell-specific IFT20 deficiency exhibited reduced allergen-induced airway ***,our data suggest that the IFT20-TSG101 axis regulates AKT-mTOR signaling via SMAC formation.

关键词： CD4^(+)T cell Intraflagellar transport 20 Tumor susceptibility gene 101 AKT-mTOR signaling Asthma Supramolecular activation cluster

Applying Apache Spark on Streaming Big Data for Health Status Prediction

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Computers, Materials & Continua 2022年第2期70卷 3511-3527页

作者： Ahmed Ismail Ebada Ibrahim Elhenawy Chang-won jeong Yunyoung Nam Hazem Elbakry Samir Abdelrazek Information Systems Department Faculty of Computers and InformationMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computers and InformationEl-Zagazig UniversityZagazigSharqiyah44519Egypt Medical Convergence Research Center Wonkwang UniversityIksanKorea Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea

Big data applications in healthcare have provided a variety of solutions to reduce costs,errors,and *** work aims to develop a real-time system based on big medical data processing in the cloud for the prediction of health *** the proposed scalable system,medical parameters are sent to Apache Spark to extract attributes from data and apply the proposed machine learning *** this way,healthcare risks can be predicted and sent as alerts and recommendations to users and healthcare *** proposed work also aims to provide an effective recommendation system by using streaming medical data,historical data on a user’s profile,and a knowledge database to make themost appropriate real-time recommendations and alerts based on the sensor’s *** proposed scalable system works by tweeting the health status attributes of *** cloud profile receives the streaming healthcare data in real time by extracting the health attributes via a machine learning prediction algorithm to predict the users’health ***,their status can be sent on demand to healthcare ***,machine learning algorithms can be applied to stream health care data from wearables and provide users with insights into their health *** algorithms can help healthcare providers and individuals focus on health risks and health status changes and consequently improve the quality of life.

关键词： Big data streaming processing healthcare data machine learning IoT data processing Apache Spark

Human Gait Recognition:A Deep Learning and Best Feature Selection Framework

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Computers, Materials & Continua 2022年第1期70卷 343-360页

作者： Asif Mehmood Muhammad Attique Khan Usman Tariq Chang-won jeong Yunyoung Nam Reham R.Mostafa Amira ElZeiny Department of Computer Science COMSATS University IslamabadWah Campus47080Pakistan Department of Computer Science HITEC University TaxilaTaxila47040Pakistan College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-KhrajSaudi Arabia Medical Convergence Research Center Wonkwang UniversityIksanKorea Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea Department of Information Systems Faculty of Computers and Information SciencesMansoura UniversityMansoura35516Egypt Department of Information Systems Faculty of Computers and InformationDamietta UniversityDamiettaEgypt

Background—Human Gait Recognition(HGR)is an approach based on biometric and is being widely used for *** is adopted by researchers for the past several *** factors are there that affect the system performance such as the walking variation due to clothes,a person carrying some luggage,variations in the view ***—In this work,a new method is introduced to overcome different problems of HGR.A hybrid method is proposed or efficient HGR using deep learning and selection of best *** major steps are involved in this work-preprocessing of the video frames,manipulation of the pre-trained CNN model VGG-16 for the computation of the features,removing redundant features extracted from the CNN model,and *** the reduction of irrelevant features Principal Score and Kurtosis based approach is proposed named *** that,the features of PSbK are fused in one ***,this fused vector is fed to the One against All Multi Support Vector Machine(OAMSVM)classifier for the final ***—The system is evaluated by utilizing the CASIA B database and six angles 00◦,18◦,36◦,54◦,72◦,and 90◦are used and attained the accuracy of 95.80%,96.0%,95.90%,96.20%,95.60%,and 95.50%,***—The comparison with recent methods show the proposed method work better.

关键词： Human gait recognition deep features extraction features fusion features selection

Brain Tumor Diagnosis Using Sparrow Search Algorithm Based Deep Learning Model

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Computer Systems Science & Engineering 2023年第2期44卷 1793-1806页

作者： G.Ignisha Rajathi R.Ramesh Kumar D.Ravikumar T.Joel Seifedine Kadry Chang-won jeong Yunyoung Nam Department of Computer Science and Business Systems Sri Krishna College of Engineering and TechnologyCoimbatore641008India Department of Information Technology Sri Krishna College of TechnologyCoimbatore641008India Department of Electronics and Communication Engineering Kings Engineering CollegeChennai602117India Department of Electronics and Communication Engineering R.M.K.Engineering CollegeChennai601206India Deparmtent of Applied Data Science Noroff University CollegeKristiansandNorway Medical Convergence Research Center Wonkwang UniversityIksanKorea Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea

Recently,Internet of Medical Things(IoMT)has gained considerable attention to provide improved healthcare services to *** earlier diag-nosis of brain tumor(BT)using medical imaging becomes an essential task,auto-mated IoMT and cloud enabled BT diagnosis model can be devised using recent deep learning *** this motivation,this paper introduces a novel IoMT and cloud enabled BT diagnosis model,named *** IoMTC-HDBT model comprises the data acquisition process by the use of IoMT devices which captures the magnetic resonance imaging(MRI)brain images and transmit them to the cloud ***,adaptive windowﬁltering(AWF)based image preprocessing is used to remove *** addition,the cloud server executes the disease diagnosis model which includes the sparrow search algorithm(SSA)with GoogleNet(SSA-GN)*** IoMTC-HDBT model applies functional link neural network(FLNN),which has the ability to detect and classify the MRI brain images as normal or ***ﬁnds useful to generate the reports instantly for patients located in remote *** validation of the IoMTC-HDBT model takes place against BRATS2015 Challenge dataset and the experimental analysis is car-ried out interms of sensitivity,accuracy,and speciﬁ*** experimentation out-come pointed out the betterment of the proposed model with the accuracy of 0.984.

关键词： Internet of medical things healthcare brain tumor disease classiﬁcation deep learning metaheuristics

Association between the early high level of serum tacrolimus and recurrence of hepatocellular carcinoma in ABO-incompatible liver transplantation

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World Journal of Gastrointestinal Surgery 2023年第12期15卷 2727-2738页

作者： Ji won Han Jong Young Choi Eun Sun Jung Ji Hoon Kim Hee Sun Cho Jae-Sung Yoo Pil Soo Sung jeong won Jang Seung Kew Yoon Ho Joong Choi Young Kyoung You Department of Internal Medicine The Catholic University of KoreaSeoul 06591South Korea The Catholic University Liver Research Center College of MedicineThe Catholic University of KoreaSeoul 06591South Korea Department of Hospital Pathology The Catholic University of KoreaSeoul 06591South Korea Department of Surgery The Catholic University of KoreaSeoul 06591South Korea

BACKGROUND Clinical factors predicting graft survival(GS)after ABO-incompatible(ABOi)liver transplantation(LT),and differences between recipients with and without hepatocellular carcinoma(HCC)are *** To analyze the impact of serial serum tacrolimus trough concentration in recipients with or without(HCC)in ABOi living-donor liver transplantation(LDLT).METHODS We analyzed a historical cohort of 89 recipients who underwent ABOi LDLT,including 47 patients with *** The 1-,3-,5-,and 10-year GS rates were 85.9%,73.3%,71.4%,and 71.4%,respectively,and there were no significant differences between HCC and non-HCC *** multivariate Coxregression analyses,tacrolimus trough concentrations below 5.4 ng/mL at 24 wk post-LT,in addition to the antibody-mediated rejection(AMR)were associated with poor-graft *** HCC patients,AMR[hazard ratio(HR)=63.20,P7.3 ng/mL were significant predictive factors for HCC *** propensity score matching,patients with high tacrolimus concentrations at 4 wk had significantly poor recurrence-free *** Elevated tacrolimus levels at 4 wk after ABOi LDLT have been found to correlate with HCC ***,careful monitoring and control of tacrolimus levels are imperative in ABOi LT recipients with HCC.

关键词： ABO-incompatible Liver transplantation Tacrolimus Hepatocellular carcinoma

Biologically inspired ultrathin arrayed camera for high-contrast and high-resolution imaging

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Light(Science & Applications) 2020年第1期9卷 1742-1748页

作者： Kisoo Kim Kyung-won Jang Jae-Kwan Ryu Ki-Hun jeong Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology(KAIST)291 Daehak-roYuseong-guDaejeon 34141Republic of Korea KAIST Institute for Health Science and Technology KAISTDaejeon 34141Republic of Korea Unmanned/Robotic Systems Lab. LIG Nex1 Co.LtdSeongnam 13488Republic of Korea

Compound eyes found in insects provide intriguing sources of biological inspiration for miniaturised imaging ***,we report an ultrathin arrayed camera inspired by insect eye structures for high-contrast and super-resolution *** ultrathin camera features micro-optical elements(MOEs),i.e.,inverted microlenses,multilayered pinhole arrays,and gap spacers on an image *** MOE was fabricated by using repeated photolithography and thermal *** fully packaged camera shows a total track length of 740μm and a field-of-view(FOV)of 73°.The experimental results demonstrate that the multilayered pinhole of the MOE allows high-contrast imaging by eliminating the optical crosstalk between *** integral image reconstructed from array images clearly increases the modulation transfer function(MTF)by~1.57 times compared to that of a single channel image in the ultrathin *** ultrathin arrayed camera provides a novel and practical direction for diverse mobile,surveillance or medical applications.

关键词： resolution high camera

Enhanced delivery of a low dose of aducanumab via FUS in 5×FAD mice,an AD model

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Translational Neurodegeneration 2022年第1期11卷 31-45页

作者： Chanho Kong Eun-jeong Yang Jaewoo Shin Junwon Park Si-Hyun Kim Seong-Wook Park won Seok Chang Chang-Han Lee Hyunju Kim Hye-Sun Kim Jin Woo Chang Department of Neurosurgery Yonsei University College of Medicine50 Yonsei-RoSeodaemun-GuSeoulRepublic of Korea Department of Pharmacology College of MedicineSeoul National University103 DaehakroJongro-GuSeoulRepublic of Korea Neuroscience Research Center College of MedicineSeoul National University103 DaehakroJongro-GuSeoulRepublic of Korea Department of Biomedical Sciences College of MedicineSeoul National University103 DaehakroJongro-GuSeoulRepublic of Korea Bundang Hospital Seoul National University College of MedicineBundang-GuSungnamRepublic of Korea.

Background:Aducanumab(Adu),which is a human IgG1 monoclonal antibody that targets oligomer and fibril forms of beta-amyloid,has been reported to reduce amyloid pathology and improve impaired cognition after administration of a high dose(10 mg/kg)of the drug in Alzheimer’s disease(AD)clinical *** purpose of this study was to investigate the effects of a lower dose of Adu(3 mg/kg)with enhanced delivery via focused ultrasound(FUS)in an AD mouse ***:The FUS with microbubbles opened the blood-brain barrier(BBB)of the hippocampus for the delivery of *** combined therapy of FUS and Adu was performed three times in total and each treatment was performed biweekly.Y-maze test,Brdu labeling,and immunohistochemical experimental methods were employed in this *** addition,RNA sequencing and ingenuity pathway analysis were employed to investigate gene expression profiles in the hippocampi of experimental ***:The FUS-mediated BBB opening markedly increased the delivery of Adu into the brain by approximately 8.1 times in the *** combined treatment induced significantly less cognitive decline and decreased the level of amyloid plaques in the hippocampi of the 5×FAD mice compared with Adu or FUS *** treatment with FUS and Adu activated phagocytic microglia and increased the number of astrocytes associated with amyloid plaques in the hippocampi of 5×FAD ***,RNA sequencing identified that 4 enriched canonical pathways including phagosome formation,neuroinflammation signaling,CREB signaling and reelin signaling were altered in the hippocami of 5×FAD mice receiving the combined ***:In conclusion,the enhanced delivery of a low dose of Adu(3 mg/kg)via FUS decreases amyloid deposits and attenuates cognitive function ***-mediated BBB opening increases adult hippocampal neurogenesis as well as drug *** present an AD treatment strategy through the synergistic effect of the combined therapy of

关键词： Aducanumab Alzheimer’s disease Focused ultrasound Transcriptome profiling