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Refractory lipoatrophy treated with autologous whole blood injection:A case report

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World Journal of Clinical Cases 2025年第2期13卷 33-38页

作者： Wonnam kim Jun Su Park En Hyung kim Department of Pharmacology School of Korean MedicinePusan National UniversityYangsan 50612GyeongnamSouth Korea Department of Dermatology College of MedicineChungbuk National UniversityCheongju 28644ChungbukSouth Korea Department of Dermatology Chungbuk National University HospitalCheongju 28644ChungbukSouth Korea

BACKGROUND Intramuscular corticosteroid injection may cause adverse effects such as dermal and/or subcutaneous atrophy,alopecia,hypopigmentation,and *** cutaneous atrophy can spontaneously resolve,several treatment options have been suggested for this *** SUMMARY In this paper,we report a case of corticosteroid injection induced lipoatrophy treated with autologous whole blood(AWB)injection,as the condition had been unresponsive to fractional laser therapy.A 29-year-old female patient visited the dermatology clinic complaining of skin depression on her right buttock area,which had appeared six months *** had been only subtle improvement at the margins after fractional CO_(2) laser treatment;therefore,after obtaining informed consent from the patient,AWB treatment was *** month after the first AWB injection,the size and depth of the lesion had noticeably improved,and a slight improvement was also observed in *** Close observation is the initial treatment of choice for steroid induced skin atrophy;however,for patients in need of immediate cosmetic improvement,AWB injection may be a safe and cost-effective alternative.

关键词： Atrophy Corticosteroid Subcutaneous fat Autologous whole blood injection Laser therapy Case report

Deep Drawing Process Using a Tractrix Die for Manufacturing Liners for a CNG High-Pressure Vessel(Type Ⅱ)

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Chinese Journal of Mechanical Engineering 2022年第1期35卷 132-143页

作者： gun‑Young Park Hyo‑Seo Kwak Hyo‑Seong Jang Chul kim School of Mechanical Engineering Pusan National UniversityPusan 46241South Korea Department of Mechanical Engineering Dong-eui UniversityPusan 47340Korea.

The liner of a CNG pressure vessel is manufactured by a DDI(deep drawing and ironing)process for the cylinder part,which is a continuous process that includes a drawing process to reduce the diameter of the billet and a subsequent ironing process to reduce the thickness of the billet.A tractrix die used in the 1^(st) deep drawing allows the blank to flow smoothly by decreasing the punch load and radial tensile stress occurring in the *** also increases the draw ratio compared to conventional dies,but it causes forming *** this study,a shape coefficient(S_(c))is proposed for the tractrix die using the blank diameter(D_(0)),inflow diameter of the workpiece(d_(i)),and inflow angle of the workpiece(θ)for design of the tractrix *** effects of the thickness and inflow angle of the workpiece on wrinkling and folding were investigated through ***,a discriminant is proposed for the relative radial stress(σ)generated during the deep drawing process using the tractirx die and used to predict *** on the results,the blank thickness,the draw ratio,and the inflow of the workpiece angle in the 1^(st) deep drawing process are suggested,and the number of operations in the DDI process was reduced from 6 to *** improves the productivity and reduces the manufacturing cost.

关键词： Tractrix die Deep drawing Wrinkling Folding LDR(Limit draw ratio) FEM

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Characterization of lattice parameters gradient of Cu(In1-xGax)Se2 absorbing layer in thin-film solar cell by glancing incidence X-ray diffraction technique

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Journal of Materials Science & Technology 2020年第16期47卷 193-201页

作者： yong-Il kim Ki-Bok kim Miso kim Department of Nano Science University of Science and Technology217GajeongYuseongDaejeon34113Republic of Korea Korea Research Institute of Standards and Science 267GajeongYuseongDaejseon34113Republic of Korea

In or Ga gradients in the Cu(In1-xGax)Se2(CIGS)absorbing layer lead to change the lattice parameters of the absorbing layer,giving rise to the bandgap grading in the absorbing layer which is directly associated with the degree of absorbing ability of the CIGS solar *** tried to characterize the depth profile of the lattice parameters of the CIGS absorbing layer using a glancing incidence X-ray diffraction(GIXRD)technique,and then investigate the bandgap grading of the CIGS absorbing *** the glancing incident angle increased from 0.50 to 5.00°,the a and c lattice parameters of the CIGS absorbing layer gradually decreased from 5.7776(3)to 5.6905(2)?,and 11.3917(3)to 11.2114(2)?,*** depth profile of the lattice parameters as a function of the incident angle was consistent with vertical variation in the compositionof In or Ga with depth in the absorbing *** variation of the lattice parameters was due to the difference between the ionic radius of In and Ga co-occupying at the same crystallographic *** to the results of the depth profile of the refined parameters using GIXRD data,the bandgap of the CIGS absorber layer was graded over a range of 1.222-1.532 *** approach allows to determine the In or Ga gradients in the CIGS absorbing layer,and to nondestructively guess the bandgap depth profile through the refinement of the lattice parameters using GIXRD data on the assumption that the changes of the lattice parameters or unit-cell volume follow a good approximation to Vegard’s law.

关键词： Cu(In1-xGax)Se2 absorbing layer Depth profile Glancing incidence X-ray diffraction technique Bandgap grading Vegard’s law

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Analysis of Feature Importance and Interpretation for Malware Classification

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Computers, Materials & Continua 2020年第12期65卷 1891-1904页

作者： Dong-Wook kim gun-Yoon Shin Myung-Mook Han Department of Computer Engineering Gachon UniversitySungnam-si13120Korea Department of Software Gachon UniversitySungnam-si13120Korea

This study was conducted to enable prompt classification of malware,which was becoming increasingly *** do this,we analyzed the important features of malware and the relative importance of selected features according to a learning model to assess how those important features were ***,the analysis features were extracted using Cuckoo Sandbox,an open-source malware analysis tool,then the features were divided into five categories using the extracted *** 804 extracted features were reduced by 70%after selecting only the most suitable ones for malware classification using a learning model-based feature selection method called the recursive feature ***,these important features were *** level of contribution from each one was assessed by the Random Forest classifier *** results showed that System call features were mostly *** the end,it was possible to accurately identify the malware type using only 36 to 76 features for each of the four types of malware with the most analysis samples *** were the Trojan,Adware,Downloader,and Backdoor malware.

关键词： Recursive feature elimination model interpretability feature importance malware classification

Unknown Attack Detection:Combining Relabeling and Hybrid Intrusion Detection

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Computers, Materials & Continua 2021年第9期68卷 3289-3303页

作者： gun-Yoon Shin Dong-Wook kim Sang-Soo kim Myung-Mook Han Department of Computer Engineering Gachon UniversitySungnam-si13120Korea Agency for Defense Development Songpa Seoul05661Korea Department of Software Gachon UniversitySungnam-si13120Korea

Detection of unknown attacks like a zero-day attack is a research field that has long been ***,advances in Machine Learning(ML)and Artificial Intelligence(AI)have led to the emergence of many kinds of attack-generation tools developed using these technologies to evade detection *** detection and misuse detection are the most commonly used techniques for detecting intrusion by unknown *** anomaly detection is adequate for detecting unknown attacks,its disadvantage is the possibility of high false *** detection has low false alarms;its limitation is that it can detect only known *** overcome such limitations,many researchers have proposed a hybrid intrusion detection that integrates these two detection *** method can overcome the limitations of conventional methods and works better in detecting unknown ***,this method does not accurately classify attacks like similar to normal or known ***,we proposed a hybrid intrusion detection to detect unknown attacks similar to normal and known *** anomaly detection,the model was designed to perform normal detection using Fuzzy c-means(FCM)and identify attacks hidden in normal predicted data using *** misuse detection,the model was designed to detect previously known attacks using Classification and Regression Trees(CART)and apply Isolation Forest(iForest)to classify unknown attacks hidden in known *** an experiment result,the application of relabeling improved attack detection accuracy in anomaly detection by approximately 11%and enhanced the performance of unknown attack detection in misuse detection by approximately 10%.

关键词： Unknown attack hybrid intrusion detection fuzzy c-means relabeling CART iForest

Effects of ozonation and coagulation on effluent organic matter characteristics and ultrafiltration membrane fouling

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Journal of Environmental Sciences 2014年第6期26卷 1325-1331页

作者： Kwon Jeong Dae-Sung Lee Do-gun kim Seok-Oh Ko Department of Civil Engineering Kyung Hee UniversityYongin 446-701 Korea Institute of Construction Technology KUMHO Engineering & ConstructionYongin 449-822 Korea

Effluent organic matter （EfOM） is the major cause of fouling in the low pressure membranes process for wastewater reuse. Coagulation and oxidation of biological wastewater treatment effluent have been applied for the fouling control of microfiltration membranes. However, the change in EfOM structure by pre-treatments has not been clearly identified. The changes of EfOM characteristics induced by coagulation and ozonation were investigated through size exclusion chromatography, UV/Vis spectrophotometry, fluorescence spectrophotometry and titrimetric analysis to identify the mechanisms in the reduction of ultrafiltration （UF） membrane fouling. The results indicated that reduction of flux decline by coagulation was due to modified characteristics of dissolved organic carbon （DOC） content. Total concentration of DOC was not reduced by ozonation. However, the mass fraction of the molecules with molecular weight larger than 5 kDa, fluorescence intensity, aromaticity, highly condensed chromophores, average molecular weight and soluble microbial byproducts decreased greatly after ozonation. These results indicated that EfOM was partially oxidized by ozonation to low molecular weight, highly charged compounds with abundant electron- withdrawing functional groups, which are favourable for alleviating UF membrane flux decline.

关键词： effluent organic matter fouling ultrafiltration oxidation molecular weight distribution acidity

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Optimization of an Artificial Intelligence Database and Camera Installation for Recognition of Risky Passenger Behavior in Railway Vehicles

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Computers, Materials & Continua 2025年第1期82卷 1277-1293页

作者： Min-kyeong kim Yeong Geol Lee Won-Hee Park Su-hwan Yun Tae-Soon Kwon Duckhee Lee Railroad Test&Certification Division Korea Railroad Research Institute(KRRI)Cheoldo BangmulgwanroUiwang-si16105Republic of Korea Railroad Safety Division Korea Railroad Research Institute(KRRI)Cheoldo BangmulgwanroUiwang-si16105Republic of Korea

Urban railways are vital means of public transportation in *** than 30%of metropolitan residents use the railways,and this proportion is expected to *** enhance safety,the government has mandated the installation of closed-circuit televisions in all carriages by ***,cameras still monitored *** address this limitation,we developed a dataset of risk factors and a smart detection system that enables an immediate response to any abnormal behavior and intensive monitoring *** created an innovative learning dataset that takes into account seven unique risk factors specific to Korean railway *** data collection was conducted across the Shinbundang Line of the Incheon Transportation Corporation,and the Ui-Shinseol *** observed several behavioral characteristics and assigned unique annotations to *** also considered carriage *** performance was evaluated by camera placement and *** the camera installation plan was *** dataset will find immediate applications in domestic railway *** artificial intelligence algorithms will be verified shortly.

关键词： AI railway vehicle risk factor smart detection AI training data

Logic-in-memory cell enabling binary and ternary Boolean logics

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Science China(Information Sciences) 2025年

作者： Jeongyun OH Juhee JEON Yunwoo SHIN Kyougah CHO Sangsig kim Department of Electrical Engineering Korea University

In computing systems, processing and memory units have been integrated into logic-in-memory (LiM) to enhance the computational efficiency and performance. LiM has been attempted to perform not only binary but also ternary logic functions, which reduces computing complexity. Herein, we demonstrate a binary and ternary LiM (BT-LiM) cell with eight triple-gated (TG) feedback field-effect transistors (FBFETs) reconfigured into n-or p-channel modes. The TG FBFETs exhibit symmetrical latch-up voltages and an on-current ratio of 1.02 between the n-and p-channel modes, which indicates a high potential for reconfigurable logic applications. The BT-LiM cell can perform YES, NOT, AND, OR, NAND, NOR, XNOR, and XOR logic functions in a single cell because of these reconfigurable characteristics. Further, binary and ternary logic functions are realized in the cell without a programming stage, and the cell maintains the results of the logic functions under zero-bias conditions. This study achieves multifunctional LiM that can operate all binary and ternary Boolean logics.

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Remote Navigation of Turtle by Controlling Instinct Behavior via Human Brain-computer Interface

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Journal of Bionic Engineering 2016年第3期13卷 491-503页

作者： Cheol-Hu kim Bongjae Choi Dae-gun kim Serin Lee Sungho Jo Phill-Seung Lee Department of Mechanical Engineering Korea Advanced Institute of Science and Technology (KAIST) 373-1 Guseong-dong Yuseong-gu Daejeon 34141 Republic of Korea School of Computing Science Korea Advanced Institute of Science and Technology (KAIST) 373-1 Guseong-dong Yuseong-gu Daejeon 34141 Republic of Korea Instituteforlnfocomm Research 1 Fusionopolis Way #21-01 Connexis (South Tower) 138632 Singapore

Brain-Computer Interface （BCI） techniques have advanced to a level where it is now eliminating the need lor hand-based activation. This paper presents a novel attempt to remotely control an animal＇s behavior by human BCI using a hybrid of Event Related Desynchronization （ERD） and Steady-State Visually Evoked Potential （SSVEP） BCI protocols. The turtle was chosen as the target animal, and we developed a head-mounted display, wireless communication, and a specially designed stimulation device for the turtle. These devices could evoke the turtle＇s instinctive escape behavior to guide its moving path, and turtles were remotely controlled in both indoor and outdoor environments. The system architecture and design were presented. To demon- strate the feasibility of the system, experimental tests were performed under various conditions. Our system could act as a framework for future human-animal interaction systems.

关键词： brain-computer interface turtle (Trachemys scripta elegans) remote navigation instinct behaviour escape be- havior