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Notes on the Incompressible Euler and Related Equations on R^N

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Chinese Annals of Mathematics,Series B 2009年第5期30卷 513-526页

作者： dongho CHAE Department of Mathematics Sungkyunkwan University

The author reviews briefly some of the recent results on the blow-up problem for the incompressible Euler equations on RN,and also presents Liouville type theorems for the incompressible and compressible fluid equations.

关键词： Euler equations Navier-Stokes equations Liouville theorem

Deobfuscating Mobile Malware for Identifying Concealed Behaviors

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Computers, Materials & Continua 2022年第9期72卷 5909-5923页

作者： dongho Lee Geochang Jeon Sunjun Lee Haehyun Cho Soongsil University Seoul06978Korea

The smart phone market is continuously increasing and there are more than 6 billion of smart phone users worldwide with the aid of the 5G *** them Android occupies 87%of the market ***,the widespread Android smartphones has drawn the attention of the attackers who implement and spread ***,currently the number of malware targeting Android mobile phones is ever ***,it is a critical task to find and detect malicious behaviors of malware in a timely ***,unfortunately,attackers use a variety of obfuscation techniques for malware to evade or delay *** an obfuscation technique such as the class encryption is applied to a malicious application,we cannot obtain any information through a static analysis regarding its malicious ***,we need to rely on the manual,dynamic analysis to find concealed malicious behaviors from obfuscated *** avoid malware spreading out in larger scale,we need an automated deobfuscation approach that accurately deobfuscates obfuscated malware so that we can reveal hidden malicious *** this study,we introduce widely-used obfuscation techniques and propose an effective deobfuscation method,named ARBDroid,for automatically deobfuscating the string encryption,class encryption,and API hiding *** evaluation results clearly demonstrate that our approach can deobfuscate obfuscated applications based on dynamic analysis results.

关键词： Android obfuscation deobfuscation android reversing

Cancer stem cell markers CD133 and CD24 correlate with invasiveness and differentiation in colorectal adenocarcinoma

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World Journal of Gastroenterology 2009年第18期15卷 2258-2264页

作者： dongho Choi Hyo won Lee Kyung Yul Hur Jae Joon Kim Gyeong-Sin Park Si-Hyong Jang Young Soo Song Ki-Seok Jang Seung Sam Paik Department of Surgery College of MedicineSoonchunhyang University140-743 SeoulSouth Korea Department of Surgery Chi Hang Hospital140-741 SeoulSouth Korea Department of Pathology College of MedicineCatholic University137-040 SeoulSouth Korea Department of Pathology College of MedicineHanyang University133-790 SeoulSouth Korea

AIM:To verify that CD markers are available for detecting cancer stem cell populations and to evaluate their clinical significance in colon ***:Immunohistochemistry for CD133,CD24 and CD44 was performed on the tissue microarray of 523 colorectal *** records were reviewed and clinicopathological analysis was ***:In colorectal adenocarcinoma,128 of 523 cases(24.5%) were positive and 395 cases(75.5%) were negative for CD133 *** hundred and sixty-four of 523 cases(50.5%) were positive and 259 cases(49.5%) were negative for CD24 *** hundred and two of 523 cases(96%) were negative and 21 cases(4%) were positive for CD44 *** clinicopathological analysis,CD133 expression was present more in male patients(P = 0.002) and in advanced T stage cancer(P = 0.024).Correlation between CD24 expression and clinicopathological factors was seen in the degree of differentiation(P = 0.006).Correlation between CD44 expression and clinicopathological factors was seen in the tumor size(P = 0.001).Survival was not significantly related to CD133,CD24 and CD44 ***:CD markers were related to invasiveness and differentiation of colorectal ***,CD expression was not closely related to survival.

关键词： CD133 CD24 CD44 Colon cancer stemcells Colorectal adenocarcinoma

Statistical Methods for Classification of Medicinal Plants

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Journal of Chemistry and Chemical Engineering 2014年第7期8卷 698-706页

作者： Dong Hyuk Lee dongho Lee Jae won Lee Department of Statistics Korea University Seoul 136-701 Republic of Korea Department of Biosystems and Biotechnology Korea University Seoul 136-713 Republic of Korea

Statistical classification methods are frequently applied to analyze metabolomics data, especially from medicinal plants. Combined with variable selection techniques, we are able to identify marker candidates, which can be used to discriminate the group to which unknown subjects belong. After preprocessing, such as outlier checking, normalization, missing value imputation and transformation, we then mainly utilized four novel classification methods： RF （random forest）, NSC （nearest shrunken centroid）, PLS-DA （partial least square discriminant analysis） and SAM （significant analysis ofmicroarrays）. Each method has its own device to measure the importance of single metabolite, so that, it is probable to choose highly ranked metabolites, which show the best prediction accuracy. Adapting above strategy, we have successfully analyzed several kinds of metabolomics data including Panax ginseng, Lespedeza species, Anemarrhean asphodeloides and Gastrodia elata.

关键词： Statistical classification variable selection multivariate analysis.

Discovery of antitumor diterpenoids from Casearia graveolens targeting VEGFR-2 to inhibit angiogenesis

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Chinese Journal of Natural Medicines 2024年第9期22卷 842-853页

作者： WANG Sibei LIU Yuhui LIANG Yue XI Yaru ZHAI Yupeng LEE dongho XU Jing GUO Yuanqiang State Key Laboratory of Medicinal Chemical Biology College of Pharmacyand Tianjin Key Laboratory of Molecular Drug ResearchNankai UniversityTianjin 300350China State Key Laboratory of Functions and Applications of Medicinal Plants Guizhou Medical UniversityGuiyang 550014China Department of Plant Biotechnology College of Life Sciences and BiotechnologyKorea UniversitySeoul 02841South Korea

Eight novel clerodane diterpenoids(1-8)were isolated from the twigs of Casearia *** structures were elucidated through comprehensive nuclear magnetic resonance(NMR),high-resolution electrospray ionization mass spectrometry(HRESI-MS),and electronic circular dichroism(ECD)*** addition to structural determination,surface plasmon resonance(SPR)assays were conducted to investigate molecular interactions,revealing that compound 8 exhibited high affinity for vascular endothelial growth factor receptor 2(VEGFR2),a key regulator of tumor *** in vivo experiments demonstrated that compound 8 effectively inhibited angiogenesis and displayed significant antitumor activity by suppressing tumor proliferation and metastasis in zebrafish xenograft *** findings suggest that compound 8 holds promise as an anticancer lead compound targeting VEGFR-2 to obstruct tumor angiogenesis.

关键词： Clerodane diterpenoids Casearia graveolens Surface plasmon resonance Vascular endothelial growth factor receptor 2 Antitumor activity Zebrafish

Different intraoperative decisions for undiagnosed paraganglioma:Two case reports

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World Journal of Clinical Cases 2022年第30期10卷 11059-11065页

作者： dongho Kang Bo-eun Kim Minjae Hong Joungmin Kim Seongtae Jeong Seongheon Lee Department of Anesthesiology and Pain Medicine Chonnam National University Medical SchoolChonnam National University HospitalGwangju 61469South Korea

BACKGROUND Paragangliomas may be preoperatively misdiagnosed as non-functioning retroperitoneal tumors and are sometimes suspected only at the time of intraoperative *** preoperative alpha blockade preparation,a hypertensive crisis during tumor manipulation and hypotension after tumor removal may result in critical ***,primary consideration should be given to the continuation or discontinuation of surgery on the basis of the possibility of gentle surgical manipulation and hemodynamic *** report two cases of paragangliomas detected *** SUMMARY A 65-year-woman underwent laparoscopic small-bowel wedge resection.A hypertensive crisis occurred during manipulation of the mass,and an unrecognized catecholamine-producing paraganglioma was *** surgeon and anesthesiologists believed that tumor excision could be performed with minimal manipulation of the tumor because the tumor was in a favorable *** hemodynamic instability did not occur with aggressive use of vasoactive drugs.A week later,a 54-year-man underwent open resection of a 3-cm-sized retroperitoneal mass and showed the same findings during mass *** this patient,continuous manipulation of the mass seemed inevitable due to adhesion between the right adrenal gland and the mass in a narrow surgical *** surgeon and anesthesiologists decided to cancel the surgical procedure and planned to perform a reoperation after alpha blockade *** weeks later,the tumor was uneventfully removed with small doses of vasoactive *** When an undiagnosed paraganglioma is suspected intraoperatively,reoperation after adequate preparation should be considered as an option to avoid fatal outcomes.

关键词： Paraganglioma Undiagnosed diseases Hypertensive crisis Preoperative alpha blockade Surgery cancellation Neuroendocrine tumors Case report

A Two-Tier Framework Based on GoogLeNet and YOLOv3 Models for Tumor Detection in MRI

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Computers, Materials & Continua 2022年第7期72卷 73-92页

作者： Farman Ali Sadia Khan Arbab Waseem Abbas Babar Shah Tariq Hussain dongho Song Shaker EI-Sappagh Jaiteg Singh Department of Software Sejong UniversitySeoul05006Korea Institute of Computer Sciences&Information Technology The University of AgriculturePeshawar25130Pakistan College of Technological Innovation Zayed UniversityDubai19282UAE Department of Software Korea Aerospace UniversitySeoul10540Korea Faculty of Computer Science and Engineering Galala UniversitySuez435611Egypt Information Systems Department Faculty of Computers and Artificial IntelligenceBenha UniversityBanha13518Egypt Chitkara University Institute of Engineering&Technology Chitkara UniversityRajpura140401India

Medical Image Analysis(MIA)is one of the active research areas in computer vision,where brain tumor detection is the most investigated domain among researchers due to its deadly *** tumor detection in magnetic resonance imaging(MRI)assists radiologists for better analysis about the exact size and location of the ***,the existing systems may not efficiently classify the human brain tumors with significantly higher *** addition,smart and easily implementable approaches are unavailable in 2D and 3D medical images,which is the main problem in detecting the *** this paper,we investigate various deep learning models for the detection and localization of the tumor in MRI.A novel twotier framework is proposed where the first tire classifies normal and tumor MRI followed by tumor regions localization in the second ***,in this paper,we introduce a well-annotated dataset comprised of tumor and normal *** experimental results demonstrate the effectiveness of the proposed framework by achieving 97%accuracy using GoogLeNet on the proposed dataset for classification and 83%for localization tasks after finetuning the pre-trained you only look once(YOLO)v3 model.

关键词： Tumor localization MRI Image classification GoogLeNet YOLOv3

Retrieval of the Single Scattering Albedo of Asian Dust Mixed with Pollutants Using Lidar Observations

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Advances in Atmospheric Sciences 2014年第6期31卷 1417-1426页

作者： Sungkyun SHIN Young Min NOH Kwonho LEE Hanlim LEE Detlef MLLER Y.J.KIM Kwanchul KIM dongho SHIN School of Environmental Science and Engineering Gwangju Institute of Science and TechnologyKorea Department of Geoinformatics Engineering Kyungil UniversityKorea Department of Spatial Information Engineering Pukyong National UniversityKorea Science System and Applications Inc. NASA Langley Research CenterUSA University of Hertfordshire United Kingdom

The vertical distribution of single scattering albedos （SSAs） of Asian dust mixed with pollutants was derived using the multi-wavelength Raman lidar observation system at Gwangju （35.10°N,126.53°E）.Vertical profiles of both backscatter and extinction coefficients for dust and non-dust aerosols were extracted from a mixed Asian dust plume using the depolarization ratio from lidar *** profiles of backscatter and extinction coefficients of non-dust particles were input into an inversion algorithm to retrieve the SSAs of non-dust *** aerosol layers at different heights had different light-absorbing *** SSAs of non-dust particles at each height varied with aerosol type,which was either urban/industrial pollutants from China transported over long distances at high altitude,or regional/local pollutants from the Korean *** advantage of independent profiles of SSAs of non-dust particles,vertical profiles of SSAs of Asian dust mixed with pollutants were estimated for the first time,with a new approach suggested in this study using an empirical determination of the SSA of pure *** SSAs of the Asian dust-pollutants mixture within the planetary boundary layer （PBL） were in the range 0.88-0.91,while the values above the PBL were in the range 0.76-0.87,with a very low mean value of 0.76 ± *** total mixed dust plume SSAs in each aerosol layer were integrated over height for comparison with results from the Aerosol Robotics Network （AERONET） *** of SSA retrieved from lidar observations of 0.92 ± 0.01 were in good agreement with the results from AERONET measurements.

关键词： lidar Asian dust depolarization ratio microphysical properties single scattering albedo

Spectroscopic diagnosis of excited-state aromaticity:Capturing electronic structures and conformations upon aromaticity reversal

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Spectroscopic diagnosis of excited-state aromaticity:Capturi...