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A New Encryption Mechanism Supporting the Update of Encrypted Data for Secure and Efficient Collaboration in the Cloud Environment

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 813-834页

作者： Chanhyeong Cho Byeori kim Haehyun Cho taek-young youn Department of Cyber Security Dankook UniversityYongin16890Republic of Korea Department of Software Soongsil UniversitySeoul07027Republic of Korea

With the rise of remote collaboration,the demand for advanced storage and collaboration tools has rapidly ***,traditional collaboration tools primarily rely on access control,leaving data stored on cloud servers vulnerable due to insufficient *** paper introduces a novel mechanism that encrypts data in‘bundle’units,designed to meet the dual requirements of efficiency and security for frequently updated collaborative *** bundle includes updated information,allowing only the updated portions to be reencrypted when changes *** encryption method proposed in this paper addresses the inefficiencies of traditional encryption modes,such as Cipher Block Chaining(CBC)and Counter(CTR),which require decrypting and re-encrypting the entire dataset whenever updates *** proposed method leverages update-specific information embedded within data bundles and metadata that maps the relationship between these bundles and the plaintext *** utilizing this information,the method accurately identifies the modified portions and applies algorithms to selectively re-encrypt only those *** approach significantly enhances the efficiency of data updates while maintaining high performance,particularly in large-scale data *** validate this approach,we conducted experiments measuring execution time as both the size of the modified data and the total dataset size *** show that the proposed method significantly outperforms CBC and CTR modes in execution speed,with greater performance gains as data size ***,our security evaluation confirms that this method provides robust protection against both passive and active attacks.

关键词： Cloud collaboration mode of operation data update efficiency

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Human Rights and Social Stigma Review for Leprosy Patients in Korea

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Advances in Infectious Diseases 2021年第1期11卷 73-83页

作者： Seungshin Lee David Ahn Justin kim Cathy Park Kunmin kim Alice kim Chae Eun kim Jisu Shin Timothy Cho Jonathan Jo David Park tae youn kim Paul S. Chung School of Medicine University of California Irvine CA USA Youth with Talents Fairfax VA USA Fuzbien Technology Institute Rockville MD USA

Leprosy is a chronic disease caused by a low multiplying bacillus, Mycobacterium leprae, which primarily affects the skin and the extremities. Multidrug therapy (MDT) and Bacillus Calmette-Guérin (BCG) vaccinations are effective at treatment of the disease, but social misconceptions about the disease inhibit efficient health care for affected individuals. In South Korea, leprosy patients face social, economic, and political discrimination. Korean leprosy patients are isolated into Sorokdo island and face challenges such as difficulty receiving education and limited job opportunities. Leprosy cognitively, emotionally, and socially impacts patients’ lives, and represents a serious social inequality issue. To raise awareness, dispel myths about the disease, and to end patient discrimination that destroys families, we conducted case studies based on scientific journals. The paper specifically focuses on difficulties faced by Korean leprosy patients, and subsequent initiatives by the government to aid patients. To reach the WHO’s target of health and wellbeing for all by 2030, we need to educate the masses about leprosy and address relevant social inequality issues.

关键词： Leprosy Sorokdo

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An Assessment of the Social, Cultural, and Economical Barriers to Option B+Retention and Their Solutions in Malawi: A Review

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World Journal of AIDS 2021年第1期11卷 15-24页

作者： Jamie Yoon David S. Chung Michelle kim Kunmin kim Sang Heon Lee tae youn kim Hark Joon Lee Seog In Moon Jooheon Park Paul S. Chung Thomas Nyirenda School of Medical Boston University Boston USA Edward Via College of Osteopathic Medicine Blacksburg USA School of Medicine University of Virginia Charlottesville USA Youth with Talents Fairfax USA Department of Art & Science Biology Johns Hopkins University Baltimore USA Clinical Research Education and Management Service Lilongwe Malawi

Malawi has one of the highest rates of HIV prevalence in the world, and accounts for 4% of the total number of people living in sub-Saharan Africa with HIV. Approximately one million people in Malawi were living with HIV in 2016, with 24,000 HIV-related deaths. The Option B+ program, first implemented in Malawi, aimed to initiate ART for all pregnant women, regardless of their CD4 cell count or disease stage. This study serves to analyze and assess the effectiveness of Option B+ retention, in relation to the facilitation of how various social and cultural barriers were handled. A literature review of 29 publications was conducted. Careful evaluation of various studies indicates that although there is a myriad of reasons explaining low levels of retention, the women who were at the highest risk for low retention were young pregnant women who were treated on the same day of HIV-diagnosis. Solutions focused around women and their partners or communities showed promising evidence of success in increasing adherence, as these strategies likely provided women reliable social and emotional support to address major barriers to retention such as a lack of support from male partners, ineffective education from healthcare workers, or stigma towards their HIV disclosure statue.

关键词： HIV Option B+ Malawi Retention CHTC PMTCT

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Ultra‑Transparent and Multifunctional IZVO Mesh Electrodes for Next‑Generation Flexible Optoelectronics

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Nano-Micro Letters 2025年第1期17卷 293-309页

作者： Kiran A.Nirmal Tukaram D.Dongale Atul C.Khot Chenjie Yao Nahyun kim tae Geun kim School of Electrical Engineering Korea UniversityAnam‑ro 145Seongbuk‑guSeoulRepublic of Korea Computational Electronics and Nanoscience Research Laboratory School of Nanoscience and BiotechnologyShivaji UniversityKolhapur 416004India

Mechanically durable transparent electrodes are essential for achieving long-term stability in flexible optoelectronic ***,they are crucial for applications in the fields of energy,display,healthcare,and soft *** meshes represent a promising alternative to traditional,brittle,metal oxide conductors due to their high electrical conductivity,optical transparency,and enhanced mechanical *** this paper,we present a simple method for fabricating an ultra-transparent conducting metal oxide mesh electrode using selfcracking-assisted *** this method,we produced an electrode with ultra-transparency(97.39%),high conductance(Rs=21.24Ωsq^(−1)),elevated work function(5.16 eV),and good mechanical *** also evaluated the effectiveness of the fabricated electrodes by integrating them into organic photovoltaics,organic light-emitting diodes,and flexible transparent memristor devices for neuromorphic computing,resulting in exceptional device *** addition,the unique porous structure of the vanadium-doped indium zinc oxide mesh electrodes provided excellent flexibility,rendering them a promising option for application in flexible optoelectronics.

关键词： Self-cracking template Vanadium-doped indium zinc oxide mesh Organic solar cells Organic light-emitting diodes Flexible transparent memory

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Comprehensive molecular characterization to predict immunotherapy response in advanced biliary tract cancer:a phase II trial of pembrolizumab

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Oncology Research 2025年第1期33卷 57-65页

作者： RYUL kim JOO KYUNG PARK MINSUK KWON MINAE AN JUNG YONG HONG JOON OH PARK SUNG HEE LIM SEUNG tae kim Division of Hematology-Oncology Department of MedicineSamsung Medical CenterSungkyunkwan University School of MedicineSeoulKorea Division of Gastroenterology Department of MedicineSamsung Medical CenterSungkyunkwan University School of MedicineSeoulKorea Department of Hematology-Oncology Ajou University School of MedicineSuwon-siGyeonggi-doKorea Samsung Advanced Institute of Health Science and Technology Sungkyunkwan University School of MedicineSeoulKorea

Background:Immune checkpoint inhibitors(ICIs)are effective in a subset of patients with metastatic solid ***,the patients who would benefit most from ICIs in biliary tract cancer(BTC)are still *** and methods:We molecularly characterized tissues and blood from 32 patients with metastatic BTC treated with the ICI pembrolizumab as second-line ***:All patients had microsatellite stable(MSS)type *** of the 32 patients achieved partial response(PR),with an objective response rate(ORR)of 9.4%(95%confidence interval[CI],2.0–25.2)and nine showed stable disease(SD),exhibiting a disease control rate(DCR)of 37.5%(95%CI,21.1–56.3).For the 31 patients who had access to PD-1 ligand 1(PD-L1)combined positive score(CPS)testing(cut-off value≥1%),the ORR was not different between those who had PD-L1-positive(PD-L1+;1/11,9.1%)and PDL1-(2/20,10.0%)tumors(p=1.000).The tumor mutational burden(TMB)of PD-L1+BTC was comparable to that of PD-L1-BTC(p=0.630).TMB and any exonic somatic mutations were also not predictive of pembrolizumab *** analysis of blood and tumor samples demonstrated a relatively high natural killer(NK)cell proportion in the peripheral blood before pembrolizumab treatment in patients who achieved tumor ***,the tumors of these patients presented high enrichment scores for NK cells,antitumor cytokines,and Th1 signatures,and a low enrichment score for cancer-associated ***:This study shows the molecular characteristics associated with the efficacy of pembrolizumab in BTC of the MSS type.

关键词： Pembrolizumab Whole-exome sequencing Whole-transcriptome sequencing Biliary tract cancer

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Machine learning empowers efficient design of ternary organic solar cells with PM6 donor

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Journal of Energy Chemistry 2025年第1期100卷 337-347页

作者： Kiran A.Nirmal Tukaram D.Dongale Santosh S.Sutar Atul C.Khot tae Geun kim School of Electrical Engineering Korea University Computational Electronics and Nanoscience Research Laboratory School of Nanoscience and Biotechnology Shivaji University Yashwantrao Chavan School of Rural Development Shivaji University

Organic solar cells(OSCs) hold great potential as a photovoltaic technology for practical ***, the traditional experimental trial-and-error method for designing and engineering OSCs can be complex, expensive, and time-consuming. Machine learning(ML) techniques enable the proficient extraction of information from datasets, allowing the development of realistic models that are capable of predicting the efficacy of materials with commendable accuracy. The PM6 donor has great potential for high-performance OSCs. However, it is crucial for the rational design of a ternary blend to accurately forecast the power conversion efficiency(PCE) of ternary OSCs(TOSCs) based on a PM6 ***, we collected the device parameters of PM6-based TOSCs and evaluated the feature importance of their molecule descriptors to develop predictive models. In this study, we used five different ML algorithms for analysis and prediction. For the analysis, the classification and regression tree provided different rules, heuristics, and patterns from the heterogeneous dataset. The random forest algorithm outperforms other prediction ML algorithms in predicting the output performance of PM6-based TOSCs. Finally, we validated the ML outcomes by fabricating PM6-based TOSCs. Our study presents a rapid strategy for assessing a high PCE while elucidating the substantial influence of diverse descriptors.

关键词： Random forests

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Prominent cycling reversibility and kinetics enabled by CaTiO3 protective layer on Zn metal for aqueous Zn-ion batteries

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Journal of Energy Chemistry 2025年第1期100卷 245-258页

作者： Gaeun Lee Yong Nam Ahn Seongjoon So Chanwoo Park Jong-Seong Bae taehyun Park Il tae kim Jaehyun Hur School of Chemical Biological and Battery Engineering Gachon University Seongnam Busan Center Korea Basic Science Institute

Aqueous Zn-ion batteries （AZIBs） have received considerable attention owing to their various advantages such as safety,low cost,simple battery assembly conditions,and high ionic ***,they still suffer from serious problems,including uncontrollable dendrite growth,corrosion,hydrogen evolution reaction （HER） from water decomposition,electrode passivation,and unexpected *** creation of a uniform artificial nanocrystal layer on the Zn anode surface is a promising strategy for resolving these ***,we propose the use of a perovskite CaTiO3（CTO） protective layer on Zn（CTO@Zn） as a promising approach for improving the performance of *** CTO artificial layer provides an efficient pathway for Zn ion diffusion towards the Zn metal because of the high dielectric constant （εr=180） and ferroelectric characteristics that enable the alignment of dipole moments and redistribute the Zn2+ions in the CTO *** avoiding the direct contact of the Zn anode with the electrolyte solution,the uneven dendrite growth,corrosion,parasitic side reactions,and HER are mitigated,while CTO retains its mechanical and chemical robustness during ***,CTO@Zn demonstrates an improved lifespan in a symmetric cell configuration compared with bare ***@Zn shows steady overpotential （～68 m V） for 1500 h at 1 mA cm-2/0.5 mA h cm-2,excelling bare ***,when paired with the V2O5-C cathode,the CTO@Zn//V2O5-C full battery delivers 148.4 mA h g-1（based on the mass of the cathode） after 300 *** study provides new insights into Zn metal anodes and the development of high-performance AZIBs.

关键词： Perovskite

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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

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PopFlow:a novel flow management scheme for SDN switch of multiple flow tables based on flow popularity

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Frontiers of Computer Science 2020年第6期14卷 111-122页

作者： Cheng WANG Kyung tae kim Hee Yong youn College of Electrical and Computer Engineering Sungkyunkwan UniversitySuwon 16419Korea College of Software Sungkyunkwan UniversitySuwon 16419Korea

Pipeline processing is applied to mutiple flow tables(MFT)in the switch of software-defined network(SDN)to increase the throughput of the ***,the processing time of each flow increases as the size or number of flow tables gets *** this paper we propose a novel approach called PopFlow where a table keeping popular flow entries is located up front in the pipeline,and an express path is provided for the flow matching the table.A Markov model is employed for the selection of popular entries considering the match latency and match frequency,and Queuing theory is used to model the flow processing time of the existing MFT-based schemes and the proposed *** simulation reveals that the proposed scheme substantially reduces the flow processing time compared to the existing schemes,and the diference gets more significant as the flow arrival rate increases.

关键词： edge computing SDN pipeline processing PopFlow match frequency and latency markov model-based prediction

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Functional Insights of Plant GSK3-like Kinases： Multi-Taskers in Diverse Cellular Signal Transduction Pathways

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Molecular Plant 2015年第4期8卷 552-565页

作者： Ji-Hyun youn tae-Wuk kim Department of Life Science College of Natural Sciences Hanyang University Seou1133-791 Korea Naturat Science Institute Hanyang University Seou1133-791 Korea

The physiological importance of GSK3-like kinases in plants emerged when the functional role of plant GSK3-like kinases represented by BIN2 was first elucidated in the brassinosteroid （BR）-regulated signal transduction pathway. While early studies focused more on understanding how GSK3-like kinases regulate BR signaling, recent studies have implicated many novel substrates of GSK3-like kinases that are involved in a variety of cellular processes as well as BR signaling. Plant GSK3-like kinases play diverse roles in physiological and developmental processes such as cell growth, root and stomatal cell development, flower development, xylem differentiation, light response, and stress responses. Here, we review the progress made in recent years in understanding the versatile functions of plant GSK3-like kinases. Based on the relationship between GSK3-like kinases and their newly identified substrates, we discuss the physiological and biochemical relevance of various cellular signaling mediated by GSK3-like kinases in plants.

关键词： GSK3-like kinases brassinosteroids signal transduction pathway Arabidopsis rice

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