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Improving Thyroid Disorder Diagnosis via Ensemble Stacking and Bidirectional Feature Selection

Computers, Materials & Continua 2024年第3期78卷 4225-4241页

作者： Muhammad Armghan Latif Zohaib Mushtaq Saad Arif Sara Rehman Muhammad Farrukh Qureshi Nagwan Abdel Samee Maali Alabdulhafith yeong hyeon gu Mohammed A.Al-masni Department of Computer and Information System Cleveland State UniversityOhio44115USA Department of Electrical Electronics and Computer SystemsCollege of Engineering and TechnologyUniversity of SargodhaSargodha40100Pakistan Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Biomedical Engineering Riphah International UniversityIslamabad44000Pakistan Department of Electrical Engineering Riphah International UniversityIslamabad44000Pakistan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Artificial Intelligence College of Software and Convergence TechnologySejong UniversitySeoul05006Korea

Thyroid disorders represent a significant global health challenge with hypothyroidism and hyperthyroidism as two common conditions arising from dysfunction in the thyroid *** and timely diagnosis of these disorders is crucial for effective treatment and patient *** research introduces a comprehensive approach to improve the accuracy of thyroid disorder diagnosis through the integration of ensemble stacking and advanced feature selection *** forward feature selection,sequential backward feature elimination,and bidirectional feature elimination are investigated in this *** ensemble learning,random forest,adaptive boosting,and bagging classifiers are *** effectiveness of these techniques is evaluated using two different datasets obtained from the University of California Irvine-Machine Learning Repository,both of which undergo preprocessing steps,including outlier removal,addressing missing data,data cleansing,and feature *** experimentation demonstrates the remarkable success of proposed ensemble stacking and bidirectional feature elimination achieving 100%and 99.86%accuracy in identifying hyperthyroidism and hypothyroidism,*** enhancing detection accuracy,the ensemble stacking model also demonstrated a streamlined computational complexity which is pivotal for practical medical *** significantly outperformed existing studies with similar objectives underscoring the viability and effectiveness of the proposed *** research offers an innovative perspective and sets the platform for improved thyroid disorder diagnosis with broader implications for healthcare and patient well-being.

关键词： Ensemble learning random forests boosting dimensionality reduction machine learning smart healthcare computer aided diagnosis

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Adaptive Electrospinning System Based on Reinforcement Learning for Uniform‑Thickness Nanofiber Air Filters

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Advanced Fiber Materials 2023年第2期5卷 617-631页

作者： Seok hyeon Hwang Jin yeong Song Hyun Il Ryu Jae Hee Oh Seungwook Lee Donggeun Lee Dong Yong Park Sang Min Park School of Mechanical Engineering Pusan National University63‑2 Busan University‑roGeumjeong‑guBusan 46241South Korea Smart Manufacturing Technology R&D Group Korea Institute of Industrial Technology320 Techno Sunhwan‑roYuga‑eupDalseong‑gunDaegu 42994Republic of Korea

Electrospinning is a simple and versatile method to produce nanofiber ***,owing to bending instability that occurs during the electrospinning process,electrospinning has frequently produced a non-uniform-thickness nanofiber filter,which deteriorates its air ***,an adaptive electrospinning system based on reinforcement learning(E-RL)was developed to produce uniform-thickness nanofiber *** E-RL accomplished a real-time thickness measurement of an electrospun nanofiber filter by measuring the transmitted light through the nanofiber filter using a camera placed at the bottom of the collector and converting it into thickness using the Beer–Lambert *** on the measured thickness,the E-RL detected the non-uniformity of the nanofiber filter thickness and manipulated the movable collector to alleviate the non-uniformity of the thickness by a pre-trained reinforcement learning(RL)*** the training of the RL algo-rithm,the nanofiber production simulation software based on the empirical model of the deposition of the nanofiber filter was developed,and the training process of the RL algorithm was repeated until the optimal policy was *** the training process with the simulation software,the trained model was transferred to the adaptive electrospinning *** the movement of the collector under the optimal strategy of RL algorithm,the non-uniformity of such nanofiber filters was significantly reduced by approximately five times in standard deviation and error for both simulation and *** finding has great potential in improving the reliability of electrospinning process and nanofiber filters used in research and industrial fields such as environment,energy,and biomedicine.

关键词： Electrospinning Nanofiber filter Uniform thickness Reinforcement learning Deep Q-network

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Gram-negative bacteria and their lipopolysaccharides in Alzheimer’s disease:pathologic roles and therapeutic implications

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Translational Neurodegeneration 2021年第4期10卷 643-665页

作者： hyeon soo Kim Sujin Kim Soo Jung Shin Yong Ho Park Yunkwon Nam Chae won Kim Kang won Lee Sung-Min Kim In Duk Jung Hyun Duk Yang yeong-Min Park Minho Moon Department of Biochemistry College of MedicineKonyang UniversityDaejeon 35365Republic of Korea Research Institute for Dementia Science Konyang UniversityDaejeon 35365Republic of Korea Dandi Bioscience Inc 6th Floor of Real Company Building66Achasan-roSungdong-guSeoulRepublic of Korea Harvard Neurology Clinic 294 Gwanggyojungang-roSuji-guYongin 16943Republic of Korea Department of Immunology School of MedicineKonkuk University268ChungwondaeroChungju-siChungcheongbuk-doRepublic of Korea

Alzheimer's disease(AD)is the most serious age-related neurodegenerative disease and causes destructive and irreversible cognitive *** in the development of therapeutics targeting amyloid-β(Aβ)and tau;principal proteins inducing pathology in AD,suggest a paradigm shift towards the development of new therapeutic *** gram-negative bacteria and lipopolysaccharides(LPS)are attractive new targets for AD ***,an altered distribution of gram-negative bacteria and their LPS has been reported in AD ***,gram-negative bacteria and their LPS have been shown to affect a variety of AD-related pathologies,such as Aβ homeostasis,tau pathology,neuroinflammation,and ***,therapeutic approaches targeting gram-negative bacteria or gram-negative bacterial molecules have significantly alleviated AD-related pathology and cognitive *** multiple evidence showing that the gram-negative bacteria and their LPS play a crucial role in AD pathogenesis,the pathogenic mechanisms of gram-negative bacteria and their LPS have not been ***,we summarize the roles and pathomechanisms of gram-negative bacteria and LPS in ***,we discuss the possibility of using gram-negative bacteria and gram-negative bacterial molecules as novel therapeutic targets and new pathological characteristics for AD.

关键词： Alzheimer's disease Gram-negative bacteria Lipopolysaccharide Exotoxin Amyloid beta Tau

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Video Frame Prediction by Joint Optimization of Direct Frame Synthesis and Optical-Flow Estimation

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Computers, Materials & Continua 2023年第5期75卷 2615-2639页

作者： Navin Ranjan Sovit Bhandari yeong-Chan Kim Hoon Kim Iot and Big Data Research Center Incheon National UniversityYeonsu-guIncheon22012Korea 2Department of Electronics EngineeringIncheon National UniversityYeonsu-guIncheon22012Korea

Video prediction is the problem of generating future frames by exploiting the spatiotemporal correlation from the past frame *** is one of the crucial issues in computer vision and has many real-world applications,mainly focused on predicting future scenarios to avoid undesirable ***,modeling future image content and object is challenging due to the dynamic evolution and complexity of the scene,such as occlusions,camera movements,delay and *** frame synthesis or optical-flow estimation are common approaches used by ***,researchers mainly focused on video prediction using one of the *** methods have limitations,such as direct frame synthesis,usually face blurry prediction due to complex pixel distributions in the scene,and optical-flow estimation,usually produce artifacts due to large object displacements or obstructions in the *** this paper,we constructed a deep neural network Frame Prediction Network(FPNet-OF)with multiplebranch inputs(optical flow and original frame)to predict the future video frame by adaptively fusing the future object-motion with the future frame *** key idea is to jointly optimize direct RGB frame synthesis and dense optical flow estimation to generate a superior video prediction *** various real-world datasets,we experimentally verify that our proposed framework can produce high-level video frame compared to other state-ofthe-art framework.

关键词： Video frame prediction multi-step prediction optical-flow prediction delay deep learning

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Reliable high temperature, high humidity flexible thin film encapsulation using Al2O3/MgO nanolaminates for flexible OLEDs

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Nano Research 2020年第10期13卷 2716-2725页

作者： Ki Suk Kang So yeong Jeong Eun Gyo Jeong Kyung Cheol Choi School of Eetrical Enginerng Korea Advanced lstute of Sciencp and Tchcnoloy(KAIST) 291 Daehak roYuscong guDaejeon 34141Republic of Korea Department of Clothing and Textiles Chormam National University77 Yongbong.roBuk guGwangjiu 61186Republic of Korea

Since most organic materials are very sensitive to moisture and oxygen, organic light emitting diodes (OLEDs) require an encapsulation layer to protect the active layer from these gases. Since light, flexible and portable OLEDs are being employed in more diverse climates and environmental conditions, the OLED encapsulation layer must retain robust mechanical properties and stability in high temperature/high humidity conditions. Al2O3 films have demonstrated excellent barrier performance, but they readily hydrolyze when exposed to prolonged harsh environments. In this study, we fabricated a thin film encapsulation (TFE) film that was resistant to hydrolysis, using Al2O3/MgO (AM) nanolaminates. MgO has superior resistance to harsh environments, and the aluminate phase generated by the chemical reaction of Al2O3 and MgO provided excellent barrier performance, even after storage in harsh conditions. A multi-barrier fabricated using the AM nanolaminate showed excellent barrier performance, close to the level required by OLEDs. It did not significantly deteriorate even after a bending test of 1,000 iterations at 0.63% strain. After 1,000 cycle of bending, the electrical properties of the passivated OLEDs were not significantly degraded at shelf-lifetime test where the fabricated device was stored for 50 days in a harsh environment of 60℃, 90% relative humidity. The multi-barrier shows the best performance compared to previous studies on flexible encapsulation that can be used in harsh environments.

关键词： thin film encapsulation nanolaminate structure Al2O3 MgO flexible organic light emitting diode(OLED)

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Throughput Enhancement for Short Packets in the Wireless Packet Networks

Throughput Enhancement for Short Packets in the Wireless Pac...

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第七届国际信号处理会议

作者： yeong-hyeon Kwon Mi-Kyung Oh Dong-Jo Park Dept. of Electrical Engineering and Computer Science （EECS） Korea Advanced Institute of Science and Technology （KAIST） 373-1 Guseong-dong Yuseong-gu Daejon 305-701 Republic of Korea Dept. of Electrical Engineering and Computer Science （EECS） Korea Advanced Institute of Science and Technology （KAIST） 373-1 Guseong-dong Yuseong-gu Daejon 305-701 Republic of Korea Dept. of Electrical Engineering and Computer Science （EECS） Korea Advanced Institute of Science and Technology （KAIST） 373-1 Guseong-dong Yuseong-gu Daejon 305-701 Republic of Korea

We propose a novel transmission scheme suitable for short packet transmission over wireless channels. The proposed scheme is characterized by two schemes: 1) multicopy trans- mission per transmissi

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Highly Efficient,Dual‑Functional Self‑Assembled Electrospun Nanofiber Filters for Simultaneous PM Removal and On‑Site Eye‑Readable Formaldehyde Sensing

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Advanced Fiber Materials 2023年第3期5卷 1088-1103页

作者： Jin yeong Song Seongmin Kim Jaeseong Park Sang Min Park School of Mechanical Engineering Pusan National University63‑2 Busan University‑RoGeumjeong‑GuBusan 46241South Korea

Air pollution containing particulate matter(PM)and volatile organic compounds has caused magnificent burdens on indi-vidual health and global *** advances in highly efficient or multifunctional nanofiber filters have been achieved,many existing filters can only deal with one type of air pollutant,such as capturing PM or absorbing and detecting toxic ***,highly efficient,dual-functional,self-assembled electrospun nanofiber(SAEN)filters were developed for simultaneous PM removal and onsite eye-readable formaldehyde sensing fabricated on a commercial fabric *** the use of an electrolyte solution containing a formaldehyde-sensitive colorimetric agent as a collector during electrospinning,the one-step fabrication of the dual-functional SAEN filter on commercial masks,such as a fabric mask and a daily dispos-able mask,was *** electrolyte solution also allowed the uniform deposition of electrospun nanofibers,thereby achieving the high efficiency of PM filtration with an increased quality factor up to twice that of commercial *** SAEN filter enabled onsite and eye-readable formaldehyde gas detection by changing its color from yellow to red under a 5 ppm concentrated formaldehyde gas *** repetitive fabrication and detachment of the SAEN filter on a fabric mask minimized the waste of the mask while maintaining high filtration efficiency by replenishing the SAEN filters and reusing the fabric *** the dual functionality of SAEN filters,this process could provide new insights into design-ing and developing high performance and dual-functional electrospun nanofiber filters for various applications,including individual protection and indoor purification applications.

关键词： Electrospinning Nanofiber Self-assembly PM removal Formaldehyde sensing

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Paleo-shoreline changes in moraine dammed lake Khagiin Khar, Khentey Mountains, Central Mongolia

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Journal of Mountain Science 2019年第6期16卷 1215-1230页

作者： OH Jeong-Sik SEONG yeong Bae HONG Seongchan YU Byung Yong Department of Geography Education Korea UniversityAnam-Ro 145Seongbuk-GuSeoul 02841Korea AMS Laboratory Advanced Analysis CenterKorea Institute of Science and TechnologySeoul 02791Korea

The formation and evolution of glacier moraine-dammed lakes are closely related to past glacier expansion and retreat. Geomorphic markers such as lacustrine terraces and beach ridges observed in these lakes provide important evidence for regional paleoenvironment reconstruction. We document the magnitude of paleo-shoreline fluctuations and timings of highstands of lake water by using cosmogenic 10Be surface exposure dating and optically stimulated luminescence(OSL) dating on samples collected from lacustrine sediment and bedrock strath in Lake Khagiin Khar. The lake was initially impounded by glacier moraine at the Global Last Glacial maximum(gLGM;21–19 ka), and the lake reached its maximum paleo-shoreline level of 1840 m at sea level(a.s.l.). At that time, the stored lake water amount was up to seven times greater and the surface area was three times larger than the present values. The paleolake experienced higher shoreline levels at 1832, 1822, and 1817 m a.s.l. and reached the present lake level after 0.4 ka. We interpret that decrease in the paleolake level was caused by spillover. The increase in melt water after the gLGM and the Late Glacial exceeded the storage threshold of the lake, and the paleolake water overflowed across the lowest drainage divides. The lake spilled over across the lowest bedrock ridge at 15.9 ± 0.6 ka, and the outlet was incised since that time at a rate of 3.72 ± 0.15 mm/yr. The initial stream of the Khiidiin Pass River was disturbed by LGM moraine damming and was rerouted into the present course running through moraine after the spillover at 15.9 ± 0.6 ka.

关键词： Moraine-dammed lake Lake Khagiin Khar Shoreline Spillover 10Be exposure dating

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Installing a molecular truss beam stabilizes MOF structures

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npj Computational Materials 2022年第1期8卷 1110-1118页

作者： Hong Ki Kim Jong-yeong Jung Gyumin Kang Mu-Hyun Baik Eun-Young Choi Department of Chemistry Korea Advanced Institute of Science and Technology(KAIST)Daejeon34141Republic of Korea Center for Catalytic Hydrocarbon Functionalizations Institute for Basic Science(IBS)Daejeon34141Republic of Korea Korea Science Academy of KAIST 105-47 Baegyanggwanmun-roBusanjin-guBusan47162Republic of Korea

Enhancing the stability and durability of metal-organic frameworks(MOFs)is vital for practical applications because many promising MOF materials suffer from phase transitions and/or structural decompositions with humidity being a particularly damaging *** mechanical engineering,the frame of buildings and furniture can be stabilized significantly by installing a truss *** the same principle,we functionalized the organic component of MOF-5 to contain a carbazole moiety that can act as a molecular truss beam by reaching across the corner and forming a stableπ–πinteraction with a phenyl group on the edge position of the *** structural support enhanced the stability of the MOF substantially,allowing the designed MOF to maintain compositional integrity under steam conditions at 90℃for~5 *** unmodified MOF-5 shows clear signs of structural collapse after~1 h.

关键词： beam moiety durability

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A facile one-step approach to hierarchically assembled core-shell-like MnO2@MnO2 nanoarchitectures on carbon fibers： An efficient and flexible electrode material to enhance energy storage

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Nano Research 2016年第5期9卷 1507-1522页

作者： Goli Nagaraju yeong Hwan Ko Sung Min Cha Sang Hyuk Im Jae Su Yu Department of Electronics and Radio Engineering Institute for Wearable Convergence Electronics Kyung Hee University 1732 Deogyeong-daero Giheung-gu Yongin-si Gyeonggi-do 446-701 Republic of Korea Functional Crystallization Center (ERC) Department of Chemical Engineering Kyung Hee University 1732 Deogyeong-daeroGiheuncl-qu Yonqin-si Gyeonqqi-do 446-701 Republic of Korea

Hierarchical core-shell-like MnO2 nanostructures （NSs） were used to anchor MnO2 hexagonal nanoplate arrays （HNPAs） on carbon cloth （CC） fibers. The NSs were prepared by a novel one-step electrochemical deposition method. Under an external cathodic voltage of -2.0 V for 30 min, hierarchical core-shell-like MnO2-NS-decorated MnO2 HNPAs （MnO2 NSs@MnO2 HNPAs） were uniformly grown on CC with reliable adhesion. The phase purity and morphological properties of the samples were characterized by various physicochemical techniques. At a constant external cathodic voltage, growth of MnO2 NSs@MnO2 HNPAs on CC was carried for different time periods. When utilized as a flexible, robust, and binder-free electrode for pseudocapacitors, the hierarchical core-shell-like MnO2 NSs@MnO2 HNPAs on CC showed clearly enhanced electrochemical properties in 1 M Na2SO4 electrolyte solution. The results indicate that the MnO2 NSs@MnO2 HNPAs on CC have a maximum specific capacitance of 244.54 F/g at a current density of 0.5 A/g with excellent cycling stability compared to that of bare MnO2 HNPAs on CC （112.1 F/g at 0.5 A/g current density）. We believe that the superior charge storage performance of the pseudocapacitive electrode can be mainly attributed to the hierarchical MnO2 NSs@MnO2 HNPAs building blocks that have a large specific surface area, offering additional electroactive sites for efficient electrochemical reactions. The facile and single-step approach to growth of hierarchical pseudocapacitive materials on textile based electrodes opens up the possibility for the fabrication of high-performance flexible energy storage devices.

关键词： manganese oxide hierarchical structures carbon cloth electrochemical deposition energy storage properties

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