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| WoS | SCOPUS | Document Type | Document Title | Abstract | Authors | Affiliation | ResearcherID (WoS) | AuthorsID (SCOPUS) | Author Email(s) | Journal Name | JCR Abbreviation | ISSN | eISSN | Volume | Issue | WoS Edition | WoS Category | JCR Year | IF | JCR (%) | FWCI | FWCI Update Date | WoS Citation | SCOPUS Citation | Keywords (WoS) | KeywordsPlus (WoS) | Keywords (SCOPUS) | KeywordsPlus (SCOPUS) | Language | Publication Stage | Publication Year | Publication Date | DOI | JCR Link | DOI Link | WOS Link | SCOPUS Link |
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| ○ | Article | Simultaneous occurrence of acute appendicitis and appendicular band syndrome in a patient with intestinal obstruction | [No abstract available] | Park, Ki Bum; Nho, Woo Young; Kee, Se Kook | Department of Gastrointestinal Surgery, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Surgery, CHA Gumi Medical Center, CHA University, Gumi, South Korea | 57220965452; 57215831839; 57222586040 | wooyoung.nho@gmail.com; | Visual Journal of Emergency Medicine | 2405-4690 | 31 | 0.38 | 2025-06-25 | 1 | Acute appendicitis; Appendicular band; Appendicular tie; Intestinal obstruction | English | Final | 2023 | 10.1016/j.visj.2023.101637 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | Conference paper | Small-Signal Dynamics of Current-Mode Controlled Active Clamp Forward Converter with Main Switch Current Feedback | Active clamp forward converters (ACFCs) with current mode control are widely used for low voltage/high current applications. Current mode control for ACFCs usually employs the current feedback from the main switch at the primary side of the isolation transformer, which carries both the reflected inductor current and the transformer magnetizing current. With the additional magnetizing current feedback, the power stage dynamics with current loop closed are markedly altered from the case of the inductor-current only feedback. This paper analyzes the power stage dynamics and presents a factorized expression for the control-to-output transfer function with current loop closed, thus providing the new and exact information about the control design for the main switch current feedback. The accuracy of the proposed control-to-output transfer function is validated by both computer simulations and experimental measurements. The implication, significance, and utility of the new transfer function are addressed. © 2023 The Korean Institute of Power Electronics. | Lee, Dongheon; Kang, Yonghan; Choi, Byungcho; Cha, Honnyong | Kyungpook National University, School of Energy Engineering, South Korea; Cisco Systems, Inc., United States; Kyungpook National University, School of Electronics Engineering, South Korea; Kyungpook National University, School of Energy Engineering, South Korea | 58572531100; 58572388200; 7402755121; 24450248400 | ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics | 1.96 | 2025-06-25 | 3 | active clamp; asymptotic analysis; coefficient matching; current mode control; forward converter; primary current feedback | Asymptotic analysis; Dynamics; Feedback; Power converters; Power electronics; Active-clamp; Active-clamp forward converters; Coefficient matching; Current feedback; Current Mode Control; Forward converters; Main switches; Matchings; Primary current feedback; Primary currents; Transfer functions | English | Final | 2023 | 10.23919/icpe2023-ecceasia54778.2023.10213660 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | Book chapter | Smart Cities Emergence with Artificial Intelligence- Natural Language Processing | In this digital world integrating smart city concepts, a smart city is a technically advanced metropolitan region that collects data using various electronic technologies, voice recognition methods, and sensor devices. It would not be wrong to say that this smart city is based on the Internet of things (IoT) and artificial intelligence (AI). The IoT and AI are closely related. IoT systems generate big data, and data is at the heart of AI and machine learning. Simultaneously, as the number of linked devices and sensors expands, the importance of smart technologies is also growing faster in this domain. These technologies enable contextual understanding and allow smart devices to solve our problems. Today, the applications of computational intelligence in IoT products and smart devices used in smart cities vary. AI can be leveraged to drive efficiency and improve human living quality for the smart cities of tomorrow. NLP gives the powers to AI tools that recognize and respond in natural Language. This chapter focused on a definite area of AI called Natural Language Processing, which helps and enhances human living in smart cities. There are many use cases where this AI technology makes sense for smart cities. Computerized healthcare services assist policymakers in implementing smart cities in becoming brighter, using opinion mining and permission to remodel a house. These use cases are achieved and discuss various applications, scopes, techniques, advantages, disadvantages, and future scope of NLP of AI in Smart Cities. © 2023, Bentham Science Publishers. | Kumar, Sandeep; Solanki, Arun; Paul, Anand | Gautam Buddha University, Uttar Pradesh, Greater Noida, India; Department of Computer Science and Engineering, School of ICT Gautam Buddha University, Greater Noida, India; The School of CSE, Kyungpook National University, Daegu, South Korea | 59444982600; 36562669800; 56650522400 | sk136398@gmail.com; | Intelligent Systems for IoE Based Smart Cities | 1.52 | 2025-06-25 | 3 | Deep neural network; Internet of things; Natural language processing; NLP pipeline; Smart cities; Text mining; Text summarization | English | Final | 2023 | 10.2174/9789815124965123010008 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | Book chapter | Smart Manufacturing Using 4D Printing | Over the recent years, technological advancement in manufacturing industry has evolved dramatically. Smart manufacturing is the most recent and most useful result of these technologies. By correctly anticipating needs, identifying flaws, and other methods, smart manufacturing may efficiently manage innovation and the production process. It entails incorporating a variety of technologies and strategies into the production process that is already in place. Since additive manufacturing carefully connects materials to create components directly from 3D models during the production process, it is a type of smart manufacturing. This technology is changing how things are made by accelerating viable component complexity, accelerating turnaround times, and enabling cost-effective low-volume and mass-customized production. However, another technique is developing as the field of additive manufacturing continues to discover new uses, new materials, and new 3D printers. A 4D item can be produced, just like any three-dimensional printing. The distinction is that when hot water, light, or heats are introduced, the sophisticated materials utilized in 4D printing technology may be programmed to carry out a variety of tasks. It is possible to alter an object's size, add new materials, and make items that can fold, expand, and compress thanks to the usage of 4D printing. This technique has applications in manufacturing, biotechnology, and medicine. This chapter deals the concepts and regulations governing 4D printing, along with the materials utilized, applications, and obstacles that still need to be removed before it can be widely used in manufacturing technologies. © 2023 selection and editorial matter, Ajay, Hari Singh, Parveen, Bandar AlMangour. | Arumugam, Dhanasekaran; Stephen, Christopher; Viswanathan, Arunpillai; Paul, Ajay John; Kumaar, Tanush | Center for NC Technologies, Department of Mechanical Engineering, Chennai Institute of Technology Madras, Tamil Nadu, Chennai, India; Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Tamil Nadu, Chennai, India; Department of Mechanical Engineering, Chennai Institute of Technology Madras, Tamil Nadu, Chennai, India; School of Mechanical Engineering, Kyungpook National University, Daegu, South Korea; Department of Mechanical Engineering, Chennai Institute of Technology Madras, Tamil Nadu, Chennai, India | 57212452016; 58336427100; 58339089700; 58338427000; 58335778300 | Handbook of Smart Manufacturing: Forecasting the Future of Industry 4.0 | 0 | 2025-06-25 | 0 | English | Final | 2023 | 10.1201/9781003333760-14 | 바로가기 | 바로가기 | |||||||||||||||||||||
| ○ | Article | Social Influencing Factors of Clinical Nurses’ Patient Advocacy; [임상간호사의 대상자 옹호에 대한 사회적 영향요인] | Purpose: This study’s aim was to understand clinical nurses’ patient advocacy and identify factors influencing this based on the Theory of Patient Advocacy. Methods: The subjects of this study were 173 clinical nurses working in two university hospitals in D city, South Korea. Data were collected using a structured self-report questionnaire. Analysis was conducted using IBM SPSS 26.0 and included descriptive statistics, Mann-Whitney U test, one-way ANOVA, Pearson’s correlation coefficients, and hierarchical multiple regression analysis. Results: Among the general characteristics, gender was found to be an influencing factor for patient advocacy. As a macrosocial antecedent, the ethical climate of the hospital influenced patient advocacy. For the microsocial antecedents, human rights sensitivity and patient vulnerability influenced nurses’ patient advocacy. This final model explained 35.6% of variance of clinical nurses’ patient advocacy. Conclusion: Considering the findings of this study, the ethical climate of hospitals must be improved. In addition, programs to strengthen nurses’ human rights sensitivity and to help improve communication with patients must be developed. This could further aid nurse and patient relationships. © 2023 Korean Academy of Nursing Administration. | Kim, Myungji; Choi, Hyunkyung | College of Nursing, Kyungpook National University, South Korea; College of Nursing, Research Institute of Nursing Science, Kyungpook National University, South Korea | 58676117200; 55619940700 | hchoi@knu.ac.kr; | Journal of Korean Academy of Nursing Administration | 1225-9330 | 29 | 4 | 0 | 2025-06-25 | 0 | Ethical climate; Human rights; Nursing theory; Patient advocacy; Vulnerable populations | Korean | Final | 2023 | 10.11111/jkana.2023.29.4.363 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Conference paper | Soft-start Active-clamp Isolated Full-bridge Current-fed DC-DC Converter | The conventional isolated full-bridge current-fed (FB-CF) DC-DC converter suffers two critical problems, voltage spike across switches and inrush current at start-up. This paper proposed a method for an active-clamp FB-CF converter. The proposed converter can solve both critical issues with the suggested method without any auxiliary circuit or extra components. The operation of the converter is investigated under both steady-state and start-up periods. The method is verified by simulation and experiments with a 1 kW prototype. © 2023 IEEE. | Bui, Van-Dai; Cha, Honnyong; Tran, Thien-Dung; Do, Duc-Tuan | Thuyloi University, Faculty of Electrical and Electronics Engineering, Hanoi, Viet Nam, Kyungpook National University, School of Energy Engineering, Daegu, South Korea; Kyungpook National University, School of Energy Engineering, Daegu, South Korea; Kyungpook National University, School of Energy Engineering, Daegu, South Korea; Thai Nguyen University of Technology, Faculty of Electrical Engineering, Thai Nguyen, Viet Nam | 57221961296; 24450248400; 58572374600; 57202470961 | daibv@tlu.edu.vn; | Proceedings - 2023 International Symposium on Electrical and Electronics Engineering, ISEE 2023 | 2.29 | 2025-06-25 | 4 | active clamp; current-fed; DC-DC converter; full bridge; isolated converter; soft-start | Active-clamp; Critical issues; Critical problems; Current fed; Current-fed converter; Full bridge; In-rush current; Isolated converters; Soft start; Voltage spikes; DC-DC converters | English | Final | 2023 | 10.1109/isee59483.2023.10299810 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Conference paper | Solving Duty-ratio Limitation for Four-phase Input-Parallel Output-Series DC-DC Converter with Asymmetrical PWM Scheme | The literature has conducted many studies on the input-parallel output-series (IPOS) converter. To increase the voltage gain, by synthesizing two single IPOS converters, a four-phase input-parallel output-series (4P- IPOS) converter was introduced recently. However, the duty ratio must be greater than 0.5 (i.e., D > 0.5) for the converter to work correctly, so it suffers from duty-ratio limitation. Moreover, there was no study on using a bipolar DC grid or a dual-output configuration. This paper proposed an asymmetrical PWM scheme, which easily implements to solve the duty-ratio limitation of the 4P-IPOS converter. Additionally, the use of a dual-output connection is studied. As a result, the converter not only can work with D < 0.5 and maintains the high voltage gain (Formula Presented). , but also achieve outputs voltage balancing (i.e., Vo1= Vo2) as well as currents balancing (i.e., IL1= IL2, IL3= IL4). An 800-W prototype converter is used in simulation and experimentation to validate the suggested PWM technique. © 2023 The Korean Institute of Power Electronics. | Bui, Van-Dai; Cha, Honnyong | Kyungpook National University, School of Energy Engineering, South Korea, Thuyloi University, Hanoi, Viet Nam; Kyungpook National University, School of Energy Engineering, South Korea | 57221961296; 24450248400 | daibv@tlu.edu.vn; | ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics | 4.57 | 2025-06-25 | 7 | Asymmetrical pulse-width modulation (PWM); boost converter; current balancing; dual-output; high step-up converter; input-parallel output-series (IPOS) converter; voltage balancing | Electric inverters; Gain measurement; Pulse width modulation; Asymmetrical pulse-width modulation; BOOST converter; Current balancing; Dual outputs; High step-up converters; Input-parallel output-series converter; Output series; Parallel output; Pulsewidth modulations (PWM); Series converter; Voltage balancing; Boost converter | English | Final | 2023 | 10.23919/icpe2023-ecceasia54778.2023.10213512 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | ○ | Article | Spiritual Leadership and Work-life Balance | This study examines the relationship of spiritual leadership with multiple dimensions of employees' work-life balance and how employees' spiritual well-being, life satisfaction, and Confucian values intervene in these relationships in an Asian (South Korean) context. The findings of this study suggest that spiritual leadership plays a positive role in helping employees achieve work-life balance, comprised of family, leisure, and growth dimensions, and that this relationship is moderated by Confucian values. Additionally, the serial mediating role of spiritual well-being and life satisfaction explained how spiritual leadership can also influence work-life dimensions. The study suggests that employees' integration of work and non-work roles can be enhanced as an organization initiates spiritual IP 20 8 109 20 O : Mon 3 Jan 2 leadership practices that enable a life-frinly workplace. y Ingenta To influence work-life balance, a dual-approach of policies and practices is recommended that mutually aligns organizational and individuals' values and captures employees' needs for well-being and life satisfaction. Deliver | Hunsaker, William D.; Jeong, Woojin | Kyungpook Natl Univ, Sch Business Adm, Daegu, South Korea | Hunsaker, William/E-9696-2017 | 55974245100; 57218936013 | hunsaker@knu.ac.kr; | JOURNAL OF MANAGEMENT SPIRITUALITY & RELIGION | J MANAG SPIRITUAL RE | 1476-6086 | 1942-258X | 20 | 1 | ESCI | RELIGION | 2023 | 0.7 | 2.86 | 2025-06-25 | 5 | 7 | Spiritual well-being; life satisfaction; workplace spirituality; Confucian values | ORGANIZATIONAL CITIZENSHIP BEHAVIOR; SELF-DETERMINATION; FAMILY INTERFACE; SATISFACTION; RESOURCES; SUPPORT; MODERATORS; WORKPLACE; HAPPINESS; POLICY | Confucian values; life satisfaction; Spiritual well-being; workplace spirituality | English | 2023 | 2023-01 | 10.51327/hssf4468 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | Conference paper | Split Capacitor Ripple Reduction Method of 3-Level NPC Converter Using Zigzag Transformer | In the case of Neutral Point Clamped (NPC) converter, the 3rd harmonic component of the capacitor neutral point current causes voltage ripples to each DC link capacitor. The capacitor's low-order harmonic voltage ripples cause distortion in the converter output and reduce the stability of the system. Therefore, when the output of the converter increases, the ripple component of the capacitor also increases, so that a capacitor with a higher capacitance is required to ensure the reliability of the NPC converter. In this paper, a technique to reduce DC link capacitor voltage ripples by compensating the 3rd harmonic voltage of the DC link capacitor of a 3-level NPC converter with the output offset voltage using a zigzag transformer is proposed. The proposed technique was verified through both simulations. © 2023 The Korean Institute of Power Electronics. | Song, Geum Seop; Cui, Shenghui; Jung, Jae-Jung | Kyungpook National University, School of Electronic and Electrical Engineering, South Korea; Seoul National University, Dept. of Electrical and Computer Engineering, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, South Korea | 57223916437; 56157479900; 55368433400 | ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics | 0.65 | 2025-06-25 | 1 | 3-level NPC converter; DC distribution; DC link capacitor; zigzag transformer | DC transformers; Electric power distribution; Harmonic analysis; Power converters; Power electronics; System stability; 3 levels; 3-level neutral point clamped converter; DC distribution; DC link capacitor; Dc-link; Harmonic voltages; Neutral-point clamped converters; Ripple reduction; Voltage ripples; Zigzag transformer; Capacitance | English | Final | 2023 | 10.23919/icpe2023-ecceasia54778.2023.10213597 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | Article | Static Modeling and Experimental Verification for Safety Evaluation of Human-robot Interaction in Exoskeleton Robots | The elasticity of human skin and the complexity of human joints can lead to misalignment between an exoskeleton robot and the human body. This misalignment increases physical human-robot interaction forces, resulting in discomfort and pain for the wearer. Consequently, considering these interaction forces is crucial for ensuring the safety of wearing an exoskeleton. In this study, we propose a novel method to statically predict physical human-robot interaction forces and evaluate the safety of using exoskeleton robots. To validate the interaction model, experiments are conducted using a sensor-equipped upper limb dummy and an exoskeleton robot. The results confirm the effectiveness of the proposed method, allowing for the quantitative assessment of the safety of using exoskeleton robots without the need for manufacturing actual prototypes. © ICROS 2023. | Lim, Seungbum; Jung, Hyein; Suh, Jungwook | Department of Robot and Smart System Engineering, Kyungpook National University, South Korea; Department of Robot and Smart System Engineering, Kyungpook National University, South Korea; Department of Robot and Smart System Engineering, Kyungpook National University, South Korea | 58627825200; 58626930300; 36606826500 | jwsuh@knu.ac.kr; | Journal of Institute of Control, Robotics and Systems | 1976-5622 | 29 | 9 | 0 | 2025-06-25 | 0 | exoskeleton robot; physical human-robot interaction; safety evaluation; static modeling | Alignment; Exoskeleton (Robotics); Man machine systems; Exoskeleton robots; Experimental verification; Human joints; Human skin; Humans-robot interactions; Interaction forces; Model verification; Physical humanrobot interaction (phri); Safety evaluations; Static modelling; Human robot interaction | Korean | Final | 2023 | 10.5302/j.icros.2023.23.0088 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Book chapter | STEM education for primary schools: A topic modelling study of STEM applied learning programme websites in Singapore | Science, technology, engineering, and mathematics (STEM) education is increasingly viewed as a means of raising long-term interest and achievement in associated school subjects, although consensus has not been reached regarding its exact composition of disciplines and organization. In Singapore, STEM predominantly occurs within the context of school-based STEM Applied Learning Programme (ALP) at primary and secondary schools. Based on analysing STEM ALP websites (N = 42) from primary schools (Grades 1-6), we uncovered how these schools self-describe their STEM education programmes so as to understand what passes for STEM education here. The textual data from the websites was first analysed using unsupervised topic modelling to uncover frequently occurring as well as unique words/expressions associated with the descriptions of STEM ALP. We then used these words/expressions to inform topic tags for carrying out supervised topic classification by subject experts. It was found that many STEM ALP at the primary level identified themselves with two out of five Singapore Ministry of Education recommended themes - game design & making and sustainability. In addition, inferences were drawn regarding the learning approaches promoted (i.e. inquiry-based, design-oriented, or innovation-driven) through these STEM ALP websites. Implications concerning the variations in learning approaches for STEM education among local primary schools are discussed. © 2024 selection and editorial matter, Winnie Wing Mui So, Zhi Hong Wan, and Tian Luo. All rights reserved. | Tun, Eunjeong; Ong, Yann Shiou; Lee, Yew-Jin | Kyungpook National University, South Korea; National Institute of Education, Nanyang Technological University, Singapore; National Institute of Education, Nanyang Technological University, Singapore | 58680114700; 56602429800; 8669072400 | Cross-disciplinary STEM Learning for Asian Primary Students: Design, Practices, and Outcomes | 0 | 2025-06-25 | 0 | English | Final | 2023 | 10.4324/9781003262237-11 | 바로가기 | 바로가기 | |||||||||||||||||||||
| ○ | Article | Sterilization against Escherichia coli ATCC 25922 in fresh-cut produce using a pilot-scale intense pulsed light device | The objective of this study was to evaluate the microbiological contamination of fresh-cut carrot, cabbage, and spring onion, in addition to the sterilization effects of pilot-scale intense pulsed light (IPL) on Escherichia coli ATCC 25922 in fresh-cut produce by varying the treatment voltages (1200-2400 V) and time (1-7 min). The fresh-cut samples were surveyed for the aerobic mesophilic and psychrophilic count, yeast and mold, total coliform, generic E. coli, and E. coli O157:H7. The contamination levels varied in their range and mean, but E. coli O157:H7 was not detected in all samples. E. coli ATCC 25922 in fresh-cut carrot, cabbage, and spring onion reduced by 3.03, 2.78, and 3.25 log units for 7 min of pilot-scale IPL treatment at 2400 V, respectively, with the temperature increase of 2.5±0.4, 2.2±0.2, and 2.4±0.3oC, respectively. The cell inactivation by IPL in the fresh-cut produce increased with increasing treatment time and voltage. © 2023 Korean Society of Food Science and Technology. All rights reserved. | Cheigh, Chan-Ick | Department of Food and Food Service Industry, Kyungpook National University, South Korea | 6506587023 | cic@knu.ac.kr; | Korean Journal of Food Science and Technology | 0367-6293 | 55 | 6 | 0 | 2025-06-25 | 0 | cabbage; carrot; fresh-cut produce; intense pulsed light; spring onion | Korean | Final | 2023 | 10.9721/kjfst.2023.55.6.663 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Article | Straightforward Clarification for Fundamental Algorithms of Artificial Neural Networks | Artificial neural networks (ANNs) have revolutionized the field of science in the last few decades. Unlike classical machine learning (ML) algorithms, which require human effort to craft well-structured features, an ANN automatically extracts complex patterns as features and passes them into ML to perform various downstream tasks, such as classification and segmentation. Hence, ANNs have made most classical ML algorithms obsolete for many tasks. In addition, deep learning-based models, such as convolutional neural networks, recurrent neural networks, graph neural networks, and generative adversarial neural networks, accelerate artificial intelligence (AI) applications. Therefore, it is essential for novices in ML to understand the basic functionality of ANN to pursue deep learning-related algorithms. Considering this importance, this paper explains the major functionalities of ANN algorithms, such as loss function and backpropagation. © 2023 Institute of Electronics and Information Engineers. All rights reserved. | Rahmatov, Nematullo; Baek, Hoki | School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea; School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea | 57203635963; 35112685500 | neloyou@knu.ac.kr; | IEIE Transactions on Smart Processing and Computing | 2287-5255 | 12 | 3 | 0 | 2025-06-25 | 0 | Backpropagation; Gradient descent; Loss function; LSR | Backpropagation; Convolutional neural networks; Generative adversarial networks; Graph neural networks; Recurrent neural networks; Complex pattern; Convolutional neural network; Down-stream; Gradient-descent; Learning Based Models; Loss functions; LSR; Machine learning algorithms; Machine-learning; Networks/graphs; Gradient methods | English | Final | 2023 | 10.5573/ieiespc.2023.12.3.223 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Article | Strategic Fabrication of Robust Spherical Hexagonal Boron Nitride Particles for Thermally Conductive Applications | Hexagonal boron nitride (h-BN) has a layered structure similar to graphite and thus exhibits excellent thermal stability, electrical insulation, and chemical and corrosion resistance, resulting in a material of choice in numerous applications. However, its unique layered structure of h-BN hinders the dense packing of h-BN flakes, which poses challenges in practical applications. In this study, we present a novel and practical approach for fabricating micrometer-sized spherical-shaped h-BN particles with enhanced strength. This strategy involves fusing h-BN flakes with h-BN synthetic precursors, a homogeneous material without heterogeneous additives. The precursor reacts between the aggregated particles to form new h-BN bonds that connect the h-BN flakes, which improves the bonding strength. The self-densification and fabrication of h-BN particles can be achieved with a significantly lower temperature of 1100 degrees C without any pressing process. The precursor additives strengthened the necking between the particles and filled the voids between the h-BN flakes. By appropriately controlling the precursor content, voids within the composite can be alleviated. This approach resulted in spherical particles without a secondary phase, preserving the properties of h-BN. This effective strategy opens up new application possibilities in ultrafine thermally conductive systems, including the latest semiconductor stack packaging or micro-LED devices. | Yun, Gyeongho; Nam, Minho; Cho, Suhyeon; Heo, Young-Woo; Lee, Seunghyup | Korea Inst Ceram Engn & Technol, Emerging Mat R&D Div, Jinju 52851, Gyeongnam, South Korea; Kyungpook Natl Univ, Sch Mat Sci & Engn, Daegu 41566, South Korea | ywheo@knu.ac.kr;shbelly@kicet.re.kr; | ACS APPLIED ENGINEERING MATERIALS | 2771-9545 | 1 | 12 | 3 | hexagonal boron nitride (h-BN); spherical h-BN; thermally conductive filler; nanocomposites; polymermatrix composites | VAPOR SYNTHESIS; CRYSTALLIZATION; TEMPERATURE; MORPHOLOGY; STABILITY; POLYMERS; FILLERS; SIZE | English | 2023 | 2023-12-13 | 10.1021/acsaenm.3c00619 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Conference paper | Structural Connectivity Analysis in Cognitive Decline: Insights from Graph Theory and Mass-Spring Modeling | The landscape of cognitive states and their underlying neurobiological mechanisms has been significantly illuminated through advancements in neuroimaging and computational modeling. This study introduces an integrated approach that harnesses network analysis and machine learning techniques to characterize and differentiate cognitive groups - Normal Control (NC), Mild Cognitive Impairment (MCI), and Alzheimer's Disease (AD). Structural networks are formulated and analyzed based on diffusion tensor data through a fusion of graph theory and mass-spring model methodologies. Notably, features extracted from both graph theoretic and mass-spring model computations drive a two-step framework. This process commences with a random forest-based feature extraction, followed by a support vector-based classification approach, culminating in an impressive accuracy of 82.7% for classifying individuals across cognitive groups, with an AUC of 0.893. This study significance is underscored by the pressing need for enhanced cognitive impairment detection and differentiation strategies. The identified features offer nuanced insights into the intricate interplay among brain structure, dynamics, and cognitive function, thereby bridging gaps in our understanding of cognitive decline and neurodegeneration. By fortifying our diagnostic repertoire and facilitating personalized interventions, this research paves the way for refined clinical practices. © 2023 IEEE. | Adebisi, Abdulyekeen T.; Lee, Ho-Won; Veluvolu, Kalyana C. | Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, School of Medicine, Department of Neurology, Daegu, South Korea, Kyungpook National University, Brain Science and Engineering Institute, Daegu, South Korea; Kyungpook National University, School of Electronics Engineering, Daegu, South Korea | 57220004878; 35337240700; 8703318200 | veluvolu@ee.knu.ac.kr; | Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023 | 0 | 2025-06-25 | 0 | Alzheimer's disease; Dementia related disorders; Diffusion tensor imaging (DTI); Graph theory; Mass-spring model; Support vector machine (SVM) | Clinical research; Computation theory; Diagnosis; Diffusion tensor imaging; Digital storage; Disease control; Forestry; Graph theory; Learning systems; Magnetic resonance imaging; Neurodegenerative diseases; Tensors; Vector spaces; Alzheimers disease; Cognitive decline; Cognitive impairment; Connectivity analysis; Dementia related disorder; Diffusion tensor imaging; Mass-spring models; Structural connectivity; Support vector machine; Support vectors machine; Support vector machines | English | Final | 2023 | 10.1109/bibm58861.2023.10385749 | 바로가기 | 바로가기 |
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