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Kanya Klumkrathok,Amonrat Jumnainsong,Chanvit Leelayuwat 한국미생물학회 2013 The journal of microbiology Vol.51 No.2
Unique long 16 (UL16) is a viral glycoprotein produced in a host cell infected with human cytomegalovirus (HCMV). It down regulates surface expression of MICB, one of the NKG2D ligands, by forming stable intracellular complexes and retained in the endoplasmic reticulum. Down expression of MICB renders cells less susceptible to NK cell lysis via the NKG2D receptor. Diverse UL16 sequences were identified from different strains of HCMV. MICB is known to be polymorphic. It is not known whether these polymorphisms affect the interactions between these molecules leading to alteration of the immune surveillance of HCMV. The soluble Fc fusion variant UL16 proteins from four laboratory and clinical isolates (AD169, Toledo, PH, and TR) were produced. Four allelic MICB alleles (008, 003, 004, and 00502) were cloned and stable cell lines expressing these MICB alleles were produced. The binding activities of variant UL16 to allelic MICB proteins were determined by flow cytometry. The variants of UL16 proteins did not affect the binding activities to allelic MICB proteins. However, diverse MICB alleles differentially bound UL16. We found that MICB*008which contains methionine and asparagine at the amino acid positions 98 and 113, respectively, in the alpha 2 domain showed decreased binding activities to UL16 when compared to MICB*003, 004, and MICB*00502 containing isoleucine and aspartic acid, respectively. This finding may imply that MICB*008 is a protective allele and involved in the immune surveillance of HCMV infected patients.
Overview of management of children with COVID-19
Wati, Dyah Kanya,Manggala, Arya Krisna The Korean Pediatric Society 2020 Clinical and Experimental Pediatrics (CEP) Vol.63 No.9
The widespread and contagious coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 has become a burden in the global health domain. The subsequent discovery of the virus features and pathogenesis, and prompt and adequate management are still lacking and remain inconclusive. Children usually present milder symptoms than adults, and management focuses on providing symptomatic and respiratory supports. Several treatment modalities, including the utilization of mechanical ventilation (MV), antivirals, immune-modulating drugs, or other agents, may present promising results in reducing the symptoms of COVID-19, particularly in severe cases. Although no randomized clinical trials have been published to date, it is interesting to explore potential modalities for treating COVID-19 in children, based on review articles, case reports, and recent guidelines.
Blood Is Thicker Than Water: A History of the Diplomatic Discourse “China and Thailand Are Brothers”
( Kornphanat Tungkeunkunt ),( Kanya Phuphakdi ) 경남대학교 극동문제연구소 2018 ASIAN PERSPECTIVE Vol.42 No.4
In this article we examine how the phrase “China and Thailand are brothers” became the diplomatic discourse that both countries commonly use to articulate their cordial relations. First, we trace the historical contexts in which the discourse was constructed and how this discourse played a crucial role in encouraging overseas Chinese to integrate into Thai society in the early twentieth century. Second, we explain how the discourse provided insights for Thai and Chinese political elites relevant to the transformation of their nations’ foreign policies toward Sino-Thai normalization during the Cold War. We further demonstrate how the discourse has reinforced a certain perception of Sino-Thai relations since diplomatic normalization between the two countries. Finally, we suggest a rethinking of the implications of diplomatic discourse with Chinese characteristics to better understand China’s relationship with foreign countries in general and with Thailand in particular.
Intelligent IMC-PID Control for Ultrasonic Motor
Shenglin Mu,Kanya Tanaka,Yuji Wakasa,Takuya Akashi,Yuki Nishimura,Masato Oka 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Ultrasonic motor(USM) is an electronic motor which causes serious characteristic changes during operation and contains non-linearity caused by friction. For USM control application, proportional integral differential(PID) con-trol is a widespread control method. But inpractical process, setting three gains before hand is not an easy work. On the other hand, the internal model control type PID(IMC-PID) which requires only one parameter setting beforehand, mainly used in process control, is more effective relatively. However, in USM control, there are limitations of control perfor-mance on conventional fixed-gain type IMC-PID control since USM’s characteristic changes and non-linearity caused by friction. So, in this paper we propose an improved method of variable gain type IMC-PID control combined with neural network(NN) named “intelligent IMC-PID for USM”. In this proposed method, system identification method is adopted to over come serious characteristic changes and neural network is used to compensate non-linearity. And the effectiveness of the proposed method has been confirmed by experiments.
Improving the Robustness of Lips Sensing with Evolutionary Video Processing
Takuya Akashi,Yuji Wakasa,Kanya Tanaka,Minoru Fukumi 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
In this paper, an effective method is proposed for robust lips sensing. Our objectives are high-speed lips tr acking and data acquisition of a talking person in natural scenes. Our approach is based on the Evolutionary Video Processing. This method has a trade-off between accuracy and a processing time. To solve this problem, we proposed automatic Search Domain Control method and implement this method in the Evolutionary Video Processing. The tracking accuracy is improved from 66.3% to 84.9%. The proposed method can recover from occlusion and tracking loss. Comparative experiments are presented to demonstrate the effectiveness and robustness of the proposed method.
머신러닝을 활용한 EV NVH 최적 모델링에 관한 연구
김용현(Yonghyun Kim),Kanya Benjamin,하형수(Hyeongsoo Ha) 한국자동차공학회 2023 한국자동차공학회 학술대회 및 전시회 Vol.2023 No.11
In the rapidly evolving automotive industry, Noise, Vibration, and Harshness (NVH) control has become a critical aspect of vehicle development. Meeting consumers demands for a quieter and smoother driving experience while adhering to environmental and safety standards requires advanced optimization techniques. This study aims to compare the performance of two NVH optimization algorithms: AVL CAMEO Robust Neural Network and machine learning algorithms from the Python scikit-learn library. To achieve this, a comprehensive evaluation process was conducted. NVH data was collected and preprocessed to suit the requirements of both algorithms. The models were implemented and fine-tuned using appropriate hyperparameters and optimization techniques. Performance evaluation was conducted using test data, focusing on noise, vibration, and stiffness evaluation metrics. The results demonstrated that both AVL CAMEO Robust Neural Network and scikitlearn algorithms offered effective NVH optimization capabilities. However, their strengths and weaknesses differed in various scenarios. AVL CAMEO Robust Neural Network showed promising results in specific NVH aspects, while scikit-learn demonstrated versatility across multiple evaluation metrics. This study provides valuable insights into NVH optimization approaches, contributing to the advancement of vehicle motor development. The findings help automotive manufacturers and researchers choose the most suitable optimization algorithms based on their specific NVH requirements, promoting a smoother and more comfortable driving experience for consumers.