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Algorithm Evaluation Support Tools for Intelligent Space
Shaohua Zheng,Takeshi Sasaki,Hideki Hashimoto 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Intelligent Space is an environment in which a variety of sensors are distributed and installed. In this paper, the three tools to simulate Intelligent Space system, Environment Designer, Sensor Arranger and Simulation Runner are explained. They operate to make our simulator a powerful simulation platform for research and many other aims in Intelligent Space. In addition to simulation of the operation of Intelligent Space including information processing and mobile robot control, sensor arrangement is one of the main objectives of our platform. Beside of manual operation, amateur users are looking forward to more automatic functions. Because the arrangement of laser range finder is an important theme for Intelligent Space research, automatic laser range finder arrangement mode is proposed.
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Zhongfen Liu,Shaohua Gao,Ying Bu,Xiaoyan Zheng 연세대학교의과대학 2022 Yonsei medical journal Vol.63 No.3
Purpose: In this article, we aimed to investigate the influences of luteolin on inflammatory injury to cardiomyocytes induced bylipopolysaccharide (LPS). Materials and Methods: H9c2 cells were pretreated with different concentrations of luteolin (10, 20, and 50 μM) for 12 h and thenstimulated with 10 μg/mL LPS or no LPS for 6 h. Cell viability was detected by CCK-8 assay. Cell apoptosis was determined byflow cytometry. QRT-PCR and Western blotting were utilized to examine mRNA and protein levels. ELISA was used to determinethe levels of monocyte chemoattractant protein-1, tumor necrosis factor-alpha, interleukin (IL)-6, IL-1β, and IL-18 in cell supernatantsamong different groups of H9c2 cells. Immunofluorescence was applied to evaluate reactive oxygen species formation inH9c2 cells. M-mode images of echocardiography, the ejection fraction test, fractional shortening test, end-systolic volume test, andend-diastolic volume test of mouse heart function were obtained by ultrasonic electrocardiogram. Results: Luteolin could alleviate inflammatory damage and inflammatory factor expression among LPS-induced H9c2 cells. Additionally,we found that luteolin decreased LPS-stimulated inflammatory damage in H9c2 cells by down-regulating NOD-likereceptor family pyrin domain containing 3 (Nlrp3). Luteolin also improved myocardial function in mice treated with LPS and reducedmyocardial relaxation. Luteolin reversed myocardial histological abnormalities in mice and reduced inflammation andcardiomyocyte apoptosis. Additionally, luteolin inhibited oxidative stress-mediated myocardial and systemic tissue damage inmice. Finally, luteolin reduced LPS-induced inflammatory damage in mouse cardiomyocytes by down-regulating Nlrp3. Conclusion: We found that luteolin could reduce inflammatory damage to cardiomyocytes induced by LPS by down-regulatingNlrp3.
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Gene expression profile of NFκB repressing factor(NKRF) knockdown cells by microarray analysis
Sun Yaqiong,Zheng Dan,Gu Shaohua,Mao Yumin,Xie Yi 한국바이오칩학회 2012 BioChip Journal Vol.6 No.3
Human NFκB repressing factor(NKRF) is a negative regulation transcription factor, which is able to repress transcription by binding to the negative regulatory element(NRE) near the NFκB binding site in certain genes’ promoters. Current researches reveals that NKRF represses the activation of IFN-β, IL-8,hiNOS and HIV-1 by NFκB. We used optical fiber beadchip to analysis the different gene expression patterns of RNAi mediated NKRF knockdown HEK293 cells and found that several genes showed significant change of expression levels. Real-time PCR was performed to verify the changes of expression of candidate genes. We analyzed the function of candidate genes by searching the gene ontology databases and publications and revealed that these genes functioned in cell cycle, cell proliferation, apoptosis, cell migration, DNA repair, transcription, metabolism, response to stimulus and signal transduction. This study provides new perspectives on NKRF’s potential multiple functions.
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Full-space Cloud of Random Points with a Scrambling Metasurface
Li, Zile,Dai, Qi,Mehmood, Muhammad Q.,Hu, Guangwei,yanchuk, Boris Luk’,Tao, Jin,Hao, Chenglong,Kim, Inki,Jeong, Heonyeong,Zheng, Guoxing,Yu, Shaohua,Alù,, Andrea,Rho, Junsuk,Qiu, Cheng-Wei Nature Publishing Group UK 2018 Light, science & applications Vol.7 No.1
<▼1><P>With the rapid progress in computer science, including artificial intelligence, big data and cloud computing, full-space spot generation can be pivotal to many practical applications, such as facial recognition, motion detection, augmented reality, etc. These opportunities may be achieved by using diffractive optical elements (DOEs) or light detection and ranging (LIDAR). However, DOEs suffer from intrinsic limitations, such as demanding depth-controlled fabrication techniques, large thicknesses (more than the wavelength), Lambertian operation only in half space, etc. LIDAR nevertheless relies on complex and bulky scanning systems, which hinders the miniaturization of the spot generator. Here, inspired by a Lambertian scatterer, we report a Hermitian-conjugate metasurface scrambling the incident light to a cloud of random points in full space with compressed information density, functioning in both transmission and reflection spaces. Over 4044 random spots are experimentally observed in the entire space, covering angles at nearly 90°. Our scrambling metasurface is made of amorphous silicon with a uniform subwavelength height, a nearly continuous phase coverage, a lightweight, flexible design, and low-heat dissipation. Thus, it may be mass produced by and integrated into existing semiconductor foundry designs. Our work opens important directions for emerging 3D recognition sensors, such as motion sensing, facial recognition, and other applications.</P></▼1><▼2><P><B>Metasurfaces: scrambling light for 3D detection and recognition</B></P><P>Firing light at a manufactured 'metasurface'—one carrying patterns at a smaller scale than the wavelength of the light—fills large volumes of space with defined points of light, potentially improving 3-D recognition and sensor applications. Cheng-Wei Qui and colleagues at the National University of Singapore, with co-workers across Asia and in the USA, created their unique metasurface from amorphous silicon. Light is scattered from and transmitted through the material to generate a cloud of data points in the surrounding space in which the structure and motion of objects under study can be analyzed. The initial development work with this “scrambling metasurface” suggests it could improve pattern recognition, including face recognition, motion detection and augmented reality applications. The researchers describe how their innovation overcomes significant limitations of existing methods in these fields.</P></▼2>
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