Research on Temperature Points Selection of the Non-source Temperature Calibration Method Based on Pyrometer Transfer Function

Sun Kun,Wang Jing,Wang Hongchao,Yu Limei,Li Chenyang,Zhang Xiaowen 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.11

The non-source temperature calibration method of the multi-spectral pyrometer (MSP), put forward in the previous article, is the non-source calibration method based on the MSP transfer function (NCCTF). In this paper, the practicability of NCCTF is researched. The situations that maybe encountered of the temperature points in the actual calibration process are simulated. The impact of the intervals temperature points of different number and unequal intervals temperature points on the NCCTF accuracy are researched theoretically to determine the temperature points select method. Simulation experimental results show that the NCCTF can meet the actual calibration process with good usability.

Georgenia faecalis sp. nov. isolated from the faeces of Tibetan antelope

Wang Xiaoxia,Yang Jing,Huang Yuyuan,Wu Xiaomin,Wang Licheng,Han Limei,Li Sha,Li Huan,Fu Xiaoying,Chen Hai,Zhu Xiong 한국미생물학회 2020 The journal of microbiology Vol.58 No.9

Two aerobic, Gram-stain-positive, non-motile, non-sporulating coccoid strains, designated ZLJ0423T and ZLJ0321, were isolated from the faeces of Tibetan antelope (Pantholops hodgsonii). Their optimal temperature, NaCl concentration and pH for growth were 28°C, 0.5% (w/v) NaCl and pH 7.5, respectively. Phylogenetic analysis based on 16S rRNA gene sequences revealed that strains ZLJ0423T and ZLJ0321 were very similar to each other (99.8%) and had a sequence similarity of 97.0% with Georgenia satyanarayanai NBRC 107612T and Georgenia subflava CGMCC 1.12782T. Phylogenomic analysis based on 688 core genes indicated that these strains formed a clade with G. satyanarayanai NBRC 107612T and Georgenia wutianyii Z294T. The predominant cellular fatty acids were anteiso-C15:0, anteiso-C15:1 A and C16:0. The major menaquinone was MK-8(H4). The cell-wall amino acids consisted of alanine, lysine, glycine and aspartic acid, with lysine as the diagnostic diamino acid. Diphosphatidylglycerol, phosphatidylglycerol, phosphatidylinositol, phosphatidylinositol mannosides and two unidentified lipids formed the polar lipid profile. The DNA G + C content of both isolates was 73.9 mol%. The digital DNA–DNA hybridization value between strains ZLJ0423T and ZLJ0321 was 91.2%, but their values with closely related species and other available type strains of the genus Georgenia were lower than the 70% threshold. On the basis of polyphasic taxonomic data, strains ZLJ0423T and ZLJ0321 represent a novel species within the genus Georgenia, for which the name Georgenia faecalis sp. nov. is proposed. The type strain is ZLJ0423T (= CGMCC 1.13681T = JCM 33470T).

Thymol Ameliorates Aspergillus fumigatus Keratitis by Downregulating the TLR4/ MyD88/ NF-kB/ IL-1β Signal Expression and Reducing Necroptosis and Pyroptosis

Wang Limei,Yan Haijing,Chen Xiaomeng,Han Lin,Liu Guibo,Yang Hua,Lu Danli,Liu Wenting,Che Chengye 한국미생물·생명공학회 2023 Journal of microbiology and biotechnology Vol.33 No.1

Fungal keratitis is a refractory kind of keratopathy. We attempted to investigate the antiinflammatory role of thymol on Aspergillus fumigatus (A. fumigatus) keratitis. Wound healing and fluorescein staining of the cornea were applied to verify thymol’s safety. Mice models of A. fumigatus keratitis underwent subconjunctival injection of thymol. The anti-inflammatory roles of thymol were verified by hematoxylin-eosin (HE) staining, slit lamp observation, quantitative real-time polymerase chain reaction (qRT-PCR), and Western blotting. In contrast with the DMSO group, more transparent corneas and less inflammatory cells infiltration were detected in mice treated with 50 μg/ml thymol. Thymol downregulated the synthesis of TLR4, MyD88, NF-kB, IL-1β, NLRP3, caspase 1, caspase 8, GSDMD, RIPK3 and MLKL. In summary, we proved that thymol played a protective part in A. fumigatus keratitis by cutting down inflammatory cells aggregation, downregulating the TLR4/ MyD88/ NF-kB/ IL-1β signal expression and reducing necroptosis and pyroptosis.

A repressor motif-containing poplar R3 MYB-like transcription factor regulates epidermal cell fate determination and anthocyanin biosynthesis in Arabidopsis

Qingnan Hu,Li Yang,Shanda Liu,Limei Zhou,Xutong Wang,Wei Wang,Ling Cai,Xiuju Wu,Ying Chang,Shucai Wang 한국식물학회 2016 Journal of Plant Biology Vol.59 No.5

Single-repeat R3 MYB transcription factors (R3 MYBs) regulate epidermal cell fate determination in Arabidopsis through a lateral inhibition mechanism. Previously we have shown that poplar R3 MYB genes regulate trichome formation when expressed in Arabidopsis. Here we report the identification and functional characterization of a poplar R3 MYB-like protein, Populus trichocarpa R3 MYB-LIKE1 (PtrRML1). So far all the MYB transcription factors identified have a highly conserved N-terminal DNA-binding domain composed of MYB repeats and a highly variable C-terminal domain. However, PtrRML1 has a single R3 MYB repeat at its C-terminal and an LxLxL repressor motif-containing N-terminal, and with amino acids about twice of that of the known R3 MYBs. PtrRML1 is localized in nuclear in transgenic Arabidopsis plants expressing PtrRML1-GFP. PtrRML1 repressed reporter gene expression in protoplasts, and it interacted with GL3 in plant cells. Expression of PtrRML1 in Arabidopsis resulted in glabrous phenotypes, increased number of root hairs, and decreased anthocyanin accumulation. Consist with these observation, the expression levels of some MBW component genes and some of their target genes involved in the regulation of epidermal cell fate determination and anthocyanin biosynthesis, including TRY, CPC, ETC1, GL1, GL2, DFR, UF3GT and TT8 were reduced in the transgenic plants.

Protection lightpath-based hitless spectrum defragmentation for distance adaptive elastic optical networks

Wang, Chao,Shen, Gangxiang,Peng, Limei The Optical Society 2016 Optics express Vol.24 No.5

Cognitive-Empowered Femtocells: An Intelligent Paradigm for Femtocell Networks

Wang, Xiaoyu,Ho, Pin-Han,Wong, Alexander,Peng, Limei WILEY INTERSCIENCE 2018 WIRELESS COMMUNICATIONS AND MOBILE COMPUTING Vol.2018 No.-

<P>Deploying femtocells has been taken as an effective solution for removing coverage holes and improving wireless service performance in 3G-beyond wireless networks such as WiMAX and Long Term Evolution (LTE). This article investigates a novel framework of dynamic spectrum management for femtocell networks, called cognitive-empowered femtocells (CEF), aiming at mitigating both cross-tier and intratier interferences with minimum modifications required on the corresponding macrocell network. With the proposed framework, each CEF base station (BS) and the femtocell users can utilize spatiotemporally available radio resources for the access traffic. We conclude that the proposed CEF framework can effectively complement the existing femtocell design and serve as a value-added feature to the state-of-the-art femtocell technologies, while achieving high scalability and interoperability by minimizing the required modifications on the macrocell protocol design.</P>

FGD5-AS1 promotes growth and mobility of trophoblast cells by regulating IGF2 via sponging miR-16-5p in pre-eclampsia

Quan Limei,Jin Yan,Wang Jianfang,Dai Xiwang,Zhu Shuli,Sheng Zengwei 대한독성 유전단백체 학회 2024 Molecular & cellular toxicology Vol.20 No.2

Background PE is a common pregnancy disease that can cause various pathologies in pregnant women. GEO microarray data revealed low expression of FGD5-AS1 in placenta tissues from patients with severe PE. As predicted by ENCORI, FGD5-AS1 sponges miR-16-5p, and IGF2, and promotes cell proliferation, differentiation, and metabolism. Objectives This study aimed to interrogate the interaction of FGD5-AS1/miR-16-5p/IGF2 axis and the mechanism of FGD5-AS1 in hypoxia-induced trophoblast cell injury. Results Our findings revealed that FGD5-AS1 and IGF2 were substantially decreased in PE patients than that in normal pregnant females, whereas miR-16-5p was increased in PE patients than that in normal pregnant females. In vitro studies showed that FGD5-AS1 were reduced in trophoblast cells after hypoxia treatment, accompanied by decreased viability and increased apoptosis, also reduced invasion, migration and angiogenesis. However, FGD5-AS1 overexpression substantially reversed these effects. Further mechanistic analysis showed that FGD5-AS1 could target miR-16-5p to regulate IGF2. FGD5-AS1 promoted the expression of IGF2 by sponging miR-16-5p, thereby increasing the viability of trophoblast cells after hypoxia treatment and promoting invasion and migration. Conclusion Overall, our findings demonstrated that FGD5-AS1 promoted growth and mobility of trophoblast cells by regulating miR-16-5p/IGF2 axis in PE.

Three-Month Follow-Up Study of Survivors of Coronavirus Disease 2019 after Discharge

Liang Limei,Yang Bohan,Jiang Nanchuan,Fu Wei,He Xinliang,Zhou Yaya,Ma Wan-Li,Wang Xiaorong 대한의학회 2020 Journal of Korean medical science Vol.35 No.47

Background: Most patients including health care workers (HCWs) survived the coronavirus disease 2019 (COVID-19), however, knowledge about the sequelae of COVID-19 after discharge remains limited. Methods: A prospectively observational 3-month follow-up study evaluated symptoms, dynamic changes of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) IgG and IgM, lung function, and high resolution computed tomography (HRCT) of survivors of COVID-19 after discharge at Wuhan Union Hospital, China. Results: Seventy-six survivors (55 females) with a mean age of 41.3 ± 13.8 years were enrolled, and 65 (86%) were HCWs. A total of 69 (91%) patients had returned to their original work at 3-months after discharge. Most of the survivors had symptoms including fever, sputum production, fatigue, diarrhea, dyspnea, cough, chest tightness on exertion and palpitations in the three months after discharge. The serum troponin-I levels during the acute illness showed high correlation with the symptom of fatigue after hospital discharge (r = 0.782; P = 0.008) and lymphopenia was correlated with the symptoms of chest tightness and palpitations on exertion of patients after hospital discharge (r = −0.285, P = 0.027; r = −0.363, P = 0.004, respectively). The mean values of forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FEV1/FVC, total lung capacity and diffusion capacity were all normal (> 80% predicted) and lung HRCTs returned to normal in most of the patients (82%), however, 42% of survivors had mild pulmonary function abnormalities at 3-months after discharge. SARS-CoV-2 IgG turned negative in 11% (6 of 57 patients), 8% (4 of 52 patients) and 13% (7 of 55 patients), and SARS-CoV-2 IgM turned negative in 72% (41 of 57 patients), 85% (44 of 52 patients) and 87% (48 of 55 patients) at 1-month, 2-months and 3-months after discharge, respectively. Conclusion: Infection by SARS-CoV-2 caused some mild impairments of survivors within the first three months of their discharge and the duration of SARS-CoV-2 antibody was limited, which indicates the necessity of long-term follow-up of survivors of COVID-19.

Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification

Li, Weikai,Wang, Zhengxia,Zhang, Limei,Qiao, Lishan,Shen, Dinggang Frontiers Media S.A. 2017 Frontiers in neuroinformatics Vol.11 No.-

<P>Functional brain network (FBN) has been becoming an increasingly important way to model the statistical dependence among neural time courses of brain, and provides effective imaging biomarkers for diagnosis of some neurological or psychological disorders. Currently, Pearson's Correlation (PC) is the simplest and most widely-used method in constructing FBNs. Despite its advantages in statistical meaning and calculated performance, the PC tends to result in a FBN with dense connections. Therefore, in practice, the PC-based FBN needs to be sparsified by removing weak (potential noisy) connections. However, such a scheme depends on a hard-threshold without enough flexibility. Different from this traditional strategy, in this paper, we propose a new approach for estimating FBNs by remodeling PC as an optimization problem, which provides a way to incorporate biological/physical priors into the FBNs. In particular, we introduce an L<SUB>1</SUB>-norm regularizer into the optimization model for obtaining a sparse solution. Compared with the hard-threshold scheme, the proposed framework gives an elegant mathematical formulation for sparsifying PC-based networks. More importantly, it provides a platform to encode other biological/physical priors into the PC-based FBNs. To further illustrate the flexibility of the proposed method, we extend the model to a weighted counterpart for learning both sparse and scale-free networks, and then conduct experiments to identify autism spectrum disorders (ASD) from normal controls (NC) based on the constructed FBNs. Consequently, we achieved an 81.52% classification accuracy which outperforms the baseline and state-of-the-art methods.</P>

The extension of fixed point theorems for set valued mapping

Yimin Shi,Limei Ren,Xuyan Wang 한국전산응용수학회 2003 Journal of applied mathematics & informatics Vol.13 No.1-2