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  • Hindawi Limited  (5)
  • 1
    In: Human Mutation, Hindawi Limited, Vol. 41, No. 1 ( 2020-01), p. 212-221
    Type of Medium: Online Resource
    ISSN: 1059-7794 , 1098-1004
    URL: Issue
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 1498165-8
    SSG: 12
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  • 2
    Online Resource
    Online Resource
    Hindawi Limited ; 2017
    In:  Mathematical Problems in Engineering Vol. 2017 ( 2017), p. 1-11
    In: Mathematical Problems in Engineering, Hindawi Limited, Vol. 2017 ( 2017), p. 1-11
    Abstract: This paper presents a correction method for UAV helicopter airborne temperature and humidity including an error correction scheme and a bias-calibration scheme. As rotor downwash flow brings measurement error on helicopter airborne sensors inevitably, the error correction scheme constructs a model between the rotor induced velocity and temperature and humidity by building the heat balance equation for platinum resistor temperature sensor and the pressure correction term for humidity sensor. The induced velocity of a spatial point below the rotor disc plane can be calculated by the sum of the induced velocities excited by center line vortex, rotor disk vortex, and skew cylinder vortex based on the generalized vortex theory. In order to minimize the systematic biases, the bias-calibration scheme adopts a multiple linear regression to achieve a systematically consistent result with the tethered balloon profiles. Two temperature and humidity sensors were mounted on “Z-5” UAV helicopter in the field experiment. Overall, the result of applying the calibration method shows that the temperature and relative humidity obtained by UAV helicopter closely align with tethered balloon profiles in providing measurements of the temperature profiles and humidity profiles within marine atmospheric boundary layers.
    Type of Medium: Online Resource
    ISSN: 1024-123X , 1563-5147
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2017
    detail.hit.zdb_id: 2014442-8
    SSG: 11
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  • 3
    Online Resource
    Online Resource
    Hindawi Limited ; 2020
    In:  Wireless Communications and Mobile Computing Vol. 2020 ( 2020-12-2), p. 1-16
    In: Wireless Communications and Mobile Computing, Hindawi Limited, Vol. 2020 ( 2020-12-2), p. 1-16
    Abstract: Intrusion detection system (IDS) is a second line of the security mechanism for the wireless sensor network (WSN), and it has a great influence on confidentiality, integrity, and availability. However, many existing IDS only detect single attack or multiple known attacks. In this paper, a novel intrusion detection algorithm based on change rates of multiple attributes (CRMA) is proposed, which can detect multiple attacks including known and unknown types simultaneously. The change rates of multiple attributes for sensor nodes usually reflect the running states of WSN over a period of time. First, the Observed Change Rate of attributes at different times is obtained by observing multiple attributes of different sensor nodes. Then, the convex optimization is alternately used to obtain the Normal Change Rate and corresponding weights by minimizing the distance between the Observed Change Rate and the Normal Change Rate of each attribute. Finally, the WSN is considered to be attacked when the weighted deviation of the Observed Change Rate and Normal Change Rate is beyond the corresponding threshold. Experimental results show that the CRMA can detect multiple attacks including known and unknown types simultaneously and has a fast convergence rate. The average true positive rates (TPR) of CRMA are high, and the average false positive rates (FPR) of CRMA are low. The detection performance of CRMA is superior to that of the ARMA and NeTMids algorithms.
    Type of Medium: Online Resource
    ISSN: 1530-8677 , 1530-8669
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2045240-8
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  • 4
    Online Resource
    Online Resource
    Hindawi Limited ; 2018
    In:  Journal of Immunology Research Vol. 2018 ( 2018-08-26), p. 1-7
    In: Journal of Immunology Research, Hindawi Limited, Vol. 2018 ( 2018-08-26), p. 1-7
    Abstract: Thioredoxin reductase (TrxR), an antioxidant enzyme dependent on nicotinamide adenine dinucleotide phosphate, plays a vital role in defense against oxidative stress. However, the role of microRNAs targeting TrxR under oxidative stress has not yet been determined. In this study, we tested the involvement of miRNA-mediated posttranscriptional regulation in H 2 O 2 -induced TrxR1 expression in endothelial cells. Dual luciferase assay combined with expression analysis confirmed that miR-125a suppressed TrxR1 expression by targeting its 3 ′ -UTR. Furthermore, H 2 O 2 induced TrxR1 expression partly through downregulation of miR-125a. These findings indicate that miRNA-mediated posttranscriptional mechanism is involved in H 2 O 2 -induced TrxR1 expression in endothelial cells, suggesting an important role of miRNAs in the response to oxidative stress.
    Type of Medium: Online Resource
    ISSN: 2314-8861 , 2314-7156
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2018
    detail.hit.zdb_id: 2817541-4
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  • 5
    In: BioMed Research International, Hindawi Limited, Vol. 2019 ( 2019-08-07), p. 1-9
    Abstract: Background . The purpose of this study was to investigate the correlation of the extent of aortic arch calcification (AAC) detectable on chest X-rays with the severity of coronary artery disease (CAD) as evaluated by the SYNTAX score (SS) in patients with acute coronary syndrome (ACS). Methods. A total of 1,418 patients (344 women; 59 ± 10 years) who underwent coronary angiography for ACS and were treated with coronary revascularization were included in the present study; chest X-rays were performed on admission. The AAC extent was divided into four grades (0–3). SS was calculated based on each patient’s coronary angiographic findings. The relationship between the AAC extent and SS was assessed. Results . The AAC extent was positively correlated with SS ( ρ = 0.639, P 〈 0.001). In the multivariate analysis, compared with grade 0, odds ratios (ORs) of AAC grades 1, 2, and 3 in predicting SS 〉 22 were 12.95 (95% CI, 7.85–21.36), 191.76 (95% CI, 103.17–356.43), and 527.81 (95% CI, 198.24–1405.28), respectively. Receiver operating characteristic curve analysis yielded a strong predictive ability of the AAC extent for SS 〉 22 (area under curve = 0.840, P 〈 0.001). Absence of AAC had a sensitivity, specificity, positive prognostic value, negative prognostic value, and accuracy of 46.7%, 95.9%, 94.1%, 56.4%, and 67.3%, respectively, for SS ≤22. AAC grades ≥2 had a sensitivity of 66.3%, specificity of 89.2%, positive prognostic value of 81.5%, negative prognostic value of 78.6%, and accuracy of 79.6% for the correct identification of SS 〉 22. Conclusions . The extent of AAC detectable on chest X-rays might provide valuable information in predicting CAD severity in ACS patients.
    Type of Medium: Online Resource
    ISSN: 2314-6133 , 2314-6141
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2019
    detail.hit.zdb_id: 2698540-8
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