Clinical Value of Real Time Elastography in Patients with Unexplained Cervical Lymphadenopathy: Quantitative Evaluation

Fu, Ying,Shi, Yun-Fei,Yan, Kun,Wang, Yan-Jie,Yang, Wei,Feng, Guo-Shuang Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.13

Ultrasonography is non-invasive and can give useful clues in the diagnosis of cervical lymphadenopathy, However, differential diagnosis is difficult in some situations even combined with color Doppler imaging. The present study was conducted to evaluate the clinical value of real time elastography in patients with unexplained cervical lymphadenopathy using a quantitative method. From May 2011 to February 2012, 39 enlarged lymph nodes from 39 patients with unexplained cervical lymphadenopathy were assessed. All the patients were examined by both B-mode ultrasound, color Doppler flow imaging and elastography. The method of analyzing elasto-graphic data was the calculation of the 10 parametres ("mean", "sd", "area%", "com", "kur", "ske", "con", "ent", "idm", "asm") offered by the software integrated into the Hitachi system. The findings were then correlated with the definitive tissue diagnosis obtained by lymph node dissection or biopsy. Final histology revealed 10 cases of metastatic lymph nodes, 11 cases of lymphoma, 12 cases of tuberculosis and 6 cases of nonspecific lymphadenitis. The significant distinguishing features for conventional ultrasound were the maximum short diameter (p=0.007) and absent of echogenic hilum (p=0.0293). The diagnostic accuracy was 43.6% (17/39 cases) and there were 17 patients with equivocal diagnosis. For elastography, "mean" (p=0.003), "area%" (p=0.009), "kurt" (p=0.0291), "skew" (p=0.014) and "cont" (p=0.012) demonstrated significant differences between groups. With 9 of the 17 patients with previous equivocal diagnoses (52.9%) definite and correct diagnoses could be obtained. The diagnostic accuracy for conventional ultrasound combined elastography was 69.2% (27/39 cases). There were differences in the diagnostic sensitivity of the two methods (p=0.0224). Ultrasound combined with elastography demonstrated higher rates of conclusive and accurate diagnoses in patients with unexplained cervical lymphadenopathy than conventional ultrasound. The quantitative program showed good correlation with the pathology of different lymph node diseases.

A novel nucleic acid aptamer tag: a rapid fluorescence strategy using a self-constructing G-quadruplex from AGG trinucleotide repeats

Fu, Boshi,Park, Yoojin,Kim, Ki Tae,Chen, Kun,Zou, Guangrong,Wei, Qi,Peng, Shuang,Chen, Yuqi,Kim, Byeang Hyean,Zhou, Xiang The Royal Society of Chemistry 2018 Chemical communications Vol.54 No.81

<P>Herein, we have developed a novel fluorescence labeling strategy for nucleic acid aptamers based on self-assembling between AGG tri-nucleotide repeats and a pyrene-modified oligonucleotide. This strategy could be an effective tool for developing targeting-imaging systems and biosensor systems to detect target molecules.</P>

The Research of Constrained Optimization Method Based on BP Neural Network and Its Application

Shuang-jing Li,Fu-lin Wang 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.10

This essay proposes a method of BP neural network constrained optimization based on previous studies. The optimization method based on the BP neural network, takes the minimum output of a neural network as an example, gives the general mathematical models, derives and gives the partial derivatives of BP network's output to input, and uses the Sigmoid Function as the transmission function in the article. On the previous studies basis, the basic ideas, algorithms and related models are given, based on the constrained optimization issues of BP neural network. We can adjust the input values of BP neural network to obtain the minimum or maximum output value by using this method. This optimization method links the optimization and fitting of BP networks together and expands the application of the BP neural network. At last, in this essay, the optimization method is applied in an example.

Application of Biodegradable Microcrystalline Cellulose to Improve the Crystallization Behavior of Isotactic Polybutene-1

Fu-hua Lin,Bo Wang,Shuang-dan Mao,Xiang-yang Li,Yu-ying Zhao,Ying-Hui Wei 한국고분자학회 2021 폴리머 Vol.45 No.5

The microcrystalline cellulose (MCC) was used for inducing crystallization of the isotactic polybutene-1 (iPB) and the maleic anhydride grafted polybutene-1 (MAPB) was used as a compatibilizer. The crystallization behavior of the composite demonstrated that the addition of MCC could significantly accelerate the crystallization rate of iPB and the addition of MAPB could improve the compatibility between MCC and iPB. Moreover, the properties of the composites with MAPB were better than those without MAPB. The crystal transformation had been completed after storage for 5 days and the form I was formed after storage for 3 days which was faster than pure iPB. The non-isothermal crystallization kinetics data of the composites indicated that the modified Avrami equation could describe the non-isothermal crystallization process of the iPB/MCC composite and the t1/2 of the composites was shortened for 24.32% and 40.27% which indicated that MCC could promote the crystallization of iPB.

An Improved Predictive Functional Control with Minimum-Order Observer for Speed Control of Permanent Magnet Synchronous Motor

Shuang Wang,Junyong Fu,Ying Yang,Jian Shi 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.1

In this paper, an improved predictive functional control (PFC) scheme for permanent magnet synchronous motor (PMSM) control system is proposed, on account of the standard PFC method cannot provides a satisfying disturbance rejection performance in the case of strong disturbances. The PFC-based method is first introduced in the control design of speed loop, since the good tracking and robustness properties of the PFC heavily depend on the accuracy of the internal model of the plant. However, in orthodox design of prediction model based control method, disturbances are not considered in the prediction model as well as the control design. A minimumorder observer (MOO) is introduced to estimate the disturbances, which structure is simple and can be realized at a low computational load. This paper adopted the MOO to observe the load torque, and the observations are then fed back into PFC model to rebuild it when considering the influence of perturbation. Therefore, an improved PFC strategy with torque compensation, called the PFC+MOO method, is presented. The validity of the proposed method was tested via simulation and experiments. Excellent results were obtained with respect to the speed trajectory tracking, stability, and disturbance rejection.

An Improved Predictive Functional Control with Minimum-Order Observer for Speed Control of Permanent Magnet Synchronous Motor

Wang, Shuang,Fu, Junyong,Yang, Ying,Shi, Jian The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.1

In this paper, an improved predictive functional control (PFC) scheme for permanent magnet synchronous motor (PMSM) control system is proposed, on account of the standard PFC method cannot provides a satisfying disturbance rejection performance in the case of strong disturbances. The PFC-based method is first introduced in the control design of speed loop, since the good tracking and robustness properties of the PFC heavily depend on the accuracy of the internal model of the plant. However, in orthodox design of prediction model based control method, disturbances are not considered in the prediction model as well as the control design. A minimum-order observer (MOO) is introduced to estimate the disturbances, which structure is simple and can be realized at a low computational load. This paper adopted the MOO to observe the load torque, and the observations are then fed back into PFC model to rebuild it when considering the influence of perturbation. Therefore, an improved PFC strategy with torque compensation, called the PFC+MOO method, is presented. The validity of the proposed method was tested via simulation and experiments. Excellent results were obtained with respect to the speed trajectory tracking, stability, and disturbance rejection.

The Specific Case Analysis of Biomineralization Induced by Sulfate Reducing Bacteria

( Hongwei Liu ),( Shuang Qin ),( Chaoyang Fu ),( Fei Xiao ),( Deli Wang ),( Xia Han ),( Tianli Wang ),( Hongfang Liu ) 한국부식방식학회(구 한국부식학회) 2017 Corrosion Science and Technology Vol.16 No.6

The effects of sulfate reducing bacteria (SRB) on the corrosion and scaling of the Q235 carbon steel has been investigated in the simulated sewage water and oil field gathering pipelines production water, using scanning electron microscopy (SEM), energy dispersive x-ray spectrometry (EDS), and three-dimensional stereoscopic microscope. Results indicated that the concentration of SRB reached the maximum value on the ninth day in simulated sewage water with a large amount of scaling on the surface of specimen. In oil field gathering pipelines, a large amount of scaling and mineralization of mineral salts and thick deposition of extracellular polymeric substance (EPS) layers were also observed on the surface of specimen. The thickness of biofilm was about 245 μm within 30 days. After adding microbicides, the thickness of corrosion products film was only up to 48 - 106 μm within 30 days, suggesting that SRB could induce biomineralization. Under-deposit corrosion morphology was uniform in the absence of microbicides while local corrosion was observed in the presence of microbicides.

A Credibility-based Defense SSDF Attacks Scheme for the Expulsion of Malicious Users in Cognitive Radio

Hong Du,Shuang Fu,Hongna Chu 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.9

Cognitive radio (CR) can improve the utilization of the spectrum by making use of licensed spectrum in an opportunistic manner. However, the security aspects of cognitive radio networks have garnered little attention. In this paper, we identify a threat to cognitive radio networks, which we call the spectrum sensing data falsification (SSDF) attack. SSDF attack can hugely degrade the achievable detection accuracy. To counter this threat, we proposed a new method to confront the SSDF attacks by excluding malicious users is cognitive radio. In detail, the proposed scheme defense the SSDF attacks by calculating and updating the credit value of the Secondary Users (SUs), malicious users are excluded to avoid the attacks affect in cooperative spectrum sensing. Simulations results show that both the detection probability and the false alarm probability are significantly improved compared to the case when all users are by default trusted to be normal users.

Evaluation of the Immunomodulatory and Anti-inflammatory Activities of Honey Bee Larva Powder

Kejuan Li,Shuang Sun,Masakatsu Kageyama,Long Xiao,Guoqing Xing,Ran Gao,Fengming You,Xi Fu,Zhenya Zhang 한국식품영양과학회 2020 Journal of medicinal food Vol.23 No.7

Honey bee larva powder (HLP) has traditionally been used as a daily supplement and tonic for health promotion with an uncertain scientific basis. In this study, B16-F10 tumor-bearing mice were established to evaluate the immunomodulatory activity of HLP. The proliferation and apoptosis assays were performed to evaluate the anti-inflammatory activity of honey bee larva extract (HLE) in RAW 264.7 macrophage. The in vivo experimental results demonstrated that the oral administration of freeze-dried HLP (4 and 6 g/kg) significantly enhanced the spleen index, the percentage of CD4+cells, and the ratio of CD4+ and CD8+ T lymphocytes (CD4+/CD8+) in the peripheral blood compared with those in the tumor control mice. The in vitro studies demonstrated the potent immunomodulatory activities of HLE through the induction of RAW 264.7 macrophage proliferation and the mitigation of doxorubicin (DOX)-induced toxicity. HLE also exhibits anti-inflammatory activity by decreasing the production of nitric oxide (NO) and the cytokine level of interleukin-6 (IL-6) in lipopolysaccharide (LPS)-stimulated RAW 264.7 macrophage. The present study provides important scientific evidence for the immunomodulatory and anti-inflammatory activities of HLP and HLE.

Anti-PUE Attack Base on Fractal Dimension in Spectrum Sensing

Xu Jie,Fu Shuang 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.10

Secure problem has become a major concern in spectrum sensing. PUE attack is a common attack in spectrum sensing. To defend PUE attack, an anti-PUE attack method in spectrum sensing based on fractal dimension is proposed. It detects PUE attack by identifying the modulation type of the received signal using SVM classifier. Sevcik fractal dimension in frequency domain (SFDF) and Higuchi fractal dimension (HFD) of the received signal are adopted as the characteristics for classification by SVM classifier. So the task of anti-PUE attack can be carried out in spectrum sensing. Besides the parameters for spectrum sensing, i.e. SFDF and HFD, no other parameter is required to be calculated, which will decrease the calculation amount and calculation time. The Numerical results show that, the proposed method can effectively detect the PUE attack. When SNR is larger than 10 dB, its PUE detection probability can reach 1. Even when SNR is low to -10 dB, the PUE detection probability is larger than 0.97.