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Jiang Ling,Wenqi Zhang,Zijia Cheng,Yanjun Ding 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.112 No.-
Cantharidin (CTD), an effective component of Chinese herbal medicine with unique efficacy, caused poisoningor death constantly for incorrect use. Therefore, there is an intense need for a reliable, selective,sensitive and low-costing analytical method for monitoring the concentration of CTD in biological samples. In this work, a ratiometric fluorescent sensor (CdTe@MIPs/CDs@NIPs) was successfully constructedfor selective determination of CTD by simply integrated the non-imprinted polymers coated CDs(CDs@NIPs) with cadmium telluride quantum dots coated with molecular imprinted polymers(CdTe@MIPs). CDs@NIPs were directly used as reference signal without addition of CTD templates andthe as-prepared CdTe@MIPs were response signal. With the CTD addition, the fluorescence intensity ofCdTe@MIPs decreased, while the fluorescence of CDs@NIPs remained approximately unchanged, resultinga detection limit as low as 0.15 nM. By spiked human blood samples, the ratiometric sensor was successfullyapplied to CTD detection with good recoveries of 96.12–107.40% and relative standard deviation(RSD) of 2.87–3.96%. Moreover, after centrifuging and re-eluting, the developed sensor could be effectivelyrecycled and reused five times. Significantly, the proposed platform with low-cost and highsensitivityopens a door towards the practical applications of ratiometric sensor and shows immensepotential in pursuing the sensitive, reliable and low-cost determination of poisons in forensic toxicologyanalysis.
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LSTM Android Malicious Behavior Analysis Based on Feature Weighting
( Qing Yang ),( Xiaoliang Wang ),( Jing Zheng ),( Wenqi Ge ),( Ming Bai ),( Frank Jiang ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.6
With the rapid development of mobile Internet, smart phones have been widely popularized, among which Android platform dominates. Due to it is open source, malware on the Android platform is rampant. In order to improve the efficiency of malware detection, this paper proposes deep learning Android malicious detection system based on behavior features. First of all, the detection system adopts the static analysis method to extract different types of behavior features from Android applications, and extract sensitive behavior features through Term frequency-inverse Document Frequency algorithm for each extracted behavior feature to construct detection features through unified abstract expression. Secondly, Long Short-Term Memory neural network model is established to select and learn from the extracted attributes and the learned attributes are used to detect Android malicious applications, Analysis and further optimization of the application behavior parameters, so as to build a deep learning Android malicious detection method based on feature analysis. We use different types of features to evaluate our method and compare it with various machine learning-based methods. Study shows that it outperforms most existing machine learning based approaches and detects 95.31% of the malware.
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Thermal deformation analysis and compensation of the direct-drive five-axis CNC milling head
Yaonan Cheng,Xianpeng Zhang,Guangxin Zhang,Wenqi Jiang,Baowei Li 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.9
The machining precision of the milling head is primarily affected by the thermal errors that originated from the thermal deformation. Thermal error compensation is an economical and efficient method to overcome these thermal errors. The milling head’s heat source is analyzed to calculate the thermal boundary load based on component parameters of the milling head. The milling head’s thermal deformation is then simulated using ANSYS software to achieve the milling head’s temperature distribution and the amount of thermal deformation. Through the design and construction of the milling head temperature and thermal deformation experiment platform, the thermal deformation experiment of the milling head is performed. Accordingly, the measuring point temperature and the tooltip offset are obtained. Finally, a thermal error compensation method is proposed based on the homogeneous transformation. The research results give a theoretical reference and technical support for the thermal error compensation, optimized design, and development of milling heads.
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Lianzhou Yang,Yuchen Cai,Dongsheng Zhang,Jian Sun,Chenyu Xu,Wenli Zhao,Wenqi Jiang,Chunhua Pan 한국유방암학회 2018 Journal of breast cancer Vol.21 No.4
Purpose: Immune suppression is common in patients with advanced breast cancer but the mechanisms underlying this phenomenon have not been sufficiently studied. In this study, we aimed to identify B7 family members that were able to predict the immune status of patients, and which may serve as potential targets for the treatment of breast cancer. We also aimed to identify microRNAs that may regulate the expression of B7 family members. Methods: The Cancer Genome Atlas data from 1,092 patients with breast cancer, including gene expression, microRNA expression and survival data, were used for statistical and survival analyses. Polymerase chain reaction and Western blot were used to measure messenger RNA and protein expression, respectively. Luciferase assay was used to investigate direct microRNA target. Results: Bioinformatic analysis predicted that microRNA (miR)-93, miR-195, miR-497, and miR-340 are potential regulators of the immune evasion of breast cancer cells, and that they exert this function by targeting CD274, PDCD1LG2, and NCR3LG1. We chose CD274 for further investigations. We found that miR-195, miR-497, and CD274 expression levels were inversely correlated in MDA-MB-231 cells, and miR-195 and miR-497 expressions mimic inhibited CD274 expression in vitro. Mechanistic investigations demonstrated that miR-195 and miR-497 directly target CD274 3´ untranslated region. Conclusion: Our data indicated that the level of B7 family members can predict the prognosis of breast cancer patients, and miR-195/miR-497 regulate CD274 expression in triple negative breast cancer. This regulation may further influence tumor progression and the immune tolerance mechanism in breast cancer and may be able to predict the effect of immunotherapy on patients.
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