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| 1 | Airworthiness Compliance Verification Method Based on Simulation of Complex System显示文摘A study is conducted on a new airworthiness compliance verification method based on pilot-aircraft-environment complex system simulation. Verification scenarios are established by 'block diagram' method based on airworthiness criteria. A pilotaircraft-environment complex model is set up and a virtual flight testing method based on connection of MATLAB/Simulink and Flightgear is proposed. Special researches are conducted on the modeling of pilot manipulation stochastic parameters and manipulation in critical situation. Unfavorable flight factors of certain scenario are analyzed, and reliability modeling of important system is researched. A distribution function of small probability event and the theory on risk probability measurement are studied. Nonlinear function is used to depict the relationship between the cumulative probability and the extremum of the critical parameter. A synthetic evaluation model is set up, modified genetic algorithm (MGA) is applied to ascertaining the distribution parameter in the model, and a more reasonable result is obtained. A clause about vehicle control functions (VCFs) verification in MIL-HDBK-516B is selected as an example to validate the practicability of the method. | XU Haojun LIU Dongliang XUE Yuan ZHOU Li MIN Guilong | 2012 | Chinese Journal of Aeronautics2012，25，5： | 9 |
| 2 | Safety modeling and simulation of multi-factor coupling heavy-equipment airdrop显示文摘Heavy-equipment airdrop is a highly risky procedure that has a complicated system due to the secluded and complex nature of factors' coupling. As a result, it is difficult to study the modeling and safety simulation of this system. The dynamic model of the heavy-equipment airdrop is based on the Lagrange analytical mechanics, which has all the degrees of freedom and can accurately pinpoint the real-time coordinates and attitude of the carrier with its cargo. Unfavorable conditions accounted in the factors' models, including aircraft malfunctions and adverse environments, are established from a man-machine-environment perspective. Subsequently, a virtual simulation system for the safety research of the multi-factor coupling heavy-equipment airdrop is developed through MATLAB/Simulink, C language and Flightgear software. To verify the veracity of the theory, the verification model is built based on dynamic software ADAMS. Finally, the emulation is put to the test with the input of realistic accident variables to ascertain its feasibility and validity of this method. | Zhang Jiuxing Xu Haojun Zhang Dengcheng Liu Dongliang | 2014 | Chinese Journal of Aeronautics2014，27，5： | 8 |
| 3 | MicroRNA-195 and microRNA-378 mediate tumor growth suppression by epigenetical regulation in gastric cancer显示文摘 | Hongxia Deng Yanan Guo Haojun Song Bingxiu Xiao Weiliang Sun Zhong Liu Xiuchong Yu Tian Xia Long Cui Junming Guo | 2013 | Gene2013，，： | 5 |
| 4 | Sustainable and invisible anti-counterfeiting inks based on waterborne polyurethane and upconversion nanoparticles for leather products显示文摘Counterfeit leather products infringe the intellectual property rights of the business,cause enormous economic loss,and negatively influence the business enthusiasm for innovation.However,traditional anti-counterfeiting materials for leather products suffer from complicated fabrication procedures,photobleaching,and high volatile organic com-pound(VOC)emissions.Here,a sustainable and invisible anti-counterfeiting ink composed of waterborne polyure-thane and water-dispersible lanthanide-doped upconversion nanoparticles(UCNPs)featuring ease of preparation,high photostability,non-toxicity,low VOC emissions,and strong adhesion strength for leather products is designed and synthesized.After decorating on the surface of leather products,the obtained patterns are invisible under normal light conditions.Upon irradiation at 808 nm,the invisible patterns can be observed by naked eyes due to the visible light emitted by 808 nm excited UCNPs.Our approach described here opens a new pathway to realize the long-term,stable anti-counterfeiting function of leather products. | Jun Xiang Jianxun Lin Zhonghui Wang Shenglin Zhou Zhenya Wang Qiang Yan Yidong Liu Haojun Fan | 2021 | Journal of Leather Science and Engineering2021，3，1： | 4 |
| 5 | Bloodletting at Jing-well points decreases interstitial fluid flow in the thalamus of rats显示文摘OBJECTIVE: To investigate the changes in the neuronal microenvironment of the middle cerebral artery(MCA) territory induced by Jing-well points bloodletting acupuncture(WPBA) and to explore the neuroprotective mechanism of WPBA in stroke.METHODS: Adult male Sprague Dawley(n = 32)rats were randomly divided into four groups of eight animals each: WPBA-thalamus group(WT),WPBA-caudate nucleus group(WC), sham-control thalamus group(ST) and sham-control caudate nucleus group(SC). Animals in the WT and WC groups received 2 μL of the extracellular tracer gadolinium-diethylene triamine pentaacetic acid(Gd-DTPA)injected into the thalamus or caudate nucleus, respectively, and 12 Jing-well points in the distal ends of the rats' digits were used for WPBA. Although 2 μL of Gd-DTPA was injected into the thalamus or caudate nucleus, respectively, for animals in the two sham groups(ST and SC), no acupuncture or bloodletting was performed. Brain extracellular space and interstitial fluid flow parameters were measured using Gd-DTPA-enhanced magnetic resonance imaging.RESULTS: The brain interstitial fluid flow speed was decreased in the thalamus after WPBA, with a significantly lower Gd-DTPA clearance rate and longer half-life of Gd-DTPA in the thalamus of treated rats than those in sham-control rats [WPBA-treated rats' clearance rate,(7.47 ± 3.15) × 10^(-5)/s(P = 0.009);half-life,(1.52 ± 0.13) h, P = 0.000]. By contrast, no significant changes in brain extracellular space and interstitial fluid flow parameters were detected in the caudate nucleus after WPBA(P = 0.649). In addition, no differences in the morphology of the brain extracellular space or the final distribution of the traced brain interstitial fluid were demonstrated between the WT and WC groups(P = 0.631, P = 0.970,respectively).CONCLUSION: The WPBA decreased the speed of the local thalamic ISF flow in rats, which is assumed to be a beneficial protection by down-modulated the metabolic rate of the attacked neurons under stroke. | FuYu LiYuliang GuoJia Liu Bin Liu Huipo Zhang Weibo Sun Wanli GaoYajuan Ren Qiushi Han Haojun | 2016 | Journal of Traditional Chinese Medicine2016，36，1： | 3 |
| 6 | The polyurethane membranes with temperature sensitivity for water vapor permeation显示文摘 | Chen Yi Liu Yan Fan Haojun | 2007 | Journal of Membrane Science2007，287，2： | 1 |
| 7 | The polyurethane membranes with tem- perature sensitivity for water vapor permeation 显示文摘 | Chen Yi Liu Yan Fan Haojun | 2007 | Journal of Membrane Science2007，287，： | 1 |
| 8 | GPER mediates enhanced cell viability and motility via non-genomic signaling induced by 17β-estradiol in triple-negative breast cancer cells显示文摘 | Tenghua Yu Manran Liu Haojun Luo Chengyi Wu Xi Tang Shifu Tang Ping Hu Yuzhao Yan Zhiliang Wang Gang Tu | 2014 | Journal of Steroid Biochemistry and Molecular Biology2014，，： | 1 |
| 9 | The polyurethane membranes with temperature sensitivity for water vapor permeation显示文摘 | Chen Yi Liu Yan Fan Haojun | 2007 | J Membr Sci2007，287，2： | 1 |
| 10 | Resource allocation schemes in multi-vehicle cooperation systems显示文摘With the rapid development of smart driving and communications technologies,an increasing number of vehicles are cooperating with each other to improve traffc effciency and travel safety.This paper conducts a comprehensive survey of multi-vehicle cooperation from the aspects of control and communication.Firstly,three typical multi-vehicle cooperation scenarios are summarized.Communication issues relating to multi-vehicle cooperation are then introduced,including communication types,requirements,and potential solutions.To address the control requirements,a general resource allocation solution for multi-vehicle cooperation is formulated;speci cally,two types of resource allocation scheme for intersection management are proposed.Finally,performance of the proposed schemes is evaluated and compared. | Hang Liu Haojun Yang Kan Zheng Lei Lei | 2017 | Journal of Communications and Information Networks2017，2，2： | 1 |
| 11 | A novel pre-tanning agent for high exhaustion chromium tannage 显示文摘 | Luan Shifang Liu Yan Fan Haojun | 2007 | JSLTC2007，91，4： | 1 |
| 12 | Effect of betamethasone on neuropathic pain and cerebral expression of NF-κB and cytokines显示文摘 | Weiying Xie Xiaoming Liu Haojun Xuan | 2006 | Neuroscience Letters2006，393，23： | 1 |
| 13 | The polyurethane membranes with temperature sensitivity for water vapor permeation显示文摘 | Chen Yi Liu Yan Fan Haojun | 2007 | Journal of Membrane Science2007，287，2： | 1 |
| 14 | Influence of rapid cooling temperature on the microstructure and the mechanical properties of a high AI dual phase steel 显示文摘 | Deng Haojun Liu Jing Wang Hui | 2011 | Advanced Materials Re- search2011，，311313： | 1 |
| 15 | Optimum design of the 5R symmetrical parallel manipulator with a surrounded and good condition workspace显示文摘 | LIU Xinjun WANG Jinsong ZHENG Haojun | 2006 | Robotics and AutonomousSystems2006，54，： | 1 |
| 16 | Design and test of the anti-skid system for self-propelled high-stem crop sprayers显示文摘Aiming at the problem of skidding in the operation of a self-propelled high-stem crop sprayer due to uneven road surface and uneven distribution of soil cohesive force,This study proposed a four-wheel drive hydraulic anti-skid control system based on RTM valve.Through theoretical analysis of control components such as the RTM valve and steering cylinder,the control model of the anti-skid drive system of the spray machine is established,and the simulation test is carried out in Matlab/Simulink.The simulation results show that the slip rate of the anti-skid drive system based on the PID control strategy is controlled below 0.05,and the RTM valve keeps the driving pressure of the system basically stable.In order to verify the reliability of the simulation results,the designed drive anti-skid control system was carried out on a spray machine for the field test.The experimental results show that the slip rate of the drive anti-skid system decreases from 86.7%to 1.25%when the anti-skid function is turned on,indicating that the designed drive anti-skid system has good anti-skid performance. | Haojun Wen Xinyue Liu Zhetian Yi Zhongxiang Li | 2023 | International Journal of Agricultural and Biological Engineering2023，16，6： | 0 |
| 17 | Double-face intelligent hole position planning method for precision blasting in roadways using a computer-controlled drill jumbo显示文摘To solve the uneven burden of same-type holes reducing the blasting efficiency due to the limitation of drilling equipment,we need a double-face program-controlled planning method for hole position parameters used on a computer-controlled drilling jumbo.The cross-section splits into even and uneven areas.It also considers the uneven burden at the hole’s entrance and bottom.In the uneven area,various qualifying factors are made to optimize the hole spacing and maximize the burden uniformity,combined with the features of the area edges and gridbased segmentation methods.The hole position coordinates and angles in the even area are derived using recursion and iteration algorithms.As a case,this method presents all holes in a 4.8 m wide and 3.6 m high cross-section.Compared with the design produced by the drawing method,our planning in the uneven area improved the standard deviation of the hole burden by 40%.The improved hole layout facilitates the evolution of precise,efficient,and intelligent blasting in underground mines. | Haojun Wu Min Gong Renshu Yang Xiaodong Wu Xiangyu Liu | 2023 | International Journal of Minerals,Metallurgy and Materials2023，30，6： | 0 |
| 18 | Establishment of a prognostic scoring model for regional recurrent nasopharyngeal carcinoma after neck dissection显示文摘Objective:The main aim of this study was to establish a scoring model to predict risk of progression and survival in patients with regionally recurrent nasopharyngeal carcinoma(NPC).Methods:Three hundred and forty-eight patients subjected to neck dissection from 2003 to 2017 were included for study.Clinicopathologic information for each patient was analyzed.Independent prognostic factors were selected using the Cox proportional hazards model and incorporated into the scoring model.Concordance index(C-index)and calibration curves were used to verify discrimination and calibration,respectively and the results validated using bootstrap resampling.Results:Microscopic positive lymph node>2[hazard ratio(HR),2.19;95%confidence interval(CI),1.30–3.68;P=0.003],extranodal extension(HR,2.75;95%CI,1.69–4.47;P<0.001),and lower neck involvement(HR,1.78;95%CI,1.04–3.04;P=0.034)were identified from multivariate analysis as independent factors for overall survival(OS).A qualitative 4-point scale was generated to stratify patients into 4 risk groups for predicting OS and progression-free survival(PFS).The novel scoring model demonstrated enhanced discrimination(C-index=0.69;95%CI,0.62–0.76)relative to the original recurrent tumor-node-metastasis(rTNM)staging system(C-index=0.56;95%CI,0.50–0.62),and was internally validated with a bootstrap-adjusted C-index of 0.70.The calibration curve showed good agreement between predicted probabilities and actual observations.Conclusions:The scoring system established in this study based on a large regionally recurrent NPC cohort fills a gap regarding assessment of risk and prediction of survival outcomes after neck dissection in this population and could be further applied to identify high-risk patients who may benefit from more aggressive intervention. | Xiaoyun Li Chao Lin Jinjie Yan Qiuyan Chen Xuesong Sun Sailan Liu Shanshan Guo Liting Liu Haojun Xie Qingnan Tang Yujing Liang Ling Guo Hao Li Xuekui Liu Xiang Guo Linquan Tang Haiqiang Mai | 2020 | Cancer Biology & Medicine2020，17，1： | 0 |
| 19 | An Automated Detection Approach of Protective Equipment Donning for Medical Staff under COVID-19 Using Deep Learning显示文摘Personal protective equipment(PPE)donning detection for medical staff is a key link of medical operation safety guarantee and is of great significance to combat COVID-19.However,the lack of dedicated datasets makes the scarce research on intelligence monitoring of workers’PPE use in the field of healthcare.In this paper,we construct a dress codes dataset for medical staff under the epidemic.And based on this,we propose a PPE donning automatic detection approach using deep learning.With the participation of health care personnel,we organize 6 volunteers dressed in different combinations of PPE to simulate more dress situations in the preset structured environment,and an effective and robust dataset is constructed with a total of 5233 preprocessed images.Starting from the task’s dual requirements for speed and accuracy,we use the YOLOv4 convolutional neural network as our learning model to judge whether the donning of different PPE classes corresponds to the body parts of the medical staff meets the dress codes to ensure their self-protection safety.Experimental results show that compared with three typical deeplearning-based detection models,our method achieves a relatively optimal balance while ensuring high detection accuracy(84.14%),with faster processing time(42.02 ms)after the average analysis of 17 classes of PPE donning situation.Overall,this research focuses on the automatic detection of worker safety protection for the first time in healthcare,which will help to improve its technical level of risk management and the ability to respond to potentially hazardous events. | Qiang Zhang Ziyu Pei Rong Guo Haojun Zhang Wanru Kong Jie Lu Xueyan Liu | 2022 | Computer Modeling in Engineering & Sciences2022，，9： | 0 |
| 20 | Monaural speech enhancement combining accurate ratio mask and deep neural network显示文摘Aiming at the problem that the supervised speech enhancement ignores the impact of the similarity of amplitude spectrum between clean speech,noise,and noisy speech on the enhancement effect,a method combining accurate ratio mask(ARM)and deep neural network(DNN)is proposed for monaural speech enhancement.Firstly,an accurate ratio mask based on ideal ratio mask in the time-frequency domain is designed,which utilizes the normalized cross-correlation coefficients of amplitude spectrum between clean speech and noisy speech,and between noise and noisy speech.Then,the target mask is estimated by the output of the baseline DNN which takes the amplitude spectrum of clean speech and noise as training target,and further uses the target mask to optimize the baseline DNN and gets the enhanced speech from noisy speech.Moreover,considering the discriminative information between clean speech and noise,a discriminative training function is used to replace the mean square error(MSE)as the objective function of the DNN,thus making the output of network more accurate.The experimental results show that the discriminative training function improves the enhancement effect of baseline DNN and the overall joint optimization network.Compared with other common DNN methods,the proposed method has achieved higher average PESQ,STOI and better noise suppression effect under matched and unmatched noise,and the enhanced speech also retains more speech components. | BAI Haojun ZHANG Tianqi LIU Jianxing YE Shaopeng | 2022 | Chinese Journal of Acoustics2022，41，4： | 0 |
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