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arriver,avoirlieu,sedrouler,sepasser,seproduire以及survenir用法比较
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作者 傅荣 《法语学习》 2003年第3期30-33,共4页
关键词 动词用法 法语 arriver avoir lieu sedérouler se PASSER SE produire survenir 词汇比较 词法
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《动物研究:体内实验报告》即ARRIVE 2.0指南的解释和阐述(五)
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作者 马政文 李夏莹 +10 位作者 刘晓宇 李垚 王剑 卢今 陈国元 卢晓 白玉 卢选成 刘永刚 陶雨风 庞万勇 《实验动物与比较医学》 CAS 2024年第1期105-114,共10页
提高生物医学研究结果的可重复性是一项重大挑战,研究人员透明且准确地报告其研究过程有利于读者对该研究结果的可靠性进行评估,进而重复该实验或在该成果的基础上进一步探索。ARRIVE 2.0指南是英国国家3Rs中心(NC3Rs)于2019年组织发布... 提高生物医学研究结果的可重复性是一项重大挑战,研究人员透明且准确地报告其研究过程有利于读者对该研究结果的可靠性进行评估,进而重复该实验或在该成果的基础上进一步探索。ARRIVE 2.0指南是英国国家3Rs中心(NC3Rs)于2019年组织发布的一份适用于任何与活体动物研究报告相关的指导性清单,用以提高动物体内实验设计、实验实施和实验报告的规范性,以及动物实验结果的可靠性、可重复性和临床转化率。ARRIVE 2.0指南的使用不仅可以丰富动物实验研究报告的细节,确保动物实验结果信息被充分评估和利用,还可以使读者准确且清晰地了解作者所表述的内容,促进基础研究评审过程的透明化和完整性。本文是在国际期刊遵循ARRIVE 2.0指南的最佳实践基础上,对2020年发表于PLoS Biology期刊上的ARRIVE 2.0指南完整解读版(https://arriveguidelines.org)第五部分包括“推荐11条”里的第6~11条:“动物照护和监测”、“解析/科学阐释”、“可推广性/转化”、“研究方案注册”、“数据获取”和“利益冲突声明”等内容进行了编译、解释和阐述,以期促进国内研究人员充分理解并使用ARRIVE 2.0指南,提高实验动物研究及报告的规范性,助推我国实验动物科技与比较医学研究的高质量发展。 展开更多
关键词 动物实验 ARRIVE 2.0指南 ARRIVE推荐11条 疼痛管理 动物照护和监测
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Real-time arrival picking of rock microfracture signals based on convolutional-recurrent neural network and its engineering application 被引量:1
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作者 Bing-Rui Chen Xu Wang +2 位作者 Xinhao Zhu Qing Wang Houlin Xie 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2024年第3期761-777,共17页
Accurately picking P-and S-wave arrivals of microseismic(MS)signals in real-time directly influences the early warning of rock mass failure.A common contradiction between accuracy and computation exists in the current... Accurately picking P-and S-wave arrivals of microseismic(MS)signals in real-time directly influences the early warning of rock mass failure.A common contradiction between accuracy and computation exists in the current arrival picking methods.Thus,a real-time arrival picking method of MS signals is constructed based on a convolutional-recurrent neural network(CRNN).This method fully utilizes the advantages of convolutional layers and gated recurrent units(GRU)in extracting short-and long-term features,in order to create a precise and lightweight arrival picking structure.Then,the synthetic signals with field noises are used to evaluate the hyperparameters of the CRNN model and obtain an optimal CRNN model.The actual operation on various devices indicates that compared with the U-Net method,the CRNN method achieves faster arrival picking with less performance consumption.An application of large underground caverns in the Yebatan hydropower station(YBT)project shows that compared with the short-term average/long-term average(STA/LTA),Akaike information criterion(AIC)and U-Net methods,the CRNN method has the highest accuracy within four sampling points,which is 87.44%for P-wave and 91.29%for S-wave,respectively.The sum of mean absolute errors(MAESUM)of the CRNN method is 4.22 sampling points,which is lower than that of the other methods.Among the four methods,the MS sources location calculated based on the CRNN method shows the best consistency with the actual failure,which occurs at the junction of the shaft and the second gallery.Thus,the proposed method can pick up P-and S-arrival accurately and rapidly,providing a reference for rock failure analysis and evaluation in engineering applications. 展开更多
关键词 Rock mass failure Microseismic event P-wave arrival S-wave arrival Deep learning
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Three-Dimensional Sound Source Location Algorithm for Subsea Leakage Using Hydrophone 被引量:1
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作者 LI Hao-jie CAI Bao-ping +6 位作者 YUAN Xiao-bing KONG Xiang-di LIU Yong-hong Javed Akbar KHAN CHU Zheng-de YANG Chao TANG An-bang 《China Ocean Engineering》 SCIE EI CSCD 2024年第2期326-337,共12页
Leakages from subsea oil and gas equipment cause substantial economic losses and damage to marine ecosystem,so it is essential to locate the source of the leak.However,due to the complexity and variability of the mari... Leakages from subsea oil and gas equipment cause substantial economic losses and damage to marine ecosystem,so it is essential to locate the source of the leak.However,due to the complexity and variability of the marine environment,the signals collected by hydrophone contain a variety of noises,which makes it challenging to extract useful signals for localization.To solve this problem,a hydrophone denoising algorithm is proposed based on variational modal decomposition(VMD)with grey wolf optimization.First,the average envelope entropy is used as the fitness function of the grey wolf optimizer to find the optimal solution for the parameters K andα.Afterward,the VMD algorithm decomposes the original signal parameters to obtain the intrinsic mode functions(IMFs).Subsequently,the number of interrelationships between each IMF and the original signal was calculated,the threshold value was set,and the noise signal was removed to calculate the time difference using the valid signal obtained by reconstruction.Finally,the arrival time difference is used to locate the origin of the leak.The localization accuracy of the method in finding leaks is investigated experimentally by constructing a simulated leak test rig,and the effectiveness and feasibility of the method are verified. 展开更多
关键词 grey wolf optimizer variational modal decomposition mean envelope entropy correlation coefficient time difference of arrival
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Localization in modified polar representation: hybrid measurements and closed-form solution
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作者 CONG Xunchao SUN Yimao +2 位作者 YANG Yanbing ZHANG Lei CHEN Liangyin 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2024年第3期575-588,共14页
Classical localization methods use Cartesian or Polar coordinates, which require a priori range information to determine whether to estimate position or to only find bearings. The modified polar representation (MPR) u... Classical localization methods use Cartesian or Polar coordinates, which require a priori range information to determine whether to estimate position or to only find bearings. The modified polar representation (MPR) unifies near-field and farfield models, alleviating the thresholding effect. Current localization methods in MPR based on the angle of arrival (AOA) and time difference of arrival (TDOA) measurements resort to semidefinite relaxation (SDR) and Gauss-Newton iteration, which are computationally complex and face the possible diverge problem. This paper formulates a pseudo linear equation between the measurements and the unknown MPR position,which leads to a closed-form solution for the hybrid TDOA-AOA localization problem, namely hybrid constrained optimization(HCO). HCO attains Cramér-Rao bound (CRB)-level accuracy for mild Gaussian noise. Compared with the existing closed-form solutions for the hybrid TDOA-AOA case, HCO provides comparable performance to the hybrid generalized trust region subproblem (HGTRS) solution and is better than the hybrid successive unconstrained minimization (HSUM) solution in large noise region. Its computational complexity is lower than that of HGTRS. Simulations validate the performance of HCO achieves the CRB that the maximum likelihood estimator (MLE) attains if the noise is small, but the MLE deviates from CRB earlier. 展开更多
关键词 LOCALIZATION modified polar representation time difference of arrival(TDOA) angle of arrival(AOA) closed-form solution
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Cyclic Beam Direction of Arrival Estimation Method for Ship Propeller Noise
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作者 ZHANG Xiaowei NIE Weihang +1 位作者 XU Ji YAN Yonghong 《Journal of Ocean University of China》 SCIE CAS CSCD 2024年第4期883-896,共14页
In underwater acoustic applications,the conventional cyclic direction of arrival algorithm faces challenges,including a low signal-to-noise ratio and high bandwidth when compared with modulated frequencies.In response... In underwater acoustic applications,the conventional cyclic direction of arrival algorithm faces challenges,including a low signal-to-noise ratio and high bandwidth when compared with modulated frequencies.In response to these issues,this paper introduces a novel,robust,and broadband cyclic beamforming algorithm.The proposed method substitutes the conventional cyclic covariance matrix with the variance of the cyclic covariance matrix as its primary feature.Assuming that the same frequency band shares a common steering vector,the new algorithm achieves superior detection performance for targets with specific modulation frequencies while suppressing interference signals and background noise.Experimental results demonstrate a significant enhancement in the directibity index by 81%and 181%when compared with the traditional Capon beamforming algorithm and the traditional extended wideband spectral cyclic MUSIC(EWSCM)algorithm,respectively.Moreover,the proposed algorithm substantially reduces computational complexity to 1/40th of that of the EWSCM algorithm,employing frequency band statistical averaging and covariance matrix variance. 展开更多
关键词 CYCLOSTATIONARITY direction of arrival extended wideband spectral cyclic music cyclic covariance matrix
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Enhancing microseismic/acoustic emission source localization accuracy with an outlier-robust kernel density estimation approach
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作者 Jie Chen Huiqiong Huang +4 位作者 Yichao Rui Yuanyuan Pu Sheng Zhang Zheng Li Wenzhong Wang 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2024年第7期943-956,共14页
Monitoring sensors in complex engineering environments often record abnormal data,leading to significant positioning errors.To reduce the influence of abnormal arrival times,we introduce an innovative,outlier-robust l... Monitoring sensors in complex engineering environments often record abnormal data,leading to significant positioning errors.To reduce the influence of abnormal arrival times,we introduce an innovative,outlier-robust localization method that integrates kernel density estimation(KDE)with damping linear correction to enhance the precision of microseismic/acoustic emission(MS/AE)source positioning.Our approach systematically addresses abnormal arrival times through a three-step process:initial location by 4-arrival combinations,elimination of outliers based on three-dimensional KDE,and refinement using a linear correction with an adaptive damping factor.We validate our method through lead-breaking experiments,demonstrating over a 23%improvement in positioning accuracy with a maximum error of 9.12 mm(relative error of 15.80%)—outperforming 4 existing methods.Simulations under various system errors,outlier scales,and ratios substantiate our method’s superior performance.Field blasting experiments also confirm the practical applicability,with an average positioning error of 11.71 m(relative error of 7.59%),compared to 23.56,66.09,16.95,and 28.52 m for other methods.This research is significant as it enhances the robustness of MS/AE source localization when confronted with data anomalies.It also provides a practical solution for real-world engineering and safety monitoring applications. 展开更多
关键词 Microseismic source/acoustic emission(MS/AE) Kernel density estimation(KDE) Damping linear correction Source location Abnormal arrivals
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DOA estimation of high-dimensional signals based on Krylov subspace and weighted l_(1)-norm
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作者 YANG Zeqi LIU Yiheng +4 位作者 ZHANG Hua MA Shuai CHANG Kai LIU Ning LYU Xiaode 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2024年第3期532-540,F0002,共10页
With the extensive application of large-scale array antennas,the increasing number of array elements leads to the increasing dimension of received signals,making it difficult to meet the real-time requirement of direc... With the extensive application of large-scale array antennas,the increasing number of array elements leads to the increasing dimension of received signals,making it difficult to meet the real-time requirement of direction of arrival(DOA)estimation due to the computational complexity of algorithms.Traditional subspace algorithms require estimation of the covariance matrix,which has high computational complexity and is prone to producing spurious peaks.In order to reduce the computational complexity of DOA estimation algorithms and improve their estimation accuracy under large array elements,this paper proposes a DOA estimation method based on Krylov subspace and weighted l_(1)-norm.The method uses the multistage Wiener filter(MSWF)iteration to solve the basis of the Krylov subspace as an estimate of the signal subspace,further uses the measurement matrix to reduce the dimensionality of the signal subspace observation,constructs a weighted matrix,and combines the sparse reconstruction to establish a convex optimization function based on the residual sum of squares and weighted l_(1)-norm to solve the target DOA.Simulation results show that the proposed method has high resolution under large array conditions,effectively suppresses spurious peaks,reduces computational complexity,and has good robustness for low signal to noise ratio(SNR)environment. 展开更多
关键词 direction of arrival(DOA) compressed sensing(CS) Krylov subspace l_(1)-norm dimensionality reduction
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Underdetermined direction of arrival estimation with nonuniform linear motion sampling based on a small unmanned aerial vehicle platform
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作者 Xinwei Wang Xiaopeng Yan +2 位作者 Tai An Qile Chen Dingkun Huang 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第3期352-363,共12页
Uniform linear array(ULA)radars are widely used in the collision-avoidance radar systems of small unmanned aerial vehicles(UAVs).In practice,a ULA's multi-target direction of arrival(DOA)estimation performance suf... Uniform linear array(ULA)radars are widely used in the collision-avoidance radar systems of small unmanned aerial vehicles(UAVs).In practice,a ULA's multi-target direction of arrival(DOA)estimation performance suffers from significant performance degradation owing to the limited number of physical elements.To improve the underdetermined DOA estimation performance of a ULA radar mounted on a small UAV platform,we propose a nonuniform linear motion sampling underdetermined DOA estimation method.Using the motion of the UAV platform,the echo signal is sampled at different positions.Then,according to the concept of difference co-array,a virtual ULA with multiple array elements and a large aperture is synthesized to increase the degrees of freedom(DOFs).Through position analysis of the original and motion arrays,we propose a nonuniform linear motion sampling method based on ULA for determining the optimal DOFs.Under the condition of no increase in the aperture of the physical array,the proposed method obtains a high DOF with fewer sampling runs and greatly improves the underdetermined DOA estimation performance of ULA.The results of numerical simulations conducted herein verify the superior performance of the proposed method. 展开更多
关键词 Unmanned aerial vehicle(UAV) Uniform linear array(ULA) Direction of arrival(DOA) Difference co-array Nonuniform linear motion sampling method
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A Novel CCA-NMF Whitening Method for Practical Machine Learning Based Underwater Direction of Arrival Estimation
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作者 Yun Wu Xinting Li Zhimin Cao 《Journal of Beijing Institute of Technology》 EI CAS 2024年第2期163-174,共12页
Underwater direction of arrival(DOA)estimation has always been a very challenging theoretical and practical problem.Due to the serious non-stationary,non-linear,and non-Gaussian characteristics,machine learning based ... Underwater direction of arrival(DOA)estimation has always been a very challenging theoretical and practical problem.Due to the serious non-stationary,non-linear,and non-Gaussian characteristics,machine learning based DOA estimation methods trained on simulated Gaussian noised array data cannot be directly applied to actual underwater DOA estimation tasks.In order to deal with this problem,environmental data with no target echoes can be employed to analyze the non-Gaussian components.Then,the obtained information about non-Gaussian components can be used to whiten the array data.Based on these considerations,a novel practical sonar array whitening method was proposed.Specifically,based on a weak assumption that the non-Gaussian components in adjacent patches with and without target echoes are almost the same,canonical cor-relation analysis(CCA)and non-negative matrix factorization(NMF)techniques are employed for whitening the array data.With the whitened array data,machine learning based DOA estimation models trained on simulated Gaussian noised datasets can be used to perform underwater DOA estimation tasks.Experimental results illustrated that,using actual underwater datasets for testing with known machine learning based DOA estimation models,accurate and robust DOA estimation performance can be achieved by using the proposed whitening method in different underwater con-ditions. 展开更多
关键词 direction of arrival(DOA) sonar array data underwater disturbance machine learn-ing canonical correlation analysis(CCA) non-negative matrix factorization(NMF)
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Study on the pattern of train arrival headway time in high-speed railway
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作者 Changhai Tian Shoushuai Zhang 《Railway Sciences》 2024年第3期344-366,共23页
Purpose-The design goal for the tracking interval of high-speed railway trains in China is 3 min,but it is difficult to achieve,and it is widely believed that it is mainly limited by the tracking interval of train arr... Purpose-The design goal for the tracking interval of high-speed railway trains in China is 3 min,but it is difficult to achieve,and it is widely believed that it is mainly limited by the tracking interval of train arrivals.If the train arrival tracking interval can be compressed,it will be beneficial for China's high-speed railway to achieve a 3-min train tracking interval.The goal of this article is to study how to compress the train arrival tracking interval.Design/methodologylapproach-By simulating the process of dense train groups arriving at the station and stopping,the headway between train arrivals at the station was calculated,and the pattern of train arrival headway was obtained,changing the traditional understanding that the train arrival headway is considered the main factor limiting the headway of trains.Findings-When the running speed of trains is high,the headway between trains is short,the length of the station approach throat area is considerable and frequent train arrivals at the station,the arrival headway for the first group or several groups of trains will exceed the headway,but the subsequent sets of trains will havea headway equal to the arrival headway.This convergence characteristic is obtained by appropriately increasing the running time.Originality/value-According to this pattern,there is no need to overly emphasize the impact of train arrival headway on the headway.This plays an important role in compressing train headway and improving high-speedrailwaycapacity. 展开更多
关键词 High speed railway Train headway Train arrival headway Regular pattern Paper type Research paper
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Optimization study of station track utilization in high-speed railroad based on constraints of control in random origin and process
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作者 Yajing Zheng Dekun Zhang 《Railway Sciences》 2024年第3期332-343,共12页
Purpose-The purpose of this paper is to eliminate the fluctuations in train arrival and departure times caused by skewed distributions in interval operation times.These fluctuations arise from random origin and proces... Purpose-The purpose of this paper is to eliminate the fluctuations in train arrival and departure times caused by skewed distributions in interval operation times.These fluctuations arise from random origin and process factors during interval operations and can accumulate over multiple intervals.The aim is to enhance the robustness of high-speed rail station arrival and departure track utilization schemes.Design/methodologylapproach-To achieve this objective,the paper simulates actual train operations,incorporating the fluctuations in interval operation times into the utilization of arrival and departure tracks at the station.The Monte Carlo simulation method is adopted to solve this problem.This approach transforms a nonlinear model,which includes constraints from probability distribution functions and is difficult to solve directly,into a linear programming model that is easier to handle.The method then linearly weights two objectives to optimize the solution.Findings-Through the application of Monte Carlo simulation,the study successfully converts the complex nonlinear model with probability distribution function constraints into a manageable linear programming model.By continuously adjusting the weighting coefficients of the linear objectives,the method is able to optimize the Pareto solution.Notably,this approach does not require extensive scene data to obtain a satisfactory Pareto solution set.Originality/value-The paper contributes to the field by introducing a novel method for optimizing high-speed rail station arrival and departure track utilization in the presence of fluctuations in interval operation times.The use of Monte Carlo simulation to transform the problem into a tractable linear programming model represents a significant advancement.Furthermore,the method's ability to produce satisfactory Pareto solutions without relying on extensive data sets adds to its practical value and applicability in real-world scenarios. 展开更多
关键词 Control in random origin Control in random process High-speed railroad station Arrival and departure track utilization Optimization Paper type Research paper
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Comprehensive analysis of the impact of primary percutaneous coronary intervention on patients with ST-segment elevation myocardial infarction
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作者 Ayrton I Bangolo Nikita Wadhwani 《World Journal of Experimental Medicine》 2024年第4期170-173,共4页
This comprehensive analysis by Saeed and Faeq investigates the impact of primary percutaneous coronary intervention(pPCI)on mortality among patients with ST-segment elevation myocardial infarction(STEMI)at the Erbil C... This comprehensive analysis by Saeed and Faeq investigates the impact of primary percutaneous coronary intervention(pPCI)on mortality among patients with ST-segment elevation myocardial infarction(STEMI)at the Erbil Cardiac Center.Analyzing data from 96 consecutive STEMI patients,the study identified significant predictors of in-hospital mortality,emphasizing the critical impact of time of hospital arrival post-symptom onset on overall prognosis.Findings indicate that factors such as atypical presentation,cardiogenic shock,chronic kidney disease,and specific coronary complications are associated with higher mortality rates.The study underscores the necessity of prompt medical intervention for improving survival outcomes in STEMI patients,especially in the high-risk subgroup.This research offers valuable insights into optimizing STEMI management and enhancing patient survival rates through effective and timely pPCI. 展开更多
关键词 ST-segment elevation myocardial infarction Primary percutaneous coronary intervention Mortality predictors Timely hospital arrival Cardiogenic shock
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Comparative Analysis of the Factors Influencing Metro Passenger Arrival Volumes in Wuhan, China, and Lagos, Nigeria: An Application of Association Rule Mining and Neural Network Models
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作者 Bello Muhammad Lawan Jabir Abubakar Shuyang Zhang 《Journal of Transportation Technologies》 2024年第4期607-653,共47页
This study explores the factors influencing metro passengers’ arrival volume in Wuhan, China, and Lagos, Nigeria, by examining weather, time of day, waiting time, travel behavior, arrival patterns, and metro satisfac... This study explores the factors influencing metro passengers’ arrival volume in Wuhan, China, and Lagos, Nigeria, by examining weather, time of day, waiting time, travel behavior, arrival patterns, and metro satisfaction. It addresses a significant research gap in understanding metro passengers’ dynamics across cultural and geographical contexts. It employs questionnaires, field observations, and advanced data analysis techniques like association rule mining and neural network modeling. Key findings include a correlation between rainy weather, shorter waiting times, and higher arrival volumes. Neural network models showed high predictive accuracy, with waiting time, metro satisfaction, and weather being significant factors in Lagos Light Rail Blue Line Metro. In contrast, arrival patterns, weather, and time of day were more influential in Wuhan Metro Line 5. Results suggest that improving metro satisfaction and reducing waiting times could increase arrival volumes in Lagos Metro while adjusting schedules for weather and peak times could optimize flow in Wuhan Metro. These insights are valuable for transportation planning, passenger arrival volume management, and enhancing user experiences, potentially benefiting urban transportation sustainability and development goals. 展开更多
关键词 Metro Passenger Arrival volume Influencing Factor Analysis Wuhan and Lagos Metro Neural Network Modeling Association Rule Mining Technique
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《动物研究:体内实验报告》即ARRIVE 2.0指南的解释与阐述(三) 被引量:2
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作者 刘晓宇 卢选成 +10 位作者 师晓萌 张雨舟 吕超 陈国元 卢晓 白玉 高静 李垚 刘永刚 陶雨风 庞万勇 《实验动物与比较医学》 CAS 2023年第4期446-456,共11页
提高生物医学研究结果的可重复性是一项重大挑战,研究人员透明且准确地报告其研究过程有利于读者对该研究结果的可靠性进行评估,进而重复该实验或在该成果的基础上进一步探索。ARRIVE 2.0指南是英国国家3Rs中心(NC3Rs)于2019年组织发布... 提高生物医学研究结果的可重复性是一项重大挑战,研究人员透明且准确地报告其研究过程有利于读者对该研究结果的可靠性进行评估,进而重复该实验或在该成果的基础上进一步探索。ARRIVE 2.0指南是英国国家3Rs中心(NC3Rs)于2019年组织发布的一份适用于任何与活体动物研究报告相关的指导性清单,用以提高动物体内实验设计、实验实施和实验报告的规范性,以及动物实验结果的可靠性、可重复性和临床转化率。ARRIVE 2.0指南的使用不仅可以丰富动物实验研究报告的细节,确保动物实验结果信息被充分评估和利用,还可以使读者准确且清晰地了解作者所表述的内容,促进基础研究评审过程的透明化和完整性。目前,ARRIVE 2.0指南已经被国际生物医学期刊广泛采纳。本文是在国际期刊遵循ARRIVE 2.0指南的最佳实践基础上,对2020年发表于PLoS Biology期刊上的ARRIVE 2.0指南完整解读版(原文请见https://arriveguidelines.org)进行中文编译(第三部分包括“关键10条”里的第8~10条:“实验动物”、“实验步骤”和“结果”部分),以期促进国内研究人员充分理解并使用ARRIVE 2.0指南,提高实验动物研究及报告的规范性,助推我国实验动物科技与比较医学研究的高质量发展。 展开更多
关键词 动物实验 ARRIVE 2.0指南 ARRIVE关键10条 实验动物 实验步骤 实验结果
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《动物研究:体内实验报告》即ARRIVE 2.0指南的解释和阐述(四) 被引量:1
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作者 李夏莹 田永路 +9 位作者 刘晓宇 卢选成 陈国元 卢晓 白玉 高静 李垚 陶雨风 庞万勇 韦玉生 《实验动物与比较医学》 CAS 2023年第6期659-668,共10页
提高生物医学研究结果的可重复性是一项重大挑战,研究人员透明且准确地报告其研究过程有利于读者对该研究结果的可靠性进行评估,进而重复该实验或在该成果的基础上进一步探索。ARRIVE 2.0指南是英国国家3Rs中心(NC3Rs)于2019年组织发布... 提高生物医学研究结果的可重复性是一项重大挑战,研究人员透明且准确地报告其研究过程有利于读者对该研究结果的可靠性进行评估,进而重复该实验或在该成果的基础上进一步探索。ARRIVE 2.0指南是英国国家3Rs中心(NC3Rs)于2019年组织发布的一份适用于任何与活体动物研究报告相关的指导性清单,用以提高动物体内实验设计、实验实施和实验报告的规范性,以及动物实验结果的可靠性、可重复性和临床转化率。ARRIVE 2.0指南的使用不仅可以丰富动物实验研究报告的细节,确保动物实验结果信息被充分评估和利用,还可以使读者准确且清晰地了解作者所表述的内容,促进基础研究评审过程的透明化和完整性。本文是在国际期刊遵循ARRIVE 2.0指南的最佳实践基础上,对2020年发表于PLoS Biology期刊上的ARRIVE 2.0指南完整解读版(https://arriveguidelines.org)第四部分包括“推荐11条”里的第1~5条:“摘要”、“研究背景”、“研究目标”、“伦理声明”和“饲养场所和饲养”等内容进行了编译、解释和阐述,以期促进国内研究人员充分理解并使用ARRIVE 2.0指南,提高实验动物研究及报告的规范性,助推我国实验动物科技与比较医学研究的高质量发展。 展开更多
关键词 动物实验 ARRIVE 2.0指南 ARRIVE推荐11条 摘要 研究背景 研究目标 伦理声明 饲养场所和饲养
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动物实验研究报告的国际指南ARRIVE 2.0介绍及期刊实施计划 被引量:3
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作者 张俊彦 刘晓宇 +6 位作者 李垚 陈国元 卢晓 白玉 卢选成 庞万勇 吴宝金 《实验动物与比较医学》 CAS 2023年第1期86-94,共9页
动物实验在生物医药科学研究过程中发挥着重要作用,是基础医学向临床医学转化的必要途径。动物实验研究及报告的规范性决定了研究结果的可靠性和可重复性,也是其研究成果能够向临床试验转化应用的关键。针对如何更加规范地设计、实施动... 动物实验在生物医药科学研究过程中发挥着重要作用,是基础医学向临床医学转化的必要途径。动物实验研究及报告的规范性决定了研究结果的可靠性和可重复性,也是其研究成果能够向临床试验转化应用的关键。针对如何更加规范地设计、实施动物实验,撰写动物实验报告,以及发表相关学术论文,《实验动物与比较医学》期刊从2023年起推出“比较医学研究及报告规范”专栏,重点推介并解读实验动物与比较医学相关的国际通用规范,如ARRIVE 2.0等。本文对动物实验研究报告的国际指南ARRIVE 2.0的制定和使用、基本内容和优先级别,以及国际生物医学期刊实施ARRIVE 2.0指南的计划方案进行了重点介绍,并说明《实验动物与比较医学》期刊遵循ARRIVE 2.0指南的目前情况及未来计划。动物实验医学研究及报告遵循ARRIVE 2.0指南等国际规范是助推我国实验动物科学与生物医药学高质量发展的重要动力之一,也是落实3R原则和提高实验动物福利强有力的一种手段,广大科研工作者和期刊工作者均应该高度重视并积极践行。 展开更多
关键词 动物实验 研究设计 论文发表 ARRIVE 2.0指南 生物医学期刊
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《动物研究:体内实验报告》即ARRIVE 2.0指南的解释和阐述(二) 被引量:3
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作者 陈国元 卢晓 +9 位作者 白玉 于灵芝 乔颖 王剑 卢今 刘晓宇 卢选成 高静 李垚 庞万勇 《实验动物与比较医学》 CAS 2023年第3期323-331,共9页
提高生物医学研究结果的可重复性是一项重大挑战,研究人员透明且准确地报告其研究过程有利于读者评估该研究结果的可靠性,进而重复该实验或在该成果的基础上进一步探索。ARRIVE 2.0指南是英国国家3Rs中心(NC3Rs)于2019年组织发布的一份... 提高生物医学研究结果的可重复性是一项重大挑战,研究人员透明且准确地报告其研究过程有利于读者评估该研究结果的可靠性,进而重复该实验或在该成果的基础上进一步探索。ARRIVE 2.0指南是英国国家3Rs中心(NC3Rs)于2019年组织发布的一份适用于任何与活体动物研究报告相关的指导性清单,用以提高动物体内实验设计、实验实施和实验报告的规范性,以及动物实验结果的可靠性、可重复性和临床转化率。ARRIVE 2.0指南的使用不仅可以丰富动物实验研究报告的细节,确保动物实验结果信息被充分评估和利用,还可以使读者准确且清晰地了解作者所表述的内容,促进基础研究评审过程的透明化和完整性。目前,ARRIVE 2.0指南已经被国际生物医学期刊广泛采纳。本文是在国际期刊遵循ARRIVE 2.0指南的最佳实践基础上,对2020年发表于PLoS Biology期刊上的ARRIVE 2.0指南完整解读版(原文请见https://arriveguidelines.org)进行中文编译(第二部分包括“关键10条”里的第4~7条:“随机化”、“盲法”、“结果测量”和“统计方法”等部分),以期促进国内研究人员充分理解并使用ARRIVE 2.0指南,提高实验动物研究及报告的规范性,助推我国实验动物科技与比较医学研究的高质量发展。 展开更多
关键词 动物实验 ARRIVE 2.0指南 ARRIVE关键10条 随机化 盲法 结果测量 统计方法
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《动物研究:体内实验报告》即ARRIVE 2.0指南的解释和阐述(一) 被引量:4
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作者 王剑 卢今 +8 位作者 马政文 陈国元 卢晓 白玉 刘晓宇 卢选成 高静 李垚 庞万勇 《实验动物与比较医学》 CAS 2023年第2期213-224,共12页
提高生物医学研究结果的可重复性是一项重大挑战,研究人员透明且准确地报告其研究过程有利于读者对该研究结果的可靠性进行评估,进而重复该实验或在该成果的基础上进一步探索。ARRIVE 2.0指南是2019年英国国家3Rs中心(NC3Rs)组织发布的... 提高生物医学研究结果的可重复性是一项重大挑战,研究人员透明且准确地报告其研究过程有利于读者对该研究结果的可靠性进行评估,进而重复该实验或在该成果的基础上进一步探索。ARRIVE 2.0指南是2019年英国国家3Rs中心(NC3Rs)组织发布的一份适用于任何与活体动物研究报告相关的指导性清单,用以提高动物体内实验设计、实验实施和实验报告的规范性,以及动物实验结果的可靠性、可重复性和临床转化率。ARRIVE 2.0指南的使用不仅可以丰富动物实验研究报告的细节,确保动物实验结果信息被充分评估和利用,还可以使读者准确且清晰地了解作者所表述的内容,促进基础研究评审过程的透明化和完整性。目前,ARRIVE 2.0指南已经被国际生物医学期刊广泛采纳。本文是在国际期刊遵循ARRIVE 2.0指南的最佳实践基础上,对2020年发表于PLoS Biology期刊上的ARRIVE 2.0指南完整解读版(原文请见https://arriveguidelines.org)进行中文编译(第一部分包括前言和“关键10条”里的“研究设计”“样本量”“纳入和排除标准”),以期促进国内研究人员充分理解并使用ARRIVE 2.0指南,提高实验动物研究及报告的规范性,助推我国实验动物科技与比较医学研究的高质量发展。 展开更多
关键词 动物实验 ARRIVE 2.0指南 ARRIVE关键10条 研究设计 样本量 纳入和排除标准
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Hybrid TDOA/FDOA and track optimization of UAV swarm based on A-optimality 被引量:1
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作者 LI Hao SUN Hemin +1 位作者 ZHOU Ronghua ZHANG Huainian 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2023年第1期149-159,共11页
The source location based on the hybrid time difference of arrival(TDOA)/frequency difference of arrival(FDOA) is a basic problem in wireless sensor networks, and the layout of sensors in the hybrid TDOA/FDOA position... The source location based on the hybrid time difference of arrival(TDOA)/frequency difference of arrival(FDOA) is a basic problem in wireless sensor networks, and the layout of sensors in the hybrid TDOA/FDOA positioning will greatly affect the accuracy of positioning. Using unmanned aerial vehicle(UAV) as base stations, by optimizing the trajectory of the UAV swarm, an optimal positioning configuration is formed to improve the accuracy of the target position and velocity estimation. In this paper, a hybrid TDOA/FDOA positioning model is first established, and the positioning accuracy of the hybrid TDOA/FDOA under different positioning configurations and different measurement errors is simulated by the geometric dilution of precision(GDOP) factor. Second, the Cramer-Rao lower bound(CRLB) matrix of hybrid TDOA/FDOA location under different moving states of the target is derived theoretically, the objective function of the track optimization is obtained, and the track of the UAV swarm is optimized in real time. The simulation results show that the track optimization effectively improves the accuracy of the target position and velocity estimation. 展开更多
关键词 unmanned aerial vehicle(UAV)swarm time difference of arrival(TDOA) frequency difference of arrival(FDOA) A-OPTIMALITY track optimization
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