Correlation between clinicopathological parameters of lung adenocarcinoma and lymph node metastasis

Objective The aim of the study was to study the correlation between the clinicopathological parameters of lung adenocarcinoma and lymph node metastasis and identify the risk factors of lymph node metastasis.Methods The data of 258 patients with postoperative lung adenocarcinoma(mainly based on their pathological data)were collected and analyzed,and their basic information was counted.Results Maximum tumor diameter was found to be an independent risk factor for lymph node metastasis.The larger the maximum diameter of the tumor in patients with lung adenocarcinoma,the higher the likelihood of lymph node metastasis.Solid predominant adenocarcinoma with mucin production is as an independent risk factor for superior mediastinal and subcarinal lymph node metastasis.Primary adenocarcinomas in the lower lobe of the lung may have a higher rate of lymph node metastasis than those in the upper lobe.Conclusion The known pathological subtypes of lung adenocarcinoma can be used for the prediction of lymph node metastasis in various regions and guide the dissection of lymph nodes that would improve patients’prognosis.

Overview of SMP-CAIL2020-Argmine:The Interactive Argument-Pair Extraction in Judgement Document Challenge

In this paper we present the results of the Interactive Argument-Pair Extraction in Judgement Document Challenge held by both the Chinese AI and Law Challenge(CAIL)and the Chinese National Social Media Processing Conference(SMP),and introduce the related data set-SMP-CAIL2020-Argmine.The task challenged participants to choose the correct argument among five candidates proposed by the defense to refute or acknowledge the given argument made by the plaintiff,providing the full context recorded in the judgement documents of both parties.We received entries from 63 competing teams,38 of which scored higher than the provided baseline model(BERT)in the first phase and entered the second phase.The best performing system in the two phases achieved accuracy of 0.856 and 0.905,respectively.In this paper,we will present the results of the competition and a summary of the systems,highlighting commonalities and innovations among participating systems.The SMP-CAIL2020-Argmine data set and baseline modelshave been already released.

Delay Induced Hopf Bifurcation of Small-World Networks

在这篇论文，稳定性；有时间延期的小世界的网络的 Hopf 分叉被学习。由分析延期的变化，我们在马厩上获得几个足够的条件；不稳定的性质。当延期传递批评价值时， Hopf 分叉可以出现。而且，方向；区分周期的答案的稳定性被正常形式理论调查；中心歧管减小。由数字模拟，最后，我们进一步在这篇论文说明定理的有效性。

A multiscale transform denoising method of the bionic polarized light compass for improving the unmanned aerial vehicle navigation accuracy

In recent years, the bionic polarized light compass has been widely studied for the unmanned aerial vehicle navigation. However, it is found from the obtained investigation results that a polarized light compass with a sensitive and high dynamic range polarimeter still provides inferior output precision of the heading angle due to the presence of the noise generating from the compass.The noise is existed not only in the angle of the polarization image acquired by polarimeters but also in the output heading data, which leads to a sharp reduction in the accuracy of a polarized light compass. Herein, we present noise analysis and a novel multiscale transform denoising method of a polarized light compass used for the unmanned aerial vehicle navigation. Specifically, a multiscale principle component analysis utilizing one-dimensional image entropy as classification criterion is directly implemented to suppress the noise in the acquired polarization image. Subsequently, a multiscale time–frequency peak filtering method using the sample entropy as classification criterion is applied for the output heading data so as to further increase the heading measurement accuracy from the denoised image above. These two approaches are combined to significantly reduce the heading error affected by different types of noises. Our experimental results indicate the proposed multiscale transform denoising method exhibits high performance in suppressing the noise of a polarized light compass used for the unmanned aerial vehicle navigation compared to existing prior arts.

Dynamical analysis of an SIS epidemic model with migration and residence time

Migration can be ciivided into temporary and permanent migration,which is related to the residence time of people in the patch,thus we consider an SIS epidemic model with migration and residence time in a patchy environment.If R0≤1,the disease-free equilibrium is globally asymptotically stable and the disease dies out.With the same migration rate of susceptible and infectious individuals and without disease-induced death,when R0>1,the endemic equilibrium is unique and globally asymptotically stable.Numerical simulations are carried out to show the effects of residence time and the migration rate on disease prevalence.