LPI radar signal detection based on the combination of FFT and segmented autocorrelation plus PAHT

This paper proposes a desirable method to detect different kinds of low probability of intercept (LPI) radar signals, targeted at the main intra-pulse modulation method of LPI radar signals including the signals of linear frequency modulation, phase code, and frequency code. Firstly, it improves the coherent integration of LPI radar signals by adding the periodicity of the ambiguity function. Then, it develops a frequency domain detection method based on fast Fourier transform (FFT) and segmented autocorrelation function to detect signals without features of linear frequency modulation by virtue of the distribution characteristics of noise signals in the frequency domain. Finally, this paper gives a verification of the performance of the method for different signal-to-noise ratios by conducting simulation experiments, and compares the method with existing ones. Additionally, this method is characterized by the straightforward calculation and high real-time performance, which is conducive to better detecting all kinds of LPI radar signals.

Effect of samarium on the N_(2) selectivity of Sm_(x)Mn_(0.3-x)Ti catalysts during selective catalytic reduction of NO_(x) with NH_(3)

This work aims to study the improvement effect of Sm on Mn-based catalysts for selective catalytic reduction (SCR) of NO with NH3.A series of Sm_(x)Mn_(0.3-x)-xTi catalysts (x=0,0.1,0.15,0.2,and 0.3) were prepared by co-precipitation.Activity tests indicated that the Sm_(0.15)Mn_(0.15)Ti catalyst showed superior performances,with a NO conversion of 100%and N_(2)selectivity above 87%at 180–300℃.The characterizations showed that Sm doping suppressed the crystallization of TiO_(2)and Mn2O3phases and increased the specific surface area and acidity.In particular,the surface area increased from 152.2 m^(2)·g^(-1)for Mn0.3Ti to 241.7 m^(2)·g^(-1)for Sm_(0.15)Mn_(0.15)Ti.These effects contributed to the high catalytic activity.The X-ray photoelectron spectroscopy (XPS) results indicated that the relative atomic ratios of Sm^(3+)/Sm and Oβ/O of Sm_(0.15)Mn_(0.15)Ti were 76.77at%and 44.11at%,respectively.The presence of Sm contributed to an increase in surface-absorbed oxygen (Oβ) and a decrease in Mn^(4+)surface concentration,which improved the catalytic activity.In the results of hydrogen temperature-programmed reduction(H_(2)-TPR),the presence of Sm induced a higher reduction temperature and lower H_(2)consumption (0.3 mmol·g^(-1)) for the Sm_(0.15)Mn_(0.15)Ti catalyst compared to the Mn0.3Ti catalyst.The decrease in Mn^(4+)weakened the redox property of the catalysts and increased the N_(2)selectivity by suppressing N_(2)O formation from NH3oxidation and the nonselective catalytic reduction reaction.The in situ diffuse reflectance infrared Fourier transform spectra (DRIFTs) revealed that NH3-SCR of NO over the Sm_(0.15)Mn_(0.15)Ti catalyst mainly followed the Eley–Rideal mechanism.Sm doping increased surface-absorbed oxygen and weakened the redox property to improve the NO conversion and N_(2)selectivity of the Sm_(0.15)Mn_(0.15)Ti catalyst.

Code Reviewer Intelligent Prediction in Open Source Industrial Software Project

Currently, open-source software is gradually being integrated into industrial software, while industry protocolsin industrial software are also gradually transferred to open-source community development. Industrial protocolstandardization organizations are confronted with fragmented and numerous code PR (Pull Request) and informalproposals, and differentworkflowswill lead to increased operating costs. The open-source community maintenanceteam needs software that is more intelligent to guide the identification and classification of these issues. To solvethe above problems, this paper proposes a PR review prediction model based on multi-dimensional features. Weextract 43 features of PR and divide them into five dimensions: contributor, reviewer, software project, PR, andsocial network of developers. The model integrates the above five-dimensional features, and a prediction model isbuilt based on a Random Forest Classifier to predict the review results of PR. On the other hand, to improve thequality of rejected PRs, we focus on problems raised in the review process and review comments of similar PRs.Wepropose a PR revision recommendation model based on the PR review knowledge graph. Entity information andrelationships between entities are extracted from text and code information of PRs, historical review comments,and related issues. PR revisions will be recommended to code contributors by graph-based similarity calculation.The experimental results illustrate that the above twomodels are effective and robust in PR review result predictionand PR revision recommendation.

光学透明技术在植物多尺度成像中的应用

光学透明技术是一种通过各种化学试剂,将原本不透明的生物样本实现透明化,并在光学显微镜下深度成像的技术。结合多种光学显微成像新技术,光学透明技术可对整个组织进行成像和三维重建,深度剖析生物体内部空间特征与形成机制。近年来,多种植物光学透明技术和多尺度成像技术被陆续研发,并取得了丰硕的研究成果。该文综述了生物体光学透明技术的基本原理和一些新技术,重点介绍基于光学透明技术开发的新型成像方法及其在植物成像与细胞生物学中的应用,为后续植物整体、组织或器官的透明、成像与三维重构及功能研究提供理论依据和技术支持。

稀土元素在脱硝催化剂中的应用

以NH;为还原剂的选择性催化还原(SCR)技术可实现工业烟气中氮氧化物(NO_(x))的超低排放,现有钒钛系脱硝催化剂具有生物毒性,且报废后为危险废物。稀土元素(REEs)具有独特的4f电子轨道,表现出优异的储释氧性能,在催化反应中可发挥重要作用,是当前新型脱硝催化剂的重要研究对象,也是国家鼓励的现有钒钛系催化剂的替代品。本文主要总结了铈、钐、镧等12种REEs在新型脱硝催化剂中的近5年研究进展,另有钪、镥等5种REEs的相关研究较少,重点阐述了REEs改善催化剂脱硝活性与稳定性的作用机制及耦合过渡金属的协同催化机理,初步提出了脱硝催化剂的设计原则,并展望了稀土脱硝催化剂的发展前景。

MAGAN:Unsupervised Low-Light Image Enhancement Guided by Mixed-Attention

Most learning-based low-light image enhancement methods typically suffer from two problems.First,they require a large amount of paired data for training,which are difficult to acquire in most cases.Second,in the process of enhancement,image noise is difficult to be removed and may even be amplified.In other words,performing denoising and illumination enhancement at the same time is difficult.As an alternative to supervised learning strategies that use a large amount of paired data,as presented in previous work,this paper presents an mixed-attention guided generative adversarial network called MAGAN for low-light image enhancement in a fully unsupervised fashion.We introduce a mixed-attention module layer,which can model the relationship between each pixel and feature of the image.In this way,our network can enhance a low-light image and remove its noise simultaneously.In addition,we conduct extensive experiments on paired and no-reference datasets to show the superiority of our method in enhancing low-light images.

Promotion effect of niobium on ceria catalyst for selective catalytic reduction of NO with NH3

The CeO_(2),Ce-Nb-O_(x) and Nb_(2)O_(5) catalysts were synthesized by citric acid method and the promotion effect of Nb on ceria for selective catalytic reduction(SCR)of NO with NH_(3) was investigated.The catalytic activity measurements indicate that the mixed oxide Ce-Nb-O_(x) presents a higher SCR activity than the single oxide CeO_(2) or Nb_(2)O_(5) catalyst.In addition,the Ce-Nb-O_(x) catalyst shows high resistance towards H_(2)O and SO_(2) at 280℃.The Raman,X-ray photoelectron spectra and temperature programmed reduction with H_(2) results indicate that the incorporation of Nb provides abundant oxygen vacancies for capturing more surface adsorbed oxygen,which provides a superior redox capability and accelerates the renewal of active sites.Furthermore,the Fourier transform infrared spectra and temperature programmed desorption of NH_(3) results suggest that niobium pentoxide shows high surface acidity,which is partly retained in the Ce-Nb-O_(x) catalyst possessing a high content of Lewis and Br?nsted acid sites.Therefore,the incorporation of Nb improves both the redox and acidic capacities of Ce-Nb-O_(x) catalyst for the SCR reaction.Here,the redox behavior is primarily taken on Ce and the acidity is well improved by Nb,so the synergistic effect should exist between Ce and Nb.In terms of the reaction mechanism,in situ DRIFT experiments suggest that both NH_(3) on Lewis acid sites and NH_(4)^(+) on Bronsted acid sites can react with NO species,and adsorbed NO and NO_(2) species can both be reduced by NH_(3).In the SCR process,O_(2) primarily acts as the accelerant to improve the redox and acid cycles and plays an important role.This work proves that the combination of redox and acidic properties of different constituents can be feasible for catalyst design to obtain a superior SCR performance.

BDGOA:A bot detection approach for GitHub OAuth Apps

As various software bots are widely used in open source software repositories,some drawbacks are coming to light,such as giving newcomers non-positive feedback and misleading empirical studies of software engineering researchers.Several techniques have been proposed by researchers to perform bot detection,but most of them are limited to identifying bots performing specific activities,let alone distinguishing between GitHub App and OAuth App.In this paper,we propose a bot detection technique for OAuth App,named BDGOA.24 features are used in BDGOA,which can be divided into three dimensions:account information,account activity,and text similarity.To better explore the behavioral features,we define a fine-grained classification of behavioral events and introduce self-similarity to quantify the repeatability of behavioral sequence.We leverage five machine learning classifiers on the benchmark dataset to conduct bot detection,and finally choose random forest as the classifier,which achieves the highest F1-score of 95.83%.The experimental results comparing with the state-of-the-art approaches also demonstrate the superiority of BDGOA.

Strontium doped electrospinning fiber membrane with antibacterial and osteogenic properties prepared by pulse electrochemical method

The osteogenic differentiation and new bone formation are commonly delayed by bacterial infection of orthopedic implants,which is urgent to be resolved quickly in the clinic.The current paper prepared a strontium-doped elec-trospinning fiber membrane with antibacterial and osteogenic properties by pulse electrochemical method.Poly-lactic acid/hydroxyapatite(PLLA/HA)composite fiber substrate was fabricated by electrospinning technology,and strontium doped SrHA/Cu/Polypyrrole(PPy)composite coating was constructed with pulse electrodeposi-tion method on its surface.The strontium doping technique,degradation of Sr^(2+)and Cu^(2+),cellular compatibility,and the antibacterial activity of the fiber membrane were examined.The results revealed that the deposition of phosphorus and calcium on composite fiber was the highest,indicating good biological activity.The release of Sr^(2+)and Cu^(2+)was stable and gradual due to the modulation of PPy.The composite fiber presented excellent antibacterial performance and the antibacterial rate was close to 100%against Staphylococcus aureus and Es-cherichia coli.Furthermore,it is conducive to the adhesion,spread,and proliferation of vascular endothelial cells and osteoblasts,namely outstanding osteogenesis and angiogenesis abilities.In conclusion,the multifunctional PLLA/HA@SrHA/Cu/PPy composite fiber membrane with good antibacterial and osteogenic activity by electro-spinning technology and pulsed electrochemical deposition method provides an effective strategy for the poor bone healing of infected bone defects.