Detection of Turbulence Anomalies Using a Symbolic Classifier Algorithm in Airborne Quick Access Record(QAR)Data Analysis

As the risks associated with air turbulence are intensified by climate change and the growth of the aviation industry,it has become imperative to monitor and mitigate these threats to ensure civil aviation safety.The eddy dissipation rate(EDR)has been established as the standard metric for quantifying turbulence in civil aviation.This study aims to explore a universally applicable symbolic classification approach based on genetic programming to detect turbulence anomalies using quick access recorder(QAR)data.The detection of atmospheric turbulence is approached as an anomaly detection problem.Comparative evaluations demonstrate that this approach performs on par with direct EDR calculation methods in identifying turbulence events.Moreover,comparisons with alternative machine learning techniques indicate that the proposed technique is the optimal methodology currently available.In summary,the use of symbolic classification via genetic programming enables accurate turbulence detection from QAR data,comparable to that with established EDR approaches and surpassing that achieved with machine learning algorithms.This finding highlights the potential of integrating symbolic classifiers into turbulence monitoring systems to enhance civil aviation safety amidst rising environmental and operational hazards.

Contrastive Consistency and Attentive Complementarity for Deep Multi-View Subspace Clustering

Deep multi-view subspace clustering (DMVSC) based on self-expression has attracted increasing attention dueto its outstanding performance and nonlinear application. However, most existing methods neglect that viewprivatemeaningless information or noise may interfere with the learning of self-expression, which may lead to thedegeneration of clustering performance. In this paper, we propose a novel framework of Contrastive Consistencyand Attentive Complementarity (CCAC) for DMVsSC. CCAC aligns all the self-expressions of multiple viewsand fuses them based on their discrimination, so that it can effectively explore consistent and complementaryinformation for achieving precise clustering. Specifically, the view-specific self-expression is learned by a selfexpressionlayer embedded into the auto-encoder network for each view. To guarantee consistency across views andreduce the effect of view-private information or noise, we align all the view-specific self-expressions by contrastivelearning. The aligned self-expressions are assigned adaptive weights by channel attention mechanism according totheir discrimination. Then they are fused by convolution kernel to obtain consensus self-expression withmaximumcomplementarity ofmultiple views. Extensive experimental results on four benchmark datasets and one large-scaledataset of the CCAC method outperformother state-of-the-artmethods, demonstrating its clustering effectiveness.

Learning Epipolar Line Window Attention for Stereo Image Super-Resolution Reconstruction

Transformer-based stereo image super-resolution reconstruction(Stereo SR)methods have significantly improved image quality.However,existing methods have deficiencies in paying attention to detailed features and do not consider the offset of pixels along the epipolar lines in complementary views when integrating stereo information.To address these challenges,this paper introduces a novel epipolar line window attention stereo image super-resolution network(EWASSR).For detail feature restoration,we design a feature extractor based on Transformer and convolutional neural network(CNN),which consists of(shifted)window-based self-attention((S)W-MSA)and feature distillation and enhancement blocks(FDEB).This combination effectively solves the problem of global image perception and local feature attention and captures more discriminative high-frequency features of the image.Furthermore,to address the problem of offset of complementary pixels in stereo images,we propose an epipolar line window attention(EWA)mechanism,which divides windows along the epipolar direction to promote efficient matching of shifted pixels,even in pixel smooth areas.More accurate pixel matching can be achieved using adjacent pixels in the window as a reference.Extensive experiments demonstrate that our EWASSR can reconstruct more realistic detailed features.Comparative quantitative results show that in the experimental results of our EWASSR on the Middlebury and Flickr1024 data sets for 2×SR,compared with the recent network,the Peak signal-to-noise ratio(PSNR)increased by 0.37 dB and 0.34 dB,respectively.

China's foreign aid for global poverty alleviation:artemisinin-based combination therapies against malaria in Togo

From providing funds for the global fight against infectious diseases,to actively participating in global health security actions,to strengthening mutual cooperation in the field of health,and providing medical treatment,training and scholarships to countries in need,China’s foreign aid on global poverty alleviation is increasingly diversified and expanding in scale.Indeed,China is playing an increasingly important leading role in the global health agenda.It is worth mentioning that over the years,artemisinin compound have saved millions of lives all over the world,especially in poverty-stricken areas.China’s work mode of malaria elimination has also been written into WHO’s technical documents and recommended to other countries.Since 2007,Chinese medical staff has carried out the Artemisinin Compound Malaria Control Project in Comoros,bringing Chinese prevention and treatment programs to the local area.By 2014,Comoros had achieved zero deaths from malaria,and the number of cases had dropped by 98%.Now,this program is also extended to Togo,another African country.This article preliminarily summarizes the malaria profile in Togo and introduces China-Togo Cooperative Artemisinin Malaria Control Demonstration Project to provide a reference for better anti-malaria assistance in Togo,and also shows one of the substantive actions of China’s participation in global health governance,which contributes Chinese wisdom and offers Chinese solutions to global poverty alleviation.

Experience and inspirations of the Mass Drug Administration Programme with artemisinin-piperaquine in Moheli Island of the Comoros assisted by China

Malaria is one of the major diseases threatening the lives of people in Africa.Over the past decade,China has provided anti-malaria assistance to Africa.In November 2007,fast control malaria team of Guangzhou University of Chinese Medicine cooperated with the Comoros health authority.In Moheli Island of the Comoros,the anti-malaria team adopted a new strategy of Mass Drug Administration(MDA)and active intervention.They established an e ective anti-malaria system and reporting system,as well as a local anti-malaria team.Furthermore,they treated patients with malaria in Moheli Island and implemended health education in local people.In a very short time,they have achieved remarkable results.This paper summarized the experiences of the project in order to provide useful reference for China to better carry out anti-malaria action in Africa and expand foreign health assistance.

Clinical Efficacy and Application Progress of Reduning Injection in Children with Viral Encephalitis

Viral encephalitis in children caused by multiple viral infections,as a common central nervous system disease in pediatrics,has a high incidence in China.Its clinical symptoms usually include infection,poisoning,intracranial hypertension,and disturbance of consciousness.In severe cases,it can even endanger the lives of patient children.At present,the clinical treatment of the viral encephalitis mainly uses traditional Chinese medicine preparations such as Reduning Injection.The efficacy is significant.It can not only relieve the uncomfortable symptoms in a short time,but also has low incidence of adverse reactions.In this study,the factors that cause viral encephalitis in children were analyzed,and the efficacy,pharmacological action and clinical application of Reduning Injection were comprehensively elaborated,to provide a reference for clinical doctors to rationally treat viral encephalitis in children.

Geological significance of componential characteristics of pyrite from Shibaqinghao gold deposit in central Inner Mongolia, China

There are two types of gold ore in Shibaqinghao gold deposit, mylonite ore and quartz vein ore. Pyrite accompanying with native gold in mylonite ore has Fe from 43.66 to 45.32 wt 96 and S from 52.64 to 53.55 wt%. It is clear that this kind of pyrite is poor in both sulphur and iron. That means that the mylonite oremay be related to metamorphic water. Pyrite in the quartz vein ore has Fe from 44.38 to 45.30 wt% and S from 53.08 to 54.00 wt%. It means that this kind of pyrite is poor in iron but rich in sulphur, while the quartz vein ore may be related to magma water.

Numerical multi-physical optimization of operating condition and current collecting setup for large-area solid oxide fuel cells

Due to the depletion of traditional fossil fuels and the aggravation of related environmental problems,hydrogen energy is gaining more attention all over the world.Solid oxide fuel cell(SOFC)is a promising power generation technology operating on hydrogen with a high efficiency.To further boost the power output of a single cell and thus a single stack,increasing the cell area is an effective route.However,it was recently found that further increasing the effective area of an SOFC single cell with a flat-tubular structure and symmetric double-sided cathodes would result in a lower areal performance.In this work,a multi-physical model is built to study the effect of the effective area on the cell performance.The distribution of different physical fields is systematically analyzed.Optimization of the cell performance is also pursued by systematically tuning the cell operating condition and the current collection setup.An improvement of 42%is revealed by modifying the inlet gas flow rates and by enhancing the current collection.In the future,optimization of cell geometry will be performed to improve the homogeneity of different physical fields and thus to improve the stability of the cell.

同时测距和测速的注入锁定调频连续波激光雷达

将结合外调制技术与主从式注入锁定技术的方法用于获得宽带线性调频光源,并基于该光源实现了同时测距和测速的调频连续波激光雷达系统。主从式注入锁定系统包含作为主激光器的窄线宽光纤激光器和作为从激光器的分布反馈式半导体激光器,它们的输出波长均约为1550 nm;使用频率范围为8~14 GHz的三角波线性调频微波对主激光器进行调制,调制后的光注入到从激光器,获得了6 GHz带宽、超过20 dB边模抑制比的宽带线性调频光源。基于该光源搭建了调频连续波激光雷达系统,采用该系统实现了对静态物体距离、运动物体瞬时距离与瞬时速度的测量,运动物体的距离和速度测量结果由不同的公式获得并可以相互验证,实现的距离和速度分辨率分别为2.5 cm和7.8 mm/s。

Single-shot BOTDA based on an optical chirp chain probe wave for distributed ultrafast measurement

Brillouin optical time-domain analysis(BOTDA)requires frequency mapping of the Brillouin spectrum to obtain environmental information(e.g.,temperature or strain)over the length of the sensing fiber,with the finite frequencysweeping time-limiting applications to only static or slowly varying strain or temperature environments.To solve this problem,we propose the use of an optical chirp chain probe wave to remove the requirement of frequency sweeping for the Brillouin spectrum,which enables distributed ultrafast strain measurement with a single pump pulse.The optical chirp chain is generated using a frequency-agile technique via a fast-frequency-changing microwave,which covers a larger frequency range around the Stokes frequency relative to the pump wave,so that a distributed Brillouin gain spectrum along the fiber is realized.Dynamic strain measurements for periodic mechanical vibration,mechanical shock,and a switch event are demonstrated at sampling rates of 25 kHz,2.5 MHz and 6.25 MHz,respectively.To the best of our knowledge,this is the first demonstration of distributed Brillouin strain sensing with a wide-dynamic range at a sampling rate of up to the MHz level.

结合局部关键点集与测地线的三维人脸识别

为了克服面部表情变化导致的三维人脸识别精度不高的问题,提出了一种结合局部关键点集与测地线的三维人脸识别算法。首先,根据表情变化对人脸识别具有分区域影响的特性,将三维人脸划分出刚性区域和非刚性区域;然后将由鼻部和眼部组成的区域作为刚性区域,进行有效关键点检测,提取多种几何特征,构成局部描述子,进行相似度匹配;接着在非刚性区域提取测地线环带并进行相似度匹配;最后将两个区域的匹配程度进行加权融合,得到最终的匹配结果。该算法分别在Bosphorus和FRGC v2.0数据库上进行了实验验证,结果表明算法识别率分别达到了97.01%和98.63%,由此证明本文算法对三维人脸的表情变化有较强的稳健性。

Single image super-resolution via blind blurring estimation and anchored space mapping

It has been widely acknowledged that learning-based super-resolution(SR) methods are effective to recover a high resolution(HR) image from a single low resolution(LR) input image. However,there exist two main challenges in learning-based SR methods currently: the quality of training samples and the demand for computation. We proposed a novel framework for single image SR tasks aiming at these issues, which consists of blind blurring kernel estimation(BKE) and SR recovery with anchored space mapping(ASM). BKE is realized via minimizing the cross-scale dissimilarity of the image iteratively, and SR recovery with ASM is performed based on iterative least square dictionary learning algorithm(ILS-DLA). BKE is capable of improving the compatibility of training samples and testing samples effectively and ASM can reduce consumed time during SR recovery radically.Moreover, a selective patch processing(SPP) strategy measured by average gradient amplitude |grad| of a patch is adopted to accelerate the BKE process. The experimental results show that our method outruns several typical blind and non-blind algorithms on equal conditions.

New strategies of protein engineering——directed evolution of enzyme in vitro

New and highly effective strategies for directed enzyme evolution in vitro have been developed in the protein engineering field. They allow engineering all kinds of enzymes in vitro so that new ones with novel functions and features can be obtained by the methods of error-prone PCR, DNA shuffling (exon shuffling), hybrid enzyme, random-priming in vitro recombi-

Establishment and drug sensitivity evaluation of murine ascites hepatocarcinoma cell line with high lymphatic metastatic potential (Hca-P/L_(6))

In order to provide a sensitive cell line model for investigating the mechanisms underlying the lymphatic metastasis of tumors and the effect of medicine against cells,a new murine ascites hepatocarcinoma cell line with high lymphatic metastatic potential(Hca-P/L_(6))was established and the effect of curcumin on biological behavior of Hca-P/L_(6) was observed.Murine ascites hepatocarcinoma cell strain with low lymphatic metastatic potential(Hca-P)was subcutaneously inoculated into the medioventral line of a mouse 615 and thefirst generation of metastatic tumor cells of inguinal lymph node(Hca-P/L_(1))was obtained.Then,Hca-P/L_(1) was screened by the route of mouse foot pad subcutaneously!lymph node!scale-up culture in vitro!mouse foot pad subcuta-neously forfive times consecutively.The sensitivity of two murine ascites hepatocarcinoma cell lines(Hca-P and Hca-P/L_(6))and two anchorage-dependent human hepato-carcinoma cell lines(SMC7721 and HepG_(2))to curcumin were studied by use of 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide(MTT)assay after these cells had been pretreated by curcumin at the concentration of 15–240μmol/L for 48 h.After pretreatment by curcumin at the maximum non-cytotoxic dose of 15μmol/L in vitro,the effect of curcumin against cell proliferation of Hca-P and Hca-P/L6 was observed by inverted micro-scope,cell growth curve and cell population doubling time;the effects of curcumin on cell cycles of Hca-P/L6 and Hca-P were studied byflow cytometry(FCM).The results showed Hca-P/L_(6) spreading to the lymph nodes at multiple sites in mice was screened from Hca-P.The lymph node metastatic rate was 100%.Curcumin had significant growth inhibiting effect on both murine ascites and human hepatocarcinoma cell lines in a dose-dependent manner(P<0.05).At concentrations of 30–120μmol/L,curcu-min had more inhibition on murine ascites hepatocarci-noma cell lines than on human anchorage-dependent hepatocarcinoma cell lines.At concentrations of 60–240μmol/L,curcumin had more inhibition on Hca-P/L_(6) with the 50%inhibitory concentration(IC50)of 51.48μmol/L than on Hca-P with IC50 of 90.87μmol/L.After pretreatment by curcumin at the maximum non-cytotoxic dose of 15 mol/L for 7 days,the proliferations of Hca-P/L_(6) and Hca-P were inhibited(P<0.05)in a time-dependent manner(P<0.01)and the population doubling time of Hca-P/L6 and Hca-P was prolonged(P<0.01),and curcumin had more inhibition on Hca-P/L6 than on Hca-P(P<0.05).After pretreatment by 15μmol/L curcumin for 48 h,the morphous of Hca-P/L_(6) was influenced more seriously than that of Hca-P and the cell cycle was redistributed with Hca-P/L6 being blocked in the S phase and Hca-P in the S and G_(2)/M phases.Hca-P/L_(6) was validated to be more sensitive to curcumin than Hca-P.Hca-P/L_(6) is a novel sensitive cell line model for investigating the mechanisms underlying tumor lymphatic metastasis and the effect of the medicine against cells.

Pre-existing low-frequency resistance mutations increase the risk of antiretroviral treatment failure in HIV-1 naïve patients

To the Editor:High-frequency resistance(typically≥15-25%viral quasispecies)detected by conventional resistance assays has long been associated with failure of antiretroviral therapy(ART)to suppress viral replication,[1]but the impact of pre-existing lowfrequency resistance on virological response is controversial.Previous studies have shown an increased likelihood of virological response failure in patients with preexisting low-frequency resistance mutations after initiation of antiviral therapy,especially primary ART regimens containing non-nucleoside reverse transcriptase inhibitors(NNRTIs).[2]However,some studies have concluded differently,suggesting that pre-existing lowfrequency resistance mutations do not correlate with viral response failure.[3]This may be related to the method of detection of pre-existing low-frequency resistance mutations.