Identification of TMEM159 as a biomarker of glioblastoma progression based on immune characteristics

Background:Glioblastoma multiforme(GBM)is the most general malignancy of the primary central nervous system that is characterized by high aggressiveness and lethality.Transmembrane protein 159(TMEM159)is an endoplasmic reticulum protein that can form oligomers with seipin.The TMEM159-seipin complex decides the site of lipid droplet(LD)formation,and the formation of LDs is a marker of GBM.However,the role of TMEM159 in the progression of GBM has not been investigated to date.Methods:In this study,we examined the genes that may be associated with patient prognosis in GBM by bioinformatics analyses,and identified the key genes that affect the development of GBM using single-cell RNA sequencing technology.The biological functions of TMEM159 in GBM cells were additionally assessed by clone formation and transwell assays as well as using a model of chick embryo chorioallantois membrane(CAM)and western blotting.The association between TMEM159 and epidermal growth factor receptor(EGFR)was finally analyzed in GBM cells.Results:A prognostic model was established and validated for predicting the prognosis.Survival curve analysis showed a critical difference in the prognosis of the high-and low-risk groups predicted by the prognostic model.The results demonstrated that TMEM159 affected the proliferation and invasion of GBM cells.The chick embryo CAM assays demonstrated that the inhibition of TMEM159 expression reduced angiogenesis in the CAM model.Conclusions:The prognostic model achieved good predictive potential for high-risk patients.The findings also revealed that TMEM159 might be an important prognostic factor for GBM,indicating that the protein may be a promising therapeutic target for suppressing the development of GBM.

中俄双边投资70年:回顾与展望

中俄建交70年来,双边投资取得了长足的进展。从发展进程上看,主要经历了前苏联单方向援助期、中苏投资停滞和恢复期、中俄投资曲折发展期和快速发展期四个阶段。建国初期,苏联的援助为我国国民经济的恢复和现代工业体系的建立提供了巨大的帮助。而后虽经历挫折,但随着中苏关系的正常化,双边投资有所恢复。中俄之间政治上互信、经济上互补的格局使两国双边投资规模不断扩大。但相比双边贸易规模,投资方面仍有很大的潜力。我们有必要系统总结中俄双边投资的成果和经验,为进一步拓展中俄投资合作提供参考。

The antitumor effects of Newcastle disease virus on glioma

Glioma is the most common primary malignant brain tumor with a poor survival rate.In recent years,no significant progress has been made in the treatment of gliomas in contrast to the development of improved diagnosis via molecular typing.Newcastle disease virus(NDV),a negative-stranded RNA virus that exhibits oncolytic activity,has been investigated for its capacity to elicit antitumor activity in many types of cancers,including glioma.Therefore,application of oncolytic viruses,such as NDV,as a new treatment strategy to specifically target aberrant signaling in glioblastomas has brought new hope.For many years,NDV has been investigated for its in vivo and in vitro efficacy in the treatment of various tumor cells.Based on its safety in humans,specificity for tumor cells,and immunostimulatory properties,NDV represents a promising antitumor agent.In this review,we summarize the background of NDV and the antitumor mechanisms of NDV-mediated oncolysis,discuss the potential value and role of NDV in gliomas,and describe new advances and perspectives for future research.

Fault Diagnosing System of Steam Generator for Nuclear Power Plant Based on Fuzzy Neural Networks

All kinds of reasons are analysed in theory and a fault repository combined with local expert experiences is establishedaccording to the structure and the operation characteristic of steam generator in this paper. At the same time, Kohonen algo-rithm is used for fault diagnoses system based on fuzzy neural networks. Fuzzy arithmetic is inducted into neural networks tosolve uncertain diagnosis induced by uncertain knowledge. According to its self-association in the course of default diagnosis. thesystem is provided with non-supervise, self-organizing, self-learning, and has strong cluster ability and fast cluster velocity.

Effect of Substrate Temperature on the Structure and Magnetic Properties of CoPt/AlN Multilayer Films

The effect of substrate temperature on the structure and magnetic properties of CoPt/AlN multilayer films has been investigated.The crystallinity of CoPt has been improved with increasing substrate temperature from room temperature to 400 ℃.After post-annealing process,L1_0 CoPt structure transformation has also been promoted.However,since the easy magnetic axis of L1_0 CoPt is in[001]orientation,the promotion of L1_0 CoPt transformation causes the change of easy magnetic axis in（111） textured CoPt layers,which impairs the perpendicular magnetic anisotropy.The optimum substrate temperature should be room temperature to obtain the strongest perpendicular magnetic anisotropy according to the results of the present work.

PosFuzz:augmenting greybox fuzzing with effective position distribution

Mutation-based greybox fuzzing has been one of the most prevalent techniques for security vulnerability discovery and a great deal of research work has been proposed to improve both its efficiency and effectiveness.Mutation-based greybox fuzzing generates input cases by mutating the input seed,i.e.,applying a sequence of mutation operators to randomly selected mutation positions of the seed.However,existing fruitful research work focuses on scheduling mutation operators,leaving the schedule of mutation positions as an overlooked aspect of fuzzing efficiency.This paper proposes a novel greybox fuzzing method,PosFuzz,that statistically schedules mutation positions based on their historical performance.PosFuzz makes use of a concept of effective position distribution to represent the semantics of the input and to guide the mutations.PosFuzz first utilizes Good-Turing frequency estimation to calculate an effective position distribution for each mutation operator.It then leverages two sampling methods in different mutating stages to select the positions from the distribution.We have implemented PosFuzz on top of AFL,AFLFast and MOPT,called Pos-AFL,-AFLFast and-MOPT respectively,and evaluated them on the UNIFUZZ benchmark(20 widely used open source programs)and LAVA-M dataset.The result shows that,under the same testing time budget,the Pos-AFL,-AFLFast and-MOPT outperform their counterparts in code coverage and vulnerability discovery ability.Compared with AFL,AFLFast,and MOPT,PosFuzz gets 21%more edge coverage and finds 133%more paths on average.It also triggers 275%more unique bugs on average.

ESRFuzzer:an enhanced fuzzing framework for physical SOHO router devices to discover multi-Type vulnerabilities

SOHO(small office/home office)routers provide services for end devices to connect to the Internet,playing an important role in cyberspace.Unfortunately,security vulnerabilities pervasively exist in these routers,especially in the web server modules,greatly endangering end users.To discover these vulnerabilities,fuzzing web server modules of SOHO routers is the most popular solution.However,its effectiveness is limited due to the lack of input specification,lack of routers’internal running states,and lack of testing environment recovery mechanisms.Moreover,existing works for device fuzzing are more likely to detect memory corruption vulnerabilities.In this paper,we propose a solution ESRFuzzer to address these issues.It is a fully automated fuzzing framework for testing physical SOHO devices.It continuously and effectively generates test cases by leveraging two input semantic models,i.e.,KEY-VALUE data model and CONF-READ communication model,and automatically recovers the testing environment with power management.It also coordinates diversified mutation rules with multiple monitoring mechanisms to trigger multi-type vulnerabilities.With the guidance of the two semantic models,ESRFuzzer can work in two ways:general mode fuzzing and D-CONF mode fuzzing.General mode fuzzing can discover both issues which occur in the CONF and READ operation,while D-CONF mode fuzzing focus on the READ-op issues especially missed by general mode fuzzing.We ran ESRFuzzer on 10 popular routers across five vendors.In total,it discovered 136 unique issues,120 of which have been confirmed as 0-day vulnerabilities we found.As an improvement of SRFuzzer,ESRFuzzer have discovered 35 previous undiscovered READ-op issues that belong to three vulnerability types,and 23 of them have been confirmed as 0-day vulnerabilities by vendors.The experimental results show that ESRFuzzer outperforms state-of-the-art solutions in terms of types and number of vulnerabilities found.

On Dickinson’s Poems from the Perspective of Taoism

艾米丽·狄金森是美国重要诗人之一,其诗歌已逐渐成为西方经典。西方学者关于狄金森的研究成果为中国的狄金森研究奠定了基础,但由于中西文化和哲学观念的不同,在中国文化背景下的狄金森研究无疑隐含着一种本土意识。用老庄哲学研究狄金森及其诗歌,我们会发现狄诗与庄子散文有某些契合之处。狄诗蕴含着许多与老庄哲学互为相通的道家美学观念,如"崇尚自然"、"无为而无不为"、"法天贵真"、"天地有大美而不言"、"天人合一"等,其中"真"是庄子散文和狄金森诗歌美学的源头。用以"真"为本的美学思想研究狄金森诗歌可被视作是在中国背景下解读狄诗的途径之一,以老庄美学思想研究狄诗更符合中国文化与审美倾向,且有助于从狄诗中发现人类所共有的精神。