Intrusion Detection Model Using Chaotic MAP for Network Coding Enabled Mobile Small Cells

Wireless Network security management is difficult because of the ever-increasing number of wireless network malfunctions,vulnerabilities,and assaults.Complex security systems,such as Intrusion Detection Systems(IDS),are essential due to the limitations of simpler security measures,such as cryptography and firewalls.Due to their compact nature and low energy reserves,wireless networks present a significant challenge for security procedures.The features of small cells can cause threats to the network.Network Coding(NC)enabled small cells are vulnerable to various types of attacks.Avoiding attacks and performing secure“peer”to“peer”data transmission is a challenging task in small cells.Due to the low power and memory requirements of the proposed model,it is well suited to use with constrained small cells.An attacker cannot change the contents of data and generate a new Hashed Homomorphic Message Authentication Code(HHMAC)hash between transmissions since the HMAC function is generated using the shared secret.In this research,a chaotic sequence mapping based low overhead 1D Improved Logistic Map is used to secure“peer”to“peer”data transmission model using lightweight H-MAC(1D-LM-P2P-LHHMAC)is proposed with accurate intrusion detection.The proposed model is evaluated with the traditional models by considering various evaluation metrics like Vector Set Generation Accuracy Levels,Key Pair Generation Time Levels,Chaotic Map Accuracy Levels,Intrusion Detection Accuracy Levels,and the results represent that the proposed model performance in chaotic map accuracy level is 98%and intrusion detection is 98.2%.The proposed model is compared with the traditional models and the results represent that the proposed model secure data transmission levels are high.

基于T1 mapping序列的定量参数鉴别肺癌病理类型的应用研究

目的评估基于纵向弛豫时间定量序列(T1 mapping)的定量参数预测肺癌病理类型的可行性。材料与方法共收治经病理确诊的肺癌患者117例,包括腺癌62例,鳞状细胞癌26例,小细胞肺癌(small cell lung cancer,SCLC)29例,于治疗前行常规MRI、T1 mapping检查。采用B1场校正的3D可变翻转角VIBE序列分别于增强前及增强后5 min采集T1 mapping图像,测量肿瘤大小、增强前T1值(T1pre)、增强后T1值(T1post),并计算增强前后T1值变化△T1、增强前后T1值变化率△T1%。采用SPSS和MedCalc软件进行分析,运用logistic回归联合ROC曲线下面积(area under the curve,AUC)评价各组各定量参数的差异及多参数联合的诊断价值。结果腺癌、鳞状细胞癌和SCLC的ΔT1、ΔT1%和T1post差异有统计学意义(P<0.05),而T1pre差异无统计学意义(P=0.506)。鉴别SCLC和非小细胞肺癌(non-small cell lung cancer,NSCLC)的T1post、△T1和△T1%值的AUC分别为0.856、0.805和0.864,3个参数的组合可以提高鉴别SCLC和NSCLC的诊断准确度(AUC=0.870,P<0.05)。△T1、△T1%鉴别腺癌和鳞状细胞癌的AUC分别为0.755和0.767,两者联合可提高诊断准确度(AUC=0.771,P>0.05)。T1post、△T1%鉴别鳞状细胞癌和SCLC的AUC分别为0.788和0.818,两者联合可提高诊断准确度(AUC=0.831,P>0.05)。T1post、△T1%鉴别腺癌和SCLC的AUC分别为0.895、0.873,二者联合可提高诊断准确度(AUC=0.898,P>0.05)。结论T1 mapping可以无创定量地获得腺癌、鳞状细胞癌和SCLC的T1值,可用于区分SCLC与NSCLC以及鳞状细胞癌和腺癌,具有一定的临床应用价值。

MAP添加液对冰冻解冻去甘油红细胞保存的质量影响

目的观察冰冻解冻去甘油红细胞悬浮于MAP添加液中对保存效果的影响,探索最佳保存方式。方法本研究将采集后d 3的400 mL全血,离心制备成浓缩红细胞,使用ACP 215全自动血细胞仪,加入40%复方甘油溶液,置于-65℃超低温冰箱中保存30 d,解冻去甘油洗涤后,等量分离成两袋,以添加0.9%氯化钠溶液为对照组;添加MAP为实验组,两组保存于2~6℃冷藏条件下,分别于0、1、3、5、7、14 d取样检测血液学参数指标、溶血指标、细胞代谢指标,观察两组在14 d保存期内的质量变化情况。结果研究发现两组红细胞在解冻去甘油后6项质控项目包括容量、血红蛋白含量、游离血红蛋白含量、白细胞残留量、甘油残留量、无菌试验的检测值均符合《全血及成分血质量要求》(GB18469-2012);压积、红细胞计数、Hb洗涤后回收率、MCV符合《冰冻红细胞质量评价指标专家共识》检测限值,血小板残留量超过检测限值(≤1%);在14 d保存期内,两组的RBC、Hct、MCV和血红蛋白含量值无统计学意义;两组游离血红蛋白、溶血率和K+值随保存时间延长而增加,分别于3、5、7、14 d;3、5、7、14 d;14 d组间有统计学意义(P<0.05),两组红细胞渗透脆性于14 d组间有统计学意义(P<0.05);两组ATP、pH值随保存时间延长而下降,分别于3、5、7 d;1、3、5、7、14 d组间有统计学意义(P<0.05)。结论悬浮于MAP添加液中的冰冻解冻去甘油红细胞可将血液保存期延长至7 d,本研究为相关标准的制定提供参考依据。

Mapping theme trends and knowledge structures for human neural stem cells:a quantitative and co-word biclustering analysis for the 2013-2018 period

Neural stem cells,which are capable of multi-potential differentiation and self-renewal,have recently been shown to have clinical potential for repairing central nervous system tissue damage.However,the theme trends and knowledge structures for human neural stem cells have not yet been studied bibliometrically.In this study,we retrieved 2742 articles from the PubMed database from 2013 to 2018 using "Neural Stem Cells" as the retrieval word.Co-word analysis was conducted to statistically quantify the characteristics and popular themes of human neural stem cell-related studies.Bibliographic data matrices were generated with the Bibliographic Item Co-Occurrence Matrix Builder.We identified 78 high-frequency Medical Subject Heading(MeSH)terms.A visual matrix was built with the repeated bisection method in gCLUTO software.A social network analysis network was generated with Ucinet 6.0 software and GraphPad Prism 5 software.The analyses demonstrated that in the 6-year period,hot topics were clustered into five categories.As suggested by the constructed strategic diagram,studies related to cytology and physiology were well-developed,whereas those related to neural stem cell applications,tissue engineering,metabolism and cell signaling,and neural stem cell pathology and virology remained immature.Neural stem cell therapy for stroke and Parkinson’s disease,the genetics of microRNAs and brain neoplasms,as well as neuroprotective agents,Zika virus,Notch receptor,neural crest and embryonic stem cells were identified as emerging hot spots.These undeveloped themes and popular topics are potential points of focus for new studies on human neural stem cells.

Dynamic Analysis of Stochastic Friction Systems Using the Generalized Cell Mapping Method

Friction systems are a kind of typical non-linear dynamical systems in the actual engineering and often generate abundant dynamics phenomena.Because of non-smooth characteristics,it is difficult to handle these systems by conventional analysis methods directly.At the same time,random perturbation often affects friction systems and makes these systems more complicated.In this context,we investigate the steady-state stochastic responses and stochastic P-bifurcation of friction systems under random excitations in this paper.And in order to retain the non-smooth of friction system,the generalized cell mapping(GCM)method is first used to the original stochastic friction systems without any approximate transformation.To verify the accuracy and validate the applicability of the suggested approach,we present two classical nonlinear friction systems,i.e.,Coulomb force model and Dahl force model as examples.Meanwhile,this method is in good agreement with the Monte Carlo simulation method and the computation time is greatly reduced.In addition,further discussion finds that the adjustable parameters can induce the stochastic P-bifurcation in the two examples,respectively.The stochastic P-bifurcation phenomena indicate that the stability of the friction system changes very sensitively with the parameters.Research of responses analysis and stochastic P-bifurcation has certain significances for the reliability and stability analysis of practical engineering.

Glycogen metabolism-mediated intercellular communication in the tumor microenvironment influences liver cancer prognosis

Glycogen metabolism plays a key role in the development of hepatoellular carcinoma(HCC),but the function of glycogen metabolism genes in the tumor microenvironment(TME)is still to be elucidated.Single cell RNA-seq data were obtained from ten HCC tumor samples totaling 64,545 cells and 65 glycogen metabolism genes were analyzed bya nonnegative matrix factorization(NMF).The prognosis and immune response of new glycogen TME cell dusters were predicted by using HCC and immunotherapy cohorts from public databases.HOC single cell analysis was divided into fibroblasts,NT T cells,macrophages,endothelial clls,and B cells,which were separately divided into new cell clusters by glycogen metabolism gene annotation.Pseudo temporal trajectory analysis demonstrated the temporal differentiation trajectory of different glycogen subtype cell dusters.Cellular communication analysis revealed extensive interactions between endothelial cells with glycogen metabolizing TME cell.related subtypes and diferent glycogen subtype cell clusters.SCENIC analysis of transcription factors upstream of TME cell clusters with different glycogen metabolism.In addition,TME cell dusters of glycogen metabolism were found to be enriched in expression in CAF subtypes,CD8 depleted,M1,and M2 types.Bulk seq analysis showed the prognostic signifcance of glycogen metabolism.mediated TME cell dusters in HCC,while a significant immune response was found in the immunotherapy cohort in patients treated with immune checkpoint blockade(ICB),especially for CAFs,T cells,and macrophages In summary,our study reveals for the first time that glycogen metabolism mediates intercellular communication in the hepatocellular carcinoma microenvironment while elucidating the anti-tumor mechanisms and immune prognostic responses of different subtypes of cell dusters.

Aircraft Landing Gear Control with Multi-Objective Optimization Using Generalized Cell Mapping

This paper presents a numerical algorithm tuning aircraft landing gear control system with three objectives,including reducing relative vibration, reducing hydraulic strut force and controlling energy consumption. Sliding mode control is applied to the vibration control of a simplified landing gear model with uncertainty. A two-stage generalized cell mapping algorithm is applied to search the Pareto set with gradient-free scheme. Drop test simulations over uneven runway show that the vibration and force interaction can be considerably reduced, and the Pareto optimum form a tight range in time domain.

Multi-objective Optimal Design of Vibration Absorber with Simple Cell Mapping Algorithm

In this paper, we investigate a multi-objective optimal design of a tuned vibration absorber for a two degrees-of-freedom linear system, in which we take white Gaussian noise as the excitation. We use the simple cell mapping method to obtain solutions to the multi-objective optimization problem. We optimize tuned vibration absorbers in two different configurations. As our objective, we take various features of the response of the power spectrum density function. Our results show that the primary mass vibration with the optimally designed absorber has a lower peak power spectrum value. In addition, the two natural frequencies of the optimized system are further apart than in the non-optimized system, which implies that the absorber has a wider effective region in the frequency domain. © 2017, Tianjin University and Springer-Verlag GmbH Germany.

Mapping of Microsatellite SW943 to Porcine Chromosome 12p11-(2/3p13) Using Primed in situ Synthesis and Somatic Cell Hybrid Panel

The porcine microsatellite SW943 was regionally localized on 12p11-(2/3p13) by the two methods: the Primed in situ (PRINS) labelling on the pachytene bivalents of pigs using the Dig-11-dUTP as the report molecule and pig X rodent Somatic Cell Hybrid Panel (SCHP) which contains 27 cell lines through PCR amplification. Advantages and disadvantages of the two methods for physical mapping of microsatellites were also discussed.

Stochastic response analysis of noisy system with non-negative real-power restoring force by generalized cell mapping method

The stochastic response of a noisy system with non-negative restoring force is investigated. The generalized cell mapping （GCM） method compute the transient and stationary probability density functions （PDFs） real-power is used to Combined with the global properties of the noise-free system, the evolutionary process of the tran- sient PDFs is revealed. The results show that stochastic P-bifurcation occurs when the system parameter varies in the response analysis and the stationary PDF evolves from bimodal to unimodal along the unstable manifold during the bifurcation.

MiR-451 inhibits proliferation of esophageal carcinoma cellline EC9706 by targeting CDKN2D and MAP3K1

AIM To investigate the underlying molecularmechanisms of miR-451 to inhibit proliferation ofesophageal carcinoma cell line EC9706.METHODS： Assays for cell growth, apoptosis andinvasion were used to evaluate the effects of miR-451expression on EC cells. Luciferase reporter and Westernblot assays were used to test whether cyclin-dependentkinase inhibitor 2D （CDKN2D） and MAP3K1 act as majortargets of miR-451.RESULTS： The results showed that CDKN2D andMAP3K1 are direct targets of miR-451. CDKN2D andMAP3K1 overexpression reversed the effect of miR-451.MiR-451 inhibited the proliferation of EC9706 bytargeting CDKN2D and MAP3K1.CONCLUSION： These findings suggest that miR-451might be a novel prognostic biomarker and a potentialtarget for the treatment of esophageal squamous cellcarcinoma in the future.

Molecular complexity of visual mapping: a challenge for regenerating therapy

Investigating the cellular and molecular mechanisms involved in the development of topographically ordered connections in the central nervous system constitutes an important issue in neurobiology because these connections are the base of the central nervous system normal function.The dominant model to study the development of topographic maps is the projection from the retinal ganglion cells to the optic tectum/colliculus.The expression pattern of Eph/ephrin system in opposing gradients both in the retina and the tectum,labels the local addresses on the target and gives specific sensitivities to growth cones according to their topographic origin in the retina.The rigid precision of normal retinotopic mapping has prompted the chemoaffinity hypothesis,positing axonal targeting to be based on fixed biochemical affinities between fibers and targets.However,several lines of evidence have shown that the mapping can adjust to experimentally modified targets with flexibility,demonstrating the robustness of the guidance process.Here we discuss the complex ways the Ephs and ephrins interact allowing to understand how the retinotectal mapping is a precise but also a flexible process.

Errors Prediction for Vector-to-Raster Conversion Based on Map Load and Cell Size

Vector-to-raster conversion is a process accompanied with errors.The errors are classified into predicted errors before rasterization and actual errors after that.Accurate prediction of the errors is beneficial to developing reasonable rasterization technical schemes and to making products of high quality.Analyzing and establishing a quantitative relationship between the error and its affecting factors is the key to error prediction.In this study,land cover data of China at a scale of 1:250 000 were taken as an example for analyzing the relationship between rasterization errors and the density of arc length(DA),the density of polygon(DP) and the size of grid cells(SG).Significant correlations were found between the errors and DA,DP and SG.The correlation coefficient(R2) of a model established based on samples collected in a small region(Beijing) reaches 0.95,and the value of R2 is equal to 0.91 while the model was validated with samples from the whole nation.On the other hand,the R2 of a model established based on nationwide samples reaches 0.96,and R2 is equal to 0.91 while it was validated with the samples in Beijing.These models depict well the relationships between rasterization errors and their affecting factors(DA,DP and SG).The analyzing method established in this study can be applied to effectively predicting rasterization errors in other cases as well.

HOMOGENEITY,TERMINALITY AND SOME MAPPING PROBLEMS

The collection of terminal subcontinua in the theory of homogeneous continua and some problems concerning atomic mapping,cell like mapping connected with homogeneity are studied.

CD36蛋白B细胞抗原表位的生信预测及其多抗原肽的制备

目的分析CD36蛋白的结构,寻找可能的B细胞抗原表位,制备含有B细胞表位的多抗原肽(multiple antigenic peptide,MAP),为基于B细胞表位的MAP用于CD36抗体的制备提供前期实验基础。方法通过生物信息学方法分析CD36蛋白的理化性质、二级结构、潜在磷酸化及糖基化位点等,预测可能的B细胞表位。以多聚赖氨酸为核心基质,采用Fmoc方法合成含有CD36 B细胞表位的八分枝MAP,并利用反向高效液相色谱(RP-HPLC)分析MAP的纯度、质谱分析法测定MAP的分子量,对合成的CD36-MAP进行鉴定。结果CD36是1种稳定的、亲水性的碱性蛋白,二级结构以无规则卷曲为主,具有多个磷酸化、糖基化位点,抗原性较强。综合分析获得可能的优势B细胞表位4个,制备了4个含有优势B细胞表位的MAP,RP-HPLC分析表明合成的MAP的纯度均在85%以上,其中3个MAP的分子量与理论预期值相符。结论CD36具有较强的抗原性,利用预测得到的4个可能的B细胞表位合成MAP,为CD36抗体的制备和相关研究提供实验基础。

基于Web of Science近十年干细胞治疗心肌梗死的可视化分析

背景:心肌梗死的致死率居高不下,是因为包括药物和手术在内的传统治疗方法无法从根本上修复受损的心肌组织,干细胞由于其自我更新和多向分化潜能为解决这一难题提供了可能。目的:运用文献计量学分析归纳干细胞治疗心肌梗死领域近十年的研究进展。方法:检索Web of Science数据库中2012-01-01/2022-12-01发表在SCI-E和SSCI中干细胞和心肌梗死的相关文献,利用EXCEL、CiteSpace和VOSviewer软件对发文量、作者、机构、期刊、国家、关键词等数据进行统计及可视化分析。结果与结论:核心文献共计3210篇,年发文总量逐年上升;hausenloy,derek j.是发文量最多的作者,中国是发文量最多的国家,第四军医大学是发文量最多的机构,该领域的研究热点正在从细胞实验和动物实验向临床试验方向转变。近十年来,该领域的研究热度较高,仍有较大的发展前景,应促进国际上、机构间的交流学习,进一步挖掘干细胞在心肌梗死治疗领域的作用。

植物MAP激酶级联途径研究进展

MAP激酶(促分裂原活化蛋白激酶)级联途径可以将不同的细胞膜感受器与细胞应答联系起来,响应各种生物以及非生物胁迫,在植物激素信号以及细胞分裂和发育过程中发挥着重要的作用.为有效地传递各种特异信号,MAP激酶级联相互交叉形成复杂的信号传递网络.近年来,随着功能获得型突变体、功能缺失型突变体的获得以及其它一些新技术的应用,进一步阐明了MAP激酶级联途径在信号传导过程中的功能和作用.本文主要对植物MAPK级联途径在信号传导过程中交叉串通以及复杂性的最新研究结果进行综述.

基于多随机经验核的弥漫大B细胞淋巴瘤复发预测

目的基于多随机经验核分类器构建弥漫大B细胞淋巴瘤完全缓解后两年内复发情况的预测模型,为患者的治疗提供决策依据。方法利用山西省某三甲医院2010-2020年电子病历库中符合本研究要求的445名患者信息,基于五种常见类别不平衡处理方法以及多随机经验核分类器构建复发预测模型,并与五种分类器进行比较。结果基于SMOTE Tomek Links+多随机经验核分类器的复发预测模型取得了最优的分类性能(accuracy=0.89,precision=0.87,recall=0.92,f1-Score=0.89,brier score=0.11)。结论对DLBCL实际数据集,本文使用SMOTE Tomek links处理不平衡数据并构建多随机经验核模型,模型性能达到最优的同时计算复杂度也不高,可为DLBCL复发预测提供有力参考。

一种非对称特性约束的碰撞振动系统的动力学分析

该文研究了一种具有非对称约束的单自由度非对称碰撞振动系统。在对系统进行无量纲化建模处理后分析了系统的n-1-1周期运动的存在条件。在此基础之上推导了系统在n-1-1周期运动的情况下的Jacobi矩阵,利用参数状态空间联合仿真的方法分析了系统在参数平面(ω,δ)下系统的转迁规律以及变化参数ω时的动力学行为。提出了一种参数空间变化下探索吸引子共存现象的新方法,并分析了系统在状态空间下吸引子的演化趋势。