A Fault Diagnosis Method for Power Systems Based on Temporal Tissue-like P Systems

To quickly and accurately identify faulty components based on the alarm information is critical for the fault diagnosis of power grids.To address this chal-lenge,this paper proposes a novel fault diagnosis method based on temporal tissue-like P system(TTPS).In the proposed method,suspected faulty components are iden-tifiedfirst via a network topology analysis method.An TTPS-based fault diagnosis model is then built for each suspected faulty component to perform fault reasoning,so as to accurately detect the faulty components.To take full advantage of the action signals and temporal information of protection devices,TTPS and its forward temporal reasoning algorithm are proposed.TTPS can synchro-nously model the action and temporal logics of protection devices in an intuitive and graphical way,while the rea-soning algorithm can process the fault alarm information in parallel.To demonstrate the effectiveness and superi-ority of the proposed method,simulations are carried out on the IEEE 14-bus and 118-bus systems,while the results are compared to other two widely adopted methods.Index Terms—Alarm signal,fault diagnosis,membrane computing,power system,tissue-like P system.

Research on hsa-miR-155-3p and hsa-miR-155-5p as biomarkers for systemic sclerosis and their role in regulating biological behavior

Objective: This study was to investigate the role of hsa-miR-155-3p and hsa-miR-155-5p as biomarkers and regulators of biological behavior in Systemic Sclerosis. Methods: A total of 10 SSc patients and 10 healthy controls were selected for the study. The expression levels of hsa-miR-155-3p and hsa-miR-155-5p in peripheral blood mononuclear cells of SSc patients and healthy controls were measured using RT-qPCR. The diagnostic value of these miRNAs was explored using Receiver Operating Characteristic curve analysis. Pearson or Spearman correlation analysis was performed to assess the correlation between miRNAs and clinical indicators in SSc patients. Potential target genes of hsa-miR-155-3p and hsa-miR-155-5p were predicted using miRDB, Targetscan, and miRDIP databases. GO functional annotation, KEGG pathway enrichment analysis, protein-protein interaction network construction, and selection of central genes were conducted. Results: The expression levels of hsa-miR-155-3p and hsa- miR-155-5p were significantly higher in PBMCs of SSc patients compared to healthy controls (P<0.001). The ROC curve analysis showed that hsa-miR-155-3p and hsa-miR-155-5p had a high diagnostic value for SSc (AUC=1, P<0.001). Correlation analysis revealed that hsa- miR-155-3p, hsa-miR-155-5p, and clinical indicators such as high-resolution CT, neutrophil percentage, lymphocyte percentage, and albumin to globulin ratio were correlated (P<0.05). The signaling pathways enriched with target genes of hsa-miR-155-3p and hsa-miR-155- 5p were closely associated with the occurrence and development of SSc fibrosis, immunity, and inflammation. Conclusions: hsa-miR-155-3p and hsa-miR-155-5p may be involved in regulating the occurrence and development of SSc fibrosis, immunity, and inflammation. They have the potential to serve as biomarkers for clinical diagnosis and treatment of SSc.

The Golden Ratio Theorem: A Framework for Interchangeability and Self-Similarity in Complex Systems

The Golden Ratio Theorem, deeply rooted in fractal mathematics, presents a pioneering perspective on deciphering complex systems. It draws a profound connection between the principles of interchangeability, self-similarity, and the mathematical elegance of the Golden Ratio. This research unravels a unique methodological paradigm, emphasizing the omnipresence of the Golden Ratio in shaping system dynamics. The novelty of this study stems from its detailed exposition of self-similarity and interchangeability, transforming them from mere abstract notions into actionable, concrete insights. By highlighting the fractal nature of the Golden Ratio, the implications of these revelations become far-reaching, heralding new avenues for both theoretical advancements and pragmatic applications across a spectrum of scientific disciplines.

Herbicide resistance: Development of wheat production systems and current status of resistant weeds in wheat cropping systems

Herbicide resistance in crops has extended the scope of herbicide applications to control weeds. The introduction of herbicide resistant crops resulted in a major shift in the way that herbicides are used in many crops, but not necessarily increased the prevalence of herbicide use, especially in wheat. Wheat is one of the most widely grown crops in the world and currently only two major herbicide-resistant wheat groups have been commercialized to manage weeds in a cost-effective manner. However, sustainable wheat production is threatened by the expanding occurrence of herbicide-resistant weed populations with limited efforts to discover new herbicide molecules. Selective control of certain problematic weeds in wheat was impossible until development and introduction of the technologies, Clearfield and Co AXium Production Systems. However, the current limitations of reliance on specific herbicides and evolution of resistant weeds mandate precautions and considerations when using these systems to prevent the loss of existing herbicide resources and continue sustainable wheat production. The focus of this review is to provide an overview of natural pre-existing herbicide resistance and development of herbicide-resistant technologies in wheat. The mechanisms of resistance to herbicides in wheat as well as the weed populations in wheat cropping systems, and implications for weed management are discussed.

INFINITELY MANY SOLUTIONS FOR ELLIPTIC SYSTEMS WITH STRONGLY INDEFINITE VARIATIONAL STRUCTURE

Based on the multiplicity results of Benci and Fortunato [4], we consider some elliptic systems with strongly indefinite quadratic part, and establish the existence of infinitely many nontrivial solutions in a suitable family of products of fractional Sobolev spaces.

Formalization of P Systems by Maude

Rewriting logic is a unified model of concurrency, which provides a formal commo n framework of well-known models of concurrent systems. A new formal method of t he specification and execution of P systems using rewriting logic was proposed. The powerful tool Ma ude 2.0 is used to implement this specification. In order to present the general ideas in a concr ete case study, a simple and classical example from the literature is adopted to present how to formally spe cify and execute a P system.

带p-Laplacian算子的分数阶微分方程半正系统正解的存在性

对一类带有p-Laplacian算子和含有分数阶积分的奇异非线性项的Riemann-Liouville型分数阶微分方程半正系统正解的存在性进行了分析与研究,其边界条件包括不同阶的分数阶导数、Riemann-Stieltjes积分和无穷点边值条件.基于相关Green函数的性质以及不动点指数定理,得到了参数属于合适区间时,该系统至少存在一个正解的充分条件.通过具体实例验证了所得结果的实用性.

MRI联合交感皮肤反应及经颅超声诊断帕金森病与多系统萎缩P型的研究

目的 探讨头部常规磁共振(MRI)联合交感神经皮肤反应(SSR)及经颅超声成像(TCS)用于诊断帕金森病(PD)与多系统萎缩P型(MSA-P型)的价值。方法 收集2019-01—2022-06郑州大学第五附属医院临床确诊且具有完整资料的22例MSA-P型患者和29例PD患者,均行头部常规MRI、SSR和TCS检查,采用ROC曲线评价头部MRI、SSR和TCS诊断MSA-P型和PD患者的临床价值。结果 壳核裂隙征具有影像特异性,MSA-P型组远高于PD组(P<0.05)。MSA-P型组上、下肢SSR平均起始潜伏期延长,平均波幅降低与PD组比较差异有统计学意义(P<0.01)。2组黑质强回声面积、黑质强回声总面积与中脑总面积比值比较差异有统计学意义(P<0.01)。ROC曲线下壳核裂隙征有高特异性(96.8%),SSR上肢潜伏期有高敏感性(88.2%),SN强回声面积诊断价值最高,曲线下面积(AUC)为0.881;头部MRI联合SSR、TCS用于预测两种疾病的敏感度为72.1%,AUC为0.913。结论 分析头部MRI检查结果,早期进行SSR、TCS检查可提高对MSA-P型与PD患者的诊断率。

P-kernel Normal Systems in Weakly P-inversive Semigroups

在这份报纸，我们首先以他们正常 systems.It 被证明那的P核在 S (P)上给我们描述的弱P反向的 semigroup S (P) .Then 的概念强壮的P一致 systems.Finally 在强壮的P一致和P核正常之间有 bijection ，它是也证明强壮的P一致的格子和 S (P)上的P核正常系统的格子是同形的。

基于模糊逻辑的光伏系统变步长P&O MPPT算法

为解决光伏发电系统中最大功率点跟踪(MPPT)关键难题,提出一种改进的扰动观察(P&O)最大功率点跟踪算法,该算法使用基于模糊逻辑的可变步长扰动观测MPPT算法(FP&O)来克服与传统P&O MPPT跟踪方法相关的无法兼顾跟踪速度和稳态精度的限制,从而改善瞬态响应并降低稳态端电压振荡。所提出的MPPT算法通过MATLAB仿真验证其有效性和可行性。仿真结果表明,基于模糊逻辑的变步长P&O MPPT算法相比传统MPPT算法兼顾了跟踪速度和稳态精度,系统响应速度更快,平均输出功率更高且功率振荡范围更小,改善了光伏系统的动、静态工作性能。

Semantic Query Mechanism on Peer to Peer XML-Based Information Systems

To enable accessing web information at semantic level, this paper develops a semantic query rewriting mechanism on peer to peer XISs with complex ontology mapping technology. It discusses the patterns of complex ontology mappings at first, and the ontology-based query mechanism in peer to peer environment. The extension of XML query algebra and XML query rewriting mechanism are dissussed in detail.

L^p-L^q decay estimates of solutions to Cauchy problems of thermoviscoelastic systems

L^p- L^q decay estimate of solution to Cauchy problem of a linear thermoviscoelastic system is studied. By using a diagonalization argument of frequency analysis, the coupled system will be decoupled micrologically. Then with the help of the information of characteristic roots for the coefficient matrix of the system, L^p- L^q decay estimate of parabolic type of solution to the Cauchy problem is obtained.

Analysis of S^p_q current systems by using corrected geomagnetic coordinate

The S^p_q equivalent current system of the quiet day geomagnetic variation in the polar region is very complicated. It is composed of several currents, such as the ionospheric dynamo current and the auroral electrojet caused by the field aligned current. S p q is unsymmetrical in both polar regions. In this paper, the S p q current systems are analyzed in the corrected geomagnetic coordinates (CGM) instead of the conventional geomagnetic coordinates (GM), and the symmetries of the S p q current in different systems are compared. Then the causes of S p q asymmetry in the GM coordinates are discussed; the effects of each component in S p q are determined.

Peer selecting model based on FCM for wireless distributed P2P files sharing systems

IIn order to improve the performance of wireless distributed peer-to-peer(P2P)files sharing systems,a general system architecture and a novel peer selecting model based on fuzzy cognitive maps(FCM)are proposed in this paper.The new model provides an effective approach on choosing an optimal peer from several resource discovering results for the best file transfer.Compared with the traditional min-hops scheme that uses hops as the only selecting criterion,the proposed model uses FCM to investigate the complex relationships among various relative factors in wireless environments and gives an overall evaluation score on the candidate.It also has strong scalability for being independent of specified P2P resource discovering protocols.Furthermore,a complete implementation is explained in concrete modules.The simulation results show that the proposed model is effective and feasible compared with min-hops scheme,with the success transfer rate increased by at least 20% and transfer time improved as high as 34%.

Analysis of Facility Systems’ Reliability Subject to Edge Failures: Based on the p-Median Problem

We view a facility system as a kind of supply chain and model it as a connected graph in which the nodes represent suppliers, distribution centers or customers and the edges represent the paths of goods or information. The efficiency, and hence the reliability, of a facility system is to a large degree adversely affected by the edge failures in the network. In this paper, we consider facility systems' reliability analysis based on the classical p-median problem when subject to edge failures. We formulate two models based on deterministic case and stochastic case to measure the loss in efficiency due to edge failures and give computational results and reliability envelopes for a specific example.

低填充P-Si基阻燃体系协效阻燃PA66的制备及性能

尼龙66(PA66)作为一种广泛使用的工程塑料,因其优异的力学性能和加工性能而备受青睐。然而,PA66的可燃性限制了其在某些安全要求较高的应用领域的发展。为了解决这一问题,可通过构建P-Si基协效阻燃体系,对PA66进行熔融共混改性,以期提高其阻燃性能、力学性能及热稳定性。采用熔融共混法制备PA66复合材料,利用二乙基次磷酸铝(ADP)、次磷酸铝(AHP)及纳米二氧化硅(SiO2)构建多元协效阻燃体系,并系统研究了ADP/AHP/SiO2协效阻燃体系对PA66性能的影响,对PA66复合材料的阻燃性能、力学性能及热稳定性进行了综合评价。实验结果表明,ADP/AHP/SiO2协效阻燃体系显著提升了PA66的阻燃性能,当添加总量为9份时,PA66复合材料的阻燃等级达到V-0级别,极限氧指数高达34.3%。此外,PA66复合材料的拉伸性能也得到了显著提升,拉伸强度和拉伸弹性模量分别提高了27%和36%。热重测试显示,PA66复合材料的热稳定性也有明显改善。ADP/AHP/SiO2协效阻燃体系不仅显著提高了PA66的阻燃性能,还有效改善了其力学性能和热稳定性。该体系的引入为PA66的工程应用提供了有力支持,具有重要的实际应用价值和市场前景。

Razumikhin-Type Theorems on General Decay Stability of Impulsive Stochastic Functional Differential Systems with Markovian Switching

In this paper, the Razumikhin approach is applied to the study of both p-th moment and almost sure stability on a general decay for a class of impulsive stochastic functional differential systems with Markovian switching. Based on the Lyapunov-Razumikhin methods, some sufficient conditions are derived to check the stability of impulsive stochastic functional differential systems with Markovian switching. One numerical example is provided to demonstrate the effectiveness of the results.

Robustness of iterative learning control for a class offractional-order linear continuous-time switched systems in the sense of L^p norm

For a class of fractional-order linear continuous-time switched systems specified by an arbitrary switching sequence,the performance of PDα-type fractional-order iterative learning control(FOILC)is discussed in the sense of L^p norm.When the systems are disturbed by bounded external noises,robustness of the PDα-type algorithm is firstly analyzed in the iteration domain by taking advantage of the generalized Young inequality of convolution integral.Then,convergence of the algorithm is discussed for the systems without any external noise.The results demonstrate that,under some given conditions,both convergence and robustness can be guaranteed during the entire time interval.Simulations support the correctness of the theory.

Spiking neural P systems with anti-spikes and without annihilating priority as number acceptors

Spiking neural P systems with anti-spikes （ASN P systems） are variant forms of spiking neural P systems, which are inspired by inhibitory impulses/spikes or inhibitory synapses. The typical feature of ASN P systems is when a neuron contains both spikes and anti-spikes, spikes and anti-spikes wil immediately annihilate each other in a maximal way. In this paper, a restricted variant of ASN P systems, cal ed ASN P systems without anni-hilating priority, is considered, where the annihilating rule is used as the standard rule, i.e., it is not obligatory to use in the neuron associated with both spikes and anti-spikes. If the annihilating rule is used in a neuron, the annihilation wil consume one time unit. As a result, such systems using two categories of spiking rules （identified by （a, a） and （a,a^-）） can achieve Turing completeness as number accepting devices.

Power Transformer Fault Diagnosis Using Fuzzy Reasoning Spiking Neural P Systems

This paper presents an intelligent technique to fault diagnosis of power transformers dissolved and free gas analysis (DGA). Fuzzy Reasoning Spiking neural P systems (FRSN P systems) as a membrane computing with distributed parallel computing model is powerful and suitable graphical approach model in fuzzy diagnosis knowledge. In a sense this feature is required for establishing the power transformers faults identifications and capturing knowledge implicitly during the learning stage, using linguistic variables, membership functions with “low”, “medium”, and “high” descriptions for each gas signature, and inference rule base. Membership functions are used to translate judgments into numerical expression by fuzzy numbers. The performance method is analyzed in terms for four gas ratio (IEC 60599) signature as input data of FRSN P systems. Test case results evaluate that the proposals method for power transformer fault diagnosis can significantly improve the diagnosis accuracy power transformer.