Multiobjective Optimization of Simulated Moving Bed by Tissue P System

The binaphthol enantiomers separation process using simulation moving bed technology is simulated with the true moving bed approach （TMB）. In order to systematically optimize the process with multiple productive objectives, this article develops a variant of tissue P system （TPS）. Inspired by general tissue P systems, the special TPS has a tissue-like structure with several membranes. The key rules of each membrane are the communication rule and mutation rule. These characteristics contribute to the diversity of the population, the conquest of the multimodal of objective function, and the convergence of algorithm. The results of comparison with a popular algorithm——the non-dominated sorting genetic algorithm 2（NSGA-2） illustrate that the new algorithm has satisfactory performance. Using the algorithm, this study maximizes synchronously several conflicting objectives, purities of different products, and productivity.

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.

Cache Coherency Design in Pentium Ⅲ SMP System

This paper analyzes cache coherency mechanism from the view of system. It firstly discusses caehe-memory hierarchy of Pentium Ⅲ SMP system, including memory area distribution, cache attributes control and bus transaction. Secondly it analyzes hardware snoopy mechanism of P6 bus and MESI state transitions adopted by Pentium Ⅲ. Based on these, it focuses on how muhiprocessors and the P6 bus cooperate to ensure cache coherency of the whole system, and gives the key of cache coherency design.

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.

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.

A Trust Scheme Based DRM Model for P2P System

With the maturation of P2P technology, there are more and more challenges to the protection of digital rights. DRM for traditional Client/Server model can not satisfy the requirement of digital right protection of P2P network. With practical application of P2P network technology and new generational DRM technology, the article proposes a DRM model for P2P system based on trust degree. The proposed model shares the secret key to the trusty peers and affords necessary security ensure for digital content delivery based on P2P technology. Mathematic analyses and simulations show that, compared to the current DRM model, the proposed model is more robust toleration of transmit and security.

HICUS:A QUASI-STRUCTURED P2P SYSTEM BASED ON HIERARCHICAL INTEREST

The key problem in unstructured P2P system is how to control "Flood".Some studies focus on constructing more efficient topology while others focus on better query algorithms.This paper presents HICUS(Hierarchical Interest-driven Community-based Unstructured System) motivated by a basic thought-whether the resources correlate with topology distinguishes structured and unstruc-tured P2P essentially.By introducing hierarchical "interest",HICUS organizes a quasi-structured topology through a pure distributed way,and provides a new platform for query algorithms.We study the procedure and performance of topology organization,and the simulations show that HICUS forms a small-world which can significantly improve the routing efficiency.

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.

Image Segmentation-P300 Selector: A Brain–Computer Interface System for Target Selection

Brain–computer interface (BCI) systems, such as the P300 speller, enable patients to express intentions withoutnecessitating extensive training.However, the complexity of operational instructions and the slow pace of characterspelling pose challenges for some patients. In this paper, an image segmentation P300 selector based on YOLOv7-mask and DeepSORT is proposed. The proposed system utilizes a camera to capture real-world objects forclassification and tracking. By applying predefined stimulation rules and object-specificmasks, the proposed systemtriggers stimuli associated with the objects displayed on the screen, inducing the generation of P300 signals in thepatient’s brain. Its video processing mechanism enables the system to identify the target the patient is focusing oneven if the object is partially obscured, overlapped, moving, or changing in number. The system alters the target’scolor display, thereby conveying the patient’s intentions to caregivers. The data analysis revealed that the selfrecognitionaccuracy of the subjects using this method was between 92% and 100%, and the cross-subject P300recognition precision was 81.9%–92.1%. This means that simple instructions such as “Do not worry, just focuson what you desire” effectively discerned the patient’s intentions using the Image Segmentation-P300 selector. Thisapproach provides cost-effective support and allows patients with communication difficulties to easily express theirneeds.

Atmospheric nitrogen deposition affects forest plant and soil system carbon:nitrogen:phosphorus stoichiometric flexibility:A meta-analysis

Background:Nitrogen(N)deposition affects forest stoichiometric flexibility through changing soil nutrient availability to influence plant uptake.However,the effect of N deposition on the flexibility of carbon(C),N,and phosphorus(P)in forest plant-soil-microbe systems remains unclear.Methods:We conducted a meta-analysis based on 751 pairs of observations to evaluate the responses of plant,soil and microbial biomass C,N and P nutrients and stoichiometry to N addition in different N intensity(050,50–100,>100 kg·ha^(-1)·year^(-1)of N),duration(0–5,>5 year),method(understory,canopy),and matter(ammonium N,nitrate N,organic N,mixed N).Results:N addition significantly increased plant N:P(leaf:14.98%,root:13.29%),plant C:P(leaf:6.8%,root:25.44%),soil N:P(13.94%),soil C:P(10.86%),microbial biomass N:P(23.58%),microbial biomass C:P(12.62%),but reduced plant C:N(leaf:6.49%,root:9.02%).Furthermore,plant C:N:P stoichiometry changed significantly under short-term N inputs,while soil and microorganisms changed drastically under high N addition.Canopy N addition primarily affected plant C:N:P stoichiometry through altering plant N content,while understory N inputs altered more by influencing soil C and P content.Organic N significantly influenced plant and soil C:N and C:P,while ammonia N changed plant N:P.Plant C:P and soil C:N were strongly correlated with mean annual precipitation(MAT),and the C:N:P stoichiometric flexibility in soil and plant under N addition connected with soil depth.Besides,N addition decoupled the correlations between soil microorganisms and the plant.Conclusions:N addition significantly increased the C:P and N:P in soil,plant,and microbial biomass,reducing plant C:N,and aggravated forest P limitations.Significantly,these impacts were contingent on climate types,soil layers,and N input forms.The findings enhance our comprehension of the plant-soil system nutrient cycling mechanisms in forest ecosystems and plant strategy responses to N deposition.

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.

Systematic functional interrogation of genome-wide association studies locus 17p13.3 deciphered role and genetic control of FAM57A in colorectal cancer development

Objective:Genome-wide association studies(GWAS)have identified over 150 risk loci linked to colorectal cancer(CRC),including the 17p13.3 locus with the tag single nucleotide polymorphism(SNP)rs12603526 in the Asian population.However,the specific causal gene and the functional regulatory mechanisms in this region remain unresolved,necessitating further investigation to elucidate the underlying mechanisms of CRC.Methods:We employed an RNA interference-based functional approach to identify genes critical for CRC cell proliferation at the GWAS locus 17p13.3.Bioinformatic fine-mapping analysis was conducted to prioritize causal variants.A large-scale study involving 7,013 cases and 7,329 controls from a Chinese population,along with another cohort of 5,158 cases and 20,632 controls from the UK Biobank,was performed to validate the association between the candidate variant and the gene.A series of biological experiments was conducted to explore the function of the candidate gene and its regulatory mechanisms.Results:We identified FAM57A as a key oncogene that promotes CRC cell proliferation,and confirmed its carcinogenic role through in vitro proliferation assays.The variant rs526835 was prioritized as a causal candidate for CRC risk,located in a functional region with enhancer properties,and showed a significant quantitative association with FAM57A expression.The rs526835[T]variant was associated with a 1.17-fold increase in CRC risk[95%confidence interval(95%CI):1.11−1.23,P=1.23×10−9]in the large-scale Chinese cohort,which was further corroborated in the UK Biobank cohort.Mechanistically,we demonstrated that rs526835 enhances a promoterenhancer interaction mediated by the transcription factor JUN,leading to increased expression of FAM57A.Conclusions:We reveal the underlying mechanisms of CRC predisposition at the GWAS locus 17p13.3.Additionally,our findings highlight the critical role of FAM57A in CRC pathogenesis and introduce a novel enhancer-promoter interaction between FAM57A and rs526835,which could inform future precision prevention and personalized cancer therapies.

A Low-carbon Operation Optimization Method of ETG-RIES Based on Adaptive Optimization Spiking Neural P Systems

To enhance multi-energy complementarity and foster a low carbon economy of energy resources,this paper proposes an innovative low-carbon operation opti-mization method for electric-thermal-gas regional inte-grated energy systems.To bolster the low-carbon operation capabilities of such systems,a coordinated operation framework is presented that integrates carbon capture devices,power to gas equipment,combined heat and power units,and a multi-energy storage system.To address the challenge of high-dimensional constraint imbalance in the optimization process,a novel low-carbon operation opti-mization method is then proposed.The new method is based on an adaptive single-objective continuous optimiza-tion spiking neural P system,specifically designed for this purpose.Furthermore,simulation models of four typical schemes are established and employed to test and analyze the economy and carbon environmental pollution degree of the proposed system model,as well as the performance of the operation optimization method.Finally,simulation results show that the proposed method not only considers the economic viability of the target integrated energy sys-tem,but also significantly improves the wind power utilization and carbon reduction capabilities.

Virtual Keyboard:A Real-Time Hand Gesture Recognition-Based Character Input System Using LSTM and Mediapipe Holistic

In the digital age,non-touch communication technologies are reshaping human-device interactions and raising security concerns.A major challenge in current technology is the misinterpretation of gestures by sensors and cameras,often caused by environmental factors.This issue has spurred the need for advanced data processing methods to achieve more accurate gesture recognition and predictions.Our study presents a novel virtual keyboard allowing character input via distinct hand gestures,focusing on two key aspects:hand gesture recognition and character input mechanisms.We developed a novel model with LSTM and fully connected layers for enhanced sequential data processing and hand gesture recognition.We also integrated CNN,max-pooling,and dropout layers for improved spatial feature extraction.This model architecture processes both temporal and spatial aspects of hand gestures,using LSTM to extract complex patterns from frame sequences for a comprehensive understanding of input data.Our unique dataset,essential for training the model,includes 1,662 landmarks from dynamic hand gestures,33 postures,and 468 face landmarks,all captured in real-time using advanced pose estimation.The model demonstrated high accuracy,achieving 98.52%in hand gesture recognition and over 97%in character input across different scenarios.Its excellent performance in real-time testing underlines its practicality and effectiveness,marking a significant advancement in enhancing human-device interactions in the digital age.

Effects of Inoculation with Phosphate Solubilizing Bacteria on the Physiology,Biochemistry,and Expression of Genes Related to the Protective Enzyme System of Fritillaria taipaiensis P.Y.Li

Fritillaria taipaiensis P.Y.Li is a widely used medicinal herb in treating pulmonary diseases.In recent years,its wild resources have become scarce,and the demand for efficient artificial cultivation has significantly increased.This article is the first to apply phosphate solubilizing bacteria isolated from the rhizosphere soil of F.taipaiensis P.Y.Li to the cultivation process of F.taipaiensis P.Y.Li.The aim is to identify suitable reference strains for the artificial cultivation and industrial development of F.taipaiensis P.Y.Li by examining the effects of various phosphate solubilizing bacteria and their combinations on photosynthesis,physiological and biochemical properties,and gene expression related to the protective enzyme system in F.taipaiensis P.Y.Li.The experiment,conducted in pots at room temperature,included a control group(CK)and groups inoculated with inorganic phosphorussolubilizing bacteria:W1(Bacillus cereus),W2(Serratia plymuthica),W12(Bacillus cereus and Serratia plymuthica),and groups inoculated with organophosphorus-solubilizing bacteria:Y1(Bacillus cereus),Y2(Bacillus cereus),Y12(Bacillus cereus and Bacillus cereus),totaling seven groups.Compared to CK,most growth indices in the bacterial addition groups showed significant differences,with W12 achieving the highest values in all indices except the leaf area index.The content of photosynthetic pigments,photosynthetic parameters,and osmoregulatory substances increased variably in each bacterial treatment group.W12 exhibited the highest content of chlorophyll a and soluble protein,while W1 had the highest free proline content.The activities of peroxidase(POD),superoxide dismutase(SOD),and catalase(CAT)in all inoculated groups were higher than in CK,with significant changes in SOD and CAT activities.The malondialdehyde(MDA)content in all inoculated groups was lower than in CK,with Y12 being the lowest,at approximately 30%of CK.Gene expression corresponding to these three enzymes also increased variably,with POD expression in Y2 being the highest at 2.73 times that of CK.SOD and CAT expression in Y12 were the highest,at 1.84 and 4.39 times that of CK,respectively.These results indicate that inoculating phosphate solubilizing bacteria can enhance the growth of F.taipaiensis P.Y.Li,with the mixed inoculation groups W12 and Y12 demonstrating superior effects.This lays a theoretical foundation for selecting bacterial fertilizers in the cultivation process of F.taipaiensis P.Y.Li.

A fault segment location method for distribution networks based on spiking neural P systems and Bayesian estimation

With the increasing scale of distribution networks and the mass access of distributed generation,traditional central-ized fault location methods can no longer meet the performance requirements of speed and high accuracy.There-fore,this paper proposes a fault segment location method based on spiking neural P systems and Bayesian estimation for distribution networks with distributed generation.First,the distribution network system topology is decoupled into single-branch networks.A spiking neural P system with excitatory and inhibitory synapses is then proposed to model the suspected faulty segment,and its matrix reasoning algorithm is executed to obtain a preliminary set of location results.Finally,the Bayesian estimation and contradiction principle are applied to verify and correct the ini-tial results to obtain the final location results.Simulation results based on the IEEE 33-node system validate the feasi-bility and effectiveness of the proposed method.

电力P2P交易中计及社会福利的产消者合作联盟

随着分布式清洁能源发电技术的发展,传统电力用户逐渐转变为电能产消者,并可采用合作联盟形式参与电力P2P(peer to peer)交易,促进分布式清洁能源就地消纳。该文通过从源端和传输端分别核算碳减排量的方法,构建一类考虑经济效益和环境效益的社会福利函数,研究分布式电能产消者通过合作联盟形式实现社会福利最大化的途径。设计一种依据产消者对联盟社会福利贡献值分配合作剩余的机制,激励产消者合作的积极性以维持联盟的稳定。算例分析表明:相较于P2G(peer-to-grid)交易和非合作P2P交易,产消者以合作联盟方式参与电力P2P交易的社会福利分别提升了62.62%、33.79%。因此,以市场化的方式组建合作联盟参与电力P2P交易并合理分配利益,可挖掘分布式清洁能源就地消纳的潜力,促进能源消费的绿色低碳转型。

新风胶囊抑制软骨细胞炎症和细胞外基质降解:基于调控miR-502-5p/TRAF2/NF-κB轴

目的探讨新风胶囊(XFC)对白介素(IL)-1β诱导的软骨细胞功能的影响及作用机制。方法构建IL-1β诱导的软骨细胞炎症模型;SD大鼠灌胃制备XFC含药血清。细胞增殖实验(CCK-8)和流式细胞术筛选最佳XFC含药血清浓度;双荧光素酶报告分析miR-502-5p和TRAF2的靶向关系。构建miR-502-5p抑制表达质粒(inhibitor)及阴性对照组,转染至软骨细胞中。分为对照组(NC),IL-1β组,XFC组,IL-1β+NC-inhibitor,IL-1β+miR-502-5pinhibitor,IL-1β+miR-502-5pinhibitor+XFC最佳含药血清组,酶联免疫吸附试验(ELASA)检测IL-1β、肿瘤坏死因子-α(TNF-α)、IL-4、IL-10的水平。逆转录PCR(RT-PCR)、蛋白质免疫印迹实验(WB)、免疫荧光法检测Ⅱ型胶原α1(COL2A1)、基质金属蛋白酶13(MMP13)、软骨蛋白聚糖抗体(ADAMTS5)和miR-502-5p/TRAF2/NF-κB基因的表达。结果与NC组相比,IL-1β组中软骨细胞活力下降,细胞凋亡率升高,且miR-502-5p、IL-4、IL-10和COL2A1表达下降,IL-1β、TNF-α和ADAMTS5、MMP13、TRAF2、NF-κB p65表达升高(P<0.05)。筛选得出20%XFC为最佳含药血清浓度。与IL-1β组相比,XFC含药血清干预后,软骨细胞活力升高,细胞凋亡率下降,IL-1β、TNF-α、ADAMTS5、MMP13、TRAF2、NF-κBp65表达下降,miR-502-5p、IL-4、IL-10和COL2A1表达升高(P<0.05)。与NC-inhibitor相比,转染miR-502-5p inhibitor后,IL-1β、TNF-α、ADAMTS5、MMP13、TRAF2、NF-κB p65表达升高,miR-502-5p、IL-4、IL-10和COL2A1表达下降;与miR-502-5pinhibitor相比,将miR-502-5pinhibitor转染的软骨细胞和最佳XFC含药血清共培养后,XFC含药血清能逆转miR-502-5p抑制状态对软骨细胞炎症和ECM的影响。结论XFC抑制软骨细胞炎症、细胞外基质降解,减轻IL-1β诱导的软骨细胞损伤,其机制可能是通过调节miR-502-5p/TRAF2/NF-κB轴。

miR-141-3p对腰椎间盘突出症大鼠背根神经节炎症及下肢疼痛的抑制和改善作用

背景:研究表明,胰岛素样生长因子1/血小板源性生长因子有抑制纤维环细胞凋亡的作用。miR-141-3p微小RNA在骨髓基质细胞中随着年龄的增加而增加,且与炎症信号通路的活化存在一定关系,提示其可能成为腰椎间盘突出症的治疗靶点。目的:探究miR-141-3p通过调控胰岛素样生长因子1/血小板源性生长因子对腰椎间盘突出症大鼠背根神经节炎症及下肢疼痛的影响。方法:选取50只SPF级SD雄性大鼠,随机分为正常组、模型组、miR-NC组、miR-141-3p inhibitor组、miR-141-3p mimics组,每组10只。除正常组外,其余大鼠采用自体髓核移植法进行腰椎间盘突出症建模。建模成功后,对miR-NC组、miR-141-3p inhibitor组和miR-141-3p mimics组大鼠鞘内分别注射10μL 20μmol/L miR-NC,miR-141-3p inhibitor,miR-141-3p mimics,均每天注射1次,连续注射28 d;正常组、模型组同期同位置注射同体积生理盐水。采用热缩足潜伏期阈值评价大鼠下肢疼痛,实时荧光定量PCR检测背根神经节组织miR-141-3p mRNA表达,ELISA法检测背根神经节组织炎症因子,免疫印迹法检测背根神经节组织胰岛素样生长因子1/血小板源性生长因子蛋白表达,并分析miR-141-3p与胰岛素样生长因子1/血小板源性生长因子的相关性。结果与结论:miR-NC组各项指标与模型组比较,差异均无显著性意义。①大鼠热缩足潜伏期阈值:模型组明显低于正常组(P<0.05),miR-141-3p inhibitor组明显低于miR-NC组(P<0.05),miR-141-3p mimics组明显高于miR-141-3p inhibitor组(P<0.05)。②背根神经节组织miR-141-3p mRNA表达:模型组明显低于正常组(P<0.05),miR-141-3p inhibitor组明显低于miR-NC组(P<0.05),miR-141-3p mimics组明显高于miR-141-3p inhibitor组(P<0.05)。③背根神经节组织肿瘤坏死因子α、白细胞介素1β、白细胞介素1含量:模型组明显高于正常组(P<0.05),miR-141-3p inhibitor组明显高于miR-NC组(P<0.05),miR-141-3p mimics组明显低于miR-141-3p inhibitor组(P<0.05)。④背根神经节组织胰岛素样生长因子1、血小板源性生长因子蛋白表达:模型组明显低于正常组(P<0.05),miR-141-3p inhibitor组明显低于miR-NC组(P<0.05),miR-141-3p mimics组明显高于miR-141-3p inhibitor组(P<0.05)。⑤胰岛素样生长因子1与miR-141-3p呈正相关(r=0.904,P<0.001),血小板源性生长因子与miR-141-3p呈正相关(r=0.879,P<0.001)。⑥结论:miR-141-3p可显著改善腰椎间盘突出症大鼠下肢疼痛,抑制背根神经节炎症,其机制可能与促进胰岛素样生长因子1/血小板源性生长因子表达有关。