基于深度学习模型的非小细胞肺癌新辅助免疫联合化疗疗效预测

目的:基于深度学习算法,使用临床数据构建人工智能(artificial intelligence,AI)模型,评估其预测非小细胞肺癌(nonsmall cell lung cancer,NSCLC)新辅助免疫联合化疗疗效的可行性。方法:收集2020年1月至2024年1月于首都医科大学附属北京胸科医院确诊且接受新辅助免疫联合化疗的132例NSCLC患者的临床病理数据。对影响新辅助免疫联合化疗疗效的主要因素进行统计学分析。根据统计学分析结果以及查阅相关文献对变量进行筛选,构建变量数据集。基于多层感知机(multi-layer perceptron,MLP)算法采用5折交叉验证建立深度学习模型,应用接收者操作特征(receiver operating characteristic,ROC)曲线评估模型性能。结果:132例患者中单因素分析显示获得主要病理缓解(major pathological response,MPR)组与未获得MPR组的患者在性别(P=0.020)、吸烟史(P=0.004)、癌胚抗原(carcinoembryonic antigen,CEA)(P=0.038)及程序性死亡配体-1(programmed death-ligand 1,PD-L1)是否≥1%(P=0.038)方面差异具有统计学意义;获得完全病理缓解(complete pathological response,pCR)组与未获pCR组患者在肿瘤大小是否≤3 cm(P=0.007)和CEA水平方面(P=0.010)差异具有统计学意义。经5折交叉验证后,MPR预测模型在验证集和测试集的平均受试者工作特征曲线下面积(area under the curve,AUC)值分别为0.72及0.71。结论:该深度学习模型能够有效预测NSCLC患者新辅助免疫联合化疗疗效。

显花植物自交不亲和性的分子与演化机制

自交不亲和性(self-incompatibility, SI)是雌雄同花植物广泛采取的一种种内促进异交机制,通常由一个多态且复等位的S位点控制。目前共发现6种不同分子机制的SI,包括由花柱S因子S-RNase和花粉S因子SLFs控制且常见于车前科、茄科、蔷薇科和芸香科的I类、SRK和SCR控制的十字花科II类、PrsS和PrpS控制的罂粟科III类、CYP-GLO2-KFB-CCM-PUM控制的报春花科IV类、TsSPH1-TsYUC6-TsBAHD控制的时钟花科V类及HPS10-S和DUF247I-S控制的禾本科VI类SI,其中I类SI为异己识别体系,而II、III和VI类均为自己识别系统。此外,近年来对其起源和演化机制研究也取得显著进展。其中,I类SI起源于真双子叶植物的最近共同祖先,II~V类则为丢失I类后分别进化产生的新机制,而单子叶禾本科特有的VI类SI则可能是在丢失古老I类SI后演化出的新系统。本文主要总结已报道SI的分子和演化机制,以期为显花植物SI的理论研究和育种应用提供参考和帮助。

Morpho-cultural, Pathogenicity and Molecular Characterization of Phyllosticta capitalensis Inciting Cavendish Banana Freckle Disease in Hainan

[Objectives]The study was to identify the casual agent of freckle disease on Cavendish banana in Hainan Province,China.[Methods]Fungal isolates were isolated from affected leaf tissues and identified by the morphological features,molecular identification and pathogenicity test.[Results]The fungus isolated from affected leaf tissues was identified as Phyllosticta capitalensis based on the morphological properties of the colony and spore,coupled with sequence analyses of the internal transcribed spacer(ITS)region and the large subunit(LSU)rDNA gene.Koch s postulates were fulfilled by successfully re-isolating the pathogen from the artificial inoculated leaves.[Conclusions]P.capitalensis is a new pathogen responsible for Cavendish banana freckle disease in Hainan.

Dynamic plugging regulating strategy of pipeline robot based on reinforcement learning

Pipeline isolation plugging robot (PIPR) is an important tool in pipeline maintenance operation. During the plugging process, the violent vibration will occur by the flow field, which can cause serious damage to the pipeline and PIPR. In this paper, we propose a dynamic regulating strategy to reduce the plugging-induced vibration by regulating the spoiler angle and plugging velocity. Firstly, the dynamic plugging simulation and experiment are performed to study the flow field changes during dynamic plugging. And the pressure difference is proposed to evaluate the degree of flow field vibration. Secondly, the mathematical models of pressure difference with plugging states and spoiler angles are established based on the extreme learning machine (ELM) optimized by improved sparrow search algorithm (ISSA). Finally, a modified Q-learning algorithm based on simulated annealing is applied to determine the optimal strategy for the spoiler angle and plugging velocity in real time. The results show that the proposed method can reduce the plugging-induced vibration by 19.9% and 32.7% on average, compared with single-regulating methods. This study can effectively ensure the stability of the plugging process.

Necroptosis contributes to non-alcoholic fatty liver disease pathoetiology with promising diagnostic and therapeutic functions

Nonalcoholic fatty liver disease(NAFLD)is the most prevalent type of chronic liver disease.However,the disease is underappreciated as a remarkable chronic disorder as there are rare managing strategies.Several studies have focused on determining NAFLD-caused hepatocyte death to elucidate the disease pathoe-tiology and suggest functional therapeutic and diagnostic options.Pyroptosis,ferroptosis,and necroptosis are the main subtypes of non-apoptotic regulated cell deaths(RCDs),each of which represents particular characteristics.Considering the complexity of the findings,the present study aimed to review these types of RCDs and their contribution to NAFLD progression,and subsequently discuss in detail the role of necroptosis in the pathoetiology,diagnosis,and treatment of the disease.The study revealed that necroptosis is involved in the occurrence of NAFLD and its progression towards steatohepatitis and cancer,hence it has potential in diagnostic and therapeutic approaches.Nevertheless,further studies are necessary.

Improved Convolutional Neural Network for Traffic Scene Segmentation

In actual traffic scenarios,precise recognition of traffic participants,such as vehicles and pedestrians,is crucial for intelligent transportation.This study proposes an improved algorithm built on Mask-RCNN to enhance the ability of autonomous driving systems to recognize traffic participants.The algorithmincorporates long and shortterm memory networks and the fused attention module(GSAM,GCT,and Spatial Attention Module)to enhance the algorithm’s capability to process both global and local information.Additionally,to increase the network’s initial operation stability,the original network activation function was replaced with Gaussian error linear unit.Experiments were conducted using the publicly available Cityscapes dataset.Comparing the test results,it was observed that the revised algorithmoutperformed the original algorithmin terms of AP_(50),AP_(75),and othermetrics by 8.7%and 9.6%for target detection and 12.5%and 13.3%for segmentation.

Enhancing Log Anomaly Detection with Semantic Embedding and Integrated Neural Network Innovations

System logs,serving as a pivotal data source for performance monitoring and anomaly detection,play an indispensable role in assuring service stability and reliability.Despite this,the majority of existing log-based anomaly detection methodologies predominantly depend on the sequence or quantity attributes of logs,utilizing solely a single Recurrent Neural Network(RNN)and its variant sequence models for detection.These approaches have not thoroughly exploited the semantic information embedded in logs,exhibit limited adaptability to novel logs,and a single model struggles to fully unearth the potential features within the log sequence.Addressing these challenges,this article proposes a hybrid architecture based on amultiscale convolutional neural network,efficient channel attention and mogrifier gated recurrent unit networks(LogCEM),which amalgamates multiple neural network technologies.Capitalizing on the superior performance of robustly optimized BERT approach(RoBERTa)in the realm of natural language processing,we employ RoBERTa to extract the original word vectors from each word in the log template.In conjunction with the enhanced Smooth Inverse Frequency(SIF)algorithm,we generate more precise log sentence vectors,thereby achieving an in-depth representation of log semantics.Subsequently,these log vector sequences are fed into a hybrid neural network,which fuses 1D Multi-Scale Convolutional Neural Network(MSCNN),Efficient Channel Attention Mechanism(ECA),and Mogrifier Gated Recurrent Unit(GRU).This amalgamation enables themodel to concurrently capture the local and global dependencies of the log sequence and autonomously learn the significance of different log sequences,thereby markedly enhancing the efficacy of log anomaly detection.To validate the effectiveness of the LogCEM model,we conducted evaluations on two authoritative open-source datasets.The experimental results demonstrate that LogCEM not only exhibits excellent accuracy and robustness,but also outperforms the current mainstream log anomaly detection methods.

Clinical characteristics of patients with early gastric prematurity cancer and analysis of complications by endoscopic resection

BACKGROUND Gastric cancer,a prevalent malignancy,poses a severe threat to the health of residents in China.Timely intervention in early stages can extend patients’survival.AIM To analyze clinical characteristics of patients with early gastric cancer and efficacy and risk of complications associated with endoscopic resection.METHODS This study included 175 patients with early gastric cancer treated at our hospital,with no restrictions on sex or age.General data,pathological information,and endoscopic biopsy results were obtained.The clinical characteristics of early gastric cancer were analyzed,and endoscopic resection was performed.Postoperative efficacy and incidence of complications were monitored.Statistical analysis was performed using SPSS 26.0 and GraphPad Prism 8.0 software.RESULTS A total of 175 patients with early gastric cancer were included,with 75.43%(n=132)males and 24.57%(n=43)females.38.29%(n=67)and 35.43%(n=62)of patients had a history of smoking and alcohol consumption,respectively.Comorbidities included diabetes(8.57%,n=15),coronary heart disease(10.29%,n=18),and hypertension(43.43%,n=76),which was highly prevalent.A history of abdominal surgery and family history of digestive system cancer accounted for 21.14%and 17.14%,respectively.The most common lesion location was the antral part of the stomach(52.00%,n=91),followed by the gastric angle,body,and fundus.The pathological types were predominantly high-grade intraepithelial neoplasia(28.00%,n=49)and well-differentiated adenocarcinoma(26.86%,n=47),followed by moderately differentiated adenocarcinoma,high-moderately differentiated adenocarcinoma,and moderate-lowly differentiated adenocarcinoma.89.14%of the patients had intestinal metaplasia and 85.14%had atrophy.After endoscopic resection,re-examination revealed that 13 patients had cancer cells at the tissue margin,with a positive margin rate of 7.43%.Postoperative complications included no cases of gastrointestinal obstruction,but incisional infection(2.86%,n=5),gastric perforation(1.14%,n=2),and gastric bleeding(4%,n=7)were present,with an overall incidence of 8.00%.CONCLUSION Analysis of the clinical characteristics indicated that early gastric cancer is more prevalent in males with a history of hypertension,with lesions most commonly occurring in the antral region of the stomach.The pathological types are often high-grade intraepithelial neoplasia and well-differentiated adenocarcinoma,with over 85%of patients having comorbid intestinal metaplasia and atrophy.Despite endoscopic resection,a positive margin rate persisted,indicating a probability of residual cancer at the margins.Postoperative complications,such as gastrointestinal obstruction,incisional infection,gastric perforation,and gastric bleeding can occur and require timely symptomatic treatment.

Biological Characteristics of the Pathogen Phyllosticta capitalensis Causing Banana Freckle Disease in Hainan Province

[Objectives]This study was conducted to clarify the biological characteristics of the pathogen Phyllosticta capitalensis,the causal agent of freckle disease on Cavendish banana in Hainan Province,China.[Methods]The impact of various nutritional and environmental factors,including media,carbon sources,nitrogen sources,temperature,pH and light on the growth and sporulation of P.capitalensis was assessed using two distinct methods:mycelium growth rate and blood counting chamber.[Results]The mycelial growth and sporulation of P.capitalensis on different media exhibited notable differences.The use of banana leaf extract dextrose agar(BLEAD)and carrot agar(CA)was observed to facilitate rapid mycelial growth.The potato dextrose agar(PDA)and potato sucrose agar(PSA)were conducive to the production of conidia.The utilization of distinct carbon and nitrogen sources exerted a pronounced influence on the growth of P.capitalensis.Maltose,dextrose,fructose,and casein acid hydrolysate were the preferred substrates for mycelial growth.The tested carbon and nitrogen sources did not significantly stimulate conidial production,whereas dextrose and NaNO 3 were found to favor sporulation.The optimal temperature for mycelial growth and conidial production was determined to be 28 and 32℃,respectively.No mycelial growth was observed at 5℃.Active mycelial growth was observed at pH 6-10,with pH 6-7 being particularly conducive to sporulation.Complete darkness was conducive to mycelial growth and sporulation.[Conclusions]It is recommended that BLEDA and PDA should be incubated at 28℃for 14 d in the dark for the purpose of mycelial growth and sporulation of P.capitalensis,respectively.

Research on Risk Assessment Method of Long-Tube Trailer Road Transportation

Road transport safety has always been paid attention to by the safety production managers of enterprises. In this study, cloud model and analytic hierarchy process were applied to the safety of long-tube trailer transport. The opinions of 30 experts were analyzed, from which 29 key parameters were selected. The study addressed the relevance of the parameters and the possibility of automatic collection and transmission to obtain 12 core risk factors. The macro-safety risk indicator system for long-tube trailers was established based on the identified risk indicators. Finally, a risk assessment model for road transport of long tube trailers consisting of 3 dimensions of likelihood, severity and sensitivity was constructed. This model provides a technical method for strengthening the risk control of road transport of long-tube trailers.

Impact of cirrhosis-related complications on posttransplant survival in patients with acute-on-chronic liver failure

Background:Acute-on-chronic liver failure(ACLF)is a life-threatening syndrome defined as acute decompensation in patients with chronic liver disease.Liver transplantation(LT)is the most effective treatment.We aimed to assess the impact of cirrhosis-related complications pre-LT on the posttransplant prognosis of patients with ACLF.Methods:This was an observational cohort study conducted between January 2018 and December 2020.Clinical characteristics,cirrhosis-related complications at LT and patient survival post-LT were collected.All liver recipients with ACLF were followed for 1 year post-LT.Results:A total of 212 LT recipients with ACLF were enrolled,including 75(35.4%)patients with ACLF-1,64(30.2%)with ACLF-2,and 73(34.4%)with ACLF-3.The median waiting time for LT was 11(4-24)days.The most prevalent cirrhosis-related complication was ascites(78.8%),followed by hepatic encephalopathy(57.1%),bacterial infections(48.1%),hepatorenal syndrome(22.2%)and gastrointestinal bleeding(11.3%).Survival analyses showed that patients with complications at LT had a significantly lower survival probability at both 3 months and 1 year after LT than those without complications(all P<0.05).A simplified model was developed by assigning one point to each complication:transplantation for ACLF with cirrhosis-related complication(TACC)model.Risk stratification of TACC model identified 3 strata(≥4,=3,and≤2)with high,median and low risk of death after LT(P<0.001).Moreover,the TACC model showed a comparable ability for predicting the outcome post-LT to the other four prognostic models(chronic liver failure-consortium ACLF score,Chinese Group on the Study of Severe Hepatitis B-ACLF score,model for end-stage liver disease score and Child-Turcotte-Pugh score).Conclusions:The presence of cirrhosis-related complications pre-LT increases the risk of death post-LT in patients with ACLF.The TACC model based on the number of cirrhosis-related complications pre-LT could stratify posttransplant survival,which might help to determine transplant timing for ACLF.

血清N-聚糖生物标志物诊断ALT水平正常慢性乙型肝炎患者显著肝纤维化和肝硬化的临床意义

本研究目的是探讨血清N-聚糖模型在285例丙氨酸转移酶(alanine aminotransferase,ALT)水平正常(<40 U·L^(-1))的慢性乙型肝炎(慢性乙肝)患者中诊断显著肝纤维化和肝硬化的临床意义。入组患者均进行肝组织活检,并使用Ishak评分系统评估患者肝组织纤维化程度。应用基于DNA测序仪的荧光糖电泳技术检测患者血清N-聚糖图谱,每例患者的血清样本中共鉴定出9个N-聚糖峰。利用机器学习算法,即随机森林(random forest,RF)构建更理想的血清N-聚糖模型,以诊断显著肝纤维化(≥F3)和肝硬化(≥F5),并比较血清N-聚糖模型和其他纤维化标志物的诊断效能。肝组织活检结果显示,有显著肝纤维化和肝硬化患者分别占63.86%(182/285)和16.49%(47/285),有显著炎症患者为4.91%(14/285)。血清N-聚糖RF-A模型具有很好的诊断显著肝纤维化(≥F3)的效能,其受试者工作特征曲线下面积(area under receiver operating characteristic curve,AUROC)为0.94,与肝活检的符合率为90.45%。在诊断肝硬化(≥F5)时,血清N-聚糖RF-B模型的AUROC为0.97,与肝组织活检的符合率为88.94%。血清N-聚糖模型(RF-A和RF-B)的诊断效能优于肝硬度值测量(liver stiffness measurement,LSM)、基于4因子的纤维化指数(fibrosis index based on the four factors,FIB-4)和天冬氨酸转氨酶与血小板比率指数(aspartate aminotransferase-to-platelet ratio index,APRI)。在ALT水平正常的慢性乙肝患者中,血清N-聚糖模型可作为诊断显著肝纤维化或肝硬化的潜在生物标志物。

双排钢板桩围堰支护结构参数优化及稳定性验算

双排钢板桩围堰具有稳定性较好、止水性能强等优点,广泛应用于水利工程。为研究围堰支护结构的优化设计,以竺山湖隧道施工现场围堰为实例,在满足稳定性要求的前提下,对施工现场的双排土芯钢板桩围堰参数进行优化,利用三维数值模拟软件PLAXIS 3D建立施工现场的三维模型,分析钢板桩在不同水位、不同桩间距下的变形情况,并进行稳定性验算,进而得出最佳参数。结果表明:(1)随着围堰水位升高,钢板桩呈现中间“鼓肚”减小、顶部位移有所增大的变化特征;(2)为提高工程经济效益,建议桩间距减小至4.5 m,此时水平位移与桩间距6 m相近,“鼓肚”现象及钢拉杆所在高程的弯矩相应有所减小,稳定性满足要求。

双排土芯钢板桩围堰变形特性研究

为研究双排土芯钢板桩围堰变形特性,以竺山湖隧道围堰工程为背景,对施工现场进行数据监测,同时利用三维数值模拟软件PLAXIS 3D建立了施工现场的三维模型。通过数值模拟,研究不同施工阶段钢板桩的变形情况及内力分布情况,并与现场监测数据进行对比,以进一步分析单根钢板桩受力变形的特征。研究表明:围堰变形主要集中在钢拉杆和钢板桩与土交界处,呈现为中间凸出的复合变形特征;围堰受力集中于钢拉杆支撑处以及背水面钢板桩与土交界处,其中围堰背水面钢板桩的堰脚处弯矩最大;迎水面钢板桩位移较小且桩顶产生向围堰内侧的位移,背水面钢板桩位移较大;抽水工序对钢板桩变形及内力影响最为显著。

Image Semantic Segmentation for Autonomous Driving Based on Improved U-Net

Image semantic segmentation has become an essential part of autonomous driving.To further improve the generalization ability and the robustness of semantic segmentation algorithms,a lightweight algorithm network based on Squeeze-and-Excitation Attention Mechanism(SE)and Depthwise Separable Convolution(DSC)is designed.Meanwhile,Adam-GC,an Adam optimization algorithm based on Gradient Compression(GC),is proposed to improve the training speed,segmentation accuracy,generalization ability and stability of the algorithm network.To verify and compare the effectiveness of the algorithm network proposed in this paper,the trained networkmodel is used for experimental verification and comparative test on the Cityscapes semantic segmentation dataset.The validation and comparison results show that the overall segmentation results of the algorithmnetwork can achieve 78.02%MIoU on Cityscapes validation set,which is better than the basic algorithm network and the other latest semantic segmentation algorithms network.Besides meeting the stability and accuracy requirements,it has a particular significance for the development of image semantic segmentation.

Nucleus Pulposus Cells from Calcified Discs Promote the Degradation of the Extracellular Matrix through Upregulation of the GATA3 Expression

Objective Disc calcification is strongly associated with disc degeneration;however,the underlying mechanisms driving its pathogenesis are poorly understood.This study aimed to provide a gene expression profile of nucleus pulposus cells(NPCs)from calcified discs,and clarify the potential mechanism in disc degeneration.Methods Primary NPCs were isolated from calcified and control discs(CAL-NPC and CON-NPC),respectively.The proliferation and extracellular matrix(ECM)metabolism capacities of the cells were evaluated using MTT and Western blotting,respectively.RNA sequencing was used to identify differentially expressed genes(DEGs)in the CAL-NPCs.The biological functions of the DEGs were analyzed using the Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)databases.The transcription factor database and Cytoscape software were used to construct the transcription factor-DEGs regulatory network.The role of the verified transcription factor in NPC proliferation and ECM metabolism was also investigated.Results The CAL-NPCs exhibited a lower proliferation rate and higher ECM degradation capacity than the CON-NPCs.In total,375 DEGs were identified in the CAL-NPCs.The GO and KEGG analyses showed that the DEGs were primarily involved in the regulation of ribonuclease activity and NF-kappa B and p53 signaling pathways.GATA-binding protein 3(GATA3)with the highest verified levels was selected for further studies.Overexpression of GATA3 in the CON-NPCs significantly inhibited their proliferation and promoted their ECM degradation function,while the knockdown of GATA3 in the CAL-NPCs resulted in the opposite phenotypes.Conclusion This study provided a comprehensive gene expression profile of the NPCs from the calcified discs and supported that GATA3 could be a potential target for reversing calcification-associated disc degeneration.

Malignant melanoma of the prostate:Primary or metastasis?A case report

BACKGROUND Malignant melanoma of the prostate is rare.Twenty-five studies describing 45 cases have been reported.Prostate melanoma is characterized by an insidious onset and poor prognosis.The prognosis and treatment vary according to primary or secondary melanoma.CASE SUMMARY A 75-year-old man attended the hospital due to low back pain of 2 mo duration.He denied a history of trauma or abnormal urinary symptoms.Digital rectal examination showed indentation in the left lobe of the prostate,1 cm in diameter.His prostate-specific antigen was 5.6 ng/mL and 18F-fluorodeoxyglucose positron emission tomography computed tomography(18F-FDG-PET/CT)showed focal glucose metabolism in the left lobe.Imaging showed bone metastases to T12 and bilateral ribs.Transperineal prostate biopsy was done and three tissue specimens on the left side showed prostate adenocarcinoma(Gleason score 3+3=6),but the specimen on the right side showed malignant melanoma.The patient underwent T12 tumor resection and pathology findings indicated metastatic malignant melanoma.The patient underwent gastroscopy and colonoscopy,and gastroscopy revealed multiple mucosal black spots in the gastric body and fundus.The patient was diagnosed with secondary malignant prostate melanoma and primary gastric disease.CONCLUSION Diagnosis of primary prostate melanoma requires caution and 18F-FDG-PET/CT may result in false-negative detection of melanoma.

Molecular Characterization,Morphology and Pathogenicity of Curvularia pseudobrachyspora,A New Causal Agent of Leaf Spot on Banana

[Objectives]The paper was to study molecular characterization,morphology and pathogenicity of Curvularia pseudobrachyspora,a new causal agent of leaf spot on banana.[Methods]Banana(Musa acuminate)leaves with streaks or long ellipse-shaped lesions were sampled in an orchard of Danzhou City,Hainan Province,China in 2021.Fungus isolates were isolated from the diseased tissues and further identified as C.pseudobrachyspora based on morphological characteristics of colony,conidiophore and spore,phylogenetic analyses of the ITS region,GAPDH and TEF-1αgenes.[Results]In the pathogenicity test,the fungus re-isolated from inoculated leaves with necrotic lesions was identified morphologically and molecularly,fulfilling Koch's postulates.[Conclusions]C.pseudobrachyspora is a new pathogen causing leaf spot of banana in China and the world.

Morphological and Molecular Identification of Alternaria alternata Causing Leaf Spot Disease on Huangdi Banana in China

[Objectives]The paper was to identify Alternaria alternata causing leaf spot disease on Huangdi banana in China.[Methods]Fungal isolates were isolated and identified by morphological features,molecular identification and pathogenicity test.[Results]There were light to dark brown,tiny oval spots on leaves.The causal agent isolated from affected leaves was identified as A.alternata based on the morphological properties,coupled with sequence analyses of the internal transcribed spacer(ITS)region,large subunit ribosomal DNA(LSU rDNA)and the translation elongation factor 1-alpha(TEF-1α)gene.Koch s postulates were fulfilled by successful re-isolation of pathogen from the artificial inoculated leaves.[Conclusions]To our knowledge,this is the first report of leaf spot caused by A.alternata on Huangdi banana in China.The identification of A.alternata as the causal agent of the observed leaf spot disease on Huangdi banana is critical to the prevention and control of this disease in the future.

弹性体/聚丙烯与塑性体/聚丙烯复合材料的力学及介电性能

选用聚丙烯(PP)为基体树脂,分别以乙烯-辛烯共聚弹性体(POE)、丙烯-乙烯共聚塑性体(POP)为填料,制备出不同组分的POE/PP与POP/PP共混材料。对共混体系的力学性能研究表明,POP在降低PP弹性模量及增韧改性效果上均弱于同含量的POE/PP体系,但当POP质量分数增至40%时与POE质量分数为30%时的力学性能相仿;而电导电流及交、直流击穿等实验表明,POP较POE更大程度维持了纯PP的电性能;观测共混体系的微观形态发现POE在PP中的分散性较差,而共聚单体含量较少的POP对PP结晶规整度破坏较弱,相近分子结构呈现出与PP较好的相容性,是POP/PP体系电性能较优异的原因,具有潜在的工程应用价值。