Piezoresistive behavior of elastomer composites with segregated network of carbon nanostructures and alumina

Electrically conductive elastomer composites(CECs)with segregated networks of conductive nanofillers show high potential in stretchable strain sensors due to balanced mechanical and electrical properties,yet the sensitivity at low strain is generally insufficient for practical application.Herein,we report an easy and effective way to improve the resistive response to low strain for CECs with segregated network structure via adding stiff alumina into carbon nanostructures(CNS).The CEC containing 0.7 wt%CNS and 5 wt%Al_(2)O_(3) almost sustains the same elasticity(elongation at break of~900%)and conductivity(0.8 S/m)as the control,while the piezoresistive sensitivity is significantly improved.Thermoplastic polyurethane(TPU)composites with a segregated network of hybrid nanofillers(CNS and Al_(2)O_(3))show much higher strain sensitivity(Gauge factor,GF-566)at low strain(45%strain)due to a local stress concentration effect,this sensitivity is superior to that of TPU/CNS composites(GF-11).Such a local stress concentration effect depends on alumina content and its distribution at the TPU particle interface.In addition,CECs with hybrid fillers show better reproducibility in cyclic piezoresistive behavior testing than the control.This work offers an easy method for fabricating CECs with a segregated filler network offering stretchable strain sensors with a high strain sensitivity.

VKFQ:A Verifiable Keyword Frequency Query Framework with Local Differential Privacy in Blockchain

With its untameable and traceable properties,blockchain technology has been widely used in the field of data sharing.How to preserve individual privacy while enabling efficient data queries is one of the primary issues with secure data sharing.In this paper,we study verifiable keyword frequency(KF)queries with local differential privacy in blockchain.Both the numerical and the keyword attributes are present in data objects;the latter are sensitive and require privacy protection.However,prior studies in blockchain have the problem of trilemma in privacy protection and are unable to handle KF queries.We propose an efficient framework that protects data owners’privacy on keyword attributes while enabling quick and verifiable query processing for KF queries.The framework computes an estimate of a keyword’s frequency and is efficient in query time and verification object(VO)size.A utility-optimized local differential privacy technique is used for privacy protection.The data owner adds noise locally into data based on local differential privacy so that the attacker cannot infer the owner of the keywords while keeping the difference in the probability distribution of the KF within the privacy budget.We propose the VB-cm tree as the authenticated data structure(ADS).The VB-cm tree combines the Verkle tree and the Count-Min sketch(CM-sketch)to lower the VO size and query time.The VB-cm tree uses the vector commitment to verify the query results.The fixed-size CM-sketch,which summarizes the frequency of multiple keywords,is used to estimate the KF via hashing operations.We conduct an extensive evaluation of the proposed framework.The experimental results show that compared to theMerkle B+tree,the query time is reduced by 52.38%,and the VO size is reduced by more than one order of magnitude.

越江泥水平衡盾构仓内水平冻结温度场研究

人工冻结技术可以短期提升地层稳定性并隔绝地下水,是在江底构建临时盾构检修环境的有效方法,而已有研究成果尚无法对冻结施工过程的评价提供参考。依托南京市新济洲越江供水廊道工程,研究了盾构泥水仓内形成冻土过程中温度分布特征及影响规律。结果表明:通过盾构工作面的接力换热装置,可将地面低温盐水以较小循环压力输入冻结管,从而降低冻结管内盐水渗漏风险,在稳定冻结阶段工作面盐水温度较地面温度偏高约2.5℃;施工过程中冻结管端头温度的变化过程基本一致,但受到冻结管周围地层吸热能力差别的影响,间距较大位置的冻结管端头温度偏高约1℃;盾构结构钢材导热性能和散热系数的差别会影响冷量传递过程,造成盾构刀盘周围位置的冻土温度偏低3℃左右,而盾构面板的散热导致相应位置的冻土温度偏高约4℃;在水平冻结管最大布置间距3.12 m的条件下,冻结80 d时可将盾构泥水仓全部冻实,从而具备打开盾构泥水仓进行盾构应急检修的施工条件。

交联乙烯-醋酸乙烯酯共聚物/聚多巴胺复合材料的制备及光驱动形状记忆效应

通过熔融共混制备得到交联乙烯-醋酸乙烯酯共聚物(CEVA)/聚多巴胺(PDA)复合材料,研究了交联程度对乙烯-醋酸乙烯酯共聚物(EVA)形状记忆性能的影响,以及引入PDA纳米微球在基体中的光热效果。动态热机械分析表明,交联度的提高有助于减小塑性流动,从而使材料具有更稳定的形状记忆效应。PDA(质量分数0.8%)的引入赋予了CE-VA良好的光热性能,在0.546W/cm^(2)的近红外光下照射18s,温度可以由室温上升到106℃。在近红外光开启和关闭时,由于PDA光热特性致使CEVA晶区形态发生可逆变化,从而形成了近红外光触发的可逆双向形状记忆效应。

Dynamic metabolite QTL analyses provide novel biochemical insights into kernel development and nutritional quality improvement in common wheat

Despite recent advances in crop metabolomics,the genetic control and molecular basis of the wheat kernel metabolome at different developmental stages remain largely unknown.Here,we performed widely tar-geted metabolite profiling of kernels from three developmental stages(grain-filling kernels[FKs],mature kernels[MKs],and germinating kernels[GKs])using a population of 159 recombinant inbred lines.We de-tected 625 annotated metabolites and mapped 3173,3143,and 2644 metabolite quantitative trait loci(mQTLs)in FKs,MKs,and GKs,respectively.Only 52 mQTLs were mapped at all three stages,indicating the high stage specificity of the wheat kernel metabolome.Four candidate genes were functionally vali-dated by in vitro enzymatic reactions and/or transgenic approaches in wheat,three of which mediated the tricin metabolic pathway.Metaboliteflux efficiencies within the tricin pathway were evaluated,and su-perior candidate haplotypes were identified,comprehensively delineating the tricin metabolism pathway in wheat.Finally,additional wheat metabolic pathways were re-constructed by updating them to incorporate the 177 candidate genes identified in this study.Our work provides new information on variations in the wheat kernel metabolome and important molecular resources for improvement of wheat nutritional quality.

Scalable and Heavy Foam Functionalization by Electrode-Inspired Sticky Jammed Fluids for Efficient Indoor Air-Quality Management

Functionalization of polymer foams by surface coating is of great interest for advanced flow-interactive materials working with well-controlled 3D open channels.However,realizing heavy functional coating via a fast and recyclable way remains a big challenge.Here,inspired by the battery electrodes,we propose a scalable mechanic-assisted heavy coating strategy based on the design of sticky jammed fluid(SJF)to conquer the above challenge.Similar to the electrode slurry,the SJF is dominated by a high concentration of active material(≥20 wt%of active carbon,for instance)uniformly dispersed in a protein binder solution.Due to the sticky and solidrich nature of the SJF,one can realize a high coating efficiency of 60 wt%gain per coating.The critical factors controlling the coating processing and quality are further identified and discussed.Furthermore,the functionalized foam is demonstrated as a high-performance shape-customizable toxic gas remover,which can absorb formaldehyde very efficiently at different circumstances,including static adsorption,flow-based filtration,and source interception.Finally,the foam skeleton and the active materials are easily recycled by a facile solvent treatment.This study may inspire new scalable way for fast,heavy,and customizable functionalization of polymeric foams.

Constructing the metabolic network of wheat kernels based on structure-guided chemical modification and multi-omics data

Metabolic network construction plays a pivotal role in unraveling the regulatory mechanism of biological activities,although it often proves to be challenging and labor-intensive,particularly with non-model organisms.In this study,we develop a computational approach that employs reaction models based on the structure-guided chemical modification and related compounds to construct a metabolic network in wheat.This construction results in a comprehensive structure-guided network,including 625 identified metabolites and additional 333 putative reactions compared with the Kyoto Encyclopedia of Genes and Genomes database.Using a combination of gene annotation,reaction classification,structure similarity,and correlations from transcriptome and metabolome analysis,a total of 229 potential genes related to these reactions are identified within this network.To validate the network,the functionality of a hydroxycinnamoyltransferase(TraesCS3D01G314900)for the synthesis of polyphenols and a rhamnosyltransferase(TraesCS2D01G078700)for the modification of flavonoids are verified through in vitro enzymatic studies and wheat mutant tests,respectively.Our research thus supports the utility of structure-guided chemical modification as an effective tool in identifying causal candidate genes for constructing metabolic networks and further in metabolomic genetic studies.

基于塔式池化架构的采掘工作面煤岩图像识别方法

煤岩识别技术是实现开采、掘进智能化和无人化的关键技术之一。为提高煤岩图像识别技术的精度和效率,提出了一种基于塔式池化架构和卷积神经网络技术的煤岩图像分割识别网络模型(Coal-Rock Pyramid Network, CRPN):(1) CRPN模型在图像编码部分采用了深度可分离卷积,使用了混合空洞卷积技术和嵌入全局注意力机制的残差卷积模块,在提高计算效率的同时扩大模型的感受野,并降低了全局无关特性对后续特征图的不利影响。CRPN模型在图像解码部分采用了基于空间塔式池化架构的计算框架,弱化了特征图内部不同区域之间关联信息的损失,显著增强了对全局信息的有效表征。(2)为保证模型训练的有效性,使用高感光度井下防爆相机对煤矿井下薄煤层采煤工作面原位煤岩图像进行了信息采集,包括完整状态、含有裂隙和阴影、暗光条件、暗光且有支护遮挡等4类典型条件下的煤岩分布图像。通过噪声添加、改变图像的特征和形态等数据预处理方法,建立了含有6 400个有效样本的煤岩高清图像数据库。(3)提出了基于交叉熵损失函数和修正自适应矩估计的训练优化算法,兼顾了模型的训练效率和精度。(4)选择像素准确度和交并比指标对CRPN模型的识别效果进行评估,结果表明CRPN模型的2项指标平均值分别为96.05%和91.54%,优于U-net模型和Segnet模型等现有其他煤岩图像识别方法。CRPN模型单张图像计算时间平均值为0.037 s,高于井下防爆摄像设备25 fps的成像能力,具备现场应用部署条件。将CRPN模型部署在工作面现场获取的动态视频中进行测试,测试结果表明该模型在稳定和抖动条件下均取得了良好的煤岩识别效果,验证了该技术在复杂环境中的可行性、鲁棒性。

还原氧化石墨烯改性少层剥离石墨增强石墨基钾离子电池负极稳定性

钾在石墨中嵌入电位较低,因此石墨负极可使钾离子电池具有较高的能量密度,是一种理想的钾离子电池负极材料。然而,石墨嵌钾后的体积膨胀率高达60%,导致钾离子电池的循环稳定性较差。此外,钾嵌入石墨层间的动力学过程缓慢,制约了钾离子电池倍率性能的提升。在本工作中,我们用还原氧化石墨烯(rGO)包覆剥离石墨(EG),得到一种具有协同效应的层状复合材料。一方面,以少层的EG代替石墨可以减少由于钾的嵌入/脱嵌所引起的体积膨胀和内部应力;另一方面,外层rGO可以避免EG的堆叠,这有利于加速动力学过程并在钾化/去钾化过程中稳定结构。当复合材料所用EG和GO的质量比为1:1时,其性能达到最优,在50 mA·g^(-1)的电流密度下能够提供443 mAh·g^(-1)的比容量;在电流密度为800 mA·g^(-1)时,比容量为190 mAh·g^(-1),保持率为42.9%。相同测试条件下,纯EG和rGO的容量保持率仅为14.2%和27.2%。测试结果说明EG-1/rGO-1复合材料在比容量和倍率性能两个方面得到了提升。

Apparent diffusion coefficient evaluation for secondary changes in the cerebellum of rats after middle cerebral artery occlusion

Supratentorial cerebral infarction can cause functional inhibition of remote regions such as the cerebellum, which may be relevant to diaschisis. This phenomenon is often analyzed using positron emission tomography and single photon emission CT. However, these methods are expensive and radioactive. Thus, the present study quantified the changes of infarction core and remote regions after unilateral middle cerebral artery occlusion using apparent diffusion coefficient values. Diffu- sion-weighted imaging showed that the area of infarction core gradually increased to involve the cerebral cortex with increasing infarction time. Diffusion weighted imaging signals were initially in- creased and then stabilized by 24 hours. With increasing infarction time, the apparent diffusion co- efficient value in the infarction core and remote bilateral cerebellum both gradually decreased, and then slightly increased 3-24 hours after infarction. Apparent diffusion coefficient values at remote regions （cerebellum） varied along with the change of supratentorial infarction core, suggesting that the phenomenon of diaschisis existed at the remote regions. Thus, apparent diffusion coefficient values and diffusion weighted imaging can be used to detect early diaschisis.

Aberrant DNA methyltransferase 1 expression in clear cell renal cell carcinoma development and progression

Objective： To better understand the contribution of dysregulated DNA methyltransferase 1 （DNMT1） expression to the progression and biology of clear cell renal cell carcinoma （ccRCC）. Methods： We examined the differences in the expression of DNMT1 in 89 ecRCC and 22 normal tissue samples by immunohistochemistry. In addition, changes in cell viability, apoptosis, colony formation and invading ability of ccRCC cell lines （786-0 and Caki-1） were assessed after transfection with DNMT1 siRNA. Results： We found DNMT1 protein was significantly higher expressed in ccRCC than that of in no-tumor tissues （56.2% and 27.3%, respectively, P=0.018）. The expression of DNMT1 was strongly associated with ccRCC tumor size, tumor pathology stage, histological grading, lymph node metastasis, vascular invasion, recurrence and prognosis. Moreover, knockdown of DNMT1 expression significantly inhibited ccRCC cell viability, induced apoptosis, decreased colony formation and invading ability. Conclusions： Expression of DNMTI protein is increased in ccRCC tissues, and DNMT1 expression is associated with poor prognosis of patients. Experiments in vitro further showed DNMT1 played an essential role in proliferation and invasion of renal cancer cells. Moreover, targeting this enzyme could be a promising strategy for treating ccRCC, as evidenced by inhibited cell viability, increased apoptosis, decreased colony formation and invading ability.

Successful treatment of pyogenic ventriculitis caused by extensively drug-resistant Acinetobacter baumannii with multi-route tigecycline: A case report

BACKGROUND Pyogenic ventriculitis caused by extensively drug-resistant Acinetobacter baumannii(A.baumannii)is one of the most severe complications associated with craniotomy.However,limited therapeutic options exist for the treatment of A.baumannii ventriculitis due to the poor penetration rate of most antibiotics through the blood-brain barrier.CASE SUMMARY A 68-year-old male patient with severe traumatic brain injury developed pyogenic ventriculitis on postoperative day 24 caused by extensively drug-resistant A.baumannii susceptible to tigecycline only.Successful treatment was accomplished through multi-route administration of tigecycline,including intravenous combined with continuous ventricular irrigation plus intraventricular administration.The pus was cleared on the 3rd day post-irrigation,and cerebrospinal fluid cultures were negative after 12 d.CONCLUSION Our findings suggest that multi-route administration of tigecycline can be a therapeutic option against pyogenic ventriculitis caused by extensively drugresistant A.baumannii.

An elasto-plastic and viscoplastic damage constitutive model for dilatancy and fracturing behavior of soft rock squeezing deformation

Soft rock squeezing deformation mainly consists of pre-peak damage-dilatancy and post-peak fracture-bulking at the excavation unloading instant,and creep-dilatancy caused by time-dependent damage and fracturing.Based on the classic elastoplastic and Perzyna over-stress viscoplastic theories,as well as triaxial unloading confining pressure test and triaxial unloading creep test results,an elastoplastic and viscoplastic damage constitutive model is established for the short-and long-term dilatancy and fracturing behavior of soft rock squeezing deformation.Firstly,the criteria for each deformation and failure stage are expressed as a linear function of confining pressure.Secondly,the total damage evolution equation considering time-dependent damage is proposed,including the initial damage produced at the excavation instant,in which the damage variable increases exponentially with the lateral strain,and creep damage.Thirdly,a transient five-stages elasto-plastic constitutive equation for the short-term deformation after excavation that comprised of elasticity,pre-peak damage-dilatancy,post-peak brittle-drop,linear strain-softening,and residual perfectly-plastic regimes is developed based on incremental elasto-plastic theory and the nonassociated flow rule.Fourthly,regarding the timedependent properties of soft rock,based on the Perzyna viscoplastic over-stress theory,a viscoplastic damage model is set up to capture creep damage and dilatancy behavior.Viscoplastic strain is produced when the stress exceeds the initial static yield surface fs;the distance between the static yield surface fs and the dynamic yield surface fd determines the viscoplastic strain rate.Finally,the established constitutive model is numerically implemented and field applied to the-848 m belt conveyer haulage roadway of Huainan Panyidong Coal Mine.Laboratory test results and in-situ monitoring results validate the rationality of the established constitutive model.The presented model takes both the transient and time-dependent damage and fracturing into consideration.

Carbon‑Based Electrodes for Advanced Zinc‑Air Batteries:Oxygen‑Catalytic Site Regulation and Nanostructure Design

Zn-air batteries are highly attractive for direct chemical-to-electrical energy conversion and for solving the energy crisis and environmental problems.Designing efficient oxygen electrodes has been considered one of the most critical steps in the development of advanced Zn-air batteries because of the sluggish kinetics of the oxygen reduction reaction and the oxygen evolution reaction.In recent years,nanostructured carbon-based electrodes with large surface areas,efficient oxygen-catalytic centers,and hierarchically porous matrices have provided significant opportunities to optimize the performance of the oxygen electrodes in both primary and rechargeable Zn-air batteries.In this review,we provide a comprehensive summary of the reported nanostructured carbon-based electrodes for advanced Zn-air batteries in terms of tailoring the oxygen-catalytic sites and designing carbon supports.The versatile synthetic strategies,characterization methods,and in-depth understanding of the relationships between the oxygen-catalytic sites/nanostructures and the oxygen electrode performance are systematically summarized.Furthermore,we also briefly outline recent progress in engineering flexible and high-power Zn-air batteries.Ultimately,a thorough discussion of current primary challenges and future perspectives on the rational design of nanostructured carbon-based oxygen electrodes is given,thus providing inspiration for the future prosperity of fast-kinetic and efficient Zn-air batteries in a broad range of energy fields.

Computed tomography perfusion imaging evaluation of angiogenesis in patients with pancreatic adenocarcinoma

BACKGROUND Pancreatic adenocarcinoma is one of the most common malignant tumors of the digestive system.More than 80%of patients with pancreatic adenocarcinoma are not diagnosed until late stage and have distant or local metastases.AIM To investigate the value of computed tomography(CT)perfusion imaging in the evaluation of angiogenesis in pancreatic adenocarcinoma patients.METHODS This is a retrospective cohort study.Patients with pancreatic adenocarcinoma and volunteers without pancreatic diseases underwent CT perfusion imaging from December 2014 to August 2017 in Huashan Hospital,Fudan University Shanghai,China.RESULTS A total number of 35 pancreatic adenocarcinoma patients and 33 volunteers were enrolled.The relative blood flow(r BF),and relative blood volume(r BV)were significantly lower in patients with pancreatic adenocarcinoma than in the control group(P<0.05).Conversely,the relative permeability in patients with pancreatic adenocarcinoma was significantly higher than that in controls(P<0.05).In addition,r BF,r BV,and the vascular maturity index(VMI)were significantly lower in gradeⅢ-Ⅳpancreatic adenocarcinoma than in gradeⅠ-Ⅱpancreatic adenocarcinoma(P<0.05).Vascular endothelial growth factor(VEGF),CD105-MVD,CD34-MVD,and angiogenesis rate(AR)were significantly higher in gradeⅢ-Ⅳpancreatic adenocarcinoma than in gradeⅠ-Ⅱpancreatic adenocarcinoma(P<0.05).Significant correlations between r BF and VEGF,CD105-MVD,AR,and VMI(P<0.01)were observed.Moreover,the levels of r BV were statistically significantly correlated with those of VEGF,CD105-MVD,CD34-MVD,and VMI(P<0.01).CONCLUSION Perfusion CT imaging may be an appropriate approach for quantitative assessment of tumor angiogenesis in pancreatic adenocarcinoma.

De novo brain arteriovenous malformation formation and development:A case report

BACKGROUND Brain arteriovenous malformation(AVM),an aberrant vascular development during the intrauterine period,is traditionally considered a congenital disease.Sporadic reports of cases of de novo AVM formation in children and adults have challenged the traditional view of its congenital origin.CASE SUMMARY In this report,we have presented the case of a child with a de novo brain AVM.Magnetic resonance imaging and magnetic resonance angiography of the brain showed no AVM at the age of 5 years and 2 mo.Brain AVM was first detected in this child at the age of 7 years and 4 mo.The brain AVM was significantly advanced,and hemorrhage was seen for the first time at the age of 12 years and 8 mo.There was further progression in the AVM,and hemorrhage occurred again at the age of 13 years and 5 mo.Genetic analysis of this patient revealed a mutation in the NOTCH2(p.Asp473 Val)gene.CONCLUSION In short,our case has once again confirmed the view that brain AVM is an acquired disease and is the result of the interaction of genes,environment,and molecules.

An injectable signal-amplifying device elicits a specific immune response against malignant glioblastoma

Despite exciting achievements with some malignancies,immunotherapy for hypoimmunogenic cancers,especially glioblastoma(GBM),remains a formidable clinical challenge.Poor immunogenicity and deficient immune infiltrates are two major limitations to an effective cancer-specific immune response.Herein,we propose that an injectable signal-amplifying nanocomposite/hydrogel system consisting of granulocyte-macrophage colony-stimulating factor and imiquimod-loaded antigen-capturing nanoparticles can simultaneously amplify the chemotactic signal of antigen-presenting cells and the"danger"signal of GBM.We demonstrated the feasibility of this strategy in two scenarios of GBM.In the first scenario,we showed that this simultaneous amplification system,in conjunction with local chemotherapy,enhanced both the immunogenicity and immune infiltrates in a recurrent GBM model;thus,ultimately making a cold GBM hot and suppressing postoperative relapse.Encouraged by excellent efficacy,we further exploited this signal-amplifying system to improve the efficiency of vaccine lysate in the treatment of refractory multiple GBM,a disease with limited clinical treatment options.In general,this biomaterial-based immune signal amplification system represents a unique approach to restore GBM-specific immunity and may provide a beneficial preliminary treatment for other clinically refractorymalignancies.

Gadolinium-based contrast agents built of DO3A-pyridine scaffold:Precisely tuning carboxylate group for enhanced magnetic resonance imaging

It is greatly desired to develop novel gadolinium-based contrast agents(GBCAs)as improved platforms for magnetic resonance imaging(MRI).Herein,we report the syntheses of a series of nonionic cyclenbased GBCAs by precisely tuning carboxylate group on DO3A-pyridine scaffold.[Gd-DO3A-4cp]is isolated which adopts an octadentate coordination mode with a free carboxylate group at 4-position of pyridine.It shows the r_(1)relaxivity of 5.8(mmol/L)^(-1)s^(-1)(3 T,25℃),which is 75%higher than 3.3(mmol/L)^(-1)s^(-1)of the clinic used[Gd-DOTA].The possible mechanisms behind the enhanced relaxivity are investigated and proposed by structure-property relationship studies.After validation of low cytotoxicity and considerable kinetic inertness,in-vivo studies are further examined,demonstrating its good MRI performance,biodistribution as well as the way of excretion.

Strengthening synergistic effects between hard carbon and soft carbon enabled by connecting precursors at molecular level towards high-performance potassium ion batteries

Synergistic effects between hard carbons and soft carbons are proven to be helpful for improving the electrochemical performance of carbonaceous anode for potassium-ion batteries(PIBs).However,the phase separation of precursors limits the synergistic effects and improvement of electrochemical performance.Here,inspired by the esterification reaction,the precursors of two sorts of carbon are connected at the molecular level,which boosts the synergistic effects in hybrid carbon,resulting in excellent electrochemical kinetics and low charge/discharge voltage.Consequently,the hybrid carbon anode exhibited a high specific capacity of 121 mAh·g^(−1)at 3.2 A·g^(−1),a high-rate capability,and stable cycling performance.After 500 cycles at 1 A·g^(−1),the average capacity fading is only 0.078%per cycle.

应用元启发式优化和高斯过程回归预测受电弓-接触网系统性能的可行性研究

受电弓接触网系统为高速列车提供电能,正确评估受电弓与接触网之间的接触力(CF)对于稳定供电至关重要.CF的大小和变化范围决定了列车受流质量和安全运行.因此,快速、准确地预测CF具有重要意义.然而,通过实验收集CF数据具有挑战性,并且通过数值模拟获得及时结果并不总是可行的.在本研究中,我们提出了一种结合元启发式优化和高斯过程回归的高效的代理模型方法,来预测受电弓接触网系统接触力统计量。首先,使用有限元法(FEM)建立并验证受电弓接触网模型,用于生成训练和测试数据集.其次,利用高斯过程回归(GPR)进行对接触力的预测.将一种新开发的元启发式优化,即二元饥饿游戏搜索(HGS),应用于特征选择.为了增强BHGS的性能,嵌入了混沌机制,产生了ChaOs-HGSGPR(CHGS-GPR).最后,对CHGS-GPR的预测结果进行了评估.结果发现,所提出的CHGS-GPR对CF的平均值提供了相当准确的预测,并且可以扩展到铁路线路的初步设计、列车运行的实时评估和控制.