Multi-agent reinforcement learning for edge information sharing in vehicular networks

To guarantee the heterogeneous delay requirements of the diverse vehicular services,it is necessary to design a full cooperative policy for both Vehicle to Infrastructure(V2I)and Vehicle to Vehicle(V2V)links.This paper investigates the reduction of the delay in edge information sharing for V2V links while satisfying the delay requirements of the V2I links.Specifically,a mean delay minimization problem and a maximum individual delay minimization problem are formulated to improve the global network performance and ensure the fairness of a single user,respectively.A multi-agent reinforcement learning framework is designed to solve these two problems,where a new reward function is proposed to evaluate the utilities of the two optimization objectives in a unified framework.Thereafter,a proximal policy optimization approach is proposed to enable each V2V user to learn its policy using the shared global network reward.The effectiveness of the proposed approach is finally validated by comparing the obtained results with those of the other baseline approaches through extensive simulation experiments.

Carbon coated ultrasmall anatase TiO_2 nanocrystal anchored on N,S-RGO as high-performance anode for sodium ion batteries

Anatase TiO_2 has been investigated as one of the most promising anode materials for sodium ion batteries(SIBs)with low cost and high theoretical capacity.Herein,a composite material of TiO_2 /N,S-RGO@C with carbon coated ultrasmall anatase TiO_2 anchored on nitrogen and sulfur co-doped RGO matrix was successfully prepared by a rational designed process.The composite structure exhibited ultrasmall crystal size,rich porous structure,homogeneous heteroatoms doping and thin carbon coating,which synergistically resulted in elevated electron and ion transfer.The anode exhibited high rate capacities with good reversibility under high rate cycling.The carbon coating was investigated to be effective to prevent active material falling and lead to long term cycling performance with a high capacity retention of 181 m Ah g^(à1)after 2000cycles at 2 C.Kinetic studies were carried out and the results revealed that the superior performance of the composite material were derived from the decreased charge transfer resistance and elevated ion diffusion.Results suggested that the TiO_2 /N,S-RGO@C composite is a promising anode material for sodium ion batteries.

基于桐油热处理的竹材理化性质研究

寻求绿色、可持续发展的改性方法来生产耐用竹材制品,是目前竹产业面临的挑战。本文将桐油热处理技术应用于竹材改性,探讨了桐油热处理过程中桐油在竹材中的渗透行为和分布,研究了桐油与热处理的协同作用对竹材化学性质、物理性质、力学性质的影响以及相互作用机制。结果表明,桐油热处理不仅可以增强竹材的疏水性能和尺寸稳定性,改善竹材的防霉性能,而且竹材可以保持其良好的力学性能。与未处理竹材相比,200℃桐油热处理后竹材的饱水膨胀率从3.17%下降至2.42%,200℃桐油热处理后竹材径切面的接触角在300 s时仍可保持在100°以上。桐油热处理后竹材性能的改善归因于竹材化学成分的变化、纤维结晶度的增加、竹材外表面和细胞腔内表面油膜的形成。因此,桐油热处技术在竹材工业改性中具有良好的发展前景。

CTRR-ncRNA:A Knowledgebase for Cancer Therapy Resistance and Recurrence Associated Non-coding RNAs

Cancer therapy resistance and recurrence(CTRR)are the dominant causes of death in cancer patients.Recent studies have indicated that non-coding RNAs(ncRNAs)can not only reverse the resistance to cancer therapy but also are crucial biomarkers for the evaluation and prediction of CTRR.Herein,we developed CTRR-ncRNA,a knowledgebase of CTRR-associated ncRNAs,aiming to provide an accurate and comprehensive resource for research involving the association between CTRR and ncRNAs.Compared to most of the existing cancer databases,CTRRncRNA is focused on the clinical characterization of cancers,including cancer subtypes,as well as survival outcomes and responses to personalized therapy of cancer patients.Information pertaining to biomarker ncRNAs has also been documented for the development of personalized CTRR prediction.A user-friendly interface and several functional modules have been incorporated into the database.Based on the preliminary analysis of genotype-phenotype relationships,universal ncRNAs have been found to be potential biomarkers for CTRR.The CTRR-ncRNA is a translation-oriented knowledgebase and it provides a valuable resource for mechanistic investigations and explainable artificial intelligence-based modeling.

Spherical contact mechanical analysis of roller cone drill bits journal bearing

Fang contact model is introduced to analyze stress of the spherical fixed ring journal bearing.Developed calculation programs in the MATLAB software which are utilized to calculate the contact characteristics of roller cone drill bits spherical fixed ring journal bearing.In addition,effects of external load,radius clearance values,and material parameter on the mechanics performance were investigated.The results show that the value of external load has a direct pronounced effect on the contact characteristics of journal bearing.There is a significant positive correlation between contact pressure and external load,radius clearance value,and the Young's modulus of material.However,there is an evident negative correlation between contact radius of journal bearing and radius clearance value,and the Young's modulus of material.The smaller radius clearance value of journal bearing is,the more centralized contact region will be,so the corresponding contact pressure will be higher.From the perspective of reducing friction and wear,we need select the materials which have high strength and good toughness.Not only might this can improve the wear resistance,it also effectively decreases the contact pressure.In this case,we can prolong the service life of roller cone drill bits journal bearing.