To solve the problem of leakage in operation process hydraulic structures, this paper conducts a cause-effect analysis based on DEMATEL-ISM method. Firstly, factor system causing structures is established through literature and expert interview methods. Then, laboratory decision-making method (DEMATEL) used to construct matrix analyze influence importance causal factors structure leakage. The centrality index rank factors. Finally, interpretive structural model (ISM) hierarchically divide...

Abstract SiC f /Ti 3 2 composites were fabricated by hot isostatic pressing using Ti powder and as starting materials at 1200°C for h. A maximum flexural strength of 498 MPa a fracture toughness 6.76 MPa·m 1/2 achieved composite with 5 vol% the microhardness reached 1068 HV 1 25 . are thermodynamically stable according to Ti–Si–C phase diagram. However, microstructure analysis showed that was distributed uniformly in matrix an interfacial layer composed TiC SiC. Elemental Al agglomeration...

To ensure the user experience of mobile systems, foreground application can be differentiated to minimize impact background applications. However, this article observes that system services in kernel and framework layer, instead applications, are now major resource competitors. Specifically, these service tasks tend quiet when people rarely interact with active interactions become frequent, high overlap busy times leads contention for resources. This proposes iAware, an interaction-aware...

Abstract Background: As one of the most common post-transcriptional modifications (PTCM) in RNA, 5-cytosine-methylation plays important roles many biological functions such as RNA metabolism and cell fate decision. Through accurate identification 5-methylcytosine (m5C) sites on researchers can better understand exact role these functions. In recent years, computational methods predicting m5C have attracted lots interests because its efficiency low-cost. However, both accuracy are not...

The surge in intelligent edge computing has propelled the adoption and expansion of distributed embedded systems (DESs). Numerous scheduling strategies are introduced to improve DES throughput, such as latency-aware group-based hierarchical scheduling. Effective device modeling can help modular plug-in scheduler design. For uniformity interfaces, an unified performance is adopted, typically involving system-level that incorporates both hardware software stacks, broadly divided into two...

The utilization of cobalt-based sulfides is constrained by their inherently low conductivity and slow sodium ion diffusion kinetics. Modifying the electronic configuration constructing heterostructures are promising strategies to enhance intrinsic expedite process. In this study, heterogeneous nanoparticles Se-substituted CoS2/CoSe2, embedded within heteroatom-modified carbon nanosheet, were synthesized using metal molten salt-assisted dimensionality reduction alongside concurrent...

The utilization of cobalt‐based sulfides is constrained by their inherently low conductivity and slow sodium ion diffusion kinetics. Modifying the electronic configuration constructing heterostructures are promising strategies to enhance intrinsic expedite process. In this study, heterogeneous nanoparticles Se‐substituted CoS2/CoSe2, embedded within heteroatom‐modified carbon nanosheet, were synthesized using metal molten salt‐assisted dimensionality reduction alongside concurrent...

Abstract Cast iron is the basic material of manufacturing industry. It has excellent casting processability and good shock absorption wear resistance, so it widely used. With awareness energy conservation environmental protection, defects low high consumption traditional materials are gradually revealed. They being replaced by new alloy cast iron. This paper introduces latest developments in production technology recent years detail, involving purification, furnace selection, melt ratio,...

Microstructure and mechanical properties of the ultra- fine grained high carbon steel Fe-0.8C after multiple laser shock processing(LSP) were investigated by using scanning electron microscopy(SEM), transmission microscopy(TEM), mini-tensile tests microhardness measurements.The results show that ultrafine micro-duplex structure(ferrite+cementite) was obviously re fined due to ultra-high plastic strain induced LSP. Equiaxed ferrite grains refined from 400 nm 200 particle diameter cementite...

The effects of temperature and strain rate on the thermal deformation-behavior Cu-P weathering steel were studied by using simulator. And true stress-true curves at different deformation conditions got. Then features microstructure under temperatures rates analyzed. results show that with same dimensions rates, when higher, recrystallization would proceed much easier, size recrystal grains could be also larger. temperatures, lower, occur proportion

Under different deformation temperatures and strain rates, the thermal process of Cu-P weathering steel was studied using Gleeble1500D-type simulator. After high temperature rheopectic curves at conditions equation got, dynamic recrystallization diagram plotted. The results show that activation energy is 345kJ/mol, consisits three parts as completely zone, partially zone non-dynamic zone.

Using thermal simulator (Gleeble 1500D), the deformation behavior of Cu-P weathering steel containing Cr, Ni, Mo under conditions various temperatures and strain rates was studied. The true stress-true curves at were got, equation established. Then microstructure features analyzed when strains same. results show that with same rates, higher temperature, easier recrystallization occurs, greater size recrystal grains. And temperatures, lower rate, proportion Keywords:Weathering steel,...

Aiming at the service performance characteristics of cement concrete pavement, this paper puts forward optimized design concept for groove parameters pavement. Single parameter optimal choice is systematically analyzed based on integrated quality Through a variety multi-contrast laboratory tests and theoretical analysis, from three aspects anti-slide, strength, noise reduction, scheme are demonstrated proposed, form suitable environment in seasonal frozen region given.

Abstract Molecule generative models based on deep learning have attracted significant attention in de novo drug design. However, most current approaches are either only ligand-based or structure-based, which do not leverage the complementary knowledge from ligands and structure of binding target. In this work, we proposed a new ligand combined molecular model, LS-MolGen, that integrates representation learning, transfer reinforcement learning. Focus special explore strategy enables LS-MolGen...