Herein, a better mesophase pitch as precursor for the manufacturing of green needle coke is obtained by new process, whereas refined medium‐ and low‐temperature coal tar (RCTP) solvent sedimentation method, then, it co‐carbonized with coal‐based hydrogenated diesel oil at 420 °C 6 h. The structure characterized polarized light optical microscope, Fourier transform IR (FT‐IR) spectroscopy, 1 H nuclear magnetic resonance (NMR). results indicate that aromatic hydrogen content gradually...

Abstract The amount of leakage is the only direct indicator sealing performance a proton exchange membrane fuel cell (PEMFC). In this work, predictive model developed to quantitatively evaluate variation for PEMFC under temperature cycling conditions. method first uses Lattice-Boltzmann simulate gas flow within contact interfacial gap at various heights. Then finite element used analyze local and macroscale state interface clarify effect stresses on height. Finally, generalized Maxwell...

Background: Ovarian cancer is the most malignant gynecological disease, which seriously threatens female physical and mental health.Paclitaxel a first-line chemotherapy drug in clinical treatment of ovarian cancer, but resistance has become an important factor affecting survival patients.However, main mechanism remains unclear.In this study, we analyzed Integrated Gene Expression Database (GEO) dataset using comprehensive bioinformatics tools to provide new therapeutic strategies search for...

Network alignment is becoming an active topic in network data analysis. Despite extensive research, we realize that efficient use of topological and attribute information for large attributed has not been sufficiently addressed previous studies. In this paper, based on Stochastic Block Model (SBM) Dirichlet-multinomial, propose "divide-and-conquer" models CAlign jointly consider alignment, community discovery one framework networks with node attributes, effort to reduce both the computation...

In this work, a model for predicting the leakage rate was developed to investigate effect of irradiation on sealing performance ethylene propylene diene monomer (EPDM) O-rings. The is based mesoscopic interfacial gap flow simulation and accurately predicts irradiated non-irradiated materials by utilizing height as an indicator in mechanical O-ring under operating conditions. A comparison with vacuum test results indicates that good predictor leak initiation. positive pressure O-rings...

Correlated anomaly detection (CAD) from streaming data is a type of group and an essential task in useful real-time mining applications like botnet detection, financial event industrial process monitor, etc. The primary approach for this previous researches based on principal score (PS) divided batches or sliding windows by computing top eigenvalues the correlation matrix, e.g. Lanczos algorithm. However, paper brings up phenomenon degeneration large set, then mathematically practically...

Natural language query grounding in videos is a challenging task that requires comprehensive understanding of the query, video and fusion information across these modalities. Existing methods mostly emphasize on query-to-video one-way interaction with late scheme, lacking effective ways to capture relationship within between fine-grained manner. Moreover, current are often overly complicated resulting long training time. We propose self-attention together cross multi-head-attention mechanism...

In metal cutting processing, especially in the processing of low-rigidity workpieces, chatter is a key factor affecting many aspects such as surface quality, efficiency and tool life. The academic research on mainly focuses three directions: prediction, real-time detecting, suppression. With continuous development machining toward intelligence, hot spots trends are also constantly changing. Therefore, an in-depth systematic summary current situation urgently needed. On this basis, it great...

With the development of Industry 4.0, hard-cut materials such as titanium alloys have been widely used in aerospace industry. However, due to poor rigidity alloy parts, deformation and vibration easily occur during cutting process, which affects accuracy, surface quality efficiency part machining. Therefore, this paper, tool runout workpiece are introduced into milling process flat-end mills. Based on tool’s hypocycloid motion, a geometric parameter model is established, undeformed thickness...

Botnet, a group of coordinated bots, is becoming the main platform malicious Internet activities like DDOS, click fraud, web scraping, spam/rumor distribution, etc. This paper focuses on design and experiment new approach for botnet detection from streaming server logs, motivated by its wide applicability, real-time protection capability, ease use better security sensitive data. Our algorithm inspired Principal Component Analysis (PCA) to capture correlation in data, we are first recognize...

Abstract Electrical penetration assembly (EPA) are electrical conduits mounted on the containment that serve to maintain integrity of pressure boundary and provide a path for cables traverse containment. Currently, low-voltage (LV-EPA) is mainly made organic materials realize sealing function, it not clear whether performance will be degraded in event nuclear reactor under extended design conditions (DEC-B). In this paper, representative original-size LV-EPA selected as research object,...

.Microbes are able to deploy different strategies in response to, and depending upon, local environmental conditions. In the setting of a microbial community, this property induces Nash equilibrium problem because access resources is bounded. If microbes also distributed space, then those subject transport limitations (encoded PDE) so at one location influence and, hence, strategies, another. Here we formulate resulting PDE-coupled generalized for multispecies biofilm propose...

Abstract In order to provide more convenient and efficient severe accident management tools improve the ability cope with conditions, a risk assessment method of strategies is proposed based on analysis, big data neural network intelligent learning technology. this method, critical state parameters nuclear power plant are selected as research object, different adopted at process states for typical large amount calculation analysis carried out obtain changes after implementing strategies,...

This paper mainly deals with the simulations of graphite matrix spherical fuel elements by steam in normal operating conditions. The element was firstly simplified to an annular part simulations. Then corrosions 10 MW High Temperature Gas-cooled Reactor (HTR-10) and Reactor—–Pebble-bed Module (HTR-PM) were investigated respectively. results showed that gasification uniform occurred at bottom core both reactors mean residence time elements. caused designed high temperature bottom. total mass...

This paper presents a non-trivial reconstruction of previous joint topic-sentiment-preference review model TSPRA with stick-breaking representation under the framework variational inference (VI) and stochastic (SVI). is Gibbs Sampling based that solves topics, word sentiments user preferences altogether has been shown to achieve good performance, but for large dataset it can only learn from relatively small sample. We develop models vTSPRA svTSPRA improve time use, our new approach capable...

Monitoring the shipyard production state is of great significance to shipbuilding industry development and coastal resource utilization. In this article, it first time that satellite remote sensing (RS) data utilized monitor dynamically efficiently, which can make up for traditional collection mode. According imaging characteristics optical images in shipyards with a different state, are analyzed establish reliable evidence. Firstly, order obtain data, high-level semantic information...