Field-assisted conductive substrate sparks the redox kinetics of Co_(9)S_(8) in Li-and Na-ion batteries

As a promising candidate electrode material in both Li-and Na-ion batteries(L/SIBs),the application of Co_(9)S_(8) is being hindered by its unsatisfactory electrochemical performance caused by the sluggish ion diffusion kinetics and drastic volume expansion.Herein,a hybrid material composed of Co_(9)S_(8-x),N-doped carbon foam that seeded with Co nanoparticles(Co_(9)S_(8-x)@Co-NC) is constructed.Particularly,theoretical and experimental results imply that a built-in electric field at the interface of Co and NC is observed due to the variation of Fermi levels,forming rich Mott-Schottky-like heterointerfaces,which can significantly enhance the charge transfer capability between the active materials of Co_(9)S_(8) and conductive NC skeleton.Moreover,the sulfur defects in Co_(9)S_(8-x)can not only effectively lower the energy barrier of the ion diffusion and charge transfer processes,but also endow the target sample with more storage/adsorption/active sites for Li^(+)/Na^(+) ions,thus improving the rate performance of the Co_(9)S_(8-x)@Co-NC composite.As a result,the Co_(9)S_(8-x)@Co-NC exhibits fast surface-controlled redox kinetics and robust cycling stability.For instance,the Co_(9)S_(8-x)@Co-NC displays impressive Li-storage properties in both half and full cells with a high reversible capacity of 1007.4 mA h g^(-1)at 0.1 A g^(-1)after 100 cycles and superior rate capability up to 5 A g^(-1).Moreover,based on these comprehensive merits,the Co_(9)S_(8-x)@Co-NC composite shows decent electrochemical performance(472.2 and 311.1 mA h g^(-1)at 0.1 and 10 A g^(-1),respectively) as an anode for SIBs.This work presents an effective strategy for the construction of Mott-Schottky-like heterointerfaces in Co_(9)S_(8) based materials and provides specific inspiration for future works designing high-performance electrodes via interfacial engineering.

A Security Sensitive Function Mining Approach Based on Precondition Pattern Analysis

Security-sensitive functions are the basis for building a taint-style vulnerability model.Current approaches for extracting security-sensitive functions either don’t analyze data flow accurately,or not conducting pattern analyzing of conditions,resulting in higher false positive rate or false negative rate,which increased manual confirmation workload.In this paper,we propose a security sensitive function mining approach based on preconditon pattern analyzing.Firstly,we propose an enhanced system dependency graph analysis algorithm for precisely extracting the conditional statements which check the function parameters and conducting statistical analysis of the conditional statements for selecting candidate security sensitive functions of the target program.Then we adopt a precondition pattern mining method based on conditional statements nomalizing and clustering.Functions with fixed precondition patterns are regarded as security-sensitive functions.The experimental results on four popular open source codebases of different scales show that the approach proposed is effective in reducing the false positive rate and false negative rate for detecting security sensitive functions.

The Analysis of Clinical Features of Systemic Lupus Erythematosus (SLE) in Children

Objective:Observe the clinical characteristics of children with SLE,namely,to observe the symptoms and laboratory examinations,such as blood routine,blood lipid,immunoglobulin,complement,autoantibodies,serum 25(OH)D and other indicators,and to explore the clinical characteristics,the difference and the significance of vitamin D supplements between male and female SLE patients in children respectively.Methods:We enrolled 64 cases of SLE patients in children who were admitted into the department of pediatrics and rheumatology of the third affiliated hospital of sun yat-sen university in guangzhou from May 1,2011 to February 1,2019,They were analyzed retrospectively,adoptingΧ²test for statistical analysis.Results:64 cases of SLE in children,which included 10 cases of male and 54 cases of female.Clinical manifestations:facial skin rash in 48 patients(75%),fever in 38 cases(59.4%),arthritis in 28 cases(43.8%),oral ulcer in 18 cases(28.1%),serositis in13 cases(20.3%),and the sun allergy in 9 cases(14.1%),the damage of central nervous system in 7 cases(10.9%).Laboratory examination:30 cases of leukopenia(46.9%),anemia in 30 cases(46.9%),thrombocytopenia in 12 cases(18.8%),hematuria in 18 cases(28.1%),proteinuria in 33 cases(51.2%),6 patients with renal impairment(9.4%),antinuclear antibody positive in 63 cases(98.4%),anti-double-stranded DNA(dsDNA)antibody positive in 48 cases(75%),anti SSA antibody positive in 44 cases(68.7%),SSB antibody positive in 33 cases(51.6%),Sm antibody positive in 40 cases(62.5%),nucleosome antibody positive in 28 cases(43.8%).Among these children,male SLE patients were higher than female children with SLE in the damage of kidney,Sm antibodies and resisting nucleosome antibody positive rates(Χ²=4.451,8.336,6.803,P<0.05),the female children with SLE was higher than male SLE Children in the anti-SSB antibody positive rate(Χ²=4.945,P<0.05).In 64 cases of SLE children,which included 52 cases were lower than the normal level of serum 25(OH)D measurements,12 cases were in the normal lower limit of serum 25(OH)D measurements,at the same time,the female SLE.Patients was higher than male children with SLE in the reduce rate of serum 25(OH)D(Χ²=8.351,P<0.05).Conclusion:Male SLE patients which appeared damage of kidney easier than female patients,the proteinuria was the most common in the damage of kidney.Resistance to Sm antibodies which was the risk factor of renal injury with higher incidence in male children with SLE;Anti nucleosome antibody which was the risk factor for the disease activity in male children with SLE were higher than female children with SLE.It was estimated that the risk of Sjogren’s syndrome appeared in female with SLE were higher than that in male SLE children.In this retrospective study,the serum 25(OH)D levels were significantly lower in children with SLE,and vitamin D supplementation was required.

Overview of Named Entity Recognition

Named entity recognition,as a sub-task of information extraction,has attracted widespread attention from scholars at home and abroad since it was proposed,and a series of studies and discussions have been carried out based on it.This paper discusses the existing named entity recognition technology based on its history of development.

New indole derivatives from endophytic fungus Colletotruchum sp. HK-08 originated from leaves of Nerium indicum

Objective:To study secondary metabolites from endophytic fungus Colletotruchum sp.HK-08 originated from the leaves of Nerium indicum.Methods:The compounds were isolated by various column chromatographic techniques,and their structures were elucidated by spectroscopic techniques[high resolution electrospray ionization mass spectroscopy(HRESIMS),one-dimensional(1D)and two-dimensional(2D)nuclear magnetic resonance spectroscopy(NMR)],as well as comparison with literature data.The Ellman method was used to determine the acetylcholinesterase(AChE)inhibitory activity.Results:Four indole derivatives were identified from Colletotruchum sp.HK-08,including 60-hydroxymonaspiloindole(1),2-(2-oxoindolin-3-yl)ethyl 2-(4-hydroxyphenyl)acetate(2),2-(2-oxoindolin-3-yl)ethyl 2-(2-hydroxyphenyl)acetate(3),and monaspiloindole(4).Compound 4 presented weak AChE inhibitory activity with IC50 value of(69.30±6.27)lmol/L[tacrine as the positive control,with IC50 value of(0.61±0.07)lmol/L].Conclusion:Compounds 1–3 were new compounds,and compound 4 had weak AChE inhibitory activity。

Driver mental load identification model Adapting to Urban Road Traffic Scenarios

load model established in a road traffic scene is difficult to adapt to the changes of the surrounding road environment during the actual Objective:At present,most research on driver mental load identification is based on a single driving scene.However,the driver mental driving process.We proposed a driver mental load identification model which adapts to urban road traffie scenarios.scene discrimination sub-model can quickly and accurately determine the road traffic scene.The driver load identification sub-model Methods:The model includes a driving scene discrimination sub-model and driver load identification sub-model,in which the driving sub-model.selects the best feature subset and the best model algorithm in the scene based on the judgement of the driving scene classification Results:The results show that the driving scene discrimination sub-model using five vehicle features as feature subsets has the best performance.The driver load identification sub-model based on the best feature subset reduces the feature noise,and the recognition tends to be consistent,and the support vector machine(5VM)algorithm is better than the K-nearest neighbors(KNN)algorithm.effect is better than the feature set using a single source signal and all data.The best recognition algorithm in different scenarios Conclusion:The proposed driver mental load identificution model can discriminate the driving scene quickly and accurately,and then identify the driver mental load.In this way,our model can be more suitable for actual driving and improve the effect of driver mental load identification.

SOLUTION FOR TWO-POINT BOUNDARY VALUE PROBLEM OF THE SEMILINEAR FRACTIONAL DIFFERENTIAL EQUATION

In this paper, we establish the existence result of solution and positive solution for two-point boundary value problem of a semilinear fractional differential equation by using the Leray-Schauder fixed-point theorem. The discussion is based on the system of integral equations on a bounded region.