Abstract:In this paper,we establish a Pontryagin-type maximum principle for a control stochastic evolution equation with a random generator and a convex control domain. Given p>=2, the existence and uniqueness of mild solutions to the control system are obtained by using the Malliavin calculus. To study the well-posedness of the adjoint systems when 1

Abstract:In this paper, numerical solution for the initial-boundary value problem of BBM equation with homogeneous boundary is considered. A two-level nonlinear difference scheme with second order in time and fourth order in space is proposed. The difference scheme simulates the conservation property of the problem. The existence and uniqueness of the difference solutions are proved. Using the discrete energy method, the stability and convergence are proved. Numerical experiments confirm the theortical results.

Abstract:In this paper,~we study the existence of positive solutions for a class of second-order nonlinear Neumann problem \[ \begin{cases} y''+a(t)y=\lambda g(t)f(y),~~t\in[0,1],\y'(0)=y'(1)=0, \end{cases} \] where~$\lambda>0$~is a positive parameter,~$f$~is superlinear at infinity,allowed to change sign， and the Green's function associated with this problem may vanish at some points. The proof of the main result is based on the Krasnosel'skii fixed-point theorem.

Abstract:In this paper,by using the method of generalized Krasnoselskii's contractive fixed point theorem in bimetric spaces we study the existence and uniqueness of the positive solutions for the following second-order nonlinear integral boundary value problem\$$u''+a(t)f(t,u(t),u'(t))=0,~t\in(0,1),$$ $$u(0)=0,~\alpha\int_{0}^{\eta}u(s)ds=u(1),$$ where$~0<\eta<1,~0<\alpha<\dfrac{2}{\eta^{2}},~a\in C([0,1],[0,\infty)),~t_{0}\in[\eta,1],~a(t_{0})>0,~$and$~f:[0,1]\times[0,\infty)\times R\rightarrow[0,\infty)~$is continuous.

Abstract:In this paper, we study the difference of the products of composition operator and integral type operator $C_\varphi I_g$ and $I_gC_\varphi$ acting on the $\alpha$-Bloch-Orlicz space $\mathcal{B}_\alpha^\phi$ in the unit disk. By constructing different test functions, we present some necessary and sufficient conditions for the boundedness and compactness of the difference.

Abstract:In this paper, we use the Dancer's global bifurcation theorem to study the global structure of positive solutions for the following first-order periodic boundary value problem with parameter $$ \left\{\begin{array}{ll} u'(t)+a(t)u(t)=r f(u),~~\ \ \ t\in (0,1),\\[2ex] u(0)=u(1). \end{array} \right. $$ where $r$ is a posotive parameter, $f:\mathbb{R}\rightarrow \mathbb{R}$ and $ sf(s)>0,~s\neq0,~a:[0,1]\rightarrow[0,\infty)$~and ~$a(t)\not\equiv0$~on any subinterval of [0,1].

Abstract:In this paper, we investigate the existence of positive solutions for second-order nonlinear $m$-point boundary value problems. By using the Leray-Schauder fixed point theorem, we give some sufficient conditions for the existence of positive solutions, which improve the known results.

Abstract:Accroding to the defects in the current machine reading comprehension approaches that either match the passage to the question alone leading to the loss of information of the passage or match the passage to the sequence that concatenates the question and the candidate answer leading to loss of interaction information between a question and an answer and traditional recurrent-based encoder that sequentially parses the text sequence ignoring inta-document relationships, a model that improve the encoder of the passage and jointly match the question and candidate answer to the passage is proposed. Firstly, the sequences of the passage are chunked into blocks based on multi-granular, encoder takes the neural bag-of-words representation of each block, that is sum the embedding of all words that reside in each block. Next, the blocks are passed into fully-connected layers and expanded to original sequence lengths. The gating function are then constructed through two layered feed-forward neural network which modeling the relationshiops between all blocks that each word resides in, allowing for possessing a larger overview of the context information and capturing the intra-document relationships. Finaly, the attention mechanism is used to model the interaction between the passage and the question as well as the candidate answer to select an answer. Experimental results on the SemEval-2018 Task 11 demonstrate that our approach performance improvement over the baselines such as Stanford AR and GA Reader ranges from %-%, pull ahead of recent model SurfaceLR by at least 3% and outperforms the TriAN by 1%. Besides, pretraining the model on RACE datasets helps to improve the overall performance.

Abstract:This paper proposes a Metadatabased monitoring data REST API design method, in which data abstraction and data description is based on the characteristics of monitoring data and metadata concept respectively, APIs specified with REST make it possible for the monitoring data presentations to be standardized and automated, some practical application examples are given to validate the feasibility of the proposed design method.

Abstract:A novel fingerprint encryption algorithm based on topological structure of fingerprint minutiae is presented in this paper. The encryption algorithm randomly selects three different points on the infinite plan, which form a triangle and do not belong to any fingerprint feature points, as the fingerprint encryption keys. The distance between the fingerprint feature points and the three selected points is taken as encrypted value, which is calculated for every fingerprint feature point until all the feature points are encrypted, and finally the fingerprint encryption value is obtained. Compared with the previous fingerprint encryption algorithms, the advantage of the proposed algorithm is to expand the selection range of the initial value of the key and the key space, which makes the brute force more difficult. The encryption calculation method is simple and its complexity is low, the encryption efficiency for a large amount of fingerprint data is improved.

Abstract:Automation, efficiency, and granularity are major challenges in the area of malware detection and classification. With the successful application of deep learning in the fields of image processing, speech recognition and natural language processing, it has alleviated the enormous pressure of traditional analysis methods on manpower and time cost to some extent. This paper describes mal2vec: an automatic, efficient and finegrained malware analysis method, which treats each malware as a text with rich behavioral semantic information. The content of the text is composed of API sequences when malware is dynamically executed. We use the classical neural probability model Doc2Vec to train the text set. The experimental results show that the effect of this paper is significantly improved compared with the classification effect of Rieck et al. In particular, unlike other methods of deep learning, this method can extract the intermediate results of model training for explicit representation. This explicit intermediate result is interpretable and allows us to analyze the behavior patterns of the malware family from a finegrained level.

Abstract:Student status management is a key part in university information construction and an important basis for talents certification. The emergence of blockchain technology provides a new way to improve the student status management system. Blockchain is a distributed ledger technology in nature, with its decentralized and nontamperable features, the security and authenticity of student information can be ensured. Based on the application of blockchain technology such as smart contracts in "Smart Campuses", this paper proposes and designs a decentralized student status management systim. With Fabric framework, we developed a prototype of student status management system its demonstraiton.

Abstract:To solve the problem of low accuracy in general cyber security named entity recognition (NER) model，a deep active learning method is proposed for NER in general cyber security field, which is based on character feature，BiLSTM and conditional random field (CRF). The neural network model is for sequence labeling and CRF is for label dependency constraint，which then improves the accuracy of sequence labeling. Furthermore，as for datasets with the insufficient labeled samples in cyber security field，the proposed active learning method is able to achieve better sequence labeling effect with a small number of labeled samples.

Abstract:Networks at all levels are limited by the export-bandwidth. With the popularity of Internet and its applications, Network is in face of the pressure from expansion. Although it can satisfy the bandwidth requirement in peaks, it will usually result in additional cost of facility upgrade and more expensive rental charge of bandwidth. Based on the tidal characteristics of bandwidth utilization, this paper proposed an adaptive algorithm of dynamic bandwidth allocation. In this algorithm, multiple levels of bandwidth and Quality-of-Level are configured and an alerting factor is introduced. Meanwhile, early warning information of bandwidth expansion can be provided additionally. Experiments are conducted to prove the correctness and effectiveness of the algorithm.

Abstract:Unstructured text resources provide a large amount of information related to vulnerability. Traditional domain-specific entity recognition relies on feature templates and domain knowledge to recognize related entities. The recognition performance depends largely on the quality of manually selected feature functions. It is a challenging task to mine the features implied by the text automatically, rather than manually formulate the characterization of the domain terminology. In this paper, a BLSTM and CRF security vulnerability domain entity recognition model (BLSTM-CRF model) is proposed and a dictionary is used to correct the results generated by the model. The F value can reach 85%. Experiments show that this method can significantly reduce the workload of manually selecting features while improving the precision and recall

Abstract:An effective method to enhance the intensities of the attosecond pulses has been proposed by using the asymmetric polarization gating (PG) technology. The results show that when the two circularly polarized pulses are asymmetry in pulse intensity, not only the modulation of the harmonics can be decreased; but also the intensities of the harmonics can be enhanced, correspnding to a 85 eV supercontinuum with the near-single quantum path contribution. Finally, by superposing the harmonics of this supercontinuum, a single attosecond pulse with the full width at half maximum of 52 can be obtained.

Abstract:The Large High Altitude Air Shower Observatory (LHAASO) is located at Haizi Mountain in Daocheng County (4400 m a.s.l., Sichuan, China). This experiment is realized by using various methods for an accurate duplex measurement on the secondary cosmic rays entering the atmosphere. The thunderstorms occur frequently in high altitude areas, so the number, direction and energy of secondary particles of cosmic rays in the Extensive Air Shower (EAS) will be affected by thunderstorms electric field. In this paper, employing Monte Carlo method, we simulate the process of EAS for the primary particles cosmic rays entering the atmosphere and study the longitudinal distribution, the lateral distribution and the energy distribution of photons, electrons and muons in the secondary particles. The results show that the number of electrons on the LHAASO detector surface is 2 ~ 3 times more than that of the muons; the muons have a wide range of horizontal distribution, while the electrons are of concentrated distribution; the muon's energy is much larger than that of the electron. Considering the influence of the electric field, the effect of the electric field will be more evident on the electrons, which has tiny mass. Our simulation results are significant in studying the acceleration mechanism of secondary charged particles caused by electric field and provide important information to understand the observation of ground experiments during thunderstorms.

Abstract:The structures and electronic properties of calcium chalcogenides CaX (X=S, Se, Te) in NaCl structure have been investigated by using the first-principle pseudopotential method based on density function theory within a LDA (local density approximation). The calculated lattice parameters are in excellent agreement with the experimental results, whereas the minimum gaps are much lower than the experimental ones. To get the reliable band gap values, we employ the GW (G is Green’s function and W is the screened Coulomb interaction) approximation method to correct the band gap values. The band gap values of CaS and CaSe using GW approximation have been improved compared to the obtained results from the LDA, which are in agreement with the experimental data. And we also predict the band gap value of the CaTe. It is expected that GW approximation should be very appropriate, though there is no experimental result for CaTe.

Abstract:ARGO-YBJ, located at the Yangbajing cosmic ray Observatory (4300 m a. s. l., Tibet, China), has a threshold energy of about several hundred GeVs. It is particular useful in searching for high energy GRBs because of its unique advantages of high altitude, wide field of view, and full coverage. ARGO-YBJ experiment can not distinguish between photons and protons. To find photon signals in a large number of cosmic ray events, we must correctly estimate the background event rate, which is the key to search for high-energy GRBs. In this paper, the “equi-zenith-angle” method is used to analyze the cosmic ray background of GRBs in ARGO experiment. Due to the rotation of the earth, the zenith angle varies with time. We focuses on the analysis of the change of zenith angle in the duration of the long GRBs, so that the background estimation is more accurate.

Abstract:The ground states and excitation states of 1-methylamideanthraquinone (MAAQ) are studied by using density functional theory (DFT) combined with time-dependent density functional theory. In the S0 state of MAAQ, amide group is coplanar with anthraquinone, and an intramolecular hydrogen bond C=O•••H-N is formed. The S0→S1 transition belongs to π→π*. Two stable structures (planar nMAAQ and twisted tMAAQ) have been obtained in the S1 state of MAAQ, nMAAQ is the dominant conformation in the S1 state of MAAQ and the emission spectra of tMAAQ is not observed in the solution of MAAQ. In the S1 state, twisted intramolecular charge transfer (TICT) process occurs in MAAQ. An intermolecular hydrogen bond F•••H-N is formed in the S0 state, and ESIPT happens in the S1 state for MAAQ-F-.

Abstract:The anatase TiO2 photocatalysts were synthesized by using the sol-gel method with the tetrabutyl titanate as a precursor after the sol was adjusted to a desired pH value. And the structuresof theobtained TiO2photocatalystswere investigated by using X-ray diffraction (XRD). The photocatalytic activities of the typical anatase-type TiO2photocatalysts were investigated by degrading the methyl orange. The experimental results show that the anatase-type TiO2 photocatalyst obtained at the value of pH = 5.0 exhibit the higher photocatalytic activity.

Abstract:Based on the directed relation graph with error propagation (DRGEP) reduction method and the computational singular perturbation(CSP) importance index method, a detailed mechanism of n-decane with 119 species and 373 reactions was simplified. A skeletal mechanism with 32 species and 73 reactions was thus obtained. By comparing the ignition delay time, the concentration profile of important species and extinction simulation results with the detailed mechanism, we find the skeletal mechanisms could reproduce the characteristics of the detailed mechanism and give the combustion characteristics of n-decane. The development of these models represents a significant step toward coupling of chemical reaction kinetics with computational fluid dynamics, and is a good basis for improving computational efficiency.

Abstract:The gerometric structures, electronic and magnetic properties of the Co and Ni single doped and double doped ZnO nanowires are systematically studied by using density functional theory. It is found that the binding energies of the doped nanowires are negative, which indicates that the doping process is an exothermic reaction. The Co atom tends to occupy the intermediate position, while the Ni atom tends to occupy the surface position. All doped nanowires show direct band gap semiconductor behavior with the narrow energy gap. The magnetic moments of the nanowires mainly originate from the 3d orbitals of magnetic atoms. Two ferromagnetic and antiferromagnetic coupling states appear in the Co-doped nanowires, while three ferromagnetic, antiferromagnetic and paramagnetic coupling states appear in the Ni-doped nanowires.

Abstract:Bagasse was used as raw material to prepare super absorbent resin with a high water absorption and retention by pretreatment-ultrasonic assisted aquae hydrogenii dioxidi treatment and graft modification. The effects of the ratio of acrylic acid/bagasse, the dosage of initiator, the amount of crosslinker, the neutralization degree on water absorption capacity of resin were studied. IR, XRD and SEM were used to investigate the grafting situation, crystallization, structure and morphology of the bagasse before and after pretreatment and super absorbent resin. The results show that the optimum condition is that the ratio of acrylic acid/bagasse, the dosage of initiator, the amount of crosslinker, and the neutralization degree are 10 mL/g, 0.12 g, 4 mg and 80%, respectively. The pretreatment of bagasse fiber can obviously improve the water absorption of resin. The water absorption capacities of resin in deionized water, running water and 0.9%NaCl solution are 413, 104 and 14 g/g, respectively. The water retention rate of resin reaches 97% by treating the deionized water saturated resin when placed at room temperature for 72 hours.

Abstract:In order to analyze the role of RNA recognition region (RRM) in the regulation of tumor cell cycle by RBM5 protein, three stable cell lines A549/Vector, A549/RBM5WT, A549/RBM5△RRM were constructed by using A549 cell line with low expression of RBM5. The phase of cell cycle analysis by Flow cytometry showed that only A549/RBM5WT was arrested in G1 phase, indicating that the RRM region was essential for RBM5 to inhibit cell cycle progression. Using Western Blot to detect the difference between cyclin A and PhosphoRb (ser 795), it was proved that RRM of RBM5 protein could participate in pRb dephosphorylation mediated by RBM5 and inhibit cyclin A expression, thus inhibiting cell cycle progression.

Abstract:Traditional fermented food of HuaiYuan, SiChuan have regional characteristics. Based on the Illumina HiSeq 2500 high-throughput sequencing platform, this article compared and analyzed the microbial community structure of the traditional fermented food tofu curtain and rice cake, aiming to reveal the microbial diversity of the regional characteristics of fermented foods. The results showed that the tofu curtain and rice cake contained a total of 28 common bacterial genera including Acinetobacter, Lactobacillus, etc. And 19 common fungal genera including Trichosporon, Actinomucor, etc. These common microorganisms may be related to the local special microbiological system and also determine the regional characteristics of fermented foods. The analysis of the specific genus of tofu curtain and rice cake found that it has significant characteristics of food ingredients. This paper first analyzed the microbial diversity of Huaiyuan's unique tofu curtains and special rice cake, which can provide theoretical guidance for the production and management of traditional fermented foods in Sichuan.

Abstract:In order to achieve consecutive and markerless modification in B.pumilus SCU11 genome and increase the production of alkaline protease, we established a markerless genetic modification system for B.pumilus based on counterselection of Upp gene, and a copy of the alkaline protease gene AprE was inserted into the 16S rDNA region in the genome of B.pumilus. The shaking flask fermentation experiment showed that the alkaline protease activity of mutant strain reached 7125 U/mL, which was 33.1% higher than that of the parental strain. The results showed that the system can achieve markerless genetic modification to the Bacillus pumilus genome, and the final screening efficiency in doublecrossover of AprE insertion strains was about 23.07%.

Abstract:By referring to the assay for determining the acute toxicity of compounds to environmental organisms, such as fishes，earthworms，silkworms and algaes in “environmental safety evaluation tests of chemical pesticides standards”, the environmental safety of compound SCU-2028 was evaluated. The results showed that the EC50 value against algaes in 72 h was 7.872 mg/L，the LC50 value against fishes in 96 h was more than 12 mg/L, the LC50 value against earthworms in 14 d was more than 40 mg/kg and the LC50 value against silkworms in 96 h was more than 4800 mg/kg. This showed that compound SCU-2028 had low toxicity to environmental organisms.

Abstract:In this experiment, it was designed to investigate the differences in photosynthetic performance between wildtype (WT) and stn7 mutant. The seed germination rate of two rice was detected. Besides, chlorophyll content was measured by pulse amplitude modulation imaging fluorometer IMAGMINI, SPAD502 chlorophyll meter was used to measured the SPAD value of plants in the seedling stage, and the light response curve of the plants at jointingbooting stage under natural growth was measured by the LI6400XT portable photosynthesis system. The results showed that there was almost no difference in seed germination and SPAD value between WT and stn7. The result of chlorophyll fluorescence parameters indicates that the photosynthetic performance of WT is better than stn7. The result of chlorophyll a/b value and light response curve reveals the ability to use low light in WT is stronger. And the result of the light response curve shows that the photosynthetic rate of stn7 is higher than WT in high light. These results attest that the STN7 kinase is important for the photosynthesis of rice

Abstract:This study comprehensively considers topographic factors such as elevation, slope, ecosystem service factors, biodiversity and water conservation, to comprehensively and quickly evaluate the recovery effect of postdisaster ecosystems and explore new methods for ecological restoration assessment after earthquakes. Taking the ecological restoration of Dujiangyan in the “5.12” Wenchuan earthquake as an example, the key ecological problems caused by earthquakes and secondary disasters were integrated, and the spatial pattern of key ecological land was established. The results show that compared with 2005, the total area of ecological land decreased by 12.88 km2 in 2011. The land use types before and after the earthquake have an obvious transfer to construction land. The importance of key ecological land use rate is geological disaster＞water conservation＞Diversity. From the results analysis, in the third year after the earthquake, the indicators of biodiversity, water conservation, and geological disasters have been restored and exceeded the preearthquake. Most of the losses are in the northwest of Dujiangyan, where landslides and mudslides occur frequently.

Abstract:According to the resistance performance of clubroot in the field, two kinds of rapeseed materials, Kc84-1 and OG-13, which were resistant to the No.4 physiological race of Plasmodiophora brassicae, were preliminarily screened out by the bacterial soil method and the dipping root method among the several suspected disease resistant materials. The clubroot resistance of material Kc84-1 was identified by comparing with the resistant cultivar Huashuang 5R and the susceptible material R-197 by the disease investigation statistics, and the related resistance physiological analysis of three materials was carried out. The results showed that, there was the same level clubroot resistance of Kc841 and Huashuang 5R. The activity of defense enzymes Superoxide Dismutase (SOD), Peroxidase (POD), Polyphenol oxidase (PPO), Phenylalanine ammonialyase (PAL) and the Malondialdehyde (MDA) content of resistance related substances were different in distinct materials. The activities of the two kinds of resistant materials, such as SOD, POD, and PAL, were significantly higher than that of the susceptible material. There was no significant difference in PPO activity and MDA content between resistant materials and susceptible materials. The observation on root hair infection of three materials at an early stage by hydroponics, the results showed that the root hairs infection rate of susceptible material R-197 was significantly higher than that of resistant varieties Huashuang 5R and material Kc84-1 in the sixth to fourteenth days of infection.