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To explore the effects of nitrogen, phosphorus and potassium on the physiology of Pyrrosia petiolosa as well as the synthesis and accumulation of chlorogenic acid (CGA), tissue culture seedlings of P. petiolosa were used as materials, and three concentration gradients of low nutrient (no fertilization: N0, P0, K0), normal fertilization (N: 0.20 g·kg-1, P: 0.15 g·kg-1, K: 0.15 g·kg-1) and high nutrient (N1: 0.40 g·kg-1, P1: 0.30 g·kg-1, K1: 0.30 g·kg-1) were set up. Seven treatments were set up to NPK, N0PK, N1PK, NP0K, NP1K, NPK0 and NPK1, and the resistance physiological indexes, CGA contents and key enzyme activities of P. petiolosa under different treatments were determined. The results were as follows: (1) Nitrogen, phosphorus and potassium fertilizers had significant effects on the resistance physiology of P. petiolosa. The activities of superoxide dismutase(SOD) increased significantly under high nitrogen and low potassium treatments, but catalase (CAT) activities rose significantly under low and high treatments of three nutrients. (2) The contents of CGA in P. petiolosa was significantly affected by different nutrient levels of nitrogen, phosphorus, and potassium. The CGA level in normal fertilization was the highest, reaching 12.92 mg·g-1, while the CGA content in high potassium fertilization was the lowest, 7.79 mg·g-1. Potassium fertilizer had the most significant effect on CGA content. (3) The key enzyme activities of CGA synthesis were significantly different in different fertilization treatments. The content of CGA was positively correlated with the activities of quinate o-hydroxycinnamoyl transferase (HQT) and 4-coumaroyl coenzyme ligase (4CL), and negatively correlated with the activity of quinic acid shikimate o-hydroxycinnamoyl transferase (HCT). HQT, 4CL and HCT were the key factors leading to the difference of CGA content. The results of this study provide a theoretical reference for the artificial cultivation of P. petiolosa.

In this article, we study the following fractional Schrödinger-Poisson system: ε2s(−Δ)su+V(x)u+ϕu=f(u)+∣u∣2s*−2u,inR3,ε2t(−Δ)tϕ=u2,inR3,\left\{\begin{array}{ll}{\varepsilon }^{2s}{\left(-\Delta )}^{s}u+V\left(x)u+\phi u=f\left(u)+{| u| }^{{2}_{s}^{* }-2}u,\hspace{1.0em}& \hspace{0.1em}\text{in}\hspace{0.1em}\hspace{0.33em}{{\mathbb{R}}}^{3},\\ {\varepsilon }^{2t}{\left(-\Delta )}^{t}\phi ={u}^{2},\hspace{1.0em}& \hspace{0.1em}\text{in}\hspace{0.1em}\hspace{0.33em}{{\mathbb{R}}}^{3},\end{array}\right. where ε>0\varepsilon \gt 0 is a small parameter, 030\lt s,t\lt 1,2s+2t\gt 3, and 2s*=63−2s{2}_{s}^{* }=\frac{6}{3-2s} is the critical Sobolev exponent in dimension 3. By assuming that VV is weakly differentiable and f∈C(R,R)f\in {\mathcal{C}}\left({\mathbb{R}},{\mathbb{R}}) satisfies some lower order perturbations, we show that there exists a constant ε0>0{\varepsilon }_{0}\gt 0 such that for all ε∈(0,ε0]\varepsilon \in (0,{\varepsilon }_{0}], the above system has a semiclassical Nehari-Pohozaev-type ground state solution vˆε{\hat{v}}_{\varepsilon }. Moreover, the decay estimate and asymptotic behavior of {vˆε}\left\{{\hat{v}}_{\varepsilon }\right\} are also investigated as ε→0\varepsilon \to 0. Our results generalize and improve the ones in Liu and Zhang and Ambrosio, and some other relevant literatures.

Echovirus 11 (E11) has gained attention owing to its association with severe neonatal infections. From 2018 to 2023, a surge in severe neonatal cases and fatalities linked to a novel variant of genotype D5 was documented in China, France, and Italy. However, the prevention and control of E11 variants have been hampered by limited background data on the virus circulation and genetic variance. Therefore, the present study investigated the circulating dynamics of E11 and the genetic variation and molecular evolution of genotype D5 through the collection of strains from the national acute flaccid paralysis (AFP) and hand, foot, and mouth disease (HFMD) surveillance system in China during 2000–2022 and genetic sequences published in the GenBank database. The results of this study revealed a prevalent dynamic of E11 circulation, with D5 being the predominant genotype worldwide. Further phylogenetic analysis of genotype D5 indicated that it could be subdivided into three important geographic clusters (D5-CHN1: 2014–2019, D5-CHN2: 2016–2022, and D5-EUR: 2022–2023). Additionally, variant-specific (144) amino acid mutation sites and positive-selection pressure sites (132, 262) were identified in the VP1 region. Cluster-specific recombination patterns were also identified, with CVB5, E6, and CVB4 as the major recombinant viruses. These findings provide a preliminary landscape of E11 circulation worldwide and basic scientific data for further study of the pathogenicity of E11 variants.

The surface point cloud data of coal mine roadways extracted using 3D laser scanning technology has a large amount of redundant data. The existing point cloud data simplification methods have the problem of insufficient detail preservation in the processing of large-scale point clouds. In order to solve the above problems, a surface point cloud data reduction method for coal mine roadways based on secondary feature extraction is proposed. Firstly, the method performs denoising preprocessing on the collected original roadway point cloud data. Secondly, the method establishes a K-d tree and uses principal component analysis to estimate the denoised point cloud data to fit the normal vector of the neighborhood plane. Thirdly, the point cloud is preliminarily divided into feature and non-feature regions using a smaller normal vector angle threshold, retaining the feature regions and randomly downsampling the non-feature regions. Fourthly, based on the larger normal vector angle threshold, the feature region point cloud is divided into feature points and non-feature points. And voxel random sampling is conducted on the non-feature points. Finally, the method merges the two point cloud simplification results with the feature points to obtain the final simplified data. The simulation results show that under million data level point clouds and high precision conditions, this method achieves better results in feature preservation and reconstruction precision compared to curvature simplification methods, random simplification methods, and grid reduction methods. The average standard deviation calculated after 3D reconstruction can be about 30% lower than other methods under the same reduction rate.

Since the late 19th century, the legend of Napoleon has spread in China, carrying with it the epic of the French Revolution and images of a romantic Paris, and has always inspired patriotic passion and political imagination among Chinese audience. In the mid-1910s, widely portrayed by fiction, photography, film and drama, Napoleon aroused popular sensation again in Shanghai. No longer interested in his militant talent and imperial glory, the media were obsessed with his private life, all about his marriages and lovers. In the context of sentimental ethos and political disillusion in the early Republican period, this anti-heroic proclivity both refracted colorful urban mentality and popular desire. In a series of stories, women were depicted as superior to Napoleon, signifying the rise of feminine consciousness at the time. On the other hand, due to Yuan Shikai’s dictatorship, the representations of a demonized Napoleon implied a democratic demand. This Napoleonic episode, a hundred years ago, will bring us new perspectives on the issues of media and politics in global China.

In recent years, the rapid advancement of Building Information Modeling (BIM) technology has led to an increasing variety of application scenarios, necessitating diverse demands on the technology. Among these requirements, the lightweighting of BIM models is of paramount importance. However, conventional approaches primarily focus on the models themselves, neglecting the varying needs of users. This study presents a novel lightweighting method for BIM models, starting from user interests or specific scenario requirements. It employs optimized data structures and organization techniques to streamline source data, thereby solving the problem of lightweighting BIM models while catering to the diverse needs of users. A comparison of studies using apartment buildings, office buildings, and commercial complexes as examples show that this method works to greatly enhance the efficiency of visualizing different-sized BIM models in geospatial environments. This research provides a new approach to lightweighting BIM models and holds the promising potential to offer strong technical support for future advancements in BIM technology.

In this paper, we study the following generalized Kadomtsev-Petviashvili equation ut+uxxx+(h(u))x=Dx−1Δyu,{u}_{t}+{u}_{xxx}+{\left(h\left(u))}_{x}={D}_{x}^{-1}{\Delta }_{y}u, where (t,x,y)∈R+×R×RN−1\left(t,x,y)\in {{\mathbb{R}}}^{+}\times {\mathbb{R}}\times {{\mathbb{R}}}^{N-1}, N≥2N\ge 2, Dx−1f(x,y)=∫−∞xf(s,y)ds{D}_{x}^{-1}f\left(x,y)={\int }_{-\infty }^{x}f\left(s,y){\rm{d}}s, ft=∂f∂t{f}_{t}=\frac{\partial f}{\partial t}, fx=∂f∂x{f}_{x}=\frac{\partial f}{\partial x} and Δy=∑i=1N−1∂2∂yi2{\Delta }_{y}={\sum }_{i=1}^{N-1}\frac{{\partial }^{2}}{{\partial }_{{y}_{i}}^{2}}. We get the existence of infinitely many nontrivial solutions under certain assumptions in bounded domain without Ambrosetti-Rabinowitz condition. Moreover, by using the method developed by Jeanjean [13], we establish the existence of ground state solutions in RN{{\mathbb{R}}}^{N}.

In this paper, we study the following nonlinear Hamiltonian elliptic system with gradient term

This study investigated the clinical efficacy, safety and tolerance of endostatin combined with gemcitabine and carboplatin for patients with advanced nonsmall cell lung cancer (NSCLC).

Cross section microstructure and fractography of a Auto high strength assembling bolt of 35 steel were observed by optical microscope（ OM） and electron scanning microscope（ SEM）. The hardness of the bolt was measured by HR-150A rockwell hardness tester. The fracture failure of the assembling bolt was analyzed. The results indicate that quenching and tempering treatment on the assembling bolt meet the national standard,but the strength was decreased by the quenching crack generated during quenching. The extension of quenching crack that due to the external force result in the fracture failure.

To detect the operating condition of equipment and understand the environmental management situation of enterprises in real-time, this paper studies the non-intrusive load decomposition of enterprises based on bidirectional LSTM. In this paper, we first obtain the load characteristic parameters of different equipment in different states, and then obtain the electrical power measured from the main power meter of decontamination equipment in TOP-5 through the softmax layer of bidirectional LSTM, and then change the softmax layer to decompose the load data from the main power meter.

In this paper, we introduce two different contractive conditions and prove some new fixed point theorems for cyclic (ψ,ϕ,φ)α-contractive mappings and α-(κ,φ)g-contractive mappings in complete metric-like spaces via altering distance functions. Our results generalize and extend some existing results. Moreover, some examples are given to support the obtained results.

In order to avoid creating or modifying the huge amount of finite element model of the rocket engine,application of the RBF（ radial basis function） neural network which was used to predict structural frequency of the liquid rocket engine was analyzed. A high pressure staged combustion LOX（ liquid oxygen） / kerosene rocket engine was taken as research object. By considering the material differences between the inner and outer wall of the nozzle,the precise nozzle finite element model was established using the stiffness and mass equivalence principle. Then the finite element model of staged combustion rocket engine was established using the method of distributed parameter and the finite element model was modified by modal experimental data.The difference structural parameters which were chosen according to the structural sensitivity analysis were considered as training samples. Then the RBF neural network was trained using these samples,and the structural frequency was predicted by the trained RBF neural network. The results show that the RBF neural network can predict structural frequency of the rocket engine accurately and the prediction error was less than 1. 0%. This method also has a fast convergence pace and it can be widely used in the field of the structural simulation of the rocket engine.

In this paper, we introduce a new concept of (α, φ)g-contractive type mappings and establish coupled coincidence and coupled common fixed point theorems for such mappings in partially ordered G-metric spaces. The results on fixed point theorems are generalizations of some existing results.We also give some examples to illustrate the usability of the obtained results.