Abstract
Historic cities serve as a crucial historical–cultural cornerstone within urban settings, and fostering its sustainable vitality has emerged as a focal point in urban research. Multisource ...data have advanced large-scale vitality research. Despite keen interest in the nexus between urban vitality and the built environment, the spatiotemporal intricacies influencing street vitality in smaller urban settings like ancient city are underexplored. To fill this gap, we use Chaozhou ancient cities as a case study to examine the relationship between street vitality and the built environment. Leveraging Jacobs’ urban vitality theory and the 5D system, this study develops initial tools to understand ancient city vitality, focusing on density, diversity, accessibility, and the streets’ spatial characteristics. Subsequently, employing a geographically and temporally weighted regression model, we delve into the spatiotemporal heterogeneity of vitality and the built environment. The research findings indicate that: (1) the association between street vitality and the built environment in historic cities exhibits dynamic variations over time and space. The impact of different built environment indicators on the vitality of the streets varies in intensity across different periods and areas. (2) Density and diversity play contrasting multifaceted and limited roles in enhancing the vitality of ancient cities. Accessibility's role in traffic attraction and navigability significantly sways vitality. The temporal nonstationary of street space characteristics is particularly pronounced. (3) The density of aged buildings, diversity of building ages, sky view ratio, and green view ratio generally show a negative correlation with the vitality of ancient cities across time and space.
Detection of supernova relic neutrinos could provide key support for our current understanding of stellar and cosmological evolution, and precise measurements of these neutrinos could yield novel ...insights into the universe. In this paper, we studied the detection potential of supernova relic neutrinos using linear alkyl benzene (LAB) as a slow liquid scintillator. The linear alkyl benzene features good separation of Cherenkov and scintillation lights, thereby providing a new route for particle identification. We further addressed key issues in current experiments, including (1) the charged current background of atmospheric neutrinos in water Cherenkov detectors and (2) the neutral current background of atmospheric neutrinos in typical liquid scintillator detectors. A kiloton-scale LAB detector at Jinping with O(10) years of data could discover supernova relic neutrinos with a sensitivity comparable to that of large-volume water Cherenkov detectors, typical liquid scintillator detectors, and liquid argon detectors.
Constructing variable coefficient super integrable equation hierarchy is an important problem in soliton theory. In this letter, new Lax pairs with some arbitrary functions are proposed and a ...variable coefficient integrable coupling of super AKNS hierarchy is generated. The super Hamiltonian structures of variable coefficient coupling equation hierarchy is derived with the aid of the super trace identity. Furthermore, the self‐consistent sources of variable coefficient super integrable coupling hierarchy are established. It is indicated that this method is an efficient way to construct the variable coefficient super integrable equation hierarchy.
The imaging device is susceptible to factors such as the subject or the shooting environment when imaging, and complex variable blurring occurs in the final imaging. In most cases, we not only do not ...have the conditions to re-shoot a clear image but also do not know the specific parameters of the variable blur in advance. Therefore, the purpose of this study is to propose a motion blur fuzzy blind removal algorithm for character images based on gradient domain and depth learning. Deep learning is to learn the inherent laws and representation levels of sample data, and the information obtained during these learning processes is of great help to the interpretation of data such as text, images, and sounds. The algorithm used in this study is to preprocess the image by using guided filtering and L0 filtering and send the preprocessed gradient domain image block to the designed convolutional neural network for training. Extract the trained model parameters and realize the fuzzy kernel estimation and image. Image deblurring is performed using the TV regular term during image restoration. The experiment proves that the algorithm can effectively suppress the ringing effect and reduce the noise, and the motion blur effect is better. In this study, the MLP method, the edge detection method, and the proposed method are discussed, respectively. The PSNR values of the three motion blur removal methods are 26.49, 27.51, and 29.18, respectively. It can be seen that the motion blur removal method proposed in this study can effectively remove image motion blur.
Abstract
This paper takes the intelligent water level recognition instrument of Qingming Shanghe Park in Kaifeng as the experimental object, introduces the algorithm of strong edge and sparse ...constraint into the intelligent water level recognition instrument, and compares the recognition effect of the intelligent water level recognition instrument before and after the introduction of strong edge and sparse constraint algorithms. The results showed that the clarity value was approximately 10% higher, and the recognition speed was also significantly improved. The improvement of recognition speed can effectively promote the work efficiency of the whole method. Strong edges and sparse constraints can effectively improve the accuracy of water level identification, provide scientific and effective data and information for subsequent water resource management, and meet the needs of water resource managers to effectively grasp the law of water level. This can provide technical support for identification methods in other fields, and the ultimate goal is to promote the protection and management of water resources and reduce the harm of natural disasters on people.
In this paper, a type of superhydrophobic cotton textile was designed and prepared. Particularly, it was obtained by coating a type of acrylic‐silicone hybrid resin onto the cotton fabric. With ...self‐stratifying character, the cured coating can be formed into two layers, in which the acrylic component in the bottom layer enables polar bond or hydrogen bond linkage with cellulose molecules on the fiber surface, while the amino silicone oil resin on the surface layer acts as a functional part and adds new surface features to the cotton fabric. As a result, the coated cotton fabric displayed superhydrophobicity, with a water contact angle above 150° and a rolling angle less than 8°. The experimental findings indicated that the fabricated textile had adequate mechanical strength to withstand sandpaper abrasion for 20‐cycles abrasion by pressing a constant load of 500 g. Additionally, the modified textiles exhibited stable oil–water separation abilities, therefore showing multifunctional properties that have potential applications in many cotton textile surface treatments.
We study the complex Sharma–Tasso–Olver equation using the Riemann–Hilbert approach. The associated Riemann–Hilbert problem for this integrable equation can be naturally constructed by considering ...the spectral problem of the Lax pair. Subsequently, in the case that the Riemann–Hilbert problem is irregular, the
N
-soliton solutions of the equation can be deduced. In addition, the three-dimensional graphic of the soliton solutions and wave propagation image are graphically depicted and further discussed.
LncRNA (long non-coding RNA) and mRNA form a competitive endogenous RNA (ceRNA) network by competitively binding to common miRNAs. This network regulates various processes of plant growth and ...development at the post-transcriptional level. Somatic embryogenesis is an effective means of plant virus-free rapid propagation, germplasm conservation, and genetic improvement, which is also a typical process to study the ceRNA regulatory network during cell development. Garlic is a typical asexual reproductive vegetable. Somatic cell culture is an effective means of virus-free rapid propagation in garlic. However, the ceRNA regulatory network of somatic embryogenesis remains unclear in garlic. In order to clarify the regulatory role of the ceRNA network in garlic somatic embryogenesis, we constructed lncRNA and miRNA libraries of four important stages (explant stage: EX; callus stage: AC; embryogenic callus stage: EC; globular embryo stage: GE) in the somatic embryogenesis of garlic. It was found that 44 lncRNAs could be used as precursors of 34 miRNAs, 1511 lncRNAs were predicted to be potential targets of 144 miRNAs, and 45 lncRNAs could be used as eTMs of 29 miRNAs. By constructing a ceRNA network with miRNA as the core, 144 miRNAs may bind to 1511 lncRNAs and 12,208 mRNAs. In the DE lncRNA-DE miRNA-DE mRNA network of adjacent stages of somatic embryo development (EX-VS-CA, CA-VS-EC, EC-VS-GE), by KEGG enrichment of adjacent stage DE mRNA, plant hormone signal transduction, butyric acid metabolism, and C5-branched dibasic acid metabolism were significantly enriched during somatic embryogenesis. Since plant hormones play an important role in somatic embryogenesis, further analysis of plant hormone signal transduction pathways revealed that the auxin pathway-related ceRNA network (lncRNAs-miR393s-
) may play a role in the whole stage of somatic embryogenesis. Further verification by RT-qPCR revealed that the lncRNA125175-miR393h-
network plays a major role in the network and may affect the occurrence of somatic embryos by regulating the auxin signaling pathway and changing the sensitivity of cells to auxin. Our results lay the foundation for studying the role of the ceRNA network in the somatic embryogenesis of garlic.
In recent years, unmanned aerial vehicle (UAV) ad-hoc networks have achieved rapid development due to their autonomy and high reliability. Typically, clustering is widely adopted to reduce the ...degradation of network performance in large-scale UAV networks. However, due to the limited channel resources and complex communication environment, it becomes challenging to obtain complete information needed for clustering from remote nodes. In addition, the high dimension and non-linear relationships of data also make large-scale clustering diffcult. Therefore, in this paper, we propose a noval distributed clustering scheme. First, a matrix factorization (MF) based time series algorithm is proposed to predict and complement the incomplete information. Second, we adopt deep autoencoder to wisely incorporate the non-linear relationship of information needed for clustering. Finally we extract features as input to k-means to obtain clustering results. Simulation results demonstrate the effectiveness of the proposed clustering scheme.
The scroll paintings for ancestor trees have been used to inherit the spirit of ancestor worship as a historical record of family development since the late Ming Dynasty in China. A severely degraded ...scroll painting of an ancestor tree (made of cotton textiles) needs intervention and conservation treatment to mitigate further deterioration. On the basis of the previously reported characterization results for the painting, in this paper, a suspension that is composed of 0.6% cellulose nanofibril (CNF) and nanosized 0.15% MgO in aqueous solvent (denoted as the CNF-MgO susairpension) was prepared. Conventional characterization methods were used to assess the properties of model samples before and after treatment with the CNF-MgO suspension, as well as before and after degradation under two sets of conditions. The results show that the treated model samples are slightly alkaline, given the deposit of alkaline particles, and demonstrate good mechanical properties before and after degradation due to the increase in fiber-to-fiber bond and mitigation of acid-catalyzed hydrolysis. In spite of the non-transparency of CNF and MgO nanoparticles, they have little impact on the optical properties of textiles, as verified by transmittance data and the determination of color changes. This suspension was then used to reinforce and restore the scroll painting in a practical conservation process. The application of CNF and MgO nanoparticles on textile objects investigated in this study would expand our understanding of the conservation of such objects, especially for those that have already become acidic and degraded.
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