A study of stone carving workers in Tang Dynasty -- taking Shao Jianhe and Shao Jianchu as examples

The Tang Dynasty was a period of extreme prosperity of stone carving culture in Chinese history. In this period, stone carving was rich in content and huge in volume, and a large number of classic stone inscription calligraphy works emerged. This paper first studies the background of the development of stone carving in the Tang Dynasty and the general situation of the carving groups in the Tang Dynasty, then further explores the carving business of Shao's family, and finally analyzes the relationship between calligraphers and carving workers by taking the Shao Brothers and Liu Gongquan as examples. This paper aims to further enhance the status of this group in the history of Chinese calligraphy through the analysis and study of the individual cases of the Tang Dynasty carving group, and affirm the contribution of this group in the history of Chinese calligraphy

Status and Countermeasures of Art Education in Primary and Secondary Schools in Ethnic Minority Areas

Fine art is a crucial discipline within the field of aesthetics, and fine art education serves as a significant component of aesthetic education. It holds great importance in providing a comprehensive education and fostering the holistic development and well-being of primary and secondary school students. The deficiency in fine art education within primary and secondary schools located in ethnic minority areas necessitates that teachers acknowledge these gaps, analyze their underlying causes, and explore effective measures to promote its development. Revitalizing fine art education is both the mission and responsibility of schools and teachers, as well as a shared aspiration of all sectors of society. In order to achieve this, teachers must enhance their ideological awareness, innovate institutional mechanisms, foster integration and collaboration, and prioritize and strengthen fine art education. Furthermore, it is essential to identify gaps, address deficiencies, increase investment in education, and expand access to high-quality resources. Leveraging the cultural characteristics of ethnic minorities, schools should develop curriculum that is tailored to their specific needs. Additionally, efforts should be made to enrich the teaching force and elevate teaching standards, including forging partnerships with local universities to enhance the professionalism of fine art teachers and strengthen the collective capacity.This study focuses on the current state of fine art education in primary and secondary schools within the Enshi Grand Canyon Scenic Area Administration in Enshi City, Tujia and Miao Autonomous Prefecture, Hubei Province. By utilizing interviews and documentary analysis, the author examines and dissects a primary and secondary school located in a remote town. The aim is to reflect upon and analyze the existing conditions and challenges of fine art education in primary and secondary schools within ethnic minority areas, explore novel ideas in fine art education, and propose measures for improvement and advancement

Entanglement-guided architectures of machine learning by quantum tensor network

It is a fundamental, but still elusive question whether the schemes based on quantum mechanics, in particular on quantum entanglement, can be used for classical information processing and machine learning. Even partial answer to this question would bring important insights to both fields of machine learning and quantum mechanics. In this work, we implement simple numerical experiments, related to pattern/images classification, in which we represent the classifiers by many-qubit quantum states written in the matrix product states (MPS). Classical machine learning algorithm is applied to these quantum states to learn the classical data. We explicitly show how quantum entanglement (i.e., single-site and bipartite entanglement) can emerge in such represented images. Entanglement characterizes here the importance of data, and such information are practically used to guide the architecture of MPS, and improve the efficiency. The number of needed qubits can be reduced to less than 1/10 of the original number, which is within the access of the state-of-the-art quantum computers. We expect such numerical experiments could open new paths in charactering classical machine learning algorithms, and at the same time shed lights on the generic quantum simulations/computations of machine learning tasks.Comment: 10 pages, 5 figure

Mira Variable Stars From LAMOST DR4 Data: Emission Features, Temperature Types, and Candidate Selection

Based on an extensive spectral study of a photometrically confirmed sample of Mira variables, we find a relationship between relative Balmer emission-line strength and spectral temperature of O-rich Mira stars. The $F_{\rm H\delta}/F_{\rm H\gamma}$ flux ratio increases from less than unity to five as stars cool down from M0 to M10, which is likely driven by increasing TiO absorption above the deepest shock-emitting regions. We also discuss the relationship between the equivalent widths of the Balmer emission lines and the photometric luminosity phase of our Mira sample stars. Using our 291 Mira spectra as templates for reference, 191 Mira candidates are newly identified from the LAMOST DR4 catalog. We summarize the criteria adopted to select Mira candidates based on emission-line indices and molecular absorption bands. This enlarged spectral sample of Mira variables has the potential to contribute significantly to our knowledge of the optical properties of Mira stars and will facilitate further studies of these late-type, long-period variables.Comment: 21 pages; ApJS, in pres

TS3IM: Unveiling Structural Similarity in Time Series through Image Similarity Assessment Insights

In the realm of time series analysis, accurately measuring similarity is crucial for applications such as forecasting, anomaly detection, and clustering. However, existing metrics often fail to capture the complex, multidimensional nature of time series data, limiting their effectiveness and application. This paper introduces the Structured Similarity Index Measure for Time Series (TS3IM), a novel approach inspired by the success of the Structural Similarity Index Measure (SSIM) in image analysis, tailored to address these limitations by assessing structural similarity in time series. TS3IM evaluates multiple dimensions of similarity-trend, variability, and structural integrity-offering a more nuanced and comprehensive measure. This metric represents a significant leap forward, providing a robust tool for analyzing temporal data and offering more accurate and comprehensive sequence analysis and decision support in fields such as monitoring power consumption, analyzing traffic flow, and adversarial recognition. Our extensive experimental results also show that compared with traditional methods that rely heavily on computational correlation, TS3IM is 1.87 times more similar to Dynamic Time Warping (DTW) in evaluation results and improves by more than 50% in adversarial recognition.Comment: 6 pages, 6 figure

The Analysis of the Causes of Willy’s Death in Arthur Miller’s Death of a Salesman

Death of a Salesman is a classic tragic work in contemporary America.  It discusses some social factors in Willy Loman’s death, such as the influence of the American Dream and the Great Depression. It also makes a detailed study on the flaws in the character of Willy Loman, some of which contribute to his own death, such as his misguided social values and his twisted relationship with his family. The paper aims at a further study on Willy Loman’s death and to put forward the author’s view on various causes of his death. Then it concludes that Willy’s death is the result of American society and his own character defect

The role of shared randomness in quantum state certification with unentangled measurements

Given $n$ copies of an unknown quantum state $\rho\in\mathbb{C}^{d\times d}$, quantum state certification is the task of determining whether $\rho=\rho_0$ or $\|\rho-\rho_0\|_1>\varepsilon$, where $\rho_0$ is a known reference state. We study quantum state certification using unentangled quantum measurements, namely measurements which operate only on one copy of $\rho$ at a time. When there is a common source of shared randomness available and the unentangled measurements are chosen based on this randomness, prior work has shown that $\Theta(d^{3/2}/\varepsilon^2)$ copies are necessary and sufficient. This holds even when the measurements are allowed to be chosen adaptively. We consider deterministic measurement schemes (as opposed to randomized) and demonstrate that ${\Theta}(d^2/\varepsilon^2)$ copies are necessary and sufficient for state certification. This shows a separation between algorithms with and without shared randomness. We develop a unified lower bound framework for both fixed and randomized measurements, under the same theoretical framework that relates the hardness of testing to the well-established L\"uders rule. More precisely, we obtain lower bounds for randomized and fixed schemes as a function of the eigenvalues of the L\"uders channel which characterizes one possible post-measurement state transformation.Comment: 29 pages, 2 tables. Comments welcom