Research on the Theoretical Logic and Practical Application of College Mental Health Education from the Perspective of Social Learning Theory

This paper mainly explores the theoretical logic and practical research of college mental health education from the perspective of social learning theory. The study suggests that social learning theory provides a new perspective and approach for college mental health education, and the application of this theory can promote the comprehensive development of students’ mental health. At the same time, this theory also provides guidance and support for the practice of college mental health education. By establishing a diversified and autonomous learning environment, enhancing the cooperation and coordination between school and society education, and establishing feedback and evaluation mechanisms, the effectiveness and quality of students’ learning can be improved. This study has certain reference value for the theoretical research and practical promotion of college mental health education

Research on the Role Transformation and Duty Extension of College Student Counselors

College student counselors are indispensable and important roles in the higher education system, whose responsibilities cover aspects such as psychological health services, academic guidance, career planning, and social adaptation. However, problems such as vague professional role positioning, unclear job scope, and inadequate professional image and quality level have limited the quality and effectiveness of their work. Therefore, it is necessary to explore scientific ways to transform the professional role, improve professional quality, and innovate service models, in order to expand the scope of responsibilities for college student counselors, improve their professional image and quality, and provide more comprehensive, in-depth, and personalized services and support to students, promoting their overall development

Feature analysis of multidisciplinary scientific collaboration patterns based on PNAS

The features of collaboration patterns are often considered to be different from discipline to discipline. Meanwhile, collaborating among disciplines is an obvious feature emerged in modern scientific research, which incubates several interdisciplines. The features of collaborations in and among the disciplines of biological, physical and social sciences are analyzed based on 52,803 papers published in a multidisciplinary journal PNAS during 1999 to 2013. From those data, we found similar transitivity and assortativity of collaboration patterns as well as the identical distribution type of collaborators per author and that of papers per author, namely a mixture of generalized Poisson and power-law distributions. In addition, we found that interdisciplinary research is undertaken by a considerable fraction of authors, not just those with many collaborators or those with many papers. This case study provides a window for understanding aspects of multidisciplinary and interdisciplinary collaboration patterns

Quantum Communication Network Utilizing Quadripartite Entangled States of Optical Field

We propose two types of quantum dense coding communication networks with optical continuous variables, in which a quadripartite entangled state of the optical field with totally three-party correlations of quadrature amplitudes is utilized. In the networks, the exchange of information between any two participants can be manipulated by one or two of the remaining participants. The channel capacities for a variety of communication protocols are numerically calculated. Due to the fact that the quadripartite entangled states applied in the communication systems have been successfully prepared already in the laboratory, the proposed schemes are experimentally accessible at present

Cascaded Entanglement Enhancement

We present a cascaded system consisting of three non-degenerate optical parametric amplifiers (NOPAs) for the generation and the enhancement of quantum entanglement of continuous variables. The entanglement of optical fields produced by the first NOPA is successively enhanced by the second and the third NOPAs from -5.3 $dB$ to -8.1 $dB$ below the quantum noise limit. The dependence of the enhanced entanglement on the physical parameters of the NOPAs and the reachable entanglement limitation for a given cascaded NOPA system are calculated. The calculation results are in good agreement with the experimental measurements.Comment: 5 pages, 4 figure

eRPCAe^{\text{RPCA}}: Robust Principal Component Analysis for Exponential Family Distributions

Robust Principal Component Analysis (RPCA) is a widely used method for recovering low-rank structure from data matrices corrupted by significant and sparse outliers. These corruptions may arise from occlusions, malicious tampering, or other causes for anomalies, and the joint identification of such corruptions with low-rank background is critical for process monitoring and diagnosis. However, existing RPCA methods and their extensions largely do not account for the underlying probabilistic distribution for the data matrices, which in many applications are known and can be highly non-Gaussian. We thus propose a new method called Robust Principal Component Analysis for Exponential Family distributions ($e^{\text{RPCA}}$), which can perform the desired decomposition into low-rank and sparse matrices when such a distribution falls within the exponential family. We present a novel alternating direction method of multiplier optimization algorithm for efficient $e^{\text{RPCA}}$ decomposition. The effectiveness of $e^{\text{RPCA}}$ is then demonstrated in two applications: the first for steel sheet defect detection, and the second for crime activity monitoring in the Atlanta metropolitan area