Advances in Social Behavior Research
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  • Open Access | Article 2024-04-29 Doi: 10.54254/2753-7102/7/2024054

    Rapid Rhythm and Overambitious Objectives: The Dual Mismatch in Japan's Rising Process

    On August 15, 1945, Japanese Foreign Minister Mamoru Shigemitsu signed the instrument of surrender, marking Japan's formal capitulation to the Allied forces. This surrender signaled the defeat of the Axis powers and effectively halted Japan's rising trajectory. Grounded in positional realism and the theory of strategic rhythm, this paper introduces a novel analytical framework to examine the discrepancies between strategic objectives and rhythm in Japan's rising process. Subsequently, the paper chronologically reviews Japan's historical ascent, utilizing this analytical lens to assess the alignment between Japan's early, middle, and late-stage strategic objectives with its comprehensive capabilities, as well as the congruence between objectives and strategic rhythm. The analysis suggests that Japan initially maintained a strategic equilibrium with appropriate objectives and rhythm. However, discrepancies emerged in the middle period between strategic objectives and rhythm, escalating to a misalignment between objectives and comprehensive capabilities in the later stages. This confluence of misalignments culminated in a "dual mismatch," ultimately interrupting Japan's rise.

  • Open Access | Article 2024-04-29 Doi: 10.54254/2753-7102/7/2024056

    Research on the Current Situation and Strategies of Street Dance Elective Courses at Ningxia University

    This paper takes the street dance elective courses at Ningxia University as the research object. By employing questionnaire surveys, interviews, and logical analysis methods, this paper analyzes the current situation of street dance elective course teaching at Ningxia University. The research concludes the following points: 1. Students have a high interest in street dance. 2. There is a shortage of teaching staff. 3. Some students find it difficult to learn course content. Based on these findings, the following suggestions are proposed: 1. Further strengthen the campus promotion of street dance culture. 2. Enhance teaching staff capacity. 3. Adopt non-traditional teaching methods with a focus on fundamental training.

  • Open Access | Article 2024-04-29 Doi: 10.54254/2753-7102/7/2024053

    Analysis and Prediction of Students' Adaptation to Online Education Systems Based on Data Analysis and Decision Tree Machine Learning Algorithms

    In today's digital age, the popularity and development of online education systems provide students with more flexible and convenient ways of learning. However, students' adaptation to the online education system is affected by a variety of factors, including gender, age, educational background, and field of specialisation. Through in-depth analyses and studies of these factors, the following conclusions can be drawn: gender has little influence on students' adaptation to online education, and male and female students perform similarly overall, but the proportion of male students at high adaptation levels is significantly higher than that of females. The majority of students show medium adaptability, indicating that the overall effect of online education is average. students in the age groups of 6-10, 16-20 and 26-30 years old have lower adaptability levels, and there are more low adaptability groups among students in colleges and universities. students majoring in IT are more adapted to the online education system, and students not majoring in IT have relatively poorer adaptability level. Local students are more adaptable to online education than foreign students. In areas with unstable electricity, students' adaptability is usually lower. The decision tree algorithm predictions showed good overall model accuracy, with higher prediction accuracy for students with high, low and medium levels of adaptability. The test set accuracy was 93.27%, and the precision and recall were both 93.33%, indicating excellent model predictions. In summary, by deeply analysing the influence of various factors on students' adaptation degree to online education and using the random forest algorithm to make predictions, it can provide an important reference for improving the effectiveness of online education systems and provide useful insights for personalised education.

  • Open Access | Article 2024-04-29 Doi: 10.54254/2753-7102/7/2024055

    Assessing the Causal Effect of Special Education Services on Math Achievement: A Causal Inference and Machine Learning Study

    This study aims to assess the Average Treatment Effect (ATE) of receiving special education services on revised Item Response Theory (IRT) scaled math achievement test scores. By employing a methodological repertoire comprising linear regression with ordinary least squares (OLS), propensity score matching (PSM), Bayesian Additive Regression Trees (BART), and Multilayer Perceptron (MLP), we examine the impact of these interventions. Leveraging data from the Early Childhood Longitudinal Study Kindergarten 2010-11 cohort (ECLS-K:2011), we systematically analyze the ATE of special education services on students' math achievement. The results show that all models yield negative ATE results, suggesting a deleterious effect of special education services on fifth-grade math scores. Furthermore, we employ Principal Component Analysis (PCA) to corroborate these findings, aligning with outcomes obtained from causal inference and Machine Learning (ML) based methods. This research emphasizes the importance of method diversity in educational research and highlights the need for assessments of intervention effectiveness to help educational practices and policies.

  • Open Access | Article 2024-03-28 Doi: 10.54254/2753-7102/7/2024049

    Application of music therapy during the COVID-19

    The sudden attack of the new crown pneumonia epidemic, the rapid spread of the virus, has caused a severe impact on the psychology of medical staff, patients and ordinary people. In order to reduce the negative impact of the epidemic on the people's psychology, China has begun to provide professional music mental health services for different groups of people to reduce the psychological harm caused by the epidemic. Chinese music therapists actively participated in epidemic prevention operations and launched a number of "fighting the epidemic-psychological assistance for music therapy" programs. According to people's emotional and psychological adjustment needs during the epidemic, the project carried out music psychological public welfare activities for various key groups. Activities include music listening, music relaxation, music imagination, music painting, song discussion, song lyrics, body rhythm, etc., from listening and experiencing music to participating music interaction and other rich group music psychological activities. Through music experience and interaction, the activity relieves negative emotions such as anxiety and depression, increases positive and pleasant emotions, promotes communication and interaction among participants, reduces loneliness caused by isolation, and promotes family harmony.

  • Open Access | Article 2024-03-28 Doi: 10.54254/2753-7102/7/2024050

    On the International Law Issues of Crimean Public Investment in Russia

    On March 16, 2014, Crimea held a referendum to leave Ukraine as part of the Russian Federation. The referendum is a legal procedure used by the people of a region when applying the principle of national self-determination, while the public investment in Crimea involves national sovereignty and territorial integrity. So, when the principle of national self-determination and territorial integrity conflict, does the referendum comply with international law and be recognized? Crimea and public investment in Russia are the case of "foreign self-determination". This paper analyzes the applicable conditions of "foreign self-determination" and the situation of the Crimean people's exercise of the right of national self-determination, and makes specific judgments on the legitimacy of Crimea and public investment in Russia.

  • Open Access | Article 2024-03-28 Doi: 10.54254/2753-7102/7/2024051

    The Effect of Income on Depression in Old Age-Empirical Analysis Based on CHARLS 2020

    The study examines the impact of income on depression levels among individuals aged 60 and older using data from the China Health and Retirement Longitudinal Study (CHARLS) 2020. It found a correlation between income and depression, but the regression analysis did not show statistical significance. Higher levels of depression were associated with marriage and self-rated physical health, while lower levels were associated with gender, education level, and place of living. The research suggests a "four-in-one" synergistic process to improve the mental health and well-being of the elderly.

  • Open Access | Article 2024-03-28 Doi: 10.54254/2753-7102/7/2024052

    Exploring Self-Construction of the American International Image: A Conceptual Metaphor Perspective

    While press releases and cultural transmission materials are common materials for understanding a country's self-construction of international images, to what extent the speeches at international conferences are effective in shaping national images is yet to explore from a perspective of cognitive linguistics? The present study compiles the minutes of 26 meetings of the United Nations Security Council on “the situation in the Middle East, including the Palestinian issue”, from which the speeches by U.S. representatives were selected to establish a corpus, and explores the self-construction of the American international image with conceptual metaphor theory. It is found that JOURNEY metaphor, BUILDING metaphor and so on are instrumental in shaping its image of advocating peace, but SEED metaphor and NEIGHBOR metaphor, etc. reveal its intention to perpetuate the conflict and double standards in dealing with the two conflicting parties.

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