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The Impact of the Shanghai Cooperation Organisation on the Development of the Silk Road Economic Belt
No full textThe Shanghai Cooperation Organisation (SCO) is an international organization established in 2001, with the aim of fostering cooperation among member countries to combat "three evils"(terrorism, extremism, separatism) and contribute to maintaining peace and stability in the region. Geographically, the core region of the SCO, Central Asia, is strategically located in the heart of the Eurasian continent. Moreover, the areas where SCO member countries are situated exhibit overlap and similarities with the development regions of the "Silk Road Economic Belt."
This thesis explores whether the creation of " China-SCO local economic and trade cooperation demonstration area", that integrate the SCO with the "Silk Road Economic Belt", has positive effects and what risks are involved in a geopolitical perspective. Through this analysis, the author exames the impact of the SCO's initiatives on the promotion of the "Silk Road Economic Belt.
The Prediction of Bitcoin Price and The Decision to Sell Seizured Bitcoin in Criminal Procedure
No full textFrom the perspective of asset management, this article explores how law enforcement agencies can use models to predict the price trend of Bitcoin and detect structural change points of return after seizing Bitcoin in criminal procedure, as a reference for selling decisions. Due to the anonymity and decentralization of Bitcoin transactions, law enforcement agencies may not be able to discover the true identity of traders through transaction record tracking. Therefore, Bitcoin has a certain ability to confront the country\ue2s financial supervision and criminal investigation. After its advent, it soon became popular on the dark web, which is full of criminal activities, and became the currency of illegal transactions. Today, cryptocurrency criminal activities are becoming increasingly rampant. Common crime types include: child abuse material, ransomware, stolen funds, cybercriminal administrator, terrrorism financing, scam, fraud shop, darknet market etc. The amount of illegal crimes is increasing year by year. As a result, the number of Bitcoins seized by law enforcement agencies has also increased. From the perspective of asset management, due to the violent price fluctuations of Bitcoin, how law enforcement agencies choose the appropriate time to sell after seizing Bitcoin is an important issue in making price change decisions; especially if a Bitcoin price crisis is detected, law enforcement agencies should promptly sell Bitcoins and keep fiat money instead to avoid significant losses in asset prices. This study collates and analyzes various Bitcoin price prediction models used in domestic literature. In two specific cases, the long short-term memory model is used to predict price trends and the Bayesian change point analysis model is used to detect structural changes. The results were empirically compared with the historical price of Bitcoin. The empirical results show that using the long short-term memory model to predict the price trend of Bitcoin in the next 45 days and using the Bayesian change point analysis model to detect structural change points in Bitcoin returns have a certain degree of effectiveness. The accuracy is of reference value for making Bitcoin price changes decisions
Not all MBA students are the same\ue2Exploring the identity transition of MBA students
No full textUniversities, in order to help students establishing a career after graduation, provide specific paths and activities to help students shape their professional identity. However, there is a need to examine the motivations, experiences, and results of MBA students. Using a naturalistic inquiry approach, eight students from the Institute of Business Administration at National Sun Yat-sen University were selected as participants through purposive sampling and were individually interviewed for about 20 to 30 minutes. The findings revealed that MBA students undergo three stages in shaping their professional identities. Furthermore, three distinct student types are identified based on their motivations and characteristics. Finally, the study provides recommendations for stakeholders in MBA education
The Music Material of Edward MacDowell\ue2s Piano Pieces in His Late Period
No full textComposers use materials to express emotions and convey ideas. Analyzing the use of materials can intuitively feel the composer's thought, and help performers to achieve a deeper understanding of interpretation. Edward Alexander MacDowell (1860-1908) meant to create music with American characteristics, so he used local folk songs, literature, and natural scenery as materials in his music. Because of his studies in Germany and France, he has used Romanticism and Impressionism techniques in his compositions.
This thesis will analyze the materials of four piano pieces in MacDowell's late period, Woodland Sketches, Op. 51, Sea Pieces, Op. 55, Fireside tales, Op. 61, and New England Idylls, Op. 62, and to investigate his use of folk music, the integration of literature, and the depiction of nature
Exploring the Influence of the Cute Type of Intellectual Property and Ad Messages on the Advertising Effect\uef\ubcUsing the Advertising Color as the Moderating Variable
No full textIn recent years, it has been discovered that there is a significant correlation between the message that graphic and textual character IP need to convey in advertisements and how the audience interprets the message of the advertisement. Furthermore, in addition to the common use of advertising color in advertisements, there are also many ads that primarily use black and white colors. Therefore, this study believes that the advertising color of advertisements is crucial to both the character IP and ad messages. If the presentation of color and black-and-white colors advertisements is extended to consumers' evaluation of different types of character IP and ad messages, it will help brands to be more flexible in their selection and design.Through experimental design, the study aims to verify whether the inclusion of different cute elements and different ad messages in advertisements, when combined with different advertising color, will result in better fluency and evaluations from the advertising audience.
This study was conducted using an experimental method. Experiment one employed a 2 (cute type : baby cute vs. quirky cute) x 2 (ad messages : assertive vs. non-assertive) factorial between-subjects design. Experiment two utilized a 2 (cute type : baby cute vs. quirky cute) x 2 (ad messages : assertive vs. non-assertive) x 2 (advertising color : color vs. black and white) three-factor between-subjects design. The research findings indicate that the second-order fit between the cute type and the ad messages has no significant impact on processing fluency, regardless of whether it is baby cute or quirky cute, assertive or non-assertive, and the addition of color or black and white. Furthermore, it does not affect advertising effectiveness through processing fluency. However, the second-order fit between the cute type and the ad messages significantly affects advertising effectiveness. Specifically, using quirky cute with a assertive in the advertisement generates higher advertising effectiveness. Additionally, the third-order fit between the cute type, ad messages, and advertising color has a significant impact on processing fluency and advertising effectiveness. For instance, using quirky cute with a assertive and presenting it in color in the advertisement results in higher processing fluency and advertising effectiveness. The same applies to using baby cute with a ad messages and presenting it in color. Therefore, these research results can further contribute to academic research on the cute type,ad messages, and advertising color, providing assistance for subsequent studies
The Development of the Dissertations and Theses in Relation to STEAM Education in Taiwan: Retrospect and Analysis
No full textThis study analyzes 219 doctoral dissertations and MA theses completed in Taiwan between 2008 and 2022 in the field of STEAM education. It explores the themes of STEAM pedagogical research and investigates how teachers integrate STEAM curricula into their teaching. By analyzing these theses, this study aims to gain a deeper understanding of the development of STEAM education research in Taiwan, changing research themes, and advancing research methods.
Through the analysis of these theses, we explored the themes of STEAM teaching research and the ways in which teachers integrate STEAM courses in teaching practice. Research results show that the number of STEAM education thesis has gradually increased and exceeded STEM education in 2018. These studies mainly focus on normal universities and education system universities, and the keywords mainly involve STEAM education, curriculum and teaching-related content. The research subjects are mainly primary and secondary school students. The research purpose focuses on the student learning level and the teacher teaching level. Living technology is a common subject unit. In terms of research methods, most of them use quasi-experimental research methods and action research methods. Theses on teaching models mainly adopt the 6E teaching model and the project-based learning model. The research theme is mainly based on empirical teaching, and incorporates Art elements to cultivate beautification and aesthetic literacy. The teaching implementation is mainly based on school curriculum. Although the assessment methods are diverse, the spirit of STEAM is not clearly grasped. In the integrated model, connection and interdisciplinarity are the main ones, with transdisciplinarity as a supplement, while integration and multi-discipline are relatively rare. In addition, teaching methods that use teacher-guided inquiry or design are relatively common, and there are also a certain number of theses that use teacher-led instruction. The number of theses that use student-led inquiry or design is the smallest, indicating that some teachers still do not fully understand and apply it. The core concept of STEAM education deserves further improvement. Finally, this study also provides criticism and analysis of some more important research projects, hoping to gain a more comprehensive understanding of STEAM research and practice in order to promote the development of STEAM education
The Same Failure But Different Compensations: A Comparison between Different Food Delivery Platforms
No full textIn the era of rapid internet growth, food delivery platform competition has sharply increased. Users now effortlessly receive meals at home via mobile apps, avoiding queues at physical stores. Yet, as delivery service use rises, so do service failures. This study, from a psychological standpoint, explores the impact of varying service failure severities and organizational compensations on consumer expectation uncertainty, relative deprivation, perceived fairness, and positive emotions. It also examines their effect on negative word-of-mouth, brand attitude, and repurchase intentions.
The research utilized a 2x2 factorial design, focusing on process and outcome failures, and high and low compensation levels, analyzing 220 valid questionnaires with a structural equation model.
Results indicate expectation uncertainty lowers perceived fairness and positivity.
Perceived fairness boosts positive emotions, while relative deprivation has the opposite effect. Positive emotions, in turn, mitigate negative word-of-mouth and enhance brand attitude and loyalty. Notably, outcome and process failures differently affect expectation uncertainty, as do types of compensation on relative deprivation.
In conclusion, delivery services should manage expectations, ensure fair compensation, and consider relative deprivation to maintain brand integrity and customer loyalty in face of service failures
Exploring the Effect of the Buy Now Pay Later on Impulse Buying.
No full textWith the changes in this era, paperless payment methods have become increasingly inseparable from popular consumer patterns and relationships. E-commerce, technology, and financial companies have also launched a new type of payment method, the Buy Now Pay Later (BNPL) model. Unlike traditional payment methods in the past, under the BNPL model, consumers can first obtain the goods and then choose to pay in whole or in installments later.
Based on previous literature on payment methods, it has been found that consumers exhibit significant differences in psychological and behavioral responses when using different payment methods to pay for the same amount of goods. The transparency of the payment method and the payment satisfaction impact impulse buying behavior. Generation Z's consumption patterns and impulsive purchasing behavior are somewhat positively correlated. Therefore, this study chose to investigate the recently widely discussed BNPL payment method in conjunction with whimsical consumption patterns to explore whether the BNPL payment method leads to impulsive purchasing behavior among consumers.
This study plans to obtain relevant data through a questionnaire and conduct descriptive analysis, two-factor and one-factor analysis of variance, and second-order regression analysis using IBM SPSS and SmartPLS statistical tools to analyze the effects of the BNPL method on Impulse Buying behavior
Seasonal Variations of Chemical Characteristics in Fine Particles in Kaohsiung Xiaogang Linhai Industrial
No full textThe air quality in the Kaohsiung area is influenced by heavy industries and topo-graphical factors that trap pollutants due to lower inversion layers. During high pollutionseasons, particularly in the winter,PM2.5concentrations often exceed air quality standards(35 \uce\ubcg/m3). Therefore, this study was conducted from April 2022 to January 2023 inthe Kaohsiung coastal industrial zone and surrounding areas, with a total of nine sam-pling points for day and night PM2.5sampling. Subsequent chemical composition analysis(water-soluble ions, organic acids) aimed to understand variations in chemical composi-tion and major contributors in different regions.
Additionally, the study employed Principal Components Analysis (PCA) and Hier-archical Cluster Analysis (HCA) to explore spatial distribution differences in different seasons.
The results indicated that the Kaohsiung coastal industrial zone had high PM2.5 con-centrations, particularly in winter and spring, influenced by urban activities carried bynorthwest winds and poor dispersion conditions. Water-soluble ion components exhib-ited similar trends to PM2.5 concentrations, with a mass fraction in PM2.5 ranging from11% to 77%, indicating a majority presence of water-soluble ions, particularly secondary
inorganic aerosols.
During the sampling period, organic acids such as oxalic acid, succinic acid, malonicacid, acetic acid, and formic acid were predominant. The ratio of malonic acid to suc-cinic acid and acetic acid to formic acid indicated that Kaohsiung was primarily affected by secondary aerosols and traffic pollution, especially in autumn, winter, and spring. Fur-thermore, the mass ratio (%) of oxalic acid to sulfate revealed that the Kaohsiung industrial zone was mainly affected by secondary inorganic photochemical derivatives, with higher proportions during nighttime.
Using indicators such as Sulfur Oxidation Ratio (SOR), Nitrogen Oxidation Ratio(NOR), and Neutralization Ratio (NR), the study found that NR values were consistently below 1 throughout the four seasons, indicating a predominantly acidic nature of atmo-spheric aerosols. SOR and NOR values, particularly in spring, autumn, and winter, mostly exceeded 0.25 and 0.1, respectively, suggesting a significant impact of secondary aerosols
on air quality deterioration in these seasons.
Principal Components Analysis (PCA) and Hierarchical Cluster Analysis (HCA) re-vealed that in the Kaohsiung coastal industrial zone, secondary aerosols, traffic emissions,industrial emissions, marine spray, and fugitive dust were the main sources. During au-tumn, winter, and spring, traffic transportation and secondary derivatives were the maincontributors, while pollution was relatively lower in summer due to favorable dispersion conditions
Unified Hardware Architecture of High-Performance Triple-Mode Linear Regression Chip
No full textTechnological advancements have been continuously improving people's lives. In recent years, AI-related technologies have developed rapidly, and machine learning and deep learning have been widely applied in various fields. Common applications include image recognition, voice recognition, disease detection, and self-driving car systems. These applications use real-time collected big data for prediction and analysis. High-performance chips play a key role in providing the necessary computing power.
With the advancement of technology and 5G, IoT applications are expanding rapidly. From wearables to smart homes to healthcare and connected cars, these applications are changing our lives and work. They require real-time data processing and analysis, which makes edge computing important. On-device machine learning chips are becoming necessary to meet the demand for real-time training and classification. This trend will be more cost-effective. This paper proposes a general-purpose hardware architecture design for a high-performance three-mode linear regression chip, which achieves a complete hardware training and classification solution.
This paper proposes three techniques to improve machine learning training efficiency. (1) Filter training data by judging its importance. (2) Adjust the training process for different datasets with parameter selection and hardware design. (3) Reduce the number of features and remove outliers to further reduce training difficulty. These techniques achieve a highly efficient machine learning training method