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Apr 24, 2026Open Access
The purpose of this study was to investigate the security of archives and records managed through the National Archives and Records Management System (NARMS) at Botswana National Archives and Records Services (BNARS). The study is a qualitative case study, where for sampling and the selection process of study respondents, the study adopted and used a purposive sampling method. Data collection was conducted through the use of observations, interviews and document analysis. While for data analysis...
Feb 24, 2026Open Access
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented data foundation for understanding group psychology and behavioral laws. Based on the intersection of big data engineering and psychology, this study aims to construct a comprehensive analytical framework to explore the law of group mood swings in social media and its predictive effects on consumer psy...
Feb 11, 2026Open Access
The visualization of high-dimensional data is a cornerstone of modern scientific inquiry, particularly in quantum physics, where complex non-linear interactions define system behavior. While linear dimensionality reduction methods provide mathematical guarantees of reproducibility, they fail to capture the intricate manifolds underlying such data. Non-linear techniques like Uniform Manifold Approximation and Projection (UMAP) are therefore essential, but their stochastic optimization introduces ...
Nov 26, 2025Open Access
This study explores the integration of Artificial Intelligence (AI) and Data Science to enhance sustainable procurement practices and minimize the carbon footprint within hotel supply chains. The research highlights the transformative potential of AI-driven solutions and data analytics in optimizing procurement processes, reducing waste, and promoting sustainability. Key findings indicate significant improvements in efficiency, cost savings, and environmental impact reduction. Recommendations fo...
Aug 27, 2025Open Access
Depression treatment often involves a complex and lengthy trial-and-error process, where clinicians sequentially prescribe medications to identify the most effective treatment for each patient. This approach can lead to delayed recovery, unnecessary side effects, and increased healthcare costs. To address this challenge, we present a Reinforcement Learning (RL)-based framework designed to optimize antidepressant treatment strategies through dynamic, patient-specific decision-making. The proposed...
Apr 09, 2025Open Access
With the rapid development of big data, mining the potential value of big data has become the key to the future development of science and technology. Especially with the introduction of the concept of “data assets”, popularizing data asset knowledge and expanding the data asset market have gradually become research hotspots. As an intangible asset, data assets have the characteristics of continuous growth, diverse categories, and frequent updates compared to traditional assets. Therefore, it is...
Apr 07, 2025Open Access
As a cornerstone of China’s economic modernization, Zhejiang Province has developed a globally influential network of professional markets since its post-reform industrialization. These markets have played a key role in driving local economic growth. This study examines the structural impact of internet-driven innovation on Zhejiang’s markets through three main dimensions: transaction cost reduction, industrial agglomeration, and digital eco-system evolution. The study also suggests policy recom...
Feb 06, 2025Open Access
Business Analytics (BA) has become a transformative tool in driving data-informed decision-making across industries. This study explores the adoption rates, impact on decision-making, and the effectiveness of BA tools in diverse sectors, including finance, retail, healthcare, manufacturing, and telecommunications. It highlights key trends in BA adoption, analyzes its impact on decision-making processes, and evaluates the effectiveness of popular tools such as data visualization, predictive analy...
Aug 16, 2024Open Access
Data mining is the process of extracting useful information and knowledge from mass data. Through statistics, machine learning, pattern recognition and other technologies, data is analyzed and processed to discover potential patterns and laws. This paper provides an indepth overview of the basic concepts and main technologies of data mining, including data association, data classification, and clustering. The application of data mining in the fields of Internet, finance, medical treatment and en...
Jul 11, 2024Open Access
This study takes Mount Tai Scenic Area as a case study to explore how big data technology can enhance the emergency rescue capability of scenic areas. This paper analyzes the methods and means of using big data technology to improve the emergency rescue capability of scenic spots and the shortcomings in the development and design of emergency rescue system. The research findings indicate that big data technology holds significant potential for application in emergency rescue operations in scenic...
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