Historic buildings and urban streetscapes face increasing threats from climate change, development, and aging infrastructure, creating a pressing need for accurate and scalable documentation methods. This review assesses the combined use of photogrammetry and unmanned aerial vehicle (UAV) technologies in preserving built cultural heritage. We systematically analyze the end-to-end workflow, from the sophisticated processing of imagery into highly detailed and accurate 3D models in photogrammetry software via data acquisition using diverse UAV platforms and sensor payloads. Through case studies, including the mapping of ancient Maya sites in the Yucatán Peninsula and the conservation of the Notre Dame Cathedral, the review highlights the accuracy, efficiency, and accessibility offered by this technological synergy, underscoring its significance for heritage conservation, research, and the development of digital twins. Furthermore, it explores how these advancements foster public engagement and virtual accessibility, enabling immersive experiences and enriched educational opportunities. The paper also critically assesses the inherent technical, ethical, and legal challenges associated with this methodology, offering a balanced perspective on its application. By synthesizing the current knowledge, this review proposes future research trajectories and advocates for best practices, aiming to guide heritage professionals in leveraging photogrammetry and UAVs for the effective documentation and safeguarding of global cultural heritage.

Redtory was transformed from an old industrial site into a creative park in Guangzhou. Unfortunately, it was demolished in May 2019. It holds a dual significance, representing both Guangzhou’s old industrial era and its first creative park (Art and Design). The objective of this study was to utilize Virtual Reality (VR) technologies to design an immersive environment with a narrative experience and restore the historical memory of Redtory. The project designs the interactive storytelling tour based on Bartle’s taxonomy theory. The VR project includes four primary scenes to tell the Redtory’s story: Starting Scene, Factory Buildings, Historical Square, and Creative Corridor. The study designs various interactive elements to engage tourists during exploration. The study conducted user tests to evaluate the system. A comparative experiment (N = 40) is conducted to evaluate the overall performance of the VR platform. The results indicate that the platform provides a smooth storytelling experience during the virtual tour with minimal bugs or disruptions. The project provides valuable user data and a design flow as a case study reference to contribute to the field of VR historical education.

The integration of large language models (LLMs) into remote healthcare has the potential to revolutionize medication management by enhancing communication, improving medication adherence, and supporting clinical decision-making. This study aims to explore the role of LLMs in remote medication management, focusing on their impact. This paper comprehensively reviews the existing literature, medical LLM cases, and the commercial applications of LLMs in remote healthcare. It also addresses technical, ethical, and regulatory challenges related to the use of artificial intelligence (AI) in this context. The review methodology includes analyzing studies on LLM applications, comparing their impact, and identifying gaps for future research and development. The review reveals that LLMs have shown significant potential in remote medication management by improving communication between patients and providers, enhancing medication adherence monitoring, and supporting clinical decision-making in medication management. Compared to traditional reminder systems, AI reminder systems have a 14% higher rate in improving adherence rates in pilot studies. However, there are notable challenges, including data privacy concerns, system integration issues, and the ethical dilemmas of AI-driven decisions such as bias and transparency. Overall, this review offers a comprehensive analysis of LLMs in remote medication management, identifying both their transformative potential and the key challenges to be addressed. It provides insights for healthcare providers, policymakers, and researchers on optimizing the use of AI in medication management.

Advances in digital interactive technologies have created a range of innovative products and services for the well-being of society. Extended Reality (XR) technology has shown enormous potential in the educational, commercial, and medical fields. Considering the potential of XR, we analyzed the use of XR technology for the improvement of web service user experiences. The paper discusses Web Extended Reality (XR) and its current circumstances. The study also discusses the advantages of web componentization and the Page Builder System, which is a famous framework for web componentization. Furthermore, the study analyzes the characteristics of XR. The research designs the Web XR User Interface framework with XR characteristics and componentization design. A 3D UI framework is proposed for providing an immersive, explorative, and readable user experience. The framework covers three aspects, including main content, a scrollbar, and navigation. In order to evaluate the performance efficiency of the framework, a proof-of-concept prototype was developed to examine the concept. We conducted a user study with 60 participants to evaluate the reading performance. Compared with the traditional web layout, the experimental results showed that the framework can improve the user experience in static websites. The paper indicates possible future views based on the experimental study.

Spam has been a serious and annoying problem for decades. Even though plenty of solutions have been put forward, there still remains a lot to be promoted in filtering spam emails more efficiently. Nowadays a major problem in spam filtering as well as text classification in natural language processing is the huge size of vector space due to the numerous feature terms, which is usually the cause of extensive calculation and slow classification. Extracting semantic meanings from the content of texts and using these as feature terms to build up the vector space, instead of using words as feature terms in tradition ways, could reduce the dimension of vectors effectively and promote the classification at the same time. In this paper, a novel Chinese spam filtering approach with semantics-based text classification technology was proposed and the related feature terms were selected from the semantic meanings of the text content. Both the extraction of semantic meanings and the selection of feature terms are implemented through attaching annotations on the texts layer-by-layer. This filter performed well when experimented on a public Chinese spam corpus.

The fintech (financial technology) employment market presents significant barriers to entry, including rigorous selection criteria based on factors such as profitability, risk, security, and confidentiality, which limit students’ opportunities to enter the industry. The negative impact of the COVID-19 pandemic has further exacerbated the challenges faced by the fintech employment market in China. Consequently, it is crucial to assist fintech students in enhancing their professional abilities to navigate the job market successfully. Virtual reality is gaining increasing importance in educational fields due to its immersive virtual simulation capabilities. In this study, a hybrid fintech course was designed based on the principles of outcome-based education theory and the flipped classroom model. The project objective was to provide students with virtual training and project-based assessments that facilitate a seamless transition from theoretical knowledge to practical application in the industry. To evaluate the effectiveness of hybrid education, a comparative user experiment was conducted involving 60 participants (students) from Guangdong University of Finance. The study used median data, average data, and the entropy weight method for analysis. The results indicated that hybrid education has a positive impact on individual-level critical thinking, communication, and teamwork skills. We believe that our study can provide critical data references for global online/hybrid education researchers and contribute to the education field.