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Research on Gene Editing Technology of Single Cell Microalgae
Full text linkMicroalgae, a kind of unicellular photoautotrophs that widely exist in marine and freshwater. Microalgae can accumulate a great deal of metabolites in the process of growth, then they have high-value in bioenergy, food production, health care and animal feed. Although microalgae has great potential of development, its practical application is still slow because of its various biological species, incomplete genetic information research, complex industrial production process and so on. In recent years, due to the rapid development of genomics research, especially the emergence of new gene editing techniques, people can quickly efficiently and fully figure out the genetic and molecular information of microalgae. Therefore, wide attention has been paid to the application of new gene editing technology in microalgae breeding and microalgae fermentation engineering. Based on this, this paper briefly introduces some new gene editing techniques, such as zinc finger nuclease (ZFN), transcription activator-like effector nuclease (TALEN), and clustered regularly interspaced short palindromic repeats, CRISPR-associated system, and summarizes the application progress of the above techniques in microalgae gene editing and engineering
Spatiotemporal Mechanisms of Mountainous Urban Expansion Using Nighttime Lighting Remote Sensing—The Case of Guizhou
Full text linkNighttime light remote sensing has provided valuable insights into the spatiotemporal development of mountain cities across the karst area. Taking Guizhou as the study case, this study integrates DMSP/OLS and NPP/VIIRS nighttime light data from 1992 to 2022. The optimal threshold for identifying urban areas was determined through conventional data analysis. The extent of built-up areas across eight distinct periods was extracted to examine the spatiotemporal characteristics of mountain cities. The results revealed the following: The urban area of Guizhou has consistently expanded over the past three decades, with the rate and intensity of this growth following an M-shaped fluctuation pattern. The expansion rates of prefecture-level cities were categorized into four types: stable, fluctuating, breakthrough, and gradual. This urban growth predominantly followed a northeast-southwest axis. Guiyang has long served as the urban core of Guizhou, with the core shifting 42.03 km to the northeast over this period. Urban expansion exhibited three primary patterns: ring-like, linear (axial), and punctate. Notably, ring-like expansion was marked by a hollow annulus, while linear (axial) expansion mainly occurred along river valleys near smaller tributaries. The urban core of Guizhou evolved in distinct phases. Initially, Guiyang was the sole micro core, later developing into the primary core. Ultimately, a hierarchical urban structure emerged, with Guiyang as the main core, Zunyi as a secondary core, and a constellation of Kaili, Duyun, and Fuquan Cities forming peripheral micro cores. This system was characterized by Guiyang’s influence over Anshun and the decentralized growth of other cities. These findings offer important insights for urban planning and territorial development in mountain cities, such as those in Guizhou
Spatiotemporal Evolution and Early Warning for the Non-Agriculturalization of Cultivated Land Based on Multi-Scenario Simulation in Guizhou Province
Full text linkThe non-agriculturalization of cultivated land (NACL) poses a serious threat to food security and sustainable development. This study aims to reveal the spatiotemporal evolution of NACL in Guizhou Province, construct a hierarchical early-warning system, and propose recommendations for optimal land resource allocation. First, geospatial statistical analysis (2000-2020) revealed that the spatial pattern of NACL evolved from a scattered to a contiguously expanding one, with its rate increasing markedly from 2.7% (2000-2005) to 9.65% (2015-2020). This process was primarily driven by four key factors: population density, GDP, road network density, and cultivated land area. Second, the PLUS model was employed to conduct multi-scenario simulations and early warnings for 2035. The results indicate that the early-warning pattern exhibits a significant spatial differentiation, with higher levels in the west and lower in the east. Under the natural development (NDS) and urban expansion scenarios (UES), the risk of cultivated land loss in the western region is intensified, with most areas classified at or above the moderate warning level. In contrast, the cultivated land conservation (CCS) effectively curbs NACL and built-up land expansion, thereby not only reducing warning levels but also aligning more closely with sustainable development goals. This study provides a scientific basis for refining cultivated land conservation policies and promoting sustainable land use
Research on Unmanned Delivery Issues and Optimization in the Context of Low-altitude Economy
Full text linkSince the 21st century, with the continuous advancement of intelligent technology and the rapid development of aviation technology, the low-altitude economy has gradually attracted global attention and importance, becoming a new growth point for high-quality economic development in various countries. As a new economic form with an activity range of below 1,000 meters, the unmanned delivery system, with its unique advantages of breaking through ground traffic restrictions and improving logistics efficiency, has become one of the most commercially promising application scenarios in the low-altitude economy. The unmanned delivery system is reconfiguring the traditional logistics and delivery system. Technological iterations and policy breakthroughs are driving the unmanned delivery system into a period of rapid development. The integrated application of 5G networks, artificial intelligence, and high-precision navigation has significantly enhanced the autonomous decision-making capabilities of unmanned systems. However, it is worth noting that the current unmanned delivery still faces technical bottlenecks such as short battery life and poor adaptability to adverse weather, as well as systemic challenges like incomplete airspace management rules and high operating costs, which restrict the industry from expanding on a larger scale
Practical Exploration of GAI-Assisted English Continuation Writing Teaching in Senior High Schools
Full text linkContinuation writing is crucial in both senior high school English teaching and the college entrance examination, which imposes comprehensive requirements on students’ abilities of text interpretation, logical construction and creative expression. However, traditional continuation writing teaching is plagued by such problems as inadequate adaptation of teaching materials, lack of personalized guidance, delayed feedback in correction, and students’ frequent deviation from the theme in their writing. The diverse functions of Generative Artificial Intelligence (GAI) offer a new approach to addressing the above teaching dilemmas. Supported by the multimodal teaching theory and constructivist learning theory, and using the 2025 College Entrance Examination (New Gaokao Paper I) English continuation writing as a case study, this research explores teaching approaches for GAI-assisted continuation writing in senior high school English. It focuses on three core stages: reading comprehension, continuation writing, and post-writing evaluation, aiming to provide concrete reference pathways and operational models for innovative practices in English continuation writing teaching in the digital era
Research on the Application of Smart Classroom Teaching Mode under the Background of AIGC: A Case Study of the “Online Store Management and Operation” Course
Full text linkIn the current era when the digital transformation wave is sweeping across the globe, China’s higher education is facing unprecedented opportunities and challenges. Especially in the field of e-commerce, the traditional teaching mode of the “Online Store Management” course has been unable to meet the talent cultivation needs of the digital economy era. This article will, from the perspective of technology empowering education, deeply explore the innovative application of generative artificial intelligence (AIGC) technology in this course teaching. With the breakthrough development of technologies such as deep learning and natural language processing, AIGC technology has demonstrated strong content generation and intelligent interaction capabilities. This technological transformation not only reshapes the business operation model but also poses new requirements for education. In the “Online Store Management” course, AIGC technology can use virtual simulation technology to recreate the real e-commerce operation environment, can push differentiated teaching content based on student profiles, and can dynamically monitor learning effects and optimize teaching strategies. The deep integration of AIGC technology and the “Online Store Management” course not only can improve teaching quality but also can cultivate interdisciplinary talents who are adaptable to the development of the digital economy
Can Institutional Analysts Identify Non-financial Information Manipulation? Evidence from China
Full text linkBased on the data of Chinese listed companies from 2009 to 2023, this paper examines analysts’ ability to discriminate distorted information by examining the sensitivity of analysts’ earnings forecast correction behavior to textual readability. The empirical study found that China’s securities analysts have a certain screening ability for the non-financial information disclosed by listed companies based on the motivation of interest encroachment. Through robustness analysis, the above conclusion is still significant. The conclusion of this paper provides theoretical reference and policy enlightenment for improving China’s non-financial information disclosure system and alleviating the distortion of information disclosure
Research on the Construction of National Ecological Image in Marine Environmental Reporting by China’s Mainstream Media
Full text linkMarine environmental reporting by China’s mainstream media is an important subject for research on the self-construction of national ecological image. This paper takes marine environmental reports from China Daily and other mainstream media between 2015 and 2025 as examples, establishing a specialized corpus. By integrating Critical Discourse Analysis (CDA) and corpus methods, this paper analyzes the lexical and grammatical features of high-frequency ecological vocabulary from the dimensions of text, discourse, and social practice. The study finds that through lexical selection and narrative logic, China’s mainstream media successfully constructs a tripartite national ecological image as a “responsible governor”, a “practitioner of sustainable development”, and a “global cooperation contributor”. This research fills a gap in the study of national ecological image in the context of marine ecology discourse to some extent, providing theoretical reference and data support for enhancing China’s international discourse power in marine ecological governance and optimizing marine environmental communication strategies
Game Analysis on the Evolution of Summer Fishing Moratorium System Strategy Under Ecological Compensation Mechanism
Full text linkEcological compensation mechanism, as an effective means to resolve the contradiction between sustainable development of fisheries and poverty alleviation of fishermen, plays its role effectively through an in-depth exploration of game strategies of relevant subjects. Based on the hypothesis of bounded rationality, the relevant game matrix is constructed by invoking the mathematical model of the evolutionary game in this paper, by which the differential equilibrium results of the fishery ecological compensation game are analyzed. Furthermore, MATLAB software is employed to simulate and analyze the evolutionary stable strategy under different parameters by combining the relevant data. The study shows that: ⅰ) In the case of ecological compensation payments by local governments to fishermen, the enthusiasm of fishermen to conduct fishing moratorium increases with the increase of ecological compensation payment. Excessive ecological compensation payments will reduce the willingness of local governments to carry out ecological compensation. ⅱ) In the case of political rewards from superior governments to local governments, neither excessively low political rewards nor insufficient penalties help improve the enthusiasm of local governments for ecological compensation. When political rewards are greater than a certain limit, local governments’ willingness to make ecological compensation will increase with the increase of political rewards from superior governments. Fishermen’s willingness to choose to conduct fishing moratorium, influenced by the enthusiasm of local governments, will also increase
A Study on the Bilingual Memes Compensation Mechanism in the “TikTok Refugees” Phenomenon on Xiaohongshu Empowered by Artificial Intelligence
Full text linkOn January 17, 2025, the U.S. Supreme Court ruled on the bill that mandates TikTok to “sell or be banned” ordering ByteDance, TikTok’s parent company, to complete the sale by January 19, 2025. Failure to do so would result in a nationwide ban of TikTok in the United States. This decision led a large number of TikTok users to migrate to Xiaohongshu, giving rise to the distinctive “TikTok Refugee” phenomenon. Bilingual memes on Xiaohongshu have since sparked heated discussions among internet users. Using AI-driven content analysis tools such as Doubao and Kimi, this study systematically examines the semantic compensation mechanism of visual symbols for textual annotations in such memes. The findings reveal that in cross-cultural communication, pure textual annotations often suffer from meaning loss due to cultural and semantic differences. In contrast, visual symbols can provide semantic compensation for textual annotations through strategies such as context reconstruction, effectively improving the consistency of meaning in cross-cultural contexts and breaking down barriers to cross-cultural communication