Purpose/significance The wave of deglobalization has impacted the global development trajectory of Open Science, with U.S. Open Science policies undergoing a drastic contraction. It is necessary to understand this reconstructive trend of Open Science and identify the development opportunities therein. Method/process By introducing a "deglobalization" perspective and drawing on the policy tracking audit method, this study examines samples of U.S. Open Science policies and conducts an in-depth analysis of the underlying motivations and impacts. Result/conclusion During the era of deglobalization, the United States has significantly reduced the implementation and on-the-ground effectiveness of its Open Science policies through executive orders, funding freezes, leaving key positions vacant, and deregulation, thereby exerting a far-reaching impact on the global Open Science landscape. China can seize the opportunity presented by the comprehensive reshaping of the global Open Science to explore new models of sovereignty-controllable data openness and build a polycentric global Open Science ecosystem.

Professor Mao Taitian and colleagues argues elucidates the adaptation logic, practical pathways, and prerequisites of intelligent agents to empower the high-quality development of scientific information. Professor Bao Yulai and colleagues advocate that integrating the perceptual elasticity of domain-specific large models with the cognitive rigidity of ontology can establish a new paradigm for intelligence services in complex scenarios. The synergy between the two can not only expand the theoretical boundaries of information science and serve national strategies, but also advance intelligence services from assisted analysis to intelligent decision-making. Professor Wei Jianxiang and colleagues point out that generative artificial intelligence has triggered problems such as synthetic data anomie, difficulties in auditing information pollution, and elevated risks of intelligence leakage. By constructing a human AI collaboration model, relying on intelligence thinking for deviation correction, implementing full-process verification, and enhancing personnel's intelligence literacy, such measures can ensure the secure and controllable utilization of intelligence resources. Professor Wu Peng and colleagues propose that scientific information empowers the integration of technological innovation and industrial innovation, and that artificial intelligence reshapes intelligence research capabilities and thus can assist in tackling key technological bottlenecks and fostering industries. It is necessary to consolidate the digital-intelligent foundation, promote intelligent upgrading, and make forward-looking strategic arrangements. Professor Yu Chuanming reveals that artificial intelligence mirrors the essence of information science, driving knowledge organization through a three-stage evolution of alignment, integration, and augmentation, ultimately transforming knowledge organization into a fully connected disciplinary network characterized by value emergence.

Purpose/significance Future industries are important carriers of new quality productive forces which can play a leading role in the economic and social development. Quantitative analysis and evaluation of China's future industry policies can provide support and reference for the formulation, optimization and adjustment of subsequent policies. Method/process Taking a total of 84 policy texts at the central, provincial, municipal and county levels in China as the research objects, a three-dimensional analysis framework of "theme-tool-effectiveness" was constructed. By comprehensively applying LDA thematic analysis, content analysis and PMC index model, theme distribution, content characteristics and comprehensive effectiveness of policy texts were deeply analyzed. Result/conclusion The study found that policy themes are diverse and rich, highlighting both innovation and coordination. Policy tools are reasonably allocated, though their combined effectiveness requires further enhancement. Overall policy efficacy is acceptable, yet regional development disparities remain pronounced. Recommendations included tailoring policy themes to local conditions, refining implementation details, balancing policy tool allocation, strengthening synergistic effects, improving monitoring, evaluation, and feedback mechanisms, and promoting the diffusion of high-quality policies.

Purpose/significance Grounded in the strategic height of national security, this paper explores the connotation reconstruction and strategic transformation of national defense science and technology intelligence in the new era. It aims to respond to the evolution of international competition and the security landscape, and to promote the adaptation of the defense technology intelligence system to the requirements of the modernization of national security governance. Method/process By critically examining the limitations of its traditional connotations, this study systematically reconstructs the new connotations of defense technology intelligence across five dimensions: strategic orientation, content expansion, methods and technologies, system integration, and functional extension. Based on this reconstruction, it delves into the practical logic and implementation mechanisms of its strategic transformation along five primary pathways: strategic guidance and forward-looking warning, comprehensive domain awareness and ecosystem monitoring, intelligent empowerment and digital enablement, system integration and collaborative sharing, and cognitive shaping and discourse power construction. Result/conclusion The research indicates that defense science and technology intelligence must undergo a fundamental transformation from supporting operations to shaping security. By deepening civil-military integration, strengthening intelligent empowerment, and promoting system coordination, an independent, controllable, forward-looking, and leading national technology intelligence system can be constructed, which could more effectively serve the need of national security and development.

Purpose/significance From the perspective of system vulnerability, this study aims to construct a dynamic monitoring and early-warning indicator system that systematically reflects science and technology security risks, so as to enhance the foresight and accuracy of risk perception and early warning. Method/process Introducing the system vulnerability theory and based on the "exposure-sensitivity-adaptive capacity" analytical framework, science and technology security risks are categorized into three dimensions: technological entity, actor behavior, and institutional constraints. Risk factors within each dimension were identified, leading to the selection of 9 secondary indicators. Innovatively, these indicators are classified into two types: continuous and threshold-triggered. A "one-vote veto" mechanism is introduced, which constructs an indicator system capable of hierarchically monitoring both gradual "quantitative change" risks and sudden "qualitative change" risks. Result/conclusion The research shows that this framework not only provides a systematic theoretical perspective for comprehensively understanding science and technology security risks, but also clarifies the data sources and specific measurement content of each indicator at the application level, ultimately forming an operable monitoring tool.

Purpose/significance Technology introduction re-innovation is the key path for enterprises to quickly acquire advanced technologies and transform them into independent innovation advantages,which is of great significance in promoting the upgrading of the national technology innovation system and enhancing industrial competitiveness. Method/process This article proposes a specific approach for analyzing the technology introduction and re-innovation model of enterprises based on cros-border patent transfer data, and takes strategic emerging industries in Shandong Province as an example for empirical research, then proposes the selection strategies for enterprises technology introduction re-innovation models. Result/conclusion Research shows that strategic emerging industry enterprises in Shandong Province mainly adopt a one-ime and blank introduction model in technology introduction, with flexible strategies but a low starting point for technology accumulation; in the process of technological innovation, the low yield innovation mode is the main mode, and there are significant differences in the digestion, absorption, and innovation capabilities among enterprises. The proportion of rapid innovation mode is relatively high, and the innovation speed gap between enterprises is obvious. Overall, the technology introduction strategy in Shandong Province is relatively flexible, but the ability of enterprises to digest, absorb and innovate is insufficient, and the overall efficiency and speed of re-innovation output need to be improved. The characteristics of this model are influenced by factors such as industrial development stage, enterprise basic condition, and regional policy environment. Therefore, when choosing a technology introduction re-innovation model, enterprises should comprehensively consider market competition, technological foundation, resource endownments, and strategic goals to achieve the best adaptation between the model and internal and external environment.

Purpose/significance The shaping of online public opinion security situational awareness is a key approach to governance. In digital and intelligent era, integrating digital intelligence empowerment with intelligence-driven theory holds significant theoretical and practical value for enhancing the capability and effectiveness of online public opinion security situational awareness. Method/process This study, based on a thorough explanation of the core concepts of digital intelligence empowerment and intelligence-driven theory, systematically analyzes the internal logic of shaping network public opinion security situation awareness through digital intelligence empowerment and intelligence-driven approaches, then constructs and interprets a model for shaping network public opinion security situation awareness under these frameworks. Result/conclusion The model constructed in this study integrates three sub-models: network public opinion security situation awareness, network public opinion security situation intelligence generation, and network public opinion security situation shaping. These three components work in concert to achieve comprehensive perception, in-depth understanding, precise prediction, and proactive shaping of network public opinion security situations, ultimately aiming to effectively maintain and systematically shape the security landscape of online public opinion.

Purpose/significance In line with the national requirements for building a carbon emission early warning mechanism, conducting the urban carbon emission early warning research is of great significance for achieving the “dual-carbon” goals. Method/process This paper selected 16 prefecture-level cities in Anhui Province as research samples. A carbon emission early warning indicator system was constructed based on the DPSIR framework. By using data from urban statistical yearbooks, the LSTM model was employed with parameter optimization via genetic algorithms to forecast various early warning indicators for 2024-2025.On this basis, a combined subjective-objective weighting method was then applied to calculate the urban carbon emission warning index and classify the warning levels of the cities. Result/conclusion During the study period, no cities in Anhui Province fell into the categories of extremely high risk or zero risk. Overall carbonemission risk showed a declining trend, with the number of higher risk cities decreasing and the number of lower risk cities increasing. Significant differences were observed in earlywarning levels and index structures across cities, with central regions generally exhibiting higher risk levels than the northern and southern areas. By analyzing the dynamic evolution and structural characteristics of the five dimensions of the earlywarning index, and considering differences in urban endowments, differentiated low-carbon development pathways were proposed, providing decision support for targeted regional carbon reduction strategies.

[Purpose/significance]The characteristics of academic journals have important value, and current evaluation systems lack assesment for this dimension. [Method/process]This paper proposes a variable weight method for factor reduction data, firstly uses factor analysis combined with manual classification to determine the characteristics of the journal, and uses Sigmoid function to standardize the public factors to determine the characteristic journals, and then uses the variable weight function to modify the original data for the characteristic indicators of the characteristic journals based on the data of forestry journals in CNKI. Three representative methods including linear weighted aggregation, weighted TOPSIS, and factor analysis, are used for conducting empirical research. [Result/conclusion]The characteristic evaluation of academic journals must be paid enough attention. The variable weight of factor reduction data provides a new idea from the perspective of basic data. The data variable weight linear weighting summary evaluation value has been reduced. The data variable weight TOPSIS evaluation value has been reduced. The explanatory power of factor analysis is improved after the data is weighted.

[Purpose/significance]Ensuring the data security of the public data opening platform is a prerequisite for releasing the value of data elements. Exploring the influencing factors of its data security guarantee level can provide a reference for the security governance of public data opening. [Method/process]Combining information ecology theory, and using NCA and fsQCA methods, this study takes 28 provincial government data open platforms as research objects for empirical analysis to reveal the key influencing factors and configuration paths of the data security assurance level of public data open platforms. [Result/conclusion]The findings indicate that seven antecedent variables influence the date security assurance level of public date open platforms. There are three configuration paths to enhance the level of data security guarantee. They are the subject and object-driven type under the dominance of technology, the government, data resource and economic level-driven type under the dominance of technology, and the multi-element collaborative-driven type under the dominance of technology.

[Purpose/significance]Under the context of New Liberal Arts construction, the resolution of many major scientific and technological issues requires transcending traditional disciplinary boundaries. By identifying and integrating interdisciplinary knowledge, it becomes possible to grasp the direction of disciplinary development and predict emerging innovative trends. [Method/process]This study takes the full-text information of articles from six academic journals in China's library and information science (LIS) from 2017 to 2021 as its research object. Drawing on the kinetic energy theory from physics, it constructs a kinetic energy model for interdisciplinary knowledge integration from the dual dimensions of quoting scholars driving force and disciplinary attraction, and conducts empirical research.[Result/conclusion]The results indicate that the disciplinary gravitation coefficient can effectively quantify the gravitational effect of a disciplinary knowledge system on interdisciplinary knowledge, helping to characterize the expansion effect of the peripheral boundaries of the disciplinary knowledge system from the perspective of kinetic energy. The study also reveals that the development of library and information science exhibits significant technology-driven and social management-oriented characteristics. In terms of knowledge categories, the expansion of the library and information science knowledge system is primarily driven by thematic concepts and technological methods, while theoretical models are consistently sourced from sociology, management, and computer science. Indicator tools, however, face certain limitations due to their disciplinary attributes and adaptability factors.

[Purpose/significance]Finland is at the forefront of open science worldwide. Studying Finland's open science policies is of reference significance for promoting the formulation and implementation of open science policies in China. [Method/process]The article employs the qualitative analysis software Nvivo 12 Plus and the grounded theory approach to conduct a textual analysis of Finnish primary open science policies.Through a three-level coding analysis, the content of Finnish open data policy, open access policy, open education policy, open infrastructure policy, citizen science policy, open science evaluation policy, and open science regulatory policy are analyzed. [Result/conclusion]Finnish open science policy is characterized by strong support at the national strategic level, continuous strengthening of the scientific research integrity mechanism, ongoing development and refinement of evaluation and monitoring systems, and deep participation in international cooperation. China can draw on Finnish experience to carry out top-level design for open science, improve the monitoring and evaluation system for open science, optimize policies on research integrity, deepen international cooperation, and perfect the open science policy system to promote its high-quality development.