The synthesis of multi-carbon (C₂₊) fuels via electrocatalytic reduction of CO, H₂O using renewable electricity, represents a significant stride in sustainable energy storage and carbon recycling. The foremost challenge in this field is the production of extended-chain carbon compounds (C_n, n ≥ 3), wherein elevated ^*CO coverage (θ_co) and its subsequent multiple-step coupling are both critical. Notwithstanding, there exists a “seesaw” dynamic between intensifying ^*CO adsorption to augment θ_co and surmounting the C-C coupling barrier, which have not been simultaneously realized within a singular catalyst yet. Here, we introduce a facilely synthesized lattice-strain-stabilized nitrogen-doped Cu (LSN-Cu) with abundant defect sites and robust nitrogen integration. The low-coordination sites enhance θ_co and concurrently, the compressive strain substantially fortifies nitrogen dopants on the catalyst surface, promoting C-C coupling activity. The n-propanol formation on the LSN-Cu electrode exhibits a 54% faradaic efficiency and a 29% half-cell energy efficiency. Moreover, within a membrane electrode assembly setup, a stable n-propanol electrosynthesis over 180 h at a total current density of 300 mA cm⁻² is obtained.

Constructing and exploring the evolution mechanism of an industrial innovation ecosystem in resource-based cities (RBCs) is the most effective way to solve the contradiction between economic development, energy shortage, and environmental degradation. Taking 10 typical RBCs in Shanxi Province as examples, this paper used the method of system dynamics (SD) to build a model of the industrial innovation ecosystem of RBCs and set up scenarios to simulate and predict the evolution of the industrial innovation ecosystem of RBCs. The results showed that the industrial innovation ecosystem of RBCs is a complex system composed of four subsystems: innovation players, innovation content, innovation resources, and innovation environment. In innovation players, the increase in the amount of talent has a more obvious effect on technology level and GDP than R&D funding. In innovation content, the improvement of management level has a slow and continuous positive impact on GDP. Technology achievements, once implemented, will improve GDP more than management progress does. In innovation resources, human capital has greater potential for an increase in GDP and per capita consumption expenditure. In innovation resources, technology level plays an important role in slowing down the deterioration of the ecological environment. This study enriched the theoretical paradigm of the research on the industrial innovation ecosystem, and provided effective strategies to solve the development problems of RBCs.

Ki-67 is one of the most useful markers to evaluate cell proliferative activity and has been widely used in tumor treatment and research. However, its role in human laryngeal carcinoma remains poorly defined. The aim of the present study was to investigate the expression of Ki‑67 in human laryngeal squamous carcinoma and the effect of Ki‑67 gene silencing by small interfering (si)RNA on the proliferation of human laryngocarcinoma HEp2 cells. Immunohistochemistry and reverse transcription‑quantitative polymerase chain reaction were performed to examine the expression of Ki‑67 in human laryngeal squamous carcinoma tissues and adjacent non‑cancer tissues from 50 patients with laryngeal squamous carcinoma. RNA interference was used to knock down the expression of Ki‑67 in the HEp2 cell line, and the proliferation of the treated cells was observed in vitro. Western blot analysis was used to determine the expression levels of epidermal growth factor receptor (EGFR) and E‑cadherin in the treated cells. The expression of Ki‑67 in the laryngeal squamous carcinoma tissues was significantly higher than that of the adjacent non‑tumor tissues (P=0.028). The high expression of Ki‑67 in cancer was significantly correlated with cervical lymph node metastasis and clinical outcomes (all P<0.001). The silencing of Ki‑67 resulted in the inhibition of proliferation of the HEp2 human laryngocarcinoma cells (P<0.001). In addition, compared with the control group, the expression levels of EGFR and E‑cadherin in the Ki‑67 siRNA‑treated cells were significantly decreased (P<0.001) and increased (P<0.001), respectively. These results suggested that Ki‑67 is important in regulating the proliferation of human laryngocarcinoma HEp2 cells and that the mechanism may at least partially be associated with the upregulation of EGFR and the downregulation of E‑cadherin. Overall, Ki‑67 can be used as an important indicator for judging clinical progress and estimating prognosis in human laryngeal squamous carcinoma.

The synergy between agricultural digitalization and greening is an inherent requirement for high-quality agricultural development and is a vital pathway for cultivating agricultural new quality productive forces (ANQPFs). Based on 2012–2023 provincial-level data from 30 Chinese provinces, this study constructs comprehensive evaluation index systems for agricultural digitalization, greening, and ANQPFs. A coupling coordination model is applied to measure the degree of digital–green synergy, and a two-way fixed effects model is employed to test its impact on ANQPFs, along with the underlying mechanisms and regional heterogeneity. The results indicate that digital–green synergy significantly enhances ANQPFs. A 1% increase in the synergy index improves ANQPFs by 29.6%, primarily through industrial structure optimization, technological innovation stimulation, and resource allocation efficiency improvement. The positive effect is most prominent in the central region, after Digital Village Strategy implementation, and in major grain-producing areas. This study innovatively integrates digitalization and greening into the analytical framework of agricultural productivity, expanding the theoretical understanding of how synergistic transformation drives high-quality agricultural development. Regarding policy, governments should strengthen coordination between digital and green policies, promote the integration and innovation of related technologies, and foster an enabling environment that supports the formation and evolution of new quality productive forces in agriculture.

With the rise of research on the integration of emergence theory and complex systems, value emergence has become a new model of value creation in green innovation ecosystems. Exploring the research status of green innovation ecosystems from the perspective of value emergence has become a research hotspot in the field of management science. Therefore, the purpose of this paper is to use bibliometric methods, explore the current research status of green innovation ecosystems from the perspective of value emergence, and, more importantly, provide a future direction for the integration of emergence theory into complex systems. In this paper, a search was conducted in the Web of Science and CNKI databases, with a time limit from 2009 to May 2023, and through further screening, 159 articles were collected, and CiteSpace software (CiteSpace.6.3.R1) was used for visualizing and exploring bibliometric networks. This study innovatively introduce the value emergence perspective in the context of green innovation ecosystems. The basic interaction, dynamic promotion, and feedback loop of value emergence are taken as the research framework, and the generation mechanism and dynamic evolution of the green innovation ecosystem are analyzed. Finally, three prospects for future research are presented: How do green innovation entities generate basic resources? How do digital transformation and dynamic capabilities promote emerging value? How do internal models and external identifiers promote feedback loops? This paper is highly important for promoting theoretical exploration in the field of green innovation research.