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Abstract The clinical efficacy of immunotherapy for hepatocellular carcinoma (HCC) is significantly limited by the low immunogenicity of the tumor. Recent studies have revealed that both pyroptosis and photothermal therapy can effectively induce tumor immunogenic cell death (ICD) in liver cancer cells. Polyphyllin II (PPII), the major active component of Rhizoma Paridis, has been demonstrated for the first time to induce pyroptosis in tumor cells, while IR780 is activated by 808 nm laser to transform light energy into heat energy, effectively eliminating tumor cells. However, both PPII and IR780 are afflicted with challenges such as low solubility and poor targeting, significantly limiting their utilization. To address these problems, the pyroptosis inducer PPII and photosensitizer IR780 were co-loaded in PLGA nanoparticles by precipitation method, and the aptamer AS1411 was modified on the surface of nanoparticles to construct the targeting nanoparticles (Apt/PPII/IR780-NPs). The nanoparticles exhibit a pH/NIR dual-response intelligent release feature, which realizes the targeted and controlled release of drugs in tumor site. Furthermore, it can rapidly release PPII to induce cell pyroptosis under laser irradiation, combining with IR780-based photothermal therapy exert a significant synergistic anti-tumor effect in vitro and in vivo. This process not only promotes maturation of DCs and activates effector T cells, thereby initiating adaptive immunity, but also generates enduring and effective immune memory. In addition, Apt/PPII/IR780-NPs significantly improved the Anti-PD-1 efficacy. In summary, chemo-photothermal therapy based on Apt/PPII/IR780-NPs can significantly enhance tumor ICD, which provides a promising new strategy for HCC immunotherapy.

Abstract Background As global aging continues to intensify, the health status of the older people requires urgent attention, and health education provides a pathway for active aging. However, the current outlook on health education for older people in rural areas of China is not optimistic. This study used Social Ecosystems Theory and explored the deep-rooted influencing factors on the acceptance of health education from the perspective of the rural older people. Methods In this study, a purposive sampling method was adopted, and eligible rural older individuals were selected from Hebi city, Henan Province, China, from March to May 2023 as the research participants. A semistructured interview method was used to explore the factors affecting the acceptance of health education by older people. The interview data were analyzed using the qualitative content analysis method to obtain relevant themes and subthemes. Results A total of 14 participants were recruited for the interviews; 8 were male, 6 were female, most had an elementary school education, and most were farmers. The results of the thematic analysis revealed a total of nine facilitators and nine barriers in micro, meso and macro levels. Among the findings, our important and unique finding is that inadequate intergenerational support somewhat hinders older adults’ exposure to health education. Conclusion There are numerous and complex facilitators of and barriers to accessing health education for rural older adults; of these, a lack of intergenerational support is particularly important. In the future, health education needs to be centered on the families of older people with the assistance of village committees so that older people and their children can learn and communicate together.

BackgroundTo meet the growing health needs of older people, the Chinese government has introduced internet-based home care services. However, most rural older people have not yet benefited from such services, and the willingness to use these services and the factors influencing them remain unclear.ObjectiveWe aim to investigate the current willingness of rural older people to use internet-based home care services and analyze the factors.MethodsWe conducted a cross-sectional study across multiple centers using general information and self-developed questionnaires. Qualitative interviews, a literature review and the Delphi method were employed to develop the questionnaire. A total score of the questionnaire above 78 or higher indicates a high willingness to use internet-based home care services. Descriptive statistics, t-tests, one-way ANOVA, and multiple linear regression were used to explore the factors that influence the willingness of rural older people to use internet-based home care services.ResultsWe surveyed 349 rural older people. The total score of rural older people’s willingness to use internet-based home care services was 84.49 ± 10.88, indicating high willingness, with the highest score for the dimension of perceived usefulness and lower scores for the dimension of perceived ease of use. Multiple linear regression analysis revealed that gender, education level, residence status, number of chronic diseases, and knowledge of internet-based home care services were the most important factors for rural older people (all p

Passively tuned mass dampers (TMDs) are known to effectively mitigate the vibration of wind turbines. However, existing literature predominantly examines their application in damping vibrations of the tower or platform, overlooking the potential benefits of installing TMDs on the turbine blades themselves. This study investigates the impact of wind and wave loads on TMD damping effectiveness and proposes a comprehensive damping strategy involving TMDs installed in both the nacelle and the blades. The design optimized the mass and stiffness of these TMDs to enhance their performance. Results indicate that, as wind speeds increased from 12 m/s to 24 m/s, the power spectral density at the tower’s natural frequency (0.22 Hz) more than doubled. Notably, TMDs exhibited robust vibration damping capabilities under high wind speeds. Specifically, at wind speeds of 24 m/s, TMDs reduced anterior–posterior and lateral displacement at the tower top by 61.2% and 166.8%, respectively, when two TMDs were combined. Conversely, the study found that TMDs did not significantly improve vibration damping at lower to moderate wind speeds. This research underscores the importance of optimizing TMDs for high wind conditions to ensure wind turbine stability and mitigate potential vibration-related risks effectively under varying environmental loads, including wind and waves. It offers valuable insights for the refined design and deployment of TMDs in wind energy applications.

BackgroundThe purpose of this study was to understand the current status of traditional Chinese medicine (TCM) health literacy among rural older adults people and its influencing factors.MethodsThis study used a random number table method to select one prefecture from Henan Province, China and used a convenience sampling method to select 200 rural older adults who met the inclusion criteria in a township in northern Henan from March to April 2023. A cross-sectional survey was conducted using a general information questionnaire and a traditional Chinese medicine health literacy questionnaire, and the influencing factors of rural older adults were analyzed using univariate analysis of variance (ANOVA) and multiple linear regression.ResultsThe total TCM health literacy score of 200 rural older adults people was 84.14 ± 6.709. One-way ANOVA revealed that six factors, including education level, marital status, type of occupation, presence of family members engaged in medical-related work, main economic sources, and monthly income, influenced the TCM health literacy score of rural older adults people (p

Personalized recommender systems play a crucial role in assisting users in discovering items of interest from vast amounts of information across various domains. However, developing accurate personalized recommender systems remains challenging due to the need to balance model architectures, input feature combinations, and fusion of heterogeneous data sources. This study investigates the impacts of these factors on recommendation performance using the MovieLens and Book Recommendation datasets. Six models, including single-task neural networks, multi-task learning, and baselines, were evaluated with various input feature combinations using Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). The multi-task learning approach achieved significantly lower RMSE and MAE by effectively leveraging heterogeneous data sources for personalized recommendations through a shared neural network architecture. Furthermore, incorporating user data and content data progressively enhanced performance compared to using only item identifiers. The findings highlight the importance of advanced model architectures and fusing heterogeneous data sources for high-quality recommendations, providing valuable insights for designing effective recommender systems across diverse domains.

Prefabricated installation, a pivotal study in the realm of contemporary construction practices, delves into the utilization of prefabrication within mechanical, electrical, and plumbing (MEP) systems. Despite its ascending prominence, the domain grapples with ambiguities in application pathways, uncertain developmental trajectories, and the absence of a holistic technical paradigm. This research endeavors to bridge these gaps by conducting a thorough and multidimensional investigation into the current landscape of prefabricated MEP installation initiatives. This study meticulously dissects the paradigm from five critical vantage points: historical evolution, standards and regulations, life cycle analysis, technological applications, and corporate implementation strategies. At present, there is still a lack of standards and specifications specifically for the field of assembled MEP installation. The analysis reveals a trend towards intelligent and sustainable installation practices in prefabricated MEP projects. The research predominantly focuses on the design, production, and installation stages. Notably, building information modeling (BIM) emerges as the most prominent technology, followed by the Internet of Things (IoT) and 3D laser scanning, with extended reality (XR) technologies gaining traction. Large, state-owned construction firms are spearheading innovative applications in this realm. In summary, this paper provides an overview and outlook for the development direction and the application of cutting-edge technologies in prefabricated MEP installation projects, with the aim of supporting the industry’s advancement.