Baoshan College

The implementation of the new national electric bike (e-bike) standard has imposed stringent compliance requirements on equipment and e-bikes in the instant delivery sector, which directly affects the delivery efficiency and the work adaptability of food delivery riders. This study aims to investigate food delivery riders’ continued usage intention of e-bikes under China’s new e-bike regulation. Based on valid data collected from food delivery riders in Nanjing, this study employs ordered logit regression to examine the primary factors influencing their continued usage intention of e-bikes. The findings reveal that: (1) Male riders’ willingness to continue using e-bikes is comparatively lower, whereas older riders show a stronger intention. (2) Food delivery riders with higher incomes and those who need to replace their e-bikes show a stronger inclination to continue using them. (3) Limited e-bike options have a significant negative effect on riders’ continued usage intention, while speed limits exert no significant influence. Based on these empirical findings, corresponding policy recommendations are proposed to promote riders’ continued use of e-bikes, such as developing age-friendly delivery models, establishing an income guarantee mechanism for riders, and optimizing platform delivery time allocation. The findings could provide a theoretical basis and practical insights for policymakers and food delivery platforms to improve e-bike management policies.

In the digital transformation era, the application of deep learning in image style conversion has opened new avenues for creative expression and business innovation. This article explores advanced deep learning techniques to achieve efficient and accurate image style conversion in different image datasets. The method has been validated through comprehensive experiments on the Microsoft Common Objects in Context dataset, and compared to existing methods, this article's method demonstrates outstanding performance metrics including peak signal-to-noise ratio, structural similarity, and user satisfaction. In addition, the impact of different hardware configurations on processing efficiency was analyzed, providing insights into optimizing computing resources for real-time applications. The results of this case study not only contribute to the theoretical advancement of image processing but also provide practical solutions for the visual content creation industry.

BackgroundFor patients with poor glycemic control of adult type 1 diabetes mellitus (T1DM), in addition to managing blood glucose levels, it is worth exploring further as an early warning indicator of blood glucose control.Methods56 adults with T1DM, aged between 18 and 70 years, were included in the study. Data on body composition and laboratory indicators, including phase angle values and HbA1c levels, were collected. Statistical analysis was conducted to determine the correlation and the strength of association between the phase angle, and HbA1c levels.ResultsPearson’s correlation and linear regression models indicated a negative correlation between phase angle and HbA1c levels, even after controlling for age and weight in both males and females.ConclusionThe results indicate a significant negative relationship between Phase angle and HbA1c levels. Beyond being a simple body composition parameter, Phase angle can be used as a clinical indicator of improved blood glucose control.

Myopia has emerged as a major threat to the visual health of adolescents worldwide. Early intervention can effectively slow down the progression of myopia in adolescents. Tuina (also known as Tui Na), a significant therapeutic method in traditional Chinese medicine, has shown promising clinical efficacy in delaying the progression of myopia; however, it lacks robust, large-scale, and standardized randomized controlled trials. This study aims to explore the efficacy and safety of tuina therapy in managing myopia in adolescents, thereby providing solid evidence for the application of tuina in the clinical treatment of myopia. This study is a multicenter randomized controlled clinical trial. A total of 62 children with myopia will be recruited from 4 hospitals and randomly assigned in a 1:1 ratio to a tuina experimental group and a drug-positive control group (tropicamide eye drops). Treatments in each group will be administered 3 times per week for a total of 8 weeks. The tuina experimental group will receive 20 minutes of tuina therapy per session, while the drug-positive control group will receive tropicamide eye drops administered every other day, with 2 drops per session. The primary outcome measures include uncorrected visual acuity and axial length, while secondary outcome measures include refractive power and accommodative amplitude. Data will be collected at baseline (week 0), on the day of completion of weeks 4 and 8 of treatment, and at the end of the 10-week follow-up period. Adverse events will be monitored and recorded throughout the study. Statisticians will be blinded. Data will be analyzed using SPSS version 28.0. This study has been funded, and recruitment began in June 2025. As of December 2025, 29 participants have been enrolled, with 16 allocated to the tuina group and 13 to the drug-positive control group. Recruitment is expected to continue until October 2026. Final manuscript submission is anticipated by December 2026. This study aims to evaluate the efficacy and safety of tuina therapy in the treatment of adolescents with myopia. We hypothesize that the therapeutic effect of tuina therapy is noninferior to that of tropicamide eye drops, with the additional advantages of fewer side effects and stable long-term efficacy, thereby providing reliable evidence and support for the application of tuina therapy in the management of myopia in adolescents.

Abstract Global events, including pandemics and geopolitical conflicts, have catalyzed a fundamental reevaluation of remote collaboration paradigms across training, technical assistance, maintenance, and educational domains. While conventional video conferencing technologies have achieved widespread adoption, significant potential remains for advancing augmented reality (AR)-based remote collaboration methodologies. Though hand-drawn AR annotations (AAS) remain prevalent for visual instruction delivery, their inherent informality often proves insufficient for conveying precise operational directives in industrial contexts. Consequently, multimodal verbal communication emerges as a critical compensatory mechanism to resolve ambiguities and mitigate linguistic barriers. This research introduces a novel Spatial AR (SAR) remote collaboration platform designed to bridge this communication gap through an Adaptive Transformation of Instructions (ATI) methodology. The proposed system enables dynamic conversion of freehand annotations into standardized symbolic representations, thereby enhancing instructional clarity and fostering universal comprehension. A rigorous formative user study was conducted to evaluate the platform’s efficacy across multiple dimensions: task completion time, annotation complexity, subjective collaborative experience, system usability (via standardized rankings), and user preference metrics. Results demonstrate statistically significant improvements in user experience when ATI-based cues are integrated into remote collaborative training scenarios. Beyond practical implications, this work provides actionable insights for future investigations into AR-mediated remote collaboration within technical training environments.

Purpose Green innovation in mega transportation infrastructure projects (MTI-GI) requires balancing technological progress and economic growth with environmental protection and sustainable development. Due to the multiple participants, temporary project-based arrangements and significant spillover effects, innovation actors form highly complex and dynamic collaborative networks under the obligation of shared responsibilities. This research aims to analyze the structural characteristics and dynamic evolution of multi-actor collaborative networks of green innovation in mega transportation infrastructure projects, thereby revealing how collaborative relationships operate as a network mechanism within megaproject-based organizations. Design/methodology/approach The research compiles relevant cases from the Zhan Tianyou Award to build a database and extracts collaboration data to construct the MTI-GI collaborative network. Descriptive statistics present the temporal and spatial characteristics of the case data. Complex network modeling, including social network analysis (SNA) and the Barrat, Barthélemy and Vespignani (BBV) model, is employed to measure the static structural features and dynamic evolutionary pathways. Findings The results indicated that the past decade (i.e. 2014–2023) was pivotal for MTI-GI development. Rail transit and railway projects are the most active in implementing green innovation, and the innovation actors are distributed mainly across relatively developed regions and relatively less developed yet strategically important areas. SNA metrics revealed that the MTI-GI collaborative network remains weakly connected overall and presents a clear scale-free pattern. This underscores the dominant role of state-owned enterprises in capability-driven and responsibility-supported innovation within the temporary, multi-level and multi-stakeholder context of megaprojects. BBV evolutionary analysis further indicated that a larger evolutionary scale, preferential attachment based on comprehensive strength and fewer cooperative ties of new entrants reinforce the scale-free properties of the collaborative network. Moreover, the MTI-GI collaboration network demonstrates its dynamic feature of enabling an adaptive balance between short-term project collaboration and long-term governance capacity. Originality/value The findings of this research enhance the understanding of green innovation network governance in megaproject-based organizations and offer more refined strategies for managing multi-actor collaboration in complex systems.

Magmatic activity is crucial for identification of the tectonic framework of the ancient oceanic crust. In this study, systematic investigation, including a field survey, zircon LA-ICP-MS U-Pb dating, and whole-rock geochemical analysis, has been carried out on the intrusive quartz- and granodiorites within the Meso-Tethyan Shiquanhe Ophiolitic Mélange (SQM), Tibet. Zircon U-Pb dating yields the weighted mean ages of 174.7 ± 1.4 Ma (quartz diorite) and 178.9 ± 1.2 Ma (granodiorite), respectively, demonstrating the Early Jurassic formation age. The quartz diorite samples are metaluminous (A/NKC = 0.77–0.95) (molar/Al2O3/(CaO + Na2O + K2O)), while the granodiorite samples are weakly peraluminous (A/NKC = 0.95–1.21), and both of them exhibit tholeiitic to calc-alkaline geochemical characteristics and can be classified as I-type granites. The right-dipping rare-earth element (REE) patterns, enrichment in large ion lithophile elements (LILEs: Rb, Ba, Th), and depletion in high-field-strength elements (HFSEs: Nb, Ta, Ti), as well as relatively high (La/Yb)N ratios, are features compatible with an island arc setting. Combined with previous works, we suggest that the Shiquanhe ophiolitic mélange not only preserves records of mid-late Jurassic island arc magmatic activity but also contains evidence of island arc magmatism from the late Early Jurassic.

Mitochondrial dysfunction is closely associated with the pathogenesis of Parkinson's disease (PD). Lutein has been shown to exert protective effects in neurological disorders. This study aimed to investigate the ameliorative effects of lutein on mitochondrial function in PD and its underlying molecular mechanisms. Animal and cellular PD models were established by intraperitoneal injection of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) in mice and treatment of SH-SY5Y cells with 1-methyl-4-phenylpyridinium ion (MPP+), respectively. Motor function was assessed using the rotarod, adhesive removal, and pole tests. Mitochondrial function was evaluated using MitoSOX Red staining, JC-1 staining, and adenosine triphosphate (ATP) content measurement. Western blotting and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) were used to measure the levels of relevant proteins and mRNA. Lutein significantly ameliorated MPTP-induced motor dysfunction in PD mice, increased the number of tyrosine hydroxylase (TH)-positive neurons, and alleviated damage to striatal brain tissue. At the cellular level, lutein significantly suppressed MPP+-induced apoptosis of SH-SY5Y cells, upregulated the expression of B-cell lymphoma-2 (Bcl-2), and downregulated the expression of Bcl-2-associated X protein (Bax) and cleaved caspase-3. Additionally, lutein significantly reduced reactive oxygen species (ROS) levels, restored mitochondrial membrane potential, increased ATP levels, and increased the activity of mitochondrial respiratory chain complex I. At the molecular level, lutein promoted the ubiquitination of dynamin-related protein 1 (Drp1), whose degradation was impaired in the PD model. This effect was mediated by the E3 ubiquitin ligase Tripartite Motif-containing protein 31 (TRIM31), whose expression was downregulated in the disease state. Functional experiments confirmed that overexpression of TRIM31 enhanced Drp1 ubiquitination and improved mitochondrial function, whereas TRIM31 knockdown partially attenuated the therapeutic effects of lutein. In summary, this study revealed, for the first time, that lutein alleviates PD progression by increasing Drp1 ubiquitination and degradation via TRIM31 transcription and translation, ultimately improving neuronal mitochondrial function. These findings not only elucidate a novel mechanism underlying lutein's neuroprotective effect but also identify a potential therapeutic target and offer a new strategy for PD treatment.

Long-term cold stress during early spring transplantation induced early flowering in KRK26, a physiological response closely associated with reduced yield and quality of the flue-cured tobacco. A two-year field experiment was conducted across three locations and three transplanting periods to evaluate the agronomic traits of tobacco plants, the appearance quality and sensory quality of the flue-cured tobacco. The results showed that the early-transplanted plants were significantly inhibited in their growth and development as well as in the quality of the tobacco leaves due to the impact of low-temperature stress. To further explore the molecular regulatory mechanism of cold-induced early flowering on the quality of tobacco plants, a positioning experiment and greenhouse simulation experiment were carried out in 2024. The results showed that the early-transplanted plants experienced a long period of low-temperature exposure (<10°C), exhibited significant dwarfing, early flowering, and a significant reduction in the first-class leaf yield compared to those transplanted later. Long-term cold stress disrupted redox homeostasis, as evidenced by decreased glutathione levels and reduced activities of key antioxidant enzymes (POD and MDHAR), while increasing levels of oxidized ascorbate derivatives (DHA and MDHA). Transcriptomic analyses revealed downregulation of cytoplasmic translation processes, accompanied by activation of circadian rhythm and gibberellin homeostasis pathways. Importantly, WGBS identified methylation difference (predominantly CpG/CHG contexts) within regulatory regions of key genes, despite unchanged global methylation levels. This targeted hypomethylation resulted in transcriptional activation of key flowering regulators, including the age-pathway genes NtSPL5a and NtAP1La . In conclusion, long-term cold stress triggers early flowering and yield loss in KRK26 primarily through hypomethylation-mediated epigenetic activation of expression of key genes related to flowering. This process is further compounded by transcriptomic reprogramming and disruption of the ROS system imbalance. These findings provide a molecular foundation for developing strategies to mitigate cold-induced yield reduction in tobacco cultivation. • Long-term cold stress during early spring transplantation causes early flowering in KRK26, reducing yield and quality. • Cold stress disrupts redox homeostasis and increases oxidative damage by suppressing antioxidant enzyme activities. • Transcriptomic changes included downregulation of translation processes and activation of circadian and gibberellin pathways. • Epigenetic hypomethylation activates flowering-related genes NtSPL5a and NtAP1La, promoting early flowering.