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Background: Ovarian Hyperstimulation Syndrome (OHSS) is a severe complication of assisted reproductive therapy. Patients with severe OHSS are complicated with pleuroperitoneal effusion, while isolated pleural effusion is clinically rare. Previous studies have shown that isolated unilateral pleural effusion caused by OHSS mostly involves the right side. Among the 14 patients with severe OHSS complicated with isolated pleural effusion admitted to our hospital from April 2020 to December 2024, the proportion of right-sided effusion was 85.71%, which was consistent with the literature reports. All patients recovered and were discharged after multidisciplinary diagnosis, treatment and nursing care. This study aimed to summarize the nursing experience and provide a reference for clinical practice. Methods: A retrospective analysis was conducted on the nursing methods for 14 patients with severe OHSS complicated by isolated pleural effusion (IPE) who underwent puncture and drainage between April 2020 and December 2024. Results: All 14 patients completed thoracentesis and drainage, their symptoms were controlled, and each patient quickly navigated the critical period. Conclusions: Dynamic patient monitoring of the condition, standardized preoperative preparation, full-cycle catheter management, individualized psychological care, and multi-dimensional thrombosis prevention represent the main nursing measures for patients with severe OHSS complicated by IPE undergoing thoracentesis and drainage.

Unlike chemosynthetic drugs designed for specific molecular and disease targets, active small-molecule natural products typically have a wide range of bioactivities and multiple targets, necessitating extensive screening and development. To address this issue, we propose a strategy for the direct in situ microdynamic examination of potential drug candidates to rapidly identify their effects and mechanisms of action. As a proof-of-concept, we investigated the behavior of mussel oligosaccharide (MOS-1) by tracking the subcellular dynamics of fluorescently labeled MOS-1 in cultured cells. We recorded the entire dynamic process of the localization of fluorescein isothiocyanate (FITC)-MOS-1 to the lysosomes and visualized the distribution of the drug within the cell. Remarkably, lysosomes containing FITC-MOS-1 actively recruited lipid droplets, leading to fusion events and increased cellular lipid consumption. These drug behaviors confirmed MOS-1 is a candidate for the treatment of lipid-related diseases. Furthermore, in a high-fat HepG2 cell model and in high-fat diet-fed apolipoprotein E (ApoE)−/− mice, MOS-1 significantly promoted triglyceride degradation, reduced lipid droplet accumulation, lowered serum triglyceride levels, and mitigated liver damage and steatosis. Overall, our work supports the prioritization of in situ visual monitoring of drug location and distribution in subcellular compartments during the drug development phase, as this methodology contributes to the rapid identification of drug indications. Collectively, this methodology is significant for the screening and development of selective small-molecule drugs, and is expected to expedite the identification of candidate molecules with medicinal effects. [Display omitted] •In situ micro-dynamic examinations of drug candidates enables the rapid elucidation of their underlying mechanisms.•MOS-1 enhanced the interaction between lipid droplets and lysosomes.•MOS-1 effectively alleviated the characteristics associated with NAFLD by reducing hepatic triglyceride levels.

Purpose In vitro fertilization and embryo transfer (IVF-ET) has become crucial for infertile couples. Previous studies have suggested that multiple ETs are associated with increased risks of preterm birth and low birth weight. The current study aims to investigate this association. Methods PubMed, Cochrane Library, EMBASE, ScienceDirect, and China National Knowledge Infrastructure databases were systematically searched. Network meta-analysis was performed to compare the associations between different numbers of embryo transfers (≥ 2) and the incidence rates of preterm birth and low birth weight. Consistency and inconsistency models were applied to ensure reliability. Frequentist statistical methods used data integration. The surface under the cumulative ranking curve (SUCRA) value was used to rank the risks of preterm birth and low birth weight associated with varying numbers of ETs. Results There was a significant difference in the incidence of low birth weight between the 2-ET and 4-ET groups. The 4-ET group had the highest risks for preterm birth and low birth weight. Conclusion Multiple ETs are associated with increased risks of preterm birth and low birth weight. This study highlights the need for tailored clinical strategies to optimize pregnancy outcomes and mitigate complications.

Breast cancer (BRCA) remains the leading cause of cancer-related mortality worldwide, with lipid metabolism emerging as a critical factor in tumor progression that influences cell proliferation, migration, and immune response. Insights into lipid metabolism signatures and associated genes may offer new prognostic and therapeutic avenues. In this study, we leveraged scRNA-seq and bulk transcriptome data to assess the expression patterns and prognostic significance of lipid metabolism-related genes in BRCA. Through single-cell transcriptomic analysis of primary BRCA samples, we identified a specific set of lipid metabolism signature genes and constructed a prognostic risk model based on these signatures. This model enables patient stratification by risk scores, supporting an integrated analysis of lipid metabolism, immune landscape, and clinical outcomes. Importantly, we identified CEBPD, ABCA1, and CYP27A1 as independent prognostic genes linked to lipid metabolism, with functional assays revealing an inhibitory role for CEBPD in BRCA cell proliferation. Our findings underscore the influence of adipocytes in BRCA progression and propose CEBPD as a potential target for therapeutic intervention. This study provides a foundation for further exploration of metabolism-based strategies to enhance BRCA outcomes.

F326.1; [目的]研究农业低碳化发展趋势及其驱动因素.[方法]基于农业碳排放,以黑土地区为研究区域,选取黑龙江省大庆市为研究对象,应用大庆市 2010-2020 年统计数据,采用碳足迹、脱钩理论、驱动因素进行联合分析,计算大庆市碳吸收与碳排放,揭示降低大庆市碳排放最有效的驱动因素.[结果]①相对于其播种面积而言,大庆市的碳足迹总体上呈下降的趋势,说明全市农田生态环境的发展较为乐观;②大庆市农业碳排放脱钩特征主要以弱脱钩为主,表明农业产值保持高速增长,发展态势良好,还有较大的低碳发展潜力;③提高农业生产效率是降低该市农业碳排放量的关键.[结论]因此,大庆市未来一段时间仍应关注农业生产效率,进一步推动农机使用效率、农业机械的创新与研发等.

Blastomycosis is endemic in central and southern North America but rare in China. It can mimic community-acquired pneumonia, tuberculosis, or cancer. We describe a patient who initially had tuberculosis diagnosed and later had blastomycosis diagnosed through metagenomic detection, which aided diagnosis and treatment. Clinicians should consider blastomycosis in differential diagnoses for respiratory diseases.

Modern automotive propulsion technologies must achieve the highest CO2 reduction potential quickly to abide by the requirements of the Paris Climate Agreement. A collective utilization of renewable fuels, e‐fuels, hydrogen, and electrical energy will be able to meet different mobility and transport requirements in an optimal and CO2‐neutral approach. The well‐to‐wheel greenhouse gas emissions of a propulsion system are determined by two factors, that is, the energy efficiency of the system and the carbon intensity of the energy source. Regardless of the CO2 emission generated during the battery manufacturing and recycling process, the carbon intensity of the battery electric vehicles during operation is mainly decided by the carbon intensity of the electricity being consumed. The relatively low fleet ratios of battery electric and hydrogen‐powered vehicles and the massive remaining useful life of current internal combustion engine vehicle stock limit their impact on decarbonization in the near term. The expansion of charging infrastructure requires significant acceleration for the success of large‐scale and rapid electric vehicle adoption. For internal combustion engines, the focus is to further improve energy efficiency and the adoption of low‐to‐zero carbon renewable fuels. Hybrid and plug‐in hybrid vehicles are demonstrating the advantages of combining state‐of‐the‐art technologies to reduce both energy consumption and carbon emissions. In this review, the present status of propulsion systems is reviewed in detail, considering both the market penetration and well‐to‐wheel carbon emissions. The decarbonization potentials of various propulsion systems are then discussed. In this review, the present status of propulsion systems is reviewed in detail, considering both the market penetration and life‐cycle carbon emissions. The decarbonization potentials of various propulsion systems are discussed.

The interfacial and functional properties of water-soluble protein (WP) from honeybee pupa are highly sensitive to environmental conditions, which govern its applicability in food systems. This study investigated the effects of pH (3–11), ionic strength (0–1 M NaCl), and sucrose concentration (0–1 M) on the colloidal behavior, surface hydrophobicity, sulfydryl exposure, functional properties, and interfacial characteristics of WP. These findings provide valuable reference data for future processing of bee pupa protein. Acidic conditions (pH 3) resulted in a high surface hydrophobicity (H0). Conversely, alkaline conditions enhanced protein interfacial activity. Specifically, the foaming capacity (FC) increased significantly with pH, reaching 90.88% at pH 11, which was approximately 2.5 times higher than that at pH 5 (35.10%). Moderate ionic strength (≤0.05 M NaCl) exerted minimal effects on particle size, while high salt levels (≥0.5 M) promoted aggregation via salting-out, increasing H0 from 219.91 (0 M) to 459 (1 M). Sucrose had little impact on particle size but significantly altered system viscosity. Interfacial measurements confirmed that moderate ionic strength (0.05 M NaCl) combined with sucrose addition (0.05 M) improved protein spreadability, yielding low contact angles of 9.60° and 9.93°, respectively. From the perspective of oil–water interfacial tension, increased pH and moderate sucrose concentrations reduce interfacial tension, promoting protein adsorption, whereas high salt and high sugar concentrations inhibit surfactant activity. Functional property evaluations indicated that alkaline conditions enhance foaming and emulsifying activity. Under conditions near pH 5, both foam and emulsion stability were optimal (foam stability ~99.95%), while the emulsifying capacity (~64.83%) was achieved at pH 11. As ion concentration increases, EC decreases. Sucrose concentration has no significant effect on emulsifying properties. These findings provide a quantitative reference for the tailored processing of honeybee pupa protein as a functional ingredient in food systems.

Road safety is important for the rapid development of the economy and society. Thus, it is of great significance to monitor the dynamic changing processes of road diseases, such as cavities, to provide a basis for the daily maintenance of roads and prevent any possible car accidents. The ground penetrating radar (GPR) technology is widely used in road disease detection due to its advantages of nondestructiveness, rapidness, and high resolution. Traditionally, one-time 2D GPR detection cannot obtain the 3D spatial changes of subgrades. Thus, we developed a road subgrade monitoring method based on the time-lapse full-coverage (TLFC) 3D GPR technique by focusing on solving the key problems of time and spatial position mismatches in experimental data. Moreover, we used the time zero consistency correction, 3D data combination, and spatial position matching methods, as they greatly improve the 3D imaging quality of underground spaces. Finally, the time-lapse attribute analysis method was used in the TLFC 3D GPR data to obtain detailed characteristics and an overall rule of the dynamic subgrade change. Overall, this research proves that TLFC 3D GPR is an optimal choice for road subgrade monitoring.

Restoring multi-weather-degraded images is significant for subsequent high-level computer vision tasks. However, most existing image restoration algorithms only target single-weather-degraded images, and there are few general models for multi-weather-degraded image restoration. In this paper, we propose a diffusion model for multi-weather-degraded image restoration, namely a universal transformer-based diffusion model (UTDM) for multi-weather-degraded images restoration, by combining the denoising diffusion probability model and Vision Transformer (ViT). First, UTDM uses weather-degraded images as conditions to guide the diffusion model to generate clean background images through reverse sampling. Secondly, we propose a Cascaded Fusion Noise Estimation Transformer (CFNET) based on ViT, which utilizes degraded and noisy images for noise estimation. By introducing cascaded contextual fusion attention in a cascaded manner to compute contextual fusion attention mechanisms for different heads, CFNET explores the commonalities and characteristics of multi-weather-degraded images, fully capturing global and local feature information to improve the model’s generalization ability on various weather-degraded images. UTDM outperformed the existing algorithm by 0.14–4.55,dB on the Raindrop-A test set, and improved by 0.99 dB and 1.24 dB compared with Transweather on the Snow100K-L and Test1 test sets. Experimental results show that our method outperforms general and specific restoration task algorithms on synthetic and real-world degraded image datasets. Code and dataset are available at: https://github.com/RHEPI/UTDM .