Knowledge, attitude, and practice of embryo transfer among women who underwent in vitro fertilization-embryo transfer

Introduction:The infertile patient’s knowledge, attitude, and practice (KAP) toward embryo transfer may affect treatment outcomes and the mental health of women who underwent in vitro fertilization-embryo transfer (IVF-ET). This study aimed to investigate the KAP of embryo transfer among women who underwent IVF-ET.MethodsThis cross-sectional study was conducted on women who underwent IVF-ET at our Hospital between May 2023 and November 2023, using a self-designed questionnaire.ResultsA total of 614 valid questionnaires were finally included. The mean KAP scores were 19.46 ± 5.06 (possible range: 0 28), 39.41 ± 5.20 (possible range: 12–60), and 48.02 ± 6.75 (possible range: 0–60), respectively. The structural equation model demonstrated that knowledge has a direct effect on attitude (β = 0.27, p < 0.001) and attitude has a direct effect on practice (β = 0.55, p < 0.001) and anxiety (β = 0.59, p < 0.001). Moreover, multivariable linear regression analysis showed that anxiety score [coefficient = 0.09, 95% confidence interval (CI): 0.03–0.16, p = 0.003], BMI (coefficient = 0.09, 95%CI: 0.03–0.16, p = 0.003), education (coefficient = 5.65–6.17, 95%CI: 1.09–10.7, p < 0.05), monthly per capita income (coefficient = 1.20–1.96, 95% CI: 0.21–3.07, p = 0.05), reasons for IVF (coefficient = −1.33–1.19, 95% CI: −2.49–0.09, p < 0.05), and more than 5 years of infertility (coefficient = −1.12, 95% CI: −2.11–0.13, p = 0.026) were independently associated with sufficient knowledge. Knowledge (coefficient = 0.19, 95% CI: 0.12–0.26, p < 0.001), anxiety (coefficient = 0.39, 95% CI: 0.34–0.45, p < 0.001), monthly per capita household income >10,000 (coefficient = 1.52, 95% CI: 0.61–2.43, p < 0.001), and three or more cycles of embryo transfer (coefficient = −2.69, 95% CI: −3.94–1.43, p < 0.001) were independently associated with active attitude. Furthermore, attitude (coefficient = 0.21, 95% CI: 0.11–0.30, p < 0.001) and anxiety (coefficient = 0.57, 95% CI: 0.49–0.65, p < 0.001) were independently associated with proactive practice.DiscussionWomen who underwent IVF-ET had inadequate knowledge and negative attitudes but proactive practice toward embryo transfer, which were affected by anxiety, income, and reasons for IVF. It is necessary to strengthen the continuous improvement of patient education to improve the management of embryo transfer

Food freshness recognition method based on improved ResNet model

Objective: Solve the problems of low detection efficiency and poor accuracy in existing food freshness recognition methods. Methods: Based on the food production line image acquisition system, an improved residual neural network model was proposed for food freshness recognition on the production line. The improved LRELU activation function was introduced to improve the recognition performance of the model, the batch normalization layer was introduced to improve the training efficiency of the model, and the Dropout layer was introduced to discard a certain proportion of neurons to reduce the impact of over fitting. Results: Compared with conventional food freshness recognition methods, the experimental method could accurately and efficiently achieve food freshness recognition, with an overall freshness recognition accuracy of ＞97%, average recognition time of 9.8 ms, which meet the needs of food production lines for freshness recognition. Conclusion: The detection method based on deep learning is a non-destructive, efficient, and high-precision method for recognizing the freshness of food images

Optimizing the Performance of Solo Duck Wave Energy Converter in Tide

The high efficiency performance of the Edinburgh Duck wave energy converter (WEC) in 2D regular wave tests makes it a promising wave energy conversion scheme. A solo Duck WEC will be able to apply the point absorber effect to further enhance its performance. Since released degree of freedom will decrease the efficiency, a Duck WEC with fixed pitching axis will be a better option. However, for fixed supported WECs, tide is a non-ignorable consideration. In this paper, a movable mass method is utilized in the whole tidal range to not only balance the Duck to appropriate beak angles, but also follow the variation of hydrodynamic coefficients to keep cancelling the reactance of the system impedance so that complex conjugate control can be realized to optimize the power capture performance of the Duck WEC in tide. Results show that the beak angle should be adjusted to as large a value as possible so that the response amplitude of the Duck at maximum relative capture width will be reasonable small, and the lowest weight of the movable mass is found when its designed position locates at the center of the Duck profile

洪泽湖大型水生植物群落结构和时空格局的GIS模拟

2010—2011年对洪泽湖大型水生植物进行了4个季度全面的调查和研究,共发现大型水生植物8科12种,其中沉水植物9种,挺水植物1种,浮叶植物2种。马来眼子菜(Potamogeton malaianus)、微齿眼子菜(P.maackianu)、篦齿眼子菜(P.pectinatus)和菹草(P.crispus)为全年优势度较高的水生植物,但4个季节大型水生植物的优势种类组成差异明显。秋季的水草生物量最高,其次为夏季和冬季,春季最低。结合GPS(Global Position System)和GIS(Geographic Information System),利用GIS的Kring插值法对洪泽湖大型水生植物总生物量及主要优势物种的时空分布进行了可视化模拟。结果发现洪泽湖现阶段大型水生植物分布区域主要集中在湖区北部水质较好、透明度较高且相对封闭的成子湖区。文章也分析了洪泽湖大型水生植物变迁的潜在影响因子,为水生植物保护和生态系统健康提供了基础依据

A multi-objective honey badger approach for energy efficiency enhancement of the hybrid pressure retarded osmosis and photovoltaic thermal system

The pressure retarded osmosis process is emerging as one of the most promising technologies for extracting renewable energy from salinity gradient resources. The hybrid system of the pressure retarded osmosis and photovoltaic/thermal systems is capable of effectively improving overall energy efficiency. The prime research focus of hybrid energy systems is to produce environment-friendly solutions by minimizing energy consumption and improving energy efficiency. Due to the increasing demand for intelligent computing, the challenges of maximum power extraction and efficient energy management have attracted the attention of researchers around the world. Thus, a Honey Badger Approach based energy management strategy is proposed to solve the problem of performance enhancement in the pressure retarded osmosis and photovoltaic/thermal system by maximizing the multi-variable functions. The Honey badger approach uses global sight to tackle the optimization of multiple objectives and to achieve optimal solutions. The proposed energy management method is tested with various types of operational environments, including variations in the operational temperature, solar irradiance and ambient temperature in regard to detrimental effects. The practical hourly data of Perth for a year is utilized to simulate the actual operating conditions. The simulation results indicate that the proposed energy management method overwhelms other competing approaches with better energy efficiency, thereby ensuring the continuity of energy supply and improving the reliability of the system