Subjects: Nursing >> Nursing submitted time 2023-12-22
Abstract： Objective To explore the application effect of multi-dimensional interactive teaching method Based on the concept of OBE (Outcome Based Education) in the cultivation of comprehensive quality and ability of clinical nursing undergraduates.Methods 70 undergraduate clinical nursing interns were divided into control grouPand observation group, 35 in each grouPaccording to random number table method. The control grouPreceived routine clinical teaching, and the observation grouPreceived multi-dimensional interactive teaching based on OBE concept. The implementation period of both groups was 1 month. After the implementation, the performance of the two groups' specialized theoretical knowledge and skills operation assessment was observed, and their comprehensive quality and ability of clinical nursing was assessed.Results After 1 month, the theoretical and technical performance of the observation grouPwas higher than that of the control grouP(P＜0.05). The evaluation of clinical nursing comprehensive quality and ability of nursing students was higher than that of control grouP(P＜0.05).Conclusion The multi-dimensional interactive teaching method based on the OBE concept can effectively stimulate the learning interest of nursing students, improve the mastery of specialized knowledge, and improve the comprehensive quality and ability of clinical nursing such as independent learning, clinical management ability, clinical nursing thinking, teamwork and nurse-patient communication, which can be promoted and applied in clinical teaching practice.
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Subjects: Statistics >> Social Statistics submitted time 2023-12-04 Cooperative journals: 《智慧农业（中英文）》
Abstract： Objective The width of maize stalks is an important indicator affecting the lodging resistance of maize. The measurement of maize stalk width has many problems, such as cumbersome manual collection process and large errors in the accuracy of automatic equipment collection and recognition, and it is of great application value to study a method for in-situ detection and high-precision identification of maize stalk width. Methods The ZED2i binocular camera was used and fixed in the field to obtain real-time pictures from the left and right sides of maize stalks together. The picture acquisition system was based on the NVIDIA Jetson TX2 NX development board, which could achieve timed shooting of both sides view of the maize by setting up the program. A total of maize original images were collected and a dataset was established. In order to observe more features in the target area from the image and provide assistance to improve model training generalization ability, the original images were processed by five processing methods: image saturation, brightness, contrast, sharpness and horizontal flipping, and the dataset was expanded to 3500 images. YOLOv8 was used as the original model for identifying maize stalks from a complex background. The coordinate attention (CA) attention mechanism can bring huge gains to downstream tasks on the basis of lightweight networks, so that the attention block can capture long-distance relationships in one direction while retaining spatial information in the other direction, so that the position information can be saved in the generated attention map to focus on the area of interest and help the network locate the target better and more accurately. By adding the CA module multiple times, the CA module was fused with the C2f module in the original Backbone, and the Bottleneck in the original C2f module was replaced by the CA module, and the C2fCA network module was redesigned. Replacing the loss function Efficient IoU Loss(EIoU) splits the loss term of the aspect ratio into the difference between the predicted width and height and the width and height of the minimum outer frame, which accelerated the convergence of the prediction box, improved the regression accuracy of the prediction box, and further improved the recognition accuracy of maize stalks. The binocular camera was then calibrated so that the left and right cameras were on the same three-dimensional plane. Then the three-dimensional reconstruction of maize stalks, and the matching of left and right cameras recognition frames was realized through the algorithm, first determine whether the detection number of recognition frames in the two images was equal, if not, re-enter the binocular image. If they were equal, continue to judge the coordinate information of the left and right images, the width and height of the bounding box, and determine whether the difference was less than the given Ta. If greater than the given Ta, the image was re-imported; If it was less than the given Ta, the confidence level of the recognition frame of the image was determined whether it was less than the given Tb. If greater than the given Tb, the image is re-imported; If it is less than the given Tb, it indicates that the recognition frame is the same maize identified in the left and right images. If the above conditions were met, the corresponding point matching in the binocular image was completed. After the three-dimensional reconstruction of the binocular image, the three-dimensional coordinates (Ax, Ay, Az) and (Bx, By, Bz) in the upper left and upper right corners of the recognition box under the world coordinate system were obtained, and the distance between the two points was the width of the maize stalk. Finally, a comparative analysis was conducted among the improved YOLOv8 model, the original YOLOv8 model, faster region convolutional neural networks (Faster R-CNN), and single shot multiBox detector (SSD)to verify the recognition accuracy and recognition accuracy of the model. Results and Discussions The precision rate (P)、recall rate (R)、average accuracy mAP0.5、average accuracy mAP0.5:0.95 of the improved YOLOv8 model reached 96.8%、94.1%、96.6% and 77.0%. Compared with YOLOv7, increased by 1.3%、1.3%、1.0% and 11.6%, compared with YOLOv5, increased by 1.8%、2.1%、1.2% and 15.8%, compared with Faster R-CNN, increased by 31.1%、 40.3%、46.2%、and 37.6%, and compared with SSD, increased by 20.6%、23.8%、20.9% and 20.1%, respectively. Respectively, and the linear regression coefficient of determination R2, root mean square error RMSE and mean absolute error MAE were 0.373, 0.265 cm and 0.244 cm, respectively. The method proposed in the research can meet the requirements of actual production for the measurement accuracy of maize stalk width. Conclusions In this study, the in-situ recognition method of maize stalk width based on the improved YOLOv8 model can realize the accurate in-situ identification of maize stalks, which solves the problems of time-consuming and laborious manual measurement and poor machine vision recognition accuracy, and provides a theoretical basis for practical production applications.
Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：大数据时代给人们带来了全新的信息获取和阅读方式，这也意味着新闻传播面临的挑战更多。在这一背景下，相关人员应当全面研究分析新闻传播工作，从整体上做到对大数据发展及社会动态的充分掌握，并且应当根据各方需求，有效地创新新闻传播工作，做好对新平台的引入，如此才可以使新闻传播的发展更加全面。本文以大数据时代为背景，首先分析了创新新闻传播的要点，然后探讨了大数据技术给新闻传播带来了哪些影响，最后以此为基础，研究应当如何创新新闻传播工作，以供参考。
Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：移动互联网时代,手机镜头配合摄影后期APP,使手机摄影的功能越发专业和强大。不仅越来越多的普通群众使用手机记录生活更多的专业人像摄影师也都选择了更为便携的手机进行人像写真的拍摄。在日常生活中,将手机人像拍摄与摄影APP的后期相结合,能够快速展现良好的画面效果和进行网络传播。
Subjects: Library Science，Information Science >> Information Science submitted time 2023-07-04
Abstract： [Purpose/Significance] “Neck Stuck” technology is the key point that restricts the high-quality development of China’s strategic emerging industries at the present stage. To ensure the independent security control of the industrial chain, it is necessary to identify the “Neck Stuck” technology efficiently and accurately. [Method/Process] This study utilizes patent literature as the main data source. Firstly, key core technologies are selected based on technical co-occurrence network measurements. Secondly, the relationship between latecomer advantages and independent innovation capabilities is comprehensively considered from the perspective of technical gaps and technical-economic security. A “Neck Stuck” technology identification index system is designed across four dimensions: technical value advantage, technical competition advantage, technical monopoly status, and independent controllability. Then, a systematic “Neck Stuck” technology identification model is constructed using the CRITIC-TOPSIS method. Finally, empirical research is conducted in the field of numerical control machine tools. [Result/Conclusion] The results of the identification process using the proposed method in this study reveal the existence of 34 potential “Neck Stuck” technologies in the field of numerical control machine tools in China. These technologies are primarily concentrated in the control or adjustment system, key functional components, turning or boring numerical control machine tools, and digital data processing. A comparison of these findings with the U.S. Commerce Control List confirms the high degree of consistency, thus validating the feasibility and reliability of the proposed method.
Subjects: Agriculture, Forestry,Livestock & Aquatic Products Science >> Other Disciplines of Agriculture, Forestry,Livestock & Aquatic Products Science submitted time 2023-02-17 Cooperative journals: 《智慧农业（中英文）》
Abstract： Smart farming for field crops is a significant part of the smart agriculture. It aims at crop production, integrating modern sensing technology, new generation mobile communication technology, computer and network technology, Internet of Things(IoT), big data, cloud computing, blockchain and expert wisdom and knowledge. Deeply integrated application of biotechnology, engineering technology, information technology and management technology, it realizes accurate perception, quantitative decision-making, intelligent operation and intelligent service in the process of crop production, to significantly improve land output, resource utilization and labor productivity, comprehensively improves the quality, and promotes efficiency of agricultural products. In order to promote the sustainable development of the smart farming, through the analysis of the development process of smart agriculture, the overall objectives and key tasks of the development strategy were clarified, the key technologies in smart farming were condensed. Analysis and breakthrough of smart farming key technologies were crucial to the industrial development strategy. The main problems of the smart farming for field crops include: the lack of in-situ accurate measurement technology and special agricultural sensors, the large difference between crop model and actual production, the instantaneity, reliability, universality, and stability of the information transmission technologies, and the combination of intelligent agricultural equipment with agronomy. Based on the above analysis, five primary technologies and eighteen corresponding secondary technologies of smart farming for field crops were proposed, including: sensing technologies of environmental and biological information in field, agricultural IoT technologies and mobile internet, cloud computing and cloud service technologies in agriculture, big data analysis and decision-making technology in agriculture, and intelligent agricultural machinery and agricultural robots in fireld production. According to the characteristics of China's cropping region, the corresponding smart farming development strategies were proposed: large-scale smart production development zone in the Northeast region and Inner Mongolia region, smart urban agriculture and water-saving agriculture development zone in the region of Beijing, Tianjin, Hebei and Shandong, large-scale smart farming of cotton and smart dry farming green development comprehensive test zone in the Northwest arid region, smart farming of rice comprehensive development test zone in the Southeast coast region, and characteristic smart farming development zone in the Southwest mountain region. Finally, the suggestions were given from the perspective of infrastructure, key technology, talent and policy.
Subjects: Biology >> Botany submitted time 2022-09-03 Cooperative journals: 《广西植物》
Abstract： Bei-dou-gen, the rhizome of Menispermum dauricum. from the Menispermaceae family, is an important Chinese medicinal material. In order to provide an effective reference for the study on the pharmacological substance basis and the rational utilization of medicinal plant resources, the methanol extract of the rhizome of M. dauricum was systematically isolated and purified using various chromatographic methods and the structures of isolated compounds were identified. And thre potential anti-inflammatory effect of obtained compounds from M. dauricum DC.was messured in vitro. In this study, the chemical constituents were separated via silica gel column chromatography, macroporous adsorption resin, and preparative HPLC and their structures were determined on the basis of MS, 1H NMR, 13C NMR, and other spectroscopic data analysis, as well as comparison with relevant literatures. Meanwhile, the anti-inflammatory activities of against NO and IL-6 production from LPS-stimulated RAW264.7 cells of the chemical components were evaluated in vitro. The results were as follows: (1) Fifteen compounds were isolated from the rhizome of Menispermum dauricum DC., and identified as p-hydroxybenzaldehyde (1), vanilic acid (2), syringaldehyde (3), 2-hydroxy-1-(4-hydroxy-3,5-dimethoxyphenyl)-1-propanone (4), methyl 4-hydroxyphenylacetate (5), 2-(4-hydroxyphenyl)-1-nitroethane (6), 4-hydroxyphenylacetonitrile (7), dibutyl phthalate (8), fragransin B2 (9), 7-hydroxy-3,6-dimethoxy-1,4-phenanthraquinone (10), palmitic acid (11), arachidic acid (12), β-sitosterol (13), β-stigmasterol (14), and daucosterol (15). Among them, compounds 4-7, 9, and 12 were isolated from Menispermaceae for the first time, while compounds 1, 3-11, and 14 were first reported from Menispermum genus. The above compounds were all non-alkaloids components, including phenols, lignans, phenoquiones, fatty acids, and sterols, which enlarged the types of compounds and enriched the phytochemical information of the rhizome of M. dauricum DC. (2) Anti-inflammatory assays in vitro showed that compound 12 could significantly inhibited releases of NO and IL-6 induced by LPS from RAW 264.7 cells at the concentrations of 25 and 50 μg·mL﹣1, indicating potential anti-inflammatory effect.
Subjects: Dynamic and Electric Engineering >> Engineering Thermophysics Subjects: Energy Science >> Engineering of Energy Sources System submitted time 2017-03-22 Cooperative journals: 《工程热物理学报》
Abstract：为了深入研究切变入流条件下大型风电机组尾流效应的非定常特性，以NREL 5MW大型海上风电机组为研究对象，建立了机组三维整机流场的全尺度结构化网格模型，基于滑移网格方法开展了风电机组额定工况下尾流效应的非定常数值模拟研究，并通过与NREL报告数据对比验证了模拟方法的可靠性。分析了风切变、机舱塔筒、叶片旋转等多种因素综合影响下风电机组性能参数的周期性变化规律，探讨了切变入流对尾流区风速分布的影响， 以及尾流涡系的结构与发展情况。
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