Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：【目的】设计建设新一代智能媒资融媒内容管理应用平台。【方法】基于统一云基础后台，以内容中台、智能中台、数据中台为中台能力保障，以云计算、微服务、中台处理、大数据等先进技术能力为支撑，建设统一门户，全媒体支持，多种AI智能功能应用，多种网络平台文件通联。【结果】通过对平台总体要求、框架设计、系统网络、网络安全、业务流程，业务功能等的优化设计，完成最终建设设计方案。【结论】本次设计的智能媒资业务应用平台，具备可持续扩展能力，可以持续赋能保障融媒时代下全媒体媒资内容智能生产管理和应用，也将有力地推动南京广电集团媒体融合智能化发展。
Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：为了更好地利用天线塔空间资源，避免天线空间距离过近造成互相干扰，影响发射机的性能。本文根据实际调频天线系统改造的设计和实施过程，对实际遇到的问题进行分析和探讨，并对相关改造工作提出了建议。
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] The effective identification of high-impact users in online health communities is helpful for demanders to find valuable health information, which is of great significance for reducing the cost of health information search and improving the effectiveness of health behavior decision-making. [Method/process] This study was from the perspective of interactivity of users and emotional tendency of comments, using PageRank and SVM algorithm to build a method to measure the users’ influence in online health community, and took the medical network as experimental object, from the angle of content use value, further calculated the comprehensive influence of users in the community, and in case the user is analyzed. [Result/conclusion] The results show that the algorithm is reasonable and can optimize the calculation results of PageRank algorithm. At the same time, the TF-IDF and Mutual Information algorithm are used to reveal that the information content published by high comprehensive influence users is basically consistent with content topics of other user groups in the community, and such users play a certain role in guiding the theme direction of the community. Therefore, the method constructed in this study can effectively and reasonably identify high-impact users, which is helpful for health demanders to find the required information timely and accurately, improving the effect of using health information, so as to enrich the theoretical and practical research on the information behavior of users in online health communities.
Subjects: Dynamic and Electric Engineering >> Engineering Thermophysics submitted time 2018-02-01 Cooperative journals: 《工程热物理学报》
Abstract： Development of sodium-based solid sorbents for decreasing CO2 emission from coal-fired power plants is receiving爉ore燼nd more燼ttention. Its carbonation behaviors have been studied recently, and it is understood that its primary downfall is the slow reaction with CO2 during adsorption process. TiO2 is examined as a potential dopant for sodium-based solid sorbent based CO2 capture process in a bubbling fluidized-bed. SEM, XRD and Nitrogen Adsorption characterizations of Na2CO3/Al2O3 doped with TiO2 indicate that TiO2 is stable within the temperature range necessary for such a process. More importantly, TiO2 has a positive effect on the carbonation of Na2CO3 and the reaction rate, as well as the CO2 uptake, is observed to increase obviously. Carbonate reaction products are NaHCO3 and Na5H3(CO3)4. TiO2 has little effect on the regeneration of sorbent.Despite this, the loading of TiO2 should be limited, because too much TiO2 doped may block the microstructure of sorbent which is unfavourable to carbonate reaction.
Subjects: Dynamic and Electric Engineering >> Engineering Thermophysics submitted time 2017-11-07 Cooperative journals: 《工程热物理学报》
Abstract：本文在传统燃煤发电机组和氢氧联合循环的基础上，提出一种新型的氢氧一燃煤联合循环系统。该系统把超超临界燃煤机组与氢氧联合循环相藕合，实现了氢能和燃煤的高效利用，丰富了两种燃料的利用形式。本文使用EBSILON对该系统进行了初步模拟，研究结果表明，该系统在蒸汽初压为25.6MPa，最高温度为1300℃时，发电效率可达到49.74，并可通过提高循环最高温度和燃气透平膨胀比达到更高的发电效率。
Subjects: Biology >> Zoology submitted time 2017-10-11 Cooperative journals: 《动物营养学报》
Abstract：本试验旨在研究补喂瘤胃液制备物对羔羊肠道黏膜和血浆中免疫球蛋白含量的影响，探讨瘤胃液制备物对新生羔羊肠道黏膜免疫及体液免疫的影响。选取50只初生体重接近的新生羔羊为模型动物，随机分为5组，每组10只。试验组羔羊1日龄开始补喂健康成年绵羊瘤胃液制备物[瘤胃液(Ⅰ)、灭菌瘤胃液(Ⅱ)、超声波破碎瘤胃液(Ⅲ)和灭菌超声波破碎瘤胃液(Ⅳ）]，对照组羔羊补喂等量生理盐水，每天1次，连续5 d。在24日龄时每组选取3只羔羊屠宰，采集肠道黏膜；在羔羊14和28日龄时颈静脉采血并分离血浆。测定肠道黏膜及血浆中免疫球蛋白含量。结果显示：1）小肠黏膜蛋白质中，各试验组免疫球蛋白A(IgA)、分泌型免疫球蛋白A（SIgA）和免疫球蛋白G（IgG）总量均高于对照组。其中，试验Ⅲ组IgA总量极显著高于对照组（P0.05）。总体来说，免疫球蛋白含量变化趋势为回肠>十二指肠>空肠，试验Ⅲ组免疫球蛋白总量较对照组增加较多。2）血浆中，羔羊28日龄时免疫球蛋白含量均高于14日龄。14日龄时试验各组血浆中IgA含量差异不显著（P>0.05），但28日龄时试验Ⅰ组显著高于对照组（P0.05）。结果提示，给新生羔羊补喂不同处理的瘤胃液制备物均能提高羔羊肠黏膜免疫能力，补喂超声波破碎瘤胃液效果最佳。
Subjects: Materials Science >> Materials Science (General) submitted time 2017-04-10 Cooperative journals: 《材料研究学报》
Abstract：采用电子束熔丝成形工艺制备 TC18 钛合金试件，研究了其柱状晶组织的生长和晶体取向的分布规律。 结果表明，用电子束熔丝成形工艺制备的 TC18 钛合金，其宏观金相组织为沿竖直方向生长的粗大柱状晶，以 外延生长的方式从熔池底部长大。受成形过程中特殊传热条件的影响，电子束熔丝成形钛合金组织中的 TC18 钛合金晶体形成特定方向的择优取向，α、β两相晶体取向分布都有明显的规律。在成形组织外延生长的 情况下，β相向α相晶体结构的转变具有继承性。其中大多数β晶粒有方向的强丝织构，柱状晶间β相的宏 观取向也有明显的特征，分布方向集中为 TD、LD 及法面 ND。β→α转变严格遵循 Burgers 取向关系，由同一个 母相β晶粒内析出的片层α/α满足 Burgers 取向关系所要求的取向差分布，柱状晶内的α主要有 6 种取向，β→α转 变过程有较强的变体选择。
Subjects: Medicine, Pharmacy >> Preclinical Medicine submitted time 2017-12-07 Cooperative journals: 《南方医科大学学报》
Abstract： Objective To investigate the effect of thalidomide on the development of bisphosphonate-related osteonecrosis of the jaws (BRONJ). Methods Thirty-six rats were randomly divided into groups A, B and C, and treated with saline, zoledronate and zoledronate plus thalidomide, respectively. Three weeks later, the left maxillary first molars of the rats were extracted. Four and eight weeks after tooth extraction, samples were harvested for evaluation of osteonecrosis of the jaws, microvessel density, and cell apoptosis. Results At both of the time points, no exposed dead bone was observed at the extraction socket areas in the rats except for some small fistulas in groups B and C. Histological examination confirmed the absence of dead bone in group A, whereas small areas of dead bone were observed around the extraction socket in groups B and C. Compared with those in group A, the percentage of empty lacunae and the area of dead bone were significantly increased (P<0.01), whereas bone lacunae density was significantly decreased (P<0.01) in groups B and C at both time points. Microvessel density in groups B and C were also significantly decreased (P<0.01) by 25.87% and 55.27% at week 4, and by 45.62% and 72.84% at week 8, respectively; the apoptotic cells in groups B and C increased by 54.80% and 87.89% at week 4 (P<0.01), and by 208.08% and 250.58% at week 8 (P<0.01), respectively. Conclusion Thalidomide can aggravate zoledronate-induced early-stage BRONJ, and their osteonecrosis-inducing effect of the jaw may be attributed, at least partly, to the inhibition of angiogenesis.
Subjects: Statistics >> Social Statistics submitted time 2023-12-04 Cooperative journals: 《智慧农业（中英文）》
Abstract： Significance The scientific dataset of agricultural pests and diseases is the foundation for monitoring and warning of agricultural pests and diseases. It is of great significance for the development of agricultural pest control, and is an important component of developing smart agriculture. The quality of the dataset affecting the effectiveness of image recognition algorithms, with the discovery of the importance of deep learning technology in intelligent monitoring of agricultural pests and diseases. The construction of high-quality agricultural pest and disease datasets is gradually attracting attention from scholars in this field. In the task of image recognition, on one hand, the recognition effect depends on the improvement strategy of the algorithm, and on the other hand, it depends on the quality of the dataset. The same recognition algorithm learns different features in different quality datasets, so its recognition performance also varies. In order to propose a dataset evaluation index to measure the quality of agricultural pest and disease datasets, this article analyzes the existing datasets and takes the challenges faced in constructing agricultural pest and disease image datasets as the starting point to review the construction of agricultural pest and disease datasets. Progress Firstly, disease and pest datasets are divided into two categories: private datasets and public datasets. Private datasets have the characteristics of high annotation quality, high image quality, and a large number of inter class samples that are not publicly available. Public datasets have the characteristics of multiple types, low image quality, and poor annotation quality. Secondly, the problems faced in the construction process of datasets are summarized, including imbalanced categories at the dataset level, difficulty in feature extraction at the dataset sample level, and difficulty in measuring the dataset size at the usage level. These include imbalanced inter class and intra class samples, selection bias, multi-scale targets, dense targets, uneven data distribution, uneven image quality, insufficient dataset size, and dataset availability. The main reasons for the problem are analyzed by two key aspects of image acquisition and annotation methods in dataset construction, and the improvement strategies and suggestions for the algorithm to address the above issues are summarized. The collection devices of the dataset can be divided into handheld devices, drone platforms, and fixed collection devices. The collection method of handheld devices is flexible and convenient, but it is inefficient and requires high photography skills. The drone platform acquisition method is suitable for data collection in contiguous areas, but the detailed features captured are not clear enough. The fixed device acquisition method has higher efficiency, but the shooting scene is often relatively fixed. The annotation of image data is divided into rectangular annotation and polygonal annotation. In image recognition and detection, rectangular annotation is generally used more frequently. It is difficult to label images that are difficult to separate the target and background. Improper annotation can lead to the introduction of more noise or incomplete algorithm feature extraction. In response to the problems in the above three aspects, the evaluation methods are summarized for data distribution consistency, dataset size, and image annotation quality at the end of the article. Conclusions and Prospects The future research and development suggestions for constructing high-quality agricultural pest and disease image datasets based are proposed on the actual needs of agricultural pest and disease image recognition:(1) Construct agricultural pest and disease datasets combined with practical usage scenarios. In order to enable the algorithm to extract richer target features, image data can be collected from multiple perspectives and environments to construct a dataset. According to actual needs, data categories can be scientifically and reasonably divided from the perspective of algorithm feature extraction, avoiding unreasonable inter class and intra class distances, and thus constructing a dataset that meets task requirements for classification and balanced feature distribution. (2) Balancing the relationship between datasets and algorithms. When improving algorithms, consider the more sufficient distribution of categories and features in the dataset, as well as the size of the dataset that matches the model, to improve algorithm accuracy, robustness, and practicality. It ensures that comparative experiments are conducted on algorithm improvement under the same evaluation standard dataset, and improved the pest and disease image recognition algorithm. Research the correlation between the scale of agricultural pest and disease image data and algorithm performance, study the relationship between data annotation methods and algorithms that are difficult to annotate pest and disease images, integrate recognition algorithms for fuzzy, dense, occluded targets, and propose evaluation indicators for agricultural pest and disease datasets. (3) Enhancing the use value of datasets. Datasets can not only be used for research on image recognition, but also for research on other business needs. The identification, collection, and annotation of target images is a challenging task in the construction process of pest and disease datasets. In the process of collecting image data, in addition to collecting images, attention can be paid to the collection of surrounding environmental information and host information. This method is used to construct a multimodal agricultural pest and disease dataset, fully leveraging the value of the dataset. In order to focus researchers on business innovation research, it is necessary to innovate the organizational form of data collection, develop a big data platform for agricultural diseases and pests, explore the correlation between multimodal data, improve the accessibility and convenience of data, and provide efficient services for application implementation and business innovation.
Subjects: Nursing >> Nursing submitted time 2023-01-16
Abstract：
This paper summarizes the nursing experience of outpatient treatment of a patient with lumbar disc herniation. Through the intervention of paravertebral nerve block and peri-treatment nursing, the patient's pain symptoms were improved, the patient's anxiety was alleviated, and the patient's quality of life was improved.
Subjects: Nursing >> Nursing submitted time 2023-01-16
Abstract：
Objective To explore the effect of nursing intervention on patients with lumbar disc herniation and low back pain who found that blood sugar was elevated before treatment. Methods A patient with lumbar disc herniation and low back pain with elevated blood sugar was selected, and the blood sugar monitoring before and after treatment was compared, and health education on life, diet and exercise was carried out. Scale comparison. Results In patients with lumbar disc herniation combined with low back pain and elevated blood sugar, after nursing intervention, the patient's pain was relieved, and the blood sugar decreased, which could be maintained at a stable level, which improved the patient's satisfaction and improved the patient's quality of life!
Subjects: Nursing >> Nursing submitted time 2023-01-17
Abstract：
This article summarized the nursing experience of a case of insomnia treated by auricular point sticking combined with stellate ganglion block. The conclusions reached: the combination of auricular point sticking and stellate ganglion block in the treatment of insomnia, combined with careful care before, during and after the treatment, not only can improve the treatment effect and reduce the recurrence rate, under the guidance of TCM syndrome differentiation nursing theory, adopt united auricular point sticking intervention, at the same time, cooperate the routine nursing interventions such as diet, emotion and life can achieve the goal of alleviating clinical symptoms, Auricular point sticking combined with stellate ganglion block in the treatment of insomnia can significantly improve the quality of sleep and has obvious effect on insomnia.
Subjects: Medicine, Pharmacy >> Preclinical Medicine submitted time 2017-12-27 Cooperative journals: 《南方医科大学学报》
Abstract： Objective To investigate the impact of heart valve calcification (HVC) on cardiovascular outcomes in patients on maintenance hemodialysis (MHD). Methods We enrolled 302 Chinese patients on MHD between 2009 and 2011 including 99 with HVC identified by echocardiography screening. All the patients were followed up for 2 years and survival analysis was performed with all-cause mortality, cardiovascular mortality and new onset cardiovascular events as the endpoints. Cox regression analysis was used for analyzing the impact of heart valve calcification on the cardiovascular outcomes of the patients. Results The mean age of the total patients was 58.2�5.0 years when receiving the initial MHD, and 53.6% were male patients. The overall mortality, cardiovascular mortality and new on-set cardiovascular events in HVC and non-HVC groups were 30.3% vs 16.3% , 22.2% vs 6.9% , and 48.5% vs 25.6% , respectively (P<0.05). Kaplan-Meier survival analysis showed a significant difference in all-cause mortality (P=0.006), cardiovascular mortality (P<0.001) and new-onset cardiovascular events (P<0.001) between HVC and non-HVC groups. After adjustment, Cox regression analysis identified HVC as a risk factor for increased all-cause mortality (HR=1.88; 95% CI: 1.11-3.19), cardiovascular mortality (HR=3.47, 95% CI: 1.76-6.84) and cardiovascular events (HR=1.64, 95% CI: 1.09-2.47). Conclusions HVC is an independent risk factor for increased cardiovascular mortality and new cardiovascular events in patients on MHD.
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