Subjects: Library Science，Information Science >> Library Science submitted time 2023-10-08 Cooperative journals: 《知识管理论坛》
Abstract： [Purpose/significance] The period of big data has brought changes to all industries and fields of the society, as well as challenges to traditional knowledge management research. In order to adapt to the new era environment better, knowledge management needs to be re-recognized and re-positioned, and to meet and embrace new technologies on the challenges and changes it faces. [Method/process] This paper analyzed the role of knowledge management in the era of big data, discussed the methods and challenges of knowledge management in the era of big data, and put forward the development direction of knowledge management in the era of big data based on the reality. [Result/conclusion] Knowledge management has not disappeared in the data age. The development of big data has promoted the transformation of knowledge management process from traditional to technical. Although big data has made a major breakthrough in explicit knowledge management, it is still a problem needs to be solved in tacit knowledge management. Knowledge management in the new era emphasizes technology application and the ability of extracting the value of knowledge from the data.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Context-awareness modeling is an important method to solve information overflow, information overload, and to realize information on demand, however, it always being ignored in the construction of knowledge base, which hinders the practical application of knowledge base as well as reduces the efficiency and effectiveness of knowledge service.[Method/process] This paper proposed an ontology-based context driven multi-source knowledge fusion framework taking the context, personal profiles and domain ontology into consideration. Under the guidance of this framework, this paper constructed an Adverse Drug Reactions (ADR) knowledge base with respect to the contextual relevance naming ConADR Ontology. Firstly, we constructed a situation ontology which can semi-automatically update schema and extend ontology instance, and then successfully fuse it with existed domain ontology ADReCS and Disease Ontology using Jena and Protégé. Finally, we developed a case query application based on SPARQL.[Result/conclusion] The example shows that the framework has a certain feasibility and theoretical reference value for the merger and construction of knowledge base.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-27 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Exploring the topic and evolution trend of hypertension literature is of great significance for users to understand the profile, research hot-spots and frontiers of chronic disease, and can promote the knowledge communication among experts.[Method/process] This paper takes the Hypertension and 26717 articles from PubMed database as the research object, extracts high-frequency Mesh Terms to construct a co-occurrence matrix. Social network analysis is applied to detect the community and topic distribution of the hypertension study literature, and the expanded topic modeling Dirichlet-multinomial regression is also used to explore the topic distribution and evolution trends. Then similarities and differences of the SNA and DMR method in topic detection are analyzed.[Result/conclusion] It is found that the hypertension literature is mainly concentrated on three communities, which can be divided into five research topics, such as risk factors, research methods, basic situation of patients, diagnosis and treatment, and animal experiments. The relative distribution of the topic varies with time change. It is also found that the topic obtained from SNA and DMR are basically similar. But the Mesh Terms obtained from SNA method are more specific and clearer, while the DMR is more broadly and have an advantage in exploring the evolution of various themes.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Constructing a new mode of postgraduate training in archival science in the digital age is conducive to optimizing the training concepts, ways, methods and methods of postgraduate students in archival science, thus enhancing the competitiveness of archival graduate students in the digital age and better meeting the national archives cause, the construction and development needs of the digital age.[Method/process] This paper analyzes the new changes in archives work in the digital age and the new environment and new problems faced by postgraduate education in archival science. From the perspective of ideological concepts, institutional mechanisms and process methods, this paper discusses the construction and optimization of postgraduate training mode for archival majors in the digital age.[Result/conclusion] Finally, this paper proposes an innovation path for postgraduate training model of archival science based on the digital age, including updating training objectives, adjusting training direction, optimizing knowledge structure and innovative training methods.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Optimizing the government information resource governance system and giving play to the value of government information resources is the due meanings in the digital age to promote the modernization of national governance systems and governance capabilities. [Method/process] On the basis of exploring the concept and optimization significance of the government information resource governance system, a combination of literature research and field research was used to sort out and analyze the imperfect top-level design and collaborative management control of government information resource governance in China. Weakness, lack of a standard system, poor data quality, and incomplete security systems, etc. and their causes. [Result/conclusion] It is proposed to improve the government's ability to manage government information resources as the goal, follow the principles of practicality, rule of law, standardization, security, and inclusiveness, from strengthening the top-level strategic design, optimizing collaborative management and control models, and improving laws and regulations and standardization system, perfecting the security management system, constructing the evaluation system, etc. to optimize China's government information resource governance system.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Scientific research communities are important knowledge groups in contemporary science. Studying the evolutionary characteristics of scientific research communities is of great significance for exploring the law of field development and promoting knowledge innovation.[Method/process] This article took the field of Library and Information Science (LIS) as an example. From the perspective of evolutionary event detection, this paper used the Leiden algorithm to detect scientific research communities, and constructed their evolution paths and evolution trees. On this basis, this paper identified the evolution events of scientific research communities, and revealed the evolution modes and evolution characteristics of scientific research communities from three aspects:the overall analysis of the evolution, the evolution paths and the characteristics of the evolution trees, and the statistical characteristics of group evolution events.[Result/conclusion] The research shows that the scale of scientific research communities is developing vigorously, and the evolution trees of scientific research communities present two evolution modes. Most of the evolutionary events of growth type occurred in large communities with a relatively high volume of posts, while both ‘form’ and ‘dissovle’ evolution events occurred in small communities with a relatively high volume of posts. The average community size of evolutionary events such as ‘merge’, ‘partial merge’, ‘split’, and ‘shrink’ is small, and the volume of publications is low. These characteristics further prove that the cooperation and exchanges between scientific research communities tend to be frequent, and the evolution of scientific research communities has become increasingly complex.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： Techno-economic security evaluation (TESE) is a new multi-disciplinary direction, which is designated to systematically evaluate the risks of technical factors and their impact on economic security from the perspective of ensuring economic security, and provide decision-making support for ensuring the safety development of national science and technology and economy. This study analyzes the key issues such as the concept of techno-economic security, the main problems that should be resolved in TESE, and the evaluation methods of TESE. Suggestions for how to optimize the TESE are offered in terms of continuing to carry out basic theoretical and method research, strengthening the construction of the talent team, and promoting the close integration of TESE with decisionmaking needs.
Subjects: Psychology >> Developmental Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Acute aerobic exercise is a bout of aerobic exercise lasting from 10 to 60 minutes. Acute aerobic exercise can temporarily change cognitive performance, such as sensory sensitivity, memory, executive function. The effects of acute aerobic exercise on cognitive performance are varying, which are moderated by participant physical fitness level, exercise intensity and type of exercise. Arousal theory, Reticular- activating hypofrontality model, catecholamines hypothesis, BDNF hypothesis and strength model of self-control have been proposed to account for the effect of acute aerobic exercise on cognitive performance. Future studies are suggested to investigate the mechanism of how acute aerobic exercise effects cognitive performance, explore the interfering effects of different forms of acute aerobic exercise, such as mind-body exercises, group sports, and thus providing more evidence for the long-term ‘exercise prescriptions’.
Subjects: Engineering and technical science >> Optical Engineering submitted time 2021-10-21
Abstract： This paper proposes a simple self-calibration method for the internal time synchronization of MEMS(Micro-electromechanical systems) LiDAR during research and development. Firstly, we introduced the problem of internal time misalignment in MEMS lidar. Then, a robust Minimum Vertical Gradient(MVG) prior is proposed to calibrate the time difference between the laser and MEMS mirror, which can be calculated automatically without any artificial participation or specially designed cooperation target. Finally, actual experiments on MEMS LiDARs are implemented to demonstrate the effectiveness of the proposed method. It should be noted that the calibration can be implemented in a simple laboratory environment without any ranging equipment and artificial participation, which greatly accelerate the progress of research and development in practical applications."
Peer Review Status:
Awaiting Review
Subjects: Computer Science >> Computer Application Technology submitted time 2020-08-26
Abstract： Low light images suffer from severe noise, low brightness, low contrast, etc. In previous researches, many image enhancement methods have been proposed, but few methods can deal with these problems simultaneously. In this paper, to solve these problems simultaneously, we propose a low light image enhancement method that can combined with supervised learning and previous HSV (Hue, Saturation, Value) or Retinex model based image enhancement methods. First, we analyse the relationship between the HSV color space and the Retinex theory, and show that the V channel (V channel in HSV color space, equals the maximum channel in RGB color space) of the enhanced image can well represent the contrast and brightness enhancement process. Then, a data-driven conditional re-enhancement network (denoted as CRENet) is proposed. The network takes low light images as input and the enhanced V channel as condition, then it can re-enhance the contrast and brightness of the low light image and at the same time reduce noise and color distortion. It should be noted that during the training process, any paired images with different exposure time can be used for training, and there is no need to carefully select the supervised images which will save a lot. In addition, it takes less than 20 ms to process a color image with the resolution 400*600 on a 2080Ti GPU. Finally, some comparative experiments are implemented to prove the effectiveness of the method. The results show that the method proposed in this paper can significantly improve the quality of the enhanced image, and by combining with other image contrast enhancement methods, the final enhancement result can even be better than the reference image in contrast and brightness. (Code will be available at https://github.com/hitzhangyu/image-enhancement-with-denoise) "
Peer Review Status:Awaiting Review
Subjects: Computer Science >> Other Disciplines of Computer Science submitted time 2020-03-06
Abstract： This paper proposes a self-supervised low light image enhancement method based on deep learning. Inspired by information entropy theory and Retinex model, we proposed a maximum entropy based Retinex model. With this model, a very simple network can separate the illumination and reflectance, and the network can be trained with low light images only. We introduce a constraint that the maximum channel of the reflectance conforms to the maximum channel of the low light image and its entropy should be largest in our model to achieve self-supervised learning. Our model is very simple and does not rely on any well-designed data set (even one low light image can complete the training). The network only needs minute-level training to achieve image enhancement. It can be proved through experiments that the proposed method has reached the state-of-the-art in terms of processing speed and effect. "
Peer Review Status:Awaiting Review
Subjects: Biology >> Zoology submitted time 2018-12-25 Cooperative journals: 《动物营养学报》
Abstract：本文旨在研究短期限饲对生长肉兔脂肪组织中脂质代谢相关基因和相关信号通路的影响，阐明生长肉兔能量稳态的调节机制。试验选用40日龄、体重相近的伊拉肉兔40只，随机分为2组：对照组（自由采食组）和限饲组（饲喂量是对照组的70%左右），每组20个重复，每个重复1只兔，试验持续5 d。结果表明：1）与对照组相比，短期限饲显著降低了生长肉兔的日增重（P0.05）。2）与对照组相比，短期限饲显著降低了脂肪酸合成酶（FAS）、乙酰辅酶A羧化酶（ACC）、脂蛋白脂酶（LPL）的基因表达（P0.05）。3）与对照组相比，短期限饲对脂肪中甘油三酯（TG）的浓度和磷酸化的磷酸腺苷激活蛋白酶（AMPK）蛋白表达水平影响不显著（P>0.05）。综上，短期限饲可抑制生长肉兔脂肪组织中脂肪酸的合成，促进脂肪酸分解；PPARα和GPR41信号可能参与了生长肉兔脂肪组织能量稳态的调节。
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-09-12 Cooperative journals: 《计算机应用研究》
Abstract： Aiming at the problem that the existing human motion recognition method needs to input a fixed length video segment and underutilize the spatiotemporal information, this paper proposed a deep neural network model based on the combination of space-time pyramid and attention mechanism. This improved architecture combined 3D-CNN including spatiotemporal pyramids with LSTM model with spatio-temporal attention mechanism, and realized multi-scale processing of video segments and full utilization of complex spatio-temporal information of actions. For the architecture, the inputs of spatial and temporal domain were RGB image and the optical flow, the input of the fusion domain was the fusion feature of the motion and appearance features of the pyramid pooling layer. Finally, the final motion recognition result was obtained through the decision fusion strategy. Experiments were performed on the UCF101 and HMDB51 datasets, achieving 94.2% and 70.5% recognition accuracy, respectively. The experimental results show that the improved network model achieves high recognition accuracy in video-based human motion recognition tasks.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-18 Cooperative journals: 《计算机应用研究》
Abstract： In order to improve the accuracy and efficiency of customer churn prediction of railway scattered freight, according to the loss characteristics of railway scattered freight customers, proposed a customer churn identification method based on CDL model. On this basis, facing the problem of big data, proposed a C4.5 decision tree customer churn prediction model based on Hadoop parallel framework. Simulation results show that the model has good accuracy and predictive ability, and as the number of samples increases, the efficiency of Hadoop parallel framework is obviously improved, and the accuracy and prediction ability of churn prediction model are not affected.
Subjects: Medicine, Pharmacy >> Preclinical Medicine submitted time 2017-12-21 Cooperative journals: 《南方医科大学学报》
Abstract： Objective To study the effect of different blood pressure control targets on hematoma enlargement and prognosis in patients within 48 h after hypertensive cerebral hemorrhage (HCH). Methods Between January, 2013 and July, 2016, 102 patients with HCH were randomized into group A (51 cases) and group B (51 cases) with different systolic blood pressure (SBP) control targets within 48 h. The patients in group A were given early active antihypertensive treatment with SBP control target of 130-140 mm Hg; those in group B received standard antihypertensive treatment with SBP control target of 170-180 mm Hg. The changes in the volume of hematomas and the patients' prognosis were compared between the two groups. Results After 48 h of treatment, SBP, hematoma volume and the National Institutes of Health Stroke Scale (NIHSS) score were significantly lower and Glasgou Coma Scale (GCS) score was significantly higher in group A than in group B (P<0.01 or 0.05). After 30 days of treatment, the patients in group A showed significantly better indicators of treatment efficacy than those in group B (Z=2.331, P=0.020). The mortality rate was lower in group A than in group B, but the difference was not statistically significant (χ 2 =2.772, P=0.096). Conclusion Early active antihypertensive treatment is safe and feasible in patients with HCH and can reduce the enlargement of the hematomas, alleviate deterioration of neurological function, and improve the prognosis of the patients.
Subjects: Medicine, Pharmacy >> Preclinical Medicine submitted time 2017-12-07 Cooperative journals: 《南方医科大学学报》
Abstract： Objective To explore the difference between adolescent and adult C57BL/6J mice in response to rapid eye movement sleep (REMS) deprivation in terms of anxiety behavior and hippocampal NO level. Methods Both adolescent and adult C57BL/ 6J mice were divided into normal control (NC) group, wide platform (WP) group, and 24-hour REMS deprivation group, each group consisting of 15 mice. REMS deprivation models were established using a small platform in water tank, and the elevated plus maze test was used to examine anxiety behavior of the mice. After behavioral tests, the mice were sacrificed to examine hippocampal NO levels using enzyme-linked immunosorbent assay, and hippocampal nNOS protein expression was detected with Western blotting. Results The adolescent C57BL/6J mice showed no obvious differences in anxiety behaviors between the 3 groups, but NO level and nNOS expression in the hippocampus was significantly higher in REMSD group than in NC and WP groups (P<0.01). The adult mice in REMSD group, compared with those in the other two groups, exhibited significantly increased total number of arm entry (P<0.01), lowered number of open arm entry and reduced open arm time (P<0.01), increased number of close arm entry and prolonged close arm time (P<0.01 or 0.05); no obvious differences in NO level or nNOS expression in the hippocampus were found in the 3 groups of adult mice. Conclusion REMS deprivation produces different effects on anxiety-related behaviors between adolescent and adult mice possibly in relation to their different responses in terms of NO levels and nNOS expression in the hippocampus.
Subjects: Biology >> Zoology submitted time 2017-10-23 Cooperative journals: 《动物营养学报》
Abstract：本试验旨在研究饲粮中添加泛酸对家兔肝脏脂肪代谢的影响。试验选用体重相似的断奶獭兔160只，随机分为4组，每组40个重复，每个重复1只。对照组獭兔饲喂基础饲料，试验组獭兔分别饲喂在基础饲粮中添加10、20和40 mg/kg泛酸的饲粮。预试期7 d，正试期56 d。结果表明：与对照组相比，饲粮中添加40 mg/kg泛酸显著降低了生长獭兔肩胛、胃周和肾周脂肪沉积率（P0.05）；随着饲粮中泛酸添加水平的升高，生长獭兔血浆中甘油三酯的含量先降低后趋于稳定，20、40 mg/kg添加组显著低于对照组（P<0.05）；与对照组相比，饲粮中添加20～40 mg/kg泛酸显著升高了生长獭兔血浆中极低密度脂蛋白的含量（P<0.05）。与对照组相比，饲粮中添加40 mg/kg泛酸显著增加了肝脏中激素敏感脂酶（HSL）和骨骼肌中脂肪酸转运蛋白（FATP）基因的表达量（P<0.05）；饲粮中添加20～40 mg/kg泛酸显著增加了肝脏中肉毒碱棕榈酰转移酶1（CPT1）基因的表达量（P<0.05）；饲粮中添加10～40 mg/kg泛酸显著增加了肝脏中脂肪酸合成酶（FAS）基因和骨骼肌中CPT1基因的表达量（P<0.05）。综上所述，饲粮中添加泛酸影响生长獭兔肝脏内脂肪代谢，泛酸添加水平为40 mg/kg时可降低肝脏内脂肪的沉积，并能降低机体脂肪沉积率，增加骨骼肌对脂肪酸的摄取和利用。
Hits
YES
Hits
Downloads
Comment