Subjects: Library Science，Information Science >> Library Science submitted time 2023-10-08 Cooperative journals: 《知识管理论坛》
Abstract： [Purpose/significance] This paper introduces the basic information of IFLA Knowledge Management Section and its works in recent years, and looks forward to the application prospect and future development of knowledge management from the industry perspective. [Method/process] Through the review of 2017-2019 IFLA Knowledge Management Section’s meetings and case analysis, this paper introduced the specific works of Knowledge Management Section and the future development prospects of knowledge management. [Result/conclusion] The IFLA Knowledge Management Section has made great contributions to increasing the impact of knowledge management, and in the future we should boldly introduce knowledge management into libraries, and make it an active theory, then continue to grow the theory of knowledge management through more discipline crossover and collaboration.
Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2023-04-10 Cooperative journals: 《中国全科医学》
Abstract： Background Socioeconomic development，lifestyle changes and the COVID-19 pandemic all have an impact on people's mental and physical health，which may affect the prevalence of mental disorders. Currently，there is still no sufficient epidemiological information of mental disorders in Xinjiang. Objective To investigate the prevalence and influencing factors of common mental disorders among people aged 15 and above in northern Xinjiang，then compare the data with those of their counterparts in southern Xinjiang，and summarize the overall prevalence of common mental disorders in Xinjiang，providing a scientific basis for the formulation of corresponding mental health plans. Methods From November 2021 to July 2022，a multistage，stratified，cluster random sampling method was used to select 3 853 residents from northern Xinjiang to attend a survey. General Demographic Questionnaire，and self-assessment scales（the 12-Item General Health Questionnaire，Mood Disorder Questionnaire，Symptom Checklist-90，etc.） and other assessment scales（Hamilton Depression Inventory，Bech#2;Rafaelsen Mania Rating Scale，Brief Psychiatric Rating Scale，etc.） were used as survey instruments. Mental disorders were diagnosed by the ICD-10 classification of mental and behavioral disorders by two psychiatrists with at least five years' working experience，or by a chief or associate chief psychiatrist when there is an inconsistency between the diagnoses made by the two psychiatrists. Results The point prevalence rate and age-adjusted rate of common mental disorders in northern Xinjiang were 9.71%（374/3 853） and 10.07%，respectively. The point prevalence rate and age-adjusted rate of common mental disorders in the whole Xinjiang were 9.69%（750/7 736）and 9.90%，respectively. The point prevalence rates of mood disorders，anxiety disorders，schizophrenia，organic mental disorders，and mental retardation in northern Xinjiang were 4.83%（374/7 736），3.63%（281/7 736），0.63%（49/7 736），0.23%（18/7 736），and 0.36%（28/7 736），respectively. Multivariate Logistic regression analysis for northern Xinjiang showed that：the risk of mood disorders in females was 1.854 times higher than that in males〔95%CI（1.325，2.593）〕；The risk of mood disorders increased by 5.210 times in 25-34-year-olds〔95%CI（1.348，20.143）〕 and 3.863 times in 35-44-year-olds 〔95%CI（1.030，14.485）〕 compared with that in those aged ≥ 65 years；The risk of mood disorders increased by 0.199 times in those with high school or technical secondary school education〔95%CI（0.078，0.509）〕 and 0.147 times in those with two- or three-year college and above education〔95%CI（0.056，0.388）〕 compared with that in illiteracies. The risk of anxiety disorder in females was 1.627 times higher than that in males〔95%CI（1.144，2.315）〕；The risk of anxiety disorder increased by 0.257 times in 15-24-year-olds〔95%CI（0.091，0.729）〕，0.243 times in 45-54-year-olds〔95%CI（0.101，0.583）〕，and 0.210 times in 55-64-year-olds〔95%CI（0.067，0.661）〕 compared to that of those aged ≥ 65 years old. The risk of schizophrenia among people living in villages or towns was 4.762 times higher than that of those living in cities〔95%CI（1.705，1.300）〕；The risk of schizophrenia among people with high school or technical secondary school education was 0.079 times higher than that of illiteracies〔（95%CI（0.015，0.405）〕. Conclusion The prevalence of mood disorders and anxiety disorders is high among all types of mental disorders in Xinjiang. Females，rural people，or low educated people in northern Xinjiang are more prone to various types of mental disorders.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2019-01-28 Cooperative journals: 《计算机应用研究》
Abstract： There is a certain internal relationship between user links and location links in location-based social network(LBSN) , and different users also have different behaviors in the network. Therefore, view of the above problem, a Cooperation based personalized link prediction algorithm(CPP) is proposed in LBSN. For the user's personalized features, the kernel density estimation method is used to model the user's time and spatial dimensions. The interest groups were used to divide the users into overlapping communities, and the personalized user link prediction was performed through the community, friends and sign-in relationships. Based on the prediction of the personalized user link, a personalized link relationship between users and locations was predicted via the algorithm of the random walk with community restarting. The CPP algorithm improves the performance by the iteration of the user link prediction and the location link prediction. The experimental results show that the CPP algorithm has better prediction performance than that of the existing algorithm.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2019-01-03 Cooperative journals: 《计算机应用研究》
Abstract： Concern the problem that multi-channel Motor Imagery (MI) of Brain-Computer Interface (BCI) based on 3D visual guidance with more redundancy information and poor classification accuracy, this paper proposed a pattern classification method based on wavelet packet decomposition(WPD)-common spatial pattern(CSP)-adaptive differential evolution(ADE) for feature extraction of electroencephalogram（EEG）.Firstly, this algorithm used WPD to divide the multi-channel motion imagery EEG signals into fine sub-bands. Secondly, it used CSP to obtain the eigenvectors corresponding to each subspace of WPD transformation. Finally, it selected the feature vectors through the ADE algorithm to obtain the best feature subsets for classification. Using WPD-CSP-ADE mode for feature extraction and selection, it had better performance in classification accuracy and number of features than the classic WPD-CSP method. At the same time, the classification performance of the proposed algorithm was significantly better than the genetic algorithm and particle swarm optimization algorithm. The experiments show that the WPD-CSP-ADE method can effectively improve the classification accuracy and reduce the number of features used for classification.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-20 Cooperative journals: 《计算机应用研究》
Abstract： Research on energy efficiency optimization of simultaneous wireless information and power transfer in heterogeneous small cellular networks. In order to maximize the energy efficiency of the downlink cellular system by jointly designing transmit beamforming vector and receive power splitting ratio under both small cellular users' communication quality and the collected energy, and the transmission power of the small cell base station constraints. The problem belongs to the nonconvex optimization problem, and the equivalent problem is transformed by the variable substitution, and then the subgradient iteration algorithm based on the Lagrange multiplier is used to solve the problem. The results of computer simulation show that the joint optimization algorithm is simple and effective.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-18 Cooperative journals: 《计算机应用研究》
Abstract： The existing privacy protection strategies in crowd sensing networks used the same privacy policies for all locations which overprotected led to the problems that some locations, others were not adequately protected and the sensing data was less accurate. In order to solve this problem, this paper proposed a location privacy protection algorithm to meet the users’ personalized privacy and security requirements. First, it mined users’ access duration, frequency and regularity at different locations according to the user's historical movement trajectory, which used to predict the social attributes of the locations to the users. Then, it combined the location’s social attributes and natural attributes to predict user-location sensitivity levels. Finally, considering the different privacy security requirements of users in different locations, it set a dynamic privacy decision scheme. Users with less sensitivity at each location were selected to participate in sensing tasks to ensure that users, in the safe privacy context, could contribute the accurate data with a higher level of spatiotemporal correlation. The simulation results show that the algorithm can improve the privacy protection level and the accuracy of the sensing data.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-17 Cooperative journals: 《计算机应用研究》
Abstract： To deal with the problem that classical spectral clustering algorithms are unable to determine the number of clusters automatically, and low efficiency in processing large amount of data with. This paper proposes a spectral clustering algorithm based on the optimization of density peak value. The method firstly calculates the local density of data object and the minimum distance between each data object and other data objects. Adaptive clustering algorithm is generated to determine the number of clusters and to optimize the number of clusters according to certain rules. Secondly, adopting Nystr鰉 sampling can reduce the time complexity of characteristic decomposition and improve the efficiency of the algorithm. The experimental results show that this method can accurately obtain the number of clusters and effectively improve the accuracy and efficiency of clustering effectively.
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