Bibliographic reviews in Cuban medical journals. by Lucitere Rodríguez González

“…<strong>Background:</strong> Bibliographic reviews acquire great importance in the specific context of medical publications; however, some editorial facts can affect their scientific value. …”
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CS-communication integration method in IoT monitoring multiple phenomena by Chengcheng HAN, Li CHEN, Weidong WANG

“…The large-scale Internet of things with multi observation phenomenon uses orthogonal multiple access (OMA) mechanism to transmit the observation data of distributed nodes, which will cause great transmission delay and lead to the loss of timeliness of data.To cope with the heavy latency of observations due to OMA, an efficient scheme integrating compressed sensing (CS) technique with communication was proposed for large-scale Internet of things to monitor multiple phenomena.In this proposed scheme, the nodes monitoring different phenomena were assigned to different time durations for transmission.During the assigned time duration, all nodes concurrently transmitted observations to the fusion center (FC)for CS measurement, and the FC recovered observation by CS algorithms.To evaluate the performance of the proposed scheme, the achievable rate of the observed phenomena was derived, which was closely related to the time allocation of clusters.To further improve the performance, the optimization problems of time allocation were studied under the two objectives of maximizing the total rate and ensuring the fairness of observation.Finally, the performance was verified and analyzed by numerical simulation.The simulation results show that the achievable rate of observations for different phenomena is improved the proposed scheme significantly compared with OMA schemes.…”
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Data Preprocessing Method and Fault Diagnosis Based on Evaluation Function of Information Contribution Degree by Siyu Ji, Chenglin Wen

“…Prediction using the original model parameters will cause the output of the model to deviate greatly from the true value. Traditional methods such as gradient descent and least squares methods are all centralized, making it difficult to adaptively update model parameters according to system changes. …”
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AN INQUIRY INTO CHINA’S ALIGNMENT WITH RUSSIA by W. Li

“…Realist scholars believe that China and the former USSR and now Russia are doomed to compete with each other in light of their geographical vicinity and the lack of mutual trust resulted from the pursuit of greatness and historical memories. However, since the collapse of the USSR, China and Russia have developed their overall ties steadily and substantially. …”
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Investigations on the Blade Vibration of a Radial Inflow Micro Gas Turbine Wheel by Shijie Guo

“…It is demonstrated that Young's modulus depends on temperature greatly and the dependence should be considered in vibration analysis, but the temperature gradient from the leading edge to the trailing edge of a blade can be ignored by applying the mean temperature. …”
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Adsorptive Removal of Dyes from Aqueous Solution by KMnO4-Modified Rice Husk and Rice Straw by Xiaodong Li, Yunjin Li

“…This facile, efficient, and template-free synthesis strategy holds great promise for preparing novel porous biochar from renewable biomass resources for application in adsorbents.…”
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Higher Education in Arab Countries: from Past to Present by N. A. Uspenskaya

“…That means that science and education in the Arab countries was mostly based on ancient science. One of great problems of education in the Arab countries is the recession of its quality and backwardness as compared to European education. …”
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Computing Resource Allocation Strategy Using Biological Evolutionary Algorithm in UAV-Assisted Mobile Edge Computing by Li Wang, Xiang Yao, Zhenqi Yuan

“…On the basis of data encoding, crossover, mutation, and termination operations, the optimization performance of algorithm is greatly improved by multiple iterations of fitness function. …”
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Course Recommendations in Online Education Based on Collaborative Filtering Recommendation Algorithm by Jing Li, Zhou Ye

“…By improving the traditional recommendation algorithm based on collaborative filtering, the course recommendation results are more in line with users' interests, which greatly improves the accuracy and efficiency of the recommendation. …”
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Bloch-Siegert shift under a bias magnetic field along arbitrary direction by Zhichao Ding, Weipeng Wang

“…Through the analysis and verification of the calculation results, a theoretical model of the Bloch-Siegert shift under the bias magnetic field in any direction is obtained. This model is of great significance for correcting and reducing the measurement error of optical pumped alkali-metal magnetometers.…”
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Federated learning scheme for mobile network based on reputation evaluation mechanism and blockchain by Ming YANG, Xuexian HU, Qihui ZHANG, Jianghong WEI, Wenfen LIU

“…Federated learning is a new distributed machine learning technology, where training tasks are deployed on user side and training model parameters are sent to the server side.In the whole process, participants do not need to share their own data directly, which greatly avoids privacy issues.However, the trust relationship between mobile users in the learning model has not been established in advance, there is hidden safety when users perform cooperative train with each other.In view of the above problems, a federated learning scheme for mobile network based on reputation evaluation mechanism and blockchain was proposed.The scheme allowed the server side to use subjective logic models to evaluate the reputation of participating mobile users and provided them with credible reputation opinions sharing environment and dynamic access strategy interface based on the technique of smart contract of blockchain.Theoretical and experimental analys is results show that the scheme can enable the server side to select reliable users for training.And it can achieve more fair and effective reputation calculations, which improves the accuracy of federated learning.…”
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Digital watermarking method based on context word prediction and window compression coding by Lingyun XIANG, Minghao HUANG, Chenling ZHANG, Chunfang YANG

“…To address the problems of limited number of substitutable words and low watermark extraction efficiency in the existing natural language digital watermarking methods, a creative method based on context word prediction and window compression coding was proposed.Firstly, the contextual semantic features of each word in the original text were automatically learned through a neural network language model, and then the candidate word set for each word was predicted, thus the number of substitutable words that could be utilized for carrying watermark information was expanded.Meanwhile, considering the difference of the semantic impact caused by the substitutions of candidate words at different positions, the watermark information was embedded into each window containing several words, and the selection of candidate words for watermark embedding was optimized by the similarity between sentences before and after performing word substitutions.Finally, a semantic-independent window compression coding method was proposed, which encoded each window as appointed watermark information in terms of the character information of words contained in the window.So that during watermark extraction, the dependence on the original context at the position of word substitution was eliminated.The experimental results show that the proposed method greatly improves the watermark extraction efficiency with high embedding capacity and text quality.…”
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Game principles of the art space's organization in D.W. Jones's novel Hexwood by Olga S. Naumchik

“…All of this points to great gaming potential of the fantasy. It is concluded that the space and the time in D.W. …”
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Construction of reusable fluorescent assembled 3D-printed hydrogen-based models to simulate minimally invasive resection of complex liver cancer. by Wenli Cao, Xiaofeng Pan, Liming Jin, Jie Liu, Jie Cao, Lei Jin, Fangqiang Wei

“…Based on the models, multiple copies of liver lesion structure assembled accessories can be printed for the same patient or different patients, ensuring the quantity and quality of simulated surgical training, and greatly reducing the cost of simulated surgical training. …”
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Les statistiques localisées au Brésil : un kaléidoscope de catégories de territoires by Cathy Chatel, Maria Encarnação Beltrão Sposito

“…The large number of territorial categories of official statistics of present-day Brazil reveals a great wealth of data, provided they are not considered as a "turnkey" material for research.From a pre-statistical European model inherited from the colonial period, to the rationality of the state, then to the liberal and post-modern context that spread in the globalized world, the IBGE categories reveal the paradoxes due to the superposition of different points of view on how to characterize the urban space. …”
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Who Owns the Central Mosque? Ethnic Identity and the Struggle for Spiritual Space in Epe, Southwest Nigeria by Moruff Mudasiru

“…But most studies of religious conflict in Nigeria focus on the conflicts between the two great world religions, Islam and Christianity. Equally, studies of ethnic conflict tend to focus on conflict between different language groups. …”
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Application of Geomorphic Factors in Positioning Landfill Area of Urban Wastes (Case Study: West Islamabad City) by Abolghasem Amirahmadi, Sima Pourhashemi, Samira Rezaei

“…Excessive growth of the population will increase waste production leading to the pollution of groundwater and groundwater, negative effects on the landscape and ecologists of the region, environment pollution and great charges on the community. Finding a suitable location for waste sanitary landfill is regarded as one of the best ways to reduce damages. …”
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Drought Prediction Based on Artificial Neural Network and Support Vector Machine by ZHAO Guoyang, TU Xinjun, WANG Tian, XIE Yuting, MO Xiaomei

“…Drought has aggravated in the humid areas of South China due to climate warming.Drought prediction is of great significance for the optimal management of water resources and the alleviation of drought.Based on the standardized precipitation evapotranspiration index (SPEI) of different time scales for drought evaluation,this paper constructs the artificial neural network (ANN) and support vector regression (SVR) models to predict droughts in the prediction periods of 1 to 3 months,and builds the EMD-ANN and EMD-SVR coupling models to increase the prediction precision for the SPEI1 with the scale of 1 month.The results showed that:The ANN and SVR models have good prediction precision for SPEI with the scales of 3 months.In addition,the prediction precision of the SVR model is slightly better than that of ANN model.The shorter the prediction period is,the higher the prediction precision is.The coefficient of determination of the ANN and SVR models for the drought prediction period of 1 month accounts for 0.834~0.911.The ANN and SVR models are not suitable for the prediction of the SPEI1 with scale of 1 month.After processing by EMD and wavelet denoising,the prediction precision of the SPEI1 by the EMD-ANN and EMD-SVR models is significantly increased.…”
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Counseling service in overcoming faith and morality issues for inmates child by Fadila Fadila, Beni Azwar, Hartini Hartini

“…To reduce this crime rate, it is of great necessity to reinforce Religion, values, and morals (RNM) through appropriate counseling services to inmates child at the Rejang Lebong Class II A Curup Correctional Institution. …”
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President Trump and the Virtue of Power by Jérôme Viala-Gaudefroy

“…This narrative has been greatly altered by President Donald Trump who has repudiated the moral vision of his predecessors. …”
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