The influence of factors on five-year outcomes after acute coronary syndrome by N. G. Lozhkina, M. Kh. Khasanova, A. A. Tolmacheva, E. A. Najdena, E. A. Stafeeva, V. A. Kozik, V. B. Barbarich, A. D. Kuimov, V. N. Maksimov, M. I. Voevoda

“…Nevertheless, the use of this model is necessary to solve the problem of reducing cardiovascular risk.…”
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LINGUISTIC BASICS OF TEACHING FOREIGN STUDENTS OF PREPARATORY DEPARTMENTS THE SCIENTIFIC SPEECH STYLE IN THE STUDY OF NATURAL DISCIPLINES by Olexandr O. Kalenyk, Tetiana L. Tsaregradskaya, Maryna Yu. Rebenko, Iryna V. Ovsiienko

“…The evaluation of educational and scientific texts in physics and mathematics is made in terms of their information indicators (redundancy, density of teaching material, the average index of complexity). Informational evaluation of educational texts of general and natural sciences opens the possibility of developing objective criteria for optimization and minimization of educational and professional material. …”
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Cooperate or Not Cooperate: Transfer Learning With Multi-Armed Bandit for Spatial Reuse in Wi-Fi by Pedro Enrique Iturria-Rivera, Marcel Chenier, Bernard Herscovici, Burak Kantarci, Melike Erol-Kantarci

“…In this paper, we formulate the Transmission Power (TP) and CCA configuration problem with the objective of maximizing fairness and minimizing station starvation. …”
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POWER DRIVEN SYNTHESIS OF COMBINATIONAL CIRCUITS ON THE BASE OF CMOS VLSI LIBRARY ELEMENTS by D. I. Cheremisinov, L. D. Cheremisinova

“…The networks are optimized with respect to the die size and average dissipated power by CMOS-circuit implemented on a VLSI chip. …”
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Path Planning Method of Mobile Robot Using Improved Deep Reinforcement Learning by Wei Wang, Zhenkui Wu, Huafu Luo, Bin Zhang

“…Finally, the reward function combined with the artificial potential field method is designed to optimize the state-action space. The reward function solves the problem of sparse reward in the environmental state space and makes the action selection of the robot more accurate. …”
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D2D cooperative caching strategy based on graph collaborative filtering model by Ningjiang CHEN, Linming LIAN, Pingjie OU, Xuemei YUAN

“…A D2D cooperative caching strategy based on graph collaborative filtering model was proposed for the problem of difficulty in obtaining sufficient data to predict user preferences in device-to-device (D2D) caching due to the limited signal coverage of base stations.Firstly, a graph collaborative filtering model was constructed, which captured the higher-order connectivity information in the user-content interaction graph through a multilayer graph convolutional neural network, and a multilayer perceptron was used to learn the nonlinear relationship between users and content to predict user preferences.Secondly, in order to minimize the average access delay, considering user preference and cache delay benefit, the cache content placement problem was modeled as a Markov decision process model, and a cooperative cache algorithm based on deep reinforcement learning was designed to solve it.Simulation experiments show that the proposed caching strategy achieves optimal performance compared with existing caching strategies for different content types, user densities, and D2D communication distance parameters.…”
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STUDY ON ENERGY ABSORPTION CHARACTERISTIC OF SINUSOIDAL BELLOWS FILLED EMULSION ABSORBER by ZHANG JianZhuo, ZHANG WanJiu, PAN YiShan, GUO Hao, WANG ShuWen

“…The pre⁃folded energy absorber is the only energy absorber structure used in rock burst mine at present.It has excellent energy absorption characteristics,but there are some problems in the buckling deformation process such as large load fluctuation and spark due to friction.In view of the above situation,a sinusoidal bellows(reduced diameter round pipe)filled with emulsion was designed to form a solid⁃liquid coupling body energy absorption component(composite component).The effects of three factors,namely wall thickness of the bellows,amplitude of the busbar and diameter of the liquid outlet,on the energy absorption characteristics of the energy absorption component were studied.The prediction model of average load,load fluctuation coefficient and specific energy absorption was established.The smoothed partiole hydrodynamics(SPH)particle algorithm of Abaqus finite element software was used for fluid⁃structure coupling analysis of the model.The structural parameters of energy absorption components were optimized by response surface method and the optimization results were obtained.The results show that when the wall thickness of corrugated pipe is 3.959 mm,the amplitude of busbar is 3.721 mm,and the diameter of outlet is 22.161 mm,the energy absorption characteristics of the member are the best.The average load is 438.684 kN,the load fluctuation coefficient is 1.178,and the specific energy absorption is 12.123 kJ/kg.Through comparison and verification,the results have high reliability,which provides a superior energy absorption component for the energy absorption link of anti⁃impact support equipment.…”
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A Case Study of Energy-Saving and Frost Heave Control Scheme in Artificial Ground Freezing Project by Song Zhang, Xiao-min Zhou, Jiwei Zhang, Tiecheng Sun, Wenzhu Ma, Yong Liu, Ning Yang

“…The freezing wall thickness, average temperature, and optimization scheme during the freezing process are discussed. …”
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Minimizing Delay and Power Consumption at the Edge by Erol Gelenbe

“…Prior work has mainly focused on two methodologies: (i) formulating non-linear optimizations that lead to NP-hard problems, which are processed via heuristics, and (ii) using AI-based formulations, such as reinforcement learning, that are then tested with simulations. …”
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CBSNet: An Effective Method for Potato Leaf Disease Classification by Yongdong Chen, Wenfu Liu

“…In addition, the Bat–Lion Algorithm (BLA) is introduced, which combines the Lion algorithm and the bat optimization algorithm and makes the optimization process more adaptive by using the bat algorithm to adjust the gradient direction during the updating process of the Lion algorithm. …”
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Using Genetic Algorithms for Hardware Core Placement and Mapping in NoC-Based Reconfigurable Systems by Jonas Gomes Filho, Marius Strum, Wang Jiang Chau

“…Mapping of cores has been an important activity in NoC-based system design aimed to find the best topological location onto the NoC, such that the metrics of interest can be greatly optimized. In the last years, partial reconfigurable systems (PRSs) have included Networks-on-Chips (NoCs) as their communication structure, adding complexity to the problem of mapping. …”
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Increasing load factor in logistics and evaluating shipment performance with machine learning methods: A case from the automotive industry by Raziye Kılıç Sarıgül, Burak Erkayman, Bilal Usanmaz

“…Since this is a real-world problem, the dataset consisted of unlabeled data. …”
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The Design and Testing of a New Antitangling and Antisticking Knife for a Wet Clay Soil Environment by Guosheng Geng, Tailai Chen, Maohua Xiao, Chenshuo Xie, Cungan Tang

“…Aiming at the problem that rotary tiller knife rollers are prone to entanglement with straw in the wet and sticky soil environment of rice fields in the middle and lower reaches of the Yangtze River in China, an antitangling and sticking cutter was designed. …”
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Application research of 3D virtual interactive technology in interactive teaching of arts and crafts by Mingqi Yao

“…For this reason, the research proposes an image denoising model based on convolutional neural network and wavelet transform, which adopts residual neural network structure and batch normalization algorithm, aiming at gradient explosion and gradient disappearance that may be caused by convolutional neural network, And the problem of low training efficiency has been optimized. …”
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On the Simplex Algorithm Initializing by Nebojša V. Stojković, Predrag S. Stanimirović, Marko D. Petković, Danka S. Milojković

“…It is pointed out that on average it takes more iterations to determine the starting point than the number of iterations required by the simplex algorithm to find the optimal solution.…”
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Distributed Downlink Power Control by Message-Passing for Very Large-Scale Networks by Illsoo Sohn

“…The proposed BP approach includes two tasks: first, the sum rate maximizing power control problem is modeled as a factor graph representation. …”
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Design of smart agriculture based on big data and Internet of things by Chunling Li, Ben Niu

“…In the process of analyzing and processing a large amount of planting and environmental data, how to extract effective information from these massive agricultural data, that is, how to analyze and mine the needs of these large amounts of data, is a pressing problem to be solved. According to the needs of agricultural owners, this article studies and optimizes the data storage, data processing, and data mining of large data generated in the agricultural production process, and it uses the k-means algorithm based on the maximum distance to study the data mining. …”
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Vehicular cache nodes selection algorithm under load constraint in C-V2X by Zhexin XU, Kaimeng GAO, Wenkang JIA, Yi WU

“…In order to solve the problem that the C-V2X vehicle topology in urban environment was highly dynamic and the load capacity of vehicle nodes was limited, and improve the utilization of vehicular cache resources and reduce the load of base station, a vehicle cache nodes selection algorithm under load constraints was proposed.Firstly, by defining the link stability metric, the predicted weight adjacency matrix was constructed to describe the vehicular micro-topology in essence.Next, the objective function was further constructed under the load constraints and non-overlapping coverage constraint, which maximized the average link weight of the clusters by using the least cache nodes.Finally, the greedy concept was then introduced and the node states were reasonably defined.As a result, the minimum dominating set of the vehicle topology was figured out under the load constraints.Besides, the serviced neighbor nodes were then determined preferentially.The simulation results show that the proposed algorithm is close to the global optimal results in terms of the number of cache nodes and the average weight of cluster links.Moreover, the repeated response ratio of the proposed algorithm is always zero while the request response ratio can achieve the theoretical upper bound.Furthermore, the response times of cache resources can be also effectively improved.…”
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Custom Network Quantization Method for Lightweight CNN Acceleration on FPGAs by Lingjie Yi, Xianzhong Xie, Yi Wan, Bo Jiang, Junfan Chen

“…In comparison to the original model, the proposed optimization methods result in an average decrease of 1.2% in accuracy. …”
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The Description of Larva Free Index as COMBI (Communication for Behavioral Impact) Dengue Hemorrhagic Fever Prevention Indicator by Fithria Dyah Ayu Suryanegara, Suparmi Suparmi, Ndaru Setyaningrum

“…Various efforts have been made as an attempt to empower the community in PSN-dengue program, but has not yet reached the optimal result. COMBI (Communication for Behavioral Impact) is a dynamic team working to formulate and deliver the message, materials, and appropriate communication media for community problems found by way of a mutually agreed settlement of the problem.Quantitative research was done by cross sectional method to check the water storage containers inside the houses of the respondents. …”
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