VisuaLies: Towards a Classification of Misinfovis Situations by Elena Aversa, Michele Mauri

“…This study underscores the importance of involving lay people in recognising and describing Misinfovis with their own words to support the development of inclusive knowledge societies. Future iterations of VisuaLies aim to involve diverse audiences and refine feedback collection methods to further enhance the classification’s effectiveness.…”
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Copies and (Ab)originals: The Problem of Authenticity in Jane Urquhart’s Away (1993) by Claire Omhovère

“…La construction de ce roman repose sur une triple intrigue qui se répète en Irlande puis au Canada au sein d’une même famille irlandaise, de la grande famine à la période contemporaine. Les boucles itératives du récit incitent le lecteur à adopter une lecture analogique, c’est-à-dire à mettre en relation des espaces coloniaux différents comme la spoliation subie par deux populations autochtones : les Irlandais puis les Indiens Ojibway. …”
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Pulse engineering via projection of response functions by Nicolas Heimann, Lukas Broers, Ludwig Mathey

“…We present an iterative optimal control method of quantum systems, aimed at an implementation of a desired operation with optimal fidelity. …”
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Method for assisted-GPS positioning based on ambiguity resolution in weak signal environment by SONG Cheng, WANG Fei-xue, ZHUANG Zhao-wen

“…An assisted-GPS positioning algorithm was proposed.Based on this algorithm, the receiver needn’t accomplish the bit synchronization, frame synchronization and navigation data demodulation, which were usually necessary for the conventional GPS receiver, it could implement the positioning solution only by the measurement of pseudo-code phase and the assistance data（including ephemeris information and satellite clock corrections etc.）.Compared with the conventional GPS positioning algorithm, the proposed algorithm increases the ambiguity of the signal transmission time as an unknown parameter for the pseudorange equation.When the initial errors of approximate location and receiver’s clock bias were subjected to a constraint domain, the ambiguity of the signal transmission time could be eliminated.Then, the iteratively equation for this algorithm was derived, and the main steps were summarized.The simulation results show the validity of the algorithm.…”
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New EM parameter estimation algorithm for a type of micro-motion SFM signal by Yong-yan JIANG, Shi-yuan ZHANG

“…Aiming at the problem that the existing method has high computational complexity and high SNR,a novel method of multi-component SFM signals parameter estimation based on EM algorithm was proposed as to spinning tar-get's narrow band micro-motion echoes.The echo model of spinning target and its micro-doppler measurements based on time-frequency analysis were given.The iterative parameter estimation steps based on Gaussian mixture model and EM algorithm to measurements were established.The simulation results demonstrate that when SNR is greater than -3 dB and the SFM components are equal or greater than 2，the method can estimate the target’s micro-motion parameters e.g.projection size accurately in narrow band condition.…”
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Resource allocation in NOMA heterogeneous network based on MEC by Haijun ZHANG, Zizheng ZHANG, Keping LONG

“…Aiming at maximizing the cache revenue,a joint user association and power allocation algorithm was proposed for the matching of base stations with users and power allocation in a NOMA heterogeneous network with caches,a NOMA joint optimization algorithm which was achieved by combing with message passing and DC programming was proposed.First,the constraints were incorporated into the objective function,and the user association result was obtained by calculating the marginal of the message passing between the function node and the variable node in the new optimization problem.Then,the original optimization problem was transformed into the form of the difference between two convex functions,and allocate power resources through DC programming.Finally,the final user association and power allocation results are obtained through iterative calculations.Simulation results prove that the proposed algorithm effectively improves network performance.…”
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Robust uplink power control algorithm for multimedia CDMA cellular systems by GU Hong-yu, YANG Chen-yang

“…Taking the traffic burstiness, the link gain estimation error and other cell interference into account, the outage probability was derived and a nonlinear iterative algorithm （NIA） was obtained. Given a data rate allocation profile for BE traffics, the NIA could determine whether the link reliability of both QG and BE traffics could be guaranteed by power control. …”
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On the Dynamics of the Furuta Pendulum by Benjamin Seth Cazzolato, Zebb Prime

“…In this paper, the full dynamics of the Furuta pendulum are derived using two methods: a Lagrangian formulation and an iterative Newton-Euler formulation. Approximations are made to the full dynamics which converge to the more commonly presented expressions. …”
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Improved PESA algorithm based on comentropy by Kun WANG, Lin-lin WANG, Yan LIU, Yu-hua ZHANG, Meng WU

“…According to the distributed characteristic of the entropy value metric over the Pareto solution set, the proposed algorithm could determine whether the population has developed to the mature stage, which is reached when the number iterations is 1 300 in C-PESA. Thereby, the optimization process can be finished as soon as possible, and in a certain extent, the time complexity of PESA was simplified. …”
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Resonance Sparse Decomposition Method for Optimizing Quality Factor of Frog Leaping Algorithm by Zengping Kuang, Qingbin Tong, Jing Du, Xiuyong Zhao

“…The maximum kurtosis value of the low resonance component is set as the goal， and iterative optimization of frog leaping is performed to finally identify the fault frequency.…”
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INCREMENTAL HARMONIC BALANCE METHOD FOR THE STUDY OF SUPPORT LOOSENESS FAULT’S CHARACTERISTICS by CAO QingSong, XIANG Qin, XIONG GuoLiang

“…Incremental harmonic balance method was exploited to solve the nonlinear equation,and iterative algorithm was applied to gain the vibration periodic solution. …”
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Optimal Algorithms for Nonlinear Equations with Applications and Their Dynamics by Amir Naseem, M. A. Rehman, Nasr Al Din Ide

“…Finally, we study the dynamics of the proposed methods using polynomiographs created with the help of a computer program using six cubic-degree polynomials and then give a detailed graphical comparison with similar existing methods which shows the supremacy of the presented iteration schemes with respect to convergence speed and other dynamical aspects.…”
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Optimal Control of Anti-Angiogenesis and Radiation Treatments for Cancerous Tumor: Hybrid Indirect Solver by Iman Alimirzaei, Alaeddin Malek

“…By combining steepest descent, conjugate gradient, and Armijo techniques, a novel hybrid indirect iterative solver is designed. For accuracy and execution speed, the current solver is compared with an interior-point optimizer and sequential quadratic Hamiltonian methods. …”
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Joint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity by Xuanli WU, Xu CHEN

“…Aiming at the scenarios which consider the constraint of backhaul capacity restriction and interference threshold in ultra-dense networks (UDN),an integer linear programming (ILP) and Lagrangian dual decomposition (LDD) based joint optimization algorithm of energy efficiency and spectrum efficiency was proposed.In the proposed algorithms,the user association problem with the constraint of limited backhaul capacity was modelled as an ILP problem and then finished the connection between the user and the base station of microcell by solving this problem with dynamic programming method.Therefor,Lagrangian dual decomposition (LDD) was applied in an iteration algorithm for spectrum resource allocation and power allocation.The simulation results show that compared with traditional schemes,the proposed algorithm can significantly improve the energy efficiency and spectrum efficiency of system and use the microcell’s load capacity more efficiently.…”
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Joint linear transceiver design over MIMO frequency selective channels by HAN Sheng-qian, YANG Chen-yang

“…A minimum mean square error （MMSE） criterion based linear transceiver was proposed. To avoid the iterative computation between the transmitter and receiver involved in the joint MMSE Tx-Rx design, a low-complexity transceiver given a MMSE receiver called successive searching zero-forcing （ZF-SS） algorithm was proposed, which exploits spatial resources to mitigate or eliminate the inter-symbol-interference caused by multi-path channels. …”
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Tooth Profile Optimization Design of Cup Flexspline Harmonic Drive by Sun Yuqin

“…For the purpose of improving the engagement qualities of harmonic drive（ HD）,taking the HD with the drive ratio 100 as example,the basic conjugated tooth profile for involute tooth profile is calculated based on the modified kinematics method of HD and the elastic deformation of flexspline,the tooth profile optimization design model is established and calculated by using the iteration method of MATLAB,in order to verify the correctness of the aforementioned model,the engagement state of the tooth profile after optimized is studied.The results show that effective conjugate exist domain and effective conjugate tooth profile are found,in order to avoid the interference during the engagement process,the three-dimensional tooth profile must be applied as the conjugate tooth profile.Finally,the correctness of all of the aforementioned model are verified by the characteristics,such as non-interference during the assembly and movement process,more number of teeth participated in engagement and large transmission ratio.…”
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A Simple Algorithm for Prime Factorization and Primality Testing by Kabenge Hamiss

“…When the difference between the factors (prime gap) is not so large, it often requires just a single iteration to obtain the factors.…”
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Improved large data spectral clustering algorithm based on sampling subspace constraint by Ru NIE

“…On the basis of analyzing the equivalent function of the objective function of classical spectral clustering algorithm and the weighted kernel k-means objective function,an improved large-scale data spectrum clustring algorithm based on sampling subspace constraint was designed,the weighted kernel k-means iterative optimization was used to avoid the large resource consumption of Laplacian matrix feature decomposition,and by using data sampling and constraining the cluster center to the subspace generated by the sampling points,the use of all kernel matrices was avoided,thereby reducing the time-space complexity of classical algorithms.Theoretical analysis and experimental results show that the improved algorithm can greatly improve the clustering efficiency on the basis of maintaining similar clustering accuracy with the classic algorithm and verify the effectiveness of the proposed algorithm.…”
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Analysis of Fractional Kundu-Eckhaus and Massive Thirring Equations Using a Hybridization Scheme by Muhammad Nadeem, Hanan A. Wahash

“…Since the variational iteration method involves integration, the Laplace transform involves convolution theorem in recurrence relation to derive the series solution. …”
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A study and practice of end-to-end quality of service analysis scheme for 5G services based on autonomous network by Shicheng XU

“…Conducting end-to-end analysis of 5G service quality is the focus of operators to improve 5G user perception.Technical solutions such as rule engine, AI competency center, and intelligent scheduling were adopted to build a “fifth order closed-loop autonomous process” covering quality difference identification, quality difference definition, closed-loop management, effect analysis, and model iteration related to 5G service quality analysis.The process can make up for the shortage of the traditional end-to-end analysis of service quality that highly relies on solidified expert rules.According to this process, the end-to-end analysis scheme of 5G service quality of self-intelligent network was studied and practiced, achieving efficient autonomous collaboration and ensuring the perception of 5G service users.…”
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