Special N-dimensional charged anti-de-Sitter black holes in f(Q) gravitational theory by G.G.L. Nashed

“…Furthermore, we demonstrate that the curvature singularities of these solutions are less severe than those in charged general relativity solutions. Finally, we calculate thermodynamic parameters, including entropy, Hawking temperature, and Gibbs free energy. …”
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Specific inferior and superior role portrayals in multi-racial television advertisements by De la Rey Van der Waldt

“…The results indicate important differences in the perception of these roles. Finally an original model of role perception is put forward. …”
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A Blind Source Extraction Method based on Self-learned Dictionary and Its Application in Fault Diagnosis of Bearing Multi-type Fault by Xingguo Cheng, Pu Weng

“…A BSE based on sparse representation self-learned dictionary method is proposed to solve the above problem.Firstly，apply the self-learned sparse dictionary originating from sparse representation on the multi-type faults vibration signals directly and a set of self-learning dictionaries are obtained.Then，the multi-type faults vibration signals are re-constructed basing on the obtained learned dictionary to eliminate noise and interference signals.Finally，apply the BSE method on compound fault signals of reconstructed rolling bearings，each single fault signal of rolling bearing is extracted，and then the envelope demodulation analysis is carried out one by one to obtain the corresponding fault characteristics.Feasibility and effectiveness of the proposed method are verified through experiment.…”
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A partial overlapping point cloud registration method based on dynamic feature matching by Hui DU, Changliang ZHENG, Chunyu MIAO, Xiaomeng ZHANG

“…The point cloud registration method can effectively complete the registration of point clouds with different overlap rates and various sizes, and ensure the accuracy of the 3D reconstruction model.To address the above issues, a partial overlapping point cloud registration method based on dynamic feature matching named PPCR was proposed.Firstly, the point cloud was divided into sub-point clouds based on the Euclidean distance segmentation method.Secondly, the features of sub-point clouds were extracted.Since the sizes of different point clouds are varied, the scales of the extracted features are also different.Thus, a dynamic time warping (DTW) algorithm was proposed to map the sub-point clouds.Finally, the registration algorithm was iterated to obtain the translation and rotation matrix between point clouds.This matrix was used to complete the registration and stitching between point clouds.Experimental results show that the proposed method can effectively solve the registration problems of partially overlapping point clouds and point clouds with different scales.…”
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Investigations on the WEDM of Friction Stir Processed Magnesium/Graphene-Boron Nitride Hybrid Surface Composite through the Entropy-COPRAS Approach by V. Kavimani, P. M. Gopal, V. Sivamaran, K. Anand Babu

“…An optimal combination of machining factors to attain maximum material removal rate (MRR) along with minimal kerf width and surface roughness is to be finalized. The Taguchi method is utilized for planning the experiments with three levels and four factors, namely, reinforcement volume %, pulse off time, wire feed rate, and pulse on time. …”
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Ontologies for the Transactions on IoT by Chao Qu, Fagui Liu, Ming Tao

“…In addition to their respective definitions, we also present a detailed exploration of the relationships between them. Finally, we validate the effectiveness of the framework and the ontologies with a case study of the logistics system. …”
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Macrophage Plasticity and the Role of Inflammation in Skeletal Muscle Repair by Yacine Kharraz, Joana Guerra, Christopher J. Mann, Antonio L. Serrano, Pura Muñoz-Cánoves

“…We describe how ordered changes in macrophage polarization, from M1 to M2 subtypes, can differently affect muscle stem cell (satellite cell) functions. Finally, we also highlight some of the new mechanisms underlying macrophage plasticity and briefly discuss the emerging implications of lymphocytes and other inflammatory cell types in normal versus pathological muscle repair.…”
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Machine learning-assisted development of gas separation membranes: A review by An Li, Jianchun Chu, Shaoxuan Huang, Yongqi Liu, Maogang He, Xiangyang Liu

“…Moreover, we discuss the classical materials that make up gas separation membranes, including MOFs, polymers and COFs, and analyze the strengths and weaknesses of the different materials. Finally, we discuss the challenges in the development of machine learning method for next-generation gas separation membranes.…”
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Prediction and Analysis of Bending Fatigue Crack Growth Behavior of Spur Gear by Liu Xinbo, Zeng Xiaosong, Liu Yong

“…By using high frequency test bench,the fatigue tests are carried out on the gear,the gear fatigue the expansion path is got,and comparing with the results of finite element calculation results.Finally,the influence of different initial crack size,position and load on fatigue crack growth and fatigue life is analyzed.…”
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Optimization of fuzzy linear fractional programming problem with fuzzy numbers by Sapan Das

“…Lead from real-life problems, a couple of mathematical models is considered to survey the legitimacy, usefulness and applicability of our method. Finally, some mathematical analysis along with one case study is given to show the novel strategies are superior to the current techniques.…”
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Vector signal processing techniques for all-optical networks by Zhen XING, Hongxiang WANG, Yuefeng JI

“…The all-optical vector signal processing technology is of great significance in the evolution of optical network due to its low delay and high efficiency.Therefore,a comprehensive introduction to the technical background and application scheme of the current all-optical signal processing was given.The all-optical signal modulation format was firstly introduced,and the basic characteristics and receiving modes of each modulation format were described.Furthermore,the nonlinear optical effects,which were the basis of all-optical signal processing,were classified and introduced.The occurrence conditions,occurrence process,optical phenomena and common nonlinear media were also illustrated.The advantages of all-optical signal processing technology were briefly introduced and three typical research fields of all-optical signal regeneration,all-optical format conversion and all-optical phase quantization were introduced in detail.Finally,the application prospect of future all-optical vector signal processing technology was prospected.…”
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Village Unit Cooperatives on Dynamic Capability and Creative Capability Adaptation to Innovation Performance: The Role of Competitive Advantage by Bambang Agus Sumantri, Suliyanto Suliyanto, Dwita Darmawati

“…Competitive advantage has a positive effect on innovation performance. Finally, the results provide support for the model of dynamic capabilities, adaptive creative capabilities, and the implications of innovation performance in the context of competitive advantage, therefore village unit cooperatives must increase the elements of competitive advantage by increasing dynamic capabilities and adaptive creative capabilities to managers. …”
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FAULT FEATURE EXTRACTION OF VIRIABLE RORATION SPEED GEARBOX GEAR BASED ON VMD AND ORDER TRACKING by DIE XuPeng, KANG JianShe, CHI Kuo

“…After obtaining the resampled signal,it would be adaptively decomposed by VMD according to the different center order,and then select the fault signal fron the IMFs（ Intrinsic Mode Function） by kurtosis criterion. Finally,the fault signal is processed by the fast kurtogram,filter and squared envelope demodulation. …”
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Research of Design and Control Strategy of Power Coupling Mechanism for Dual-motor Electric Vehicle by Wang Fei Wang Tie Wu Zhifei

“…Secondly， the control strategy is designed based on the required torque， speed， acceleration and motor efficiency. Finally， the corresponding driving module and control strategy module are built in Matlab/Simulink according to the mathematical model of each part of the vehicle， and the mathematical simulation is carried out. …”
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Application of K-means algorithm based on A-D model in calling abnormal customer mining by Jian ZHOU, Yongge SHI, Meibin HE

“…In order to make use of massive voice communication records and cluster high-quality clients (telecom fraud clients,advertisers) with various kinds of voice communication abnormalities,a behavioral feature model of abnormal voice communication customers was designed and constructed.Based on the model,a clustering analysis algorithm for customers with abnormal voice communication behavior was proposed.First of all,by analyzing the call records of customers,the characteristics of call behaviors was got,such as the number of calls,call rates,and so on.Then AHP-DEMATEL model was constructed by blending the AHP model and DEMATEL method.Secondly,based on the model,an improved K-means algorithm was proposed to cluster the abnormal clients according to the voice communication records.Finally,the real data was used to verify the analysis.The results show that compared with other similar algorithms,the proposed algorithm improves the performance of multi-type abnormal customer comprehensive clustering analysis and single-type abnormal customer clustering analysis greatly.…”
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Detecting and Defending against Replication Attacks in Wireless Sensor Networks by Xiang-yi Chen, Li-xia Meng, Yong-zhao Zhan

“…Later, a detecting scheme is presented to inspect the location claims within the neighborhood. Finally, analysis shows that our scheme helps to detect and defend against replication attacks effectively and efficiently. …”
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Mitochondrial base editing: from principle, optimization to application by Jinling Tang, Kunzhao Du

“…In this review, we summarize the principles of mtDNA base-editing systems and elaborate on the evolution of different platforms of mtDNA base editors, including their deaminase replacement, engineering of DddAtox variants, structure optimization and editing outcomes. Finally, we highlight their applications in animal models and human embroys and discuss the future developmental direction and challenges of mtDNA base editors.…”
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THE VISCOELASTIC MODEL OF STEEL WIRE ROPE RUBBER CONVEYOR BELT AND THE ANALYSIS OF DEPRESSION RESISTANCE UNDER THE INFLUENCE OF TEMPERATURE by CHEN HongYue, XU RuoYong, MAO Jun

“…To study the conveyor belt cover and roller resistance variation with the operation process of belt conveyor,based on the three components of solid model,considering the influence of temperature on the conveyor belt viscoelasticity properties,put forward and set up a three element four variables considering temperature thermal viscoelastic kinetic parameter model.Then using the variable temperature dynamic compression experiment,getting the dynamic loading force under different temperature and time of curve,through first-order Fourier series fitting and obtained the conveyer belt rubber layer is derived formula of the thermal viscoelastic Kinetic parameter model and the accuracy of the formula are verified,finally established contains parameters such as temperature,tape speed of conveyor belt rolling resistance coefficient calculation equation,analyses the various factors affecting the impact on the rolling resistance coefficient,and through experiment verification rolling resistance coefficient calculation equation for the test,the results of the study to guide saving energy running of the belt conveyor control to provide the basis.…”
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A Novel Method for Preparation of Zn-Doped CuInS2 Solar Cells and Their Photovoltaic Performance by Cheng-Hsiung Peng, Chyi-Ching Hwang

“…Shape evolution of the Zn-doped CuInS2 nanocrystals from initially spherical to pyramidal, to cubic, and finally to a bar geometry was detected as a function of time of exposure to magnetic induction. …”
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Hybrid Alternated Inertial Projection and Contraction Algorithm for Solving Bilevel Variational Inequality Problems by Jacob Ashiwere Abuchu, Austine Efut Ofem, Godwin Chidi Ugwunnadi, Ojen Kumar Narain, Azhar Hussain

“…Under some suitable conditions on the algorithm control parameters, we obtain a strong convergence result of the proposed method without the prior knowledge of the operator norm or the coefficients of the underlying operators within the scope of real Hilbert spaces. Finally, some numerical examples are presented to illustrate the gain of our method in comparison to some related algorithms in the literature.…”
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