An Empirical Study on Relationship between Residents’ Disposable Income and CPI Based on TVECM: Application of Bootstrap SupLM Testing for Threshold Cointegration by Jungang Du

“…Based on the fluctuation characteristics of residents’ disposable income and CPI (Consumer Price Index) in different periods, this article introduces a nonlinear threshold cointegration theory, establishes a TVECM (Threshold Vector Error Correction Model) of the residents’ disposable income and CPI. We propose an algorithm to obtain maximum likelihood estimation under the condition of cointegration vector and threshold value which are unknown and then propose a SupLM test for the presence of a threshold. …”
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Business strategy design methodologies: from product design to platform design by E. V. Vasilieva

“…The publication presents by step-by-step an algorithm for constructing a strategy for bringing a new offer to the market based on the “Jobs To Be Done” method. …”
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Cooperative content downloading scheme based on D2D multicast communications by Lianxin YANG, Dan WU, Feng YUAN, Chao YUE, Qinxue FU

“…Aiming at the content downloading scenario in the network such as cellular network and vehicular network,a cooperative content downloading scheme based on device-to-device multicast communications was proposed to improve the content downloading performance.Such a scheme took advantage of the proximity feature of the content requesters and groups them into disjoint clusters.Firstly,the base station delivered the entire content to a cluster,and each content requester in a cluster downloaded a proportion of the entire content.Then,the content requesters took turns sharing their downloaded content with other content requesters in the same cluster.In this way,the additional resource consumption of content sharing in a cluster was shared by the content requesters in the cluster together.During this process,a pricing-based approach was proposed to motivate these content requesters to cooperate with each other.Such an approach only required the base station to maintain a content downloading price.Based on this,the joint issue of user clustering,link scheduling and power allocation was studied to minimize the total cost of content requesters.To obtain a superior solution with reductive complexity,a joint optimization algorithm was designed based on the coalition formation game.Numerical results show that compared with the traditional non-cooperative scheme,the total cost of content requesters was reduced by 37.15%.Under different numbers of content requesters and cellular users,the proposed scheme is both superior to other benchmark schemes.…”
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Wolff-Parkinson-White Syndrome Mimics a Conduction Disease by S. Marrakchi, I. Kammoun, S. Kachboura

“…A Wolff-Parkinson-White Syndrome may mimic a conduction disease. No reliable algorithm exists for making an ECG diagnosis of a preexcitation syndrome with conduction disorders. …”
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Gearbox Rolling Bearing Fault Diagnosis Based on Autocorrelation Envelope and Adaptive MED by Li Hua, Yu Zifeng, Xiao Yuan, Li Zhiyong, Liu Haitao, Li Baisong, Shao Qiang, Gu Ziqiang

“…Minimum entropy deconvolution (MED) is a popular algorithm in recent years, extensively applied in feature extraction and fault diagnosis of components such as gearboxes and bearings. …”
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Brain Stroke Detection by Microwaves Using Prior Information from Clinical Databases by Natalia Irishina, Aurora Torrente

“…For breast cancer detection, the iterative algorithm of structural inversion with level sets provides well-defined boundaries and incorporates an intrinsic regularization, which permits to discover small lesions. …”
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Combined interaction of fungicides binary mixtures: experimental study and machine learning-driven QSAR modeling by Mohsen Abbod, Ahmad Mohammad

“…The MLR model showed a good linear correlation between selected theoretical descriptors by the genetic algorithm and fungicidal activity. However, both ML-based models demonstrated better predictive performance than the MLR model. …”
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Optimization of Driving Axle Housing of Dump Truck based on Robustness Selection by Ronghui Lin, Peng Zhou

“…Three groups of 9 optimization sizes are obtained Through the deterministic optimization by multi-objective Genetic Algorithm. The L⁹ (3⁴) orthogonal table is constructed，the robust selection of deterministic optimal size is carried out，the optimal size of good robust performance is obtained based on signal-to-noise ratio <italic>η</italic>. …”
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A cost-effective adaptive repair strategy to mitigate DDoS-capable IoT botnets. by Jiamin Hu, Xiaofan Yang

“…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …”
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A Classification of Basic Helix-Loop-Helix Transcription Factors of Soybean by Karen A. Hudson, Matthew E. Hudson

“…Using a hidden Markov model search algorithm, 319 genes with basic helix-loop-helix transcription factor domains were identified within the soybean genome sequence. …”
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Optimization Design of Diaphragm Profile based on Kriging Model by Geng Hu, Zhigang Chen, Ding Zhang

“…Finally，the initial Kriging model is updated with MP （minimizing the predicted objective function） infill-sampling criterion and genetic algorithm，and the optimal design is obtained via the final Kriging model. …”
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Fatigue assessment of a FSAE car rear upright by a closed form solution of the critical plane method by A. Chiocca, M. Sgamma, F. Frendo, F. Bucchi, G. Marulo

“…This paper presents and validates the proposed methodology, with reference to a rear upright of a FSAE car, which is characterized by a complex geometry and is subjected to non-proportional loading conditions. The efficient algorithm demonstrated a substantial reduction in computation time compared to the standard plane scanning method, while maintaining solution accuracy.…”
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Optimization Modeling and Empirical Research on Gasoline Octane Loss Based on Data Analysis by Ji Guo, Yujia Lou, Wanyi Wang, Xianhua Wu

“…Firstly, the data are screened and the high-dimensional data are reduced to construct the neural network prediction model optimized by genetic algorithm. After utilizing the model for prediction, the optimal operating condition is achieved. …”
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Predicting Intensive Care Unit Admissions in COVID-19 Patients: An AI-Powered Machine Learning Model by A. M. Mutawa

“…We designed an intelligent decision support system that employs machine learning (ML) to anticipate COVID-19 ICU admissions in Kuwait. Our algorithm examines several clinical and demographic characteristics to identify high-risk individuals early in illness diagnosis. …”
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Architecture of a recommendation service for choosing training areas at a higher education institution by applicants with the method of collaborative filtering of machine learning by A. M. Prokhorova

“…The article accomplished the following objectives: the architectural decomposition and description of the main components of the service are completed; a machine learning method is presented, including a collaborative filtering algorithm that is used in the service and allows to consider preferences and offers of other applicants with similar interests and educational profile; recommendations for choosing a user interface for convenient interaction with the service have been developed; test cases have been conducted to assess the effectiveness of the recommendation service. …”
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Applying Partial Power-Gating to Direction-Sliced Network-on-Chip by Feng Wang, Xiantuo Tang, Zuocheng Xing

“…The approach mainly involves a direction-slicing scheme, an improved routing algorithm, and a deadlock recovery mechanism. In the synthetic traffic simulation, the proposed design shows favorable power-efficiency at low-load range and achieves better performance than the conventional power-gated one. …”
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A Fault Feature Extraction Method of Rolling Bearings Based on Optimized VMD and UMAP by Liu Junli, Miao Bingrong, Zhang Ying, Li Yongjian, Huang Zhong

“…Using the recognition accuracy of three commonly used intelligent algorithm and the ratio of intra-class cosine distance and inter-class cosine distance in the tested feature set as evaluation indexes, the results show that the method not only achieves effectively extract features of various bearing failures, but also has good noise immunity, which is of certain reference value for the feature extraction in the practical bearing fault diagnosis.…”
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Real-Time Adaptive Tractor Ride Comfort Adjustment System Based on Machine Learning Method by Hu Tian, Anping Ji

“…Additionally, the Particle Swarm Optimization (PSO) algorithm is employed to recommend optimal operational parameters, reducing the ride comfort value (OVV) by 6.67% in real-time experiments. …”
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Antivaccine, denialist, and conspiracy theorist content on Facebook. An analysis of the No to the New World Order page by Julio C. Aguila Sanchez, Carmen Castillo Rocha, Ángel R. Vargas Valencia

“…Descriptive statistics were used for the analysis, the topic modeling technique, and the Latent Dirichlet Allocation algorithm. Results. Covid-19 was the main focus of the analysed posts (68%). …”
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A Jump Diffusion Model with Fast Mean-Reverting Stochastic Volatility for Pricing Vulnerable Options by Joy K. Nthiwa, Ananda O. Kube, Cyprian O. Omari

“…Our proposed model was fitted to S&P 500 Index by maximum likelihood estimation for the mean and volatility processes and Gillespie algorithm for the jump process. The best model was selected based on AIC and BIC. …”
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