Effective behavioral change techniques in m-health app supported interventions for glycemic control among patients with type 2 diabetes: A meta-analysis and meta-regression analys... by Kaifeng Liu, Yuxuan Xia

“…Interventions that utilized “problem solving” and “reward and threat” were associated with greater HbA1c improvement than those did not. …”
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RESEARCH OF THE HIGH HARMONICS INDIVIDUAL BLADE CONTROL EFFECT ON VIBRATIONS CAUSED BY THE HELICOPTER MAIN ROTOR THRUST by B. S. Kritsky, R. M. Mirgazov, Le Van Chung

“…It is supposed, that each of six individual blade control laws have an impact on other components. Thus, the problem reduces to the optimization issue. The individual blade control general law will be received as a result. …”
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Coordinated Scheduling for Zero-Wait RGV/ASR Warehousing Systems with Finite Buffers by Wenbin Gu, Na Tang, Lei Wang, Zhenyang Guo, Yushang Cao, Minghai Yuan

“…Additionally, in 15 randomized test scenarios, AMHS demonstrated superior performance over three benchmark algorithms—Genetic Algorithm (GA), Discrete Imperialist Competitive Algorithm (DICA), and Improved Whale Optimization Algorithm (IWOA)—achieving an average makespan reduction of 12.6% relative to GA.…”
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A Coupling Error Compensation Approach Concerning Constrained Space Coordinate Precision of a Heavy-Load Longitudinal and Transversal Swing Table by Manxian Liu, Rui Bao, Shuo Li, Liang Ji, Suozhuang Li, Xiaoqiang Yan, Wei Li

“…In this paper, an accurate error compensation method based on geometric parameter correction and process optimization is proposed for the problem of coupling error in a heavy-load longitudinal and transversal swing table (HLTST) under space constraints, which makes it difficult to control the position efficiently and accurately. …”
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DeepMethyGene: a deep-learning model to predict gene expression using DNA methylations by Yuyao Yan, Xinyi Chai, Jiajun Liu, Sijia Wang, Wenran Li, Tao Huang

“…Our model transforms methylation Beta values to M values for Gaussian distributed data optimization, dynamically adjusts the output channels according to input dimension, and implements residual blocks to mitigate the problem of gradient vanishing when training very deep networks. …”
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Spatial estimation of large-scale soil salinity using enhanced inverse distance weighting method and identifying its driving factors by Yannan Liu, Yingzhi Qian, Yan Zhu, Wanli Xu, Guanghui Wei, Jiesheng Huang, Yuhao Qiao, Qianxi Ma

“…The unrealistic ''bull's-eye'' effect is a common problem when using the inverse distance weighting method (IDW) for interpolation. …”
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HOPCA by Cemre Çubukçuoğlu

“…In the optimization models, the considered performance indicators are related with patients (e.g. ease of way-finding), staff (e.g. average walking-time), and operations (e.g. fitness for workflows). …”
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Cross-Layer Path Configuration for Energy-Efficient Communication over Wireless Ad Hoc Networks by Hong-Chuan Yang, Kui Wu, Wu-Sheng Lu

“…Under certain constraints on the maximum tolerable transmission delay and the required packet delivery ratio, we solve optimization problems to jointly schedule the transmitting power of each transmitting node and the retransmission limit over each hop. …”
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PCB defect detection based on pseudo-inverse transformation and YOLOv5. by Xiaoli Wang, Siti Sarah Maidin, Malathy Batumalay

“…Compared with other models, the proposed PCB defect detection model had an average increase of 10.90% in recall and 12.87% in average detection accuracy. …”
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Formation and modeling of stochastic trajectories of multidimensional dynamic systems with assigned properties by A. V. Ausiannikau, V. M. Kozel

“…The proposed method allows to solve optimization problems binding parameters of stochastic trajectory with its average length and time of its passage.…”
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Statistical bayesian algorithm for processing thermographic images of the cow udder for diagnosing mastitis by I. I. Hirutsky, A. G. Senkov, Y. A. Rakevich

“…The optimal temperature threshold values corresponding to the Bayesian criterion of the minimum average risk in the above multi-hypothesis detection problem are determined by numerical modelling.…”
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Research on Multifunctional Rotating Target Device by HU Yinqiu, CHEN Hongtao, ZHANG Kun, SONG Yingmin, LIU Xingyu, GONG Xinbao, SUN Qi, LI Yankun

“…Finally, this paper also analyzes the problems in the simulation calculation results and measurement results, and proposes improvement and optimization plans.…”
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Methodology of Determining the Location of the Distribution Center of Material Flows in a Combined Scheme of Goods Delivery by Svetlana A. Zhestkova

“…Despite the sufficient number of existing ways to solve this problem, they have some disadvantages: they are not entirely realistic and do not completely meet the requirements of logistical optimization. …”
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Level Set Based Coverage Holes Detection and Holes Healing Scheme in Hybrid Sensor Network by Xiaosheng Yu, Chengdong Wu, Dongyue Chen, Nan Hu

“…This algorithm could leverage mobility to optimize the average coverage rate and the average movement distance of the mobile nodes. …”
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Multi-Target Firefighting Task Planning Strategy for Multiple UAVs Under Dynamic Forest Fire Environment by Pei Zhu, Shize Jiang, Jiangao Zhang, Ziheng Xu, Zhi Sun, Quan Shao

“…Results from benchmark tests and case studies indicate that the improved MP–GWO algorithm outperforms the grey wolf optimizer (GWO), pelican optimizer (POA), Harris hawks optimizer (HHO), coyote optimizer (CPO), and particle swarm optimizer (PSO) in solving more complex optimization problems, providing better average results, greater stability, and effectively reducing flight time and path cost. …”
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Research on Railway Passenger Volume Forecast Based on the Spline Interpolation and IPSO-Gradient Difference Acceleration Rule by Dingyuan Fan, Fei Yang, Jinghao Ji, Zexi Zhang

“…In addition, an improved particle swarm optimization (IPSO) is proposed to optimize the gradient difference acceleration law to combine and improve the predicted value and further improve the prediction accuracy of the railway passenger traffic. …”
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Exploring Dynamic Behavior in a Competition Duopoly Game Based on Corporate Social Responsibility by A. A. Elsadany, Abdullah M. Adawi, A. M. Awad

“…The distinctive aspect of the competition game is the incorporation of discrete difference equations into the players’ optimization problems. Both rivals seek to achieve optimal quantity outcomes by maximizing their respective objective functions. …”
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Cyber epidemic spread forecasting based on the entropy-extremal dynamic interpretation of the SIR model by Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Tetiana Gryshchuk

“…The process of estimating the probability density functions of these parameters and noises is implemented as a strict optimization problem. The resulting mathematical apparatus is generalized in the form of two versions of the entropy-extremal adaptation of the SIR model, which are applied to forecast the spread of a cyber epidemic. …”
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Towards automatic US-MR fetal brain image registration with learning-based methods by Qi Zeng, Weide Liu, Bo Li, Ryne Didier, P. Ellen Grant, Davood Karimi

“…Specifically, the average target registration error for our method is less than 4 mm, which is significantly better than existing methods. …”
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Sound-Based Unsupervised Fault Diagnosis of Industrial Equipment Considering Environmental Noise by Jeong-Geun Lee, Kwang Sik Kim, Jang Hyun Lee

“…This study proposes a fault diagnosis method using a variational autoencoder (VAE) and domain adaptation neural network (DANN), both of which are based on unsupervised learning, to address this problem. The proposed method minimizes the impact of environmental noise and maintains the fault diagnosis performance in altered environments. …”
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