Article
Mathematics, Interdisciplinary Applications
Yiping Yang, Hongjian Zhu, Dejian Lai
Summary: The study confirmed the failure of Brownian motion in covariate adaptive randomization design and demonstrated that fractional Brownian motion can better capture the correlation structure of test data. It was found that the conditional power under fractional Brownian motion assumption was generally higher than that under Brownian motion assumption when the Hurst exponent was greater than 0.5.
FRACTAL AND FRACTIONAL
(2021)
Article
Mathematical & Computational Biology
Jin Wang, Qian Ren
Summary: The promising zone approach in adaptive trial design has become popular for its use of the conventional test statistic instead of a weighted version in the final analysis stage, which avoids penalizing the second stage data when the sample size is increased. However, this approach lacks efficiency. This article mathematically proves that the weighted test statistic proposed by Cui, Huang, and Wang (CHW) is consistently more powerful than the Mehta and Pocock method in the statistical promising zone. It suggests using a wider zone defined by the minimally clinically meaningful treatment effect and the target conditional power in practice, and proposes a hybrid approach that applies the CHW test statistic within the chosen promising zone and the conventional test statistic outside it without a sample size increase. Simulation studies are recommended to facilitate the use of this hybrid approach.
STATISTICS IN BIOPHARMACEUTICAL RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Sanjeev Kumar, Ravendra Singh, Mohammad Zubair Khan, Abdulfattah Noorwali
Summary: This paper proposed a Drift Detection-based Adaptive Ensemble classifier for sentiment analysis and opinion mining, which efficiently handles both true positive and false positive drifts in the data stream.
PEERJ COMPUTER SCIENCE
(2021)
Article
Engineering, Multidisciplinary
Fan Yi, Peihua Qiu
Summary: This paper proposes an adaptive cumulative sum (CUSUM) chart to address the drift detection problem with a flexible drift pattern. By using the generalized likelihood ratio statistic and estimation of a shift size using the exponentially weighted least square regression procedure, the method performs well in simulation studies. It is also validated with an example involving exchange rates between Indian Rupees and US Dollars.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2022)
Article
Education & Educational Research
Deepti Prit Kaur, Archana Mantri, Ben Horan
Summary: Augmented reality has tremendous potential in engineering education, enhancing students' learning experience and spatial ability. This study develops an AR learning environment for complex theoretical topics in electronics engineering, validating its efficacy through case studies. Comparative analysis of different design variants provides design implications for creating learning environments in engineering education.
INTERACTIVE LEARNING ENVIRONMENTS
(2022)
Article
Engineering, Geological
Kai Su, Jun Tao, Xiyu Wen, Hegao Wu
Summary: This paper investigates the inner water exosmosis and conditional cooperation mechanisms in high-pressure tunnels and proposes a design calculation method. The proposed model is validated through the comparison of measured field data and calculation results. The impact of the loose rock zone on design-related parameters is also analyzed.
INTERNATIONAL JOURNAL OF GEOMECHANICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Jalal Taji, Hiwa Farughi, Hasan Rasay
Summary: This paper develops an economic-statistical design of a variable-parameter multivariate control chart using a proper Markov chain approach to monitor the process mean subject to multiple assignable causes. Numerical examples based on the Taguchi method are provided, and a comparison with a fix-parameter model is done to evaluate the savings of using the adaptive control chart.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Muhammad Atif Sarwar, Muhammad Noor-ul-Amin
Summary: This study proposes a memory-based control chart to monitor the mean of a normally distributed process. The chart is more efficient compared to competitor charts, as it uses an estimator and continuous function to determine the smoothing constant.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2022)
Article
Engineering, Multidisciplinary
Burcu Aytacoglu, Anne R. R. Driscoll, William H. H. Woodall
Summary: Dynamic control limits are useful in designing control charts when there are changes in sample sizes, risk scores, or other covariate values over time. Computer simulation can be used to control the false alarm rate and in-control run length properties. The approach of using dynamic control limits is demonstrated with the design of adaptive exponentially weighted moving average (AEWMA) control charts.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2023)
Article
Chemistry, Applied
Gustavo Galo Marcheafave, Claudia Domiciano Tormena, Amelia Elena Terrile, Carlos Alberto Rossi Salamanca-Neto, Elen Romao Sartori, Miroslava Rakocevic, Roy Edward Bruns, Ieda Spacino Scarminio, Elis Daiane Pauli
Summary: The study chemically explored the ecometabolic mixture design-fingerprinting in coffee under climate change, revealing the best separations under different extractor solvents. 1H NMR and SWV data indicated changes in compound contents in beans with climate change.
Article
Computer Science, Artificial Intelligence
Xingqiang Zhao, Zhen Liu, Quanmin Zhu
Summary: In this article, a compensation-based adaptive switching controller synthesis is proposed to handle the trajectory tracking issue of the industrial manipulator system (IMS) with modeling uncertainty, varying loads (VL), and unknown dead-zone characteristic. The dynamic model of the IMS is approximated as a switched system (SS) with a specified modal set. The nonlinear term related to the plant model is approximated by radial basis function neural network (RBFNN) to eliminate the reliance on the accurate model, and the unknown dead-zone is estimated and compensated by neural network (NN) to eliminate potential perturbations and estimated errors. The designed controller with switching mechanism effectively solves the problem of degradation of the tracking accuracy caused by varying loads.
Article
Health Care Sciences & Services
Guogen Shan
Summary: Adaptive designs are increasingly used in clinical trials to assess new drugs' effectiveness. Two adaptive designs, one based on the conditional power approach and the other based on the promising zone strategy, have been proposed. These designs preserve error rates and satisfy the monotonic property. The proposed designs can be easily applied to real trials with limited computing resources.
STATISTICAL METHODS IN MEDICAL RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Shuai Sui, C. L. Philip Chen, Shaocheng Tong
Summary: This article introduces a novel adaptive switching dynamic surface control strategy for fractional-order nonlinear systems, utilizing fractional-order Lyapunov stability criterion for designing control laws and adaptive laws. By combining universal approximation of neural networks and compensation technique of unknown dead-zones, an adaptive switching DSC controller is developed to ensure stability of switched fractional-order systems in the presence of unknown dead-zones and arbitrary switchings.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2021)
Article
Pharmacology & Pharmacy
Maximilian Pilz, Carolin Herrmann, Geraldine Rauch, Meinhard Kieser
Summary: Adaptive planning of clinical trials allows modifying the entire trial design at any time point mid-course. In this paper, we propose an approach to construct adaptive designs with defined features by solving an optimization problem for unplanned design reassessment. By using the conditional error principle, we present a method to optimally modify the trial design at an unplanned interim analysis while protecting the type I error rate.
PHARMACEUTICAL STATISTICS
(2022)
Article
Engineering, Civil
Siamak Talatahari, Hedayat Veladi, Mahdi Azizi, Ali Moutabi-Alavi, Salar Rahnema
Summary: This paper discusses the potential of utilizing improved metaheuristic approaches in optimal design of building structures, introducing a new search algorithm and dividing the searching phase into three separate stages to enhance the algorithm's convergence capabilities. The proposed metaheuristic approach demonstrates better outcomes in complex optimization problems compared to other methods.
EARTHQUAKE ENGINEERING AND ENGINEERING VIBRATION
(2022)