Vibration control of Stewart platform based on an improved nonlinear proportional-derivative control method by Ke Jin, Ruoning Wang, Yue Zhang, Xueyan Li

“…This paper proposes an improved switching nonlinear proportional-derivative (S-NPD) control algorithm for a six-degree-of-freedom Stewart platform which has strong nonlinearity and uncertainty characteristics, designed to achieve vibration isolation and suppression over a wide bandwidth range while solving the problem of the difficulty in parameter tuning. The controller is designed based on the idea of variable-structure control, which achieves independent real-time adjustments of the control gains of the six legs and takes the sign of the proportional and differential errors as the switching function to realize the feed-forward correction of the proportional gain. …”
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Pavement Disease Visual Detection by Structure Perception and Feature Attention Network by Bin Lv, Shuo Zhang, Haixia Gong, Hongbo Zhang, Bin Dong, Jianzhu Wang, Cong Du, Jianqing Wu

“…Furthermore, while achieving significant accuracy improvements, the proposed method maintains a similar parameter count as the baseline, preserving its low computational demands and high efficiency, making it suitable for real-time pavement damage detection in energy-constrained environments.…”
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Neuro-fuzzy control of bilateral teleoperation system with transmission timedelay and force feedback using Arduino Due board by Hakima Rahem, Rabah Mellah, Massinissa Zidane, Abdelhakim Saim

“…Thanks to the speed and power of the microprocessor of the Arduino Due board and the functionalities of Matlab-Simulink, a real experimental platform of master-slave teleoperation system with transmission delay and force feedback is designed. …”
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Copula Approximate Bayesian Computation Using Distribution Random Forests by George Karabatsos

“…Ongoing modern computational advancements continue to make it easier to collect increasingly large and complex datasets, which can often only be realistically analyzed using models defined by intractable likelihood functions. This <i>Stats</i> invited feature article introduces and provides an extensive simulation study of a new approximate Bayesian computation (ABC) framework for estimating the posterior distribution and the maximum likelihood estimate (MLE) of the parameters of models defined by intractable likelihoods, that unifies and extends previous ABC methods proposed separately. …”
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Development and evaluation of customized software to automatically align macula and optic disc centered scanning laser ophthalmoscope fundus images by M. Elena Martinez-Perez, Franziska G. Rauscher, Pingping Zhao, Tobias Elze

“…When including the difference of fitting related parameters between the two methods, the AUC improved to 0.95. …”
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An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

“…Then, we applied wavelet transform (WT) to capture the time-frequency characteristics of the signals and extract energy features and created a feature set comprising 30 features and selected 10 most relevant ones using the “SelectKBest” function.We compared six algorithms, optimized their parameters, and evaluated the stability and fitting performance of each algorithm. …”
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Follicular fluid-derived extracellular vesicles miR-34a-5p regulates granulosa cell glycolysis in polycystic ovary syndrome by targeting LDHA by Xueying Cui, Xiaocan Lei, Tao Huang, Xueyan Mao, Zhiwei Shen, Xiuli Yang, Wanting Peng, Jingjing Yu, Shun Zhang, Peng Huo

“…Targets of miR-34a-5p were identified by dual-luciferase reporter assays, and quantitative real-time polymerase chain reaction and western blotting were performed to determine gene and protein expression. …”
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Effects of physical exercise on cardio-respiratory health of young adults during short-term exposure to varying air pollution levels by Xingsheng Jin, Weiyi Wang, Qian Sun, Yang Chen, Bingxiang Xu, Haili Tian

“…Additionally, there were significant declines in lung function parameters, including FVC (-6.84, P = 0.04), FEV1 (-8.97, P = 0.009), and PEF (-9.50, P = 0.013). …”
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Establishment and characterization of liver‐specific Apoa4‐Cre and Cyp2c11‐Cre rat models in juvenile and adult stages by Wei Dong, Xiang Gao, Feifei Guan, Jirong Pan, Wei Chen, Li Zhang, Lianfeng Zhang

“…Methods RNA sequencing and real‐time polymerase chain reaction (PCR) were used to screen and confirm the presence of liver‐specific genes. …”
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The Hölder and Minkowski Inequalities Utilizing a Fractional Operator Involvement of Pseudo-Operator by Hadiseh Fallah Andevari, Azizollah Babakhani, Daniela Oliveira

“…A generalized integral operator of order $\alpha$ of a real function $f$  including a parameter set $P$, namely $K_P^\alpha f(t)$ has been introduced by O. …”
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Minimising latency of pitch detection algorithms for live vocals on low-cost hardware

“…The results revealed that the infinite-peak-clipping autocorrelation function (IACF) performed better than the other autocorrelation functions tested and also identified ideal parameter values or value ranges to provide the optimal latency/accuracy balance. …”
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A Bayesian Approach to Step-Stress Partially Accelerated Life Testing for a Novel Lifetime Distribution by Mervat K. Abd Elaal, Hebatalla H. Mohammad, Zakiah I. Kalantan, Abeer A. EL-Helbawy, Gannat R. AL-Dayian, Sara M. Behairy, Reda M. Refaey

“…This paper develops a Bayesian model based on Type II censored data, assuming that item lifetimes follow the Topp–Leone inverted Kumaraswamy distribution, a flexible alternative to classical lifetime models due to its ability to capture various hazard rate shapes and to model bounded and skewed lifetime data more effectively than traditional models observed in real-world reliability data. Bayes estimators of the model parameters and acceleration factor are derived under both symmetric (balanced squared error) and asymmetric (balanced linear exponential) loss functions using informative priors. …”
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Microneedles for Continuous, Minimally Invasive Monitoring: A Technology Overview by Guillermo Conejo‐Cuevas, Miguel Aller Pellitero, Leire Ruiz‐Rubio, Francisco Javier del Campo

“…Abstract Microneedles are small piercing structures, with sizes in the micron‐to‐millimeter range, designed to penetrate painlessly the outer skin layer, known as stratum corneum, providing minimally invasive access to interstitial fluid (ISF), which enables the monitoring of biochemical parameters in real‐time. This review covers recent progress to date in the area of electrochemical sensing using microneedles, and provides an overview of fabrication materials and processes, as well as applications. …”
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Towards liquid biopsy on chip for Triple Negative Breast Cancer: preliminary results on monitoring circulating miRNA-21 using portable diagnostics by Alessandra Glovi, Panagiota M. Kalligosfyri, Antonella Miglione, Sima Singh, Gabriella Iula, Antonio Giordano, Michelino De Laurentiis, Stefano Cinti

“…Abstract Liquid biopsy has emerged as a promising non-invasive, cost-effective and real-time approach for cancer diagnosis and monitoring, allowing for the detection of biomarkers in bodily fluids. …”
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Influence of sex hormones on DNA content and cystathionine-γ-lyase expression in rat myocardium by A. V. Melnik, N. V. Zaichko, I. L. Chereshnyuk, О. А. Khodakіvskyi, O. А. Haiduk

“…Cystathionine-γ-lyase gene expression was determined by real time polymerase chain reaction in (Real-time PCR). …”
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Design and Implementation of Novel Testing System for Intelligent Tire Development: From Bench to Road by Ti Wu, Xiaolong Zhang, Dong Wang, Weigong Zhang, Deng Pan, Liang Tao

“…Intelligent tire technology significantly enhances vehicle performance and driving safety by integrating sensors and electronics within the tire to facilitate the real-time monitoring of tire–road interactions. However, its testing and validation face challenges due to the absence of integrated bench and road testing frameworks. …”
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Ulcer detection in Wireless Capsule Endoscopy images using deep CNN by Vani V, K.V. Mahendra Prashanth

“…The WCE images were obtained from publicly available WCE datasets and real-time WCE video frames. The test results were subjected to hyper-parameter optimization for various tweaking parameters such as epochs, pooling schemes, learning rate, number of layers, optimizer, activation functions and drop out scheme. …”
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EFFICIENT DATA STORAGE SYSTEMS FOR MONITORING AND OPTIMIZING THE PERFORMANCE OF PHOTOVOLTAIC PANELS by Antonio Karaganov, Filip Batalov

“…This data encompasses information on output power, voltage, frequency, and other electrical parameters, as well as environmental conditions, all of which are recorded in real time. …”
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Simulation of IoT Smart Home Network with Decision Making Based on MajorDoMo Platform by U. A. Vishniakou, ChuYue Yu

“…The structure of the MajorDoMo platform is given, its functions are described, and commands for decision support are considered. …”
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Depolymerization of Rice Straw Lignin into Value-Added Chemicals in Sub-Supercritical Ethanol by Viet T Tran, Tan M. Le, Phu V. Vu, Hien M. Nguyen, Yen H.P Duong, Phung K. Le

“…Depolymerization of lignin is an important step to obtain a lignin monomer for the synthesis of functional chemicals. In the context of more lignin produced from biomass and pulp industry, converting real lignin with low purity is still required more studies. …”
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