Adaptive drive-based integration technique for predicting rheological and mechanical properties of fresh gangue backfill slurry by Chaowei Dong, Jianfei Xu, Nan Zhou, Jixiong Zhang, Hao Yan, Zejun Li, Yuzhe Zhang

“…Analysis demonstrates that the particle swarm optimal (PSO) algorithm based on adaptive adjustment strategy can effectively optimize the hyperparameters of support vector regression (SVR), and the MC-PSO-SVR model exhibits better predictive capability (R2> 0.88) and lower error coefficients (MAE, RSE, and RMSE values approaching 0) and narrower widths of 95 % confidence intervals for yield stress, plastic viscosity, fluidity, and UCS. …”
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Performance Evaluation of Metaheuristics for LQR Controller Optimization: A Two-Wheel Balancing Robot Case Study by Jose Ricardo Rivera-Ruiz, Ricardo Rojas-Galvan, Jose R. Garcia-Martinez, Edson Eduardo Cruz Miguel, Omar A. Barra-Vazquez, Maria Ines Cruz Orduna, Jesus Enrique Escalante-Martinez, Juvenal Rodriguez-Resendiz

“…Experimental results demonstrate that the controller optimized by differential evolution achieves the lowest root mean square error (0.4910 degrees), outperforming ABC (0.5187 degrees) and GHS (0.5195 degrees). …”
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Exploring the standardization of human nasal antibody measurements by Xuanxuan Zhang, Yulong Fu, Si Chen, Guanxing Liu, Ying Wang, Qian He, Qian Wang, Na Li, Zhongfang Wang, Ling Chen, Junzhi Wang, Zhenglun Liang, Miao Xu, Qunying Mao

“…Herein, we first proved that the sera-derived standard was not applicable for assessing nasal antibodies. Using a non-homologous standard as a calibrator introduced systematic error up to 10 times, which did not benefit the understanding of mucosal antibody response. …”
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Full grading detection method of earth-rock materials by combining preliminary screening and video image recognition by Huawei Zhou, Liang Zhu, Yihong Zhou, Dongfeng Li, Tao Fang, Chunju Zhao, Zhipeng Liang, Fang Wang, Lei Lei

“…The test results demonstrate that the method outlined in this paper is applicable for conducting six groups of earth-rock grading tests. …”
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A Comprehensive Performance Comparison of DFT-S DMT and QAM-DMT in UOWC System in Different Water Environments by Ji Du, Xiaojian Hong, Yuan Wang, Zhanpeng Xu, Wenyi Zhao, Nanfei Lv, Chao Fei, Sailing He

“…DFT-S DMT outperforms QAM-DMT in terms of bit error rate (BER) performance due to low peak-to-average-power ratio (PAPR) and capability of counteracting high frequency fading in a band-limited underwater optical wireless communication (UOWC) system. …”
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medAL-suite: A software solution for creating and deploying complex clinical decision support algorithms by Ludovico Gennaro Cobuccio, Vincent Faivre, Rainer Tan, Alan Vonlanthen, Fenella Beynon, Emmanuel Barchichat, Alain Fresco, Quentin Girard, Sinan Ucak, Sylvain Schaufelberger, Ibrahim Evans Mtebene, Peter Agrea, Emmanuel Kalisa, Gillian A. Levine, Martin Norris, Sabine Renggli, Alix Miauton, Lisa Cleveley, Kristina Keitel, Julien Thabard, Valérie D’Acremont, Alexandra V. Kulinkina

“…However, the process of translating paper-based guidelines into electronic algorithmic formats is often complex, inefficient, expensive, and error-prone due to reliance on advanced software development skills and clinical knowledge. …”
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Characterization of the Collagen Extraction Manufacturing Process Using Markov Chains and Artificial Neural Networks by Rosa Trasvina-Osorio, Sergio Alonso-Romero, Juan de Anda-Suarez, Valentin Calzada-Ledesma, Javier Yanez-Mendiola, Luis Fernando Villanueva-Jimenez, Erick Rojas-Mancera

“…In the second stage, the predictive model MCMC-ANN presented a mean square error (MSE) of 0.00171, and a standard deviation (SD) of 0.00133. …”
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Velocity-Constraint Kalman Filtering for Enhanced Bubble Tracking in Motion-Compensated Ultrasound Localization Microscopy by Yifei Zhu, Lingyin Jiang, Qi Zhang, Jun Yin, Bingze Du, Guofeng Zhang, Haijun Zhang, Bo Ding, Han Lin, Honghui Xue, Xiasheng Guo, Xiao-Yang Zhang, Jing-Ning Zhu, Dong Zhang, Juan Tu, Ning Gu

“…Furthermore, velocity constraint was applied to minimize possible erroneous traces and enhance the contrast-to-noise ratio of ULM images, while ensuring the continuity of vascular reconstruction and the accuracy of the blood flow analysis to generate a reduced normalized root mean square error in velocity estimation, even at a relatively low frame rate of 146 Hz. …”
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Research on emulsion concentration detection technology based on interpretable machine learning methods by Jiaxu Kang, Jianwei Li, Meng Wang, Xinwei Guo, Dinghao Liu, Chao Qu, Chengbin Guo

“…Field validation through 20 emulsion preparation trials revealed an average relative error of 4.02 %, demonstrating the system’s reliability and precision for industrial applications.…”
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Multi-physics ensemble modelling of Arctic tundra snowpack properties by G. J. Woolley, N. Rutter, L. Wake, V. Vionnet, C. Derksen, R. Essery, P. Marsh, R. Tutton, B. Walker, M. Lafaysse, D. Pritchard

“…Results show that both the default and Arctic SVS2-Crocus can simulate the correct magnitude of SWE (root-mean-square error, RMSE, for both ensembles – 55 kg m<span class="inline-formula">⁻²</span>) and snow depth (default RMSE – 0.22 m; Arctic RMSE – 0.18 m) at TVC in comparison to measurements. …”
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Lymphoblastoid and Jurkat cell lines are useful surrogate in developing a CRISPR-Cas9 method to correct leukocyte adhesion deficiency genomic defect by Ahmad R. Ramadan, Ahmad R. Ramadan, Noureddine Ben Khalaf, Khaled Trabelsi, Halla Bakheit, Imen Ben-Mustapha, Imen Ben-Mustapha, Mohamed-Ridha Barbouche, M-Dahmani Fathallah

“…Introduction: Leukocyte adhesion deficiency type 1 (LAD1) is a severe inborn error of immunity caused by mutations in the ITGB2 gene, which encodes the beta-2 integrin subunit (CD18). …”
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Research on atmospheric temperature fine measurements from the near surface to 60&thinsp;km altitude based on an integrated lidar system by Z. Wang, T. Guo, T. Guo, X. Li, X. Li, C. Chen, D. Liu, L. Qu, H. Li, H. Li, X. Wang

“…Below 16 <span class="inline-formula">km</span>, the lidar-derived temperatures exhibited strong agreement with radiosonde data, with a correlation coefficient of 0.95 and a root-mean-square error (RMSE) of 3.2 <span class="inline-formula">K</span>. …”
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Lateral Bearing Characteristics of Bucket Foundation Breakwaters in Soft Soil of Port Areas by WANG Shuai, ZHANG Jia-lin, HU Shao-wei, YOU Jian-hua, YANG Yu-ming

“…When the displacement reached 150.3 mm, the maximum displacement of the soil on the rear side was 54.2 mm. (3) The ultimate bearing capacity obtained from the model test was 14.26 kN, while the finite element analysis calculated 15.07 kN, with a relative error of 5.68%. The deformation process of bucket foundation breakwaters could be divided into three stages: quasi-elastic stage, plastic stage, and failure stage. …”
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A Prior Knowledge-Enhanced Deep Learning Framework for Improved Thermospheric Mass Density Prediction by Ling Li, Changyong He, Dunyong Zheng, Shaoning Li, Dong Zhao

“…Accurate thermospheric mass density (TMD) prediction is critical for applications in solar-terrestrial physics, spacecraft safety, and remote sensing systems. …”
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Optically Referenced Microwave Generator with Attosecond-Level Timing Noise by Lulu Yan, Jun Ruan, Pan Zhang, Bingjie Rao, Mingkun Li, Zhijing Du, Shougang Zhang

“…The microwave regeneration method employs an optical-to-microwave phase detector based on a fiber-based Sagnac loop to produce the error signal between a 9.6 GHz dielectric resonator oscillator (DRO) and the OFC. …”
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A study on predicting the risk of coronary artery disease in OSAHS patients based on a four-variable screening tool potential predictive model and its correlation with the severity... by Yanli Yao, Yu Li, Yulan Chen, Xuan Qiu, Gulimire Aimaiti, Ayiguzaili Maimaitimin

“…Furthermore, the model's performance, as evaluated through out-of-bag error assessment, suggests robust efficacy. The correlation analysis results showed that the scores of the four-variable screening tool were positively correlated with the Gensini scores.ConclusionAge, hypertension, AHI, and the four-variable screening tool are independent risk factors for CAD in patients with OSAHS. …”
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Robust Higher-Order Nonsingular Terminal Sliding Mode Control of Unknown Nonlinear Dynamic Systems by Quanmin Zhu, Jianhua Zhang, Zhen Liu, Shuanghe Yu

“…Three simulated bench test examples, in which two of them have representatively numerical challenges and the other is a two-link rigid robotic manipulator with two input and two output (TITO) operational mode as a typical multi-degree interconnected nonlinear dynamics tool, are studied to demonstrate the effectiveness of the MFTSMC and employed to show the user-transparent procedure to facilitate the potential applications. The major MFTSMC performance includes (1) finite time (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2.5</mn><mo>±</mo><mn>0.05</mn></mrow></semantics></math></inline-formula> s) dynamic stabilization to equilibria in dealing with total physical model uncertainty and disturbance, (2) effective dynamic tracking and small steady state error <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0</mn><mo>±</mo><mn>0.002</mn></mrow></semantics></math></inline-formula>, (3) robustness (zero sensitivity at state output against the unknown bounded internal uncertainty and external disturbance), (4) no singularity issue in the neighborhood of TSM <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>σ</mi><mo>=</mo><mn>0</mn></mrow></semantics></math></inline-formula>, (5) stable chattering with low amplitude (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>±</mo><mn>0.01</mn></mrow></semantics></math></inline-formula>) at frequency 50 mHz due to high gain used against disturbance <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>d</mi><mo stretchy="false">(</mo><mi>t</mi><mo stretchy="false">)</mo><mo>=</mo><mn>100</mn><mo>+</mo><mn>30</mn><mi>sin</mi><mo stretchy="false">(</mo><mn>2</mn><mi>π</mi><mi>t</mi><mo stretchy="false">)</mo></mrow></semantics></math></inline-formula>). …”
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Feasibility of virtual T2-weighted fat-saturated breast MRI images by convolutional neural networks by Andrzej Liebert, Dominique Hadler, Chris Ehring, Hannes Schreiter, Luise Brock, Lorenz A. Kapsner, Jessica Eberle, Ramona Erber, Julius Emons, Frederik B. Laun, Michael Uder, Evelyn Wenkel, Sabine Ohlmeyer, Sebastian Bickelhaupt

“…A high level of high-frequency error norm (0.87) indicated a strong blurring presence in the VirtuT2 images, which was also confirmed by qualitative reading. …”
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SWOT mission enables high-precision and wide-coverage lake water levels monitoring on the Tibetan Plateau by Suhui Wu, Yu Cai, Chang-Qing Ke, Yao Xiao, Haili Li, Zhiyue He, Zheng Duan

“…Validation against ICESat-2 data demonstrated high consistency, with an average bias of −0.01 ± 0.13 m and a mean absolute error (MAE) of less than 0.1 m. SWOT outperformed other radar altimeters in monitoring lake levels when compared to ICESat-2. …”
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Gb&#x002F;s Underwater Wireless Optical Communications Using Series-Connected GaN Micro-LED Arrays by Georgios N. Arvanitakis, Rui Bian, Jonathan J. D. McKendry, Chen Cheng, Enyuan Xie, Xiangyu He, Gang Yang, Mohamed S. Islim, Ardimas A. Purwita, Erdan Gu, Harald Haas, Martin D. Dawson

“…High speed wireless communications are highly desirable for many industrial and scientific underwater applications. Acoustic communications suffer from high latency and limited data rates, while Radio Frequency communications are severely limited by attenuation in seawater. …”
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