Application of Real-Time 3D Navigation System in CT-Guided Percutaneous Interventional Procedures: A Feasibility Study by Priya Bhattacharji, William Moore

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Comparison and Application of Pore Pressure Prediction Methods for Carbonate Formations: A Case Study in Luzhou Block, Sichuan Basin by Wenzhe Li, Pingya Luo, Yatian Li, Jinghong Zhou, Xihui Hu, Qiutong Wang, Yiguo He, Yi Zhang

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Image-based food monitoring and dietary management for patients living with diabetes: a scoping review of calorie counting applications by Asal Rouhafzay, Asal Rouhafzay, Ghazal Rouhafzay, Jalila Jbilou, Jalila Jbilou

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An MR Damper Parametric Model with luz(...) Projection Function and Its Application in an Open-loop Force Tracking Control System by Raymundus Lullus Lambang Govinda Hidajat, Fitrian Imaduddin, Budi Santoso, Irianto Irianto, Azma Putra, Ubaidillah Ubaidillah

“…The desired force is sinusoidal, square, and sawtooth waveform. Relative Error (RE) of 0.000, 0.0123, and 0.0563, respectively, are achieved.…”
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Distributed hybrid consensus–based square-root cubature quadrature information filter and its application to maneuvering target tracking by Jun Liu, Yu Liu, Kai Dong, Ziran Ding, You He, Qichao Li

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Estimation of parameters for the modified Weibull distribution under step-stress accelerated life testing with application to aircraft windshields data by Mohammed M. A. Almazah, Mohammed A. Alshahrani, Qasim Ramzan, Irfan Ali Raza, Muhammad Tahir, Zahoor Ahmad

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Oxidase-Like Catalytic Performance of Nano-MnO2 and Its Potential Application for Metal Ions Detection in Water by Kai Sun, Qingzhu Liu, Rui Zhu, Qi Liu, Shunyao Li, Youbin Si, Qingguo Huang

“…MnO2 nanozyme-based detecting systems achieved high accuracy (relative errors: 2.2–26.1%) and recovery (93.0–124.0%) for detection of the four metal ions, respectively. …”
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AI4Food Project: Application of Personalised Nutrition Integrating Artificial Intelligence in Nutritional Interventions Focused on Weight Loss by Isabel Espinosa-Salinas, Gala Freixer, Sergio Romero-Tapiador, Blanca Lacruz Pleguezuelos, Ruben Tolosana, Javier Ortega-Garcia, Enrique Carrillo-De Santa Pau

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Evaluating a Novel Theoretical Strategy for the Screening DES(s) for Potential Application in EOR Processes Using Quantum Mechanics Calculations by Maryann I. Uzochukwu, Toyese Oyegoke, Raheem O. Momoh, Muhammed T. Isa, Suleiman M. Shuwa, Baba Y. Jibril

“…It also can be employed as a quick check to reduce trial and error during the experimental selection of energetically stable DESs in the laboratory for their potential application for EOR performance in a cost-effective manner.…”
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Feasibility study on the application of HD-sEMG-based force estimation technology in the assessment of hand dysfunction in cerebral palsy by Xinlu Zhang, Kun Wang, De Wu, Xu Zhang, Xiang Chen

“…IntroductionIn response to the demand for a quantifiable means for assessing hand dysfunction in cerebral palsy (CP), this paper proposed and conducted a novel high-density (HD)-surface electromyography (sEMG)-based muscle force estimation framework.Methods and ResultsA highly generalized source network was developed firstly based on long short-term memory (LSTM) networks and three different healthy adult HD-sEMG-force datasets, achieving a root mean square error (RMSE) of 6.31% in force estimation across various force modes; Then, transfer learning techniques were applied to fine tune the well-trained source network using data from healthy children, establishing five gesture-specific target networks that achieved RMSE below 10% in force estimation tasks independent of the subjects; Finally, a muscle force estimation experiment was conducted on 16 children with CP using the gesture-specific target networks.ConclusionBy comparing and analyzing the experimental results of CP group and healthy control group, CP children with different grades of Manual Ability Classification System (MACS), and CP children with different types of symptoms, it was verified that the abnormal EMG-force relationship obtained using the proposed muscle force estimation scheme had the potential for clinical application in the assessment of CP hand dysfunction. …”
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APPLICATION OF THE SPECTROMETRIC METHOD FOR CALCULATING THE DOSE RATE FOR CREATING CALIBRATION HIGHLY SENSITIVE INSTRUMENTS BASED ON SCINTILLATION DETECTION UNITS by R. V. Lukashevich, G. A. Fokov

“…Modernization of the measuring path to minimize the error in measuring the response of the detector to gamma radiation has already reached its technological ceiling and does not give the proper effect. …”
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Can linear regression modeling help clinicians in the interpretation of genotypic resistance data? An application to derive a lopinavir-score. by Alessandro Cozzi-Lepri, Mattia C F Prosperi, Jesper Kjær, David Dunn, Roger Paredes, Caroline A Sabin, Jens D Lundgren, Andrew N Phillips, Deenan Pillay, EuroSIDA Study, United Kingdom CHIC/United Kingdom HDRD Study

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A robot process automation based mobile application for early prediction of chronic kidney disease using machine learning by Md. Hasan Imam Bijoy, Md. Jueal Mia, Md. Mahbubur Rahman, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura

“…The models’ performance was assessed using accuracy, precision, recall, F1-Score, error rate, AUC, and computational time. Among the tested algorithms, MKR Stacking achieved the highest accuracy of 99.50%, outperforming Random Forest (98.75%) and MKR Voting (98%). …”
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Reliability Analysis of Baremetal and FreeRTOS Applications on Microchip PolarFire SoC RISC-V Multiprocessors Using High-Energy Protons by Andre M. P. Mattos, Douglas A. Santos, Luigi Dilillo

“…Finally, we evaluate the effectiveness of error mitigation and awareness in PolarFire SoC using built-in monitoring and test instrumentation with enhanced observability.…”
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Research and application of a novel grey multivariable model in port scale prediction under the impact of Free Trade Zone by Yuyu Sun, Yuchen Zhang, Zhiguo Zhao

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Enhanced nonlinear sliding mode control technique for wind power generation systems application: Theoretical design and comparative study by Yattou El Fadili, Ismail Boumhidi

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Variogram modelling optimisation using genetic algorithm and machine learning linear regression: application for Sequential Gaussian Simulations mapping by André William Boroh, Alpha Baster Kenfack Fokem, Martin Luther Mfenjou, Firmin Dimitry Hamat, Fritz Mbounja Besseme

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A fully remote sensing-based implementation of the two-source energy balance model: an application over Mediterranean crops by C. Cammalleri, M.C. Anderson, N.E. Bambach, A.J. McElrone, K. Knipper, M.C. Roby, G. Ciraolo, D. DeCaro, M. Ippolito, C. Corbari, A. Ceppi, M. Mancini, W.P. Kustas

“…Applications of the two-source energy balance (TSEB) scheme require either in-situ meteorological data to characterize the upper boundary conditions or the implementation of complex multi-scale approaches (ALEXI/DisALEXI). …”
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Validity and Reliability of the MyJump 2 Application for Measuring Vertical Jump in Youth Soccer Players Across Age Groups by Andreas Stafylidis, Yiannis Michailidis, Athanasios Mandroukas, Ioannis Metaxas, Konstantinos Chatzinikolaou, Charalampos Stafylidis, Sophia D. Papadopoulou, Thomas I. Metaxas

“…Reliability was assessed using intraclass correlation coefficients (ICC), standard error of measurement (SEM) and Bland–Altman test–retest analysis. …”
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Cheby-KANs: Advanced Kolmogorov–Arnold Networks for Applying Geometric Deep Learning in Quantum Chemistry Applications by Amgad Abdallah Mahmoud, Andreas Pester, Maha M. Muttardi, Frederic Andres, Shihori Tanabe, Nicolas Greneche, Hesham H. Ali

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