Formulation Development of Directly Compressible Tablets Incorporating Trisamo Extract With Synergistic Antioxidant Activity by Jirapornchai Suksaeree, Thaniya Wunnakup, Natawat Chankana, Laksana Charoenchai, Chaowalit Monton

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Calculation of hemodynamics by the Fick method in pulmonary hypertension associated with congenital heart defects by A. A. Shmalts, T. V. Martynyuk, S. N. Nakonechnikov

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USING THE ANYLOGIC ENVIRONMENT FOR MODELING AND ANALYSIS OF THE INFORMATION SECURITY AUDIT PROCESS by Kamilla M. Khuranova, Igor D. Kologorov, Sergey A. Reznichenko, Leonid N. Kessarinskiy

“…Validation against RTM Group’s real-world data showed an audit duration prediction error margin within a few percentage points. Conclusions confirm the effectiveness of simulation modeling for enhancing audit transparency. …”
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Non-Iterative Reconstruction and Selection Network-Assisted Channel Estimation for mmWave MIMO Communications by Jing Yang, Yabo Guo, Xinying Guo, Pengpeng Wang

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Remote sensing with machine learning for multi-decadal surface water monitoring in Ethiopia by Mathias Tesfaye, Lutz Breuer

“…The estimated water cover for our study sites shows a high degree of agreement with a benchmark dataset from the Joint Research Center (JRC), as indicated by coefficient of determination (R2) > 0.9 and root mean square percentage error (RMSPE) < 1%. …”
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Corn Yield Forecasting in Northeast China Using Remotely Sensed Spectral Indices and Crop Phenology Metrics by Meng WANG, Fu-lu TAO, Wen-jiao SHI

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Physiologically Based Pharmacokinetic Simulation of Tofacitinib in Humans Using Extrapolation from Single-Species Renal Failure Model by Sung Hun Bae, So Yeon Park, Hyeon Gyeom Choi, So Hee Kim

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Digital Twins for 3D Confocal Microscopy: Near-Field, Far-Field, and Comparison with Experiments by Poul-Erik Hansen, Tobias Pahl, Liwei Fu, Ida Nielsen, Felix Rosenthal, Stephan Reichelt, Peter Lehmann, Astrid Tranum Rømer

“…Simulations of the instrument transfer function, tilted gratings, and gratings with edge rounding offer insights into some experimentally observed effects. This research therefore provides a promising approach for correcting systematic errors in confocal microscopy.…”
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Pharmacy Customers’ Attitudes Towards Expanded Pharmacy Services in Croatia by Josipa Bukic, Doris Rusic, Toni Durdov, Kristian Tarabaric, Darko Modun, Dario Leskur, Ana Seselja Perisin, Martin Kondza, Josko Bozic

“…Additional pharmacy services are a cost-effective way to prevent medication errors, reduce the number of drug-related problems, and prevent chronic disease progression. …”
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Enhancing hydrometric monitoring in Ethiopia's Abbay basin: A collaborative framework for Data-Scarce Africa by Ermias Teferi, Greg O'Donnell, Woldeamlak Bewket, Gete Zeleke, Claire Walsh

“…Second, we derived precise catchment boundaries and stream networks for over 100 monitoring stations, revealing errors in the existing hydrometric system. Third, we performed rigorous quality checks through statistical analysis, including outlier analysis and homogeneity tests on daily streamflow data from more than 100 stations, ensuring data reliability and integrity. …”
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Fault diagnosis of micro gas turbine using a hybrid scheme of thermodynamic analysis and artificial neural network by S.S. Talebi, A. Madadi, A.M. Tousi

“…An in-house engine model is employed to prepare an inclusive database of engine operations. Sensors' errors are also applied to the database. A set of transformed variables is defined to reduce the dimension of the problem. …”
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A digital twin-driven enhanced visualization method for high-steep slope scene by Jun Zhu, Ying Ren, Yukun Guo, Jingyi Lu, Jianlin Wu, Zhihao Guo, Hengchao Gu, Hongyue Zhao

“…Research on enhanced visualization of high-steep slope twin scenes is crucial for accurately depicting relationships between entities and improving the efficiency and accuracy of scene cognition. …”
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Artificial intelligence-enhanced diagnosis of degenerative joint disease using temporomandibular joint panoramic radiography and joint noise data by Eunhye Choi, Seokwon Shin, Kijin Lee, Taejin An, Richard K. Lee, Sunmin Kim, Youngdoo Son, Seong Teak Kim

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Contributions to increasing the accuracy and reducing the forming forces of robot-based two-point incremental forming by Scholz Peter, Weise Dieter, Pierer Alexander, Naumann Christian, Dix Martin, Terlau Marina, von Freyberg Axel, Fischer Andreas

“…This article presents the latest research results on the enhancement of robot-based incremental sheet metal forming performance in detail and comprehensively. …”
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Design of Ricker Wavelet Neural Networks for Heat and Mass Transport in Magnetohydrodynamic Williamson Nanofluid Boundary-Layer Porous Medium Flow with Multiple Slips by Zeeshan Ikram Butt, Muhammad Asif Zahoor Raja, Iftikhar Ahmad, Muhammad Shoaib, Rajesh Kumar, Syed Ibrar Hussain

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Mechanical properties of 3D-Printed aluminum, nickel, and titanium using a hybrid machine learning and computational mechanics approach by Sara Samine, Mohamed Karouchi, Maria Zemzami, Nabil Hmina, Soufiane Belhouideg

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ANALYSIS OF THE PROCESS OF IMPLEMENTING THE 5S METHOD AT ZPS "LUBIANA" S.A. by Małgorzata Blicharska, Iwona Szmaglik, Oliwia Szulc, Lech Murawski, Adam Szeleziński, Krzysztof Jasiński

“…Results demonstrate significant workplace organization improvements including reduced search times, fewer errors, and enhanced safety compliance in the packaging department. …”
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Uncertainty assessment of electromagnetic exposure safety for human body with intracranial artery stent around EV-WPT based on K-GRU surrogate model by Jiaxin Liu, Kaifeng Zhao, Quanyi Yu, Hongwei Zhou, Tianhao Wang, Yaodan Chi

“…Considering uncertainties in WPT manufacturing errors and human positioning relative to WPT, this article employs a modified Gate Recurrent Unit (GRU) architecture based on the Kolmogorov–Arnold Network (K-GRU) to quantify these uncertainties in electromagnetic safety assessment. …”
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Attention Test as a Predictive Marker of Vasospasm in Patients with Aneurysmal Subarachnoid Hemorrhage by Helaina Lehrer, Ankit Bansal, Nicki Mohammadi, Anmol Mittal, John Liang, Alexandra S. Reynolds

“…This study provides support for future prospective research to help elucidate the utility of TTO testing for monitoring and treatment of patients with aSAH.…”
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Prediction of the discharge coefficient of steeply crested inclined weirs using different neural network techniques by Adnan A. Ismael, Abdulnaser A. Ahmed, Raid Rafi Omar Al-Nima, Mohammed Khaire Hussain

“…CFNN achieved a significant reduction in mean square errors (MSE), with values of 9.4363×10-12 and 1.6336×10-05, respectively, in the training and testing phases. …”
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