Reduced‐Order Probabilistic Emulation of Physics‐Based Ring Current Models: Application to RAM‐SCB Particle Flux by Alfredo A. Cruz, Rashmi Siddalingappa, Piyush M. Mehta, Steven K. Morley, Humberto C. Godinez, Vania K. Jordanova

“…Focusing on a subset of particle flux, we use Principal Component Analysis for dimensionality reduction and Long Short‐Term Memory (LSTM) neural networks to perform dynamic modeling. …”
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How have unintended pregnancies and contraceptive use among adolescent girls and young women changed in Uganda? Evidence from the 2014 and 2019 PMA national surveys. by Simon P S Kibira, Mary Nakafeero, Mathew Amollo, Ronald Ssenyonga, Rawlance Ndejjo, Phil Anglewicz, Melody Kukundakwe, Mabel Luzze, Samuel Kagongwe, Victor Guma, Vivian Zalwango, Fredrick Edward Makumbi

“…A weighted comparison of the prevalence of unintended pregnancies was made between the surveys, and statistical significance determined at a 5% type-1 error rate. All analyses were conducted with Stata version15 using svy surveyset methodology accounting for complex survey design. …”
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Predicting the passive control of fluid forces over circular cylinder in a time dependent flow using neuro-computing by Atif Asghar, Rashid Mahmood, Afraz Hussain Majeed, Hammad Alotaibi, Ahmed Refaie Ali

“…These results show that the mean square error values are very close to zero, indicating a strong correlation between the fluid force coefficients obtained from CFD and those predicted by the ANN. …”
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Prevalence and Causes of Blindness and Vision Impairment in the State of Qatar: Results of a Population-Based Cross-Sectional Study by Mohammed AlThani, Mariam Abdulmalik, Samya AlAbdulla, Kholoud AlMotawaa, Halla Algadi, Muhammad Rabiu, Ian McCormick, Shadi AlAshwal

“…VI was mainly caused by DR, cataract, and uncorrected refractive error. Further reduction in vision loss can be achieved with early detection and improved access using innovation and technology. …”
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The combined impact of AI and VR on interdisciplinary learning and patient safety in healthcare education: a narrative review by Emmanuel Aoudi Chance

“…Strategic implementation can contribute to error reduction, improved patient outcomes, and a culture of safety. …”
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Tomato Yield Estimation Using an Improved Lightweight YOLO11n Network and an Optimized Region Tracking-Counting Method by Aichen Wang, Yuanzhi Xu, Dong Hu, Liyuan Zhang, Ao Li, Qingzhen Zhu, Jizhan Liu

“…For fruit counting, the results showed that the proposed region tracking-counting method achieved a mean counting error (MCE) of 6.6%, representing a reduction of 5.0% and 2.1% compared to the Bytetrack and cross-line counting methods, respectively. …”
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Web-Based Google Translate Inconsistencies in Bahasa-Arabic Translations from the ‎Arabic Thesis Writer's Perspective by Rahmat Satria Dinata, Ahmad Nur Mizan, Meliza Budiarti, Ilya Husna

“…Inconsistencies in the gender aspect, as well as the mufrad, mutsanna, and jamak aspects, have an impact on the fourth error pattern, namely grammatical inconsistencies, namely errors in using the verb (fi'il) in a sentence. …”
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Aspect-Oriented Approach of Non-Functional Requirements for Embedded System-Based IoT Applications by Anirban Bhar, Sabnam Sengupta, Sankhayan Choudhury

“…Designing high-performance embedded devices is usually time consuming and error-prone due to conflicting non-functional requirements (NFRs) like performance, timeliness, and sustainability. …”
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Reduced Complexity Initial Synchronization for 5G NR Multibeam LEO-Based Non-Terrestrial Networks by Ashish Kumar Meshram, Sumit Kumar, Jorge Querol, Stefano Andrenacci, Symeon Chatzinotas

“…We conducted extensive simulations to assess the performance of the S- and Ka-bands under the NTN channel model and validated it with the corresponding analytical expressions conditioned on satellite trajectory uncertainty and beam-pointing error. Our method ensures that the probability of PSS detection remains above 90% while maintaining a false alarm rate of 1% at a Signal-to-Noise Ratio (SNR) as low as −6 (dB) if the standard deviation of the satellite trajectory and beam-pointing errors are within 5 (km) and 0.05°, respectively.…”
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Nonlinear Compensation of Multi-CAP VLC System Employing Clustering Algorithm Based Perception Decision by Xingyu Lu, Kaihui Wang, Liang Qiao, Wen Zhou, Yiguang Wang, Nan Chi

“…The system performances including the <italic>Q</italic> factor, bit error rate (BER), and computational complexity are thoroughly investigated when using a pure linear blind equalization scheme (modified cascaded multimodulus algorithm, M-CMMA) and when using hybrid linear and nonlinear equalizers (M-CMMA &#x002B; Volterra series based nonlinear equalizer). …”
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Improving large-scale snow albedo modeling using a climatology of light-absorbing particle deposition by M. Gaillard, M. Gaillard, V. Vionnet, M. Lafaysse, M. Dumont, P. Ginoux

“…The revised coefficient improved snow albedo simulations at the 10 experimental sites (average reduction in root-mean-square error (RMSE) of 10 %), with the largest improvements found for the sites in the Arctic (RMSE reduced by 25 %). …”
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Assessment of Sensitivity and Validity Hydrodynamic Model in Cisadane Using Delft3d Flow Model by Gumilang Ramadhan Pasma, Hamzah Haru Radityo Suharyanto, Hanah Khoirunnisa, Reni Wijayanti, Gugum Gumbira, Reno Arief Rachman

“…The National Capital Integrated Coastal Development (NCICD) program was prioritized as a disaster reduction technology within the annual target of BRIN in 2022. …”
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Optical Versus Electronic Implementation of Probabilistic Graphical Inference and Experimental Device Demonstration Using Nonlinear Photonics by Masoud Babaeian, Patrick Keiffer, Mark A. Neifeld, Ratchaneekorn Thamvichai, Robert A. Norwood, Pierre-A. Blanche, John Wissinger, N. Peyghambarian

“…The probabilistic inference model has been widely used in various areas, such as error-control coding, machine learning, speech recognition, artificial intelligence, and statistics. …”
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Evaluating the effect of digital elevation model resolution in lahar hazard simulations: insights from the 1877 Cotopaxi scenario, Ecuador by Francisco J. Vasconez, Francisco J. Vasconez, Jeremy C. Phillips, S. Daniel Andrade, Mark J. Woodhouse

“…Normalized Root Mean Square Error (NRMSE) values computed over overlapping areas remain below 5% for maximum depth, speed and impact pressure. …”
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An efficient hybrid downscaling framework to estimate high-resolution river hydrodynamics by Z. Tan, D. Xu, S. Taraphdar, J. Ma, G. Bisht, L. R. Leung

“…Our analysis further revealed that the dominant uncertainty sources of the downscaled hydrodynamics are different, with flow velocity dominated by the dimensionality reduction error, which we reduced by using a regionalized training procedure. …”
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Azanza garckeana Extract Alleviates Lead-Induced Testicular Toxicity: A Histological and Oxidative Stress Analysis by Maureen Osemudiamen Oromaiwele, Daniel E. Odiase

“…Lead acetate exposure triggered significant ([Formula: see text] < 0.05) weight reduction, reactive oxidative damage, and structural damage to the testes. …”
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Optimization Research on Magnetic Interference Parameter Identification and Compensation for AUV Platforms by Haodong Wen, Guohua Zhou, Kena Wu, Xinkai Hu, Liezheng Tang, Shuai Xia

“…Numerical simulations demonstrate that, under a 5&#x00B0; attitude error, the L-SHADE algorithm achieves mean decoding accuracies of 86.42%, 81.9%, and 86.15% for the three magnetic field components after training with low-noise data. …”
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The Impact of Sportsmetrics™ Neuromuscular Training on Injury Risk Factors and Athletic Performance: A Systematic Review by E Shakiba, H Mohammadi, M.H Alizadeh

“…The majority of studies reported a significant reduction in injury risk and a significant improvement in athletic performance.Conclusion:In addition to reducing dynamic knee valgus and landing error, and improving the alignment of the lower limbs, Sportsmetrics™ increase power, speed, agility and core stability. …”
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Bayesian Model Averaging for Satellite Precipitation Data Fusion: From Accuracy Estimation to Runoff Simulation by Shaowei Ning, Yang Cheng, Yuliang Zhou, Jie Wang, Yuliang Zhang, Juliang Jin, Bhesh Raj Thapa

“…Evaluation metrics included the correlation coefficient (CC), root mean square error (RMSE), and Kling–Gupta efficiency (KGE). The Variable Infiltration Capacity (VIC) hydrological model was further applied to assess how these datasets affect runoff simulations. …”
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Effects of blood flow restriction on motoneurons synchronization by Mansour Taleshi, Franziska Bubeck, Franziska Bubeck, Leonardo Gizzi, Ivan Vujaklija

“…As expected, during BFR application, participants reported higher level of discomfort and significant deterioration in force-tracking performance, as measured using root mean square error (RMSE). Following the BFR release, the level of discomfort, along with impaired neuromuscular performance were reduced to pre-BFR condition. …”
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