Free Iron Determination in Soil by Flame Atomic Absorption Spectrometry by Sui’an ZHANG, Zhongrui YANG, Yuyu DUAN, Kaiqi YANG, Zhijie HU, Chun YANG, Sha HOU

“…The experimental process for free iron is long, requiring the reduction of high valent iron to low valent iron. In addition, it requires a color development time of up to 24h, which is time-consuming and cannot meet the needs of large-scale sample testing. …”
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A pilot study for assessing NAO humanoid robot assistance in shoulder rehabilitation by Alessandra Raso, Martina Pulcinelli, Emiliano Schena, Alfio Puglisi, Giovanni Pioggia, Arianna Carnevale, Umile Giuseppe Longo

“…Performance was evaluated by mean absolute error (MAE) for ROM and execution time, with smoothness assessed through Log Dimensionless Jerk analysis. …”
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Is there a competitive advantage to using multivariate statistical or machine learning methods over the Bross formula in the hdPS framework for bias and variance estimation? by Mohammad Ehsanul Karim, Yang Lei

“…Tailoring the choice of method to the epidemiological scenario is essential for optimizing the balance between bias reduction and precision.…”
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Enhanced power sharing and voltage regulation for islanded nano-satellite DC microgrids in spinning flight scenarios by Khalil Louassaa, Josep M. Guerrero, Baseem Khan, Muhammad Zain Yousaf, Mohamed Ali Zdiri, Liu Zhang, Rajkumar Sivanraju

“…Comprehensive validation through stability analysis, simulations, and experimental testing demonstrates superior performance versus conventional methods, with significant improvements in transient response speed, steady-state error reduction, and disturbance rejection capability. …”
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Photospectral Data Obtaining with the Unmanned Aerial Spectrometry Vehicle by A. A. Lamaka, A. V. Gutarau, N. G. Shcherbakou, P. V. Ivuts

“…This led to the timing error standard deviation reduction from 142 ms to 15 ms. …”
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How Does Assimilating SMAP Soil Moisture Improve Characterization of the Terrestrial Water Cycle in an Integrated Land Surface‐Subsurface Model? by Haojin Zhao, Carsten Montzka, Johannes Keller, Fang Li, Harry Vereecken, Harrie‐Jan Hendricks Franssen

“…ET characterization shows a limited improvement with a highest ubRMSE reduction of 15% at the Rollesbroich1 site with the CLM‐ParFlow model. …”
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Steering-Angle Prediction and Controller Design Based on Improved YOLOv5 for Steering-by-Wire System by Cunliang Ye, Yunlong Wang, Yongfu Wang, Yan Liu

“…The YOLOv5Ms model achieves a 30.34% reduction in weight storage space while simultaneously improving accuracy by 7.38% compared to the YOLOv5s model. …”
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Machine-Learning-Driven Approaches for Assessment, Delegation, and Optimization of Multi-Floor Building by Abtin Baghdadi, Harald Kloft

“…The significance of this research lies in its ability to automate and accelerate complex structural analysis using Adaptive Neuro-Fuzzy Inference Systems (ANFISs), achieving an average error of less than 2% in multi-variable prediction scenarios. …”
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A preliminary attempt to harmonize using physics-constrained deep neural networks for multisite and multiscanner MRI datasets (PhyCHarm) by Gawon Lee, Dong Hye Ye, Se-Hong Oh

“…PhyCHarm showed a greater reduction in volume differences after harmonization for gray and white matter than U-Net, Pix2Pix, CALAMITI, or HarmonizingFlows. …”
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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

“…Additionally, a significant reduction in computational time was achieved without sacrificing the accuracy of the drag and lift coefficient predictions.…”
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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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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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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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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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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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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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Effects of blood flow restriction on motoneurons synchronization by Mansour Taleshi, Franziska Bubeck, Franziska Bubeck, Leonardo Gizzi, Ivan Vujaklija

“…The mean z-score coherence in the alpha band showed a reduction of 27% for isometric-trapezoidal and 31% for isometric-sinusoidal conditions from pre-BFR to BFR, followed by a rebound post-BFR intervention with increases of 13% and 20%, respectively. …”
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