CFD model simulation and experimental testing of a household husky biomass cook stove by Adem Tibesso Kole, Venkata Ramayya Ancha

“…The average specific fuel consumption of the improved biomass cook stoves described in the literature was 115 g/liter, compared to 98 g/liter for the husky biomass stove in this stud leading to a 14.78% reduction in specific fuel consumption. The relative error between the CFD simulation and experimental results at 3.33 % indicates a close agreement between the two, thus validating the simulation results.…”
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PAPR Performance Evaluation of OFDM, RPDM, and ORPDM Multicarrier Modulation Schemes by Shaik Basheeruddin Shah, Nazar T. Ali, Goli Srikanth, Ahmed Altunaiji, Dragan I. Olcan

“…In addition to PAPR, we evaluate and compare spectral efficiency, Out-of-Band (OOB) emissions, and Bit Error Rate (BER) performance across the three MCM schemes.…”
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Design and Experiment of DEM-Based Layered Cutting–Throwing Perimeter Drainage Ditcher for Rapeseed Fields by Xiaohu Jiang, Zijian Kang, Mingliang Wu, Zhihao Zhao, Zhuo Peng, Yiti Ouyang, Haifeng Luo, Wei Quan

“…Field tests under typical 18.7% soil moisture conditions confirmed a <10% error between simulated and actual power consumption (28.73 kW), with a 17.3 ± 0.5% reduction versus controls. …”
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Designing an explainable bio-inspired model for suspended sediment load estimation: eXtreme Gradient Boosting coupled with Marine Predators Algorithm by Roozbeh Moazenzadeh, Okan Mert Katipoğlu, Ahmadreza Shateri, Hamid Nasiri, Mohammed Abdallah

“…According to the results, the simultaneous application of Q and SC lag time values as inputs has led to the best SL estimates by XGB-MPA, with XGB-MPA9 (RMSE = 103.7 ton/day; NSE = 0.96) exhibiting the lowest error rates. In addition, XGB-MPA has performed better than XGB in all scenarios, with the lowest and highest reduction in RMSE being 19.3% (scenario 5) and 97.4% (scenario 1), respectively. …”
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X-Ray Photoelectron Spectroscopy (XPS) Study of Layered Double Hydroxides with Different Exchangeable Anions by J. Theo Kloprogge

“…Overall, the influence of the nature of the interlayer anion on the binding energy of the elements (Mg, Al, O) in the layered double hydroxide structure is minimal and considered to be within the experimental error of XPS. A detailed analysis of XPS data in combination with infrared and Raman spectroscopy shows how XPS can provide additional information that is not readily available via vibrational spectroscopy. …”
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Seismic site characterization and development of SPT(N) to shear wave velocity correlation of Noida city by Pankaj Kundu, Devagya Raman, Anindya Pain, Josodhir Das, Ravi Sundaram, Sorabh Gupta

“…Also, the proposed correlation is validated by several graphical approaches to demonstrate its error range. The developed correlation is further used to estimate the shear wave velocity ( $$V_{S}$$ ) profile for all the 117 boreholes. …”
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Pulmonary regional blood flow: validation of low-dose two-volume dynamic CT perfusion imaging in a swine model by Yixiao Zhao, Nile Luu, Logan Hubbard, Shant Malkasian, Sabee Molloi

“…Results Two-volume global perfusion measurements (P 2V) were related to reference multivolume (P MV) measurements by P 2V = 0.96 × P MV + 0.45 (r = 0.92), with a root-mean-square error of 1.29 mL/min/g and a root-mean-square deviation of 1.29 mL/min/g. …”
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Multi-Source Data Fusion-Based Grid-Level Load Forecasting by Hai Ye, Xiaobi Teng, Bingbing Song, Kaiming Zou, Moyan Zhu, Guangyu He

“…Performance gains are particularly significant during critical peak periods, with up to 62.6% error reduction under high-temperature conditions. …”
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Application of novel oligomeric Co(II) complexes of 4,4′-bipyridine and 1,10-phenanthroline modified glassy carbon electrode for differential pulse voltammetric determination of ci... by Mezgebu Biresaw, Adane Kassa, Getinet Tamiru Tigineh, Atakilt Abebe

“…The recovery results for tablet and urine samples ranged from 99.44 % to 99.95 % and 99.25 % to 100.51 %, respectively, with interference recovery showing an error of less than 4.73 %. When it came to determining CPF in tablet formulations and human urine samples, the new approach outperformed recently published voltammetric methods. …”
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Super-resolution reconstruction of the 1 arc-second Australian coastal DEM dataset by Bo Zhang, Zekai Shi, Danfeng Hong, Qi Wang, Jian Yang, Haoyuan Ren, Meng Zhang

“…Through experiments using bathymetric (ocean) data around Australia, the proposed method demonstrated superior performance compared to naive bicubic interpolation, achieving a 11.64% reduction in root mean square error (RMSE) and a 1.93% increase in peak signal-to-noise ratio (PSNR) averages. …”
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The possibilities of the non-contrast MRI perfusion in the quantitative assessment of changes in cerebral blood flow by V. V. Popov, Yu. A. Stankevich, O. B. Bogomyakova, A. A. Tulupov

“…The control group included 20 conditionally healthy volunteers aged from 18 to 25 years (21.8 ± 2.65 years) (mean ± standard error of the mean), the study group ‒ 20 patients with verified ischemic stroke aged from 40 to 70 years (59.4 ± 9.2 years) on days 1–3, 7–10, and three months after disease onset. …”
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Path Planning and Motion Control of Robot Dog Through Rough Terrain Based on Vision Navigation by Tianxiang Chen, Yipeng Huangfu, Sutthiphong Srigrarom, Boo Cheong Khoo

“…The experimental results show that the RGB-D system exhibits superior velocity stability and trajectory accuracy to the SLAM system, with a 20% reduction in the cumulative velocity error and a 10% improvement in path tracking precision. …”
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Rainfall-runoff modeling of urban floods using GIS and HEC-HMS by Priyanka Sharad Jawale, A.D. Thube

“…NASH improved 44.23 % to a value of 0.624 displaying a competitive model. The Root Mean Square Error (RMSE) reduction of 51.90 % corroborated the effectiveness of the calibration made. …”
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The Feasibility of a Music Therapy Respiratory Telehealth Protocol on Long COVID Respiratory Symptoms by Jingwen Zhang, Joanne V. Loewy, Lisa Spielman, Zijian Chen, Jonathan M. Raskin

“…While this approach may increase the risk of Type I error, the findings are intended to inform hypotheses for future confirmatory studies rather than to draw definitive conclusions.…”
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External validation of the relative fat mass (RFM) index in adults from north-west Mexico using different reference methods. by Alan E Guzmán-León, Ana G Velarde, Milca Vidal-Salas, Lucía G Urquijo-Ruiz, Luz A Caraveo-Gutiérrez, Mauro E Valencia

“…For the rest of the methods, precision in the prediction of FM% was improved compared to BMI, with significant increases in the R2 and reduction of the root mean squared error (RMSE). However, the intercepts of each regression did not show accuracy since they were different from zero, for ADP: -9.95 (95%CI: -15.7 to -4.14), for BIA: -12.6 (95%CI: -17.5 to -7.74) and for the 4C model: -13.6 (95%CI: -18.6 to -8.60). …”
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Evidence Based Gait Analysis Interpretation Tools (EB-GAIT) treatment recommendation and outcome prediction models to support decision-making based on clinical gait analysis data. by Michael H Schwartz, Andrew G Georgiadis

“…These models were found to be unbiased, with reliable prediction intervals and accuracy comparable to experimental measurement error. We illustrated the application of EB-GAIT through a case study, showcasing its utility in providing treatment recommendations and outcome predictions. …”
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Enhancing microgrid forecasting accuracy with a TCNN-TLS framework: A novel approach to mitigating uncertainty in renewable energy and load predictions by Md. Omer Faruque, Md. Majharul Islam, Md Jakaria Talukder, Arif Mia, Shahriar Tasnim, Md. Alamgir Hossain, S.M. Muyeen

“…The results demonstrate significant improvements after error adjustment, particularly in wind power and load forecasting, with notable reductions of 16.2% and 6.0% in RMSE and 17.4% and 5.7% in MAE, respectively. …”
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Multiplexed expansion revealing for imaging multiprotein nanostructures in healthy and diseased brain by Jinyoung Kang, Margaret E. Schroeder, Youngmi Lee, Chaitanya Kapoor, Eunah Yu, Tyler B. Tarr, Kat Titterton, Menglong Zeng, Demian Park, Emily Niederst, Donglai Wei, Guoping Feng, Edward S. Boyden

“…Across all datasets examined, multiExR exhibits a median round-to-round registration error of 39 nm, with a median registration error of 25 nm when the most stringent form of the protocol is used. …”
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An Optimization Method for Indoor Pseudolites Anchor Layout Based on MG-MOPSO by Xiaohu Liang, Shuguo Pan, Shitong Du, Baoguo Yu, Shuang Li

“…Additionally, significant reductions are observed in average positioning error, maximum positioning error, and standard deviation across multiple test points. …”
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Precision‐Optimised Post‐Stroke Prognoses by Thomas M. H. Hope, Howard Bowman, Rachel M. Bruce, Alex P. Leff, Cathy J. Price

“…Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known. …”
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