Revolutionizing Clear-Sky Humidity Profile Retrieval with Multi-Angle-Aware Networks for Ground-Based Microwave Radiometers by Yinshan Yang, Zhanqing Li, Jianping Guo, Yuying Wang, Hao Wu, Yi Shang, Ye Wang, Langfeng Zhu, Xing Yan

“…Based on the 7-year (2018–2024) in situ measurements from Beijing, Nanjing, and Shanghai, validation results reveal that AngleNet achieves substantial improvements, with an average R2 of 0.71 and a root mean square error (RMSE) of 10.39%, surpassing conventional models such as LGBM (light gradient boosting machine) and RF (random forest) by over 10% in both metrics, and demonstrating a remarkable 41% increase in R2 and a 10% reduction in RMSE compared to the previous BRNN method (batch normalization and robust neural network). …”
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A Method to Estimate Sea Surface Wind Vectors Using Geostationary Satellites by Zhang Yunkai, Xu Na, Zhai Xiaochun, Zhang Peng

“…This represents a reduction of up to 0.24 m·s-1 compared to the empirical model. …”
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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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Operational cost savings: Blockchain-driven back-office automation and syndicated loan growth in U.S. banks by Maksym Ivasenko, Serhiy Frolov, Mykhaylo Heyenko, Nataliia Kolodnenko, Viktoriia Datsenko

“…Using the Autoregressive Distributed Lag Model (ARDL) bounds testing approach, evidence of cointegration is found and long-run elasticity is estimated: a steady 1% increase in the volume of syndicated loans reduces the operating expense ratio by 0.147%, which means that almost doubling the volume of loans in the resulting sample leads to approximately 15% structural reduction in the burden on banks’ back offices. The associated error correction model gives a short-run elasticity of –0.276 (i.e., a 1% quarterly shock to loan volume reduces expenses by 0.276 p.p.) and a 47% correction rate to a new equilibrium. …”
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Perception and Reality of Robotic Microsurgery: A Cross-sectional Comparative User and Nonuser Survey Study by Maximilian Mayrhofer-Schmid, MD, Martin Aman, MD, PhD, Floris V. Raasveld, MD, Wen-Chih Liu, MD, Felix Struebing, MD, Ulrich Kneser, MD, Kyle R. Eberlin, MD, Leila Harhaus, MD, Arne Hendrik Boecker, MD

“…Results showed that users appreciated tremor reduction and improved anastomotic quality as advantages, which were significantly underestimated by nonusers. …”
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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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FEN-MRMGCN: A Frontend-Enhanced Network Based on Multi-Relational Modeling GCN for Bus Arrival Time Prediction by Ting Qiu, Chan-Tong Lam, Bowie Liu, Benjamin K. Ng, Xiaochen Yuan, Sio Kei Im

“…Experimental results demonstrate that our frontend-enhanced network achieves a reduction in the Mean Absolute Percentage Error (MAPE) by 15.36%, 13.44%, and 19.07% compared to traditional time series forecasting models like CNN, LSTM, and Transformer, respectively. …”
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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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Process-driven strength enhancement and progressive damage analysis of three-dimensional woven composites traction rods by Hao Huang, Zhongde Shan, Yanming Xing, Zitong Guo, Chunguang Yang, Jianhua Liu, Zheng Sun, Xiaohui Ao, Dong Wang, Chenchen Tan, Weihao Wang, Juncheng Luo

“…Experimental validation demonstrated significant performance improvements, including an 18.56% increase in stiffness, a 40.69% enhancement in strength, and a 6.1% reduction in mass. The surrogate model achieved high accuracy across multiple metrics, and the predictive capabilities of the damage model showed a relative error of 13.5% for stiffness and 10.7% for strength. …”
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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 modified electrodes were characterized using cyclic voltammetry and electrochemical impedance spectroscopy, which revealed an increased effective surface area and a significant reduction in charge transfer resistance of the electrode. …”
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Deep Learning for Opportunistic Rain Estimation via Satellite Microwave Links by Giovanni Scognamiglio, Andrea Rucci, Attilio Vaccaro, Elisa Adirosi, Fabiola Sapienza, Filippo Giannetti, Giacomo Bacci, Sabina Angeloni, Luca Baldini, Giacomo Roversi, Alberto Ortolani, Andrea Antonini, Samantha Melani

“…Compared to the state-of-the-art power-law-based models applied to similar datasets reported in the literature, our ML models achieve a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>46</mn><mo>%</mo></mrow></semantics></math></inline-formula> reduction in the root mean squared error (RMSE) for event-based cumulative precipitation predictions.…”
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A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures by Shi Zheng, Lifen Lin, Wufeng Mao, Yanhong Wang, Jinsong Liu, Yili Yuan

“…The hybrid F₃, incorporating Dynamic Time Warping (DTW) for elastic time alignment and feature penalties for engineering-critical metrics, achieved superior performance with a 74% reduction in the prediction error (mean MAE = 1.0 °C) and <2% parameter identification errors, resolving the phase mismatches inherent in F₂ and avoiding F₁’s prohibitive computational costs (498 FEM calls). …”
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Comparative evaluation of accuracy, precision, and radiation dose between mindways and low-dose iCare QCT for lumbar spine BMD using the European spine phantom by Yujie Li, Yujie Li, Tiantian Yin, Tiantian Yin, Qiushi Yang, Heli Han, Zeguo Wang, Wanjiang Yu

“…Accuracy was evaluated using relative measurement error (RME), and precision was assessed via relative standard deviation (RSD). …”
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Research on non-destructive testing method for radial defect of anchor bolt based on longitudinal guided wave by Deying TANG, Weimin TANG, Zhiyi ZENG, Qing TIAN, Ailing LI, Yaling GUO, Erdi A’BI, Tongyu WU, Yibo WU

“…The radial defects of anchor bolt caused by long-term corrosion lead to the reduction of its bearing capacity, which led to a large number of engineering accidents. …”
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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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