Genetic evidence for single-strand lesions initiating Nbs1-dependent homologous recombination in diversification of Ig v in chicken B lymphocytes. by Makoto Nakahara, Eiichiro Sonoda, Kuniharu Nojima, Julian E Sale, Katsuya Takenaka, Koji Kikuchi, Yoshihito Taniguchi, Kyoko Nakamura, Yoshiki Sumitomo, Ronan T Bree, Noel F Lowndes, Shunichi Takeda

“…These gaps can be filled by error-prone DNA polymerases, resulting in hypermutation. …”
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Classification evaluation and improvement of airborne PolSAR images for land use mapping using deep learning by Jiafeng Wang, Yongjiu Feng, Xiaohua Tong, Zhenkun Lei, Mengrong Xi, Yi Zhou, Panli Tang

“…On the other hand, noise, polarization error and motion error had a negative impact on the classification performance. …”
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A physical state prediction method based on reduce order model and deep learning applied in virtual reality by Pengbo Yu, Qiyu Liu, Qiyu Liu, Qiyu Liu, Qiyu Liu, Siyun Yi, Ming Zhu, Yangheng Hu, Gexiang Zhang, Gexiang Zhang

“…The experimental results of predicting time-series numerical simulation data demonstrate that the method balances computational efficiency and achieves good prediction accuracy, with Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) values increased to 0.0087 and 0.0063, respectively. …”
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Assessing the Application Effects and Operating Conditions on Three Different Insulation Capacity Walls Using Internal Quantitative Infrared Thermography in China by Huanyu Li, Guohui Feng, Yi Pu, Han Wang

“…For uninsulated buildings, a temperature difference of 10 °C between indoor and outdoor environments is sufficient to meet testing requirements, with a testing error of only 2.28%. For conventionally insulated buildings, a temperature difference greater than 20 °C reduces the relative error to below 10%. …”
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Application of Special Calculation Techniques in the Design of All-Welded Gastight Structures of Boiler Units by M. P. Kurepin, M. Yu. Serbinovskiy

“…For specially reinforced membrane walls with steps exceeding the permissible values, the error reduction reached 70% or higher.Discussion and Conclusion. …”
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STL-DCSInformer-ETS: A Hybrid Model for Medium- and Long-Term Sales Forecasting of Fast-Moving Consumer Goods by Yecheng Ma, Lili He, Junhong Zheng

“…Through numerical experiments, the method demonstrates excellent performance by achieving a 35.9% reduction in Mean Squared Error and a 21.4% decrease in Mean Absolute Percentage Error, significantly outperforming traditional methods. …”
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An Improved Galerkin Framework for Solving Unsteady High-Reynolds Navier–Stokes Equations by Jinlin Tang, Qiang Ma

“…To enhance computational efficiency, a novel a posteriori error estimator is developed based on dual residuals. …”
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Data driven tensile strength prediction for fiber-reinforced rubberized recycled aggregate concrete using machine learning by Avijit Pal, Khondaker Sakil Ahmed, Nur Yazdani

“…The findings showed that K-Nearest Neighbors performed best in predicting FR3C tensile strength, achieving the lowest mean absolute error MAE (0.001) and root mean squared error (RMSE 0.001) and highest coefficient of determination (R2 = 0.999) in test scores. …”
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A Polar Coding Scheme With Selected Index Modulation by Si-Yu Zhang, Jia-Qi Zhang, Xin-Wei Yue, Chao-Wei Wang

“…Simulation results indicate that in Orthogonal Frequency Division Multiplexing (OFDM) systems, compared to conventional polar codes and existing IM-aided polar coding schemes, the proposed PC-SIM scheme significantly improves error performance, coding rate, and PAPR reduction. …”
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Sustainable soil organic carbon prediction using machine learning and the ninja optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Marwa M. Eid, Marwa M. Eid, El-Sayed M. El-kenawy, El-Sayed M. El-kenawy

“…After full NiOA-based hyperparameter tuning, the MSE improved further to 7.52×10−7, corresponding to a 99.98% reduction in prediction error. Thus, the proposed NiOA-enhanced framework demonstrates considerable potential in advancing SOC modeling. …”
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An Efficient SM9 Aggregate Signature Scheme for IoV Based on FPGA by Bolin Zhang, Bin Li, Jiaxin Zhang, Yuanxin Wei, Yunfei Yan, Heru Han, Qinglei Zhou

“…Therefore, the proposed scheme demonstrates significant advantages in both error-free and fault-tolerant scenarios.…”
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Different Statistical Modeling to Predict Compressive Strength of High-Strength Concrete Modified with Palm Oil Fuel Ash by Soran Abdrahman Ahmad, Bilal Kamal Mohammed, Serwan Khwrshid Rafiq, Brwa Hama Saeed Hamah Ali, Kawa Omer Fqi

“…The performance of each proposed model was gauged using diverse statistical metrics like the coefficient of determination, mean absolute error, root mean square error, and scatter index to identify the most effective model. …”
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Parametrization of a 0D solid oxide cell performance model—a detailed investigation including temperature dependencies of kinetic parameters by Marius Mueller, Markus Klinsmann, Ulrich Sauter, Jean-Claude Njodzefon, André Weber

“…Accounting for temperature-dependent parameters reduces the maximum cell voltage error between simulation and measurement. This reduction was from −5.4% to −5.1% in the electrolysis mode and from −9.7% to −7.9% in the fuel cell mode when the parametrization temperature matched the operating temperature (compared to a 100 K offset). …”
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Application of intelligence models based on soft computing in investigating the discharge coefficient of the sluice gate under free-flow condition and symmetrical sill with the hel... by H.R. Abbaszadeh, Y. Hassanzadeh, R. Daneshfaraz, R. Norouzi

“…The use of sills with the gates leads to a reduction in the height of the gate. The sills affect the flow and change quantities, especially the discharge coefficient. …”
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Low-overhead defect-adaptive surface code with bandage-like super-stabilizers by Zuolin Wei, Tan He, Yangsen Ye, Dachao Wu, Yiming Zhang, Youwei Zhao, Weiping Lin, He-Liang Huang, Xiaobo Zhu, Jian-Wei Pan

“…Abstract To make practical quantum algorithms work, large-scale quantum processors protected by error-correcting codes are required to resist noise and ensure reliable computational outcomes. …”
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Large-Space Laser Tracking Attitude Combination Measurement Using Backpropagation Algorithm Based on Neighborhood Search by Ziyue Zhao, Zhi Xiong, Zhengnan Guo, Hao Zhang, Xiangyu Li, Zhongsheng Zhai, Weihu Zhou

“…The experimental results show that with the neighborhood-based backpropagation algorithm, the measurement results have a higher data update rate and a certain inhibition effect on the error accumulation of IMU. The absolute value of the system angle error can be less than 0.4° within 8 m and 0–50°, with an angle update rate of 100 Hz. …”
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Anthropometric Landmark Detection Network via Geodesic Heatmap on 3D Human Scan by Min Hee Cha, Jae Hyeon Park, Ji Sun Byun, Sangyeon Ahn, Gyoomin Lee, Seung Hyun Yoon, Sung In Cho

“…As a result, our method provides the lowest average detection error on the SHREC’14 dataset over the six anthropometric landmarks, demonstrating a maximum error reduction of 76.14%. …”
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Suppression and control of unbalanced and misalignment coupler vibration of a double-rotor permanent magnet drive by Yongcun GUO, Xin MA, Shuang WANG, Deyong LI, Tun YANG

“…In order to effectively suppress vibration, an adaptive factor σ based on the error value and a regularized weight attenuation factor λ are innovatively introduced to quickly respond to system changes and reduce the error. …”
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Application of quasi-oppositional driving training-based optimization for a feasible optimal power flow solution of renewable power systems with a unified power flow controller by Tushnik Sarkar, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Ghanshyam G. Tejani, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…Obtaining minimum total cost comes under the single-objective function. Simultaneous reduction in the overall cost and emission, concurrent reduction in overall cost and voltage deviation (VD), and simultaneous reduction in overall cost and voltage stability index come under multi-objective cases. …”
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Assessment and Prediction of Typhoon-Related Direct Economic Loss in Fujian Province Based on LightGBM by Zhang Zhixia, Yang Jian, Chen Sixiao, Lin Sen

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