Joint Translation Method for English–Chinese Place Names Based on Prompt Learning and Knowledge Graph Enhancement by Hanyou Liu, Xi Mao

“…However, pipeline-based methods for translating place names splits the place name translation task into multiple sub-tasks, carries the risk of error propagation, resulting in lower efficiency and poorer accuracy. …”
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Stress-induced premature senescence in high five cell cultures: a principal factor in cell-density effects by Rui Min, Dahe Zhang, Mingzhe He, Jingyuan Chen, Xiaoping Yi, Yingping Zhuang

“…Abstract The Baculovirus Expression Vector System (BEVS) is highly valued in vaccine development, protein engineering, and drug metabolism research due to its biosafety, operational convenience, rapid scalability, and capacity for self-assembling virus-like particles. …”
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All-Weather Retrieval of Total Column Water Vapor From Aura OMI Visible Observations by Jiafei Xu, Zhizhao Liu

“…In terms of root-mean-square error, it is overall reduced by 90.44% from 56.38 to 5.39 mm and 90.19% from 53.23 to 5.22 mm compared with GNSS and radiosonde TCWV, respectively. …”
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Design, development, and evaluation of a low-cost smart solar-powered weather station for use in agricultural environments by Hamed Mokhtarzadeh, Shiva Gorjian, Saeid Minaei

“…Performance evaluation against Chitgar and Mehrabad meteorological stations showed strong correlations for temperature (R² > 0.99, 0.94), humidity (R² > 0.98, 0.88), and rainfall (R² > 0.99), with Mean Absolute Error (MAE) of 0.21 °C, 1.6 %, and 0.3 m/s for temperature, humidity, and wind speed, respectively. …”
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Numerical investigation of seabed changes of caisson breakwater suspended on piles by Rana N. Zedan, I. M. H. Rashwan, A. S. Koraim, H. Omara

“…Scouring at coastal structures is a serious issue that threatens structures. Previous research, focused on scour around vertical breakwaters, has shown that scour is mainly brought on by standing waves in front of structures. …”
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Back Propagation Neural Network model for analysis of hyperspectral images to predict apple firmness by Shuiping Li, Yueyue Chen, Xiaobo Zhang, Junbo Wang, Xuanxiang Gao, Yunhong Jiang, Zhaojun Ban, Cunkun Chen

“…The coefficient of determination (R2) and root mean square error (RMSE) of Partial Least Squares (PLS) models are contrasted using various inputs. …”
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Evaluating spectral cloud effective radius retrievals from the Enhanced MODIS Airborne Simulator (eMAS) during ORACLES by K. Meyer, S. Platnick, G. T. Arnold, G. T. Arnold, N. Amarasinghe, N. Amarasinghe, D. Miller, D. Miller, J. Small-Griswold, M. Witte, B. Cairns, S. Gupta, G. McFarquhar, J. O'Brien

“…Such retrievals, however, rely on forward radiative transfer (RT) calculations using simplified assumptions that can lead to retrieval errors when the real atmosphere deviates from the forward model. …”
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SageNet: Fast Neural Network Emulation of the Stiff-amplified Gravitational Waves from Inflation by Fan Zhang, Yifang Luo, Bohua Li, Ruihan Cao, Wenjin Peng, Joel Meyers, Paul R. Shapiro

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Automated Caries Detection Under Dental Restorations and Braces Using Deep Learning by Yi-Cheng Mao, Yuan-Jin Lin, Jen-Peng Hu, Zi-Yu Liu, Shih-Lun Chen, Chiung-An Chen, Tsung-Yi Chen, Kuo-Chen Li, Liang-Hung Wang, Wei-Chen Tu, Patricia Angela R. Abu

“…Traditionally, dentists rely on visual examinations to diagnose caries under restoration and dental braces, which can be prone to errors and are time-consuming. This study proposes an innovative deep learning and image processing-based approach for automated caries detection under restoration and dental braces, aiming to reduce the clinical burden on dental practitioners. …”
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Magnetic Resonance Imaging Brain Segmentation Using Bi-Directional Convolutional Long Short-Term Memory U-Net With Densely Connected Convolutions by Meshari D. Alanazi, Amna Maraoui, Imen Werda, Ahmed Ben Atitallah, Turki M. Alanazi, Mohammed Albekairi, Anis Sahbani, Amr Yousef

“…Despite advancements in imaging technologies, traditional diagnostic methods relying on manual interpretation by clinicians remain prone to errors. This underscores the need for robust automated segmentation techniques. …”
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3D behavior phenotyping and multi-object tracking system of mice based on deep learning by Lei He, Xuezhen Jia, Chen Li, Yan Liu, Jicheng Yu, Zhen-Xia Chen, Wanneng Yang, Xiuying Liang

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Global Mean and Relative Sea-Level Changes Over the Past 66 Myr: Implications for Early Eocene Ice Sheets by K. G. Miller, W. J. Schmelz, J. V. Browning, Y. Rosenthal, A. V. Hess, R. E. Kopp, J. D. Wright

“…Bayesian analysis with Gaussian process priors shows that our BSL estimate shares a component that covaries on the Myr scale with “backstripped” relative sea-level (RSL) estimates (accounting for compaction, loading, and thermal subsidence) from the US Mid-Atlantic Coastal Plain, validating our method and estimates with errors of ±10 m. Peak warmth, elevated GMGSL and BSL, high CO2, and ice-free conditions occurred at times in the Paleocene to Eocene (ca. 64, 57.5, 35 Ma) and in much of the Early Eocene (55–48 Ma). …”
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Low Genetic Diversity Study on Leopard Coral Grouper Plectropomus leopardus (Perciformes: Serranidae) from Sulawesi, Indonesia by Andi Aliah Hidayani, Asmi Citra Malina A. R. Tasakka, Widyastuti Umar, Md. Jobaidul Alam, Amit Kumer Neogi, Sapto Andriyono

“…The application of molecular identification has been widely applied in marine aquatic animal species, which are very likely to occur due to errors in terms of shape and colour in the morphological character. …”
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“I know I shouldn't but …” the inevitable tension of using workarounds to be a “good nurse” by Deborah Debono, David Greenfield, Wendy Lipworth, David J. Carter, Deborah Black, Reece Hinchcliff, Reece Hinchcliff, Jane Ellen Carland, Jane Ellen Carland, Jeffrey Braithwaite

“…One example is the implementation of Electronic Medication Management Systems (EMMS) to minimise medication errors. However, in hospitals where nurses primarily administer medications, research shows that nurses often adopt “workarounds” to overcome barriers in medication administration. …”
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Habit-learning and decision-making circuits are susceptible to glycemic variability in type 2 diabetes: a longitudinal study by Carolina Moreno, Carolina Moreno, Carolina Moreno, Otília C. d’Almeida, Otília C. d’Almeida, Joana Crisóstomo, Nádia Canário, Leonor Gomes, Leonor Gomes, Leonor Gomes, Miguel Castelo-Branco, Miguel Castelo-Branco

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Diverse BCR usage and T cell activation induced by different COVID-19 sequential vaccinations by Junxiang Wang, Kaiyi Li, Yuan Wang, Zhengfang Lin, Weidong Li, Jinpeng Cao, Xinyue Mei, Rui Wei, Jinglu Yang, Xiaobing Zhai, Deyi Huang, Kaiwen Zhou, Xinyue Liang, Zhongfang Wang

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Kohler-Polarization Sensor for Glint Removal in Water-Leaving Radiance Measurement by Shuangkui Liu, Yuchen Lin, Ye Jiang, Yuan Cao, Jun Zhou, Hang Dong, Xu Liu, Zhe Wang, Xin Ye

“…The system incorporates three Kohler illumination lenses with exceptional surface uniformity exceeding 98.2%, effectively eliminating measurement errors caused by water surface brightness inhomogeneity. …”
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CHANGES IN REGIONAL PRECIPITATION DISTRIBUTION IN RESPONSE TO GLOBAL WARMING by A. A. Tashilova

“…Linear trends characterizing the trend of the value under consideration for the entire observation period from 1961 to 2018 were constructed using the built-in Excel LINEST worksheet function, which returns the values of the slope coefficients, the errors in their calculation, the coefficient of determination of the model R2 (D, %), F- Fisher's test to determine the significance of the coefficient of determination R2. …”
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Development and Validation of a Population Pharmacokinetics Model of Perampanel for Pediatric Epilepsy Patients for Optimized Dosing by Yu L, Mao F, Chen S, Liu J, Xiao J, Chen M, Luo H, Yu Z, Dai H

“…The relative standard errors (RSEs) for each fixed effect parameter were 15.2%, 14.2%, 12.0%, 7.92%, and 16.3%, respectively. …”
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Investigation of the state of the electric field of the atmosphere in the area of open pit mining by R. Kh. Zekoreev

“…A technique was used for conducting atmospheric-electrical measurements, which excludes errors introduced by various factors, such as the method of placing the measuring equipment, the heterogeneity of the terrain, the weather conditions of the observation point, which was located in the layer of air mass exchange and turbulent diffusion.Results of the study and their discussion. …”
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