Transformer-Based Fast Mole Fraction of CO2 Retrievals from Satellite-Measured Spectra by Wei Chen, Tao Ren, Changying Zhao, Yuan Wen, Yilei Gu, Minqiang Zhou, Pucai Wang

“…Trained exclusively on historical OCO-2 spectra and retrievals from 2017 to 2019, the SpT model demonstrates unbiased generalization to data from 2020 to 2022, achieving high accuracy (root mean square error [RMSE] ∼ 1.5 parts per million [ppm]) in “future” retrievals. …”
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Why Do People Gather? A Study on Factors Affecting Emotion and Participation in Group Chats by Lu Yan, Kenta Ono, Makoto Watanabe, Weijia Wang

“…Positive feedback mechanisms enhance engagement by leveraging the brain’s reward systems, while optimized error messages can minimize frustration. These insights, which are particularly relevant for China’s active group chat culture, provide a framework to improve platform design and contribute valuable findings to the broader HCI field.…”
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Evaluation of acoustic-thermal simulations of in vivo magnetic resonance guided focused ultrasound ablative therapy by Nicholas Richards, Douglas Christensen, Joshua Hillyard, Michelle Kline, Sara Johnson, Henrik Odéen, Allison Payne

“…When muscle acoustic absorption value in the simulations was adjusted to approximately 54% of the measured attenuation, the average root-mean-squared error between simulated and experimental spatial-average temperature profiles was 0.046 ± 0.019 °C/W. …”
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Unsupervised Feature Representation Based on Deep Boltzmann Machine for Seizure Detection by Tengzi Liu, Muhammad Zohaib Hassan Shah, Xucun Yan, Dongping Yang

“…It is clinically time-consuming and error-prone to identify seizure activities by visually scanning EEG signals. …”
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Real-time pest monitoring with RSCDet: Deploying a novel lightweight detection model on embedded systems by Weiyue Xu, Qiong Su, Tianyu Ji, Haonan Sun, Wei Chen, Changying Ji, Tianyi Wang

“…Under resource-constrained conditions, RSCDet achieved over 30 frames per second (FPS), maintained detection accuracy above 90 %, and reduced mean absolute error by up to 56.6 % compared to the YOLO series. …”
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Cross-cultural adaptation and validation of the short version of anterior cruciate ligament return to sport after injury scale to Persian Language by Fereshteh Kazemi pakdel, Ahmad Kazemi pakdel, Mohammad Ali Sarbazi Zarandi, Safoora Sabaghian Rad, Hamed Zarei

“…Clinical trial number Not applicable.…”
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PlantGaussian: Exploring 3D Gaussian splatting for cross-time, cross-scene, and realistic 3D plant visualization and beyond by Peng Shen, Xueyao Jing, Wenzhe Deng, Hanyue Jia, Tingting Wu

“…The mesh results indicate an average relative error of 4% between the calculated values and the true measurements. …”
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Decoding the Spatiotemporal Complexities of the Permafrost Carbon Feedback With Multimodal Ensemble Learning by B. A. Gay, N. J. Pastick, J. D. Watts, A. H. Armstrong, K. R. Miner, C. E. Miller

“…We describe GeoCryoAI, the methodology, our results, and plans for future applications.…”
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EEG Baseline Analysis for Effective Extraction of P300 Event-Related Potentials for Welfare Interfaces by Yuta Sasatake, Kojiro Matsushita

“…However, it was also found that using only one value averaged over the amplitude from 0 to 200 ms did not result in an accurate EEG reference potential, resulting in an error. Finally, this study confirmed that the multi-time-point baseline correction method, through which the amplitude state from 0 to 200 ms before the visual stimulus is comprehensively evaluated, may be the most effective method for P300 determination.…”
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Assessment of seasonal soil moisture forecasts over the Central Mediterranean by L. Silvestri, M. Saraceni, B. Brunone, S. Meniconi, G. Passadore, P. Bongioannini Cerlini

“…In terms of the average magnitude of the forecast error and the anomaly correlation coefficient, the forecasts demonstrate good performance only in certain regions of the domain for the deepest soil layer: Hungary, peninsular Italy, internal areas of the Balkan Peninsula, Provence, Sardinia, and Sicily. …”
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Wideband Reflectarray Antennas in the Microwave Range by L. М. Liubina, S. V. Ballandovich, G. A. Kostikov, Yu. G. Antonov

“…Measurements were carried out on printed, all-metal, and conformal reflectarrays using an Antast B3-1 near-field scanner and an Agilent N5230A PNA-L vector circuit analyzer. The phase error minimization algorithms were adapted to work in the extended frequency range.Results. …”
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IonoBench: Evaluating Spatiotemporal Models for Ionospheric Forecasting Under Solar-Balanced and Storm-Aware Conditions by Mert Can Turkmen, Yee Hui Lee, Eng Leong Tan

“…Accurate modeling of ionospheric variability is critical for space weather forecasting and GNSS applications. While machine learning approaches have shown promise, progress is hindered by the absence of standardized benchmarking practices and narrow test periods. …”
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Chromolaena odorata and male fertility: evidence from the testes and epididymis of Wistar rats by Eguono Raphael Uwejigho, Felix O Enemali, Victor Oghenekparobo Emojevwe, Jesuyomike Marvellous Oluremi, Israel Olorunsola Adeyomoye

“…Despite its therapeutic applications, there are concerns regarding its potential toxic effects. …”
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A Hierarchical-Based Learning Approach for Multi-Action Intent Recognition by David Hollinger, Ryan S. Pollard, Mark C. Schall, Howard Chen, Michael Zabala

“…Compared with a hierarchical-based approach, the action-generic model had lower prediction error for backward walking, kneeling down, and kneeling up. …”
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Prediction of the Ecological Behavior of <i>Burkholderia gladiolus</i> in Fresh Wet Rice Noodles at Different Temperatures and Its Correlation with Quality Changes by Mengmeng Li, Ke Xiong, Wen Jin, Yumeng Hu

“…Among these, the Huang–Huang model combination exhibited the best performance, with a root mean square error (RMSE) of 0.009 and bias factor (<i>B_f</i>) and accuracy factor (<i>A_f</i>) values close to 1. …”
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Enhance health evidence quality in classification tasks: A triangulation approach utilizing case-based reasoning and process features by Ruihua Guo, Ross Smith, Qifan Chen, Angus Ritchie, Simon Poon

“…Conclusion The integrated approach demonstrates its ability to enhance quality of a classification task through its clinical relevance, improved model performance, and reduced case-level error rates. However, more scalable QCA methods are needed for larger datasets. …”
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Turkish validity and reliability study of the simulation self-report cognitive load measurement tool 2.0 by Hilal Yıldız Çelik, Esra Uğur

“…Clinical trial number Not applicable.…”
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Predicting mortality risk in Alzheimer’s disease using machine learning based on lifestyle and physical activity by Ruihong Tang, Liang Tan, Xia Chen, Zhengwu Shan, Zhao Zhang, Panpan Cheng

“…Model performance was evaluated using the integrated area under the curve (iAUC), integrated Brier score/prediction error (iBS/PE), and concordance index (C-index). …”
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Enhancing Soil Moisture Estimates Through the Fusion of SMAP and GNSS-R Data at 3-Km Resolution for Daily Mapping by Paulo T. Setti, Sajad Tabibi

“…Our findings indicate a median unbiased root-mean-square error (ubRMSE) of 0.049 cm³cm^&#x2212;3 for the 3-km product and 0.054 cm³cm^&#x2212;3 for the 9-km product, both of which are comparable to SMAP's ubRMSE of 0.054 cm³cm^&#x2212;3. …”
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Reconfigurable Intelligent Surface Enabled Spatial Modulation for Visible Light Communications by Pengfei Shen, Lu Lu

“…Furthermore, we find that the bit error rates (BER) performance of RIS-SM and RIS-GSM are highly affected by channel correlation. …”
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