Enhanced power sharing and voltage regulation for islanded nano-satellite DC microgrids in spinning flight scenarios by Khalil Louassaa, Josep M. Guerrero, Baseem Khan, Muhammad Zain Yousaf, Mohamed Ali Zdiri, Liu Zhang, Rajkumar Sivanraju

“…Comprehensive validation through stability analysis, simulations, and experimental testing demonstrates superior performance versus conventional methods, with significant improvements in transient response speed, steady-state error reduction, and disturbance rejection capability. …”
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DGL-STFA: Predicting lithium-ion battery health with dynamic graph learning and spatial–temporal fusion attention by Zheng Chen, Quan Qian

“…These results highlight the capability of DGL-STFA to accurately predict SOH, addressing critical challenges in advancing battery health monitoring for energy storage applications.…”
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Development of lesion and organ negative cast modelling technique for quality assurance and optimization of nuclear medicine images by Roberto Fedrigo, Robin J. N. Coope, Guillaume Chaussé, Ingrid Bloise, Claire Gowdy, François Bénard, Arman Rahmim, Carlos F. Uribe

“…Results Mean absolute error (MAE) for tumour volume between the original template and casted models is 13.8%, indicating that the method is reasonably accurate. …”
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A hyperspectral approach for retrieving inherent optical properties, phytoplankton pigments, and associated uncertainties from non-water absorption by Brice Grunert, Audrey Ciochetto, Audrey Ciochetto, Colleen Mouw

“…Relationships between phytoplankton pigment concentrations and modeled Gaussian peak height showed errors of 5%–14%, indicating strong potential for DAISEA to estimate pigment concentrations in future applications. …”
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Low Complexity Unquantized Forward Stack Decoding Algorithm for Spinal Codes in Measurement While Drilling Communication by Xiaoyang Yu, Lei Liang, Ke Jiang, Tianwei Chen

“…In simulated MWD environment, the proposed system achieved an average bit error rate (BER) of <inline-formula> <tex-math notation="LaTeX">$5.58\times 10^{-5}$ </tex-math></inline-formula>, with BER consistently below 0.1% across all intervals. …”
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A preliminary attempt to harmonize using physics-constrained deep neural networks for multisite and multiscanner MRI datasets (PhyCHarm) by Gawon Lee, Dong Hye Ye, Se-Hong Oh

“…As an initial step toward developing advanced harmonization techniques, we investigated the applicability of physics-based constraints within a supervised training strategy. …”
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Development of a deep learning method to identify acute ischaemic stroke lesions on brain CT by Emanuele Trucco, Joanna M Wardlaw, Wenwen Li, Grant Mair, Amos Storkey, Alessandro Fontanella, Antreas Antoniou, Eleanor Platt, Paul Armitage

“…Ultimately, this should lead to more robust and widely applicable methods.…”
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Near-infrared spectroscopy analysis to predict urinary allantoin in dairy cows by Leonardo A.C. Ribeiro, Guilherme L. Menezes, Tiago Bresolin, Sebastian I. Arriola Apelo, Joao R.R. Dórea

“…The partial least squares regression model achieved an R2 of 0.55, a concordance correlation coefficient of 0.73, and a root mean squared error of prediction (RMSEP) of 3.63 mmol/L to predict allantoin concentration from the spectra data set without preprocessing. …”
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Predicting carbohydrate quality in a global database of packaged foods by Eric Antoine Scuccimarra, Alexandre Arnaud, Marie Tassy, Marie Tassy, Kim-Anne Lê, Fabio Mainardi

“…The overall mean absolute error on the test set was 0.96 g/100 g of product. …”
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Vertical Stratification Increases the Capacity of Morphological Traits to Predict Trophic Position in Neotropical Ants by Jésica Vieira, Karen C. Neves, Lino A. Zuanon, Heloise Gibb, Alan N. Andersen, Heraldo L. Vasconcelos

“…We believe that our approach to assessing the predictive capacity of morphological traits, through the use of multiple traits and consideration of different microhabitats, has wide applicability to functional studies not just of ants but to fauna more generally.…”
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Mean limiting pressure factors determination in contiguous pile walls using RAFELA and nonlinear regression models in spatially random soil by Divesh Ranjan Kumar, Sittha Kaorapapong, Warit Wipulanusat, Suraparb Keawsawasvong

“…The models were evaluated using several statistical performance parameters, scatter plots, residual error curves, and eight statistical performance metrics to ensure predictive accuracy and reliability. …”
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Improving Solar Radiation Forecasting in Cloudy Conditions by Integrating Satellite Observations by Qiangsheng Bu, Shuyi Zhuang, Fei Luo, Zhigang Ye, Yubo Yuan, Tianrui Ma, Tao Da

“…Forecast errors are related to cloud regimes, of which the cloud amount leads to a maximum relative RMSE difference of about 50% with an additional 5% from cloud variability. …”
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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

“…Using data from 546 users in China, a relevant demographic given the dominance of platforms like WeChat in both social and professional settings, we uncover insights that are particularly applicable to highly connected digital environments. …”
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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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Adaptive Gap-Filling of Multispectral Images at Coarse and Fine Spatial Resolution by Seyedkarim Afsharipour, Li Jia, Massimo Menenti, Hamid Reza Ghafarian Malamiri

“…For fine-resolution images, random gaps were reconstructed most effectively, with RMSE values for the blue band between 0.005 and 0.01, and NIR errors ranging from 0.01 to 0.05. SSIM values ranged from 0.90 to 0.83 (blue) and 0.86 to 0.71 (NIR), confirming the method reliability for time-series analysis and data fusion applications.…”
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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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