Assessment of GOCI-II satellite remote sensing products in Lake Taihu by Min Zhao, Min Zhao, Huaming Li, Hao Li, Xuan Zhang, Xiaosong Ding, Xiaosong Ding, Fang Gong

“…When applying UV correction, the 412 nm band performed better than the 380 nm band, likely due to a lower signal-to-noise ratio at 380 nm and smaller extrapolation errors at 412 nm.DiscussionWhile the NIR algorithm is suitable for open ocean waters, the UV algorithm demonstrated higher accuracy in turbid environments such as Lake Taihu. …”
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Prediction of Sea Surface Chlorophyll-a Concentrations by Remote Sensing and Deep Learning by Qingfeng Ruan, Delu Pan, Difeng Wang, Xianqiang He, Fang Gong, Qingjiu Tian

“…The results indicate that compared with the RSTFE model, the ChlaPM model achieves substantial reductions in the root mean square error (RMSE) of 53.84%, 53.58%, and 49.70% for predicting Chl-a concentrations 1 month, 3 months, and 6 months into the future, respectively. …”
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Anti-inflammatory effect of chamomile from randomized clinical trials: a systematic review and meta-analyses by Jason Valmy, Stephanie Greenfield, Satoru Shindo, Toshihisa Kawai, Jorge Cervantes, Bo-Young Hong

“…The mean difference, confidence intervals, and standard error from the extracted means and standard deviations for relevant outcomes were calculated. …”
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Enhanced nonlinear sliding mode control technique for wind power generation systems application: Theoretical design and comparative study by Yattou El Fadili, Ismail Boumhidi

“…The controller also achieves a high efficiency of 47.45%, robustly driving the system to its desired state in finite time with tracking error standard deviations of 0.3171 in the first test and 0.1652 in the second test.…”
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A Novel Hybrid Deep Learning Framework for Evaluating Field Evapotranspiration Considering the Impact of Soil Salinity by Yao Rong, Weishu Wang, Peijin Wu, Pu Wang, Chenglong Zhang, Chaozi Wang, Zailin Huo

“…During testing, DL‐SS consistently showed optimal performance, yielding root mean square error (RMSE) values of 37.4 W m−2 for sunflower and 39.2 W m−2 for maize. …”
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Enhanced quantitation of pathological α-synuclein in patient biospecimens by RT-QuIC seed amplification assays. by Ankit Srivastava, Qinlu Wang, Christina D Orrù, Manel Fernandez, Yaroslau Compta, Bernardino Ghetti, Gianluigi Zanusso, Wen-Quan Zou, Byron Caughey, Catherine A A Beauchemin

“…The use of 2-fold versus 10-fold dilution factors and 12 versus 4 replicate reactions per dilution reduced ED-RT-QuIC assay error by as much as 70%. This enhanced assay format discriminated as little as 2-fold differences in αSynD seed concentration besides detecting ~2-16-fold seed reductions caused by inactivation treatments. …”
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Quantized Convolutional Neural Networks Robustness under Perturbation [version 1; peer review: 2 approved] by Guy Kember, Issam Hammad, Jack Langille

“…We find that across all three models and under each perturbation scheme, the relative error between the quantized and full-precision model was consistently low. …”
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Optimizing Energy Performance of Phase-Change Material-Enhanced Building Envelopes Through Novel Performance Indicators by Abrar Ahmad, Shazim Ali Memon

“…Simulation outputs were validated against experimental cubicle data, yielding a mean absolute indoor temperature error ≤ 4.5%, well within the ±5% tolerance commonly accepted for building thermal simulations. …”
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MTL-PlotCounter: Multitask Driven Soybean Seedling Counting at the Plot Scale Based on UAV Imagery by Xiaoqin Xue, Chenfei Li, Zonglin Liu, Yile Sun, Xuru Li, Haiyan Song

“…PlotCounter achieves a root mean square error (RMSE) of 6.98 and a relative RMSE (rRMSE) of 6.93%. …”
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Regional variation in cerebral oxygen metabolism during acute severe hypoxia with temporary cognitive impairment by Daehun Kang, Koji Uchida, Clifton R. Haider, Norbert G. Campeau, Myung-Ho In, Erin M. Gray, Joshua D. Trzasko, Kirk M. Welker, Jeffrey L. Gunter, Matt A. Bernstein, Max R. Trenerry, David R. Holmes, III, Michael J. Joyner, Timothy B. Curry, John Huston, III, Yunhong Shu

“…These regions exhibited δCMRO2 reductions exceeding the hemispheric average (-9.6 ± 7.9 %) and were associated with increased commission errors during the Go/No-Go task, reflecting impaired inhibitory control and sustained attention. …”
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Quercetin-loaded exosomes delivery system prevents myopia progression by targeting endoplasmic reticulum stress and ferroptosis in scleral fibroblasts by Lianghui Zhao, Xiaoyun Dong, Bin Guo, Jike Song, Hongsheng Bi

“…In the initial phase of treatment, Exo-Que showed a pronounced myopia prevention effect, with reductions of 58.41 % in refractive error progression and 38.46 % in axial length growth after two weeks of treatment. …”
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Mapping 1-km soybean yield across China from 2001 to 2020 based on ensemble learning by Min Zhang, Xinlei Xu, Junji Ou, Zengguang Zhang, Fangzheng Chen, Lijie Shi, Bin Wang, Meiqin Zhang, Liang He, Xueliang Zhang, Yong Chen, Kelin Hu, Puyu Feng

“…The resulting dataset captures over 50% of the yield variability at the county scale, demonstrating superior accuracy compared to publicly available datasets with reductions in Root Mean Square Error (RMSE) ranging from 0.18 to 0.60 t/ha. …”
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Two-Year Post-Market Surveillance of iStent inject® W Combined with Phacoemulsification in Japanese Open-Angle Glaucoma Eyes by Inatani M, Kohama I, Chu A

“…At M24, the estimated reductions in mean (standard error) IOP and number of medications were 2.0 (0.5) mmHg and 1.9 (0.4), respectively, in the cohort. …”
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Development of In Vitro Potency Methods to Replace In Vivo Tests for Enterovirus 71 Inactivated Vaccine (Human Diploid Cell-Based/Vero Cell-Based) by Xuanxuan Zhang, Li Yi, Dan Yu, Jun Li, Xintian Li, Xing Wu, Fan Gao, Qian He, Wenhui Wang, Kaiwen Wang, Zejun Wang, Zhengling Liu, Yadong Li, Yong Zhao, Huiyi Li, Xiao Ma, Qingbing Zheng, Longfa Xu, Tong Cheng, Rui Zhu, Jing Guo, Jing Li, Qunying Mao, Zhenglun Liang

“…All IVRP methods achieved a relative bias/precision/total error ≤ 15%. The IVRP methods correlated with in vivo methods (<i>p</i> < 0.05, r > 0.9) can discriminate EV71 antigen concentrations (<i>p</i> < 0.01, r > 0.99) and indicate the stability of the vaccines. …”
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Unveiling the performance and influential factors of GEDI L2A for building height retrieval by Peimin Chen, Huabing Huang, Peng Qin, Zhenbang Wu, Zixuan Wang, Chong Liu, Na Dong, Jie Wang

“…To ensure data reliability, we refined the GEDI dataset by excluding footprints outside buildings, filtering out low-quality footprints, removing footprints failing to detect ground elevation using the interquartile range (IQR) detection method, and excluding footprints with geolocation errors through an eight-direction offset approach. …”
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Enhanced Seafloor Topography Inversion Using an Attention Channel 1D Convolutional Network Based on Multiparameter Gravity Data: Case Study of the Mariana Trench by Qiang Wang, Ziyin Wu, Zhaocai Wu, Mingwei Wang, Dineng Zhao, Taoyong Jin, Qile Zhao, Xiaoming Qin, Yang Liu, Yifan Jiang, Puchen Zhao, Ning Zhang

“…Results of a case study of the Mariana Trench indicated that the AC1D grid predictions exhibited improved agreement with single-beam depth checkpoints, with standard deviation reductions of 6.32%, 20.79%, and 36.77% and root mean square error reductions of 7.11%, 22.82%, and 50.99% compared with those of parallel linked backpropagation, the gravity–geological method, and a convolutional neural network, respectively. …”
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Coordinated Multi-Input and Single-Output Photonic Millimeter-Wave Communication in W-Band Using Neural Network-Based Waveform-To-Symbol Converter by Kexin Liu, Boyu Dong, Zhongya Li, Yinjun Liu, Yaxuan Li, Fangbing Wu, Yongzhu Hu, Junwen Zhang

“…The results show that the NNWSC-based receiver achieves significant bit error rate (BER) reductions compared to conventional receivers across all configurations. …”
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Estimation of Footprint-Scale Across-Track Slopes Based on Elevation Frequency Histogram from Single-Track ICESat-2 Photon Data of Strong Beam by Qianyin Zhang, Hui Zhou, Yue Ma, Song Li, Heng Wang

“…The results show that the mean absolute error (MAE) obtained by our method is 11.45°, which is comparable to the ICESat-2 method (11.61°) and the plane fitting method (12.51°). …”
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Evaluation of the LI-710 evapotranspiration sensor in comparison to full eddy covariance for monitoring energy fluxes in perennial and annual crops by Srinivasa Rao Peddinti, Isaya Kisekka

“…H improved similarly (processing tomato: 0.86–0.97; citrus: 0.13–0.67; almond: −0.35 to 0.75; pistachio: 0.20–0.85), while LE accuracy rose from 0.44 to 0.95 in processing tomatoes, −0.10 to 0.77 in citrus, −1.51 to 0.76 in almonds, and 0.71–0.93 in pistachios. Corresponding reductions in root mean square error (RMSE) confirmed that EBR-corrected LI-710 measurements closely aligned with EC observations, effectively capturing seasonal peaks and phenological transitions. …”
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Processor-in-the-Loop validation of direct power control based on fractional-order modified super-twisting algorithm for doubly-fed induction generators by Mourad Yessef, Habib Benbouhenni, Ahmed Lagrioui, Nicu Bizon, Badre Bossoufi, Saad F. Al-Gahtani, Z. M. S. Elbarbary

“…The DPC-FOMSTC strategy showed notable decreases in ripples, overshoot, and steady-state error (SSE) for active power (Ps) by around 78.85%, 69.05%, and 36.84%, respectively, when compared to the conventional DPC method. …”
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