Machine learning-based retrieval of total column water vapor over land using GMI-sensed passive microwave measurements by Jiafei Xu, Zhizhao Liu

“…The newly developed retrieval algorithm has the potential for integration into operational satellite missions or meteorological services, thereby enhancing weather forecasting, climate modeling, and other relevant applications.…”
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Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer by Mohd Herwan Sulaiman, Zuriani Mustaffa

“…Results demonstrate that the CNN-LSTM-BMO achieves superior performance with the lowest Root Mean Square Error (RMSE) of 0.5523 and highest R² value of 0.9435, showing statistically significant improvements over other optimization methods as confirmed by paired t-tests (P < 0.05). …”
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Hydrogeomorphological dynamics and erosion of the soft coasts in tropical Africa, the case study of the Wouri estuary, Cameroon by Philippes Mbevo Fendoung, Aurélia Hubert-Ferrari

“…This study lays a foundation for comprehensive coastal research and management, providing insights applicable to other African coastlines to mitigate the impacts of coastal erosion.…”
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From Simulation to Field Validation: A Digital Twin-Driven Sim2real Transfer Approach for Strawberry Fruit Detection and Sizing by Omeed Mirbod, Daeun Choi, John K. Schueller

“…The techniques developed and validated in this strawberry project have broad applicability across agricultural commodities, particularly for fruit and vegetable production systems. …”
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Multi-scale machine learning model predicts muscle and functional disease progression by Silvia S. Blemker, Lara Riem, Olivia DuCharme, Megan Pinette, Kathryn Eve Costanzo, Emma Weatherley, Jeff Statland, Stephen J. Tapscott, Leo H. Wang, Dennis W. W. Shaw, Xing Song, Doris Leung, Seth D. Friedman

“…As many neuromuscular diseases are characterized by variability and heterogeneity similar to FSHD, such approaches have broad applicability.…”
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Investigating the impact of meteorological parameters on daily soil temperature changes using machine learning models by Farrokh Asadzadeh, Somayeh Emami, Ahmed Elbeltagi, Muhammed Ernur Akiner, Vahid Rezaverdinejad, Farshid Taran, Ali Salem

“…Additionally, the ANN model exhibited the lowest error rates across all depths, highlighting its superior capability for estimating daily ST in agricultural soils. …”
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Radar-equivalent snowpack: reducing the number of snow layers while retaining their microwave properties and bulk snow mass by J. Meloche, N. R. Leroux, B. Montpetit, V. Vionnet, C. Derksen

“…Using this methodology in SWE retrieval applications, this method can be used to simplify snowpacks and reduce the number of variables to optimize while maintaining similar scattering behavior without compromising the modeled snowpack properties. …”
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Comparative evaluation of chitosan-based multifunctional wound dressings: a multistage randomised controlled experimental trial by D. I. Ushmarov, S. E. Gumenyuk, A. S. Gumenyuk, T. V. Gayvoronskaya, S. Ya. Karablina, А. V. Pomortsev, A. S. Sotnichenko, K. I. Melkonyan, T. Е. Grigoriev

“…Variation statistics was used for the data analysis, including the mean (M) and standard mean error (± m) estimation. The level of statistical significance was p &lt; 0.05.Results. …”
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A Cost-Effective Saliva-Based Human Epigenetic Clock Using 10 CpG Sites Identified with the Illumina EPIC 850k Array by Christopher Collins, James Brown, Henry C. Chung

“…The biological significance of these loci is discussed, along with the potential health and forensic applications of a saliva-based epigenetic age predictor. …”
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Enhancing County-Level GDP Estimation Accuracy With Downscaled NPP-VIIRS Nighttime Light Data by Weihua Lin, Weixing Xu, Zhaocong Wu, Jiaheng Cao

“…Additionally, the downscaled NTL data improve the accuracy of GDP estimates by reducing the relative error between estimated and statistical GDP compared to NPP-VIIRS NTL data. …”
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Detail-preserving denoising of CT and MRI images via adaptive clustering and non-local means algorithm by Mohit Sharma, Ayush Dogra, Bhawna Goyal, Anita Gupta, Manob Jyoti Saikia

“…Residual noise in the low-rank matrix is then further suppressed through a coefficient-wise linear minimum mean square error LMMSE estimator in the PCA transform domain. …”
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Smartphone LIDAR can measure tree cavity dimensions for wildlife studies by Jessica M. Stitt, Leona K. Svancara, Lee A. Vierling, Kerri T. Vierling

“…Correlations between Spike measurements and cavity dimensions were high (r > 0.91 across 3 dimensions; n = 294). Measurement error for both vertical and horizontal diameters of cavity entrances was <1 cm on average. …”
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Motion correction of simultaneous brain PET/MR images based on tracer uptake characteristics by Sheng-Chieh Chiu, Jose Angelo U. Perucho, Yu-Hua Dean Fang

“…Clinical trial number Not applicable.…”
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Assessment of a Hyperspectral Remote Sensing Model Performance for Particulate Phosphorus in Optically Shallow Lake Water by Banglong Pan, Wuyiming Liu, Zhuo Diao, Qianfeng Gao, Lanlan Huang, Shaoru Feng, Juan Du, Qi Wang, Jiayi Li, Jiamei Cheng

“…Considering Chaohu Lake as a case study, we proposed a random forest algorithm based on the convolutional neural network (CNN-RF) to investigate the spatial and temporal patterns of PP concentration in the lake using HJ-2 hyperspectral satellite images. The applicability of backpropagation (BP) neural network, random forest (RF), convolutional neural network (CNN), and CNN-RF models for remote sensing inversion of PP concentration is assessed through model comparison. …”
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Dose-dependent myopia-suppressing effect of 4-phenlybutyric acid eye drops in a mouse myopia model under masked condition by Shin-ichi Ikeda, Kohei Sone, Yoshihiro Takai, Takayuki Miyano, Kazuno Negishi, Kazuo Tsubota, Toshihide Kurihara

“…Changes in refractive error and axial length were measured to assess myopia progression. …”
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Bringing Machine Learning Classifiers Into Critical Cyber-Physical Systems: A Matter of Design by Burcu Sayin, Tommaso Zoppi, Nicolo Marchini, Fahad Ahmed Khokhar, Andrea Passerini

“…This paper argues that ML classifiers intended for critical applications should not be designed nor evaluated in isolation. …”
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Psychometric properties of the Chinese version physical literacy assessment questionnaire among high school students in Gansu, China by Zilu Qu, Jiarun Wu, Yee Cheng Kueh, Dongqing Ye, Garry Kuan

“…The aim of this study is to translate and adapt the PPLA-Q into Chinese (PPLA-Q-C) and validate its applicability among adolescents in Gansu, China through confirmatory factor analysis (CFA). …”
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A Novel Approach to Generate Large-Scale InSAR-Derived Velocity Fields: Enhanced Mosaicking of Overlapping InSAR Data by Xupeng Liu, Guangyu Xu, Yaning Yi, Tengxu Zhang, Yuanping Xia

“…In some tracks, there are overlapping areas on the east and west sides, and the line-of-sight (LOS) value can be effectively corrected by using these overlapping areas with similar size for two cross-track mosaics. The root mean square error (RMSE) of these tracks was reduced by about 4% to 8% on average when verified using true values of GNSS data compared to no cross-track mosaic. …”
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Using new control strategies to improve the effectiveness and efficiency of the hybrid power system based on the battery storage system by Karima Boutaghane, Habib Benbouhenni, Nedjoua Bennecib, Ilhami Colak, Z. M. S. Elbarbary, Saad F. Al-Gahtani

“…These results make the designed approach of great importance in the future in other industrial applications.…”
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Development of the nursing practice scale to enhance resilience in family caregivers and evaluation of its reliability and validity by Ruxin Lei, Kazuaki Tanabe, Chie Teramoto, Hiroyuki Sawatari, Mikako Yoshihara, Hisae Nakatani

“…Clinical trial number Not applicable.…”
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