Channel Measurements and Modeling at 6 GHz in the Tunnel Environments for 5G Wireless Systems by Shuang-de Li, Yuan-jian Liu, Le-ke Lin, Zhong Sheng, Xiang-chen Sun, Zhi-peng Chen, Xiao-jun Zhang

“…The measured results and simulated results are analyzed in terms of path loss models, received power, root mean square (RMS) delay spread, Ricean K-factor, and angle of arrival (AOA). …”
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Out-of-hospital multimodal seizure detection: a pilot study by Martin Ballegaard, Troels Wesenberg Kjær, Ivan Chrilles Zibrandtsen, Jonas Munch Nielsen, Ástrós Eir Kristinsdóttir, Paolo Masulli, Tobias Søren Andersen

“…To assess the content of noise in the EEG signal, we compared the root-mean-square (RMS) of the recordings to a reference threshold derived from manually categorised segments of EEG recordings.Results In total 1427 hours of continuous EEG was recorded. …”
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Ultra-Wideband-Based Method for Measuring Tree Positions With Decimeter-Level Accuracy Under a Forest Canopy by Zuoya Liu, Harri Kaartinen, Teemu Hakala, Heikki Hyyti, Juha Hyyppa, Antero Kukko, Ruizhi Chen, Mikko Vastaranta

“…Experimental results show that the developed method measured tree positions with a root-mean-square-error of 0.13 m compared to the total station-based reference and 0.14 m compared to the high-density airborne laser scanning-based reference measurements. …”
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Estimation of aboveground biomass of savanna trees using quantitative structure models and close-range photogrammetry by Finagnon Gabin Laly, Gilbert Atindogbe, Hospice Afouda Akpo, Noël Houédougbé Fonton

“…Images were processed to reconstruct 3D models of the trees, from which tree volume was calculated using quantitative structure models (QSM) and converted to AGB with species-specific wood density. Agreement between reference and estimated AGB was assessed using coefficient of variation of root mean square error (RMSE%), mean absolute bias (MAB) and concordance correlation coefficient (CCC). …”
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A Glacier Ice Thickness Estimation Method Based on Deep Convolutional Neural Networks by Zhiqiang Li, Jia Li, Xuyan Ma, Lei Guo, Long Li, Jiahao Dian, Lingshuai Kong, Huiguo Ye

“…Taking ground-penetrating radar (GPR) measurements as a reference, the proposed model achieves a mean absolute deviation (MAD) of 24.28 m and a root mean square error (RMSE) of 37.95 m in Switzerland, outperforming mainstream physical models. …”
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Virtual phantom methodology for assessment of MRI distortion correction in high-precision stereotactic radiosurgery treatment planning by Tristan Belloeil-Marrane, Adrian Gutierrez, Marlies Boussaer, Cristina Teixeira, Thierry Gevaert, Mark De Ridder

“…To evaluate the impact of the distortion correction, each corrected/non-corrected image set was compared to the unbiased MRI using Root-mean-square-error (RMSE) as a full-image reference comparison metric.ResultsThe distortion correction allows for an improvement based on the RMSE correlation between baseline and distorted MRIs. …”
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Accuracy of virtual mounting at centric relation using personalized 3D-printed transfer key: a clinical in vivo study by Nam Cong-Nhat Huynh, Nhat Dinh-Minh Nguyen, Oanh Ngoc-Hoang Nguyen, Anh Ho-Quynh Nguyen, Khoa Dang Nguyen, Hai Hoang Phan, Khanh Hung Nguyen, Jong-Eun Kim, Hung Trong Hoang

“…Large-view CBCT images were obtained and then segmented for 3D reconstruction as a reference. The deviation between the virtual model and the reference was evaluated using 3D superimposition, with min, max, mean, and root mean square (RMS) deviations calculated. …”
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Anti-CV2/CRMP5 autoantibodies as drivers of sensory neuron excitability and pain in rats by Laurent Martin, Harrison J. Stratton, Lyuba Y. Salih, Nicolas LA. Dumaire, Kimberly Gomez, Le Duy Do, Santiago Loya-Lopez, Cheng Tang, Aida Calderon-Rivera, Dongzhi Ran, Venkatrao Nunna, Shreya S. Bellampalli, Liberty François-Moutal, Shizhen Luo, Frank Porreca, Mohab Ibrahim, Véronique Rogemond, Jérôme Honnorat, Rajesh Khanna, Aubin Moutal

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IrrigApp: An Online Tool for Determining Crop Water Use and Evaluating Irrigation Scheduling Options by José O. Payero

“…IrrigApp calculates daily crop evapotranspiration (ETc) and conducts a daily soil water balance to estimate several daily and seasonal variables, such as ETc under dryland and irrigated conditions, soil water content in the crop root zone, and water losses by runoff and deep percolation. …”
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Design and Testing of an Offset Straw-Returning Machine for Green Manures in Orchards by Quanzhong Zhang, Jinfei Zhao, Xiaowen Yang, Ling Wang, Guangdong Su, Xinying Liu, Chuang Shan, Orkin Rahim, Binghui Yang, Jiean Liao

“…In order to solve the problems of traditional orchard-specific green manure crushing and returning machines, such as the single operation effect, root system damage, unsustainable green manure growth, and low utilization rate, an offset crushing–furrowing–burying–straw-returning machine was designed for green manures in orchards. …”
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Integrated physiological, microbial, and metabolomics analyses revealed the differences in different varieties of Paeonia lactiflora Pall by Shuang Wu, Shuang Wu, Beijing Tian, Chenggang Shan, Xin Wang, Xinjing Xie, Hongqing Xie, Xiuwen Jia, Feng Zhang, Jinlong Han, Jinlong Han

“…In the growth process of P. lactiflora, the plant’s root secondary metabolism is intricately linked to the microbial communities that surround it. …”
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Toxicological impact of rabeprazole and evaluation of toxic effects on the plant-based eukaryotic test models by Muhammad Torequl Islam, Marcello Iriti, Hicham Harhar, Youssef Elouafy, Imane Chamkhi, Eda Sönmez Gürer, Javad Sharifi-Rad

“…The laboratory analysis showed that RPZ-Na concentration-dependently inhibited root length of A. cepa and A. sativum, as well as shoot and root lengths of C. arietinum. …”
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Application of a biologically oriented preparation technique in the restoration of traumatic anterior tooth defects: two cases report and literatures review by LIU Lulu, SHI Jiafan, SUN Mingze, LOU An, GONG Lingling, LI Ming

“…There is little remaining dental tissue, and filling material can be seen at the root canal opening. The proximal and distal diameters are small, and the tooth root is tilted towards the palatal side. …”
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Predicting indoor temperature distribution with low data dependency using recurrent neural networks by Jiahe Wang, Shohei Miyata, Keiichiro Taniguchi, Yasunori Akashi

“…Accurately predicting indoor temperature distribution can provide valuable reference data, helping residents independently adjust HVAC equipment around them to ensure comfort while reducing unnecessary energy consumption. …”
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CHEMOTHERAPY INFUSION INTO THE BRONCHIAL ARTERY IN THE COMBINED TREATMENT OF THE NON-SMAL CELL LUNG CANCER OF III STAGE by D. T. Arybzhanov, S. E. Ospanov, N. K. Ormanov, D. S. Seksenbaev, A. N. Ormanov

“…At  11  (22  %)  patients at  the  primary  reference took  place  atelectasis the  struck  share  or all lung.  …”
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Reliability Optimization Design of Two-stage Planetary Gear Wheel Hub Reducer based on MATLAB by Ke Fengqin, Tang Shixing

“…The service life of the system can meet the design requirements,which provide reference for the optimization design of the similar planetary gear system.…”
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Impact Dynamic Analysis and Rubber Impact-Resistant Design of a Launcher by Cunsheng Zhao, Bo Tong

“…According to the static calculation, the maximum stress of the structure occurred at the root of the base, which was 188.3 MPa, exceeds 0.3 times of the material yield stress specified in the military standard. …”
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Optimization of air conditioning mechanical ventilation using simulated annealing for enhanced energy efficiency and cost reduction by Enio Pedone Bandarra Filho, Gleyzer Martins, Muhammad Bilal Riaz, Sardar Muhammad Bilal, Oscar Saul Hernandez Mendonza

“…The results demonstrate notable reductions in energy consumption, installation costs, and root mean square deviation of airflow rates from design targets. …”
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Auto-correlation in the motor/imaginary human EEG signals: A vision about the FDFA fluctuations. by Gilney Figueira Zebende, Florêncio Mendes Oliveira Filho, Juan Alberto Leyva Cruz

“…In this paper we analyzed, by the FDFA root mean square fluctuation (rms) function, the motor/imaginary human activity produced by a 64-channel electroencephalography (EEG). …”
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Prediction of stress-strain behavior of rock materials under biaxial compression using a deep learning approach. by Changsheng Li, Xinsong Zhang

“…The mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R2) of the predicted and true values are used as the evaluation metrics. …”
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