Development of dietary KAP（knowledge， attitude and practice）questionnaires for patients with type 2 diabetes mellitus and their family members and assessment of reliability and val... by LIU Shuhong, YANG Dan, HU Xiling, GUO Xiaodi, ZHANG Yao

“…Objective To develop two versions of dietary KAP（knowledge， attitude and practice）questionnaires among patients with type 2 diabetes mellitus （T2DM） and their family members， and to assess the reliability and validity， aiming to provide reference for medical staff regarding dietary education and management. …”
Get full text

Ice flow line maps of three large freshwater calving glaciers in the Southern Patagonian Icefield by E. Lannutti, E. Lannutti, E. Lannutti, P. Marmolejo, J. Sanchez, I. Ortíz, M. G. Lenzano, S. Moragues, S. Moragues, A. Rivera, P. Vacaflor, G. Pereyra, H. Morales

“…The algorithm's performance was assessed by comparing the generated flow lines with manually digitized reference lines, resulting in a mean error, standard deviation, and root mean square error of 57.35, 33.62, and 66.46 meters, respectively. …”
Get full text

Synergistic mapping of urban tree canopy height using ICESat-2 data and GF-2 imagery by Xiaodi Xu, Ya Zhang, Peng Fu, Chaoya Dang, Bowen Cai, Qingwei Zhuang, Zhenfeng Shao, Deren Li, Qing Ding

“…To address this issue, this study utilized ICESat-2 photon spot height data as reference samples, in conjunction with high-resolution GF-2 remote sensing data, to estimate UTCH. …”
Get full text

Agronomic performance of curly lettuce seedlings from mill compost substrate under organic cropping system by Luiz Fernando de Sousa Antunes, Adelson Paulo Araújo, Maria Elizabeth Fernandes Correia, Norma Gouvêa Rumjanek, José Guilherme Marinho Guerra

“…Results: Seedlings produced with millicompost had root dry mass, plant height, and number of leaves higher than those produced with commercial substrate. …”
Get full text

Effects of Dissolved Organic Carbon Leaching and Soil Carbon Fractions Under Intercropping <i>Dactylis glomerata</i> L.–<i>Medicago sativa</i> L. in Response to Extreme Rainfall by Cui Xu, Peng Zhang, Lu Chen, Wenzhi Wang, Xukun Yang, Zhenhuan Liu, Yanhua Mi

“…The DOC-leaching fluxes during heavy rainstorms were reduced with D + M, and the root morphology showed a significant correlation with DOC concentration. …”
Get full text

GRDL: A New Global Reservoir Area‐Storage‐Depth Data Set Derived Through Deep Learning‐Based Bathymetry Reconstruction by Zhen Hao, Fang Chen, Xiaofeng Jia, Xiaobin Cai, Chao Yang, Yun Du, Feng Ling

“…The validation against satellite altimetry and LiDAR‐based references significantly outperforms previous geometric approximation techniques, with median normalized root mean square error (NRMSE) values of 20.6% for area‐storage and 22.1% for area‐level curves. …”
Get full text

Identification of Rcr12, a single dominant clubroot resistance gene near Rcr6 on chromosome B3 of Brassica nigra by Hao Hu, Adrian Chang, Ling Cao, Yangdou Wei, Fengqun Yu

“…Using bulked segregant RNA sequencing (BSR-seq) and fine mapping in segregating populations derived from a cross between CR2748 (a susceptible B. nigra line) and BRA19278, together with single-root protoplast-derived isolates (SPIs) of P. brassicae and comparative analysis across multiple reference genomes, we established that Rcr12 is distinct from Rcr6 despite their close physical proximity. …”
Get full text

The potential of drone observations to improve air quality predictions by 4D-Var by H. Erraji, P. Franke, A. Lampert, T. Schuldt, R. Tillmann, A. Wahner, A. C. Lange

“…On both days, a significant improvement in the vertical distribution of <span class="inline-formula">O₃</span> and <span class="inline-formula">NO</span> is noticed in the analysis compared to the reference simulation without data assimilation. Moreover, the validation of the analysis against independent observations shows an overall improvement in the bias, root mean square error, and correlation for <span class="inline-formula">O₃</span>, <span class="inline-formula">NO</span>, and <span class="inline-formula">NO₂</span> (nitrogen dioxide) ground concentrations at the measurement site as well as in the surrounding region. …”
Get full text

The Effects of the Biceps Brachii and Brachioradialis on Elbow Flexor Muscle Strength and Spasticity in Stroke Patients by Binbin Yu, Xintong Zhang, Yihui Cheng, Lingling Liu, null YanJiang, Jiayue Wang, Xiao Lu

“…Fifteen patients with elbow flexor spasticity after stroke were enrolled in this study. sEMG signals of the paretic and nonparetic elbow flexor muscles (biceps and brachioradialis) were detected during MVIC and FPE, and root mean square (RMS) values were calculated. The RMS values (mean and peak) of the biceps and brachioradialis were compared between the paretic and nonparetic sides. …”
Get full text

Evaluation of Soil Moisture Retrievals from a Portable L-Band Microwave Radiometer by Runze Zhang, Abhi Nayak, Derek Houtz, Adam Watts, Elahe Soltanaghai, Mohamad Alipour

“…These findings highlight the significant potential of ground- or drone-based PoLRa measurements as a standalone reference for the calibration and validation of spaceborne L-band synthetic aperture radars and radiometers. …”
Get full text

Trueness of Implant Positioning Using Intraoral Scanning and Dental Photogrammetry for Full-Arch Implant-Supported Rehabilitations: An In Vitro Study by João Carlos Faria, Manuel António Sampaio-Fernandes, Susana João Oliveira, Rodrigo Malheiro, João Carlos Sampaio-Fernandes, Maria Helena Figueiral

“…Statistically significant differences were observed in the root mean square values among the three devices. …”
Get full text

Least travel time ray tracer version 2 (LTT v2) adapted to the grid geometry of the OpenIFS atmospheric model by M. Vasiuta, A. Navarro Trastoy, S. Motlaghzadeh, L. Tuppi, T. Mayer-Gürr, H. Järvinen

“…The GNSS orbit MDs are reduced by around 3 % when using the LTT v2 model, while root-mean-square residuals of ground station precise positioning are 5 % lower with LTT v1. …”
Get full text

Space-Based Mapping of Pre- and Post-Hurricane Mangrove Canopy Heights Using Machine Learning with Multi-Sensor Observations by Boya Zhang, Daniel Gann, Shimon Wdowinski, Chaohao Lin, Erin Hestir, Lukas Lamb-Wotton, Khandker S. Ishtiaq, Kaleb Smith, Yuepeng Li

“…Predicted CH losses were comparable with LiDAR-derived reference values across height and species classes. …”
Get full text

The interannual variations of installed capacity for offshore wind turbines in China: estimations derived solely from remote sensing by Qiannan Ding, Chunpeng Chen, Bo Tian, Wenxiang Ji, Bin Zhang, Xue Li, Qing Yuan

“…Comparing the generated single OWT capacity with the officially published results, the root mean square error (RMSE) is 0.27 MW (5.06%). …”
Get full text

Development and validation of an innovative approach to estimating FVIII levels and designing personalised doses in the prophylactic treatment of haemophilia A: based on the princi... by Xuemei Wu, Zipeng Wei, Jianxing Zhou, Baohua Xu, You Zheng, Qingxia Liu, Shuxia Zhang, Maobai Liu, Meijuan Huang, Fenge Yang

“…The simulated coagulation factor levels were considered as the reference (Cref). FVIII levels at six sampling points after dosing were estimated with Method 1 and the method proposed by Lisheng Cai (Method 2) and compared with Cref. …”
Get full text

Satellite retrievals of total phosphorus in Taihu Lake using Sentinel-2 images and an optimized XGBoost model by Jiayu Cui, Shiqiang Wu, Jiangyu Dai, Wanyun Xue, Yue Zhang, Jiayi You, Xueyan Lv, Xuan Yang

“…The coefficient of determination (R2) was 0.7151, and the root mean square error (RMSE) was 0.0179 mg/L. Compared to using all feature variables, the R2 increased by 35 %, RMSE decreased by 11.4 %, and the accuracy rate of total phosphorus retrieval concentration reached 81.7 %. …”
Get full text

Monitoring and Evaluation of High Temperature and Heat Damage of Summer Maize Based on Remote Sensing Data by Yang Lei, Han Lijuan, Song Jinling, Li Sen

“…This study has an important reference role for the development of a large-scale summer corn high temperature monitoring and evaluation work.…”
Get full text

Multi-Output Regression for the Prediction of World-Class Performances in Women&#x2019;s Handball by Rayane Elimam, Nicolas NICOLAS, Jacques Prioux, Jacky Montmain, Stephane Perrey

“…We compared 4 single-output models (kNN, regression tree, random forest and(NN) Predictive models inspired by the human brain, used in this study for multi-output prediction in sports performance analysis (neural networks)), their multi-output counterparts and aA baseline model predicting future performance as the average of each player&#x2019;s past performance, serving as a simple reference for comparison with more complex models (dummy baseline) (predicting the average performance of each player over the last month) in terms of average(Root Mean Squared Error) A measure of the quadratic difference between predicted and actual values in regression models (RMSE) (aRMSE) during aAn evaluation method where past training and game data are used sequentially to predict performance of the next game (chronological evaluation) where previous trainings and games data are used to train models to predict the next game performances. …”
Get full text

Dimensional accuracy of 3D-printed surgical cutting guides after hospital sterilization: a comparative evaluation of ten MEX materials by Diana Popescu, Mariana Cristiana Iacob, Rodica Marinescu

“…Dimensional deviations were assessed by comparing the reference STL model with the scanned models using metrics such as root mean square, standard deviation, Gaussian mean, and maximum error. …”
Get full text

A Novel Rubber Composite Sleeper-Deformation-Prediction Model Based on Response Surface Method (RSM) and Machine Learning (ML) Techniques by Abdulmumin Ahmed Shuaibu, Zhiping Zeng, Ibrahim Hayatu Hassan, Wang Weidong, Hassan Suleiman Otuoze, Suleiman Abdulhakeem, Bushrah Baba Abdulrahman

“…Model performance was evaluated using the correlation coefficient (R2), mean square error (MSE), root means square error (RMSE), and mean absolute error (MAE). …”
Get full text