Translation and psychometric validation of the Finnish version of the revised second victim experience and support tool: a pilot study by Sanu Mahat, Saija Koskiniemi, Helena Lehmusto, Santtu Mikkonen, Tiina Syyrilä, Marja Härkänen

“…Clinical trial number Not applicable.…”
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Assisting monofloral honey classification by automated pollen identification based on convolutional neural networks by José Miguel Valiente, Juan José Martín-Osuna, Ana María Peral, Isabel Escriche

“…To minimise errors in types such as Leguminoseae, segmenting this family is recommended. …”
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Applicability Evaluation of China’s First Generation of Global Land Surface Reanalysis （CRA40/Land） Air Temperature and Precipitation Products in China Mainland by Caixia WANG, Anning HUANG, Peng ZHENG, Kai LIU, Min HOU

“…The applicability of first-generation of Chinese land surface reanalysis dataset （CRA40/Land） has been evaluated with the observations from 2231 national meteorological stations and further compared with the ERA5 and CFSR datasets in terms of the spatial and temporal variations of monthly air temperature and precipitation.Triangulation linear interpolation is used to interpolate grid data into stations， and station data into grid.The China mainland is divided into four regions according to the stations distribution and topographic features.The bias， standard deviation ratio， root mean square error （RMSE）， correlation coefficient and model skill of the 3 reanalysis datasets in four regions are computed to compare the accuracy and evaluate the application.The comparative results suggest that the CRA40， ERA5 and CFSR datasets can reproduce similar spatio-temporal distribution patterns of the monthly air temperature and precipitation with the observations in Mainland of China.In particular， they all show much better performance in the eastern China than in western China and in winter than in summer.For the monthly air temperature， the mean errors of the 3 reanalysis datasets are generally within 2 ℃， with slightly better performance for the CRA40 and ERA5 datasets.For the monthly precipitation， the errors of the 3 reanalysis datasets show large differences， the CRA40 performs the best and shows the highest applicability over Mainland of China among the 3 datasets.…”
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Vision-Based 6D Pose Analytics Solution for High-Precision Industrial Robot Pick-and-Place Applications by Balamurugan Balasubramanian, Kamil Cetin

“…Experimental results across four distinct picking scenarios demonstrate the proposed solution’s superior accuracy, with position errors under 2 mm, orientation errors below 1°, and a perfect success rate in pick-and-place tasks.…”
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Exploring vaginal microbiome: from traditional methods to metagenomic next-generation sequencing—a systematic review by Siying Liu, Yuxin Chen, Kunxiu Zhang, Dan Tang, Ji Zhang, Yuxin Wang, Jiaqi Zhao, Diyan Li, Tao Wang

“…Several factors can affect data quality, including sampling procedures, contamination issues, and PCR amplification errors. We suggest implementing third-generation sequencing (TGS) to address these challenges to enhance reproducibility and read length, utilizing single-molecule sequencing (SMS) to eliminate PCR amplification-related errors, and integrating multiple analytical approaches to provide comprehensive insights. …”
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Proper conditional analysis in the presence of missing data: Application to large scale meta-analysis of tobacco use phenotypes. by Yu Jiang, Sai Chen, Daniel McGuire, Daniel McGuire, Fang Chen, Mengzhen Liu, William G Iacono, John K Hewitt, John E Hokanson, Kenneth Krauter, Markku Laakso, Kevin W Li, Sharon M Lutz, Matthew McGue, Anita Pandit, Gregory J M Zajac, Michael Boehnke, Goncalo R Abecasis, Scott I Vrieze, Xiaowei Zhan, Bibo Jiang, Dajiang J Liu

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The optimization method for wind field retrieval using high-density radar networks and its application effect verification by Ran XU, Liping LIU

“…The basic characteristics of Majorization 3 and Majorization 1 are consistent, with wind speed errors less than 1.7 m·s-1 and wind direction errors within 10°. …”
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Large-Signal Nonlinear Average Model for a Voltage-Controlled Flyback Converter by David Eduardo Giraldo-Hernández, Mario Andrés Bolaños-Navarrete, Fabiola Angulo, Gustavo Osorio, Nicols Astaiza, Juan David Mina-Casaran, Wilder Herrera

“…Numerical simulations in a study case confirm that the model effectively captures the converter dynamics under various conditions, achieving steady-state errors below 0.07% and accelerations up to 54×. These results facilitate efficient design iterations across a broad range of applications, including renewable energy systems, battery charging, and electric vehicles.…”
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A Grey CES Production Function Model and Its Application in Calculating the Contribution Rate of Economic Growth Factors by Maolin Cheng

“…However, the traditional CES function model that is built directly from economic data often shows apparent errors in parameter estimation due to data fluctuations. …”
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Predicting PLGA nanoparticle size and zeta potential in synthesis for application of drug delivery via machine learning analysis by Saad Alqarni, Bader Huwaimel

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Application of chromatography-mass spectrometry to determine free and esterified fatty acids in their combined presence in plant raw materials by M. N. Lyutikova, Yu. P. Turov, E. H. Botirov

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Application of bias correction methods to improve U3Si2 sample preparation for quantitative analysis by WDXRF by Marcos Antonio Scapin

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Applicability of Strain Gauge Methods for Experimental Determination of Operating Stress of Construction, Road and Agricultural Machines Attached to Tractors by Aleksey F. Rogachev, Anatoly A. Karsakov, Anatoly A. Martynov

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Transformers deep learning models for missing data imputation: an application of the ReMasker model on a psychometric scale by Monica Casella, Nicola Milano, Pasquale Dolce, Davide Marocco

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A personalized approach to application of robotic mechanotherapy methods in children with cerebral palsy of different age groups (review) by Ulviia Sh. Ashraphova, Olga S. Kupriianova, Elena K. Karmazina, Olga A. Klochkova, Aiaz M. Mamedieiarov, Elena V. Komarova, Marika I. Ivardava, George A. Karkashadze

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A Model-Based Tightly Coupled Architecture for Low-Cost Unmanned Aerial Vehicles for Real-Time Applications by Hery A. Mwenegoha, Terry Moore, James Pinchin, Mark Jabbal

“…Other than the navigation states, the state vector also includes IMU errors, wind velocity, VDM parameters, and receiver clock bias and drift. …”
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Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits. by Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari

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Adaptive SMF Coupling Based on Precise-Delayed SPGD Algorithm and Its Application in Free Space Optical Communication by Guan Huang, Chao Geng, Feng Li, Yan Yang, Xinyang Li

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Research on the application of a model combining improved optimization algorithms and neural networks in trajectory tracking of robotic arms by Yanhui Lai, Zuobing Chen, Ya Mao

“…This model has shown higher accuracy and lower tracking errors when handling complex nonlinear systems. These advantages suggest that the MMGO has broader applicability and higher reliability in practical applications. …”
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NONCONVENTIONAL RADIOLOGICAL TECHNOLOGIES AND PROCESSES USED FOR NEUROSURGERY IN CORRELATION WITH INTELLECTUAL PROPERTY PROTECTION WITH DIRECT APPLICATION IN HEALTHCARE ORGANIZATIO... by Dan Theodor Andronic, Oana Roxana Chivu, Augustin Semenescu, Dragos Florin Marcu, Mihail Aurel Titu

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