Using automation to improve business process productivity by S. V. Trofimov

“…The study analyzed scientific publications by Russian authors, as well as studied examples of the implementation of robotic technologies that show a reduction in errors due to the rejection of manual checks. …”
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The Role of University Library in the Development of Information Culture of Students Studying Journalism by A. D. Mershieva

“…The relevance lies in the reduction of information competencies of mass media specialists, which affects not only the quality of information flows, but also the development of the audience, contributing to the creation and spread of misconceptions and factual errors.The purpose of the study is to determine the degree of influence of the library on the formation of elements of information culture among students in the direction of training “Journalism”. …”
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Local chromatic correction optics for Future Circular Collider e^{+}e^{−} by Pantaleo Raimondi, Simone Maria Liuzzo, Laurent Farvacque, Simon White, Michael Hofer

“…The overall properties of the new optics proposed are analyzed in the presence of errors and compared to other optics designs.…”
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Fundamentals of Industrial Strategizing: Formation of the Concept by N. I. Sasaev

“…Since the most critical errors occur at the initial stages of strategizing, to a greater extent this research is focused on the formation of the concept — the core block of any strategy. …”
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Practical techniques for high-precision measurements on near-term quantum hardware and applications in molecular energy estimation by Keijo Korhonen, Hetta Vappula, Adam Glos, Marco Cattaneo, Zoltán Zimborás, Elsi-Mari Borrelli, Matteo A. C. Rossi, Guillermo García-Pérez, Daniel Cavalcanti

“…We demonstrate these techniques via molecular energy estimation of the BODIPY molecule on a Hartree-Fock state on an IBM Eagle r3, obtaining a reduction in measurement errors by an order of magnitude from 1-5% to 0.16%. …”
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Extended Calibration Technique of a Four-Hole Probe for Three-Dimensional Flow Measurements by Suresh Munivenkatareddy, Nekkanti Sitaram

“…Sensitivity analysis of all the four calibration coefficients shows that probe pitch sensitivity is lower than the yaw sensitivity in the center zone, and extended left and right zones have lower sensitivity than the center zone. In addition, errors due to the data reduction program for the probe are presented. …”
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Renal replacement therapy in the neonatal intensive care unit by Tze Yee Diane Mok, Min-Hua Tseng, Ming-Chou Chiang, Ju-Li Lin, Shih Ming Chu, Jen-Fu Hsu, Reyin Lien

“…The percentage reduction in ammonia in neonates with IEM who received CRRT was 87.2% at 24 h. …”
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Supplemental parenteral nutrition within an enhanced recovery program for open pancreatoduodenectomy for cancer: a pragmatic, multicenter, randomized controlled trialResearch in co... by Luca Gianotti, Salvatore Paiella, Giovanni Capretti, Nicolò Pecorelli, Isabella Frigerio, Marta Sandini, Alessandro Fogliati, Eleonora Vico, Marco Braga, Christian Cotsoglou, Alfonso Pedalino, Giuseppe Malleo, Simone Ricchitelli, Sabrina Caspani, Giovanni Guarneri, Alessia Vallorani, Alessandro Giardino, Elettra Pasqualoni, Roberto Salvia, Alessandro Zerbi, Massimo Falconi, Giovanni Butturini, Davide Paolo Bernasconi

“…The expected complication rate was 60%, and the type I error rate was set at 5%. Registration at ClinicalTrials.gov (#NCT04438447). …”
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Defect Detection and 3D Reconstruction of Complex Urban Underground Pipeline Scenes for Sewer Robots by Ruihao Liu, Zhongxi Shao, Qiang Sun, Zhenzhong Yu

“…The Sewer-YOLO-Slim model achieves reductions of 60.2%, 60.0%, and 65.9% in model size, parameters, and floating-point operations (FLOPs), respectively, while improving the mean average precision (mAP) by 1.5%, reaching 93.5%. …”
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Multi-Energy-Microgrid Energy Management Strategy Optimisation Using Deep Learning by Wenyuan Sun, Shuailing Ma, Yufei Zhang, Yingai Jin, Firoz Alam

“…The proposed prediction model’s Mean Absolute Error (MAE) is found to be 1.3512, and its R² is 0.9683, proving its efficacy and reliability. …”
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Applying the greenhouse gas inventory calculation approach to predict the forest carbon sink by Fredric Mosley, Jari Niemi, Sampo Soimakallio

“…Achieving this target not only depends on the effective implementation of emission reductions, but to a large part on the forest carbon sink. …”
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Enhancing Joint Probability of Maxima Method Through ENSO Integration: A Case Study of Annapolis, Maryland by Paul F. Magoulick, Li P. Sung

“…The ENSO-JPMM demonstrates improved predictive accuracy across all phases, with root mean square error reductions of up to 5.96% during Neutral conditions and 3.56% during El Niño phases. …”
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Image Similarity Quantum Algorithm and Its Application in Image Retrieval Systems by Qingchuan Yang, Xianing Feng, Lianfu Wei

“…Overall, within the acceptable error thresholds, the AE-QIP algorithm exhibits enhanced efficiency relative to the ST-QIP algorithm. …”
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Assessing the impact of future altimeter constellations in the Met Office global ocean forecasting system by R. R. King, M. J. Martin, L. Gaultier, J. Waters, C. Ubelmann, C. Donlon

“…</p> <p>Here we show that an altimeter constellation of 12 nadir altimeters produces greater reductions in the errors for SSH, surface currents, temperature, and salinity fields compared to a constellation of 2 wide-swath altimeters. …”
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A framework for continual learning in real-time traffic forecasting utilizing spatial–temporal graph convolutional recurrent networks by Mariam Labib Francies, Abeer Twakol Khalil, Hanan M. Amer, Mohamed Maher Ata

“…Extensive experiments conducted on the PeMSD3, PeMSD4, PeMSD7, and PeMSD8 datasets reveal the superiority of the proposed models, STGCN-EWC, STGCN-MAS, and STGCN-SI models achieve significant reductions in error rates compared to baseline methodologies. …”
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Hyperspectral Remote Sensing Estimation of Rice Canopy LAI and LCC by UAV Coupled RTM and Machine Learning by Zhongyu Jin, Hongze Liu, Huini Cao, Shilong Li, Fenghua Yu, Tongyu Xu

“…The results indicate that the RPIOSL-UBM model’s hyperspectra closely match measured data in the 500–650 nm and 750–1000 nm ranges, reducing the root mean square error (RMSE) by 0.0359 compared to the PROSAIL model. …”
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Enhancing LiDAR Mapping with YOLO-Based Potential Dynamic Object Removal in Autonomous Driving by Seonghark Jeong, Heeseok Shin, Myeong-Jun Kim, Dongwan Kang, Seangwock Lee, Sangki Oh

“…The system achieved RMSE (Root Mean Square Error) reductions compared to conventional methods, with RMSE values decreasing from 0.9870 to 0.9724 in open areas and from 1.3874 to 1.1217 in urban areas. …”
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The Impact of Visual Perturbation Neuromuscular Training on Landing Mechanics and Neural Activity: A Pilot Study by Timothy R Wohl, Cody R Criss, Adam L Haggerty, Justin L Rush, Janet E Simon, Dustin R Grooms

“… # Results Following VPNT, LESS scores decreased by 1.5 ± 1.69 errors with a large effect size (0.78), indicating improved mechanics, and reductions in BOLD signal were observed in two clusters: 1) left supramarginal gyrus, inferior parietal lobule, secondary somatosensory cortex (p=.012, z=4.5); 2) right superior frontal gyrus, supplementary motor cortex (p<.01, z=5.3). …”
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Comparing Virtual Reality and Robotic Training Effects on Balance Ability and Confidence in Older Adults by Oluwasola Okhuoya, Lara A. Thompson

“…However, the RABT group showed trends toward enhanced balance performance, with observed decreases in mediolateral (ML) maximum displacement during wide stance conditions and reductions in BESS errors on both firm and foam surfaces. …”
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Prediction of the discharge coefficient of steeply crested inclined weirs using different neural network techniques by Adnan A. Ismael, Abdulnaser A. Ahmed, Raid Rafi Omar Al-Nima, Mohammed Khaire Hussain

“…CFNN achieved a significant reduction in mean square errors (MSE), with values of 9.4363×10-12 and 1.6336×10-05, respectively, in the training and testing phases. …”
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