Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology by Ayako Yagahara, Masahito Uesugi, Hideto Yokoi

“…The evaluations included the quantitative metrics of BiLingual Evaluation Understudy (BLEU), Character Error Rate (CER), Word Error Rate (WER), Metric for Evaluation of Translation with Explicit ORdering (METEOR), and Bidirectional Encoder Representations from Transformers (BERT) score, as well as qualitative evaluations by four experts. …”
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Automated quantification of SARS-CoV-2 pneumonia with large vision model knowledge adaptation by Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Sameer Antani

“…Results: The model based on the pretrained vision transformer (ViT) and self-supervised learning achieved the best performance in cross validation, with mean squared error (MSE) of 23.83 (95 % CI 22.67–25.00) and mean absolute error (MAE) of 3.64 (95 % CI 3.54–3.73). …”
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Comparison of Intraocular Lens Calculation Formulas for Phacoemulsification after Corneal Refractive Surgery in Asian Eyes by Cris Martin Jacoba, MD, DPBO, Mary Ellen Sy, MD, DPBO, Isa Mulingbayan Jacoba, MD

“…Using the post-phacoemulsification manifest refraction spherical equivalent (MRSE) as target refraction, IOL prediction error (PE) for each formula was calculated as the implanted minus the predicted IOL power. …”
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Assessment of the Severity of Breast Artery Calcification on a Mammogram: Intraoperator and Interoperator Reproducibility by E. V. Bochkareva, E. K. Butina, N. Kh. Bayramkulova, O. A. Abdalova, V. A. Kutsenko, O. M. Drapkina

“…There was no systematic error between the measurements of the two experts (p=0.438), the correlation coefficient was rs=0.942.Conclusion. …”
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Enhancing Gamma Knife Cone-beam Computed Tomography Image Quality Using Pix2pix Generative Adversarial Networks: A Deep Learning Approach by Prabhakar Ramachandran, Darcie Anderson, Zachery Colbert, Daniel Arrington, Michael Huo, Mark B Pinkham, Matthew Foote, Andrew Fielding

“…The sCT images were evaluated against ground truth CT scans using image quality assessment metrics, including the structural similarity index (SSIM), mean absolute error (MAE), root mean square error (RMSE), peak signal-to-noise ratio (PSNR), normalized cross-correlation, and dice similarity coefficient. …”
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Anterior Chamber Angle Evaluation following Phakic Posterior Chamber Collamer Lens with CentraFLOW and Its Correlation with ICL Vault and Intraocular Pressure by Sherif A. Eissa, Sherin H. Sadek, Mohamed W. A. El-Deeb

“…To assess intraocular pressure (IOP), lens vaulting, and anterior chamber (AC) angle width, following V4C implantable Collamer lens (ICL) procedure for myopic refractive error. Methods. A prospective case series that enrolled 54 eyes of 27 patients that were evaluated before and after V4C phakic posterior chamber Collamer lens implantation for correction of myopic refractive error. …”
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Investigation of bending angle algorithm and path planning for puncture needles in transjugular intrahepatic portosystemic shunt by Qinmei Liao, Bing Li, Xihao Hu, Xiaoyun Huang, Jiacheng Guo, Yuanzhong Zhu, Wenjing He

“…Data from 32 patients who successfully underwent TIPS procedures were retrospectively collected for clinical validation and statistical analysis. Results The error between the tip position of the puncture needle catheter modeled with Bézier curves and the actual puncture needle was 0.15 cm, while the error for the arc modeling was 0.19 cm. …”
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Construct Validation of a Multidimensional Computerized Adaptive Test for Fatigue in Rheumatoid Arthritis. by Stephanie Nikolaus, Christina Bode, Erik Taal, Harald E Vonkeman, Cees A W Glas, Mart A F J van de Laar

“…Measurement precision was excellent for the severity and impact dimensions, with more than 90% of the CAT administrations reaching a standard error below 0.32. The variability dimension showed good measurement precision with 90% of the CAT administrations reaching a standard error below 0.44. …”
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Comparison of Measurement Protocols for Internal Channels of Transparent Microfluidic Devices by Joris Kaal, Nicolas Feltin, Marc Lelong, Huabing Yin, Andrew Glidle, Kevin Romieu, Elsa Batista

“…A consistency analysis using normalized error statistics identified optical profilometry as the most reliable method, offering the lowest uncertainty and the highest consistency with nominal geometry values. …”
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Research on the cold charging performance of refrigerated truck accumulator plate based on heat pipe heat transfer by HUANG Jiexuan, WANG Qiang, HUI Xiaoyang, WANG Da, TAN Shengxuan

“…ObjectiveTo improve the cold charging efficiency of cold plate type refrigerated logistics vehicles and optimize the structural parameters of heat pipe type cold storage plate.MethodsA mathematical-physical model was established for heat pipe accumulator plate to simulate and study the cooling process of the plate under different inlet flow rates of refrigerant and heat pipe diameters, and to compare with the experimental results.ResultsThe results of the simulation study were in good agreement with the experimental results, and the average temperature error of the accumulator was 0.28 ℃ in the process of cold charging. …”
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A rolling bearing life prediction method based on multi-task gated networks by Liuyang SONG, Chuanhao ZHENG, Ye JIN, Tianjiao LIN, Changkun HAN, Huaqing WANG

“…Finally, the effectiveness is verified on the XJTU-SY bearing dataset.ResultsThe results show that, compared with classic time-series data prediction models such as Long Short Term Memory (LSTM), the multi-task gated networks prediction model has higher prediction accuracy, with the error metrics Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) improved by 62.5% and 67.81% respectively. …”
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Accuracy comparison of six intraocular lens formulas using total and standard keratometry measurements with the iolmaster 700 by Shuang Ni, Jingwen Wang, Danni Lyu, Zhe Xu, Jing-Wei Xu, Sha Zhu, Yixuan Feng, Ce Shi, Wen Xu

“…A total of 212 eyes were analyzed. The mean absolute error (MAE), standard deviation (SD) of prediction error, and the median absolute error (MedAE) were calculated for each formula. and the prediction accuracy was compared across different subgroups categorized by axial length (AL), anterior chamber depth (ACD), lens thickness (LT), and other ocular parameters. …”
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A Rare Case of Bilateral Achilles Tendon Xanthomas in a Teenager, Successfully Treated with Tendon Sparing Technique by G. A. P. K. Appuhamy, B. M. Munasinghe, L. M. Soysa, D. Nelson, P. G. P. Ranmini, W. T. Pavithra, W. M. Sajini, C. D. N. Anthony

“…Causality is believed to be due to a pathological error in the metabolism of low-density lipoprotein and their resultant accumulation, as foam cells within the tendon. …”
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Optimal load frequency control system for two-area connected via AC/DC link using cuckoo search algorithm by Gaber EL-SAADY, Alexey MIKHAYLOV, Nora BARANYAI, Mahrous AHMED, Mahmoud HEMEIDA

“…The PI parameters were tuned using the cuckoo search algorithm (CSA) to minimize the integral absolute error (IAE). A state matrix was provided, and the stability of the system was verified by calculating the eigenvalues. …”
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Bending Angle Sensor Based on Double-Layer Capacitance Suitable for Human Joint by Daisuke Goto, Yusuke Sakaue, Tatsuya Kobayashi, Kohei Kawamura, Shima Okada, Naruhiro Shiozawa

“…The hysteresis and root mean square error (RMSE) compared with the optical motion capture show hysteresis: 8.0% RMSE and 3.1° in the bending test. …”
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Stroke Prevalence in a Coastal Town on the Black Sea Coast in Turkey: Community Based Study by Cansu Köseoğlu Toksoy, Cem Bölük, Ülkü Türk Börü, Seydahmet Akın, Abdullah Yasir Yılmaz, Sanem Coşkun Duman, Mustafa Taşdemir

“…Male/female ratio was 1.1. Conclusion. The results of this study give the prevalence rate of stroke among the Turkish population living in a rural area. …”
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Clinical, radiologic, and morphological diagnosis of hypersensitivity pneumonitis by A. L. Cherniaev, E. V. Kusraeva, M. V. Samsonova, S. N. Avdeev, N. V. Trushenko, E. L. Tumanova

“…We found that the clinical error rate in the diagnosis of HP was 84.5%, among pathologists – 92%. …”
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Dynamic selection of optimal tunnel convergence prediction model for a probabilistic deformation prediction by Peng ZENG, Zhiqiang ZHANG, Tianbin LI, Hao Tang, Zulong YAN, Lubo MENG

“…Results The model was tested on 16 measurement points across 9 sections of the Baima Tunnel, achieving a mean relative error of only 3.22% between the predicted and monitored final convergence rates. …”
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The Causal Model of Public Acceptance of Genetically Modified Food: An Invariance Analysis by Longji Hu, Hui Li, Suqiu Tan, Yi Zhang

“…The test results show that the model has full invariance across gender, and only factor loading invariance has no measurement error invariance across knowledge levels. The results of this study show that the conclusion about group comparison on gender in previous studies is credible, but the reliability of the measurement of the differences between knowledge level groups needs to improve before meaningful comparison can be made.…”
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Collaborative Control of Virtual Formation Trains Based on Event Triggering Mechanism by WEI Wenjing, XIAO Baodi, YUE Lili, LI Maoqing, LIN Junting

“…By analyzing the basic concept of virtual formation trains, a dynamic model of virtual formation trains with disturbance in sections is established, and event triggering conditions are set according to the state error during the train operation using the idea of event triggering, and the distributed controller of the following train is designed. …”
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