Five Strategies for Efficient and Effective Training of Japanese Resident Physicians Under the Japanese Work Style Reform by Nishizawa T, Ishizuka K, Miyagami T, Kondo K, Takai S, Fukushima K, Katto D, Nishizaki Y, Shimizu T

“…However, studies indicate that excessive DH is associated with reduced sleep, worsened mental health, and increased risk of medical errors without significant improvement in clinical competence. …”
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MODELLING OF STRESS STATE OF DENTAL HARD TISSUES WHILE CARIOUS CAVITIES OF I CLASS RESTORATION by Yu.V. Lakhtin, Yu.V. Smeyanov, B.V. Nishta

“…It concerns technical errors during treatment, methods of forming carious cavities. …”
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CRIM-negative infantile Pompe disease, long-term observation of the effect of enzyme replacement therapy: a clinical case by D. R. Sabirova, D. I. Sadykova, A. A. Kucheryavaya, A. A. Kashina, L. A. Sabirova

“…Long-term observation of the effect of enzyme replacement therapy brought positive results in the form of new motor skills, decreased content of intracellular enzymes and natriuretic peptide, reduction of myocardial hypertrophy of the left and right ventricles. …”
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Surrogate-based model parameter optimization in simulations of the West African monsoon by M. Fischer, P. Knippertz, C. Proppe

“…To further enhance the accuracy of climate simulations and potentially improve weather predictions, it is crucial to prioritize the refinement of the overall physical models, including the reduction in inherent structural errors, rather than solely adjusting the uncertain parameters in existing model parametrizations. …”
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Interfacial Failure in Flexible Pipe End Fittings: DIC and Cohesive Zone Modeling for Defect Analysis by Tao Zhang, Qingzhen Lu, Shengjie Xu, Yuanchao Yin, Jun Yan, Qianjin Yue

“…DIC captured real-time strain evolution and crack propagation, validating strain concentrations up to 3.2 at defect edges, while CZM simulations achieved high accuracy (errors: 3.0–7.2%) in predicting failure loads. Critical thresholds for λ (λ < 0.025 for negligible impact; λ > 0.05 requiring defect control or high-toughness adhesives) were established, providing actionable guidelines for manufacturing optimization and adhesive selection. …”
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Conventional scan body vs. scan bodies with auxiliary geometric devices: an in vitro study for edentulous full-arch implant impressions by Francesco Gianfreda, Carlo Raffone, Mirko Martelli, Alberto Pitino, Vito Carlo Alberto Caponio, Patrizio Bollero

“…The AGD was used to reduce positional errors during the scan process. Data were processed using Exocad and GOM Inspect Professional software, aligning scan body library files with mesh data using a best-fit algorithm. …”
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Effect of Aerobic Training on Anxiety, Activities of Daily Living and Visual Motor Skills Performance in Children with Autism: A Randomised Controlled Trial by Anju Dhingra, Aarti Gupta, Aditi

“…There was a significant reduction in the SCARED scores in Group A compared to Group B (p-value=0.004) after aerobic exercises. …”
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Operational cost savings: Blockchain-driven back-office automation and syndicated loan growth in U.S. banks by Maksym Ivasenko, Serhiy Frolov, Mykhaylo Heyenko, Nataliia Kolodnenko, Viktoriia Datsenko

“…Using the Autoregressive Distributed Lag Model (ARDL) bounds testing approach, evidence of cointegration is found and long-run elasticity is estimated: a steady 1% increase in the volume of syndicated loans reduces the operating expense ratio by 0.147%, which means that almost doubling the volume of loans in the resulting sample leads to approximately 15% structural reduction in the burden on banks’ back offices. The associated error correction model gives a short-run elasticity of –0.276 (i.e., a 1% quarterly shock to loan volume reduces expenses by 0.276 p.p.) and a 47% correction rate to a new equilibrium. …”
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MINIMIZATION OF RISK OF THE ERRONEOUS DECISION IN THE ASSESSMENT OF THE IMPORTANCE OF STATISTICAL RELATIONS OF TECHNICAL AND ECONOMIC INDICATORS OF THE OBJECTS OF ELECTRIC POWER SY... by E. M. Farhadzadeh, A. Z. Muradaliyev, Yu. Z. Farzaliyev, T. K. Rafiyeva, S. A. Abdullayeva

“…Traditionally, increase of reliability of the decision is reached by reduction of a Type I error. Usually it is accepted to be equal to 5%, occasionally – to 1%, and at researches – even to 0.5 %. …”
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DR Loss-Free Dithering-Based Digital Background Linearity Calibration for SAR-Assisted Multi-Stage ADCs With Digital Input-Interference Cancellation by Lizhen Zhang, Bo Gao, Kun-Woo Park, Kent Edrian Lozada, Raymond Mabilangan, Hyeongjin Kim, Jianhui Wu, Seung-Tak Ryu

“…By comparing the cases with and without the proposed IIC technique, a <inline-formula> <tex-math notation="LaTeX">$50\times $ </tex-math></inline-formula> reduction in convergence cycle could be achieved. The proposed calibration technique can be utilized to overcome the inherent DAC mismatch and residue gain errors to implement high-linearity ADCs, such as SAR-assisted ADCs in many different applications.…”
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A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures by Shi Zheng, Lifen Lin, Wufeng Mao, Yanhong Wang, Jinsong Liu, Yili Yuan

“…The hybrid F₃, incorporating Dynamic Time Warping (DTW) for elastic time alignment and feature penalties for engineering-critical metrics, achieved superior performance with a 74% reduction in the prediction error (mean MAE = 1.0 °C) and <2% parameter identification errors, resolving the phase mismatches inherent in F₂ and avoiding F₁’s prohibitive computational costs (498 FEM calls). …”
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Hole-Assisted Graded-Index Four-LP-Mode Fiber With Low Differential Mode Group Delay Over C+L Band by Jiajia Zhao, Borui Li, Ming Tang, Songnian Fu, Perry Ping Shum, Deming Liu

“…A tolerance analysis against manufacturing errors has been discussed, and we further propose a self-managed low DMGD transmission line solution with the controllable air-hole size.…”
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A clinical prediction model for blood pressure changes after renal denervation in patients with resistant hypertension by Yishuan Zhang, Ruiqing He, Chen Chen, Hong Zhang, Lingyan Li, Rongxue Xiao, Shuangyu Chen, Shuyi Wu, Zongjun Liu, Junqing Gao

“…In the prediction model on SBP change, compared to the OLS model, the Ridge regression exhibited lower prediction errors [mean absolute error [MAE]: 6.40 vs. 6.95; mean squared error [MSE]: 65.58 vs. 76.15] and a higher R² (0.79 vs. 0.72). …”
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Evaluating compliance with proper application of compression stockings in surgical patients: a clinical audit by Merin Annassery, Aravind Thayyil Raman

“…Materials and Methods: The objectives of the study were to evaluate the proportion of patients wearing stockings correctly, identify the most common application errors, assess staff knowledge and practices regarding sizing and fitting, and gauge patient understanding and educational needs. …”
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A short-arc hardware delay estimation method for inter-satellite links to improve BDS-3 precise orbit determination by Zhouming Yang, Yunbin Yuan, Bingfeng Tan

“…Comparisons with L-band orbits confirmed an approximate 28.2% reduction in the 3D RMS of orbit discrepancies, from 26.5 cm to 19.0 cm. …”
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Determination of Total Iron in Carbon-Containing Iron Ore by Perchloric Acid-Assisted Digestion and Potassium Dichromate Titration by Shiyuan REN, Yunfeng WANG, Chunying GAO, Nan WANG, Lin WANG, Zaizheng DONG

“…Although the traditional method of roasting to remove carbon before analysis can be used to determine the total iron content in iron ore, this method has large errors, a long analysis cycle (2−4h), and high energy consumption. …”
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A joint three-plane physics-constrained deep learning based polynomial fitting approach for MR electrical properties tomography by Kyu-Jin Jung, Thierry G. Meerbothe, Chuanjiang Cui, Mina Park, Cornelis A.T. van den Berg, Stefano Mandija, Dong-Hyun Kim

“…Crucially, in-vivo application of the proposed method showed that the method generalizes well to in-vivo data, without introducing significant errors or artifacts. This generalization makes the presented method a promising candidate for use in clinical applications.…”
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Learning Curves in Laparoscopic Training: Comparative Analysis of Two Training Models by Layla Settaf-Cherif, Adam Ostrowski, Anmol Khan, Katarzyna Malinowska, Oliwia Kwiatkowska, Łukasz Paszylk, Jan Adamowicz, Tomasz Drewa

“…Conclusions: Distributed training demonstrated superiority in skill retention, error reduction, and consistent task performance, especially in tasks requiring precision. …”
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Replication of a GWAS signal near HLA-DQA2 with AML using a disease-only cohort and external population-based controls by Rose Laflamme, Véronique Lisi, Josée Hébert, Guy Sauvageau, Sébastien Lemieux, Vincent-Philippe Lavallée, Guillaume Lettre

“…Because genotypes were generated using different technologies in the 2 data sets (eg, low- vs high-coverage whole-genome sequencing), we applied stringent quality-control filters to minimize type 1 errors. We showed, using data reduction methods (eg, principal component analysis and uniform manifold approximation and projection), that our approach successfully integrated the Leucegene and CaG genetic data. …”
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Solar radiation estimation in West Africa: impact of dust conditions during the 2021 dry season by L. Clauzel, S. Anquetin, C. Lavaysse, G. Bergametti, C. Bouet, C. Bouet, G. Siour, R. Lapere, B. Marticorena, J. Thomas

“…The dust plume caused an average of 18 % reduction in surface solar irradiance during the event. …”
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