Model-based iterative reconstruction with adaptive regularization for artifact reduction in electron tomography by Singanallur Venkatakrishnan, Obaidullah Rahman, Lynda Amichi, Jose D. Arregui-Mena, Haoran Yu, David A. Cullen, Amirkoushyar Ziabari

“…In this paper, we present a two-stage algorithm based on metal artifact reduction, utilizing model-based iterative reconstruction methods with adaptive adjustment of regularization parameters. …”
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Identification and evaluation of human errors of physicians at emergency ward of an educational hospital in Semnan city using SHERPA technique by A Mazloumi, A Kermani, J NaslSeraji, F GhasemZadeh

“…Therefore, current study was conducted to identify and evaluate human error among physicians working at emergency ward using Systematic Human Error and Reduction Prediction Approach (SHERPA) technique in an educational hospital in Semnan, Iran. …”
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Evaluating the Impact of Smart Infusion Pump Interoperability on Reducing Medication Administration Errors: A Systematic Literature Review by Borrelli EP, Lucaci JD, Wilson NS, Taneja A, Weiss M, Beer I

“…For the primary outcome of assessing medication administration errors impactable by interoperability, interoperability implementation resulted in a 15.4% to 54.8% reduction in specific medication administration errors. …”
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Reduced Gaussian Kernel Filtered-x LMS Algorithm with Historical Error Correction for Nonlinear Active Noise Control by Jinhua Ku, Hongyu Han, Weixi Zhou, Hong Wang, Sheng Zhang

“…Then, we analyze the mean weight behavior and computational complexity of the RGKxLMS, demonstrating its reduced complexity compared to existing kernel filtering methods and its mean stable performance. To further enhance noise reduction, we also develop the historical error correction RGKxLMS (HECRGKxLMS) algorithm, incorporating historical error information. …”
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A Coupling Error Compensation Approach Concerning Constrained Space Coordinate Precision of a Heavy-Load Longitudinal and Transversal Swing Table by Manxian Liu, Rui Bao, Shuo Li, Liang Ji, Suozhuang Li, Xiaoqiang Yan, Wei Li

“…In this paper, an accurate error compensation method based on geometric parameter correction and process optimization is proposed for the problem of coupling error in a heavy-load longitudinal and transversal swing table (HLTST) under space constraints, which makes it difficult to control the position efficiently and accurately. …”
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Exposing Optimal Feature Sets for Enhancing Machine Learning Performance by Hiba Mohammed Al-Marwai, Ghaleb H. Al-Gaphari, Mohammed Mohammed Zayed

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Multigoal-oriented a posteriori error control for heated material processing using a generalized Boussinesq model by Beuchler, Sven, Endtmayer, Bernhard, Lankeit, Johannes, Wick, Thomas

“…Therein, error reductions and effectivity indices are consulted to establish the robustness and efficiency of our framework.…”
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PAPR Reduction Approach Based on Channel Estimation Pilots for Next Generations Broadcasting Systems by Anh-Tai Ho, Jean-François Helard, Youssef Nasser, Yves Louet

“…Instead of using dedicated pilots for PAPR reduction as with tone reservation (TR) method selected by the DVB-T2 standard, we propose to use existing pilots used for channel estimation. …”
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Anterior insular cortex glutamate-glutamine (Glx) levels predict general psychopathology via heightened error sensitivity by Haeorum Park, Minchul Kim, Minchul Kim, Jaejoong Kim, Jaejoong Kim, Sunghwan Kim, Sunghwan Kim, Bumseok Jeong

“…Converging evidence links elevated glutamate + glutamine (Glx) in fronto-insular regions to stress reactivity; however, it is unknown whether AIC Glx relates to a transdiagnostic general psychopathology factor (G-score) or to the tendency to overweight prediction errors during learning. We therefore combined functional MRS (fMRS) with reinforcement-learning modeling to test whether (i) baseline AIC Glx predicts the G-score derived from bifactor analysis of PHQ-9, GAD-7, and STAI-X1, and (ii) task-evoked Glx changes track individual differences in error sensitivity during gain- and loss-based learning.MethodsFifty-six healthy adults (22 ± 2 yr, 16 women) completed the questionnaires and performed a two-armed bandit task (40 loss then 40 gain trials) while single-voxel semi-LASER spectra were acquired from AIC and medial prefrontal cortex (mPFC) at rest and during each block. …”
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Joint Sparse Local Linear Discriminant Analysis for Feature Dimensionality Reduction of Hyperspectral Images by Cong-Yin Cao, Meng-Ting Li, Yang-Jun Deng, Longfei Ren, Yi Liu, Xing-Hui Zhu

“…Finally, extensive experiments conducted on three hyperspectral image (HSI) datasets demonstrated that the performance of JSLLDA surpassed that of some related state-of-the-art dimensionality reduction methods.…”
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Experimental and Numerical Study of Shape Memory Alloys for Vibration Amplitude Reduction in Mechanical Structures by Hyginus Chidiebere Onyekachi Unegbu, Danjuma Saleh Yawas, Bashar Dan-asabe, Abdulmumin Akoredeley Alabi

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Impacts of inter-train distances on aerodynamic drag reduction in heavy-haul train groups by LYU Jun, XIANG Tao, SONG Zongying, GAO Guangjun

“…In the subsequent grid independence verification, three gridding methods were selected for simulations: coarse, medium, and fine grids. …”
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Validation Study on Iatrogenic Nerve Damage Reduction Using Augmented Reality on Elbow Phantom by Giacomo Riberi, MD, Antonio Cangelosi, MSc, Paolo Titolo, MD, Elisa Dutto, MD, Massimo Salvi, PhD, Filippo Molinari, PhD, Luca Ulrich, PhD, Marco Agus, PhD, Corrado Calì, PhD

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Smartphone screen time reduction improves mental health: a randomized controlled trial by Christoph Pieh, Elke Humer, Andreas Hoenigl, Julia Schwab, Doris Mayerhofer, Rachel Dale, Katja Haider

“…The aim of this study is to investigate the effects of smartphone screen time reduction on mental health indicators. Methods This non-blinded, parallel randomized controlled trial (RCT) was performed to investigate the impact of a 3-week screen time reduction to ≤ 2 h/d in healthy students on stress (PSQ), well-being (WHO-5), depressive symptoms (PHQ-9), and sleep quality (ISI) at baseline (t0), post-intervention (t1), and at follow-up (t2 = 6 weeks after t1). …”
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Management of power in single rotor wind turbine systems using fuzzy controller based on fractional order error approaches by Habib Benbouhenni, Adil Yahdou, Z. M. S. Elbarbary, Abdelkadir Belhadj Djilali, Ilhami Colak, Saad F. Al-Gahtani

“…The comparative analysis reveals that the proposed method significantly reduces energy fluctuations and harmonic distortion in the stator current, achieving a 40.85% reduction in the first test and a 34.21% reduction in the second test relative to traditional DPC-FL control. …”
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Multi‐timescale optimal scheduling of microgrids for generating new energy output scenarios based on correction error sampling intervals by Ruimiao Wang, Xiaowei Fan, Haifeng Yang, Guangde Dong, Yi Yang, Jingang Wang

“…Abstract Microgrid can realize energy saving and emission reduction and multi‐energy complementation, but the fluctuation of renewable energy output and the error of day‐ahead scheduling will threaten the stability of microgrid operation. …”
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“Virtual Lateral Wall” Technique to Overcome Nail Entry Pathway Errors and Optimize Success of Intramedullary Nailing in Pertrochanteric Fractures by Qiang Guo, Yifu Tang, Ling Luo

“…ABSTRACT Objective The use of intramedullary implants for the treatment of pertrochanteric fractures is well‐established. Nail entry pathway error is a common intraoperative challenge, particularly in pertrochanteric fractures with unstable greater trochanter fragment. …”
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Intelligent error-proof logic multi-factor cooperative active optimization based on knowledge base and generative adversarial network by Jinming Liu, Sheng Yang, Dunlin Zhu, Tianyun Luo, Jinglong He, Shengyuan Li

“…Experiments show that the design method has a real-time data refresh response time of 80 to 85 ms, a peak accuracy of 98.66% and a minimum electrical loss rate of 0.42%.…”
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Modeling Analysis of the Relationship between Adolescent Aerobic Exercise and Obesity Reduction Based on Deep Learning by Peng Mu

“…In order to explore the modeling analysis of the relationship between adolescent aerobic exercise and obesity reduction, the relationship modeling method of deep learning algorithm is proposed. …”
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Grid-Connected Harmonic Suppression Strategy Considering Phase-Locked Loop Phase-Locking Error Under Asymmetrical Faults by Yanjiu Zhang, Shuxin Tian

“…These values correspond to relative reductions of 13.6%, 33.7%, and 80.87% compared to conventional control strategies, thereby confirming the efficacy of the proposed method in minimizing grid-connected harmonic distortions.…”
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