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

“…Conclusions The study highlights mental health improvements through smartphone screen time reduction. Three weeks of screen time reduction showed small to medium effect sizes on depressive symptoms, stress, sleep quality, and well-being. …”
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Order Reduction Adaptive Current Tracking Control with Proportional–Integral-Type Filter for MAGLEV Applications by Jae Kyung Park, Dongpin Kim, Yonghun Kim, Seok-Kyoon Kim

“…The proposed adaptive controller robustly tracks the coil current to its desired trajectory, regulating the target position of the magnetic levitation (MAGLEV) systems under the modeling errors and load variations. This paper makes the following two contributions. …”
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CORRIGENDUM: “EVALUATION OF WEIGHT REDUCTION EFFICACY AND SAFETY OF SIBUTRAMIN-CONTAINING DRUGS IN PATIENTS WITH ALIMENTARY OBESITY” by T. Yu. Demidova, M. Ya. Izmailova, S. E. Ushakova, K. Ya. Zaslavskaya, A. A. Odegova, V. V. Popova, M. E. Nevretdinova, P. A. Bely

“…In the published article “Evaluation of weight reduction efficacy and safety of sibutramin-containing drugs inpatients with alimentary obesity”, there was an error in the author list. …”
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Modeling Analysis of the Relationship between Adolescent Aerobic Exercise and Obesity Reduction Based on Deep Learning by Peng Mu

“…On the overall level, the average modeling error of this method is about 0.053%, while the average of the traditional method is about 0.186%, indicating that the method can reduce the error control within a reasonable range. …”
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Optimization Design of the Two-Stage Reduction Micro-Drive Mechanism Based on Particle Swarm Algorithm by Na Zhang, Dongmei Wang, Kai Li, Kaiyang Wei, Hongyu Ge, Manzhi Yang

“…The analysis results demonstrated that the mechanism met the design requirements in terms of strength and dynamic properties, with a maximum error of 9.02% and a maximum kinematic error of 0.0267 μm. …”
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Noise Reduction Evaluation of Multi-Layered Viscoelastic Infinite Cylinder under Acoustical Wave Excitation by M.R. Mofakhami, H. Hosseini Toudeshky, Sh. Hosseini Hashemi

“…It is also shown that the noise reduction obtained for constant viscoelastic material property is subjected to some errors in the low frequency range with respect to those obtained for the frequency dependent viscoelastic material.…”
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Three-Dimensional Path Planning Optimization for Length Reduction of Optimal Path Applied to Robotic Systems by Ilias Chouridis, Gabriel Mansour, Apostolos Tsagaris

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Load Reduction Control Technology of Large-scale Wind Turbine Based on Individual Pitch Control by LIU Hongwen, WAN Yubin, LIU Chunxiu, DU Jiajia, WANG Dian, JIANG Tao

“…In order to reduce the imbalance load of large wind turbine during operation due to factors such as wind shear, tower shadow, turbulence and yaw error, a load reduction control technology based on individual pitch control is proposed. …”
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Autonomous surgical planning of mandibular angle reduction based on anatomical landmarks and osteotomy plane detection by Zhenggang Cao, Yichi Zhang, Junlei Hu, Gang Chai, Li Lin, Le Xie

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A Dynamic Offset Reduction Technique to Mitigate the Effect of Threshold Mismatch in Energy Efficient Comparators by Bibhudutta Satapathy, Amandeep Kaur

“…The offset is also measured for different die samples and die-to-die variations corresponding to five samples are reported. The maximum error standard deviation observed for different die samples is 0.4 mV.…”
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A Data-Driven Noise Reduction Method and Its Application for the Enhancement of Stress Wave Signals by Hai-Lin Feng, Yi-Ming Fang, Xuan-Qi Xiang, Jian Li, Guan-Hui Li

“…Furthermore, the optimum threshold in this approach can be derived from the signal itself using the consecutive mean square error (CMSE). The method is fully data driven, and it requires no prior knowledge of the target signals. …”
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Stability Analysis of Slope with Multiple Sliding Surfaces Based on Dynamic Strength-Reduction DDA Method by Shuhong Wang, Chengjin Zhu, Pengyu Wang, Zishan Zhang

“…The results show that when the displacement threshold is set to 1 mm, the error between the DSR-DDA results and the theoretical solution is within 0.5%, which satisfies the calculation requirements. …”
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Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting by Hyun-Jung Bae, Jong-Seong Park, Ji-hyeok Choi, Hyuk-Yoon Kwon

“…As a result, the prediction accuracy of the proposed method outperforms those of the existing methods by 1.01–1.76 times for summer data and by 1.03–1.36 times for winter data in terms of mean absolute percentage error (MAPE).…”
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Approximate Inertial Manifold-Based Model Reduction and Vibration Suppression for Rigid-Flexible Mechanical Arms by Lisha Xu, Hua Deng, Chong Lin, Yi Zhang

“…Given the reduced-order rigid-flexible mechanical arms dynamic model, dynamic response analysis is conducted to optimize the target position error and end residual vibration. A limited number of sinusoidal signals approximately combine the input signal, by using the particle swarm optimization algorithm to optimize the input signal, and the amplitude of the sinusoidal signal is corrected. …”
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Numerical and Experimental Analysis of Base Cavity and Windshield Angle for Aerodynamic Drag Reduction of a Bus by Daniel Hailu Aseba, Ramesh Babu Nallamothu, Abraha Kahsay

“…The drag coefficient results revealed an average error percentage of 6.09% between the CFD and wind tunnel tests. …”
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Model order reduction of boiler system using nature-inspired metaheuristic optimization of PID controller by Anurag Singh, Shekhar Yadav, Nitesh Tiwari, Dinesh Kumar Nishad, Saifullah Khalid

“…Experimental results demonstrate that the PSO-optimized PID controller achieves a 20% reduction in settling time and a 14.68% improvement in Integral Square Error (ISE) compared to conventional tuning methods. …”
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AI-based biplane X-ray image-guided method for distal radius fracture reduction by Qing Zha, Qing Zha, Sizhou Shen, Ziyang Ma, Ziyang Ma, Manqiu Yu, Hongzheng Bi, Hongbo Yang, Hongbo Yang

“…BackgroundIn the course of manual reduction of distal radius fractures, many doctors rely on tactile perception to assess the displacement of the fracture. …”
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Self-learning type-2 fuzzy systems with adaptive rule reduction for time series forecasting by Abdulwhab Alkharashi, Gaganjot Kaur, Hadeel Alsolai, Hatim Dafaalla, Somia Asklany, Othman Alrusaini, Ali Alqazzaz, Menwa Alshammeri

“…We present a Self-Learning Type-2 Fuzzy System with adaptive rule reduction that optimizes the rule base as forecast accuracy begins to deteriorate after adaptation. …”
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Estimating timber assortment reduction and sawlog proportions with the application of harvester measurements and open big geodata by Ville Vähä-Konka, Lauri Korhonen, Kalle Kärhä, Matti Maltamo

“…Our results showed that the root mean square error (RMSE) values associated with sawlog volumes of Norway spruce (Picea abies (L.) …”
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