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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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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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

“…To address these challenges, this study introduces an enhanced FL-based control strategy that incorporates fractional-order error (FOE) to improve control performance in a single-rotor wind turbine system. …”
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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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Estimation and diagnostic for single-index partially functional linear regression model with $ p $-order autoregressive skew-normal errors by Lijie Zhou, Liucang Wu, Bin Yang

“…Comprehensive simulations demonstrated EM-CALS's superiority over the two-step iterative least squares (TSILS) algorithm, achieving reductions of 1.19% in root mean square error (RMSE), 2.45% in mean square error (MSE), 38.00% in root average squared errors ($ \text{RASE}_{1} $), and 51.35% in $ \text{RASE}_{2} $, respectively, demonstrating a clear advantage in enhancing prediction accuracy. …”
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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

“…In order to solve the reduced prediction accuracy caused by insufficient training samples, data imbalance and improper feature selection of the intelligent error prevention system in the power grid, an intelligent errorproof logic multi-factor cooperative active optimization based on a knowledge base and generative adversarial network was designed. …”
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Impacts of Wind Assimilation on Error Correction of Forecasted Dynamic Loads from Wind, Wave, and Current for Offshore Wind Turbines by Jing Zou, Shuai Yang, Xiaolei Liu, Hang Wang, Lu Liu, Xingsen Guo, Hong Zhang, Zhijin Qiu, Zhipeng Gai

“…Additionally, atmospheric assimilation mitigated the reduction in temporal variability caused by forecasting error correction, preventing a decrease in the standard deviation of aerodynamic load forecasts. …”
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Effectiveness of Coaching Interventions using Grammarly Software and Plagiarism Detection Software in Reducing Grammatical Errors and Plagiarism of Undergraduate Researches by Genaro V. Japos

“…The results showed significant reductions in the occurrence of the grammar errors indicating that the coaching interventions were effective. …”
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Grid-Connected Harmonic Suppression Strategy Considering Phase-Locked Loop Phase-Locking Error Under Asymmetrical Faults by Yanjiu Zhang, Shuxin Tian

“…By employing the three-dimensional membership framework of Vague sets—comprising true, false, and hesitation degrees—phase-locked errors are characterized, and dynamic, real-time PLL proportional-integral (PI) parameters are derived. …”
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Dynamic Error Modeling and Predictive Compensation for Direct-Drive Turntables Based on CEEMDAN-TPE-LightGBM-APC Algorithm by Manzhi Yang, Hao Ren, Shijia Liu, Bin Feng, Juan Wei, Hongyu Ge, Bin Zhang

“…Validation results demonstrate substantial performance improvements, with compensated positioning error ranges reduced from [−31.83″, 41.59″] to [−15.09″, 12.07″] (test set) and from [−22.50″, 9.15″] to [−8.15″, 8.56″] (extrapolation test set), corresponding to standard deviation reductions of 71.2% and 61.6%, respectively. …”
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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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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

“…This work proposes an energy-efficient offset reduction technique for dynamic comparators. An additional capacitor and four transistors are used to minimize the effect of threshold mismatch by dynamically sampling the common mode and differential signals. …”
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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

“…In this paper we describe an efficient noise reduction method. EEMD is used to decompose a signal into several intrinsic mode functions (IMFs). …”
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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

“…Experimental results demonstrate that data clustering with dimensionality reduction can improve the performance of baseline models. …”
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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

“…So, accurately positioning and controlling the rigid-flexible mechanical arms could be difficult. Therefore, a model reduction method of rigid-flexible mechanical arms based on the approximate inertial manifold is put forward. …”
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