OPTIMIZATION OF CONFIGURATION OF INDUSTRIAL ETHERNET NETWORKS DURING DESIGN OF THE AUTOMATED PRODUCTION MANAGEMENT SYSTEM by V. A. Kholopov, E. N. Kashirskaya, M. V. Gusev

“…The results of using the method are: reduction of the number of errors at the working project creation stage; design process structuring; clear requirements formalization; saving man hours of qualified employees in drawing up topologies, specifications and other project documents; reduction of the system cost.…”
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Identifying Factors for Creating Healing Environments by Ghassem Mottalebi, Ladan Vojdanzadeh

“…This can also help increase staff confidence and efficiency leading to a reduction in prescription errors and unwanted spread of infections. …”
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Monitoring Method and Performance Analysis of Climbing Scaffolds in Super High-Rise Buildings Based on BeiDou/GNSS Technology by Pengfei Wang, Gen Liu, Jian Wang, Ping Zhu, Jiaqi Guo, Jingxuan Zhang, Heyu Zhang, Yijia Liu

“…Experimental results demonstrated that the system effectively reduced high-frequency noise and gross errors, achieving root mean square error (RMSE) reductions of 51.4% in the E direction, 45.5% in the N direction, and 49.6% in the U direction. …”
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A Novel Multi-Sensor Nonlinear Tightly-Coupled Framework for Composite Robot Localization and Mapping by Lu Chen, Amir Hussain, Yu Liu, Jie Tan, Yang Li, Yuhao Yang, Haoyuan Ma, Shenbing Fu, Gun Li

“…Specifically, the average RMSE ATE (Root Mean Square Error of absolute trajectory Error) improved by 23% to 39%, with reductions from 0.006 to 0.013. …”
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Leveraging social science research to combat poverty and inequality in the Middle East - a pathway to achieving SDGs 1 and 10 by Chadi Azmeh, Hiba Darwich

“…The study analyzes data from 15 Middle Eastern countries from 2000 to 2023 using a panel regression model based on Panel-Corrected Standard Errors (PCSE) and Feasible Generalized Least Squares (FGLS) techniques. …”
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Illuminating the impact of economic policy uncertainty, renewable energy, and economic growth on environmental sustainability by Mohammed Albassam, Muhammad Aslam, Azhar Ali Janjua

“…The study also estimates the Driscoll–Kraay standard errors, panel corrected standard errors (PCSE), and feasible generalized least squares (FGLS), and uses the Dumitrescu–Hurlin panel Granger causality test. …”
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Finite Element Dynamic Modeling of Smart Structures and Adaptive Backstepping Control by Zhipeng Xie, Dachang Zhu, Zhenzhang Liu, Yun Long, Fangyi Li

“…This paper proposes a modeling method that combines finite element unit bodies and orthogonal characteristic mode reduction to construct an accurate dynamic model of the smart structure and design an adaptive backstepping controller. …”
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Provide a Solution Based on Teacher and Student Learning Algorithm to Reduce Regression Test Cases by Mahmood Deypir, Amirhossein Mohammadpour

“…The aim of selecting test items is to choose a subset that has the potential to detect errors due to changes within the software. In other words, the purposes of test selection methods is to reduce the number of test cases after changing the code and focus on identifying the modified parts of the program. …”
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Data Quality Improvement Method for Power Equipment Condition Based on Stacked Denoising Autoencoders Improved by Particle Swarm Optimization by JI Rong, HOU Huijuan, SHENG Gehao, ZHANG Lijing, SHU Bo, JIANG Xiuchen

“…However, equipment failures and personnel errors result in dirty data, having a negative effect on data quality and subsequent analysis results. …”
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An Adaptive CNN-Based Approach for Improving SWOT-Derived Sea-Level Observations Using Drifter Velocities by Sarah Asdar, Bruno Buongiorno Nardelli

“…We compare our method to existing filtering techniques, including a U-Net-based model and a variational noise-reduction filter. Our adaptive-filtering CNN produces accurate velocity estimates while preserving small-scale features and achieving a substantial noise reduction in the spectral domain. …”
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Hybrid energy system optimization integrated with battery storage in radial distribution networks considering reliability and a robust framework by Mohammad Javad Aliabadi, Masoud Radmehr

“…The robust optimization results show that in the 33-bus network, the system remains resilient to prediction errors under the worst-case uncertainty scenario, with a 44.53% reduction in production and a 22.18% increase in network demand for a 30% uncertainty budget. …”
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Adaptive neuro-fuzzy inference system optimization of natural rubber latex modified concrete’s mechanical Properties by Efiok Etim Nyah, David Ogbonna Onwuka, Joan Ijeoma Arimanwa, George Uwadiegwu Alaneme, G. Nakkeeran, Ulari Sylvia Onwuka, Chinenye Elizabeth Okere

“…The ANFIS model exhibited strong predictive performance, with a root mean square error (RMSE) of 1.5434, mean absolute percentage error (MAPE) of 2.89%, and R2 of 0.9795 for the modulus of elasticity. …”
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Generatively optimised compact 3-DoF spherical parallel manipulator with tightly integrated actuators by Kartikeya Walia, William Navaraj, Philip Breedon

“…Performance evaluation demonstrated high precision, with mean positional errors of 0.0291 mm–0.2778 mm and orientation errors between 0.0562° and 0.3561°. …”
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Reducing unnecessary blood tests in elderly care: a quality improvement project by Anavi Prakash, Theik Oo, Soe Aye, Jonathan Cullis

“…Although there was no significant reduction in the absolute number of blood tests and sets ordered, the number of targeted blood tests containing one set only increased from 4 to 13 (p=0.01). …”
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Problem of Ametropia in Children in Russian Federation by El Yu. Markova, L. Yu. Bezmel’nitsyna, O. V. Kurganova, N. A. Pron’ko, L. V. Venediktova

“…With regard to non-medical costs, we established that a reduction the frequency of courses in vision office and operational treatment results in a reduction in payments to parents on temporary incapacity sheets.Conclusion: the optimal age for diagnostics of refractive errors in up to 1year from both clinical and economic perspective.…”
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Dynamic Surgical Prioritization: A Machine Learning and XAI-Based Strategy by Fabián Silva-Aravena, Jenny Morales, Manoj Jayabalan, Muhammad Ehsan Rana, Jimmy H. Gutiérrez-Bahamondes

“…Additionally, our methodology achieves a reduction in waiting times by up to 26%, demonstrating its effectiveness in optimizing surgical prioritization. …”
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Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

“…This study proposes a U-Net model based on double dimensionality reduction and channel attention gating mechanism, namely the DCU-Net model for oncological image segmentation. …”
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Regulatory T Cell Responses in Participants with Type 1 Diabetes after a Single Dose of Interleukin-2: A Non-Randomised, Open Label, Adaptive Dose-Finding Trial. by John A Todd, Marina Evangelou, Antony J Cutler, Marcin L Pekalski, Neil M Walker, Helen E Stevens, Linsey Porter, Deborah J Smyth, Daniel B Rainbow, Ricardo C Ferreira, Laura Esposito, Kara M D Hunter, Kevin Loudon, Kathryn Irons, Jennie H Yang, Charles J M Bell, Helen Schuilenburg, James Heywood, Ben Challis, Sankalpa Neupane, Pamela Clarke, Gillian Coleman, Sarah Dawson, Donna Goymer, Katerina Anselmiova, Jane Kennet, Judy Brown, Sarah L Caddy, Jia Lu, Jane Greatorex, Ian Goodfellow, Chris Wallace, Tim I Tree, Mark Evans, Adrian P Mander, Simon Bond, Linda S Wicker, Frank Waldron-Lynch

“…Primary analysis of the evaluable population (n = 39) found that the optimal doses of aldesleukin to induce 10% and 20% increases in Tregs were 0.101 × 106 IU/m2 (standard error [SE] = 0.078, 95% CI = -0.052, 0.254) and 0.497 × 106 IU/m2 (SE = 0.092, 95% CI = 0.316, 0.678), respectively. …”
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The CoDiNOS trial protocol: an international randomised controlled trial of intravenous sildenafil versus inhaled nitric oxide for the treatment of pulmonary hypertension in neonat... by Anne Greenough, Thomas Schaible, Neil Patel, Dick Tibboel, Arno van Heijst, Theodore Dassios, Joost van Rosmalen, Viviana Arreo, Yogen Singh, Karel Allegaert, Suzan Cochius-den Otter, Florian Kipfmueller, Maria Dolores Elorza, Ana Sanchez, Leopoldo Martinez, Carlos Labrandero, Pertierra Cortada, Jordi Clotet Caba, Marta Aguar, Ana Gimeno, Raquel Escrig, Irma Capolupo, Pietro Bagolan, Fabrizio Ciralli, Genny Raffaeli, Giacomo Cavallaro, Valentina Condò, Paul D. Losty, Marie Horan, Nimish V. Subhedar, Emma E. Williams, Jennifer B. Brandt, Alexandra Kreissl, Berndt Urlesberger, Carmen Mesas Burgos, Björn Frenckner, Björn Larrson, Carla Pinto, Joana Saldaha, Anne Debeer, Anne Smits, Ragnhild Emblem, Richard Keijzer, Yassar Elsayed, David Tingay, Ulrike Kraemer

“…Different therapies are still mainly based on ‘trial and error’. Inhaled nitric oxide (iNO) is often the drug of first choice. …”
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EU-GAN: A root inpainting network for improving 2D soil-cultivated root phenotyping by Shangyuan Xie, Jiawei Shi, Wen Li, Tao Luo, Weikun Li, Lingfeng Duan, Peng Song, Xiyan Yang, Baoqi Li, Wanneng Yang

“…Compared with other methods, our approach significantly improves the recall rate from 17.35 % to 35.75 % on the test dataset of 122 cotton root images, revealing improved inpainting capabilities. The trait error reduction rates (TERRs) for the root area, root length, convex hull area, and root depth are 76.07 %, 68.63 %, 48.64 %, and 88.28 %, respectively, enabling a substantial improvement in the accuracy of root phenotyping. …”
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