Medium-term Results of Body Balance Trainings in Primary School-Aged Children with Generalized Joint Hypermobility and Symptomatic Mobile Flat Foot: Cohort Study by Alena Yu. Dimitrieva, Vladimir M. Kenis

“…Moreover, children of third and fourth groups have shown improvement in parameters regarding the shape and position of the feet by average of 1.3–1.7 times higher compared to the parameters of the feet of children performing standard complex of rehabilitation exercises (p = 0.036).Conclusion. …”
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An Identification Method of Polarization Modulation for Ship and Combined Corner Reflector Based on Civil Marine Radar by Di ZHU, Fulai WANG, Chen PANG, Yongzhen LI

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Outcome analysis and decision tree in the management of obliterated non-traumatic anterior urethral strictures: a case series by RAJIV KORE

“…Seven management categories and their management decision tree are described. The average follow-up was 34 months (IQR 12–58). Overall average symptom score, flow rate and PVR improved from 21 to 7, 6 ml/s to 19 ml/s and 210 ml to 20 ml, respectively. …”
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Research on license plate recognition based on graphically supervised signal-assisted training by Dianwei Chi, Zehao Jia, Lizhen Liu

“…Background With the rapid growth of the number of cars and the increasing complexity of urban transportation, it is particularly important to achieve high-accuracy license plate recognition in complex scenarios. …”
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Pain Severity Ratings Among Patients with Comorbid Chronic Pain and PTSD: A Retrospective Cohort Study by Lily Charron, Eduardo Espiridion

“…Conclusion: Our results demonstrate a need to further investigate the complex relationship between PTSD and CP. The higher average pain severity in patients with both disorders suggest that integrated pain management and mental health interventions must be prioritized in this population. …”
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A Multi-Objective Optimization Framework That Incorporates Interpretable CatBoost and Modified Slime Mould Algorithm to Resolve Boiler Combustion Optimization Problem by Shan Gao, Yunpeng Ma

“…The experimental results show that the proposed framework can effectively improve the boiler thermal efficiency and reduce the NOx emissions concentration, where the average optimization ratio for thermal efficiency reaches +0.68%, the average optimization ratio for NOx emission concentration reaches −37.55%, and the average optimization time is 6.40 s. …”
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New organisational strategies in acute coronary syndrome management by L. S. Barbarash, O. V. Kovalenko, V. Yu. Kheraskov, G. V. Moiseenkov, D. V. Kruchkov, G. V. Artamonova

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Hydrodynamic performance of a novel suturelessprosthetic aortic valve by K. Yu. Klyshnikov, E. A. Ovcharenko, Yu. A. Kudryavtseva, L. S. Barbarash

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Candesartan effectiveness in essential arterial hypertension and renal arterial hypertension by N. M. Chikhladze, O. A. Sivakova, E. V. Blinova, T. A. Sakhnova, I. P. Kolos, G. N. Litonova, I. E. Chazova

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TRANSCATHETER AORTIC VALVE IMPLANTATION AND OPEN AORTIC SURGERY: COMPARATIVE ASSESSMENT OF RESULTS by V. I. Ganyukov, R. S. Tarasov, I. E. Vereshchagin, N. A. Kochergin, A. N. Stasev, O. A. Nagirnyak, L. S. Barbarash

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Genetic Diversity and Population Structure of Wild Ancient <i>Camellia tetracocca</i> in Pu’an, Guizhou, China by Deqin Li, Lushan Li, Shukui Chang, Shunrong Zhang, Jian Feng, Lifei Wang, Xiaoxia Huang, Huizhen Hu, Feng Zu, Xiaomao Cheng

“…The Shannon information index ranged from 0.28 to 2.19, with an average of 1.10. Nei’s gene diversity index ranged from 0.14 to 0.88, with an average of 0.58. …”
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2LE-BO-DeepTrade: an integrated deep learning framework for stock price prediction by Zinnet Duygu Akşehir, Erdal Kılıç

“…The model within this framework, characterized by its optimized yet simple structure, demonstrated superior predictive performance compared to the more complex ICE2DE-MDL model in the literature. When compared to ICE2DE-MDL, the 2LE-BO-DeepTrade model, across all tested stocks, reduced the average root mean square error (RMSE) value by 94.4%, the average mean absolute error (MAE) value by 93.6%, and the average mean absolute percentage error (MAPE) value by 37.4% while increasing the average R2 value by 1.1%. …”
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Formation damage analysis of matrix acidizing: effect of emulsion formation, asphaltene sludge, and iron precipitation by Shayan Zarei, Afshin Bahri, Saeid Sadeghnejad, Arezou Jafari

“…However, achieving consistently complete sludge prevention proved complex and often necessitated the inclusion of a particularly effective anti-sludge agent. …”
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On inference of boxplot symbolic data: applications in climatology by A. Sadeghkhani, A. Sadeghkhani

“…This approach leverages complex yet intuitive representations to make large datasets more manageable and enhance their interpretability, which is invaluable in the age of big data. …”
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Fault Diagnosis of Switching Power Supplies Using Dynamic Wavelet Packet Transform and Optimized SVM by Jie Xu, Jingjing Zhu, Zhifeng Wang

“…The experimental results show that the method achieves an average accuracy of 99.091% in the complex fault diagnosis of switching power supplies, which is 21.8 percentage points higher than that of the traditional spectrum analysis method (77.273%). …”
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Downstream Migration of Burbot (Lota lota) Larvae in the Subglacial Period by Chemagin Andrey, Volosnikov Gleb, Drabovich Yuri

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Algorithm for Solving Distributed Workshop Scheduling Model Based on Order Constraints and Assembly Constraints by Tingting Qu

“…With the transformation of manufacturing towards intelligence and flexibility, the workshop scheduling problem, as a typical combinatorial optimization problem, is facing increasingly complex constraints and requirements. In the actual production process, order constraints and assembly constraints often significantly affect production efficiency and scheduling effectiveness. …”
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Enhancing transportation network intelligence through visual scene feature clustering analysis with 3D sensors and adaptive fuzzy control by Jing Xu

“…The complex environments and unpredictable states within transportation networks have a significant impact on their operations. …”
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An image processing technique for optimizing industrial defect detection using dehazing algorithms. by Xuanyi Zhao, Xiaohan Dou, Gengpei Zhang

“…This paper proposes an industrial defect detection algorithm incorporating dehazing technology to enhance detection performance in complex environments. Experimental results show that using an optimized dehazing processing method on industrial images affected by water fog achieves an average PSNR of 34.9 dB and an SSIM of 0.951. …”
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Quantification of fines migration in block caving mining through laboratory experiments by Michael Aravena, Sergio Palma, Francisco J. Vivanco-Avaria, Gonzalo Nelis

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