Effectiveness of compression therapy in chronic venous insufficiency by S. S. Dunaevskaya

“…The article provides an overview of modern literature on the problem of etiology, pathogenesis and principles of complex therapy of chronic venous insufficiency. Data on possible surgical correction methods of this pathology are given. …”
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IMPROVEMENT OF ACCURACY OF RADIATIVE HEAT TRANSFER DIFFERENTIAL APPROXIMATION METHOD FOR MULTI DIMENSIONAL SYSTEMS BY MEANS OF AUTO-ADAPTABLE BOUNDARY CONDITIONS by K. V. Dobrego

“…It is one of the more effective methods for engineering calculations of radia- tive heat transfer in complex three-dimensional thermal power systems with selective and scattering media. …”
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Wide-Range Variable Cycle Engine Control Based on Deep Reinforcement Learning by Yaoyao Ding, Fengming Wang, Yuanwei Mu, Hongfei Sun

“…The PID controller is subject to limitations, including single-input single-output limitations, low regulation efficiency, and poor adaptability when confronted with contemporary variable cycle engines that exhibit complex and multi-variable operating conditions. …”
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Enhancing chemical synthesis planning: automated quantum mechanics-based regioselectivity prediction for C–H activation with directing groups by Julius Seumer, Nicolai Ree, Jan H. Jensen

“…The mild and selective functionalization of carbon–hydrogen (C–H) bonds remains a pivotal challenge in organic synthesis, crucial for developing complex molecular architectures in pharmaceuticals, polymers, and agrochemicals. …”
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Edge vs. Cloud: Empirical Insights into Data-Driven Condition Monitoring by Chikumbutso Christopher Walani, Wesley Doorsamy

“…The findings reveal that while the cloud platform offers superior computational and memory resources, making it more suitable for complex machine learning tasks, it also incurs higher costs and latency. …”
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Fault Diagnosis of Hydraulic Pumps Using PSO-VMD and Refined Composite Multiscale Fluctuation Dispersion Entropy by Fuming Zhou, Xiaoqiang Yang, Jinxing Shen, Wuqiang Liu

“…Multiscale fluctuation dispersion entropy (MFDE) has been proposed to measure the dynamic features of complex signals recently. Compared with multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), MFDE has higher calculation efficiency and better performance to extract fault features. …”
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Shallow Sea Mobile Channel Estimation Method Based on Iterative Cancellation by Cheng He, Tao Song, Lifangzheng Wang, Danying Zhang

“…The method uses cross-correlation of complex signals to identify Doppler shifts, select the most prominent shifts, and subtract corresponding reference signal components. …”
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Financial Account Audit Early Warning Based on Fuzzy Comprehensive Evaluation and Random Forest Model by Yuting Zhao, Yupeng Fang

“…First, the dataset is analyzed, selected and initially constructed by the training prediction sample. …”
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Exploring the Benefits of a Social Responsibility Application (SR App) in Optimizing the Governance of Community Development Programs: A Study of the Inovasi Muda Indonesia Foundat... by Lisdawati Wahjudin, Ridho Rinaldi

“…This non-profit organization has adopted the SR App to improve its social programs' efficiency, transparency, and accountability. Data were collected through in-depth interviews, observations, and secondary sources, involving five purposively selected users of the SR App. …”
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Exploring the Benefits of a Social Responsibility Application (SR App) in Optimizing the Governance of Community Development Programs: A Study of the Inovasi Muda Indonesia Foundat... by Lisdawati Wahjudin, Ridho Rinaldi

“…This non-profit organization has adopted the SR App to improve its social programs' efficiency, transparency, and accountability. Data were collected through in-depth interviews, observations, and secondary sources, involving five purposively selected users of the SR App. …”
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Optimal Coordination of Directional Overcurrent Relays Using an Exponential-Based Non-Standard Characteristic and the Nutcracker Optimizer by Alişan Ayvaz

“…However, onsidering the complex nature of power systems, solving this nonlinear problem with high-level constraints becomes challenging. …”
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A avaliação da lei complementar n° 233/2005 em relação a exploração sustentável das florestas em Mato Grosso: sua eficácia nas políticas ambientais no Brasil by Alessandra Maria Filippin dos Passos Santos, Aumeri Carlos Bampi, Wylmor Constantino Tives Dalfovo

“…Thus, it was understood that the complementary law alone is not able to act efficiently in relation to the protection of flora and the promotion of sustainable activities, requiring an alignment between the agents, the State and the competent bodies, evidencing that the factors associated with deforestation in these municipalities are complex and are not related only to the timber sector.…”
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A avaliação da lei complementar nº 233/2005 em relação a exploração sustentável das florestas em Mato Grosso: sua eficácia nas políticas ambientais no brasil by Alessandra Maria Filippin dos Passos Santos, Aumeri Carlos Bampi, Wylmor Constantino Tives Dalfovo

“…Thus, it was understood that the complementary law alone is not able to act efficiently in relation to the protection of flora and the promotion of sustainable activities, requiring an alignment between the agents, the State and the competent bodies, evidencing that the factors associated with deforestation in these municipalities are complex and are not related only to the timber sector.…”
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Runoff Forecasting Research Coupling Quadratic Factor Screening and Deep Learning by CHENG Liwen, HUANG Shengzhi, LI Pei, LI Ziyan, JIA Songtao, HUANG Qiang

“…The effective screening of factors influencing runoff is a key aspect of runoff forecasting research.However,there are many factors affecting runoff,and these factors have complex interactions.Most of the existing studies use numerically driven models with primary factor screening,and the results show that the input factors are spatially redundant,leading to poor forecasting results.In view of this,the support vector regression (SVR) and the long-short memory network model (LSTM) are compared with Weihe River Basin as an example,and the LSTM model is selected as the optimal forecasting model.Principal component analysis and gray correlation analysis are used for secondary screening of the input terms to form a model coupling principal component analysis,gray correlation analysis,and LSTM.The results show that:①the fitting accuracy of LSTM is higher than that of SVR;②the secondary screening of the input terms improves the forecast accuracy,and the forecast accuracy of the coupled model is better than that of the single model,specifically,the model accuracy evaluation indexes of the coupled model are substantially improved compared with those of the single model;③the Nash efficiency coefficient and deterministic coefficient of the coupled model of gray system correlation analysis are improved by 0.13% and 0.03%,respectively,compared with those of the coupled model of principal component analysis,and the standard deviation ratio of observed values is improved by 42.9%.The study shows that the secondary factor screening by using gray correlation can effectively improve forecast accuracy.…”
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Recent Advances in Sequentially Pd-Catalyzed One-Pot Syntheses of Heterocycles by Maryna M. Kornet, Thomas J. J. Müller

“…Sequential Pd-catalyzed one-pot synthetic methodologies have emerged as a powerful and versatile approach in organic synthesis, enabling the construction of complex heterocyclic architectures with high efficiency, selectivity, and atom economy. …”
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Usability Analysis of Mobile Applications Used for Foreign Language Learning by Fatih Erdoğdu, Kübra Kırdar, Fatma Eski, Edanur Okumuş

“…The study examined the effectiveness, efficiency and user satisfaction of the selected applications. …”
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From In Vitro Cytotoxicity to In Vivo Zebrafish Assays: A Study on 3,3-Dichloro β-, γ- and δ-Lactams and Their Biological Activity Profiles by Faïza Diaba, María del Carmen Morán, Elisabet Teixidó

“…<b>Background/Objectives:</b> Anticancer research is a constantly evolving field due to cancer’s complexity and adaptability. This study aims to evaluate the hemolytic behavior and cytotoxic properties of ten 3,3-dichlorolactams against A431 tumor and 3T3 fibroblast cells, with a particular focus on their selective toxicity. …”
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A Novel Depression Risk Prediction Model Using NHANES Data With Mendelian Randomization Validation by Lin Lin, Liqun Zhang, Jingdong Zhang, Dapeng Ding

“…Conclusions Model 2, selected for its predictive accuracy and streamlined complexity, presents a pragmatic instrument for large‐scale population screenings, facilitating timely intervention and therapeutic strategies.…”
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A YOLO11-Based Method for Segmenting Secondary Phases in Cu-Fe Alloy Microstructures by Qingxiu Jing, Ruiyang Wu, Zhicong Zhang, Yong Li, Qiqi Chang, Weihui Liu, Xiaodong Huang

“…Experimental results on the Cu-Fe alloy metallographic image dataset demonstrate that YOLO11 outperforms mainstream semantic segmentation models such as U-Net and DeepLabV3+ in terms of mAP (85.5%), inference speed (208 FPS), and model complexity (10.2 GFLOPs). The improved YOLO11 model achieves an mAP of 89.0%, a precision of 84.6%, and a recall of 81.0% on this dataset, showing significant performance improvements while effectively balancing inference speed and model complexity. …”
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Insights and Recommendations for the Assessment and Design of Fault Diagnosis Methods Applied to Modern Distribution Systems by Talita M. O. A. Cunha, Gabriela N. Lopes, Leonardo S. Lessa, Moises J. B. B. Davi, Mario Oleskovicz, Jose C. M. Vieira

“…The growing integration of Distributed Generation (DG) and the complexity of modern distribution networks present new challenges in fault diagnosis. …”
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