Efficiency validation for application of medical and psychological rehabilitation and digitalpsychophysiological therapy in regulation of atherosclerosis development at the level o... by A. V. Gertsev, Yu. N. Zakrevskii, V. N. Ischuk

“…Scientific medical literature has accumulated a lot of data suggesting most important components of coronary heart disease pathogenesis and hypertension to be complex triggering processes of neuro-immune and neuro-endocrine interactions. …”
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Comparison of selected self-consumption regulatory approaches in Europe by Armando Moreno, João Mello, José Villar

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Complexity Analysis of Electroencephalogram Dynamics in Patients with Parkinson’s Disease by Guotao Liu, Yanping Zhang, Zhenghui Hu, Xiuquan Du, Wanqing Wu, Chenchu Xu, Xiangyang Wang, Shuo Li

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Complexity Quantification of Driving Scenarios with Dynamic Evolution Characteristics by Tianyue Liu, Cong Wang, Ziqiao Yin, Zhilong Mi, Xiya Xiong, Binghui Guo

“…The correlation between scenario complexity and object detection algorithm performance further proves the effectiveness of the method. …”
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A Polar Coding Scheme With Selected Index Modulation by Si-Yu Zhang, Jia-Qi Zhang, Xin-Wei Yue, Chao-Wei Wang

“…Sophisticated polar decoding enhances the corresponding performance while degrading the coding rate and complexity. For better decoding performance and efficiency, this paper presents a polar coding scheme with selected index modulation (PC-SIM). …”
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Disease Detection Algorithm for Tea Health Protection Based on Improved Real-Time Detection Transformer by Zhijie Lin, Zilong Zhu, Lingling Guo, Jingjing Chen, Jiyi Wu

“…Thus, there is an urgent demand for automated and efficient approaches to accurately detect and classify tea diseases. …”
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Stable and inert manganese complexes for magnetic resonance imaging by Ndiaye, Daouda, Tóth, Éva

“…Thanks to its five unpaired electrons and slow electron spin relaxation, Mn$^{2+}$ is a very efficient relaxation agent. Given the high doses required for in vivo MRI, Mn$^{2+}$ needs to be chelated in thermodynamically stable and kinetically inert complexes, despite its natural presence in the body. …”
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Energy-aware federated learning for secure edge computing in 5G-enabled IoT networks by Milad Rahmati

“…To address these challenges, we propose an energy-aware federated learning (EAFL) framework, integrating adaptive client selection, quantization-aware model updates, and blockchain-enhanced security mechanisms to improve both energy efficiency and resistance to model poisoning attacks and adversarial gradient manipulations. …”
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Fast Ways to Detect Outliers by Emad Obaid Merza, Nashaat Jasim Mohammed

“…In this research, we aim to develop easy methods for detecting outliers in big data, as the problem that this research addresses is that many of the newly developed methods for detecting outliers suffer from computational complexity or are efficient when the sample size is small. …”
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The influence of the molecular weight of hyaluronic acid on the mangiferin release kinetics from the polymer matrix by P. P. Snetkov, R. O. Shaikenov, V. I. Klimshina, Yu. E. Generalova, S. N. Morozkina

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Metal Complexes of Bispidine Derivatives: Achievements and Prospects for the Future by Altynay B. Kaldybayeva, Valentina K. Yu, Feyyaz Durap, Murat Aydemir, Khaidar S. Tassibekov

“…Multidentate bispidine ligands, including tetra-, penta-, hexa-, hepta-, and octadentate variants, exhibit strong coordination tendencies due to their intrinsic rigidity, significant reorganization potential, and ability to efficiently encapsulate metal ions. These structural attributes profoundly influence the thermodynamic stability, metal ion selectivity, redox behavior, and spin-state configuration of the resulting complexes. …”
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Cost optimization on example of hotel-restaurant complex enterprises by Volkovska I.V.

“…The conclusion is made of the need of system analysis to use resources efficiently and identify cost savings reserves.…”
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Integrating Correlation-Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis by Agnieszka Wosiak, Danuta Zakrzewska

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RSNet: Compact-Align Detection Head Embedded Lightweight Network for Small Object Detection in Remote Sensing by Qing Dong, Tianxin Han, Gang Wu, Baiyou Qiao, Lina Sun

“…Detecting small objects in high-resolution remote sensing images presents persistent challenges due to their limited pixel coverage, complex backgrounds, and dense spatial distribution. …”
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Self-trainable and adaptive sensor intelligence for selective data generation by Arghavan Rezvani, Wenjun Huang, Hanning Chen, Yang Ni, Mohsen Imani

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The analysis of landscape design and plant selection under deep learning by Lian Li, JiYon Lee

“…Abstract This paper explores the application of deep learning (DL) techniques in landscape design and plant selection, aiming to enhance design efficiency and quality through automated plant leaf image recognition (PLIR). …”
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Data selection strategies for minimizing measurement time in materials characterization by Alexander Liehr, Kristina Dingel, Daniel Kottke, Sebastian Degener, David Meier, Bernhard Sick, Thomas Niendorf

“…Obviously, this kind of approach is extremely time-consuming and, eventually, not efficient. The present study highlights that specific selection strategies, taking into account the prevailing microstructure of the alloy in focus, can decrease counting times in X-ray energy dispersive diffraction experiments without any detrimental effect on data quality for the subsequent analysis. …”
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Differential Evolution with Autonomous Selection of Mutation Strategies and Control Parameters and Its Application by Zhenyu Wang, Zijian Cao, Zhiqiang Du, Haowen Jia, Binhui Han, Feng Tian, Fuxi Liu

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Selective electrocatalytic nitrate reduction to dinitrogen: Mechanisms, catalysts, and challenges by Jiayu Chen, Anni Wu, Yongfeng Xie, Yumin Zhang, Hu Zheng, Wei Teng

“…While extensive research has focused on ammonia production, selective N2 production remains challenging due to complex pathways, limitations in detection, and the difficulty of controlling reaction on the electrocatalysts. …”
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Optimizing Cervical Cancer Diagnosis with Feature Selection and Deep Learning by Łukasz Jeleń, Izabela Stankiewicz-Antosz, Maria Chosia, Michał Jeleń

“…The results demonstrate that optimized feature sets, paired with SVM classifiers, achieve classification performance comparable to those of CNNs while significantly reducing computational complexity. This finding underscores the potential of feature reduction techniques in creating efficient diagnostic frameworks. …”
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