Patient satisfaction of a city multi-disciplinary hospital with medical care by S. A. Suslin, A. V. Vavilov, R. I. Ginnyatulina

“…The results of the study of patients' satisfaction with the quality of the services provided reveal the factors that reduce patient satisfaction with medical care and highlight the main directions for its optimization.…”
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First-Principles-Based Structural and Mechanical Properties of Al₃Ni Under High Pressure by Chuncai Xiao, Baiyuan Yang, Zhangli Lai, Zhiquan Chen, Huaiyang Yang, Hui Wang, Yunzhi Zhou, Xianshi Zeng

“…The structural, elastic, and thermal characteristics within the 0–30 GPa pressure range of Al₃Ni intermetallic compounds were extensively studied using first-principles computational techniques. Using structural optimization, lattice parameters and the variation in volume variation under diverse pressures were determined, and the trends in their structural alteration with pressure were identified. …”
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Fuzzy Lyapunov function based stability analysis of hybrid multiple-frequency system with low frequency offshore wind power integration by Ziyue Duan, Yongqing Meng, Tianyi Wang, Boyang Zhao, Xiuli Wang, Xifan Wang

“…On top of that, by introducing the concepts of large signal stability margin and sensitivity, it presents the quantitative optimization scheme for enhancing system stability. Additionally, the selection criterion from the stability perspective for optimal transmission frequency is proposed. …”
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Dataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systemsMendeley by Alaa Selim, Huadong Mo, Hemanshu Pota

“…Using Deep Reinforcement Learning (DRL) agent known as Proximal Policy Optimization (PPO), noise signals in the form of subtle millivolt and milliampere variations are strategically created to represent realistic cases of False Data Injection Attacks (FDIA). …”
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A facile synthesis by spark plasma sintering of mobile lithium ions into oxynitride glass-ceramic matrix: Insight and perspective by Sharafat Ali, Abbas Saeed Hakeem, Hussain Alslman, Natalia Anna Wójcik

“…These findings provide valuable insights into the design and optimization of SSE materials for next-generation energy storage applications.…”
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Fuzzy multi-model based dynamic sliding mode control for chemical process with long-time delay by Marco Herrera, Oscar Camacho, Alvaro Prado

“…The parameters of the proposed controller were determined using Particle Swarm Optimization techniques (PSO), which optimize the effectiveness of the controller. …”
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Sensitizing performance of air purifiers for the high-rise commercial buildings in urban core by Sandeep Budde, Sandeep Budde, Prabhjot Singh Chani, Sandeep Agrawal

“…Therefore, there is a need for optimization in sensitizing the performance of air purifiers at the building level. …”
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Robust Time-Series InSAR Deformation Monitoring by Integrating Variational Mode Decomposition and Gated Recurrent Units by Peifeng Ma, Zeyu Jiao, Zherong Wu

“…The VMD decomposes low-frequency trend, specific-frequency seasonal, and high-frequency noise components from the original TS-InSAR data via frequency-domain variational optimization first. Then, by eliminating the seasonal component decomposed by VMD from the original time series, the time series is reconstructed, effectively removing the influence of annual seasonal variations. …”
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Application of a Plug-and-Play Immunogenicity Assay in Cynomolgus Monkey Serum for ADCs at Early Stages of Drug Development by Montserrat Carrasco-Triguero, Helen Davis, Yuda Zhu, Daniel Coleman, Denise Nazzal, Paul Vu, Surinder Kaur

“…This assay showed good sensitivity, drug tolerance, and reproducibility across a variety of antibody-derived biotherapeutics without the need for optimization across molecules.…”
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Taxonomic Blind Spots: A Limitation of Environmental DNA Metabarcoding‐Based Detection for Canadian Freshwater Fishes by Kevin C. Morey, Erika Myler, Robert Hanner, Gerald Tetreault

“…The limitations imposed by taxonomic blind spots should be addressed in future optimization efforts as eDNA metabarcoding sees broader acceptance as an applied method for fish biomonitoring.…”
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Prediction of COD Degradation in Fenton Oxidation Treatment of Kitchen Anaerobic Wastewater Based on IPSO-BP Neural Network by Tianpeng Zhang, Pengfei Ji, Dayong Tian, Rui Xu

“…The improved particle swarm optimization (IPSO) algorithm is used to optimize the back propagation (BP) neural network, and a prediction model of COD degradation is established based on IPSO-BP neural network. …”
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Latent spectral-spatial diffusion model for single hyperspectral super-resolution by Yingsong Cheng, Yong Ma, Fan Fan, Jiayi Ma, Yuan Yao, Xiaoguang Mei

“…Subsequently, the diffusion model undergoes efficient optimization through a variant of the variational bound on the data likelihood. …”
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Enhancing plant disease detection through deep learning: a Depthwise CNN with squeeze and excitation integration and residual skip connections by Asadulla Y. Ashurov, Mehdhar S. A. M. Al-Gaashani, Nagwan A. Samee, Reem Alkanhel, Ghada Atteia, Hanaa A. Abdallah, Mohammed Saleh Ali Muthanna

“…In light of increasing global challenges related to food security and sustainable agriculture, this research focuses on developing a highly efficient and accurate automated system for identifying plant diseases, thereby contributing to enhanced crop protection and yield optimization. The proposed model is trained on a comprehensive dataset encompassing various plant species and disease categories, ensuring robust performance and adaptability. …”
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Modeling of Inscribed Dual Band Circular Fractal Antenna for Wi‐Fi Application Using Descartes Circle Theorem by SatheeshKumar Palanisamy, Anitha R. Vaddinuri, Arfat Ahmad Khan, Muhammad Faheem

“…The exploration of unconventional fractal shapes and the utilization of advanced optimization algorithms present promising avenues for enhancing antenna performance and achieving miniaturization. …”
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Construction and application of a physically-based constitutive model for superplastic deformation of near-α TNW700 titanium alloy by Lixia Ma, Dingyong He, Bangjian Yang, Xiuquan Han, Jichun Zhang, Weidong Li

“…Material constants are calibrated using a genetic algorithm combined with multi-objective optimization. The proposed constitutive model exhibits high predictive accuracy, with an average absolute error of less than 14%, validated by comparisons with experimental phase ratios, grain sizes and flow stresses. …”
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Further Analysis of the Passive Dynamics of the Compass Biped Walker and Control of Chaos via Two Trajectory Tracking Approaches by Essia Added, Hassène Gritli, Safya Belghith

“…The second control method lies in following a planned trajectory using the 4th-order Spline function. An optimization method is also achieved to design the parameters of the desired trajectory. …”
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Research on the bearing performance of HSCA high-strength preloaded expansion piles in calcareous sand foundation by Tao Sun, Fang Wang, Jie Liu, Zhenxun Chen, Mingmin Tuo, Yunan Yang

“…The research outcomes provide important guidance for the optimization, design, and construction of high-strength preloaded expansion piles in calcareous sand foundations.…”
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MED-AGNeT: An attention-guided network of customized augmentation of samples based on conditional diffusion for textile defect detection by Jun Liu, Haolin Li, Hao Liu, Jiuzhen Liang

“…However, in practice, there are relatively few manually annotated defective samples, and considering both performance and parameter quantity, there is still room for optimization in the architecture of detection networks. …”
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Exploring cerebellar transcranial magnetic stimulation in post-stroke limb dysfunction rehabilitation: a narrative review by Zhan Wang, Likai Wang, Likai Wang, Fei Gao, Yongli Dai, Chunqiao Liu, Jingyi Wu, Mengchun Wang, Qinjie Yan, Yaning Chen, Chengbin Wang, Litong Wang

“…Additionally, the review discusses current challenges, including coil types, safety, and optimal timing and modes of stimulation, and suggests future research directions. …”
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Enhancing unsupervised learning in medical image registration through scale-aware context aggregation by Yuchen Liu, Ling Wang, Xiaolin Ning, Yang Gao, Defeng Wang

“…Traditional registration algorithms often require significant computational resources due to iterative optimization, while deep learning approaches face challenges in managing diverse deformation complexities and task requirements. …”
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