Chaotic and quasi-periodic dynamics in fractional-order nonlinear wave systems within dispersive-dissipative media by Wael W Mohammed, Fakhr Gassem, Rabeb Sidaoui, Aleksander Vokhmintsev, Mostafa M. A. Khater

“…Our analysis uncovers intricate solution behaviors, including nonlinear wave interactions and resonance dynamics within fractional-order temporal frameworks. …”
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Experimental Study on Application Performance of Foamed Concrete Prepared Based on a New Composite Foaming Agent by Youqiang Qiu, Liujun Zhang, Yashao Chen, Yang Liu, Feng Zhang

“…The results show that the optimal mass ratio of surfactants is mAPG: mSCA = 2 : 1, and the optimal concentration of foam stabilizer is 0.5 g/L, which verified that the self-made composite foaming agent system in this paper has the advantages of strong foaming ability, excellent foam stability, and low cost. In addition, foamed concrete was prepared on the basis of the optimized composite foaming agent system, and the influence rules of different foaming agent solution volumes, water-cement ratios, and diatomite dosages on the performance of foamed concrete were revealed through laboratory tests and SEM images. …”
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Degradation of chloroquine phosphate by low-pressure ultraviolet/peroxyacetic acid: Performance, degradation pathway and mechanism studies by Chunxue Li, Yuyang Ning, Zijun Dong, Feng Wang, Shichang Sun, Jingyun Fang

“…The system simultaneously demonstrated excellent sterilizing ability and disinfection by-product control, which indicated that it had the prospect of engineering application. …”
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EfficientNet B0 Feature Extraction with L2-SVM Classification for Robust Facial Expression Recognition by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo, Heru Rustamadji, Nur Heri Cahyana

“…These results validate the model’s generalization ability, efficiency, and suitability for real-time FER tasks. …”
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Reinforcement Learning-Based Control for Robotic Flexible Element Disassembly by Benjamín Tapia Sal Paz, Gorka Sorrosal, Aitziber Mancisidor, Carlos Calleja, Itziar Cabanes

“…The adaptive reward function further enhances the ability of the robotic system to generalize across a range of flexible element disassembly tasks, making it a promising solution for real-world applications.…”
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Direction-of-Arrival Estimation for a Floating HFSWR Through Iterative Adaptive Beamforming of Focusing Concept by Xianzhou Yi, Min Qu, Zhihui Li, Shuyun Shi, Li Wang, Xiongbin Wu, Liang Yu

“…Floating high-frequency surface-wave radar provides an effective solution to widening the range of detection by such radar systems. …”
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Voltage Quality Enhancement of Low-Voltage Smart Distribution System Using Robust and Optimized DVR Controllers: Application of the Harris Hawks Algorithm by Mohamed Metwally Mahmoud, Yahia M. Esmail, Basiony Shehata Atia, Omar Makram Kamel, Kareem M. AboRas, Mohit Bajaj, Syed Sabir Hussain Bukhari, Daniel Eutyche Mbadjoun Wapet

“…To verify the value of the suggested solution, the hard operating events (voltage sag, voltage swell, fluctuating voltage, and imbalanced voltage) are examined and assessed. …”
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Optimal Dynamic Reserved Bandwidth Allocation for Cloud-Integrated Cyber-Physical Systems by Guanlin Wu, Weidong Bao, Xiaomin Zhu, Wenhua Xiao, Ji Wang

“…The online algorithm can approximate the optimal solution within provable bounds and is capable of processing the tasks within a preset delay. …”
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Market of the residential real estate: trends and prospects by E. N. Klochkova, M. A. Tolstyakova

“…For the purpose of the solution of objectives the package of the IBM  SPSS Statistics application programs was used.Results. …”
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Hybrid bionanocomposites as the advancements in biomedical utility by Pooja Phadtare, V. Viswapriya, Vaibhav Shinde, Dyandevi Mathure, Malati R. Salunke

“…Bionanocomposites, as the integration of nanoscale fillers into biopolymeric matrices, offer a revolutionary approach to addressing the dual challenge of enhancing material performance while promoting ecological sustainability. Their ability to improve mechanical strength, thermal stability, and barrier properties at minimal filler concentrations makes them a promising solution for industries seeking cost-effective and biodegradable options. …”
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An Optimally Oriented Coherence Attribute Method and Its Application to Faults and Fracture Sets Detection in Carbonate Reservoirs by Shuai Chen, Shengjun Li, Qi Ma, Lu Qin, Sanyi Yuan

“…Overall, the OOCA method offers a geologically consistent and computationally efficient solution for high-resolution fault interpretation and drilling risk prediction in structurally complex carbonate reservoirs.…”
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Modelling, Analysis and Validation of Hydraulic Self-Adaptive Bearings for Elevated Floating Bridges by Lianpeng Zhang, Yuan Liu, Tailai Yang, Ruichen Wang, Jie Feng, David Crosbee

“…Results from both experiments and simulations demonstrate the HABS’s ability to adapt to varying loads and environmental disturbances, achieving a 72% reduction in displacement and a 54% reduction in acceleration. …”
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MOF-based catalysts for CO2 reduction via photo-, electro-, and photoelectrocatalysis: a review by Mahmood Riyadh Atta, Akram Fadhl Al-Mahmodi, Baker Nasser Saleh Al-Dhawi, Md. Maksudur Rahman Khan

“…Among these, Metal–Organic Framework (MOF)-based catalysts have emerged as a promising solution due to their high surface area, tunable porosity, and ability to incorporate active metal sites. …”
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Evaluation of decellularized caprine small intestine submucosa encapsulated with nano-formulations of cerium oxide and curcumin in the management of burn wound by Juan Li, Hao Li, Kaikai Wang, Haiyan Chou

“…The management of burn injuries presents a significant challenge in clinical settings, yet an optimal solution remains elusive. Therefore, this study aimed to develop a topical therapeutic formulation to address the complex issues hindering burn wound healing. …”
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A New Nearest Neighbors Data Association Approach Based on Fuzzy Density Clustering by mousa Nazari, Mohammad. M AlyanNezhadi, Seyed Mohammad Reza Hashemi, Seyed Masoud Mirrezaei

“…This paper provides a novel and effective solution to the data association problem in multi-target tracking, offering promising advancements in heavily cluttered environments. …”
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An optimized feature selection using triangle mutation rule and restart strategy in enhanced slime mould algorithm by Ibrahim Musa Conteh, Gibril Njai, Abass Conteh, Qingguo Du

“…Comparison with benchmark testing on CEC2017 functions confirms TRSMA’s ability to perform global optimization. Statistical tests using the Wilcoxon rank-sum and Friedman tests also verify these performance gains. …”
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Integrated Generation and Transmission Expansion Planning Through Mixed-Integer Nonlinear Programming in Dynamic Load Scenarios by Edison W. Intriago Ponce, Alexander Aguila Téllez

“…A key finding is the model’s ability to identify the most economic expansion pathway; for shorter horizons, the optimal solution prioritizes strategic transmission reinforcements to unlock existing generation capacity, thereby deferring capital-intensive generation investments. …”
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STRATEGIC MANAGEMENT OF THE ECONOMIC SUSTAINABILITY OF A COMPANY IN THE PARADIGM OF FUZZY LOGIC by Yu. A. Malyukov, A. O. Nedosekin, Z. I. Abdoulaeva

“…Most of them lack a comprehensive approach to the issue of resilience, the ability to assess the behaviour of economic systems under conditions of uncertainty and to offer optimal solutions to ensure the resilience of economic systems (enterprises, industries) in difficult conditions. …”
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Design and Fabrication of Cylindrical Fiber Backplanes with 2T1C Pixel Circuits for Truly Wearable Woven Displays by Jiseong Lee, Soyoon Park, Seong Uk Kong, Jiwoo Park, Daehyun Kim, Kyung Cheol Choi

“…The innovative TFT backplane design, optimized for cylindrical fiber structures, is proposed as a solution to the unique challenges posed by curved, flexible substrates. …”
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Multi-Agent Deep Reinforcement Learning for Integrated Demand Forecasting and Inventory Optimization in Sensor-Enabled Retail Supply Chains by Yongbin Yang, Mengdie Wang, Jiyuan Wang, Pan Li, Mengjie Zhou

“…While existing approaches employ statistical and machine learning methods for demand forecasting, they often fail to capture complex temporal dependencies and lack the ability to simultaneously optimize inventory decisions. …”
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