Equilibrium, kinetic, and selectivity studies for high-capacity and -selectivity uranium adsorption on polyacrylic acid copolymer hydrogel by Fatemeh Maleki, Zahra Rafiei-Sarmazdeh, Rezvan Torkaman, Mehdi Asadollahzadeh

“…A pseudo-second-order mechanism was observed for uranium adsorption, and the equilibrium data fit the Langmuir isotherm model, which indicates it has an impressive capacity of 1111.11 mg/g, higher than most absorbents reported to date. In complex ion systems and acidic solutions, the hydrogel showed high selectivity for UO22+, positioning it as an absorbent of next-generation for uranium remediation.…”
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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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Use of granular computing for resource optimization in IoT networks by Jaime Govea, Rommel Gutierrez, William Villegas-Ch

“…However, this proliferation introduces complex challenges in efficiently managing limited resources—such as bandwidth, energy, and processing capacity, especially in dynamic and heterogeneous IoT networks. …”
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Smart 3D-printed facades: a review of innovations, materials, and sustainable performance by Dan-Radu Baraboi, Luminița Maria Scutaru, George Dragomir, Alin Ionuț Brezeanu, Răzvan Calotă, Mihaela Pavel, Gabriel Năstase

“…The selection of sustainable and high-performance materials is crucial for optimizing energy efficiency, durability, and environmental impact. …”
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EVALUATION OF PRODUCT QUALITY: INDICATORS AND METHODS by Svitlana Gutkevych, Yurii Safonov, Oleh Holovko

“…The article evaluates the effectiveness and efficiency of product quality management based on market, financial, social, and other factors. …”
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Lean Service Waste Classification and Methodological Application in a Case Study by Giuseppe Converso, Guido Guizzi, Emma Salatiello, Silvestro Vespoli

“…This study explores the application of Lean principles in the service sector, addressing the complexities of translating manufacturing-focused methodologies to intangible service activities. …”
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Selection Signature Analysis of Whole-Genome Sequences to Identify Genome Differences Between Selected and Unselected Holstein Cattle by Jiarui Cai, Liu Yang, Yahui Gao, George E. Liu, Yang Da, Li Ma

“…Comparisons between this line of unselected Holstein and those under selection provide useful insights that connect selection and complex traits in cattle. …”
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Prediction on Permeability Coefficient of Continuously Graded Coarse-Grained Soils: A Data-Driven Machine Learning Method by Jinhua Wang, Haibin Ding, Lingxiao Guan, Yulin Wang

“…Among the models, BPNN achieved the best performance (R² = 0.99, MAE = 1.5, RMSE = 2.9, U₉₅ = 0.4), effectively capturing the complex nonlinear relationship between gradation and permeability. …”
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SOURCES OF FINANCING INDUSTRIAL COMPLEX ENTERPRISES by Anzhela Zakhitovna Namitulina, Mikhail Nikolaevich Prokofiev, Nikolay Viktorovich Vorovsky

“…Subject article is relevant because It is devoted to description of sources of financing of defense enterprises and peculiarities of selection of sources of financing enterprises of the military-industrial complex. …”
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Interferometric phase diagram generation method based on dot trace texture information and semantic segmentation of correlation coefficients by Xuelin Zhang, Zhaoxia Wang, Hui Zhang, Dongliang Xie

“…Second, SIFT feature points are extracted from two InSAR coherent complex images. They are then screened by comparison with DTTI. …”
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TOPSIS Method Based on Correlation Coefficient and Entropy Measure for Linguistic Pythagorean Fuzzy Sets and Its Application to Multiple Attribute Decision Making by Mingwei Lin, Chao Huang, Zeshui Xu

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AccFIT-IDS: accuracy-based feature inclusion technique for intrusion detection system by C. Rajathi, P. Rukmani

“…ML based IDS still faces challenges, particularly due to high-dimensional data complexity, which affects the performance. To address this, the study proposed AccFIT (Accuracy-based Feature Inclusion Technique) for IDS, combining two-stage Feature Selection Algorithms (FSA). …”
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Leveraging dendritic complexity for neuromorphic computing by Suma G Cardwell, Mark Plagge, Luke Parker, Claire E Plunkett, David Munkvold, Paloma T Gonzalez-Bellido, Scott Koziol, Conrad James, Frances S Chance

“…However, for brain-like cognition and efficiency in next-generation computing hardware, we need increased complexity in function, as well as improved connection density for scalability. …”
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Modern aspects of complex treatment of hysteromyoma by L. V. Adamyan, M. M. Sonova, K. N. Arslanyan, O. N. Loginova

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Data analysis in complex biomolecular systems by M. M. Yatskou, V. V. Apanasovich

“…The effectiveness of the algorithms of the approach was verified by analyzing of simulated and experimental data representing the systems of molecules and proteins. The use of complex analysis increases the efficiency of the study of biophysical systems during the analysis of big data.…”
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Identification of potential dual α-amylase and α-glucosidase inhibitory peptides from Humulus scandens through multi-step virtual screening, molecular docking, ligand efficiency an... by De Xin Dang, Shi Qi Xu, Desheng Li, Huan Wang, Xinhua Xia, Shaoyong Xu

“…This study systematically identified and evaluated dual inhibitory peptides from Humulus scandens (HS) with potential inhibitory effects on α-glucosidase and α-amylase through virtual enzymolysis, bioactivity prediction, molecular docking, ligand efficiency analysis, and molecular dynamics simulations. …”
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Optimising roll forming simulation in Abaqus: A computational study by Friedrich Ratschiller, Konstantin Prabitz, Martin Stockinger

“…The proposed approach combines a tailored conformal mesh partitioning scheme, material model refinement based on experimental tensile data, and element type selection to enhance simulation efficiency. Unlike previous studies, this work integrates experimental validation using force measurements and geometry scanning from an industrial roll-forming process, confirming the accuracy of the numerical model. …”
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Mixture of Expert Large Language Model for Legal Case Element Recognition by YIN Hua, WU Zihao, LIU Tingting, ZHANG Jiajia, GAO Ziqian

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A novel metaheuristic approach for simultaneous loss minimization and torque ripple reduction of DTC- IM driven EV by Anjan Kumar Sahoo

“…However, these methods have convergence issues at optimal values, require large memory spaces, have higher computational complexity, and are difficult to implement. In the recent literature, efforts have been made to improve either the efficiency or the ripple, whereas in this paper, a multi-objective dynamic reference flux selection algorithm based on teamwork optimization is used to improve the efficiency and ripples simultaneously for a wide range of operating scenarios. …”
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Therapeutic potential of a drug based on avocado and soy unsaponifiable compounds in the treatment of osteoarthritis: data from Russian and international studies (descriptive revie... by A. E. Karateev, A. M. Lila

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