Polymeric Micelles in Targeted Breast Cancer Therapy：Recent Advances and Future Trends by Anshu Soni, Vishakha Jaiswal

“…In preclinical and clinical settings, PMs have shown potential to improve drug delivery efficiency, target precision, and minimize systemic toxicity. …”
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Dynamic displacement reconstruction of bridge based on physics-informed recurrent neural network by Yi Tao, Wen-Han Chen, Zhi-Bin Li, Wen-Yu He

“…The results indicate that the PI-RNN is superior to RNN in terms of accuracy and efficiency in reconstruction bridge displacement.…”
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A Linear Mathematical Model of the Vocational Training Problem in a Company Using Neutrosophic Logic, Hyperfunctions, and SuperHyperFunction by Florentin Smarandache, Maissam Jdid, Takaaki Fujita

“…Operations research methods have the ability to express the concepts of efficiency and scarcity in a well-defined mathematical model for a given situation. …”
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Tunable Film Density of Electrodeposited Gold Nanoparticles for Enhanced Antioxidant Activity by Babay Asih Suliasih, Charzen Mae Kinoan

“…Therefore, chemical methods, especially electrodepositions, are preferred due to their effectiveness, efficiency, and the ability to precisely control particle size and shape through electrolyte modifications. …”
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A performance-driven hybrid text-image classification model for multimodal data by Swati Gupta, Bal Kishan

“…This work compares the efficiency of an HTIC model with other classification methods by looking at its applicability across five different datasets. …”
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Integrating rough set theory and fuzzy association rule mining for product kansei knowledge analysis by Shuyao LI

“…The result shows that the systematic design method combining RST and FARM has good predictive ability and significantly improves the efficiency of research and customers’ satisfaction.…”
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The Impacts of Artificial Intelligence on Business Innovation: A Comprehensive Review of Applications, Organizational Challenges, and Ethical Considerations by Ruben Machucho, David Ortiz

“…Key themes include AI-driven business model innovation, human–AI collaboration, ethical governance, operational efficiency, customer experience personalization, organizational capability development, and adoption disparities. …”
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Intelligent Predetermination of Generator Tripping Scheme: Knowledge Fusion-based Deep Reinforcement Learning Framework by Lingkang Zeng, Wei Yao, Ze Hu, Hang Shuai, Zhouping Li, Jinyu Wen, Shijie Cheng

“…This can enhance the efficiency and learning process. Moreover, the graph convolutional network (GCN) is introduced to the policy network for enhanced learning ability. …”
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Review on Synthesis of Silica-Based Hybrid Sorbents and Their Application in Radionuclide Separation and Removal via Chromatographic Technique by Xiangbiao Yin, Fan Wang, Qi Zheng, Shunyan Ning, Lifeng Chen, Yuezhou Wei

“…The efficient separation and removal of key nuclides is important for the nuclear fuel cycle from the aspects of radioactivity reduction and potential resource recycling. …”
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Advancements in Skin Aging Treatment: Exploring Antioxidants and Nanoparticles for Enhanced Skin Permeation by Raghda M. Elsisi, Dina O. Helal, George M. Mekhail, Dalia M. N. Abouhussein, Amany O. Kamel

“…The natural aging process of the skin, which is impacted by both internal and external factors, has sparked further research into its origins and the creation of efficient therapeutic approaches. This review aims to give a thorough understanding of the skin's composition, the causes and variables that contribute to skin aging, the difficulties in treating skin aging, and the methods used to treat skin aging. …”
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Experiments and Simulations on the Low-Temperature Reduction of Iron Ore Oxide Pellets with Hydrogen by Róbert Findorák, Zuzana Miškovičová, Jaroslav Legemza, Róbert Dzurňák, Branislav Buľko, Peter Demeter, Andrea Egryová, Róbert Maliňák

“…Chemical and microstructural analyses revealed that porosity, mineralogical composition, and phase distribution homogeneity significantly affect reduction efficiency. High-quality pellets with low SiO₂ content demonstrated the best reduction ability, while fluxed pellets with the presence of calcium silicate ferrites and pellets with a higher content of SiO₂ showed lower reduction potential due to the presence of hard-to-reduce phases such as calcium silicate ferrites and iron silicates. …”
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FLAME-GPU for Traffic Systems: A Scalable Agent-Based Simulation Framework by Maxim Smilovitskiy, Sedar Olmez, Paul Richmond, Robert Chisholm, Peter Heywood, Alvaro Cabrejas, Sven van den Berghe, Sachio Kobayashi

“…Extensive experimentation validates the model’s ability to realistically simulate the vehicle population of the Isle of Wight, achieving a balance between computational efficiency and the accurate representation of complex traffic dynamics.…”
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DualCascadeTSF-MobileNetV2: A Lightweight Violence Behavior Recognition Model by Yuang Chen, Yong Li, Shaohua Li, Shuhan Lv, Fang Lin

“…Meanwhile, the model incorporates the efficient lightweight structure of MobileNetV2, significantly reducing the number of parameters and computational complexity. …”
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AI-Driven Assessment of Educational Interventions: Enhancing Midwives’ Competence in using condom-catheter intrauterine balloon tamponade - Review by Oluwatoyin Olajumoke Akinyemi, Gbemisola Bolanle Ogbeye, Oluwaseun Eniola Adegbilero-Iwari, Adeniran Sunday Afolalu

“…This emphasizes the urgent need for strong training programs for healthcare professionals as well as efficient therapies. When first-line uterotonic medicines are ineffective, intrauterine balloon tamponade (IUBT) has become a useful, minimally invasive method for treating PPH. …”
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Seed Yield of Mungbean (Vigna radiata (L.) Wilczek) in relation to Growth and Developmental Aspects by M. M. A. Mondal, A. B. Puteh, M. A. Malek, M. R. Ismail, M. Y. Rafii, M. A. Latif

“…Growth parameters such as leaf area (LA), total dry mass (TDM) production, crop growth rate (CGR), relative growth rate (RGR), and net assimilation rate (NAR) were compared in six varieties of mungbean under subtropical condition (24°8′ N 90°0′ E) to identify limiting growth characters for the efficient application of physiology breeding for higher yields. …”
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Enhanced Ocular Bioavailability and Prolonged Duration via Hydrophilic Surface Nanocomposite Vesicles for Topical Drug Administration by Sa Huang, Yuan Xu, Yingyao Luo, Zhijiong Wang, Fan Li, Zhenmiao Qin, Junfeng Ban

“…Ex vivo experiments revealed enhanced corneal permeability and increased uptake efficiency by MDCK cells. In vivo studies in rabbit eyes confirmed the nanoparticles’ resistance to elimination by lacrimal fluid and their ability to extend retention time in the aqueous humor. …”
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Configuration optimization for offset strip plate-fin heat exchanger using a method of PID-based search algorithm driving design indicators mathematical model by Zhe Xu, Zongling Yu, Xin Ning, Changyin Zhao, Fuquan Nie

“…Compared to GOOSE algorithm, Invasive Weed Optimization, and Particle Swarm Optimization, PSA achieves the high convergence efficiency and the adequate ability to escape local optima both, and performs the best with the highest computational efficiency among them. …”
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Variational autoencoder-based model improves polygenic prediction in blood cell traits by Xiaoqi Li, Elena Kharitonova, Minxing Pang, Jia Wen, Laura Y. Zhou, Laura Raffield, Haibo Zhou, Huaxiu Yao, Can Chen, Yun Li, Quan Sun

“…We show that the variational autoencoder-based model for PRS construction (VAE-PRS) outperforms currently state-of-the-art methods for biobank-level data in 14 out of 16 blood cell traits, while being computationally efficient. Through comprehensive experiments, we found that the VAE-PRS model offers the ability to capture interaction effects in high-dimensional data and shows robust performance across different pre-screened variant sets. …”
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All-optical Fourier neural network using partially coherent light by Jianwei Qin, Yanbing Liu, Yan Liu, Xun Liu, Wei Li, Fangwei Ye

“…We attribute this enhancement to spatially incoherent light's ability to alleviate experimental errors like diffraction rings and laser speckle. …”
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Development of a Semi-Automated Decision-Making Method for the Resilience of Urban Healthcare Systems in Crisis Situations by Oksana Mulesa, Vladimir Ondrejicka, Oleksii Yehorchenkov, Nataliia Yehorchenkova, Lubomir Jamecny, Marianna Marusynets

“…Importantly, the proposed method allows for a more equitable and efficient distribution of resources in the context of urbanization and population density growth.…”
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