Identification of Nanoparticle Agglomeration in Polymer Plates Reinforced with Carbon Nanotubes by Use of Active Thermography and Deep Learning-Based Image Processing by Mazharul Islam, Raihan Sarker

“…This study describes a noncontact method for measuring nanoparticle agglomeration in epoxy-based polymer nanocomposite sheets reinforced by carbon nanotubes. …”
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Total Phenolic Content and Antioxidant Activity of Different Extracts of Aronia melanocarpa L. Fruit by Nurcan Kılıç Baygutalp, Mehmet Şekeroğulları, Lale Duysak

“…More research is needed to elucidate the exact mechanisms of action, optimum extraction method, optimal dosage, and potential side effects of the extracts.…”
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Analysis of the availability and affordability of pharmaceuticals for children in need of palliative care by D. M. Medvedeva, I. A. Narkevich, O. D. Nemyatykh

“…Linear distribution index (LDI) was calculated to produce the best estimates of availability. Research data was sourced from AlphaRM (as of April 26, 2021) and International Medicine Reference Piece Data. …”
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Evaluation of Seismic Performance of Reinforced Concrete Frame Structures in the Context of Big Data by Du Guangqian, Zheng Meng, Wang Shijie

“…In the era of big data, the efficient use of idle data in reinforced concrete structures has become a key issue in optimizing seismic performance evaluation methods for building structures. …”
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Forecasting monthly residential natural gas demand in two cities of Turkey using just-in-time-learning modeling. by Burak Alakent, Erkan Isikli, Cigdem Kadaifci, Tonguc S Taspinar

“…Since a model is constructed separately for each test point, the proposed method is, indeed, an example of JITL. The JITL-GPR method is easy to use and optimize, and offers a reduction in forecast errors compared to traditional time series methods and a state-of-the-art combination model; therefore, it is a promising tool for NGD forecasting in similar settings.…”
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IKEChecker: grammar-guided stateful fuzzer for IKE protocol implementions by ZHENG Yonghui, ZHAO Dongliang, GU Chunxiang, ZHANG Xieli

“…Utilizing the aforementioned methods, an IKE protocol stateful fuzz testing tool named IKEChecker was implemented, supporting testing of both IKEv1 and IKEv2 protocols. …”
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The Use of Artificial Intelligence in Combating Financial Crimes and Money Laundering in International Trade A Data-Driven Analysis (2010–2024) by Balouz Mohamed

“…The primary objectives are to assess the development and effectiveness of AI-driven algorithms in detecting illicit transactions, analyze the role of machine learning in real-time monitoring and predictive analytics, and investigate regulatory and ethical challenges that constrain AI’s full potential in financial crime prevention. Employing a mixed-methods approach, the study integrates qualitative insights from case studies of major financial institutions and multinational corporations with quantitative analyses of AI adoption metrics, detection rates, and financial crime trends, drawing on data sourced from leading regulatory bodies such as the Financial Action Task Force, World Bank, and International Monetary Fund. …”
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Emerging Trends in the Integrating Remote Sensing and Machine Learning for Groundwater Resources Management: A Bibliometric Study by Abolfazl Akbarpour, Moein Tosan, Raziyeh Shamshirgaran

“…The integration of multi-source remote sensing data (including data from new-generation satellites and aerial platforms) with advanced artificial intelligence algorithms (such as deep neural networks, physics-informed models, and reinforcement learning methods) is expected to become a central focus for leading researchers in hydrology, water resources, and machine learning engineering. …”
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Can eating nuts reduce the risk of dementia? - narrative review by Ewa Malaka, Martyna Byrska, Marlena Zubiak, Hanna Barska-Kobylińska, Marta Janura, Sara Langner

“…In recent years, there has been growing interest in the role of diet in reducing the risk of developing dementia, including the consumption of nuts, which are a rich source of nutrients with potential neuroprotective properties. …”
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Phytochemical composition and antioxidant properties of unripe apples by Crucirescu Diana

“…The study provides information on unripe apples that can be processed and optimally used for food purposes.…”
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Experimental research on the performances of water jet devices and proposing the parameters of borehole hydraulic mining for oil shale. by Jiwei Wen, Chen Chen, Urso Campos

“…Oil shale is an unconventional energy source, and it is also a potential petroleum substitute. …”
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H2-free hydrodeoxygenation of microalgae biomass using Pd-Ni/γ-Al2O3 bimetallic nanocatalyst in the supercritical environment by Somayeh Zonoubi, Mohammad Barati, Mohammad Ghanbari, Masood Hamadanian

“…Abstract Hydrodeoxygenation (HDO) of Chlorella vulgaris bio-oil as a renewable energy source was evaluated in a supercritical fluid mixture as both a hydrogen donor and solvent, with and without the Pd-Ni/γ-Al₂O₃ nanocatalyst. …”
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In Vitro Production of Plantlets and Microrhizomes, Genetic Fidelity Assessment, and Metabolic Profiling of <i>Boesenbergia rotunda</i> (L.) Mansf. by Kankamon Thepthong, Supanath Kanjanawattanawong

“…These findings support the development of efficient micropropagation methods and highlight MRZ as a source of diverse bioactive compounds, contributing to the medicinal value of <i>B. rotunda</i> in sustainable and large-scale production.…”
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The Effect of Land Clearing Techniques on the Chemical and Biological Character of Soil in Sugarcane Fields by Anna Kusumawati, Lintang Panjali Siwi Pambayun

“…Therefore, this study recommends that sugarcane residues be returned to the land as a source of organic matter to maintain soil health, biodiversity, and optimal productivity.…”
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A dynamic early warning model based on LSTM-AM for property-based elderly care resource shortages in urban-rural integrated counties in China by Qingheng Sun

“…Results show that, taking Xuchang City, Henan Province as an example, by integrating multi-source time-series data such as county-level population aging rates, property-based elderly care service coverage rates, community facility maintenance data, and resident demand feedback, the model’s prediction error (MAE ≤ 0. 12, RMSE ≤ 0. 18) was reduced by 35% compared to traditional methods, and the warning accuracy (F1-score = 0. 89) was significantly superior to traditional models. …”
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A review of mangrove degradation assessment using remote sensing: advances, challenges, and opportunities by Shan Wei, Hongsheng Zhang, Jing Ling

“…We summarized the remote sensing approaches employed, the specific proxies or indicators derived from remote sensing data to characterize mangrove degradation, the primary remote sensing datasets utilized and remote sensing image classification methods. We also identified the key challenges (e.g. lack of optimal proxies, confusions between true degradation and natural variability) and emerging opportunities for future research in the remote sensing-based assessment of mangrove degradation. …”
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Integrative radiomics of intra- and peri-tumoral features for enhanced risk prediction in thymic tumors: a multimodal analysis of tumor microenvironment contributions by Liang zhu, Jiamin Li, Xuefeng Wang, Yan He, Siyuan Li, Shuyan He, Biao Deng

“…These selected features were then used to train machine learning models, which were optimized on the training dataset and assessed for predictive performance. …”
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Recent Advances and Strategies for Co‐Based Catalysts in Ammonia Decomposition for Hydrogen Production by Sujin Kim, Young Woo Kim, Iljun Chung, Chaeeun Lim, Kijung Yong, Yongju Yun

“…Key strategies to enhance the hydrogen formation rate include optimizing the Co precursor and synthesis methods, incorporating a second active metal and promoters, tuning the physical properties of the catalyst, and doping heteroatoms into the support. …”
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Stem Cell Perspective for Regenerative Wound Healing: from Biology toward Future Clinical Directions: A Review by Nahid Nasiri, Fatemeh Haghdoost, Masoud Habibi, Mohsen Fateh, Shaghayegh Gholami, Seyed Mehdi Tabaie

“…Despite the therapeutic progress, key issues, such as optimal cell sourcing, cell dosage, delivery modalities, andlong-term safety profiles, there are a number of unresolved issues which need to be dealt with. …”
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Robust Radio Frequency Fingerprinting With Signal Denoising and Stacked Multivariate Ensemble Learning for Secure Wireless Communications by Syed Usman Ali Shah, Muhammad Usama Zahid, Syed Abuzar H Shah, Saeed Ur Rehman, Dan Komosny

“…Experimental results on real-world walkie-talkie datasets, as well as two open-source benchmark datasets for cellphones and drones, demonstrate that the proposed method outperforms state-of-the-art deep learning approaches in both accuracy and robustness.…”
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