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  1. 4421
  2. 4422

    Photodiagnosis and photodynamic recognition of cervical cancer with SEM and AFM images. by Sevcan Aytaç, Gürkan Özbey

    Published 2025-01-01
    “…But, it was observed that the volume of particles of the mAFM images has been smaller than nAFM and bAFM images.…”
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    Article
  3. 4423

    “intelligent Read Across (iRA)”- A tool for read-across-based toxicity prediction of nanoparticles by Souvik Pore, Kunal Roy

    Published 2025-01-01
    “…Their small size allows these particles to penetrate biological systems and interact with intracellular components, which may pose significant health risks to humans and other organisms. …”
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    Article
  4. 4424

    Research on recycling value grading and real-time perception of rock debris from TBM tunneling by Weiqi Yue, Weilin Su, Zhanfei Gu, Xiao Qu

    Published 2025-04-01
    “…Leveraging a comprehensive database that encompasses both tunnel rock debris performance indicators and TBM tunneling parameters, perception models are constructed using different machine learning algorithms. After Bayesian hyperparameter optimization, the perception models based on CART, SVM, KNN, and ANN demonstrate accuracies of 67.5%, 80.0%, 82.5%, and 83.8% respectively. …”
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    Article
  5. 4425

    Forecasting High‐Speed Solar Wind Streams From Solar Images by Daniel Collin, Yuri Shprits, Stefan J. Hofmeister, Stefano Bianco, Guillermo Gallego

    Published 2025-01-01
    “…Abstract The solar wind, a stream of charged particles originating from the Sun and transcending interplanetary space, poses risks to technology and astronauts. …”
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    Article
  6. 4426

    Application of Artificial Intelligence in Prosthodontics in the 21st century by Lavanya V, Keerthivasan MS, Venkatakrishnan CJ, Tamizhesai BV, Anandh V

    Published 2025-01-01
    “…In removable prosthodontics convolutional neural networks CNNs have enabled accurate classification of partially edentulous arches and prediction of facial aesthetics. …”
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    Article
  7. 4427

    A COMPARATIVE ANALYSIS OF DEEP TRANSFER LEARNING TECHNIQUES FOR MAMMOGRAPHIC IMAGE CLASSIFICATION by Bhavesh Gupta, Akshay Singh, Anjana Gosain

    Published 2024-12-01
    “…For the same, the Deep Learning algorithms with transfer learning models are utilized, already trained with ImageNet database, and partially training them on the small mammography images database and thus help to diagnose it without the need for large datasets or tissue analysis (biopsy). …”
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    Article
  8. 4428

    Synthesis of the Spatial Arrangement of Magnetic Field Sensors for Active Magnetic Field Shielding Systems of Overhead Power Lines by Kuznetsov B.I., Nikitina T.B., Bovdui I.V., Voloshko O.V., Kolomiets V.V., Kobylianskyi B.B.

    Published 2024-02-01
    “…Solution of the minimax vector optimization problem, calculated on the basis of optimization algorithms for a multi-swarm of particles from Pareto-optimal solutions, taking into account the parameters of binary relations. …”
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    Article
  9. 4429

    Innovations of Contemporary Artificial Intelligence: Value-Based Approach by R. I. Mamina, A. V. Ilina

    Published 2025-02-01
    “…In this regard, the formalization of moral values and ethical principles in the process of developing and operating AI algorithms is important for the value-oriented human-AI interaction. …”
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    Article
  10. 4430

    An efficient parallelization technique for the coupled problems of fluid, gas and plasma mechanics in the grid environment by Andrii Zinchenko, Unai Fernandez-Gamiz, Dmytro Redchyts, Olga Gorna, Tetiana Bilousova

    Published 2025-03-01
    “…The simulation results for partially ionized separated flow behind the circular cylinder are analysed. …”
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    Article
  11. 4431

    Comparing MEG and EEG measurement set-ups for a brain-computer interface based on selective auditory attention. by Dovilė Kurmanavičiūtė, Hanna Kataja, Lauri Parkkonen

    Published 2025-01-01
    “…Employing whole-scalp MEG recordings and offline classification algorithms has been shown to enable high accuracy in tracking the target of auditory attention. …”
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    Article
  12. 4432

    Spectral Variation and Corresponding Changing Mechanism of Suspended Particulate Material Absorption in Poyang Lake during Flood Periods by Yuandong Wang, Xibin You, Lianfang Yu, Lihong Meng, Xiangming Xu, Guangxu Liu

    Published 2018-01-01
    “…Due to variations in phytoplankton community pigment composition, concentration, and package effect, there exists a difference between optical absorption capacity on blue (440) and red (675) portions of bands, the former of which had an obvious enhancement due to the increased effect of accessory pigments in suspended phytoplankton particles from July to September. Evidence also presented that the nonlinear dependency of specific phytoplankton particulate absorption on pigment concentration for various trophic statuses in different periods could be unstable due to relative contributions of the package effect and accessory pigments; this could bring uncertainties to the parameterization of optical models and remote sensing algorithms proposed for accurate applications in lake water environment monitoring.…”
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    Article
  13. 4433

    In vivo variability of MRI radiomics features in prostate lesions assessed by a test-retest study with repositioning by Kevin Sun Zhang, Christian Jan Oliver Neelsen, Markus Wennmann, Thomas Hielscher, Balint Kovacs, Philip Alexander Glemser, Magdalena Görtz, Albrecht Stenzinger, Klaus H. Maier-Hein, Johannes Huber, Heinz-Peter Schlemmer, David Bonekamp

    Published 2025-08-01
    “…Abstract Despite academic success, radiomics-based machine learning algorithms have not reached clinical practice, partially due to limited repeatability/reproducibility. …”
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    Article
  14. 4434

    Impact of tertiary lymphoid structure-associated biomarkers on pancreatic cancer via a dual-disease analysis of psoriasis and pancreatic cancer by Hao Yu, Quan Yuan, Liu-Xing Feng, Jia-Huan Xu, Shen-Yuan Zhan, Zhi-min Li, Shuang-Jia Wang

    Published 2025-07-01
    “…Psoriasis, a common hereditary skin disorder involving genetic, immune, and environmental factors, is only partially understood and has been linked to an elevated risk of various cancers, including PC. …”
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    Article
  15. 4435

    MicroRNA-1912 regulates cholesterol homeostasis by targeting PCSK9 by Chan Joo Lee, Myeongjune Go, Sae-Bom Jeon, Sun-Ho Lee, Dongkook Min, So Hee Park, Seunghyun Lee, Sahng Wook Park

    Published 2025-09-01
    “…This study aimed to explore miRNA candidates for PCSK9 regulation and to validate the most potent miRNA for this regulation in vivo. Bioinformatic algorithms identified miRNAs regulating PCSK9, with miR-224 and miR-1912 showing a high probability of targeting PCSK9. …”
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    Article
  16. 4436

    Hybrid Active-Passive Shielding of Magnetic Field of Overhead Power Lines with Triangular Phase Conductors Arrangements by Kuznetsov B.I., Kutsenko A.S., Nikitina T.B., Bovdui I.V., Chunikhin K.V., Dobrodeyev P.N.

    Published 2023-08-01
    “…The solution of a multicriteria game is found on the basis of algorithms for optimizing a multi-swarm of particles from Pareto optimal solutions, taking into account binary preference relations. …”
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    Article
  17. 4437

    Emerging analytical frontiers in microplastic detection: From spectroscopy to smart sensor technologies by Jen-Tai Lin, Ya-Ping Chung, Yen-Yi Lee, Tong-Lin Wu, Thao Thi Thu Huynh, Phung Thi Nguyen, Mei-Jou Lu, Bo-Wun Huang, Balasubramanian Sriram, Sea-Fue Wang, Guo-Ping Chang-Chien, Sakthivel Kogularasu, Wan-Ching Lin

    Published 2025-12-01
    “…Microplastics (MPs) and nanoplastics (NPs), defined as synthetic polymeric particles smaller than 5 mm and 1 μm, respectively, have emerged as pervasive and persistent pollutants across aquatic, terrestrial, and atmospheric environments, as well as within biological systems. …”
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    Article
  18. 4438

    Markarian Multiwavelength Data Center (MMDC): A Tool for Retrieving and Modeling Multitemporal, Multiwavelength, and Multimessenger Data from Blazar Observations by N. Sahakyan, V. Vardanyan, P. Giommi, D. Bégué, D. Israyelyan, G. Harutyunyan, M. Manvelyan, M. Khachatryan, H. Dereli-Bégué, S. Gasparyan

    Published 2024-01-01
    “…Another important distinguishing feature of MMDC is its ability to enable precise, self-consistent theoretical modeling of the observed data using machine learning algorithms trained on leptonic and lepto-hadronic models, which consider the injection of particles and all relevant cooling processes. …”
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    Article
  19. 4439

    HARMFUL CONDITIONS ON THE DENTAL STATUS OF POULTRY FARM WORKERS by T. Pupin, O. Kardashevska

    Published 2018-03-01
    “…It consists mainly of organic particles as feathers, dandruff and excrement of birds. …”
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    Article
  20. 4440

    Digitalization of Spectral Measurements in the Fourier Basis – Development Trends and Problems by O. V. Ponomareva, A. V. Ponomarev, N. V. Smirnova

    Published 2019-09-01
    “…As the analysis showed, existing methods of dealing with the negative effects of digitalization of spectrum measurements solve the problems of introducing digital technologies only partially. To combat the negative effects of digitalization of spectral measurements, a generalization of the DFT in the form of a parametric DFT (DFT-P) (Parametric Discrete Fourier Transform – DFT-P) is proposed.The main scientific and applied problems of computerization of signal spectrum measurements are formulated: the development of the theory of digital methods for measuring signal spectra, the creation of new and improvement of existing digital methods for measuring signal spectra, the development of algorithmic, software and metrological software for PRIS and VI for the implementation of DFT-P.…”
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    Article