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  1. 1041

    Zero-day exploits detection with adaptive WavePCA-Autoencoder (AWPA) adaptive hybrid exploit detection network (AHEDNet) by Ahmed A. Mohamed, Abdullah Al-Saleh, Sunil Kumar Sharma, Ghanshyam G. Tejani

    Published 2025-02-01
    “…The first key innovations are the introduction of “Adaptive WavePCA-Autoencoder (AWPA)” for pre-processing stage which address the denoising and dimensionality reduction, and contributes to the general dependability and accuracy of zero-day exploit detection. …”
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    Article
  2. 1042

    Capacity of Histoplasma capsulatum to Survive the Composting Process by Luisa Fernanda Gómez Londoño, Laura Carolina Pérez León, Juan Guillermo McEwen Ochoa, Alejandra Zuluaga Rodriguez, Carlos Alberto Peláez Jaramillo, Jose Miguel Acevedo Ruiz, María Lucia Taylor, Myrtha Arango Arteaga, María del Pilar Jiménez Alzate

    Published 2019-01-01
    “…In the raw material samples, 3 colonies of H. capsulatum were isolated and its DNA was detected. However, after the composting process, neither the fungus was recovered by culture nor DNA was detected. …”
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    Article
  3. 1043

    Pathological processes of the cervix in lichen sclerosus of the vulva by Delya F. Porsokhonova, Avaz Sh. Inoyatov, Nurjanar N. Ilesova

    Published 2025-06-01
    “…Taking into account the possible unity of etiopathogenetic mechanisms causing dysplastic processes of the cervix and vulva, one of the factors leading to synchronous damage to the cervix and external genitalia may be microbial-viral associations from the group of STIs. …”
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    Article
  4. 1044

    Charge-Sensitive Technique for Deformation Processes’ Study by K. U. Pantsialeyeu, U. A. Mikitsevich, A. I. Svistun, R. I. Vorobey, O. K. Gusev, A. L. Zharin

    Published 2022-12-01
    “…The research methodology makes it possible to detect local changes in the surface potential of the material in the area of deformations, which are not detected on a macroscopic scale using standard methods. …”
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    Article
  5. 1045

    Demographic Processes in Developmentally Peripheral Areas of Hungary by János Pénzes, István Zoltán Pásztor, Patrik Tátrai

    Published 2015-12-01
    “… The current study investigates the demographic processes and challenges of the Hungarian developmentally peripheral settlements. …”
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  6. 1046
  7. 1047

    POSSIBLE ABUSES OF ARTIFICIAL INTELLIGENCE IN THE STUDY PROCESS by Srečo Zakrajšek

    Published 2025-01-01
    “…To address these challenges, students suggest that institutions should establish guidelines and rules for the use of AI in the study process, implement programmes to raise awareness about the ethical use of artificial intelligence, use appropriate tools to detect AI abuse, and introduce sanctions where necessary. …”
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  8. 1048
  9. 1049

    Maximum and Minimum Causal Effects of Physical Processes by Giulio Chiribella, Kaumudibikash Goswami

    Published 2025-05-01
    “…These two measures, called the maximum and minimum causal effect, quantify the maximum and minimum changes in the output of a quantum process induced by changes in its input. The maximum and minimum causal effect possesses useful properties, such as continuity and data-processing inequality. …”
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  10. 1050
  11. 1051

    The first data on the role of rhyncholites in the process of epibiota by E. S. Gaponenko, M. A. Ulshin, V. N. Komarov

    Published 2019-11-01
    “…For the first time the role of rhyncholites in the process of epibiota has been figured out. Serpulidae inlay is detected in 39 rhyncholites of 979 specimens, representing 4% of the all studied material. …”
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  12. 1052

    The schistosome oesophageal gland: initiator of blood processing. by Xiao-Hong Li, William de Castro-Borges, Sophie Parker-Manuel, Gillian M Vance, Ricardo Demarco, Leandro X Neves, Gareth J O Evans, R Alan Wilson

    Published 2013-01-01
    “…<h4>Background</h4>Although the ultrastructure of the schistosome esophageal gland was described >35 years ago, its role in the processing of ingested blood has never been established. …”
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  13. 1053

    PET/CT acquisition and processing protocols in the Netherlands by Dennis B. M. Dieckens, Pepijn van Horssen, Koen A. J. van Gils, Arjon J. van Lange, Oleksandra V. Ivashchenko, Wouter J. H. Veldkamp, Adriaan A. Lammertsma, Niels C. Veltman

    Published 2025-06-01
    “…Variations in count statistics, reconstruction, and processing settings for similar-weight patients on comparable PET/CT systems should be further investigated for their impact on lesion detectability.…”
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  14. 1054

    EFFECT OF OXYGEN AVAILABILITY ON β-IONONE FORMATION AS A DEGRADATION PROCESS OF CAROTENOIDS FROM CRUDE PALM OIL BY THERMAL PROCESS by Daimon Syukri, Adlis Santoni, Rini, Ismed, Jaswandi, Ira Desri, Rahmi, Zaibunnisa Abdul, Haiyee, Annisa Rahmi Z.J, Poppy Amelia, Rahadian Zainul

    Published 2025-08-01
    “…The most excellent degradation process was found to be 80%. However, β-ionone was only detected in the air flow treatment of 20 L/h with a value of 0.44 mg/L. …”
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  15. 1055

    Enhancing Manufacturing Processing Stability and Efficiency with Linear-Regression Analysis: Modeling on a Flow-Drill Screw (FDS) Joining Process by Chengxin Zhang, Mario Guzman, Xuzhe Zhao

    Published 2024-09-01
    “…Statistical analysis, such as data visualization, statistical modeling, and other data-driven analysis methods, can be used to detect underlying relationships between variables, investigate variations, and make predictions in the manufacturing process. …”
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  16. 1056

    Finding process-behavioural parameterisations of a hydrological model using a multi-step process-based calibration and evaluation scheme by M. M. Heuer, H. Mohajerani, M. C. Casper

    Published 2025-08-01
    “…<p>Process-behavioural hydrological modelling aims not only at predicting the discharge of an area within a model, but also at understanding and correctly depicting the underlying hydrological processes. …”
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  17. 1057
  18. 1058
  19. 1059

    AM signals with random modulation parameters and their detection by E. OZIMEK, J. KONIECZNY

    Published 2014-01-01
    “…This method involves a mod ulation process in which some selected parameters of the modulation waveform (amplitude or frequency) are subjected to random variation. …”
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  20. 1060

    Parkinson’s Disease Detection Based on Transfer Learning by Mohammad Talal Ghazal

    Published 2024-09-01
    “… The process of diagnosing diseases early is one of the most important goals of the tremendous development in artificial intelligence, and Parkinson’s disease is one of the diseases whose symptoms are similar to many other diseases. …”
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