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  1. 1421

    Research Progress on High-Intermediate Frequency Extension Methods of SEA by Jintao Su, Ling Zheng, Zhaoxiang Deng, Yuhan Jiang

    Published 2019-01-01
    “…First, coupling loss factor (CLF) error propagation and parameter acquisition in classical SEA are introduced, and the three relative error calculation methods of CLF are compared. …”
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  2. 1422

    LEVELS OF NICOTINE ADDICTION IN CONSUMERS OF THE LATEST TOBACCO PRODUCTS by Svitlana Kozii-Bredelieva, Iryna Kovalska

    Published 2023-10-01
    “…Regarding classic cigarette smokers and ECN smokers, the median nicotine addiction score is higher in men, whereas in TPEH smokers it is the same for both men and women. …”
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  3. 1423

    Clinical presentation of human leptospirosis in febrile patients: Urabá, Colombia. by Pablo Uribe-Restrepo, Janeth Perez-Garcia, Margarita Arboleda, Claudia Munoz-Zanzi, Piedad Agudelo-Florez

    Published 2024-09-01
    “…<h4>Background</h4>Leptospirosis is responsible for various clinical syndromes, classically linked with fever and acute kidney injury.…”
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  4. 1424

    Euodiae Fructus: a review of botany, application, processing, phytochemistry, quality control, pharmacology, and toxicology by Yule Hao, Jiawen Qi, Xinggui Huang, Chenhao Liu, Yi Liu

    Published 2025-01-01
    “…Euodiae Fructus (EF) is the dried and nearly ripe fruit of Euodia rutaecarpa, first recorded in Shen Nong’s Herbal Classic. EF is a versatile Traditional Chinese Medicine (TCM) known for the effects of dispelling colds and alleviating pain, suppressing adverse qi to relieve vomiting, and boosting yang to mitigate diarrhea. …”
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  5. 1425

    Glioblastoma with Both Oligodendroglioma and Primitive Neuroectodermal Tumor-Like Components in a Case with 9-Year Survival by Ying-Tso Chen, Shu-Shong Hsu, Chi-Man Yip, Ping-Hong Lai, Huai-Pao Lee

    Published 2018-01-01
    “…She underwent the first craniectomy for tumor removal, and histopathology revealed classic GBM. Tumor recurrence occurred 8 years later. …”
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  6. 1426

    Advantages of Logarithmic Signatures in the Implementation of Crypto Primitives by Yevhen Kotukh, Hennadii Khalimov

    Published 2024-06-01
    “…In 1994, Shor showed that these classical complex problems can be easily solved on a large-scale quantum computer.  …”
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  7. 1427

    Specifics of Transformation Projects in Universities and the Work of the Project Team by S. N. Apenko, G. Z. Efimova, M. Yu. Semenov

    Published 2023-04-01
    “…The transformation projects implemented in universities are associated with many diverse problems, key among which were: the destruction of agreements due to geopolitical risks; lack or complete absence of funding; varying financial success of projects; disunity of the team and lack of understanding of common goals and objectives of the project; lack of practical implementation of the project, etc.The success of the transformation project is signaled by both classical criteria called in the theory and practice of project management, for example, compliance with project deadlines, project execution within the allocated resources, and criteria less frequently mentioned in research, for example, the development of the project team, the formation of project values and norms of project culture, satisfaction of stakeholders and others. …”
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  8. 1428

    Chromosomes and speciation in tuco-tuco (Ctenomys, Hystricognathi, Rodentia) by A. A. Torgasheva, E. A. Basheva, M. J. Gomez Fernandez, P. Mirol, P. M. Borodin

    Published 2016-09-01
    “…These results cast doubt on the validity of the classic version of the hypothesis. Analysis of chromosome behavior in the meiotic prophase in the chromosomal heterozygotes revealed significant changes in the frequency and distribution of recombination: crossingover suppression around the breakpoint and chiasma distalization. …”
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  9. 1429
  10. 1430

    COURAGE AND FEAR IN THE CONTEXT OF OPPOSITION OF HUMAN ACTIVITY AND INACTIVITY: EXISTENTIAL ASPECT by Dmytro Yu. Snitko

    Published 2013-12-01
    “…In the course of this research it was found out that fear is closely connected with passive modes of human being. If classical philosophy placed emphasis on courage and associated fear with human mind and conscious decision, non-classical philosophy of the XIX century and existentialism focused on existential and ontological character of fear, its fundamental mean-ing. …”
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  11. 1431

    COURAGE AND FEAR IN THE CONTEXT OF OPPOSITION OF HUMAN ACTIVITY AND INACTIVITY: EXISTENTIAL ASPECT by Dmytro Yu. Snitko

    Published 2013-12-01
    “…In the course of this research it was found out that fear is closely connected with passive modes of human being.  If classical philosophy placed emphasis on courage and associated fear with  human mind and conscious decision,  non-classical philosophy of the XIX century and existentialism focused on existential and ontological character of fear, its fundamental meaning. …”
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    Article
  12. 1432
  13. 1433

    Insider threat detection based on operational attention and data augmentation by Guanyun FENG, Cai FU, Jianqiang LYU, Lansheng HAN

    Published 2023-06-01
    “…In recent years, there has been an increased focus on the issue of insider threats.Insider threats are a major cause security breaches in organizations and pose an ongoing challenge.By analyzing the existing insider threat data, it was identified that the biggest challenge in insider threat detection lies in data imbalance and the limited number of labeled threat samples.In the Cert R4.2 dataset, which is a classic dataset for insider threat detection, there are over 3.22 million log data, but only 7,423 are marked as malicious operation logs.Furthermore, most of the operation types in the logs are not related to malicious behavior, and only two types of operations are highly correlated with malicious behavior, such as leaking company data, creating interference in the detection process.To address this challenge, a data processing framework was designed based on operational attention and data augmentation.Anomaly evaluation was first performed on operations by the framework, and operations with low anomaly scores were then masked.This makes the model better focus on operations related to malicious behavior, which can be considered as a hard attention mechanism for operations.Next, the characteristics of the insider threat dataset were analyzed, and three rules were designed for data augmentation on malicious samples to increase the diversity of samples and alleviate the substantial imbalance between positive and negative samples.Supervised insider threat detection was regarded as a time-series classification problem.Residual connections were added to the LSTM-FCN model to achieve multi-granularity detection, and indicators such as precision rate and recall rate were used to evaluate the model.The results indicate superior performance over existing baseline models.Moreover, the data processing framework was implemented on various classic models, such as ITD-Bert and TextCNN, and the results show that the methods effectively improve the performance of insider threat detection models.…”
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  14. 1434

    Influence of Non-Structural Localized Inertia on Free Vibration Response of Thin-Walled Structures by Variable Kinematic Beam Formulations by Alfonso Pagani, Francesco Zangallo, Erasmo Carrera

    Published 2014-01-01
    “…Several beams are analysed and the results are compared to those from classical beam theories, 2D plate/shell, and 3D solid models from a commercial FEM code. …”
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  15. 1435

    Molecular saturation determines distinct plasmonic enhancement scenarios for two-photon absorption signal by Saeid Izadshenas Jahromi, Karolina Słowik

    Published 2025-01-01
    “…The expected TPA signal enhancement is evaluated using classical estimations based on the assumption of independent enhancement of absorption and fluorescence. …”
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  16. 1436

    IMPROVING THE RESULT OF STUDENTS’ LEARNING ON SQUARE AND RECTANGLE MATERY THROUGH COLLABORATIVE LEARNING AT CLASS VII MTS YTPI AL-BUKHARI MUSLIM by Nurul Rafiqah Nasution

    Published 2023-11-01
    “…The results of this study indicate that learning by implementing collaborative learning for the cycle I of 23 students on the test I learning outcomes there are 16 students (69,57%) who achieve mastery learning, while 7 more students (30,43%) have not achieve mastery learning with classical completeness of 69.57%. In the learning outcomes test II for the cycle II has reached as many as 19 students learning completeness (82,61%), while 4 students (17,39%) have not achieved mastery learning with classical completeness of 82,61% to obtain improved learning outcomes mathematics in cycle I and cycle II was 13,04%. …”
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  17. 1437

    On the Non-Obviousness of Our Readiness for the Choice and Mastering of Our Nature by Z.Z. Ibragimova

    Published 2016-08-01
    “…The following tasks are fulfilled during the research: to refine the understanding of traditional, non-classical, and post-non-classical views on the non-obviousness of our readiness for choice and mastering of our nature; to identify the reasons for the author’s cautiously optimistic attitude to understanding of the human nature; to answer the question of whether humans have control over their power. …”
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  18. 1438

    The Spirit and Holy Spirit in The Quran and its Exegeses by Mohammad Makdod

    Published 2024-12-01
    “…The study relies on a combination of classical exegetical methods, incorporating both narration-based exegesis (tafsīr bi-l-ma'thūr), such as the works of al-Ṭabarī and al-Baghawī, and reasoning-based exegesis (tafsīr bi-l-ra'y), as exemplified by the works of Imām Fakhr al-Dīn al-Rāzī. …”
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  19. 1439

    IMPLEMENTASI METODE CONCEPT MAPPING UNTUK MENINGKATKAN HASIL BELAJAR SAINS DAN KREATIVITAS SISWA KELAS VI SDN BENER 01 TAHUN PELAJARAN 2017/2018 by Sudjinah Sudjinah

    Published 2018-05-01
    “…The learning outcomes in cycle II showed that learning completeness in the classical reach 82%. While the creativity of students showed 29% of students with very creative category, 65% category creative enough and 6% creative enough. …”
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  20. 1440

    Effect of Depth Band Replacement on Red, Green and Blue Image for Deep Learning Weed Detection by Jan Vandrol, Janis Perren, Adrian Koller

    Published 2024-12-01
    “…In both instances, the classic RGB approach yielded lower accuracies of 0.574 and 0.613.…”
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