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  1. 8781

    TXtreme: transformer-based extreme value prediction framework for time series forecasting by Hemant Yadav, Amit Thakkar

    Published 2025-01-01
    “…Unlike traditional datasets, time series data points are influenced by their past values, necessitating specialized techniques to model these sequential dependencies specifically addressing non-linear patterns, abrupt changes, and outliers. The latest advancements have significantly enhanced TSF using machine learning and other methods. …”
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  2. 8782

    The role of folklore in shaping the Leukonese characters: An anthropolinguistic study by Tasnim Lubis, T. Thyrhaya Zein, Amalia Amalia

    Published 2024-06-01
    “…These traditions often mirror the characteristic patterns of a community.…”
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  3. 8783

    Time series analysis of radiant heat using 75 hours VIIRS satellite day and night band nightfire data by Jyoti U. Devkota

    Published 2020-12-01
    “…Different statistical methodologies are also used to identify hidden groups and patterns which are not obvious by remote sensing. Underlying groups and clusters are formed using Cluster Analysis and Discriminant Analysis. …”
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  4. 8784

    Meta analysis of business valuation solutions – are AI based methods better? by Aljaž Herman, Damijan Mumel, Timotej Jagrič

    Published 2024-11-01
    “…Neural networks excel in analysing complex patterns and adapting to market shifts. However, no single method can capture all nuances, necessitating diverse approaches and acknowledging the subjective nature of valuations. …”
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  5. 8785

    Phonological Processes in Ekegusii Borrowing: A Constraint-based Approach by Edinah Mose

    Published 2021-12-01
    “…The two hundred tokens were then subjected to the sampled speakers through interviews to realize the sound patterns in the Ekegusii borrowing process overtly. …”
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  6. 8786

    From Vision to Reality: The Use of Artificial Intelligence in Different Urban Planning Phases by Frank Othengrafen, Lars Sievers, Eva Reinecke

    Published 2025-01-01
    “…The key to this is “machine learning” that has the ability to recognise patterns, capture models, and learn on the basis of big data via the application of automated statistical methods. …”
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    Article
  7. 8787

    Impact of trainability on telomere dynamics of pet dogs (Canis lupus familiaris): An explorative study in aging dogs. by Julia Weixlbraun, Durga Chapagain, Jessica Svea Cornils, Steve Smith, Franz Schwarzenberger, Franz Hoelzl

    Published 2025-01-01
    “…The relative telomere length of 63 dogs was measured, using a qPCR method and a model selection approach was applied to assess which variables can explain the found telomere patterns. Results revealed a strong association of the behavioral factor called trainability and telomere change. …”
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  8. 8788

    Exploring the Caregiver Role after Deep Brain Stimulation Surgery for Parkinson’s Disease: A Qualitative Analysis by Suzette Shahmoon, Patricia Limousin, Marjan Jahanshahi

    Published 2023-01-01
    “…A content analysis showed (1) how these 8 caregivers shared less than half as many self-reflections than the other caregivers, (2) that there was a bias to reflect on their partner’s experience answering the opening question, (3) the bias continued when answering subsequent questions, and (4) there was a lack of awareness of this bias. No other patterns of behaviour or themes were able to be extracted. …”
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  9. 8789

    Visual and Chemical Prey Cues as Complementary Predator Attractants in a Tropical Stream Fish Assemblage by Chris K. Elvidge, Grant E. Brown

    Published 2012-01-01
    “…These differences in predator attraction patterns demonstrate complementary effects of multiple sensory cues on the short-term habitat use and foraging behaviour of predators under fully natural conditions.…”
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  10. 8790

    Effects of Drought Frequency on Growth Performance and Transpiration of Young Black Locust (Robinia pseudoacacia L.) by Dario Mantovani, Maik Veste, Dirk Freese

    Published 2014-01-01
    “…We aimed to investigate the effect of drought stress applied during the resprouting on the drought tolerance of the plant, by examining the black locust growth patterns. We exposed young trees in lysimeters to different cycles of drought. …”
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  11. 8791

    Transtheoretical-Based Model of Intervention for Diabetes and Prediabetes: A Scoping Review by Daniel Miezah, Mustapha Amoadu, Priscilla Nyamekye Opoku, Enoch Mensah Junior, Jethro Zutah, Paul Obeng, Jacob Owusu Sarfo

    Published 2024-01-01
    “…Diabetes is considered a public health problem worldwide, fostered by population growth, an increase in the overall quality of life, changes in dietary patterns, modifications in lifestyle habits, and the natural process of getting older. …”
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  12. 8792

    Big data and urban form: a systematic review by Vladan Djokić, Aleksandra Djordjević, Aleksandra Milovanović

    Published 2025-01-01
    “…The paper aims to structure knowledge into a coherent framework, reveal relationships and patterns, create a valuable classification for future research, and identify gaps within the research field. …”
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  13. 8793

    The structure of egg batches, number of eggs and egg hatching rates of pine processionary moth Thaumetopoea pityocampa (Denis & Schiffermüller, 1775) / Thaumetopoea wilkinsoni Tams... by Cansu Keleş, Saliha Voyvot, Ertuğrul Bilgili

    Published 2018-12-01
    “…In this study, the structure of egg batches, number of eggs, egg-laying patterns and egg hatching rates of the insect were investigated. …”
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  14. 8794

    Herbal remedies as a potential alternative therapy for arthritis by Disha Trivedi, Riya Jayapal Roja, Eva Künnemann

    Published 2023-12-01
    “…These are marked by specific molecular patterns and immunological pathways that lead to chondrolysis and destruction of cartilage. …”
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  15. 8795

    Hypertension Detection Using Passive-Aggressive Algorithm With The PA-I And PA-II Methods by M. Hafidz Ariansyah, Sri Winarno

    Published 2023-03-01
    “…Researchers get detection results using a branch of AI technology, namely machine learning to find new knowledge from data and find patterns to make diagnoses. Researchers use machine learning that can explore large amounts of data sets to produce knowledge that is beneficial to science. …”
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  16. 8796

    Effects of emigration on home range and behavior of Atlantic spotted dolphins (Stenella frontalis) by Brittini A. Hill, Denise L. Herzing, Jeremy M. Bono

    Published 2024-04-01
    “…This is a major finding on how displacement can affect behavior and ranging patterns in a cetacean population.…”
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  17. 8797

    Recommendations for Plyometric Training after ACL Reconstruction – A Clinical Commentary by Matthew Buckthorpe, Francesco Della Villa

    Published 2021-06-01
    “…After ACLR, the patient experiences alterations of joint mobility, gait and movement patterns, neuromuscular function and general physical fitness. …”
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  18. 8798

    CONTEMPORARY RUSSIAN POLICY IN THE MIDDLE EAST: STRATEGIC GOALS AND TACTIC ACTIONS by O. A. Kolobov

    Published 2017-11-01
    “…Furthermore, an attempt is made to clearly define strategic goals and characterize the patterns of tactical actions of the Russian government within the entire Middle East territory. …”
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  19. 8799

    About Innovative Content of Subject-Oriented Pedagogical Education by R. M. Asadullin

    Published 2019-11-01
    “…This means the creation of a special educational system in a pedagogical university, which can provide a harmonious and synchronous mastering by future specialists of both subject knowledge and methods of pedagogical activity.The article provides a theoretical study aimed at identifying key patterns of designing a new content for teacher education, the basis of which is the formation of a future teacher as a subject of his own professional activity. …”
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  20. 8800

    Experience in applying large language models to analyse quantitative sociological data by E. G. Ashikhmin, V. V. Levchenko, G. I. Seletkova

    Published 2025-01-01
    “…The article also discusses the role of the LLM in empowering the sociological research, especially in the areas of analysing big data and discovering hidden patterns. Finally, the authors suggest paths for future research in the application of the LLM in sociology, including the development of new methods and tools for integrating the LLM into the sociological research.…”
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