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  1. 8521

    One Health and planetary health research landscapes in the Arab world by Shaher Zyoud, Sa'ed H. Zyoud

    Published 2025-01-01
    “…Conversely, planetary health presents an irregular growth pattern, with a strong point in the development of this area standing out in 2023. …”
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    Article
  2. 8522

    Trend prediction and influencing factors of the production comparative advantage of China's main apple-producing provinces. by Wenping Ning, Fuhong Zhang, Meiling Zhang

    Published 2024-01-01
    “…Spatially, APCA shows a distribution pattern of "west high, east low". 2) APCA mainly shifted sequentially between neighbouring ranks. …”
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    Article
  3. 8523

    Statistical and numerical investigation of irreversibility for time-dependent Casson-Carreau nanofluid flow driven by curved surface: Regression analysis by P. Kumar, AR. Ajaykumar, F. Almeida, S. Saranya, Qasem Al-Mdallal

    Published 2025-09-01
    “…Statistical and numerical approach is provided in the current article for Casson-Carreau nanofluid transient flow over continuously elongated sheet of curved feature. The flow is subjected under the various generation, Joule heating, non-linear thermal radiation, activation energy, second order slip, and convective peripheral conditions. …”
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    Article
  4. 8524

    Quasiperiodic γ-Ray Modulations in the Blazars PKS 2155-83 and PKS 2255-282 by M. A. Hashad, Amr A. EL-Zant, Y. Abdou, H. M. Badran

    Published 2024-01-01
    “…Here, we study two such curves, which have the interesting feature of pertaining to relatively high-redshift blazars—FSRQs, PKS 2155-83, and PKS 2255-282—observed by the Fermi Large Area Telescope. …”
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    Article
  5. 8525

    An AI‐Enabled Data Processing Pipeline for Ingesting Borehole Data in Peridotite Environments by John M. Aiken, Elliot Dufornet, Hamed Amiri, Lotta Ternieten, Oliver Plümper

    Published 2025-06-01
    “…The study focuses on the alteration of peridotite core segments taken from Borehole BA1B, utilizing a gradient‐boosted trees (CatBoost) regression model trained on an integrated data set of machine‐learning segmented core images, physical measurements, geological, lithographic data, and AI‐summarized expert texts and feature selection. This paper aims to establish a repeatable and efficient pattern for processing such multifaceted data from the well. …”
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    Article
  6. 8526
  7. 8527

    The Krushinsky – Molodkina genetic rat strain as a unique experimental model of seizure states by I. I. Poletaeva, Z. A. Kostyna, N. M. Surina, I. B. Fedotova, Z. A. Zorina

    Published 2017-07-01
    “…The specific seizure pattern, the rodent proneness for audiogenic epilepsy, as well as abnormal postictal states (catalepsy, in particular) illustrate the importance of this phenomenon not only as a model of certain brain pathology, but also as a matter of general biological importance. …”
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    Article
  8. 8528

    Quantification and clustering of immune states in hepatitis B Cirrhosis by Wei Hou, Tengxiao Liang, Fangliang Xing, Zhongjie Hu

    Published 2025-07-01
    “…Analysis across Child-Pugh grades uncovered a cyclical pattern in immune states, reflecting the various stages of the viral infection process. …”
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    Article
  9. 8529

    A Vascularized Multilayer Chip Reveals Shear Stress-Induced Angiogenesis in Diverse Fluid Conditions by Tao Yue, Huiying Yang, Yue Wang, Ning Jiang, Hongze Yin, Xiaoqi Lu, Na Liu, Yichun Xu

    Published 2025-01-01
    “…PC porous membranes act as the capillary in the vertical direction, enabling precise hydrogel patterning and successfully constructing a microfluidic environment suitable for microvascular tissue growth. …”
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    Article
  10. 8530

    Analysis of precancerous lesion-related microRNAs for early diagnosis of cervical cancer in the Thai population by Rooge Suvanasuthi, Suwanit Therasakvichya, Potjanee Kanchanapiboon, Chamras Promptmas, Sarin Chimnaronk

    Published 2025-01-01
    “…Machine learning was used for handling imbalanced data and feature selection before differential expression analysis to identify significantly dysregulated miRNA panels. …”
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    Article
  11. 8531

    Western boundary current system in the Weddell Sea: interplay of thermohaline gradients and wind stress forcing across seasonal scales by Tania Pereira-Vázquez, Borja Aguiar-González, Ángel Rodríguez-Santana, Marta Veny, Ángeles Marrero-Díaz

    Published 2025-07-01
    “…Our analysis well captures the multi-jet structure of bottom-intensified currents, including the Antarctic Coastal Current (CC), Antarctic Slope Front (ASF), Weddell Front (WF), and a newly identified feature, first reported in this work, the Inner Weddell Current (IWC). …”
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    Article
  12. 8532

    H3 lysine 4 is acetylated at active gene promoters and is regulated by H3 lysine 4 methylation. by Benoit Guillemette, Paul Drogaris, Hsiu-Hsu Sophia Lin, Harry Armstrong, Kyoko Hiragami-Hamada, Axel Imhof, Eric Bonneil, Pierre Thibault, Alain Verreault, Richard J Festenstein

    Published 2011-03-01
    “…Our results reveal a novel regulatory feature of promoter-proximal chromatin, involving mutually exclusive histone modifications of the same histone residue (H3K4ac and H3K4me).…”
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    Article
  13. 8533

    A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Met... by A. S. Albahri, Z. T. Al-qaysi, Laith Alzubaidi, Alhamzah Alnoor, O. S. Albahri, A. H. Alamoodi, Anizah Abu Bakar

    Published 2023-01-01
    “…The literature’s findings in terms of the main aspects identified in existing applications of deep learning pattern recognition techniques in SSVEP-based BCI, such as feature extraction, classification, activation functions, validation methods, and achieved classification accuracies, are examined. …”
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    Article
  14. 8534

    C2IDTL: Novel Click to Image Conversion Approach for Deep Transfer Learning in Click Fraud Detection on Digital Platforms by Channa Fernando, Chamila Walgampaya, Janaka Alawatugoda

    Published 2025-01-01
    “…This novel approach embedded the feature importance and spatial structure into synthetic images to enable the identification of complex pattern recognition via DTL models. …”
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    Article
  15. 8535

    A juxtamembrane basolateral targeting motif regulates signaling through a TGF-β pathway receptor in Drosophila. by Aidan J Peterson, Stephen J Murphy, Melinda G Mundt, MaryJane Shimell, Edward B Leof, Michael B O'Connor

    Published 2022-05-01
    “…We explored whether such regulation occurs in the Drosophila wing disc, an epithelial tissue featuring the TGF-β family member Decapentaplegic (Dpp) as a morphogen controlling growth and patterning. …”
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    Article
  16. 8536

    Morphological-Priors-Guided Network With Semantic Booster and Scalable Bins Module for Height Estimation From Single-View Remote Sensing Images by Tao Zhang, Furong Shi, Yuanping Zhu

    Published 2025-01-01
    “…., co-occurrence relationship between shadow buildings and shadow trees) and simultaneously design a semantic booster composed of a two-stream network with a multilevel cross-stream attention fusion mechanism to facilitate the 3-D feature learning for monocular height estimation. …”
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    Article
  17. 8537

    Single target tracking in high-resolution satellite videos: a comprehensive review by Xin Huang, Ding Wang, Qiqi Zhu, Ying Zheng, Qingfeng Guan

    Published 2025-05-01
    “…Different from targets in ordinary videos, targets in satellite videos usually demonstrate the phenomenon of a small size occupation pattern (small) and weak feature capture (dim) due to occlusion, illumination variation, and confusion with the surroundings. …”
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    Article
  18. 8538

    An Improved IoT Based Hybrid Predictive Load Forecasting Model for a Greenhouse Integrated With Demand Side Management by Soumya Ranjan Biswal, Tanmoy Roy Choudhury, Babita Panda, Subhrajyoti Mishra

    Published 2025-01-01
    “…A hybrid predictive model integrating Extreme Gradient Boosting (XGBoost) for static feature learning and Long Short-Term Memory (LSTM) for sequential pattern recognition is proposed, coupled with a priority-based DSM framework deployed on a Raspberry Pi IoT platform. …”
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    Article
  19. 8539

    QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting. by Dominic Waithe, Peter Rennert, Gabriel Brostow, Matthew D W Piper

    Published 2015-01-01
    “…The basis of the QuantiFly software is an algorithm which applies and improves upon an existing advanced pattern recognition and machine-learning routine. …”
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    Article
  20. 8540