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  1. 201

    Structure and dynamics analysis of brain functional hypernetworks based on the null models by Chen Cheng, Yao Li, Chunyan Wang, Yanli Yang, Hao Guo

    Published 2025-01-01
    “…Brain functional hypernetworks that can characterize the complex and multivariate interactions among multiple brain regions have been widely used in the diagnosis and prediction of brain diseases. …”
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  2. 202
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  4. 204

    Revitalizing Nusantara Traditions through Interactive Cultural Experiences with Augmented Reality Technology by Aisyah Mutia Dawis, Sigit Setiyanto, Irfan Sadida, Faiq Fadhil Dzulfiqar Bariq

    Published 2024-11-01
    “…The "Imersi Budaya Nusantara" application has been successfully implemented and tested. The results of functionality and usability testing indicate that the application performs well and is user-friendly. …”
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    Article
  5. 205

    Expanding the C-S-R framework to incorporate microbial interactions: evidence from methane-consuming communities by Rui Wang, Yuru Chen, Binyan Zhai, Sascha M. B. Krause

    Published 2025-05-01
    “…Microbial interactions are critical in shaping community assembly and ecosystem functioning, yet classical ecological frameworks such as Grime’s Competitor-Stress Tolerator-Ruderal (C-S-R) model primarily emphasize individual traits, overlooking interspecies dependencies. …”
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  6. 206

    Association of the interaction between occupational hazard factors and IL-1β gene polymorphism with cognitive function in electrolytic aluminum workers by Youxing Li, Youxing Li, Yaqin Pang, Yaqin Pang, Yaqin Pang, Dongshun Chen, Feiyu Lu, Hongyan Tian, Fengni Qin, Kuntao Wei, Ahmad Razali Bin Ishak, Mohd Shukri Bin Mohd Aris, Mohd Shukri Bin Mohd Aris, Guangzi Qi

    Published 2025-06-01
    “…BackgroundVarious occupational hazards in the electrolytic aluminum environment have been linked to cognitive decline. However, the interactive effects of these hazards and genetic factors on cognitive function remain unclear.ObjectiveThis study aimed to identify the primary occupational hazards, examine their interaction with IL-1β gene polymorphisms in relation to cognitive function.MethodsA cross-sectional study was conducted in June 2024 at an electrolytic aluminum company in China, involving 478 male workers. …”
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  7. 207

    The time-changed stochastic approach and fractionally integrated processes to model the actin-myosin interaction and dwell times by Nikolai Leonenko, Enrica Pirozzi

    Published 2025-03-01
    “…We propose two stochastic models for the interaction between the myosin head and the actin filament, the physio-chemical mechanism triggering muscle contraction and that is not yet completely understood. …”
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  8. 208

    RNA helicase maheshvara interacts with TDP-43 and exacerbates neurodegeneration in Drosophila model of amyotrophic lateral sclerosis by Pranjali Pandey, Rituparna Das, Harshita Yadav, Ashim Mukherjee, Mousumi Mutsuddi

    Published 2025-10-01
    “…Drosophila maheshvara (mahe) encodes a conserved DEAD box RNA helicase that regulates various important signaling pathways like Notch and JAK/STAT, pathways that have been functionally implicated in neuronal development. In order to identify novel modulators of mahe as well as to unravel its role in neurodegenerative disorders, a genetic modifier screen using Drosophila models of neurodegenerative disorders was carried out. …”
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  9. 209

    A Networked Game Theoretic Model for Evaluating Resilience in Megaprojects: Integrating Stakeholder Interactions and Lifecycle Adaptability by Hongsi Zhang, Shukai Jiang, Xingwu Lin, Xiang Yu, Wenjiang Zheng

    Published 2025-02-01
    “…The framework optimizes a stakeholder’s utility function by balancing marginal benefits, costs, and interaction effects, ensuring rational and adaptive weight distribution. …”
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    Article
  10. 210

    Modeling neuroinflammatory interactions between microglia and astrocytes in a human iPSC-based coculture platform by Iisa Tujula, Tanja Hyvärinen, Johanna Lotila, Julia Rogal, Dimitrios Voulgaris, Lassi Sukki, Kaisa Tornberg, Katri Korpela, Henna Jäntti, Tarja Malm, Anna Herland, Pasi Kallio, Susanna Narkilahti, Sanna Hagman

    Published 2025-06-01
    “…Importantly, the microfluidic coculture platform established in this study provides a more functional and advanced setup for investigating inflammatory glial interactions in vitro.…”
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    Investigating the Interactions of Peptide Nucleic Acids with Multicomponent Peptide Hydrogels for the Advancement of Healthcare Technologies by Sabrina Giordano, Monica Terracciano, Enrico Gallo, Carlo Diaferia, Andrea Patrizia Falanga, Antonella Accardo, Monica Franzese, Marco Salvatore, Gennaro Piccialli, Nicola Borbone, Giorgia Oliviero

    Published 2025-05-01
    “…Ultrashort aromatic peptides, such as Fmoc-FF, self-assemble into biocompatible hydrogels with nanostructured architectures. The functionalization of tripeptides (Fmoc-FFK and Fmoc-FFC) with lysine (K) or cysteine (C) enables electrostatic or covalent interactions with model PNAs engineered with glutamic acid or cysteine residues, respectively. …”
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  13. 213

    Computer quantum-chemical simulation of the interaction of calcium carbonate with biopolymers by M. A. Pirogov, A. V. Blinov, I. M. Shevchenko, M. A. Yasnaya, A. A. Gvozdenko, A. B. Golik, Z. A. Rehman

    Published 2024-03-01
    “…At the first stage, modeling of the calcium carbonate molecule and molecules of chitosan, methylcellulose, hydroxyethylcellulose, hyaluronic acid was carried out, then the molecular complex ―calcium carbonate - biopolymer‖ was considered, in which the interaction of calcium carbonate with biopolymers was considered as the interaction of the calcium atom in calcium carbonate with the functional groups of biopolymers. …”
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  14. 214

    Exploring the trophic interactions in the coral reef ecosystem at the coastal area of Ternate Island using Ecopath model by Faizal Rumagia, Aditiyawan Ahmad, Irwan Abdul Kadir

    Published 2025-07-01
    “…The model comprised 30 functional ecological groups, of which 29 were living groups and one was a group of detritus. …”
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  15. 215

    A transient homotypic interaction model for the influenza A virus NS1 protein effector domain. by Philip S Kerry, Juan Ayllon, Margaret A Taylor, Claudia Hass, Andrew Lewis, Adolfo García-Sastre, Richard E Randall, Benjamin G Hale, Rupert J Russell

    Published 2011-03-01
    “…'Helix-closed' conformations appear to enhance dsRNA binding, and 'helix-open' conformations allow otherwise inaccessible interactions with host factors. Our data support a new model of NS1 regulation in which the RBD remains dimeric throughout infection, while the ED switches between several quaternary states in order to expand its functional space. …”
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  16. 216

    Development of Biological Movement Recognition by Interaction between Active Basis Model and Fuzzy Optical Flow Division by Bardia Yousefi, Chu Kiong Loo

    Published 2014-01-01
    “…Proposed approach follows the interaction between dorsal and ventral processing streams in the original model of the biological movement recognition. …”
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  17. 217

    An agent-based model for elasto-plastic mechanical interactions between cells, basement membrane and extracellular matrix by Gianluca D'Antonio, Paul Macklin, Luigi Preziosi

    Published 2012-11-01
    “…Each BM spring node exchanges adhesive and repulsive forces with the cell agents using potential functions. We model elastic BM-ECM interactions with analogous ECM springs. …”
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  18. 218

    EnGCI: enhancing GPCR-compound interaction prediction via large molecular models and KAN network by Weihao Liu, Xiaoli Li, Bo Hang, Pu Wang

    Published 2025-05-01
    “…Machine learning, particularly deep learning, has become increasingly influential in this domain. Large molecular models, due to their ability to capture detailed structural and functional information, have shown promise in enhancing the predictive accuracy of downstream tasks. …”
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  19. 219

    GNNs and ensemble models enhance the prediction of new sRNA-mRNA interactions in unseen conditions by Shani Cohen, Lior Rokach, Isana Veksler-Lublinsky

    Published 2025-05-01
    “…In this paper, we hypothesize that ML models trained on large-scale interaction data from specific conditions can accurately predict new interactions in unseen conditions within the same bacterial strain. …”
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