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  1. 141
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  3. 143

    Hypoxia‐Driven Neurovascular Impairment Underlies Structural‐Functional Dissociation in Diabetic Sudomotor Dysfunction by Xu Guo, Chao Zhang, Yuzhen Wang, Zhao Li, Yaxin Tan, Dongzhen Zhu, Wei Song, Yi Kong, Jinpeng Du, Yuyan Huang, Liting Liang, Jianjun Li, Mengde Zhang, Linhao Hou, Qinhua Liu, Feng Tian, Bingyang Yu, Yue Kong, Zhenyu Zhou, Xiaobing Fu, Sha Huang

    Published 2025-05-01
    “…Single‐cell RNA sequencing unveiled intricate intercellular communication networks among endothelial cells (ECs), neural cells (NCs), and sweat gland cells (SGCs), emphasizing intricate cellular interactions within the SG microenvironment. Furthermore, an in vitro SGC–NC interaction model (SNIM) was employed to validate the supportive role of NCs in regulating SGC functions, highlighting the neurovascular‐SG axis in diabetic pathophysiology. …”
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    Quantum theory-inspired inter-sentence semantic interaction model for textual adversarial defense by Jiacheng Huang, Long Chen, Xiaoyin Yi, Ning Yu

    Published 2024-12-01
    “…Meanwhile, quantum theory-inspired models that represent word composition as a quantum mixture of words have modeled the non-linear semantic interaction. …”
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  7. 147

    Modeling Energetic Proton Transport from a Stream Interaction Region to Compound Streams by Xinyi Tao, Fang Shen, Xi Luo

    Published 2025-01-01
    “…Energetic proton events associated with a stream interaction region (SIR) were observed by two Solar-Terrestrial Relations Observatory (STEREO) and WIND spacecraft from 2007 September 19 to September 25. …”
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  8. 148

    The use of stem cells and organoids for modeling host-microbe interactions in low-biomass tissues by Claire A. Shaw, Claire A. Shaw, Margo Verstrate, Kinga Graniczkowska, Katie R. Risoen, Katie R. Risoen, Pouya Dini, Bart C. Weimer, Bart C. Weimer

    Published 2025-08-01
    “…Stem cells and organoids have emerged as pivotal biological tools for biologically relevant models. Together, these in vitro models realistically recapitulate structural and functional elements of the in vivo organ, allowing for studies of cellular, molecular, and genetic features that underpin various diseases that are difficult to observe in low-biomass tissues. …”
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  9. 149

    Brain activation and heart rate variability as markers of autonomic function under stress by Annika Huber, Julian Koenig, Bastian Bruns, Martin Bendszus, Hans-Christoph Friederich, Joe J. Simon

    Published 2025-08-01
    “…Abstract Efficient brain–heart interactions, mediated by the central autonomic network (CAN), are crucial in regulating physiological and psychological stress. …”
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  10. 150

    Interaction effect between sleep duration and dynapenic abdominal obesity for predicting functional disability: A longitudinal study by Wenjin Han, Tianmeng Wang, Zhiqiang He, Yaping Wang, Caihua Wang, Shuangyan Lei, Xiaoqin Wang, Ronghua Wang

    Published 2025-04-01
    “…Cox proportional hazard models analyzed the interactions of DAO and sleep duration on functional disability. …”
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  11. 151

    Non-Fermi liquid induced by U(1) gauge-field interactions: A functional renormalization group analysis by Thomas P. Sheerin, Chris A. Hooley

    Published 2025-06-01
    “…We study the non-Fermi-liquid state formed by an isotropic, degenerate Fermi gas in two spatial dimensions interacting with a U(1) gauge field. Our calculation uses the functional renormalization group (fRG) with a soft frequency cutoff for the fermions. …”
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  12. 152

    Using Graph Theory to Assess the Interaction between Cerebral Function, Brain Hemodynamics, and Systemic Variables in Premature Infants by Dries Hendrikx, Liesbeth Thewissen, Anne Smits, Gunnar Naulaers, Karel Allegaert, Sabine Van Huffel, Alexander Caicedo

    Published 2018-01-01
    “…In the present analysis, we use graphs to study the interaction between cerebral function, brain hemodynamics, and systemic variables in premature neonates. …”
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  13. 153

    Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function. by Dana B Hancock, María Soler Artigas, Sina A Gharib, Amanda Henry, Ani Manichaikul, Adaikalavan Ramasamy, Daan W Loth, Medea Imboden, Beate Koch, Wendy L McArdle, Albert V Smith, Joanna Smolonska, Akshay Sood, Wenbo Tang, Jemma B Wilk, Guangju Zhai, Jing Hua Zhao, Hugues Aschard, Kristin M Burkart, Ivan Curjuric, Mark Eijgelsheim, Paul Elliott, Xiangjun Gu, Tamara B Harris, Christer Janson, Georg Homuth, Pirro G Hysi, Jason Z Liu, Laura R Loehr, Kurt Lohman, Ruth J F Loos, Alisa K Manning, Kristin D Marciante, Ma'en Obeidat, Dirkje S Postma, Melinda C Aldrich, Guy G Brusselle, Ting-hsu Chen, Gudny Eiriksdottir, Nora Franceschini, Joachim Heinrich, Jerome I Rotter, Cisca Wijmenga, O Dale Williams, Amy R Bentley, Albert Hofman, Cathy C Laurie, Thomas Lumley, Alanna C Morrison, Bonnie R Joubert, Fernando Rivadeneira, David J Couper, Stephen B Kritchevsky, Yongmei Liu, Matthias Wjst, Louise V Wain, Judith M Vonk, André G Uitterlinden, Thierry Rochat, Stephen S Rich, Bruce M Psaty, George T O'Connor, Kari E North, Daniel B Mirel, Bernd Meibohm, Lenore J Launer, Kay-Tee Khaw, Anna-Liisa Hartikainen, Christopher J Hammond, Sven Gläser, Jonathan Marchini, Peter Kraft, Nicholas J Wareham, Henry Völzke, Bruno H C Stricker, Timothy D Spector, Nicole M Probst-Hensch, Deborah Jarvis, Marjo-Riitta Jarvelin, Susan R Heckbert, Vilmundur Gudnason, H Marike Boezen, R Graham Barr, Patricia A Cassano, David P Strachan, Myriam Fornage, Ian P Hall, Josée Dupuis, Martin D Tobin, Stephanie J London

    Published 2012-01-01
    “…We identified three novel loci not previously associated with pulmonary function. SNPs in or near DNER (smallest P(JMA = )5.00×10(-11)), HLA-DQB1 and HLA-DQA2 (smallest P(JMA = )4.35×10(-9)), and KCNJ2 and SOX9 (smallest P(JMA = )1.28×10(-8)) were associated with FEV(1)/FVC or FEV(1) in meta-analysis models including SNP main effects, smoking main effects, and SNP-by-smoking (ever-smoking or pack-years) interaction. …”
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  14. 154

    Distinction between concepts of “structural-functional-parametric model” and “parametric model” of information knowledge objects by E. N. Kolybenko

    Published 2020-03-01
    “…For this purpose, structural-functional-parametric models and parametric models are respectively used. …”
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  15. 155

    An in vivo “turning model” reveals new RanBP9 interactions in lung macrophages by Yasuko Kajimura, Shuxin Dong, Anna Tessari, Arturo Orlacchio, Alexandra Thoms, Maria Concetta Cufaro, Federica Di Marco, Foued Amari, Min Chen, Shimaa H. A. Soliman, Lara Rizzotto, Liwen Zhang, Damu Sunilkumar, Joseph M. Amann, David P. Carbone, Amer Ahmed, Giuseppe Fiermonte, Mike A. Freitas, Alessia Lodi, Piero Del Boccio, Lino Tessarollo, Dario Palmieri, Vincenzo Coppola

    Published 2025-04-01
    “…The lung RanBP9-V5 associated proteome includes previously unknown interactions with macrophage-specific proteins as well as with players of the innate immune response, DNA damage response, metabolism, and mitochondrial function. …”
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  16. 156

    Analysis of Interactions Between Pyomelanin and the Extracellular Matrix in an Ex Vivo Turkey Tendon Model by Rebecca F. Shepherd, Hanaa A. Galeb, Jade Bentham, Reza Moshrefi, Katelyn Ryan, Nur Adeelah Che Ahmad Tantowi, Sara J. Baldock, Nathan R. Halcovitch, T. Jane Stockmann, John G. Hardy, Jemma G. Kerns, Adam M. Taylor

    Published 2025-06-01
    “…Here, the conjugated polymers derived from homogentisic acid (HGA), polyHGA (a simplified model of pyomelanin), formed in an ex vivo tendon model are examined with a view to understanding interactions between melanins and the extracellular matrix (ECM) using a selection of different analytical techniques, including spectroscopy (energy dispersive X‐ray, infrared, and Raman), X‐ray diffraction, and microscopy (electron, optical, and scanning electrochemical). …”
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    Adaptive Variable Structure Interacting Multiple Model Tracking Algorithm for Hypersonic Glide Vehicle by Zhumu Fu, Dongfeng Wan, Zhikai Wang, Fazhan Tao

    Published 2025-01-01
    “…Additionally, it designs two correction functions and embeds them into the model probability update phase of the adaptive variable structure interacting multiple model algorithm, so that the proposed adaptive variable structure interacting multiple model algorithm can adaptively adjust the transition probability matrix (TPM) according to the probability law of the target maneuver model. …”
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    Resonance for Life: Metabolism and Social Interactions in Bacterial Communities by Eleonora Alfinito, Matteo Beccaria

    Published 2025-03-01
    “…This study uses an agent-based quorum sensing model to explore the relationship between metabolic functions and social behavior in bacteria. …”
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