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  1. 1941
  2. 1942

    Analysis of drug release models from biodegradable nanomodified chitosan based materials by М. О. Кумеда, Л. Б. Суходуб, Л. Ф. Суходуб

    Published 2024-12-01
    “…The release of CFT from CaP/CS matrices depends on the method of its introduction into the composite - during synthesis or saturation after synthesis. …”
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    Article
  3. 1943

    Low-intensity ultrasound lysis of amyloid microclots in a lab-on-chip model by Reza Rasouli, Brad Hartl, Soren D. Konecky

    Published 2025-06-01
    “…Amyloid microclot models were generated using freeze-thaw cycles followed by incubation. …”
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    Article
  4. 1944

    Development and study of reactive hot-melt extruded granules based on interpolymer combinations of Eudragit® copolymers for indomethacin delivery by S. F. Nasibullin, T. Van Duong, I. Nikolakakis, K. Kachrimanis, G. Van den Mooter, R. I. Moustafine

    Published 2025-03-01
    “…The development of thermal extrusion conditions using the modulated DSC method showed the applicability of this approach for preliminary modelling of the occurring processes. …”
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    Article
  5. 1945
  6. 1946

    A 3D Bio-Printed-Based Model for Pancreatic Ductal Adenocarcinoma by Claire Godier, Zakaria Baka, Laureline Lamy, Varvara Gribova, Philippe Marchal, Philippe Lavalle, Eric Gaffet, Lina Bezdetnaya, Halima Alem

    Published 2024-09-01
    “…Currently, the use of 3D bio-printing is an emerging and promising method for the development of cancer tumor models with reproducible heterogeneity and a precisely controlled structure. …”
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    Article
  7. 1947
  8. 1948

    DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model by Md. Ashikur Rahman, Md. Mamun Ali, Kawsar Ahmed, Imran Mahmud, Francis M. Bui, Li Chen, Santosh Kumar, Mohammad Ali Moni

    Published 2024-12-01
    “…This study introduces DeepQSP, a novel technique for QSP identification, which combines Latent Semantic Analysis (LSA), a word embedding feature extraction method, with classical amino acid-based extraction Pseudo Amino Acid Composition (PAAC), and a convolutional neural network (CNN) classifier. …”
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    Article
  9. 1949
  10. 1950

    Influence of microstructure on the wettability of tobacco leaves: a theoretical model and quantitative analysis by Jinxin Tie, Binfeng Shen, Binfeng Shen, Yuehui Qiao, Wei Zhao, Ronghua Xu, Miao Wang, Kecheng Li, Kecheng Li, Jie Qian

    Published 2024-12-01
    “…Based on the Cassie–Baxter model, we develop theoretical models of venation and foliage for predicting contact angles. …”
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    Article
  11. 1951

    Modeling the postprandial CETP-mediated lipid redistribution between chylomicrons, LDL and HDL by Martin Jansen, Christine Contini, Michael M. Hoffmann, Gerhard Puetz

    Published 2025-07-01
    “…CETP-mediated TG redistribution was modeled based on the surface and composition data of respective lipoprotein fractions and validated by corresponding measured values. …”
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    Article
  12. 1952

    Europium-labelled nanopolystyrene as model nanoplastics for environmental fate investigations: Synthesis and optimisation by Rega Permana, Swati Sharma, Christopher Stark, David Price, Christian Pfrang, Eugenia Valsami-Jones

    Published 2025-09-01
    “…Their biomolecule-like composition, primarily composed of carbon and hydrogen, complicates detection using conventional analytical methods. …”
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    Article
  13. 1953

    A spike is a spike: On the universality of spike features in four epilepsy models by Armen Sargsyan, Pablo M. Casillas‐Espinosa, Dmitri Melkonian, Terence J. O'Brien, Gilles vanLuijtelaar

    Published 2024-12-01
    “…Here, we compared the frequency properties of SWCs in different epilepsy models. Methods A software package was designed and used for the extraction and frequency analysis of SWCs from long‐term EEG of four spontaneously seizing, chronic epilepsy models: a post‐status epilepticus model of temporal lobe epilepsy, a lateral fluid percussion injury model of post‐traumatic epilepsy, and two genetic models of absence epilepsy—GAERS and rats of the WAG/Rij strain. …”
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    Article
  14. 1954

    CytoLNCpred-a computational method for predicting cytoplasm associated long non-coding RNAs in 15 cell-lines by Shubham Choudhury, Naman Kumar Mehta, Gajendra P. S. Raghava

    Published 2025-05-01
    “…Initially, we developed machine and deep learning based models using traditional features like composition and correlation. …”
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    Article
  15. 1955

    Knowledge Discovery in Databases of Proteomics by Systems Modeling in Translational Research on Pancreatic Cancer by Mathilde Resell, Elisabeth Pimpisa Graarud, Hanne-Line Rabben, Animesh Sharma, Lars Hagen, Linh Hoang, Nan T. Skogaker, Anne Aarvik, Magnus K. Svensson, Manoj Amrutkar, Caroline S. Verbeke, Surinder K. Batra, Gunnar Qvigstad, Timothy C. Wang, Anil Rustgi, Duan Chen, Chun-Mei Zhao

    Published 2025-05-01
    “…Here, we propose a ‘systems modeling’ workflow for KDD. Methods: This framework includes the data collection of a composition model (various research models), processing model (proteomics) and analytical model (bioinformatics, artificial intelligence/machine leaning and pattern evaluation), knowledge presentation, and feedback loops for hypothesis generation and validation. …”
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    Article
  16. 1956

    Advanced Analysis of Clay Microporosity Using High-Resolution N<sub>2</sub>-Ar Adsorption Isotherms Coupled with the Derivative Isotherm Summation Method by Anwar El Azrak, Denys I. Grekov, Laurent Truche, Pascaline Pré

    Published 2024-12-01
    “…Specific surface areas and micro/mesoporous volumes were determined using the BET and the <i>t-plot</i> models. The <i>t-plot</i> analysis requires the use of reference isotherms measured at the same temperature on the surface of non-porous materials with an identical chemical composition. …”
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    Article
  17. 1957

    Differential Evolution for Optimizing Model Parameters in Simulation of Direct Dimethyl Carbonate Synthesis by Outi Ruusunen, Riitta Keiski, Mika Ruusunen

    Published 2025-07-01
    “…The Differential Evolution (DE) algorithm was applied to optimize parameters of the model. When validated with data of a real-world batch process, the model accurately predicted evolution of reaction composition ratios in time, offering a tool for predictive optimization. …”
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    Article
  18. 1958

    Analytical models of movement of wires of air high-voltage power transmission lines by D. A. Yaroslavsky

    Published 2022-08-01
    “…The article PURPOSE with the problem of monitoring the state of high-voltage overhead power lines in order to ensure uninterrupted and reliable supply of consumers with electricity. METHODS. As parameters of the state, the sag, the tensile force and the mass per unit length of the wire hanging in the span are defined. …”
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    Article
  19. 1959

    Gender Factor in Associative Links of Words: Dictionary and Distributive-Semantic Model Data by T. A. Litvinova, E. S. Kotlyarova, V. A. Zavarzina

    Published 2022-06-01
    “…The novelty of the study lies in the fact that such an analysis is carried out taking into account the gender factor of the respondent / author of the text. The use of a set of methods for data mining (clustering, classification) and visualization of its results made it possible to establish the influence of gender on the composition of the semantic associates of the analyzed words (that is, words with close vectors in the distributive-semantic model) and the absence of such an effect in their associates recorded in the associative dictionary. …”
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    Article
  20. 1960

    Using In Vitro Models to Study the Interactions Between Environmental Exposures and Human Microbiota by Qiwen Cheng, Shengxi Chen

    Published 2025-01-01
    “…Environmental exposures demonstrate significant diversity and dynamism; however, conventional methods for exposure–microbiota research, such as animal and epidemiological studies, are often both time-consuming and costly. …”
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    Article