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  1. 501
  2. 502

    Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

    Published 2025-01-01
    “…Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. …”
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    Article
  3. 503

    Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study by Shengyu Liu, Anran Wang, Xiaolei Xiu, Ming Zhong, Sizhu Wu

    Published 2024-10-01
    “…Previous studies have often focused on overall performance, neglecting specific challenges in medical contexts and the impact of macrofactors like lexical composition on prediction accuracy. These gaps hinder the development of optimized NER models for medical applications. …”
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    Article
  4. 504

    RETRACTED ARTICLE: Association between the composite dietary antioxidant index and metabolic dysfunction-associated steatotic liver disease in adults: a cross-sectional study from... by Zheng Yang, Shupeng Song, Lufeng Li, Zhe Yuan, Yongguo Li

    Published 2024-06-01
    “…The correlation between CDAI and MASLD status, controlled attenuation parameter (CAP), and liver stiffness measurement (LSM) was evaluated by adjusting for confounding variables using weighted binary logistic regression model, linear regression model, and restricted cubic spline (RCS) regression. …”
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    Article
  5. 505

    Composición corporal y autoestima corporal en usuarios de gimnasios en una población colombiana (Body composition and body self-esteem in gym users in a Colombian city) by Andrés Felipe Arias Giraldo, Enoc Valentín González Palacios, Astrid Viviana Vargas Romero

    Published 2024-11-01
    “…The Body Self-Esteem Scale (BSES), validated in the Colombian population, was used to measure body self-esteem (BS). To measure body composition, the five-component model was used. Results: In men, the variables of the five-component model with statistically significant correlations and associations were: skin mass in kilograms, percentage of: adipose mass, muscle mass, and bone mass in kilograms. …”
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    Article
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    Integrated neural network and AspenPlus model for entrained flow gasification kinetics investigation by Balaban Dario, Lubura Jelena, Kojić Predrag

    Published 2025-01-01
    “…The obtained results were used in ANN development for each output variable (syngas composition, efficiency, heating value, and carbon conversion). …”
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    Article
  8. 508

    Mathematical Modelling and Optimisation of Low-Temperature Drying on Quality Aspects of Rough Rice by Shakeel Ahmed Soomro, Kunjie Chen, Sohail Ahmed Soomro

    Published 2020-01-01
    “…The experimental data were fitted to the quadratic model, studying the relationship between independent and dependent variables. …”
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    Article
  9. 509
  10. 510

    Sukuk and Inflation Dynamics in Indonesia: A Time Series Linear Model Investigation by Laila M. Pimada, Titis Miranti

    Published 2024-07-01
    “…Employing a time series linear model (TSLM) with monthly data from January 2019 to March 2024, we investigate the relationship between sukuk outstanding and inflation (Consumer Price Index), controlling for industrial production, exchange rate, interest rate, and Composite Leading Indicator (CLI). …”
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    Article
  11. 511

    THE UTILIZATION OF STRUCTURAL EQUATION MODELLING TO DETERMINE CASUALITY ON CONSUMER DECISION OF E-WALLET by Hartati Hartati, Imelda Saluza, Iisnawati Iisnawati, Teguh Teguh

    Published 2024-10-01
    “…SEM provides the core capability of validating the validity and reliability of procedures such as Confirmatory Factor Analysis (CFA). by investigating the pattern of linkages between latent variables and showing them with route diagrams. This study employed 200 E-Wallet users in Palembang for modeling. with the criterion of having one of the E-Wallet programs on a smartphone and having used the application at least once. …”
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    Article
  12. 512

    Analysing and modelling the impact of habitat fragmentation on species diversity: a macroecological perspective by Thomas Matthews

    Published 2015-07-01
    “…For example, the power model was by the far the best general SAR model for habitat islands. …”
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    Article
  13. 513

    Clinical characteristics, prognosis, and predictive modeling in class IV ± V lupus nephritis by Anjing Wang, Anjing Wang, Yunlong Qin, Yunlong Qin, Yan Xing, Zixian Yu, Liuyifei Huang, Jinguo Yuan, Yueqing Hui, Mei Han, Guoshuang Xu, Jin Zhao, Shiren Sun

    Published 2025-05-01
    “…Class IV and class IV+V patients have similar clinical manifestations, treatment strategies, and long-term prognosis, despite class IV having a higher chronic index (CI) score (P < 0.001). Seven eligible variables (eGFR, CI, age, basophil percentage, red blood cell count, mean arterial blood pressure, and uric acid) were selected to develop the random survival forest (RSF) model. …”
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    Article
  14. 514

    Designing an entrepreneurial ecosystem model in a university with a knowledge-based approach by Nahid Mir, Amin Rahimi Kia, Mehry Daraei

    Published 2024-08-01
    “…The results in the qualitative part showed that 67 primary codes, 11 basic themes, and 5 constructive themes are identified in most infrastructure and support clusters (2 themes), integration of technology and knowledge (2 themes), education and culture (3 themes), policy and planning. (2 themes), and integrated management (2 themes); and relationships between them were drawn and presented in the form of a paradigmatic model. The results of the quantitative part showed that 5 indicators and 11 components with factor load, average extracted variance, and convergent validity are higher than (0.4), Cronbach's alpha coefficient and composite reliability are higher than (0.7), significant t coefficients is higher than (1.96); all were confirmed, and the model has a strong fit.ConclusionThe purpose of this research was to design an entrepreneurship ecosystem model in a university. …”
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    Article
  15. 515

    Random forest algorithms: a tool to identify the impact of arbuscular mycorrhizal fungi inoculation, seed maturation stage and geographic diversity of Pimpinella anisum L. accessio... by Bruno Rodrigues de Oliveira, Alan Mario Zuffo, Francisco Charles dos Santos Silva, Fábio Steiner, Amal Mohamed AlGarawi, Mohammad K. Okla, Mousa Nhs, Yousef Alhaj Hamoud, Izabela Josko, Mohamed S. Sheteiwy, Mohamed Salem Alyafei, Saad Sulieman

    Published 2025-05-01
    “…Conclusions The performance of classification models using RF is driven primarily by independent variables related to the chemical composition of anise seeds, overshadowing the effects of geographic diversity and the seed maturation stage. …”
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    Complex system modeling reveals oxalate homeostasis is driven by diverse oxalate-degrading bacteria by Sromona D Mukherjee, Carlos Batagello, Ava Adler, Jose Agudelo, Anna Zampini, Mangesh Suryavanshi, Andrew Nguyen, Terry Orr, Denise Dearing, Manoj Monga, Aaron W Miller

    Published 2025-05-01
    “…Using multiple, independent molecular, rodent, and in vitro experimental models, we found that microbiome composition influenced multiple oxalate-microbe-host interfaces. …”
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    Article
  18. 518

    Study on the coupled coordination of water resources consumption and economic development in Heilongjiang province under different scenarios based on SD model by Meiyun Tao, Youzhu Zhao, Qiuxiang Jiang, Zilong Wang, Baohan Li

    Published 2025-06-01
    “…First employed a system dynamics (SD) model to construct a coupled water resources-economy composite system for Heilongjiang Province. …”
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    Article
  19. 519

    Role of Age Hardening Heat Treatment on the Hardness Values of 93.95 Al-5 Zn-1.05 Sn/5 Al2o3- Sio2 Particulate Composite by Aondona P. Ihom

    Published 2014-05-01
    “…A model was developed for the relationship between age hardening time and hardness of the composite. …”
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    Article
  20. 520

    Growing Land‐Sea Temperature Contrast and the Intensification of Arctic Cyclones by Jonathan J. Day, Kevin I. Hodges

    Published 2018-04-01
    “…In this study we perform composite analysis of Arctic cyclone statistics using AFZ variability as an analog for climate change. …”
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    Article