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  1. 29941

    Two-year follow-up of gut microbiota alterations in patients after COVID-19: from the perspective of gut enterotype by Qianhan Xie, Jiali Ni, Wanru Guo, Cheng Ding, Fengjiao Wang, Yechen Wu, Yuxi Zhao, Lingxiao Zhu, Kaijin Xu, Yanfei Chen

    Published 2025-05-01
    “…Furthermore, at 6 months post-discharge, residual pulmonary Computed Tomography (CT) abnormalities were more common in patients with Enterotype-S (55%) than in those with Enterotype-B (20%, P = 0.046). …”
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  2. 29942
  3. 29943

    Bacterial indicators during storage of slaughter products of turkeys of the meat sector of productivity with the use of the prebiotic drug Aktigen by A. V. Konopelko, V. P. Lyasota

    Published 2023-12-01
    “…Variational and statistical processing of experimental data was carried out using computer software packages “Microsoft Exel”, “Maple-12” (Company Maplesoft, 2008) for variational and statistical processing of digital data. …”
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  4. 29944

    CLINICAL AND IMMUNOLOGICAL STATUS OF PATIENTS WITH GENERALIZED PARODONDITIS ASSOCIATIED WITH CHRONIC HEPATITIS B VIRUS (HBV) INFECTION by V.I. Fesenko, S.V. Shvets

    Published 2018-03-01
    “…The level of immunoglobulins classes (A, M, G) – was made by radial immunodiffusion in gel by Mancini. Statistical processing of materials made computer program «Excel». …”
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  5. 29945

    Analysis of Atomization Cooling Characteristics of External Mixing Nozzles by ZHANG Qian, LIU Ziyang, XU Yuhan, HUANG Lei, WANG Dagui, CHEN Liai, CHEN Song

    Published 2025-01-01
    “…ObjectiveThe atomization dispersion characteristics and concentration distribution mechanism during the spraying process are the key factors affecting the cooling of the mold. …”
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  6. 29946
  7. 29947

    Daily Runoff Prediction Model Based on Multivariate Variational Mode Decomposition and Correlation Reconstruction by DING Jie, TU Peng-fei, FENG Yu, ZENG Huai-en

    Published 2025-05-01
    “…[Conclusions](1) The MVMD decomposition method can control the number of decomposition layers, ensuring complete signal feature extraction without overfitting while improving processing speed.(2) Pearson correlation coefficient method enhances prediction accuracy through decomposed data classification.(3) The MEA-BP can improve signal-to-noise ratio, adapt to complex environments, enhance learning efficiency and generalization ability, and reduce computational complexity.(4) The GWO-ELM algorithm integrates grey wolf optimizer with extreme learning machine, providing a fast and adaptive solution for time-series prediction with reduced overfitting and improved efficiency.(5) The overall combined model can efficiently and stably process large amount of data while ensuring high accuracy.…”
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  8. 29948

    Lifetime prevalence of psychotic experience, and its associated factors among Senegalese women: a cross-sectional study by Joshua Okyere, Samuel Salu, Castro Ayebeng, Qorinah Estiningtyas Sakilah Adnani, Kwamena Sekyi Dickson

    Published 2025-04-01
    “…Descriptive analysis, cross-tabulations, chi-square test, and binary logistic regression models were computed in STATA 18. The multivariable logistic regression analysis followed a backward stepwise approach. …”
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  9. 29949

    Solitons unveilings and modulation instability analysis for sixth-order coupled nonlinear Schrödinger equations in fiber bragg gratings by Noha M. Kamel, Hamdy M. Ahmed, Wafaa B. Rabie

    Published 2025-03-01
    “…This method was chosen for its advantages, including low computational cost, high consistency, and simplicity in calculations. …”
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    Article
  10. 29950

    School-Based Homework Interventions for Improving 24-hour Movement Behaviours in Primary School Children: A Systematic Review and Meta-Analysis by April Forrest, Duncan Buchan, Nicholas Sculthorpe, Lawrence Hayes, Samantha Robinson

    Published 2025-08-01
    “…Random-effects meta-analyses were processed to compute standardised mean difference (Hedges’ g), with subgroup analyses, and meta-regressions also conducted. …”
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  11. 29951

    Software Implementation of the Epps-Pulley Criterion in Matlab Modeling Environment by A. A. Tipikin, A. A. Prusakov, N. A. Timoshenko

    Published 2024-05-01
    “…An assessment of the computational efficiency of the methods showed that the cyclic approach is about three times higher than the matrix-vector approach in terms of consumed time, which is presumably due to the processing of insignificant elements in triangular matrices when performing component-by-component operations. …”
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  12. 29952

    Effect of two different digital construction techniques of mandibular implant-assisted overdentures on peri-implant bone loss and posterior ridge resorption: a 3-year prospective r... by Nermeen El Sayed El Khamisy, Radwa M.K. Emera, Thuraya Maher Elmanci, Marwa Ahmed Aboelez

    Published 2025-07-01
    “…To improve the qualities of denture base material and get rid of all the problems that come with the conventional fabrication process, novel production methods were approved. In the field of denture manufacture, new materials and computer-aided technology have been explored as potential solutions. …”
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  13. 29953

    Annotation-free prediction of microbial dioxygen utilization by Avi I. Flamholz, Joshua E. Goldford, Philippa A. Richter, Elin M. Larsson, Adrian Jinich, Woodward W. Fischer, Dianne K. Newman

    Published 2024-10-01
    “…Since genome annotation is compute-intensive and relies on many assumptions, we asked if annotation-free methods also perform well. …”
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  14. 29954

    FACCE: Framework para Avaliação da Carga Cognitiva na Educação Online / FACCE: Framework for assessing cognitive load in online education by Andressa Falcade, Laís Falcade, Ilse Abegg, Uianes Luiz Rockenbach Biondo

    Published 2022-07-01
    “…. /// Analyzing the cognitive load involved in the online teaching and learning process is an important factor in ensuring more concrete educational results, mainly because it observes the interference that different formats of content presentation can cause in the acquisition of information by human memory. …”
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  15. 29955

    Long short-term memory (LSTM) networks for precision prediction of Schottky barrier photodiode behavior at different illumination levels by Gökalp Tulum, Sajjad Nematzadeh, İlke Taşçıoğlu, Şemsettin Altındal, Fahrettin Yakuphanoğlu

    Published 2025-07-01
    “…Using the temporal gating and memory capabilities of the LSTM architecture, we proposed a time- and cost-efficient alternative deep-learning model to extensive experimental procedures, ensuring that the diode characterization process could be accelerated without compromising accuracy. …”
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  16. 29956

    Optimization and Verification of One-dimensional Three-field Model for Transient Analysis of Pressurized Water Reactor by YUAN Leqi1, LI Zanwang1, 2, FAN Jie1, 3, GOU Junli1, SHAN Jianqiang1

    Published 2025-05-01
    “…Further optimization addressed the computational errors observed under low reflooding rate conditions, where existing three-field implementations showed particular deviations. …”
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  17. 29957

    Lessons Learned from the LBS2ITS Project—An Interdisciplinary Approach for Curricula Development in Geomatics Education by Günther Retscher, Jelena Gabela, Vassilis Gikas

    Published 2024-12-01
    “…In this paper, the curriculum development and modernization process is detailed, with a particular focus on the two key phases: teacher training and curriculum development. …”
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  18. 29958

    EVALUATING CAUSES OF ROAD FAILURE ALONG KM 5, ADO-IKERE-EKITI ROAD, SOUTHWESTERN NIGERIA by Ajayi, C. A., Abdu-Raheem, Y. A., Talabi, A. O., Ilugbo S.O.

    Published 2024-04-01
    “…VES data were interpreted quantitatively by partial curve matching and computer-assisted forward modeling using the IPI2Win(R) software. …”
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  19. 29959
  20. 29960