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  1. 1921

    Reliability optimization methods: A systematic literature review by Singla Shakuntla, Mangla Diksha, Kumar Malik Ajender, Muhammad Modibbo Umar

    Published 2025-01-01
    “…Additionally, which variables influence the primary reliability metrics in their work and how? …”
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    Article
  2. 1922

    Deletion of genes linked to the C1-fixing gene cluster affects growth, by-products, and proteome of Clostridium autoethanogenum by Ugochi Jennifer Nwaokorie, Kristina Reinmets, Lorena Azevedo de Lima, Pratik Rajendra Pawar, Kurshedaktar Majibullah Shaikh, Audrey Harris, Michael Köpke, Kaspar Valgepea

    Published 2023-05-01
    “…However, our understanding of the functionalities of the genes involved in the C1-fixing gene cluster and its closely-linked genes is incomplete. …”
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    Article
  3. 1923
  4. 1924
  5. 1925

    Land-Cover Semantic Segmentation for Very-High-Resolution Remote Sensing Imagery Using Deep Transfer Learning and Active Contour Loss by Miguel Chicchon, Francisco James Leon Trujillo, Ivan Sipiran, Ricardo Madrid

    Published 2025-01-01
    “…However, the automation of this process remains a challenge owing to the complexity of images, variability in land surface features, and noise. In this study, a method for training convolutional neural networks and transformers to perform land-cover segmentation on very-high-resolution aerial images in a regional context was proposed. …”
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  6. 1926

    Importance of ice algae versus phytoplankton in the diet of megabenthic organisms under contrasting sea ice conditions (Canadian Arctic): a dual biochemical approach (SIA and HBIs) by Thibaud Combaz, Thibaud Combaz, Ursula Witte, Thomas A. Brown, Philippe Archambault

    Published 2025-06-01
    “…Finally, the spatial variability in resource utilisation by ophiuroids is likely related to area’s specificities (e.g., primary production, ice break-up timing, grazer abundance) and highlighted their ability to adapt to available food by switching their feeding types. …”
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  7. 1927

    Simulation of wheat yield by nitrogen and nonlinearity of environmental conditions by Ana P. B. Trautmann, José A. G. da Silva, Manuel O. Binelo, Antonio C. Valdiero, Luana Henrichsen, Natiane C. F. Basso

    Published 2019-12-01
    “…The experimental design was a randomized block design with four repetitions in a 4 x 3 factorial scheme for N-fertilizer doses (0, 30, 60, 120 kg ha-1) and nutrient supply forms [100% in phenological stage V3 (third expanded leaf); (70%/30%) in the phenological stage V3/V6 (third and sixth expanded leaf) and; fractionated (70%/30%) at the phenological stage V3/E (third expanded leaf and beginning of grain filling)], respectively, in the soybean/wheat and corn/wheat systems. The pertinence functions and the linguistic values established for the input and output variables are adequate for the use of fuzzy logic. …”
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    Article
  8. 1928

    Determinants of oral health-related quality of life in orthodontic aligner wearers: A cross-sectional analysis. by Gabriela Luiza Nunes Souza, José Alcides Almeida de Arruda, Pâmella de Moura Dario, Esdras de Campos França, Marcelo de Araújo Lombardi, Giselle Cabral da Costa, Najara Barbosa Rocha, Lucas Guimarães Abreu

    Published 2025-01-01
    “…Bivariate analyses were conducted to examine associations between independent variables and OHRQoL. Effect sizes (ES) were calculated to indicate the magnitude of associations, categorized as small, moderate, or large. …”
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    Article
  9. 1929

    Evaluation of oral health-related quality of life in burn survivors: A cross-sectional study by Hetal Amipara, Rakesh Kain, Shalabh Kumar

    Published 2024-01-01
    “…Purpose: The face, crucial to identity, is susceptible to the functional and psychological impact of burn injuries. …”
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    Article
  10. 1930

    Effect of Gratitude on Mental Health with Mediating Role of Positive and Negative Affect by Malihe Shakerifard, Ali Mohamadzadeh Ebrahimi, Tayebe Rahimi Pordanjani

    Published 2019-06-01
    “…Findings: There was a significant correlation between all variables of the research (p<0.01). The model had a good fit with some modification. …”
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    Article
  11. 1931

    Predicting Kinematic Viscosity and Cetane Number of Diesel- Biodiesel Blend Using Neural Network and Empirical Models by M. yari, Gh. Moradi, M. Abdolmaleki, Sh. Bashiri

    Published 2022-09-01
    “…This study tries to estimate two substantial properties of blend, i.e. kinemattic viscosity (KV) and cetane number (CN), through neural network (NN) and empirical models which use pure properties of biodiesel (kinematic viscosity, boiling point, evaporation point, flash point, pour point, heat of combustion, cloud point, and specific gravity) as independent variables. In this regard, a three-layer feed-forward network with varying input parameters, training algorithms, transfer functions, and hidden neurons has been examined to predict the KV and CN of the diesel-biodiesel blend. …”
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    Article
  12. 1932

    On Simplifying Expressions with Mixed Boolean-Arithmetic by Yury V. Kosolapov

    Published 2023-06-01
    “…We experimentally estimate the dependence of the average number of terms in a linear MBA-expression returned by simplification algorithms on $n$, the number of decoding iterations, and the power of the set of Boolean functions, by which a linear combination with a minimum number of nonzero coefficients is sought. …”
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  13. 1933

    Assessing the validity and reliability of the persian version of Self-concept and Identity Measure in an Iranian population by Saba Tutunchian, Ali Reza Shafiee-Kandjani, Ayyoub Malek, Behzad Shalchi

    Published 2025-02-01
    “…Furthermore, the confirmatory factor analysis results substantiated a significant association between observed variables and latent constructs, indicating that the three-factor structure of the scale exhibits a satisfactory fit within the research samples. …”
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    Article
  14. 1934

    Exercise, Training &amp; Health by Mentz L, Winkert K, Schlegel S, Rohlmann F, Steinacker JM, Treff G

    Published 2022-03-01
    “…The highest differences between individual CVs were found in step 1, ranging from 2.9% to 11.8%.Conclusion: Stroke-to-stroke variability during rowing ergometer testing amounts to 4.7%, which is probably higher than during testing on externally controllable bicycle ergometers, where resistance is controlled as a function of cadence. …”
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  15. 1935

    Developing a novel hybrid model based on GRU deep neural network and Whale optimization algorithm for precise forecasting of river’s streamflow by Amin Gharehbaghi, Redvan Ghasemlounia, Farshad Ahmadi, Rasoul Mirabbasi, Ali Torabi Haghighi

    Published 2025-06-01
    “…The Pearson’s correlation coefficient (PCC) and Cosine Amplitude Sensitivity (CAS) as feature (input) selection process determine the only precipitation (P m ) as the most effective input variable among a list of on-site potential climate time series parameters recorded in the study area. …”
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  16. 1936
  17. 1937

    Investigating the Relationship Between FMS Test Scores and the Occurrence of Injury in Elite Female Shooter by Abdolrasoul Daneshjoo, Baran Hoseini, Fatemeh Ghasemi

    Published 2022-05-01
    “…After obtaining the consent form and measuring the demographic characteristics of the subjects, a checkerboard method and a New York test questionnaire were used to measure the variables of the study. All subjects performed the seven Functional Movement Screen (FMS) after evaluating the degree of stature abnormalities. …”
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    Article
  18. 1938

    The influence of fitness mobile apps on workout behavior intention among Chinese young adults. by Mengyu Li, Shujie Wang, Abdul Rahim Ahmed Soliman Darweesh

    Published 2025-01-01
    “…The three main independent variables assessed were (1) attitude, (2) subjective norms, and (3) perceived behavioral control. …”
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  19. 1939

    A Multi-objective Transmission Expansion Planning Strategy: A Bilevel Programming Method by S. Zolfaghari-Moghaddam, T. Akbari

    Published 2018-12-01
    “…The LMP of buses are dual variables of the corresponding active power balance equation. …”
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  20. 1940

    SCIENTIFIC APPROACH TO A COMPLEX ASSESSMENT OF DETERMINANTS OF THE INSURANCE MARKET DEVELOPMENT OF UKRAINE by L. V. Popova, N. O. Kovalchuk, D. D. Polagnyn

    Published 2019-03-01
    “…The developed model contains a clear list and sequence of stages of the insurance market analysis and a specific methodology for assessing the impact of key factors, characteristic for changing conditions of management, on the efficiency of its functioning. Practical application allows to take into consideration the influence of individual determinants of the insurance market development on its condition, to increase the efficiency of managerial decisions in this area. …”
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