Showing 2,101 - 2,120 results of 2,280 for search '(( variable function coefficiency. ) OR ( variables function efficiency. ))', query time: 0.17s Refine Results
  1. 2101

    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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  2. 2102

    Non-Destructive Detection of Fillet Fish Quality Using MQ135 Gas Sensor and Neutrosophic Logic-Enhanced System by M. Y. Shams, M. R. Darwesh, Roheet Bhatnagar, N. S. A. Al-Sattary, A. A. Salama, M. S. Ghoname

    Published 2025-04-01
    “…Artificial intelligence algorithms were employed to predict quality and calculate regression coefficients. Using the reference neural network algorithm based on chemical and physical compounds, regression coefficients (R values) achieved were 0.99, 0.98, and 0.97, respectively. …”
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  3. 2103

    How Life Experience Shapes Cognitive Control Strategies: The Case of Air Traffic Control Training. by Sandra Arbula, Mariagrazia Capizzi, Nicoletta Lombardo, Antonino Vallesi

    Published 2016-01-01
    “…This experience-based enhancement of reactive control strategy denotes how cognitive control and executive functions in general can be shaped by real-life training and underlines the importance of experience in explaining inter-individual variability in cognitive functioning.…”
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  4. 2104

    Monte Carlo-Based Strategy for Assessing the Impact of EEG Data Uncertainty on Confidence in Convolutional Neural Network Classification by Pierre Sedi Nzakuna, Vincenzo Gallo, Vincenzo Paciello, Aime Lay-Ekuakille, Angelo Kuti Lusala

    Published 2025-01-01
    “…We introduce robust evaluation metrics, including the proportion of area under the curve (AUC) of probability density functions (PDFs) <inline-formula> <tex-math notation="LaTeX">$\geq 70$ </tex-math></inline-formula>% accuracy, overlap coefficients, and percentile-based thresholding, which provide a more comprehensive assessment of model performance, capturing not only accuracy but also confidence and ambiguity in predictions. …”
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  5. 2105

    Temporal disorientation during war: associations with work-family conflict, emotional distress, and burnout by Irene Diamant, Maor Kalfon Hakhmigari

    Published 2025-05-01
    “…Principal Component Analysis (PCA) was used to validate the factor structure of the Hebrew version of Temporal Disorientation questionnaire, Pearson correlation coefficient was used to evaluated correlations among the study variables; Hierarchical linear regression was used to model the outcome variables, emotional distress and burnout.ResultsTemporal confusion and difficulties in future orientation during wartime were significantly associated with emotional distress. …”
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  6. 2106

    Reliability and validity of a Japanese version of life-space assessment in institutionalized settings by Tomoyuki Shinohara, PhD, Shota Saito, MS, Ayumi Maruyama, Yuta Yabana, Yosuke Tomita, PhD, Klaus Hauer, PhD

    Published 2024-12-01
    “…Purpose: A reduction in life space (LS) is associated with a negative impact on medical and functional status during hospitalization, with potential consequences after discharge. …”
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  7. 2107

    An Analytical Solution for Natural Frequencies of Elastically Supported Stepped Beams with Rigid Segments by Ferid Kostekci

    Published 2025-02-01
    “…After deriving the transverse displacement functions by means of using the separation-of-variables technique, the frequency equation was found by setting the determinant of the coefficient matrix to zero. …”
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  8. 2108

    Predictor Importance for Hydrological Fluxes of Global Hydrological and Land Surface Models by João Paulo L. F. Brêda, Lieke A. Melsen, Ioannis Athanasiadis, Albert VanDijk, Vinícius A. Siqueira, Anne Verhoef, Yijian Zeng, Martine van derPloeg

    Published 2024-09-01
    “…We analyzed the JULES, ORCHIDEE, HTESSEL, SURFEX, and PCR‐GLOBWB models for the relative importance of precipitation, climate, soil, land cover and topographic slope as predictors of simulated average evaporation, runoff, and surface and subsurface runoff. RF models functioned as a metamodel and could reproduce GHM/LSMs outputs with a coefficient of determination (R2) over 0.85 in all cases and often considerably better. …”
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  9. 2109

    Regional calibration of ecosystem service valuation under climate and tourism influences: a case study in subtropical Longyan, China by Hui Li, Enhao Chen, Shenglong Lin, Liang Cheng, Guofang Zhang

    Published 2025-08-01
    “…Abstract Precise evaluation of ecosystem service value (ESV) under climate variability is essential for supporting regional ecological management. …”
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  10. 2110

    Changes in life satisfaction over six years in the general population: A longitudinal study with the Satisfaction With Life Scale (SWLS). by Andreas Hinz, Anja Mehnert-Theuerkauf, Heide Glaesmer, Matthias L Schroeter, Ana N Tibubos, Katja Petrowski, Michael Friedrich

    Published 2025-01-01
    “…However, the knowledge about long-term changes in life satisfaction and the associations between such changes and changes in other variables of physical and mental health is limited.…”
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  11. 2111

    Beyond the interface: benchmarking pediatric mobile health applications for monitoring child growth using the Mobile App Rating Scale by Anggi Septia Irawan, Arie Dwi Alristina, Arie Dwi Alristina, Rizky Dzariyani Laili, Nuke Amalia, Arief Purnama Muharram, Adriana Viola Miranda, Bence Döbrössy, Edmond Girasek

    Published 2025-06-01
    “…MARS assessed applications from multiple domains, including engagement, functionality, aesthetics, and information quality. Inter-rater reliability was ensured using the Intraclass Correlation Coefficient (ICC). …”
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  12. 2112

    Comparative Pacing Profile and Chronometric Performance in Elite Swimmers with Intellectual Impairments and Able-Bodied Athletes by Luca Puce, Piotr Zmijewsk, Nicola Luigi Bragazzi, Carlo Trompetto

    Published 2024-12-01
    “…Performance metrics were assessed using 50 m split times, and within-group variability was evaluated through coefficients of variation. …”
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  13. 2113

    Active Disturbance Rejection Control for an automotive suspension system based on parameter tuning using a fuzzy technique. by Tuan Anh Nguyen

    Published 2025-01-01
    “…The proposed method is formed based on the combination of an Active Disturbance Rejection Control (ADRC) technique with control coefficients tuned by a dynamic fuzzy technique formed based on special membership functions called Active Disturbance Rejection Control Based on Fuzzy (ADRCBF). …”
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  14. 2114

    Influence of Customer Intimacy Strategy on Organisations’ Competitiveness in Tier III Category of Commercial Banks in Kenya by Alfayo Odongo Wamburi, Lucy Kibe, Henry Yatich

    Published 2024-04-01
    “…Proportionate stratified random sampling ensured representativeness based on management staff functions. Regression analysis revealed a strong positive correlation (R = 0.822) between the Customer Intimacy Strategy and Organisational Competitiveness, explaining 67.5% of the variability. …”
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  15. 2115

    UDDER MEASUREMENTS AT "ALBA DE BANAT" AND "CARPATINA" GOATS BREEDS by Rodica CHETROIU

    Published 2018-01-01
    “…The primary data obtained was statistically processed using statistical functions available in Microsoft Excel and the main statistical parameters were determined: arithmetic mean, standard error of mean and variability coefficient. …”
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  16. 2116

    Learning compositional sequences with multiple time scales through a hierarchical network of spiking neurons. by Amadeus Maes, Mauricio Barahona, Claudia Clopath

    Published 2021-03-01
    “…The hierarchical model redistributes the variability: it achieves high motif fidelity at the cost of higher variability in the between-motif timings.…”
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  17. 2117

    The IoT Technologies Acceptance in Education by the Students From the Economic Studies in Romania by Liliana Ionescu-Feleaga, Bogdan-Ștefan Ionescu, Mariana Bunea

    Published 2021-05-01
    “…The study included 1,179 students from four university centers from Romania and the included factors from the acceptance of IoT technologies model (Internet of Things) were analyzed using the quantitative statistical methods in SPSS, applying a series of tests processed to highlight the research results, respectively the reliability test, the validity test, the chi-square test and the Person's correlation coefficient. The results of the study show the existence of a positive correlation between the research variables and indicate that the students from the economic studies, are ready to accept the new technological advances in IoT and to implement them in their future jobs…”
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  18. 2118

    A Protocol for Advanced Psychometric Assessment of Surveys by Janet E. Squires, Leslie Hayduk, Alison M. Hutchinson, Lisa A. Cranley, Mark Gierl, Greta G. Cummings, Peter G. Norton, Carole A. Estabrooks

    Published 2013-01-01
    “…Reliability is assessed with internal consistency coefficients and information functions. A unitary approach to validity consisting of accumulating evidence based on instrument content, response processes, internal structure, and relations to other variables is taken. …”
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  19. 2119

    A computationally lightweight model for ensemble forecasting of environmental hazards: General TAMSAT-ALERT v1.2.1 by E. Black, E. Black, J. Ellis, R. I. Maidment, R. I. Maidment, R. I. Maidment

    Published 2024-11-01
    “…The model presented here, General TAMSAT-ALERT, represents a significant scientific and functional advance on previous implementations. Notably, General TAMSAT-ALERT is applicable to any variable for which time series data are available. …”
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  20. 2120

    Optimization of the flow guiding fins configuration and tube arrangements in a shell and tube heat exchanger: coupling response surface methodology and CFD by Xiangmin Shao, Ali Marzban, Farzad Pourfattah, Omid Ali Akbari, Gholamreza Ahmadi, Nafiseh Emami, Soheil Salahshour

    Published 2025-08-01
    “…In both laminar and turbulent flow regimes, the objective functions include the maximum heat transfer and the minimum pressure drop. …”
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