Showing 621 - 640 results of 2,280 for search '(( variable function coefficiency. ) OR ( variables function (efficient. OR efficiency.) ))', query time: 0.34s Refine Results
  1. 621

    Evaluation of a seed drill for barley and vetch sowing as a function of varying seeding ratios by Arzu Yazgi, Tuncay Gunhan, Behcet Kir, Gulcan Demiroglu Topcu, Erdem Aykas

    Published 2025-02-01
    “…The seed flow and distribution uniformity across the rows were determined within laboratory conditions, while other response variables were assessed in the field conditions. Results The coefficient of variation values of flow evenness for barley and vetch were found to be 1.0–5.5% and 0.3–2.1%, respectively. …”
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  2. 622

    Effective factors on variations of wheat production in climatic regions of Fars province by leyla sharifi, saeed bazgeer, hosain mohmmadi, alireza darbaneh astaneh, mostafa karimi ahmadabad

    Published 2020-06-01
    “…Independent variables in the translog function explain 92% of the changes in wheat production in Fars province.…”
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  3. 623

    Effect of interaction between resistance training and fasting on removal of creatinine and glomerular filtration in sedentary women with abdominal obesity by Ameneh Mohammadi, mahmoud Nikseresht, Mahnaz Omidi

    Published 2018-12-01
    “…Pearson correlation coefficient showed that creatinine clearance and glomerular filtration rate had an inverse and significant relation with age, while these variables were directly correlated with body mass index. …”
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  4. 624

    Comparative study on bivariate statistical characteristics of drought in Shandong using SPI and SPEI by Jian Liu, Jun Xia, Mingsen Wang

    Published 2025-04-01
    “…The results showed that both SPI and SPEI can efficiently describe drought in the study area and drought events identified by these two indices were quite similar. …”
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    Article
  5. 625

    Enhancing Indian summer monsoon prediction: Deep learning approach for skillful long-lead forecasts of rainfall by Kalpesh R. Patil, Takeshi Doi, J.V. Ratnam, Swadhin K. Behera

    Published 2025-06-01
    “…An ensemble of JJAS rainfall predictions using the CNN model with a unique custom function showed high skills in predicting ISMR at a long-lead time of 12 months. …”
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  6. 626
  7. 627

    DIGITAL EXAMINATION METHODS OF ANATOMICAL ELEMENTS OF MASTICATORY SYSTEM AND BASIC OCCLUSION RELATIONSHIPS by R.M. Stupnytskyi, V.R. Yarychkivskyi

    Published 2018-12-01
    “… In the modern world, dentistry has achieved a significant possibilities in aesthetic and functional restoration of teeth and dental arches thanks to modern computer technologies. …”
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  8. 628
  9. 629

    Finite Element Modeling for Buckling Analysis of Tapered Axially Functionally Graded Timoshenko Beam on Elastic Foundation by Masoumeh Soltani

    Published 2020-11-01
    “…In this study, an efficient finite element model with two degrees of freedom per node is developed for buckling analysis of axially functionally graded (AFG) tapered Timoshenko beams resting on Winkler elastic foundation. …”
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  10. 630

    Evaluation the correlation between Inulin and Cystatin C with kidney function tests and GFR in patients with renal disorders by Nawar Mohsin Abd-alaziz, Wasan Nazhan Hussein

    Published 2020-03-01
    “… Background: Kidneys are important organs in the human body because of their great importance in assisting the body to remove waste products that resulting from food metabolism through renal filtration of blood plasma from unwanted substances and excreted through diuresis and recover substances that body needs to the blood, relative effectiveness of the kidney can be estimated by measuring the efficiency of glomerular filteration rate (GRF), represented by amount of inulin filtrate into renal tubules for a specified period of time, any difference in normal value indicates the presence of a disorder in the kidney, which affects on performance of its functions and occurrence of imbalance in internal environment of the body, and leads to disrupting functions of other parts of the body, measuring rate of renal filtration is one of the best ways to know function of the kidneys and diagnose various kidney diseases and prevent their development. …”
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  11. 631
  12. 632

    SOLVING ENGINEERING OPTIMIZATION PROBLEMS WITH THE SWARM INTELLIGENCE METHODS by A. V. Panteleev, M. D. Evdokimova

    Published 2017-05-01
    “…The purpose of each task is to minimize the cost and weight of the construction. The object functions in optimization practical problem are nonlinear functions with a lot of variables and a complex layer surface indentations. …”
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  13. 633

    Detecting changes in retinal function: Analysis with Non-Stationary Weibull Error Regression and Spatial enhancement (ANSWERS). by Haogang Zhu, Richard A Russell, Luke J Saunders, Stefano Ceccon, David F Garway-Heath, David P Crabb

    Published 2014-01-01
    “…Furthermore, the spatial correlation utilised in ANSWERS was shown to improve the ability to detect deterioration, compared to equivalent models without spatial correlation, especially in short follow-up series. ANSWERS is a new efficient method for detecting changes in retinal function. …”
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  14. 634

    Innovative measurement of routine physiological variables (heart rate, respiratory rate and oxygen saturation) using a remote photoplethysmography imaging system: a prospective com... by Eliane Albuisson, Anthony Moussu, Bruno Chenuel, Yohann Bernard, Mathias Poussel, Véronique Saunier

    Published 2021-08-01
    “…Remote photoplethysmography imaging (rPPG) makes it possible to use a camera video to measure some of the most valuable physiological variables: heart rate (HR), respiratory rate (RR) and oxygen saturation (SpO2). …”
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  15. 635

    On Estimation of Distribution Function Using Dual Auxiliary Information under Nonresponse Using Simple Random Sampling by Saddam Hussain, Mi Zichuan, Sardar Hussain, Anum Iftikhar, Muhammad Asif, Sohail Akhtar, Sohaib Ahmad

    Published 2020-01-01
    “…In this paper, we proposed two new families of estimators using the supplementary information on the auxiliary variable and exponential function for the population distribution functions in case of nonresponse under simple random sampling. …”
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  16. 636

    Innovative machine learning-based prediction of early airway hyperresponsiveness using baseline pulmonary function parameters by Hua Yang, Xingru Zhao, Zhuochang Chen, Lihong Yang, Guihua Zhao, Chenxiao Xu, Jinyi Xu

    Published 2025-08-01
    “…This study explores the potential of baseline pulmonary function parameters, particularly small airway indices, in predicting AHR and develops a machine learning-based model to improve screening efficiency and reduce unnecessary BPT referrals.MethodsThis retrospective study analyzed baseline pulmonary function data and BPT results from Henan Provincial People’s Hospital (May to September 2024). …”
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  17. 637

    Cardiorespiratory responses and specificity of effectiveperformance in dance and pairsof dancers by Igor Soronovych, Andrii Diachenko, Georgiy Korobeynikov, Lesia Korobeinikova, Vladimir Raximov

    Published 2025-06-01
    “…The aim of the study: to identify the model characteristics of the functional reserve of elite dancers taking into account cardio-respiratory reactions. …”
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  18. 638
  19. 639

    Relationship between functional movement screening (FMS) scores and balance and strength performance in young male athletes by Şükran İribalcı, Mert Aydoğmuş, Serkan Revan, Harun Genç

    Published 2024-12-01
    “…Shapiro-Wilk test was applied to determine if the data were normally distributed, Pearson’s correlation coefficient analysis was used measure linear correlation, and Spearman’s rank correlation coefficient (ρ) was determined to measure the strength and direction of correlation between variables. …”
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  20. 640

    Gráfico de controle de regressão aplicado na monitoração de processos Regression control chart applied in process monitoring by Luciane Flores Jacobi, Adriano Mendonça Souza, João Eduardo da Silva Pereira

    Published 2002-01-01
    “…This research, therefore, it presents an efficient technique to control simultaneous by correlated variables.…”
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