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Showing 1,681 - 1,700 results of 2,280 for search '(( variable function (coefficiency. OR coefficiency.) ) OR ( variable function efficiency. ))*', query time: 0.23s Refine Results
  1. 1681

    Application of machine learning and neural network models based on experimental evaluation of dissimilar resistance spot-welded joints between grade 2 titanium alloy and AISI 304 s... by Marwan T. Mezher, Alejandro Pereira, Rusul Ahmed Shakir, Tomasz Trzepieciński

    Published 2024-12-01
    “…The best prediction model was found to be the ANN model when training the conjugate gradient with the Polak-Ribiere updates (Traincgp) training function with the hyperbolic tangent sigmoid transfer function (Tansig) with the mean squared error (MSE) and correlation coefficient (R2) values recorded as 0.01886 and 0.94973, respectively. …”
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  2. 1682

    Arterial hypertension and myocardial electric heterogeneity in patients with coronary heart disease by L. A. Leshchinsky, B. L. Multanovsky, A. G. Petrov, S. B. Ponomarev

    Published 2005-06-01
    “…Myocardial electric heterogeneity, especially in PS, correlated with left ventricular (LV) hypertrophy, LV diastolic function, and the overall functional status of cardiovascular system. …”
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    Article
  3. 1683

    Evaluating Machine Learning Models for Predicting Hardness of AlCoCrCuFeNi High-Entropy Alloys by Uma Maheshwera Reddy Paturi, Muhammad Ishtiaq, Pasupuleti Lakshmi Narayana, Anoop Kumar Maurya, Seong-Woo Choi, Nagireddy Gari Subba Reddy

    Published 2025-04-01
    “…This study evaluates the predictive capabilities of various machine learning (ML) algorithms for estimating the hardness of AlCoCrCuFeNi high-entropy alloys (HEAs) based on their compositional variables. Among the ML methods explored, a backpropagation neural network (BPNN) model with a sigmoid activation function exhibited superior predictive accuracy compared to other algorithms. …”
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  4. 1684

    Meristic and morphometric comparison of an undescribed sucker of the Río Culiacán (Catostomus sp.) and Yaqui sucker (Catostomus bernardini) (Catostomidae, Teleostei) from the Sierr... by Gorgonio Ruiz-Campos, Sergio Sánchez-Gonzáles, Richard L. Mayden, Alejandro Varela-Romero

    Published 2016-06-01
    “…Likewise, the discrimination was associated with the lowest values for predorsal distance, soft posterior ocular margin to occiput, and number of anal rays. The standardized coefficients for canonical variables 1 and 2 accounted 82.6% of the total variation. …”
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    Article
  5. 1685

    Treatment of Pediatric Colchicine Poisoning with Single-Pass Albumin Dialysis: A Case Report by Atessa Bahadori, Rishil Patel, Cal Robinson, Steve Balgobin, Michael Zappitelli, Nithiakishna Selvathesan

    Published 2024-12-01
    “…The rationale for CVVHDF with SPAD was based on the high protein binding, variably high volume of distribution, previous reports showing a sieving coefficient of 0.2 with CVVH, and the high mortality risk. …”
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  6. 1686

    A Data-Driven Approach Based on Deep Neural Network Regression for Predicting the Compressive Strength of Steel Fiber Reinforced Concrete by Nhat-Duc Hoang, Van-Duc Tran

    Published 2025-04-01
    “…Experimental results show that the L1 regularization helps achieve the most desired performance, with a coefficient of determination (R2) of roughly 0.96. Notably, an asymmetric loss function is used along with Nadam to decrease the percentage of overestimated cases from 50.83% to 27.08%. …”
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    Article
  7. 1687

    Estimativa das temperaturas máximas e mínimas do ar para a região do Circuito das Frutas, SP Estimation of maximum and minimum air temperatures for the "Circuito das Frutas" region... by Ludmila Bardin, Mário J. Pedro Júnior, Jener F. L. de Moraes

    Published 2010-01-01
    “…Also, maps with the spacial variability of the maximum and minimum mean monthly and annual temperatures are presented for the region.…”
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  8. 1688

    The Effect of Vocal Rehabilitation on Patients with Vocal Cord Paralysis by Mila Bunijevac, Andrijana Mikić, Maša Đurišić

    Published 2022-12-01
    “…Measures of central tendency, measures of variability, one-factor analysis of variance, t-test for independent samples, chi-square test and interclass correlation coefficient were applied in statistical data processing. …”
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    Article
  9. 1689

    Leveraging Cognitive and Speech Ecological Momentary Assessment in Individuals With Phenylketonuria: Development and Usability Study of Cognitive Fluctuations in a Rare Disease Pop... by Shifali Singh, Lisa Kluen, Katelin Curtis, Raquel Norel, Carla Agurto, Elizabeth Grinspoon, Zoe Hawks, Shawn Christ, Susan Waisbren, Guillermo Cecchi, Laura Germine

    Published 2025-06-01
    “…Similarly, to assess variability in task performance over the course of all EMAs, the coefficient of variability was computed; 28% for the task measuring sustained attention, 37% for semantic fluency, 15.8% for the task measuring executive functioning, and 17.6% for processing speed. …”
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  10. 1690

    Complete sequencing of the mitochondrial genome of tea plant Camellia sinensis cv. ‘Baihaozao’: multichromosomal structure, phylogenetic relationships, and adaptive evolutionary an... by Zhiyin Chen, Zhiyin Chen, Zhiyin Chen, Zhiyin Chen, Zixu Wang, Zixu Wang, Zixu Wang, Zixu Wang, Wei Zhou, Wei Zhou, Wei Zhou, Wei Zhou, Sijie Liu, Sijie Liu, Sijie Liu, Sijie Liu, Yuxin Xiao, Yuxin Xiao, Yuxin Xiao, Yuxin Xiao, Yihui Gong, Yihui Gong, Yihui Gong, Yihui Gong

    Published 2025-06-01
    “…Adaptive evolutionary analysis, based on Ka/Ks ratios, was performed to investigate gene selection pressures.ResultsThe mitochondrial genome consists of 11 linear chromosomes, with a total length of 909,843 bp and a GC content of 45.62%. A total of 73 functional genes were annotated, among which 14 variable genes (e.g., ribosomal protein coding genes) retain intact functions without pseudogenization, which is rare among Theaceae plants. …”
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  11. 1691

    Exploring restoration efforts from a social lens: statistical models reveal relationships between salmon habitat restoration efforts and ecological and social characteristics of th... by Brittany D King, Robert Fonner

    Published 2024-12-01
    “…We specified statistical models to explain the variation in the number of restoration worksites undertaken in subwatersheds as a function of environmental and social variables. Using a common set of explanatory variables, we fit four models to examine the distribution of worksites associated with particular types of restoration actions (instream, riparian, land acquisition, and fish passage) and a fifth model to examine the distribution of all aquatic-based restoration worksites across action types. …”
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  12. 1692

    Preoperative Anteroposterior and Lateral Assessment of Sagittal Spinopelvic Parameters Show High Positional Correlation and Measurement Reliability Preceding Both Hip Preservation... by Benjamin D. Kuhns, M.D., M.S., Tyler R. McCarroll, M.D., Roger Quesada-Jimenez, M.D., Ady H. Kahana-Rojkind, M.D., Drashti Sikligar, M.Eng., Meredith F. Cohen, B.A., Benjamin G. Domb, M.D.

    Published 2025-06-01
    “…Purpose: To determine the reliability of sagittal radiographic variables across multiple positions and radiographic views and to correlate measures obtained on anteroposterior (AP) radiographs to lateral pelvis imaging. …”
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  13. 1693

    Optimal power flow using recent red-tailed hawk optimization algorithm by Ahmed M Nassef, Mohammad Ali Abdelkareem, Mohamed Louzazni

    Published 2025-03-01
    “…Optimization can efficiently achieve various objective functions in power systems. …”
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    Article
  14. 1694

    Research on the Stability Prediction and Optimization of CNC Milling Based on Bagging–NSGAⅡ Under the Influence of Multiple Factors by Congying DENG, Qian YOU, Yang ZHAO, Lijun LIN, Guofu YIN

    Published 2024-07-01
    “…Taking these process parameters (<italic>x</italic>, <italic>y</italic>, <italic>z</italic>, <italic>d</italic>, <italic>h</italic>, <italic>n</italic>, <italic>a</italic><sub>p</sub>, <italic>a</italic><sub>e</sub>, <italic>f</italic><sub>z</sub>) as design variables, a multi-objective optimization model is constructed to balance machining efficiency and tool life. …”
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  15. 1695

    Principal networks. by Jonathan D Clayden, Michael Dayan, Chris A Clark

    Published 2013-01-01
    “…This is an important problem because most cognitive functions would be expected to involve some but not all brain regions. …”
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  16. 1696

    Removal of caffeine from aqueous solution by green approach using Ficus Benjamina zero-valent iron/copper nanoparticles by Hossam Mohammed Abdel-Aziz, Rabie Saad Farag, Soha Ali Abdel-Gawad

    Published 2020-12-01
    “…Overall, FB-Fe/Cu is a committed green substance for removal Caffeine from aqueous solutions. Functional parameters affect investigated using the Linear regression analysis, we found them to account for over 98% of the variables affecting the removal procedure.…”
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  17. 1697

    Beyond Collaboration: The Impact of Partner Knowledge, Relational Skills, and Internal Communication on SME’s Performance by Marsiana Setiarini

    Published 2025-04-01
    “…Meanwhile, Internal Communication functions as a routine interaction mechanism that improves collaborative competence and accelerates organizational performance. …”
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  18. 1698

    Frequency Stability Analysis Based on Full State Model in Autonomous-Synchronization Voltage Source Interfaced Power System by Zhenyao LI, Deqiang GAN, Moude LUAN, Guoqing HE

    Published 2023-05-01
    “…Then, the parameters of the autonomous-synchronization voltage source model are compared with those of the synchronous machine model, and it is proved that the function of the governor is equivalent to increasing the system damping, which can reduce the steady-state error of the system frequency after being disturbed. …”
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  19. 1699

    Reconstructing Equatorial Electron Flux Measurements From Low‐Earth‐Orbit: A Conjunction Based Framework by D. L. Stumbaugh, J. Bortnik, S. G. Claudepierre

    Published 2025-03-01
    “…For each conjunction, we fit the equatorial pitch angle distribution (PAD) parameterized by the function JD=C⋅sinNα. The resulting conjunction data set contains the POES electron flux measurements, L and magnetic local time coordinates, geomagnetic activity Auroral Electrojet index, and C and N coefficients from the PAD fit for each conjunction. …”
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    Article
  20. 1700

    RP-18 HPLC Analysis of Drugs’ Ability to Cross the Blood-Brain Barrier by Anna W. Sobańska, Adam Hekner, Elżbieta Brzezińska

    Published 2019-01-01
    “…On the other hand, discriminant function analyses involving log k and (log k)/PSA as discriminating variables separated the CNS+ and CNS− compounds with the success rate ca. 90%. …”
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