Showing 67,121 - 67,140 results of 109,242 for search '"\"((\"linear structure\\") OR (\"linear ((structured\" OR structures\") OR structural\\")))*\""', query time: 0.67s Refine Results
  1. 67121

    Exploring the Dynamics of Social Media Addiction and Depression Models With Discrete and Distributed Delays by V. Madhusudanan, L. Guerrini, B. S. N. Murthy, Nhu-Ngoc Dao, Sungrae Cho

    Published 2025-01-01
    “…Unlike previous deterministic models, our approach integrates both discrete (Dirac-delta) and distributed (gamma) delay distributions to assess the linear stability of disease-free and endemic equilibria and the occurrence of Hopf bifurcation. …”
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  2. 67122

    SPATIAL AND SEASONAL VARIATION OF PEACOCK BASS (Cichla spp.) FISHERY: AN ANALYSIS OF CATCHES LANDED IN MANAUS, AMAZONAS STATE, BRAZIL by Glenda Katherine de Souza DIAS, Lucirene Aguiar de SOUZA, Carlos Edwar de Carvalho FREITAS

    Published 2020-12-01
    “…The Catch per Unit of Effort (CPUE) was obtained by dividing the total catch and the number of boats. A Generalized Linear Model was used to analyse the relationship between CPUE and the river level. …”
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  3. 67123

    Association of estrogen receptor alpha gene PvuII and XbaI polymorphisms with obesity-related phenotypes and body composition in Iranian children and adolescents: a cross-sectional... by Nima Montazeri-Najafabady, Mohammad Hossein Dabbaghmanesh

    Published 2025-03-01
    “…A One-way ANOVA with Tukey post hoc analysis was conducted to examine the effects of rs2234693 (PvuII) and rs9340799 (XbaI) on body composition variation across three genetic models. Linear regression analysis was employed to test the association between the rs2234693 (PvuII) and rs9340799 (XbaI) genotypes and body composition, while controlling for confounding factors such as age, sex, and puberty. …”
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  4. 67124

    Clinical and molecular correlates of the ASPECTS in the acute phase of stroke by Aline Mansueto MOURÃO, Laélia Cristina Caseiro VICENTE, Mery Natali Silva ABREU, Romeu Vale SANT’ANNA, Fidel Castro Alves DE MEIRA, Rodrigo Menezes de Brito XAVIER, Marco Túlio de Azevedo TANURE, Erica Leandro Marciano VIEIRA, Leonardo Cruz DE SOUZA, Aline Silva de MIRANDA, Milene Alvarenga RACHID, Antônio Lucio TEIXEIRA

    “…Patients with NCTT changes also exhibited higher levels of IL-1β and adiponectin. In the linear multivariate regression, an adjusted R coefficient of 0.515 was found, indicating adiponectin and NIHSS as independent predictors of ASPECTS. …”
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  5. 67125

    Genetic diversity and development of core collection in tobacco (Nicotiana tabacum L.) resources by Zhou Jiaping, Yang Chunyuan, Wu Chun, Wang Rengang, Shi Yuewei, Xie Shengdong, Wang Zhihong, Xu Haiming, Ren Xueliang

    Published 2014-07-01
    “…The genetic variations of 12 agronomic traits were analyzed and the genotypic values of each accession were predicted by a mixed linear model approach. Significant genotypic variations were detected for 11 traits, as well as genotype × environment interaction for 10 traits. …”
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  6. 67126

    Physicochemical and Phytochemical Determinations of Greek “Kollitsida’’ (<i>Arctium lappa</i> L.) from Different Regions and Evaluation of Its Antimicrobial Activity by Dimitrios G. Lazaridis, Sokratis D. Giannoulis, Maria Simoni, Vassilios K. Karabagias, Nikolaos D. Andritsos, Vasileios Triantafyllidis, Ioannis K. Karabagias

    Published 2025-06-01
    “…Finally, the application of multivariate analysis on the data obtained using deionized water or ethanol of grape origin as an extraction solvent for the analyses classified samples according to their geographical origin by 100%, using the cross-validation method of linear discriminant analysis. The study brings new knowledge regarding the physicochemical, phytochemical, and antibacterial profiles, along with the authenticity, of Greek Kollitsida.…”
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  7. 67127

    Prediction of the Gross Motor Function Measure-66 in Ambulant Children with Cerebral Palsy Based on Instrumental Gait Analysis Using Machine-Learning Algorithms by Stephanie Gross, Karoline Spiess, Stefanie Steven, Maja Zimmermann, Eckhard Schoenau, Ibrahim Duran

    Published 2025-08-01
    “…For the prediction of the GMFM-66, different statistical models were used (multiple linear regression and machine learning algorithms). …”
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  8. 67128

    Experimental Study and Application of a Novel Foamed Concrete to Yield Airtight Walls in Coal Mines by Hu Wen, Shixing Fan, Duo Zhang, Weifeng Wang, Jun Guo, Qingfeng Sun

    Published 2018-01-01
    “…On the contrary, the compressive strength (σ) and elastic modulus (E) increased in exponential and linear relationship separately with the increase in density, under uniaxial compression conditions. …”
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  9. 67129

    Determinants of the profitability and producers’ preferences for quality cassava planting material in Cameroon by Paul Martin Dontsop Nguezet, Annie Claudia Stephanie Mbanda Eyoum, Jean Charles Ononino, Apollin Fotso, Stephan L. Tubene, Zoumana Bamba, Pheneas Ntawuruhunga

    Published 2025-08-01
    “…Considering the effect of profitability on the match between supply and demand, it is observed that the margin rate has a non-linear relationship with the match. Furthermore, nearly 7 out of 10 households intended to purchase CQPM. …”
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  10. 67130

    MATHEMATICAL MODEL OF THE FUNCTIONING PROCESS OF A RUBBER BUSHING ON THE HOOKE AND SAINT-VENANT ELEMENTS’ BASIS by D. A. Tikhov-Tinnikov, V. S. Baradiev, A. I. Fedotov, A. V. Alekseev

    Published 2019-12-01
    “…When a bushing is deformed, linear sections appear in characteristics. It is advisable to describe such characteristics using a mathematical model based on the classical elements of Hooke and Saint-Venant. …”
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  11. 67131

    Shale volume estimation using machine learning methods from the southwestern fields of Iran by Parirokh Ebrahimi, Ali Ranjbar, Yousef Kazemzadeh, Ali Akbari

    Published 2025-03-01
    “…This study aims to compare the performance of several advanced ML models—namely, Artificial Neural Networks (ANNs), Bayesian Algorithm (BA), Least Squares Boosting (Lsboost), Linear Regression (LR), Random Forest (RF), and Support Vector Machine (SVM)—for shale volume estimation using well log data. …”
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  12. 67132

    Optimization of Pharmacotherapy with Direct Oral Anticoagulants: the Need to Choose the Right Dosage Regimen by A. I. Kochetkov, O. D. Ostroumova

    Published 2019-09-01
    “…The favorable apixaban pharmacokinetic properties, consisting in low renal clearance, lack of clinically relevant interaction with food and the linear smooth effect on the blood coagulation components without episodes of hypo- and hypercoagulation, are the most important components of high efficacy and safety of this DOAC. …”
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  13. 67133

    Position Control of a Maglev System Fed by a DC/DC Buck Power Electronic Converter by Victor Manuel Hernández-Guzmán, Ramón Silva-Ortigoza, Magdalena Marciano-Melchor

    Published 2020-01-01
    “…In this respect, we stress that most works in the literature on control of electromechanical systems actuated by power electronic converters are devoted to control brushed DC motors which are well known to have a linear model. Furthermore, despite the plant that we control in the present paper is complex, our control law is simple. …”
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  14. 67134

    Shadow Investment Activity as a Factor of Macroeconomic Instability by Zolkover Andrii, Marin Georgiev

    Published 2020-12-01
    “…Methodological tools of the research methods were linear and nonlinear regression analysis, iterative method of Brown-Robinson, which is the basis for solving the problem of game theory. …”
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  15. 67135

    Particle flow simulation experiments on the influence of non-penetrating random fractures on the deformation and failure characteristics of sandstone by Wangxuan Zhu, Qingbiao Guo, Xiang Hua, Jin Luo, Jiasheng Yang

    Published 2025-09-01
    “…The compressive strength and elastic modulus show an approximately linear negative correlation with fracture density and an approximately exponential negative correlation with individual fracture size. …”
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  16. 67136

    Relationship between the plant, seeds and physiological characteristics in the soybean by Jessica Deolinda Leivas Stecca, Maria Inês Diel, Alessandro Dal'Col Lúcio, Evandro Ademir Deak, Matheus Martins Ferreira, Glauber Monçon Fipke, Lucas Nascimento Brum, Thomas Newton Martin

    Published 2025-08-01
    “…The aim of this study was to identify the canonical correlations between the seeds, physiological and plant characteristics of soybean, as well as the Pearson linear correlations within each set of characteristics. …”
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  17. 67137

    Determination of 10 organic acid contents in tea using high performance liquid chromatography-diode array detector by WANG Lili, YANG Junguo, LIN Qingxia, XIANG Lihui, SONG Zhenshuo, ZHANG Yinggen, CHEN Lin

    Published 2019-02-01
    “…It is appeared that the newly developed method can yield fine linear relationship, desirable precision, repeatability and separability for determinations of 10 organic acids in tea.…”
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  18. 67138

    Short-Term Forecasting of Non-Stationary Time Series by Amir Aieb, Antonio Liotta, Alexander Jacob, Muhammad Azfar Yaqub

    Published 2024-07-01
    “…Through the exploration of linear and sinusoidal transformation, we aim to assess their impact on increasing the accuracy of forecasting models. …”
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  19. 67139

    Long Term Predictability of Southern Ocean Surface Nutrients Using Explainable Neural Networks by Gian Giacomo Navarra, Curtis Deutsch, Antonios Mamalakis, Andrew Margolskee, Graeme MacGilchrist

    Published 2025-06-01
    “…To benchmark the results, we compare the prediction skill of TCANN with a simple persistence model and two regression methods, a linear regression and a ridge regression. The TCANN model was able to predict NO3− variability with a higher skill than persistence and the two regression methods indicating that non‐linearities present in the system become too high to predict inter‐annual variability with traditional regression methods. …”
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  20. 67140

    Ensemble Methods for Peristaltic Pump Accuracy Enhancement by Davide Privitera, Alessandro Mecocci, Sandro Bartolini

    Published 2025-01-01
    “…Statistical validation via a multi-dimensional framework confirms the significance of these improvements through multiple complementary tests: paired t-tests showing significant mean differences with p <inline-formula> <tex-math notation="LaTeX">$\leq 0.001$ </tex-math></inline-formula>, Mann-Whitney U tests confirming distributional shifts, Levene tests demonstrating variance modifications with statistics up to 801.65, and mixed linear model analysis with F-statistics ranging from 0.004 to 1497.75 confirming global effects.…”
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