Showing 4,741 - 4,760 results of 6,053 for search 'model composition methods', query time: 0.20s Refine Results
  1. 4741

    Pion pair production in e + e − annihilation at next-to-leading order matched to Parton Shower by Ettore Budassi, Carlo M. Carloni Calame, Marco Ghilardi, Andrea Gurgone, Guido Montagna, Mauro Moretti, Oreste Nicrosini, Fulvio Piccinini, Francesco P. Ucci

    Published 2025-05-01
    “…In particular, we carry out a detailed discussion on the inclusion of the pion form factor in the virtual sQED corrections according to two independent methods, inspired by the generalised vector meson dominance model and the dispersive approach, respectively. …”
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    Article
  2. 4742

    The role of physical metallurgical relationships in enhancing alloy properties prediction and design: A case study on Q&P steel by Yong Li, Hua Li, Chenchong Wang, Pedro Eduardo Jose Rivera‐Diaz‐del‐Castillo

    Published 2025-03-01
    “…The designed alloys, with a composition of approximately 0.3 wt.% C, 3 wt.% Mn, 1.2 wt.% Si, and minor amounts of Cr and Al, achieve a UTS exceeding 1500 MPa and TEL near 20%, aligning with PM principles and validating the rationality and feasibility of this method. …”
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  3. 4743

    Finite element analysis to assess stress and deformation in bone with glass fiber-reinforced-poly-ether-ether-ketone, zirconia, and titanium implants by Syeda Amtul Haseeb, Anju S Kumar, M P Chaitra, K C Vinaya, Soumya Shivananda Gudal, Fathima Parveen Rahmam, Prashant Babaji

    Published 2023-01-01
    “…This study was done to evaluate stress and deformation in bone with glass fiber-reinforced (GFR)-PEEK, zirconia, and titanium implants. Materials and Methods: A geometric model of mandibular molar replaced with implant-supported crown was generated. …”
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    Article
  4. 4744

    Structural dynamic response synthesis: A transformer-based time-series GAN approach by Sayed Ali Khodaei, Maryam Bitaraf

    Published 2025-06-01
    “…The model integrates a transformer architecture with an attention mechanism to capture complex temporal dependencies and employs a composite loss function that aligns generated outputs with real signals in both time and frequency domains. …”
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    Article
  5. 4745

    Extraction Optimization of Tinospora cordifolia and Assessment of the Anticancer Activity of Its Alkaloid Palmatine by Huma Ali, Savita Dixit

    Published 2013-01-01
    “…To optimize the conditions for the extraction of alkaloid palmatine from Tinospora cordifolia by using response surface methodology (RSM) and study its anticancerous property against 7,12-dimethylbenz(a)anthracene (DMBA) induced skin carcinogenesis in Swiss albino mice. Methods. The effect of three independent variables, namely, extraction temperature, time, and cycles was investigated by using central composite design. …”
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  6. 4746

    An acoustic microscope for microflaw inspection and subsurface imaging by J. Litniewski

    Published 2001-01-01
    “…This paper describes a laboratory model of an acoustic microscope designed for imaging material interior using the B-scan representation mode. …”
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    Article
  7. 4747

    Free Vibrations and Impact Resistance of a Functionally Graded Honeycomb Sandwich Plate by Jun-hua Zhang, Bao-juan Dong, Bince He, Ying Sun

    Published 2021-01-01
    “…The natural frequencies of the graded honeycomb sandwich plate are obtained by both the Navier method from the governing equation and the finite element model. …”
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    Article
  8. 4748

    Acid–Base Pretreatment and Enzymatic Hydrolysis of Palm Oil Mill Effluent in a Single Reactor System for Production of Fermentable Sugars by Nibedita Deb, Md. Zahangir Alam, Tawfikur Rahman, Ma’an Fahmi Rashid Al-Khatib, Mohammed Saedi Jami, Mariatul Fadzillah Bt. Mansor

    Published 2023-01-01
    “…Based on OFAT performance, optimization of two factors such as substrate concentration (total suspended solids, TSS %w/v) and enzyme loading (μmol/min) was carried out by applying face-centered central composite design (FCCCD) under the response surface methodology (RSM) to develop a second-order regression model. …”
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    Article
  9. 4749

    Combinatorial Data‐Driven Innovation of Ecofriendly Transparent Solar Heat Control Coating for Green Buildings by Weibin Zhang, Man Kwan Law, Muhammad Bilal Asif, Jinglei Yang

    Published 2025-06-01
    “…However, many studies have focused only on TSHC coatings composed of single functional nanoparticles, and the development of these coatings traditionally relied on trial‐and‐error methods. Herein, we propose a real experimental data‐driven tandem neural networks (NNs) model, comprising spectrum NNs and inverse design NNs, for the combinatorial innovation, development, and optimization of TSHC coatings. …”
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  10. 4750

    Thermodynamic properties of L-menthol in crystalline and gaseous states by A. V. Blokhin, Ya. N. Yurkshtovich

    Published 2020-03-01
    “…Electronic energy and frequencies of normal modes of the molecules involved in these reactions were calculated using the Gaussian 4 composite quantum chemical method. Further, the sublimation enthalpy of L-menthol was calculated using the extended Politzer equation according to the electrostatic potential model.Conclusions. …”
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    Article
  11. 4751

    Secondary prevention medication persistence and prognosis of acute ischaemic stroke or transient ischaemic attack by Lei Zhang, Yongjun Wang, Zixiao Li, Xia Meng, Yuesong Pan, Wei Lv, Hongyi Yan, Junfeng Shi, Chelsea Liu

    Published 2021-09-01
    “…Recurrent stroke, composite events and all-cause death were performed using Cox regression model, and disability was identified through logistic regression model using the generalised estimating equation method.Results 18 344 patients with acute ischaemic stroke or TIA were included, 315 (1.7%) of whom experienced recurrent strokes. …”
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  12. 4752

    Maternal Metabolic Health and Mother and Baby Health Outcomes (MAMBO): Protocol of a Prospective Observational Study by Sarah A L Price, Digsu N Koye, Alice Lewin, Alison Nankervis, Stefan C Kane

    Published 2025-04-01
    “…A multivariable logistic regression analysis will be conducted to identify candidate predictors of poor pregnancy outcomes due to metabolic disease. From this model, model coefficients and the associated 95% CIs will be extracted to derive the risk score for predicting the delivery of LGA/SGA offspring (primary outcome) and composites of adverse neonatal outcomes and maternal outcomes (secondary outcomes). …”
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  13. 4753

    Solidification Window in Al-Based Casting Alloys by Simone Ferraro, Mauro Palumbo, Marcello Baricco, Alberto Castellero

    Published 2025-04-01
    “…The CALPHAD method enables the calculation of the phases formed during solidification and the optimisation of alloy composition to meet specific industrial requirements. …”
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  14. 4754

    Single and multi-objective real-time optimisation of an industrial injection moulding process via a Bayesian adaptive design of experiment approach by Mandana Kariminejad, David Tormey, Caitríona Ryan, Christopher O’Hara, Albert Weinert, Marion McAfee

    Published 2024-11-01
    “…The multi-objective optimisation techniques, composite desirability function and Nondominated Sorting Genetic Algorithm (NSGA-II) using the Response Surface Methodology (RSM) model, are compared with the real-time novel ADoE approach. …”
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  15. 4755

    ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY CHARACTERIZATION OF KITCHEN UTENSILS USED AS MATERIALS FOR LOCAL COOKING IN TWO CULINARY MEDIA by Jacques Sawadogo, Moussa Bougouma, Aminata Kabore, Dasmané Bambara, Jean Boukari Legma

    Published 2018-12-01
    “…Modeling electrical properties by the using of a simple equivalent circuit made it possible to interpret the results obtained by impedance spectroscopy. …”
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  16. 4756

    Implementation of advanced control with artificial intelligence in anhydrous ethanol production by Marcos Gabriel Lopes da Silva, Davi Soares de Lima, Andréa Selene Embirassú Xavier, Allan Almeida Albuquerque

    Published 2025-07-01
    “…Additionally, artificial intelligence (AI) models—specifically decision tree, random forest, and LightGBM—were developed to control top product composition using easily measurable variables. …”
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  17. 4757

    Steel Fibre Reinforced Concrete Meso-Scale Numerical Analysis by Zhengwei Li, Meizhong Wu, Jiawei Wu, Yujun Cui, Xingwei Xue

    Published 2020-01-01
    “…A steel fibre bond slip is considered in an equivalent manner using the von Mises model. The results of the three-dimensional meso-scale numerical analysis method agree well with the experimental values of steel fibre concrete beams.…”
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  18. 4758

    Genetic compatibility and ecological connectivity drive the dissemination of antibiotic resistance genes by David Lund, Marcos Parras-Moltó, Juan S. Inda-Díaz, Stefan Ebmeyer, D. G. Joakim Larsson, Anna Johnning, Erik Kristiansson

    Published 2025-03-01
    “…We used a phylogenetic method to identify instances of horizontal ARG transfer in ~1 million bacterial genomes. …”
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    Article
  19. 4759

    Explaining and Analyzing the Effect of Brand Value Components on Medical Tourism Development: A Case Study of Ahvaz Metropolis by Majid Goodarzi

    Published 2025-06-01
    “…To achieve this, the collected data were coded and entered into the SPSS version 25 and AMOS version 24 software, both of which are designed for structural equation modeling. The results from the first-order confirmatory factor analysis indicated that the composite reliability values and the Average Variance Extracted (AVE) for all components—perceived quality, brand identity, brand image, brand loyalty, and brand awareness—were satisfactory, confirming both reliability and convergent construct validity. …”
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    Article
  20. 4760

    The predictive value of the serum creatinine-to-albumin ratio (sCAR) and lactate dehydrogenase-to-albumin ratio (LAR) in sepsis-related persistent severe acute kidney injury by Xiaoxiao Luo, Dongyang Liu, Cuicui Li, Jia Liao, Wuyang Lv, Yuchen Wang, Ruxue Diao, Yingyu Jin

    Published 2025-01-01
    “…Independent predictors, sCAR and LAR, were combined into a composite Log(sCAR)_Log(LAR) score, denoted as the Log(sCAR)_Log(LAR) score. …”
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