Showing 2,141 - 2,160 results of 6,053 for search 'model composition (method OR methods)', query time: 0.27s Refine Results
  1. 2141

    Understanding the Complexity of the Food System: Differences and Commonalities between Two Optimization Models by Samantha N. Heerschop, Renee P. M. Cardinaals, Sander Biesbroek, Argyris Kanellopoulos, Johanna M. Geleijnse, Pieter van ‘t Veer, Hannah H. E. van Zanten

    Published 2023-11-01
    “…Methods: we compared the Circular Food System (CiFoS) model with the Sustainable, Healthy, Acceptable, Realistic, and Preferable diets (SHARP) model. …”
    Get full text
    Article
  2. 2142

    Lightweight anomaly detection model for UAV networks based on memory-enhanced autoencoders by HU Tianzhu, SHEN Yulong, REN Baoquan, HE Ji, LIU Chengliang, LI Hongjun

    Published 2024-04-01
    “…In order to solve the problems of high energy consumption and high reliance on manual annotation data of traditional intelligent attack detection methods in UAV networks, a lightweight UAV network online anomaly detection model based on a double-layer memory-enhanced autoencoder integrated architecture was proposed. …”
    Get full text
    Article
  3. 2143

    Construction and application of near-infrared spectroscopy analysis model for peanut quality traits by Hairong CAI, Wenjing SONG, Jianben LIN, Jiawei LIU, Yuanyuan GUO, Bowen LI, Haiyang YANG, Jiayi LU, Hanfeng SHI, Jiankuan WANG, Fangming LI, Tao GUO

    Published 2025-07-01
    “…The single and composite preprocessing methods were compared to select the best model that performed optimally under this spectral preprocessing by comparing the determination coefficients (R2) and root mean square errors of calibration (RMSEC) of different models. …”
    Get full text
    Article
  4. 2144

    Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study by Shengyu Liu, Anran Wang, Xiaolei Xiu, Ming Zhong, Sizhu Wu

    Published 2024-10-01
    “…MethodsThis study comprehensively evaluated 7 NER models—hidden Markov models, conditional random fields, BERT for Biomedical Text Mining, Big Transformer Models for Efficient Long-Sequence Attention, Decoding-enhanced BERT with Disentangled Attention, Robustly Optimized BERT Pretraining Approach, and Gemma—across 3 medical datasets: Revised Joint Workshop on Natural Language Processing in Biomedicine and its Applications (JNLPBA), BioCreative V CDR, and Anatomical Entity Mention (AnatEM). …”
    Get full text
    Article
  5. 2145

    Composición corporal y autoestima corporal en usuarios de gimnasios en una población colombiana (Body composition and body self-esteem in gym users in a Colombian city) by Andrés Felipe Arias Giraldo, Enoc Valentín González Palacios, Astrid Viviana Vargas Romero

    Published 2024-11-01
    “…Conclusion: Low correlations were found between body self-esteem and body composition measured with the five-component model in men (percentage of muscle mass, bone mass, residual mass, and percentage of fat) and women (muscle mass, fat mass, and skin mass). …”
    Get full text
    Article
  6. 2146

    MODELING HEAT EXCHANGE DEPENDING ON THE PRANDTL NUMBER FOR VARIOUS GEOMETRIC AND REGIME PARAMETERS by I. E. Lobanov

    Published 2020-01-01
    “…A calculation was carried out on the basis of a theoretical method based on the solution of the Reynolds equations by factored finite-volume method closed with the help of the Menter shear stress transport model, as well as the energy equation on different-scaled intersecting structured grids (fast composite mesh method (FCOM)).Results. …”
    Get full text
    Article
  7. 2147

    Probiotic potential of Phocaeicola coprocola in modulating learning and memory behaviors in the honeybee model by Mengqi Xu, Mengqi Xu, Xiaohan Zhang, Xiaohan Zhang, Xi Luo, Guanzhou Zhou, Guanzhou Zhou, Nana Zhang, Xiaoyan Chi, Xiaoyan Chi, Rongrong Ren, Lihua Peng, Gang Sun, Yunsheng Yang, Yunsheng Yang

    Published 2025-06-01
    “…However, its functional roles and underlying mechanisms remain poorly understood.MethodsWe evaluated the effects of P. coprocola on cognitive performance using the honeybee (Apis mellifera) as a novel model for the microbiota–gut–brain axis. …”
    Get full text
    Article
  8. 2148

    Designing an entrepreneurial ecosystem model in a university with a knowledge-based approach by Nahid Mir, Amin Rahimi Kia, Mehry Daraei

    Published 2024-08-01
    “…The results in the qualitative part showed that 67 primary codes, 11 basic themes, and 5 constructive themes are identified in most infrastructure and support clusters (2 themes), integration of technology and knowledge (2 themes), education and culture (3 themes), policy and planning. (2 themes), and integrated management (2 themes); and relationships between them were drawn and presented in the form of a paradigmatic model. The results of the quantitative part showed that 5 indicators and 11 components with factor load, average extracted variance, and convergent validity are higher than (0.4), Cronbach's alpha coefficient and composite reliability are higher than (0.7), significant t coefficients is higher than (1.96); all were confirmed, and the model has a strong fit.ConclusionThe purpose of this research was to design an entrepreneurship ecosystem model in a university. …”
    Get full text
    Article
  9. 2149
  10. 2150

    Innovative Model for Material Selection Within the Automotive Lightweight Eco-Design Field by Edoardo Risaliti, Arcidiacono Gabriele, Francesco Del Pero, Paolo Citti

    Published 2025-02-01
    “…The conceived approach combines the Ashby method, which assesses mechanical properties and costs, with the VIKOR multi-criteria decision analysis, including a comprehensive model functional to assess the environmental impact of the considered automotive assets. …”
    Get full text
    Article
  11. 2151

    Evaluation of Sustainability for Coal Consumption Using a Multiattribute Decision-Making Model by Guodang Zhao, Xuyang Guo, Xin Wang, Dezhi Zheng

    Published 2023-01-01
    “…This study proposed a method to evaluate sustainability for coal consumption by using a multiple-attribute decision-making (MADM) model. …”
    Get full text
    Article
  12. 2152

    Selecting Single Model in Combination Forecasting Based on Cointegration Test and Encompassing Test by Chuanjin Jiang, Jing Zhang, Fugen Song

    Published 2014-01-01
    “…Combination forecasting takes all characters of each single forecasting method into consideration, and combines them to form a composite, which increases forecasting accuracy. …”
    Get full text
    Article
  13. 2153

    Comparative effectiveness of glucagon-like peptide-1 receptor agonists on body composition and anthropometric indices: A protocol for a systematic review and network meta-analysis... by Nuttaya Wachiraphansakul, Thanawat Vongchaiudomchoke, Worapaka Manosroi, Surapon Nochaiwong

    Published 2024-01-01
    “…Based on a random-effects model, we will employ a two-step approach of traditional pairwise meta-analysis and network meta-analysis for quantitative synthesis. …”
    Get full text
    Article
  14. 2154

    A data-driven group retrosynthesis planning model inspired by neurosymbolic programming by Xuefeng Zhang, Haowei Lin, Muhan Zhang, Yuan Zhou, Jianzhu Ma

    Published 2025-01-01
    “…The evolutionary process involves wake, abstraction, and dreaming phases, alternatively extending the reaction template library and refining models for more efficient retrosynthesis. Our algorithm outperforms existing methods, discovers chemistry patterns, and significantly reduces inference time in retrosynthetic planning for a group of similar molecules, showcasing its potential in validating results from generative models.…”
    Get full text
    Article
  15. 2155

    Mechanical Modeling of the Premolar: Numerical Analysis of Stress Distribution Under Masticatory Forces by Marius Turnea, Cezar Mucileanu, Irina Duduca, Mariana Rotariu

    Published 2025-05-01
    “…This study explored the modeling of mandibular and dental components using advanced methods such as finite element analysis (FEA) and three-dimensional modeling. …”
    Get full text
    Article
  16. 2156

    Statistical Modeling of Environmental Factors on Microbial Urea Hydrolysis Process for Biocement Production by Hamed Khodadadi Tirkolaei, Huriye Bilsel

    Published 2015-01-01
    “…Variation in conductivity of the solution versus logarithmic scale of time was depicted as microbial ureolysis characteristic curve (MUCC) through which lag duration, specific rate, and potential of urea hydrolysis at each condition were obtained. Central composite face-centered (CCF) design, which is one of the response surface methodologies, was employed to statistically fit polynomial models explaining the bacterial growth and the characteristics obtained from MUCCs in terms of the environmental factors and their interactions. …”
    Get full text
    Article
  17. 2157
  18. 2158

    DMRG study of the theta-dependent mass spectrum in the 2-flavor Schwinger model by Etsuko Itou, Akira Matsumoto, Yuya Tanizaki

    Published 2024-09-01
    “…The masses of the composite particles, the pion and sigma meson, are computed by two independent methods. …”
    Get full text
    Article
  19. 2159

    Influence of a structured, 1-year-long dietary intervention regarding body composition and cardiovascular risk (ARCTIC) in coeliac disease: a protocol of a multicentre randomised c... by Zsolt Szakács, Nelli Farkas, Judit Bajor, Nándor Faluhelyi, Krisztina Hagymási, Zsófia Vereczkei, Míra Zsófia Peresztegi, Klára Lemes, Sarolta Dakó, Eszter Dakó, Szilvia Lada, Gábor Szekeres, Gyula Pásztor, Gabriella Pár, Emese Mezősi

    Published 2024-10-01
    “…We planned a randomised controlled trial to test the effect of a group-based, structured, 1-year, advanced dietary education, per the proposal of a Mediterranean diet vs standard of care, regarding the most relevant CV risk factors (eg, metabolic parameters and body composition) in CD patients.Methods and analysis Randomisation will occur after the baseline dietary education and interview in a 1:1 allocation ratio. …”
    Get full text
    Article
  20. 2160

    An interpretable stacking ensemble model for high-entropy alloy mechanical property prediction by Songpeng Zhao, Zeyuan Li, Changshuai Yin, Zhaofu Zhang, Teng Long, Jingjing Yang, Ruyue Cao, Yuzheng Guo

    Published 2025-06-01
    “…Three machine learning algorithms-Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Gradient Boosting (Gradient Boosting)-were integrated into a multi-level stacking ensemble, with Support Vector Regression serving as the meta-learner. To improve model interpretability, the SHapley Additive Explanations (SHAP) method was applied to assess feature importance. …”
    Get full text
    Article