Showing 4,781 - 4,800 results of 6,053 for search 'model composition (method OR methods)', query time: 0.28s Refine Results
  1. 4781

    Gender differences in early childhood development in rural China: a sibling structure perspective by Hongyu Guan, Xiangzhe Chen, Lidong Zhang, Yunyun Zhang, Yuxiu Ding, Ai Yue

    Published 2025-08-01
    “…While gender disparities have narrowed in recent decades, concerns remain regarding unequal household resource allocation in low- and middle-income countries, particularly in contexts shaped by traditional son preference. Methods Data from 1,320 children aged 3 to 7 years across 11 nationally designated poverty counties in the Qinling Mountain region of western China were analyzed. …”
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  2. 4782

    P-62 SARCOPENIA AND PSOAS MUSCLE DENSITY ARE INDEPENDENT PREDICTORS OF SURVIVAL OF LIVER TRANSPLANT RECIPIENTS by CARLOS BENÍTEZ GAJRADO, Matías Hernández, Cecilia Besa

    Published 2024-12-01
    “…We evaluated to association of PMI and Psoas Muscle Density (PMD) and post-LT survival in hispanic population Patients / Materials and Methods: Retrospective review of a cohort of LT recipients at UC-Christus Clinical Hospital between 2016 and 2022. …”
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  3. 4783

    The Mediating Role of Anthropometric Improvements in The Effects of Resistance Training on Speed, Strength, and Power in U20 Futsal Athletes by Mirza Asmara, Yudik Prasetyo, Bernadeta Suhartini, Gallant Pamungkas, Burhaan Shodiq

    Published 2025-07-01
    “…This study aimed to examine whether implementing an eight‑week resistance‑training programme enhances 20‑m sprint speed, lower‑body strength, and explosive power in U17 futsal athletes, and whether body fat change mediates these effects. Materials and methods. Thirty 18-19‑year‑old male players completed periodised resistance sessions that were conducted on a thrice-weekly basis. …”
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  4. 4784

    Understanding the Relationship Between Gender Representation in County Government and Perinatal Outcomes to Black, White, and Hispanic Birthing People in Georgia by Kaitlyn K. Stanhope, Pragati Kapila, Afsha Hossain, Maha Abu-Salah, Vanshika Singisetti, Amal Umerani, Sierra Carter, Sheree Boulet

    Published 2024-04-01
    “…Objective: To characterize the association between percent of county-level elected officials who were female-presenting and perinatal outcomes in Georgia and variation by individual race, 2020–2021. Materials and Methods: We gathered data on the gender composition of county-level elected officials for all Georgia counties (n = 159) in 2022 and calculated the percent of female elected officials (percent female, 0–100). …”
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  5. 4785

    Use of Eucalytpus mixed with native species for initial reforestation in the Atlantic Forest by Bruna S. Crivilin, Fernanda L. Cunha, Josiana J. N. Basílio, Lucas A. de Melo, Soraya A. Botelho

    Published 2025-05-01
    “…We evaluated different proportions of Eucalyptus and native species and the effect of the biodiversity of species on tree growth. Material and Methods: The experiment followed a completely randomised block design with four replicates using a 3 × 19 factorial scheme. …”
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  6. 4786

    Phosphorus speciation in water and sediments by Magdalena Matula, Małgorzata Wojtkowska

    Published 2025-04-01
    “…The concentrations of phosphorus forms were related to water quality and the composition of bottom sediments. The presence of mineral forms of phosphorus in water was modeled using the PHREEQC program, which used physico-chemical parameters of water quality. …”
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  7. 4787

    Using iDNA to determine impacts of Amazonian deforestation on Leishmania hosts, vectors, and their interactions. by Aimee L Massey, David José Ferreira da Silva, Carla Julia da Silva Pessoa Vieira, Jennifer M Allen, Gustavo Rodrigues Canale, Christine Steiner São Bernardo, Roberta Vieira de Morais Bronzoni, Carlos A Peres, Taal Levi

    Published 2025-03-01
    “…Strong data informing this debate are sparse because it is challenging to establish direct links between hosts, vectors, and pathogens. However, molecular methods using invertebrate-derived DNA (iDNA) can now measure species composition and interactions from vector samples at landscape scales, which has the potential to improve mechanistic understanding of the effects of land-use change on zoonotic disease risk.…”
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  8. 4788

    Effects of Schistosoma haematobium infection and treatment on the systemic and mucosal immune phenotype, gene expression and microbiome: A systematic review. by Anna M Mertelsmann, Sheridan F Bowers, Drew Wright, Jane K Maganga, Humphrey D Mazigo, Lishomwa C Ndhlovu, John M Changalucha, Jennifer A Downs

    Published 2024-09-01
    “…This systematic review comprehensively investigates and assimilates the effects of S. haematobium infection on systemic and local host mucosal immunity, cellular gene expression and microbiome.<h4>Methods</h4>We conducted a systematic review assessing the reported effects of S. haematobium infections and anthelmintic treatment on the immune system, gene expression and microbiome in humans and animal models. …”
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  9. 4789

    The feasibility of an exercise intervention in males at risk of oesophageal adenocarcinoma: a randomized controlled trial. by Brooke M Winzer, Jennifer D Paratz, Jonathan P Whitehead, David C Whiteman, Marina M Reeves

    Published 2015-01-01
    “…Secondary outcomes included waist circumference, body composition, fitness, strength and gastro-oesophageal reflux symptoms. …”
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  10. 4790

    Labour precariousness in the Mexican health workforce: taking to the surface a neglected problematic issue by Gustavo Nigenda, Edson Serván-Mori, Patricia Aristizabal, Rosa Amarilis Zárate-Grajales, Germán Fajardo-Dolci, Rafael Lozano

    Published 2025-06-01
    “…Abstract Background Little attention has been paid to quantifying job precariousness among health workers in low- and middle-income countries. Analytical models of human resources for health omit work precarity as a relevant phenomenon. …”
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  11. 4791

    Effect of Reinforcement Ratio and Particle Size on the Physical and Mechanical Performance of Epoxy Matrix Panels and Waste Wood from Iroko Chlorophora excelsa from Cameroon by Claude Takoumbe, Joseph Zobo Mfomo, Achille Bernard Biwole, Elvis Mbou Tiaya, Jean Aimé Mono, Prince Hermann Pokem Nguimjeu, Linus Ntsotsa Biwole

    Published 2024-01-01
    “…In terms of kinetics, Verma et al.’s model best correlates the experimental desorption points for the 3 isotherms, while Page’s model best correlates the water absorption points. …”
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  12. 4792

    Seasonally Robust Offshore Wind Turbine Detection in Sentinel-2 Imagery Using Imaging Geometry-Aware Deep Learning by Xike Song, Ziyang Li

    Published 2025-07-01
    “…The Composite model, in particular, showed only a 0.8% difference in the F1 score between the two seasons, compared to up to 3.7% for the baseline, indicating strong robustness to seasonal variation. …”
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  13. 4793
  14. 4794

    Innovative approach to Pb (II) removal using zinc-based MOFs-derived carbon: In-depth analysis of adsorption mechanisms, isotherms, thermodynamics, and kinetics by Samira Ahmadzadeh, Alireza Hemmati

    Published 2025-03-01
    “…To test this hypothesis, carbon derivatives were synthesized through a solvothermal method at 700 °C under a nitrogen atmosphere. The materials were characterized by XRD, FTIR, FESEM, EDX, and BET analyses. …”
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  15. 4795

    Research on Energy-Saving Optimization of Green Buildings Based on BIM and Ecotect by Mengxue Zhao, Yuetao Yang, Shan Dong

    Published 2025-05-01
    “…Based on the resource conservation requirements of GB/T 50378-2019 “Green Building Evaluation Standard”, this study constructed a BIM–Ecotect collaborative analysis model and proposed a “four-dimensional integration” green performance optimization method. …”
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  16. 4796

    Rapid <i>Salmonella</i> Serovar Classification Using AI-Enabled Hyperspectral Microscopy with Enhanced Data Preprocessing and Multimodal Fusion by MeiLi Papa, Siddhartha Bhattacharya, Bosoon Park, Jiyoon Yi

    Published 2025-08-01
    “…This study presents a rapid, culture-independent method leveraging artificial intelligence (AI) to classify <i>Salmonella</i> serovars from rich hyperspectral microscopy data. …”
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  17. 4797

    Context-Aware Trust Prediction for Optimal Routing in Opportunistic IoT Systems by Abdulkadir Abdulahi Hasan, Xianwen Fang, Sohaib Latif, Adeel Iqbal

    Published 2025-06-01
    “…To validate the framework, we conduct a two-phase simulation-based analysis: a scenario-driven evaluation that demonstrates the model’s behavior in controlled settings, and a large-scale NS-3-based simulation comparing our method with benchmark routing schemes, including random, greedy, and AI-based protocols. …”
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  18. 4798

    Enhanced aqueous phosphate removal using chitosan-modified zirconium-loaded cork biochar by Luiza Usevičiūtė, Artūras Kaklauskas, Vaidotas Danila, Tomas Januševičius

    Published 2025-08-01
    “…This study reports the synthesis of a new adsorbent material: Zr(IV)-loaded chitosan-modified used cork stopper biochar composite (CS–CBC–Zr) beads. The suitability of CS–CBC–Zr beads for PO4–P removal was assessed using the batch method. …”
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  19. 4799

    THEORY AND EXPERIMENTAL RESEARCH ON CUTTING PROCESSING OF AUTOMOBILE 6061 ALUMINUM ALLOY MATERIALS by WANG YunXia, QI XiaoMin

    Published 2019-01-01
    “…Automobile 6061 aluminum alloy materials has been taken as the research object,the samples have been obtained by the metallurgical technology by adding reinforcing phase fly ash,the cutting theory model under different process parameters have been established based on the grey multi response optimization theory,at the same time the cutting experiments under different process parameters have been conducted,the effects of different process parameters on the cutting of the automobile 6061 aluminum alloy materials have been studied by the theory and experimental methods. …”
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  20. 4800

    Data-driven machine learning with lattice distortion and thermodynamic parameters guided strength optimization of refractory high-entropy alloys by Shujian Ding, Yifan Zhang, Siyang Lei, Xiang Weng, Wenhui Li, Wei Ren, Jian Chen, Weili Wang

    Published 2025-09-01
    “…The development of refractory high-entropy alloys (RHEAs) through conventional trial-and-error approaches I s highly inefficient given the vast compositional space. To address this difficulty, a data-driven machine learning (ML) model was established to predict the compressive yield strength (σ0.2) of RHEAs, which provides a design strategy with two pivotal descriptors concerning lattice distortion and thermodynamic parameters. …”
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