Showing 61 - 80 results of 98 for search 'Bayesian variations influence', query time: 0.09s Refine Results
  1. 61

    Livelihood in anthropic landscapes: Stable isotopes as indicators of dependence of obligate avian scavengers on intensive animal farming by Ainara Cortés-Avizanda, Joan Giménez, Iñigo Donázar-Aramendía, Eneko Arrondo, Juan Manuel Pérez-García, Eugenio Montelío, Olga Ceballos, José Antonio Sánchez-Zapata, Manuela G. Forero, José Antonio Donázar

    Published 2025-05-01
    “…This study analyzes GPS-tracking and stable isotopes of 77 Eurasian griffon vultures (Gyps fulvus) in the Iberian Peninsula to explore variations in resource consumption. By means of Bayesian isotopic mixing models we examined the influence of home range size, degree of human transformation of landscapes, and individual characteristics on diet. …”
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  2. 62

    Depressive, anxiety, and sleep disturbance symptoms in patients with obstructive sleep apnea: a network analysis perspective by Xue Luo, Shuangyan Li, Qianyun Wu, Yan Xu, Ruichen Fang, Yihong Cheng, Bin Zhang

    Published 2025-01-01
    “…The indices 'Expected influence' and 'Bridge expected influence' were used as centrality measures in the symptom network. …”
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    Article
  3. 63

    A dynamic dietary-proportion model for polychlorinated biphenyl accumulation in juvenile bluefin tuna by Jiawen Hao, Yucong Liu, Yoshiki Nishi

    Published 2025-09-01
    “…This behavior likely influences variations in toxic pollutant accumulation in their bodies. …”
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  4. 64

    Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms by Lamiae Azouggagh, Noelia Ibáñez-Escriche, Marina Martínez-Álvaro, Luis Varona, Joaquim Casellas, Sara Negro, Cristina Casto-Rebollo

    Published 2025-02-01
    “…All of which exhibited a relevant differential abundance between purebred animals using a Bayesian linear model. Conclusions The study confirms variations in gut microbiota among Iberian pig strains and their crosses, influenced by genetic and non-genetic factors. …”
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  5. 65

    Spatial distribution of mixed milk feeding and its determinants among mothers of infants aged under 6 months in Ethiopia: Spatial and geographical weighted regression analysis. by Mekuriaw Nibret Aweke, Muluken Chanie Agimas, Moges Tadesse Abebe, Tigabu Kidie Tesfie, Meron Asmamaw Alemayehu, Werkneh Melkie Tilahun, Gebrie Getu Alemu, Worku Necho Asferie

    Published 2025-01-01
    “…Household wealth (middle wealth index) and lack of baby postnatal checkups emerged as key influencers of mixed milk feeding practices.<h4>Conclusion</h4>The study found significant regional variations in mixed milk feeding practices in Ethiopia. …”
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  6. 66

    Rates of viral evolution are linked to host geography in bat rabies. by Daniel G Streicker, Philippe Lemey, Andres Velasco-Villa, Charles E Rupprecht

    Published 2012-01-01
    “…Integration of ecological and genetic data through a comparative bayesian analysis revealed that viral evolutionary rates were labile following historical jumps between bat species and nearly four times faster in tropical and subtropical bats compared to temperate species. …”
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  7. 67

    Integrating Human Mobility Models with Epidemic Modeling: A Framework for Generating Synthetic Temporal Contact Networks by Diaoulé Diallo, Jurij Schoenfeld, René Schmieding, Sascha Korf, Martin J. Kühn, Tobias Hecking

    Published 2025-05-01
    “…In particular, our experiments reveal that while variations in population size do not affect the underlying network properties—a crucial feature for scalability—altering location capacities naturally influences local connectivity and epidemic outcomes. …”
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  8. 68

    Probabilistic Model-Based Malaria Disease Recognition System by Rahila Parveen, Wei Song, Baozhi Qiu, Mairaj Nabi Bhatti, Tallal Hassan, Ziyi Liu

    Published 2021-01-01
    “…One the other hand, F1 score is also a good evaluation of these probabilistic models because there is a huge variation in class data. The complexity of these models is very high due to the increase of parent nodes in the given influence diagram, and the conditional probability table (CPT) also becomes more complex.…”
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  9. 69

    Rapid Holocene deposition in the Mackenzie Trough and Barrow Canyon areas in the western Arctic Ocean by Masanobu Yamamoto, Kenta Suzuki, Masafumi Murayama, Laura Gemery, Koji Seike, Leonid Polyak, Young Jin Joe, Shoma Uchida, Minoru Kobayashi, Jonaotaro Onodera, Keiji Horikawa, Yuhji Yamamoto, Takayuki Omori, Michinobu Kuwae, Tomohisa Irino, Yutaka Y. Watanabe, Motoyo Itoh, Eiji Watanabe

    Published 2025-07-01
    “…The cores consist of clayey silts continuously deposited with uniquely high sedimentation rates of 0.17 to 0.74 cm y−1. Variation in the Ca/Ti ratio indicates ~ 20, ~ 30, 50–60, 100–125, and 300-year cycles, likely attributed to the variation in the Aleutian Low that controls the Bering Strait inflow of Pacific waters influencing our core sites. …”
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  10. 70

    Fitness landscapes of human microsatellites. by Ryan J Haasl, Bret A Payseur

    Published 2024-12-01
    “…To meet this challenge, we focus on microsatellites, repetitive variants that mutate orders of magnitude faster than single nucleotide variants, can harbor substantial variation, and are known to influence biological function in some cases. …”
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  11. 71

    Reliability Analysis of Hybrid Laser INS Under Multi-Mode Failure Conditions by Bo Zhang, Changhua Hu, Xinhe Wang, Jianqing Wang, Jianxun Zhang, Qing Dong, Xuan Liu, Feng Zhang

    Published 2025-03-01
    “…To address uncertainties from manufacturing, technical conditions, material selection, and assembly errors, a global sensitivity analysis based on Bayesian inference evaluates parameter contributions to functional failure probability, using a sample size of N1 = 5 × 10<sup>5</sup>. …”
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  12. 72

    Hotspots of Global Water Resource Changes and Their Causes by Jiaxin Lu, Dongdong Kong, Yongqiang Zhang, Yuxuan Xie, Xihui Gu, Aminjon Gulakhmadov

    Published 2025-02-01
    “…The study employed the Bayesian Three‐Cornered Hat method to synthesize the best‐quality TWSA from original four TWSA products and the trends consistent method to identify regions with highly consistent trends. …”
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  13. 73

    Association between Heavy metals and triglyceride-glucose-related index: a mediation analysis of inflammation indicators by Yitao Hu, Yuzhe Kong, Xinling Tian, Xinyi Zhang, Yu Zuo

    Published 2025-02-01
    “…It employs a range of statistical approaches, such as linear and non-linear analyses, multiple linear regression, weighted quantile sum regression, and Bayesian kernel machine regression. Additionally, a mediation analysis investigates the role of inflammation in modifying the effects of heavy metal exposure. …”
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  14. 74

    Spatiotemporal Distribution of Human Rabies and Identification of Predominant Risk Factors in China from 2004 to 2020. by Weiwei Meng, Tianren Shen, Okugbe Ebiotubo Ohore, Susan Christina Welburn, Guojing Yang

    Published 2024-10-01
    “…This study fitted the Bayesian model of separable in spatial and temporal variation and inseparable spatiotemporal variation in disease risk respectively based on Integrated Nested Laplace Approximation (INLA) to investigate the spatiotemporal characteristics of human rabies across 31 provinces in China from 2004 to 2020. …”
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  15. 75

    A novel approach integrating multispectral imaging and machine learning to identify seed maturity and vigor in smooth bromegrass by Chengming Ou, Zhicheng Jia, Shiqiang Zhao, Shoujiang Sun, Ming Sun, Jingyu Liu, Manli Li, Shangang Jia, Peisheng Mao

    Published 2025-03-01
    “…The germination characteristics of the seeds revealed that the variations in nitrogen application and grain positions significantly influenced seeds vigor. …”
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  16. 76

    Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices by Caixia Hu, Jie Li, Yaxu Pang, Lan Luo, Fang Liu, Wenhao Wu, Yan Xu, Houyu Li, Bingcang Tan, Guilong Zhang

    Published 2025-01-01
    “…However, the performance improved significantly after integrating the four models with Bayesian optimization (all models had R<sup>2</sup> > 0.56), which realized quantitative prediction capabilities for nitrate leaching loss concentrations. …”
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  17. 77

    The burden of migraine and predictions in the Asia–Pacific region, 1990–2021: a comparative analysis of China, South Korea, Japan, and Australia by Yun-Xia Wang, Guang-Shuang Lu, Jin-Jing Zhao, Wei Dai, Na Zheng, Guo-En Yao, Ruo-Zhuo Liu

    Published 2025-05-01
    “…Joinpoint regression analysis was applied to assess temporal trends, while Bayesian age-period-cohort (BAPC) modeling was used to project future trends until 2050. …”
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  18. 78

    Uncovering temperature sensitivity of West Nile virus transmission: Novel computational approaches to mosquito-pathogen trait responses. by Julian Heidecke, Jonas Wallin, Peter Fransson, Pratik Singh, Henrik Sjödin, Pascale Claire Stiles, Marina Treskova, Joacim Rocklöv

    Published 2025-03-01
    “…Using these data, we employed Bayesian hierarchical models to estimate temperature response functions for each trait and their variation between species and experiments. …”
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  19. 79
  20. 80

    Adolescents’ Daily Lives (ADL) project: an intensive longitudinal design study protocol examining the associations between physical literacy, movement behaviours, emotion regulatio... by Sam Liu, Ryan Rhodes, Megan Ames, Sharan Srinivasa Gopalan, C Emmett Sihoe, Stephanie G Craig, Mauricio Garcia-Barrera, Jonathan Rush, E Jean Buckler

    Published 2024-11-01
    “…Multivariate analyses, including multilevel modelling, multilevel structural equation modelling and Bayesian hierarchical continuous-time SEM, will be used to model the repeated measures data and understand the simultaneous variations in daily movement behaviours, emotion regulation and mental health.Ethics and dissemination The ADL project received ethical approval from the University of Victoria Behavioural Research Ethics Board (protocol #22-0262). …”
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