Showing 301 - 320 results of 345 for search '"maximum likelihood"', query time: 0.05s Refine Results
  1. 301

    Prevalence of autoimmune thyroid disease in patients with psoriasis: a meta-analysis by Peng Zhang, Ruifang Wu, Xiaochao Zhang, Suhan Zhang, Siying Li, Yuwen Su

    Published 2022-01-01
    “…The restricted maximum-likelihood was applied to perform the meta-analysis. …”
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    Article
  2. 302

    Comparative Analysis of Seventeen Mitochondrial Genomes of Mileewinae Leafhoppers, Including the Unique Species Mileewa digitata (Hemiptera: Cicadellidae: Mileewinae) From Xizang,... by Hongli He, Bin Yan, Xiaofei Yu, Maofa Yang

    Published 2025-01-01
    “…Phylogenetic analyses using Bayesian Inference (BI) and Maximum Likelihood (ML) generated six trees, further questioning the monophyly of the genera Mileewa, Ujna, and Processina. …”
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    Article
  3. 303

    A new species of Acanthosaura Gray, 1831 (Reptilia: Agamidae) from the Truong Son Mountain Range, Vietnam by Hai Ngoc Ngo, Linh Tu Hoang Le, Tao Thien Nguyen, Tuan Minh Nguyen, Ngan Thi Nguyen, Tien Quang Phan, Truong Quang Nguyen, Thomas Ziegler, Dang Trong Do

    Published 2025-02-01
    “…Acanthosaura cuongi sp. nov. differs from its congeners by a combination of the following diagnostic characteristics: size moderate (snout-vent length: 79.4–104.61 mm); the absence of a diastema between the short nuchal and dorsal crest spines; vertebral crests composed of two rows of enlarged, keeled, pointed scales, arranged in a zipper line; various body coloration with light-green, orange-yellow, and light or purple-gray; black eye patch extending posteriorly to the anterior edge of tympanum. Maximum likelihood (ML) and Bayesian inference (BI) analyses using two mitochondrial genes (COI and Cytb) support the monophyly of Acanthosaura cuongi. …”
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  4. 304

    Functional Responses of the Warehouse Pirate Bug <i>Xylocoris flavipes</i> (Reuter) (Hemiptera: Anthocoridae) on a Diet of <i>Liposcelis decolor</i> (Pearman) (Psocodea: Liposcelid... by Augustine Bosomtwe, George Opit, Kristopher Giles, Brad Kard, Carla Goad

    Published 2025-01-01
    “…The functional responses of adult♀ and nymphs of <i>X. flavipes</i> on a diet of nymphs, adult♂, and adult♀ of <i>L. decolor</i> were determined under laboratory conditions at 28 ± 1 °C, 63 ± 5% RH, and a 0:24 (L:D) photoperiod. Maximum likelihood estimates (MLEs) of a logistic regression analysis showed that the functional responses of the life stages of <i>X. flavipes</i> on diets of three stages of <i>L. decolor</i> were Holling Type II. …”
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  5. 305

    Characterizations of cytokines and viral genomes in serum of patients with Dabie bandavirus infection by Zefeng Dong, Man Yuan, Yueping Xing, Hongkai Zhang, Qiang Shen

    Published 2025-01-01
    “…Phylogenetic trees for the L, M, and S segments of Dabie bandavirus were constructed using the maximum likelihood (ML) method in MEGA 11 software, with the bootstrap value set at 1,000.ResultsAll 10 patients with Dabie bandavirus infection exhibited a severe clinical course, resulting in three fatalities. …”
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  6. 306

    Accurate pulse time distribution determination using MLEM algorithm in integral experiments by S.Y. Zhang, Y.B. Nie, Y.Y. Ding, Q. Zhao, K.Z. Xu, X.Y. Pan, H.T. Chen, Q. Sun, Z. Wei

    Published 2025-02-01
    “…By strategically placed monitors and shields at angles of 0° and 90° relative to the beam direction, neutron flight times from the target are measured, and a response matrix for neutron emission at different times is constructed through simulation. The Maximum Likelihood Expectation Maximization (MLEM) algorithm is employed for pulse time reconstruction, with the gamma ray flight time spectrum from monitors used as the initial spectrum to streamline the computational process. …”
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  7. 307

    A multidimensional Bayesian IRT method for discovering misconceptions from concept test data by Martin Segado, Aaron Adair, John Stewart, Yunfei Ma, Byron Drury, David Pritchard

    Published 2025-01-01
    “…The method also compares favorably to existing IRT software implementing marginal maximum likelihood estimation which we use as a validation benchmark. …”
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  8. 308

    Machine learning-based monitoring of land cover and reclamation plantations on coal-mined landscape using Sentinel 2 data by Mayank Pandey, Alka Mishra, Singam L. Swamy, James T. Anderson, Tarun Kumar Thakur

    Published 2025-02-01
    “…Support Vector Machine has been identified as a more accurate and effective ML algorithm compared to Random Forest and Maximum Likelihood Classifier in delineating land use and vegetation classes, particularly forests, and in distinguishing reclamation plantations into three age classes: young (4 ± 3 years), middle-aged (10 ± 2 years), and mature (15 ± 2 years). …”
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  9. 309

    Neonatal outcomes and resuscitation practices following the addition of heart rate-guidance to basic resuscitation. by Jackie K Patterson, Daniel Ishoso, Adrien Lokangaka, Pooja Iyer, Casey Lowman, Joar Eilevstjønn, Ingunn Haug, Beena D Kamath-Rayne, Eric Mafuta, Helge Myklebust, Tracy Nolen, Antoinette Tshefu, Carl Bose, Sara Berkelhamer

    Published 2025-01-01
    “…We evaluated our primary outcome of effective breathing at three minutes after birth among newborns not breathing well at 30 seconds after birth employing generalized linear models using maximum likelihood estimation.<h4>Results</h4>Among 1,284 newborns with observational data, there was no difference in the proportion effectively breathing at three minutes (adjusted relative risk 1.08 [95% CI 0.81, 1.45]). …”
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  10. 310

    First two mitochondrial genomes for the order Filobasidiales reveal novel gene rearrangements and intron dynamics of Tremellomycetes by Qiang Li, Zhijie Bao, Ke Tang, Huiyu Feng, Wenying Tu, Lijiao Li, Yunlei Han, Mei Cao, Changsong Zhao

    Published 2022-05-01
    “…Phylogenetic analyses based on Bayesian inference and the maximum likelihood methods using a combined mitochondrial gene set generated identical and well-supported phylogenetic trees, wherein Filobasidium species had close relationships with Trichosporonales species. …”
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  11. 311

    Optimal distribution modeling and multifractal analysis of wind speed in the complex terrain of Sichuan Province, China by Cun Zhan, Renjuan Wei, Lu Zhao, Shijun Chen, Chunying Shen

    Published 2025-02-01
    “…Accordingly, we evaluated maximum likelihood estimation and three goodness-of-fit tests to identify the optimal distribution model of daily wind speed records during 1961–2017 across 156 weather stations in Sichuan Province among six commonly used probability density distributions. …”
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  12. 312

    Monitoring land changes at an open mine site using remote sensing and multi-spectral indices by Ikram Loukili, Ahmed Laamrani, Mustapha El Ghorfi, Saida El Moutak, Abdessamad ghafiri

    Published 2025-01-01
    “…Five LULC maps were generated using supervised classification with the maximum likelihood method, providing detailed insights into both urban and non-urban transformations during the study period. …”
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  13. 313

    Putative and pretreatment drug resistance mutations in reverse transcriptase gene among untreated chronic hepatitis B patients at Arifin Achmad Regional District Hospital, Riau, In... by Arfianti Arfianti, Fauzia Andrini Djojosugito, Maisaroh Maisaroh, Hendra Asputra, Dita Kartika Sari, Tubagus Odih Rhomdani Wahid

    Published 2022-05-01
    “…The HBV genotype was determined through phylogenetic analysis using the Maximum Likelihood method. Results: The study subjects comprised 14 CHB patients without complications and 12 CHB patients with cirrhosis/hepatoma. …”
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  14. 314

    Sequence Variation in Toxoplasma gondii rop17 Gene among Strains from Different Hosts and Geographical Locations by Nian-Zhang Zhang, Ying Xu, Si-Yang Huang, Dong-Hui Zhou, Rui-Ai Wang, Xing-Quan Zhu

    Published 2014-01-01
    “…The rop17 gene was amplified and sequenced from 10 T. gondii strains, and phylogenetic relationship among these T. gondii strains was reconstructed using maximum parsimony (MP), neighbor-joining (NJ), and maximum likelihood (ML) analyses. The partial rop17 gene sequences were 1375 bp in length and A+T contents varied from 49.45% to 50.11% among all examined T. gondii strains. …”
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  15. 315

    Type of arrhythmias and the risk of sudden cardiac death in dialysis patients: a systematic review and meta-analysis by Subhash Chander, Ahmad Bin Aamir, Rabia Latif, Om Parkash, F. N. U. Sorath, Sam Tan, Abhi Chand Lohana, Sheena Shiwlani, Mohammed Yaqub Nadeem

    Published 2025-01-01
    “…Effect size from eligible studies was pooled using a random effects model and restricted maximum likelihood estimation. Heterogeneity was quantified using the I 2 statistic, and the risk of publication bias was evaluated by visually inspecting funnel plots. …”
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  16. 316

    Genetic Parameters of Semen Traits and Their Correlations with Conformation Traits in Chinese Holstein Bulls by Xiao Wang, Jian Yang, Jie Xue, Miao Zhang, Fan Zhang, Kun Wang, Yanqin Li, Yuanpei Zhang, Xiaoping Wu, Feng Wang, Xiuxin Zhao, Junqing Ni, Yabin Ma, Rongling Li, Lingling Wang, Guosheng Su, Yundong Gao, Jianbin Li

    Published 2024-01-01
    “…In this study, the genetic parameters of seven semen traits (n = 66,260) and nine conformation traits (n = 3,642) of Holstein bulls (n = 453) were estimated by using the bivariate repeatability animal model with the average information-restricted maximum likelihood (AI-REML) approach. The results showed that the estimated heritabilities of semen traits ranged from 0.06 (total number of motile sperm, TNMS) to 0.37 (percentage of abnormal sperm, PAS) and conformation traits ranged from 0.23 (pin width, PW) to 0.69 (hip height, HH). …”
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  17. 317

    Application of Machine Learning Techniques to Distinguish between Mare, Cryptomare, and Light Plains in Central Lunar South Pole−Aitken Basin by Frank C. Chuang, Matthew D. Richardson, Jennifer L. Whitten, Daniel P. Moriarty, Deborah L. Domingue

    Published 2025-01-01
    “…A two-step image classification approach was applied to the data sets, an unsupervised K-Means algorithm followed by a supervised Maximum Likelihood Classification (MLC) algorithm. K-Means identified four units, one associated with dark smooth maria, two not associated with any particular features, and a fourth associated with edge effects. …”
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  18. 318

    Predicting residual pain after vertebral augmentation in vertebral compression fractures: a systematic review and critical appraisal of risk prediction models by Siyi Wang, Mingpeng Shi, Xue Zhou, Jianan Yu, Mingze Han, Xianshuai Zhang, Zhenhua Li, Xinhua Chen

    Published 2025-01-01
    “…Extracted C-statistics were combined using a weighted approach based on the Restricted Maximum Likelihood (REML) method to represent the models' average performance. …”
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  19. 319

    Modeling compositional heterogeneity resolves deep phylogeny of flowering plants by Yongli Wang, Yan-Da Li, Shuo Wang, Erik Tihelka, Michael S. Engel, Chenyang Cai

    Published 2025-01-01
    “…According to our Bayesian cross-validation and model test in a maximum likelihood framework, site-heterogeneous models (e.g., CAT-GTR + G4, LG + C20 + F + G) outperform site-homogeneous or partition models often used in previous studies. …”
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  20. 320

    Squamanitaceae and three new species of Squamanita parasitic on Amanita basidiomes by Jian-Wei Liu, Zai-Wei Ge, Egon Horak, Alfredo Vizzini, Roy E. Halling, Chun-Lei Pan, Zhu L. Yang

    Published 2021-03-01
    “…Phaeolepiota nested within Cystoderma; Squamanita, Leucopholiota, and Floccularia clustered together as two monophyletic subclades; and Squamanita was present as a monophyletic clade with strong statistical support in both Maximum Likelihood and Bayesian analyses. The family name Squamanitaceae is formally emended and a detailed taxonomic treatment is presented to accommodate the five genera. …”
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