CooccurrenceAffinity: An R package for computing a novel metric of affinity in co-occurrence data that corrects for pervasive errors in traditional indices. by Kumar P Mainali, Eric Slud

“…We also developed the maximum likelihood estimate (MLE) of alpha in our previous study. 2. …”
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Pengaruh Project Based Learning Terhadap Kemampuan Berpikir Peserta Didik: Studi Meta Analisis by Rahmadini Darwas, Rina Sepriana, Asmar Yulastri, Dedy Irfan, Nizwardi Jalinus

“…The study employs a meta-analysis method using the random effect Restricted Maximum Likelihood model. A total of 25 articles from the Scopus and Google Scholar databases were analyzed. …”
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Whole-Genome Duplication and Purifying Selection Contributes to the Functional Redundancy of Auxin Response Factor (ARF) Genes in Foxtail Millet (Setaria italica L.) by You Chen, Bin Liu, Yujun Zhao, Wenzhe Yu, Weina Si

“…Phylogeny reconstruction of SiARFs by maximum likelihood and neighbor-joining trees revealed SiARFs could be divided into four clades. …”
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Height Measurement Method for Meter-Wave Multiple Input Multiple Output Radar Based on Transmitted Signals and Receive Filter Design by Cong Qin, Qin Zhang, Guimei Zheng, Xiaolong Fu, He Zheng

“…Finally, the proposed height measurement algorithm is compared with the Generalized Multiple Signal Classification (GMUSIC) and Maximum Likelihood (ML) height measurement algorithms. Simulation results show that the proposed algorithm can realize the height measurement of low-elevation targets. …”
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Identification of Spectrally Similar Materials From Multispectral Imagery Based on Condition Number of Matrix by Maozhi Wang, Shu-Hua Chen, Jun Feng, Wenxi Xu, Daming Wang

“…The results for a case study to identify water, ice, snow, shadow, and other materials from Landsat 8 OLI data indicate that SF-CNM can identify the materials specified by the given samples successfully and accurately and that SF-CNM significantly outperforms those of spectral angle mapper algorithm, Mahalanobis classifier, maximum likelihood, and artificial neural network, and produces the performance similar to, even slightly better than that of support vector machine.…”
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Genetic parameters for lifetime productivity in Holstein and Brown Swiss dairy cows in Honduras by Karen Alessa Copas-Medina, Manuel Valladares-Rodas, Juan José Baeza-Rodríguez, José Candelario Segura-Correa, Juan Magaña-Monforte

“…Data were analyzed using restricted maximum likelihood procedure, adjusted to a univariate and to a bivariate animal model. …”
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Phylogenetic relationships between Palaearctic species of the Anopheles maculipennis complex (Diptera: Culicidae) revealed by different approaches and markers. The problem of conse... by O. V. Vaulin, Yu. M. Novikov

“…We constructed phylogenetic schemes on the sequences of a COI gene fragment, the D2 variable region of 28S rDNA and ITS2 of rRNA genes using various algorithms (Neighborjoining, Minimum Evolution, Maximum parsimony and Maximum likelihood). Two consensus schemes of the Palaearctic branch of the maculipennis complex were constructed, validated and discussed. …”
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Psychometric assessment of scales used to evaluate sexual assault prevention programming in the United States Air Force. by Kathryn E L Grimes, Nichole M Scaglione, Marni L Kan, Leah Frerichs, Christopher M Shea, Angela M Stover

“…We used full information maximum likelihood estimation with robust standard errors in Mplus. …”
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The First Complete Chloroplast Genome Sequence of <i>Secale strictum</i> subsp. <i>africanum</i> Stapf (<i>Poaceae</i>), the Putative Ancestor of the Genus <i>Secale</i> by Lidia Skuza, Piotr Androsiuk, Romain Gastineau, Magdalena Achrem, Łukasz Paukszto, Jan Paweł Jastrzębski

“…Phylogeny reconstruction based on the maximum-likelihood method reveals notable genetic similarity between <i>S. strictum</i> and <i>S. africanum</i>, supporting their genetic and phylogenetic distinction. …”
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Fast and accurate imputation of genotypes from noisy low-coverage sequencing data in bi-parental populations. by Cécile Triay, Alice Boizet, Christopher Fragoso, Anestis Gkanogiannis, Jean-François Rami, Mathias Lorieux

“…The imputation of genotypes and recombination breakpoints is based on maximum-likelihood estimation. We compare its performance with Tassel-FSFHap and LB-Impute using simulated data and two real datasets. …”
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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

“…The restricted maximum-likelihood was applied to perform the meta-analysis. …”
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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

“…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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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

“…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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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

“…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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Identification and Genetic Diversity Analysis of Cinnamomum parthenoxylon (Jack) Meisn Species in Song Hinh Protection Forest, Vietnam Based on Three Chloroplast Gene Regions by Dinh Duy Vu, Mai Phuong Pham, Ngoc Huyen Dang, Xuan Dac Le, Hung Cuong Dang, Huu Thuc Nguyen, Dang Hoi Nguyen

“…Methods: In the present study, first, three chloroplast DNA (cpDNA) regions (matK, rbcL, and trnH-psbA) were initially examined to identify C. parthenoxylon species using Maximum Likelihood (ML). Then, genetic diversity analysis of C. parthenoxylon species in the Song Hinh protection forest, Phu Yen Province, Vietnam. …”
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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

“…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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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

“…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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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

“…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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The moderating role of e-health literacy and patient-physician communication in the relationship between online diabetes information-seeking behavior and self-care practices among... by Maryam Peimani, Anita L. Stewart, Robabeh Ghodssi-Ghassemabadi, Ensieh Nasli-Esfahani, Afshin Ostovar

“…The data were analyzed using both bivariate (correlation) and multivariate (multiple linear regression) analyses using maximum likelihood estimation procedures in Mplus. Results Our results showed online DISB significantly predicted diabetes self-care (p < 0.001) and medication adherence behaviors (p = 0.005). …”
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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

“…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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