Results 51 to 60 of about 129,944 (172)

The impact of mulberry leaf extract at three different levels on reducing the glycemic index of white bread.

PLoS ONE, 2023
In this study, the influences of mulberry leaf extract (MLE) addition on the physicochemical properties including the specific volume, texture and sensory features of white bread (WB) were evaluated by the sensory analysis technology.
Fangli Ding, Qing Wang, Chen Xie, Meng Wang, Lu Zhang, Ming Gao, Zongling Yang, Jianrui Ma, Xiaodong Shi, Wei Chen, Shenglin Duan, Peng Yuan, Yali Li, Xishan Ma, Yimin Wu, Jia Liu, Xiaowen Feng, Qingli Cheng, Zichun Wang, Xuyan Li, Jingmei Huang   +20 more
doaj   +1 more source

Asymptotic properties of the MLE for the autoregressive process coefficients under stationary Gaussian noise

, 2013
In this paper we are interested in the Maximum Likelihood Estimator (MLE) of the vector parameter of an autoregressive process of order $p$ with regular stationary Gaussian noise.
Brouste, Alexandre, Cai, Chunhao, Kleptsyna, Marina   +2 more
core   +1 more source

On the convergence of the maximum likelihood estimator for the transition rate under a 2-state symmetric model

, 2019
Maximum likelihood estimators are used extensively to estimate unknown parameters of stochastic trait evolution models on phylogenetic trees. Although the MLE has been proven to converge to the true value in the independent-sample case, we cannot appeal ...
Dinh, Vu, Ho, Lam Si Tung, Matsen IV, Frederick A., Suchard, Marc A.   +3 more
core   +1 more source

Assessing the role of civil society in poverty alleviation: A case study of Amathole district in the Eastern Cape province of South Africa

The Journal for Transdisciplinary Research in Southern Africa, 2019
The purpose of this study was to conduct an assessment of the role of civil society organisations (CSOs) in poverty alleviation, with a particular focus on three CSOs operating in the Amathole district of the Eastern Cape province.
Xolisile G. Ngumbela, Thozamile R. Mle
doaj   +1 more source

Prevention Effects and Possible Molecular Mechanism of Mulberry Leaf Extract and its Formulation on Rats with Insulin-Insensitivity. [PDF]

PLoS ONE, 2016
For centuries, mulberry leaf has been used in traditional Chinese medicine for the treatment of diabetes. This study aims to test the prevention effects of a proprietary mulberry leaf extract (MLE) and a formula consisting of MLE, fenugreek seed extract,
Yan Liu, Xuemei Li, Chen Xie, Xiuzhen Luo, Yonggang Bao, Bin Wu, Yuchi Hu, Zhong Zhong, Chang Liu, MinJie Li   +9 more
doaj   +1 more source

Maximum Likelihood Estimation of Functionals of Discrete Distributions

, 2017
We consider the problem of estimating functionals of discrete distributions, and focus on tight nonasymptotic analysis of the worst case squared error risk of widely used estimators.
Han, Yanjun, Jiao, Jiantao, Venkat, Kartik, Weissman, Tsachy   +3 more
core   +1 more source

Impact of community education on heat-related health outcomes and heat literacy among low-income communities in Karachi, Pakistan: a randomised controlled trial

BMJ Global Health, 2022
Priyanka Agrawal, Adnan A Hyder, Abdul Ghaffar, Junaid Abdul Razzak, Zaheer Chand, Saadia Quraishy   +5 more
doaj   +1 more source

DNA gyrase could be a crucial regulatory factor for growth and survival of Mycobacterium leprae

Scientific Reports, 2019
Leprosy, an important infectious disease in humans caused by Mycobacterium leprae (Mle), remains endemic in many countries. Notably, the pathogen cannot be cultured in vitro, except in mouse footpads in vivo.
Hyun Kim, Yasuo Fukutomi, Chie Nakajima, Youn Uck Kim, Shigetarou Mori, Keigo Shibayama, Noboru Nakata, Yasuhiko Suzuki   +7 more
doaj   +1 more source

$k$-MLE: A fast algorithm for learning statistical mixture models

, 2012
We describe $k$-MLE, a fast and efficient local search algorithm for learning finite statistical mixtures of exponential families such as Gaussian mixture models.
Nielsen, Frank
core   +1 more source

MAP- and MLE-Based Teaching

, 2023
Imagine a learner L who tries to infer a hidden concept from a collection of observations. Building on the work [4] of Ferri et al., we assume the learner to be parameterized by priors P(c) and by c-conditional likelihoods P(z|c) where c ranges over all concepts in a given class C and z ranges over all observations in an observation set Z.
Simon, Hans Ulrich, Telle, Jan Arne
openaire   +4 more sources