scholarly journals Feature frequency profile-based phylogenies are inaccurate

2020 ◽  
Vol 117 (50) ◽  
pp. 31580-31581 ◽  
Author(s):  
Yuanning Li ◽  
Kyle T. David ◽  
Xing-Xing Shen ◽  
Jacob L. Steenwyk ◽  
Kenneth M. Halanych ◽  
...  
Keyword(s):  
Frequency Profile ◽  
Feature Frequency

scholarly journals Feature Frequency Profile-based phylogenies are inaccurate

2020 ◽  
Author(s):  
Yuanning Li ◽  
Kyle T. David ◽  
Xing-Xing Shen ◽  
Jacob L. Steenwyk ◽  
Kenneth M. Halanych ◽  
...  
Keyword(s):  
Tree Of Life ◽  
Current Standard ◽  
Frequency Profile ◽  
Link Type ◽  
Alignment Free ◽  
Consensus View ◽  
Feature Frequency

AbstractChoi and Kim (PNAS, 117: 3678-3686; first published February 4, 2020; https://doi.org/10.1073/pnas.1915766117) used the alignment-free Feature Frequency Profile (FFP) method to reconstruct a broad sketch of the tree of life based on proteome data from 4,023 taxa. The FFP-based reconstruction reports many relationships that strongly contradict the current consensus view of the tree of life and its accuracy has not been tested. Comparison of FFP with current standard approaches, such as concatenation and coalescence, using simulation analyses shows that FFP performs poorly. We conclude that the phylogeny of the tree of life reconstructed by Choi and Kim is suspect based on methodology as well as prior phylogenetic evidence.

Productive Vocabulary Knowledge of ESL Learners

2018 ◽  
Vol 1 (1) ◽  
pp. 32-41 ◽  
Author(s):  
Abdulmalik Usman ◽  
Dahiru Musa Abdullahi
Keyword(s):  
Teaching And Learning ◽  
English Language ◽  
Vocabulary Knowledge ◽  
Writing Quality ◽  
Lexical Frequency ◽  
Frequency Profile ◽  
Esl Learners ◽  
The Relationship

The paper seeks to investigate the level of productive knowledge of ESL learners, the writing quality and the relationship between the vocabulary knowledge and the writing quality. 150 final year students of English language in a university in Nigeria were randomly selected as respondents. The respondents were asked to write an essay of 300 words within one hour. The essays were typed into Vocab Profiler of Cobb (2002) and analyzed the Lexical Frequency Profile of the respondents. The essays were also assessed by independent examiners using a standard rubric. The findings reveal that the level of productive vocabulary knowledge of the respondents is limited. The writing quality of the majority of the respondent is fair and there is a significant correlation between vocabulary and the witting quality of the subjects. The researchers posit that productive vocabulary is the predictor of writing quality and recommend various techniques through which teaching and learning of vocabulary can be improved.

Research on Shearer Rocker Gearbox Fault Location Based on Wavelet Envelope Demodulation

2014 ◽  
Vol 528 ◽  
pp. 210-216
Author(s):  
Zeng Qiang Wang ◽  
Hong Wei Ma ◽  
Mei Hua Tao ◽  
Xu Hui Zhang ◽  
Qing Hua Mao
Keyword(s):  
Fourier Transform ◽  
Frequency Spectrum ◽  
Spectrum Analysis ◽  
Fault Location ◽  
Vibration Signal ◽  
Morlet Wavelet ◽  
Frequency Spectrum Analysis ◽  
Mechanical Faults ◽  
Faults Diagnosis ◽  
Feature Frequency

To solve the problem of faults location for shearer rocker gearbox, the multiple sites vibration signal of faulty rocker gearbox are collected, as well as the Morlet wavelet envelope demodulation is applied to demodulate vibration signal and Fourier transform is used to carry out frequency spectrum analysis of vibration signal. Experimental results show that this method can effectively extract the faults feature frequency from complex vibration signal. The faults location result is consistent with actual faults part. This mean realizes to locate faults accurately. It provides an effective method for mechanical faults diagnosis of shearer.

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