Introduction: Vascular aging is an independent risk factor for cardiovascular diseases, which has always been a research hotspot. This study aims to establish a multiple linear regression (MLR) model using radial arte...
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Introduction: Vascular aging is an independent risk factor for cardiovascular diseases, which has always been a research hotspot. This study aims to establish a multiple linear regression (MLR) model using radial artery pulse wave characteristic parameters to assess vascular aging. Methods: Data from 111 males and 117 females were used to propose a new method for extracting pulse wave characteristic parameters called, Equal Pressure Pulse Transit Time (EP-PTT). Firstly, 10 EP-PTTs were extracted from pulse waves which were used to describe the shape characteristics of the pulse signal. Secondly, 10 EP-PTTs were fed into MLR model, which were used to optimize the model. Lastly, the predicted age of all subjects was calculated by the optimal model. We compared the correlation coefficients of predicted age with Pulse Transit Time (PTT) and Augmentation Index (AIx) with the correlation coefficients of chronological age with PTT and AIx. Results: 9 EP-PTTs were relevant to predicting age in men and all EP-PTTs were age-related in women (P < 0.05). MLR analysis showed that EP-PTT3 and EP-PTT7 were potent predictors of vascular age in men but EP-PTT4 and EP-PTT7 were important predictors in women (P < 0.001). Comparing with the chronological age, the predicted age was closer to PTT (P < 0.001, r = -0.53 to P < 0.001, r = -0.59 in men;P < 0.001, r = -0.57 to P < 0.001, r = -0.65 in women) and AIx (P < 0.001, r = 0.64 to P < 0.001, r = 0.81 in men;P < 0.001, r = 0.51 to P < 0.001, r = 0.56 in women). Conclusions: The predicted age can better reflect vascular aging than chronological age. This proved the validity of the proposed method for assessing vascular aging.
Phrase translation pairs are very useful for bilingual lexicography, machine translation system, crosslingual information retrieval and many applications in natural language processing. Phrase translation pairs are al...
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Phrase translation pairs are very useful for bilingual lexicography, machine translation system, crosslingual information retrieval and many applications in natural language processing. Phrase translation pairs are always extracted from bilingual sentence pairs. In this paper, we extract phrase translation pairs based on word alignment results of Chinese-English bilingual sentence pairs and parsing trees of Chinese sentences, in order to decrease the influence of the grammar disagreement between Chinese and English. Discriminative features for phrase translation pairs are proposed to evaluate extracted ones in this paper, including translation literality, phrase alignment probability and phrase length difference. multiple linear regression model combined with N-best strategy will be employed to filter phrase translation pairs, in order to improve the evaluating and filtering performance. Experimental results indicate that the filtering performance of phrase alignment probability is best in three kinds of discriminative features for evaluating Chinese-English phrase translation pairs. After multiple linear regression model combined with N-best strategy is used, its F1 achieves 86.24%.
Transient sensory, motor or cognitive event elicit not only phase-locked event-related potentials (ERPs) in the ongoing electroencephalogram (EEG), but also induce non-phase-locked modulations of ongoing EEG oscillati...
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Transient sensory, motor or cognitive event elicit not only phase-locked event-related potentials (ERPs) in the ongoing electroencephalogram (EEG), but also induce non-phase-locked modulations of ongoing EEG oscillations. These modulations can be detected when single-trial waveforms are analysed in the time-frequency domain, and consist in stimulus-induced decreases (event-related desynchronization, ERD) or increases (event-related synchronization, ERS) of synchrony in the activity of the underlying neuronal populations. ERD and ERS reflect changes in the parameters that control oscillations in neuronal networks and, depending on the frequency at which they occur, represent neuronal mechanisms involved in cortical activation, inhibition and binding. ERD and ERS are commonly estimated by averaging the time-frequency decomposition of single trials. However, their trial-to-trial variability that can reflect physiologically-important information is lost by across-trial averaging. Here, we aim to (1) develop novel approaches to explore single-trial parameters (including latency, frequency and magnitude) of ERP/ERD/ERS;(2) disclose the relationship between estimated single-trial parameters and other experimental factors (e.g., perceived intensity). We found that (1) stimulus-elicited ERP/ERD/ERS can be correctly separated using principal component analysis (PCA) decomposition with Varimax rotation on the single-trial time-frequency distributions;(2) time-frequency multiple linear regression with dispersion term (TF-MLRd) enhances the signal-tonoise ratio of ERP/ERD/ERS in single trials, and provides an unbiased estimation of their latency, frequency, and magnitude at single-trial level;(3) these estimates can be meaningfully correlated with each other and with other experimental factors at single-trial level (e.g., perceived stimulus intensity and ERP magnitude). The methods described in this article allow exploring fully non-phase-locked stimulus-induced cortical oscilla
Most literature works carrying out capacitor remaining useful life (RUL) prognosis in a three-phase inverter fed Adjustable Speed Drive (ASD) system focus on analyzing the effect of different environmental and operati...
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Most literature works carrying out capacitor remaining useful life (RUL) prognosis in a three-phase inverter fed Adjustable Speed Drive (ASD) system focus on analyzing the effect of different environmental and operating conditions. But it is the effect of inverter design parameters on capacitor RUL that is of greater interest to the inverter topology designers. This paper performs a parametric investigation on the impact of two design parameters primarily impedance (Z) network inductance (L-Z), and shoot through duty ratio (D-sh) on capacitor RUL in a quasi-Z-source inverter (q-ZSI) fed ASD system. To perform this analysis, the online condition monitoring (OCM) of a capacitor placed in the Z network of q-ZSI topology is carried out, and its RUL is predicted for varying values of L-Z and D-sh. The technique/procedure to monitor the operation of the system under study and collect its data for preventive maintenance without interrupting its operation is known as Online Condition Monitoring (OCM). The online method suggested in this paper uses data from the dynamic simulation (DS) model based on non-linear equations of q-ZSI. The use of the DS model increases the accuracy of OCM since it eliminates the use of data collected from sensors that are considered the cause of error in RUL prediction. A dataset of RUL predictions corresponding to multiple combinations of L-Z and D-sh is obtained through sensitivity analysis using Monte Carlo simulations, and the same dataset is used to derive a multiple linear regression (MLR) model for RUL prediction. The sensitivity analysis data provides inferences on how the change in the selected design parameters affect the capacitor RUL in q-ZSI, and MLR model provides mathematical expression correlating L-Z, D-sh and capacitor lifetime, with a 95% confidence level. The significance test statistics of the MLR model prove that L-Z and D-sh are highly significant parameters that impact capacitor RUL in the system under study. (C) 2020 Kara
The multiple linear regression analysis of the RFvalues of chlorinated catechols and guaiacols has been carried out. The resolved terms, in the regression equation have been used to explain the relative mobility of ch...
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The multiple linear regression analysis of the RFvalues of chlorinated catechols and guaiacols has been carried out. The resolved terms, in the regression equation have been used to explain the relative mobility of chlorinated compounds to the reference compound (catechol or guaiacol). The best correlations have been observed for solvent systems which give the greatest standard deviations and relative differences between the RFvalues. A good correlation between the standard deviation of the RFvalues and the term which represents the effect of the chlorine atom ortho to the hydroxyl group(s) have also been observed.
In this paper results of the research of impact of strategy on business results are presented. In the developed mathematical model business result is defined as dependent variable, while eight strategic variables are ...
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ISBN:
(纸本)9783901509582
In this paper results of the research of impact of strategy on business results are presented. In the developed mathematical model business result is defined as dependent variable, while eight strategic variables are defined as independent variables. The research sample consists of organizations from Bosnia and Herzegovina from wood processing industry that was observed as the reference industrial branch for this research.
作者：
Pan, XMAcad Sinica
Inst Biophys Natl Lab Biomacromol Beijing 100101 Peoples R China
In the present work, a novel method was proposed for prediction of secondary structure. Over a database of 396 proteins (CB396) with a three-state-defining secondary structure, this method with jackknife procedure ach...
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In the present work, a novel method was proposed for prediction of secondary structure. Over a database of 396 proteins (CB396) with a three-state-defining secondary structure, this method with jackknife procedure achieved an accuracy of 68.8% and SOV score of 71.4% using single sequence and an accuracy of 73.7% and SOV score of 77.3% using multiple sequence alignments. Combination of this method with DSC, PHD, PREDATOR, and NNSSP gives Q(3) = 76.2% and SOV = 79.8%. (C) 2001 Wiley-Liss, Inc.
The search for the association between complex diseases and single nucleotide polymorphism (SNPs) or haplotypes has recently received great attention. Recent successes in high throughput genotyping technologies drasti...
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ISBN:
(纸本)9781424400324
The search for the association between complex diseases and single nucleotide polymorphism (SNPs) or haplotypes has recently received great attention. Recent successes in high throughput genotyping technologies drastically increase the length of available SNP sequences. This elevates the importance for the use of a small subset of informative SNPs, called index SNPs [2)], accurately representing the rest of the SNPs (i.e.. the rest of the SNPs can be highly predicted from the index SNPs). Index SNP selection achieves the compaction of huge unphased genotype data (obtained, e.g., from Affimetrix Map Array) in order to make feasible fine genotype analysis. In this paper we propose a novel index SNP selection on unphased genotypes based on multiple linear regression (NILR) SNP prediction. We measure the quality of our index SNP selection algorithm by comparing actual SNPs with the SNPs computationally predicted from chosen index SNPs. We obtain an extremely good prediction rates and compression. For example, for region ENm010 (123 SNPs) [9], we can use 2% of SNPs for representing all SNPs with 93.5% accuracy. An experimental study on 4 ENCODE regions from HapMap [9] shows that our method uses significantly fewer index SNPs (e.g., up to two times less index SNPs to reach 90% prediction accuracy) than the state-of-the-art method of Halperin et al. [8] for genotypes.
This study proposes a multiple linear regression architecture based on stream homomorphic encryption computing to analyze ciphertext for massive secure data computing. The proposed architecture contains three subsyste...
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ISBN:
(纸本)9781728193625
This study proposes a multiple linear regression architecture based on stream homomorphic encryption computing to analyze ciphertext for massive secure data computing. The proposed architecture contains three subsystems including terminal subsystem, data access subsystem, and data computing subsystem. The method used behind the presented architecture contains four stages which are data preprocessing stage, data access stage, data computing stage, and result processing stage. In the practical experiments, a case study of traffic information prediction was selected to evaluate the proposed system and method. The predicted traffic information was generated by the proposed method in accordance with the encrypted traffic information. Our experimental results showed that the proposed architecture can effectively and promptly obtain the predicted traffic information.
The sonic and resistivity logs for Sargelu and Naokelekan Formations in well Shaikhan-2 are utilized to predict vitrinite reflectance values. The precise prediction of vitrinite reflectance can be done based on well l...
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