Anhui Normal University

About: Anhui Normal University is a education organization based out in Wuhu, China. It is known for research contribution in the topics: Catalysis & Population. The organization has 7955 authors who have published 7309 publications receiving 117443 citations.

Coupling a Fast Fourier Transformation With a Machine Learning Ensemble Model to Support Recommendations for Heart Disease Patients in a Telehealth Environment

Abstract: Recently, the use of intelligent technologies in clinical decision making in the telehealth environment has begun to play a vital role in improving the quality of patients’ lives and helping reduce the costs and workload involved in their daily healthcare In this paper, an effective medical recommendation system that uses a fast Fourier transformation-coupled machine learning ensemble model is proposed for short-term disease risk prediction to provide chronic heart disease patients with appropriate recommendations about the need to take a medical test or not on the coming day based on analysing their medical data The input sequence of sliding windows based on the patient’s time series data are decomposed by using the fast Fourier transformation in order to extract the frequency information A bagging-based ensemble model is utilized to predict the patient’s condition one day in advance for producing the final recommendation A combination of three classifiers–artificial neural network, least squares-support vector machine, and naive bayes–are used to construct an ensemble framework A real-life time series telehealth data collected from chronic heart disease patients are utilized for experimental evaluation The experimental results show that the proposed system yields a very good recommendation accuracy and offers an effective way to reduce the risk of incorrect recommendations as well as reduce the workload for heart disease patients in conducting body tests every day The results conclusively ascertain that the proposed system is a promising tool for analyzing time series medical data and providing accurate and reliable recommendations to patients suffering from chronic heart diseases

MEX3C interacts with adaptor-related protein complex 2 and involves in miR-451a exosomal sorting.

Abstract: Some RNA species, especially microRNAs, are non-randomly sorted into exosomes, but how selectivity of RNA exosomal sorting is achieved is unknown. We found that all three variants of RNA-binding ubiquitin E3 ligase (MEX3C)–MEX3C-1, MEX3C-2, and MEX3C-3 –interact with adaptor-related protein complex 2 (AP-2), a cargo adaptor in clathrin-mediated endocytosis. MEX3C’s C-terminal RING finger domain and the hnRNP K homology (KH) domain shared by the three MEX3C variants are both necessary for MEX3C/AP-2 interaction. MEX3C associates with the endolysosomal compartment through an endocytosis-like process. siRNA-mediated inhibition of the MEX3C or AP-2 complex substantially decreased exosomal but not cellular microRNA miR-451a expression. Exosomal sorting is ceramide-dependent but not ESCRT-dependent in microRNA miR-451a. That RNA-binding protein associates with membrane trafficking machinery, and that its involvement in exosomal microRNA expression, suggest the existence of a mechanism for specific recruiting of RNA molecules to endosomes for subsequent exosomal sorting.

AGN-host connection at 0.5 < z < 2.5 : a rapid evolution of AGN fraction in red galaxies during the last 10 Gyr.

Abstract: We explore the dependence of the incidence of moderate-luminosity (L 0.5−8 keV = 1041.9−43.7 erg s-1 ) active galactic nuclei (AGNs) and the distribution of their accretion rates on host color at 0.5 ∗ > 1010 M ⊙ . We use extinction-corrected rest-frame U −V colors to divide both AGN hosts and non-AGN galaxies into red sequence (red), green valley (green), and blue cloud (blue) populations. We find that the fraction of galaxies hosting an AGN at fixed X-ray luminosity increases with stellar mass and redshift for all the three galaxy populations, independent of their colors. However, both the AGN fraction at fixed stellar mass and its evolution with redshift are clearly dependent on host colors. Most notably, red galaxies have the lowest AGN fraction (~5%) at z ~ 1 yet with most rapid evolution with redshift, increasing by a factor of ~5 (24%) at z ~ 2. Green galaxies exhibit the highest AGN fraction across all redshifts, which is most pronounced at z ~ 2 with more than half of them hosting an AGN at M ∗ > 1010.6 M ⊙ . Together with the high AGN fraction in red galaxies at z ~ 2, this indicates that (X-ray) AGNs could be important in both transforming (quenching) star-forming galaxies into quiescent ones and subsequently maintaining their quiescence at high redshift. Furthermore, consistent with previous studies at lower redshifts, we show that the probability of hosting an AGN for the total galaxy population can be characterized by a universal Eddington ratio (as approximated by L X /M ∗ ) distribution (p (λ Edd ) ~ λ Edd -0.4 ), which is independent on host mass. Yet consistent with their different AGN fractions, galaxies with different colors appear to also have different p (λ Edd ) with red galaxies exhibiting more rapid redshift evolution compared with that for green and blue galaxies. Evidence for a steeper power-law distribution of p (λ Edd ) in red galaxies (p (λ Edd ) ~ λ Edd -0.6 ) is also presented, though larger samples are needed to confirm. These results suggest that the AGN accretion or the growth of supermassive black holes is related to their host properties, and may also influence their hosts in a different mode dependent on the host color.

A facile template-free route for synthesis of hollow hexagonal ZnS nano- and submicro-spheres

Abstract: In the current paper, we report a facile template-free route for 'mass production' of ZnS hollow spheres with nano- and submicro-sizes, employing thiocarbamide, (CH3COO)2Zn2H2O and water as the raw materials. ZnS hollow spheres were obtained via hydrothermal reaction at 140 °C for 5 h. XRD analysis showed that the as-prepared ZnS hollow spheres were of hexagonal phase structure. To the best of our knowledge, there were few reports on the preparation of hexagonal ZnS crystals under low temperature (<300 °C) in the literature. Furthermore, there is no report on the hollow structure of hexagonal phase ZnS under such low temperature (140 °C). Experimental results showed that the amount of thiocarbamide in the reaction system had a great impact on the size, shape, and structure of the final product. On the basis of the experimental results and our previous work, a possible formation mechanism was suggested.