Aiming to reveal the potential relationships between users, link prediction has been considered as a fundamental research issue in signed social networks. The key of the link prediction is to measure the similarity between users. Many existing researches use connections between users and their common neighbors to measure the similarities, and these methods rely too much on the structure of social networks. Most of them use the deep neural network to enhance the prediction accuracy. However, the complete structure of the huge social network cannot be captured easily, and the models learnt by the deep neural network are unexplainable and uncontrolled. As an explainable model, functional network is a recent replacement for standard neural network. Therefore, we revise the traditional strategy of functional network and propose a novel functional network framework. Firstly, the attributes are preprocessed through the cloud model to define their importance before inputting them into the functional network. Then the association algorithm is used to do aggregate computation in computing neurons for defining the connections between neurons well. Finally, we use three-way decisions to process the samples in the boundary to optimize the performance of model. Experiments executed on six real datasets show that our method has significantly higher link prediction precision than the state-of-the-art works. From our discussions, the improved functional network can be a valid replacement for neural networks in some fields.
Described here is the modeling used to improve the mycophenolic acid (MPA) titer from Penicillium brevicompactum using central composite design and a comparatively newer, data-centric approach method k-nearest-neighbor algorithm. The two models for enhancing MPA production using P. brevicompactum were compared with respect to ultrasonic stimulation. During the ultrasonic treatment, we studied different independent factors such as ultrasound power, irradiation duration, treatment frequency and duty cycle to determine their ability to enhance the MPA titer value. The optimized factors such as a treatment time of 10 min (50% duty cycles) with a 12-h interlude at fixed ultrasonic power and frequency (200 W, 40 kHz) were used for ultrasonic treatment of a mycelial culture from the 2nd to 10th day of fermentation. Thus the production of MPA was improved 1.64-fold under the optimized sonication conditions compared with the non-sonicated batch fermentation (non-optimized conditions). 相似文献
YWHAE is a gene encoding 14-3-3epsilon, which is highly conserved across species, from bacteria to humans, and binds to phosphoserine/phosphothreonine motifs in a sequence-specific manner. YWHAE has been reported to be associated with schizophrenia in a study based on the Japanese population. Here, we conducted a genetic association analysis between common SNPs in the YWHAE gene and psychiatric diseases including schizophrenia, major depressive disorder and bipolar disorder in Han Chinese samples (1140 schizophrenia cases, 1140 major depressive disorder cases, 1140 bipolar disorder cases and 1140 normal controls). We studied 11 SNPs, seven of which had previously been reported as significant, in YWHAE. No association was found with schizophrenia, major depressive disorder or bipolar disorder. Considering the size of our sample sets (power?>?90%), our results suggest that the YWHAE does not play a major role in schizophrenia, major depressive disorder or bipolar disorder in the Han Chinese population. 相似文献