Search

Odor perception is an important part of intelligent perception. Odor is usually composed of a variety of different odor substances, and its olfactory perception labels are rich and diverse, and the odor characterization is complex. The large spatial dimension of odor labels causes difficulties and challenges in odor prediction. Exploring the inherent relationship is very important for processing the odor labels. Aiming at the problem of large dimension in label space and information redundancy, this paper proposes an odor label compressing method based on the extraction of odor molecule descriptors by random forest. The experimental verification of 32 high-dimensional odor labels proposed by Lin shows that this method can utilize molecular descriptors’ correlation to achieve the compression of the original scent label space.

Financial markets are vital to the capitalist economies and often volatile and hard to predict. This work compares the performance of different time–series models in predicting close price movement for 30 listed stocks from the Dow Johns Industrial Average (DIJA). The mechanisms of autoregressive moving average (ARIMA), artificial neural network (ANN), recurrent neural network (RNN), and long short–term memory (LSTM) are briefly explained in the essay. Comparison results suggest that LSTM and sequence to sequence (Seq2Seq) model with attention estimates fit the price movement pattern well with relatively low latency. Built upon LSTM, Seq2Seq models exhibit good performance in forecasting. The vanilla Seq2Seq model is compared with Seq2Seq with attention in forecasting price several days in the future. Seq2Seq with attention outperforms other models and is capable of generating sequential predictions.

Background Renal cell carcinoma (RCC) is a common tumor of the urinary system. Nowadays, Immunotherapy is a hot topic in the treatment of solid tumors, especially for those tumors with pre-activated immune state. Methods In this study, we downloaded genomic and clinical data of RCC samples from The Cancer Genome Atlas (TCGA) database. Four immune-related genetic signatures were used to predict the prognosis of RCC by Cox regression analysis. We selected the most relevant genes from each signature to construct a prognostic risk model to predict prognosis via Kaplan-Meier (KM) survival analysis. And subgroups of the TCGA samples and external data from International Cancer Genome Consortium (ICGC) database were used to verify predictive stability of the model. We performed landscape analysis to assess the difference of gene mutant based on the data from TCGA. Finally, we explored the correlation between the selected genes and the level of tumor immune infiltration via Tumor Immune Estimation Resource (TIMER) platform. Results We found that the four prognostic risk models constructed by the signatures all could divide the RCC samples into high- and low-risk groups with significantly different prognosis, especially in advanced RCC. And the prognostic risk model was constructed by 8 candidate genes (HLA-B, HLA-A, HLA-DRA, IDO1, TAGAP, CIITA, PRF1 and CD8B) which divided the advanced RCC samples from TCGA database into high-risk and low-risk groups. And there was a significant difference in overall survival (OS) between the two groups. The validity of the model was verified by independent data from ICGC database. And the classification efficiency of the model was stable for the samples from different subgroups. landscape analysis showed that mutation ratios of some genes were different between two risk groups. In addition, the expression levels of the selected genes were significantly correlated with the infiltration degree of immune cells in the advanced RCC. Conclusions Sum up, eight immune-related genes were screened in our study to construct prognostic risk model with great predictive value for the prognosis of advanced RCC, and the genes were associated with infiltrating immune cells in tumors which have potential to conduct personalized treatment for advanced RCC.

Purpose Alpha-adrenergic receptor blockers can be effectively used in the context of medical expulsion therapy (MET) to treat ureteric stones. This study was designed to evaluate the safety and efficacy of doxazosin in MET relative to placebo or tamsulosin. Methods We systematically searched the PubMed, the Cochrane Library, EMBASE, Chinese Academic Database, and Web of Science databases to select randomized controlled trials (RCT) that compared the use of doxazosin with placebo or tamsulosin to treat ureteric stones. All patients we included were limited to those diagnosed with visible stones in the distal ureter. The diameter of ureteric stones does not exceed 10 mm. Results Eight trials comparing doxazosin with placebo or tamsulosin containing 667 patients were assessed in the final analysis. The meta-analysis showed that doxazosin effectively treated ureteric stones and was better than placebo in terms of efficacy. Relative to the placebo group, the expulsion rate of stones from the distal ureter (OR = 3.00, 95% CI [2.15, 4.19], I2 = 0%, P < 0.00001) was significantly increased, and the expulsion time (days) was shortened (mean difference) (MD) = −4.03, 95% CI [−4.53, −3.53], P < 0.00001). The doxazosin group experienced fewer pain episodes (MD = −0.78, CI = [−0.94, −0.23], I2 = 0%, P < 0.00001) than the placebo group. A subgroup analysis showed that the doxazosin group had a higher expulsion rate (of 5–10 mm stones) compared with the placebo group. Although doxazosin resulted in significantly more adverse effects compared with the placebo, the patient’s symptoms were mild and no further medical interventions were required. Moreover, the expulsion time (days) was shorter for patients receiving doxazosin (MD = −0.61, 95% CI [−0.97, −0.24], I2 = 39%, P = 0.001) than those receiving tamsulosin. Conclusion Compared with the placebo group, patients receiving doxazosin had a greater expulsion rate, a reduced expulsion time, and fewer pain episodes. The expulsion time of doxazosin was shorter than that of tamsulosin.

Background: Renal cell carcinoma (RCC) accounts for 2% to 3% of all human malignancies and is the 9th most common malignancy in Western countries. Due to the development of surgical procedures and the use of novel drugs, survival has been significantly prolonged. However, current challenges include how to diagnose RCC earlier and how to overcome drug resistance. Methods: We explored the relationship between the transcription level of IFI16 and clinical data in RCC through various online databases, including ONCOMINE, GEPIA, HPA, Timer and COEXPEDIA. Results: In comparison with corresponding normal tissues, IFI16 mRNA expression levels were higher in kidney renal clear cell carcinoma (KIRC) and kidney renal papillary cell carcinoma (KIRP) tissues. In KIRC, the higher expression of IFI16 was associated with lower overall survival (P = .037). In KIRP, the higher expression IFI16 was associated with lower disease-free survival and overall survival (P = .037 and P = .011). In contrast, the IFI16 expression was negatively correlated with tumor purity in kidney chromophobe, KIRC and KIRP (all P

In Gas-Insulated Substation (GIS), the Transient Enclosure Voltage (TEV) would threaten the reliability of secondary devices. Studying the propagation law of TEV can provide reference for suppression method of TEV. In this paper, field measurement and theoretical simulation were taken to study the TEV of a 330kV GIS. At first, the TEV caused by operation of disconnecting switch was measured and analyzed. Then, this paper built a simulating model based on electrical main connection to obtain the TEV under the maximum residual voltage. Finally, a method was proposed to reduce the TEV. The simulation results showed that reducing the grounding inductance can reduce the TEV effectively. The study shows that: (1) The maximum voltage of TEV can reach to 4.9kV, the transient time is among 100ms to 160ms, and the main frequency ranged from 11MHz to 35MHz. the maximum value of TEV does not always appear at the enclosure under out-line bushing in an operation, which is related to the TEV propagation path. (2) The TEV generated by the disconnecting switch near out-line bushing is much more serious than the TEV generated near the bus. The TEV generated during opening operation is more serious than the TEV generated during closing. (3) Reducing the equivalent inductance of grounding can reduce the value of TEV. When the equivalent inductance decrease 40%, the maximum voltage can be reduced by 21%. So reducing the equivalent inductance may be a possible effective way to reduce the value of TEV.

In air-insulated substations, the electromagnetic interference due to the disconnecting switch action is very strong, the most serious of which is the operation of the no-load bus. Electronic instrument transformers are widely used in existing substations, electromagnetic interference will affect its normal operation, and cause the protection device to malfunction. The operation shows that the failure rate of the electronic instrument transformer is very high, which indicates that there are deficiencies in the electromagnetic compatibility monitoring and evaluation prescribed by the existing national standards, and therefore it is necessary to improve. It is difficult to establish a test platform for disconnecting switch operation in actual operation. Therefore, this paper proposes a simulated interference source system of the disconnecting switch, which is exactly in line with the electromagnetic environment produced by the actual disconnecting switch and has various advantages. It is to test the electronic mutual inductance. The electromagnetic compatibility of the device lays the foundation for the research on the standardized test method for the immunity of the electronic instrument transformer.

In this paper, we study a wireless-powered two-way relay system, in which both wireless-powered sources exchange information through a multi-antenna relay. Both sources are assumed to have no embedded energy supply and thus first need to harvest energy from the radio frequency signals broadcasted by the relay before exchanging their information via the relay. We aim to maximize the sum throughput of both sources by jointly optimizing the time switching duration, the energy beamforming vector and the precoding matrix at the relay. The formulated problem is non-convex and hard to solve in its original form. Motivated by this, we simplify the problem by reducing the number of variables and by decomposing the precoding matrix into a transmit vector and a receive vector. We then propose bisection search, 1-D search and iterative algorithms to optimize each variable. Numerical results show that our proposed scheme can achieve higher throughput than the conventional scheme without optimization on beamforming vector and precoding matrix at the relay.

We discuss a temporal text mining task on finding evolutionary patterns of topics from a collection of article revisions. To reveal the evolution of topics, we propose a novel method for finding key phrases that are bursty and significant in terms of revision histories. Then we show a time series clustering method to group phrases that have similar burst histories, where additions and deletions are separately considered, and time series is abstracted by burst detection. In clustering, we use dynamic time warping to measure the distance between time sequences of phrase frequencies. Experimental results show that our method clusters phrases into groups that actually share similar bursts which can be explained by real-world events.

The recent advance in radio frequency (RF) energy transfer has enabled wireless-powered communication (WPC), where wireless devices are powered by dedicated wireless energy transmitters. In this paper, we study a WPC scenario consisting of one access point (AP) and one user. The user is assumed to have no embedded energy supply and need to harvest energy from RF signals broadcast by the AP. Different from the exiting works that focused on the design of WPC with one-way information flow, we deal with a general scenario that the AP and user need to exchange information with each other. Considering that the AP and user can work in either half-duplex or full-duplex mode as well as two practical receiver architectures at the user side, we propose five elementary communication protocols for the considered system. Moreover, we define the concept of throughput region to characterize the tradeoff between the uplink and downlink throughput in all proposed protocols. Numerical simulations are finally performed to compare the throughput regions of the proposed five elementary protocols.