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Despite the advances in the treatment of hepatocellular carcinoma (HCC), the prognosis of HCC patients remains unsatisfactory due to postsurgical recurrence and treatment resistance. Therefore, it is important to reveal the mechanisms underlying HCC and identify potential therapeutic targets against HCC, which could facilitate the development of novel therapies. Based on 12 HCC samples and 12 paired paracancerous normal tissues, we identified differentially expressed mRNAs and lncRNAs using the “limma” package in R software. Moreover, we used the weighted gene coexpression network analysis (WGCNA) to analyze the expression data and screened hub genes. Furthermore, we performed pathway enrichment analysis based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. In addition, the relative abundance of a given gene set was estimated by single-sample Gene Set Enrichment Analysis. We identified 687 differentially expressed mRNAs and 260 differentially expressed lncRNAs. A total of 6 modules were revealed by WGCNA, and MT1M and MT1E genes from the red module were identified as hub genes. Moreover, pathway analysis revealed the top 10 enriched KEGG pathways of upregulated or downregulated genes. Additionally, we also found that CD58 might act as an immune checkpoint gene in HCC via PD1/CTLA4 pathways and regulate the levels of tumor-infiltrating immune cells in HCC tissues, which might be an immunotherapeutic target in HCC. Our research identified key functional modules and immunomodulatory regulators for HCC, which might offer novel diagnostic biomarkers and/or therapeutic targets for cancer immunotherapy.

Aiming at the problem that it is difficult to extract the characteristics of the draft tube pressure fluctuation signal under the background of strong noise, this study proposes a dual noise reduction method based on adaptive local iterative filtering (ALIF) and singular value decomposition (SVD). First, perform ALIF decomposition of the signal to be decomposed to obtain a series of IMF components, calculate the sample entropy of each component, select some IMF components to reconstruct according to the set sample entropy threshold, and then perform SVD decomposition on the reconstructed signal, and according to the location of the singular value difference spectrum mutation point, the appropriate number of reconstructions is selected for reconstruction, so as to achieve the double noise reduction effect. The ALIF-SVD dual noise reduction method proposed in this study is compared with the single ALIF, EMD, and EMD-SVD dual noise reduction method through simulation, and the correlation coefficient, signal-to-noise ratio, and mean square error are used to evaluate the noise reduction. It is found that the ALIF-SVD dual noise reduction method avoids the phenomenon of modal aliasing in the decomposition process, effectively removes the noise, and can retain the useful information of the original signal, and the noise reduction effect is better. A unit of a hydropower station in China is further selected as the research object, and its draft tube pressure fluctuation data were analyzed for noise reduction. It was found that this method can accurately extract the signal characteristics under strong noise background, so as to determine the type of pressure fluctuation of the unit, which is helpful to improve the fault recognition rate of hydraulic turbines. And it provides some technical support for the safe and stable operation of hydropower units and the promotion of condition-based maintenance strategy and improves the intelligent level of hydropower station operation management.

In order to effectively extract the characteristics of nonstationary vibration signals from hydropower units under noise interference, an adaptive stochastic resonance and Fourier decomposition method (FDM) based on genetic algorithm (GA) are proposed in this paper. Firstly, GA is used to optimize the resonance parameters so that the signal can reach the optimal resonance and the signal-to-noise ratio (SNR) can be improved. Secondly, FDM is used to process the signal and the appropriate frequency band function is selected for reconstruction. Finally, Hilbert envelope demodulation analysis was performed on the reconstructed signal to obtain the fault characteristics from the envelope spectrum. In order to prove the effectiveness and superiority of the proposed method, comparative experiments are designed by using the simulated signal and the measured swing signal of a hydropower unit. The results show that this method can effectively remove the noise interference and improve the SNR and extract the characteristic frequency of the signal, which has the extensive engineering application value to the fault diagnosis of hydropower units.

Metal-free layered black phosphorus (BP) nanosheets with an excellent photothermal effect and large surface areas have been widely applied in biomedicine but are easily oxidized in ambient conditions yielding insulating phosphorus oxides adsorbed on its surface. Several chemical-functionalized strategies have been explored to protect thin layers of BP; however, the performance of passivated BP often decreases significantly, falling behind the single BP due to the strong structure perturbation. Herein, we designed and constructed 0D/2D hybrid photothermal agents by assembling NIR-II-responsive carbon dots (NIR-II-CDs) on BP nanosheets. NIR-II-CDs improve the ambient stability of BP by isolating them from water and oxygen and enhance the photothermal properties of BP nanosheets. Such NIR-II-CD/BP hybrids strengthen the light-harvesting ability, achieving high photothermal conversion efficiencies in the NIR-I (77.3%) and NIR-II (61.4%) windows, which is significantly higher than that of pristine BP (49.5 and 28.4% at 808 and 1064 nm). Owing to the intrinsic advantage of 1064 nm laser and the excellent PTT effect of our NIR-II-CD/BP hybrids, complete tumor eradication was realized in a deep-tissue tumor model.

The goat genome is the research basis for the protection and utilization of goat resources, which is important for breeding and improving goat breeds. At present, with the continuous improvement of goat reference genome, various important research progress in goat origin, evolution and adaptability has been achieved. In this review, we summarize the research progress in the goat genome in detail, encompassing goat genome structure, genome map (genetic, physical and comparative maps), goat high throughput sequencing and SNP chip development. We aim to provide a theoretical foundation for the development of goat genome selection.

The semen quality is a basic and the most important indicator of male reproductive health. Mammalian spermatozoa undergo a series of complex structural and functional changes in the epididymis to mature and achieve fertilization capacity. Sperm cell maturation is mediated by a complex physiological process, which is synergistically regulated by a large number of transcription factors, hormones and other signaling molecules. In recent years, there is increasing evidence supporting the notion that functional proteins and sRNA (small RNAs) in epididymosomes participate in sperm maturation and fertilization process. In this review, we summarize the biological roles of functional proteins and two major sRNAs (tRNAs and miRNAs) in sperm maturation in epididymosomes, and provide some theoretical guidance and new ideas for treatments of low fertility, infertility and other reproductive diseases in men.

This research points out the negative effects given by malware attacks first, then put forward that the botnet is the major threaten to the network security especially the new hybrid P2P based botnet. The research mainly focuses on introducing the mechanism of this new type botnet and proposes the defense method in order to construct a safe network platform.

The pigeon (Columba livia) is one of the few birds capable of secreting nutrients to nourish squabs. During the incubation period, the crop of the parent pigeon will be thickened. When squabs are hatched, the crop milk will be secreted from the crop and fed to squabs. The nutritional benefits are similar between the pigeon crop milk and mammalian milk, and both of them are regulated by prolactin. Prolactin stimulates the proliferation of crop epithelial cells, which eventually slough to form the crop milk. Evidence suggests that the complex process may be associated with the transcription of the AnxIcp35 gene and the activation of JAK/STAT and Wnt signal pathways. In this review, we summarize the main components and the biological function of the crop milk, the histological changes of the crop and the regulatory mechanism of crop milk secretion.

This paper discusses a diagnostic model based on the fuzzy relation equations in the diagnosis model, adding a time parameter, given the consistency between the fault symptom set and a set of observed signs of relevance, coverage, and equal quantitative indicators, these quantitative indicators can guarantee that the omission of a potential fault is neither in the case of incomplete knowledge, but also to get the best known symptom set matching solution. At the same time, diagnose problems in the knowledge of the adequacy and completeness of their relationships.

Mobile Ad Hoc Network (MANET) because of its flexible, networking fast, strong anti-destroying ability and other characteristics, is widely used in military, disaster relief, interim meetings and other scenes[1]. Simulation is the primary means of mobile Ad Hoc network research and evaluation of performance, while mobility model is an important component of the performance simulation of Ad Hoc networks. The authenticity of device nodes’ movement in the manner, directly affects the network to evaluate the effectiveness and reliability of the simulation. This paper selects Gibbs group mobility model, and simulate the characteristics of the nodes’ mobility in contingency-responding scene.