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Aim: Sjögren syndrome (SS) is a slowly progressive, inflammatory, autoimmune disease. The aim of this study was to construct the DNA methylation profiles of whole blood of SS patients and healthy controls (HC), and to explore the role of differentially methylated genes in the pathogenesis of the disease. Methods: Whole‐genome bisulfite sequencing was performed on three SS patients and four HC. The biological function of genes associated with differentially methylated regions (DMRs) was investigated using Gene Ontology functional analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis, using network‐based key driver analysis (KDA) to find KDA genes. In clinical samples of SS patients and controls, the expression levels of KDA genes were validated by quantitative real‐time polymerase chain reaction and immunohistochemical analysis. Moreover, the diagnostic value of KDA genes for SS was confirmed using receiver operating characteristic curves. Results: We identified 322 DMRs, annotated as 162 associated genes. Six genes were selected via the number of networks of KDA genes. Differential expression of genes such as human leukocyte antigen (HLA) class I, ADAR, and OAS2 was observed in patients' peripheral blood mononuclear cells and the minor salivary glands, which can be used as potential diagnostic biomarkers for SS. Conclusion: Clinical sample validation suggested that HLA class I, ADAR, and OAS2 might play a role in the development of SS. Our study shows epigenetic regulatory mechanisms and potential disease markers associated with SS, which in turn will enable us to identify new therapeutic targets. [ABSTRACT FROM AUTHOR]

FeS-Cu copper-based self-lubricating bearing materials are prepared by mechanical alloying and powder metallurgy. The effects of ball milling time on the microstructure and properties of the material are analyzed. The dry friction properties of the material are tested on a pin–disc contact reciprocating test machine with the load of 200·N. The morphology and composition of the wear surface are observed and analyzed using scanning electron microscopy (SEM), energy-dispersive spectroscopy (EDS), and X-ray photoelectron spectroscopy (XPS). The test results show that the copper-based material containing FeS exhibits better antifriction and antiwear properties, and the friction coefficient of the friction pair is lower and more stable. Mechanical alloying can promote the uniform distribution of solid lubricant FeS, increase the bonding quality of FeS and the matrix, and enhance the formation and stability of the lubricating transfer film, as well as further improve the antifriction and anti-adhesion properties of the material. Furthermore, as the ball milling time increases, the friction coefficient of the material decreases gradually, and the amount of wear changes regularly. [ABSTRACT FROM AUTHOR]

Using Neumann series of inverse matrix, the discrete time algebraic Riccati matrix equation(DTARME)with unknown matrix inversion, which occurs in connection with the linear quadratic optimization problem, can be transformed into a high-order polynomial matrix equation. Then Newton's method can be applied to find the symmetric solution to the high-order polynomial matrix equation. And from here, the modified conjugate gradient method can be used to find the symmetric solution or the symmetric least-square solution to the linear matrix equation derived from each iterative step of Newton's method. In this way, a double iterative algorithm is established to find the symmetric solution to DTARME. Having symmetric solution is the only requisite for DTARME based on the double iterative algorithm, and the solution may not necessarily be unique. Besides, there are no additional limits to the coefficient matrix of DTARME. Numerical experiments show that the double iterative algorithm is effective. [ABSTRACT FROM AUTHOR]

Highlights: [•] Dopamine induces a hyperpolarization on SubCD neurons and inhibited their firing. [•] Dopamine dose dependently elicits a TTX-resistant outward current on SubCD neurons. [•] Dopamine inhibits SubCD neurons via α2-adrenergic but not its endogenous receptors. [ABSTRACT FROM AUTHOR]

Based on the method of the modified conjugate gradient to the linear matrix equation over constrained least square solution, an iterative algorithm is presented to find the generalized reflexive least square solution of the linear matrix equation which is a special type with two matrix variables. The convergence of the iterative method is proved. By this method, an generalized reflexive least square solution of the matrix equation can be obtained within finite iterative steps. And the generalized reflexive least square solution with least-norm can be got by choosing special initial matrices. Besides, the optimal approximation to any given matrix can be obtained in the set of the generalized reflexive least square solution. The numerical examples show that the iterative algorithm is quite efficient. [ABSTRACT FROM AUTHOR]

Based on the modified conjugate gradient method to find the different constrained solution of a mu].tivariables linear matrix equation, an iterative method is constructed to find the different constrained least square solution by constructing the equivalent linear matrix equations. Positive definiteness, reversibility and full column rank of the coefficient matrix of the equivalent linear matrix are not required for the iteration algorithm. So the iterative method is always feasibility. By this iterative method, the different constrained least square solutions can be obtained within finite iterative steps in the absence of round off errors, and the different constrained least square solution with least-norm can be got by choosing special initial matrix. In addition, the optimal approximation matrix to any given matrix can be obtained in the set of the different constrained least square solutions. The numerical examples show that the iterative method is efficient. [ABSTRACT FROM AUTHOR]

The concurrent and collaborative design of the complicated product based on generalized dynamic constraints network (GDCN) was presented, and the mathematical model of the GDCN was also presented. Then, the modeling method of GDCN was analyzed, and the effective modeling method of the domain constraints based on simulation and Meta modeling was presented. Finally, the crank and connecting rod design of one V6 engine as an example was given to show the validity of the modeling method of the GDCN supporting the concurrent and collaborative design of complicated products. [ABSTRACT FROM AUTHOR]

The mitochondrial permeability transition pore is a nonspecific transmembrane channel. Inhibition of mitochondrial permeability transition pore opening has been shown to alleviate mitochondrial swelling, calcium overload, and axonal degeneration. Cyclophilin D is an important component of the mitochondrial permeability transition pore. Whether cyclophilin D participates in mitochondrial impairment and axonal injury after intracerebral hemorrhage is not clear. In this study, we established mouse models of intracerebral hemorrhage in vivo by injection of autologous blood and oxyhemoglobin into the striatum in Thy1-YFP mice, in which pyramidal neurons and axons express yellow fluorescent protein. We also simulated intracerebral hemorrhage in vitro in PC12 cells using oxyhemoglobin. We found that axonal degeneration in the early stage of intracerebral hemorrhage depended on mitochondrial swelling induced by cyclophilin D activation and mitochondrial permeability transition pore opening. We further investigated the mechanism underlying the role of cyclophilin D in mouse models and PC12 cell models of intracerebral hemorrhage. We found that both cyclosporin A inhibition and short hairpin RNA interference of cyclophilin D reduced mitochondrial permeability transition pore opening and mitochondrial injury. In addition, inhibition of cyclophilin D and mitochondrial permeability transition pore opening protected corticospinal tract integrity and alleviated motor dysfunction caused by intracerebral hemorrhage. Our findings suggest that cyclophilin D is used as a key mediator of axonal degeneration after intracerebral hemorrhage; inhibition of cyclophilin D expression can protect mitochondrial structure and function and further alleviate corticospinal tract injury and motor dysfunction after intracerebral hemorrhage. Our findings provide a therapeutic target for preventing axonal degeneration of white matter injury and subsequent functional impairment in central nervous diseases., Competing Interests: None

Rapid source identification of mine water inrush is of great significance for early warning and prevention in mine water hazard. According to the problem that traditional chemical methods to identify source takes a long time, put forward a method for rapid source identification of mine water inrush with laser induced fluorescence (LIF) technology and soft independent modeling of class analogy (SIMCA) algorithm. Laser induced fluorescence technology has the characteristics of fast analysis, high sensitivity and so on. With the laser assisted, fluorescence spectrums can be collected real-time by the fluorescence spectrometer. According to the fluorescence spectrums, the type of water samples can be identified. If the database is completed, it takes a few seconds for coal mine water source identification, so it is of great significance for early warning and post-disaster relief in coal mine water disaster. The experiment uses 405 nm laser emission laser into the 5 kinds of water inrush samples and get 100 groups of fluorescence spectrum, and then put all fluorescence spectrums into preprocessing. Use 15 group spectrums of each water inrush samples, a total of 75 group spectrums, as the prediction set, the rest of 25 groups spectrums as the test set. Using principal component analysis (PCA) to modeling the 5 kinds of water samples respectively, and then classify the water samples with SIMCA on the basis of the PCA model. It was found that the fluorescence spectrum are obvious different of different water inrush samples. The fluorescence spectrums after preprocessing of Gaussian-Filter, under the condition of the principal component number is 2 and the significant level α = 5%, the accuracy of prediction set and testing set are all 100% with the SIMCA to classify the water inrush samples.