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With the development of smart grids and emerging measurement technologies, the massive growth of distribution grid data may impact the reliable, economic, and safe operation of the distribution network. For a large-scale distribution network state estimation, the strategy of measuring data for a distribution grid is critical to its economy and reliability. This paper proposed a distribution network state estimation model based on a graph convolutional neural network. The proposed algorithm uses a genetic algorithm to optimize the sensor locations, frequency of sensors in the distribution network and configures of devices to guarantee the proposed state estimation data accuracy. With minimizing costs of investment and operation, the proposed graph convolutional neural network provides super-resolution state estimation data of the distribution network by using low-resolution measurement data. The proposed method is tested and verified by the IEEE33 distribution network system and the testing result demonstrates the feasibility and effectiveness of the proposed model and algorithm.

Fuel assembly bypass flow is the coolant flow through the guide thimble and the instrument. The fuel assembly bypass flow should be limited to ensure that there is sufficient coolant in the core channel to remove the heat released by fuel fission, and the bypass flow should be large enough to avoid the boiling of the coolant in the guide thimble and the instrument tube. The calculation of the fuel assembly bypass flow is also important for the mechanical analysis of SCCA (Stationary Core Component Assembly) hold down system and for the analysis of control rod drop. The PEONY V1.0 code developed based on pressure drop balance between different flow channel was used for calculating the flow distribution and then the hydraulic force for SCCA mechanical design verification. The PEONY V1.0 code is verified by STEP fuel assembly bypass flow test. In order to obtain a more accurate measurement results, pressure drop test result is used for flow rate correction. The verification and validation of PEONY V1.0 shows that the code can provide an reasonably conservative calculation for engineering analysis.

Cirrhotic cardiomyopathy (CCM) is a common complication of liver cirrhosis. Many patients with cirrhotic livers do not die from liver failure but from abnormal hemodynamics secondary to liver cirrhosis. Liver transplantation is one of the most effective treatments for liver diseases. Recent studies have found that liver transplantation can reverse CCM and improve cardiac function; however, its role and remedial mechanism remain unclear. Circular RNAs (circRNAs) have become an important marker for diagnosing diseases. The differential expression of circRNAs is associated with heart diseases. In this study, we used gene sequencing to detect the circRNA expression profile of patients with CCM before and after liver transplantation and predicted the differential circRNA target genes. The results showed that a total of 1495 circRNAs were dysregulated after liver transplantation, 1319 genes were downregulated, and 176 were upregulated (P 0.05, log2 (fold change) 2.0). The qRT-PCR results showed that circ-ASAP1, circ-N4BP2L2, circ-EXOC6B were significantly downregulated (P 0.05), which were consistent with the RNA sequencing data, and circ-ASAP1 had the most significant difference. Bioinformatics analysis suggested that mTOR and MAPK signaling pathways might be involved in the pathogenesis of CCM. By constructing a circRNA-miRNA-mRNA interaction network, hsa-miR-197-3p, hsa-miR-483-3p, and hsa-miR-885-3p, particularly key miRNA (hsa-miR-483-3p), were found to be the major potential genes involved in CCM regulation. In summary, this study suggested that circRNAs play a crucial regulatory role in the occurrence of CCM before and after liver transplantation, and their potential biological function might be the key to diagnosis and treatment.

Successful human reproduction initiates from normal gamete formation, fertilization and early embryonic development. Abnormalities in any of these steps will lead to infertility. Many infertile patients undergo several failures of IVF and intracytoplasmic sperm injection (ICSI) cycles, and embryonic developmental arrest is a common phenotype in cases of recurrent failure of IVF/ICSI attempts. However, the genetic basis for this phenotype is poorly understood. The subcortical maternal complex (SCMC) genes play important roles during embryonic development, and using whole-exome sequencing novel biallelic mutations in the SCMC genes TLE6, PADI6 and KHDC3L were identified in four patients with embryonic developmental arrest. A mutation in TLE6 was found in a patient with cleaved embryos that arrested on day 3 and failed to form blastocysts. Two patients with embryos that arrested at the cleavage stage had mutations in PADI6, and a mutation in KHDC3L was found in a patient with embryos arrested at the morula stage. No mutations were identified in these genes in an additional 80 patients. These findings provide further evidence for the important roles of TLE6, PADI6 and KHDC3L in embryonic development. This work lays the foundation for the genetic diagnosis of patients with recurrent IVF/ICSI failure.

The correlation of permeability and stress is crucial for correctly predicting the coupled process of fluid flow and solid deformation in geophysical systems. Especially in ultra-low-permeability rocks with nanopores, the apparent permeability becomes sensitive to the properties of fluid and solid. This work presents an improved tubes model, where the correlation of permeability and stress is derived with the Klinkenberg effect correction. Both the in-situ stress effect and the Klinkenberg effect have been carefully considered in current correction of permeability prediction based on Darcy's law. The experimental data can be fitted well by the new model, and the Klinkenberg effect of gas flow in the tight porous media is successfully captured. The predictive ability of the current model has been examined as well and the results are acceptable.

Background The purpose of this paper was to evaluate the difference in postoperative outcomes following multidetector computed tomography (MDCT) and transesophageal echocardiography (TEE)‐based annulus sizing for transcatheter aortic valve replacement (TAVR). Methods Electronic search of PubMed, Biomed Central, Scopus, and Google Scholar databases was conducted until August 15, 2019. We included all types of studies comparing MDCT‐based annulus sizing with TEE‐based annulus sizing and assessing paravalvular regurgitation (PVR). Data were summarized using the Mantel‐Haenszel odds ratio (OR) with 95% confidence intervals (CI). Results A total of six studies were included. Pooled analysis of 431 participants in the MDCT group and 509 participants in the TEE group demonstrated that MDCT‐based annulus sizing is associated with a significantly lower incidence of more than moderate PVR as compared to 2DTEE‐based sizing (OR: 0.31, 95% CI: 0.18‐0.54, P

BACKGROUND The aim of this study was to investigate the effect of natural cycle (NC) endometrial preparation for frozen-thawed embryo transfer (FET) in women with advanced endometriosis. MATERIAL AND METHODS This retrospective study included 179 patients with stage III-IV endometriosis who underwent 233 FET cycles at a tertiary care academic reproductive medical center between March 2011 and August 2013 (group A). The control group included 258 patients with tubal factor infertility who underwent 300 FET cycles (group B). Both groups were prepared for FET using a NC protocol. Rates of implantation, clinical pregnancy, live birth, ongoing pregnancy, miscarriage, and pregnancy complication were recorded. RESULTS The implantation rate (A: 36.0%, B: 30.4%, P=0.06), the pregnancy rate (A: 50.2%, B: 45.3%, P=0.263), and the live birth rate (A: 39.91%, B: 39.0%, P=0.428) were similar between the stage III-IV endometriosis and tubal factor infertility groups. No differences were observed in ongoing rates of pregnancy, miscarriage, and pregnancy complications, independent of endometriosis severity. No congenital birth defects were found. When high-quality embryos are transferred, pregnancy results were not affected by active endometriosis. Although severe endometriosis did not affect birth rate, higher frequencies of premature delivery (mean gestational age A: 37 weeks, B: 38.3 weeks, P=0.044) and low birth weight were observed (

For tight porous media, the permeability measured from the Darcy test is only an apparent permeability because the Klinkenberg effect occurs when the Knudsen number is high. To determine the intrinsic permeability, we need a simple and rigorous permeability correction that is valid in the entire flow regime. Thus, introducing a non-Maxwellian slip boundary condition, we develop the bivelocity hydrodynetics in this paper. The bivelocity hydrodynetics is defined by combining bivelocity hydrodynamics with kinetic theories. In the framework of the bivelocity hydrodynetics, we derive a simple and rigorous permeability correction based on the analytical solutions of rarefied gas flows in micro- and nano-tubes. After compared with conventional solutions and experiments, the present solutions are validated in the entire flow regime. Moreover, the validation is also a clear proof for the bivelocity theories.

To predict the gaseous mass flow rate of microchannels, conventional analytical solutions based on the Navier-Stokes equation or volume diffusion hydrodynamics (bivelocity hydrodynamics) associated with first-order or second-order slip boundary condition are not very successful, especially in high-Knudsen-number flow. An analytical solution which agrees with experimental data to a Knudsen number of 50 is presented in this paper. To achieve this goal, a concept of effective volume diffusion is defined. Then, with a general slip boundary condition, the gaseous mass flow rate of microchannel is derived by solving the momentum equation of this effective volume diffusion hydrodynamics. Compared with six other analytical solutions and one group of numerical solutions of the linearized Boltzmann equation, this solution is validated by three groups of experimental data. The results not only illustrate an improvement of this solution compared with other analytical solutions but also show the importance of the effective volume diffusion hydrodynamics for compressible microfluids.