R-Wave Dispersion Analysis in Transversely Isotropic Stratum

With dynamic stiffness of elastic half-space, the Rayleigh wave dispersion in transversely isotropic soil is analyzed by Finite-layer and Semi-infinite layer method. Only is matrix eigenvalue involved, avoiding the calculation procedure encountered in analytical method. Two examples prove the deduction correctly and show that soil anisotropy influences dispersion dramatically. It is possible to study soil anisotropy and characteristics of its dynamical responses from its surface wave dispersion

Dual-frequency output of wireless power transfer system with single inverter using improved differential evolution algorithm

In wireless charging devices, a transmitter that applies a single inverter to output dual-frequency can effectively solve the charging incompatibility problem caused by different wireless charging standards and reduce the equipment volume. However, it is very difficult to solve the switching angle of the modulated dual-frequency waveform, which involves non-linear high-dimensional multi-objective optimization with multiple constraints. In this paper, an improved differential evolution (DE) algorithm is proposed to solve the transcendental equations of switching angle trains of dual-frequency programmed harmonic modulation (PHM) waveform. The proposed algorithm maintains diversity while preserving the elites and improves the convergence speed of the solution. The advantage of the proposed algorithm was verified by comparing with non-dominated sorting genetic algorithm II (NSGA II) and multi-objective particle swarm optimization (MOPSO). The simulation and experimental results validate that the proposed method can output dual-frequency with a single inverter for wireless power transfer (WPT).Web of Science139art. no. 220

Photochemical Formation of Copper(I) from Copper(II)-Dicarboxylate Complexes: Effects of Outer-Sphere versus Inner-Sphere Coordination and of Quenching by Malonate

Copper(I) quantum yields are reported for Cu(II) complexes of aliphatic dicarboxylates in aqueous solution (N_2-purged), based on steady-state illuminations. For Cu(dicarboxylate)^0, the Cu(I) quantum yields at 313 nm (Φ_(Cu(I),CuL)) exhibit the following trend (25 °C, ionic strength = 0.10 M):  malonate (0.15 ± 0.07) > succinate (0.10 ± 0.02) (Sun, L.; Wu, C.-H.; Faust, B. C. J. Phys. Chem. A 1998, 102, 8664−8672) > glutarate (0.054 ± 0.005) > adipate (0.042 ± 0.004) ≈ pimelate (0.046 ± 0.009). The systematic decrease in Cu(I) quantum yield observed for these Cu(dicarboxylate)^0 complexes parallels the increasing degree of outer-sphere coordination of the complexes. Free uncomplexed malonate species quench the photoformation of Cu(I) from Cu(malonate)^0 in a way that cannot be explained solely based on the Cu(II) speciation. An interpretation based on the quenching of the intermediate [Cu(CH_2C(O)O-)^0] by H(malonate)-/H_2(malonate)^0 is proposed. Evidence is presented for Cu(I) photoformation from Cu(malonate)^0

Dissecting the biological relationship between TCGA miRNA and mRNA sequencing data using MMiRNA-Viewer

Abstract Background MicroRNAs (miRNA) are short nucleotides that interact with their target genes through 3′ untranslated regions (UTRs). The Cancer Genome Atlas (TCGA) harbors an increasing amount of cancer genome data for both tumor and normal samples. However, there are few visualization tools focusing on concurrently displaying important relationships and attributes between miRNAs and mRNAs of both cancer tumor and normal samples. Moreover, a deep investigation of miRNA-mRNA target and biological relationships across multiple cancer types by integrating web-based analysis has not been thoroughly conducted. Results We developed an interactive visualization tool called MMiRNA-Viewer that can concurrently present the co-relationships of expression between miRNA-mRNA pairs of both tumor and normal samples into a single graph. The input file of MMiRNA-Viewer contains the expression information including fold changes between normal and tumor samples for mRNAs and miRNAs, the correlation between mRNA and miRNA, and the predicted target relationship by a number of databases. Users can also load their own input data into MMiRNA-Viewer and visualize and compare detailed information about cancer-related gene expression changes, and also changes in the expression of transcription-regulating miRNAs. To validate the MMiRNA-Viewer, eight types of TCGA cancer datasets with both normal and control samples were selected in this study and three filter steps were applied subsequently. We performed Gene Ontology (GO) analysis for genes available in final selected 238 pairs and also for genes in the top 5 % (95 percentile) for each of eight cancer types to report a significant number of genes involved in various biological functions and pathways. We also calculated various centrality measurement matrices for the largest connected component(s) in each of eight cancers and reported top genes and miRNAs with high centrality measurements. Conclusions With its user-friendly interface, dynamic visualization and advanced queries, we also believe MMiRNA-Viewer offers an intuitive approach for visualizing and elucidating co-relationships between miRNAs and mRNAs of both tumor and normal samples. We suggest that miRNA and mRNA pairs with opposite fold changes of their expression and with inverted correlation values between tumor and normal samples might be most relevant for explaining the decoupling of mRNAs and their targeting miRNAs in tumor samples for certain cancer types.http://deepblue.lib.umich.edu/bitstream/2027.42/134658/1/12859_2016_Article_1219.pd

Combining high-throughput micro-CT-RGB phenotyping and genome-wide association study to dissect the genetic architecture of tiller growth in rice

Manual phenotyping of rice tillers is time consuming and labor intensive and lags behind the rapid development of rice functional genomics. Thus, automated, non-destructive phenotyping of rice tiller traits at a high spatial resolution and high-throughput for large-scale assessment of rice accessions is urgently needed. In this study, we developed a high-throughput micro-CT-RGB (HCR) imaging system to non-destructively extract 730 traits from 234 rice accessions at 9 time points. We could explain 30% of the grain yield variance from 2 tiller traits assessed in the early growth stages. A total of 402 significantly associated loci were identified by GWAS, and dynamic and static genetic components were found across the nine time points. A major locus associated with tiller angle was detected at nine time points, which contained a major gene TAC1. Significant variants associated with tiller angle were enriched in the 3'-UTR of TAC1. Three haplotypes for the gene were found and rice accessions containing haplotype H3 displayed much smaller tiller angles. Further, we found two loci contained associations with both vigor-related HCR traits and yield. The superior alleles would be beneficial for breeding of high yield and dense planting