Consensus under Misaligned Orientations

This paper presents a consensus algorithm under misaligned orientations, which is defined as (i) misalignment to global coordinate frame of local coordinate frames, (ii) biases in control direction or sensing direction, or (iii) misaligned virtual global coordinate frames. After providing a mathematical formulation, we provide some sufficient conditions for consensus or for divergence. Besides the stability analysis, we also conduct some analysis for convergence characteristics in terms of locations of eigenvalues. Through a number of numerical simulations, we would attempt to understand the behaviors of misaligned consensus dynamics.Comment: 23 pages, 9 figure

Action, agency and responsibility

The list of 342 soybean landraces and 1062 improved lines sampled in this study. (XLSX 78 kb

Additional file 3: of Genomic consequences of selection and genome-wide association mapping in soybean

Detail Information of 125 selection features and corresponding candidate genes. (XLSX 37 kb

Additional file 12: of Genomic consequences of selection and genome-wide association mapping in soybean

The list of phenotypes used in this study and summary of tested environments. (DOCX 19 kb

Additional file 2: Table S3. of Genome-wide association mapping of partial resistance to Phytophthora sojae in soybean plant introductions from the Republic of Korea

Annotations for candidate genes within QTLs. (XLSX 44 kb

Additional file 1: Table S1. of Genome-wide association mapping of partial resistance to Phytophthora sojae in soybean plant introductions from the Republic of Korea

Summary of mean lesion lengths from tray tests and virulence profiles from hypocotyl inoculations utilizing 22 different isolates of P. sojae. Table S2a Hypocotyl assay with isolate C2S1 and genotypic data of markers within QTL for 94 randomly selected accessions included in the GWA analysis. Table S2b Hypocotyl assay of differentials for isolate C2S1. Figure S1 Examination of population structure of 800 Plant Introductions. Figure S2 Manhattan plot of the soybean genome depicting the extent of associations of 19,138 SNPs with inoculated root rot score, inoculated root weight, inoculated shoot weight and inoculated plant height. Figure S3 Manhattan plot of the soybean genome depicting the extent of associations of 19,138 SNPs with non-inoculated root weight, non-inoculated shoot weight and non-inoculated plant height. (PDF 962 kb

A Decision Support System to Evaluate Suppliers in the Context of Global Service Providers

In this paper, we present a decision support system (DSS) developed for a global service provider (GSP), which solves a real-world supplier selection problem. The GSP operates in the Italian market of facility management, supplying customers with a variety of services. These services are subcontracted to external qualified suppliers spread all over Italy and chosen on the basis of several criteria, such as service quality, availability and proximity. Selecting the best supplier is a complex task due to the large number of suppliers and the great variety of facility management services offered by the GSP. In the proposed DSS, the choice of the best supplier for a certain service is made according to a thorough multi-criteria analysis. The weights for the criteria were generated by implementing both a simplified analytic hierarchy process and a revised Simos' procedure, later validated by the decision makers at the GSP. The DSS provides quick access to historical performance data, visual tools to aid decisions, and a suggested ranked list of suppliers for each given contract. The effectiveness of the proposed system was assessed by means of extensive simulations on a seven-year period of real-data and several rounds of validation with the company

Characterization of Soybean Storage and Allergen Proteins Affected by Environmental and Genetic Factors

There is limited information on the influence of genetic and environmental variability on soybean protein composition. This study aimed to determine the role of genotype (G), environments (E), and the interrelationship of genotype and environment (G×E) on soybean seed protein. Three sets of nine soybean genotypes were grown in replicated trials at Maryland, South Carolina, and South Dakota. At each location, the nine genotypes were grown with two planting/sowing dates. We applied two-dimensional gel electrophoresis and mass spectrometry to study the variability of soybean storage and allergen proteins. Statistical analysis of 47 storage and 8 allergen proteins, in terms of differentially expressed protein spots significant at the <i>p</i><0.005 level, was performed. We found more spots that showed statistically significant differences in expression among E compared to G and G×E interaction

Additional file 4: Figure S2. of Identification of QTL with large effect on seed weight in a selective population of soybean with genome-wide association and fixation index analyses

Extent of linkage disequilibrium (LD) in euchromatic (black) and heterochromatic (gray) regions of the 20 soybean chromosomes. (PDF 219 kb

Relative expression level of five candidate genes identified in PI 594891 and PI 594774 in the presence of the frogeye leaf spot fungus <i>Cercospora sojina</i>.

<p>Relative expression level of five candidate genes identified in PI 594891 and PI 594774 in the presence of the frogeye leaf spot fungus <i>Cercospora sojina</i>.</p