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TL;DR: A simple yet very powerful meta-analysis is proposed, which combines a wide panel of methods ranging from Bayesian networks to penalised linear regressions to analyse gene regulatory networks from different genetical genomics data sets and was ranked first among the teams participating in Challenge 3A.
Abstract: Modern technologies and especially next generation sequencing facilities are giving a cheaper access to genotype and genomic data measured on the same sample at once. This creates an ideal situation for multifactorial experiments designed to infer gene regulatory networks. The fifth “Dialogue for Reverse Engineering Assessments and Methods” (DREAM5) challenges are aimed at assessing methods and associated algorithms devoted to the inference of biological networks. Challenge 3 on “Systems Genetics” proposed to infer causal gene regulatory networks from different genetical genomics data sets. We investigated a wide panel of methods ranging from Bayesian networks to penalised linear regressions to analyse such data, and proposed a simple yet very powerful meta-analysis, which combines these inference methods. We present results of the Challenge as well as more in-depth analysis of predicted networks in terms of structure and reliability. The developed meta-analysis was ranked first among the teams participating in Challenge 3A. It paves the way for future extensions of our inference method and more accurate gene network estimates in the context of genetical genomics.
109 citations
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TL;DR: In this article, the authors describe the upwash prescribed by wing motion in a single-wing single-antenna single-rotor aircraft, and describe the kernel functions relating pressure and upwash.
Abstract: Nomenclature s = semispan t — nondimensional time referred to b/U A — aspect ratio U = reference speed = flight speed B — M — 1 = — 0 w = upwash prescribed by wing motion b = reference length = root semichord X = x — xi c = local semichord Y = y — y\ CL = lift coefficient Z = complex transversal variable = y + iz CM, CN = pitching and yawing moment coefficients, respecx, y, z — nondimensional Cartesian coordinates tively XL, XT = coordinates of the leading and the trailing edge, Cp — pressure coefficient respectively k = reduced frequency = ub/U % = chordwise variable Kp, K(j, = kernel functions relating pressure and upwash and 77 = spanwise variable potential and upwash, respectively
108 citations
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TL;DR: In this article, a dual-polarized broadband phased array antenna for the frequency range 6-18 GHz, a 45deg conical grating lobe free scan volume and equipped with BOR-elements developed by Saab is presented.
Abstract: A dual polarized broadband phased array antenna designed for the frequency range 6-18 GHz, a 45deg conical grating lobe free scan volume and equipped with BOR-elements developed by Saab is presented. The aim with this array element is to bring about a dual polarized broadband array antenna that is easy to assemble, disassemble and connect to active microwave modules. Disassembling may be important for maintenance and upgrade reasons. Mechanical design and electromagnetic performance in the form of active reflection coefficient, calculated from measured mutual coupling coefficients, and measured active gain element pattern for a central and an edge element is presented. Edge effects in the array, which may be severe in small broadband arrays, are considered in this paper
105 citations
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TL;DR: An optimization-based adaptive Kalman filtering method that recovers the observations h(x) from a system without a priori knowledge of system dynamics by solving an optimization problem over a short window of data.
104 citations
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TL;DR: In this paper, the fracture energy of an engineering adhesive was determined for different layer thicknesses of an adhesive and the shape of the cohesive law depends on the adhesive layer thickness, indicating a maximum between 1.0 and 1.5mm.
Abstract: Cohesive laws are determined for different layer thicknesses of an engineering adhesive. The shape of the cohesive law depends on the adhesive layer thickness. Of the two parameters of the cohesive law—the fracture energy and the strength—the fracture energy is more sensitive to thickness variation than the strength. The fracture energy in peel mode (Mode I) increases monotonically as the thickness is increased from 0.1 to about 1.0 mm. At an adhesive thickness of 1.5 mm, the fracture energy is slightly lower than for a 1.0 mm adhesive thickness, indicating a maximum between 1.0 and 1.5 mm. In shear mode (Mode II), the thickness dependence is not as strong, but an increasing trend in fracture energy with increasing adhesive thickness is evident. A slight decrease in strength with increasing adhesive thickness is found in both loading modes.
102 citations
Authors
Showing all 760 results
Name | H-index | Papers | Citations |
---|---|---|---|
Christer Larsson | 64 | 272 | 12916 |
Björn Johansson | 62 | 637 | 16030 |
David C. Viano | 48 | 232 | 8283 |
Thomas Schiex | 47 | 138 | 11031 |
Robin Hanson | 28 | 114 | 3519 |
Per Lötstedt | 28 | 109 | 2960 |
Brigitte Mangin | 26 | 48 | 2652 |
Lars Hanson | 19 | 117 | 1138 |
Carl Gustafson | 17 | 34 | 1035 |
Magnus Carlsson | 16 | 37 | 808 |
Per-Johan Nordlund | 14 | 26 | 2738 |
David Allouche | 14 | 26 | 680 |
Mark A. Saab | 13 | 16 | 1153 |
Andreas Gällström | 13 | 34 | 402 |
Hans Hellsten | 12 | 37 | 549 |