Debris re-entry modeling using high dimensional derivative based uncertainty quantification

Well-known tools developed for satellite and debris re-entry perform break-up and trajectory simulations in a deterministic sense and do not perform any uncertainty treatment. In this paper, we present work towards implementing uncertainty treatment into a Free Open Source Tool for Re-entry of Asteroids and Space Debris (FOSTRAD). The uncertainty treatment in this work is limited to aerodynamic trajectory simulation. Results for the effect of uncertain parameters on trajectory simulation of a simple spherical object is presented. The work uses a novel uncertainty quantification approach based on a new derivation of the high dimensional model representation method. Both aleatoric and epistemic uncertainties are considered in this work. Uncertain atmospheric parameters considered include density, temperature, composition, and free-stream air heat capacity. Uncertain model parameters considered include object flight path angle, object speed, object mass, and direction angle. Drag is the only aerodynamic force considered in the planar re-entry problem. Results indicate that for initial conditions corresponding to re-entry from a circular orbit, the probabilistic distributions for the impact location are far from the typically used Gaussian or ellipsoids and the high probability impact location along the longitudinal direction can be spread over ∼2000 km, while the overall distribution can be spread over ∼4000 km. High probability impact location along the lateral direction can be spread over ∼400 km

Surrogate model for probabilistic modeling of atmospheric entry for small NEO's

Near Earth Objects (NEOs) enter the Earths atmosphere on a regular basis. Depending on the size, object and entry parameters; these objects can burn-up through ablation (complete evaporation), undergo fragmentation of varying nature, or impact the ground unperturbed. Parameters that influence the physics during entry are either unknown or highly uncertain. In this work, we propose a probabilistic approach for simulating entry. Probabilistic modeling typically requires an expensive Monte Carlo approach. In this work, we develop and present a novel engineering approach of developing surrogate models for simulation of the atmospheric entry accounting for drag, ablation, evaporation, fragmentation, and ground impact

Sensitivity analysis and probabilistic re-entry modeling for debris using high dimensional model representation based uncertainty treatment

Well-known tools developed for satellite and debris re-entry perform break- up and trajectory simulations in a deterministic sense and do not perform any uncertainty treatment. The treatment of uncertainties associated with the re-entry of a space object requires a probabilistic approach. A Monte Carlo campaign is the intuitive approach to performing a probabilistic analysis, however, it is computationally very expensive. In this work, we use a recently developed approach based on a new derivation of the high dimensional model representation method for implementing a computationally efficient probabilistic analysis approach for re-entry. Both aleatoric and epistemic uncertainties that affect aerodynamic trajectory and ground impact location are considered. The method is applicable to both controlled and uncontrolled re-entry scenarios. The resulting ground impact distributions are far from the typically used Gaussian or ellipsoid distributions

Trichoderma aureoviride: phylogenetic position and characterization

The identity of strains identified as Trichoderma aureoviride/Hypocrea aureoviridis was reconsidered. Trichoderma aureoviride was isolated originally from a specimen identified as H. aureoviridis and thus is H. aureoviridis. The morphological and molecular characters of most strains identified as T. aureoviride differ from those of the ex-type but are more typical of T. harzianum, a member of sect. Pachybasium. Molecular data do not support inclusion of T. aureoviride in sect. Trichoderma, nor was there strong phenotypic similarity between H. aureoviridis and H. rufa. In the ITS phylogeny the T. aureoviride ex-type and other collections of H. aureoviridis form a strongly supported clade that is separate from any other recognized section of Trichoderma. Hypocrea vinosa, which was originally included in the T. aureoviride aggregate species concept, is distinct from T. aureoviride, but closely allied with H. rufa/T. viride. Trichoderma aureoviride/H. aureoviridis is a rare species, restricted to the UK and the Netherlands. We redefine T. aureoviride, limiting it to strains with very slow growth rate, effuse conidiation, and the ITS-1 and 2 sequence type D.Peer Reviewe

Purifying selection and birth-and-death evolution in the class II hydrophobin gene families of the ascomycete Trichoderma/Hypocrea

<p>Abstract</p> <p>Background</p> <p>Hydrophobins are proteins containing eight conserved cysteine residues that occur uniquely in mycelial fungi. Their main function is to confer hydrophobicity to fungal surfaces in contact with air or during attachment of hyphae to hydrophobic surfaces of hosts, symbiotic partners or themselves resulting in morphogenetic signals. Based on their hydropathy patterns and solubility characteristics, hydrophobins are divided into two classes (I and II), the latter being found only in ascomycetes.</p> <p>Results</p> <p>We have investigated the mechanisms driving the evolution of the class II hydrophobins in nine species of the mycoparasitic ascomycetous genus <it>Trichoderma/Hypocrea</it>, using three draft sequenced genomes (<it>H. jecorina = T. reesei, H. atroviridis = T. atroviride; H. virens = T. virens</it>) an additional 14,000 ESTs from six other Trichoderma spp. (<it>T. asperellum, H. lixii = T. harzianum, T. aggressivum </it>var. <it>europeae, T. longibrachiatum</it>, <it>T</it>. cf. <it>viride</it>). The former three contained six, ten and nine members, respectively. Ten is the highest number found in any ascomycete so far. All the hydrophobins we examined had the conserved four beta-strands/one helix structure, which is stabilized by four disulfide bonds. In addition, a small number of these hydrophobins (HFBs)contained an extended N-terminus rich in either proline and aspartate, or glycine-asparagine. Phylogenetic analysis reveals a mosaic of terminal clades containing duplicated genes and shows only three reasonably supported clades. Calculation of the ratio of differences in synonymous vs. non-synonymous nucleotide substitutions provides evidence for strong purifying selection (<it>K</it>_<it>S</it>/<it>K</it>_{<it>a </it>}>> 1). A genome database search for class II HFBs from other ascomycetes retrieved a much smaller number of hydrophobins (2–4) from each species, and most were from Sordariomycetes. A combined phylogeny of these sequences with those of <it>Trichoderma </it>showed that the <it>Trichoderma </it>HFBs mostly formed their own clades, whereas those of other Sordariomycetes occurred in shared clades.</p> <p>Conclusion</p> <p>Our study shows that the genus <it>Trichoderma/Hypocrea </it>has a proliferated arsenal of class II hydrophobins which arose by birth-and-death evolution followed by purifying selection.</p

Mouse Tracking Algorithm Based on the Multiple Model Kalman Filter Design and Implementation of Ophthalmological Corrector

The article deals with a software implementation of the ophthalmologic corrector. The corrector is perceived as a medical device for a correction of the amblyopia. During the exercise, children are requested to draw a template, which is placed on a metal board. This therapeutic procedure has been used in clinical practice for many years. There is a big disadvantage of using the mentioned device. There is no any manageable way for storing and archiving patient’s data. Furthermore, exercise must be performed on the clinical workplace. Due to these facts, we are interested in software design and implement the ophthalmologic corrector. The proposed corrector is based on a mouse-tracking algorithm, which is able to perform the tracking of the mouse movement in the form of continuous line. Formed line overlaps the selected template. This procedure allows the identification of the real time accuracy and distance of the generated line from a given template. Furthermore, the algorithm allows for storing the achieved results for further data processing. It is a required tool for assessment and plan of therapeutic treatment in the field of ophthalmology

Antagonist potential of Trichoderma indigenous isolates for biological control of Phytophthora palmivora the causative agent of black pod disease on cocoa (Theobroma cacao L.) in Côte d’Ivoire

The biodiversity of Trichoderma isolates from cocoa rhizosphere in cocoa production areas of Côte d’Ivoire, and their antagonist potential with Phytophthora palmivora using in vitro assays and bioassays, were investigated and screened for field trials. A total of 135 isolates were analysed at the species level by using sequence analysis of ITS1 and 2 of the rRNA region and a fragment of translation elongation factor 1a (tef1) gene. Sixty-four isolates were identified as T. virens, 60 as T. harzianum, 7 as T. spirale, two as T. asperellum and two unidentified. Forty-three Trichoderma isolates were in vitro confronted with P. palmivora on agar plates, and their antagonist activity was further evaluated by the damages on leaf discs and detached pods. Twenty-five isolates reduced the mycelial growth of P. Palmivora more than 50%. The isolate T17 assigned to T .virens was the best to reduce mycelium growth upto 97.9%. All of Trichoderma isolates with the exception of isolate T39 reduced foliar sensitivity to P. palmivora. Tweenty-six Trichoderma isolates reduced the pod sensitivity to P. palmivora more than 50%. Based on the combined analysis, T. virens T7, T. harzianum T40, T. asperellum T54 and T. spirale T4 isolates were selected for field trials