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2,863 results for “Challenge”
Planning to Explore: Using a Coordinated Multisource Infrastructure to Overcome Present and Future Space Flight Planning Challenges
Few human endeavors present as much of a planning and scheduling challenge as space flight, particularly manned space flight. Just on the operational side of it, efforts of thousands of people across hundreds of organizations need to be coordinated. Numerous tasks of varying complexity and nature, from scientific to construction, need to be accomplished within limited mission time frames. Resources need to be carefully managed and contingencies worked out, often on a very short notice. From the beginning of the NASA space program, planning has been done by large teams of domain experts working months, sometimes years, to put together a single mission. This approach, while proven very reliable up to now, is becoming increasingly harder to sustain. Elevated levels of NASA space activities, from deployment of the new Crew Exploration Vehicle (CEV) and completion of the International Space Station (ISS), to the planned lunar missions and permanent lunar bases, will put an even greater strain on this largely manual process. While several attempts to automate it have been made in the past, none have fully succeeded. In this paper we describe the current NASA planning methods, outline their advantages and disadvantages, discuss the planning challenges of upcoming missions and propose a distributed planning/scheduling framework (CMMD) aimed at unifying and optimizing the planning effort. CMMD will not attempt to make the process completely automated, but rather serve in a decision support capacity for human managers and planners. It will help manage information gathering, creation of partial and consolidated schedules, inter-team negotiations, contingencies investigation, and rapid re-planning when the situation demands it. The first area of CMMD application will be planning for Extravehicular Activities (EVA) and associated logistics. Other potential applications, not only in the space flight domain, and future research efforts will be discussed as well.
The ProADAPT System in the 2009 Diagnostic Challenge Competition
Reliable systems health management is an important research area of NASA. A health management system that can accurately and quickly diagnose faults in various on-board systems of a vehicle will play a key role in the success of current and future NASA missions. We introduce in this paper the ProDiagnose algorithm, a diagnostic algorithm that uses a probabilistic approach, accomplished with Bayesian Network models compiled to Arithmetic Circuits, to diagnose these systems. We describe the ProDiagnose algorithm, how it works, and the probabilistic models involved. We show by experimentation on two Electrical Power Systems based on the ADAPT testbed, used in the Diagnostic Challenge Competition (DX-09), that ProDiagnose can produce results with over 96% accuracy and < 1 second mean diagnostic time. **Reference:** B. W. Ricks, and O. J. Mengshoel. "The Diagnostic Challenge Competition: Probabilistic Techniques for Fault Diagnosis in Electrical Power Systems." Proc. of the 20th International workshop on Principles of Diagnosis (DX-09) Stockholm, Sweden, 2009 **BibTex Reference:** @inproceedings{ricks09diagnostic, author = {Ricks, B. W. and Mengshoel, O. J.}, title = {The Diagnostic Challenge Competition: Probabilistic Techniques for Fault Diagnosis in Electrical Power Systems}, booktitle = {Proc. of the 20th International Workshop on Principles of Diagnosis (DX-09)}, address = {Stockholm, Sweden}, year = {2009} }
COMPLEX NETWORKS IN CLIMATE SCIENCE: PROGRESS, OPPORTUNITIES AND CHALLENGES
COMPLEX NETWORKS IN CLIMATE SCIENCE: PROGRESS, OPPORTUNITIES AND CHALLENGES KARSTEN STEINHAEUSER, NITESH V. CHAWLA, AND AUROOP R. GANGULY Abstract. Networks have been used to describe and model a wide range of complex systems, both natural as well as man-made. One particularly interesting application in the earth sciences is the use of complex networks to represent and study the global climate system. In this paper, we motivate this general approach, explain the basic methodology, report on the state of the art (including our contributions), and outline open questions and opportunities for future research.
Addressing the Real-World Challenges in the Development of Propulsion IVHM Technology Experiment (PITEX)
The Propulsion IVHM Technology Experiment (PITEX) has been an on-going research effort conducted over several years. PITEX has developed and applied a model-based diagnostic system for the main propulsion system of the X-34 reusable launch vehicle, a space-launch technology demonstrator. The application was simulation-based using detailed models of the propulsion subsystem to generate nominal and failure scenarios during captive carry, which is the most safety-critical portion of the X-34 flight. Since no system-level testing of the X-34 Main Propulsion System (MPS) was performed, these simulated data were used to verify and validate the software system. Advanced diagnostic and signal processing algorithms were developed and tested in real-time on flight-like hardware. In an attempt to expose potential performance problems, these PITEX algorithms were subject to numerous real-world effects in the simulated data including noise, sensor resolution, command/valve talkback information, and nominal build variations. The current research has demonstrated the potential benefits of model-based diagnostics, defined the performance metrics required to evaluate the diagnostic system, and studied the impact of real-world challenges encountered when monitoring propulsion subsystems.
Gene expression assessed by genome wide hybridization bead array in T84 polarized tight monolayers after challenge with celiac disease-associated bacteria [CTR 32 33 34]
GEO Series GSE103992. Homo sapiens. 12 samples. Type: Expression profiling by array.
Phase 1 Trial With Challenge to Assess the Safety and Biomarkers of Protection in Malaria-naive Adults of Immunization Via Mosquito Bite With Radiation-Attenuated Plasmodium Falciparum Sporozoites (IM
GEO Series GSE192757. Homo sapiens. 42 samples. Type: Expression profiling by high throughput sequencing.
Brain transcriptomics of social challenge and maternal aggression in incubating female tree swallows
GEO Series GSE274514. Tachycineta bicolor. 40 samples. Type: Expression profiling by high throughput sequencing.
Murine lung transcripts during soluble egg antigen (SEA)-induced allergic asthma and bleomycin-induced pulmonary fibrosis in Wildtype, IL-13Ra1 and IL-13Ra2 deficient mice sensitized and challenged
GEO Series GSE27721. Mus musculus. 27 samples. Type: Expression profiling by array.
mRNA profiles of bone marrow and splenic hematopoietic stem cells after 5-FU challenge
GEO Series GSE248234. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
PBMC gene expression profiles from vaccinated or non-vaccinated humans challenged with influenza viruses
GEO Series GSE253685. Homo sapiens. 339 samples. Type: Expression profiling by array.
Responses of Atlantic salmon to vaccination and challenge with salmon alphavirus (SAV) and Moritella viscosa
GEO Series GSE173130. Salmo salar. 64 samples. Type: Expression profiling by array.
Exposure to a low-dose pollutant mixture does not trigger obesity in female mice but results in metabolic disturbances showing both common and specific features as compared to a high-fat diet challeng
GEO Series GSE86582. Mus musculus. 13 samples. Type: Expression profiling by array.
Multivalent vaccines demonstrate immunogenicity and protect against Coxiella burnetii aerosol challenge
GEO Series GSE229293. Mus musculus; Coxiella burnetii. 40 samples. Type: Protein profiling by protein array.
Intraesophageally challenge of OVA to epicutaneously sensitized mice with loss of epithelial Ikkβ results in experimental EoE that is faithful to human EoE esophageal mucosal pathology. [I]
GEO Series GSE270219. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Immunzition of Salp14-C mRNA and lipid nanoparticles elicited multiple immune response to tick challenge in guinea pig skin
GEO Series GSE261496. Cavia porcellus. 6 samples. Type: Expression profiling by high throughput sequencing.
Gene expression of cardiomyocytes isolated from vehicle and Doxorubicin challenged mice
GEO Series GSE223698. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Responses of Monocytes derived macrophages from TB-infected and TB-free cattles to in vitro M.bovis challenge
GEO Series GSE41401. Bos taurus. 12 samples. Type: Expression profiling by array.
Gene expression of E.coli challenged green rice leafhopper Nephotettix cincticeps.
GEO Series GSE135974. Nephotettix cincticeps. 14 samples. Type: Expression profiling by array.
Defining DC response to cognate T cell interaction in the antigen-challenged lymph node [dataset 3]
GEO Series GSE129213. Mus musculus. 39 samples. Type: Expression profiling by high throughput sequencing.
Gene expression profiling in caprine milk somatic and white blood cells upon intramammary challenge with Staphylococcus aureus
GEO Series GSE33894. Bos taurus; Capra hircus. 46 samples. Type: Expression profiling by array.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.