15 research outputs found
Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning
This paper concerns automated vehicles negotiating with other vehicles,
typically human driven, in crossings with the goal to find a decision algorithm
by learning typical behaviors of other vehicles. The vehicle observes distance
and speed of vehicles on the intersecting road and use a policy that adapts its
speed along its pre-defined trajectory to pass the crossing efficiently. Deep
Q-learning is used on simulated traffic with different predefined driver
behaviors and intentions. The results show a policy that is able to cross the
intersection avoiding collision with other vehicles 98% of the time, while at
the same time not being too passive. Moreover, inferring information over time
is important to distinguish between different intentions and is shown by
comparing the collision rate between a Deep Recurrent Q-Network at 0.85% and a
Deep Q-learning at 1.75%.Comment: 6 pages, 7 figures, Accepted to IEEE International Conference on
Intelligent Transportation Systems (ITSC) 201
Polygenic hazard score is associated with prostate cancer in multi-ethnic populations
Genetic models for cancer have been evaluated using almost exclusively European data, which could exacerbate health disparities. A polygenic hazard score (PHS1) is associated with age at prostate cancer diagnosis and improves screening accuracy in Europeans. Here, we evaluate performance of PHS2 (PHS1, adapted for OncoArray) in a multi-ethnic dataset of 80,491 men (49,916 cases, 30,575 controls). PHS2 is associated with age at diagnosis of any and aggressive (Gleason score >= 7, stage T3-T4, PSA >= 10ng/mL, or nodal/distant metastasis) cancer and prostate-cancer-specific death. Associations with cancer are significant within European (n=71,856), Asian (n=2,382), and African (n=6,253) genetic ancestries (p<10(-180)). Comparing the 80(th)/20(th) PHS2 percentiles, hazard ratios for prostate cancer, aggressive cancer, and prostate-cancer-specific death are 5.32, 5.88, and 5.68, respectively. Within European, Asian, and African ancestries, hazard ratios for prostate cancer are: 5.54, 4.49, and 2.54, respectively. PHS2 risk-stratifies men for any, aggressive, and fatal prostate cancer in a multi-ethnic dataset. A polygenic hazard score (PHS1) improves prostate cancer screening accuracy in European patients. Here, the authors test the performance of a version compatible with OncoArray genotypes (PHS2) in a multi-ethnic dataset and find that it risk-stratifies men for any, aggressive, and fatal prostate cancer
Polygenic hazard score is associated with prostate cancer in multi-ethnic populations.
Genetic models for cancer have been evaluated using almost exclusively European data, which could exacerbate health disparities. A polygenic hazard score (PHS1) is associated with age at prostate cancer diagnosis and improves screening accuracy in Europeans. Here, we evaluate performance of PHS2 (PHS1, adapted for OncoArray) in a multi-ethnic dataset of 80,491 men (49,916 cases, 30,575 controls). PHS2 is associated with age at diagnosis of any and aggressive (Gleason score ≥ 7, stage T3-T4, PSA ≥ 10 ng/mL, or nodal/distant metastasis) cancer and prostate-cancer-specific death. Associations with cancer are significant within European (n = 71,856), Asian (n = 2,382), and African (n = 6,253) genetic ancestries (p < 10-180). Comparing the 80th/20th PHS2 percentiles, hazard ratios for prostate cancer, aggressive cancer, and prostate-cancer-specific death are 5.32, 5.88, and 5.68, respectively. Within European, Asian, and African ancestries, hazard ratios for prostate cancer are: 5.54, 4.49, and 2.54, respectively. PHS2 risk-stratifies men for any, aggressive, and fatal prostate cancer in a multi-ethnic dataset
Inverkan av förbränningsteknik och bränsle på hälsofarligheten av partikelemissioner från småskalig biobränsleeldning
Godkänd; 2011; 20111010 (andbra
Inverkan av förbränningsteknik och bränsle på hälsofarligheten av partikelemissioner från småskalig biobränsleeldning
Godkänd; 2011; 20111010 (andbra
Emissioner från småskalig värmeproduktion med biobränslen : Ett samordnat projekt som berör hälsopåverkande partikel- och tungmetallutsläpp från tradionella och alternativa biobränslen
Godkänd; 2011; 20111010 (andbra
UNITE: a database providing web-based methods for the molecular identification of ectomycorrhizal fungi
Identification of ectomycorrhizal (ECM) fungi is often achieved through comparisons of ribosomal DNA internal transcribed spacer (ITS) sequences with accessioned sequences deposited in public databases. A major problem encountered is that annotation of the sequences in these databases is not always complete or trustworthy. In order to overcome this deficiency, we report on UNITE, an open-access database.
• UNITE comprises well annotated fungal ITS sequences from well defined herbarium specimens that include full herbarium reference identification data, collector/source and ecological data. At present UNITE contains 758 ITS sequences from 455 species and 67 genera of ECM fungi.
• UNITE can be searched by taxon name, via sequence similarity using blastn, and via phylogenetic sequence identification using galaxie. Following implementation, galaxie performs a phylogenetic analysis of the query sequence after alignment either to pre-existing generic alignments, or to matches retrieved from a blast search on the UNITE data. It should be noted that the current version of UNITE is dedicated to the reliable identification of ECM fungi.
• The UNITE database is accessible through the URL http://unite.zbi.e