17 research outputs found
Integrating Radiant Flooring with Insulation
Radiant flooring has gained traction in recent years becoming very common in residential construction, especially in custom homes. There are different types of radiant flooring that has been deployed into the construction of residential homes, but not all of them have been effective. Currently, radiant flooring must be installed either during construction of a new home, or requires the removal of existing flooring in order to place radiant components below and then reinstall the flooring. Not only does it require the removal of flooring, it is also quite expensive to purchase and install. This paper looks into whether or not a radiant component can be applied to batt flooring insulation to provide the same effect as radiant flooring that is placed under a particular flooring type in a home. This could reduce the amount of work needed to install a radiant flooring system to a home and integrate it with a building material that is necessary for a home without a slab on grade foundation
LINE-1 and Alu retrotransposition exhibit clonal variation
BACKGROUND: The non-long terminal repeat (non-LTR) retrotransposons, long interspersed element-1 (LINE-1) and Alu are currently active retroelements in humans. We, and others, have observed that different populations of HeLa cells from different laboratories support retrotransposition of LINE-1 and Alu to varying degrees. We therefore tested whether individual cell clones of HeLa and HCT116 cell lines supported different levels of LINE-1 and Alu retrotransposition, and whether these variations were stable upon re-cloning. FINDINGS: Standard retrotransposition tissue culture assays were used to measure a cell’s ability to support LINE-1 and Alu retrotransposition in clonal HeLa and HCT116 cell lines. We observed that both LINE-1 and Alu retrotransposition exhibited clonal variation in HeLa cells, with certain HeLa cell clones supporting high levels of LINE-1 and Alu retrotransposition and other cell clones being essentially retrotransposition-dead. This clonal variation was similarly observed in HCT116 cells, although possibly not to the same extent. These patterns of clonal variation are relatively consistent upon re-cloning. CONCLUSIONS: Observations of the variability of LINE-1 and Alu retrotransposition in different populations of the same cell line are supported by our results that indicate in some cell types, individual cell clones can have dramatically differing capacity for retrotransposition. The mixed populations of cells commonly used in laboratories have often been passaged for many generations and accumulated significant genetic and epigenetic diversity. Our results suggest that the clonal variability observed by our cloning experiments may lead to a homogenization of retrotransposition capacity, with the resulting mixed population of cells being composed of individual variants having either increased or decreased retrotransposition potential compared to the starting population
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games
As Artificial and Robotic Systems are increasingly deployed and relied upon
for real-world applications, it is important that they exhibit the ability to
continually learn and adapt in dynamically-changing environments, becoming
Lifelong Learning Machines. Continual/lifelong learning (LL) involves
minimizing catastrophic forgetting of old tasks while maximizing a model's
capability to learn new tasks. This paper addresses the challenging lifelong
reinforcement learning (L2RL) setting. Pushing the state-of-the-art forward in
L2RL and making L2RL useful for practical applications requires more than
developing individual L2RL algorithms; it requires making progress at the
systems-level, especially research into the non-trivial problem of how to
integrate multiple L2RL algorithms into a common framework. In this paper, we
introduce the Lifelong Reinforcement Learning Components Framework (L2RLCF),
which standardizes L2RL systems and assimilates different continual learning
components (each addressing different aspects of the lifelong learning problem)
into a unified system. As an instantiation of L2RLCF, we develop a standard API
allowing easy integration of novel lifelong learning components. We describe a
case study that demonstrates how multiple independently-developed LL components
can be integrated into a single realized system. We also introduce an
evaluation environment in order to measure the effect of combining various
system components. Our evaluation environment employs different LL scenarios
(sequences of tasks) consisting of Starcraft-2 minigames and allows for the
fair, comprehensive, and quantitative comparison of different combinations of
components within a challenging common evaluation environment.Comment: The Second International Conference on AIML Systems, October 12--15,
2022, Bangalore, Indi
Galaxy Zoo: quantitative visual morphological classifications for 48 000 galaxies from CANDELS
We present quantified visual morphologies of approximately 48 000 galaxies observed in three Hubble Space Telescope legacy fields by the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS) and classified by participants in the Galaxy Zoo project. 90 per cent of galaxies have z ≤ 3 and are observed in rest-frame optical wavelengths by CANDELS. Each galaxy received an average of 40 independent classifications, which we combine into detailed morphological information on galaxy features such as clumpiness, bar instabilities, spiral structure, and merger and tidal signatures. We apply a consensus-based classifier weighting method that preserves classifier independence while effectively down-weighting significantly outlying classifications. After analysing the effect of varying image depth on reported classifications, we also provide depth-corrected classifications which both preserve the information in the deepest observations and also enable the use of classifications at comparable depths across the full survey. Comparing the Galaxy Zoo classifications to previous classifications of the same galaxies shows very good agreement; for some applications, the high number of independent classifications provided by Galaxy Zoo provides an advantage in selecting galaxies with a particular morphological profile, while in others the combination of Galaxy Zoo with other classifications is a more promising approach than using any one method alone. We combine the Galaxy Zoo classifications of ‘smooth’ galaxies with parametric morphologies to select a sample of featureless discs at 1 ≤ z ≤ 3, which may represent a dynamically warmer progenitor population to the settled disc galaxies seen at later epochs
Genome-wide structural variant analysis identifies risk loci for non-Alzheimer’s dementias
We characterized the role of structural variants, a largely unexplored type of genetic variation, in two non-Alzheimer’s dementias, namely Lewy body dementia (LBD) and frontotemporal dementia (FTD)/amyotrophic lateral sclerosis (ALS). To do this, we applied an advanced structural variant calling pipeline (GATK-SV) to short-read whole-genome sequence data from 5,213 European-ancestry cases and 4,132 controls. We discovered, replicated, and validated a deletion in TPCN1 as a novel risk locus for LBD and detected the known structural variants at the C9orf72 and MAPT loci as associated with FTD/ALS. We also identified rare pathogenic structural variants in both LBD and FTD/ALS. Finally, we assembled a catalog of structural variants that can be mined for new insights into the pathogenesis of these understudied forms of dementia
The genomic landscape of core-binding factor acute myeloid leukemias
Acute myeloid leukemia (AML) comprises a heterogeneous group of leukemias frequently defined by recurrent cytogenetic abnormalities, including rearrangements involving the core-binding factor (CBF) transcriptional complex. To better understand the genomic landscape of CBF-AMLs, we analyzed both pediatric (n = 87) and adult (n = 78) samples, including cases with RUNX1-RUNX1T1 (n = 85) or CBFB-MYH11 (n = 80) rearrangements, by whole-genome or whole-exome sequencing. In addition to known mutations in the Ras pathway, we identified recurrent stabilizing mutations in CCND2, suggesting a previously unappreciated cooperating pathway in CBF-AML. Outside of signaling alterations, RUNX1-RUNX1T1 and CBFB-MYH11 AMLs demonstrated remarkably different spectra of cooperating mutations, as RUNX1-RUNX1T1 cases harbored recurrent mutations in DHX15 and ZBTB7A, as well as an enrichment of mutations in epigenetic regulators, including ASXL2 and the cohesin complex. This detailed analysis provides insights into the pathogenesis and development of CBF-AML, while highlighting dramatic differences in the landscapes of cooperating mutations for these related AML subtypes