888 research outputs found
Generalising some results about right-angled Artin groups to graph products of groups
We prove three results about the graph product G=\G(\Gamma;G_v, v \in
V(\Gamma)) of groups over a graph . The first result generalises
a result of Servatius, Droms and Servatius, proved by them for right-angled
Artin groups; we prove a necessary and sufficient condition on a finite graph
for the kernel of the map from to the associated direct product to
be free (one part of this result already follows from a result in S. Kim's
Ph.D. thesis). The second result generalises a result of Hermiller and Sunic,
again from right-angled Artin groups; we prove that for a graph with
finite chromatic number, has a series in which every factor is a free
product of vertex groups. The third result provides an alternative proof of a
theorem due to Meier, which provides necessary and sufficient conditions on a
finite graph for to be hyperbolic
Multi-hop Evidence Retrieval for Cross-document Relation Extraction
Relation Extraction (RE) has been extended to cross-document scenarios
because many relations are not simply described in a single document. This
inevitably brings the challenge of efficient open-space evidence retrieval to
support the inference of cross-document relations, along with the challenge of
multi-hop reasoning on top of entities and evidence scattered in an open set of
documents. To combat these challenges, we propose MR.COD (Multi-hop evidence
retrieval for Cross-document relation extraction), which is a multi-hop
evidence retrieval method based on evidence path mining and ranking. We explore
multiple variants of retrievers to show evidence retrieval is essential in
cross-document RE. We also propose a contextual dense retriever for this
setting. Experiments on CodRED show that evidence retrieval with MR.COD
effectively acquires crossdocument evidence and boosts end-to-end RE
performance in both closed and open settings.Comment: ACL 2023 (Findings
Multioccupant Activity Recognition in Pervasive Smart Home Environments
been the center of lot of research for many years now. The aim is to recognize the sequence of actions by a specific person using sensor readings. Most of the research has been devoted to activity recognition of single occupants in the environment. However, living environments are usually inhabited by more than one person and possibly with pets. Hence, human activity recognition in the context of multi-occupancy is more general, but also more challenging. The difficulty comes from mainly two aspects: resident identification, known as data association, and diversity of human activities. The present survey paper provides an overview of existing approaches and current practices for activity recognition in multi-occupant smart homes. It presents the latest developments and highlights the open issues in this field
The immunophenotype of amniotic fluid leukocytes in normal and complicated pregnancies
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142907/1/aji12827.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/142907/2/aji12827_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/142907/3/aji12827-sup-0001-FigS1.pd
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science
This paper describes a machine learning and data science pipeline for
structured information extraction from documents, implemented as a suite of
open-source tools and extensions to existing tools. It centers around a
methodology for extracting procedural information in the form of recipes,
stepwise procedures for creating an artifact (in this case synthesizing a
nanomaterial), from published scientific literature. From our overall goal of
producing recipes from free text, we derive the technical objectives of a
system consisting of pipeline stages: document acquisition and filtering,
payload extraction, recipe step extraction as a relationship extraction task,
recipe assembly, and presentation through an information retrieval interface
with question answering (QA) functionality. This system meets computational
information and knowledge management (CIKM) requirements of metadata-driven
payload extraction, named entity extraction, and relationship extraction from
text. Functional contributions described in this paper include semi-supervised
machine learning methods for PDF filtering and payload extraction tasks,
followed by structured extraction and data transformation tasks beginning with
section extraction, recipe steps as information tuples, and finally assembled
recipes. Measurable objective criteria for extraction quality include precision
and recall of recipe steps, ordering constraints, and QA accuracy, precision,
and recall. Results, key novel contributions, and significant open problems
derived from this work center around the attribution of these holistic quality
measures to specific machine learning and inference stages of the pipeline,
each with their performance measures. The desired recipes contain identified
preconditions, material inputs, and operations, and constitute the overall
output generated by our computational information and knowledge management
(CIKM) system.Comment: 15th International Conference on Document Analysis and Recognition
Workshops (ICDARW 2019
Elevated hemostasis markers after pneumonia increases one-year risk of all-cause and cardiovascular deaths
Background: Acceleration of chronic diseases, particularly cardiovascular disease, may increase long-term mortality after community-acquired pneumonia (CAP), but underlying mechanisms are unknown. Persistence of the prothrombotic state that occurs during an acute infection may increase risk of subsequent atherothrombosis in patients with pre-existing cardiovascular disease and increase subsequent risk of death. We hypothesized that circulating hemostasis markers activated during CAP persist at hospital discharge, when patients appear to have recovered clinically, and are associated with higher mortality, particularly due to cardiovascular causes. Methods: In a cohort of survivors of CAP hospitalization from 28 US sites, we measured D-Dimer, thrombin-antithrombin complexes [TAT], Factor IX, antithrombin, and plasminogen activator inhibitor-1 at hospital discharge, and determined 1-year all-cause and cardiovascular mortality. Results: Of 893 subjects, most did not have severe pneumonia (70.6% never developed severe sepsis) and only 13.4% required intensive care unit admission. At discharge, 88.4% of subjects had normal vital signs and appeared to have clinically recovered. D-dimer and TAT levels were elevated at discharge in 78.8% and 30.1% of all subjects, and in 51.3% and 25.3% of those without severe sepsis. Higher D-dimer and TAT levels were associated with higher risk of all-cause mortality (range of hazard ratios were 1.66-1.17, p = 0.0001 and 1.46-1.04, p = 0.001 after adjusting for demographics and comorbid illnesses) and cardiovascular mortality (p = 0.009 and 0.003 in competing risk analyses). Conclusions: Elevations of TAT and D-dimer levels are common at hospital discharge in patients who appeared to have recovered clinically from pneumonia and are associated with higher risk of subsequent deaths, particularly due to cardiovascular disease. © 2011 Yende et al
Comparison of diffusion tensor imaging by cardiovascular magnetic resonance and gadolinium enhanced 3D image intensity approaches to investigation of structural anisotropy in explanted rat hearts
Background: Cardiovascular magnetic resonance (CMR) can through the two methods 3D FLASH and diffusion tensor imaging (DTI) give complementary information on the local orientations of cardiomyocytes and their laminar arrays. Methods: Eight explanted rat hearts were perfused with Gd-DTPA contrast agent and fixative and imaged in a 9.4T magnet by two types of acquisition: 3D fast low angle shot (FLASH) imaging, voxels 50 × 50 × 50 μm, and 3D spin echo DTI with monopolar diffusion gradients of 3.6 ms duration at 11.5 ms separation, voxels 200 × 200 × 200 μm. The sensitivity of each approach to imaging parameters was explored. Results:The FLASH data showed laminar alignments of voxels with high signal, in keeping with the presumed predominance of contrast in the interstices between sheetlets. It was analysed, using structure-tensor (ST) analysis, to determine the most (v 1 ST ), intermediate (v 2 ST ) and least (v 3 ST ) extended orthogonal directions of signal continuity. The DTI data was analysed to determine the most (e 1 DTI ), intermediate (e 2 DTI ) and least (e 3 DTI ) orthogonal eigenvectors of extent of diffusion. The correspondence between the FLASH and DTI methods was measured and appraised. The most extended direction of FLASH signal (v 1 ST ) agreed well with that of diffusion (e 1 DTI ) throughout the left ventricle (representative discrepancy in the septum of 13.3 ± 6.7°: median ± absolute deviation) and both were in keeping with the expected local orientations of the long-axis of cardiomyocytes. However, the orientation of the least directions of FLASH signal continuity (v 3 ST ) and diffusion (e 3 ST ) showed greater discrepancies of up to 27.9 ± 17.4°. Both FLASH (v 3 ST ) and DTI (e 3 DTI ) where compared to directly measured laminar arrays in the FLASH images. For FLASH the discrepancy between the structure-tensor calculated v 3 ST and the directly measured FLASH laminar array normal was of 9 ± 7° for the lateral wall and 7 ± 9° for the septum (median ± inter quartile range), and for DTI the discrepancy between the calculated v 3 DTI and the directly measured FLASH laminar array normal was 22 ± 14° and 61 ± 53.4°. DTI was relatively insensitive to the number of diffusion directions and to time up to 72 hours post fixation, but was moderately affected by b-value (which was scaled by modifying diffusion gradient pulse strength with fixed gradient pulse separation). Optimal DTI parameters were b = 1000 mm/s2 and 12 diffusion directions. FLASH acquisitions were relatively insensitive to the image processing parameters explored. Conclusions: We show that ST analysis of FLASH is a useful and accurate tool in the measurement of cardiac microstructure. While both FLASH and the DTI approaches appear promising for mapping of the alignments of myocytes throughout myocardium, marked discrepancies between the cross myocyte anisotropies deduced from each method call for consideration of their respective limitations
ALMA Survey of Orion Planck Galactic Cold Clumps (ALMASOP). II. Survey Overview : A First Look at 1.3 mm Continuum Maps and Molecular Outflows
Planck Galactic Cold Clumps (PGCCs) are considered to be the ideal targets to probe the early phases of star formation. We have conducted a survey of 72 young dense cores inside PGCCs in the Orion complex with the Atacama Large Millimeter/submillimeter Array (ALMA) at 1.3 mm (band 6) using three different configurations (resolutions similar to 035, 10, and 70) to statistically investigate their evolutionary stages and substructures. We have obtained images of the 1.3 mm continuum and molecular line emission ((CO)-C-12, and SiO) at an angular resolution of similar to 035 (similar to 140 au) with the combined arrays. We find 70 substructures within 48 detected dense cores with median dust mass similar to 0.093 M and deconvolved size similar to 027. Dense substructures are clearly detected within the central 1000 au of four candidate prestellar cores. The sizes and masses of the substructures in continuum emission are found to be significantly reduced with protostellar evolution from Class 0 to Class I. We also study the evolutionary change in the outflow characteristics through the course of protostellar mass accretion. A total of 37 sources exhibit CO outflows, and 20 (>50%) show high-velocity jets in SiO. The CO velocity extents (Delta Vs) span from 4 to 110 km s(-1) with outflow cavity opening angle width at 400 au ranging from [Theta(obs)](400) similar to 06-39, which corresponds to 334-1257. For the majority of the outflow sources, the Delta Vs show a positive correlation with [Theta(obs)](400), suggesting that as protostars undergo gravitational collapse, the cavity opening of a protostellar outflow widens and the protostars possibly generate more energetic outflows.Peer reviewe
Modulation of Cell Adhesion and Migration by the Histone Methyltransferase Subunit mDpy-30 and Its Interacting Proteins
We have previously shown that a subset of mDpy-30, an accessory subunit of the nuclear histone H3 lysine 4 methyltransferase (H3K4MT) complex, also localizes at the trans-Golgi network (TGN), where its recruitment is mediated by the TGN-localized ARF guanine nucleotide exchange factor (ArfGEF) BIG1. Depletion of mDpy-30 inhibits the endosome-to-TGN transport of internalized CIMPR receptors and concurrently promotes their accumulation at the cell protrusion. These observations suggest mDpy-30 may play a novel role at the crossroads of endosomal trafficking, nuclear transcription and adhesion/migration. Here we provide novel mechanistic and functional insight into this association. First, we demonstrate a direct interaction between mDpy-30 and BIG1 and locate the binding region in the N-terminus of BIG1. Second, we provide evidence that the depletion or overexpression of mDpy-30 enhances or inhibits cellular adhesion/migration of glioma cells in vitro, respectively. A similar increase in cell adhesion/migration is observed in cells with reduced levels of BIG1 or other H3K4MT subunits. Third, knockdown of mDpy-30, BIG1, or the RbBP5 H3K4MT subunit increases the targeting of β1 integrin to cell protrusions, and suppression of H3K4MT activity by depleting mDpy-30 or RbBP5 leads to increased protein and mRNA levels of β1 integrin. Moreover, stimulation of cell adhesion/migration via mDpy-30 knockdown is abolished after treating cells with a function-blocking antibody to β1 integrin. Taken together, these data indicate that mDpy-30 and its interacting proteins function as a novel class of cellular adhesion/migration modulators partially by affecting the subcellular distribution of endosomal compartments as well as the expression of key adhesion/migration proteins such as β1 integrin
Productivity and evapotranspiration of two contrasting semiarid ecosystems following the 2011 global carbon land sink anomaly
© 2016 Elsevier B.V. Global carbon balances are increasingly affected by large fluctuations in productivity occurring throughout semiarid regions. Recent analyses found a large C uptake anomaly in 2011 in arid and semiarid regions of the southern hemisphere. Consequently, we compared C and water fluxes of two distinct woody ecosystems (a Mulga (Acacia) woodland and a Corymbia savanna) between August 2012 and August 2014 in semiarid central Australia, demonstrating that the 2011 anomaly was short-lived in both ecosystems. The Mulga woodland was approximately C neutral but with periods of significant uptake within both years. The extreme drought tolerance of Acacia is presumed to have contributed to this. By contrast, the Corymbia savanna was a very large net C source (130 and 200gCm-2yr-1 in average and below average rainfall years, respectively), which is likely to have been a consequence of the degradation of standing, senescent biomass that was a legacy of high productivity during the 2011 anomaly. The magnitude and temporal patterns in ecosystem water-use efficiencies (WUE), derived from eddy covariance data, differed across the two sites, which may reflect differences in the relative contributions of respiration to net C fluxes across the two ecosystems. In contrast, differences in leaf-scale measures of WUE, derived from 13C stable isotope analyses, were apparent at small spatial scales and may reflect the different rooting strategies of Corymbia and Acacia trees within the Corymbia savanna. Restrictions on root growth and infiltration by a siliceous hardpan located below Acacia, whether in the Mulga woodland or in small Mulga patches of the Corymbia savanna, impedes drainage of water to depth, thereby producing a reservoir for soil moisture storage under Acacia while acting as a barrier to access of groundwater by Corymbia trees in Mulga patches, but not in the open Corymbia savanna
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