5,109 research outputs found
Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation Threads
Target-specific stance detection on social media, which aims at classifying a
textual data instance such as a post or a comment into a stance class of a
target issue, has become an emerging opinion mining paradigm of importance. An
example application would be to overcome vaccine hesitancy in combating the
coronavirus pandemic. However, existing stance detection strategies rely merely
on the individual instances which cannot always capture the expressed stance of
a given target. In response, we address a new task called conversational stance
detection which is to infer the stance towards a given target (e.g., COVID-19
vaccination) when given a data instance and its corresponding conversation
thread. To tackle the task, we first propose a benchmarking conversational
stance detection (CSD) dataset with annotations of stances and the structures
of conversation threads among the instances based on six major social media
platforms in Hong Kong. To infer the desired stances from both data instances
and conversation threads, we propose a model called Branch-BERT that
incorporates contextual information in conversation threads. Extensive
experiments on our CSD dataset show that our proposed model outperforms all the
baseline models that do not make use of contextual information. Specifically,
it improves the F1 score by 10.3% compared with the state-of-the-art method in
the SemEval-2016 Task 6 competition. This shows the potential of incorporating
rich contextual information on detecting target-specific stances on social
media platforms and implies a more practical way to construct future stance
detection tasks
Optimization of a feedforward symbol timing estimator using two samples per symbol for optical coherent QPSK systems
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Boundaries of Disk-like Self-affine Tiles
Let be a disk-like self-affine tile generated by an
integral expanding matrix and a consecutive collinear digit set , and let be the characteristic polynomial of . In the
paper, we identify the boundary with a sofic system by
constructing a neighbor graph and derive equivalent conditions for the pair
to be a number system. Moreover, by using the graph-directed
construction and a device of pseudo-norm , we find the generalized
Hausdorff dimension where
is the spectral radius of certain contact matrix . Especially,
when is a similarity, we obtain the standard Hausdorff dimension where is the largest positive zero of
the cubic polynomial , which is simpler than
the known result.Comment: 26 pages, 11 figure
Associations of four biological age markers with child development: a multi-omic analysis in the European HELIX cohort
Background: While biological age in adults is often understood as representing general health and resilience, the conceptual interpretation of accelerated biological age in children and its relationship to development remains unclear. We aimed to clarify the relationship of accelerated biological age, assessed through two established biological age indicators, telomere length and DNA methylation age, and two novel candidate biological age indicators , to child developmental outcomes, including growth and adiposity, cognition, behaviour, lung function and onset of puberty, among European school-age children participating in the HELIX exposome cohort. Methods: The study population included up to 1,173 children, aged between 5 and 12 years, from study centres in the UK, France, Spain, Norway, Lithuania, and Greece. Telomere length was measured through qPCR, blood DNA methylation and gene expression was measured using microarray, and proteins and metabolites were measured by a range of targeted assays. DNA methylation age was assessed using Horvath's skin and blood clock, while novel blood transcriptome and 'immunometabolic' (based on plasma protein and urinary and serum metabolite data) clocks were derived and tested in a subset of children assessed six months after the main follow-up visit. Associations between biological age indicators with child developmental measures as well as health risk factors were estimated using linear regression, adjusted for chronological age, sex, ethnicity and study centre. The clock derived markers were expressed as Î age (i.e., predicted minus chronological age). Results: Transcriptome and immunometabolic clocks predicted chronological age well in the test set (r= 0.93 and r= 0.84 respectively). Generally, weak correlations were observed, after adjustment for chronological age, between the biological age indicators. Among associations with health risk factors, higher birthweight was associated with greater immunometabolic Î age, smoke exposure with greater DNA methylation Î age and high family affluence with longer telomere length. Among associations with child developmental measures, all biological age markers were associated with greater BMI and fat mass, and all markers except telomere length were associated with greater height, at least at nominal significance (p<0.05). Immunometabolic Î age was associated with better working memory (p = 4e -3) and reduced inattentiveness (p= 4e -4), while DNA methylation Î age was associated with greater inattentiveness (p=0.03) and poorer externalizing behaviours (p= 0.01). Shorter telomere length was also associated with poorer externalizing behaviours (p=0.03). Conclusions: In children, as in adults, biological ageing appears to be a multi-faceted process and adiposity is an important correlate of accelerated biological ageing. Patterns of associations suggested that accelerated immunometabolic age may be beneficial for some aspects of child development while accelerated DNA methylation age and telomere attrition may reflect early detrimental aspects of biological ageing, apparent even in children. Funding: UK Research and Innovation (MR/S03532X/1); European Commission (grant agreement numbers: 308333; 874583)
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Assembly of the algal CO2-fixing organelle, the pyrenoid, is guided by a Rubisco-binding motif
Approximately one-third of the Earth's photosynthetic CO2 assimilation occurs in a pyrenoid, an organelle containing the CO2-fixing enzyme Rubisco. How constituent proteins are recruited to the pyrenoid and how the organelle's subcompartments-membrane tubules, a surrounding phase-separated Rubisco matrix, and a peripheral starch sheath-are held together is unknown. Using the model alga Chlamydomonas reinhardtii, we found that pyrenoid proteins share a sequence motif. We show that the motif is necessary and sufficient to target proteins to the pyrenoid and that the motif binds to Rubisco, suggesting a mechanism for targeting. The presence of the Rubisco-binding motif on proteins that localize to the tubules and on proteins that localize to the matrix-starch sheath interface suggests that the motif holds the pyrenoid's three subcompartments together. Our findings advance our understanding of pyrenoid biogenesis and illustrate how a single protein motif can underlie the architecture of a complex multilayered phase-separated organelle
Silk fibroin photo-lyogels containing microchannels as a biomaterial platform for: In situ tissue engineering
The biophysical properties of biomaterials are key to directing the biological responses and biomaterial integration and function in in situ tissue engineering approaches. We present silk photo-lyogels, a biomaterial format fabricated using a new combinatorial approach involving photo-initiated crosslinking of silk fibroin via di-tyrosine bonds followed by lyophilization to generate 3D, porous lyogels showing physical properties distinct to those of lyophilized silk sponges or silk hydrogels. This fabrication approach allowed introduction of microchannels into 3D constructs via biofabrication approaches involving silk crosslinking around an array of 3D printed photocurable resin pillars to generate parallel channels or around a 3D printed sacrificial thermosensitive gel to generate interconnected channels in a rapid manner and without the need for chemical modification of silk fibroin. The presence of interconnected microchannels significantly improved migration of endothelial cells into 3D photo-lyogels in vitro, and tissue infiltration, photo-lyogel integration, and vascularization when implanted in vivo in a mouse subcutaneous model. Taken together, these findings demonstrate the feasibility and utility of a new combinatorial fabrication approach for generation of silk biomaterials that support cell interactions and implant integration for in situ tissue engineering approaches
In situ evidence for the structure of the magnetic null in a 3D reconnection event in the Earth's magnetotail
Magnetic reconnection is one of the most important processes in
astrophysical, space and laboratory plasmas. Identifying the structure around
the point at which the magnetic field lines break and subsequently reform,
known as the magnetic null point, is crucial to improving our understanding
reconnection. But owing to the inherently three-dimensional nature of this
process, magnetic nulls are only detectable through measurements obtained
simultaneously from at least four points in space. Using data collected by the
four spacecraft of the Cluster constellation as they traversed a diffusion
region in the Earth's magnetotail on 15 September, 2001, we report here the
first in situ evidence for the structure of an isolated magnetic null. The
results indicate that it has a positive-spiral structure whose spatial extent
is of the same order as the local ion inertial length scale, suggesting that
the Hall effect could play an important role in 3D reconnection dynamics.Comment: 14 pages, 4 figure
An intensive study of aerosol optical properties in Beijing urban area
In order to quantify the aerosol impact on climate, a range of aerosol parameters are required. In this paper, two-year of ground-based observations of aerosol optical properties from an urban site in Beijing of China are assessed. The aerosol absorption coefficient (&sigma;<sub>a</sub>), scattering coefficient (&sigma;<sub>s</sub>), as well as single scattering albedo (Ď) are analyzed to aid in characterizing Beijing's urban aerosol. Two-year averages (and standard deviations) for &sigma;<sub>a</sub> at 532 nm, &sigma;<sub>s</sub> at 525 nm and Ď at 525 nm are 56&plusmn;49 Mm<sup>&minus;1</sup>, 288&plusmn;281 Mm<sup>&minus;1</sup> and 0.80&plusmn;0.09, respectively. Meanwhile, there is a distinct diurnal variation for &sigma;<sub>a</sub>, with its minimum occurring at approximately 14:00 to 15:00 and maximum at midnight. &sigma;<sub>s</sub> peaks in the late morning and the minimum occurs in the evening. &sigma;<sub>s</sub> in summer is higher than that in winter. Ď is also higher in summer than that in winter, except before 07:00 a.m., and peaks in the early afternoon. Both &sigma;<sub>a</sub> and &sigma;<sub>s</sub> show strong dependence on local wind in all four seasons. When the wind blows from the north with low speed (0â2 m/s), the values of &sigma;<sub>a</sub> are high, and in contrast, very low with wind speeds higher than 4 m/s. When the wind blows from south with low speed (0â4 m/s), &sigma;<sub>a</sub> is intermediate. The patterns of the wind dependence of &sigma;<sub>a</sub> indicates that &sigma;<sub>a</sub> is mainly dominated by local emissions. &sigma;<sub>s</sub> displays a similar dependence on wind speed and direction to &sigma;<sub>a</sub>, except in summer. In summer, the &sigma;<sub>s</sub> value is highest when wind is from southeast with speed of 0â6 m/s. This indicates that the particle pollution resulting from regional transport is only significant in the summer season. Ď also shows wind dependence to some extent though not as strong as &sigma;<sub>a</sub> or &sigma;<sub>s</sub>. Overall, the wind dependence results provide valuable information about the locations of aerosol pollution sources and suggest that the air pollution in summer is a regional problem but in other seasons it is mainly affected by local urban emissions
Policy challenges for the pediatric rheumatology workforce: Part III. the international situation
Survival dominates current pediatric global health priorities. Diseases of poverty largely contribute to overall mortality in children under 5 years of age. Infectious diseases and injuries account for 75% of cause-specific mortality among children ages 5-14 years. Twenty percent of the world's population lives in extreme poverty (income below US $1.25/day). Within this population, essential services and basic needs are not met, including clean water, sanitation, adequate nutrition, shelter, access to health care, medicines and education. In this context, musculoskeletal disease comprises 0.1% of all-cause mortality in children ages 5-14 years. Worldwide morbidity from musculoskeletal disease remains generally unknown in the pediatric age group. This epidemiologic data is not routinely surveyed by international agencies, including the World Health Organization. The prevalence of pediatric rheumatic diseases based on data from developed nations is in the range of 2,500 - 3,000 cases per million children. Developing countries' needs for musculoskeletal morbidity are undergoing an epidemiologic shift to chronic conditions, as leading causes of pediatric mortality are slowly quelled
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