217 research outputs found
Multi-party quantum key agreement protocol with authentication
Full text linkUtilizing the advantage of quantum entanglement swapping, a multi-party
quantum key agreement protocol with authentication is proposed. In this
protocol, a semi-trusted third party is introduced, who prepares Bell states,
and sends one particle to multiple participants respectively. After that the
participants can share a Greenberger-Horne-Zeilinger state by entanglement
swapping. Finally, these participants measure the particles in their hands and
obtain an agreement key. Here, classical hash function and Hadamard operation
are utilized to authenticate the identity of participants. The correlations of
GHZ states ensure the security of the proposed protocol. To illustrated it
detailly, the security of this protocol against common attacks is analyzed,
which shows that the proposed protocol is secure in theory
Feature-Enhanced Network with Hybrid Debiasing Strategies for Unbiased Learning to Rank
Full text linkUnbiased learning to rank (ULTR) aims to mitigate various biases existing in
user clicks, such as position bias, trust bias, presentation bias, and learn an
effective ranker. In this paper, we introduce our winning approach for the
"Unbiased Learning to Rank" task in WSDM Cup 2023. We find that the provided
data is severely biased so neural models trained directly with the top 10
results with click information are unsatisfactory. So we extract multiple
heuristic-based features for multi-fields of the results, adjust the click
labels, add true negatives, and re-weight the samples during model training.
Since the propensities learned by existing ULTR methods are not decreasing
w.r.t. positions, we also calibrate the propensities according to the click
ratios and ensemble the models trained in two different ways. Our method won
the 3rd prize with a DCG@10 score of 9.80, which is 1.1% worse than the 2nd and
25.3% higher than the 4th.Comment: 5 pages, 1 figure, WSDM Cup 202
OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning
Full text linkVisual object tracking aims to localize the target object of each frame based
on its initial appearance in the first frame. Depending on the input modility,
tracking tasks can be divided into RGB tracking and RGB+X (e.g. RGB+N, and
RGB+D) tracking. Despite the different input modalities, the core aspect of
tracking is the temporal matching. Based on this common ground, we present a
general framework to unify various tracking tasks, termed as OneTracker.
OneTracker first performs a large-scale pre-training on a RGB tracker called
Foundation Tracker. This pretraining phase equips the Foundation Tracker with a
stable ability to estimate the location of the target object. Then we regard
other modality information as prompt and build Prompt Tracker upon Foundation
Tracker. Through freezing the Foundation Tracker and only adjusting some
additional trainable parameters, Prompt Tracker inhibits the strong
localization ability from Foundation Tracker and achieves parameter-efficient
finetuning on downstream RGB+X tracking tasks. To evaluate the effectiveness of
our general framework OneTracker, which is consisted of Foundation Tracker and
Prompt Tracker, we conduct extensive experiments on 6 popular tracking tasks
across 11 benchmarks and our OneTracker outperforms other models and achieves
state-of-the-art performance.Comment: Accepted to CVPR 202
Impact of a moulded pureed diet on taste, appearance, recognisability, and overall liking among patients in an acute hospital
Get PDFIntroductionHospital meals potentially influence patients’ nutritional, physical, and emotional well-being during their admission. Patients on pureed diets report poorer meal satisfaction, due to taste, appearance, and recognisability, potentially impacting on their nutritional status. This study compared whether a moulded pureed diet made from modified maize starch led to improved taste, appearance, recognisability, and overall liking, compared to an unmoulded pureed diet made from potato starch in an acute hospital.MethodsPatients on texture-modified diets were recruited and presented with two pureed diets – unmoulded and moulded. Participants were asked to identify meat and vegetable dishes prior to eating. After the meal, participants indicated their diet preference in terms of appearance, taste, and overall liking.Results145 participants were recruited, of which 126 completed data collection. 86% correctly identified moulded meat dishes, 69% correctly identified moulded vegetable dishes, with an overall 77% accuracy in identifying moulded puree side dishes. On unmoulded puree side dishes, participants correctly identified 25% of meat dishes, 4% of vegetable dishes, with an overall accuracy of 14%. In terms of preference, the moulded puree was preferred, with 81% for appearance, 76% for taste and 75% for overall preference. When participants had differing preferences for appearance and taste (e.g., prefers unmoulded puree appearance and moulded puree taste), 95% of them subsequently aligned their overall preference with their taste preference (i.e., overall preferred moulded pureed diet). This suggests that taste has a stronger influence on overall preference compared to appearance.DiscussionFindings indicate that a moulded pureed diet made from modified maize starch led to improved recognisability, taste, appearance, and overall liking compared to an unmoulded pureed diet made from potato starch. Taste had a stronger influence on overall preference compared to appearance. These findings capture patient preferences and may have implications on how hospital pureed diets may be improved, potentially improving patient nutrition and health outcomes
Will the US Economy Recover in 2010? A Minimal Spanning Tree Study
Full text linkWe calculated the cross correlations between the half-hourly times series of
the ten Dow Jones US economic sectors over the period February 2000 to August
2008, the two-year intervals 2002--2003, 2004--2005, 2008--2009, and also over
11 segments within the present financial crisis, to construct minimal spanning
trees (MSTs) of the US economy at the sector level. In all MSTs, a core-fringe
structure is found, with consumer goods, consumer services, and the industrials
consistently making up the core, and basic materials, oil and gas, healthcare,
telecommunications, and utilities residing predominantly on the fringe. More
importantly, we find that the MSTs can be classified into two distinct,
statistically robust, topologies: (i) star-like, with the industrials at the
center, associated with low-volatility economic growth; and (ii) chain-like,
associated with high-volatility economic crisis. Finally, we present
statistical evidence, based on the emergence of a star-like MST in Sep 2009,
and the MST staying robustly star-like throughout the Greek Debt Crisis, that
the US economy is on track to a recovery.Comment: elsarticle class, includes amsmath.sty, graphicx.sty and url.sty. 68
pages, 16 figures, 8 tables. Abridged version of the manuscript presented at
the Econophysics Colloquim 2010, incorporating reviewer comment
TET1 is a tumor suppressor of hematopoietic malignancy
Get PDFThe methylcytosine dioxygenase TET1 (‘ten-eleven translocation 1’) is an important regulator of 5-hydroxymethylcytosine (5hmC) in embryonic stem cells. The diminished expression of TET proteins and loss of 5hmC in many tumors suggests a critical role for the maintenance of this epigenetic modification. Here we found that deletion of Tet1 promoted the development of B cell lymphoma in mice. TET1 was required for maintenance of the normal abundance and distribution of 5hmC, which prevented hypermethylation of DNA, and for regulation of the B cell lineage and of genes encoding molecules involved in chromosome maintenance and DNA repair. Whole-exome sequencing of TET1-deficient tumors revealed mutations frequently found in non-Hodgkin B cell lymphoma (B-NHL), in which TET1 was hypermethylated and transcriptionally silenced. Our findings provide in vivo evidence of a function for TET1 as a tumor suppressor of hematopoietic malignancy.National Institutes of Health (U.S.) (5RO1HD045022)National Institutes of Health (U.S.) (5R37CA084198
Search for continuous gravitational wave emission from the Milky Way center in O3 LIGO--Virgo data
Get PDFWe present a directed search for continuous gravitational wave (CW) signals
emitted by spinning neutron stars located in the inner parsecs of the Galactic
Center (GC). Compelling evidence for the presence of a numerous population of
neutron stars has been reported in the literature, turning this region into a
very interesting place to look for CWs. In this search, data from the full O3
LIGO--Virgo run in the detector frequency band have been
used. No significant detection was found and 95 confidence level upper
limits on the signal strain amplitude were computed, over the full search band,
with the deepest limit of about at .
These results are significantly more constraining than those reported in
previous searches. We use these limits to put constraints on the fiducial
neutron star ellipticity and r-mode amplitude. These limits can be also
translated into constraints in the black hole mass -- boson mass plane for a
hypothetical population of boson clouds around spinning black holes located in
the GC.Comment: 25 pages, 5 figure
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