1,540 research outputs found
Measurements of and polarization in longitudinally polarized proton-proton collisions at =200 GeV at STAR
Preliminary results for the longitudinal polarization of and hyperons in longitudinally polarized proton-proton collisions at
= 200 GeV are presented. The () candidates are
reconstructed at mid-rapidity () with the time projection chamber of
the STAR experiment at RHIC, using 0.5 pb collected in 2003 and 2004
with beam polarizations of up to 45%. Their mean longitudinal momentum fraction
is about 8 and their mean transverse momentum is
about 1.5 GeV. The analysis uses asymmetries of counts for different spin
states of the colliding proton beams and does not require detailed knowledge of
the detector acceptance. The preliminary ()
polarization values are consistent with zero within their statistical
uncertainties of 0.05.Comment: 4 pages, 2 eps figures. Talk presented at the Particles and Nuclei
International Conference (PANIC05), October 24-28, 2005 Santa Fe, US
Application of Acoustic Emission Technique in the Monitoring of Masonry Structures
The application of acoustic emission (AE) technique in monitoring the safe condition is a useful technique in steel and concrete structures, whereas its application is restrained in masonry structures due to the layered property. Qualitative and quantitative analyses were investigated in this research to improve the AE application in masonry structures. For quantitative analysis, an improved localization method is proposed to give more reliable crack localization results. In the proposed method, the parameter ξ on the behavior of inhomogeneity of the monitored structure could minimize the unavoidable propagation delay caused by the layers in the masonry structure. The rest results approved the reliability of the proposed method in masonry structures. For qualitative analysis, the parameter analysis, including the cumulative AE event, frequency distribution, time-scaling exponent, and b-value, was adopted to monitor one historical church and was approved to be useful
Implementing Controlled Digital Lending with Google Drive and Apps Script: A Case Study at the NYU Shanghai Library
The unexpected outbreak of COVID-19 near the beginning of 2020 has significantly interrupted the daily operation of a wide range of academic institutions worldwide. As a result, libraries faced a challenge of providing their patrons access to physical collections while the campuses may remain closed.
Discussions on the implementation of Controlled Digital Lending (CDL) among libraries have been trending ever since. In theory, CDL enables libraries to digitize a physical item from their collections and loan the access-restricted file to one user at a time based on the “owned to loaned” ratio in the library’s collections, for a limited time. Despite all the discussions and enthusiasm about CDL, there is, however, still a lack of technical infrastructure to support individual libraries to manage their self-hosted collections. With COVID-19 still very much a presence in our lives, many libraries are more than eager to figure out the best approach to circulating materials that only exist in print form to their users in a secure and legitimate way.
This article describes the author's temporary but creative implementation of CDL amid the COVID-19 pandemic. We managed to work out a technical solution in a very short time, to lend out digital versions of library materials to users when the library is physically inaccessible to them. By collaborating with our campus IT, a Google Spreadsheet with Google Apps Scripts was developed to allow a team of Access Services Staff to do hourly loans, which is a desired function for our reserve collection. Further, when the access to a file expires, staff will be notified via email. We hope our experience can be useful for those libraries that are interested in lending their physical materials using CDL and are in urgent need for an applicable solution without a cost
Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems
Anomaly detection is critical to ensure the security of cyber-physical
systems (CPS). However, due to the increasing complexity of attacks and CPS
themselves, anomaly detection in CPS is becoming more and more challenging. In
our previous work, we proposed a digital twin-based anomaly detection method,
called ATTAIN, which takes advantage of both historical and real-time data of
CPS. However, such data vary significantly in terms of difficulty. Therefore,
similar to human learning processes, deep learning models (e.g., ATTAIN) can
benefit from an easy-to-difficult curriculum. To this end, in this paper, we
present a novel approach, named digitaL twin-based Anomaly deTecTion wIth
Curriculum lEarning (LATTICE), which extends ATTAIN by introducing curriculum
learning to optimize its learning paradigm. LATTICE attributes each sample with
a difficulty score, before being fed into a training scheduler. The training
scheduler samples batches of training data based on these difficulty scores
such that learning from easy to difficult data can be performed. To evaluate
LATTICE, we use five publicly available datasets collected from five real-world
CPS testbeds. We compare LATTICE with ATTAIN and two other state-of-the-art
anomaly detectors. Evaluation results show that LATTICE outperforms the three
baselines and ATTAIN by 0.906%-2.367% in terms of the F1 score. LATTICE also,
on average, reduces the training time of ATTAIN by 4.2% on the five datasets
and is on par with the baselines in terms of detection delay time
Longitudinal spin transfer of Lambda and anti-Lambda in polarized pp collisions at \sqrt s=200 GeV at STAR
We report our measurement on longitudinal spin transfer, D_LL, from high
energy polarized protons to and hyperons in
proton-proton collisions at with the STAR detector at
RHIC. The current measurements cover , pseudorapidity
and transverse momenta up to using the data taken
in 2005. The longitudinal spin transfer is found to be D_LL= -0.03\pm 0.13
(stat) \pm 0.04(syst)\LambdaD_{LL} = -0.12 \pm
0.08(stat) \pm 0.03(syst)\bar{\Lambda} =
0.5 = 3.7 GeV/c$. The prospects with 2009 data and the future
measurements are also given.Comment: 6 pages, 3 figures, presentation at the SPIN2010 International
Symposium, Juelich (Germany), Sep. 27-Oct. 2, 201
The Buck Stops Here: The Importance of ROI and How to Demonstrate Value in a Corporate Library Setting
With the economic downturn, libraries need to show a return on investment on each dollar they receive, especially within the collection development budget. Library\u27s collection development decisions for e-journal and e-book purchases need to be based on detailed analytics, for example, review of usage statistics reports and cost-per-use calculations. The process of gathering statistics from dozens of supplier platforms and then creating custom cost-per-use reports is manual and time consuming. Additionally, in corporate library settings, ad-hoc reporting, historical trending bears significance. At the end of 2010, the Library acquired a product to be implemented in 2011. The benefit of the new product was that it could gather stats automatically. Additionally, the Library staff did its own customization and imported historical data for creating trending reports for budget analysis and uploaded cost and usage data for e-books.
The presenters will discuss the importance of libraries showing ROI and how the library creatively put together a product they needed in order to prove its value to its financial and upper-management teams. The presenters would also like to open a discussion of how other libraries are showing their return on investment.
Please note: While Ms. Markovic was not able to attend the conference her analytical results were instrumental to the outcome of the study
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