430 research outputs found
Mechanical Copying, Copyright Law, and the Teacher
This article deals with the infringement problems encountered by a teacher in duplicating copyrighted material for his class. Since the teacher is the real party in interest, we have attempted to avoid legalistic language (at least without explanation), so as to produce a paper to which the layman, as well as the lawyer may turn for understanding
Mechanical Copying, Copyright Law, and the Teacher
This article deals with the infringement problems encountered by a teacher in duplicating copyrighted material for his class. Since the teacher is the real party in interest, we have attempted to avoid legalistic language (at least without explanation), so as to produce a paper to which the layman, as well as the lawyer may turn for understanding
New Lithium Measurements in Metal-Poor Stars
We provide *lambda*6708 Li 1 measurements in 37 metal-poor stars, most of
which are poorly-studied or have no previous measurements, from high-resolution
and high-S/N spectroscopy obtained with the McDonald Observatory 2.1m and 2.7m
telescopes. The typical line strength and abundance uncertainties, confirmed by
the thinness of the Spite plateau manifested by our data and by comparison with
previous measurements, are <=4 mAng and <=0.07-0.10 dex respectively. Two rare
moderately metal-poor solar-Teff dwarfs, HIP 36491 and 40613, with
significantly depleted but still detectable Li are identified; future light
element determinations in the more heavily depeleted HIP 40613 may provide
constraints on the Li depletion mechanism acting in this star. We note two
moderately metal-poor and slightly evolved stars, HIP 105888 and G265-39, that
appear to be analogs of the low-Li moderately metal-poor subgiant HD 201889.
Preliminary abundance analysis of G 265-39 finds no abnormalities that suggest
the low Li content is associated with AGB mass-transfer or deep mixing and
p-capture. We also detect line doubling in HIP 4754, heretofore classified as
SB1.Comment: Accepted for publication in PASP, volume 912 (Feb 2012) 15 pages, 3
figures, 2 table
Undermining User Privacy on Mobile Devices Using AI
Over the past years, literature has shown that attacks exploiting the
microarchitecture of modern processors pose a serious threat to the privacy of
mobile phone users. This is because applications leave distinct footprints in
the processor, which can be used by malware to infer user activities. In this
work, we show that these inference attacks are considerably more practical when
combined with advanced AI techniques. In particular, we focus on profiling the
activity in the last-level cache (LLC) of ARM processors. We employ a simple
Prime+Probe based monitoring technique to obtain cache traces, which we
classify with Deep Learning methods including Convolutional Neural Networks. We
demonstrate our approach on an off-the-shelf Android phone by launching a
successful attack from an unprivileged, zeropermission App in well under a
minute. The App thereby detects running applications with an accuracy of 98%
and reveals opened websites and streaming videos by monitoring the LLC for at
most 6 seconds. This is possible, since Deep Learning compensates measurement
disturbances stemming from the inherently noisy LLC monitoring and unfavorable
cache characteristics such as random line replacement policies. In summary, our
results show that thanks to advanced AI techniques, inference attacks are
becoming alarmingly easy to implement and execute in practice. This once more
calls for countermeasures that confine microarchitectural leakage and protect
mobile phone applications, especially those valuing the privacy of their users
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Racial/ethnic disparities in health-related quality of life and health status across pre-, early-, and mid-adolescence: a prospective cohort study.
PURPOSE:To examine (1) racial/ethnic disparities in health-related quality of life (HRQOL) and overall health status among Black, Latino, and White youth during adolescence; (2) whether socioeconomic status (SES) and family contextual variables influence disparities; and (3) whether disparities are consistent from pre- to early- to mid-adolescence. METHODS:A population sample of 4823 Black (1755), Latino (1812), and White (1256) youth in three US metropolitan areas was prospectively assessed in a longitudinal survey conducted on three occasions, in 5th, 7th, and 10th grades, when youth reported their HRQOL using the PedsQL™ short-form Total, Physical and Psychosocial scales and youth and parents separately reported on youth's overall health status. Parents reported their education and household income to index SES, family structure, and use of English at home. RESULTS:Based on analysis conducted separately at each grade, marked racial/ethnic disparities were observed across all measures of HRQOL and health status, favoring White and disfavoring Black, and especially Latino youth. More strongly present in 5th and 7th grade, HRQOL disparities decreased by 10th grade. Most disparities between White and Black youth disappeared when adjusting for SES. However, even after adjusting for SES, family structure, and English use, overall health status disparities disfavoring Latino youth remained across all three assessments. CONCLUSIONS:Racial/ethnic disparities in adolescent HRQOL and health are substantial. These disparities appear consistent from pre- to early-adolescence but diminish for HRQOL by mid-adolescence. As disparities appear influenced by SES and other family contextual variables differently in different racial/ethnic groups, efforts to reduce health disparities in youth should address culturally specific conditions impinging on health
Evaluation of Talking Parents, Healthy Teens, a new worksite based parenting programme to promote parent-adolescent communication about sexual health: randomised controlled trial
Objective To evaluate a worksite based parenting programme—Talking Parents, Healthy Teens—designed to help parents learn to address sexual health with their adolescent children
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