324 research outputs found
Rethinking the Future of News Literacy Education: Results from a Mixed Methods Study
In an era where most people rely on social media for their news and claims of fake news are rampant, news literacy is seen as increasingly important. In recent years, there has been a surge in initiatives to enhance news literacy among news consumers. However, our understanding of the effectiveness of these initiatives is limited. This study presents the findings from a mixed methods examination of the effectiveness of an online, asynchronous news literacy program offered to adults across the United States. While quantitative findings show that the program made little difference in participants’ already high levels of news literacy, the qualitative findings reveal that participating in the program provided people with a more nuanced, reflective, and less normative understanding of the news. Findings also point to the affective nature of news consumers’ interaction with news content, and a need to rethink news literacy education and assessment from a more learner-centered perspective
Teaching News Literacy During a Pandemic:: Adapting to the Virtual Learning Environment
This lesson plan is based on a collaborative teaching project between the co-authors that was implemented for an online community, over the course of a week in the fall of 2020, in response to the specific teaching and learning challenges presented by the pandemic. The online news literacy program was adapted and expanded from previous iterations of a one-day, in-person workshop, integrating specific pedagogical and engagement strategies for a much broader and more diverse learning community. The authors detail their approach to news literacy from a critical media and information literacy (CMIL) framework and how the program's content and activities were distributed and scaffolded across five days of online engagement
Teaching News Literacy During a Pandemic: Adapting to the Virtual Learning Environment
In the fall of 2020, as the coronavirus pandemic shuttered universities and sent much of higher education online, a team of media and information literacy experts at the University of Maine sought meaningful ways to collaboratively teach news literacy from a distance.
The result of their efforts was a weeklong virtual program, Friend, Enemy, or Frenemy? A News Literacy Challenge, open to anyone with an internet connection and an email address. This approach to remote learning scaffolded multiple literacies (critical media, news, and information) into five days, as participants examined different aspects of news production and consumption. The overall objective of the challenge was to render participants more aware of how the news is constructed and, subsequently, more critical of the news they consume and share
Model-Augmented Estimation of Conditional Mutual Information for Feature Selection
Markov blanket feature selection, while theoretically optimal, is generally
challenging to implement. This is due to the shortcomings of existing
approaches to conditional independence (CI) testing, which tend to struggle
either with the curse of dimensionality or computational complexity. We propose
a novel two-step approach which facilitates Markov blanket feature selection in
high dimensions. First, neural networks are used to map features to
low-dimensional representations. In the second step, CI testing is performed by
applying the -NN conditional mutual information estimator to the learned
feature maps. The mappings are designed to ensure that mapped samples both
preserve information and share similar information about the target variable if
and only if they are close in Euclidean distance. We show that these properties
boost the performance of the -NN estimator in the second step. The
performance of the proposed method is evaluated on both synthetic and real
data.Comment: Accepted to UAI 202
IR Kuiper Belt Constraints
We compute the temperature and IR signal of particles of radius and
albedo at heliocentric distance , taking into account the
emissivity effect, and give an interpolating formula for the result. We compare
with analyses of COBE DIRBE data by others (including recent detection of the
cosmic IR background) for various values of heliocentric distance, ,
particle radius, , and particle albedo, . We then apply these
results to a recently-developed picture of the Kuiper belt as a two-sector disk
with a nearby, low-density sector (40<R<50-90 AU) and a more distant sector
with a higher density. We consider the case in which passage through a
molecular cloud essentially cleans the Solar System of dust. We apply a simple
model of dust production by comet collisions and removal by the
Poynting-Robertson effect to find limits on total and dust masses in the near
and far sectors as a function of time since such a passage. Finally we compare
Kuiper belt IR spectra for various parameter values.Comment: 34 pages, LaTeX, uses aasms4.sty, 11 PostScript figures not embedded.
A number of substantive comments by a particularly thoughtful referee have
been addresse
In-vivo force, frequency, and velocity of dog gastrointestinal contractile activity
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/44364/1/10620_2005_Article_BF02233438.pd
2-Bromo-N-(4-chlorophenyl)-2-methylpropanamide
In the title molecule, C10H11BrClNO, there is a twist between the mean plane of the amide group and the benzene ring [C(=O)—N—C—C torsion angle = −27.1 (3)°]. In the crystal, intermolecular N—H⋯O and weak C—H⋯O hydrogen bonds link the molecules into chains along [010]
Efficacy, safety and tolerability of escitalopram in doses up to 50 mg in Major Depressive Disorder (MDD): an open-label, pilot study
<p>Abstract</p> <p>Background</p> <p>Escitalopram is licensed for use at doses up to 20 mg but is used clinically at higher doses. There is limited published data at higher doses and none in the treatment of Major Depressive Disorder (MDD).</p> <p>Methods</p> <p>This open-label, pilot study was designed to investigate the efficacy, safety and tolerability of escitalopram in doses up to 50 mg in MDD. It was conducted in 60 primary care patients with MDD who had not responded to adequate treatment with citalopram. Patients were treated with escalating doses of escitalopram up to 50 mg for up to 32 weeks until they achieved remission (Montgomery-Asberg Depression Rating Scale [MADRS] ≤8) or failed to tolerate the dose.</p> <p>Results</p> <p>Forty-two patients (70%) completed the study. Twenty-one patients (35%) achieved remission with 8 of the 21 patients (38%) needing the 50 mg dose to achieve remission. Median time to remission was 24 weeks and median dose in remission was 30 mg. No significant safety issues were identified although tolerability appeared to decline above a dose of 40 mg with 26% of patients unable to tolerate 50 mg. Twelve (20%) patients had adverse events leading to discontinuation. The most common adverse events were headache (35%), nausea, diarrhoea and nasopharyngitis (all 25%). Minor mean weight gain was found during the study, which did not appear to be dose-related. Half of the patients who completed the study chose to continue treatment with escitalopram rather than taper down the dose at 32 weeks.</p> <p>Conclusions</p> <p>Dose escalation with escitalopram above 20 mg may have a useful role in the management of patients with MDD, although further studies are needed to confirm this finding.</p> <p>Trial Registration</p> <p>ClinicalTrials.gov: <a href="http://www.clinicaltrials.gov/ct2/show/NCT00785434">NCT00785434</a></p
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