![]() ![]() On the other hand, a handful of users were prosecuted and charged for issuing threats against the president and other public officials on social media. ![]() ![]() Three people were also detained on suspicion of involvement in the hacking of the minister of security’s personal Twitter account to send disinformation and insults. While Argentina does not suffer from high levels of violence against journalists, at least three cases of cyberattacks against news outlets were reported during the period of coverage. This period also saw some attempts to remove content from social networks and video-sharing websites. Meanwhile, controversial judicial orders were issued during the coverage period of this report to block the transportation mobile app Uber, though it remained available in Buenos Aires. The bill had yet to be approved by the Chamber of Representatives. In November 2016, a bill regulating internet intermediaries was approved by the Senate, establishing the need for a judicial order to remove online content for all cases. The government does not regularly block or filter the internet, and issues of content removal have improved since the Argentine Supreme Court established a judicial notice and takedown system in a 2014 decision. A decree issued in December 2016 allowed companies to offer cable TV as well as internet and phone services, though a law to unify telecommunications and broadcast media legislation was still pending in mid-year. Since being sworn in as president in December 2015, Mauricio Macri has established a new telecommunications regulator and taken steps to reform the sector. While internet penetration and online engagement continued to make gains in Argentina, a series of technical attacks against media outlets threatened critical online reporting. Emergency Assistance and Thematic Programs.Afghanistan Human Rights Coordination Mechanism.Government Accountability & Transparency.© 2004 by Lippincott Williams & Wilkins, Inc. In addition, PACKRAT scores proved to have a strong predictive value of student pass/fail performance on the PANCE. The scores obtained by the students on the PACKRAT examination correlated well with those obtained on the first administration of the PANCE. A PACKRAT score of < 55% (raw score = 124) had a sensitivity of 77.2% and specificity of 83.3%. Logistic regression showed a significant relationship between PACKRAT scores and PANCE performance ( P<0.001). Results:Ĭorrelation between PACKRAT and PANCE scores showed a correlation coefficient of 0.668 ( P<0.001). Analysis of the predictive value of PACKRAT results with respect to passing the PANCE was accomplished using logistic regression. The relationship between the scores was evaluated by determination of the correlation coefficient. This represents students included in seven different classes (n = 375). The first didactic year is divided into three separate trimesters and a new class of students begins each four months. The study included those students that began their training in May of 1999 through May 2001. The PANCE scores represent the first attempt by IPAP graduates to attain certification shortly following completion of their second phase of training (clinical rotations). The PACKRAT examination was administered to students within the last few weeks of their first year of training, just prior to beginning their clinical rotations. PACKRAT scores from students enrolled in the Interservice Physician Assistant Program (IPAP) following their didactic year of training were compared to the PANCE scores by the same students. The purpose of this study is to determine the relationship between student scores on the Physician Assistant Clinical Knowledge Rating and Assessment Tool (PACKRAT) and performance on the Physician Assistant National Certifying Examination (PANCE). ![]()
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