1,090 research outputs found
Dual Enrollment, First-Year Retention, and Graduation: Analyzing the Impact of Dual Enrollment on Student Success Outcomes at a Public Research University
As more higher education institutions participate in offering college-level courses to high school students (often referred to as dual enrollment) it becomes increasingly important to evaluate the impact of participation in these courses on subsequent higher education student success outcomes, such as first-year retention and graduation rates. In recent years, there has been an increase in the body of literature devoted to this topic, however, much of this literature is aimed at analyzing the impact of dual enrollment courses on performance in community colleges. This study will examine the relationship between high school students taking dual enrollment courses and their later performance at a public, R1 university. Additionally, this study will employ Classification and Regression Trees (CART), a type of supervised statistical learning for identifying the success factors for dually enrolled students based on academic, demographic, and socioeconomic features. This study intends to offer results that provide generalizable knowledge for institutional decision-making pertaining to dual enrollment and success in higher education
Peer-to-peer sharing on the Internet: An analysis of how Gnutella networks are used to distribute pornographic material
By our very nature, humans are creatures that communicate and network. Over the past several decades much of this communicating and networking has been facilitated by developments in information and communication technology. The social and economic transformations resulting from developments on the Internet have created several challenges for policymakers, lawmakers, courts and a wide range of other kinds of institutions. Some of these challenges are associated with the technologies and applications themselves. Other challenges result from content made available on the Internet and how users exchange data. Recent developments in peer-to-peer data exchange bring these two sets of challenges together
Peer-to-peer sharing on the Internet: An analysis of how Gnutella networks are used to distribute pornographic material
By our very nature, humans are creatures that communicate and network. Over the past several decades much of this communicating and networking has been facilitated by developments in information and communication technology. The social and economic transformations resulting from developments on the Internet have created several challenges for policymakers, lawmakers, courts and a wide range of other kinds of institutions. Some of these challenges are associated with the technologies and applications themselves. Other challenges result from content made available on the Internet and how users exchange data. Recent developments in peer-to-peer data exchange bring these two sets of challenges together
VirtualIdentity : privacy preserving user profiling
User profiling from user generated content (UGC) is a common practice that supports the business models of many social media companies. Existing systems require that the UGC is fully exposed to the module that constructs the user profiles. In this paper we show that it is possible to build user profiles without ever accessing the user's original data, and without exposing the trained machine learning models for user profiling - which are the intellectual property of the company - to the users of the social media site. We present VirtualIdentity, an application that uses secure multi-party cryptographic protocols to detect the age, gender and personality traits of users by classifying their user-generated text and personal pictures with trained support vector machine models in a privacy preserving manner
Does Pre-Operative Multifidus Morphology on MRI Predict Clinical Outcomes in Adults Following Surgical Treatment for Degenerative Lumbar Spine Disease? A Systematic Review
Methods and Kit for Determination of Prostacyclin in Plasma
A solid-phase immunoassay for 6-keto-Prostaglandin F1α, the stable hydrolysis product of prostacyclin (Prostaglandin I2) is disclosed. Prostacyclin, a potent vasodilator with anti-platelet and anti-proliferative properties is an effective treatment for primary pulmonary hypertension and pulmonary arterial hypertension associated with scleroderma and scleroderma-like syndrome. Levels of 6-keto-Prostaglandin F1α can be directly correlated with levels of prostacyclin. Therefore, 6-keto-Prostaglandin F1α has become the indicator of choice to measure prostacyclin levels. The single step immunoassay for 6-keto-Prostaglandin F1α uses the bioluminescent protein, aequorin as a label. Analyte-label conjugates were constructed by linking the carboxyl group of 6-keto-Prostaglandin F1α and lysine residues of aequorin by chemical conjugation methods. The binding properties of 6-keto-Prostaglandin F1α towards its antibody and the bioluminescent properties of aequorin are retained in the conjugate. The concentration of 6-keto-Prostaglandin F1α after extraction from plasma shows good correlation with the concentration of 6-keto-Prostaglandin F1α obtained without prior extraction of the same plasma sample. The assay allows the measurement of 6-keto-Prostaglandin F1α directly in plasma without any pre-treatment of the samples, which results in a much simpler method with a faster assay time
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