A Review of Non-Nucleoside Reverse Transcriptase Inhibitors’ Structure and Activity with HIV-1 Reverse Transcriptase

Posted Leave a commentPosted in Biology, Chemistry

Abstract The human immunodeficiency virus (HIV) weakens the body’s immune system leading to the onset of acquired immunodeficiency syndrome (AIDS). Once the progression of HIV has led to AIDS, certain infections can be severely life-threatening when they normally are not. For years, researchers have been attempting to develop a complete cure for HIV, but current […]

A Q&A with Jan J. Eldridge

Posted Leave a commentPosted in Astrophysics

  Jan J. Eldridge is a theoretical astrophysicist and associate professor at the University of Auckland in New Zealand. She obtained her bachelor’s and doctoral degrees at the University of Cambridge. Afterwards, she completed post-doctorates at Queen’s University Belfast and the Institut d’Astrophysique de Paris and started working at the University of Auckland in 2011. […]

Running a Risk

Posted Leave a commentPosted in Medicine

Sports are encouraged more than ever before and people who do sports are fitter, healthier and can even live longer than those who don’t exercise regularly.[1] In fact, in a study observing almost 20,000 men and women from Copenhagen, Denmark, researchers found that light to moderate jogging was associated with an increase in survival: 6.2 […]

Personality and Healthcare Decision-Making

Posted Leave a commentPosted in Medicine

Abstract Certain personality traits can affect healthcare decision-making. Personality traits such as neuroticism, extroversion, agreeableness, conscientiousness, and openness to experience can influence the patients’ perception of their health status and treatment plans. This paper explores how the aforementioned personality traits help to determine patients’ willingness to participate in making decisions concerning their healthcare such as […]

Study of Convolutional Neural Networks for Early Detection of Diabetic Retinopathy

Posted Leave a commentPosted in Medicine

Abstract Diabetic retinopathy (DR) is the leading cause of blindness in the working-age population of the developed world. Presently, detecting DR is a manual, time-consuming process that requires a trained ophthalmologist to examine and evaluate digital fundus photographs of the retina. Computer machine learning technologies such as Convolutional Neural Networks (CNNs) have emerged as an […]