They’re the modern way to find love according to the 323 million people who use them worldwide, but dating apps are fuelling an obsession with cosmetic surgery that may not have a happy ending.

Human evolution has revolved around food, from identifying and foraging for it to growing and preparing it. Carnegie Mellon University researchers have identified a region in the brain's visual cortex that responds to food and have developed a theoretical framework that could explain the origins of this selectivity. The team recently published a paper in Trends in Neurosciences that outlines how visual and nonvisual signals contribute to the brain's cortical responses when people were shown images of food. Researchers also found that images of food in context elicited additional responses in the brain, as compared to images without context. One explanation for this finding is that seeing these objects in their natural context might invoke the varied experiences of interacting with food or other information related to identifying food as just that: food. For example, signals that could influence food selectivity in the visual cortex include color, social cues or the motor actions of eating.

In recent years, vaping has become popular as an alternative to traditional cigarettes. Flavored electronic cigarettes — known as e-cigarettes — have become so popular among young adults that some states have implemented restrictions such as flavor bans and taxes on e-cigarettes in an effort to reduce teen vaping.

A new study from researchers at the University of Missouri and the Yale School of Public Health found that state restrictions on flavored e-cigarettes led to a decrease in vaping among young adults in the United States. However, those restrictions also led to an increase in traditional cigarette smoking among young adults compared to states without such restrictions.

Dynamic facial projection mapping (DFPM) has reached new heights in speed and accuracy, with the development of a state-of-the-art system with groundbreaking innovations. The first breakthrough involved a hybrid detection technique combining different methods to detect facial landmarks in just 0.107 milliseconds. The researchers also proposed a way to simulate high-frame-rate video annotations to train their models and introduced a lens-shift co-axial projector-camera setup to reduce alignment errors, enabling smoother and more immersive projections.