30 years of HIV therapy: Current and future antiviral drug targets.

Significant advances in treatment have turned HIV-1 into a manageable chronic condition. This has been achieved due to highly active antiretroviral therapy (HAART), involving a combination regimen of medications, including drugs that target Reverse Transcriptase, Protease, Integrase, and viral entry, explored in this review. This paper also highlights novel therapies, such as Lenacapavir, and avenues toward functional cure targeting the CCR5 co-receptor, including the Δ32 mutation.

Optimising Concrete Crack Detection: A Study of Transfer Learning with Application on Nvidia Jetson Nano.

The use of Artificial Intelligence (AI) to detect defects such as concrete cracks in civil and transport infrastructure has the potential to make inspections less expensive, quicker, safer and more objective by reducing the need for on-site human labour. One deployment scenario involves using a drone to carry an embedded device and camera, with the device making localised predictions at the edge about the existence of defects using a trained convolutional neural network (CNN) for image classification. In this paper, we trained six CNNs, namely Resnet18, Resnet50, GoogLeNet, MobileNetV2, MobileNetV3-Small and MobileNetV3-Large, using transfer learning technology to classify images of concrete structures as containing a crack or not.