Abstract Background This paper explores ethical concerns arising in healthcare Drinks integration.We argue that integration is necessary imperative for meeting contemporary and future healthcare challenges, a far stronger evidence base for the conditions of its effectiveness is required.In particular, given the increasing emphasis at the policy lev
Problem: Previous studies had confirmed that some deep learning models had Soft Toy high diagnostic performance in staging liver fibrosis.However, training efficiency of models predicting liver fibrosis need to be improved to achieve rapid diagnosis and precision medicine.Aim: The deep learning framework of EfficientNetV2-S was noted because of its
To identify methods of improving the evidence base in smaller surgical specialties, using a systematic review of gastroschisis management as an example.Operative primary fascial closure (OPFC), and silo placement with staged reduction and delayed closure (SR) are the most commonly used methods of gastroschisis closure.Relative merits of each are un
Most knowledge payment platforms are keen to adopt a business model based on transaction revenue and water bottle advertising revenue.However, challenge with platforms has been to balance the interests of advertisers as well as their consumers.Increasing of advertising revenue, by having more advertisers may lead to higher consumers’ aversio
A new image enhancement algorithm employing guided filtering is proposed in this work for enhancement of solar images home and videos, so that users can easily figure out important fine structures imbedded in the recorded images/movies for solar observation.The proposed algorithm can efficiently remove image noises, including Gaussian and impulse n