Some novel concepts of intuitionistic fuzzy directed graphs with application in selecting a suitable place for opening restaurant.

In this manuscript, we first initiate several types of effective arcs of intuitionistic fuzzy directed graphs, followed by discussions on different types of dominations in intuitionistic fuzzy directed graphs and their application in decision-making. The notion of dominations in fuzzy graphs, fuzzy directed graphs, intuitionistic fuzzy graphs and picture fuzzy graphs have been extensively discussed in the literature. Thus, the work presented in our study is two-fold: on one side, it extends the notion of domination in fuzzy directed graphs, while on the other side, it fills the gap existing in the literature.

Asian Pacific Society of Cardiology Position Statement on the Use of Transcatheter Aortic Valve Implantation in the Management of Aortic Stenosis.

Transcatheter aortic valve implantation (TAVI) has been established as an effective treatment modality in patients with severe aortic stenosis (AS) and the uptake of TAVI is rapidly growing in the Asia-Pacific region. However, there exist a heterogeneity in the management of aortic stenosis and the use of TAVI among countries in the region. Reasons for these differences include anatomic variations, disparity in healthcare resources and infrastructure, and the lack of consensus on the optimal management of AS in the Asia-Pacific region.

Durvalumab with or without bevacizumab with transarterial chemoembolisation in hepatocellular carcinoma (EMERALD-1): a multiregional, randomised, double-blind, placebo-controlled, phase 3 study.

Background: Transarterial chemoembolisation (TACE) is standard of care for patients with unresectable hepatocellular carcinoma that is amenable to embolisation; however, median progression-free survival is still approximately 7 months. We aimed to assess whether adding durvalumab, with or without bevacizumab, might improve progression-free survival.

Methods: In this multiregional, randomised, double-blind, placebo-controlled, phase 3 study (EMERALD-1), adults aged 18 years or older with unresectable hepatocellular carcinoma amenable to embolisation, an Eastern Cooperative Oncology Group performance status of 0 or 1 at enrolment, and at least one measurable intrahepatic lesion per modified Response Evaluation Criteria in Solid Tumours (RECIST) were enrolled at 157 medical sites including research centres and general and specialist hospitals in 18 countries.

Partial Attention in Global Context and Local Interaction for Addressing Noisy Labels and Weighted Redundancies on Medical Images.

Recently, the application of deep neural networks to detect anomalies on medical images has been facing the appearance of noisy labels, including overlapping objects and similar classes. Therefore, this study aims to address this challenge by proposing a unique attention module that can assist deep neural networks in focusing on important object features in noisy medical image conditions. This module integrates global context modeling to create long-range dependencies and local interactions to enable channel attention ability by using 1D convolution that not only performs well with noisy labels but also consumes significantly less resources without any dimensionality reduction.