High-Quality Nursing and Intraoperative Cooperation Effectively Reduce the Occurrence of Adverse Reactions for Patients with ST-elevation Myocardial Infarction.

Objective: This study aimed to explore the application effectiveness of intraoperative coordination and nursing in the interventional treatment of patients with ST-segment elevation myocardial infarction (STEMI). Specifically, the study sought to investigate the specific protocols or practices within the systematic nursing collaboration approach and their impact on patient outcomes.

Methods: A total of 60 STEMI patients treated in our hospital from April 2019 to June 2020 were randomly assigned to either the routine care group (n=30) or the systematic nursing collaboration group (n=30).

Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks.

A computational graph in a deep neural network (DNN) denotes a specific data flow diagram (DFD) composed of many tensors and operators. Existing toolkits for visualizing computational graphs are not applicable when the structure is highly complicated and large-scale (e.g.

Umbra: A Visual Analysis Approach for Defense Construction Against Inference Attacks on Sensitive Information.

Collecting and analyzing anonymous personal information is required as a part of data analysis processes, such as medical diagnosis and restaurant recommendation. Such data should ostensibly be stored so that specific individual information cannot be disclosed. Unfortunately, inference attacks-integrating background knowledge and intelligent models-hinder classic sanitization techniques like syntactic anonymity and differential privacy from exhaustively protecting sensitive information.

GraphProtector: A Visual Interface for Employing and Assessing Multiple Privacy Preserving Graph Algorithms.

Analyzing social networks reveals the relationships between individuals and groups in the data. However, such analysis can also lead to privacy exposure (whether intentionally or inadvertently): leaking the real-world identity of ostensibly anonymous individuals. Most sanitization strategies modify the graph's structure based on hypothesized tactics that an adversary would employ.