Publications by authors named "Rusheng Pan"

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).

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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.

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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.

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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.

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