The proliferation of phasor measurement units, albeit transformative to grid operations, increases the risk of cyber threats in power systems. One consequence of these cyber threats is incorrect operator actions based on misleading data. While a single wrong operator action might not result in a widespread blackout, a series of actions on critical lines and transformers, combined with pre-existing faults or scheduled maintenance, might. Traditionally,  controlled islanding prevents cascading failures. However, it is only effective when the received measurements are trustworthy.

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Any work using this dataset should cite the following paper:

Nirmalya Thakur, Isabella Hall, and Chia Y. Han, “Investigating the Emergence of Online Learning in Different Countries using the 5 W’s and 1 H Approach”, Proceedings of the 7th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications (IHIET-AI 2022), Lausanne, Switzerland, April 21-23, 2022

Abstract

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The dataset represents the negative interaction dataset of the Drugbank that has been generated from our proposed machine learning method based on drug similarity, which achieved an average accuracy of 95% compared to the randomly generated negative datasets in the literature. Drugbank was used as the drug target interaction dataset from https://go.drugbank.com/.

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127 Views

The dataset contains data collected on board games from the BoardGameGeek (BGG) website in Februay 2021. BGG is the largest online collection of board game data which consists of data on more than 100,000 total games (ranked and unranked). The voluntary online community contributes to the site with reviews, ratings, images, videos, session reports and live discussion forums on the expanding database of board games. This data set contains all ranked games as of the date of collection from the BGG database.

Instructions: 

The dataset is in .xlsx format and is readily accessible.

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The InSAR processing result,GPS result,gray model predicted result and Gray-Markov model predicted result 

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This dataset contains road networks used in experiments for DRL-Router, including Sioux Falls, Anaheim, Winnipeg and Barcelona.

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Indirect hand measurement processes have been used to improve remote accessibility and non-contact acquisition methods. This is particularly helpful when developing custom products, such as prostheses or gloves, to a user. Indirect hand measurements, however, may be difficult to acquire due to the requirement that certain specifications to be met. In the case of indirect measurement determination from 3D scans, obstructions may affect the observed outcome. This is especially true when using low-cost 3D scanners that have not been optimized for medical use.

Instructions: 

The data is provided in .xlsx Excel format. It contains one sheet that includes all the hand measurements corresponding with the devices used. Key measurements for each device are summarized in four .txt files, each belonging to a separate scanner. The .R file is included and contains the R code used for statistical analysis of the observed measurements. 

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This survey covers more than 150 published papers related to sub-6 GHz wideband LNAs from IEEE publications such as ISSCC, JSSC, TMTT, RFIC, MWCL, TCAS and NEWCAS published in the last 20 years. The considered LNAs are classified according to the technology node and its topology. The presented database is a useful tool for investigating technology trends and comparing the performance of common LNA design styles. 

Instructions: 

- The database is organized by technology and topology. 

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This directory contains the supplementary materials of the paper entitled "Meta-Path Based Gene Ontology Profiles for Predicting Drug-Disease Associations".

Instructions: 

There are two supplementary files provided here.

 1. Supplementary material S1 (*.csv) contains the list of known drug-disease associations used in this study. 

2. Supplementary material S2 (*.xlsx) contains the list of inferred drug-disease associations with their supporting evidence. 

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