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High Performance Switches and Routers
The architecture of the Internet: present and future is illustrated with a comparison of Router Architectures, Switch Fabric Classification, and the implementation of the Karol's Algorithm for Clos Network matching.
Tweets are forever: a large-scale quantitative analysis of deleted tweets
Some significant differences were discovered in the clients used to post them, their conversational aspects, the sentiment vocabulary present in them, and the days of the week they were posted, but in other dimensions for which analysis was possible, no substantial differences were found.
Follow My Recommendations: A Personalized Privacy Assistant for Mobile App Permissions
A field study in which a Personalized Privacy Assistant (PPA) was implemented and evaluated with participants using their own Android devices, and it is found that 78.7% of the recommendations made by the PPA were adopted by users.
Modeling Users' Mobile App Privacy Preferences: Restoring Usability in a Sea of Permission Settings
It is shown that, while people’s mobile app privacy preferences are diverse, it is possible to identify a small number of privacy profiles that collectively do a good job at capturing these diverse preferences.
Reconciling mobile app privacy and usability on smartphones: could user privacy profiles help?
A study analyzing people's privacy preferences when it comes to granting permissions to different mobile apps suggests that, while people's mobile app privacy preferences are diverse, a relatively small number of profiles can be identified that offer the promise of significantly simplifying the decisions mobile users have to make.
Elevated body burdens of PBDEs, dioxins, and PCBs on thyroid hormone homeostasis at an electronic waste recycling site in China.
The results suggest that electronic waste (e-waste) recycling contributes to high body burdens of PBDEs, PCDD/Fs, and PCBs and affects thyroid hormone homeostasis in humans and the potential health risk for neonates still needs further investigation.
Efficient Privilege De-Escalation for Ad Libraries in Mobile Apps
PEDAL is evaluated on a large set of apps from the Google Play store and it is demonstrated that it has a 98% accuracy in detecting ad libraries and imposes less than 1% runtime overhead on apps.
A novel modeling approach of aluminum foam based on MATLAB image processing
A competitive indirect enzyme-linked immunoassay for lead ion measurement using mAbs against the lead-DTPA complex.
Predicting the Remaining Useful Life of an Aircraft Engine Using a Stacked Sparse Autoencoder with Multilayer Self-Learning
A deep learning approach to predict the RUL of an aircraft engine based on a stacked sparse autoencoder and logistic regression and the grid search method is introduced in this paper to optimize the hyperparameters of the proposed aircraft engine RUL prediction model.