Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting

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Cyclic peptides are attractive for drug discovery due to their excellent binding properties and the potential to cross cell membranes. However, by far not all cyclic peptides are cell permeable, and measuring or predicting their membrane permeability is no ...

Objective To develop and validate a wrist‐worn accelerometer‐based, deep‐learning tunable algorithm for the automated detection of generalized or bilateral convulsive seizures (CSs) to be integrated with off‐the‐shelf smartwatches. Methods We conducted a ...

The process of protein aggregation, central to neurodegenerative diseases like Huntington’s, is challenging to study due to its unpredictable nature and relatively rapid kinetics. Understanding its biomechanics is crucial for unraveling its role in disease ...

When a plasma disrupts in a tokamak, significant heat and electromagnetic loads are deposited onto the surrounding device components. These forces scale with plasma current and magnetic field strength, making disruptions one of the key challenges for futur ...

Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting

Chat with Graph Search

Bulk measurement of membrane permeability for random cyclic peptides in living cells to guide drug development

Deep learning–based detection of generalized convulsive seizures using a wrist‐worn accelerometer

Self-driving microscopy detects the onset of protein aggregation and enables intelligent Brillouin imaging

Plasma state monitoring and disruption characterization using multimodal VAEs