we searched the circRic database to gather data on the correlations between circRNAs and drug sensitivities, while the GDSC database contains information about drug sensitivities. The initial data set covers 80,076 associations related to 404 circRNAs and 250 drugs. The Wilcoxon test was used to determine the significant circRNA-drug sensitivity correlations. The procedure was contingent upon the false discovery rate (FDR) being less than 0.05.

This dataset consists of 462 field of views of Giemsa(dye)-stained and field(dye)-stained thin blood smear images acquired using an iPhone 10 mobile phone with a 12MP camera. The phone was attached to an Olympus microscope with 1000× objective lens. Half of the acquired images are red blood cells with a normal morphology and the other half have a Rouleaux formation morphology.

We developed, implemented, and assessed the performance of two forms of plug-in type repetitive controllers (RC) for enhancing the transparency of a lower extremity exoskeleton that operates to support walking function. One controller is a first order RC (SING) consisting of a single period matched to the self-selected cadence of the participant. The second is a novel 'parallel' RC (PARA) which consists of a library of integrated RCs with varying periods, intended to accommodate a wider range of gait cycle times.

This paper presents a dataset of brain Electroencephalogram (EEG) signals created when Malayalam vowels and consonants are spoken. The dataset was created by capturing EEG signals utilizing the OpenBCI Cyton device while a volunteer spoke Malayalam vowels and consonants. It includes recordings obtained from both sub-vocal and vocal. The creation of this dataset aims to support individuals who speak Malayalam and suffer from neurodegenerative diseases.