Machine learning approach to detect dynamical states from recurrence measures.

We integrate machine learning approaches with nonlinear time series analysis, specifically utilizing recurrence measures to classify various dynamical states emerging from time series. We implement three machine learning algorithms: Logistic Regression, Random Forest, and Support Vector Machine for this study. The input features are derived from the recurrence quantification of nonlinear time series and characteristic measures of the corresponding recurrence networks.

Perineurioma -a rare cause of proptosis.

Perineurioma is a rare benign soft tissue tumor arising from the peripheral nerve sheath. To date only two cases of orbital perineurioma have been reported in literature. A 45-year-old, with no comorbidities, presented with protrusion of the right eye since one-year.

Therapeutic potential of targeting microRNA-10b in established intracranial glioblastoma: first steps toward the clinic.

MicroRNA-10b (miR-10b) is a unique oncogenic miRNA that is highly expressed in all GBM subtypes, while absent in normal neuroglial cells of the brain. miR-10b inhibition strongly impairs proliferation and survival of cultured glioma cells, including glioma-initiating stem-like cells (GSC). Although several miR-10b targets have been identified previously, the common mechanism conferring the miR-10b-sustained viability of GSC is unknown.