Fin field-effect-transistor engineered sensor for detection of MDA-MB-231 breast cancer cells: A switching-ratio-based sensitivity analysis.

The present study describes the utilization of a gallium-arsenide gate-stack gate-all-around (GaAs-GS-GAA) fin field-effect transistor (FinFET) to accomplish the electrical identification of the breast cancer cell MDA-MB-231 by monitoring the device switching ratio. The proposed sensor uses four nanocavities carved beneath the gate electrodes for enhanced detection sensitivity. MDA-MB-231 (cancerous) and MCF-10A (healthy) breast cells have a distinct dielectric constant, and it changes when exposed to microwave frequencies spanning across 200 MHz and 13.

Detection of biomolecules in dielectric modulated double metal below ferroelectric layer FET with improved sensitivity.

In this work, we examined the double metal below ferroelectric layer FET that is double metal below negative capacitance field-effect transistor (DM-below-NCFET) for biosensing application and change in nanocavity gap with biomolecules as protein, (cholesterol oxidase), streptavidin, and uricase. For measuring the electrical characteristic and neutral biosensing such as threshold voltage, switching ratio () of the device which is higher than one without molecules by 1.52 times, sensitivity of protein enhanced by 1.

Assessment of distinct subcortical and cortical contributions to affect and approach/withdrawal behavior by means of resting-state functional connectivity approach.

The relevance of subcortical structures and interhemispheric subcortical-cortical interactions among positive/negative affect and approach/withdrawal tendencies during resting-state are not fully understood. Gaining this knowledge may foster the know-how on their role in subsequent task-engagement and also on the interlinkage among affective measures and approach/withdrawal dichotomy. Here we performed a study based on Region of Interest (ROI)-based analysis and graph-theory estimates for global and subnetworks on a limited sample of healthy 50 male volunteers who recorded resting functional magnetic resonance imaging (fMRI) and self-reported measures of Positive and Negative Affect Schedule (PANAS) and BAS-BIS (Behavioral Activation System-Behavioral Inhibition System) scores.

Microstates-based resting frontal alpha asymmetry approach for understanding affect and approach/withdrawal behavior.

The role of resting frontal alpha-asymmetry in explaining neural-mechanisms of affect and approach/withdrawal behavior is still debatable. The present study explores the ability of the quasi-stable resting EEG asymmetry information and the associated neurovascular synchronization/desynchronization in bringing more insight into the understanding of neural-mechanisms of affect and approach/withdrawal behavior. For this purpose, a novel frontal alpha-asymmetry based on microstates, that assess quasi-stable EEG scalp topography information, is proposed and compared against standard frontal-asymmetry.

Rapid detection of biomolecules in a dielectric modulated GaN MOSHEMT.

Biosensors are the devices that find application in almost every field nowadays. In this paper, GaN MOSHEMT based biosensor is proposed for detection of biomolecules such as ChOx, protein, streptavidin and Uricase. The effect of biomolecule species on the performance parameters of the device has been studied.

Effects of Neural Mechanisms of Pretask Resting EEG Alpha Information on Situational Awareness: A Functional Connectivity Approach.

Objective: In this study, the influence of pretask resting neural mechanisms on situational awareness (SA)-task is studied.

Background: Pretask electroencephalography (EEG) information and Stroop effect are known to influence task engagement independently. However, neural mechanisms of pretask resting absolute alpha (PRAA) and pretask resting alpha frontal asymmetry (PRAFA) in influencing SA-task which is undergoing Stroop effect is still not understood.