Protein misfolding and aggregation is a critically important feature in many devastating neurodegenerative diseases, therefore characterization of the CSF concentration profiles of selected key forms and morphologies of proteins involved in these diseases, including β-amyloid (Aβ) and α-synuclein (a-syn), can be an effective diagnostic assay for these diseases. CSF levels of tau and Aβ have been shown to have great promise as biomarkers for Alzheimer’s disease. However since the onset and progression of many neurodegenerative diseases have been strongly correlated with the presence of soluble oligomeric aggregates of proteins including various Aβ and a-syn aggregate species, specific detection and quantification of levels of each of these different toxic protein species in CSF may provide a simple and accurate means to presymptomatically diagnose and distinguish between these diseases. Here we show that the presence of different protein morphologies in human CSF samples can be readily detected using highly selective morphology specific reagents in conjunction with a sensitive electronic biosensor. We further show that these morphology specific reagents can readily distinguish between post-mortem CSF samples from AD, PD and cognitively normal sources. These studies suggest that detection of specific oligomeric aggregate species holds great promise as sensitive biomarkers for neurodegenerative disease.

International audienceInertial measurement units (IMU) are essentially a combination of acceleration and rotation rate sensors, generating position and attitude information. For tactical and strategic applications, traditional macro-scale technologies are currently employed, owing to their very high accuracies and low drift. But they are very bulky and power consuming. Recent advancements in micro-electro-mechanical-systems (MEMS) technology together with smart data fusion techniques have enabled us to explore MEMS based IMUs, which is the subject of this paper

In this article, the Authors have demonstrated and analyzed various analog/RF and linearity performance of a AlGaN/GaN gate recessed MOSHEMT (GR-MOSHEMT) grown on a Si substrate with mathematical modeling based TCAD simulation. Specifically, a Al2O3 dielectric GR-MOSHEMT has shown tremendous potential in terms of AC/DC figure of merits (FOM's) such as low leakage current, high transconductance, high Ion/Ioff current ratio and excellent linear properties corresponding to conventional AlGaN/GaN HEMT and MOSHEMT. The figure-of-merit metrics such as VIP2, VIP3, IIP3 and IDM3 are performed for different drain to source voltages (VDS) of 2.5V, 5V and 10V. All the modeling and simulation results are generated by Commercial Silvaco TCAD and found to be satisfactory in terms of high frequency and power applications. The present GR-MOSHEMT device shows a superior performance with a threshold voltage of 0.5V, Current density of 888 mA, high transconductance of 225 mS/mm and high unit gain cut-off frequency of 0.91GHz. The results of the developed AlGaN/GaN GR-MOSHEMT considerably improves the device performance and also suitable for high power distortion less RF applications.

International audienceInertial Measurement Units (IMU) are essentially a combination of acceleration and rotation rate sensors, generating acceleration and attitude information. For strategic applications, like outer space launchers, traditional macro-scale technologies are currently employed, owing to their very high accuracies and low drift. But they are very bulky and power consuming. Recent advancements in MEMS technology have enabled us to explore micro-electro-mechanical-systems (MEMS) based IMUs for demanding applications, which is the subject of this paper

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