Mechanical Characterization of Ink-Jet Printed Ag Samples on Different Substrates

Part 6: Computational Systems ApplicationsInternational audienceIn this paper, the main activity was to investigate how different substrates, temperature of sintering and percentage of silver ink containing silver nanoparticles influence on Young’s modulus and hardness of printed silver thin samples. Samples were prepared by low cost ink-jet printing technique using Dimatix Material Printer on polyimide flexible substrate and slide glass. Characterization of these samples was carried out by Nano Indenter using a three sided pyramidal (Berkovich) diamond tip. Measurement results show that the thickness of ink-jet printed silver layer varies for different percent of nanoparticles in silver ink. All measurements were done at same depth of indentation to avoid possibility of perforation of printed layer. The higher temperature of sintering and the higher percent of silver nanoparticles give the bigger Young’s modulus and hardness of printed silver sample. This research provides very useful information about mechanical characterization of the silver layers on flexible substrates for printed-electronics

Reconstruction of intricate surfaces from scanning electron microscopy

This PhD thesis is concerned with the reconstruction of intricate shapes from scanning electron microscope (SEM) imagery. Since SEM images bear a certain resemblance to optical images, approaches developed in the wider field of computer vision can to a certain degree be applied to SEM images as well. I focus on two such approaches, namely Multiview Stereo (MVS) and Shape from Shading (SfS) and extend them to the SEM domain. The reconstruction of intricate shapes featuring thin protrusions and sparsely textured curved areas poses a significant challenge for current MVS techniques. The MVS methods I propose are designed to deal with such surfaces in particular, while also being robust to the specific problems inherent in the SEM modality: the absence of a static illumination and the unusually high noise level. I describe two different novel MVS methods aimed at narrow-baseline and medium-baseline imaging setups respectively. Both of them build on the assumption of pixelwise photoconsistency. In the SfS context, I propose a novel empirical reflectance model for SEM images that allows for an efficient inference of surface orientation from multiple observations. My reflectance model is able to model both secondary and backscattered electron emission under an arbitrary detector setup. I describe two additional methods of inferring shape using combinations of MVS and SfS approaches: the first builds on my medium-baseline MVS method, which assumes photoconsistency, and improves on it by estimating the surface orientation using my reflectance model. The second goes beyond photoconsistency and estimates the depths themselves using the reflectance model

Comparison of Feedback Influence on Ring Oscillator Performance for IR-UWB Pulse Generator in 0.13 μm and 0.18 μm CMOS Technologies

Part 20: Electronics: RF ApplicationsInternational audienceA CMOS three-stage ring oscillator is examined in UMC 0.13 μm and 0.18 μm technologies. The influence of PMOS transistor and resistor, as inverter feedbacks, on the ring oscillator frequency and the peak-to-peak amplitude is investigated in both technologies. Furthermore, as the ring oscillator usually drives a buffer in pulse generator/transmitter chain, dependence of its Figures of Merit on the buffer feedback is presented in the paper. Simulation results showed that the ring oscillator frequency is strongly dependent on the inverter feedback. The presented techniques can be used to increase (resistive feedback) and control (PMOS transistor feedback) the ring oscillator frequency. As the ring oscillator is a part of an IR-UWB (Impulse Radio Ultra Wide Band) pulse generator, its oscillating frequency determines the spectrum central frequency and has significant effect on spectrum fitting within UWB FCC mask

Novel tau filament fold in chronic traumatic encephalopathy encloses hydrophobic molecules

Chronic traumatic encephalopathy (CTE) is a neurodegenerative tauopathy that is associated with repetitive head impacts or exposure to blast waves. First described as punch-drunk syndrome and dementia pugilistica in retired boxers1-3, CTE has since been identified in former participants of other contact sports, ex-military personnel and after physical abuse4-7. No disease-modifying therapies currently exist, and diagnosis requires an autopsy. CTE is defined by an abundance of hyperphosphorylated tau protein in neurons, astrocytes and cell processes around blood vessels8,9. This, together with the accumulation of tau inclusions in cortical layers II and III, distinguishes CTE from Alzheimer's disease and other tauopathies10,11. However, the morphologies of tau filaments in CTE and the mechanisms by which brain trauma can lead to their formation are unknown. Here we determine the structures of tau filaments from the brains of three individuals with CTE at resolutions down to 2.3 Å, using cryo-electron microscopy. We show that filament structures are identical in the three cases but are distinct from those of Alzheimer's and Pick's diseases, and from those formed in vitro12-15. Similar to Alzheimer's disease12,14,16-18, all six brain tau isoforms assemble into filaments in CTE, and residues K274-R379 of three-repeat tau and S305-R379 of four-repeat tau form the ordered core of two identical C-shaped protofilaments. However, a different conformation of the β-helix region creates a hydrophobic cavity that is absent in tau filaments from the brains of patients with Alzheimer's disease. This cavity encloses an additional density that is not connected to tau, which suggests that the incorporation of cofactors may have a role in tau aggregation in CTE. Moreover, filaments in CTE have distinct protofilament interfaces to those of Alzheimer's disease. Our structures provide a unifying neuropathological criterion for CTE, and support the hypothesis that the formation and propagation of distinct conformers of assembled tau underlie different neurodegenerative diseases