Papers – Page 4 – TechConnect Briefs

Focused Transcranial Magnetic Stimulation

Carmona I., Kumbhare D., Baron M., Hadimani R.L., Virginia Commonwealth University, US

Transcranial Magnetic Stimulation is a non-invasive technique used to regulate the synaptic activity of neurons, improving the functionality of several regions and bringing effective treatment to neurological and psychiatric disorders applying external time-varying magnetic fields [...]

Exploring Bacterial Interactions of Expanded-PTFE in the Presence of PVP-coated Silver Nanoparticles, Peptides p753 and p359 in 2D and 3D models

Finkle M., Meléndez Navarro P., Vig K., University of Nevada-Las Vegas, US

Tissue engineering is recognized as an avenue to improve treatment for various diseases. Expanded-PTFE (ePTFE) has gained popularity as a tissue scaffold to develop a vascular graft for generating blood vessels in cardiac surgeries. However, [...]

An Investigation into the Effectiveness of Dielectric Barrier Discharge Plasma for the Transformation of Linear Siloxanes from Gas to Solid Phase

Tahiyat M.M., Heagen L., Hill J., Guyton B., Farouk T.I., Hoque S., University of South Carolina, US

Atmospheric pressure dielectric barrier discharge plasma operating in tetramethyltrisiloxane (L3)-helium gas mixture was studied as a prospective method for the reformation of the organosilicon compounds in the carrier stream. L3 belongs to a family of [...]

Innovative Multi-Mode Vapor Thermal Desorption Devices

Tolley W., Patel S.V., Seacoast Science, Inc, US

Use of thermal desorption techniques is an established method for environmental and industrial hygiene studies of noxious vapors and their effects on health. Utility of the thermal desorption technique, however, has been hampered by rudimentary [...]

Automated Image Processing and Analysis Tools for DNA Origami Nanostructure Characterization by Atomic Force Microscopy

Chiriboga M., Díaz S.A., Medintz I.L., United States Naval Research Laboratory, US

The DNA origami technique is highly utilized in the DNA nanotechnolgy field for its ability to self-assemble geometric architectures with near atomic precision. The structural fidelity will vary depending on the assembly reaction conditions. Therefore, [...]

Benefits of a Decentralized AI

Bergstrom M., Internet of Everything Corporation, US

The benefits of AI can not be contested, but today’s AI solutions are based on the need of transporting the problem data to a centralized crunch facility on the internet, a so called cloud computing [...]

Experimental Observations of Majorana Particles Produced in Arrays of Fractional Josephson Junctions in An Organo-metallic Superconductive Device

Chen E.T., Thornton J.T., Duh S-H, Advanced Biomimetic Sensors, Inc., US

Majorana particle or Majorana fermion (MF) at its exotic state is its anti-particle may be beneficial as a qubit for topological quantum computing. We report experimental observations of Majorana fermions at their zero-energy bound state [...]

Using Robotics to Assemble Graphene Supercapacitor

Wu C., Wu S., Kim J., Magluyan D., Kawamoto-Kindred D., Zhou Y.H., Cao N., Zhao H., Kuang Z., Kidd T., Wu C., Wu S., Dobbs S., California State Polytechnic University, Pomona, US

Robotics is a field that seeks to use more precise and accurate mechanical manipulation to improve the speed, efficiency, and safety of certain tasks where human actions would be more of a liability than a [...]

Machine Learning Based Detection and Deep Learning Based Image Inpainting of Preparation Artefacts in Micrographs

Jansche A., Choudhary A.K., Bernthaler T., Schneider G., Aalen University, DE

Artefacts like stains or scratches introduced during the metallographic sample preparation process are a problem for manual as well as automatic image analysis. We show the use of image inpainting – normally used for reconstruction [...]

Machine Learning for Microstructures Classification in Functional Materials

Choudhary A.K., Jansche A., Grubesa T., Bernthaler T., Schneider G., Aalen University, DE

The search for novel magnetic phases requires efficient quantitative microstructure analysis to extract microstructural information and to correlate it with its intrinsic magnetic parameters. Kerr micrographs of magnets hold vital information for analysing the distribution [...]