Characterization of the Anisotropic Electrical Properties of Additively Manufactured Structures Made from Electrically Conductive Composites by Material Extrusion.

Additive manufacturing (AM) of components using material extrusion (MEX) offers the potential for the integration of functions through the use of multi-material design, such as sensors, actuators, energy storage, and electrical connections. However, there is a significant gap in the availability of electrical composite properties, which is essential for informed design of electrical functional structures in the product development process. This study addresses this gap by systematically evaluating the resistivity (DC, direct current) of 14 commercially available filaments as unprocessed filament feedstock, extruded fibers, and fabricated MEX-structures.

Influence of Manufacturing Process on the Conductivity of Material Extrusion Components: A Comparison between Filament- and Granule-Based Processes.

The additive manufacturing of components using material extrusion (MEX) enables the integration of several materials into one component, including functional structures such as electrically conductive structures. This study investigated the influence of the selected additive MEX process on the resistivity of MEX structures. Specimens were produced from filaments and granules of an electrically conductive PLA and filled with carbon nanotubes and carbon black.

Influence of Process Parameters in Material Extrusion on Product Properties Using the Example of the Electrical Resistivity of Conductive Polymer Composites.

Additive manufacturing of components using the material extrusion (MEX) of thermoplastics enables the integration of multiple materials into a single part. This can include functional structures, such as electrically conductive ones. The resulting functional structure properties depend on the process parameters along the entire manufacturing chain.

Longterm course of neuropsychological symptoms and ME/CFS after SARS-CoV-2-infection: a prospective registry study.

A significant proportion of patients after SARS-CoV-2 infection suffer from long-lasting symptoms. Although many different symptoms are described, the majority of patients complains about neuropsychological symptoms. Additionally, a subgroup of patients fulfills diagnostic criteria for ME/CFS.

Variations and Predictors of Post-COVID Syndrome Severity in Patients Attending a Post-COVID Outpatient Clinic.

A relevant proportion of patients suffer from long-lasting impairments following an acute SARS-CoV-2 infection. The proposed post-COVID syndrome (PCS) score may improve comparison in the course and classification of affected patients. A prospective cohort of 952 patients presenting to the post-COVID outpatient clinic at Jena University Hospital, Germany, was enrolled.

Evaluation of Ultrasound-based Surveillance for Hepatocellular Carcinoma in Patients at Risk: Results From a German Multicenter Retrospective Cohort Study.

Background And Aims: Hepatocellular carcinoma (HCC) surveillance in patients at risk is strongly recommended and usually performed by ultrasound (US) semiannually with or without alfa-fetoprotein (AFP) measurements. Quality parameters except for surveillance intervals have not been strictly defined. We aimed to evaluate surveillance success and risk factors for surveillance failure.

Patient awareness of the risks for heart disease posed by air pollution.

Background: The purpose of this study was to assess patient awareness of the coronary heart disease (CHD) risks posed by air pollution.

Methods: We distributed a questionnaire to 500 patients at a University of Michigan cardiology clinic.

Results: More than half of patients (n = 264, 53%) did not believe that air pollution was "proven" or "likely" to cause CHD, whereas a similar percentage (n = 284, 57%) were not previously aware of its association with CHD.