Papers – Page 3 – TechConnect Briefs

Novel pretreatment strategies of algal biomass for the production of bioethanol

, Qatar University, QA

Bioethanol is a liquid biofuel that is sustainable and environmentally friendly [19]. However, the production and commercialization of bioethanol is primarily focused on first-generation food crops such as sugarcane, maize and beet, which can lead [...]

Therapeutic nanoparticle treatment for acute kidney injury

Hughes E., Van Keuren E., Houser B., Gong J., Kang P., Georgetown University, US

Acute kidney injury (AKI) is a common surgery complication caused by an overproduction of reactive oxygen species (ROS), primarily hydrogen peroxide, in the body. Despite the prevalence and severity of this condition, there is currently [...]

Maldivian traditional medicine: sarubath

Naila A., The Maldives National University, MV

Maldivian traditional medicine has been used since ancient times in the Maldives. The purpose of the medicine use include to cure the common cold and other ailments. However, no studies to date has been conducted [...]

Novel Nanoparticle Contrast Agents for Magnetic Resonance Imaging

Van Keuren E., Stoll S., Dahanayake V., Lyons T., Glaser P., Albanese C., Rodriguez O., Fricke S., Georgetown University, US

Magnetic resonance imaging (MRI) is an important diagnostic tool in both clinical and research environments. In order to improve sensitivity, contrast agents (CAs) are often administered prior to or during imaging sessions. We have been [...]

Increase ACE2 Concentrations Embedded in the Memristive Electrochemical Sensor Membranes Promote Direct Reagent-free Sensing S1 Antigen of SARS-Cov2 Virus

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

Fast and precise detection of the presence of a single SARS-Cov2 virus particle is a very challenging topic because of protein interference. We developed new types of memristive electrochemical sensors with embedded angiotensin-converting enzyme 2 [...]

Automated Classification of Defected Images by Means of Machine Learning for Improved Analysis of Vehicle Undercarriages

Giegerich W.V., Stone A., Forte III L., Schneider P.J., Oh K.W., University at Buffalo, US

This research focuses on the development of a vehicle undercarriage image quality machine learning model. The model returns the quality of the image across several categories which are used for classifying image defects. Through analysis [...]

Real-time Multi-Modality Clinical Decision Support Platform: An Overview of Incorporating Deep Learning within Multi-Modality Fusion Framework in HealthCare

Kia A., Timsina P., Mount Sinai Health System, US

Synopsis Every second, modern health care ecosystem is generating a wide range of clinical data format including structured, unstructured, image, and high-frequency waveform data. The volume of data is also growing at an exponential rate. [...]

Flexible AI for real-world environments

Achler T., Optimizing Mind, US

AI remains less capable compared to humans at quickly accumulating knowledge without forgetting what they previously learned. Everything that might happen in the robot’s work environment must be in the training set and rehearsed in [...]

Athlete Engineering BaseLine Ecosystem: innovative technologies to enhance human performance

Luczak T., Burch R., Nelsen P., Freeman C., Chander H., Ball J., Jones J.A., Barlow J., Saucier D., Duclos M., Grice S., Taquino M., Mississippi State University, US

The Athlete engineering BaseLine Ecosystem (AeBLE) is a collection of integrated innovations impacting human performance, health, and wellness. AeBLE integrates artificial intelligence-driven mobile markerless motion capture, embedded wearable sensors, and augmented and virtual immersive technologies [...]

Post-Process Superfinishing of Additively Manufactured Components with Complex Geometries and Internal Features

Shealy R., Michaud N., Diaz A., REM Surface Engineering, US

Additive Manufacturing (AM) is revolutionizing many industries, including the aerospace and space industries. AM allows for rapid printing, greatly reduced lead times, and complex designs/features not possible via traditional manufacturing. Additionally, AM has facilitated a [...]