Publications
Seeking Recyclable Closure for Paper Beverage Bottles |
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We are seeking technologies for a re-closable fiber-based closure for a paper beverage bottle that can be recycled in the paper stream. |
Seeking Glue-free and Plastic-free closure of paper packaging |
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We are looking for a technology to seal paper packaging materials (paper only with no plastic coating) without using traditional glues or any other additive. For a sustainable packaging application, we're looking for a technology to seal or crimp kraft paper without using glue or plastic coating applied on the paper. Ideally, we want to seal 100% untreated paper without adding any other chemicals. Our preferred solution would be a folding of the packaging material |
Seeking existing market solutions targeted towards crawling insects |
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The issue of crawling insects in homes has been an ongoing issue. The popular types of crawling insects causing problems have been ants and cockroaches. The search will focus on existing market solutions targeted towards crawling insects such as ants and cockroaches (other types of crawling insects are in scope i.e., bed bugs). |
New COVID-19 Screening Method |
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The early and efficient detection of COVID-19 cases remains an unresolved issue. The detection of cases affected by COVID-19 is based on symptoms or contact tracing. But 60% of COVID-19 cases are asymptomatic or have few and unspecific symptoms. It is therefore difficult to diagnose them as they do not consult the health system; however, they are able to transmit the virus. |
Sensor capable of detecting sulphur compounds in wines |
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Researchers from the University of Burgos have developed a method capable of detecting sulphur compounds, specifically mercaptans, in wines. This new methodology allows analysis to be carried out quickly and with high sensitivity. Furthermore, the proposed electrochemical method is characterized by its low cost and portability. |
Systems and Methods for Screening Obstructive Sleep Apnea During Wakefulness |
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The invention and device employs a novel and inventive decision‑making algorithm, called AWakeOSA, that uses anthropometric information and a few minutes of tracheal breathing sounds recorded during wakefulness to identify OSA individuals in need of treatment. This algorithm considers the confounding anthropometric effects on the breathing sounds and uses them to predict the severity of OSA in a subgroup with a similar confounding variable. |
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