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Digital Technology for Immersive Nature-Based Experiential Learning (2022-114)
Led by Ralph Brueggemann, the University of Cincinnati has developed a concept that integrates a digital technology device with sensors and nature-based small-scale ecosystems. The technology resides in the global outdoor education market, which is expected to grow from $538.6 billion to $1110.63 billion by 2028.
The digital technology can be used...
Published: 9/1/2023
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Updated: 8/30/2023
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Inventor(s): Ralph Brueggemann
Keywords(s):
Category(s): Technology Classifications > Sensors > Agribusiness-Environmental, Technology Classifications > Software-IT > Consumer, Technology Classifications > Life Sciences > Agriculture, Technology Classifications > Software-IT, Technology Classifications > Sensors, Technology Classifications > Life Sciences
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Calibration-Free and Basal Level Sensing Aptasensor
Aptamer-based sensors selectively detect and measure a wide variety of molecules. When the target molecule is present, it binds to a specifically designed aptamer probe which creates a measurable electrochemical signal. Due to their specificity and selectivity, these sensors are useful for clinical diagnostics, food sample analysis, and environmental...
Published: 8/30/2023
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Updated: 8/30/2023
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Inventor(s): Robert Lazenby, Sierra Mize, Ryan White
Keywords(s):
Category(s): Technology Classifications > Sensors, Technology Classifications > Sensors > Agribusiness-Environmental, Technology Classifications > Sensors > Health-related Sensors
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Breath analysis for disease diagnosis
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Drs. Anastasios Angelopoulos and Jonathan A. Bernstein have developed a new optical sensor that could enable nearly instantaneous chemical measurement of human breath. The tool is simple and non-invasive, which...
Published: 8/30/2023
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Updated: 8/30/2023
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Inventor(s): Jonathan Bernstein, Anastasios Angelopoulos
Keywords(s): Biological Biomarker, Breath Analysis, Chemical Detection, Disease Diagnosis, Healthcare
Category(s): Technology Classifications > Sensors > Health-related Sensors, Technology Classifications > Sensors > Agribusiness-Environmental, Technology Classifications > Life Sciences > Diseases & Disorders > Diabetes-related, Technology Classifications > Sensors, Technology Classifications > Life Sciences, Technology Classifications > Life Sciences > Diseases & Disorders
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