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Use of Ozone and Infrared Heating as a Pre-treatment for Drying Fruit

Sequential ozone and infrared pre-treatments prior to hot air drying of fruit inactivates enzymes responsible for fruit browning, and concurrently reduces microbial contamination risk and air drying time.

Inhibitors of Bromodomain and Extra-Terminal (BET) Family Proteins as Potential Treatments for Drug-Resistant Tumors

Researchers at the University of California, Davis have developed small molecule inhibitors for use in treating drug-resistant tumors – including cancerous tumors.

Risk Assessment Tool for Bovine Respiratory Disease in Dairy Calves

Researchers at the University of California, Davis have developed a system to assess, estimate and devise a comprehensive control and prevention plan for bovine respiratory disease in pre-weaned dairy calves.

Fumigant Detoxification via Reusable Cotton Material

Researchers at the University of California, Davis have developed wearable, highly adsorptive, cotton fabrics that can neutralize fumigants in both open-air and sequestered environments.

Group 13 Metals as Anolytes in Non-Aqueous, Redox Flow Batteries

Researchers at the University of California, Davis have identified earth abundant and other relatively inexpensive materials that form the basis of novel molecules (anolytes), with long lifecycles and high energy densities, to be used in redox flow batteries.

A Recombinant Cell Bioassay for Detecting Inhibitors/ Activators of Estrogen Receptors Alpha and Beta

Researchers at the University of California, Davis have developed a recombinant human ovarian cell line that expresses both alpha and beta estrogen receptors and contains an estrogen-responsive, firefly luciferase reporter gene.

Real-time Monitoring Technique for Detecting Insect Activity in Stored Grains

Researchers at the University of California, Davis have developed a wireless imaging technique capable of the real-time monitoring of insect activity in stored grains.

Automated Emotion Recognition using Facial Features

Researchers at the University of California, Davis have developed a deep learning-based technology that analyzes facial images to distinguish seven human emotions.