Connecting Research and Experts with Journalists

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Science can be difficult to explain to the public. Explaining a theoretical science concept to high school students requires a new way of thinking altogether, which is precisely what researchers at UC San Diego did when they orchestrated a dance with high school students at Orange Glen High School in Escondido as a way to explain topological insulators. The experiment was led by former graduate student Matthew Du and UC San Diego Associate Professor of Chemistry and Biochemistry Joel Yuen-Zhou.

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Scientists from Immanuel Kant Baltic Federal University showed that spraying of selenium stimulates the growth of garden sage – a plant, that is used in medicine for treatment of inflammations and diseases of gastrointestinal tract. In this case plants treated by selenium showed the improvement of antioxidative properties, raise of the speed of photosynthesis by 67%, and also increase of sugar content, amino acids and proteins. Thus, the obtained information enables to raise crop yield and pharmaceutical value of garden sage. Results of the research supported by the grant of Russian Scientific (RNF), are published in the journal Scientia Horticulturae.

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Led by Dr. Jae Sung Yoon at the Korea Institute of Machinery and Materials (KIMM), and Ph.D. candidate Nguyen Hoang Minh from the UST-KIMM School, the research team drew inspiration from the structural coloration observed in natural phenomena such as peacock feathers and morpho butterflies.

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A new Australian study published in Diabetologia this week has found that overnight eating may be putting night shift workers at higher risk of chronic health conditions.

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Texas A&M AgriLife researchers uncovered a promising target for controlling gene expression and other cellular processes, which could lead to advancements in crop resilience and our understanding of certain human diseases.

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University of Wisconsin–Madison researchers are warning that artificial intelligence tools gaining popularity in the fields of genetics and medicine can lead to flawed conclusions about the connection between genes and physical characteristics, including risk factors for diseases like diabetes.The faulty predictions are linked to researchers’ use of AI to assist genome-wide association studies.