Kyoto, Japan -- Imagine you're cooking. You're trying to develop a unique flavor by mixing spices you've never combined before. Predicting how this will turn out could be tricky. You want to create something delicious, but it could end up tasting awful: a waste of time and ingredients.

But what if you had a machine that could tell you exactly how your concoctions will turn out? That's the kind of technology that researchers at Kyoto University have developed for the band gap of semiconductor materials.

New such materials are constantly sought after in the development of new devices and improved performance. The most important factor in determining the properties of semiconductors is the band gap, so accurate predictions are essential.

Unresectable canine hepatocellular carcinoma (HCC) has limited nonsurgical treatment options. Sorafenib is a targeted therapy for unresectable canine HCC. However, there are limited reports on the expression of target genes. Therefore, the efficacy of the targeted therapies for canine HCC remains unclear.

Because of climate change, harmful algal blooms are increasing in frequency and intensity. New science helps demystify the frequent harmful algal blooms in the Pacific off the coast of Chile by studying how algae species interact with each other and their environment.