100% renewables doesn't equal zero-carbon energy, and the difference is growing

While 160 companies around the world have committed to use "100 percent renewable energy," that does not mean "100 percent carbon-free energy." The difference will grow as power grids become less reliant on fossil power, according to a new Stanford study published today in Joule. Entities committed to fighting climate change can and should measure the environmental benefits of their renewable strategies accurately, the authors write.

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Deletion in mouse neutrophils offers clues to pathogenesis in multiple sclerosis

Multiple sclerosis is an autoimmune disease that damages the insulating sheaths of nerve cells of the central nervous system. People with the disease can lose vision, suffer weak limbs, show degenerative symptoms and exhibit impaired cognition.

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Vaccine is a cost-effective solution for countries burdened by typhoid

Introducing a typhoid conjugate vaccine (TCV) into routine child vaccine schedules and conducting a catch-up campaign to vaccinate all children up to age 15 is a cost-effective solution for many low- to middle-income countries severely burdened by typhoid, a new study led by researchers at the Yale School of Public Health finds.

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Childhood trauma tied to tooth loss later in life

Even if children grow up to overcome childhood adversity, the trauma they experience in early life causes them to be at greater risk for tooth loss, according to University of Michigan researchers.

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CycleMatch: a new approach for matching images and text

Researchers at Leiden University and the National University of Defense Technology (NUDT), in China, have recently developed a new approach for image-text matching, called CycleMatch. Their approach, presented in a paper published in Elsevier's Pattern Recognition journal, is based on cycle-consistent learning, a technique that is sometimes used to train artificial neural networks on image-to-image translation tasks. The general idea behind cycle-consistency is that when transforming source data into target data and then vice versa, one should finally obtain the original source samples.

* This article was originally published here