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Building a culture of quality and integrity requires conversations across the scientific enterprise. Science is a complex ecosystem of funders, journals, academic administrators, scientific societies and researchers — the latter group including principal investigators, staff scientists, postdocs and graduate students. The interests of each group conflict as often as they overlap, and interactions tend to be stratified and constrained. Institutional presidents sit on working groups with each other but not with research-integrity officers. These officers attend conferences with each other, but not with faculty advisers and bench scientists. Journal editors meet scientists and other editors, but not institutional officers, on whom they rely for investigation when concerns about manuscripts arise.


Research needs an authoritative forum to hash out collective problems, argue C. K. Gunsalus, Marcia K. McNutt and colleagues. Research needs an authoritative forum to hash out collective problems, argue C. K. Gunsalus, Marcia K. McNutt and colleagues.

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Cancer cells are, in some respects, impressive: They can grow relentlessly, sidestep the aging process by becoming immortal, and evade the immune system’s persistent attacks. But in the process of acquiring such superpowers, the cells must occasionally relinquish other, more mundane skills—including the ability to produce certain nutrients.

Researchers at The Rockefeller University now announce the discovery of a rare tumor type that is unable to synthesize cholesterol, a molecule without which can’t survive.

“These cells become dependent on taking up cholesterol from their environment, and we can use this dependency to design therapies that block cholesterol uptake,” says Kivanç Birsoy, the Chapman Perelman Assistant Professor, who reports the findings in Nature.

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Scientists at the University of Virginia School of Medicine have identified a potential explanation for the mysterious death of specific brain cells seen in Alzheimer’s, Parkinson’s and other neurodegenerative diseases.

The new research suggests that the may die because of naturally occurring in brain cells that were, until recently, assumed to be genetically identical. This variation – called “somatic mosaicism” – could explain why in the are the first to die in Alzheimer’s, for example, and why are the first to die in Parkinson’s.

“This has been a big open question in neuroscience, particularly in various neurodegenerative diseases,” said neuroscientist Michael McConnell of UVA’s Center for Brain Immunology and Glia, or BIG. “What is this selective vulnerability? What underlies it? And so now, with our work, the hypotheses moving forward are that it could be that different regions of the brain actually have a different garden of these [variations] in and that sets up different regions for decline later in life.”

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The so-called “zombie disease” has been reported in deer, elk, and moose across 24 US states, according to a new warning by the US Centers for Disease Control and Prevention (CDC).

As of January 2019, at least 251 counties across the US, from northern Montana to southern Texas, have reported CWD in free-ranging cervids, members of the deer family. Farther afield, there are similar concerns for reindeer in Norway, Finland, and, to a lesser extent, South Korea.

Scientifically known as chronic wasting disease (CWD), the contagious neurological disease gets its sensational nickname because of its effect on the brain of cervids, including North American elk or wapiti, red deer, mule deer, black-tailed deer, white-tailed deer, sika deer, reindeer, and moose. Deer that have been struck with the disease suffer from drastic weight loss, abnormal behavior, stumbling, drooling, lack of coordination, aggression, excessive thirst, and a fear of others.

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NASA is accelerating plans to return Americans to the Moon, and this time, the US space agency says it will be there to stay.

Jim Bridenstine, NASA’s administrator, told reporters Thursday that the agency plans to speed up plans backed by President Donald Trump to return to the , using private companies.

“It’s important that we get back to the moon as fast as possible,” said Bridenstine in a meeting at NASA’s Washington headquarters, adding he hoped to have astronauts back there by 2028.

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Circa 2018


The experimental mastery of complex quantum systems is required for future technologies like quantum computers and quantum encryption. Scientists from the University of Vienna and the Austrian Academy of Sciences have broken new ground. They sought to use more complex quantum systems than two-dimensionally entangled qubits and thus can increase the information capacity with the same number of particles. The developed methods and technologies could in the future enable the teleportation of complex quantum systems. The results of their work, “Experimental Greenberger-Horne-Zeilinger entanglement beyond qubits,” is published recently in the renowned journal Nature Photonics.

Similar to bits in conventional computers, qubits are the smallest unit of in . Big companies like Google and IBM are competing with research institutes around the world to produce an increasing number of entangled qubits and develop a functioning quantum computer. But a research group at the University of Vienna and the Austrian Academy of Sciences is pursuing a new path to increase the information capacity of complex quantum systems.

The idea behind it is simple: Instead of just increasing the number of particles involved, the complexity of each is increased. “The special thing about our experiment is that for the first time, it entangles three photons beyond the conventional two-dimensional nature,” explains Manuel Erhard, first author of the study. For this purpose, the Viennese physicists used quantum systems with more than two possible states—in this particular case, the angular momentum of individual light particles. These individual photons now have a higher than qubits. However, the entanglement of these light particles turned out to be difficult on a conceptual level. The researchers overcame this challenge with a groundbreaking idea: a computer algorithm that autonomously searches for an experimental implementation.