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In the flagship article, The ENCODE Project Consortium et al.5 provide a bird's-eye view of the updated encyclopedia, which contains newly added data sets from 6,000 experiments, performed on around 1,300 samples. By integrating these data sets, the consortium has created an online registry of candidate CREs. Most are classified as promoters or enhancers - CREs respectively located at or some distance from the genomic site at which transcription of a gene begins. The consortium tracked the activity of each candidate CRE, along with the proteins that bind to it in many different samples from various tissues. They used chromatin-looping data to link enhancers to genes that they might regulate. This online registry marks a true milestone, turning an overwhelming amount of genomic information into a searchable, filterable and retrievable encyclopedia of DNA elements, which is freely accessible at https://screen.encodeproject.org.

In an open marketplace, such as a farmers' market where produce and other goods like candles and flowers are exchanged for money, the ideal prices for both consumers and sellers will quickly emerge. For example, if a seller tries to offer a bag of peaches for $10 but another vendor is willing to sell similar peaches for $5, the lower price will eventually win out and become the norm. This phenomenon, which is related to the law of supply and demand, was demonstrated experimentally starting in the 1960s by Caltech alumnus and Nobel Laureate Vernon Smith (BS '49), now at Chapman University, and later by Caltech's Charlie Plott, the William D. Hacker Professor of Economics and Political Science.

You probably interact with fifty to a hundred machine learning products every day, from your social media feeds and YouTube recommendations to your email spam filter and the updates that the New York Times, CNN, or Fox News decide to push, not to mention the hidden models that place ads on the websites you visit, and that redesign your 'experience' on the fly. Not all models are created equal, however: they operate on different principles, and impact us as individuals and communities in different ways. They differ fundamentally from each other along dimensions such as alignment of incentives between stakeholders, "creep factor", and the nature of how their feedback loops ope !L

]. "The narrow strip of soil around the plant's root teems with millions of microorganisms, making it one of the most complex ecosystems on earth. To determine whether the composition of this "root microbiome" triggers changes within the plant, postdoctoral fellow Dr. Elisa Korenblum and other members of a team headed by Prof. Asaph Aharoni of Weizmann's Plant and Environmental Sciences Department, created a hydroponic set-up in which they split the roots of tomato seedlings in two. In a series of experiments, the researchers placed one side of the split roots in vials, progressively diluting the soil suspensions several times. Each dilution altered the soil's microbial composition and reduced the diversity within the microbial community, so that the different suspensions ended up containing root microbiomes with high, medium and low diversity levels. The other side of the roots was submerged in a vial with a clean, soil-free solution. If the soil microbes communicate with the plant, one would expect to detect signs of their messages on both sides of the root system. That was exactly what the scientists found…. 'Our ultimate goal is to decipher the chemical language - one could call it 'Plantish' - used by plants and the soil to interact with one another,' Korenblum

Case isolation and contact tracing can contribute to the control of COVID-19 outbreaks1,2. However, it remains unclear how real-world social networks could influence the effectiveness and efficiency of such approaches. To address this issue, we simulated control strategies for SARS-CoV-2 transmission in a real-world social network generated from high-resolution GPS data that were gathered in the course of a citizen-science experiment3,4. We found that tracing the contacts of contacts reduced the size of simulated outbreaks more than tracing of only contacts, but this strategy also resulted in almost half of the local population being quarantined at a single point in time. Testing and releasing non-infectious individuals from quarantine led to increases in outbreak size, suggesting that contact tracing and quarantine might be most effective as a 'local lockdown' strategy when contact rates are high. Finally, we estimated that combining physical distancing with contact tracing could enable epidemic control while reducing the number of quarantined individuals. Our findings suggest that targeted tracing and quarantine strategies would be most efficient when combined with other control measures such as physical distancing.

Historians don't just study history. We construct it. We puzzle pieces into meanings. Aided by our instincts and experiences, as well as by our research, we make sense of other times, other nations, other peoples. In that sense, the writing of history is always personal.

Common Cold Study and others like it, while scrambling to understand the human immune response to SARS-CoV-2 using animals and cell cultures, along with the latest molecular techniques. They have catalogued antibody and immune-cell responses with uncommon speed, determined which are likely to be the most effective, and designed vaccines and therapies that, in animal studies and small human studies, provoke at least short-term immune responses. But there is no quick and simple experiment that can firmly determine whether immunity will be effective or lasting. It is just too soon to know.

A fish school is a striking demonstration of synchronicity. Yet centuries of study have left a basic question unanswered: Do fish save energy by swimming in schools? Now, scientists from the Max Planck Institute of Animal Behavior (MPI-AB), the University of Konstanz, and Peking University have provided an answer that has long been suspected but never conclusively supported by experiments: yes.