The first model to describe the ways variously sized particles can jam together

The ways in which particles, such as sand or liquid droplets, behave during various mechanical processes is well studied. Typically, in situations where space is constrained, jams can occur, and understanding this can be useful in various industries. However, only instances where the particles in question are similar or have a limited range of sizes have been successfully modeled. For the first time, a model has been made that describes bodies of particles with highly diverse sizes, and in different jamming scenarios.

https://www.lifetechnology.com/blogs/life-technology-science-news/the-first-model-to-describe-the-ways-variously-sized-particles-can-jam-together

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Two proteins join forces to make flowers

What mechanisms are behind the formation of flowers? To answer this question a 25-year-old enigma has just been solved: the role of UFO protein in the flower's formation process. While its nature suggested that it destroys its partners, this protein is in fact an aid to the birth of a flower when coupled to the LEAFY protein.

https://www.lifetechnology.com/blogs/life-technology-science-news/two-proteins-join-forces-to-make-flowers

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The function and evolution of a genetic switch controlling sexually dimorphic eye differentiation in honeybees

Bee researchers at Heinrich Heine University Düsseldorf (HHU) headed by Professor Dr. Martin Beye have identified a new gene in honeybees, which is responsible for the dimorphic eye differentiation between males and females of the species. The researchers have now presented this gene and the evolutionary genetic conclusions they have drawn from it in the journal Nature Communications.

https://www.lifetechnology.com/blogs/life-technology-science-news/the-function-and-evolution-of-a-genetic-switch-controlling-sexually-dimorphic-eye-differentiation-in-honeybees

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Automated data exchange format creates transparency in enzymatic experiments

In catalytic sciences, as in all scientific fields, we face a rapidly increasing volume and complexity of research data, which is a challenge for analysis and reuse. A team led by Prof. Jürgen Pleiss from the Institute of Biochemistry and Technical Biochemistry at the University of Stuttgart has introduced EnzymeML as a data exchange format in a recent journal article published in Nature Methods. EnzymeML serves as a format to comprehensively report the results of an enzymatic experiment and stores the data in a structured way to make it traceable and reusable.

https://www.lifetechnology.com/blogs/life-technology-science-news/automated-data-exchange-format-creates-transparency-in-enzymatic-experiments

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