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Researchers at North Carolina State University show that an important gene in maize called HPC1 modulates certain chemical processes that contribute to flowering time, and has its origins in “teosinte mexicana,” a precursor to modern-day corn that grows wild in the highlands of Mexico. The findings provide insight into plant evolution and trait selection, and could have implications for corn and other crops’ adaptation to low temperatures.

“We are broadly interested in understanding how natural variation of lipids are involved in the growth and development of plants, and how these compounds may help plants adapt to their immediate environments,” said Rubén Rellán-Álvarez, assistant professor of structural and molecular biochemistry at NC State and the corresponding author of a paper describing the research. “Specifically, we wanted to learn more about variation in lipids called phospholipids, which consist of phosphorus and fatty acids, and their role in adaptation to cold, low phosphorus, and the regulation of important processes for plant fitness and yield like flowering time.”

Maize grown at higher altitudes, like the highlands of Mexico, needs special accommodations in order to grow successfully. The colder temperatures in these mountainous regions put maize at a slight disadvantage when compared with maize grown at lower elevations and higher temperatures.

If you’re ready for connectivity on the move, SpaceX’s Starlink satellite broadband may soon be the answer. The US Federal Communications Commission on Thursday gave the internet provider the greenlight to provide service on moving vehicles, boats and planes.

The new authority should help SpaceX meet “the growing user demands that now require connectivity while on the move,” wrote FCC international bureau chief Tom Sullivan wrote in the approval, “whether driving an RV across the country, moving a freighter from Europe to a U.S. port, or while on a domestic or international flight.”

Earlier this year, Starlink began selling Starlink for RVs, but the service wasn’t designed to work on the move — it was intended for users traveling to areas with slow or no broadband alternatives.

An artificial intelligence can now predict the location and rate of crime across a city a week in advance with up to 90 per cent accuracy. Similar systems have been shown to perpetuate racist bias in policing, and the same could be true in this case, but the researchers who created this AI claim that it can also be used to expose those biases.

Ishanu Chattopadhyay at the University of Chicago and his colleagues created an AI model that analysed historical crime data from Chicago, Illinois, from 2014 to the end of 2016, then predicted crime levels for the weeks that followed this training period.

The model predicted the likelihood of certain crimes occurring across the city, which was divided into squares about 300 metres across, a week in advance with up to 90 per cent accuracy. It was also trained and tested on data for seven other major US cities, with a similar level of performance.

This is Nextracker’s third new factory, adding to the company’s new Texas and Arizona factories announced in April and May, towards building 10 GW of annual domestic solar tracker capacity. Courtesy of Nextracker — by Pallavi Singla.


Nextracker LLC, the global market leader in utility-scale solar trackers, and BCI Steel, a Pittsburgh-based steel fabricator, this week announced the reopening of the historic Bethlehem Steel manufacturing factory in nearby Leetsdale to produce solar tracker equipment for large-scale solar power plants.

The steel processing plant will incorporate both BCI Steel’s new and reshored equipment shipped to the U.S. from factories in Malaysia and Brazil. Solar tracker products produced at the factory will serve rapidly growing solar markets in Pennsylvania, Indiana, New York, and Ohio.

“BCI is proud to advance Pittsburgh’s legacy as the heart of America’s steel industry,” said Matt Carroll, CEO of BCI Steel. “This partnership with Nextracker showcases our steel fabrication and quality control technology and unlocks additional domestic solar capacity with our low-cost manufacturing.”

Shadow IT refers to the practice of users deploying unauthorized technology resources in order to circumvent their IT department. Users may resort to using shadow IT practices when they feel that existing IT policies are too restrictive or get in the way of them being able to do their jobs effectively.

An old school phenomenon

Shadow IT is not new. There have been countless examples of widespread shadow IT use over the years. In the early 2000s, for example, many organizations were reluctant to adopt Wi-Fi for fear that it could undermine their security efforts. However, users wanted the convenience of wireless device usage and often deployed wireless access points without the IT department’s knowledge or consent.