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In addition to securities fraud and obstruction of justice, James Velissaris has been charged with wire fraud and lying to auditors.

The founder and manager of a $1.7 billion mutual fund that collapsed last year has been charged by federal prosecutors with securities fraud and obstruction of justice for allegedly inflating fund asset values to keep investor money flowing, then falsifying records to conceal the improprieties.

The Infinity Q Diversified Alpha Fund halted investor redemptions in February 2021, roughly seven years after it was co-founded by James Velissaris, 37, its chief investment officer. A government inquiry began, Velissaris stepped down and the mutual fund and a parallel hedge fund he oversaw began liquidating.

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If you get nervous, you might feel it in your gut. If you eat chili, your gut might revolt, but your friend can eat anything and feel great. You can pop ibuprofen like candy with no ill effects, but your friend’s belly might bleed and might get no pain relief. Why is this? The quick answer is because we’re all different. The next questions are how different exactly, and what do these differences mean for health and disease? Answering these is much more difficult, but the UNC School of Medicine lab of Scott Magness, Ph.D., is revealing some interesting scientific answers.

For the first time, the Magness lab used entire human GI tracts from three organ donors to show how cell types differ across all regions of the intestines, to shed light on cellular functions, and to show gene expression differences between these cells and between individuals.

This work, published in Cellular and Molecular Gastroenterology and Hepatology, opens the door to exploring the many facets of gut health in a much more precise manner at greater resolution than ever before.

Researchers have developed self-healing, biodegradable, 3D-printed materials that could be used in the development of realistic artificial hands and other soft robotics applications.

The low-cost jelly-like materials, developed by researchers at the University of Cambridge, can sense strain, temperature and humidity. And unlike earlier self-healing robots, they can also partially repair themselves at room temperature.

The results are reported in the journal NPG Asia Materials.

The farthest known quasar challenges ideas about how the first supermassive black holes in the universe formed.

Documents show plans for an R&D facility with employee housing.

A newly designed control architecture uses deep reinforcement learning to learn to command the coils of a tokamak, and successfully stabilizes a wide variety of fusion plasma configurations.

Electronic components applied to implement IoT based smart farming systems, ranging from processors, sensors, signal conditioning, power management, connectivity, and positioning.

The IoT systems in smart farming have been depicted in six main sections by EET India, which are processors, sensors, signal conditioning, power management, connectivity, and positioning. Common use cases like automatic fertilization, automatic irrigation, crop management, precision farming, and livestock monitoring all can be realized through IoT systems. After sensors detect the environmental phenomena and target objects, the information will be transmitted to controlled processors through wireless connectivity. Then, the processors can collect and analyze these data, or even help farmers with further decision making.

Fig. 1 An IoT system in smart farming (Source: EET India, TECHDesign)

Also read: IIT delhi built solar panels that track sun’s movement to generate more electricity.

However, now an engineer from the Philippines has developed a new kind of solar panel that doesn’t really need sunlight to generate electricity. At least not directly.

Developed by Carvey Ehren Maigue, a student at Mapua University in the Philippines, the novel solar panels (called AuRES) are designed to feed off the UV rays of the sun — something that even dense cloudy days cannot block.

We construct quantum algorithms to compute physical observables of nonlinear PDEs with M initial data. Based on an exact mapping between nonlinear and linear PDEs using the level set method, these new quantum algorithms for nonlinear Hamilton-Jacobi and scalar hyperbolic PDEs can be performed with a computational cost that is independent of M, for arbitrary nonlinearity. Depending on the details of the initial data, it can also display up to exponential advantage in both the dimension of the PDE and the error in computing its observables. For general nonlinear PDEs, quantum advantage with respect to M is possible in the large M limit.