Latest SUV is greatly improved on several fronts, with a good choice of spec and engines The new version of the Dacia Duster, which is much improved I don’t know what represents value for money ...

The National Weather Service says there’s a nearly 60% chance that parts of the Lehigh Valley could see a dusting of at least a tenth of an inch of snow Friday afternoon into Saturday morning.

FOND DU LAC, Wis. (WLUK) – A driver who admitted to huffing from an electronic air duster shortly before he crashed into a mobile phone store, injuring six, was convicted Thursday. Benjamin Ayer ...

Two shots of snow are in the forecast for New Jersey, with light snow possible for parts of the state Friday and more widespread snow expected on Monday as temperatures plunge. Snowfall totals for ...

The Centre on Wednesday (January 1, 2025) extended two crop insurance schemes — PMFBY and RWBCIS — for one more year till 2025-26 and also created a separate ₹824.77 crore fund for ...

Prime Minister Narendra Modi said on Wednesday that the government's first decision in the New Year is dedicated to farmers, as the Union Cabinet headed by him enhanced allocation to crop insurance ...

It’s hard work to harvest, but a growing cadre of small farmers and home gardeners are cultivating the spice for profit, or simply pleasure. Bulb-like corms, at top, produce saffron crocuses.

The snow falls steadily on a downtown street in Montreal, Quebec. The heaviest snowfall in a decade is possible as a wintery blast roils parts of the US Aliens could be a little easier to find ...

Pulses and coarse cereals have shown stable or slight increases, highlighting mixed trends in crop sowing. Wheat cultivation during the Rabi season has risen by 2.15% to 319.74 lakh hectares. (Photo ...

Abstract: Safety and data efficiency are important concerns in data-driven control, especially for nonlinear systems with unknown dynamics and subject to disturbances. In this work, we consider a ...

Researchers at the Indian Institute of Science (IISc), with collaborators at University College London, have developed machine learning-based methods to predict material properties even with limited ...