Forbes contributors publish independent expert analyses and insights. Joan Verdon is a veteran retail reporter based in Northern New Jersey. Consumers spent record amounts online on Black Friday, but ...

WASHINGTON, Nov 18 (Reuters) - A divided U.S. Federal Reserve begins receiving updated economic reports from the now-reopened federal government this week as policymakers hope for clarity in their ...

The Trump administration is appealing a judge's order for it to provide full SNAP food aid benefits to states by Nov. 7. The Justice Department filed a notice of appeal Nov. 6 – the same day Rhode ...

WASHINGTON (Reuters) -President Donald Trump wants to hear from the courts how to fund SNAP food aid benefits for needy Americans and payments could flow by Wednesday as ordered by a U.S. judge, ...

Click to share on Facebook (Opens in new window) Facebook Click to share on X (Opens in new window) X U.S. Rep. DeLauro (center), at a Capitol press conference in Washington, D C. on Oct. 28, flanked ...

The Food Safety and Quality Assurance professional development course provides professionals with a comprehensive understanding of modern food safety and quality assurance programs, regulations and ...

TL;DR: Get a lifetime license to Microsoft Visio Professional 2021 for Windows for just $14.97 (MSRP $249.99) and bring clarity to complex data with powerful templates, shapes, and collaboration tools ...

The Internet has Google. Now biology has MetaGraph. Detailed today in Nature, the search engine can quickly sift through the staggering volumes of biological data housed in public repositories. “It’s ...

Last month, the U.S. Department of Agriculture announced that they will not collect food insecurity data for 2025. The timing could not be worse. Just as cuts to the Supplemental Nutrition Assistance ...

Abstract: Flow fields are often partitioned into data blocks for massively parallel computation and analysis based on blockwise relationships. However, most of the previous techniques only consider ...

Abstract: Data-enabled predictive control (DeePC) has garnered significant attention for its ability to achieve safe, data-driven optimal control without relying on explicit parametric models.