RSS feed source: US Energy Information Administration

In-brief analysis

March 25, 2025

U.S. manufacturing energy consumption has continued to increase, according to our recently released survey results for 2022. We conduct the Manufacturing Energy Consumption Surveys (MECS) every four years, and the latest iteration shows the third consecutive increase in energy consumed in the manufacturing sector since a low point in 2010. Natural gas consumption in the manufacturing sector increased by more than all other energy sources combined, as compared with the previous MECS results from 2018.

MECS is a nationally representative sample survey of approximately 15,000 establishments representing 97% to 98% of the manufacturing payroll. MECS collects information on U.S. manufacturing establishments, their energy-related building characteristics, and their energy consumption and expenditures through a web-based questionnaire. MECS reports separate estimates of energy use for 79 different industry subsectors and groups across U.S. manufacturing.

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RSS feed source: US Energy Information Administration

In-brief analysis

March 24, 2025

Data source: U.S. Energy Information Administration, Petroleum Supply Monthly
Note: Refinery yield represents the percentage of finished product produced (output) from gross inputs. EIA calculates refinery yield as the net production of a finished petroleum product (output) divided by the sum of the input of crude oil, hydrogen, and other hydrocarbons and the net input of unfinished oils.

U.S. refineries produced a record-high share of jet fuel in 2024, reflecting increased demand relative to other transportation fuels.

Motor gasoline, distillate fuel oil, and jet fuel make up more than 85% of U.S. refinery output, with gasoline making up the largest share and distillate fuel oil making up the second largest. Refiners can shift yields among those three products in response to market conditions but are limited by refinery configuration, crude oil

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Synopsis

Vulnerabilities in an open-source product and/or its continuous development, integration and deployment infrastructure can potentially be exploited to attack any user (human, organization, and/or another product/entity) of the product. To respond to the growing threats to the safety, security, and privacy of open-source ecosystems (OSEs), NSF is launching the Safety, Security, and Privacy for Open-Source Ecosystems (Safe-OSE) program. This program solicits proposals from OSEs, including those not originally funded by NSF’s Pathways to Enable Open-Source Ecosystems (POSE) program, to address significant safety, security, and/or privacy vulnerabilities, both technical (e.g., vulnerabilities in code and side-channels) and socio-technical (e.g., supply chain, insider threats, and social engineering). 

Although most open-source products are software-based, it is important to note that Safe-OSE applies to any type of OSE, including those based on scientific methodologies, models, and processes; manufacturing processes and process specifications; materials formulations; programming languages and formats; hardware instruction sets; system

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Credit: Donald Cameron

Leaves of the white oak (Quercus alba) U.S. National Science Foundation-funded researchers at Indiana University and Penn State have collaborated with scientists from the U.S. Forest Service and others to produce the first complete genome for the white oak (Quercus alba). This tree provides large amounts of timber and is the primary species used in barrels for aging spirits.

Data to complete the genome came from a range of academic sources, such as the Forest Service, state forests and industry. By combining those data into an unbiased annotation of the white oak’s genes, the researchers have created a resource to understand genetic diversity and population differentiation within the species, assess disease resistance and the evolution of genes that enhance it, and compare with other oak genomes to determine evolutionary relationships between species and how the genomes have evolved.

“Plants, including trees, help meet society’s needs for food, fuel, fiber and, in this case, other key economic services. Having genomic data like this helps us address important biological questions, including those related to the economic and societal use of the species,” said Diane Jofuku Okamuro, a program officer in the NSF Directorate for Biological Sciences.

The research included the use of the NSF-supported CAGEE (computational analysis of gene expression evolution) software. The

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