W.W. Grainger, Inc.
Location
Illinois
Founded
1927-02-28
Website
Risk Signals
902 news mentions monitored
Industry Context
This company is tracked across risk categories, including those related to its sector (e.g., Industrial Machinery and Equipment, Industrial Supplies), including supply chain integrity, ESG practices, labor disputes, and regulatory compliance.
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Recent Articles about W.W. Grainger, Inc.
Live alerts from global media, monitored by Business Radar
2024-08-29 (ironmountaindailynews.com)
Tropical Storm Debby doles out repeat deluges for weather-weary residents
HUGER, S.C.( AP)— Days of rain forced the deluge-hardened residents of a South Carolina community to begin the near-ritualistic task of assessing damage left behind by Tropical Storm Debby, which continued spinning over the Atlantic Ocean and influencing thunderstorms from the East Coast to the
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2024-08-08 (nwaonline.com)
Tropical storm Debby drenches East Coast
HUGER, S.C. -- Days of rain forced the deluge-hardened residents of a South Carolina community to begin the near-ritualistic task of assessing damage left behind by Tropical Storm Debby, which continued spinning over the Atlantic Ocean and influencing thunderstorms from the East Coast to the Great
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2024-08-07 (chicagotribune.com)
Tropical Storm Debby doles out more deluges
Days of rain forced the deluge-hardened residents of a South Carolina community to begin the near-ritualistic task of assessing damage left behind by Tropical Storm Debby.
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2019-05-14 (nature.com)
Estimating the time-varying generation rate of acetic acid from an all-purpose floor cleaner
Understanding the relationship between consumer product use and risk of adverse health outcomes facilitates appropriate risk management and product stewardship. A preferred method for estimating the systemic and respiratory tract exposure and dose tailored to cleaning products use has been proposed, refining previously issued exposure guidance. Consistent with other exposure and risk-assessment frameworks, it is dependent upon high-quality exposure determinant data that also serve as model inputs. However, as publicly available exposure determinant data are scarce, the risk assessor is left with the option of estimating determinants such as the generation rate or employing empirical methods to estimate them. When the exposure scenario involves a chemical mixture, estimating the generation rate may not be feasible. We present an approach for estimating the time-varying generation rate of an aqueous acetic acid mixture representative of the base formulation for many consumer and DIY cleaning products that was
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