BALTIMORE, MD, November 12, 2024 – New research in the INFORMS journal Manufacturing & Service Operations Management is guiding the development of more inclusive and efficient electricity markets. The work demonstrates how aggregating small-scale, distributed energy resources (DERs) like solar panels can effectively balance the power of large utility companies.
Global supply chains are undergoing an irrevocable shift. While material flows remain critical, they are only the most visible aspect of this transition. Beneath the surface, changes in information exchanges, financial reconfigurations, and human capital movements are posing far greater risks to the benefits of global trade. The US, China, and the rest the world must handle these changes with care and perspective.
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A new study in the INFORMS journal Operations Research on the conflict in Syria using existing attrition models, found that certain factors were lacking, leading to the creation of a new predictive model for multilateral war, which is called the Lanchester multiduel.
Three researchers have conducted a study of war, specifically the current conflict in Syria that's been raging since 2011, to arrive at the creation of a new predictive model for multilateral war, which is called the Lanchester multiduel. The research, published in the August edition of the INFORMS journal Operations Research, is titled "The Attrition Dynamics of Multilateral War."
CATONSVILLE, MD, September 12, 2018 – New research has found a way to identify extremists, such as those associated with the terrorist group ISIS, by monitoring their social media accounts, and can identify them even before they post threatening content.
CATONSVILLE, MD, September 10, 2018 – Three researchers have conducted a study of war, specifically the current conflict in Syria that’s been raging since 2011, to arrive at the creation of a new predictive model for multilateral war, which is called the Lanchester multiduel.
A patient goes into the emergency room for a broken toe, is given a series of standardized tests, has their data fed into an algorithm, and—though they haven’t mentioned feeling depressed or having any suicidal thoughts—the machine identifies them as at high risk of suicide in the next week. Though the patient didn’t ask for help, medical professionals must now broach the subject of suicide and find some way of intervening. This scenario, where an actionable diagnosis comes not from a doctor’s evaluation or family member’s concern, but an algorithm, is an imminent reality.
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