Tag Archives: Michigan

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Well Water Quality

Michigan Central | Water 330 | 2021 Michigan Plumbing Code

Water testing helps ensure that well owners have safe, clean drinking water.

Protect the water quality of your water well

One of the first activities upon waking is interacting with water. Approximately 25% of households in the state of Michigan rely on private well water as their primary drinking water source.  This figure comes from the Michigan Department of Environment, Great Lakes, and Energy (EGLE), which estimates nearly 1.12 million households use private wells out of a total of roughly 4.1–4.6 million households statewide (based on U.S. Census data and population estimates of about 10 million residents, with an average household size of 2.5).

Other sources, such as Michigan State University Extension and the Michigan Water Stewardship Program, report slightly higher figures of 44–45% for overall groundwater reliance (including public systems drawing from aquifers), but the specific share for private household wells aligns with the 25% estimate from EGLE. Rural and southeastern areas of the state have the highest concentrations.

Sunday Brunch

Sunday Brunch Menu | 10:30 – 1:30 AM Heritage Room

Michigan State University Alumni Chapel

Michigan State University | Ingham County

Gingerbread Latte

Michigan West

 

 

ProPublica Nonprofit Explorer: Davenport University, Kent County Michigan

Davenport University Facilities

Self Reliance: Ralph Waldo Emerson

“Self-Reliance” by Ralph Waldo Emerson is an essay that emphasizes individualism, nonconformity, and the importance of trusting one’s own instincts. Here are some passages from this influential accomplishment that informs American culture:

“Trust thyself: every heart vibrates to that iron string.”

” A foolish consistency is the hobgoblin of little minds, adored by little statesmen and philosophers and divines.”

“To be great is to be misunderstood.”

“Whoso would be a man must be a nonconformist.”

“Nothing can bring you peace but yourself. Nothing can bring you peace but the triumph of principles.”

These excerpts capture the essence of Emerson’s philosophy in “Self-Reliance,” promoting the idea of individualism, self-trust, and the pursuit of one’s unique path in life. 

We have avoided listing interpretations offered by artificial intelligence algorithms because those algorithms are informed by at least one-hundred years of biased interpretation by scholars funded by the US federal government which has long since grown hostile to individualism; worthy coffee-house debate.  We recommend you consult the original text, linked above.

Kent County Michigan

“Tea, Earl Grey, Hot”

The command issued by the character Captain Jean-Luc Picard in the television series “Star Trek: The Next Generation” finds its way into the archive of photographs of Nobel Laureates consorting with politicians at the University of Michigan and elsewhere.

Attendees of the Theoretical Physics Colloquium at the University of Michigan in 1929.

American Institute of Physics Archive

Ex Libris Universum

…”There’s not good math explaining forget the physics of it.  Math explaining the behavior of complex systems yeah and that to me is both exciting and paralyzing like we’re at very early days of understanding you know how complicated and fascinating things emerge from simple rules…” — Peter Woit [1:16:00]

Coffee & Tea Standards


Since 1936 the Brown Jug has been the ancestral trough of generations of University of Michigan students and faculty — notably. Donald Glaser (inventor of the bubble chamber) and Samuel C. C. Ting (Nobel Laureate) whose offices at Randall Laboratory were a 2-minute walk around the corner from The Brown Jug.  As the lore goes, the inspiration happened whilst watching beer bubbles one ordinary TGIF Friday.

The Brown Jug is named after the Michigan vs Minnesota football trophy, which is the oldest in college football.

Drivers facing the yellow-light-dilemma

Center for Digital Education | University of Michigan

 

Stochastic hybrid models for predicting the behavior of drivers facing the yellow-light-dilemma

Paul A. Green | University of Michigan

 Daniel Hoehener & Domitilla Del Vecchio | Massachusetts Institute of Technology

  

Abstract:  We address the problem of predicting whether a driver facing the yellow-light-dilemma will cross the intersection with the red light. Based on driving simulator data, we propose a stochastic hybrid system model for driver behavior. Using this model combined with Gaussian process estimation and Monte Carlo simulations, we obtain an upper bound for the probability of crossing with the red light. This upper bound has a prescribed confidence level and can be calculated quickly on-line in a recursive fashion as more data become available. Calculating also a lower bound we can show that the upper bound is on average less than 3% higher than the true probability. Moreover, tests on driving simulator data show that 99% of the actual red light violations, are predicted to cross on red with probability greater than 0.95 while less than 5% of the compliant trajectories are predicted to have an equally high probability of crossing. Determining the probability of crossing with the red light will be important for the development of warning systems that prevent red light violations.

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Michigan Blue Fortress

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Seed the Future

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