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    Moosehead Inn at Greenville Junction

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    Large inn sits at the top of the hill. Two canoes flipped below, on the shore next to the wooden dock. Handwritten on verso, Old Hotel at Greenville Junction. Moosehead Inn at G.Jct Burned 1910 or 1912. Stamped on verso: Harry Sanders the Real Estate Man Greenville, Maine; Eastern Gazette, Dexter […]https://digitalcommons.usm.maine.edu/hamilton-thayer-photographs/1257/thumbnail.jp

    [Kineo House\u27s Demolition 7]

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    An uphill view of Kineo House\u27s demolition, Moosehead Lake, and mountain views in the background. Large piles of wood panels lay close to the building.https://digitalcommons.usm.maine.edu/hamilton-thayer-photographs/1272/thumbnail.jp

    Poling on a Bateau

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    Seven men on a long bateau, preparing to pole.https://digitalcommons.usm.maine.edu/hamilton-thayer-photographs/1286/thumbnail.jp

    [Two Men on a Raft]

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    On a raft and in a canoe in front of Sanders and Cullen\u27s winter lumber camp, Moosehead Lake, ca. 1920\u27shttps://digitalcommons.usm.maine.edu/hamilton-thayer-photographs/1287/thumbnail.jp

    Arthur Craft\u27s residence at Greenville Junction, ca. 1919

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    Arthur Craft\u27s residence is teen on top of a hillhttps://digitalcommons.usm.maine.edu/hamilton-thayer-photographs/1313/thumbnail.jp

    Wilson\u27s Moosehead Lake

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    A large estate under construction view from the rear.https://digitalcommons.usm.maine.edu/hamilton-thayer-photographs/1318/thumbnail.jp

    Sq*** Mountain Inn

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    State of Maine Fish and Game Exhibition: Nee-dah-ben, Wenousoot Indian Presenting a wampum to Governor Louis Brann of Maine. March 7, 1936. Stamped on Verso: From N.W. Ayer & Son, Inc. Room 1214 Statler Office Bldg. Boston, -Masshttps://digitalcommons.usm.maine.edu/hamilton-thayer-photographs/1053/thumbnail.jp

    Louis Oakes\u27s House and View of Lily Bay

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    Handwritten on verso: You can see bay and Little Sq*** mt. Road to Lily Bay […] Oaks House. Stamped: D. T. Sanders and Son Co. Greenville, Mainehttps://digitalcommons.usm.maine.edu/hamilton-thayer-photographs/1082/thumbnail.jp

    Trends in Maternal Cannabis Use Disorder in Maine from 2016-2023

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    Cannabis is the most used recreational drug in the United States. Cannabis use in pregnant women can lead to poor brain development and low birthweight in infants. This study aimed to analyze and identify trends in CUD in Maine from 2016 to 2023. Using data provided by the Maine Health Data Organization (MHDO), an analysis was conducted using Statistical Analysis Software (SAS) and Joinpoint Regression Software. Comparisons were made between women delivering in Maine with CUD and those without CUD. Characteristics such as maternal age, insurance payer, rurality of residence, and co-occurring mental health conditions were included in the data analysis. The study consisted of 87,339 delivery hospitalizations recorded from 2016 to 2023; 3,728 (4.3%) of women had CUD and 83,611 (95.7%) did not have CUD. Prevalence of CUD was highest among young women (12-19 year olds at 11.8% and 20-24 year olds at 8.2%), Native American women (9.0%), those living in rural areas (urban areas at 3.0% vs. large rural areas at 4.7%, small rural areas at 5.4%, and isolated rural areas at 5.5%), and those with co-occurring mental health disorders (ranged from 6.7% for those with anxiety to 15.8% for those with bipolar disorder). In 2016, the overall percentage of CUD in pregnant women was 3.5% vs. 4.1% in 2023. There was an annual increase in the prevalence of maternal CUD of 0.40% from 2016 to 2020 (p=0.04), followed by an annual decrease of 0.44% from 2020 to 2023 (p=0.10). The results from this study indicate that maternal CUD prevalence is highest in among youth, rural residents, Native Americans, and those with co-occurring mental health disorders. More education, counseling, interventions, and strategies specifically centered around these populations may be needed to reduce maternal CUD rates in Maine

    Rural-urban disparities in the prevalence of chronic pain in adults: Associations with demographic and socioeconomic characteristics

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    Purpose To explore rural-urban differences in chronic pain prevalence among adults in the United States. Methods This cross-sectional study analyzed pooled data from the 2019-2021 and 2023 National Health Interview Survey. We used chi-square tests and logistic regression to determine how rurality of residence was associated with chronic pain prevalence among adults aged 18 and older before and after adjustment for demographic and socioeconomic variables. STROBE reporting guidelines were applied. Findings Unadjusted prevalence of chronic pain was 29% for rural adults and 21% for their urban counterparts (P \u3c .0001). After control for covariates, rural-urban differences decreased but remained statistically significant. Adjusted odds of chronic pain were 9% higher in rural than in urban populations (P \u3c .01). Adjusted chronic pain prevalence was 23% for rural and 22% for urban adults (P \u3c .01). Multivariable analyses suggested that rural-urban prevalence differences were related to risk factors that were more common in rural populations, including older age, current or past married status, lower income, lower education levels, and non-Hispanic White race and ethnicity. Conclusions The substantial rural-urban disparity in chronic pain prevalence is partly associated with demographic and socioeconomic risk factors correlated with rurality. Persisting rural-urban differences in adjusted chronic pain prevalence may also be correlated with barriers limiting rural residents’ access to guideline-concordant pain management. Innovations in delivery systems and payment policies may help to reduce these barriers

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