Academic literature on the topic 'Maumee High School (Maumee, Ohio)'

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Journal articles on the topic "Maumee High School (Maumee, Ohio)"

1

Mukherjee, Maitreyee, Leah Marie, Cheyenne Liles, et al. "Elevated Incidences of Antimicrobial Resistance and Multidrug Resistance in the Maumee River (Ohio, USA), a Major Tributary of Lake Erie." Microorganisms 9, no. 5 (2021): 911. http://dx.doi.org/10.3390/microorganisms9050911.

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Maumee River, the major tributary in the western basin of Lake Erie, serves as one of major sources of freshwater in the area, supplying potable, recreational, and industrial water. In this study we collected water samples from four sites in the Maumee River Bay between 2016–2017 and E. coli was isolated, enumerated, and analyzed for antimicrobial resistance (AMR) and multidrug resistance (MDR). Strikingly, 95% of the total isolates were found to be resistant to at least one antibiotic. A very high resistance to the drugs cephalothin (95.3%), ampicillin (38.3%), tetracycline (8.8%), gentamicin
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2

Larson, Matthew D., Anita Simic Milas, Robert K. Vincent, and James E. Evans. "Multi-depth suspended sediment estimation using high-resolution remote-sensing UAV in Maumee River, Ohio." International Journal of Remote Sensing 39, no. 15-16 (2018): 5472–89. http://dx.doi.org/10.1080/01431161.2018.1465616.

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3

Senevirathne, Chathuranga Kumara, Anita Simic Milas, Ganming Liu, Margaret Mary Yacobucci, and Yahampath Anuruddha Marambe. "Effects of Increasing C4-Crop Cover and Stomatal Conductance on Evapotranspiration: Simulations for a Lake Erie Watershed." Remote Sensing 14, no. 8 (2022): 1914. http://dx.doi.org/10.3390/rs14081914.

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Accurate quantification of evapotranspiration (ET) is crucial for surface water resources and best agricultural management practices in watersheds. The aim of this study was to better understand ET changes caused by the rapid expansion of C4 (corn) cover and rapid changes in stomatal conductance, which may be amplified in the future due to environmental and human-contributing factors, such as climate change and agricultural practices. Linking the enlargement of agricultural land with the physiological properties of crops, such as photosynthetic adaptations and stomatal conductance, is necessar
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Mallya, Ganeshchandra, Mohamed M. Hantush, and Rao S. Govindaraju. "A Machine Learning Approach to Predict Watershed Health Indices for Sediments and Nutrients at Ungauged Basins." Water 15, no. 3 (2023): 586. http://dx.doi.org/10.3390/w15030586.

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Effective water quality management and reliable environmental modeling depend on the availability, size, and quality of water quality (WQ) data. Observed stream water quality data are usually sparse in both time and space. Reconstruction of water quality time series using surrogate variables such as streamflow have been used to evaluate risk metrics such as reliability, resilience, vulnerability, and watershed health (WH) but only at gauged locations. Estimating these indices for ungauged watersheds has not been attempted because of the high-dimensional nature of the potential predictor space.
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5

Vitense, Kelsey, Luke C. Loken, Erin M. Maloney, et al. "Prioritizing chemicals of emerging concern in the Great Lakes Basin using covariance of chemical concentrations and diverse biological responses from a variety of species." Environmental Toxicology and Chemistry, January 7, 2025. https://doi.org/10.1093/etojnl/vgae094.

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Abstract The Great Lakes Restoration Initiative aims to protect and restore the nation's largest freshwater resource, in part, by furthering our understanding of the effects of contaminants of emerging concern (CECs) and chemical mixtures on aquatic and terrestrial organisms. To address this goal, an interagency team conducted field studies at sites along the Maumee River in Ohio, USA in 2016-2017, monitoring CEC levels along with diverse in vitro and in vivo biological effects in ecologically relevant species (fathead minnows, tree swallows, and golden clams). The objective of the present wor
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