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Articles 1 - 9 of 9
Full-Text Articles in Life Sciences
Patterns Of Life: Integrating Mathematics With Science, Culture, And Art, Dian Calkins, James B. Cunningham, Foad Satterfield, Mietek Kolipinski, Sibdas Ghosh
Patterns Of Life: Integrating Mathematics With Science, Culture, And Art, Dian Calkins, James B. Cunningham, Foad Satterfield, Mietek Kolipinski, Sibdas Ghosh
Collected Faculty and Staff Scholarship
We offered undergraduate students an interdisciplinary course Patterns of Life that develops mathematical reasoning strategies to solve complex problems. In its most essential form, mathematics is the study of patterns; and mathematical (patterned) reasoning is the ability to think with a plan and a purpose. Students personally experience and use patterns of reasoning in diverse disciplines, and then work in groups to form a valid strategy for solving a selected problem. Patterns of Life is designed as guided, on-site, active-learning experiences, in cooperation with local scientific, cultural and fine arts communities. Course goals for students include: (1) to increase mathematical …
Hydrodynamic Modeling For The Proposed Dredging Assessment In Norfolk Harbor Channel, Elizabeth River, Mac Sisson, Harry V. Wang, Jian Shen, Wenping Gong, Albert Y. Kuo
Hydrodynamic Modeling For The Proposed Dredging Assessment In Norfolk Harbor Channel, Elizabeth River, Mac Sisson, Harry V. Wang, Jian Shen, Wenping Gong, Albert Y. Kuo
Reports
No abstract provided.
Upper Ocean Response Of The Mesoamerican Barrier Reef System To Hurricane Mitch And Coastal Freshwater Inputs: A Study Using Sea-Viewing Wide Field-Of-View Sensor (Seawifs) Ocean Color Data And A Nested-Grid Ocean Circulation Model, Jinyu Sheng, Liang Wang, Serge Andrefouet, Chuanmin Hu, Bruce G. Hatcher, Frank E. Muller-Karger, Bjoern Kjerfve, William D. Heyman, Bo Yang
Upper Ocean Response Of The Mesoamerican Barrier Reef System To Hurricane Mitch And Coastal Freshwater Inputs: A Study Using Sea-Viewing Wide Field-Of-View Sensor (Seawifs) Ocean Color Data And A Nested-Grid Ocean Circulation Model, Jinyu Sheng, Liang Wang, Serge Andrefouet, Chuanmin Hu, Bruce G. Hatcher, Frank E. Muller-Karger, Bjoern Kjerfve, William D. Heyman, Bo Yang
Marine Science Faculty Publications
The passage of category‐5 Hurricane Mitch through the Mesoamerican Barrier Reef System (MBRS) in October 1998 was an extreme event with the potential to create unusual patterns of reef connectivity. The impact of this hurricane on the upper ocean of the MBRS is investigated using a triply nested grid ocean circulation modeling system. The model results are validated with contemporaneous ocean color data from the Sea‐viewing Wide Field‐of‐view Sensor (SeaWiFS) satellite and oceanographic measurements in the MBRS. The nested grid system is forced by 6‐hourly National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) winds for the first 294 …
Modeling Beaver Dam Effects On Ecohydraulics And Sedimentation In An Agricultural Watershed, Mary Carla Mccullough, Dean E. Eisenhauer, Michael G. Dosskey, David M. Admiraal
Modeling Beaver Dam Effects On Ecohydraulics And Sedimentation In An Agricultural Watershed, Mary Carla Mccullough, Dean E. Eisenhauer, Michael G. Dosskey, David M. Admiraal
United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications
Populations of North American beaver (Castor canadensis) have increased in recent decades throughout the agricultural Midwestern U.S., leading to an increase in the frequency of beaver dams in small streams. The impact of beaver dams on channel structure in this region is not known. Our field observations indicate that beaver dams are too dynamic and their affects on channel structure occur over longer time frames than is practical to study with field measurements. Modeling is therefore needed to determine if beaver dams will help stabilize and aggrade incised streams. The objective of this paper is to determine how …
Understanding And Modeling The Effect Of Temperature And Daylength On Soybean Phenology Under High-Yield Conditions, T. D. Setiyono, Albert Weiss, James E. Specht, A. M. Bastidas, Kenneth G. Cassman, A. Dobermann
Understanding And Modeling The Effect Of Temperature And Daylength On Soybean Phenology Under High-Yield Conditions, T. D. Setiyono, Albert Weiss, James E. Specht, A. M. Bastidas, Kenneth G. Cassman, A. Dobermann
Department of Agronomy and Horticulture: Faculty Publications
Temperature and photoperiod can be used to simulate soybean (Glycine max [L.] Merr) phenology because they serve as surrogates for complex biochemical pathways leading to the appearance of certain developmental stages at the whole plant level. We developed a soybean phenology model (SOYDEV) which utilizes non-linear temperature and photoperiod functions and separates floral induction and post-induction for simulating time of flowering. This model accurately simulated the dynamics of vegetative development, final node number and the occurrence of major reproductive stages such as flowering (R1), beginning pod (R3), mid-pod elongation (R3,5), beginning seed (R …
Spatial And Temporal Dynamics Of Land Use Impacts On Water Quality In Watershed Systems, Olga Tsvetkova
Spatial And Temporal Dynamics Of Land Use Impacts On Water Quality In Watershed Systems, Olga Tsvetkova
Masters Theses 1911 - February 2014
ABSTRACT SPATIAL AND TEMPORAL DYNAMICS OF LAND USE IMPACTS ON WATER QUALITY IN WATERSHED SYSTEMS SEPTEMBER 2007 OLGA TSVETKOVA, B.S., NOVGOROD STATE UNIVERSITY, RUSSIA M.S., UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: Professor Timothy O. Randhir Predicting land use change and assessing watershed tradeoffs between the watershed system components through system simulation helps to determine future nutrient and sediment load reductions needed to obtain a particular water quality standard. This also helps to examine the tradeoffs among nutrient and sediment load reductions that achieve the same water quality objective. Tradeoff assessment is a useful tool to meet agricultural and urban needs …
Menu Analysis: A Review Of Techniques And Approaches, James J. Taylor, Denise M. Brown
Menu Analysis: A Review Of Techniques And Approaches, James J. Taylor, Denise M. Brown
Hospitality Review
This review discusses menu analysis models in depth to identify the models strengths and weaknesses in attempt to discover opportunities to enhance existing models and evolve menu analysis toward a comprehensive analytical model.
Neural Network And Regression Modeling Of Extrusion Processing Parameters And Properties Of Extrudates Containing Ddgs, Nehru Chevanan, Kasiviswanathan Muthukumarappan, Kurt A. Rosentrater
Neural Network And Regression Modeling Of Extrusion Processing Parameters And Properties Of Extrudates Containing Ddgs, Nehru Chevanan, Kasiviswanathan Muthukumarappan, Kurt A. Rosentrater
Kurt A. Rosentrater
Two sets of experiments using a single-screw extruder were conducted with an ingredient blend containing 40% DDGS (distillers dried grains with solubles), along with soy flour, corn flour, fish meal, vitamin mix, and mineral mix, with the net protein content adjusted to 28%. The variables controlled in the first experiment included seven levels of die size, three levels of moisture content, three levels of temperature gradient in the barrel, and one screw speed. The variables altered in the second experiment included three levels of moisture content, three levels of temperature gradient in the barrel, five levels of screw speed, and …
Livestock Management During Drought In The Northern Great Plains. I. A Practical Predictor Of Annual Forage Production, R. E. Kruse, M. W. Tess, R. K. Heitschmidt
Livestock Management During Drought In The Northern Great Plains. I. A Practical Predictor Of Annual Forage Production, R. E. Kruse, M. W. Tess, R. K. Heitschmidt
United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications
This research addressed the hypothesis that spring precipitation data can be used to detect agricultural drought early in the growing season. The Rangetek range model was used to simulate yearly forage data based on historical precipitation and temperature records from the USDA-ARS Fort Keogh Livestock and Range Research Laboratory (Miles City, MT) and the Agriculture and Agri-Food Canada Manyberries Substation (Lethbridge, AB, Canada). Monthly total precipitation and monthly average maximum and minimum temperatures were used to develop regression equations predicting growing season forage production at the Fort Keogh Laboratory and Manyberries Substation. At Fort Keogh Laboratory, a combination of fall …