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Articles 1 - 13 of 13
Full-Text Articles in Life Sciences
An Assessment Of Moose (Alces Alces Americana) And Moose Management In Connecticut, Andrew M. Labonte
An Assessment Of Moose (Alces Alces Americana) And Moose Management In Connecticut, Andrew M. Labonte
Master's Theses
Eastern moose (Alces alces americana) populations have been increasing in New England over the past decade. Moose populations have the potential to generate human conflict due to their size, speed, nocturnal behavior, and seasonal mobility. As problems associated with increasing moose populations become more common, the need to develop management strategies that are both effective and acceptable to stakeholders becomes increasingly important. The potential for moose to continue to expand in southern New England and the long-term impacts they may have on Connecticut residents, is unclear. The overall purpose of this study was to assess how suitable Connecticut …
Global Effects Of Climate Change On Wildfire: Causal Relationships Of Fire, The Natural Environment And Human Activities, Lindon N. Pronto
Global Effects Of Climate Change On Wildfire: Causal Relationships Of Fire, The Natural Environment And Human Activities, Lindon N. Pronto
Lindon N Pronto
Climate change and human activity is significantly impacting the frequency and severity of wildfires across the globe. Although climate change and human population are the overarching factors affecting wildfires in the current dialogue, the issues are more complex and often not fully understood. These issues range from global temperature increases and severe drought cycles to the relatively new phenomenon of the wildland urban interface (WUI). This is the area where structures are integrated with or immediately surrounded by areas of moderate to high fire risk and are directly linked to fuel types and topographic features. Because climate change is such …
Application Of Baranyi Function To Model The Antibacterial Properties Of Solvent Extract From Irish York Cabbage Against Food Spoilage And Pathogenic Bacteria, Amit Jaiswal, Nissreen Abu-Ghannam, Shilpi Gupta, Sabrina Cox
Application Of Baranyi Function To Model The Antibacterial Properties Of Solvent Extract From Irish York Cabbage Against Food Spoilage And Pathogenic Bacteria, Amit Jaiswal, Nissreen Abu-Ghannam, Shilpi Gupta, Sabrina Cox
Articles
Cabbage is a rich source of a number of bioactive compounds such as flavonoids, glucosinolates and their breakdown products which may have antibacterial, antioxidant and anticancer properties. Outer green leaves of York cabbage were extracted with 60% methanol, ethanol or acetone. Antibacterial activities of vacuum dried crude extracts were estimated against a number of Gram-positive and Gram-negative food spoilage and food pathogenic bacteria. The crude extracts showed a broad spectrum of antibacterial activities but 60% methanol extract exhibited the highest antibacterial effect. Complete growth inhibition for Listeria monocytogenes was achieved with an extract concentration of 1.4%, whereas a two-fold concentration …
Artificial Neural Network Modeling Of Ddgs Flowability With Varying Process And Storage Parameters, Rumela Bhadra, K. Muthukumarappan, Kurt A. Rosentrater
Artificial Neural Network Modeling Of Ddgs Flowability With Varying Process And Storage Parameters, Rumela Bhadra, K. Muthukumarappan, Kurt A. Rosentrater
Kurt A. Rosentrater
Neural Network (NN) modeling techniques were used to predict flowability behavior of distillers dried grains with solubles (DDGS) prepared with varying condensed distillers soluble (10, 15, and 20%, wb), drying temperature (100, 200, and 300°C), cooling temperature (-12, 0, and 35°C) and cooling time (0 and 1 month) levels. Response variables were selected based on our previous research results, and included aerated bulk density, Hausner Ratio, angle of repose, Total Flowability Index, and Jenike Flow Function. Various neural network models were developed using multiple input variables in order to predict single response variables or multiple response variables simultaneously. The NN …
Single-Screw Extrusion Modeling Effects On Extrusion Processing Parameters And Physical Properties Of Ddgs-Based Nile Tilapia ( Oreochromis Niloticus ) Feeds, Ferouz Y. Ayadi, Parisa Fallahi, Kurt A. Rosentrater, Kasiviswanathan Muthukumarappan
Single-Screw Extrusion Modeling Effects On Extrusion Processing Parameters And Physical Properties Of Ddgs-Based Nile Tilapia ( Oreochromis Niloticus ) Feeds, Ferouz Y. Ayadi, Parisa Fallahi, Kurt A. Rosentrater, Kasiviswanathan Muthukumarappan
Kurt A. Rosentrater
A single-screw laboratory extruder was used to conduct an L 18 (2 2 X 3 6 ) Taguchi fractional factorial study of aquafeed processing. The ingredients were based on a formulation for nutritionally-balanced Nile tilapia diets containing distillers dried grains with solubles (DDGS) and soybean meal as the main protein sources, in addition to constant amounts of corn flour, whey, and fish meal. The effects of three levels of DDGS (20, 30 and 40%), soybean meal (30, 40 and 50%), ingredient moisture content (20, 30 and 40% db), screw speed (100, 150 and 200 rpm), barrel temperatures (80-100-100°C, 80-120-120°C and …
Fish Acoustics: Physics-Based Modeling And Measurement, Davis Benjamin Reeder
Fish Acoustics: Physics-Based Modeling And Measurement, Davis Benjamin Reeder
Journal of Marine Science and Technology
The U.S. Office of Naval Research has sponsored research in the area of marine organism acoustics for many years. The research program has included development of theoretical physics-based acoustic scattering models of single animals, high-resolution laboratory measurements of scattering by individual animals, and at-sea field experiments. The program has been focused on the backscattered signal, but has also included investigation of the forward-scattered signal. Downward-looking acoustic surveys using ship borne echosounders rely on the backscattered signal and provide non-invasive, non-destructive, rapid, high-resolution, large area survey capability compared to traditional net tows. Horizontally-oriented acoustic surveys provide the opportunity to investigate both …
15n Tracer And Modeling Analyses Of Nutrient Transport Through Lakes In A Subalpine Watershed, David M. Epstein
15n Tracer And Modeling Analyses Of Nutrient Transport Through Lakes In A Subalpine Watershed, David M. Epstein
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Lakes have historically been overlooked as important nutrient processors within their watersheds. In general ecologists have focused on streams as zones of uptake and transformation, while viewing lakes as simple nutrient traps. However, recent research has highlighted the large influence that lakes may have on water chemistry within their watersheds. Within the field of limnology, researchers have traditionally focused on the pelagic zone for in-lake production. Further research in shallow lakes has highlighted the role benthic production within the littoral zone plays in the lake ecosystem. The greater influence of lakes is highlighted when comparing watersheds containing lakes with watersheds …
Electromagnetic And Heat Transfer Modeling Of Microwave Heating In Domestic Ovens, Krishnamoorthy Pitchai
Electromagnetic And Heat Transfer Modeling Of Microwave Heating In Domestic Ovens, Krishnamoorthy Pitchai
Department of Food Science and Technology: Dissertations, Theses, and Student Research
Microwave (MW) ovens are used extensively for heating a variety of not-ready-to-eat food products. It is vital to achieve target temperature uniformly throughout the food to inactivate foodborne pathogens to assure safety. Non-uniform heating of foods in microwave ovens is the major concern in assuring microbiological safety of such products. The non-uniform heating of foods in domestic microwave ovens is due to complex interactions of microwaves with foods. A comprehensive coupled electromagnetic and heat transfer model was developed using finite-difference time-domain based numerical method to understand the complex interaction of microwaves with foods. Simulation parameters such as cell size, heating …
Modeling Biological Membranes With Circuit Boards And Measuring Electrical Signals In Axons: Student Laboratory Exercises, Martha M. Robinson, Jonathan M. Martin, Harold L. Atwood, Robin L. Cooper
Modeling Biological Membranes With Circuit Boards And Measuring Electrical Signals In Axons: Student Laboratory Exercises, Martha M. Robinson, Jonathan M. Martin, Harold L. Atwood, Robin L. Cooper
Biology Faculty Publications
This is a demonstration of how electrical models can be used to characterize biological membranes. This exercise also introduces biophysical terminology used in electrophysiology. The same equipment is used in the membrane model as on live preparations. Some properties of an isolated nerve cord are investigated: nerve action potentials, recruitment of neurons, and responsiveness of the nerve cord to environmental factors.
A Time-Efficient Method For Analyzing Bone Strain With Large Subject Pools, Daniel Leib, Eric Dugan, Henry Wang
A Time-Efficient Method For Analyzing Bone Strain With Large Subject Pools, Daniel Leib, Eric Dugan, Henry Wang
Daniel Leib
No abstract provided.
Methodologies For Simulating Impacts Of Climate Change On Crop Production, Jeffrey W. White, Gerrit Hoogenboom, Bruce A. Kimball, Gerard W. Wall
Methodologies For Simulating Impacts Of Climate Change On Crop Production, Jeffrey W. White, Gerrit Hoogenboom, Bruce A. Kimball, Gerard W. Wall
United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications
Ecophysiological models are widely used to forecast potential impacts of climate change on future agricultural productivity and to examine options for adaptation by local stakeholders and policy makers. However, protocols followed in such assessments vary to such an extent that they constrain cross-study syntheses and increase the potential for bias in projected impacts. We reviewed 221 peer-reviewed papers that used crop simulation models to examine diverse aspects of how climate change might affect agricultural systems. Six subject areas were examined: target crops and regions; the crop model(s) used and their characteristics; sources and application of data on [CO2] …
Forest Structure And Aboveground Biomass In The Southwestern United States From Modis And Misr, Mark Chopping, Crystal B. Schaaf, Feng Zhao, Zhuosen Wang, Anne Nolin, Gretchen G. Moisen, John V. Martonchik, Michael Bull
Forest Structure And Aboveground Biomass In The Southwestern United States From Modis And Misr, Mark Chopping, Crystal B. Schaaf, Feng Zhao, Zhuosen Wang, Anne Nolin, Gretchen G. Moisen, John V. Martonchik, Michael Bull
USDA Forest Service / UNL Faculty Publications
Red band bidirectional reflectance factor data from the NASA MODerate resolution Imaging Spectroradiometer (MODIS) acquired over the southwestern United States were interpreted through a simple geometric–optical (GO) canopy reflectance model to provide maps of fractional crown cover (dimensionless), mean canopy height (m), and aboveground woody biomass (Mg ha−1) on a 250 m grid. Model adjustment was performed after dynamic injection of a background contribution predicted via the kernel weights of a bidirectional reflectance distribution function (BRDF) model. Accuracy was assessed with respect to similar maps obtained with data from the NASA Multiangle Imaging Spectroradiometer (MISR) and to contemporaneous …
Modeling And Quantitative Analysis Of White Matter Fiber Tracts In Diffusion Tensor Imaging, Xuwei Liang
Modeling And Quantitative Analysis Of White Matter Fiber Tracts In Diffusion Tensor Imaging, Xuwei Liang
University of Kentucky Doctoral Dissertations
Diffusion tensor imaging (DTI) is a structural magnetic resonance imaging (MRI) technique to record incoherent motion of water molecules and has been used to detect micro structural white matter alterations in clinical studies to explore certain brain disorders. A variety of DTI based techniques for detecting brain disorders and facilitating clinical group analysis have been developed in the past few years. However, there are two crucial issues that have great impacts on the performance of those algorithms. One is that brain neural pathways appear in complicated 3D structures which are inappropriate and inaccurate to be approximated by simple 2D structures, …