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2014

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Physical Sciences and Mathematics

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Articles 661 - 688 of 688

Full-Text Articles in Life Sciences

Unintended Outcomes Of Farmers' Adaptation To Climate Variability: Deforestation And Conservation In Calakmul And Maya Biosphere Reserves, Claudia Rodriguez-Solorzano Jan 2014

Unintended Outcomes Of Farmers' Adaptation To Climate Variability: Deforestation And Conservation In Calakmul And Maya Biosphere Reserves, Claudia Rodriguez-Solorzano

Open Dartmouth: Faculty Open Access Scholarship

Minimizing the impact of climate change on farmer livelihoods is crucial, but adaptation efforts may have unintended consequences for ecosystems, with potential impacts on farmers’ welfare. Unintended outcomes of climate adaptation strategies have been widely discussed, however, empirical exploration has been neglected. Grounded in scholarship on climate adaptation, environmental governance, social–ecological systems, and land-use change, this paper studies whether farmers’ climate adaptation contributes to deforestation or forest conservation. The paper draws on interviews with 353 farmers from 46 communities in Calakmul Biosphere Reserve in Mexico and Maya Biosphere Reserve in Guatemala. Farmers in the area of study have implemented ...


Benthic And Pelagic Pathways Of Methylmercury Bioaccumulation In Estuarine Food Webs Of The Northeast United States, Celia Y. Chen, Mark E. Borsuk, Deenie M. Bugge, Terill Hollweg Jan 2014

Benthic And Pelagic Pathways Of Methylmercury Bioaccumulation In Estuarine Food Webs Of The Northeast United States, Celia Y. Chen, Mark E. Borsuk, Deenie M. Bugge, Terill Hollweg

Open Dartmouth: Faculty Open Access Scholarship

Methylmercury (MeHg) is a contaminant of global concern that bioaccumulates and bioamagnifies in marine food webs. Lower trophic level fauna are important conduits of MeHg from sediment and water to estuarine and coastal fish harvested for human consumption. However, the sources and pathways of MeHg to these coastal fisheries are poorly known particularly the potential for transfer of MeHg from the sediment to biotic compartments. Across a broad gradient of human land impacts, we analyzed MeHg concentrations in food webs at ten estuarine sites in the Northeast US (from the Hackensack Meadowlands, NJ to the Gulf of Maine). MeHg concentrations ...


The Initial Phases Of A Consistent Pricing System That Reflects The Online Sale Value Of A Horse, Curran A. Prettyman Jan 2014

The Initial Phases Of A Consistent Pricing System That Reflects The Online Sale Value Of A Horse, Curran A. Prettyman

Lewis Honors College Capstone Collection

Horses are one of the most uniquely priced commodities. This document provides a solution to an industry-wide weakness of inconsistent pricing and confusion. In the following report, an evaluation of the industry flaw is presented, an econometric approach is described in full, and a solution is proposed using insight gained from a regression analysis. This report uses an econometric approach to determine the impact of hunter jumper horse qualities on internet sale prices. Data is compiled from bigeq.com for seventy-eight horses in the states of Illinois, Indiana, Kentucky, Michigan, and Ohio. A linear regression analysis for twelve variables establishes ...


Landowners' Perceptions Of Risk In Grassland Management: Woody Plant Encroachment And Prescribed Fire, Ryan N. Harr, Lois Wright Morton, Shannon R. Rusk, David M. Engle, James R. Miller, Diane M. Debinski Jan 2014

Landowners' Perceptions Of Risk In Grassland Management: Woody Plant Encroachment And Prescribed Fire, Ryan N. Harr, Lois Wright Morton, Shannon R. Rusk, David M. Engle, James R. Miller, Diane M. Debinski

Ecology, Evolution and Organismal Biology Publications

Ecologists recognize that fire and herbivory are essential to maintaining habitat quality in grassland ecosystems. Prescribed fire and grazing are typically used on public reserves to increase biodiversity, improve grassland productivity, and control encroachment of woody plants. However, these tools, particularly prescribed fire, have not been widely adopted by private landowners. Fire suppression and prescribed fire are strategies that present competing risks to owners who make management decisions. We explore landowner perceptions of risk associated with (1) eastern redcedar (Juniperus virginiana) encroachment, and (2) the use of prescribed fire to control woody species in the Grand River Grasslands of Iowa ...


Connecting Soil Organic Carbon And Root Biomass With Land-Use And Vegetation In Temperate Grassland, Devan Allen Mcgranahan, Aaron Lee Daigh, Jessica J. Veenstra, David M. Engle, James R. Miller, Diane M. Debinski Jan 2014

Connecting Soil Organic Carbon And Root Biomass With Land-Use And Vegetation In Temperate Grassland, Devan Allen Mcgranahan, Aaron Lee Daigh, Jessica J. Veenstra, David M. Engle, James R. Miller, Diane M. Debinski

Ecology, Evolution and Organismal Biology Publications

Soils containmuch of Earth’s terrestrial organic carbon but are sensitive to land-use. Rangelands are important to carbon dynamics and are among ecosystems most widely impacted by land-use. While common practices like grazing, fire, and tillage affect soil properties directly related to soil carbon dynamics, their magnitude and direction of change vary among ecosystems and with intensity of disturbance. We describe variability in soil organic carbon (SOC) and root biomass—sampled from 0–170 cm and 0– 100 cm, respectively—in terms of soil properties, land-use history, current management, and plant community composition using linear regression and multivariate ordination. Despite ...


Kentucky Water Resources Research Institute Annual Technical Report Fy 2013, Kentucky Water Resources Research Institute, University Of Kentucky Jan 2014

Kentucky Water Resources Research Institute Annual Technical Report Fy 2013, Kentucky Water Resources Research Institute, University Of Kentucky

KWRRI Annual Technical Reports

The FY 2013 Annual Technical Report for Kentucky consolidates reporting requirements of the Section 104(b) base grant award into a single document that includes: 1) a description of Kentucky Information Transfer activities, 2) citations for related publications, 3) a summary of student support during the reporting period, 4) notable awards and achievements during the year, and 5) publications from prior year projects.

No funds were requested for general program administration activities. However, travel funds were provided to support the participation of the Director and the Associate Director in the annual meeting of the National Institutes for Water Resources in ...


Growth Performance And Economic Analysis Of Indian Major Carps And Tilapia In Rainwater Ponds, Pramod K. Pandey, Laxmi N. Sethi, Limbraj P. Pholane, Sudhindra N. Panda, Vinay K. Pandey, Sagor Biswas, Michelle L. Soupir Jan 2014

Growth Performance And Economic Analysis Of Indian Major Carps And Tilapia In Rainwater Ponds, Pramod K. Pandey, Laxmi N. Sethi, Limbraj P. Pholane, Sudhindra N. Panda, Vinay K. Pandey, Sagor Biswas, Michelle L. Soupir

Agricultural and Biosystems Engineering Publications

Enhancing water resources is crucially important for improving food production in rainfed regions. The income of rural people in these regions is mainly tied with water availability. One option is disseminating rainwater harvesting for conserving rainwater and utilizing it for food production. Here we propose a rainwater harvesting method, which helps to conserve rainwater in the rainy season, provide water storage for rearing fish and facilitate supplemental irrigation to crops in the dry season. To verify the suitability of rainwater harvesting approach for improving food production and rural income, here we conducted a field study, which involved designing rainwater harvesting ...


Evaluating Pha Productivity Of Bioengineered Rhodosprillum Rubrum, Huanan Jin, Basil Nikolau Jan 2014

Evaluating Pha Productivity Of Bioengineered Rhodosprillum Rubrum, Huanan Jin, Basil Nikolau

Biochemistry, Biophysics and Molecular Biology Publications

This study explored the potential of using Rhodosprillum rubrum as the biological vehicle to convert chemically simple carbon precursors to a value-added bio-based product, the biopolymer PHA. R. rubrum strains were bioengineered to overexpress individually or in various combinations, six PHA biosynthetic genes (phaC1, phaA, phaB, phaC2, phaC3, and phaJ), and the resulting nine over-expressing strains were evaluated to assess the effect on PHA content, and the effect on growth. These experiments were designed to genetically evaluate: 1) the role of each apparently redundant PHA polymerase in determining PHA productivity; 2) identify the key gene(s) within the pha biosynthetic ...


A Brief Review On Leading Big Data Models, Sugam Sharma, Udoyara S. Tim, Johnny S. Wong, Shashi Gadia, Subhash Sharma Jan 2014

A Brief Review On Leading Big Data Models, Sugam Sharma, Udoyara S. Tim, Johnny S. Wong, Shashi Gadia, Subhash Sharma

Agricultural and Biosystems Engineering Publications

Today, science is passing through an era of transformation, where the inundation of data, dubbed data deluge is influencing the decision making process. The science is driven by the data and is being termed as data science. In this internet age, the volume of the data has grown up to petabytes, and this large, complex, structured or unstructured, and heterogeneous data in the form of “Big Data” has gained significant attention. The rapid pace of data growth through various disparate sources, especially social media such as Facebook, has seriously challenged the data analytic capabilities of traditional relational databases. The velocity ...


Nutrient Removal By Prairie Filter Strips In Agricultural Landscapes, Xiaobo Zhou, Matthew J. Helmers, Heidi Asbjornsen, Randall K. Kolka, Mark D. Tomer, Richard M. Cruse Jan 2014

Nutrient Removal By Prairie Filter Strips In Agricultural Landscapes, Xiaobo Zhou, Matthew J. Helmers, Heidi Asbjornsen, Randall K. Kolka, Mark D. Tomer, Richard M. Cruse

Agricultural and Biosystems Engineering Publications

Nitrogen (N) and phosphorus (P) from agricultural landscapes have been identified as primary sources of excess nutrients in aquatic systems. The main objective of this study was to evaluate the effectiveness of prairie filter strips (PFS) in removing nutrients from cropland runoff in 12 small watersheds in central Iowa. Four treatments with PFS of different spatial coverage and distribution (No-PFS, 10% PFS, 10% PFS with strips, and 20% PFS with strips) were arranged in a balanced incomplete block design across four blocks in 2007. A no-tillage two-year corn (Zea mays L.) –soybean (Glycine max [L.] Merr.) rotation was grown in ...


Assessing Linkages Between E. Coli Levels In Streambed Sediment And Overlying Water In An Agricultural Watershed In Iowa During The First Heavy Rain Event Of The Season, Pramod K. Pandey, Michelle L. Soupir Jan 2014

Assessing Linkages Between E. Coli Levels In Streambed Sediment And Overlying Water In An Agricultural Watershed In Iowa During The First Heavy Rain Event Of The Season, Pramod K. Pandey, Michelle L. Soupir

Agricultural and Biosystems Engineering Publications

This study involved field observations in Squaw Creek watershed, located in central Iowa, to investigate the impact of a heavy rain event (rainfall of 71 mm in 24 h) on E. coli levels in the streambed sediment and overlying water. We assessed relationships between streamflow and E. coli and nutrient levels in the water column and streambed sediment. The results showed that during a heavy rain event, E. coli levels in the water column varied considerably, ranging from 360 to 37,553 CFU per 100 mL with a mean of 7,598 CFU per 100 mL. Elevated streamflow resulted in ...


Rare Books And Social Science, Donald J. Polzella Jan 2014

Rare Books And Social Science, Donald J. Polzella

Psychology Faculty Publications

An essay on the impact of the works in the Imprints and Impressions: Milestones in Human Progress, an exhibition of rare books from the collection of Stuart Rose. Exhibition was held Sept. 29-Nov. 9, 2014, at the University of Dayton.


Exposure Of Feral Swine (Sus Scrofa) In The United States To Selected Pathogens, John A. Baroch, Carl A. Gagnon, Sonia Lacouture, Marcelo Gottschalk Jan 2014

Exposure Of Feral Swine (Sus Scrofa) In The United States To Selected Pathogens, John A. Baroch, Carl A. Gagnon, Sonia Lacouture, Marcelo Gottschalk

USDA National Wildlife Research Center - Staff Publications

Feral swine (Sus scrofa) are widely distributed in the United States. In 2011 and 2012, serum samples and tonsils were recovered from 162 and 37 feral swine, respectively, in the US to evaluate exposure to important swine endemic pathogens. Antibodies against porcine reproductive and respiratory syndrome virus (PRRSV) and porcine circovirus type 2 (PCV2) were found in 2.5% and 25.3% of tested sera, respectively. Positive serological reactions against Mycoplasma hyopneumoniae and Actinobacillus pleuropneumoniae have been detected in 19.7% and 69.7% of animals. More than 15% of animals presented antibodies against these 2 pathogens simultaneously. Most animals ...


Fragmentation Of The Kitengela Ecosystem, Kenya, Robert Lilieholm Jan 2014

Fragmentation Of The Kitengela Ecosystem, Kenya, Robert Lilieholm

University of Maine Office of Research Administration: Grant Reports

Gypsum mines develop into water ponds which attract livestock and wildlife to drink water. The soil is sticky, slippery and unstable; there is loss of wildlife and herders' normally loose livestock in the process as they get trapped while drinking water. The water ponds have fish which has attracted fishermen from other areas...wildlife/livestock and local communities compete for water resources from L. Jipe. The shoats were driven away by elephants. Women who were fetching water literally ran away when the elephants approached. Watering places are good sites for livestock predation too.


Soil Seed Banks Of Fringing Salt Lake Vegetation In Arid Western Australia - Density, Composition And Implications For Postmine Restoration Using Topsoil, Eddie J. Van Etten, Brett Neasham, Sarah Dalgleish Jan 2014

Soil Seed Banks Of Fringing Salt Lake Vegetation In Arid Western Australia - Density, Composition And Implications For Postmine Restoration Using Topsoil, Eddie J. Van Etten, Brett Neasham, Sarah Dalgleish

ECU Publications Post 2013

Although studies of seed banks in arid ecosystems are commonplace, they are lacking for the large arid zone of Western Australia. Across the six major plant communities fringing a large salt lake within this zone, topsoil (0-5 cm depth) was collected from 12 to 36 sites per community. Samples were dried, spread out on a bed of vermiculite in seedling trays and placed in a well-watered glasshouse to determine the readily germinable component of the soil seed bank. Subsamples of topsoil were treated with smoke water, hot water or flooding to help determine seed bank of species with dormancy mechanisms ...


Live-Cell Imaging Of Pol Ii Promoter Activity To Monitor Gene Expression With Rna Imagetag Reporters, Ilchung Shin, Judhajeet Ray, Vinayak Gupta, Muslum Ilgu, Jonathan Scott Beasley, Lee Bendickson, Samir Mehanovic, George A. Kraus, Marit Nilsen-Hamilton Jan 2014

Live-Cell Imaging Of Pol Ii Promoter Activity To Monitor Gene Expression With Rna Imagetag Reporters, Ilchung Shin, Judhajeet Ray, Vinayak Gupta, Muslum Ilgu, Jonathan Scott Beasley, Lee Bendickson, Samir Mehanovic, George A. Kraus, Marit Nilsen-Hamilton

Biochemistry, Biophysics and Molecular Biology Publications

We describe a ribonucleic acid (RNA) reporter system for live-cell imaging of gene expression to detect changes in polymerase II activity on individual promoters in individual cells. The reporters use strings of RNA aptamers that constitute IMAGEtags (Intracellular MultiAptamer GEnetic tags) that can be expressed from a promoter of choice. For imaging, the cells are incubated with their ligands that are separately conjugated with one of the FRET pair, Cy3 and Cy5. The IMAGEtags were expressed in yeast from the GAL1, ADH1 or ACT1 promoters. Transcription from all three promoters was imaged in live cells and transcriptional increases from the ...


Long-Term Time-Series Study Of Salp Population Dynamics In The Sargasso Sea, Joshua P. Stone, Deborah K. Steinberg Jan 2014

Long-Term Time-Series Study Of Salp Population Dynamics In The Sargasso Sea, Joshua P. Stone, Deborah K. Steinberg

VIMS Articles

Salps are bloom-forming, pelagic tunicates with high grazing rates on phytoplankton, with the potential to greatly increase vertical particle flux through rapidly sinking fecal pellets. However, the frequency and causes of salp blooms are not well known. We quantified salps from day and night zooplankton net tows in the epipelagic zone of the North Atlantic subtropical gyre as part of the Bermuda Atlantic Time-series Study (BATS). Salp species and size were quantified in biweekly to monthly tows from April 1994 to November 2011. Twenty-one species of salps occurred at the BATS site over this time period, and the most common ...


A Network That Really Works - The Application Of Artificial Neural Networks To Improve Yield Predictions And Nitrogen Management In Western Australia, Jinsong Leng, Andreas Neuhaus, Leisa Armstrong Jan 2014

A Network That Really Works - The Application Of Artificial Neural Networks To Improve Yield Predictions And Nitrogen Management In Western Australia, Jinsong Leng, Andreas Neuhaus, Leisa Armstrong

ECU Publications Post 2013

Yield predictions are notorious for being difficult due to many interdependent factors such as rainfall, soil properties, plant health, plant density etc. This study is based upon the author’s previously published work and extends its findings by further investigating the best mathematical solution to this dilemma. Artificial intelligence (AI) techniques have been applied to a large set of soil, plant, rainfall, and yield data from CSBP’s field research trial program. Here we further differentiate by investigate two ANN techniques, a genetic algorithm with back propagation neural networks (GA-BP-NN) and a particle swarm optimization with back propagation neural networks ...


A Genetic Algorithm-Based Feature Selection, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen Jan 2014

A Genetic Algorithm-Based Feature Selection, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen

ECU Publications Post 2013

This article details the exploration and application of Genetic Algorithm (GA) for feature selection. Particularly a binary GA was used for dimensionality reduction to enhance the performance of the concerned classifiers. In this work, hundred (100) features were extracted from set of images found in the Flavia dataset (a publicly available dataset). The extracted features are Zernike Moments (ZM), Fourier Descriptors (FD), Lengendre Moments (LM), Hu 7 Moments (Hu7M), Texture Properties (TP) and Geometrical Properties (GP). The main contributions of this article are (1) detailed documentation of the GA Toolbox in MATLAB and (2) the development of a GA-based feature ...


A Critical Review Of Habitat Use By Feral Cats And Key Directions For Future Research And Management, Tim S. Doherty, Andrew J. Bengsen, Robert A. Davis Jan 2014

A Critical Review Of Habitat Use By Feral Cats And Key Directions For Future Research And Management, Tim S. Doherty, Andrew J. Bengsen, Robert A. Davis

ECU Publications Post 2013

Feral cats (Felis catus) have a wide global distribution and cause significant damage to native fauna. Reducing their impacts requires an understanding of how they use habitat and which parts of the landscape should be the focus of management. We reviewed 27 experimental and observational studies conducted around the world over the last 35 years that aimed to examine habitat use by feral and unowned cats. Our aims were to: (1) summarise the current body of literature on habitat use by feral and unowned cats in the context of applicable ecological theory (i.e. habitat selection, foraging theory); (2) develop ...


A Survey Of Image Processing Techniques For Agriculture, Lalit Saxena, Leisa Armstrong Jan 2014

A Survey Of Image Processing Techniques For Agriculture, Lalit Saxena, Leisa Armstrong

ECU Publications Post 2013

Computer technologies have been shown to improve agricultural productivity in a number of ways. One technique which is emerging as a useful tool is image processing. This paper presents a short survey on using image processing techniques to assist researchers and farmers to improve agricultural practices. Image processing has been used to assist with precision agriculture practices, weed and herbicide technologies, monitoring plant growth and plant nutrition management. This paper highlights the future potential for image processing for different agricultural industry contexts.


Mobile Applications For Indian Agriculture Sector: A Case Study, Pratik Shah, Niketa Gandhi, Leisa Armstrong Jan 2014

Mobile Applications For Indian Agriculture Sector: A Case Study, Pratik Shah, Niketa Gandhi, Leisa Armstrong

ECU Publications Post 2013

Government, private agencies and the general public are often interested in the decisions made by the Indian farmers as they have large influences beyond the farm boundary. Over many years, the process of adoption of new technologies and policies in the Indian agricultural sector has received considerable academic attention highlighting the role of many social, financial and other influences on their decision making. The Indian government and other development agencies promote income generating projects as a way of encouraging growth through increased agricultural production and the protection of the natural resource base. The impact of new technology to economic growth ...


An Artificial Neural Network For Predicting Crops Yield In Nepal, Tirtha Ranjeet, Leisa Armstrong Jan 2014

An Artificial Neural Network For Predicting Crops Yield In Nepal, Tirtha Ranjeet, Leisa Armstrong

ECU Publications Post 2013

This paper examines the application of artificial neural networks (ANNs) for predicting crop yields for an agricultural region in Nepal. The neural network algorithm has become an effective data mining tool and the outcome produced by this algorithm is considered to be less error prone than other computer science techniques. The backpropagation algorithm which iteratively finds a suitable weight value is considered for computing the error derivative. Agricultural data was collected from thirteen years from paddy field cultivation in the Siraha district, an eastern region in Nepal, and used for this investigation of neural networks. Additionally, climatic parameters including rainfall ...


Integrating Soil And Plant Tissue Tests And Using An Artificial Intelligence Method For Data Modelling Is Likely To Improve Decisions For In-Season Nitrogen Management, Andreas Neuhaus, Leisa Armstrong, Jinsong Leng, Dean Diepeveen, Geoff Anderson Jan 2014

Integrating Soil And Plant Tissue Tests And Using An Artificial Intelligence Method For Data Modelling Is Likely To Improve Decisions For In-Season Nitrogen Management, Andreas Neuhaus, Leisa Armstrong, Jinsong Leng, Dean Diepeveen, Geoff Anderson

ECU Publications Post 2013

This paper hypothesizes that there is value in combining soil, climate and plant tissue data to give more reliable advice on nitrogen top-ups in-season when compared with models that are currently available. The benefit of soil and climate data is to factor in N mineralisation and potential yield while plant test data is a more direct approach of yield estimates when considering firstly plant N uptake from the whole soil profile and secondly biomass (important yield component). Plant test data are closer to yield in time and space than soil test data, shortening the time period for any yield prognosis ...


Application Of Cellular Neural Networks And Naive Bayes Classifier In Agriculture, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen Jan 2014

Application Of Cellular Neural Networks And Naive Bayes Classifier In Agriculture, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen

ECU Publications Post 2013

This article describes the use of Cellular Neural Networks (a class of Ordinary Differential Equation (ODE)), Fourier Descriptors (FD) and NaiveBayes Classifier (NBC) for automatic identification of images of plant leaves. The novelty of this article is seen in the use of CNN for image segmentation and a combination FDs with NBC. The main advantage of the segmentation method is the computation speed compared with other edge operators such as canny, sobel, Laplacian of Gaussian (LoG). The results herein show the potential of the methods in this paper for examining different agricultural images and distinguishing between different crops and weeds ...


Geospatial Data Pre-Processing On Watershed Datasets: A Gis Approach, Sreedhar Nallan, Leisa Armstrong, Barry Croke, Amiya K. Tripathy Jan 2014

Geospatial Data Pre-Processing On Watershed Datasets: A Gis Approach, Sreedhar Nallan, Leisa Armstrong, Barry Croke, Amiya K. Tripathy

ECU Publications Post 2013

Spatial data mining helps to identify interesting patterns from the spatial data sets. However, geo spatial data requires substantial data pre-processing before data can be interrogated further using data mining techniques. Multi-dimensional spatial data has been used to explain the spatial analysis and SOLAP for pre-processing data. This paper examines some of the methods for pre-processing of the data using Arc GIS 10.2 and Spatial Analyst with a case study dataset of a watershed.


Decision Support System Data For Farmer Decision Making, Pornchai Taechatanasat, Leisa Armstrong Jan 2014

Decision Support System Data For Farmer Decision Making, Pornchai Taechatanasat, Leisa Armstrong

ECU Publications Post 2013

The capacity of farmers and agricultural scientists to be able to make in-season decisions is dependent on accurate climate, soil and plant data. This paper will provide a review of the types of environmental and crop data that can be collected by sensors which can used for decision support systems (DSS) or be further interrogated for real time data mining and analysis. This paper also presents a review of the data requirements for agricultural decision making by firstly reviewing decision support frameworks and agricultural DSSs, data acquisition, sensors for data acquisition and examples of data incorporation for agricultural DSSs.


Genetic Algorithm With Logistic Regression For Prediction Of Progression To Alzheimer's Disease, Piers Johnson, Luke Vandewater, William Wilson, Paul Maruff, Greg Savage, Petra Graham, Lance S. Macaulay, Kathryn A. Ellis, Cassandra Szoeke, Ralph N. Martins, Christopher Rowe, Colin L. Masters, David Ames, Ping Zhang Jan 2014

Genetic Algorithm With Logistic Regression For Prediction Of Progression To Alzheimer's Disease, Piers Johnson, Luke Vandewater, William Wilson, Paul Maruff, Greg Savage, Petra Graham, Lance S. Macaulay, Kathryn A. Ellis, Cassandra Szoeke, Ralph N. Martins, Christopher Rowe, Colin L. Masters, David Ames, Ping Zhang

ECU Publications Post 2013

Assessment of risk and early diagnosis of Alzheimer's disease (AD) is a key to its prevention or slowing the progression of the disease. Previous research on risk factors for AD typically utilizes statistical comparison tests or stepwise selection with regression models. Outcomes of these methods tend to emphasize single risk factors rather than a combination of risk factors. However, a combination of factors, rather than any one alone, is likely to affect disease development. Genetic algorithms (GA) can be useful and efficient for searching a combination of variables for the best achievement (eg. accuracy of diagnosis), especially when the ...