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Articles 1 - 30 of 39

Full-Text Articles in Physical Sciences and Mathematics

Raster Map For Prediction Of Heading Date Of Timothy By Nonparametric Dvr Method, T Saigusa, K Nakashima, N Noshiro, M Tsutsumi Jun 2024

Raster Map For Prediction Of Heading Date Of Timothy By Nonparametric Dvr Method, T Saigusa, K Nakashima, N Noshiro, M Tsutsumi

IGC Proceedings (1997-2023)

A system for making a raster map for predicting the heading date of timothy (Phleum pratense L.) at first cutting for every 1km2 plot was developed to supply information for smooth harvest of forage of good quality in a dairy farming area of Hokkaido. Daily mean air temperature for every 1km2 plot was estimated with data from a network of meteorological observatories and data base of the Japan Meteorological Agency. Day length could be calculated from latitude and calendar day. Using these two environmental factors, heading date of timothy at first cutting for each area was predicted by nonparametric DVR …

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Ruminal Fill Effect Of Forages: Prediction And Relationship With Voluntary Intake, R Baumont, A Barlet, J Jamot Feb 2024

Ruminal Fill Effect Of Forages: Prediction And Relationship With Voluntary Intake, R Baumont, A Barlet, J Jamot

IGC Proceedings (1997-2023)

Voluntary dry matter intake (VDMI) and rumen fill were measured on sheep fed with 18 forages ranging from wheat straw to lucerne hay. In vivo fill effect (IVFE i.e. rumen DM pool divided by VDMI), in situ degradability, cell-wall composition, pepsin-cellulase digestibility and in vitro gas production were determined. In situ estimated fill effect (ISFE) was calculated as the retention time of insoluble potential degradable and undegradable fractions using a constant rate of passage. ISFE and IVFE were highly correlated (r2=0.89) but ISFE values were lower than IVFE values because in situ degradability does not integrate comminution time of …

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Effects On Intake Of Supplementing Low-Quality Roughage With Protein-Rich Feeds, J.J. M.H. Ketelaars, G A. Kaasschieter, M Kane Feb 2024

Effects On Intake Of Supplementing Low-Quality Roughage With Protein-Rich Feeds, J.J. M.H. Ketelaars, G A. Kaasschieter, M Kane

IGC Proceedings (1997-2023)

Intake responses of ruminants to supplementation with protein-rich concentrates or legume hays have been related to the ratio of nitrogen (N) content and organic matter digestibility (OMD) of the basal feed. Marginal intake effect of supplements, i.e. change of organic matter intake (OMI) from the basal feed per unit OMI from supplement, decreased on average from 1.7 to 0 and -0.8 g. g-1 at N/OMD of 0.010, 0.016 and > 0.030 g. g-1, respectively. Marginal effect of supplements defined as change of total digestible organic matter intake (DOMI) per g DOMI from supplement was 2.5, 1 and 0.3 g. g-1 for …

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Global Forecasts Of Marine Heatwaves, Michael Jacox Nov 2023

Global Forecasts Of Marine Heatwaves, Michael Jacox

Benefits of Ocean Observing Catalog (BOOC)

Timestamp: 44862.4486656366 Email Address: michael.jacox@noaa.gov Name: Michael Jacox Affiliation: NOAA Southwest Fisheries Science Center and NOAA Physical Sciences Laboratory Program Office/Division: Position Title: Research oceanographer Title of use case: Global forecasts of marine heatwaves Authors or Creators: Jacox, M., Alexander, M., Amaya, D., Becker, B., Bograd, S., Brodie, S., Hazen, E., Pozo Buil, M., Tommasi, D., Hsu, C.-W., Smith, C. Affiliations of Authors or Creators: NOAA Physical Sciences Laboratory; NOAA Southwest Fisheries Science Center; University of Colorado; University of Miami; University of California Santa Cruz Contributors: Affiliation of Contributors: Description: Researchers used climate forecast systems to develop global marine heatwave …

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A Simple Vegetation Criterion (Ndf Content) May Account For Diet Choices Of Cattle Between Forages Varying In Maturity Stage And Physical Accessibility, Cécile Ginane, R. Baumont Jun 2023

A Simple Vegetation Criterion (Ndf Content) May Account For Diet Choices Of Cattle Between Forages Varying In Maturity Stage And Physical Accessibility, Cécile Ginane, R. Baumont

IGC Proceedings (1997-2023)

The management of extensively grazed pastures requires an understanding and prediction of the diet choices of herbivores grazing on vegetation that is qualitatively (maturity stage) and quantitatively (biomass, sward height) heterogeneous. The Optimal Foraging Theory (OFT, Stephens & Krebs, 1986), bases its predictions on the relative energy intake rate (EIR) of forages. However, as EIRs are difficult to assess at pasture and are subject to wide intra- and inter-individual variations, another vegetation criterion was sought (accessibility, quality), by-passing the animal's influence, to predict cattle diet choices quantitatively.

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A Simple Vegetation Criterion (Ndf Content) May Account For Diet Choices Of Cattle Between Forages Varying In Maturity Stage And Physical Accessibility, Cécile Ginane, R. Baumont Mar 2023

A Simple Vegetation Criterion (Ndf Content) May Account For Diet Choices Of Cattle Between Forages Varying In Maturity Stage And Physical Accessibility, Cécile Ginane, R. Baumont

IGC Proceedings (1997-2023)

The management of extensively grazed pastures requires an understanding and prediction of the diet choices of herbivores grazing on vegetation that is qualitatively (maturity stage) and quantitatively (biomass, sward height) heterogeneous. The Optimal Foraging Theory (OFT, Stephens & Krebs, 1986), bases its predictions on the relative energy intake rate (EIR) of forages. However, as EIRs are difficult to assess at pasture and are subject to wide intra- and inter-individual variations, another vegetation criterion was sought (accessibility, quality), by-passing the animal's influence, to predict cattle diet choices quantitatively.

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Biophysical Interactions Control The Progression Of Harmful Algal Blooms In Chesapeake Bay: A Novel Lagrangian Particle Tracking Model With Mixotrophic Growth And Vertical Migration, Jilian Xiong, Jian Shen, Qubin Qin, Michelle C. Tomlinson, Yinglong J. Zhang, Xun Cai, Fei Yi, Linlin Cui, Margaret R. Mulholland Jan 2023

Biophysical Interactions Control The Progression Of Harmful Algal Blooms In Chesapeake Bay: A Novel Lagrangian Particle Tracking Model With Mixotrophic Growth And Vertical Migration, Jilian Xiong, Jian Shen, Qubin Qin, Michelle C. Tomlinson, Yinglong J. Zhang, Xun Cai, Fei Yi, Linlin Cui, Margaret R. Mulholland

OES Faculty Publications

Climate change and nutrient pollution contribute to the expanding global footprint of harmful algal blooms. To better predict their spatial distributions and disentangle biophysical controls, a novel Lagrangian particle tracking and biological (LPT-Bio) model was developed with a high-resolution numerical model and remote sensing. The LPT-Bio model integrates the advantages of Lagrangian and Eulerian approaches by explicitly simulating algal bloom dynamics, algal biomass change, and diel vertical migrations along predicted trajectories. The model successfully captured the intensity and extent of the 2020 Margalefidinium polykrikoides bloom in the lower Chesapeake Bay and resolved fine-scale structures of bloom patchiness, demonstrating a reliable …

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Collision Risk Prediction For Small Ships In South Korea Via Optimization Of Wireless Communication Period, So-Ra Kim, Myoung-Ki Lee, Sangwon Park, Dae-Won Kim, Young-Soo Park Jan 2023

Collision Risk Prediction For Small Ships In South Korea Via Optimization Of Wireless Communication Period, So-Ra Kim, Myoung-Ki Lee, Sangwon Park, Dae-Won Kim, Young-Soo Park

Journal of Marine Science and Technology

Since the emergence of COVID-19, there has been a global surge in demand for marine leisure activities. In Korea, the population using marine leisure has risen approximately 192% to 20,406 people, compared to 6,966 people in the year 2000, indicating a continuous growth over the past two decades.. Maritime transportation has become increasingly intricate worldwide due to the development of increasingly autonomous, larger, and faster ships. To effectively address potential hazards in such complex traffic environments, it is imperative to anticipate future scenarios and respond rapidly. However, small vessels account for the highest proportion of marine accidents, exhibit movements that …

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Estimation Of Organic Matter Digestibility And Intake From Faecal Organic Matter And Daily N Excretion And Concentration, C. M. Ferri, N. P. Stritzler, M. A. Brizuela Dec 2021

Estimation Of Organic Matter Digestibility And Intake From Faecal Organic Matter And Daily N Excretion And Concentration, C. M. Ferri, N. P. Stritzler, M. A. Brizuela

IGC Proceedings (1997-2023)

This study was performed with grazing sheep, to establish: a) if the amount of total faecal N (C; in g 100g-1 of organic matter intake (OMI)) remains constant at three feeding levels, in four utilisation periods of deferred Panicum coloratum cv. Verde; b) the relationship between C and faecal N fractions, and c) the relationship between faecal daily excretion of OM and N, and OMI. Intake increased (P< 0.01) with utilisation period, and was related (r = - 0.82; P< 0.01) to the protein content of food, the insoluble N fraction (r = -0.49; P< 0.01) and the soluble:insoluble N ratio (r = 0.41; P< 0.01) in faeces. No relation with total N concentration (r = -0.22; P> 0.05) or soluble N fraction (r = -0.02; P> 0.05) in faeces could be found. Daily excretion of OM and N were positively related (R2 = 0.93 and 0.96, respectively; …

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Chlorophyll Concentration (Spad Values) As An Indicator Of Crude Protein Content And As A Selection Criterion In Grass Breeding, N. Gáborèík Oct 2021

Chlorophyll Concentration (Spad Values) As An Indicator Of Crude Protein Content And As A Selection Criterion In Grass Breeding, N. Gáborèík

IGC Proceedings (1997-2023)

The main aim of the study was to analyse chlorophyll a + b content (SPAD values) determined by portable chlorophyllmeter (SPAD- 502, Minolta, Japan) and crude protein content in leaves of timothy, coocksfoot, perennial ryegrass and meadow fescue (total 24 cultivars). Differences between both parameters were confirmed and a close relationship between chlorophyll content (SPAD values) and crude protein concentration was found. Correlation coefficient between SPAD and crude protein varied from 0.541++ for ryegrass to 0.906++ for timothy. This fact should be used for selection of grasses with higher crude protein content and/or better use of mineral soil …

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Studies On The Techniques Of Continuing Control Of Rodent Pests On Grassland, Yuping Yang, Weihui Dong, Liqing Wang Jun 2021

Studies On The Techniques Of Continuing Control Of Rodent Pests On Grassland, Yuping Yang, Weihui Dong, Liqing Wang

IGC Proceedings (1997-2023)

No abstract provided.

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Algebraic Graph-Assisted Bidirectional Transformers For Molecular Property Prediction, Dong Chen, Kaifu Gao, Duc Duy Nguyen, Xin Chen, Yi Jiang, Guo-Wei Wei, Feng Pan Jun 2021

Algebraic Graph-Assisted Bidirectional Transformers For Molecular Property Prediction, Dong Chen, Kaifu Gao, Duc Duy Nguyen, Xin Chen, Yi Jiang, Guo-Wei Wei, Feng Pan

Mathematics Faculty Publications

The ability of molecular property prediction is of great significance to drug discovery, human health, and environmental protection. Despite considerable efforts, quantitative prediction of various molecular properties remains a challenge. Although some machine learning models, such as bidirectional encoder from transformer, can incorporate massive unlabeled molecular data into molecular representations via a self-supervised learning strategy, it neglects three-dimensional (3D) stereochemical information. Algebraic graph, specifically, element-specific multiscale weighted colored algebraic graph, embeds complementary 3D molecular information into graph invariants. We propose an algebraic graph-assisted bidirectional transformer (AGBT) framework by fusing representations generated by algebraic graph and bidirectional transformer, as well as …

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Deepnec: A Novel Alignment-Free Tool For The Characterization Of Nitrification-Related Enzymes Using Deep Learning, A Step Towards Comprehensive Understanding Of The Nitrogen Cycle, Naveen Duhan Apr 2021

Deepnec: A Novel Alignment-Free Tool For The Characterization Of Nitrification-Related Enzymes Using Deep Learning, A Step Towards Comprehensive Understanding Of The Nitrogen Cycle, Naveen Duhan

Student Research Symposium

Abstract: Nitrification is an important microbial two-step transformation in the global nitrogen cycle, as it is the only natural process that produces nitrate within a system. The functional annotation of nitrification-related enzymes has a broad range of applications in metagenomics, agriculture, industrial biotechnology, etc. The time and resources needed for determining the function of enzymes experimentally are restrictively costly. Therefore, an accurate genome-scale computational prediction of the nitrification-related enzymes has become much more important.In this study, we developed an alignment-free computational approach to determine the nitrification-related enzymes from the sequence itself. We propose deepNEC, a novel end-to-end feature selection and …

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Grassland Production Under Various Meteorological Conditions In Xilingol, Inner Mongolia, China, Ruhan Yi, Masae Shiyomi, Likun Ai Nov 2020

Grassland Production Under Various Meteorological Conditions In Xilingol, Inner Mongolia, China, Ruhan Yi, Masae Shiyomi, Likun Ai

IGC Proceedings (1997-2023)

No abstract provided.

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Identifying Opportunities For Improved Adoption Of New Grazing Innovations, Geoff Kuehne, Rick Llewellyn, Pannell Pannell, Perry Dolling, Roger Wilkinson, Mike Ewing Apr 2020

Identifying Opportunities For Improved Adoption Of New Grazing Innovations, Geoff Kuehne, Rick Llewellyn, Pannell Pannell, Perry Dolling, Roger Wilkinson, Mike Ewing

IGC Proceedings (1997-2023)

Those aiming for high levels of adoption of grazing-related innovation are often frustrated at low and slow uptake by farmers. This paper describes a new tool, ADOPT (Adoption and Diffusion Outcome Prediction Tool), that can be used to evaluate the potential adoptability of grazing innovations (Kuehne et al. 2012). ADOPT aims to: (1) predict an innovation’s likely peak level of adoption and likely time for reaching that peak; (2) encourage users to consider factors affecting adoption during project design; and (3) engage R, D & E managers and practitioners by making adoptability knowledge and considerations more transparent and understandable.

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Formation Of Escherichia Coli O157: H7 Persister Cells In The Lettuce Phyllosphere And Application Of Differential Equation Models To Predict Their Prevalence On Lettuce Plants In The Field, Daniel S. Munther, Michelle Q. Carter, Claude V. Aldric, Renata Ivanek, Maria T. Brandl Jan 2020

Formation Of Escherichia Coli O157: H7 Persister Cells In The Lettuce Phyllosphere And Application Of Differential Equation Models To Predict Their Prevalence On Lettuce Plants In The Field, Daniel S. Munther, Michelle Q. Carter, Claude V. Aldric, Renata Ivanek, Maria T. Brandl

Mathematics and Statistics Faculty Publications

American Society for Microbiology. Escherichia coli O157:H7 (EcO157) infections have been recurrently associated with produce. The physiological state of EcO157 cells surviving the many stresses encountered on plants is poorly understood. EcO157 populations on plants in the field generally follow a biphasic decay in which small subpopulations survive over longer periods of time. We hypothesized that these subpopulations include persister cells, known as cells in a transient dormant state that arise through phenotypic variation in a clonal population. Using three experimental regimes (with growing, stationary at carrying capacity, and decaying populations), we measured the persister cell fractions in culturable EcO157 …

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Modelling Water Fluxes In Plants: From Tissues To Biosphere, Maurizio Mencuccini, Stefano Manzoni, Bradley O. Christoffersen May 2019

Modelling Water Fluxes In Plants: From Tissues To Biosphere, Maurizio Mencuccini, Stefano Manzoni, Bradley O. Christoffersen

School of Earth, Environmental, and Marine Sciences Faculty Publications and Presentations

Contents Summary 1207 I. Introduction 1207 II. A brief history of modelling plant water fluxes 1208 III. Main components of plant water transport models 1208 IV. Stand-scale water fluxes and coupling to climate and soil 1213 V. Water fluxes in terrestrial biosphere models and feedbacks to community dynamics 1215 VI. Outstanding challenges in modelling water fluxes in the soil-plant-atmosphere continuum 1217 Acknowledgements 1218 References 1218 SUMMARY: Models of plant water fluxes have evolved from studies focussed on understanding the detailed structure and functioning of specific components of the soil-plant-atmosphere (SPA) continuum to architectures often incorporated inside eco-hydrological and terrestrial biosphere …

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Microarray Data Analysis And Classification Of Cancers, Grant Gates Jan 2019

Microarray Data Analysis And Classification Of Cancers, Grant Gates

Williams Honors College, Honors Research Projects

When it comes to cancer, there is no standardized approach for identifying new cancer classes nor is there a standardized approach for assigning cancer tumors to existing classes. These two ideas are known as class discovery and class prediction. For a cancer patient to receive proper treatment, it is important that the type of cancer be accurately identified. For my Senior Honors Project, I would like to use this opportunity to research a topic in bioinformatics. Bioinformatics incorporates a few different subjects into one including biology, computer science and statistics. An intricate method for class discovery and class prediction is …

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Integrating Dynamic Subsurface Habitat Metrics Into Species Distribution Models, Stephanie Brodie, Michael G. Jacox, Steven J. Bograd, Heather Welch, Heidi Dewar, Kylie L. Scales, Sara M. Maxwell, Dana M. Briscoe, Christopher A. Edwards, Larry B. Crowder, Rebecca L. Lewison, Elliott L. Hazen Jan 2018

Integrating Dynamic Subsurface Habitat Metrics Into Species Distribution Models, Stephanie Brodie, Michael G. Jacox, Steven J. Bograd, Heather Welch, Heidi Dewar, Kylie L. Scales, Sara M. Maxwell, Dana M. Briscoe, Christopher A. Edwards, Larry B. Crowder, Rebecca L. Lewison, Elliott L. Hazen

Biological Sciences Faculty Publications

Species distribution models (SDMs) have become key tools for describing and predicting species habitats. In the marine domain, environmental data used in modeling species distributions are often remotely sensed, and as such have limited capacity for interpreting the vertical structure of the water column, or are sampled in situ, offering minimal spatial and temporal coverage. Advances in ocean models have improved our capacity to explore subsurface ocean features, yet there has been limited integration of such features in SDMs. Using output from a data-assimilative configuration of the Regional Ocean Modeling System, we examine the effect of including dynamic subsurface …

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A Comparison Of Five Statistical Methods For Predicting Stream Temperature Across Stream Networks, Maike F. Holthuijzen Aug 2017

A Comparison Of Five Statistical Methods For Predicting Stream Temperature Across Stream Networks, Maike F. Holthuijzen

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

The health of freshwater aquatic systems, particularly stream networks, is mainly influenced by water temperature, which controls biological processes and influences species distributions and aquatic biodiversity. Thermal regimes of rivers are likely to change in the future, due to climate change and other anthropogenic impacts, and our ability to predict stream temperatures will be critical in understanding distribution shifts of aquatic biota. Spatial statistical network models take into account spatial relationships but have drawbacks, including high computation times and data pre-processing requirements. Machine learning techniques and generalized additive models (GAM) are promising alternatives to the SSN model. Two machine learning …

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Predictive Modeling Of Adolescent Cannabis Use From Multimodal Data, Philip Spechler Jan 2017

Predictive Modeling Of Adolescent Cannabis Use From Multimodal Data, Philip Spechler

Graduate College Dissertations and Theses

Predicting teenage drug use is key to understanding the etiology of substance abuse. However, classic predictive modeling procedures are prone to overfitting and fail to generalize to independent observations. To mitigate these concerns, cross-validated logistic regression with elastic-net regularization was used to predict cannabis use by age 16 from a large sample of fourteen year olds (N=1,319). High-dimensional data (p = 2,413) including parent and child psychometric data, child structural and functional MRI data, and genetic data (candidate single-nucleotide polymorphisms, "SNPs") collected at age 14 were used to predict the initiation of cannabis use (minimum six occasions) by age 16. …

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Predicting Post-Fire Change In West Virginia, Usa From Remotely-Sensed Data, Michael Strager P. Strager, Melissa Thomas-Van Gundy, Aaron E. Maxwell Nov 2016

Predicting Post-Fire Change In West Virginia, Usa From Remotely-Sensed Data, Michael Strager P. Strager, Melissa Thomas-Van Gundy, Aaron E. Maxwell

Journal of Geospatial Applications in Natural Resources

Prescribed burning is used in West Virginia, USA to return the important disturbance process of fire to oak and oak-pine forests. Species composition and structure are often the main goals for re-establishing fire with less emphasis on fuel reduction or reducing catastrophic wildfire. In planning prescribed fires land managers could benefit from the ability to predict mortality to overstory trees. In this study, wildfires and prescribed fires in West Virginia were examined to determine if specific landscape and terrain characteristics were associated with patches of high/moderate post-fire change. Using the ensemble machine learning approach of Random Forest, we determined that …

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Assessing Accuracies And Improving Efficiency For Segmentation-Based Rna Secondary Structure Prediction Methods, Gerardo A. Cardenas Jan 2016

Assessing Accuracies And Improving Efficiency For Segmentation-Based Rna Secondary Structure Prediction Methods, Gerardo A. Cardenas

Open Access Theses & Dissertations

RNA secondary structure prediction has become an important area of interest in biology and medicine because it helps in understanding the mechanisms of many biological processes such as gene regulation and viral replication, and in designing RNA-based therapies to treat various diseases such as cancers and AIDS. Different thermodynamics-based computational algorithms for RNA structure prediction exist, and have been used to help understand the disease mechanisms and design treatments. However, most of these computational tools that can predict complex pseudoknot structures have a sequence length limitation of few hundred nucleotide bases due to their high demands of computer resources. Yet, …

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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

Research outputs 2014 to 2021

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 search …

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Improving Promoter Prediction For The Nnpp2.2 Algorithm: A Case Study Using Escherichia Coli Dna Sequences, Ren Zhang, Alexandra Burden, Yan-Xia Lin Nov 2012

Improving Promoter Prediction For The Nnpp2.2 Algorithm: A Case Study Using Escherichia Coli Dna Sequences, Ren Zhang, Alexandra Burden, Yan-Xia Lin

Associate Professor Yan-Xia Lin

No abstract provided.

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The Probability Distribution Of Distance Tss-Tls Is Organism Characteristic And Can Be Used For Promoter Prediction, Yun Dai, Ren Zhang, Yan-Xia Lin Nov 2012

The Probability Distribution Of Distance Tss-Tls Is Organism Characteristic And Can Be Used For Promoter Prediction, Yun Dai, Ren Zhang, Yan-Xia Lin

Associate Professor Yan-Xia Lin

Transcription is a complicated process which involves the interactions of promoter cis-elements with multiple trans-protein factors. The specific interactions rely not only on the specific sequence recognition between the cis- and trans-factors but also on certain spatial arrangement of the factors in a complex. The relative positioning of involved cis-elements provides the framework for such a spatial arrangement. The distance distribution between gene transcription and translation start sites (TSS-TLS) is the subject of the present study to test an assumption that over evolution, the TSS-TLS distance becomes a distinct character for a given organism. Four representative organisms (Escherichia cloi, Saccharomyces …

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Improving Promoter Prediction For The Nnpp2.2 Algorithm: A Case Study Using Escherichia Coli Dna Sequences, Ren Zhang, Alexandra Burden, Yan-Xia Lin Nov 2012

Improving Promoter Prediction For The Nnpp2.2 Algorithm: A Case Study Using Escherichia Coli Dna Sequences, Ren Zhang, Alexandra Burden, Yan-Xia Lin

Alexandra Burden, Lecturer, School of Mathematics and Applied Statistics, Faculty of Informatics

No abstract provided.

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Exploring The Impact Of Knowledge And Social Environment On Influenza Prevention And Transmission In Midwestern United States High School Students, William L. Romine, Tanvi Banerjee, William S. Barrow, William R. Folk Jul 2012

Exploring The Impact Of Knowledge And Social Environment On Influenza Prevention And Transmission In Midwestern United States High School Students, William L. Romine, Tanvi Banerjee, William S. Barrow, William R. Folk

Kno.e.sis Publications

We used data from a convenience sample of 410 Midwestern United States students from six secondary schools to develop parsimonious models for explaining and predicting precautions and illness related to influenza. Scores for knowledge and perceptions were obtained using two-parameter Item Response Theory (IRT) models. Relationships between outcome variables and predictors were verified using Pearson and Spearman correlations, and nested [student within school] fixed effects multinomial logistic regression models were specified from these using Akaike’s Information Criterion (AIC). Neural network models were then formulated as classifiers using 10-fold cross validation to predict precautions and illness. Perceived barriers against taking precautions …

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Prediction Of Ribonucleic Acid Secondary Structures Using A Heuristic Backtracking Search, Christopher Roman Cuellar Jan 2011

Prediction Of Ribonucleic Acid Secondary Structures Using A Heuristic Backtracking Search, Christopher Roman Cuellar

Open Access Theses & Dissertations

Ribonucleic acid (RNA) is essential for all forms of life. RNA is made up of a large chain of nucleotide bases: Guanine (G), Uracil (U), Cytosine (C), and Adenine (A). An RNA strand can fold on itself to allow G-C, A-U, and G-U bases to form hydrogen bonds, this is known as a secondary structure. Knowing the secondary structure of an RNA chain is very important because it will allow researchers to better understand its specific functions. RNA will create secondary structures that tend to minimize their free energy. RNA secondary structure prediction is the attempt to predict physical folding …

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Use Of Sarima Models To Assess Data-Poor Fisheries: A Case Study With A Sciaenid Fishery Off Portugal, Nuno Prista, Norou Diawara, Maria J. Costa, Cynthia M. Jones Jan 2011

Use Of Sarima Models To Assess Data-Poor Fisheries: A Case Study With A Sciaenid Fishery Off Portugal, Nuno Prista, Norou Diawara, Maria J. Costa, Cynthia M. Jones

OES Faculty Publications

Research on assessment and monitoring methods has primarily focused on fisheries with long multivariate data sets. Less research exists on methods applicable to data-poor fisheries with univariate data sets with a small sample size. In this study, we examine the capabilities of seasonal autoregressive integrated moving average (SARIMA) models to fit, forecast, and monitor the landings of such data-poor fisheries. We use a European fishery on meagre (Sciaenidae: Argyrosomus regius), where only a short time series of landings was available to model (n=60 months), as our case-study. We show that despite the limited sample size, a SARIMA model could …

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