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Full-Text Articles in Physical Sciences and Mathematics

Metadata And Minerals : A Library – Museum Pilot Project, Christine Baker Apr 2019

Metadata And Minerals : A Library – Museum Pilot Project, Christine Baker

Digital Initiatives Symposium

The Arthur Lakes Library and the Geology Museum at Colorado School of Mines (Mines) worked together to explore ways to promote the Museum’s unique collections. A task force formed to conduct a pilot project that involved creating digital access, via Mines Institutional Repository, to a set of the Museum’s mineral specimens from Creede Mining District. The Metadata Librarian collaborated with the Museum Collections Manager throughout this process to establish metadata requirements and workflows. This presentation explains how the pilot project came about and describes the preparation, metadata and workflow development, as well as the collaborative experience and evolution ...


Neural Shrubs: Using Neural Networks To Improve Decision Trees, Kyle Caudle, Randy Hoover, Aaron Alphonsus Feb 2019

Neural Shrubs: Using Neural Networks To Improve Decision Trees, Kyle Caudle, Randy Hoover, Aaron Alphonsus

SDSU Data Science Symposium

Decision trees are a method commonly used in machine learning to either predict a categorical response or a continuous response variable. Once the tree partitions the space, the response is either determined by the majority vote – classification trees, or by averaging the response values – regression trees. This research builds a standard regression tree and then instead of averaging the responses, we train a neural network to determine the response value. We have found that our approach typically increases the predicative capability of the decision tree. We have 2 demonstrations of this approach that we wish to present as a poster ...


Multi-Linear Algebraic Eigendecompositions And Their Application In Data Science, Randy Hoover, Kyle Caudle Dr., Karen Braman Dr. Feb 2019

Multi-Linear Algebraic Eigendecompositions And Their Application In Data Science, Randy Hoover, Kyle Caudle Dr., Karen Braman Dr.

SDSU Data Science Symposium

Multi-dimensional data analysis has seen increased interest in recent years. With more and more data arriving as 2-dimensional arrays (images) as opposed to 1-dimensioanl arrays (signals), new methods for dimensionality reduction, data analysis, and machine learning have been pursued. Most notably have been the Canonical Decompositions/Parallel Factors (commonly referred to as CP) and Tucker decompositions (commonly regarded as a high order SVD: HOSVD). In the current research we present an alternate method for computing singular value and eigenvalue decompositions on multi-way data through an algebra of circulants and illustrate their application to two well-known machine learning methods: Multi-Linear Principal ...


Predicting Unplanned Medical Visits Among Patients With Diabetes Using Machine Learning, Arielle Selya, Eric L. Johnson Feb 2019

Predicting Unplanned Medical Visits Among Patients With Diabetes Using Machine Learning, Arielle Selya, Eric L. Johnson

SDSU Data Science Symposium

Diabetes poses a variety of medical complications to patients, resulting in a high rate of unplanned medical visits, which are costly to patients and healthcare providers alike. However, unplanned medical visits by their nature are very difficult to predict. The current project draws upon electronic health records (EMR’s) of adult patients with diabetes who received care at Sanford Health between 2014 and 2017. Various machine learning methods were used to predict which patients have had an unplanned medical visit based on a variety of EMR variables (age, BMI, blood pressure, # of prescriptions, # of diagnoses on problem list, A1C, HDL ...


Global Sustainability That Respects Cultural Diversity & Individual Health Needs, Meriterese Racanelli Feb 2019

Global Sustainability That Respects Cultural Diversity & Individual Health Needs, Meriterese Racanelli

Sustainability Seminar Series

The USA Centers for Disease Control and National Institutes of Health have classified excessive sodium consumption, high blood pressure and diabetes as national health epidemics across various ethnic cultures. The United Nations and other countries classify these as Global Epidemics. Interestingly,some ways to help fix this national and global health crisis can be found in the balance of sustainable environmentally-friendly agriculture, green technologies, and cultural competencies. Learn how sustainability studies, research, and jobs can still respect an individual’s ethnic heritage, culture, and nutritional health needs, while improving the community health at large... from local to global. Sustainability can ...


Toward Unraveling The Mechanisms Of “Green” Mechanochemical Reactions, Richard Chen, Mehmet Kerem Gokus Feb 2019

Toward Unraveling The Mechanisms Of “Green” Mechanochemical Reactions, Richard Chen, Mehmet Kerem Gokus

Undergraduate Research Symposium

The mechanical processing of solids, such as milling or grinding powders, often leads to mechanochemical reactions. Mechanochemistry affords “green” synthetic routes avoiding or reducing the use of solvents, thus providing environmentally friendly and cost-effective synthetic alternatives for many materials. The solid-state reactants are usually ground together with small quantities of organic solvents, called “liquid assisted grinding” (LAG). LAG increases the reaction rates, it can yield products from otherwise unreactive mixtures, it increases the products crystallinity, and it selectively leads to crystal structures (polymorphs) of the products, depending on the quantities and physicochemical properties of the liquids used in LAG.

Mechanochemistry ...


Plastics, Degradability, And The Environment, Peter Strom Jan 2019

Plastics, Degradability, And The Environment, Peter Strom

Sustainability Seminar Series

Harmful environmental effects of plastics have long been condemned by activists, and some of these problems are well documented. However, in seeking to substitute other materials or make changes in the properties of the plastics themselves, it is important that the policies implemented do not worsen existing or create new environmental problems. This seminar will discuss some of the general concerns associated with this issue, such as the environmental impacts of using other materials instead of plastics, and then focus on degradable plastics. What is degradability, when might it be valuable, and will these products in fact degrade? Results of ...


2018 Long-Term Summary Of Kentucky Forage Variety Trials, Gene L. Olson, S. Ray Smith, Jimmy C. Henning Jan 2019

2018 Long-Term Summary Of Kentucky Forage Variety Trials, Gene L. Olson, S. Ray Smith, Jimmy C. Henning

Forage Symposium at the Kentucky Cattlemen’s Convention

Forage crops occupy approximately 7 million acres in Kentucky. Forages provide a majority of the nutrition for beef, dairy, horse, goat, sheep, and wildlife in the state. In addition, forage crops play an environmentally friendly role in soil conservation, water quality, and air quality. There are over 60 forage species adapted to the climate and soil conditions of Kentucky. Only 10 to 12 of these species occupy the majority of the acreage, but within these species there is a tremendous variation in varieties.

This publication was developed to provide a user-friendly guide to choosing the best variety for producers based ...


A Global Database Of Surface Urban Heat Island Intensity, Tc Chakraborty, Xuhui Lee Jan 2019

A Global Database Of Surface Urban Heat Island Intensity, Tc Chakraborty, Xuhui Lee

Yale Day of Data

The urban heat island (UHI) effect - the phenomenon of higher temperatures in urban environments - is one of the most well-known consequences of urbanization on local climate. We develop the simplified urban-extent (SUE) algorithm, a new algorithm to estimate the urban heat island (UHI) intensity at a global scale. This algorithm is implemented on the Google Earth Engine platform and uses satellite-derived images to calculate the surface UHI intensity for over 9500 urban clusters covering 15 years, making this the most comprehensive global UHI database. The data are validated against previous multi-city studies and then used to estimate the diurnal, monthly ...


Gene Co-Expression Networks Analysis Reveal Novel Molecular Endotypes In Alpha-1 Antitrypsin Deficiency, Jen-Hwa Chu, Wenlan Zang Jan 2019

Gene Co-Expression Networks Analysis Reveal Novel Molecular Endotypes In Alpha-1 Antitrypsin Deficiency, Jen-Hwa Chu, Wenlan Zang

Yale Day of Data

Rationale:Alpha-1 antitrypsin deficiency (AATD) is a genetic condition that predisposes to early onset pulmonary emphysema and airways obstruction. The exact mechanism through which AATD leads to lung disease is incompletely understood.

Objectives: To investigate the effect of AAT genotype and augmentation therapy on bronchoalveolar lavage (BAL) and peripheral blood mononuclear cells (PBMC) transcriptome, while examining the link between gene expression profiles, and clinical features of AATD.

Methods: We performed RNA-Seq on RNA extracted from BAL and PBMC on samples obtained from 89 AATD patients enrolled in the Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis (GRADS) study. Differential gene ...


Topovar90m: Global High-Resolution Topographic Variables For Environmental Modeling, Giuseppe Amatulli Dr. Jan 2019

Topovar90m: Global High-Resolution Topographic Variables For Environmental Modeling, Giuseppe Amatulli Dr.

Yale Day of Data

Topographical relief involves the vertical and horizontal variation of the Earth's terrain and it drives processes in hydrology, climatology, geography and ecology. Its assessment and characterization is fundamental for various types of modeling and simulation analysis. In this regard, the Multi-Error-Removed Improved Terrain (MERIT) Digital Elevation Model (DEM) currently provides the best high-resolution DEM globally available, at a 3 arc-second resolution (90m), due to the removal of multiple error components from the underlying SRTM3 and AW3D30 DEMs. To depict topographical variations worldwide, we developed a new dataset comprising different terrain features derived from the MERIT-DEM. The fully standardized topographical ...


Non-Invasive Analysis Of The Sputum Transcriptome Discriminates Clinical Phenotypes Of Asthma, Xiting Yan Jan 2019

Non-Invasive Analysis Of The Sputum Transcriptome Discriminates Clinical Phenotypes Of Asthma, Xiting Yan

Yale Day of Data

Whole transcriptome wide gene expression profiles in the sputum and circulation from 100 asthma patients were measured using the Affymetrix HuGene 1.0ST arrays. Unsupervised clustering analysis based on pathways from KEGG were used to identify TEA clusters of patients from the sputum gene expression profiles. The identified TEA clusters have significantly different pre-bronchodilator FEV1, bronchodilator responsiveness, exhaled nitric oxide levels, history of hospitalization for asthma and history of intubation. Evaluation of TEA clusters in children from Asthma BRIDGE cohort confirmed the identified differences in intubation and hospitalization. Furthermore, evaluation of the TH2 gene signatures suggested a much lower prevalence ...


A Novel Pathway-Based Distance Score Enhances Assessment Of Disease Heterogeneity In Gene Expression, Yunqing Liu, Xiting Yan Jan 2019

A Novel Pathway-Based Distance Score Enhances Assessment Of Disease Heterogeneity In Gene Expression, Yunqing Liu, Xiting Yan

Yale Day of Data

Distance-based unsupervised clustering of gene expression data is commonly used to identify heterogeneity in biologic samples. However, high noise levels in gene expression data and the relatively high correlation between genes are often encountered, so traditional distances such as Euclidean distance may not be effective at discriminating the biological differences between samples. In this study, we developed a novel computational method to assess the biological differences based on pathways by assuming that ontologically defined biological pathways in biologically similar samples have similar behavior. Application of this distance score results in more accurate, robust, and biologically meaningful clustering results in both ...


Analyzing Neuronal Dendritic Trees With Convolutional Neural Networks, Olivier Trottier, Jonathon Howard Jan 2019

Analyzing Neuronal Dendritic Trees With Convolutional Neural Networks, Olivier Trottier, Jonathon Howard

Yale Day of Data

In the biological sciences, image analysis software are used to detect, segment or classify a variety of features encountered in living matter. However, the algorithms that accomplish these tasks are often designed for a specific dataset, making them hardly portable to accomplish the same tasks on images of different biological structures. Recently, convolutional neural networks have been used to perform complex image analysis on a multitude of datasets. While applications of these networks abound in the technology industry and computer science, use cases are not as common in the academic sciences. Motivated by the generalizability of neural networks, we aim ...


Disrupting Desalination: Novel Energy Efficient Technologies For Hypersaline Brines, Ngai Yin Yip Dec 2018

Disrupting Desalination: Novel Energy Efficient Technologies For Hypersaline Brines, Ngai Yin Yip

Sustainability Seminar Series

Management and treatment of hypersaline brines, e.g., produced water from oil and gas extraction, zero liquid discharge effluent, and flue gas desulfurization wastewater, are of growing environmental importance. Prevailing practice of distilling brines is highly energy-intensive and costly because the evaporation of water is enthalpically unfavorable. Here, we present two novel technologies for hypersaline desalination: cascading osmotically mediated reverse osmosis (COMRO) and temperature swing solvent extraction (TSSE). The first technology, COMRO, utilizes the novel design of bilateral countercurrent reverse osmosis stages to lessening the osmotic pressure difference across the membrane, thereby simultaneously depressing the hydraulic pressure needed and reducing ...


Incentives For Coastal Persistence, Porter Hoagland Dec 2018

Incentives For Coastal Persistence, Porter Hoagland

Sustainability Seminar Series

Inundation, erosion, and property damages and losses are being observed at increasing rates in coastal areas. It is now well-recognized that rising sea levels, increases in storm intensities, and inadequate structural protections are contributing to the significant physical destruction of and economic losses to coastal properties. Scientists, coastal zone managers, and the general public have begun to call for implementing policies of resilience and adaptation to these losses, including retreating from the coast, yet humans continue to live—and even increase their presence—along the nation’s shorelines. What causes such persistence? It has become commonplace to identify lower-than-actuarially-fair premiums ...


How Do Polar Ice Sheets And Sea Level Behave Under A Changing Climate?, Sandra Passchier Nov 2018

How Do Polar Ice Sheets And Sea Level Behave Under A Changing Climate?, Sandra Passchier

Sustainability Seminar Series

Nearly 3 billion people live within 100 km of the coastline, many in large urban centers. In predictions of sea level rise, the future role of polar ice sheets is one of the most critical uncertainties under the present extreme rise in greenhouse forcing of the climate system. This talk will show how geoscientists address the Earth system processes involved in melting ice sheets under warmer climates, and introduce the objectives of an upcoming deepsea drilling expedition to the area with greatest ice loss in West Antarctica.


Observing Soil Changes Under Common Cropping Practices In Kentucky, Samantha Peterson, Iin Handayani, Alyx Shultz Dr, Brian Parr Nov 2018

Observing Soil Changes Under Common Cropping Practices In Kentucky, Samantha Peterson, Iin Handayani, Alyx Shultz Dr, Brian Parr

Posters-at-the-Capitol

Cropping production and tillage systems lead to loss of soil organic matter (SOM), lowering soil pH, and soil compaction in Kentucky. However, the magnitude of the changes varied among the soil properties. Therefore, the objective of this research was to evaluate the changes in SOM, soil pH, and soil compaction under different cropping systems like corn-soybean-tobacco rotation (Field #1), continuous corn field (Field #2), hemp field (Field #3), wheat field (Field #4), pasture with animal grazing (Field #5), and canola field (Field #6). The prominent soil textures in all fields are silt loam and silty clay loam. Disturbed soil samples ...


Distance And Intersection Number In The Curve Complex Of A Closed Surface, Nancy C. Wrinkle Nov 2018

Distance And Intersection Number In The Curve Complex Of A Closed Surface, Nancy C. Wrinkle

Faculty Research and Creative Activities Symposium

No abstract provided.


Spiral Waves Modeling, Paulo H. Acioli Nov 2018

Spiral Waves Modeling, Paulo H. Acioli

Faculty Research and Creative Activities Symposium

No abstract provided.


Arsenoplatins Vs. Combination Of Platinum Drugs And Arsenic Trioxide, Denana Miodragovic Nov 2018

Arsenoplatins Vs. Combination Of Platinum Drugs And Arsenic Trioxide, Denana Miodragovic

Faculty Research and Creative Activities Symposium

No abstract provided.


Measuring The One-Way Velocity Of Light, Charles Nissim-Sabat Nov 2018

Measuring The One-Way Velocity Of Light, Charles Nissim-Sabat

Faculty Research and Creative Activities Symposium

No abstract provided.


Enabling The Social Internet Of Things, Ahmed E. Khaled, Sumi Helal Nov 2018

Enabling The Social Internet Of Things, Ahmed E. Khaled, Sumi Helal

Faculty Research and Creative Activities Symposium

No abstract provided.


Structural Characterization Of Bacterial Red Light Photoreceptors By Atomic Force Microscopy, Kenneth T. Nicholson Nov 2018

Structural Characterization Of Bacterial Red Light Photoreceptors By Atomic Force Microscopy, Kenneth T. Nicholson

Faculty Research and Creative Activities Symposium

No abstract provided.


Linear Analysis Of Tumor Morphology During Growth Using Bending Energy, Emma A. Turian Nov 2018

Linear Analysis Of Tumor Morphology During Growth Using Bending Energy, Emma A. Turian

Faculty Research and Creative Activities Symposium

No abstract provided.


The Neiumatic Shake Table: A New Tool, Elisabet M. Head, John Papiewski Nov 2018

The Neiumatic Shake Table: A New Tool, Elisabet M. Head, John Papiewski

Faculty Research and Creative Activities Symposium

No abstract provided.


Punctuated Cognitive Psychological Interventions On Student's Disposition To Learn And The Effects On Mathematical Achievement, Matthew D. Graham Nov 2018

Punctuated Cognitive Psychological Interventions On Student's Disposition To Learn And The Effects On Mathematical Achievement, Matthew D. Graham

Faculty Research and Creative Activities Symposium

No abstract provided.


Molecular Origami For Biochemistry: Paper Models Of Proteins, Carbohydrates, And Nucleic Acids, Charles Abrams Nov 2018

Molecular Origami For Biochemistry: Paper Models Of Proteins, Carbohydrates, And Nucleic Acids, Charles Abrams

Faculty Research and Creative Activities Symposium

No abstract provided.


Singular And Ill-Conditioned Linear Systems, Zhonggang Zeng Nov 2018

Singular And Ill-Conditioned Linear Systems, Zhonggang Zeng

Faculty Research and Creative Activities Symposium

No abstract provided.


A Study Of Text Simplification On Breast Cancer Information Targeting A Low-Health Literacy Population, Francisco D. Iacobelli, Xiwei Wang Nov 2018

A Study Of Text Simplification On Breast Cancer Information Targeting A Low-Health Literacy Population, Francisco D. Iacobelli, Xiwei Wang

Faculty Research and Creative Activities Symposium

No abstract provided.