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Articles 1 - 30 of 1077

Full-Text Articles in Physical Sciences and Mathematics

Spreading Mechanics And Differentiation Of Astrocytes During Retinal Development, Tracy Stepien, Timothy W. Secomb May 2020

Spreading Mechanics And Differentiation Of Astrocytes During Retinal Development, Tracy Stepien, Timothy W. Secomb

Biology and Medicine Through Mathematics Conference

No abstract provided.


Modeling Of Pmv Neuronal Circuitry In Adaptive Changes Of Energy Balance, Pilhwa Lee, Cristina Saenz De Miera, Nicole Bellefontaine, Kevin W. Williams, Renata Frazao, Carol Elias May 2020

Modeling Of Pmv Neuronal Circuitry In Adaptive Changes Of Energy Balance, Pilhwa Lee, Cristina Saenz De Miera, Nicole Bellefontaine, Kevin W. Williams, Renata Frazao, Carol Elias

Biology and Medicine Through Mathematics Conference

No abstract provided.


Asymptotics Of A Microfluidic Flowmeter, Joe Klobusicky May 2020

Asymptotics Of A Microfluidic Flowmeter, Joe Klobusicky

Biology and Medicine Through Mathematics Conference

No abstract provided.


Switching Off The Pancreatic Islet: Complex Network Analysis Of Multicellular Clusters, Janita Patwardhan May 2020

Switching Off The Pancreatic Islet: Complex Network Analysis Of Multicellular Clusters, Janita Patwardhan

Biology and Medicine Through Mathematics Conference

No abstract provided.


Data Supporting The Paper "The Role Of Turbulent Fluctuations In Aerosol Activation And Cloud Formation", Prasanth Prabhakaran, Abu Sayeed Md Shawon, Greg Kinney, Subin Thomas, Will Cantrell, Raymond Shaw May 2020

Data Supporting The Paper "The Role Of Turbulent Fluctuations In Aerosol Activation And Cloud Formation", Prasanth Prabhakaran, Abu Sayeed Md Shawon, Greg Kinney, Subin Thomas, Will Cantrell, Raymond Shaw

Data Files

This data supports the following paper:

Prasanth Prabhakaran, Abu Sayeed Md Shawon, Gregory Kinney, Subin Thomas, Will Cantrell and Raymond A. Shaw, “The role of turbulent fluctuations in aerosol activation and cloud formation”, Proceedings of the National Academy of Sciences (2020), in review.


An Empirical Study On The Use And Misuse Of Java 8 Streams, Raffi T. Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, Baishakhi Ray Apr 2020

An Empirical Study On The Use And Misuse Of Java 8 Streams, Raffi T. Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, Baishakhi Ray

Publications and Research

Streaming APIs allow for big data processing of native data structures by providing MapReduce-like operations over these structures. However, unlike traditional big data systems, these data structures typically reside in shared memory accessed by multiple cores. Although popular, this emerging hybrid paradigm opens the door to possibly detrimental behavior, such as thread contention and bugs related to non-execution and non-determinism. This study explores the use and misuse of a popular streaming API, namely, Java 8 Streams. The focus is on how developers decide whether or not to run these operations sequentially or in parallel and bugs both specific and tangential ...


Dugesia Japonica Is The Best Suited Of Three Planarian Species For High-Throughput Toxicology Screening, D. Ireland, Veronica Bochenek , '22, Daniel Chaiken , '20, C. Rabeler, Sumi Onoe , '21, Ameet Soni, Eva-Maria S. Collins Apr 2020

Dugesia Japonica Is The Best Suited Of Three Planarian Species For High-Throughput Toxicology Screening, D. Ireland, Veronica Bochenek , '22, Daniel Chaiken , '20, C. Rabeler, Sumi Onoe , '21, Ameet Soni, Eva-Maria S. Collins

Biology Faculty Works

High-throughput screening (HTS) using new approach methods is revolutionizing toxicology. Asexual freshwater planarians are a promising invertebrate model for neurotoxicity HTS because their diverse behaviors can be used as quantitative readouts of neuronal function. Currently, three planarian species are commonly used in toxicology research: Dugesia japonica, Schmidtea mediterranea, and Girardia tigrina. However, only D. japonica has been demonstrated to be suitable for HTS. Here, we assess the two other species for HTS suitability by direct comparison with D. japonica. Through quantitative assessments of morphology and multiple behaviors, we assayed the effects of 4 common solvents (DMSO, ethanol, methanol, ethyl acetate ...


Scatterable Landmine Detection Project Dataset 9, Gabriel Steinberg, Jasper Baur, Alex Nikulin, Timothy De Smet Apr 2020

Scatterable Landmine Detection Project Dataset 9, Gabriel Steinberg, Jasper Baur, Alex Nikulin, Timothy De Smet

Geological Sciences and Environmental Studies Faculty Scholarship

No abstract provided.


Aeromagnetic Surveys To Detect Mbrl Unexploded Ordnance Dataset 2, Alex Nikulin, Timothy De Smet Apr 2020

Aeromagnetic Surveys To Detect Mbrl Unexploded Ordnance Dataset 2, Alex Nikulin, Timothy De Smet

Geological Sciences and Environmental Studies Faculty Scholarship

No abstract provided.


Aeromagnetic Surveys To Detect Mbrl Unexploded Ordnance Dataset 1, Alex Nikulin, Timothy De Smet Apr 2020

Aeromagnetic Surveys To Detect Mbrl Unexploded Ordnance Dataset 1, Alex Nikulin, Timothy De Smet

Geological Sciences and Environmental Studies Faculty Scholarship

No abstract provided.


Scatterable Landmine Detection Project Dataset 8, Gabriel Steinberg, Jasper Baur, Alex Nikulin, Timothy De Smet Apr 2020

Scatterable Landmine Detection Project Dataset 8, Gabriel Steinberg, Jasper Baur, Alex Nikulin, Timothy De Smet

Geological Sciences and Environmental Studies Faculty Scholarship

No abstract provided.


In-Class Activities For Openstax Astronomy, Rosa Williams, Kimberly Shaw Apr 2020

In-Class Activities For Openstax Astronomy, Rosa Williams, Kimberly Shaw

Physics and Astronomy Ancillary Materials

This set of in-class activities in Microsoft Word format are intended to supplement OpenStax Astronomy. Topics include:

  • Atmospheric Gas
  • Celestial Sphere
  • Dwarf Planets
  • Earth Size
  • Earth Impact
  • Greenhouse Gases and Climate Change
  • Jovian Planet
  • Jovian Moon and Ring
  • Mars Atmosphere and Climate
  • Solar System Formation and Scale
  • Sunspots
  • Terrestrial Planet and Lunar Features
  • Venus Atmosphere and Climate


Data Supporting The Paper "High Supersaturation In The Wake Of Falling Hydrometeors: Implications For Cloud Invigoration And Ice Nucleation", Prasanth Prabhakaran, G. Kinney, Will Cantrell, Raymond Shaw, Eberhard Bodenschatz Apr 2020

Data Supporting The Paper "High Supersaturation In The Wake Of Falling Hydrometeors: Implications For Cloud Invigoration And Ice Nucleation", Prasanth Prabhakaran, G. Kinney, Will Cantrell, Raymond Shaw, Eberhard Bodenschatz

Michigan Tech Publications

The data in this file supports the following paper:

P. Prabhakaran, G. Kinney, W. Cantrell, R. A. Shaw and E. Bodenschatz. "High supersaturation in the wake of falling hydrometeors: Implications for cloud invigoration and ice nucleation" Geophysical Research Letters, in review.


Title: Fully Interactive And Refined Resolution Simulations Of The Martian Dust Cycle By The Marswrf Model, Claus Gebhardt, Abdelgadir Abuelgasim, Ricardo M. Fonseca, Javier Martín-Torres, Maria-Paz Zorzano Mar 2020

Title: Fully Interactive And Refined Resolution Simulations Of The Martian Dust Cycle By The Marswrf Model, Claus Gebhardt, Abdelgadir Abuelgasim, Ricardo M. Fonseca, Javier Martín-Torres, Maria-Paz Zorzano

National Space Science & Technology Center Datasets

The Mars climate model MarsWRF was run with fully interactive dust parametrization, assuming an infinite surface dust reservoir. Changing the horizontal resolution from 5°×5° to 2°×2° produced different dust cycle variability and dust source regions. The higher spatial resolution allowed for a better representation of the surface topography and associated surface dust lifting by wind stress, that is more consistent with observations. Global Dust Storm Events typically occurred if dust storm activity at northern Hellas Planitia connected with that at southern Chryse Planitia.


Mauvais Coulee Basin Hydrologic Data (Observation And Simulation), Diane F. Van Hoy, Taufique H. Mahmood, Paul E. Todhunter, Tyson L. Jeannotte Feb 2020

Mauvais Coulee Basin Hydrologic Data (Observation And Simulation), Diane F. Van Hoy, Taufique H. Mahmood, Paul E. Todhunter, Tyson L. Jeannotte

Datasets

The authors collected snow water equivalent (SWE) data and compiled a hydrologic model for the Mauvais Coulee Basin using Cold Region Hydrologic Platform. The datasets include observed SWE, observed streamflow, simulated SWE, simulated streamflow, simulated SWE maps (Feb 26, Jan 29, Jan 8 and Mar 26 of 2017), land use maps and hydrological representative unit maps (HRU) maps. This study detected a mechanism of hydrologic change to recent wetting using a cold region hydrologic model.


New Magnetic Field Models Of The Moon, Dhananjay Ravat, Michael E. Purucker, Nils Olsen Feb 2020

New Magnetic Field Models Of The Moon, Dhananjay Ravat, Michael E. Purucker, Nils Olsen

Earth and Environmental Sciences Research Data

We use L1-norm model regularization of |Br| component at the surface on magnetic monopoles bases and along-track magnetic field differences alone (without vector observations) to derive high quality global magnetic field models at the surface of the Moon. The practical advantages to this strategy are: monopoles are more stable at closer spacing in comparison to dipoles, improving spatial resolution; L1-norm model regularization leads to sparse models which may be appropriate for the Moon which has regions of localized magnetic field features; and along-track differences reduce the need for ad-hoc external field noise reduction strategies. We examine also the use ...


Lake Pontchartrain Data, Chunyan Li Jan 2020

Lake Pontchartrain Data, Chunyan Li

WAVCIS

The ADCP data file use the RDI standard ASCII format. For the variables please check with the RDI ADCP document. The salinity file has the surface thermosalinigraph data along a river plume inside the Lake Pontchartrain obtained on May 11, 2011, after a freshwater diversion from the Bonnet Carre Spillway from the Mississippi River. Time is in the standard UTC. Data include the surface water temperature (C), salinity (PSU), latitude, longitude, hour, minute, and second. The data were obtained from a moving boat. It was a survey supported by an NSF RAPID project. The data are used in a paper ...


Data For Paper "Separating Thermal And Viscous Effects Of Temperature On Copepod Respiration And Energy Budget", Abigail Tyrell, Nicholas Fisher, David Fields Jan 2020

Data For Paper "Separating Thermal And Viscous Effects Of Temperature On Copepod Respiration And Energy Budget", Abigail Tyrell, Nicholas Fisher, David Fields

SoMAS Research Data

Changes in temperature alter the viscosity of fluids, which impacts the force needed to move and the diffusion rates of gases. This is particularly salient for organisms that operate at mid to low Reynolds numbers. In this study, we investigated the independent effects of changes in temperature and viscosity on oxygen consumption rates of two coastal copepods (Acartia tonsa and Parvocalanus crassirostris) and used bioenergetic models to predict how these patterns could influence copepods in the natural environment. We found that only temperature influenced copepod oxygen consumption rates, indicating that copepods were not impacted by reduced oxygen diffusivity or increased ...


Dam Impoundments Sediment Mass – Tributaries To The Hudson River, Brian Yellen, Jonathan Woodruff Jan 2020

Dam Impoundments Sediment Mass – Tributaries To The Hudson River, Brian Yellen, Jonathan Woodruff

Data and Datasets

This repository contains data from sediment cores collected during 2017-2018 from 17 impoundments that are located on tributaries to the tidal portion of the Hudson River as part of a larger NERRs collaborative project entitled Dams and Sediment on the Hudson (DaSH). A companion dataset that contains sediment core data from Hudson tidal marshes is archived at UMass Scholarworks data repository. Sediment cores collected from impoundments behind dams were recovered via piston push coring, which tends to minimize compaction and be representative of true sediment thicknesses. The general workflow for cores included (1) splitting; (2) Itrax XRF scanning; (3) subsampling ...


Hudson River Estuary Tidal Marsh Sediment Data, Brian Yellen, Jonathan Woodruff Jan 2020

Hudson River Estuary Tidal Marsh Sediment Data, Brian Yellen, Jonathan Woodruff

Data and Datasets

This repository contains data from sediment cores collected at six tidal wetland complexes that are located within the Hudson River Estuary. The sites include Stockport Marsh, Esopus Delta, Tivoli North Bay, Tivoli South Bay, Vanderburgh Cove, and Iona Island Marsh. A variety of core collection tools and methods were used to collect uncompacted records, including gouge coring, Russian peat coring, and piston push coring, with the method determined by coring environment. The general workflow for cores included (1) splitting; (2) Itrax XRF scanning; (3) subsampling cores ~10 cm spacing; (4) drying and burning samples for percent water, organic, and mineral ...


Analysis Of Concurrent Backscatter Coefficients From In-Situ Cloud Probes And Airborne Lidar, Shawn Wagner, David J. Delene Jan 2020

Analysis Of Concurrent Backscatter Coefficients From In-Situ Cloud Probes And Airborne Lidar, Shawn Wagner, David J. Delene

Datasets

The North Dakota Citation Research Aircraft obtained measurements of anvil cirrus clouds over Florida during the summer of 2015 (CAPE2015). The Citation is fitted to take measurements of atmospheric variables (pressure, temperature, dew point, wind velocity, etc...) as well as cloud particle properties (concentration, size-distribution, water content, etc...). Data (at 1 Hz) is included from four flights occuring on 31 July 2015, 1 August 2015, and 2 August 2015. Cloud properties were measured by the Two-Dimensional Stereo probe (2D-S), the High-Volume Precipitation Spectrometer (HVPS3) probe and the Nevzorov probe. Additionally, particle data from the 2D-S and HVPS3 are combined to ...


An Introduction To Copulas, Yifan Guo, Geng Zhang Jan 2020

An Introduction To Copulas, Yifan Guo, Geng Zhang

Capstone Showcase

Copulas are the mathematical functions that connect the distribution functions of univariate random variables to form multivariate distributions. We define copulas, present some of their key properties, and provide examples of their applications.


Virtual Reality Accessibility With Predictive Trails, Dani Paul Hove Jan 2020

Virtual Reality Accessibility With Predictive Trails, Dani Paul Hove

Honors Projects

Comfortable locomotion in VR is an evolving problem. Given the high probability of vestibular-visual disconnect, and subsequent simulator sickness, new users face an uphill battle in adjusting to the technology. While natural locomotion offers the least chance of simulator sickness, the space, economic and accessibility barriers to it limit its effectiveness for a wider audience. Software-enabled locomotion circumvents much of these barriers, but has the greatest need for simulator sickness mitigation. This is especially true for standing VR experiences, where sex-biased differences in mitigation effectiveness are amplified (postural instability due to vection disproportionately affects women).

Predictive trails were developed as ...


Decentralized Adaptable Task Allocation For Ongoing Tasks, Vera Kazakova Jan 2020

Decentralized Adaptable Task Allocation For Ongoing Tasks, Vera Kazakova

Electronic Theses and Dissertations, 2020-

This thesis extends an existing bio-inspired model for decentralized task allocation and benchmarks it against alternative approaches to assess robustness in dynamic conditions, applicability to domains with ongoing and hierarchical tasks, and scalability to large teams of agents. The work addresses decentralized task allocation of simple non-communicating agents in dynamic environments of multiple tasks. Multi-area patrolling is used as the sample domain: specific number of agents is required to successfully patrol each area on each timestep, indefinitely, until the system's security needs. Agents must individually decide whether to patrol and where (i.e., task availability is not limited by ...


Cyclotron Resonance In Graphene Heterostructurescyclotron Resonance In Graphene Heterostructures, Billy Jordan Russell Dec 2019

Cyclotron Resonance In Graphene Heterostructurescyclotron Resonance In Graphene Heterostructures, Billy Jordan Russell

Arts & Sciences Electronic Theses and Dissertations

We present observations of cyclotron resonance in graphene Van der Waals heterostructure devices. Such devices provide dramatic improvements in sample quality and allow for ad- vanced electronic control, opening windows on previously inaccessible physics. The design and construction of a dedicated system for the measurement of electronic transport and infrared magnetospectroscopy in microscopic samples of atomically thin materials at cryogenic temperatures is presented. In high-mobility encapsulated monolayer graphene, electron- electron interaction effects are unambiguously observed to impact the interband cyclotron resonance as the Landau level filling factor is varied in a quantizing magnetic field. Additionally, a splitting of transitions involving ...


Rhetsec_ | Rhetorical Security, Jennifer Mead Dec 2019

Rhetsec_ | Rhetorical Security, Jennifer Mead

Culminating Projects in English

Rhetsec_ examines the rhetorical situation, the rhetorical appeals, and how phishing emails simulate "real" emails in five categories of phishing emails. While the first focus of cybersecurity is security, you must also understand the language of computers to know how to secure them. Phishing is one way to compromise security using computers, and so the computer becomes a tool for malicious language (phishing emails and malware) to be transmitted. Therefore to be concerned with securing computers, then you must also be concerned with language. Language is rhetoric's domain, and the various rhetorical elements which create an identity of the ...


Data Set For An Empirical Analysis Of Search Engines’ Response To Web Search Queries Associated With The Classroom Setting, Oghenemaro Anuyah, Ashlee Milton, Michael Green, Maria Soledad Pera Nov 2019

Data Set For An Empirical Analysis Of Search Engines’ Response To Web Search Queries Associated With The Classroom Setting, Oghenemaro Anuyah, Ashlee Milton, Michael Green, Maria Soledad Pera

Computer Science Faculty Scripts and Data

This archive contains queries that capture information in different search contexts. The first file includes those written by children between the 3rd - 6th grade levels, while performing search tasks. We collected and archived this data between the April 2017 -- December 2018, based on Boise State University's IRB approval. We also include simulated queries we extracted from children's reviews. Additional columns in this dataset are children's grade levels, the query source, and the query type (i.e., if it is a keyword, phrase, or question query). The other files are comprised of queries that are meant to lead ...


Crustal Density Variation Of The Eastern U.S., Henglei Zhang, Dhananjay Ravat, Anthony R. Lowry Nov 2019

Crustal Density Variation Of The Eastern U.S., Henglei Zhang, Dhananjay Ravat, Anthony R. Lowry

Earth and Environmental Sciences Research Data

EarthScope’s USArray Transportable Array (TA) has shortcomings for the purpose of interpreting geologic features of wavelengths less than the 70 km TA station spacing, but these can be overcome by using higher spatial resolution gravity data. In this study, we exploit USArray receiver functions to reduce non-uniqueness in the interpretation of gravity anomalies. We model gravity anomalies from previously-derived density variations of sedimentary basins, crustal Vp/Vs variation, Moho variation, and upper mantle density variation derived from body-wave imaging informed by surface wave tomography to estimate Vp/Vs. Although average densities and density contrasts for these seismic variations can ...


Source Function Of Na, Xuguang Cai Nov 2019

Source Function Of Na, Xuguang Cai

Xuguang Cai

Source function of Na global and seasonal


#27 - The Effects Of The Different Configurations Of The Periodic Kernels On Machine Learning Problems, Adrian Pizano, Hong Zhang, Hongjun Su, Issac Taylor Nov 2019

#27 - The Effects Of The Different Configurations Of The Periodic Kernels On Machine Learning Problems, Adrian Pizano, Hong Zhang, Hongjun Su, Issac Taylor

Georgia Undergraduate Research Conference (GURC)

Kernels as similarity measures among study objects are key components of machine learning algorithms such as Support Vector Machine (SVM) and Gaussian Process. Often the performance of a machine learning system depends highly on the effectiveness of the kernel to represent the similarity between objects. Capturing the special structural information of the data in the kernel can be useful in improving the system performance. One special property in the attributes of the data is periodicity. Examples of periodic attributes include the “time of day”, “day of the year”, and “position of a wave”. Applications involving seasonal economics data, environmental attributes ...