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Articles 841 - 870 of 7340
Full-Text Articles in Physical Sciences and Mathematics
Spacetime Groups, Ian M. Anderson, Charles G. Torre
Spacetime Groups, Ian M. Anderson, Charles G. Torre
All Physics Faculty Publications
A spacetime group is a connected 4-dimensional Lie group G endowed with a left invariant Lorentz metric h and such that the connected component of the isometry group of h is G itself. The Newman-Penrose formalism is used to give an algebraic classification of spacetime groups, that is, we determine a complete list of inequivalent spacetime Lie algebras, which are pairs, (g, n), with g being a 4-dimensional Lie algebra and n being a Lorentzian inner product on g. A full analysis of the equivalence problem for spacetime Lie algebras is given which leads to a completely …
Satc: Core: Medium: Collaborative: Baitbuster 2.0: Keeping Users Away From Clickbait, Mahdi Nasrullah Al-Ameen
Satc: Core: Medium: Collaborative: Baitbuster 2.0: Keeping Users Away From Clickbait, Mahdi Nasrullah Al-Ameen
Funded Research Records
No abstract provided.
Collaborative Research: Mechanism And Target Recognition Of Protein Arginine Methyltransferases (Prmts), Joan Hevel
Collaborative Research: Mechanism And Target Recognition Of Protein Arginine Methyltransferases (Prmts), Joan Hevel
Funded Research Records
No abstract provided.
A Low-Cost, Open Source Monitoring System For Collecting High Temporal Resolution Water Use Data On Magnetically Driven Residential Water Meters, Camilo J. Bastidas Pacheco, Jeffery S. Horsburgh, Robb J. Tracy
A Low-Cost, Open Source Monitoring System For Collecting High Temporal Resolution Water Use Data On Magnetically Driven Residential Water Meters, Camilo J. Bastidas Pacheco, Jeffery S. Horsburgh, Robb J. Tracy
Publications
We present a low-cost (≈$150) monitoring system for collecting high temporal resolution residential water use data without disrupting the operation of commonly available water meters. This system was designed for installation on top of analog, magnetically driven, positive displacement, residential water meters and can collect data at a variable time resolution interval. The system couples an Arduino Pro microcontroller board, a datalogging shield customized for this specific application, and a magnetometer sensor. The system was developed and calibrated at the Utah Water Research Laboratory and was deployed for testing on five single family residences in Logan and Providence, Utah, for …
Bipartite Dot Product Graphs, Sean Bailey, David E. Brown
Bipartite Dot Product Graphs, Sean Bailey, David E. Brown
Mathematics and Statistics Faculty Publications
Given a bipartite graph G = (X, Y, E), the bipartite dot product representation of G is a function f : X ∪Y → ℝk and a positive threshold t such that for any x ∈ X and y ∈ Y , xy ∈ E if and only if f(x) · f(y) ≥ t. The minimum k such that a bipartite dot product representation exists for G is the bipartite dot product dimension of G, denoted bdp(G). We will show that such representations exist for all bipartite graphs as well as give an upper bound for the bipartite dot …
Effects Of Pyric Herbivory On Prairie-Chicken (Tympanuchus Spp) Habitat, Heath D. Starns, Samuel D. Fuhlendorf, Robert D. Elmore, Dirac Twidwell, Eric T. Thacker, Torre J. Hovick, Barney Luttbeg
Effects Of Pyric Herbivory On Prairie-Chicken (Tympanuchus Spp) Habitat, Heath D. Starns, Samuel D. Fuhlendorf, Robert D. Elmore, Dirac Twidwell, Eric T. Thacker, Torre J. Hovick, Barney Luttbeg
Wildland Resources Faculty Publications
The reduction and simplification of grasslands has led to the decline of numerous species of grassland fauna, particularly grassland-obligate birds. Prairie-chickens (Tympanuchus spp.) are an example of obligate grassland birds that have declined throughout most of their distribution and are species of conservation concern. Pyric herbivory has been suggested as a land management strategy for enhancing prairie-chicken habitat and stabilizing declining population trends. We assessed differences in vegetation structure created by pyric herbivory compared to fire-only treatments to determine whether pyric herbivory increased habitat heterogeneity for prairie-chickens, spatially or temporally. Our study was performed at four sites in the …
Structural Controls On Crustal Fluid Circulation And Hot Spring Geochemistry Above A Flat‐Slab Subduction Zone, Peru, Brandt E. Scott, Dennis L. Newell, M. J. Jessup, T. A. Grambling, C. A. Shaw
Structural Controls On Crustal Fluid Circulation And Hot Spring Geochemistry Above A Flat‐Slab Subduction Zone, Peru, Brandt E. Scott, Dennis L. Newell, M. J. Jessup, T. A. Grambling, C. A. Shaw
Geosciences Faculty Publications
Hot spring geochemistry from the Cordillera Blanca and Cordillera Huayhuash, Peru, reveal the influence of crustal‐scale structures on geothermal fluid circulation in an amagmatic region located above a flat‐slab subduction zone. To test the influence of contrasting modes of faulting in these regions, springs were targeted along the Cordillera Blanca detachment fault, within its hanging wall, in the footwall of the detachment, and in the Cordillera Huayhuash. Hot springs along the Cordillera Blanca detachment fault zone are associated with recent extension and normal faulting, and those in its footwall and the Cordillera Huayhuash are located in the Marañon fold and …
Plastic Rain In Protected Areas Of The United States, Janice Brahney, Margaret Hallerud, Eric Heim, Maura Hahnenberger, Suja Sukumaran
Plastic Rain In Protected Areas Of The United States, Janice Brahney, Margaret Hallerud, Eric Heim, Maura Hahnenberger, Suja Sukumaran
Watershed Sciences Faculty Publications
Eleven billion metric tons of plastic are projected to accumulate in the environment by 2025. Because plastics are persistent, they fragment into pieces that are susceptible to wind entrainment. Using high-resolution spatial and temporal data, we tested whether plastics deposited in wet versus dry conditions have distinct atmospheric life histories. Further, we report on the rates and sources of deposition to remote U.S. conservation areas. We show that urban centers and resuspension from soils or water are principal sources for wet-deposited plastics. By contrast, plastics deposited under dry conditions were smaller in size, and the rates of deposition were related …
Measuring Channel Planform Change From Image Time Series: A Generalizable, Spatially Distributed, Probabilistic Method For Quantifying Uncertainty, Christina M. Leonard, Carl J. Legleiter, Devin M. Lea, John C. Schmidt
Measuring Channel Planform Change From Image Time Series: A Generalizable, Spatially Distributed, Probabilistic Method For Quantifying Uncertainty, Christina M. Leonard, Carl J. Legleiter, Devin M. Lea, John C. Schmidt
Watershed Sciences Student Research
Abstract
Channels change in response to natural or anthropogenic fluctuations in streamflow and/or sediment supply and measurements of channel change are critical to many river management applications. Whereas repeated field surveys are costly and time‐consuming, remote sensing can be used to detect channel change at multiple temporal and spatial scales. Repeat images have been widely used to measure long‐term channel change, but these measurements are only significant if the magnitude of change exceeds the uncertainty. Existing methods for characterizing uncertainty have two important limitations. First, while the use of a spatially variable image co‐registration error avoids the assumption that errors …
Developing And Implementing A 100% Renewable Electricity Resolution: A Research-Based Framework, Emily E. Skill, Roslynn Brain Mccann, Sarah C. Klain
Developing And Implementing A 100% Renewable Electricity Resolution: A Research-Based Framework, Emily E. Skill, Roslynn Brain Mccann, Sarah C. Klain
All Current Publications
While it may seem that the efforts of local governments have only a marginal impact on the global issue of climate change, local action can spread to generate large-scale change. Local action can inspire other communities to adopt policies, creating the potential to expand and form regional action on climate change. Furthermore, local policies can influence state and federal policies. This guide will walk you through a five-step framework that was developed from the results of a qualitative research study that explored how three Utah cities, Salt Lake City, Park City, and Moab, successfully adopted 100% renewable electricity resolutions.
Pacific Decadal Oscillation Remotely Forced By The Equatorial Pacific And The Atlantic Oceans, Zachary F. Johnson, Yoshimitsu Chikamoto, Shih-Yu Simon Wang, Michael J. Mcphaden, Takashi Mochizuki
Pacific Decadal Oscillation Remotely Forced By The Equatorial Pacific And The Atlantic Oceans, Zachary F. Johnson, Yoshimitsu Chikamoto, Shih-Yu Simon Wang, Michael J. Mcphaden, Takashi Mochizuki
Plants, Soils, and Climate Faculty Publications
The Pacific Decadal Oscillation (PDO), the leading mode of Pacific decadal sea surface temperature variability, arises mainly from combinations of regional air-sea interaction within the North Pacific Ocean and remote forcing, such as from the tropical Pacific and the Atlantic. Because of such a combination of mechanisms, a question remains as to how much PDO variability originates from these regions. To better understand PDO variability, the equatorial Pacific and the Atlantic impacts on the PDO are examined using several 3-dimensional partial ocean data assimilation experiments conducted with two global climate models: the CESM1.0 and MIROC3.2m. In these partial assimilation experiments, …
Developing Open Source Software Using Version Control Systems: An Introduction To The Git Language For Documenting Your Computational Research, Jared D. Smith, Jonathan D. Herman
Developing Open Source Software Using Version Control Systems: An Introduction To The Git Language For Documenting Your Computational Research, Jared D. Smith, Jonathan D. Herman
All ECSTATIC Materials
Version control systems track the history of code as it is committed (saved) by any number of developers. Have you made a coding error and cannot debug it? Version control systems allow for resetting code back to when it worked, and show what code has changed since previous commits.
The contents of this lecture provide an introduction to the git version control language, GitHub for cloud hosting open source code repositories, and tutorials that demonstrate common and useful git and GitHub practices. This lecture is intended to be coupled with a discussion on creating reproducible computational research.
The zipped folder …
Strong Temporal Variability In Methane Fluxes From Natural Gas Well Pad Soils, Seth N. Lyman, Huy N. Q. Tran, Marc L. Mansfield, Ric Bowers, Ann Smith
Strong Temporal Variability In Methane Fluxes From Natural Gas Well Pad Soils, Seth N. Lyman, Huy N. Q. Tran, Marc L. Mansfield, Ric Bowers, Ann Smith
Bingham Research Center
We measured methane and carbon dioxide fluxes at natural gas well pad soils and undisturbed soils in the Rocky Mountain and Gulf Coast regions of the United States, including producing and gas storage wells. We collected both short-term (15 min) and multi-day (between 3 and 8), continuous measurements at 47 well pads and two undisturbed locations. Methane fluxes varied by more than an order of magnitude over periods as short as 30 min (e.g., 19–593 mg m−2 h−1 in one instance), and diurnal and seasonal variability was also significant (e.g., spring-to-fall change from 509 to 14174 mg m …
Machine Learning-Based Signal Degradation Models For Attenuated Underwater Optical Communication Oam Beams, Patrick L. Neary, Abbie T. Watnik, K. Peter Judd, James R. Lindle, Nicholas S. Flann
Machine Learning-Based Signal Degradation Models For Attenuated Underwater Optical Communication Oam Beams, Patrick L. Neary, Abbie T. Watnik, K. Peter Judd, James R. Lindle, Nicholas S. Flann
Computer Science Faculty and Staff Publications
Signal attenuation in underwater communications is a problem that degrades classification performance. Several novel CNN-based (SMART) models are developed to capture the physics of the attenuation process. One model is built and trained using automatic differentiation and another uses the radon cumulative distribution transform. These models are inserted in the classifier training pipeline. It is shown that including these attenuation models in classifier training significantly improves classification performance when the trained model is tested with environmentally attenuated images. The improved classification accuracy will be important in future OAM underwater optical communication applications.
Influence Of Adjuvants On Pesticide Soil-Air Partition Coefficients: Laboratory Measurements And Predicted Effects On Volatilization, Supta Das, Kimberly J. Hageman
Influence Of Adjuvants On Pesticide Soil-Air Partition Coefficients: Laboratory Measurements And Predicted Effects On Volatilization, Supta Das, Kimberly J. Hageman
Chemistry and Biochemistry Faculty Publications
A solid-phase fugacity meter was used to measure the soil–air partition coefficients of three semivolatile pesticides (chlorpyrifos, pyrimethanil, and trifluralin) in the absence of additional adjuvants (Ksoil–air,AI), as part of commercial formulations (Ksoil–air,formulation), and as formulation mixtures with an additional spray adjuvant added (Ksoil–air,formulation+spray adjuvant). Chlorpyrifos Ksoil–air,formulation values were also measured over 15–30 °C, allowing for the change in internal energy of the phase transfer reaction (Δsoil–airU) to be calculated and compared to the Δsoil–airU for Ksoil–air,AI from the literature. Measured Ksoil–air values …
A Robust Structured Tracker Using Local Deep Features, Mohammadreza Javanmardi, Amir Hossein Farzaneh, Xiaojun Qi
A Robust Structured Tracker Using Local Deep Features, Mohammadreza Javanmardi, Amir Hossein Farzaneh, Xiaojun Qi
Computer Science Faculty and Staff Publications
Deep features extracted from convolutional neural networks have been recently utilized in visual tracking to obtain a generic and semantic representation of target candidates. In this paper, we propose a robust structured tracker using local deep features (STLDF). This tracker exploits the deep features of local patches inside target candidates and sparsely represents them by a set of templates in the particle filter framework. The proposed STLDF utilizes a new optimization model, which employs a group-sparsity regularization term to adopt local and spatial information of the target candidates and attain the spatial layout structure among them. To solve the optimization …
N3-Ligated Nickel(Ii) Diketonate Complexes: Synthesis, Characterization And Evaluation Of O2 Reactivity, Josiah G. D. Elsberg, Austin Peterson, Amy L. Fuller, Lisa M. Berreau
N3-Ligated Nickel(Ii) Diketonate Complexes: Synthesis, Characterization And Evaluation Of O2 Reactivity, Josiah G. D. Elsberg, Austin Peterson, Amy L. Fuller, Lisa M. Berreau
Chemistry and Biochemistry Faculty Publications
Interest in O2-dependent aliphatic carbon–carbon (C–C) bond cleavage reactions of first row divalent metal diketonate complexes stems from the desire to further understand the reaction pathways of enzymes such as DKE1 and to extract information to develop applications in organic synthesis. A recent report of O2-dependent aliphatic C–C bond cleavage at ambient temperature in Ni(II) diketonate complexes supported by a tridentate nitrogen donor ligand [(MBBP)Ni(PhC(O)CHC(O)Ph)]Cl (7-Cl; MBBP = 2,6-bis(1-methylbenzimidazol-2-yl)pyridine) in the presence of NEt3 spurred our interest in further examining the chemistry of such complexes. A series of new TERPY-ligated Ni(II) diketonate complexes of the …
Simulation-Optimization For Conjunctive Water Resources Management And Optimal Crop Planning In Kushabhadra-Bhargavi River Delta Of Eastern India, Madan K. Jha, Richard C. Peralta, Sasmita Sahoo
Simulation-Optimization For Conjunctive Water Resources Management And Optimal Crop Planning In Kushabhadra-Bhargavi River Delta Of Eastern India, Madan K. Jha, Richard C. Peralta, Sasmita Sahoo
Publications
Water resources sustainability is a worldwide concern because of climate variability, growing population, and excessive groundwater exploitation in order to meet freshwater demand. Addressing these conflicting challenges sometimes can be aided by using both simulation and mathematical optimization tools. This study combines a groundwater-flow simulation model and two optimization models to develop optimal reconnaissance-level water management strategies. For a given set of hydrologic and management constraints, both of the optimization models are applied to part of the Mahanadi River basin groundwater system, which is an important source of water supply in Odisha State, India. The first optimization model employs a …
Empirical Models For Predicting Water And Heat Flow Properties Of Permafrost Soils, Michael T. O'Connor, M. Bayani Cardenas, Stephen B. Ferencz, Yue Wu, Bethany T. Neilson, Jingyi Chen, George W. Kling
Empirical Models For Predicting Water And Heat Flow Properties Of Permafrost Soils, Michael T. O'Connor, M. Bayani Cardenas, Stephen B. Ferencz, Yue Wu, Bethany T. Neilson, Jingyi Chen, George W. Kling
Publications
Warming and thawing in the Arctic are promoting biogeochemical processing and hydrologic transport in carbon‐rich permafrost and soils that transfer carbon to surface waters or the atmosphere. Hydrologic and biogeochemical impacts of thawing are challenging to predict with sparse information on arctic soil hydraulic and thermal properties. We developed empirical and statistical models of soil properties for three main strata in the shallow, seasonally thawed soils above permafrost in a study area of ~7,500 km2 in Alaska. The models show that soil vertical stratification and hydraulic properties are predictable based on vegetation cover and slope. We also show that …
Snow Processes In Mountain Forests: Interception Modeling For Coarse-Scale Applications, Nora Helbig, David Moeser, Michaela Teich, Laure Vincent, Yves Lejeune, Jean-Emmanuel Sicart, Jean-Matthieu Monnet
Snow Processes In Mountain Forests: Interception Modeling For Coarse-Scale Applications, Nora Helbig, David Moeser, Michaela Teich, Laure Vincent, Yves Lejeune, Jean-Emmanuel Sicart, Jean-Matthieu Monnet
Wildland Resources Student Research
Snow interception by the forest canopy controls the spatial heterogeneity of subcanopy snow accumulation leading to significant differences between forested and nonforested areas at a variety of scales. Snow intercepted by the forest canopy can also drastically change the surface albedo. As such, accurately modeling snow interception is of importance for various model applications such as hydrological, weather, and climate predictions. Due to difficulties in the direct measurements of snow interception, previous empirical snow interception models were developed at just the point scale. The lack of spatially extensive data sets has hindered the validation of snow interception models in different …
Modelling Eurasian Beaver Foraging Habitat And Dam Suitability, For Predicting The Location And Number Of Dams Throughout Catchments In Great Britain, Hugh A. Graham, Alan Puttock, William W. Macfarlane, Joseph Michael Wheaton, Jordan T. Gilbert, Róisín Campbell-Palmer, Mark Elliott, Martin J. Gaywood, Karen Anderson, Richard E. Brazier
Modelling Eurasian Beaver Foraging Habitat And Dam Suitability, For Predicting The Location And Number Of Dams Throughout Catchments In Great Britain, Hugh A. Graham, Alan Puttock, William W. Macfarlane, Joseph Michael Wheaton, Jordan T. Gilbert, Róisín Campbell-Palmer, Mark Elliott, Martin J. Gaywood, Karen Anderson, Richard E. Brazier
Watershed Sciences Faculty Publications
Eurasian beaver (Castor fiber) populations are expanding across Europe. Depending on location, beaver dams bring multiple benefits and/or require management. Using nationally available data, we developed: a Beaver Forage Index (BFI), identifying beaver foraging habitat, and a Beaver Dam Capacity (BDC) model, classifying suitability of river reaches for dam construction, to estimate location and number of dams at catchment scales. Models were executed across three catchments, in Great Britain (GB), containing beaver. An area of 6747 km2 was analysed for BFI and 16,739 km of stream for BDC. Field surveys identified 258 km of channel containing beaver …
Electron Yield Of A Carbon Fiber Composite, Matthew Robertson
Electron Yield Of A Carbon Fiber Composite, Matthew Robertson
Utah Space Grant Consortium
As electron yield models continue to evolve and improve, a study of carbon fiber materials was conducted to try and understand more complex nanoscale structures and their influence on electron yield.
Using Geologic And Geodetic Analyses To Define The Location, Slip Rate, And Geometry Of Off Fault Deformation, Hidden Spring Fault Zone, Southern California, Rebekah Riemann, Andrea Donnellan, Jay Parker
Using Geologic And Geodetic Analyses To Define The Location, Slip Rate, And Geometry Of Off Fault Deformation, Hidden Spring Fault Zone, Southern California, Rebekah Riemann, Andrea Donnellan, Jay Parker
Utah Space Grant Consortium
A strain deficit of about 10 mm/yr exists across the San Andreas Fault system on the boundary between the North American and Pacific plates. We investigate the role of the Hidden Spring Fault Zone, east of the Salton Sea in Southern California, and related structures in accommodating some of this slip. We compile data from historic and current aerial and satellite imagery, coupled with UAVSAR and LiDAR data have allowed us to identify and map hundreds of new fault segments in the region. Where possible, we correlate some of these data with geologic evidence for the faults. These data emphasize …
Applying The Optimal Estimation Method For Retrieving Rayleigh-Scatter Lidar Temperatures In The Mesosphere, Jonathan Price, Robert Sica, Ali Jalali
Applying The Optimal Estimation Method For Retrieving Rayleigh-Scatter Lidar Temperatures In The Mesosphere, Jonathan Price, Robert Sica, Ali Jalali
Utah Space Grant Consortium
The Rayleigh-scatter lidar (RSL) system at the Atmospheric Lidar Observatory at Utah State University (ALO-USU) provided a rich database of absolute temperatures throughout the mesosphere from 45 km to above 90 km between 1993 and 2004. Recently, a new method for retrieving absolute temperatures from RSL observations has been developed by a group at the University of Western Ontario (UWO), Canada. The Optimal Estimation Method (OEM) uses machine learning to minimize a cost function by optimizing the temperature parameter in a forward model, in our case the lidar equation, to RSL data. This optimization provides some benefits over the existing …
Growing Food In Space: A Comparison Of Led And Solar-Fiber-Optic Technologies, Paul Kusuma, J. Matthew Hardy
Growing Food In Space: A Comparison Of Led And Solar-Fiber-Optic Technologies, Paul Kusuma, J. Matthew Hardy
Utah Space Grant Consortium
Growing food on Mars for long-term space exploration has many benefits including reduced fuel and cost requirements for lift-off, improved nutrition and psychological benefits for astronauts, air purification, and oxygen and water regeneration. However, complications are caused by the thin atmosphere on Mars, which would force production underground or into a heavily armored shelter. Providing the massive number of photons necessary to grow food is expensive and careful consideration must be made regarding the most promising technologies. The two most promising options are a combination of either concentrating mirrors coupled to solar-fiber-optics (SFO), or photovoltaics (PV) coupled to light-emitting diodes …
Byu Rocketry, Joseph Andrews, Bradley Buttars, Mark Johnson, Zachary Lawless, Jodi Pham, Harris Rothaermel, Mark Sweeney
Byu Rocketry, Joseph Andrews, Bradley Buttars, Mark Johnson, Zachary Lawless, Jodi Pham, Harris Rothaermel, Mark Sweeney
Utah Space Grant Consortium
BYU Rocketry competed in the 2019 Intercollegiate Rocket Engineering Competition at the 3rd Annual Spaceport America Cup in Las Cruces, NM by building an 8-foot High Power rocket to send an 8.8 lb. CubeSat payload 10,000 ft. above ground level. Over 100 collegiate teams from around the world will competed.
Applying Real-World Learning Through Amusement Parks To Help Teach The Upcoming Changes To Utah Core Standard, Phil Lundgreen, Amanda Otterstrom
Applying Real-World Learning Through Amusement Parks To Help Teach The Upcoming Changes To Utah Core Standard, Phil Lundgreen, Amanda Otterstrom
Utah Space Grant Consortium
To assist educators in satisfying the Science with Engineering Education (SEEd) Standards the Utah State University (USU) Physics Department has developed a curriculum centered around USU Physics Day at Lagoon.
With an upcoming change to Utah's core standards and a shift to more hands-on learning styles, the use of real-world learning offered by amusement park applications is analyzed in its ability to satisfy the Utah State Bureau of Education’s (USBE) SEEd standards. Amusement park learning allows educators a vehicle to capture students’ attention in the classroom by discussing science principles in a fun and exciting manner with a promise of …
Great Salt Lake Halophilic Archaea As A Model For Possible Extant Life On Mars, Alex J. Breda, Michael J. Regan Jr.
Great Salt Lake Halophilic Archaea As A Model For Possible Extant Life On Mars, Alex J. Breda, Michael J. Regan Jr.
Utah Space Grant Consortium
Expansive evaporite mineral deposits and other geological features on Mars are evidence of ancient lacustrine systems before the planet experienced global climatic change (~3.5 Ga). On Mars, as the surface water dried up, hypersaline lakes would have filled the ancient lake basins. On Earth, the Bonneville Basin, in the western United States, tells a similar story in a more recent timeframe. Today, the bottom of this basin is the modern Great Salt Lake (GSL) and the Bonneville Salt Flats. Evaporation of this freshwater lake left large evaporitic mineral deposits that continually supply salt to modern GSL. Parts of the lake …
Understanding Personal Data In The World Of Social Media, Nicholas Scott Rodgers
Understanding Personal Data In The World Of Social Media, Nicholas Scott Rodgers
Undergraduate Honors Capstone Projects
Personal data is behind many of the online interactions that people have through social media and other online sites and services. This data allows sites to understand their users, which in turn allows them to provide better content for their users. This data is also used to determine user interests, which these online services use to target more relevant advertising to their users, and share the information that they collect about their users with third parties. It is only recently that this personal data is being regulated by lawmakers, the businesses running these sites are held accountable for managing the …
Analysis Of Sat And Isat Scores For Madison School District In Rexburg, Idaho, Holly Dawn Palmer
Analysis Of Sat And Isat Scores For Madison School District In Rexburg, Idaho, Holly Dawn Palmer
Undergraduate Honors Capstone Projects
Testing is an integral part of measuring education. If used properly SAT scores can be compared across the nation, and statewide tests can compare different school districts to each other if done properly to avoid certain pitfalls (Fetler, 1991). However, if tests do not have a significant impact on a student, their motivation to take the test will be low and test quality cannot be assumed. When the state funds two separate tests for their students but only one has a significant impact on the student, how should the scores for each test be used, and is it okay to …