Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Social and Behavioral Sciences (3)
- Computer Sciences (2)
- Earth Sciences (2)
- Engineering (2)
- Environmental Sciences (2)
-
- Geography (2)
- Geomorphology (2)
- Physical and Environmental Geography (2)
- Statistics and Probability (2)
- Applied Mathematics (1)
- Artificial Intelligence and Robotics (1)
- Astrophysics and Astronomy (1)
- Atmospheric Sciences (1)
- Aviation (1)
- Electro-Mechanical Systems (1)
- Engineering Physics (1)
- Library and Information Science (1)
- Mechanical Engineering (1)
- Meteorology (1)
- Natural Resources Management and Policy (1)
- Oceanography and Atmospheric Sciences and Meteorology (1)
- Physics (1)
- Stars, Interstellar Medium and the Galaxy (1)
- Sustainability (1)
- Theory and Algorithms (1)
- Keyword
-
- 3D mapping (1)
- Aeolian (1)
- Algorithm (1)
- American Library Association (1)
- Bi-stability jump (1)
-
- Bioinformatics (1)
- Brownian bridge movement models (1)
- Cliff-top dunes (1)
- Close binary star systems (1)
- Dead reckoning (1)
- Elk (1)
- Enhanced wind mass-loss (1)
- Fluvial (1)
- Formulations (1)
- Genomic data (1)
- Geomorphic (1)
- Geomorphology (1)
- Habitat selection (1)
- Home range (1)
- IMU (1)
- INS (1)
- Kernel density estimation (1)
- LCL (1)
- Librarianship (1)
- Libraries (1)
- Lifting condensation level (1)
- MEMS (1)
- Machine learning (1)
- Mass wasting (1)
- Massive stars (1)
- Publication
- Publication Type
Articles 1 - 9 of 9
Full-Text Articles in Physical Sciences and Mathematics
Libraries As Sustainability Leaders: Ala's Special Task Force, René Tanner, Rebekkah Smith Aldrich, Monika Antonelli, Adrian K. Ho
Libraries As Sustainability Leaders: Ala's Special Task Force, René Tanner, Rebekkah Smith Aldrich, Monika Antonelli, Adrian K. Ho
Library Services Publications
This article discusses the work of the American Library Association (ALA) Special Task Force on Sustainability, which identified 52 recommendations, including the adoption of sustainability as a core value of librarianship. The group aims to promote libraries as catalysts, connectors, and conveners to promote sustainability, resilience, and regeneration. The Task Force is guided by the concept of the triple bottom line, which states that an organization's practices must be not only economically feasible but also socially equitable and environmentally sound. The article also provides examples of how libraries engage in sustainable practices to support the cities and towns they serve.
Development Of A Sensing System For Underground Optic Fiber Cable Conduit Mapping, Sherif Bakr
Development Of A Sensing System For Underground Optic Fiber Cable Conduit Mapping, Sherif Bakr
All Graduate Theses, Dissertations, and Other Capstone Projects
The motivation of this research is to obtain an accurate three-dimensional (3D) layout of an underground conduit, which may be beneficial to optic fiber cable installers and engineers. A newly designed algorithm for 3D position tracking with the help of an inertial sensor and an encoder has been developed. Two types of representations (Euler angle and Quaternion) for orientation and rotation are also introduced, followed by several data pre-processing procedures. A sensing fusion method is utilized to overcome the accumulated errors introduced by the sensor drifting. Considering the application of 3D underground duct mapping in this research, a sensing system …
A New Model For Lifting Condensation Levels Estimation, Nihad E. Daidzic
A New Model For Lifting Condensation Levels Estimation, Nihad E. Daidzic
Aviation Department Publications
Knowledge of and the ability to predict lifting condensation levels (LCL) is important ingredient in weather predictions, cloud formation, planetary albedo and Earth’s energy balance. It is also essential topic in aviation safety and flight operations. In this article, we derive a new model of LCL and compare it to some older commonly-used models. This includes also the recently published Romps’ (2017) model. The new model presented here includes dependence, however weak, of the surface atmospheric pressure and the specific humidity on the LCL height and temperature. Such is not the case with widely used models and expressions by Espy …
Cliff-Top Dunes In The Lower Chippewa River Valley Of West-Central Wisconsin, Jason Millett
Cliff-Top Dunes In The Lower Chippewa River Valley Of West-Central Wisconsin, Jason Millett
All Graduate Theses, Dissertations, and Other Capstone Projects
The purpose of this Master’s thesis is to investigate recently identified cliff-top sand dunes located within the Lower Chippewa River Valley (LCRV), Wisconsin, USA. Research within the LCRV notes the existence of a variety of aeolian deposits, but a comprehensive explanation of their complete spatial distribution, genesis, age, and paleoenvironmental significance does not exist. In particular, stabilized cliff-top dunes with a parabolic form remain poorly understood. This problem is exacerbated by a lack of clarity in the literature regarding the genesis of dunes in a cliff-top position. Therefore, this thesis begins by reviewing the literature concerning sand dunes in cliff-top …
Annual And Seasonal Measurements Of Home Ranges And Habitat Use By Female Elk (Cervus Elaphus) In Northwestern Minnesota, Alicia E. Freeman
Annual And Seasonal Measurements Of Home Ranges And Habitat Use By Female Elk (Cervus Elaphus) In Northwestern Minnesota, Alicia E. Freeman
All Graduate Theses, Dissertations, and Other Capstone Projects
Elk were present historically in Minnesota’s prairies and forest transition zone up until their extirpation from the state in the late 1800s (Hazard 1982, Minnesota Department of Natural Resources [MNDNR] 2017). Settlers moving into the region converted much of the land for agricultural purposes, significantly reducing the amount of habitat available for elk, and ultimately leading to their extirpation in the early 1900s. Elk returned to the state in the 1930s through a reintroduction effort, as well as through natural dispersal from North Dakota USA, and Manitoba Canada in the 1980s (MNDNR 2017). In 2016, the Minnesota Department of Natural …
The Pre-Roche Lobe Overflow Evolution Of Massive Close Binary Stars: A Study Of Rotation, Wind Enhanced Mass-Loss, And The Bi-Stability Jump, Thomas C. Gehrman Jr.
The Pre-Roche Lobe Overflow Evolution Of Massive Close Binary Stars: A Study Of Rotation, Wind Enhanced Mass-Loss, And The Bi-Stability Jump, Thomas C. Gehrman Jr.
All Graduate Theses, Dissertations, and Other Capstone Projects
Massive stars have the ability to enrich their environment with heavy elements and influence star formation in galaxies. Some massive stars exist in binary systems with short orbital periods. These are called massive close binaries. It is important to understand the evolution of massive close binary systems to gain insight about galaxy evolution. Massive stars above 20 solar masses experience a bi-stability jump where there is a sudden increase in mass-loss rate in their winds. There is ongoing research in this field, but the study of the bi-stability jump and its effects on massive close binary star properties has not …
A Statistical Analysis And Machine Learning Of Genomic Data, Jongyun Jung
A Statistical Analysis And Machine Learning Of Genomic Data, Jongyun Jung
All Graduate Theses, Dissertations, and Other Capstone Projects
Machine learning enables a computer to learn a relationship between two assumingly related types of information. One type of information could thus be used to predict any lack of informaion in the other using the learned relationship. During the last decades, it has become cheaper to collect biological information, which has resulted in increasingly large amounts of data. Biological information such as DNA is currently analyzed by a variety of tools. Although machine learning has already been used in various projects, a flexible tool for analyzing generic biological challenges has not yet been made. The recent advancements in the DNA …
Adaptive Smoothing Parameter In Kernel Density Estimation And Parameter Estimation In Normal Mixture Distributions, Sabiha Mahzabeen
Adaptive Smoothing Parameter In Kernel Density Estimation And Parameter Estimation In Normal Mixture Distributions, Sabiha Mahzabeen
All Graduate Theses, Dissertations, and Other Capstone Projects
Kernel density estimation is a widely used tool in nonparametric density estimation procedures. Choice of a kernel function and a smoothing parameter are two important issues in implementing kernel density estimation procedures. In this paper, four different kernel functions are considered in implementing an adaptive selection procedure in choosing the smoothing parameter. In simulation, a skewed bimodal density which is a mixture of two normal distributions is considered along with the standard normal and the standard exponential densities. In skewed bimodal data, parameter estimation is also explored in the context of the parameter estimation in mixtures of normal distributions. Maximum …
Mass Wasting Investigation And Assessment In The Midwest: Case Study Of The Minnesota River Valley, New Ulm To St. Peter, Minnesota, Usa, Melissa Kohout
Mass Wasting Investigation And Assessment In The Midwest: Case Study Of The Minnesota River Valley, New Ulm To St. Peter, Minnesota, Usa, Melissa Kohout
All Graduate Theses, Dissertations, and Other Capstone Projects
Many mass- wasting studies have been conducted worldwide, however, investigations have focused in mountainous or coastal regions. This has proven problematic in areas lacking those features yet are experiencing mass wasting. Several anthropogenic risks, economic loss, and environmental issues are associated with mass wasting such as destruction of property, loss of life, and sediment pollution. The midwestern USA, is generally considered a low relief region, therefore limited data exist for mass wasting occurrence. Within the last decade, however, several events have occurred across Minnesota with little understanding of the ongoing hillslope processes leading to failure. The Minnesota River valley is …