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Articles 16141 - 16170 of 18312
Full-Text Articles in Physical Sciences and Mathematics
Editorial: Carbon Cycling In Aquatic Critical Zones, Peng Yao, Thomas S. Bianchi, David J. Burdige, Xiaojuan Feng, Peter A. Raymond
Editorial: Carbon Cycling In Aquatic Critical Zones, Peng Yao, Thomas S. Bianchi, David J. Burdige, Xiaojuan Feng, Peter A. Raymond
OES Faculty Publications
No abstract provided.
The Resilience Adaptation Feasibility Tool (Raft) As An Approach For Incorporating Equity Into Coastal Resilience Planning And Project Implementation, Juita-Elena (Wie) Yusuf, Tanya Denckla Cobb, Elizabeth Andrews, Sierra Gladfelter, Gray Montrose
The Resilience Adaptation Feasibility Tool (Raft) As An Approach For Incorporating Equity Into Coastal Resilience Planning And Project Implementation, Juita-Elena (Wie) Yusuf, Tanya Denckla Cobb, Elizabeth Andrews, Sierra Gladfelter, Gray Montrose
School of Public Service Faculty Publications
As coastal communities across the U.S. and worldwide undertake efforts to enhance their resilience to coastal hazards, they must do so while ensuring that all voices are heard, addressing and preventing disparate impacts, and, ultimately, increasing resilience in an equitable way. The Resilience Adaptation Feasibility Tool (RAFT) assists coastal communities in incorporating equity into resilience planning and implementation of projects to increase resilience. The RAFT includes social and economic dimensions in assessment of resilience and focuses on how localities can build resilience equitably. The RAFT process has three phases -- a scorecard assessment, development of a resilience action checklist that …
Do Sequels Outperform Or Disappoint? Insights From An Analysis Of Amazon Echo Consumer Reviews, Kyong Jin Shim, Siaw Ling Lo, Su Yee Liew
Do Sequels Outperform Or Disappoint? Insights From An Analysis Of Amazon Echo Consumer Reviews, Kyong Jin Shim, Siaw Ling Lo, Su Yee Liew
Research Collection School Of Computing and Information Systems
Rapid technological advances in recent years drastically transformed our world. Amidst modern technological inventions such as smart phones, smart watches and smart home devices, consumers of electronic digital devices experience greatly improved automation, productivity, and efficiency in conducting routine daily tasks, information searching, shopping as well as finding entertainment. In the last few years, the global smart speaker market has undergone significant growth. As technology continues to advance and smart speakers are equipped with innovative features, the adoption of smart speakers will increase and so will consumer expectations. This research paper presents an aspect-specific sentiment analysis of consumer reviews of …
2022 Report To The Governor: Utah's Land, Water, And Air, Janet Quinney Lawson Institute For Land, Water, And Air
2022 Report To The Governor: Utah's Land, Water, And Air, Janet Quinney Lawson Institute For Land, Water, And Air
Reports
This report serves as a 2022 snapshot of key issues and concerns with Utah's shared resources. It highlights gathered data that is available to provide context to these issues, as well as identifies areas where more study is needed. Addressing these challenges will enable Utah policymakers and other statewide leaders to make informed decisions for the future. Under the authorship of 37 researchers and experts and the general guidance of 38 advisory committee members, the report outlines 26 issues and trends to pay attention to in the coming months and years.
Spectral Variability In Naturally Weathered Rock Surfaces And Implications For Mars, Sabrina Curtis
Spectral Variability In Naturally Weathered Rock Surfaces And Implications For Mars, Sabrina Curtis
WWU Graduate School Collection
Rock weathering products are important clues for understanding past environmental conditions on Mars. They can be identified using reflectance spectroscopy because the formation of new minerals and textures on a rock surface will change its spectral signature. Previous studies demonstrate that the spectral signature of coated rock surfaces can vary with viewing geometry (the angle between incident and emitted light); however, these photometric effects have not been extensively characterized for naturally weathered rocks. My goal in this study is to quantify how both weathering and viewing geometry affect visible to near-infrared (VNIR) reflectance spectra of a subset of naturally weathered …
Loguad: Log Unsupervised Anomaly Detection Based On Word2vec, Jin Wang, Changqing Zhao, Shiming He, Yu Gu, Osama Alfarraj, Ahed Abugabah
Loguad: Log Unsupervised Anomaly Detection Based On Word2vec, Jin Wang, Changqing Zhao, Shiming He, Yu Gu, Osama Alfarraj, Ahed Abugabah
All Works
System logs record detailed information about system operation and are important for analyzing the system's operational status and performance. Rapid and accurate detection of system anomalies is of great significance to ensure system stability. However, large-scale distributed systems are becoming more and more complex, and the number of system logs gradually increases, which brings challenges to analyze system logs. Some recent studies show that logs can be unstable due to the evolution of log statements and noise introduced by log collection and parsing. Moreover, deep learning-based detection methods take a long time to train models. Therefore, to reduce the computational …
Secure Storage Model For Digital Forensic Readiness, Avinash Singh, Richard Adeyemi Ikuesan, Hein Venter
Secure Storage Model For Digital Forensic Readiness, Avinash Singh, Richard Adeyemi Ikuesan, Hein Venter
All Works
Securing digital evidence is a key factor that contributes to evidence admissibility during digital forensic investigations, particularly in establishing the chain of custody of digital evidence. However, not enough is done to ensure that the environment and access to the evidence are secure. Attackers can go to extreme lengths to cover up their tracks, which is a serious concern to digital forensics – particularly digital forensic readiness. If an attacker gains access to the location where evidence is stored, they could easily alter the evidence (if not remove it altogether). Even though integrity checks can be performed to ensure that …
Using Interactive Technology To Develop Preservice Teachers’ Steam Competencies In Early Childhood Education Program, Areej Elsayary, Rana Zein, Lani San Antonio
Using Interactive Technology To Develop Preservice Teachers’ Steam Competencies In Early Childhood Education Program, Areej Elsayary, Rana Zein, Lani San Antonio
All Works
Using interactive technology leads to an interactive learning environment where learners develop their STEAM competencies, including critical thinking, collaboration, communication, creativity and innovation, self-direction, connection, and the use of interactive technology tools effectively. This research aims to investigate the use of interactive technology in developing preservice teachers’ STEAM competencies. The participants were preservice teachers (n=80) in an early childhood education program at a Federal University in the United Arab Emirates. An explanatory sequential mixed-method approach used quantitative analysis (quasi-experiment) followed by a qualitative approach (a focus group discussion was conducted). An online survey was used to collect the quantitative data …
Appliancenet: A Neural Network Based Framework To Recognize Daily Life Activities And Behavior In Smart Home Using Smart Plugs, Muhammad Fahim, S. M.Ahsan Kazmi, Asad Masood Khattak
Appliancenet: A Neural Network Based Framework To Recognize Daily Life Activities And Behavior In Smart Home Using Smart Plugs, Muhammad Fahim, S. M.Ahsan Kazmi, Asad Masood Khattak
All Works
A smart plug can transform the typical electrical appliance into a smart multi-functional device, which can communicate over the Internet. It has the ability to report the energy consumption pattern of the attached appliance which offer the further analysis. Inside the home, smart plugs can be utilized to recognize daily life activities and behavior. These are the key elements to provide human-centered applications including healthcare services, power consumption footprints, and household appliance identification. In this research, we propose a novel framework ApplianceNet that is based on energy consumption patterns of home appliances attached to smart plugs. Our framework can process …
Haptic Feedback To Assist Blind People In Indoor Environment Using Vibration Patterns, Shah Khusro, Babar Shah, Inayat Khan, Sumayya Rahman
Haptic Feedback To Assist Blind People In Indoor Environment Using Vibration Patterns, Shah Khusro, Babar Shah, Inayat Khan, Sumayya Rahman
All Works
Feedback is one of the significant factors for the mental mapping of an environment. It is the communication of spatial information to blind people to perceive the surroundings. The assistive smartphone technologies deliver feedback for different activities using several feedback mediums, including voice, sonification and vibration. Researchers 0have proposed various solutions for conveying feedback messages to blind people using these mediums. Voice and sonification feedback are effective solutions to convey information. However, these solutions are not applicable in a noisy environment and may occupy the most important auditory sense. The privacy of a blind user can also be compromised with …
Uav Remote Sensing Approaches To Mapping Glacier Ablation And Snow Algae Radiative Forcing In The North Cascades., Shannon Healy
Uav Remote Sensing Approaches To Mapping Glacier Ablation And Snow Algae Radiative Forcing In The North Cascades., Shannon Healy
WWU Graduate School Collection
The stability of our cryosphere relies on highly reflective snow surfaces that reflect solar radiation, thereby maintaining the energy balance of the earth. The advances in Uncrewed Aerial Vehicle (UAV) technology allow for researchers to assess snow surfaces in remote terrain at unprecedented scales. With this thesis, we demonstrate the range of UAV applications to assess glacier ablation and map snow algae in the North Cascades. The first chapter employs a low-cost, light-weight UAV to measure ablation of the Sholes Glacier using Structure-from-Motion technology and validates the measurements with outlet stream discharge data collected by the Nooksack Indian Tribe. We …
Structural History Of The Bald Mountain Mining District, Nevada, Usa, David Paul Ryan
Structural History Of The Bald Mountain Mining District, Nevada, Usa, David Paul Ryan
WWU Graduate School Collection
The Bald Mountain Mining district, like much of central Nevada, has experienced a complex deformation history. The mining district is considered here as a southern extension of the well-studied Carlin trend of gold deposits to the north. In order to gain a better understanding of how the Bald Mountain Mining District structural style relates to other structural models developed to the north in the Carlin trend, I completed a mapping and structural domain analysis in the district, with a focus on the North Mooney basin area where a high spatial concentration of Carlin-type gold deposits occur. The identification of structural …
Analysis Of Blockchain Solutions For E-Voting: A Systematic Literature Review, Ali Benabdallah, Antoine Audras, Louis Coudert, Nour El Madhoun, Mohamad Badra
Analysis Of Blockchain Solutions For E-Voting: A Systematic Literature Review, Ali Benabdallah, Antoine Audras, Louis Coudert, Nour El Madhoun, Mohamad Badra
All Works
To this day, abstention rates continue to rise, largely due to the need to travel to vote. This is why remote e-voting will increase the turnout by allowing everyone to vote without the need to travel. It will also minimize the risks and obtain results in a faster way compared to a traditional vote with paper ballots. In fact, given the high stakes of an election, a remote e-voting solution must meet the highest standards of security, reliability, and transparency to gain the trust of citizens. In literature, several remote e-voting solutions based on blockchain technology have been proposed. Indeed, …
Mathematical Analysis Of The Van Der Waals Equation, Emil Prodanov
Mathematical Analysis Of The Van Der Waals Equation, Emil Prodanov
Articles
The parametric cubic van der Waals polynomial $p V^3 - (R T + b p) V^2 + a V - a b$ is analysed mathematically and some new generic features (theoretically, for any substance) are revealed: the temperature range for applicability of the van der Waals equation, $T > a/(4Rb)$, and the isolation intervals, at any given temperature between $a/(4Rb)$ and the critical temperature $8a/(27Rb)$, of the three volumes on the isobar--isotherm: $3b/2 < V_A \le 3b$, $ 2b < V_B < 4b/(3 - \sqrt{5})$, and $3b < V_C < b + RT/p$. The unstable states of the van der Waals model have also been generically localized: they lie in an interval within the isolation interval of $V_B$. In the case of unique intersection point of an isotherm with an isobar, the isolation interval of this unique volume is also determined. A discussion on finding the volumes $V_{A, B, C}$, on the premise of Maxwell's hypothesis, is also presented.
A New Non-Inheriting Homogeneous Solution Of The Einstein-Maxwell Equations With Cosmological Term, Charles G. Torre
A New Non-Inheriting Homogeneous Solution Of The Einstein-Maxwell Equations With Cosmological Term, Charles G. Torre
Research Vignettes
No abstract provided.
The De Rham Decomposition Theorem, Ian M. Anderson, Charles G. Torre
The De Rham Decomposition Theorem, Ian M. Anderson, Charles G. Torre
Tutorials on... in 1 hour or less
In this worksheet we show how the DG software provides for a local implementation of the de Rham decomposition theorem for Riemannian manifolds.
When Is A Linear Connection A Metric Connection?, Ian M. Anderson, Charles G. Torre
When Is A Linear Connection A Metric Connection?, Ian M. Anderson, Charles G. Torre
Tutorials on... in 1 hour or less
In this worksheet we use the DG software to answer the following question: When is there a metric tensor on M whose Christoffel symbols coincide with the components of a given linear connection?
What's New In Differentialgeometry Release Dg2022, Ian M. Anderson, Charles G. Torre
What's New In Differentialgeometry Release Dg2022, Ian M. Anderson, Charles G. Torre
Tutorials on... in 1 hour or less
This Maple worksheet demonstrates the salient new features and functionalities of the 2022 release of the DifferentialGeometry software package.
Natural Environment: Protocol To Recover Pollen Grains On Bodies, Karl J. Reinhard, A. Barbosa
Natural Environment: Protocol To Recover Pollen Grains On Bodies, Karl J. Reinhard, A. Barbosa
School of Natural Resources: Faculty Publications
No abstract provided.
Ghgs From Bmps: Examining The Factors That Mediate Soilborne Greenhouse Gas Emissions From Agricultural Best Management Practices, Sarah Brickman
Ghgs From Bmps: Examining The Factors That Mediate Soilborne Greenhouse Gas Emissions From Agricultural Best Management Practices, Sarah Brickman
Graduate College Dissertations and Theses
Agricultural best management practices (BMPs) promote soil health and achieve multiple positive environmental outcomes. However, practices that are intended to solve one environmental challenge may have unintended climate impacts, therefore presenting a potential tradeoff. For example, manure injection is a BMP that can reduce runoff and nitrogen loss as ammonia gas (NH3) but can increase N2O and CO2 emissions compared to manure broadcast application. This thesis explores how CO2 and N2O emissions from manure injection compare to other soil fertility practices as well as the conditions that may enhance or reduce these greenhouse gas (GHG) fluxes. First, during a two-year …
Brain Image Fusion Approach Based On Side Window Filtering, Ahmad Al Smadi, Ahed Abugabah, Atif Mehmood, Shuyuan Yang
Brain Image Fusion Approach Based On Side Window Filtering, Ahmad Al Smadi, Ahed Abugabah, Atif Mehmood, Shuyuan Yang
All Works
Brain medical image fusion plays an important role in framing a contemporary image to enhance the reciprocal and repetitive information for diagnosis purposes. A novel approach using kernel-based image filtering on brain images is presented. Firstly, the Bilateral filter is used to generate a high-frequency component of a source image. Secondly, an intensity component is estimated for the first image. Thirdly, side window filtering is employed on several filters, including the guided filter, gradient guided filter, and weighted guided filter. Thereby minimizing the difference between the intensity component of the first image and the low pass filter of the second …
Smart Covid-3d-Scnn: A Novel Method To Classify X-Ray Images Of Covid-19, Ahed Abugabah, Atif Mehmood, Ahmad Ali Al Zubi, Louis Sanzogni
Smart Covid-3d-Scnn: A Novel Method To Classify X-Ray Images Of Covid-19, Ahed Abugabah, Atif Mehmood, Ahmad Ali Al Zubi, Louis Sanzogni
All Works
The outbreak of the novel coronavirus has spread worldwide, and millions of people are being infected. Image or detection classification is one of the first application areas of deep learning, which has a significant contribution to medical image analysis. In classification detection, one or more images (detection) are usually used as input, and diagnostic variables (such as whether there is a disease) are used as output. The novel coronavirus has spread across the world, infecting millions of people. Early-stage detection of critical cases of COVID-19 is essential. X-ray scans are used in clinical studies to diagnose COVID-19 and Pneumonia early. …
River Report. State Of The Lower St. Johns River Basin, Florida: Water Quality, Fisheries, Aquatic Life, Contaminants, 2022., Environmental Protection Board, City Of Jacksonville, University Of North Florida, Jacksonville University, Gerry Pinto, Gretchen Bielmyer-Fraser, John Burr, Dale Casamatta, Charles Closmann, Brian P. Zoellner, Ashley Johnson, An-Phong Le, William Penwell, Radha Pyati
River Report. State Of The Lower St. Johns River Basin, Florida: Water Quality, Fisheries, Aquatic Life, Contaminants, 2022., Environmental Protection Board, City Of Jacksonville, University Of North Florida, Jacksonville University, Gerry Pinto, Gretchen Bielmyer-Fraser, John Burr, Dale Casamatta, Charles Closmann, Brian P. Zoellner, Ashley Johnson, An-Phong Le, William Penwell, Radha Pyati
State of the River Report
No abstract provided.
Infrastructure As Code Strategies And Benefits In Cloud Computing, Jeffrey Chijioke-Uche
Infrastructure As Code Strategies And Benefits In Cloud Computing, Jeffrey Chijioke-Uche
Walden Dissertations and Doctoral Studies
Hybrid and multicloud infrastructure implementation without automation and versioning strategy can negatively impact organizations’ productivity. Organization leaders must ensure that infrastructures are implemented using the infrastructure as code (IaC) strategy because implementation solutions, including automated and DevOps procedures, provide assets for repeatable infrastructure implementation use cases. Grounded in the disruptive innovation theory, the purpose of this qualitative pragmatic inquiry study was to explore strategies solution architects use to implement IaC architecture using repeatable assets with DevOps procedures in cloud computing. The participants were seven solution architects in the information technology (IT) industry within the United States who have successfully implemented …
Forward-Looking Strategies For Safely Adopting Digital Transformation In Aviation, Melissa King
Forward-Looking Strategies For Safely Adopting Digital Transformation In Aviation, Melissa King
Walden Dissertations and Doctoral Studies
Aviation leaders in the U.S. federal government face challenges in adopting technical evolution and advancing modernization while adhering to the rigor of a deeply entrenched safety culture. The purpose of this qualitative modified Delphi study was to determine how a panel of 21 aerospace experts based in Washington, DC viewed strategies for adopting to new technologies while ensuring safety. The management concepts that framed the study were safety culture and digital transformation. The study addressed the research question of how a panel of aviation experts viewed the desirability, feasibility, and importance of forward-looking strategies for adopting digital transformation while adhering …
Estimating Fuel-Efficient Air Plane Trajectories Using Machine Learning, Jaiteg Singh, Gaurav Goyal, Farman Ali, Babar Shah, Sangheon Pack
Estimating Fuel-Efficient Air Plane Trajectories Using Machine Learning, Jaiteg Singh, Gaurav Goyal, Farman Ali, Babar Shah, Sangheon Pack
All Works
Airline industry has witnessed a tremendous growth in the recent past. Percentage of people choosing air travel as first choice to commute is continuously increasing. Highly demanding and congested air routes are resulting in inadvertent delays, additional fuel consumption and high emission of greenhouse gases. Trajectory planning involves creation identification of cost-effective flight plans for optimal utilization of fuel and time. This situation warrants the need of an intelligent system for dynamic planning of optimized flight trajectories with least human intervention required. In this paper, an algorithm for dynamic planning of optimized flight trajectories has been proposed. The proposed algorithm …
Single Valued Neutrosophic (M; N)-Ideals Of Ordered Semirings, Saba Al-Kaseasbeh, Madeline Al Tahan, Bijan Davvaz, Mariam Hariri
Single Valued Neutrosophic (M; N)-Ideals Of Ordered Semirings, Saba Al-Kaseasbeh, Madeline Al Tahan, Bijan Davvaz, Mariam Hariri
All Works
The aim of this paper is to combine the innovative concept of single valued neutrosophic sets and ordered semirings. It studies ordered semirings by the properties of their single valued neutrosphic subsets. In this regard, we define single valued neutrosophic (m; n)-ideals (SVN-(m; n)-ideals) of ordered semirings. First, we illustrate our new definition by non-trivial examples. Second, we study these SVN-(m; n)-ideals under different operations of SVNS. Finally, we find a relationship between the (m; n)-ideals of ordered semirings and level sets by finding a necessary and sufficient condition for an SVNS of an ordered semiring R to be an …
Smart Application For Every Car (Saec). (Ar Mobile Application), Murad Al-Rajab, Samia Loucif, Ossama Kousi, Mohamad Bassem Irani
Smart Application For Every Car (Saec). (Ar Mobile Application), Murad Al-Rajab, Samia Loucif, Ossama Kousi, Mohamad Bassem Irani
All Works
Technology is continuously evolving at an exponential rate. Fast technological advances are being made, especially in the field of smart phones, that facilitate the conduct of our daily activities in many areas such as driving. The ever-increasing number of vehicles on roads increases the likelihood of traffic accidents, resulting in higher number of deaths and serious injuries to drivers, passengers, and pedestrians. Among the main causes of road accidents are over speeding, unsafe lane jumping, and failure to keep a safe distance between vehicles, to name a few. In an attempt to contribute to the improvement of road traffic safety, …
Improved Reptile Search Optimization Algorithm Using Chaotic Map And Simulated Annealing For Feature Selection In Medical Filed, Zenab Elgamal, Aznul Qalid Md Sabri, Mohammad Tubishat, Dina Tbaishat, Sharif Naser Makhadmeh, Osama Ahmad Alomari
Improved Reptile Search Optimization Algorithm Using Chaotic Map And Simulated Annealing For Feature Selection In Medical Filed, Zenab Elgamal, Aznul Qalid Md Sabri, Mohammad Tubishat, Dina Tbaishat, Sharif Naser Makhadmeh, Osama Ahmad Alomari
All Works
The increased volume of medical datasets has produced high dimensional features, negatively affecting machine learning (ML) classifiers. In ML, the feature selection process is fundamental for selecting the most relevant features and reducing redundant and irrelevant ones. The optimization algorithms demonstrate its capability to solve feature selection problems. Reptile Search Algorithm (RSA) is a new nature-inspired optimization algorithm that stimulates Crocodiles’ encircling and hunting behavior. The unique search of the RSA algorithm obtains promising results compared to other optimization algorithms. However, when applied to high-dimensional feature selection problems, RSA suffers from population diversity and local optima limitations. An improved metaheuristic …
Leveraging Natural Language Processing To Analyse The Temporal Behavior Of Extremists On Social Media, May El Barachi, Sujith Samuel Mathew, Farhad Oroumchian, Imene Ajala, Saad Lutfi, Rand Yasin
Leveraging Natural Language Processing To Analyse The Temporal Behavior Of Extremists On Social Media, May El Barachi, Sujith Samuel Mathew, Farhad Oroumchian, Imene Ajala, Saad Lutfi, Rand Yasin
All Works
Aiming at achieving sustainability and quality of life for citizens, future smart cities adopt a data-centric approach to decision making in which assets, people, and events are constantly monitored to inform decisions. Public opinion monitoring is of particular importance to governments and intelligence agencies, who seek to monitor extreme views and attempts of radicalizing individuals in society. While social media platforms provide increased visibility and a platform to express public views freely, such platforms can also be used to manipulate public opinion, spread hate speech, and radicalize others. Natural language processing and data mining techniques have gained popularity for the …