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Articles 17491 - 17520 of 302500
Full-Text Articles in Physical Sciences and Mathematics
Gas-Phase Formation And Spectroscopic Characterization Of The Disubstituted Cyclopropenylidenes C-C3(C2h)2, C-C3(Cn)2, And C-C3(C2h)(Cn), Athena R. Flint, Alexandria G. Watrous, Brent R. Westbrook, Dev J. Patel, Ryan C. Fortenberry
Gas-Phase Formation And Spectroscopic Characterization Of The Disubstituted Cyclopropenylidenes C-C3(C2h)2, C-C3(Cn)2, And C-C3(C2h)(Cn), Athena R. Flint, Alexandria G. Watrous, Brent R. Westbrook, Dev J. Patel, Ryan C. Fortenberry
Faculty and Student Publications
Aims. The detection of c-C3HC2H and possible future detection of c-C3HCN provide new molecules for reaction chemistry in the dense ISM where R-C2 and R-CN species are prevalent. Determination of chemically viable c-C3HC2H and c-C3HCN derivatives and their prominent spectral features can accelerate potential astrophysical detection for this chemical family. This work will characterize three such derivatives: c-C3(C2H)2, c-C3(CN)2, and c-C3(C2H)(CN).
Methods. Interstellar reaction pathways of small carbonaceous species are well-replicated through quantum chemical means. Highly-accurate cc-pVX Z-F12/CCSD(T)-F12 (X =D,T) calculations generate the energetics of chemical formation pathways as well as the basis for quartic force field and …
Artificial Intelligence Mechanisms In Countering Violent Extremism, Ammar Al-Babli
Artificial Intelligence Mechanisms In Countering Violent Extremism, Ammar Al-Babli
Journal of Police and Legal Sciences
The research idea revolves around the mechanisms of artificial intelligence in monitoring and combating extremist groups' dissemination of bad, misleading ideas, destructive ideologies, fake images, and videos, especially those related to terrorism and extremism. Artificial intelligence can be used to confront violent extremism on social media platforms. Social media companies widely use artificial intelligence in their efforts to remove and ban terrorist content from their platforms. The research includes threats arising from cyberspace, such as terrorism, promotion, recruitment, exploitation, and hate speech, to random email, as the ultimate goal of terrorists is to undermine societies and political systems by generating …
Proton, Neutron, And Nuclei Models Without Strong Nuclear Force, Polievkt Perov
Proton, Neutron, And Nuclei Models Without Strong Nuclear Force, Polievkt Perov
College of Arts & Sciences Faculty Works
We show that for the particles that have both a charge and a magnetic moment, combining the electrostatic and the magnetic interactions between particles allows to build a consistent description of nuclear structures made of such particles, without introducing the concept of a strong nuclear force. In the modern nuclear physics, protons and neutrons are described as consisting of quarks, the particles that possess the charge and the spin magnetic moment properties. We show that combining the electrostatic and magnetic forces between quarks in nucleons, it is possible to achieve all the required interactions in the nucleons the strong nuclear …
The Effects Of Salinity And Acetaminophen On The Aquatic Snail Physa Acuta, Michelle Sackey-Ansah, Megan Mackey, Daniel Elias, Jason Doll, Alyssa Brookhart
The Effects Of Salinity And Acetaminophen On The Aquatic Snail Physa Acuta, Michelle Sackey-Ansah, Megan Mackey, Daniel Elias, Jason Doll, Alyssa Brookhart
Journal of the South Carolina Academy of Science
Pharmaceuticals are increasingly detected in water bodies, and their presence can negatively impact aquatic organisms. This effect can be amplified when combined with increasing salinity in freshwater ecosystems. Acetaminophen is a widely used analgesic that is commonly found in river, streams, and waters where it is discharged directly. Therefore, organisms present in these locations (e.g., insects, snails, amphibians, and fish) are likely to be affected by acetaminophen. In this study, we determined the effects of elevated salinity (0.68 g/L), acetaminophen (500 µg/L) and combined elevated salinity (0.68 g/L) and acetaminophen (500 µg/L), on the growth, reproduction, and movement of the …
Data Set For "Atmospheric Aging Of Combustion-Derived Particles: Impact On Stable Free Radical Concentration And Its Ability To Produce Reactive Oxygen Species In Aqueous Media", Brian Majestic, Heather L. Runberg
Data Set For "Atmospheric Aging Of Combustion-Derived Particles: Impact On Stable Free Radical Concentration And Its Ability To Produce Reactive Oxygen Species In Aqueous Media", Brian Majestic, Heather L. Runberg
Chemistry and Biochemistry: Data Sets
Environmentally persistent free radicals (EPFR) are an emerging pollutant found in soot particles. Understanding how these change as they move through the atmosphere is important to human health. Here, soot was generated in the laboratory and exposed to simulated sunlight. The concentrations and characteristics of EPFR in the soot was recorded. Additionally, formation of hydroxyl radical from the photoactivated soot was measured.
Proactive Scientific Forecasting Of Cyber Threats, Mohamed Badrat
Proactive Scientific Forecasting Of Cyber Threats, Mohamed Badrat
Journal of Police and Legal Sciences
The cyber globalization has brought about significant transformations in human life. Despite supporting the goals of sustainable development, contributing to the exchange of ideas and beliefs, blending cultures and knowledge, and promoting the trade of goods and services among different peoples of the world, it poses threats to privacy and reduces security. Unethical behaviors and cyber crimes have been prevalent in this widespread and interconnected world, replacing traditional crimes with electronic ones. With the evolution of globalization and technological advancement, cyber threats undermine all avenues of progress and prosperity.
The study adopted a descriptive-analytical methodology to describe and study the …
Pressure - Temperature Phase Diagram Of Crsite3, J L. Musfeldt, David Mandrus, Zhenxian Liu
Pressure - Temperature Phase Diagram Of Crsite3, J L. Musfeldt, David Mandrus, Zhenxian Liu
Chemistry Publications and Other Works
van der Waals solids are well known to host remarkable phase diagrams with competing phases, unusual energy transfer processes, and elusive states of matter. Among this class of materials, chalcogenides have emerged as the most flexible and relevant platforms for unraveling charge-structure-function relationships. In order to explore the properties of complex chalcogenides under external stimuli, we measured the far infrared spectroscopic response of CrSiTe3 under extreme pressure-temperature conditions. Analysis of the 368 cm−1 Si-Te stretching mode and the manner in which it is screened by the closure of the indirect gap reveals that the insulator-metal transition takes place immediately after …
Bitumen Aging—Laboratory Simulation Methods Used In Practice And Selected Directions Of Research On New Methods, Paweł Czajkowski, Andrzej Przyjazny, Grzegorz Boczkaj
Bitumen Aging—Laboratory Simulation Methods Used In Practice And Selected Directions Of Research On New Methods, Paweł Czajkowski, Andrzej Przyjazny, Grzegorz Boczkaj
Natural Sciences Publications
Changes in the properties of bitumen binders that occur as a result of aging have a huge impact on the durability of products produced from them. In particular, asphalt pavements, which constitute the most common use of petroleum bitumen, are susceptible to damage resulting from the increasing stiffness of the bitumen during its life cycle. Increased stiffness of asphalt pavements reduces the pavement resistance to low-temperature cracks and fatigue cracks, ultimately leading to the loss of their functional properties and the need for road repair. The rate of changes in bitumen properties is influenced by many factors, the most important …
A Deep Learning Based Dual Encoder–Decoder Framework For Anatomical Structure Segmentation In Chest X-Ray Images, Ihsan Ullah, Farman Ali, Babar Shah, Shaker El-Sappagh, Tamer Abuhmed, Sang Hyun Park
A Deep Learning Based Dual Encoder–Decoder Framework For Anatomical Structure Segmentation In Chest X-Ray Images, Ihsan Ullah, Farman Ali, Babar Shah, Shaker El-Sappagh, Tamer Abuhmed, Sang Hyun Park
All Works
Automated multi-organ segmentation plays an essential part in the computer-aided diagnostic (CAD) of chest X-ray fluoroscopy. However, developing a CAD system for the anatomical structure segmentation remains challenging due to several indistinct structures, variations in the anatomical structure shape among different individuals, the presence of medical tools, such as pacemakers and catheters, and various artifacts in the chest radiographic images. In this paper, we propose a robust deep learning segmentation framework for the anatomical structure in chest radiographs that utilizes a dual encoder–decoder convolutional neural network (CNN). The first network in the dual encoder–decoder structure effectively utilizes a pre-trained VGG19 …
Freshwater Algae In Northwest Washington, Volume Iii. Desmids, Part A, Robin A. Matthews
Freshwater Algae In Northwest Washington, Volume Iii. Desmids, Part A, Robin A. Matthews
A Collection of Open Access Books and Monographs
No abstract provided.
The Water, Ji Kim
The Water, Ji Kim
Open Educational Resources
Water is everywhere, thus, we tend to take it for granted. However, access to clean water has been inequitable; climate change is threatening the sea water level, causing the acidification of ocean water. In this project, we will investigate the environmental and social issues related to clean water and its impacts on our life by reading articles, watching videos, and exploring activities.
Data Poisoning: A New Threat To Artificial Intelligence, Nary Simms
Data Poisoning: A New Threat To Artificial Intelligence, Nary Simms
Mathematics and Computer Science Capstones
Artificial Intelligence (AI) adoption is rapidly being deployed in a number of fields, from banking and finance to healthcare, robotics, transportation, military, e-commerce and social networks. Grand View Research estimates that the global AI market was worth 93.5 billion in 2021 and that it will increase at a compound annual growth rate (CAGR) of 38.1% from 2022 to 2030. According to a 2020 MIT Sloan Management survey, 87% of multinational corporations believe that AI technology will provide a competitive edge. Artificial Intelligence relies heavily on datasets to train its models. The more data, the better it learns and predicts. However, …
Numerical Study Of Owls’ Leading-Edge Serrations, Asif Shahriar Nafi
Numerical Study Of Owls’ Leading-Edge Serrations, Asif Shahriar Nafi
Electronic Theses and Dissertations
The silent flight ability of owls is often attributed to their unique wing morphology and its interaction with their wingbeat kinematics. Among these distinctive morphological features, leading-edge serrations stand out – these are rigid, miniature, hook-like patterns located at the leading edge of the primary feathers of their wings. It had been hypothesized that these leading-edge serrations serve as a passive flow control mechanism, influencing the aerodynamic performance and potentially affecting the boundary layer development over the wing, subsequently influencing wake flow dynamics. Despite being the subject of research spanning multiple decades, a consensus regarding the aerodynamic mechanisms underpinning owls’ …
Was Entropy Conserved Between Bbn And Recombination?, A. C. Sobotka, A. L. Erickcek, Tristan L. Smith
Was Entropy Conserved Between Bbn And Recombination?, A. C. Sobotka, A. L. Erickcek, Tristan L. Smith
Physics & Astronomy Faculty Works
We test the assumption of entropy conservation between big bang nucleosynthesis and recombination by considering a massive particle that decays into a mixture of photons and other relativistic species. We employ Planck temperature and polarization anisotropies, COBE/FIRAS spectral distortion bounds, and the observed primordial deuterium abundance to constrain these decay scenarios. If between 56% and 71% of the decaying particle’s energy is transferred to photons, then Neff at recombination is minimally altered, and Planck data alone allows for significant entropy injection. If photons are injected by the decay, the addition of spectral distortion bounds restricts the decay rate of …
Development Of Battery Materials To Function As Corrosion Protection On Car Body Plates, Tubagus Noor Rohmannudin, Sulistijono Sulistijono, Noval Adrinanda, Faridz Wira Dharma, Samuel Areliano
Development Of Battery Materials To Function As Corrosion Protection On Car Body Plates, Tubagus Noor Rohmannudin, Sulistijono Sulistijono, Noval Adrinanda, Faridz Wira Dharma, Samuel Areliano
Journal of Materials Exploration and Findings
Most car bodies made for mass production are made from steel or aluminum. Both are strong metals, but steel is cheaper than aluminum and is more commonly used in lower-end cars for a broader consumer range. The weakness of steel compared to aluminum is that it is susceptible to corrosion under certain conditions, and thus it may deteriorate over time without proper care. To prevent corrosion, modern cars are coated with paint to prevent direct contact with the environment. As a second line of protection, a car battery can be connected to the body to create an impressed current cathodic …
Potential Of Biduri Fiber (Calotropis Gigantea) As Material For Oil Spill Absorbent, Anne Sukmawati, Wulan Septiani
Potential Of Biduri Fiber (Calotropis Gigantea) As Material For Oil Spill Absorbent, Anne Sukmawati, Wulan Septiani
Journal of Materials Exploration and Findings
Biduri fiber (Calotropis gigantea) is a natural hollow fiber with hydrophobic and oleophilic properties potentially used as oil spilled sorbent from seawater. This study aims to determine the absorption capacity and efficiency of the Biduri fiber and membrane to fuel oil. Measurement of oil absorption to seawater was carried out at various fiber weights (0.5-1.5 g), fiber composition (50-95%), contact time (10-90 minutes), temperature (30 and 50°C), and compared with commercial products. The results showed that the fiber weight variation of 0.5-1.5 g has an average absorption efficiency of 96.67%, and the highest absorption was obtained in a weight of …
Nearby Galaxies: Modelling Star Formation Histories And Contamination By Unresolved Background Galaxies, Hadi Papei
Nearby Galaxies: Modelling Star Formation Histories And Contamination By Unresolved Background Galaxies, Hadi Papei
Electronic Thesis and Dissertation Repository
Galaxies are complex systems of stars, gas, dust, and dark matter which evolve over billions of years, and one of the main goals of astrophysics is to understand how these complex systems form and change. Measuring the star formation history of nearby galaxies, in which thousands of stars can be resolved individually, has provided us with a clear picture of their evolutionary history and the evolution of galaxies in general.
In this work, we have developed the first public Python package, SFHPy, to measure star formation histories of nearby galaxies using their colour-magnitude diagrams. In this algorithm, an observed colour-magnitude …
Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Ramsay Elementary School, Environmental Resource Management (Erm)
Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Ramsay Elementary School, Environmental Resource Management (Erm)
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
The View From Ventress - 2021-22 Academic Year, University Of Mississippi, College Of Liberal Arts
The View From Ventress - 2021-22 Academic Year, University Of Mississippi, College Of Liberal Arts
Liberal Arts Newsletters
News from the College of Liberal Arts
Characteristics Of Anglers And Angling Preferences In Utah: Results From The 2021-2022 Utah Angler Survey, Jordan Smith, Chase C. Lamborn, Will Rempel, Zachary D. Miller
Characteristics Of Anglers And Angling Preferences In Utah: Results From The 2021-2022 Utah Angler Survey, Jordan Smith, Chase C. Lamborn, Will Rempel, Zachary D. Miller
Environment and Society Faculty Publications
In the face of a diminishing resource base and increased demand from anglers, the state of Utah is looking for biologically feasible, economical, and publicly supported solutions to address the angling supply and demand mismatch. Using data from an extensive year-long survey effort, the report details information about the characteristics, behaviors, and preferences of Utah’s licensed. The report also details the types of motivations that are fundamental to the Utah fishing experience. The findings show anglers can be classified by their motivations into five relatively distinct groups – Explorers, Social Anglers, Catch Focused Anglers, Ambivalent Anglers, …
In-Plane Ferroelectric Tunnel Junctions Based On 2d Α-In2Se3/ Semiconductor Heterostructures, Zifang Liu, Pengfei Hou, Lizhong Sun, Evgeny Y. Tsymbal, Jie Jiang, Qiong Yang
In-Plane Ferroelectric Tunnel Junctions Based On 2d Α-In2Se3/ Semiconductor Heterostructures, Zifang Liu, Pengfei Hou, Lizhong Sun, Evgeny Y. Tsymbal, Jie Jiang, Qiong Yang
Department of Physics and Astronomy: Faculty Publications
Ferroelectric tunnel junctions (FTJs) have great potential for application in high-density non-volatile memories. Recently, α-In2Se3 was found to exhibit robust in-plane and out-of-plane ferroelectric polarizations at a monolayer thickness, which is ideal to serve as a ferroelectric component in miniaturized electronic devices. In this work, we design two-dimensional van der Waals heterostructures composed of an α-In2Se3 ferroelectric and a hexagonal IV–VI semiconductor and propose an in-plane FTJ based on these heterostructures. Our first-principles calculations show that the electronic band structure of the designed heterostructures can be switched between insulating and metallic states by ferroelectric …
Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Margaret Leary Elementary School, Environmental Resource Management (Erm)
Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Margaret Leary Elementary School, Environmental Resource Management (Erm)
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Butte Central Elementary And Middle School, Environmental Resource Management (Erm)
Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Butte Central Elementary And Middle School, Environmental Resource Management (Erm)
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Butte High School, Environmental Protection Agency
Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Butte High School, Environmental Protection Agency
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Monroe Head Start Preschool, Environmental Resource Management (Erm)
Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Monroe Head Start Preschool, Environmental Resource Management (Erm)
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Ramsay Elementary School, Environmental Resource Management (Erm)
Residential Metals Abatement Program Investigation Summary Report (Non-Residential Parcels – Indoor Dust) Ramsay Elementary School, Environmental Resource Management (Erm)
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Pythagorean Vectors And Rational Orthonormal Matrices, Aishat Olagunju
Pythagorean Vectors And Rational Orthonormal Matrices, Aishat Olagunju
Electronic Thesis and Dissertation Repository
A Pythagorean vector is an integer vector having an integer 2-norm. Such vectors are closely related to Pythagorean n-tuples, since n-tuples are the building blocks for Pythagorean vectors. Pythagorean vectors are, in their turn, the building blocks for rational orthonormal matrices. The work in this thesis has a pedagogical application to the QR decomposition of matrices, widely used in Linear Algebra. A barrier for students learning the details of the QR decomposition of a given matrix A is the occurrence of square-roots that cannot be simplified during the application of the two standard algorithms, namely the Gram--Schmidt method and Householder …
A Predictive Model For Diabetes Mellitus Using Machine Learning Techniques (A Study In Nigeria), Abraham Eseoghene Evwiekpaefe, Nafisat Abdulkadir
A Predictive Model For Diabetes Mellitus Using Machine Learning Techniques (A Study In Nigeria), Abraham Eseoghene Evwiekpaefe, Nafisat Abdulkadir
The African Journal of Information Systems
Diabetes Mellitus (DM) is a metabolic disorder that occurs when the blood sugar level in the body is considered to be high, thereby resulting in inadequate insulin in the body leading to a myriad complications. The World Health Organization in 2021 indicated that in 2019, diabetes was the direct cause of 1.5 million deaths. Though some research has been carried out in the area of DM prediction in high-income countries, not much has been done in middle/low-income countries like Nigeria, using factors that are peculiar to their environment. This paper, therefore, aims to develop a machine learning model that predicts …
Insights From The Management Of Offshore Energy Resources: Toward An Ecosystem-Services Based Management Approach For Deep-Ocean Industries, M. Emilia Bravo, Miriam I. Brandt, Jesse M. A. Van Der Grient, Thomas G. Dahlgren, Patricia Esquete, Sabine Gollner, Daniel O. B. Jones, Lisa A. Levin, Craig R. Mcclain, Bhavani E. Narayanaswamy, Tracey Sutton, Lissette Victorero, Erik E. Cordes
Insights From The Management Of Offshore Energy Resources: Toward An Ecosystem-Services Based Management Approach For Deep-Ocean Industries, M. Emilia Bravo, Miriam I. Brandt, Jesse M. A. Van Der Grient, Thomas G. Dahlgren, Patricia Esquete, Sabine Gollner, Daniel O. B. Jones, Lisa A. Levin, Craig R. Mcclain, Bhavani E. Narayanaswamy, Tracey Sutton, Lissette Victorero, Erik E. Cordes
Marine & Environmental Sciences Faculty Articles
The deep ocean comprises complex ecosystems made up of numerous community and habitat types that provide multiple services that benefit humans. As the industrialization of the deep sea proceeds, a standardized and robust set of methods and metrics need to be developed to monitor the baseline conditions and any anthropogenic and climate change-related impacts on biodiversity, ecosystem function, and ecosystem services. Here, we review what we have learned from studies involving offshore-energy industries, including state-of-the-art technologies and strategies for obtaining reliable metrics of deep-sea biodiversity and ecosystem function. An approach that includes the detection and monitoring of ecosystem services, with …