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Articles 32941 - 32970 of 294589
Full-Text Articles in Physical Sciences and Mathematics
125, Scott Brande
125, Scott Brande
All 3D Rock Models
Model 125 - peridotite - igneous rock
SketchFab link: https://sketchfab.com/3d-models/125-492cb73d2ecf4ef099673671533e0fb9
127, Scott Brande
127, Scott Brande
All 3D Rock Models
Model 127 - diorite - igneous rock
SketchFab link: https://sketchfab.com/3d-models/127-21c97cc7e71241d7a9f3925165df9a3f
111, Scott Brande
111, Scott Brande
All 3D Rock Models
Model 111 - andesite - igneous rock
SketchFab link: https://sketchfab.com/3d-models/111-510ba461f1d94a729070b0f30ef0b4e6
128, Scott Brande
128, Scott Brande
All 3D Rock Models
Model 128 - gabbro - igneous rock
SketchFab link: https://sketchfab.com/3d-models/128-3bcbedd3249e4254bffa3233a6977a9e
Daal, Scott Brande
Daal, Scott Brande
All 3D Rock Models
Model DAAL - gabbro - igneous rock
SketchFab link: https://sketchfab.com/3d-models/daal-1-71e1bddbca0b486bb085fd1deb471124
124, Scott Brande
124, Scott Brande
All 3D Rock Models
Model 124 - peridotite - igneous rock
SketchFab link: https://sketchfab.com/3d-models/124-f0f053e2206944f888962f46273686d3
132, Scott Brande
132, Scott Brande
All 3D Rock Models
Model 132 - diorite - igneous rock
SketchFab link: https://sketchfab.com/3d-models/132-330f669b9a684e15a96684a20214ca86
134, Scott Brande
134, Scott Brande
All 3D Rock Models
Model 134 - pumice - igneous rock
SketchFab link: https://sketchfab.com/3d-models/134-c3a2828764bd4e74a43dd32520e0cbf5
130, Scott Brande
130, Scott Brande
All 3D Rock Models
Model 130 - pegmatite - igneous rock
SketchFab link: https://sketchfab.com/3d-models/130-a7623f4cc0c54544bf5bd1180391f007
133, Scott Brande
133, Scott Brande
All 3D Rock Models
Model 133 - pumice - igneous rock
SketchFab link: https://sketchfab.com/3d-models/133-ef1923fe77f84ba0917927dd9eb4334f
The Impact Of Dissolved Organic Matter On Photodegradation Rates, Byproduct Formations, And Degradation Pathways For Two Neonicotinoid Insecticides In Simulated River Waters, Josephus F. Borsuah, Tiffany L. Messer, Daniel D. Snow, Steven D. Comfort, Shannon Bartelt-Hunt
The Impact Of Dissolved Organic Matter On Photodegradation Rates, Byproduct Formations, And Degradation Pathways For Two Neonicotinoid Insecticides In Simulated River Waters, Josephus F. Borsuah, Tiffany L. Messer, Daniel D. Snow, Steven D. Comfort, Shannon Bartelt-Hunt
UK CARES Faculty Publications
The influences of dissolved organic matter (DOM) on neonicotinoid photochemical degradation and product formation in natural waters remain unclear, potentially impacting the sustainability of river systems. Therefore, our overall objective was to investigate the photodegradation mechanisms and phototransformation byproducts of two neonicotinoid pesticides, imidacloprid and thiamethoxam, under simulated sunlight at the microcosm scale, to assess the implications of DOM for insecticide degradation in rivers. Direct and indirect photolysis were investigated using twelve water matrices to identify possible reaction pathways with two DOM sources and three quenching agents. Imidacloprid, thiamethoxam, and potential degradants were measured, and reaction pathways identified. The photodegradation …
Flexible Attenuation Fields: Tomographic Reconstruction From Heterogeneous Datasets, Clifford S. Parker
Flexible Attenuation Fields: Tomographic Reconstruction From Heterogeneous Datasets, Clifford S. Parker
Theses and Dissertations--Computer Science
Traditional reconstruction methods for X-ray computed tomography (CT) are highly constrained in the variety of input datasets they admit. Many of the imaging settings -- the incident energy, field-of-view, effective resolution -- remain fixed across projection images, and the only real variance is in the detector's position and orientation with respect to the scene. In contrast, methods for 3D reconstruction of natural scenes are extremely flexible to the geometric and photometric properties of the input datasets, readily accepting and benefiting from images captured under varying lighting conditions, with different cameras, and at disparate points in time and space. Extending CT …
A Breast Cancer Stem Active Cobalt(Iii)-Cyclam Complex Containing Flufenamic Acid With Immunogenic Potential, Jiaxin Fang, Owamagbe N. Orobator, Chibuzor Ngozi Olelewe, Ginevra Passeri, Kuldip Singh, Samuel G. Awuah, Kogularamanan Suntharalingam
A Breast Cancer Stem Active Cobalt(Iii)-Cyclam Complex Containing Flufenamic Acid With Immunogenic Potential, Jiaxin Fang, Owamagbe N. Orobator, Chibuzor Ngozi Olelewe, Ginevra Passeri, Kuldip Singh, Samuel G. Awuah, Kogularamanan Suntharalingam
Chemistry Faculty Publications
The cytotoxic and immunogenic-activating properties of a cobalt(III)-cyclam complex bearing the non-steroidal anti-inflammatory drug, flufenamic acid is reported within the context of anti-cancer stem cell (CSC) drug discovery. The cobalt(III)-cyclam complex 1 displays sub-micromolar potency towards breast CSCs grown in monolayers, 24-fold and 31-fold greater than salinomycin (an established anti-breast CSC agent) and cisplatin (an anticancer metallopharmaceutical), respectively. Strikingly, the cobalt(III)-cyclam complex 1 is 69-fold and 50-fold more potent than salinomycin and cisplatin towards three-dimensionally cultured breast CSC mammospheres. Mechanistic studies reveal that 1 induces DNA damage, inhibits cyclooxygenase-2 expression, and prompts caspase-dependent apoptosis. Breast CSCs treated with 1 exhibit …
A 3-Step, Open-Data, Ride-Hailing Ridership Model With Pricing Applications, Richard A. Mucci
A 3-Step, Open-Data, Ride-Hailing Ridership Model With Pricing Applications, Richard A. Mucci
Theses and Dissertations--Civil Engineering
Researchers and practitioners studied the effects ride-hailing had in cities before the covid-19 pandemic. Previous research found ride-hailing to produce negative externalities, such as reducing transit ridership and increasing congestion in various cities. Since the pandemic, ride-hailing ridership has nearly recovered to pre-pandemic levels in Chicago. Ride-hailing ridership has grown steadily since the pandemic while a rider’s willingness to share their trip stagnated. Ride-hailing ridership nearly recovering to pre-covid levels in Chicago suggests that transportation planners, and policy makers, will need to continue assessing the impacts ride-hailing trips have in their cities.
Pickup and drop off locations in the Chicago …
On Weyl Representations Of Gl(N), Amairani Hernandez Garcia
On Weyl Representations Of Gl(N), Amairani Hernandez Garcia
Mathematics Dissertations - Archive
This thesis studies generalized Laurent polynomial representations of the general linear Lie algebra. These representations arise naturally as representations over the Weyl algebra consisting of differential operators on $\mathbb{C}^n$. Our main result is an explicit description of the socle filtration of $P_{\mu} = \Span \{x^{\bf m} \: | \: {\bf m} \in \mathbb Z^{n}, \: | \bf{m} | \: = \mu \}$ for $\mu \in \mathbb{Z}$.
Integrable Evolution Equations, Ramesh C. Sharma
Integrable Evolution Equations, Ramesh C. Sharma
Mathematics Dissertations - Archive
Integrable evolution equations are certain nonlinear partial differential equations or semidiscrete nonlinear difference equations that are used to model wave propagation in various media. The goal of this thesis is to present the derivation of integrable evolution equations in a way accessible to nonexperts in the field of integrable systems and to illustrate those derivations by various explicit examples. In the case of nonlinear partial differential equations, both the spacial variable x and temporal variable t are continuous independent variables. In the case of semidiscrete nonlinear difference equations, the spacial variable n is a discrete independent variable and the temporal …
Unusual Eluents, Small Systems, And Digital Signal Processing For Highly Efficient Greener Separations, Troy T. Handlovic
Unusual Eluents, Small Systems, And Digital Signal Processing For Highly Efficient Greener Separations, Troy T. Handlovic
Chemistry & Biochemistry Dissertations - Archive
Separation science is a rapidly evolving field, where routine analyses are now done at speeds and efficiencies not thought to be possible several years ago. The tangential field of green analytical chemistry is evolving at an even faster rate and can be considered to be in its infancy stage. As green analytical chemistry is better understood, the greenness of a method will be considered during standard method development just as resolution, sensitivity, and efficiency are considered now. The first portion of this dissertation focuses on the development of mathematical and pragmatic methods to minimize the analytical method greenness score, and …
Investigating Converted Phases In The Midland Basin, Texas, Using Synthetic Seismograms, Julia Rosenblit
Investigating Converted Phases In The Midland Basin, Texas, Using Synthetic Seismograms, Julia Rosenblit
Earth Sciences Theses and Dissertations
Intraplate seismicity in previously aseismic areas within the Permian Basin, Texas, has steadily increased since 2009 (Frohlich et al., 2020). The Midland Basin, the eastern lobe of the Permian, has experienced multiple moderate magnitude earthquakes (M4-6), including the recent 2022 M5.2 Range Hill earthquake. While it is generally accepted that oil and gas development is linked to the seismic activity, and saltwater disposal (SWD) is a significant triggering mechanism in the Midland Basin, understanding the mechanism(s) of shallow (
A Study On The Correlation Between A Star's Rayleigh-Taylor Characteristic Timescale And Stellar Wind Activity, Fiona Klett
A Study On The Correlation Between A Star's Rayleigh-Taylor Characteristic Timescale And Stellar Wind Activity, Fiona Klett
Undergraduate Journal of Mathematical Modeling: One + Two
In this paper, we investigate the correlations between a star's internal dynamics due to the Rayleigh-Taylor instability and episodes of stellar wind activity, using both a theoretical model and observational data from the NOAA.% \cite{NOAA}. Besides its relevance as an astrophysics problem, this study is also informative for models of climate change which include secular perturbations in the Sun's internal dynamics, as a potential source of solar activity variability.
Differential Impacts Of Weather Anomalies On Household Energy Expenditure Shares: A Comparison Of Clustered Panel Analysis Methods, Jordan Champion
Differential Impacts Of Weather Anomalies On Household Energy Expenditure Shares: A Comparison Of Clustered Panel Analysis Methods, Jordan Champion
Theses and Dissertations--Agricultural Economics
Recent emphasis on environmental justice has highlighted deficiencies in our energy system that produce disparities in accessibility and affordability for the most vulnerable. Meanwhile, the realities of a gradually warming climate and the onset of a global energy crisis (IEA 2022) have coincidently contributed to spikes in both energy prices and demand. These implications threaten to further exacerbate existing disparities for income-constrained and vulnerable populations, enhancing their risk of falling into prolonged insecurity. To ensure our transition to a just, sustainable future, we must first ensure equitable access to affordable and reliable energy for everyone. Combining household-level panel and state-level …
Examining The Synergy Of Curcumin And Cisplatin In Osteosarcoma Cells, Ellis Stafford
Examining The Synergy Of Curcumin And Cisplatin In Osteosarcoma Cells, Ellis Stafford
Science University Research Symposium (SURS)
Osteosarcoma is a type of bone cancer that is especially difficult to treat due to its ability to rapidly metastasize, with an average survival rate of 70% if caught before metastasis but 30% after metastasis. The current standard of treatment, if caught before metastasis, is surgery. However, after metastasis, cisplatin is the chemotherapy of choice, which is often ineffective. This study aims to improve treatment strategies by combining a chemotherapy, cisplatin, with curcumin. The supplement used for this study is curcumin, which is a biologically active ingredient in turmeric. Curcumin has shown promising effects in cancer treatment through its ability …
Emotional Cues Pertaining To Social Media Usage Impact On College Students, A'Maya Tatum, April Rico, Elizabeth Ann Godfrey, Scovs Majors
Emotional Cues Pertaining To Social Media Usage Impact On College Students, A'Maya Tatum, April Rico, Elizabeth Ann Godfrey, Scovs Majors
Science University Research Symposium (SURS)
Discussions about the effects of social media continue to grow in recent years, more people have become invested in how our previously exposed perceptions have influenced our perceptions of social media. Priming is the idea that implicit content can explicitly impact our perception of later topics and experiences. Priming has played a major role in how we perceive several aspects of our lives, and social media is no different. In this study, we investigate how priming with positive or negative words related to social media affects the individual’s view of social media and their perceived usage. We hypothesize that there …
Analyzing The Belowground Biomass Of The Camp Wilkes Living Shoreline, Ally Matheny, Wei Wu Dr., Makenzie Holifield
Analyzing The Belowground Biomass Of The Camp Wilkes Living Shoreline, Ally Matheny, Wei Wu Dr., Makenzie Holifield
Science University Research Symposium (SURS)
By utilizing natural materials, living shorelines contribute to coastal resilience. While traditional concrete seawalls stabilize the land and reduce erosion, living shorelines do so too while also providing a variety of species with a place to live, maintaining or enhancing habitats, and improving the quality and flow of water. Living shorelines are made up of naturally occurring materials like plants, sand, shells and rocks. The Camp Wilkes’ Living Shoreline project entails building 150 linear feet of breakwater along Camp Wilkes’ south facing shoreline in the Back Bay of Biloxi, northwest in the city of Biloxi, Mississippi.
Synthesis Of Cu-Cy Nanoparticles For Treating Pfas In Water, Ligang Wang
Synthesis Of Cu-Cy Nanoparticles For Treating Pfas In Water, Ligang Wang
Physics Theses - Archive
This work aims to address the cumulative harm caused by perfluoroalkyl and polyfluoroalkyl substances (PFAS) in water to human health and the ecological environment around the world. Reducing or removing PFAS pollution is an urgent need. Cu-Cy nanoparticles are photosensitizers, which were developed for photodynamic therapy of cancer in the first place. In this work, we use Cu-Cy for the catalytic degradation of PFAS. Synthesis of Cu-Cy nanoparticles in deionized water at 90 degrees Celsius is a low-cost and efficient method. We demonstrated the detailed process of synthesizing Cu-Cy nanoparticles. Under ultraviolet illumination, the synthesized Cu-Cy nanoparticles turned yellow as …
Deep Learning Applications On Ionospheric Studies, Yang Pan
Deep Learning Applications On Ionospheric Studies, Yang Pan
Physics Dissertations - Archive
Machine learning techniques, particularly deep learning techniques, have been vigorously pursued to tackle space physics problems and achieved some impressive results recently. The growth of deep learning technologies in different domains enables innovative solutions to those problems compared to conventional methods. Filling data gaps in instrumental observations is among the demanding issues, which benefits space physicists to study ionospheric phenomena with complete data coverage. Global total electron content (TEC) and regional ionospheric electron density (Ne) are among important physical parameters in ionospheric studies. Due to the limited coverage of global navigation satellite system (GNSS) ground receivers and sporadic …
Next-Generation Alpha Irradiation Platform: Design, Development, And Applications In Radiobiological Research, Harsh Arya
Physics Dissertations - Archive
This dissertation unveils the innovative design, development, and application of a next-generation alpha irradiation platform, specifically crafted for pre-clinical and university-level radiobiological research. Driven by the quest to overcome the inherent limitations of existing alpha particle irradiators, this study explores the profound therapeutic potential of alpha particles in cancer treatment. Known for their exceptional high linear energy transfer (LET), alpha particles exhibit a unique prowess in inducing clustered DNA damage, sparking intriguing possibilities for highly targeted cancer therapies. Yet, their application has been historically constrained by their limited range of biological tissues and the absence of precise delivery systems.
Our …
Cyclistai: A Smartphone Solution For Cyclist Stress Assessment Using Deep Learning, Aairish Singh
Cyclistai: A Smartphone Solution For Cyclist Stress Assessment Using Deep Learning, Aairish Singh
Computer Science and Engineering Theses - Archive
Cycling presents a compelling solution for promoting personal health and environmental well-being, particularly for short-distance travel. Despite its numerous advantages, cycling uptake in the United States remains disproportionately low, primarily due to safety concerns. Traditional frameworks for assessing cyclist stress are hindered by their impracticality and inability to provide real-time evaluations. Self-report surveys and physiological measurements offer alternative approaches but suffer from limitations such as retrospective reporting biases and accessibility challenges, respectively. This thesis introduces CyclistAI, a novel smartphone-based cyclist stress assessment model that leverages context sensing. By combining Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) techniques, CyclistAI …
Manifold Learning In Robotics: A Tutorial And Survey, Marcus Hawkins
Manifold Learning In Robotics: A Tutorial And Survey, Marcus Hawkins
Computer Science and Engineering Theses - Archive
In this article, we hope to represent the current state of the art of manifold learning in an understandable and approachable way. The authors will present a general overview core algorithms associated with linear and nonlinear dimensionality reduction techniques, give rudimentary definitions from differential geometry, and tenets of robotic perception, manipulation and path planning. Some of the historical applications of these algorithms will be presented, as well as conjectures about future uses, through examples from peer-reviewed journals.
When Brain Meets Artificial Intelligence, Lu Zhang
When Brain Meets Artificial Intelligence, Lu Zhang
Computer Science and Engineering Dissertations - Archive
When we review the history of development of artificial intelligence (AI), we will find that brain science plays a pivotal role in fostering breakthroughs in AI, such as artificial neural networks (ANNs). Today, AI has made remarkable strides, particularly with the emergence of large language models (LLMs), surpassing expectations and achieving human-level performance in certain tasks. Nonetheless, an insurmountable gap remains between AI and human intelligence. It is urgent to establish a bridge between brain science and AI, promoting their mutual enhancement and collaborations. This involve establishing connections from brain science to AI (brain-inspired AI), and reversely, from AI to …
Development Of A Collaborative Research Platform For Efficient Data Management And Visualization Of Qubit Control, Devanshu Brahmbhatt
Development Of A Collaborative Research Platform For Efficient Data Management And Visualization Of Qubit Control, Devanshu Brahmbhatt
Computer Science and Engineering Theses - Archive
This thesis introduces QubiCSV, a pioneering open-source platform for quantum computing field. With an emphasis on collaborative research, QubiCSV addresses the critical need for specialized data management and visualization tools in qubit control. The platform is crafted to overcome the challenges posed by the high costs and complexities associated with quantum experimental setups. It emphasizes efficient utilization of resources through shared ideas, data, and implementation strategies. One of the primary obstacles in quantum computing research has been the ineffective management of extensive calibration data and the inability to visualize complex quantum experiment outcomes effectively. QubiCSV fills this gap by offering …