Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (3780)
- Life Sciences (3487)
- Earth Sciences (3173)
- Environmental Sciences (2418)
- Engineering (2406)
-
- Plant Sciences (2083)
- Soil Science (2023)
- Agronomy and Crop Sciences (1966)
- Agricultural Science (1958)
- Plant Biology (1906)
- Weed Science (1905)
- Plant Pathology (1888)
- Artificial Intelligence and Robotics (1457)
- Chemistry (1365)
- Social and Behavioral Sciences (1231)
- Physics (1190)
- Medicine and Health Sciences (1107)
- Mathematics (1097)
- Statistics and Probability (791)
- Sustainability (680)
- Education (611)
- Data Science (607)
- Environmental Monitoring (575)
- Computer Engineering (533)
- Oceanography and Atmospheric Sciences and Meteorology (531)
- Natural Resources and Conservation (507)
- Environmental Indicators and Impact Assessment (503)
- Natural Resources Management and Policy (455)
- Applied Mathematics (450)
- Institution
-
- University of Kentucky (2065)
- Singapore Management University (683)
- University of Nebraska - Lincoln (469)
- Old Dominion University (442)
- Montana Tech Library (324)
-
- Missouri University of Science and Technology (318)
- Utah State University (311)
- University of Texas Rio Grande Valley (280)
- Chulalongkorn University (259)
- University of Arkansas, Fayetteville (259)
- China Simulation Federation (242)
- China Coal Technology and Engineering Group (CCTEG) (231)
- Chinese Academy of Sciences (226)
- TÜBİTAK (202)
- Portland State University (193)
- Changsha University of Science and Technology (191)
- Kennesaw State University (186)
- Chapman University (179)
- The Texas Medical Center Library (177)
- University of South Florida (164)
- City University of New York (CUNY) (143)
- Michigan Technological University (139)
- University of New Mexico (138)
- Edith Cowan University (132)
- University of South Carolina (124)
- Claremont Colleges (123)
- University of Alabama at Birmingham (123)
- University of Texas at El Paso (121)
- Clemson University (115)
- Neutrosophic Systems with Applications (112)
- Keyword
-
- Machine learning (289)
- Artificial intelligence (218)
- Climate change (155)
- Deep learning (150)
- Machine Learning (140)
-
- Grazing (137)
- Geology (133)
- Artificial Intelligence (121)
- Rock (118)
- 3d model (116)
- Humans (115)
- Sustainability (98)
- Deep Learning (81)
- Trifolium repens (72)
- Cybersecurity (68)
- Sheep (68)
- AI (63)
- Generative AI (60)
- Cattle (58)
- Technical Reports (58)
- UTEP Computer Science Department (58)
- Climate (57)
- Mathematics (56)
- Weather (56)
- Lolium perenne (54)
- Nitrogen (54)
- Computer Science (52)
- Groundwater (50)
- Metals Abatement (49)
- Natural language processing (48)
- Publication
-
- IGC Proceedings (1977-2023) (1881)
- Research Collection School Of Computing and Information Systems (585)
- Theses and Dissertations (391)
- Silver Bow Creek/Butte Area Superfund Site (321)
- Journal of System Simulation (242)
-
- Coal Geology & Exploration (231)
- Bulletin of Chinese Academy of Sciences (Chinese Version) (226)
- Chulalongkorn University Theses and Dissertations (Chula ETD) (199)
- Journal of China & Foreign Highway (191)
- Faculty, Staff and Student Publications (167)
- Electronic Theses and Dissertations (136)
- C-Day Computing Showcase (131)
- Research outputs 2022 to 2026 (127)
- Faculty Publications (126)
- USF Tampa Graduate Theses and Dissertations (123)
- All 3D Rock Models (116)
- Neutrosophic Systems with Applications (112)
- School of Natural Resources: Faculty Publications (110)
- Michigan Tech Publications (100)
- Faculty Scholarship (90)
- All Works (89)
- School of Mathematical & Statistical Sciences Faculty Publications (89)
- United States Department of Agriculture Wildlife Services: Staff Publications (89)
- Master's Theses (86)
- Journal of Engineering Research (83)
- Branch Mathematics and Statistics Faculty and Staff Publications (82)
- Computer Science Faculty Research & Creative Works (81)
- Dissertations (78)
- Mathematics, Physics, and Computer Science Faculty Articles and Research (75)
- Dissertations, Theses, and Capstone Projects (71)
- Publication Type
Articles 571 - 600 of 14121
Full-Text Articles in Physical Sciences and Mathematics
2024 December - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University
2024 December - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University
Tennessee Climate Office Monthly Reports
Hi All,
December was relatively warm and wet for West Tennessee, while areas further east were closer to average. The main weather and climate stories of December 2024 included the strong blast of cold air early in the month that led to widespread light snowfall and record cold temperatures from December 3-6, and two cold fronts that brought strong thunderstorms, localized flash flooding, some small hail, and strong winds to the state on December 18 and December 28-29. Heavy rains on the 29th led to flash flooding and closure of roads and temporary bridges in parts of Carter County that …
Magnetic Nano And Micro Rods As Tools For Characterizing Materials Mechanical Properties: Fundamentals And Applications, Artis Brasovs
Magnetic Nano And Micro Rods As Tools For Characterizing Materials Mechanical Properties: Fundamentals And Applications, Artis Brasovs
All Dissertations
The focus of this dissertation is insect blood (Hemolymph). Hemolymph is analyzed by taking a materials science approach. Rheological characterization of hemolymph has been performed for the first time. Owing to a minute amount of available material, a new protocol was established where Magnetic Rotational Spectroscopy (MRS) with ferromagnetic nanorods was employed. The challenge was examining the microliter droplets' viscosity in less than a few minutes. This challenge was successfully resolved.
Blood is critical for the insect's survival: after wounding, the insect has to seal the wound quickly, in a few minutes. As the mechanism of fast clotting has never …
Computational Representation, Analysis And Verification Of Requirements In Engineering Design And Systems Engineering, Chandan Kumar Sahu
Computational Representation, Analysis And Verification Of Requirements In Engineering Design And Systems Engineering, Chandan Kumar Sahu
All Dissertations
Systems are developed to satisfy a set of requirements derived from stakeholders’ needs, defining the problem space for which the system is created as a feasible solution. The system design process begins with eliciting these requirements and concludes with validating whether the created system meets them. Requirements engineering (RE) encompasses elicitation, representation, analysis, documentation, verification, and validation. However, challenges in RE, such as imprecision in natural language (NL), proprietary restrictions, and a lack of standardized quality metrics, hinder the creation of well-formed and comprehensive requirements. These challenges complicate formalization and analysis of requirements.
This dissertation addresses these challenges by proposing …
Selective Hydroxyl Functionalization Using Novel Bifunctional Macrocyclic Catalysts And Sufex-Based Methodologies, Austin Seilkop
Selective Hydroxyl Functionalization Using Novel Bifunctional Macrocyclic Catalysts And Sufex-Based Methodologies, Austin Seilkop
All Dissertations
The research behind this dissertation explores innovative strategies for the functionalization of alcohols. Alcohols are abundant in biologically relevant molecules and pharmaceutical drugs, so designing new methods for modifying them has gained significant interest over the years. The first and second chapters of this dissertation focus on the selective functionalization of a particular class of alcohols, amino alcohols, a well-represented functional handle in biomolecules. The hydroxyl functionalization of amino alcohols often demands multiple synthetic steps. We developed a new class of macrocyclic catalysts to enable precise and efficient transformations of amino alcohols, advancing the scope and efficiency of amino alcohol …
Protocol Transformations Across Osi Network Stack Layers For Attack, Evasion, And Defense, Nathan Tusing
Protocol Transformations Across Osi Network Stack Layers For Attack, Evasion, And Defense, Nathan Tusing
All Dissertations
Network endpoints frequently contend with errors and deviations within protocols. Many factors account for these deviations including noise, tampering, and algorithm implementations. Intermediate nodes are expected to modify instantiated protocols and not guarantee correctness. This ability to modify traffic enables all sides of network security to alter security and performance properties of protocols, and we define this intermediary modification of an instantiated protocol as a transformation. Protocol transformations traverse layers of the OSI reference model and changes a protocol's time series byte sequence. Within this thesis, we show that this framework applies to multiple domains and protocols. Common examples of …
Leveraging High-Frequency Water Quality Data And Machine Learning For Monitoring Harmful Algal Blooms, Ibrahim Busari
Leveraging High-Frequency Water Quality Data And Machine Learning For Monitoring Harmful Algal Blooms, Ibrahim Busari
All Dissertations
Freshwater management is one of the most critical resources on the earth due to the plethora of water use and its limited availability. Increased algae proliferation is one of the significant problems of freshwater bodies that is triggered by nutrient enrichment and enabling conditions such as light and warm temperatures. This algal proliferation is toxic to the ecosystem through their biomass and potential toxin production that can cause hypoxic conditions and is often referred to as Harmful Algal Blooms (HABs). Current monitoring approaches include laboratory analysis of water samples to observe algal cells, monitoring of water quality parameters using water …
Supporting Holistic, Informed, Decision-Making Through The Complementarity Of Life Cycle Assessment And Radiological Protection, Bryanna Wattier-Weisensee
Supporting Holistic, Informed, Decision-Making Through The Complementarity Of Life Cycle Assessment And Radiological Protection, Bryanna Wattier-Weisensee
All Dissertations
Decision making is challenging and it is necessary to consider all relevant data to make an informed decision. The work herein provides a pathway wherein the fields of radiological protection and life cycle assessment (LCA) can be utilized synergistically to benefit the decision-making using the other (and vice versa). Specifically, LCA parallels decision-aiding techniques used in the optimization of radiological protection and LCA includes an ionizing radiation potential (IRP) impact category wherein the impacts associated with an emission of radioactive material is quantified to determine the human health impact. Thus this body of work focuses on (1) expanding the platform …
Hydrothermal Synthesis, Characterisation, And Magnetic Study Of First-Row Transition Metal Molybdates And First-Row Transition Metal Vanadates, Mahsa Foroughian Foroughian
Hydrothermal Synthesis, Characterisation, And Magnetic Study Of First-Row Transition Metal Molybdates And First-Row Transition Metal Vanadates, Mahsa Foroughian Foroughian
All Dissertations
Growing high-quality single crystals of transitional metal oxides have been of interest over the last two centuries because of the many applications of these transparent materials in various industries, such as optics, magnetism, semiconductors, and batteries. During this period, a variety of crystal growth techniques have been utilized, each offering unique advantages and disadvantages to the solid-state community.
Traditionally, metal oxides such as molybdates and vanadates are produced using high-temperature techniques (700 to 1200 °C). These methods can cause oxygen to be expelled, resulting in the creation of lattice defects and lower-valence metal ions and complicate precise measurements of physical …
Andre-Quillen Homology And Special Classes Of Ring Homomorphisms, Hossein Faridian
Andre-Quillen Homology And Special Classes Of Ring Homomorphisms, Hossein Faridian
All Dissertations
This thesis is comprised of three chapters. The first chapter deals with a purely algebraic proof of a deep result of Quillen stating that the category of simplicial commutative algebras over a commutative ring is a model category. The central focus of our approach is on the study of shuffle product of connective chain complexes that provides a bridge to translate the constructions in the simplicial algebra world to the chain complex world.
The second chapter delves into Quillen's fundamental spectral sequences that relate Andre-Quillen homology and cohomology to Tor and Ext functors. Our comprehensive treatment develops and streamlines the …
Biogeochemical Controls Of Cesium-137 Migration In Surface Waters And Near Surface Sediments At The Usdoe Savannah River Site, Reid Williams
Biogeochemical Controls Of Cesium-137 Migration In Surface Waters And Near Surface Sediments At The Usdoe Savannah River Site, Reid Williams
All Dissertations
Considerable concentrations of cesium-137 (137Cs) and other anthropogenic radionuclides have been released into the environment at the Savannah River Site (SRS). Additionally, cesium-containing radioactive waste will be stored onsite for the foreseeable future. Therefore, the goal of this work was to identify mechanisms controlling cesium transport in surface waters and near surface sediments at SRS to further the understanding of 137Cs migration in the vadose zone and reservoirs. It was hypothesized that a multitude of factors impact the mobility of 137Cs at the SRS, but that the clay sediment fraction provides an important contribution in limiting …
Recyclable Composites Prepared From Animal Coproducts And Industrial Waste Sulfur, Perla Y. Sauceda-Oloño
Recyclable Composites Prepared From Animal Coproducts And Industrial Waste Sulfur, Perla Y. Sauceda-Oloño
All Dissertations
Pursuing sustainable and environmentally friendly materials has become a significant objective in materials science, particularly flame retardants and construction materials. This dissertation explores the development and evaluation of novel composites and high sulfur-content materials (HSMs) as potential alternatives to conventional, environmentally harmful materials.
Chapter one reviews recent advancements in environmentally benign flame-retardant additives, highlighting the potential of bio-derived phenols, polysaccharide derivatives, and greener phosphorus sources. The review discusses how green additives can enhance the flame retardancy, thermal stability, and smoke suppression properties of various polymers while addressing the challenges and future directions in the field.
Chapter two investigates the production …
Concert Tickets, Party Matching, Sleeping Barbers, And Single Lane Bridges: Characterizing Student Reasoning About Concurrency, Aubrey Lawson
Concert Tickets, Party Matching, Sleeping Barbers, And Single Lane Bridges: Characterizing Student Reasoning About Concurrency, Aubrey Lawson
All Dissertations
Programming with concurrency is challenging both to learn and to teach. A concurrent program has multiple computations happening “at the same time” either simultaneously or in an interleaved manner. It is non-deterministic, imposing only a partial ordering on its decomposed parts. Advantages of concurrency include the potential for increased program throughput, high responsiveness and reduced complexity of program structure. But a concurrent program can be more complex to reason about than a sequential program, in part because the conditions of correctness must hold for all possible execution sequences and also because programmers must implement and reason about synchronization constructs that …
A Hybrid Feox/Coox/Pt Ternary Nanocatalyst For Augmented Catalysis Of Formic Acid Electro-Oxidation, Ahmad M. Mohammad, Bilquis Ali Al-Qodami, Islam M. Al-Akraa, Nageh K. Allam, Hafsa H. Alalawy
A Hybrid Feox/Coox/Pt Ternary Nanocatalyst For Augmented Catalysis Of Formic Acid Electro-Oxidation, Ahmad M. Mohammad, Bilquis Ali Al-Qodami, Islam M. Al-Akraa, Nageh K. Allam, Hafsa H. Alalawy
Faculty Journal Articles
Platinum-based catalysts that have long been used as the anodes for the formic acid electro-oxidation (FAO) in the direct formic acid fuel cells (DFAFCs) were susceptible to retrogradation in performance due to CO poisoning that impaired the technology transfer in industry. This work is designed to overcome this challenge by amending the Pt surface sequentially with nanosized cobalt (nano-CoOx, fibril texture of ca. 200 nm in particle size) and iron (nano-FeOx, nanorods of particle size and length of 80 and 253 nm, respectively) oxides. This enriched the Pt surface with oxygenated groups that boosted FAO and mitigated the CO poisoning. …
Comparison Of Autoclaving And Γ-Radiation Impact On Four Spices Aroma Profiles And Microbial Load Using Hs-Spme Gc–Ms And Chemometric Tools, Mostafa H. Baky, Nora M. Elkenawy, Heba A.S. El-Nashar, Bishoy Abib, Mohamed A. Farag
Comparison Of Autoclaving And Γ-Radiation Impact On Four Spices Aroma Profiles And Microbial Load Using Hs-Spme Gc–Ms And Chemometric Tools, Mostafa H. Baky, Nora M. Elkenawy, Heba A.S. El-Nashar, Bishoy Abib, Mohamed A. Farag
Faculty Journal Articles
Herbal spices are widely consumed as food additives owing to their distinct aroma and taste as well as a myriad of economic and health value. The aroma profile of four major spices including bay leaf, black pepper, capsicum, and fennel was tested using HS-SPME/GC–MS and in response to the most widely used spices´ processing methods including autoclaving and γ-radiation at low and high doses. Additionally, the impact of processing on microbial contamination of spices was tested using total aerobic count. GC–MS analysis led to the identification of 22 volatiles in bay leaf, 34 in black pepper, 23 in capsicum, and …
Co2 Capture Utilizing Novel Deep Eutectic Solvents: Modeling, Process Simulation, And Cost Analysis, Nazneen Aspi Kolah
Co2 Capture Utilizing Novel Deep Eutectic Solvents: Modeling, Process Simulation, And Cost Analysis, Nazneen Aspi Kolah
Masters Theses
One of the most pressing global issues that humans face is climate change caused by anthropogenic greenhouse gas emissions, especially carbon dioxide (CO2). Conventional solvents utilized for CO₂ capture, such as amines, are widely used in industrial applications due to their high CO2 absorption capacity. However, deep eutectic solvents (DES) have attracted a lot of academic attention recently due to their biodegradability and low energy for regeneration.
This research serves as a foundational proof-of-concept for using DESs in industrial gas separation processes. Five DES are evaluated for CO2 removal from flue gases. Aspen Plus is utilized to simulate the performance …
(R2093) Fixed Point Of Hybrid Jaggi-Meir-Keeler Type Multivalued Contraction, Sirajo Yahaya, Mohammed Shehu Shagari
(R2093) Fixed Point Of Hybrid Jaggi-Meir-Keeler Type Multivalued Contraction, Sirajo Yahaya, Mohammed Shehu Shagari
Applications and Applied Mathematics: An International Journal (AAM)
One of the most applicable results in metric fixed point theory is based on the contractive inequalities, including both rational and non-rational types. In this manuscript, a general idea under the name Jaggi-Meir-Keeler hybrid type multivalued contraction is introduced. We investigate the existence of fixed points for such operators in the setting of a complete metric space. The presented concept herein unifies the above-mentioned contractions and the corresponding invariant point results. A comparative nontrivial example is constructed to show the connection between the main idea in this paper and the related literature.
An Analysis Of Policies, Practices, And Barriers To Create A Multi-Dimensional Approach To Renewable Energy Transition For Us Communities, Hanan Wehbi
Graduate Theses and Dissertations
The transition from fossil fuel-derived energy resources to clean, renewable, affordable, and reliable energy necessitates a comprehensive approach. This approach must incorporate an interdisciplinary contribution to ensure the sustainability, efficiency, and resilience of the energy system. In the United States, many communities and local governments are developing ambitious plans, regulations, and targets to support the renewable energy transition and enhance energy efficiency. This research builds on the principles of sustainable development planning and transition theory to develop a framework that assists communities in planning their renewable energy (RE) transition and integrate these plans in their long- and short-term development approaches. …
Utahns’ Generally Agree On Top Environmental Concerns, But Climate Change And Related Issues Reveal Political Polarization, Sarah E. Wilson, Jessica Ulrich-Schad
Utahns’ Generally Agree On Top Environmental Concerns, But Climate Change And Related Issues Reveal Political Polarization, Sarah E. Wilson, Jessica Ulrich-Schad
Utah People and Environment Poll (UPEP)
Utah is renowned for its unique landscapes and abundant opportunities to connect with the natural environment. However, the state is currently grappling with serious environmental challenges, including poor air quality, dwindling water supplies, and the alarming desiccation of the Great Salt Lake. These and other issues have major ecological and economic implications, and combating them will likely require large scale efforts. However, rising levels of political polarization are a common problem in the United States that many feel stifles our ability to combat societal problems, including those related to the environment and human health.
Video Game Development 3.0: Ai-Driven Collaborative Co-Creation, Jay Ratican, James Hutson
Video Game Development 3.0: Ai-Driven Collaborative Co-Creation, Jay Ratican, James Hutson
Faculty Scholarship
The evolution of game development has transitioned from manual coding (Software 1.0) to data-driven Artificial Intelligence (AI) (Software 2.0), and now to a more advanced stage—video game development 3.0. This phase is characterized by AI-driven processes leveraging large language models (LLMs), neural networks, and other AI techniques that autonomously generate code, content, and narratives. This paper explores the foundational technologies underpinning this paradigm shift, including customizable AI modules, dynamic asset creation, and intelligent non player characters (NPCs) that adapt to player interactions. It also highlights the integration of AI with emerging technologies like Virtual Reality (VR), Augmented Reality (AR), and …
Wide-Angle Non-Uniform Optical Phased Array Using Compact And Efficient Antenna Design, Omar E. Elsheikh, Mohamed A. Swillam
Wide-Angle Non-Uniform Optical Phased Array Using Compact And Efficient Antenna Design, Omar E. Elsheikh, Mohamed A. Swillam
Faculty Journal Articles
In the need for a more compact and efficient optical phased array with a wide steering beam for LIDAR applications, a wide steering array with high resolution is desirable. However, in the published work, a trade-off is often made for one over another. Apodized grating antennas have shown good efficiency with a compact size and wide beam profile, which improve optical phased array beam steering capability and are also compatible with the CMOS silicon photonics process. A promising studies shows enhancement in steering range with good resolution utilizing a non-uniform optical phased array. In this work, we present two highly …
Deep Learning Approach For Accurate Segmentation Of Oil Spills In Marine Systems, Mohamed Elsheref
Deep Learning Approach For Accurate Segmentation Of Oil Spills In Marine Systems, Mohamed Elsheref
LSU New Orleans Theses and Dissertations
Oil spills present critical environmental hazards, threatening marine ecosystems and necessitating fast, accurate detection for effective mitigation. Synthetic Aperture Radar (SAR) imagery has been instrumental in detecting oil spills, but manual interpretation is often inefficient and prone to errors. This study addresses the limitations of manual methods by proposing a deep learning approach for automated oil spill detection and segmentation.
Utilizing a novel transfer learning-based semantic segmentation model, this research focuses on detecting oil slicks on the sea surface with higher accuracy and efficiency. The model leverages pre-trained networks and incorporates U-Net variants, including UNet++ and MultiResUNet, to optimize spatial …
Enhancing Password Security And Memorability Using Machine Learning And Linguistic Patterns, Jared Wise
Enhancing Password Security And Memorability Using Machine Learning And Linguistic Patterns, Jared Wise
LSU New Orleans Theses and Dissertations
In the digital age, text-based passwords remain a primary method for securing online accounts. Yet, users frequently face a dilemma between creating passwords that are easy to remember and sufficiently secure against cyberattacks. This research introduces an approach to password generation that bridges this gap by utilizing linguistic patterns, particularly song lyrics, to develop highly secure and naturally memorable passwords. Using large lyric datasets gained from web scrapes from popular song lyric websites (AZ Lyrics, Genius), features are extracted from a corpus of over 5 million lyrics using sentence structure and natural language processing in a novel way. In using …
New Constraints On The Stratigraphic Architecture And Evolution Of Mississippi River Delta Lobe Activity: Barataria Basin, Southeastern La, Wilke Coleman
LSU New Orleans Theses and Dissertations
Barataria Basin is a shallow water, interdistributary estuary that has evolved in response to dynamic depositional regimes governed by distributary avulsion and reworking of sediments by coastal processes. In the Mississippi River delta plain, the migratory nature of the River has produced an evolving landscape constructed through episodes of regressive and transgressive sedimentation. These processes produce unique depositional signatures in the stratigraphic record, however the transgressive component of the delta cycle often results in obliteration of the regressive phase. This study uses a modern suite of geophysical and sediment core data to construct a revised geologic framework in Barataria Basin, …
A Graph Motif Adversarial Attack For Fault Detection In Power Distribution Systems, Dibaloke Chanda, Nasim Yahyasoltani
A Graph Motif Adversarial Attack For Fault Detection In Power Distribution Systems, Dibaloke Chanda, Nasim Yahyasoltani
Computer Science Faculty Research and Publications
Fault detection is an integral part of the protection system in a power distribution network. Due to advanced computational capabilities, deep learning-based algorithms can significantly outperform traditional methods. However, these deep learning models are prone to adversarial attacks which are not well-addressed as traditional cyber attacks in distribution systems. More specifically, to capture the structure of distribution systems, graph neural networks (GNNs) are employed. Leveraging the backdoor attack model, we propose a novel graph-based adversarial attack algorithm for fault detection in power systems. It is further shown that the adaptable structure of GNN can make them vulnerable to adversarial attacks …
Equitable Community-Based Participatory Research Engagement With Communities Of Color Drives All Of Us Wisconsin Genomic Research Priorities, Sheikh Iqbal Ahamed, Praveen Madiraju
Equitable Community-Based Participatory Research Engagement With Communities Of Color Drives All Of Us Wisconsin Genomic Research Priorities, Sheikh Iqbal Ahamed, Praveen Madiraju
Computer Science Faculty Research and Publications
Objective
The NIH All of Us Research Program aims to advance personalized medicine by not only linking patient records, surveys, and genomic data but also engaging with participants, particularly from groups traditionally underrepresented in biomedical research (UBR). This study details how the dialogue between scientists and community members, including many from communities of color, shaped local research priorities.
Materials and Methods
We recruited area quantitative, basic, and clinical scientists as well as community members from our Community and Participant Advisory Boards with a predetermined interest in All of Us research as members of a Special Interest Group (SIG). An expert …
Phantom Jam Sybil Attack In Connected Vehicular Networks, Ahmed Ali Elamin Mohamed
Phantom Jam Sybil Attack In Connected Vehicular Networks, Ahmed Ali Elamin Mohamed
Masters Theses and Doctoral Dissertations
Vehicular Ad-hoc Networks (VANETs) are vulnerable to Sybil attacks, mostly due to the lack of encryption in BSMs. In VANETs, multiple digital certificates (pseudonyms) are assigned to each vehicle to ensure their privacy. However, malicious nodes can exploit these pseudonyms to create ghost vehicles, inducing fake traffic jams and disturbance to other vehicles which may lead to accidents. In this work, we have developed the first sophisticated sybil attack, in which an attacker uses legitimate pseudonyms to create multiple ghost vehicles. These ghost vehicles transmit realistic kinematic data, using trajectory formulas and road maps. Additionally, the ghost vehicles randomly simulate …
Environmental Dna Identifies Coastal Plant Community Shift 1,000 Years Ago In Torrens Island, South Australia, Nicole R. Foster, Alice R. Jones, Oscar Serrano, Anna Lafratta, Paul S. Lavery, Kor-Jent Van Dijk, Ed Biffin, Bronwyn M. Gillanders, Jennifer Young, Pere Masque, Patricia S. Gadd, Geraldine E. Jacobsen, Atun Zawadzki, Andria Greene, Michelle Waycott
Environmental Dna Identifies Coastal Plant Community Shift 1,000 Years Ago In Torrens Island, South Australia, Nicole R. Foster, Alice R. Jones, Oscar Serrano, Anna Lafratta, Paul S. Lavery, Kor-Jent Van Dijk, Ed Biffin, Bronwyn M. Gillanders, Jennifer Young, Pere Masque, Patricia S. Gadd, Geraldine E. Jacobsen, Atun Zawadzki, Andria Greene, Michelle Waycott
Research outputs 2022 to 2026
Anthropogenic activities are causing detrimental changes to coastal plants– namely seagrass, mangrove, and tidal marshes. Looking beyond recent times to past vegetation dynamics is critical to assess the response and resilience of an environment to change. Here, we develop a high-resolution multi-proxy approach, providing a new evidence base to decipher long-term change in coastal plant communities. Combining targeted environmental DNA analysis with chemical analysis of soils, we reconstructed 4,000 years of change at a temperate wetland on Torrens Island South Australia and identified an ecosystem shift that occurred ~ 1000 years ago. What was once a subtidal seagrass system shifted …
Lessons Learned From Establishing And Running A Mössbauer Laboratory In Industry, Paulo De Souza
Lessons Learned From Establishing And Running A Mössbauer Laboratory In Industry, Paulo De Souza
Research outputs 2022 to 2026
Mössbauer spectroscopy offers unique capabilities for primary industry sectors such as mining, mineral processing, and steelmaking, as well as in environmental services and advanced manufacturing. However, there are three key limiting factors: the time required to record a single spectrum, the challenges of managing an additional radioactive source on company premises, and the lack of personnel skilled in analysing Mössbauer spectra and understanding its operation. More commonly used techniques such as XRD, SEM, or XRF have technical staff who can interpret data with support from standard libraries and user-friendly software packages. In contrast, Mössbauer spectroscopists, who often hold degrees in …
(Featured Artist) The Aromatic Herb Garden, Sophia Samra
(Featured Artist) The Aromatic Herb Garden, Sophia Samra
The Synapse: Intercollegiate science magazine
No abstract provided.
Phytoplankton Responses To Changing Irradiance And Carbon Fertilization, Alison Siersma
Phytoplankton Responses To Changing Irradiance And Carbon Fertilization, Alison Siersma
Graduate Theses and Dissertations (2019 - present)
Phytoplankton play a crucial role in marine ecosystems due to their innate ability to fix carbon. As atmospheric CO2 levels continue to rise from fossil fuel combustion, the resulting increase in dissolved CO2 and the concurrent decrease in ocean pH are likely to impact the phytoplankton community. The response of phytoplankton to elevated CO2 can vary significantly among species and environmental conditions (e.g. light, temperature, nutrient availability). To address these variations, an experiment was conducted using a controlled photobioreactor system, maintaining high and low light, constant temperature, nutrient levels, and two pCO2 concentrations. This study focused on two regionally relevant …