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Articles 34381 - 34410 of 294613
Full-Text Articles in Physical Sciences and Mathematics
The Promise And Pitfalls Of Genai In Education, Helen Crompton
The Promise And Pitfalls Of Genai In Education, Helen Crompton
STEMPS Faculty Publications
Since ChatGPT was made available to the public, artificial intelligence (AI) has had accelerated growth in the field of education at an unprecedented rate. This study examined the misuses and limitations of ChatGPT and similar generative AI as well as the affordances of these tools for teaching and learning. Using PRISMA protocol, this thematic systematic review examined extant literature from November 2022 to June 2024. The findings reveal five misuses and limitations trends in the literature of cheating, inaccuracies, plagiarism, bias, and data privacy. Affordances highlighted six areas of content creation, personalization, engagement, student coaching and assistance, assessment, and task …
Evaluating Road Environment Factors Impacting Cyclist Safety In Dublin City Using Geospatial Solutions, Niamh O' Reilly
Evaluating Road Environment Factors Impacting Cyclist Safety In Dublin City Using Geospatial Solutions, Niamh O' Reilly
Doctoral
Police Collision Reports (PCRs) are used as a measure of road safety but are subject to under reporting and biased to collisions involving motorised vehicles or serious injury outcomes. Understanding the extent and nature of cycling safety and how the road environment contributes to these requires detailed quality data on cyclist collisions. Hospital records, insurance claim records and travel diaries are frequently used to supplement these but provide little or no information about the road environment, particularly its location. This research investigates how effective alternative georeferenced bicycle safety data sources examined through a geospatial lens can address road safety issues …
A Comparison Of Arctic And Atlantic Basin Cyclone Predictability From A Climatology And Case Study Perspective, Peyton Capute
A Comparison Of Arctic And Atlantic Basin Cyclone Predictability From A Climatology And Case Study Perspective, Peyton Capute
Electronic Theses & Dissertations (2024 - present)
Arctic cyclones (ACs) can transport warm, moist air into the Arctic region, which combined with strong winds may lead to rapid declines in sea ice during the summer. As a consequence, accurate sea ice predictions during the summer may rely on being able to predict cyclone-related wind speed and direction, which critically depends on the cyclone track and intensity. Despite this, there are relatively few studies that have documented the predictability of ACs during the summer, beyond a few case studies. In addition, there has been no extensive comparison of whether these cyclones are more or less predictable relative to …
Chemical Reduction Of Curved Molecular Nanographenes: Metal Intercalation And Core Transformation, Yikun Zhu
Chemical Reduction Of Curved Molecular Nanographenes: Metal Intercalation And Core Transformation, Yikun Zhu
Electronic Theses & Dissertations (2024 - present)
The promising lithium storage capacity and fast charge transport rate make graphene a great candidate for energy storage applications. However, the harsh synthetic conditions lead to uneven size distribution and poor solubility, posing limitations on further applications and modifications of graphene and its derivatives. Molecular nanographenes, as graphene cutouts, possess outstanding chemical and physical properties stemming from their parent graphene but also demonstrate such unique features as controllable synthetic conditions, defined molecular structures, uniform size, and relatively good solubility. The improved solubility enables the use of solution chemistry methods for design modifications of molecular nanographenes and for systematical investigation of …
Toward The Unified Theory Of Said-Linked Subauroral Arcs, Evgeny V. Mishin, Anatoly V. Streltsov
Toward The Unified Theory Of Said-Linked Subauroral Arcs, Evgeny V. Mishin, Anatoly V. Streltsov
Publications
We present a unified approach to subauroral arcs within intense subauroral ion drifts (SAID), which explains the observed transition of a precursor Stable Auroral Red (SAR) arc into Strong Thermal Emission Velocity Enhancement (STEVE). This approach is based on the short-circuiting concept of fasttime SAID as an integral part of a magnetospheric voltage generator between the innermost boundaries of the freshly injected plasma sheet electrons and ring current ions. Here, enhanced plasma turbulence rapidly heats the bulk plasma and accelerates suprathermal non-Maxwellian “tails.” Heat and suprathermal electron transport rapidly elevate the ionospheric electron temperature—the source of a bright SAR arc. …
Fundamentals Of Sustainability, Eva Maleviti
Fundamentals Of Sustainability, Eva Maleviti
Publications
Fundamentals of Sustainable Aviation is the frst textbook to survey the critical feld of sustainability within the aviation industry. Taking a systems thinking approach, it presents the foundational principles of sustainability and methodically applies them to diferent aviation sectors. Opening with the basics of sustainability, emphasising the Sustainable Development Goals, the book then considers the environmental, economic and social dimensions of aviation. The following chapters apply these insights to aviation design, supply chains, operations, maintenance and facilities. The fnal chapter examines the concept of resilience in sustainable aviation. Overall, the textbook shows how future sustainability can be achieved by making …
Facilitating Mathematics And Computer Science Connections: A Cross-Curricular Approach, Kimberly E. Beck, Jessica F. Shumway, Umar Shehzad, Jody Clarke-Midura, Mimi Recker
Facilitating Mathematics And Computer Science Connections: A Cross-Curricular Approach, Kimberly E. Beck, Jessica F. Shumway, Umar Shehzad, Jody Clarke-Midura, Mimi Recker
Publications
In the United States, school curricula are often created and taught with distinct boundaries between disciplines. This division between curricular areas may serve as a hindrance to students' long-term learning and their ability to generalize. In contrast, cross-curricular pedagogy provides a way for students to think beyond the classroom walls and make important connections across disciplines. The purpose of this paper is a theoretical reflection on our use of Expansive Framing in our design of lessons across learning environments within the school. We provide a narrative account of our early work in using this theoretical framework to co-plan and enact …
Evidence That Ericoid Mycorrhizal Shrubs Can Outcompete Ectomycorrhizal Trees For Nitrogen In Tannin-Rich Litter, Kai C. Rains, Caroline Bledsoe, Tamara E. Kraus, Nina Wurzburger
Evidence That Ericoid Mycorrhizal Shrubs Can Outcompete Ectomycorrhizal Trees For Nitrogen In Tannin-Rich Litter, Kai C. Rains, Caroline Bledsoe, Tamara E. Kraus, Nina Wurzburger
School of Geosciences Faculty and Staff Publications
Mycorrhizal associations of trees play a key role in ecosystem biogeochemistry, yet we know relatively little about the nutrient acquisition strategies of ericoid mycorrhizal (ErM) shrubs, despite their prevalence in forest understories. ErM shrubs tend to produce litter with high concentrations of polyphenols, which form decay-resistant complexes with organic nitrogen (N). Some ErM fungi appear capable of producing a diverse suite of extracellular enzymes, but it is unclear whether this enables ErM shrubs to acquire the N from their own litter, and whether this ability is greater than that of ectomycorrhizal (EcM) trees, with which they commonly co-occur. Here, we …
Uav-Based Wetland Monitoring: Multispectral And Lidar Fusion With Random Forest Classification, Robert Van Alphen, Kai C. Rains, Mel Rodgers, Rocco Malservisi, Timothy H. Dixon
Uav-Based Wetland Monitoring: Multispectral And Lidar Fusion With Random Forest Classification, Robert Van Alphen, Kai C. Rains, Mel Rodgers, Rocco Malservisi, Timothy H. Dixon
School of Geosciences Faculty and Staff Publications
As sea levels rise and temperatures increase, vegetation communities in tropical and sub-tropical coastal areas will be stressed; some will migrate northward and inland. The transition from coastal marshes and scrub–shrubs to woody mangroves is a fundamental change to coastal community structure and species composition. However, this transition will likely be episodic, complicating monitoring efforts, as mangrove advances are countered by dieback from increasingly impactful storms. Coastal habitat monitoring has traditionally been conducted through satellite and ground-based surveys. Here we investigate the use of UAV-LiDAR (unoccupied aerial vehicle–light detection and ranging) and multispectral photogrammetry to study a Florida coastal wetland. …
Artificial Intelligence- Driven Fvm-Ann Model For Entropy Analysis Of Mhd Natural Bioconvection In Nanofluid-Filled Porous Cavities, N. Elsedais, M. A. Mansour, A. M. Aly, Sara Abdelsalam
Artificial Intelligence- Driven Fvm-Ann Model For Entropy Analysis Of Mhd Natural Bioconvection In Nanofluid-Filled Porous Cavities, N. Elsedais, M. A. Mansour, A. M. Aly, Sara Abdelsalam
Basic Science Engineering
No abstract provided.
Wmu Roundtable On Port Energy Transition And Stakeholders Engagement, Aykut Ölçer, Fabio Ballini, Alessandro Schönborn, Monica Canepa, Anas Alamoush, Peyman Ghaforian, Natalia Calderón
Wmu Roundtable On Port Energy Transition And Stakeholders Engagement, Aykut Ölçer, Fabio Ballini, Alessandro Schönborn, Monica Canepa, Anas Alamoush, Peyman Ghaforian, Natalia Calderón
Marener Reports
Shipping is the backbone of international trade. With a contribution of more than 80 per cent of cargo by volume and 70 per cent by value, it is the most efficient mode of transportation. The vital cargo it transports includes medical supplies and equipment, as well as food, energy, raw materials, and manufactured goods. At the same time, shipping contributes to approximately 3 per cent of the world’s greenhouse gas emissions, a figure that is expected to rise if no action is taken to reduce emissions. The 2023 International Maritime Organization Strategy on Reduction of Greenhouse Gas Emissions sets out …
Optimizing Field-Linked Simulations Of Dry Season Uptake And Monsoon Infiltration Within An Aspen-Mixed Conifer Forest, Raymond J. Hess
Optimizing Field-Linked Simulations Of Dry Season Uptake And Monsoon Infiltration Within An Aspen-Mixed Conifer Forest, Raymond J. Hess
Master's Theses
Climate models forecast that headwater catchments in the western U.S. will undergo a reduction in snowpack, early season snowmelt, and increases in evapotranspiration. The resulting extended dry season will stress vegetation in mountainous watersheds throughout the Upper Colorado River Basin. We investigate infiltration patterns and root water uptake in response to dry season disturbances within the East River watershed in Colorado. To do this, we collected soil cores, measured matric potential and sap flow, and monitored tree xylem and soil for stable isotopes of water (2H, 18O) in two soil profiles to 90 cm depth (with three Engelmann spruce and …
Characterizing Probabilities Of Outbreaks Of Dengue In Central Argentina Using A Temperature-Dependent Stochastic Model, Morgan H. Jackson, Elizabet L. Estallo, Cheng Ly, Michael A. Robert
Characterizing Probabilities Of Outbreaks Of Dengue In Central Argentina Using A Temperature-Dependent Stochastic Model, Morgan H. Jackson, Elizabet L. Estallo, Cheng Ly, Michael A. Robert
Graduate Research Posters
Dengue virus (DENV) causes over 390 million infections and around 40,000 deaths worldwide each year. DENV is primarily transmitted by the mosquito Aedes aegypti, and both the life cycle of these mosquitoes and dengue transmission are significantly impacted by temperature. In the temperate region of Central Argentina, where dengue outbreaks first began in 2009, outbreaks of dengue can only occur due to new introductions of DENV from other regions. Due to the relationships between temperature and dengue, the risk of outbreak changes throughout the year.
We develop a stochastic model including temperature-dependent mosquito life history traits and transmission-related parameters. …
Computer-Aided Craniofacial Superimposition Validation Study: The Identification Of The Leaders And Participants Of The Polish-Lithuanian January Uprising (1863–1864), Rubén Martos, Rosario Guerra, Fernando Navarro, Michela Peruch, Kevin Neuwirth, Andrea Valsecchi, Rimantas Jankauskas, Oscar Ibáñez
Computer-Aided Craniofacial Superimposition Validation Study: The Identification Of The Leaders And Participants Of The Polish-Lithuanian January Uprising (1863–1864), Rubén Martos, Rosario Guerra, Fernando Navarro, Michela Peruch, Kevin Neuwirth, Andrea Valsecchi, Rimantas Jankauskas, Oscar Ibáñez
Faculty, Staff and Student Publications
In 2017, a series of human remains corresponding to the executed leaders of the "January Uprising" of 1863-1864 were uncovered at the Upper Castle of Vilnius (Lithuania). During the archeological excavations, 14 inhumation pits with the human remains of 21 individuals were found at the site. The subsequent identification process was carried out, including the analysis and cross-comparison of post-mortem data obtained in situ and in the lab with ante-mortem data obtained from historical archives. In parallel, three anthropologists with diverse backgrounds in craniofacial identification and two students without previous experience attempted to identify 11 of these 21 individuals using …
Leveraging Machine Learning To Study How Temperature Scores Predict Pre-Term Birth Status, Erich Seamon, Jennifer A. Mattera, Sarah A. Keim, Esther M. Leerkes, Jennifer L. Rennels, Andrea J. Kayl, Kristy M. Kulhanek, Darcia Narvaez, Sarah M. Sanborn, Jennifer B. Grandits, Christine Dunkel Schetter, Mary Coussons-Read, Amanda R. Tarullo, Sarah J. Schoppe-Sullivan, Mariah E. Thomason, Julie M. Braungart-Rieker, Julie C. Lumeng, Shannon N. Lenze, Lisa M. Christian, Darby E. Saxbe, Laura R. Stroud, Christina M. Rodriguez, Stephanie Anzaman-Frasca
Leveraging Machine Learning To Study How Temperature Scores Predict Pre-Term Birth Status, Erich Seamon, Jennifer A. Mattera, Sarah A. Keim, Esther M. Leerkes, Jennifer L. Rennels, Andrea J. Kayl, Kristy M. Kulhanek, Darcia Narvaez, Sarah M. Sanborn, Jennifer B. Grandits, Christine Dunkel Schetter, Mary Coussons-Read, Amanda R. Tarullo, Sarah J. Schoppe-Sullivan, Mariah E. Thomason, Julie M. Braungart-Rieker, Julie C. Lumeng, Shannon N. Lenze, Lisa M. Christian, Darby E. Saxbe, Laura R. Stroud, Christina M. Rodriguez, Stephanie Anzaman-Frasca
Psychology Faculty Publications
Background
Preterm birth (birth at <37 completed weeks gestation) is a significant public heatlh concern worldwide. Important health, and developmental consequences of preterm birth include altered temperament development, with greater dysregulation and distress proneness.Aims
The present study leveraged advanced quantitative techniques, namely machine learning approaches, to discern the contribution of narrowly defined and broadband temperament dimensions to birth status classification (full-term vs. preterm). Along with contributing to the literature addressing temperament of infants born preterm, the present study serves as a methodological demonstration of these innovative statistical techniques.Study design
This study represents a metanalysis conducted with multiple samples (N = 19) including preterm (n = 201) children and (n = 402) born at term, with data combined across investigations to perform classification analyses.Subjects …
37>Navigating The Noise: Implications Of Increasing Ship Noise For An Arctic Ocean Soundscape, Andrea Lynn
Navigating The Noise: Implications Of Increasing Ship Noise For An Arctic Ocean Soundscape, Andrea Lynn
Antioch University Dissertations & Theses
There is no quiet way to churn water. Noise pollution caused by ships is increasing in the Arctic Ocean as sea ice melts, creating more open channels for vessels. This study provides a glimpse into the sources and balance of sounds in a portion of the Arctic Ocean soundscape surrounding the Norwegian archipelago of Svalbard. Characterization of the soundscape provides essential data as the region quickly transforms. This study also considers human perceptions of underwater ocean noise and its impacts in the region, and it reviews current ocean policy, suggesting mitigation strategies and ways forward. Before the rapid development of …
Brown Thrasher (Toxostoma Rufum) Habitat Preferences In Pine Barrens, Shrublands, And Agricultural Areas In New England, Alec Woolf
Antioch University Dissertations & Theses
Early successional habitat and related species are in decline in the Northeastern United States. One species of shrubland bird that is declining in the northeast is the Brown Thrasher, considered a species of conservation concern in several states such as New Hampshire, Rhode Island, Connecticut, New York, Vermont, and New Jersey. However, few studies have focused on examining Brown Thrasher habitat preferences. The purpose of this study was to evaluate Brown Thrasher associations with early successional habitat adjacent to farmland, within deciduous forests, and within pine barrens. I conducted systematic point count surveys with playback to assess thrasher occupancy and …
Life Cycle Assessment Of The Construction Process In A Mass Timber Structure, Mahboobeh Hemmati, Tahar Messadi, Hongmei Gu
Life Cycle Assessment Of The Construction Process In A Mass Timber Structure, Mahboobeh Hemmati, Tahar Messadi, Hongmei Gu
Architecture Faculty Publications and Presentations
Today, the application of green materials in the building industry is the norm rather than the exception and reflects an attempt to mitigate the sector’s environmental impacts. Mass timber is growing rapidly in the construction field because of its long span, speed of installation, lightness and toughness, carbon sequestration capabilities, renewability, fire rating, acoustic isolation, and thermal resistance. Mass timber is close to overtaking steel and concrete as the preferred material. The endeavor of this research is to quantitatively assess the ability of this green material to leverage the abatement of carbon emissions. Life cycle assessment (LCA) is a leading …
Does Innovation Facilitate Meeting The Co2 Emission Reduction Targets Of China: A Non-Linear Approach, Yifan Wang, Nadia Doytch, Mohammed Elheddad, Wei Li, Mengna Chi
Does Innovation Facilitate Meeting The Co2 Emission Reduction Targets Of China: A Non-Linear Approach, Yifan Wang, Nadia Doytch, Mohammed Elheddad, Wei Li, Mengna Chi
Ateneo School of Government Publications
China has been implementing energy efficiency and CO2 emission reduction schemes at the provincial level that have been embedded in the National Five Year Plans of the country. We set out to investigate the relationship between R&D expenditures and CO2 emissions in China at the province level in the context of the planned emissions reduction targets. We explore the possibility of the existence of a non-linear relationship between R&D expenditures and CO2 emissions with a non-parametric methodology, a fixed effect panel data quantile (FEQR) regression estimator applied to a panel of 30 provinces. We stratify the sample according to the …
Data For Grl Paper "Using The Curvature Of The Local Wind To Separate Energetics Contributions From Cyclones And Anticyclones Is Not Physically Meaningful", Kar Chang
SoMAS Research Data
This is the data used for preparing Fig. 1 of the paper referenced in the title.
Optimizing Uav-Assisted Data Collection In Iot Sensor Networks Using Dual Cluster Head Strategy, Keiwan Soltani, Federico Coro, Sajal K. Das
Optimizing Uav-Assisted Data Collection In Iot Sensor Networks Using Dual Cluster Head Strategy, Keiwan Soltani, Federico Coro, Sajal K. Das
Computer Science Faculty Research & Creative Works
The proliferation of the Internet of Things (IoT) has significantly impacted the integration of digital and physical realms, with Wireless Sensor Networks (WSN s) playing a crucial role. However, these sensor nodes often face challenges related to battery constraints and deployment in inaccessible terrains. The advent of Unmanned Aerial Vehicles (UAVs) presents a transformative solution, particularly for data collection from remote IoT devices. This work explores the application of UAV s to improve data collection in dense IoT sensor networks. We propose a novel approach called optimizing UAV-assisted data collection in IoT sensor networks using Dual Cluster Head (UAVDCH) that …
A Hypergraph Approach To Deep Learning Based Routing In Software-Defined Vehicular Networks, Ankur Nahar, Nishit Bhardwaj, Debasis Das, Sajal K. Das
A Hypergraph Approach To Deep Learning Based Routing In Software-Defined Vehicular Networks, Ankur Nahar, Nishit Bhardwaj, Debasis Das, Sajal K. Das
Computer Science Faculty Research & Creative Works
Software-Defined Vehicular Networks (SDVNs) revolutionize modern transportation by enabling dynamic and adaptable communication infrastructures. However, accurately capturing the dynamic communication patterns in vehicular networks, characterized by intricate spatio-temporal dynamics, remains a challenge with traditional graph-Based models. Hypergraphs, due to their ability to represent multi-way relationships, provide a more nuanced representation of these dynamics. Building on this hypergraph foundation, we introduce a novel hypergraph-Based routing algorithm. We jointly train a model that incorporates Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU) using a Deep Deterministic Policy Gradient (DDPG) approach. This model carefully extracts spatial and temporal traffic matrices, capturing elements …
Warmonger Attack: A Novel Attack Vector In Serverless Computing, Junjie Xiong, Mingkui Wei, Zhuo Lu, Yao Liu
Warmonger Attack: A Novel Attack Vector In Serverless Computing, Junjie Xiong, Mingkui Wei, Zhuo Lu, Yao Liu
Computer Science Faculty Research & Creative Works
We debut the Warmonger attack, a novel attack vector that can cause denial-of-service between a serverless computing platform and an external content server. The Warmonger attack exploits the fact that a serverless computing platform shares the same set of egress IPs among all serverless functions, which belong to different users, to access an external content server. As a result, a malicious user on this platform can purposefully misbehave and cause these egress IPs to be blocked by the content server, resulting in a platform-wide denial of service. To validate the effectiveness of the Warmonger attack, we conducted extensive experiments over …
Secure Location-Based Authenticated Key Establishment Scheme For Maritime Communication, Saurabh Agrawal, Anusha Vangala, Ashok Kumar Das, Neeraj Kumar, Sachin Shetty, Sajal K. Das
Secure Location-Based Authenticated Key Establishment Scheme For Maritime Communication, Saurabh Agrawal, Anusha Vangala, Ashok Kumar Das, Neeraj Kumar, Sachin Shetty, Sajal K. Das
Computer Science Faculty Research & Creative Works
Maritime communication helps vessels and ports plan their movements, exchange environmental information, and communicate among themselves. The vessels' movement and changing location are critical to keep them secure from data interception and data tampering by unauthorized parties during transmission. To secure maritime communication, we propose a novel lightweight authentication scheme sensitive to the current ship location. We assess the effectiveness of the proposed protocol in defending against a range of security threats while keeping communication and computation costs low and meeting the desired security and functional requirements of anonymity and untraceability. The detailed security analysis using the widely accepted Scyther …
Recommendations To Internal Auditors Regarding The Auditing And Attestation Of Mathematical Programming Models, Jose Rincón, Greg Akai, Daryl Ono
Recommendations To Internal Auditors Regarding The Auditing And Attestation Of Mathematical Programming Models, Jose Rincón, Greg Akai, Daryl Ono
Librarian Publications & Presentations
Mathematical programming planning models increase operational efficiency and minimize operating costs, but the underlying mathematics generally is complex. Combinatorial optimization is technically sophisticated which requires a strong quantitative background to successfully implement. Most internal auditors will not have the technical training to critically assess the underlying mathematics of mathematical programming planning models, but the internal auditor can still provide insight and attestation which can increase the efficiency of mathematical programming planning models.
Listening To The Voices Of America, Kathryn J. Edin, Corey D. Fields, David B. Grusky, Jure Leskovec, Marybeth J. Mattingly, Kristen M. Olson, Charles Varner
Listening To The Voices Of America, Kathryn J. Edin, Corey D. Fields, David B. Grusky, Jure Leskovec, Marybeth J. Mattingly, Kristen M. Olson, Charles Varner
Department of Sociology: Faculty Publications
We make the case for building a permanent public-use platform for conducting and analyzing immersive interviews on the everyday lives of Americans. The American Voices Project (AVP)—a widely watched experiment with this new platform—provides important early evidence on its promise. The articles in this issue reveal that, although public-use interview datasets obviously cannot meet all research needs, they do provide new opportunities to study small or hidden populations, new or emerging social problems, reactions to ongoing social crises, submerged values and attitudes, and many other aspects of American life. We conclude that a permanent AVP platform would help build an …
Plasmid-Borne Biosynthetic Gene Clusters Within A Permanently Stratified Marine Water Column, Paraskevi Mara, David Geller-Mcgrath, Elizabeth A. Suter, Gordon T. Taylor, Maria G. Pachiadaki, Virginia P. Edgcomb
Plasmid-Borne Biosynthetic Gene Clusters Within A Permanently Stratified Marine Water Column, Paraskevi Mara, David Geller-Mcgrath, Elizabeth A. Suter, Gordon T. Taylor, Maria G. Pachiadaki, Virginia P. Edgcomb
BCES: Faculty Publications
Plasmids are mobile genetic elements known to carry secondary metabolic genes that affect the fitness and survival of microbes in the environment. Well-studied cases of plasmidencoded secondary metabolic genes in marine habitats include toxin/antitoxin and antibiotic biosynthesis/resistance genes. Here, we examine metagenome-assembled genomes (MAGs) from the permanently-stratified water column of the Cariaco Basin for integrated plasmids that encode biosynthetic gene clusters of secondary metabolites (smBGCs). We identify 16 plasmid-borne smBGCs in MAGs associated primarily with Planctomycetota and Pseudomonadota that encode terpenesynthesizing genes, and genes for production of ribosomal and non-ribosomal peptides. These identified genes encode for secondary metabolites that are …
In Vivo Measurement Of Nadh Fluorescence Lifetime In Skeletal Muscle Via Fiber-Coupled Time-Correlated Single Photon Counting, Kathryn M. Priest, Jacob V. Schluns, Nathania Nischal, Colton L. Gattis, Jeffery C. Wolchok, Timothy J. Muldoon
In Vivo Measurement Of Nadh Fluorescence Lifetime In Skeletal Muscle Via Fiber-Coupled Time-Correlated Single Photon Counting, Kathryn M. Priest, Jacob V. Schluns, Nathania Nischal, Colton L. Gattis, Jeffery C. Wolchok, Timothy J. Muldoon
Biomedical Engineering Faculty Publications and Presentations
Nicotinamide adenine dinucleotide (NADH) is a cofactor that serves to shuttle electrons during metabolic processes such as glycolysis, the tricarboxylic acid cycle, and oxidative phosphorylation (OXPHOS). NADH is autofluorescent, and its fluorescence lifetime can be used to infer metabolic dynamics in living cells. Fiber-coupled time-correlated single photon counting (TCSPC) equipped with an implantable needle probe can be used to measure NADH lifetime in vivo, enabling investigation of changing metabolic demand during muscle contraction or tissue regeneration. This study illustrates a proof of concept for point-based, minimally-invasive NADH fluorescence lifetime measurement in vivo. Volumetric muscle loss (VML) injuries were …
Synthesis And Characterisation Of Molecularly Imprinted Polymers On Functionalised Silica Gel Designed For The Selective Extraction And Detection Of Nitroaromatic Compounds Coupled With Colorimetric Methods, Raymond Tang
Masters
HPLC and LC-MS are analytical instruments used to detect the trace explosives, however, the instrumental methods are expensive and require specially trained operators to prepare the samples and interpret the results, and these methods are not suitable for use in conflict zones. The overall aim is to deliver a method for the selective, sensitive and rapid detection of trace explosives in the field.
Disaggregating Longer-Term Trends From Seasonal Variations In Measured Pv System Performance, Chibuisi Chinasaokwu Okorieimoh, Brian Norton, Michael Conlon
Disaggregating Longer-Term Trends From Seasonal Variations In Measured Pv System Performance, Chibuisi Chinasaokwu Okorieimoh, Brian Norton, Michael Conlon
Articles
Photovoltaic (PV) systems are widely adopted for renewable energy generation, but their performance is influenced by complex interactions between longer-term trends and seasonal variations. This study aims to remove these factors and provide valuable insights for optimising PV system operation. We employ comprehensive datasets of measured PV system performance over five years, focusing on identifying the distinct contributions of longer-term trends and seasonal effects. To achieve this, we develop a novel analytical framework that combines time series and statistical analytical techniques. By applying this framework to the extensive performance data, we successfully break down the overall PV system output into …